WEBVTT - Ep 99 Salmonella: A hard egg to crack

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<v Speaker 1>My name is Beth, and I got caught up in

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<v Speaker 1>a salmonella outbreak. I was volunteering on a tall ship,

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<v Speaker 1>and usually in exchange volunteering, you get, you know, your

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<v Speaker 1>meals for the weekend and the place to sleep and

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<v Speaker 1>hang out with a crew at the festival and all

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<v Speaker 1>of that. So we'd been working at festival for a

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<v Speaker 1>couple of days and spent all Saturday out in the

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<v Speaker 1>sun all day, grabbed dinner real quick, hung out with

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<v Speaker 1>my friends, popped a couple of bars in Cleveland, you know,

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<v Speaker 1>evening out in the town. And the next morning, got up,

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<v Speaker 1>did the same thing over again. Ate breakfast. I was

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<v Speaker 1>at working in the head rig, out in the sun

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<v Speaker 1>all morning, and again it's another hot day, but you know,

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<v Speaker 1>nothing out of the ordinary.

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<v Speaker 2>When we took a break.

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<v Speaker 1>For lunch, I noticed that I was really feeling just

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<v Speaker 1>hot and tired and dehydrated, you know. I sat down

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<v Speaker 1>in the shade, I grabbed a water bottle, drank a

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<v Speaker 1>bunch of water, and I just assumed I'd been out

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<v Speaker 1>in the sun too long. The festival ended that day.

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<v Speaker 1>I was supposed to get a ride back to my

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<v Speaker 1>car so I could go home. The woman that was

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<v Speaker 1>supposed to give me a ride to my car, wasn't

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<v Speaker 1>there because you'd actually taken a couple of my crewmates

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<v Speaker 1>to urgent care. Found out later that they were kind

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<v Speaker 1>of feeling the same thing. They were dehydrated, they were

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<v Speaker 1>some of them had upset stomachs. I eventually got a

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<v Speaker 1>ride back to my car and headed home. It's about

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<v Speaker 1>a forty five minute drive from downtown Cleveland to where

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<v Speaker 1>I was living at the time, and as I'm driving,

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<v Speaker 1>all of a sudden it hits me just like stomach cramps,

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<v Speaker 1>stomach pain. I really felt like I had to fart

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<v Speaker 1>and it I almost made it that last couple miles. Well,

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<v Speaker 1>some parts can't be trusted. So I got home. I

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<v Speaker 1>had actually pooped my pants a little bit, and so

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<v Speaker 1>I just took off my clothes, through them in the

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<v Speaker 1>washing machine, start a loae to wash, took a shower,

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<v Speaker 1>put on pajamas, and went to bed. Woke up a

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<v Speaker 1>couple times in the middle of the night again with

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<v Speaker 1>just an urgent need to go to the bathroom, just

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<v Speaker 1>watery diarrhea every time. Whatever was inside of my intestines

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<v Speaker 1>was just on the fast track out and that so

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<v Speaker 1>I spent Sunday night. That's how I spent Monday, and

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<v Speaker 1>as I recall, that's how I spent Tuesday too. I

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<v Speaker 1>mean I tried to eat gland food like cheerios or

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<v Speaker 1>instant meshed potatoes, but every time I put something in

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<v Speaker 1>my mouth, it was just on the fast track. Clear through.

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<v Speaker 1>I started getting messages from some of my friends who

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<v Speaker 1>were on the ship still, and it wasn't just me.

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<v Speaker 1>It was at first it was eight or ten of

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<v Speaker 1>us and twenty of us, and then all of a sudden,

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<v Speaker 1>almost forty of us were sick and not getting better.

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<v Speaker 1>Probably Tuesday, I stopped trying to eat. I'm like, I'll

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<v Speaker 1>just let my entire digestive system empty out, reset itself,

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<v Speaker 1>and we'll try food again in a day or two.

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<v Speaker 1>That didn't fix the illness, but it did let me

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<v Speaker 1>control my bowels well enough that I could actually go

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<v Speaker 1>to urgent Care. So I did that. They collected a

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<v Speaker 1>sample and sent it to the lab, and I went

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<v Speaker 1>back home and lived on gatory. The next couple of days,

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<v Speaker 1>Urgent Care called me back and they're like, oh, you

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<v Speaker 1>have salmonilla. It should resolve itself, and you know, if not,

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<v Speaker 1>follow with your primary care doctor. And that's really all

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<v Speaker 1>they said about it. But you know, a week into this,

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<v Speaker 1>I still can't eat solid food. So finally, eight and

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<v Speaker 1>a half days later, I finally got into see my

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<v Speaker 1>primary care position and she walked into the exam room.

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<v Speaker 1>First thing she says is you look terrible. And the

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<v Speaker 1>next question she asked me was did you finish your antibiotics?

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<v Speaker 1>And I said, what an aibiotics? So it turns out

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<v Speaker 1>that the lab results from Urgent Care had actually said

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<v Speaker 1>you should, you know, treat this patient with this antibiotic.

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<v Speaker 1>Urgent Care never prescribed that, So my doctor started me

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<v Speaker 1>on the antibiotics. Four days later, all of a sudden,

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<v Speaker 1>I can eat food again, like it's a minor miracle.

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<v Speaker 1>But in that time and that it's about ten or

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<v Speaker 1>eleven days between when I got sick and when I

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<v Speaker 1>started feeling better, I dropped about sixteen pounds. You know,

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<v Speaker 1>that took me from being a healthy weight to being underweight.

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<v Speaker 1>And at the same time, this is happening to all

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<v Speaker 1>of my crewmates too, so we knew that something had

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<v Speaker 1>gone on in the ship. That weekend when the health

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<v Speaker 1>department actually started doing surveys and talking to all the

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<v Speaker 1>people who were and were not sick. We figured out

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<v Speaker 1>that the people that were sick were not vegetarians, and

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<v Speaker 1>they'd eaten dinner on board the ship on Saturday night.

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<v Speaker 1>Saturday dinner was Mexican castrole, So there was a version

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<v Speaker 1>with chicken in it, and there's a version that didn't

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<v Speaker 1>have chicken in it. An interview with one of the

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<v Speaker 1>guys that helped in the galley, he says he thinks

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<v Speaker 1>that chicken had been cooked about six days earlier, and

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<v Speaker 1>it was put into a wood stove after dinner one night,

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<v Speaker 1>as the stove cooled off, so the cook goes to

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<v Speaker 1>start the fire the next morning for breakfast and finds

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<v Speaker 1>room temperature chicken, and the he throws in the refrigerator

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<v Speaker 1>and that Saturday night ended up in that cast role.

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<v Speaker 1>They also, you know, took a look around the equipment

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<v Speaker 1>and took a lot of you know, measurements of you know,

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<v Speaker 1>how hot the windstove got, how cold the refrigerator was,

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<v Speaker 1>how cold the freezer was, things like that. And one

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<v Speaker 1>of the things they discovered is there actually was not

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<v Speaker 1>a food thermometer on board. One of the things about

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<v Speaker 1>these ships is they have a blackwater tank and so

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<v Speaker 1>whenever you flush a toilet on the ship, it actually

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<v Speaker 1>doesn't flush like a toilet. You actually pumped the wastewater

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<v Speaker 1>into the blackwater tank. That tank gets emptied basically with

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<v Speaker 1>a septic haller truck, so those you know, big tank

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<v Speaker 1>trucks that have the vacuum pumps. So as soon as

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<v Speaker 1>the ship got back to Eerie, they scheduled that truck

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<v Speaker 1>to come in and empty the blackwater tank because so

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<v Speaker 1>many people have been using the heads that the blackwater

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<v Speaker 1>tank was full. So first thing on Monday morning, his

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<v Speaker 1>first stop of the day was the ship. He pulls

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<v Speaker 1>in hooks up to all the connections so he can

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<v Speaker 1>suck the poop out. When he emptied the truck the

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<v Speaker 1>day before, he hadn't flipped the pump from pumping the

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<v Speaker 1>blackwater out of his truck to sucking it into his truck.

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<v Speaker 1>So what he actually did was he pushed a bunch

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<v Speaker 1>of air into the blackwater tank, which pushed salmonilla contaminated

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<v Speaker 1>pool water up through the vent and all over the

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<v Speaker 1>plays where most of the crew sleeps, and they sanitized

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<v Speaker 1>what they could but start for a lot of people

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<v Speaker 1>got caught that way too, so we actually had a

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<v Speaker 1>little secondary outbreak because the back truck was set to blow,

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<v Speaker 1>not suck. At the end of it all, I believe

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<v Speaker 1>there were thirty seven of us in the outbreak. It

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<v Speaker 1>was enough, It was a large enough percentage of the

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<v Speaker 1>crew that the ship actually had to miss some of

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<v Speaker 1>our contracted sales and events. But it managed to take

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<v Speaker 1>a bunch of young, healthy people and pretty much ruin

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<v Speaker 1>an entire summer for us. Even though you started feeling

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<v Speaker 1>better because you didn't have uncontrolled diarrhea anymore, for some

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<v Speaker 1>of us, it was months before you could just eat

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<v Speaker 1>whatever you wanted without thinking about it. And then a

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<v Speaker 1>lot of us still to this day a decade later,

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<v Speaker 1>don't eat chicken, and several of us have sworn off

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<v Speaker 1>gatorade too. That it's just both of those things are

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<v Speaker 1>things that remind us of that awful week that we

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<v Speaker 1>all spent not being able to do anything more than

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<v Speaker 1>five feet away from a toilet, and that was enough

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<v Speaker 1>to lead to some regulatory changes in that community. And

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<v Speaker 1>that's my story.

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<v Speaker 2>Oh my, oh my gosh. I mean the number of

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<v Speaker 2>times that I went, what right are you? Are you

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<v Speaker 2>kidding me?

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<v Speaker 3>Like I'm sorry?

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<v Speaker 2>What that is one of the most outrageous stories, like

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<v Speaker 2>the old chicken. I mean, I can't. I cannot.

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<v Speaker 4>I don't know that I'm ever going to be able

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<v Speaker 4>to eat chicken again.

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<v Speaker 2>Just I don't know that I'm going to be able

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<v Speaker 2>to eat like so many things again. Well, thank you

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<v Speaker 2>Beth so much for sharing your story, Like, oh my gosh,

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<v Speaker 2>what an unbelievable, horrible experience.

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<v Speaker 3>Yeah.

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<v Speaker 2>Hi, I'm Aaron Welsh.

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<v Speaker 3>And I'm Erin on an Updike and this.

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<v Speaker 2>Is this podcast will kill you.

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<v Speaker 3>Welcome. We're talking about poop today.

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<v Speaker 1>We are.

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<v Speaker 2>I love these days, I truly do.

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<v Speaker 4>We talk about poop in my house like a lot lately,

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<v Speaker 4>and so this is just like another day.

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<v Speaker 2>I mean, I feel like it's an important thing to

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<v Speaker 2>talk about and it people get real squeamish about it.

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<v Speaker 2>But literally every person produces fecal waste.

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<v Speaker 3>Yeah, everybody poops.

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<v Speaker 2>Everyone poops.

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<v Speaker 3>It's important. We have books about it, you know. Yeah.

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<v Speaker 2>I guess we're not going to get that much into it.

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<v Speaker 4>Yeah, we're not going to like Bristol stool scale it

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<v Speaker 4>over here.

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<v Speaker 2>Okay, adding that to my things to Google later list.

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<v Speaker 4>We can post a picture of it anyways.

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<v Speaker 2>Anyways, Yeah, this is gonna be an interesting episode. So

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<v Speaker 2>this is it's not our first salmonella episode.

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<v Speaker 3>No, it isn't. It isn't. Yeah, but the.

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<v Speaker 2>Last time we did salmonella, we did typhoid, which is different,

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<v Speaker 2>very different, And there's a lot of complexity in salmonella

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<v Speaker 2>and a lot of diversity in salmonella, and it's gonna

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<v Speaker 2>be interesting.

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<v Speaker 3>Yeah, it definitely is.

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<v Speaker 2>And another thing that's going to be very interesting is

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<v Speaker 2>that in this episode we also get to learn how

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<v Speaker 2>you determine things like the difference between the salmonella that

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<v Speaker 2>gives you typhoid versus a slightly maybe less scary salmonella.

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<v Speaker 4>Sarah var Yeah, we are so excited to be joined

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<v Speaker 4>later on in this episode by Sarah Zoucha, who is

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<v Speaker 4>a medical laboratory scientist that's going to give us a

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<v Speaker 4>behind the scenes look at this fascinating and so important career.

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<v Speaker 4>Like what is medical laboratory science?

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<v Speaker 3>We've never talked about it on this.

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<v Speaker 4>Podcast, so we'll talk about it today and we'll talk

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<v Speaker 4>about how you choose which tests to run on various

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<v Speaker 4>samples and what are some of the stranger samples that

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<v Speaker 4>have shown up in the lab. But we'll get to

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<v Speaker 4>all of those questions and more later on in the episode.

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<v Speaker 2>Oh, I'm so excited. It's going to be so much fun.

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<v Speaker 3>Yeah, it will be.

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<v Speaker 2>But first, should we Is it time for quarantinees?

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<v Speaker 3>Quarantinees? I think so? When are we drinking today?

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<v Speaker 2>Erin, we're drinking the chicken or the egg?

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<v Speaker 3>Lah question mark?

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<v Speaker 2>Get it?

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<v Speaker 3>Because they could both give you salmonella.

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<v Speaker 2>Yeah, along with many other things. Yeah, yeah, what is

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<v Speaker 2>in the chicken and the egg?

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<v Speaker 4>It's a very tasty concoction without any chicken or eggs

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<v Speaker 4>in it.

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<v Speaker 5>Yeah.

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<v Speaker 2>Yeah, we decided against an egg white foam for this.

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<v Speaker 4>One, considered and discarded. But it has gin and blueberry syrup,

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<v Speaker 4>lemon juice, some club soda, a little fizz for you.

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<v Speaker 4>It's fantastic.

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<v Speaker 2>And if you want to have a foam, there are

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<v Speaker 2>many different foaming alternatives. One of them is like the

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<v Speaker 2>water from chickpeas aqua faba. You can turn it into

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<v Speaker 2>a like a foam, a non egg white foam topper

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<v Speaker 2>for your cocktail.

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<v Speaker 4>And I don't think that you can get zamonella from

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<v Speaker 4>canned beans. Maybe just botulism.

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<v Speaker 2>Yeah, don't quote us on any of that. I'm any

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<v Speaker 2>of this. Moving on, moving on.

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<v Speaker 4>We'll post the full recipe for that quarantine and our

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<v Speaker 4>non alcoholic PLACEBA read it on our website, This podcast

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<v Speaker 4>will kill you dot com and all of our social

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<v Speaker 4>media channels we.

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<v Speaker 2>Will well and on our website. I have a post

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<v Speaker 2>it note. Check it out. You can find these sources

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<v Speaker 2>for all of our episodes. You can find transcripts. You

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<v Speaker 2>can find links to our bookshop dot org affiliate account,

0:13:59.320 --> 0:14:00.400
<v Speaker 2>or our good reading list.

0:14:00.559 --> 0:14:02.360
<v Speaker 4>I'm loving your dramatic pauses here, Aaron.

0:14:03.000 --> 0:14:06.760
<v Speaker 2>You can find music by Bloodmobile. You can find links

0:14:06.800 --> 0:14:08.199
<v Speaker 2>to our merch our Patreon.

0:14:09.720 --> 0:14:10.840
<v Speaker 3>Can't read your own handwriting?

0:14:11.240 --> 0:14:15.280
<v Speaker 2>I can't. I cannot read my own handwriting and alcohol

0:14:15.320 --> 0:14:17.360
<v Speaker 2>free episodes. That'll do it?

0:14:17.960 --> 0:14:21.920
<v Speaker 4>Fantastic, well done. Well shall we get into this, Aaron.

0:14:21.840 --> 0:14:22.280
<v Speaker 2>Let's do it.

0:14:22.320 --> 0:14:24.920
<v Speaker 3>I'm excited about it, me too. We'll take a quick

0:14:24.920 --> 0:14:25.520
<v Speaker 3>break first.

0:14:58.200 --> 0:15:01.440
<v Speaker 4>Like you said, Aaron, we've already it becomes somewhat familiar

0:15:01.520 --> 0:15:06.000
<v Speaker 4>with the genus salmonella during our typhoid fever episode. Today,

0:15:06.200 --> 0:15:09.680
<v Speaker 4>we're going to focus on all of the other serovars

0:15:09.800 --> 0:15:13.800
<v Speaker 4>of salmonella and enterica, so you may or may not

0:15:14.000 --> 0:15:18.320
<v Speaker 4>listeners And Aaron remember from our typhoid episode that typhoid

0:15:18.320 --> 0:15:22.960
<v Speaker 4>fever is caused by a very very specific bacterium. It's

0:15:23.160 --> 0:15:28.280
<v Speaker 4>Salmonella enterica subspecies enterica serovar typhee.

0:15:28.800 --> 0:15:33.160
<v Speaker 2>Okay, Oh, I forgot about the subspecies part of it, yep, exactly.

0:15:33.840 --> 0:15:36.880
<v Speaker 4>And I also mentioned during that episode that there's another

0:15:36.960 --> 0:15:40.920
<v Speaker 4>serovar paratyphee, and there's a couple different versions of that,

0:15:41.080 --> 0:15:44.120
<v Speaker 4>and together those sera VARs cause what are known as

0:15:44.360 --> 0:15:45.640
<v Speaker 4>enteric fevers.

0:15:45.240 --> 0:15:46.800
<v Speaker 3>Or the typhoid fevers.

0:15:47.480 --> 0:15:52.640
<v Speaker 4>Okay, so let's refamiliarize ourselves with salmonella and talk about

0:15:52.720 --> 0:15:54.120
<v Speaker 4>all of the rest of them, shall we.

0:15:54.440 --> 0:15:55.680
<v Speaker 2>I'm excited, let's do it.

0:15:55.960 --> 0:15:57.160
<v Speaker 3>Let's so.

0:15:57.360 --> 0:16:04.640
<v Speaker 4>Salmonella enterica is a negative, facultatively intracellular anaerobe, which means

0:16:04.680 --> 0:16:08.280
<v Speaker 4>it can live and grow both inside and outside oursells,

0:16:08.760 --> 0:16:11.640
<v Speaker 4>and both with or without the presence of oxygen. So

0:16:11.680 --> 0:16:17.800
<v Speaker 4>it's quite versatile, I guess. And it is present worldwide.

0:16:18.120 --> 0:16:23.080
<v Speaker 4>It's absolutely everywhere. And today we're focusing on all of

0:16:23.080 --> 0:16:27.120
<v Speaker 4>the non enteric fever causing seravars. These are often called

0:16:27.440 --> 0:16:30.960
<v Speaker 4>nts non typhoid salmonella.

0:16:31.320 --> 0:16:32.360
<v Speaker 2>Oh.

0:16:32.440 --> 0:16:35.800
<v Speaker 4>So, there are over twenty five hundred, two thousand and

0:16:35.880 --> 0:16:41.200
<v Speaker 4>five hundred serivars of Salmonella enterica that are in six

0:16:41.400 --> 0:16:42.920
<v Speaker 4>different subspecies.

0:16:43.600 --> 0:16:46.400
<v Speaker 2>Okay, so quick question, And I don't know if we

0:16:46.520 --> 0:16:52.240
<v Speaker 2>covered this on typhoid, what makes a seravar a seravar?

0:16:52.520 --> 0:16:53.920
<v Speaker 3>I knew that you were going to ask that, and

0:16:53.960 --> 0:16:55.120
<v Speaker 3>I still don't really know.

0:16:55.880 --> 0:16:58.840
<v Speaker 2>Did I ask that on sealin R have typhoid?

0:17:00.120 --> 0:17:05.280
<v Speaker 4>I can't remember. I still don't fully understand because it

0:17:05.320 --> 0:17:09.960
<v Speaker 4>gets into the like very confusing genetics of bacterial species

0:17:09.960 --> 0:17:11.800
<v Speaker 4>and like how you define a species and how you

0:17:11.800 --> 0:17:15.960
<v Speaker 4>define a subspecies. I don't know the answer, but we

0:17:15.960 --> 0:17:18.879
<v Speaker 4>can at least narrow it down a little further because

0:17:18.920 --> 0:17:23.840
<v Speaker 4>of those six different subspecies of Salmonella enterica, we're focusing

0:17:23.960 --> 0:17:29.600
<v Speaker 4>on Salmonella enterica subspecies enterica. So all of the serovars

0:17:29.920 --> 0:17:34.399
<v Speaker 4>that cause disease in humans and other animals are in

0:17:34.680 --> 0:17:40.119
<v Speaker 4>this very specific subspecies. And there are over fifteen hundred

0:17:40.160 --> 0:17:43.040
<v Speaker 4>different seravars just in this subspecies alone.

0:17:43.560 --> 0:17:45.520
<v Speaker 2>That's yeah, wow.

0:17:45.920 --> 0:17:46.200
<v Speaker 3>Yeah.

0:17:46.320 --> 0:17:50.440
<v Speaker 4>Basically, all of these different sero of VARs have differences

0:17:50.480 --> 0:17:53.840
<v Speaker 4>between them obviously that lead for them to have differential

0:17:53.920 --> 0:17:55.080
<v Speaker 4>host specificity.

0:17:55.440 --> 0:17:56.320
<v Speaker 3>So some of these.

0:17:56.200 --> 0:17:59.840
<v Speaker 4>Ser VARs infect and cause illness in a really wide

0:18:00.119 --> 0:18:04.199
<v Speaker 4>range of host species, and others have a relatively narrow

0:18:04.240 --> 0:18:08.680
<v Speaker 4>host range, like for example, Typhie right, which really only

0:18:08.800 --> 0:18:13.760
<v Speaker 4>causes disease in humans. But luckily for what we're talking

0:18:13.800 --> 0:18:19.040
<v Speaker 4>about today, most of the non typhoid subspecies, the pathogenic ones,

0:18:19.200 --> 0:18:25.680
<v Speaker 4>cause pretty similar disease. They cause enterocolitis or diarrhea, so

0:18:25.720 --> 0:18:28.440
<v Speaker 4>that's why they often get lumped together as the non

0:18:28.520 --> 0:18:33.040
<v Speaker 4>typhoid Salmonella group. They definitely have a range in their

0:18:33.080 --> 0:18:35.760
<v Speaker 4>severity and like I said, their host specificity, so some

0:18:35.960 --> 0:18:39.560
<v Speaker 4>might really only cause disease in birds or in reptiles

0:18:39.600 --> 0:18:42.640
<v Speaker 4>and only rarely in humans, where others are much more

0:18:42.640 --> 0:18:47.320
<v Speaker 4>common in humans, etc. And they can range in their severity,

0:18:48.119 --> 0:18:52.000
<v Speaker 4>and they can also differ in their susceptibility to antibiotics

0:18:52.160 --> 0:18:54.199
<v Speaker 4>for a number of different reasons. We'll get into a

0:18:54.200 --> 0:18:57.560
<v Speaker 4>little more later, but an important thing to keep in

0:18:57.600 --> 0:19:00.880
<v Speaker 4>mind is that when characteristics that make a particular sera

0:19:01.000 --> 0:19:04.800
<v Speaker 4>var more invasive or more likely to cause an invasive

0:19:04.840 --> 0:19:10.119
<v Speaker 4>disease a more serious disease, combined with characteristics that confer

0:19:10.160 --> 0:19:14.520
<v Speaker 4>antibiotic resistance, those two things combined can make for a

0:19:14.520 --> 0:19:20.840
<v Speaker 4>pretty dangerous seraph ar. Yeah yeah, Okay, So let's get

0:19:20.880 --> 0:19:24.080
<v Speaker 4>into how we get this, shall we? I think everybody

0:19:24.119 --> 0:19:29.080
<v Speaker 4>knows at this point. Yeah, just like typhoid, other strains

0:19:29.080 --> 0:19:31.680
<v Speaker 4>of salmonella in erica, I might refer to them as

0:19:31.720 --> 0:19:34.160
<v Speaker 4>just nts or salmonella.

0:19:34.640 --> 0:19:38.040
<v Speaker 2>I mean, I say salmonella throughout cool I think the

0:19:38.080 --> 0:19:38.480
<v Speaker 2>whole time.

0:19:38.560 --> 0:19:45.440
<v Speaker 4>Yeah, these are transmitted primarily fecal oral in some capacity.

0:19:45.960 --> 0:19:48.719
<v Speaker 3>Poop is where these bacteria.

0:19:48.240 --> 0:19:52.359
<v Speaker 4>Come from, and poop has to somehow make it into

0:19:52.400 --> 0:19:56.520
<v Speaker 4>your mouth. Salmonella is really a gut pathogen. It's found

0:19:56.640 --> 0:20:00.639
<v Speaker 4>as a commensal organism in the guts of a lot

0:20:00.720 --> 0:20:05.040
<v Speaker 4>of different animals. So salmonella can make its way into

0:20:05.080 --> 0:20:09.360
<v Speaker 4>the soil or the water wherever there is fecal contamination.

0:20:10.280 --> 0:20:13.280
<v Speaker 4>But even if they're naturally in the gut of an animal,

0:20:13.320 --> 0:20:16.000
<v Speaker 4>that doesn't mean that they should be in anywhere that

0:20:16.040 --> 0:20:19.560
<v Speaker 4>they would come into contact with the food supply, right, Like, Okay,

0:20:19.600 --> 0:20:21.600
<v Speaker 4>they're in the gut, they shouldn't be in the breast,

0:20:21.640 --> 0:20:23.800
<v Speaker 4>they shouldn't be in the meat, they shouldn't be in

0:20:23.840 --> 0:20:26.480
<v Speaker 4>the feathers, they shouldn't be anywhere else except for in

0:20:26.560 --> 0:20:27.440
<v Speaker 4>the gut, right.

0:20:27.960 --> 0:20:28.240
<v Speaker 3>Yeah.

0:20:28.800 --> 0:20:32.840
<v Speaker 4>And also like salmonilla typhe that we talked about the

0:20:32.880 --> 0:20:36.040
<v Speaker 4>other serivars of salmonilla do tend to require a relatively

0:20:36.119 --> 0:20:40.680
<v Speaker 4>large infectious dose, upwards of fifty thousand bacteria in order

0:20:40.720 --> 0:20:44.359
<v Speaker 4>to establish an infection. That's a lot. It is a lot,

0:20:44.800 --> 0:20:48.040
<v Speaker 4>but these bacteria can grow to be in really high numbers,

0:20:48.359 --> 0:20:51.080
<v Speaker 4>as we'll talk about in just a second. So when

0:20:51.119 --> 0:20:55.600
<v Speaker 4>you get exposed to a pathogenic serivar of salmonilla, you

0:20:55.680 --> 0:20:58.400
<v Speaker 4>eat it right on your chicken.

0:20:58.160 --> 0:20:59.560
<v Speaker 3>Casserole or whatever.

0:21:00.880 --> 0:21:05.160
<v Speaker 4>It travels through your stomach, through your intestines, and generally

0:21:05.320 --> 0:21:08.480
<v Speaker 4>establishes an infection in the terminal ilium, which is like

0:21:08.520 --> 0:21:11.680
<v Speaker 4>the last bit of your small intestine, or in your

0:21:11.680 --> 0:21:14.159
<v Speaker 4>colon the large intestine. Those are the two areas that

0:21:14.200 --> 0:21:18.080
<v Speaker 4>salmonella likes. Asterisk, I'm talking about human infection. I know

0:21:18.240 --> 0:21:19.920
<v Speaker 4>nothing about the guts of other animals.

0:21:21.520 --> 0:21:23.520
<v Speaker 2>Why does it like those areas?

0:21:23.920 --> 0:21:27.320
<v Speaker 4>I think that that's just where it makes a great

0:21:27.320 --> 0:21:31.480
<v Speaker 4>home in the epithelium. Okay, the epithelium is different throughout

0:21:31.480 --> 0:21:34.120
<v Speaker 4>your whole rest of your gut, and your small intestine

0:21:34.280 --> 0:21:36.480
<v Speaker 4>prior to that has a lot of like villi and

0:21:36.520 --> 0:21:39.359
<v Speaker 4>all these little things that I don't know exactly why,

0:21:39.600 --> 0:21:41.920
<v Speaker 4>But that's not where salmonella likes to make its home.

0:21:42.200 --> 0:21:42.560
<v Speaker 1>Okay.

0:21:44.440 --> 0:21:47.439
<v Speaker 4>Now, once it's there, they sort of grab on to

0:21:47.520 --> 0:21:52.080
<v Speaker 4>that epithelium and they have a number of different virulence

0:21:52.119 --> 0:21:57.159
<v Speaker 4>factors that what they do is induce a huge amount

0:21:57.320 --> 0:22:01.719
<v Speaker 4>of inflammation, especially neutrophills, which are often one of our

0:22:01.840 --> 0:22:04.480
<v Speaker 4>first responders, one of our first white blood cells to

0:22:04.560 --> 0:22:08.040
<v Speaker 4>like rush into the scene, and they induce a ton

0:22:08.119 --> 0:22:10.960
<v Speaker 4>of this. So you have tons and tons of neutrophils

0:22:10.960 --> 0:22:15.520
<v Speaker 4>and other like inflammatory cells cytokines rushing to the area.

0:22:16.119 --> 0:22:18.840
<v Speaker 4>And this all starts to happen. Within one to three

0:22:18.920 --> 0:22:22.959
<v Speaker 4>hours of an infection. You see massive amounts of inflammation

0:22:23.280 --> 0:22:26.800
<v Speaker 4>coming in. To try and fight off these bacteria, we

0:22:26.880 --> 0:22:29.600
<v Speaker 4>start making a whole bunch of proteins, We start secreting

0:22:29.640 --> 0:22:32.520
<v Speaker 4>things to try and fend off these bacteria, and then

0:22:32.560 --> 0:22:36.080
<v Speaker 4>within a few more hours is when the diarrhea starts.

0:22:36.320 --> 0:22:38.640
<v Speaker 3>Okay, So symptoms.

0:22:38.080 --> 0:22:41.320
<v Speaker 4>Start within like six to twelve hours after exposure, but

0:22:41.680 --> 0:22:46.800
<v Speaker 4>after the development of this intense amount of inflammation. Right, So,

0:22:46.840 --> 0:22:52.560
<v Speaker 4>typically the symptoms are a pretty acute onset of really

0:22:53.000 --> 0:23:01.520
<v Speaker 4>painful crampy crampy abdominal pain, and watery diarrhea. Sometimes this

0:23:01.640 --> 0:23:05.320
<v Speaker 4>diarrhea can be bloody, especially more common in kids who

0:23:05.359 --> 0:23:09.080
<v Speaker 4>tend to have even more severe inflammation. And then it's

0:23:09.119 --> 0:23:11.480
<v Speaker 4>also not uncommon to have a lot of nausea and

0:23:11.520 --> 0:23:14.359
<v Speaker 4>vomiting because your whole colon and that last part of

0:23:14.400 --> 0:23:17.280
<v Speaker 4>your small intestine are just full of inflammation. It makes

0:23:17.280 --> 0:23:18.960
<v Speaker 4>your whole guts really angry.

0:23:19.480 --> 0:23:22.280
<v Speaker 2>To your body is just like, get everything out of

0:23:22.359 --> 0:23:24.000
<v Speaker 2>me now, exactly.

0:23:25.320 --> 0:23:30.200
<v Speaker 4>And the good news is that without any treatment whatsoever,

0:23:31.320 --> 0:23:36.119
<v Speaker 4>Salmonella entercholitis salmonella related diarrhea tends to be a self

0:23:36.160 --> 0:23:38.760
<v Speaker 4>limited infection that does clear up over the course of

0:23:38.800 --> 0:23:41.439
<v Speaker 4>about a week, which is a really long time to

0:23:41.480 --> 0:23:44.520
<v Speaker 4>be having massive diarrhea and nausea and vomiting.

0:23:44.400 --> 0:23:46.479
<v Speaker 2>Right and not being able to keep anything down.

0:23:46.680 --> 0:23:49.320
<v Speaker 4>Yeah, So as long as you can keep something down,

0:23:49.359 --> 0:23:52.399
<v Speaker 4>as long as you can stay hydrated and avoid electrolyte

0:23:52.400 --> 0:23:56.280
<v Speaker 4>imbalances from this diarrhea, then you're going to be okay.

0:23:57.000 --> 0:24:00.959
<v Speaker 4>And in general, antibiotics are actually not recommend it, Like

0:24:01.040 --> 0:24:04.480
<v Speaker 4>the CDC, the World Health Organization, it's generally agreed upon

0:24:04.640 --> 0:24:09.160
<v Speaker 4>that for this type of self limited diarrhea, you generally

0:24:09.240 --> 0:24:12.880
<v Speaker 4>don't give antibiotics, and the only times that you do

0:24:13.000 --> 0:24:16.919
<v Speaker 4>are if there are specific risk factors that make you

0:24:17.000 --> 0:24:20.320
<v Speaker 4>think that this is likely to become an invasive infection

0:24:20.640 --> 0:24:23.200
<v Speaker 4>or you have very high risk of it just being

0:24:23.200 --> 0:24:26.600
<v Speaker 4>a really severe diarrhea, like in our first hand account,

0:24:26.720 --> 0:24:30.919
<v Speaker 4>if you're not keeping anything down, then of course something

0:24:31.000 --> 0:24:35.920
<v Speaker 4>is wrong, or if you're very very young or very elderly,

0:24:36.280 --> 0:24:41.240
<v Speaker 4>or immunal compromised, especially with something like HIV. And one

0:24:41.280 --> 0:24:43.600
<v Speaker 4>of the reasons that it's generally recommended not to use

0:24:43.640 --> 0:24:47.720
<v Speaker 4>antibiotics in the setting of diarrheal disease is that antibiotic

0:24:47.720 --> 0:24:52.240
<v Speaker 4>administration in some cases can actually prolong the illness, and

0:24:52.359 --> 0:24:55.320
<v Speaker 4>it can prolong the shedding of the infectious bacteria in

0:24:55.359 --> 0:24:59.000
<v Speaker 4>this stool, which I find absolutely fascinating. But now the question,

0:24:59.040 --> 0:25:02.760
<v Speaker 4>of course is how often does this become a more

0:25:02.880 --> 0:25:07.560
<v Speaker 4>severe infection? And by more severe, what I mean is

0:25:07.600 --> 0:25:12.639
<v Speaker 4>that while in general, these Salmonella enterocolitis infections are just

0:25:12.720 --> 0:25:17.800
<v Speaker 4>limited to this diarrhea, if these bacteria enter through the

0:25:17.840 --> 0:25:20.240
<v Speaker 4>wall of your colon or your small intestine and make

0:25:20.280 --> 0:25:25.040
<v Speaker 4>it into your bloodstream, they can cause a systemic infection, right,

0:25:25.080 --> 0:25:28.359
<v Speaker 4>and that can be really severe, just like typhoid.

0:25:29.040 --> 0:25:31.000
<v Speaker 2>What does that systemic infection look like.

0:25:31.080 --> 0:25:34.480
<v Speaker 4>Great question, Aaron. It looks a lot like typhoid or

0:25:34.640 --> 0:25:37.840
<v Speaker 4>enteric fever. It can be a really really high fever.

0:25:38.640 --> 0:25:39.520
<v Speaker 3>You can see.

0:25:39.320 --> 0:25:42.240
<v Speaker 4>Enlargement of the liver and the spleen as the bacteria

0:25:42.320 --> 0:25:46.160
<v Speaker 4>travel there and begin to replicate within our white blood cells.

0:25:47.359 --> 0:25:50.080
<v Speaker 4>It can even invade the lungs in some cases, it

0:25:50.119 --> 0:25:54.240
<v Speaker 4>can cause respiratory symptoms. If these bacteria travel to the

0:25:54.240 --> 0:25:56.840
<v Speaker 4>heart and infect the heart or our large arteries like

0:25:56.840 --> 0:25:59.800
<v Speaker 4>our aorda, it can cause endocarditis that's inflammation of the

0:25:59.920 --> 0:26:03.200
<v Speaker 4>art or end arteritis that's inflammation of our arteries.

0:26:03.720 --> 0:26:05.480
<v Speaker 3>This can very quickly.

0:26:05.119 --> 0:26:09.919
<v Speaker 4>Become a systemic bacteremia, so people can then go into shock.

0:26:10.440 --> 0:26:13.720
<v Speaker 4>They can get very sick, very quickly. And what's interesting

0:26:14.119 --> 0:26:19.000
<v Speaker 4>is that often people who end up with invasive salmonella

0:26:19.160 --> 0:26:22.760
<v Speaker 4>that's not typhoid, tend to not really have as much

0:26:22.760 --> 0:26:23.920
<v Speaker 4>of the diarrheal.

0:26:23.480 --> 0:26:29.800
<v Speaker 2>Type symptoms at the beginning throughout their infection. Interesting, yeah,

0:26:30.280 --> 0:26:34.360
<v Speaker 2>because the body is not just like shedding the as

0:26:34.440 --> 0:26:35.040
<v Speaker 2>much or what.

0:26:35.280 --> 0:26:38.119
<v Speaker 4>Yeah, I don't fully know, and I really tried to

0:26:38.119 --> 0:26:40.280
<v Speaker 4>get a handle on, first of all, how often does

0:26:40.280 --> 0:26:43.200
<v Speaker 4>this happen? And from what I can tell, it's actually

0:26:43.280 --> 0:26:46.439
<v Speaker 4>way more common than I realized because the papers that

0:26:46.480 --> 0:26:48.920
<v Speaker 4>I found that cited an actual number said that it

0:26:48.960 --> 0:26:50.680
<v Speaker 4>could be up to five percent.

0:26:50.440 --> 0:26:50.960
<v Speaker 3>Of the time.

0:26:51.400 --> 0:26:56.760
<v Speaker 4>Wow, which seems really really high, right, And the mortality

0:26:56.840 --> 0:27:00.719
<v Speaker 4>rate in these invasive infections can be as high as

0:27:00.760 --> 0:27:02.080
<v Speaker 4>twenty to twenty five percent.

0:27:02.960 --> 0:27:06.200
<v Speaker 2>So this is interesting because I think it calls into

0:27:06.320 --> 0:27:09.280
<v Speaker 2>question two things in my mind. Number one is that

0:27:09.960 --> 0:27:13.879
<v Speaker 2>the five percent, like, how accurate are the estimates that

0:27:13.920 --> 0:27:18.840
<v Speaker 2>we have of you know, salmonella cases? Number one?

0:27:19.040 --> 0:27:19.280
<v Speaker 3>Yeah.

0:27:19.359 --> 0:27:22.200
<v Speaker 2>Number two, I think that this makes me ask the

0:27:22.280 --> 0:27:27.280
<v Speaker 2>question about like I understand that it's sometimes not recommended

0:27:27.320 --> 0:27:32.000
<v Speaker 2>to give antibiotics for salmonella, but sometimes it is like,

0:27:32.160 --> 0:27:36.159
<v Speaker 2>how do you know? Like that that line seems like

0:27:36.359 --> 0:27:39.000
<v Speaker 2>suddenly you cross it and this could be really bad,

0:27:39.200 --> 0:27:39.919
<v Speaker 2>really fast.

0:27:40.160 --> 0:27:42.960
<v Speaker 3>Yeah, And so what I don't know.

0:27:43.119 --> 0:27:45.919
<v Speaker 4>The answer to what I didn't quite see in the

0:27:46.000 --> 0:27:51.200
<v Speaker 4>discussion of the invasive non typhoidal salmonella infections is whether

0:27:51.280 --> 0:27:55.600
<v Speaker 4>people tend to have like a Salmonella enterocolitis salmonella related

0:27:55.640 --> 0:27:59.040
<v Speaker 4>diarrhea and then progress to invasive disease, or if these

0:27:59.040 --> 0:28:01.760
<v Speaker 4>are kind of like two different disease processes caused by

0:28:01.760 --> 0:28:05.480
<v Speaker 4>the same infection or caused by the same bacterium rather okay,

0:28:05.840 --> 0:28:10.240
<v Speaker 4>and it kind of seems like it's two separate disease processes.

0:28:10.920 --> 0:28:14.080
<v Speaker 2>Huh, that's very interesting.

0:28:14.400 --> 0:28:17.280
<v Speaker 4>Yeah, But that's not to say that people can't become

0:28:17.359 --> 0:28:20.840
<v Speaker 4>severely ill from quote unquote just diarrhea.

0:28:20.960 --> 0:28:21.160
<v Speaker 3>Right.

0:28:21.240 --> 0:28:23.399
<v Speaker 4>You can end up with electrolyte imbalances, you can end

0:28:23.480 --> 0:28:25.240
<v Speaker 4>up with weight loss, you can end up very, very

0:28:25.280 --> 0:28:28.840
<v Speaker 4>sick even from just diarrhea. So it's not like nobody

0:28:29.000 --> 0:28:32.120
<v Speaker 4>should get antibiotics. It's just a matter of like risk

0:28:32.240 --> 0:28:35.000
<v Speaker 4>stratifying who's more likely to either have a really hard

0:28:35.040 --> 0:28:37.800
<v Speaker 4>time with it and not be able to tolerate food

0:28:37.840 --> 0:28:39.560
<v Speaker 4>and just have a really hard time with the infection,

0:28:40.720 --> 0:28:43.440
<v Speaker 4>and who is likely to go on to potentially have

0:28:43.480 --> 0:28:45.840
<v Speaker 4>a risk for invasive disease, And.

0:28:45.840 --> 0:28:50.160
<v Speaker 2>So beyond people who are immune compromised, are there other

0:28:50.240 --> 0:28:52.480
<v Speaker 2>risk factors for invasive disease?

0:28:52.800 --> 0:28:56.360
<v Speaker 4>Being very young, so under five, being very old so

0:28:56.680 --> 0:29:03.160
<v Speaker 4>over seventy or seventy five, And interestingly, so okay, let

0:29:03.160 --> 0:29:05.280
<v Speaker 4>me back up for a second. Remember how I said

0:29:05.280 --> 0:29:10.760
<v Speaker 4>that salmonella causes a lot of inflammation in your gut. Yeah,

0:29:11.080 --> 0:29:14.400
<v Speaker 4>so this is something that's totally different that these non

0:29:14.440 --> 0:29:18.720
<v Speaker 4>typhoidal salmonellas do that typhoid doesn't do. So typhoid doesn't

0:29:18.760 --> 0:29:21.920
<v Speaker 4>cause a lot of inflammation in your gut, all of

0:29:21.960 --> 0:29:26.360
<v Speaker 4>the other serivars that cause infection in humans do. And

0:29:26.440 --> 0:29:28.400
<v Speaker 4>so one of the things that we have seen is

0:29:28.440 --> 0:29:34.720
<v Speaker 4>that there are inherited deficiencies in certain inflammatory systems. Specifically,

0:29:34.960 --> 0:29:38.480
<v Speaker 4>if anyone cares, it's like certain inner luken systems IL

0:29:38.600 --> 0:29:42.400
<v Speaker 4>twelve and ILE twenty three. That people with deficiencies in

0:29:42.440 --> 0:29:46.360
<v Speaker 4>these systems are at much higher risk of invasive non

0:29:46.360 --> 0:29:51.520
<v Speaker 4>typhoidal salmonella infection, and they're more resistant to typhoid infections.

0:29:51.600 --> 0:29:53.960
<v Speaker 2>That is fascinating.

0:29:54.200 --> 0:29:55.680
<v Speaker 1>Uh huh. Yeah.

0:29:56.240 --> 0:29:59.680
<v Speaker 4>The other thing is that salmonella that we're talking about today,

0:30:00.000 --> 0:30:03.880
<v Speaker 4>these ser vrs seem to be specifically adapted to survive

0:30:04.160 --> 0:30:07.880
<v Speaker 4>in a highly inflamed environment. So it's thought that this

0:30:08.080 --> 0:30:12.000
<v Speaker 4>actually lends it a competitive advantage to establishing an infection

0:30:12.120 --> 0:30:14.720
<v Speaker 4>in our guts. Right, they get into our guts, they

0:30:14.720 --> 0:30:18.360
<v Speaker 4>stimulate a massive amount of inflammation that makes it harder

0:30:18.640 --> 0:30:20.680
<v Speaker 4>for a lot of our normal gut flora to thrive.

0:30:21.280 --> 0:30:22.840
<v Speaker 3>Then ensues massive.

0:30:22.520 --> 0:30:25.480
<v Speaker 4>Diarrhea, wiping out all of their competitors, and then they

0:30:25.520 --> 0:30:26.880
<v Speaker 4>can kind of flourish and take over.

0:30:27.560 --> 0:30:33.600
<v Speaker 2>I really enjoy thinking about, like the ecology of microbial

0:30:33.640 --> 0:30:37.360
<v Speaker 2>interactions inside I know someone, It's so interesting.

0:30:37.680 --> 0:30:38.680
<v Speaker 3>Yeah, and I.

0:30:38.680 --> 0:30:43.320
<v Speaker 4>Wonder too, how much could somebody's individual microbiome put them

0:30:43.400 --> 0:30:46.400
<v Speaker 4>at risk or at less risk for not only having

0:30:46.440 --> 0:30:49.680
<v Speaker 4>an infection, but having a severe infection or an invasive infection.

0:30:50.360 --> 0:30:54.040
<v Speaker 2>Yeah, it's it's really interesting to think about. But also

0:30:54.600 --> 0:30:58.800
<v Speaker 2>what about the people who get infected and then don't

0:30:58.800 --> 0:31:02.560
<v Speaker 2>have any inflame animation and the salmonol just hangs out

0:31:02.600 --> 0:31:05.440
<v Speaker 2>in there? Is that what's going on with carriers?

0:31:06.240 --> 0:31:11.880
<v Speaker 4>So non typhotal salmonella, the kind that causes disease, we

0:31:11.960 --> 0:31:14.720
<v Speaker 4>don't tend to see carriers the way in humans, at

0:31:14.800 --> 0:31:17.800
<v Speaker 4>least the way that we see with typhoid. So people

0:31:17.840 --> 0:31:21.840
<v Speaker 4>tend to shed for like a month after infection, like

0:31:21.880 --> 0:31:24.280
<v Speaker 4>there's still salmonella there that they're pooping out, and in

0:31:24.400 --> 0:31:26.640
<v Speaker 4>kids it can be as long as seven or eight weeks,

0:31:26.800 --> 0:31:28.960
<v Speaker 4>which is still a fairly long time to be pooping

0:31:28.960 --> 0:31:33.040
<v Speaker 4>out salmonella. But we don't see like we do in typhoid,

0:31:33.120 --> 0:31:35.360
<v Speaker 4>this carrier state of like a year or two years,

0:31:35.400 --> 0:31:37.640
<v Speaker 4>or ten years, or your whole life, which I think

0:31:37.720 --> 0:31:40.280
<v Speaker 4>is really interesting, and it kind of points to like

0:31:40.760 --> 0:31:43.800
<v Speaker 4>this really is a pathogen.

0:31:43.840 --> 0:31:46.160
<v Speaker 3>In humans and not a commensal.

0:31:46.520 --> 0:31:53.120
<v Speaker 4>Yeah, huh, yeah, that that's the biology erin Wow.

0:31:53.440 --> 0:31:55.840
<v Speaker 3>I mean that's kind of short.

0:31:57.560 --> 0:31:59.719
<v Speaker 2>How much do we know about? I mean, and this

0:31:59.840 --> 0:32:03.600
<v Speaker 2>is probably like way too much of a rabbit hole question,

0:32:03.640 --> 0:32:08.040
<v Speaker 2>but how much we know about different serovars and the

0:32:08.080 --> 0:32:11.320
<v Speaker 2>frequency of them, or the intensity of disease that they cause,

0:32:11.440 --> 0:32:13.640
<v Speaker 2>or which ones to keep an eye out for, which

0:32:13.640 --> 0:32:16.240
<v Speaker 2>ones they are associated with, which food products, all those things.

0:32:16.520 --> 0:32:17.520
<v Speaker 3>It's a very good question.

0:32:17.600 --> 0:32:19.920
<v Speaker 4>So I read a paper that was really diving into

0:32:19.960 --> 0:32:22.360
<v Speaker 4>that kind of like this specific epimiology of all of

0:32:22.360 --> 0:32:25.520
<v Speaker 4>the different seravars. It's hard because there's like fifteen hundred,

0:32:26.480 --> 0:32:27.360
<v Speaker 4>which is so many.

0:32:27.880 --> 0:32:29.920
<v Speaker 2>Yeah, I feel like we could spend the entire episode

0:32:29.960 --> 0:32:31.600
<v Speaker 2>just like listing the names of them, and then we'd

0:32:31.600 --> 0:32:34.720
<v Speaker 2>be like, okay, a two hour episode.

0:32:35.200 --> 0:32:36.040
<v Speaker 3>Yeah.

0:32:36.200 --> 0:32:38.200
<v Speaker 4>So there are a few that kind of stick out

0:32:38.240 --> 0:32:44.240
<v Speaker 4>as being the most common worldwide and causing and therefore

0:32:44.320 --> 0:32:48.000
<v Speaker 4>I guess causing the most infection, not necessarily the most

0:32:48.720 --> 0:32:53.280
<v Speaker 4>severe infection, but just the most common ones. Those are enturiditis.

0:32:54.240 --> 0:32:57.640
<v Speaker 4>I'm hoping I'm pronouncing that close to right Typhomirium, of

0:32:57.680 --> 0:33:00.880
<v Speaker 4>which there are like Typhomyrium A and B, Like, there's

0:33:01.000 --> 0:33:02.640
<v Speaker 4>multiple kind of typhomeriums.

0:33:02.760 --> 0:33:04.920
<v Speaker 3>Of course, Newport.

0:33:05.160 --> 0:33:10.040
<v Speaker 4>Javiana or Javiana and Infantis. Those are kind of some

0:33:10.160 --> 0:33:11.000
<v Speaker 4>of the top five.

0:33:11.880 --> 0:33:14.040
<v Speaker 2>There's also a Kentucky one that I saw.

0:33:14.200 --> 0:33:17.360
<v Speaker 3>There is a Kentucky one. Yeah place name you know,

0:33:17.640 --> 0:33:17.960
<v Speaker 3>love it.

0:33:19.000 --> 0:33:22.000
<v Speaker 4>There are there are so many serovars, and in general

0:33:22.200 --> 0:33:25.840
<v Speaker 4>they do have different pathogenicity. So all of the different

0:33:25.880 --> 0:33:29.560
<v Speaker 4>seravars that cause disease in humans and other animals have

0:33:29.760 --> 0:33:34.360
<v Speaker 4>some similar like virulence factors that tend to be clustered

0:33:34.440 --> 0:33:38.200
<v Speaker 4>on what are often called these like pathogenicity islands, which

0:33:38.200 --> 0:33:41.240
<v Speaker 4>I think is a hilarious term, but it basically is

0:33:41.360 --> 0:33:43.920
<v Speaker 4>just in their genome. They have these little clusters of

0:33:43.960 --> 0:33:47.600
<v Speaker 4>genes that encode a number of different things like flagella

0:33:47.960 --> 0:33:51.640
<v Speaker 4>and capsules and like type three transport systems that like

0:33:51.880 --> 0:33:55.160
<v Speaker 4>blah blah blah help them to infect us. But there

0:33:55.200 --> 0:33:58.400
<v Speaker 4>are also a number of different plasmids that they have

0:33:59.000 --> 0:34:01.840
<v Speaker 4>that encode not all the other virulence factors that might

0:34:01.840 --> 0:34:05.160
<v Speaker 4>make them more likely to say, be able to infect

0:34:05.480 --> 0:34:11.319
<v Speaker 4>a bird or your bearded dragon or your frog and

0:34:11.480 --> 0:34:14.080
<v Speaker 4>other ones that might make it easier to infect humans.

0:34:14.880 --> 0:34:17.560
<v Speaker 4>But also a lot of these plasmids are what end

0:34:17.640 --> 0:34:21.800
<v Speaker 4>up conferring antibiotic resistance, which of course is a huge

0:34:21.960 --> 0:34:24.400
<v Speaker 4>problem when it comes to salmonella. And I'll talk a

0:34:24.400 --> 0:34:26.440
<v Speaker 4>lot more about it at the end of this episode,

0:34:27.120 --> 0:34:32.840
<v Speaker 4>but that's kind of the like what happens next, because

0:34:32.960 --> 0:34:37.600
<v Speaker 4>even though we don't use antibiotics to treat all human infections,

0:34:38.320 --> 0:34:41.759
<v Speaker 4>you have to have antibiotics that work to be able

0:34:41.800 --> 0:34:43.200
<v Speaker 4>to treat this of your infections.

0:34:44.560 --> 0:34:47.400
<v Speaker 2>Yeah, yep, but how Yeah.

0:34:47.960 --> 0:34:50.399
<v Speaker 4>So Aaron, can you tell me a little bit about

0:34:50.400 --> 0:34:50.880
<v Speaker 4>this bug?

0:34:51.560 --> 0:34:55.160
<v Speaker 2>I can. Let's take a quick break and then we'll

0:34:55.200 --> 0:35:29.040
<v Speaker 2>get started on that. You know, like we've talked about

0:35:29.680 --> 0:35:34.000
<v Speaker 2>we've covered salmonola before in the context of typhoid, and

0:35:34.200 --> 0:35:35.799
<v Speaker 2>even though that was I feel like that was a

0:35:35.800 --> 0:35:39.240
<v Speaker 2>pretty big episode and we covered a lot of ground

0:35:39.280 --> 0:35:43.360
<v Speaker 2>in that there really isn't that much overlap between that

0:35:43.560 --> 0:35:46.680
<v Speaker 2>history and the history of general salmonella food poisoning, or

0:35:46.719 --> 0:35:49.120
<v Speaker 2>at least like in terms of what I decided to

0:35:49.160 --> 0:35:52.879
<v Speaker 2>talk about today. And I have to say that I'm

0:35:53.239 --> 0:35:56.080
<v Speaker 2>really excited about it because it is I think such

0:35:56.120 --> 0:35:59.800
<v Speaker 2>a fascinating look into how food preparation and can some

0:36:00.400 --> 0:36:03.080
<v Speaker 2>has changed over the past one hundred years or so,

0:36:03.560 --> 0:36:06.600
<v Speaker 2>and how food poisoning kind of grew as a concept

0:36:06.719 --> 0:36:10.240
<v Speaker 2>during that time. But the thing that I'm most thrilled

0:36:10.280 --> 0:36:13.640
<v Speaker 2>to talk about is how salmonella was involved in the

0:36:13.640 --> 0:36:16.320
<v Speaker 2>first act of bioterrorism in the US.

0:36:16.800 --> 0:36:17.640
<v Speaker 3>Stop it what?

0:36:18.160 --> 0:36:20.919
<v Speaker 2>Yeah? I am Oh, I'm so glad. I'm so glad

0:36:20.960 --> 0:36:22.719
<v Speaker 2>you don't know anything about this, because I know.

0:36:22.840 --> 0:36:24.839
<v Speaker 3>Fun thing about anything, Aaron, I love it.

0:36:25.000 --> 0:36:28.640
<v Speaker 2>Okay, So let's get let's get started. So in terms

0:36:28.680 --> 0:36:32.640
<v Speaker 2>of evolutionary history stuff, the salmonella group that has been

0:36:32.680 --> 0:36:37.320
<v Speaker 2>linked to food poisoning, like we talked about, is incredibly diverse,

0:36:37.640 --> 0:36:42.400
<v Speaker 2>and the number of serovars and all of that is

0:36:42.520 --> 0:36:44.279
<v Speaker 2>just it's it's I'm not going to go into the

0:36:44.280 --> 0:36:48.360
<v Speaker 2>details about the origins of this or that seravar because

0:36:48.400 --> 0:36:51.000
<v Speaker 2>it's there's just too much ground to cover. But I

0:36:51.040 --> 0:36:55.319
<v Speaker 2>will say that understanding the evolutionary origins of certain serovars

0:36:55.520 --> 0:36:58.560
<v Speaker 2>that are associated with food poisoning and which types of

0:36:58.560 --> 0:37:03.759
<v Speaker 2>food poisoning, that's incredibly important in preventing outbreaks because that

0:37:03.880 --> 0:37:09.320
<v Speaker 2>knowledge can influence control strategies for instance, if one seravar

0:37:09.560 --> 0:37:13.160
<v Speaker 2>is only present in the guts of diseased animals, animals

0:37:13.160 --> 0:37:16.399
<v Speaker 2>that are actively showing that they are diseased, you might

0:37:16.480 --> 0:37:18.920
<v Speaker 2>use a different strategy than if a seravar was a

0:37:19.040 --> 0:37:22.320
<v Speaker 2>natural commensal of the guts of like all cows or

0:37:22.360 --> 0:37:25.680
<v Speaker 2>all pigs or something like that. And it can also

0:37:25.800 --> 0:37:29.879
<v Speaker 2>help with identifying the source of contamination. So if you're

0:37:29.880 --> 0:37:32.919
<v Speaker 2>dealing with the diseased animal only seravar and you find

0:37:32.960 --> 0:37:35.520
<v Speaker 2>it in a bunch of meat, that could point towards

0:37:35.560 --> 0:37:38.759
<v Speaker 2>fecal contamination in the meat processing aspect of it, which

0:37:38.800 --> 0:37:43.880
<v Speaker 2>is like really bad, And I mean really in a

0:37:43.960 --> 0:37:46.400
<v Speaker 2>sense finding someone else in any part of like an

0:37:46.400 --> 0:37:50.160
<v Speaker 2>animal product is bad. But I also think that like

0:37:50.480 --> 0:37:53.560
<v Speaker 2>it might be dependent upon the seravar when you're like, oh,

0:37:53.560 --> 0:37:56.040
<v Speaker 2>that is really alarming. How did it get all over here?

0:37:56.120 --> 0:37:58.560
<v Speaker 2>Whereas there might be ones that you more commonly see.

0:37:58.800 --> 0:38:02.840
<v Speaker 4>Yeah, and especially because there are ones that infect different animals.

0:38:02.840 --> 0:38:05.640
<v Speaker 4>So if you have one that's more common in chickens

0:38:05.640 --> 0:38:08.680
<v Speaker 4>and it's all over your beef, right, how.

0:38:08.640 --> 0:38:09.160
<v Speaker 3>Did you get there?

0:38:09.320 --> 0:38:14.840
<v Speaker 2>What happened here? Yeah? Yeah, Okay, So salmonella food poisoning

0:38:15.200 --> 0:38:19.600
<v Speaker 2>seems kind of ubiquitous nowadays, and probably most people either

0:38:19.680 --> 0:38:22.520
<v Speaker 2>know someone who has had it or has had it themselves.

0:38:23.640 --> 0:38:28.839
<v Speaker 2>But has it always been this ubiquitous food poisoning presence, right,

0:38:29.560 --> 0:38:33.879
<v Speaker 2>I mean probably. It seems kind of tricky to get

0:38:34.000 --> 0:38:37.640
<v Speaker 2>estimates of the timing of when salmonella started infecting people

0:38:37.680 --> 0:38:42.000
<v Speaker 2>based on like molecular clock info, but people have probably

0:38:42.040 --> 0:38:46.400
<v Speaker 2>been getting sick with salmonella and other food born pathogens forever.

0:38:47.239 --> 0:38:50.360
<v Speaker 2>And I think that this probably ramped up somewhat with

0:38:50.440 --> 0:38:55.560
<v Speaker 2>the agricultural revolution. But even though the widespread practice of

0:38:55.719 --> 0:39:00.640
<v Speaker 2>keeping livestock would have increased exposure to salmonella, the big

0:39:00.680 --> 0:39:06.480
<v Speaker 2>outbreaks that we see today were still ways away. Unlike

0:39:06.520 --> 0:39:09.440
<v Speaker 2>in the typhoid episode where I talked about the plague

0:39:09.480 --> 0:39:12.760
<v Speaker 2>of Athens and the four hundreds BCE and the impact

0:39:12.760 --> 0:39:15.319
<v Speaker 2>of typhoid on the residents of Jamestown in like the

0:39:15.360 --> 0:39:20.480
<v Speaker 2>sixteen hundreds. For more general salmonella food poisoning, I'm going

0:39:20.560 --> 0:39:23.360
<v Speaker 2>to jump ahead to the mid to late eighteen hundreds,

0:39:23.560 --> 0:39:26.439
<v Speaker 2>so around the time germ theory was more or less

0:39:26.560 --> 0:39:31.399
<v Speaker 2>established as a thing. By this point in history, people had,

0:39:31.440 --> 0:39:35.240
<v Speaker 2>of course, you know, long recognized for hundreds of years

0:39:35.719 --> 0:39:38.920
<v Speaker 2>that foods could make you sick with fever or diarrhea

0:39:39.000 --> 0:39:43.040
<v Speaker 2>or vomiting, but before germ theory, it seemed to generally

0:39:43.040 --> 0:39:47.280
<v Speaker 2>be ascribed to chemical changes in the food as it decomposed,

0:39:47.880 --> 0:39:52.680
<v Speaker 2>or like some element of rotting food. Specifically, it was

0:39:52.719 --> 0:39:55.920
<v Speaker 2>around the early eighteen eighties that people began to realize

0:39:55.960 --> 0:40:01.400
<v Speaker 2>that food could look perfectly fine and unspoiled and smell fine,

0:40:01.680 --> 0:40:05.160
<v Speaker 2>but could contain microbes that would make you sick if

0:40:05.320 --> 0:40:09.960
<v Speaker 2>you ate it, and one or rather many, I guess

0:40:10.000 --> 0:40:14.520
<v Speaker 2>of those microbes happened to be salmonella. In eighteen eighty five,

0:40:14.719 --> 0:40:19.759
<v Speaker 2>researchers Daniel Salmon or Salmon I don't know, because I'm

0:40:19.760 --> 0:40:24.400
<v Speaker 2>realizing that we say salmonella, but not sam you know. Anyway,

0:40:24.520 --> 0:40:28.759
<v Speaker 2>Daniel Salmon and Theobald Smith were the first to identify

0:40:29.040 --> 0:40:33.800
<v Speaker 2>salmonella causing salmonellosis in pigs that were sick with hog cholera,

0:40:34.560 --> 0:40:36.920
<v Speaker 2>and they thought that this microbe that they had found

0:40:36.960 --> 0:40:40.880
<v Speaker 2>was responsible for hog cholera, which it wasn't, but they

0:40:40.960 --> 0:40:45.640
<v Speaker 2>named it hog Colera bacillus. In nineteen hundred, it and

0:40:45.760 --> 0:40:49.680
<v Speaker 2>several other microbes were reclassified and renamed salmonella in order

0:40:49.719 --> 0:40:55.640
<v Speaker 2>of salmon. But even though this taxonomy was a complete mess,

0:40:56.000 --> 0:40:58.840
<v Speaker 2>the important thing was that there was now a name

0:40:59.160 --> 0:41:02.319
<v Speaker 2>for these cases of food poisoning, and it also kind

0:41:02.320 --> 0:41:07.360
<v Speaker 2>of provided the ability to trace its source via microbiological techniques.

0:41:08.560 --> 0:41:12.680
<v Speaker 2>Pretty soon after the first identification of salmonella in those

0:41:12.760 --> 0:41:16.040
<v Speaker 2>pigs in the eighteen eighties, people began finding the bacteria

0:41:16.080 --> 0:41:21.640
<v Speaker 2>in many different foods, especially pork, chicken, beef, and milk,

0:41:22.200 --> 0:41:26.080
<v Speaker 2>and also in people who fell ill after eating those foods.

0:41:26.160 --> 0:41:30.640
<v Speaker 2>Right like making the link between food and illness, and

0:41:30.719 --> 0:41:33.400
<v Speaker 2>this period marks a huge turning point in the history

0:41:33.400 --> 0:41:37.400
<v Speaker 2>of food safety, not just because salmonella had been identified,

0:41:37.680 --> 0:41:40.000
<v Speaker 2>but also because it represents a shift in the way

0:41:40.040 --> 0:41:44.200
<v Speaker 2>that people viewed foods that made you sick. So previously

0:41:44.280 --> 0:41:48.280
<v Speaker 2>it had been specific foods themselves. Oh, this one is spoiled,

0:41:48.360 --> 0:41:51.839
<v Speaker 2>this one has undergone a chemical change. But the recognition

0:41:51.920 --> 0:41:56.040
<v Speaker 2>of salmonella and other microbes as directly causing those illnesses

0:41:56.400 --> 0:41:59.920
<v Speaker 2>meant that any food could be contaminated without appearing to be,

0:42:01.160 --> 0:42:06.720
<v Speaker 2>and more optimistically, that those sources of contamination could mostly

0:42:06.800 --> 0:42:11.279
<v Speaker 2>be eliminated through the way you handled the food. You know,

0:42:11.560 --> 0:42:16.200
<v Speaker 2>you could kill the bacteria through methods of cooking or preparation,

0:42:16.800 --> 0:42:23.520
<v Speaker 2>especially heat. Food poisoning as a general term, like the

0:42:23.600 --> 0:42:26.880
<v Speaker 2>term itself, came into use around this time, which I

0:42:26.880 --> 0:42:29.320
<v Speaker 2>think is so interesting because it kind of represents this

0:42:29.480 --> 0:42:33.960
<v Speaker 2>shift in thinking about microbes spoiling food rather than food

0:42:34.080 --> 0:42:35.720
<v Speaker 2>just being spoiled on its own.

0:42:36.360 --> 0:42:36.920
<v Speaker 6>Yeah.

0:42:36.960 --> 0:42:38.280
<v Speaker 3>I never thought about that.

0:42:38.440 --> 0:42:41.440
<v Speaker 2>Yeah, And I think this whole period also called for

0:42:41.640 --> 0:42:46.560
<v Speaker 2>an infrastructure change in regulation of food safety, especially through testing, notification,

0:42:46.680 --> 0:42:51.400
<v Speaker 2>and better food handling practices. But that was still a

0:42:51.600 --> 0:42:54.680
<v Speaker 2>long way away, and there was a lot left to

0:42:54.719 --> 0:42:59.640
<v Speaker 2>be desired, because as the global population continued to grow,

0:43:00.080 --> 0:43:03.920
<v Speaker 2>people continued to leave the rural countrysides for cities. The

0:43:03.960 --> 0:43:08.520
<v Speaker 2>way that people interacted with food increasingly changed. Food was

0:43:08.560 --> 0:43:13.840
<v Speaker 2>traveling larger distances, refrigeration wasn't really necessarily a thing yet,

0:43:14.760 --> 0:43:20.640
<v Speaker 2>and hand hygiene was far from universally practiced. As these

0:43:20.719 --> 0:43:23.560
<v Speaker 2>things were going on, the rate of food poisoning just

0:43:23.760 --> 0:43:28.160
<v Speaker 2>continued to increase, Right Like, our knowledge of this group

0:43:28.239 --> 0:43:31.399
<v Speaker 2>of bacteria way outpaced our ability to do anything about it.

0:43:32.640 --> 0:43:35.719
<v Speaker 2>But it wasn't really until the first few decades of

0:43:35.760 --> 0:43:38.640
<v Speaker 2>the twentieth century that people began to realize the true

0:43:38.680 --> 0:43:43.319
<v Speaker 2>extent of just how prevalent these pathogens were, and that's

0:43:43.360 --> 0:43:48.200
<v Speaker 2>simply because people weren't monitoring food borne illnesses. The primary

0:43:48.280 --> 0:43:51.479
<v Speaker 2>salmonella related focus throughout the late eighteen hundreds and early

0:43:51.560 --> 0:43:54.600
<v Speaker 2>nineteen hundreds was typhoid, and so a lot of the

0:43:54.680 --> 0:43:59.480
<v Speaker 2>efforts were centered more on improving water quality and identifying

0:43:59.520 --> 0:44:02.960
<v Speaker 2>human care of the disease, as we well remember from

0:44:03.080 --> 0:44:07.480
<v Speaker 2>our typhoid episode, But salmonellosis kind of was just like

0:44:07.719 --> 0:44:12.640
<v Speaker 2>waiting for its moment to shine. In the first few

0:44:12.680 --> 0:44:15.560
<v Speaker 2>decades of the twentieth century, salmonella seemed to be on

0:44:15.640 --> 0:44:17.879
<v Speaker 2>the rise, and this was shown to be the case

0:44:17.920 --> 0:44:20.759
<v Speaker 2>by the nineteen thirties or the nineteen forties, which is

0:44:20.800 --> 0:44:24.200
<v Speaker 2>around the time that several countries had adopted food borne

0:44:24.200 --> 0:44:29.680
<v Speaker 2>illness reporting systems. What these early reporting systems were finding

0:44:29.880 --> 0:44:34.200
<v Speaker 2>was more and more salmonella. But was there an actual

0:44:34.239 --> 0:44:38.120
<v Speaker 2>increase always an important question to ask, and it seems

0:44:38.160 --> 0:44:42.320
<v Speaker 2>to be somewhat debated because screening tools weren't the greatest,

0:44:42.640 --> 0:44:45.480
<v Speaker 2>although they did improve the nineteen thirties and the nineteen forties,

0:44:45.520 --> 0:44:49.120
<v Speaker 2>when phage typing began to be used to distinguish among

0:44:49.280 --> 0:44:53.359
<v Speaker 2>salmonella seravars, and so it's possible that one big part

0:44:53.400 --> 0:44:56.600
<v Speaker 2>of the apparent increase in cases was due to improvements

0:44:56.600 --> 0:45:00.759
<v Speaker 2>in screening or our increased ability to trace outbreaks, or

0:45:00.800 --> 0:45:04.160
<v Speaker 2>even that more mild illnesses like food born illnesses were

0:45:04.200 --> 0:45:07.520
<v Speaker 2>finally coming into view as more deadly diseases were being

0:45:07.600 --> 0:45:12.200
<v Speaker 2>treated or vaccinated against. But I also feel like it's

0:45:12.239 --> 0:45:15.480
<v Speaker 2>hard to chalk all of the increase up to just

0:45:15.719 --> 0:45:19.600
<v Speaker 2>those things, because, like I mentioned earlier, the way people

0:45:19.640 --> 0:45:23.799
<v Speaker 2>were handling food and eating food was changing, especially during

0:45:23.800 --> 0:45:27.080
<v Speaker 2>World War Two and the years immediately after. So during

0:45:27.120 --> 0:45:30.520
<v Speaker 2>World War two we saw a huge rise in communal

0:45:30.520 --> 0:45:33.960
<v Speaker 2>feeding spots. Large numbers of people were being fed in

0:45:34.040 --> 0:45:37.960
<v Speaker 2>canteens and cafeterias, and so there was a greater potential

0:45:38.040 --> 0:45:43.719
<v Speaker 2>for larger outbreaks rather than sporadic cases. And this communal

0:45:43.760 --> 0:45:47.560
<v Speaker 2>feeding and rationing also led to people reheating food more often,

0:45:47.960 --> 0:45:52.239
<v Speaker 2>which when done improperly, can of course lead to food poisoning.

0:45:53.120 --> 0:45:56.120
<v Speaker 2>So there were more opportunities for a larger number of

0:45:56.160 --> 0:46:00.239
<v Speaker 2>people to get sick if the salmonella was there. But

0:46:00.440 --> 0:46:05.640
<v Speaker 2>was salmonella itself growing in its presence or prevalence, and

0:46:05.680 --> 0:46:08.440
<v Speaker 2>that also seems likely so let's consider things from the

0:46:08.480 --> 0:46:12.279
<v Speaker 2>food production side, especially in the scaling up and the

0:46:12.320 --> 0:46:15.279
<v Speaker 2>industrialization of many food products.

0:46:15.840 --> 0:46:16.480
<v Speaker 3>That's the key.

0:46:17.120 --> 0:46:20.960
<v Speaker 2>It is the key. So whereas previously people would mostly

0:46:20.960 --> 0:46:24.719
<v Speaker 2>consume food that had been grown or produced in their

0:46:24.920 --> 0:46:29.640
<v Speaker 2>near vicinity, like even just within a town or city,

0:46:29.920 --> 0:46:33.480
<v Speaker 2>the growth of cities and a demand for more food

0:46:33.560 --> 0:46:37.160
<v Speaker 2>and a greater variety of food meant that every step

0:46:37.360 --> 0:46:41.680
<v Speaker 2>along the way in food production, the operation had to expand,

0:46:41.719 --> 0:46:44.280
<v Speaker 2>it had to grow larger, and it had to become

0:46:44.400 --> 0:46:48.759
<v Speaker 2>more like specialized in a way. Right in the years

0:46:48.760 --> 0:46:53.560
<v Speaker 2>after World War Two, especially when wartime rationing restrictions were lifted,

0:46:54.360 --> 0:46:59.040
<v Speaker 2>meat consumption increased in a big way, and to keep

0:46:59.120 --> 0:47:04.040
<v Speaker 2>up with that, arming expanded and intensified. Small chicken ranches

0:47:04.160 --> 0:47:07.920
<v Speaker 2>or dairy farms grew into or were largely replaced by

0:47:08.080 --> 0:47:13.840
<v Speaker 2>huge industrial operations, and with bigger populations of livestock, salmonella

0:47:13.880 --> 0:47:18.040
<v Speaker 2>could spread more easily and infect more animals, and it

0:47:18.080 --> 0:47:23.080
<v Speaker 2>would become much more difficult to control or identify. Not

0:47:23.160 --> 0:47:26.399
<v Speaker 2>to mention that around the same time post World War

0:47:26.440 --> 0:47:31.520
<v Speaker 2>two is when widespread antibiotic use started to come into play,

0:47:32.520 --> 0:47:38.360
<v Speaker 2>and antibiotic resistance was not far behind, and that also

0:47:38.560 --> 0:47:41.600
<v Speaker 2>grew and grew and grew and grew, and to be honest,

0:47:41.640 --> 0:47:44.520
<v Speaker 2>it's one of the most terrifying parts of this whole

0:47:44.560 --> 0:47:47.000
<v Speaker 2>story that like, that's all I'm going to mention about it.

0:47:47.480 --> 0:47:51.840
<v Speaker 4>Yeah, but listen to our antibiotic resistance episode from season

0:47:52.600 --> 0:47:55.080
<v Speaker 4>three for more three.

0:47:55.239 --> 0:47:56.439
<v Speaker 3>Yeah, yeah, season three.

0:47:57.360 --> 0:48:01.840
<v Speaker 2>But another place where contamination came increasingly likely to occur

0:48:02.000 --> 0:48:04.960
<v Speaker 2>again thinking about sort of this chain of food production

0:48:05.719 --> 0:48:10.800
<v Speaker 2>is in slaughterhouses. Yeah, So slaughtering shifted from being mostly

0:48:10.920 --> 0:48:13.840
<v Speaker 2>at or near the farms where these animals were raised

0:48:14.320 --> 0:48:17.960
<v Speaker 2>to happening farther away because like, oh, you needed to

0:48:18.000 --> 0:48:20.480
<v Speaker 2>have more equipment to process more animals, You need to

0:48:20.480 --> 0:48:22.960
<v Speaker 2>have more specific equipment, Like it was difficult to have

0:48:23.760 --> 0:48:26.000
<v Speaker 2>to be a jack of all trades as a farmer

0:48:26.080 --> 0:48:28.319
<v Speaker 2>and do and make a living the way you used

0:48:28.360 --> 0:48:31.600
<v Speaker 2>to like it, just it became less and less feasible,

0:48:32.800 --> 0:48:35.399
<v Speaker 2>and so slaughtering began to be done mostly at these

0:48:35.719 --> 0:48:41.360
<v Speaker 2>large slaughterhouses that processed many different types of meats in

0:48:41.480 --> 0:48:46.920
<v Speaker 2>many different ways. So you can see how literally every

0:48:47.120 --> 0:48:51.839
<v Speaker 2>step along the way of food production or preparation or

0:48:51.880 --> 0:48:57.719
<v Speaker 2>consumption increased the potential for salmonella to spread, and in

0:48:57.760 --> 0:49:01.719
<v Speaker 2>some cases these chain just in practices led to some

0:49:02.200 --> 0:49:05.960
<v Speaker 2>increase in virulence or difficulty in treating, like we talked

0:49:06.000 --> 0:49:10.759
<v Speaker 2>about with antibiotic resistance. And also it's important to point out,

0:49:10.840 --> 0:49:14.279
<v Speaker 2>as I'm sure you will later on, that salmonella was

0:49:14.320 --> 0:49:18.160
<v Speaker 2>not and is not limited to just the pork or

0:49:18.200 --> 0:49:23.879
<v Speaker 2>poultry or beef industries. It's everywhere. It's everywhere, and an

0:49:23.960 --> 0:49:27.600
<v Speaker 2>increase in salmonella in one area frequently leads to an

0:49:27.640 --> 0:49:33.360
<v Speaker 2>increase in salmonella in all areas. The mid twentieth century

0:49:33.400 --> 0:49:37.440
<v Speaker 2>did see several new regulations put into place, and testing

0:49:37.480 --> 0:49:42.160
<v Speaker 2>had also become more refined, but the cat was out

0:49:42.160 --> 0:49:47.240
<v Speaker 2>of the bag. Sporadic cases or outbreaks of salmonellosis had

0:49:47.360 --> 0:49:51.480
<v Speaker 2>just become kind of like almost a regular thing. Wasn't

0:49:51.520 --> 0:49:57.960
<v Speaker 2>that unexpected? So in September of nineteen eighty four, when

0:49:58.040 --> 0:50:03.360
<v Speaker 2>residents of a small community in or began experiencing painful

0:50:03.400 --> 0:50:09.800
<v Speaker 2>stomach cramps, diarrhea, nausea, fever, fatigue after eating at several

0:50:09.840 --> 0:50:15.600
<v Speaker 2>restaurants in the area, local public health officials suspected salmonella

0:50:15.640 --> 0:50:20.240
<v Speaker 2>was to blame naturally, and it was samples from several

0:50:20.280 --> 0:50:22.720
<v Speaker 2>people who had sought care at hospitals in the area

0:50:23.320 --> 0:50:28.440
<v Speaker 2>confirmed the presence of Salmonella typhomerium, which is, like you said,

0:50:28.480 --> 0:50:32.640
<v Speaker 2>one of the most common causes of salmonilosis associated with

0:50:32.680 --> 0:50:37.040
<v Speaker 2>the consumption of like contaminated animal products. So by the

0:50:37.120 --> 0:50:40.320
<v Speaker 2>end of that first week of cases, thirteen of twenty

0:50:40.320 --> 0:50:44.080
<v Speaker 2>eight employees at Shakey's Pizza, one of the restaurants suspected

0:50:44.080 --> 0:50:46.760
<v Speaker 2>to be a source, had come down with food poisoning,

0:50:46.960 --> 0:50:50.360
<v Speaker 2>and dozens of customers had called the restaurant complaining that

0:50:50.400 --> 0:50:53.839
<v Speaker 2>they had gotten sick after eating there, and that wasn't

0:50:53.840 --> 0:50:57.759
<v Speaker 2>the only restaurant affected. By the time the outbreak was

0:50:57.880 --> 0:51:02.040
<v Speaker 2>over at the end of September, nearly one thousand people

0:51:02.120 --> 0:51:05.680
<v Speaker 2>had reported symptoms of food poisoning and seven hundred and

0:51:05.680 --> 0:51:11.320
<v Speaker 2>fifty one cases of salmonella had been confirmed. That's a lot,

0:51:11.680 --> 0:51:15.480
<v Speaker 2>it's a lot. It was and I think remains the

0:51:15.680 --> 0:51:21.680
<v Speaker 2>largest outbreak in Oregon's history. But fortunately this samanela did

0:51:21.760 --> 0:51:25.400
<v Speaker 2>seem to resolve for a lot of people pretty like

0:51:25.560 --> 0:51:29.279
<v Speaker 2>easily or pretty well, or was treatable with antibiotics. But

0:51:29.600 --> 0:51:33.440
<v Speaker 2>people had missed work, they had these large medical bills,

0:51:33.640 --> 0:51:36.640
<v Speaker 2>and their bodies had obviously been put through the ringer

0:51:36.840 --> 0:51:41.600
<v Speaker 2>with this illness, and they were left with questions, what happened?

0:51:42.040 --> 0:51:43.160
<v Speaker 2>Where did this come from?

0:51:43.640 --> 0:51:43.879
<v Speaker 1>Why?

0:51:44.000 --> 0:51:44.080
<v Speaker 5>Me?

0:51:45.600 --> 0:51:47.959
<v Speaker 2>The big guns were called in to help the local

0:51:48.000 --> 0:51:51.360
<v Speaker 2>public health department trace the source of the outbreak, and

0:51:51.800 --> 0:51:56.440
<v Speaker 2>ES officers from the CDC arrived later that month and

0:51:56.480 --> 0:52:00.720
<v Speaker 2>they went around interviewing hundreds of patients and their families

0:52:00.760 --> 0:52:03.680
<v Speaker 2>about what they had eaten, where and when. And also

0:52:03.800 --> 0:52:07.160
<v Speaker 2>they went to every restaurant in the area, testing food

0:52:07.600 --> 0:52:12.400
<v Speaker 2>surfaces and employees for trace of salmonilla. They evaluated thermometers

0:52:12.400 --> 0:52:17.600
<v Speaker 2>and ovens for any inconsistencies or faults. They tested cows, milk,

0:52:17.680 --> 0:52:21.799
<v Speaker 2>septic tank, city water, pond, water, produce, literally everything they

0:52:21.800 --> 0:52:25.720
<v Speaker 2>could think of for salmonilla, expecting to find a common

0:52:25.800 --> 0:52:30.520
<v Speaker 2>source linking all of these cases. The fact that the

0:52:30.520 --> 0:52:34.440
<v Speaker 2>outbreak seemed tied to many different restaurants pointed towards a

0:52:34.480 --> 0:52:37.480
<v Speaker 2>particular food item that was served at all of them,

0:52:37.840 --> 0:52:40.600
<v Speaker 2>but they couldn't pinpoint it. They couldn't find it. There

0:52:40.640 --> 0:52:44.439
<v Speaker 2>was no single factor linking all of these cases. Which

0:52:44.480 --> 0:52:46.960
<v Speaker 2>isn't to say that they didn't find salmonella, because they

0:52:47.000 --> 0:52:49.840
<v Speaker 2>did find it in a few places, like in the

0:52:49.920 --> 0:52:53.520
<v Speaker 2>coffee creamer at one restaurant, and in the blue cheese

0:52:53.600 --> 0:52:57.960
<v Speaker 2>dressing in another, but those items weren't eaten by everyone

0:52:58.040 --> 0:53:00.880
<v Speaker 2>who had gotten sick, and the blue She's dressing was

0:53:00.920 --> 0:53:05.160
<v Speaker 2>contaminated during its preparation, not like before it got to

0:53:05.200 --> 0:53:09.120
<v Speaker 2>the restaurant, which pointed towards a human source, but no

0:53:09.200 --> 0:53:13.279
<v Speaker 2>one person worked at all of the restaurants. As the

0:53:13.280 --> 0:53:17.319
<v Speaker 2>investigation went on, cases dwindled and leads dried up, and

0:53:17.360 --> 0:53:21.279
<v Speaker 2>the CDC was left with the unsatisfying conclusion that the

0:53:21.320 --> 0:53:25.839
<v Speaker 2>outbreak was I don't know, likely caused by employees at

0:53:25.840 --> 0:53:28.680
<v Speaker 2>these different restaurants, and you know a lot of them

0:53:29.200 --> 0:53:33.520
<v Speaker 2>lived together or roommates, and so maybe that's what happened.

0:53:34.760 --> 0:53:38.960
<v Speaker 2>And you know, that's kind of how it goes sometimes

0:53:39.040 --> 0:53:43.799
<v Speaker 2>with food poisoning outbreaks. There's no neat answer. But the

0:53:43.840 --> 0:53:47.920
<v Speaker 2>people of Wasco County, Oregon would get their neat answer.

0:53:48.840 --> 0:53:51.040
<v Speaker 2>They just had to wait about a year for it.

0:53:51.360 --> 0:53:53.000
<v Speaker 3>Oh my god, I'm loving this.

0:53:54.360 --> 0:53:57.000
<v Speaker 2>And when they got it, it was not the answer

0:53:57.320 --> 0:54:00.520
<v Speaker 2>that they were expecting, although at least a few people

0:54:00.640 --> 0:54:05.279
<v Speaker 2>had had their suspicions all along. The reason that the

0:54:05.320 --> 0:54:09.160
<v Speaker 2>food poisoning investigation had such a hard time linking all

0:54:09.200 --> 0:54:12.800
<v Speaker 2>the cases to one food or one person was because

0:54:12.800 --> 0:54:18.240
<v Speaker 2>it was actually many foods poisoned by many people, people

0:54:18.280 --> 0:54:24.640
<v Speaker 2>belonging to the Rajni SI some say movement, some say cult.

0:54:25.719 --> 0:54:29.160
<v Speaker 2>So there was one common source for the salmonella cases

0:54:29.719 --> 0:54:33.239
<v Speaker 2>all along, but the CDC investigators did not expect it

0:54:33.320 --> 0:54:39.080
<v Speaker 2>to be intentional poisoning by a cult. Okay, so what why?

0:54:39.239 --> 0:54:39.279
<v Speaker 1>What?

0:54:39.640 --> 0:54:40.360
<v Speaker 2>What's happening?

0:54:40.600 --> 0:54:43.960
<v Speaker 3>What? I'm sorry, this is a cult podcast now.

0:54:44.239 --> 0:54:44.480
<v Speaker 1>I know.

0:54:44.640 --> 0:54:48.359
<v Speaker 2>I know. Let's get into it, okay, And this is why.

0:54:48.440 --> 0:54:50.759
<v Speaker 2>So this is why I asked you whether you had

0:54:50.800 --> 0:54:55.399
<v Speaker 2>seen Wild Wild Country, that documentary series. Oh no, heaven,

0:54:55.960 --> 0:54:59.319
<v Speaker 2>it's so interesting. And everyone who's listening and hasn't seen

0:54:59.360 --> 0:55:02.680
<v Speaker 2>it yet go check it out. And everyone who has

0:55:02.760 --> 0:55:04.759
<v Speaker 2>already seen it, and I suspect a great number of

0:55:04.760 --> 0:55:08.320
<v Speaker 2>you out there have already seen it, watch it again

0:55:08.480 --> 0:55:10.920
<v Speaker 2>or you know, like this is just a refresher, So

0:55:11.719 --> 0:55:13.359
<v Speaker 2>I don't know, I hope you enjoy it.

0:55:14.200 --> 0:55:14.960
<v Speaker 3>I'm excited.

0:55:15.880 --> 0:55:19.319
<v Speaker 2>Okay, So to get into the what and the why

0:55:19.400 --> 0:55:23.520
<v Speaker 2>and the how of this massive salmonella poisoning, which this

0:55:23.680 --> 0:55:26.680
<v Speaker 2>is the like I said, the first bioterrorism attack in

0:55:26.719 --> 0:55:29.680
<v Speaker 2>the US. We have to go back to around nineteen

0:55:29.719 --> 0:55:32.960
<v Speaker 2>eighty one. That year, a group of people from this

0:55:33.120 --> 0:55:38.759
<v Speaker 2>religious movement, including its founder, Bagwan Shri Rajdish, moved to

0:55:38.840 --> 0:55:42.240
<v Speaker 2>Wasco County, Oregon, which is about ninety or so miles

0:55:42.280 --> 0:55:46.960
<v Speaker 2>east of Portland, to a sixty four thousand acre ranch

0:55:47.120 --> 0:55:51.360
<v Speaker 2>they had purchased. The group had left Puna, India for

0:55:51.480 --> 0:55:55.360
<v Speaker 2>Oregon after a lot of political pressure and reports suggesting

0:55:55.360 --> 0:55:58.359
<v Speaker 2>that the cult was basically a money making scheme which

0:55:58.400 --> 0:56:02.239
<v Speaker 2>exploited not only it's wealthy members but also did other

0:56:02.680 --> 0:56:05.399
<v Speaker 2>illegal things to make money. I don't know if it's

0:56:05.400 --> 0:56:08.319
<v Speaker 2>been confirmed or not, but they wanted out and they

0:56:08.320 --> 0:56:10.560
<v Speaker 2>wanted to establish.

0:56:10.080 --> 0:56:11.840
<v Speaker 3>A utopia elsewhere.

0:56:13.200 --> 0:56:16.880
<v Speaker 2>Ma Anan Sheila, the personal secretary and right hand woman

0:56:17.000 --> 0:56:20.480
<v Speaker 2>of the cult's leader, Rajniche, was charged with finding a

0:56:20.520 --> 0:56:25.160
<v Speaker 2>place where they could build this utopia where the followers,

0:56:25.200 --> 0:56:30.880
<v Speaker 2>known as Sanyasen's or Rajni She's could freely practice Rajnish's teachings,

0:56:31.160 --> 0:56:36.200
<v Speaker 2>which involved a lot of love, beauty, guiltless sex, and capitalism.

0:56:37.520 --> 0:56:40.080
<v Speaker 2>There was a store where you could like become more

0:56:40.200 --> 0:56:46.400
<v Speaker 2>enlightened by spending money. It's cool, kind of genius and

0:56:46.440 --> 0:56:49.040
<v Speaker 2>so this is how she decided on this ranch, right,

0:56:49.120 --> 0:56:52.000
<v Speaker 2>the sixty four thousand acres, plenty of space to grow,

0:56:52.400 --> 0:56:57.680
<v Speaker 2>beautiful land, all of that stuff. Their arrival was not

0:56:57.719 --> 0:57:00.560
<v Speaker 2>really met with open arms by the people living in

0:57:00.560 --> 0:57:05.120
<v Speaker 2>Wassco County, especially those living in the small town of Antelope.

0:57:05.160 --> 0:57:07.719
<v Speaker 2>And when I say small, I mean like population a

0:57:07.760 --> 0:57:12.480
<v Speaker 2>few dozen small that was located really near the ranch.

0:57:13.560 --> 0:57:19.080
<v Speaker 2>And tensions between the townspeople of Antelope and the ranch

0:57:20.160 --> 0:57:23.360
<v Speaker 2>continued to mount as the Rajniches built up their community

0:57:23.560 --> 0:57:27.800
<v Speaker 2>to essentially be a mini city, complete with dozens of

0:57:27.880 --> 0:57:31.200
<v Speaker 2>modular buildings and mobile homes and a frames, a two

0:57:31.240 --> 0:57:34.240
<v Speaker 2>point two acre meeting hall, a one hundred and sixty

0:57:34.320 --> 0:57:38.320
<v Speaker 2>room hotel, a two block long shopping mall, a casino

0:57:38.440 --> 0:57:41.520
<v Speaker 2>and a disco, a medical lab, a dam, and a

0:57:41.600 --> 0:57:45.960
<v Speaker 2>lake water sewage and transportation systems, an airstrip for the

0:57:46.000 --> 0:57:49.200
<v Speaker 2>five private jet planes and helicopter owned by the cult

0:57:49.360 --> 0:57:51.920
<v Speaker 2>New Roads. I mean, you get the picture. It was

0:57:52.840 --> 0:57:54.920
<v Speaker 2>they built a whole city, a whole city. It was

0:57:54.960 --> 0:58:00.200
<v Speaker 2>a massive undertakings. It's yeah. And this happened within a

0:58:00.360 --> 0:58:03.240
<v Speaker 2>very short time frame, like when just a matter of

0:58:03.280 --> 0:58:06.480
<v Speaker 2>a couple of years which was terrifying for the people

0:58:06.520 --> 0:58:09.520
<v Speaker 2>of Antelope, who started to look for ways to kick

0:58:09.560 --> 0:58:12.640
<v Speaker 2>these people out of the town or ideally out of

0:58:12.640 --> 0:58:16.800
<v Speaker 2>the country. And when the legal way of doing things

0:58:17.080 --> 0:58:19.880
<v Speaker 2>didn't look like it was going to work to get

0:58:19.880 --> 0:58:24.280
<v Speaker 2>them gone, some open threats began to be made with

0:58:24.320 --> 0:58:29.040
<v Speaker 2>a lot of gun carrying around town. It was Yeah,

0:58:29.440 --> 0:58:33.240
<v Speaker 2>and the Reshine She's they met fire with fire. They

0:58:33.280 --> 0:58:37.680
<v Speaker 2>were began to stockpile weapons make threats to the town people,

0:58:38.520 --> 0:58:42.000
<v Speaker 2>and they also used the legal roots available to them.

0:58:42.480 --> 0:58:47.960
<v Speaker 2>They ran for town council. Oh okay, and they won handedly. Yeah,

0:58:48.040 --> 0:58:52.040
<v Speaker 2>because the Ragine She's greatly outnumbered the other residents of Antelope.

0:58:52.840 --> 0:58:55.640
<v Speaker 2>This meant that the cult now controlled everything in the town,

0:58:56.280 --> 0:58:59.960
<v Speaker 2>like everything, the roads, the water, the police force. They

0:59:00.120 --> 0:59:04.800
<v Speaker 2>renamed the town Rajni she And this of course further

0:59:04.960 --> 0:59:09.920
<v Speaker 2>escalated things because then residents of Wasco County and Antelope

0:59:10.040 --> 0:59:11.960
<v Speaker 2>ramped up their fight to get rid of the cult.

0:59:12.920 --> 0:59:16.720
<v Speaker 2>On both sides, there was violence, there was threats of violence.

0:59:17.280 --> 0:59:21.240
<v Speaker 2>It's a story of like constantly mounting tensions where cause

0:59:21.280 --> 0:59:27.280
<v Speaker 2>and effect is really difficult or almost impossible to disentangle. Yeah,

0:59:27.480 --> 0:59:32.520
<v Speaker 2>and a big reason for this constantly mounting tension was

0:59:33.000 --> 0:59:36.320
<v Speaker 2>at least in terms of the cult ma Anan Sheila.

0:59:37.400 --> 0:59:41.520
<v Speaker 2>So Sheila, who was spokesperson for the cult and effectively

0:59:41.560 --> 0:59:45.560
<v Speaker 2>its leader during Ragni's four year vow of public silence,

0:59:46.600 --> 0:59:50.960
<v Speaker 2>she was determined to win, to just gain more power,

0:59:51.120 --> 0:59:54.040
<v Speaker 2>and that's what she viewed as her life's mission, this

0:59:54.200 --> 0:59:57.360
<v Speaker 2>movement and making sure that this movement had whatever it

0:59:57.440 --> 1:00:02.040
<v Speaker 2>needed to grow and expand, and any threat to the

1:00:02.080 --> 1:00:06.320
<v Speaker 2>movement was a threat to her directly. So she announced

1:00:06.520 --> 1:00:09.160
<v Speaker 2>that she wasn't going to stop at taking over Antelope.

1:00:09.880 --> 1:00:13.640
<v Speaker 2>She had set her sites. Next on Wasco County, the

1:00:13.760 --> 1:00:18.360
<v Speaker 2>entire county, after that, Oregon, and then the world. The

1:00:18.360 --> 1:00:22.680
<v Speaker 2>only problem was that the cult members, who numbered like

1:00:22.720 --> 1:00:26.320
<v Speaker 2>two to three thousand estimates vary, they didn't have the

1:00:26.400 --> 1:00:30.000
<v Speaker 2>numbers to outvote. The other Wasco County residents, which is

1:00:30.040 --> 1:00:33.920
<v Speaker 2>around twenty thousand at this time. Okay, but luckily Sheila

1:00:34.000 --> 1:00:38.200
<v Speaker 2>had a strategy. She coordinated the buzzing in of thousands

1:00:38.240 --> 1:00:42.080
<v Speaker 2>of people who were experiencing homelessness into the ranch to

1:00:42.160 --> 1:00:44.640
<v Speaker 2>then get them to register to vote so that in

1:00:44.680 --> 1:00:47.560
<v Speaker 2>the next Wasco County election in the fall of nineteen

1:00:47.600 --> 1:00:51.960
<v Speaker 2>eighty four, they would have stronger representation, but that didn't

1:00:51.960 --> 1:00:56.560
<v Speaker 2>work out as planned, again with legal battles. At this point, though,

1:00:56.680 --> 1:01:00.600
<v Speaker 2>Sheila's position was getting to be a bit tenuous within

1:01:00.680 --> 1:01:04.720
<v Speaker 2>the cult and she felt increasingly threatened and desperate to

1:01:04.880 --> 1:01:08.200
<v Speaker 2>not lose her status as like the de facto cult leader.

1:01:08.800 --> 1:01:14.120
<v Speaker 2>She had to win this. Registering thousands of recently arrived

1:01:14.200 --> 1:01:16.640
<v Speaker 2>people to try to win an election didn't seem to

1:01:16.640 --> 1:01:20.200
<v Speaker 2>be working out, but that's okay. Shila had another.

1:01:19.920 --> 1:01:20.919
<v Speaker 3>Plan, oh no.

1:01:21.720 --> 1:01:24.520
<v Speaker 2>In the spring of nineteen eighty four, Sheila and one

1:01:24.560 --> 1:01:28.160
<v Speaker 2>of her top lieutenants, ma anand Pooja, who was a

1:01:28.240 --> 1:01:32.000
<v Speaker 2>nurse in charge of the Rajnish Medical Corporation, they had

1:01:32.040 --> 1:01:35.520
<v Speaker 2>a brainstorming session about ways they could, you know, ensure

1:01:36.040 --> 1:01:39.880
<v Speaker 2>the that they won the election. One of the ideas

1:01:39.880 --> 1:01:43.600
<v Speaker 2>floated was poisoning people to make them too sick to vote,

1:01:44.000 --> 1:01:47.320
<v Speaker 2>but make them sick with what that was the question?

1:01:47.800 --> 1:01:51.360
<v Speaker 2>Sila and Poja began reading books like I Kid You Not,

1:01:51.680 --> 1:01:55.920
<v Speaker 2>How to Kill Volumes one through four stop and The

1:01:56.000 --> 1:02:00.600
<v Speaker 2>Handbook of Poisons, which, like, I'm sure that like based

1:02:00.600 --> 1:02:03.919
<v Speaker 2>on what we do for this podcast, our Google search

1:02:03.960 --> 1:02:09.160
<v Speaker 2>history is also quite bizarre. Yeah, but still, but still.

1:02:10.000 --> 1:02:13.600
<v Speaker 2>And they also visited a local urologist to ask which

1:02:13.640 --> 1:02:17.680
<v Speaker 2>poisons and bacteria would be difficult to trace but deadly,

1:02:18.320 --> 1:02:20.520
<v Speaker 2>And they were like, oh, well, we're worried about people

1:02:20.560 --> 1:02:22.960
<v Speaker 2>poisoning the cults, so we want to know what we

1:02:22.960 --> 1:02:27.800
<v Speaker 2>should keep an eye out for. And he was like salmonella, Like, well,

1:02:28.080 --> 1:02:31.920
<v Speaker 2>kind of easy to trace, but okay. It seems like

1:02:31.960 --> 1:02:34.840
<v Speaker 2>they were more concerned about like the logistics of it,

1:02:35.320 --> 1:02:38.760
<v Speaker 2>and like, how do we best do this. Sheila had

1:02:38.760 --> 1:02:42.240
<v Speaker 2>tried to coordinate the assassinations of political enemies of the cult,

1:02:43.000 --> 1:02:45.600
<v Speaker 2>and she had also poisoned people who had wronged her

1:02:45.680 --> 1:02:50.160
<v Speaker 2>within a cult. Naturally, Pooja was apparently known by some

1:02:50.280 --> 1:02:53.520
<v Speaker 2>in a cult as Nurse Mengly because of her obsession

1:02:53.560 --> 1:02:57.600
<v Speaker 2>with using poisons and pathogens as a weapon, with one

1:02:57.680 --> 1:03:01.040
<v Speaker 2>report of her trying to weaponize HIV. So, you know,

1:03:01.320 --> 1:03:08.160
<v Speaker 2>it's I'm sorry, what I know, it's horrifying, And there's

1:03:08.160 --> 1:03:10.080
<v Speaker 2>so much more to the story that's like this is

1:03:10.680 --> 1:03:15.480
<v Speaker 2>just scratching the surface. It's kind of unbelievable. So at

1:03:15.520 --> 1:03:18.760
<v Speaker 2>the ranch there grew to be increasing conflict between the

1:03:18.840 --> 1:03:21.360
<v Speaker 2>Rashni She's and these people that had been busted in,

1:03:22.000 --> 1:03:26.800
<v Speaker 2>and so Pooja's and Sheila's solution was to tranquilize the

1:03:26.880 --> 1:03:32.280
<v Speaker 2>people the new arrivals, either with sneak injections or by

1:03:32.320 --> 1:03:36.040
<v Speaker 2>putting it in the beer that they were given every day,

1:03:36.880 --> 1:03:40.440
<v Speaker 2>but for their sicken the public to prevent voting scheme.

1:03:41.240 --> 1:03:45.840
<v Speaker 2>They also toyed with the idea of hepatitis viruses, typhoid

1:03:46.240 --> 1:03:51.120
<v Speaker 2>and putting beavers for giardia, or just dead rats and

1:03:51.200 --> 1:03:53.880
<v Speaker 2>mice into the public water system, just dropping it in

1:03:53.920 --> 1:03:58.640
<v Speaker 2>there to make everyone sick. But salmonella seemed the most promising,

1:03:59.480 --> 1:04:03.160
<v Speaker 2>not to mention accessible because where do you get salmonella?

1:04:03.320 --> 1:04:03.520
<v Speaker 1>Right?

1:04:04.200 --> 1:04:05.400
<v Speaker 2>You order it?

1:04:06.080 --> 1:04:06.840
<v Speaker 3>You can order it.

1:04:07.240 --> 1:04:10.760
<v Speaker 2>I don't know if regulations have changed, but because back

1:04:10.840 --> 1:04:14.760
<v Speaker 2>then they had a medical corporation and a lab, all

1:04:14.800 --> 1:04:19.040
<v Speaker 2>they had to do was order samples from companies. Yeah, salmonella,

1:04:19.080 --> 1:04:22.040
<v Speaker 2>typhomiriam wasn't the only one they ordered. They also got

1:04:22.120 --> 1:04:31.640
<v Speaker 2>positive agents for typhoid, gonorrhea, tularimia, ooh, shigella, and others.

1:04:32.040 --> 1:04:32.200
<v Speaker 1>Yeah.

1:04:32.240 --> 1:04:34.560
<v Speaker 4>I mean, you're supposed to have a medical lab that

1:04:34.800 --> 1:04:39.040
<v Speaker 4>is biosafety licensed of a certain level to deal with

1:04:39.240 --> 1:04:43.120
<v Speaker 4>certain pathogens, and those are supposed to be inspected. However,

1:04:43.200 --> 1:04:46.480
<v Speaker 4>often to maintain their status, they're supposed to be checks

1:04:46.480 --> 1:04:48.040
<v Speaker 4>and balances in place here.

1:04:48.520 --> 1:04:51.240
<v Speaker 2>Well, but I think the thing is they had been

1:04:51.320 --> 1:04:55.560
<v Speaker 2>inspected by the public health officials. Their operation, their medical

1:04:55.640 --> 1:05:01.640
<v Speaker 2>lab operation was big, like they had jit equipment and everything.

1:05:01.840 --> 1:05:05.360
<v Speaker 2>So it which makes it all the more scary, I think,

1:05:05.480 --> 1:05:09.640
<v Speaker 2>I know. But to make sure that salmonella typhemurriam was

1:05:09.840 --> 1:05:12.880
<v Speaker 2>the one they had to test it out. Of course,

1:05:13.640 --> 1:05:16.800
<v Speaker 2>the perfect opportunity presented itself with a planned visit in

1:05:16.880 --> 1:05:20.920
<v Speaker 2>late August nineteen eighty four by Judge William Holtse wasco

1:05:21.000 --> 1:05:26.440
<v Speaker 2>County executive and Raymond Matthew Wasco County commissioner. They got

1:05:26.480 --> 1:05:29.280
<v Speaker 2>a flat tire during their inspection of the ranch, and

1:05:29.320 --> 1:05:32.080
<v Speaker 2>while changing the tire, they were offered some cups of

1:05:32.120 --> 1:05:34.760
<v Speaker 2>water which they drank.

1:05:35.400 --> 1:05:36.440
<v Speaker 3>Oh my goodness.

1:05:36.480 --> 1:05:40.720
<v Speaker 2>Within about eight hours they were both violently ill and

1:05:40.920 --> 1:05:43.880
<v Speaker 2>Holse nearly died. Like he went to the hospital and

1:05:44.040 --> 1:05:47.160
<v Speaker 2>was like it was touch and go wow. And the

1:05:47.160 --> 1:05:52.080
<v Speaker 2>cause salmonella salmonaa. So now we arrive at the big moment.

1:05:53.160 --> 1:05:57.320
<v Speaker 2>The poisoning of Holse and Matthew showed that those samples

1:05:57.800 --> 1:06:00.600
<v Speaker 2>could make people sick, but what it on a big

1:06:00.600 --> 1:06:04.240
<v Speaker 2>scale For that, a bunch of members from the cult

1:06:04.320 --> 1:06:08.080
<v Speaker 2>dressed up in disguise. They put on wigs, and they

1:06:08.880 --> 1:06:12.840
<v Speaker 2>changed out their bright red clothes and robes for more

1:06:12.960 --> 1:06:16.880
<v Speaker 2>neutral toned outfits, and they went around to restaurants and

1:06:16.920 --> 1:06:24.000
<v Speaker 2>grocery stores in the dolls, mostly sprinkling salmonella on salad bars,

1:06:24.240 --> 1:06:29.400
<v Speaker 2>in coffee creamers, in dressings, over produced departments and so on,

1:06:29.600 --> 1:06:34.800
<v Speaker 2>like everywhere. They just literally seeded everything with salmonella.

1:06:35.680 --> 1:06:38.440
<v Speaker 4>Okay, how did it come to light Aaron?

1:06:38.760 --> 1:06:43.200
<v Speaker 2>Okay, So at the time, like I said, the CDC

1:06:43.280 --> 1:06:46.120
<v Speaker 2>concluded that, well, we don't really know exactly what happened.

1:06:46.160 --> 1:06:49.760
<v Speaker 2>What we suspect it was this person. There were people

1:06:49.800 --> 1:06:53.760
<v Speaker 2>who did suspect that it was the cult, it was

1:06:53.880 --> 1:06:57.200
<v Speaker 2>the Rajniches that were behind it, But there was no

1:06:57.400 --> 1:07:00.480
<v Speaker 2>apparent evidence at the time linking the rush Niche She's

1:07:00.520 --> 1:07:03.560
<v Speaker 2>to the outbreak the poisoning, which that was just sort

1:07:03.600 --> 1:07:07.480
<v Speaker 2>of like a dry run, I guess, because this was

1:07:07.520 --> 1:07:11.480
<v Speaker 2>in September and the actual voting happened later on, and

1:07:11.520 --> 1:07:14.120
<v Speaker 2>so when it came time to the actual election, there was,

1:07:14.440 --> 1:07:17.280
<v Speaker 2>as far as I'm aware of, no like salmonella poisoning,

1:07:17.960 --> 1:07:23.680
<v Speaker 2>and the Rajnich candidates in this election lost by a landslide.

1:07:24.440 --> 1:07:27.920
<v Speaker 2>There was a record ninety three percent voter turnout. Wow,

1:07:28.080 --> 1:07:33.200
<v Speaker 2>that's really high. Sheila's position, I think, with this loss,

1:07:33.360 --> 1:07:38.240
<v Speaker 2>continued to slip and her paranoia grew. And on September thirteenth,

1:07:38.400 --> 1:07:41.080
<v Speaker 2>nineteen eighty five, which is about a year after that

1:07:41.120 --> 1:07:46.320
<v Speaker 2>Salmonela attack began, Sheila and a few others fled to Europe.

1:07:47.160 --> 1:07:51.040
<v Speaker 2>A few days later, raj Niche broke his four year

1:07:51.120 --> 1:07:53.800
<v Speaker 2>vow of public silence. He came out on stage and

1:07:53.960 --> 1:07:58.600
<v Speaker 2>was like, I denounced Sheila and her allies. They betrayed

1:07:58.600 --> 1:08:01.720
<v Speaker 2>my faith. They had done they were responsible for all

1:08:01.840 --> 1:08:05.040
<v Speaker 2>these criminal things. They're horrible people. They're no longer in

1:08:05.080 --> 1:08:08.440
<v Speaker 2>the light, et cetera. You know, she attempted murder of

1:08:08.800 --> 1:08:12.600
<v Speaker 2>followers who challenged her authority. She mismanaged my money and

1:08:13.000 --> 1:08:16.920
<v Speaker 2>left this commune fifty five million dollars in debt, and

1:08:16.960 --> 1:08:20.559
<v Speaker 2>so I have to sell my ninety rolls royces. She

1:08:21.120 --> 1:08:24.840
<v Speaker 2>tried to poison my doctor and dentist. She did incredibly

1:08:24.840 --> 1:08:30.280
<v Speaker 2>intensive wiretapping, experimented with different lethal poisons on mice to

1:08:30.320 --> 1:08:34.040
<v Speaker 2>try to find ones that were untraceable and had coordinated

1:08:34.040 --> 1:08:37.880
<v Speaker 2>this salmonella attack. And so in the midst of all

1:08:37.880 --> 1:08:42.280
<v Speaker 2>of this denouncing of Sheila, Rajnische was like, I demand

1:08:42.320 --> 1:08:45.519
<v Speaker 2>a government investigation. This is on you now, you need

1:08:45.560 --> 1:08:51.759
<v Speaker 2>to investigate what's going what happened. And the investigation found

1:08:52.040 --> 1:08:56.599
<v Speaker 2>glass vials containing salmonella bactrol discs that had been ordered

1:08:56.640 --> 1:09:01.760
<v Speaker 2>from VWR Scientific and sure enough that salmonella was the

1:09:01.840 --> 1:09:05.160
<v Speaker 2>same as the one that had made those hundreds of

1:09:05.200 --> 1:09:08.960
<v Speaker 2>people sick in the Dallas and Rajishi, of course denied

1:09:09.080 --> 1:09:11.320
<v Speaker 2>knowing any of it. He was like, I knew nothing.

1:09:11.800 --> 1:09:15.920
<v Speaker 2>So was Shila just escapegoat for all of this? I mean,

1:09:15.960 --> 1:09:18.519
<v Speaker 2>she clearly was responsible for like a lot, and she

1:09:18.640 --> 1:09:23.479
<v Speaker 2>clearly was completely without morals. But yeah, so how does

1:09:23.479 --> 1:09:26.040
<v Speaker 2>the story end. The story ends with a few of

1:09:26.080 --> 1:09:30.280
<v Speaker 2>these key players getting some jail time about four years

1:09:30.960 --> 1:09:35.280
<v Speaker 2>and had to pay some fines. So Sheila, if you

1:09:35.360 --> 1:09:38.080
<v Speaker 2>are curious, now runs a couple of care homes in

1:09:38.120 --> 1:09:41.840
<v Speaker 2>Switzerland for seniors and people with degenerative disorders.

1:09:44.120 --> 1:09:54.200
<v Speaker 4>Your face, I no, oh, no, m hm, fascinating, Aaron, Aaron.

1:09:54.080 --> 1:10:04.360
<v Speaker 2>Nah, I know, h it's so interesting because I was

1:10:04.400 --> 1:10:06.880
<v Speaker 2>trying to figure out, like, what is the legacy of

1:10:06.920 --> 1:10:11.000
<v Speaker 2>this bioterrorism attack. This was the first time when we

1:10:11.000 --> 1:10:13.519
<v Speaker 2>were doing this episode that I had read about it,

1:10:13.560 --> 1:10:16.000
<v Speaker 2>and I was like, what on earth, There's so much

1:10:16.040 --> 1:10:18.360
<v Speaker 2>more to this story than I had any idea. This

1:10:18.400 --> 1:10:21.040
<v Speaker 2>seems like it would have been huge news, and of

1:10:21.040 --> 1:10:24.559
<v Speaker 2>course it was in Oregon, but from what I read,

1:10:24.600 --> 1:10:28.160
<v Speaker 2>it doesn't seem like it got a ton of national attention.

1:10:29.120 --> 1:10:32.240
<v Speaker 2>And I think that part of the reason for that

1:10:32.640 --> 1:10:36.840
<v Speaker 2>is because public health officials were like, oh my gosh,

1:10:37.560 --> 1:10:40.360
<v Speaker 2>this was so easy for them to do. We don't

1:10:40.400 --> 1:10:43.720
<v Speaker 2>want people to know that this is possible. We don't

1:10:43.720 --> 1:10:47.920
<v Speaker 2>want any copycats. This is disturbing. And so, as far

1:10:47.960 --> 1:10:51.000
<v Speaker 2>as I could tell, it didn't really immediately result in

1:10:51.080 --> 1:10:54.840
<v Speaker 2>any changes to regulations about who could order germs or

1:10:54.880 --> 1:10:58.760
<v Speaker 2>for what purpose. I imagine I hope that that has

1:10:58.920 --> 1:11:03.800
<v Speaker 2>changed somewhat by this point. Interesting in any case, the

1:11:03.880 --> 1:11:07.960
<v Speaker 2>nineteen eighty four Wasco County salmonella attack was not the

1:11:08.040 --> 1:11:12.000
<v Speaker 2>last time that salmonella made headlines. There have been many

1:11:12.120 --> 1:11:17.320
<v Speaker 2>unintentional outbreaks since, including a huge one in Chicago from

1:11:17.439 --> 1:11:20.720
<v Speaker 2>contamination at a milk processing plant, and it led to

1:11:21.000 --> 1:11:23.040
<v Speaker 2>sixteen thousand confirmed cases.

1:11:23.120 --> 1:11:26.040
<v Speaker 3>Ooh, sixteen thousand confirmed.

1:11:26.680 --> 1:11:28.840
<v Speaker 2>That's what it said in the new In a news

1:11:28.840 --> 1:11:30.920
<v Speaker 2>report I read, yeah, oh my god, that's going to

1:11:30.960 --> 1:11:35.719
<v Speaker 2>be a lot more than that actual cases. Uh huh

1:11:35.760 --> 1:11:36.800
<v Speaker 2>oh boy.

1:11:37.000 --> 1:11:37.280
<v Speaker 1>Yeah.

1:11:38.160 --> 1:11:42.000
<v Speaker 2>And reports in the late eighties revealed the incredible extent

1:11:42.080 --> 1:11:46.200
<v Speaker 2>to which salmonella is present on eggs, which was also

1:11:46.280 --> 1:11:49.120
<v Speaker 2>I think the first time that food hygiene as it

1:11:49.160 --> 1:11:55.840
<v Speaker 2>related to salmonella gained more widespread awareness. But I'm really curious, Aaron,

1:11:56.439 --> 1:11:59.720
<v Speaker 2>what has happened in the years since. Oh, I know,

1:12:00.000 --> 1:12:03.679
<v Speaker 2>intibiotic resistance is an issue, and reporting and tracing outbreaks

1:12:03.760 --> 1:12:05.880
<v Speaker 2>is so problematic. Can you bring me up to speed?

1:12:05.920 --> 1:12:08.920
<v Speaker 2>How many people get sick? What's the biggest problems all

1:12:09.000 --> 1:12:09.559
<v Speaker 2>that stuff?

1:12:09.720 --> 1:12:37.559
<v Speaker 4>I can't wait to Let's take a break first, So

1:12:37.680 --> 1:12:41.040
<v Speaker 4>I thought for this one, I'd start like as broad

1:12:41.160 --> 1:12:45.120
<v Speaker 4>as possible and then dig down to more narrow All right, Okay,

1:12:45.200 --> 1:12:50.519
<v Speaker 4>that's my sure. So globally, if we just look at

1:12:50.680 --> 1:12:56.080
<v Speaker 4>food borne illness in general, the World Health Organization estimates

1:12:56.160 --> 1:13:01.120
<v Speaker 4>over six hundred million infections and four hundred twenty thousand

1:13:01.240 --> 1:13:07.160
<v Speaker 4>deaths associated with food born illness specifically, If we look

1:13:07.479 --> 1:13:13.400
<v Speaker 4>just at the diarrheal food born infections. Those cause an

1:13:13.520 --> 1:13:18.080
<v Speaker 4>estimated two hundred and thirty thousand deaths worldwide, so over half.

1:13:18.920 --> 1:13:23.160
<v Speaker 4>And salmonella is one of these principal agents that cause

1:13:23.320 --> 1:13:29.200
<v Speaker 4>death among those food born diarrheal illnesses. So it's estimated

1:13:29.280 --> 1:13:32.519
<v Speaker 4>if we now just look more specifically at salmonella, that

1:13:32.760 --> 1:13:36.960
<v Speaker 4>salmonella enteritis itself in twenty seventeen is estimated to have

1:13:37.040 --> 1:13:44.000
<v Speaker 4>caused over ninety five million infections worldwide, and there's a

1:13:44.080 --> 1:13:47.400
<v Speaker 4>really wide margin of error on that estimate, of course,

1:13:47.960 --> 1:13:52.639
<v Speaker 4>and over fifty thousand deaths. Again wide margin of error.

1:13:53.560 --> 1:13:55.720
<v Speaker 4>If we now get even more specific and turn to

1:13:55.880 --> 1:14:02.759
<v Speaker 4>invasive disease, so invasive salmonella, not typhoid salmonilla, it's estimated

1:14:02.800 --> 1:14:05.720
<v Speaker 4>that there were in twenty seventeen over five hundred and

1:14:05.720 --> 1:14:11.439
<v Speaker 4>thirty five thousand cases of invasive non typhoidal salmonella, with

1:14:11.520 --> 1:14:15.840
<v Speaker 4>the highest incidents in Sub Saharan Africa, and they estimated

1:14:16.280 --> 1:14:20.840
<v Speaker 4>over thirty four cases per one hundred thousand happened in

1:14:20.920 --> 1:14:25.200
<v Speaker 4>children under age five, so a huge burden in children,

1:14:25.640 --> 1:14:27.880
<v Speaker 4>and they are of course some of the highest risk

1:14:27.960 --> 1:14:32.479
<v Speaker 4>for severe illness and invasive disease and this paper also

1:14:32.640 --> 1:14:36.760
<v Speaker 4>estimated over seventy seven thousand deaths in twenty seventeen just

1:14:36.800 --> 1:14:42.320
<v Speaker 4>from invasive salmonilla. So that's separate from the salmonella enteritis.

1:14:42.720 --> 1:14:44.080
<v Speaker 3>Oh wow, I know.

1:14:44.479 --> 1:14:51.120
<v Speaker 4>Yeah, the all age case fatality rate for invasive salmonella

1:14:51.360 --> 1:14:55.600
<v Speaker 4>was fourteen and a half percent on average, fourteen percent

1:14:55.880 --> 1:14:58.000
<v Speaker 4>death toll from invasive salmonella.

1:14:58.080 --> 1:15:00.519
<v Speaker 3>That is, I had no.

1:15:00.560 --> 1:15:05.280
<v Speaker 4>Idea how severe an invasive salmonella infection.

1:15:06.080 --> 1:15:10.320
<v Speaker 2>And so when you get an invasive salmonella infection, is

1:15:10.320 --> 1:15:13.360
<v Speaker 2>it just that antibiotics don't always get there in time,

1:15:13.640 --> 1:15:17.240
<v Speaker 2>or is it antibiotic resistant infections? Like what's contributing to

1:15:17.280 --> 1:15:18.080
<v Speaker 2>that high death toll?

1:15:18.160 --> 1:15:20.080
<v Speaker 4>Yeah, it's a good question. I think it's a lot

1:15:20.160 --> 1:15:22.560
<v Speaker 4>of things. I think it's probably a combination.

1:15:22.160 --> 1:15:22.640
<v Speaker 3>Of all of that.

1:15:22.800 --> 1:15:26.880
<v Speaker 4>It's also that so the case fatality rate is even

1:15:27.040 --> 1:15:29.800
<v Speaker 4>higher if you look at just the elderly, or look

1:15:29.800 --> 1:15:32.840
<v Speaker 4>at just those under age five, or just those living

1:15:32.840 --> 1:15:36.800
<v Speaker 4>with HIV, So that's even just the average. But I

1:15:36.840 --> 1:15:38.360
<v Speaker 4>think it's a lot of things. I think it's how

1:15:38.400 --> 1:15:41.200
<v Speaker 4>overwhelming the infection can be, maybe by the time you

1:15:41.280 --> 1:15:41.960
<v Speaker 4>identify it.

1:15:42.040 --> 1:15:43.280
<v Speaker 3>I think it's that a.

1:15:43.200 --> 1:15:45.760
<v Speaker 4>Lot of these are happening in areas that have a

1:15:45.840 --> 1:15:48.679
<v Speaker 4>lack of access to good medical care, or to rapid

1:15:48.800 --> 1:15:52.240
<v Speaker 4>medical care with identification and quick treatment and that sort

1:15:52.280 --> 1:15:55.000
<v Speaker 4>of thing. So I think it's a lot of factors

1:15:55.040 --> 1:15:59.920
<v Speaker 4>that play into it. In the US alone, the CDC

1:16:00.240 --> 1:16:04.120
<v Speaker 4>estimates that there are over one point three five million

1:16:04.200 --> 1:16:10.880
<v Speaker 4>cases of salmonellosis every year, over twenty six thousand hospitalizations

1:16:11.280 --> 1:16:15.400
<v Speaker 4>and four hundred twenty deaths in the US. And now

1:16:15.400 --> 1:16:18.840
<v Speaker 4>here's where it gets even scarier. And this data I

1:16:18.880 --> 1:16:22.160
<v Speaker 4>really only have for the US, but this isn't specific

1:16:22.200 --> 1:16:24.679
<v Speaker 4>to the US, but this data is from the US.

1:16:25.360 --> 1:16:29.559
<v Speaker 4>Of those one point three five million cases, it's estimated

1:16:29.560 --> 1:16:32.080
<v Speaker 4>that over two hundred thousand of them are due to

1:16:32.160 --> 1:16:40.240
<v Speaker 4>antibiotic resistance salmonella. Wow, including an estimated twenty thousand, twenty thousand,

1:16:40.320 --> 1:16:43.120
<v Speaker 4>at least cases a year that are resistant to three

1:16:43.320 --> 1:16:45.760
<v Speaker 4>or more of the essential antibiotics that we would use

1:16:45.800 --> 1:16:50.679
<v Speaker 4>to treat salmonella. Antibiotic resistance it's a really big problem, obviously,

1:16:50.720 --> 1:16:53.160
<v Speaker 4>when it comes to so many infections, not just salmonella,

1:16:54.000 --> 1:16:56.320
<v Speaker 4>but in salmonella. I think part of the reason that

1:16:56.360 --> 1:16:59.400
<v Speaker 4>it's a particular problem is because of the way that

1:16:59.439 --> 1:17:04.000
<v Speaker 4>antibiotic resistance can develop in our food system and then

1:17:04.080 --> 1:17:08.800
<v Speaker 4>spread through that food system. Yeah, right, So, because salmonella

1:17:08.920 --> 1:17:12.720
<v Speaker 4>can be found in so many guts of so many animals,

1:17:13.040 --> 1:17:17.240
<v Speaker 4>especially domestic animals that we use for food, it can then,

1:17:17.400 --> 1:17:20.080
<v Speaker 4>like you were saying, aaron, enter our food system from

1:17:20.120 --> 1:17:24.240
<v Speaker 4>a number of different ways, from the processing to the

1:17:24.280 --> 1:17:27.040
<v Speaker 4>water supply. It can end up on the boots of

1:17:27.080 --> 1:17:30.360
<v Speaker 4>a farmer and then be transferred between locations. It can

1:17:30.439 --> 1:17:32.679
<v Speaker 4>end up in the soil. It can be carried by

1:17:32.880 --> 1:17:37.120
<v Speaker 4>rodents or even insects. Potentially, it can persist on shared

1:17:37.160 --> 1:17:39.799
<v Speaker 4>equipment like you mentioned, It can be in these tanks

1:17:39.800 --> 1:17:42.960
<v Speaker 4>where they're cleaning things that just then get filled with salmonella.

1:17:43.960 --> 1:17:45.840
<v Speaker 4>It can be everywhere. It has a lot of points

1:17:45.840 --> 1:17:51.240
<v Speaker 4>of entry into our food system. Right, that's just salmonilla. Now,

1:17:51.680 --> 1:17:57.479
<v Speaker 4>Antibiotic resistance genes are present not just in bacteria of

1:17:57.640 --> 1:18:02.559
<v Speaker 4>pathogen potential, but antibiotic resistance genes are present in a

1:18:02.560 --> 1:18:06.880
<v Speaker 4>lot of environmental microorganisms. So there's what's often called like

1:18:06.880 --> 1:18:11.800
<v Speaker 4>an environmental resistome that exists, and these genes can then

1:18:11.880 --> 1:18:16.479
<v Speaker 4>also make their way into bacteria of pathogen potential. It

1:18:16.479 --> 1:18:19.400
<v Speaker 4>doesn't have to be that these salmonella making their way

1:18:19.479 --> 1:18:24.120
<v Speaker 4>into our food system have to evolve these resistance genes denovo.

1:18:25.040 --> 1:18:27.479
<v Speaker 4>A lot of the times these genes already exist and

1:18:27.560 --> 1:18:31.880
<v Speaker 4>in many cases are present on plasmids or if let's

1:18:31.920 --> 1:18:35.680
<v Speaker 4>say other like lactic acid bacteria in the soil like

1:18:36.000 --> 1:18:39.240
<v Speaker 4>break open. Now, these genes are in the environment, so

1:18:39.400 --> 1:18:43.280
<v Speaker 4>bacteria like salmonella can then come into contact and pick

1:18:43.320 --> 1:18:47.839
<v Speaker 4>them up via conjugation or transformation. See our antibiotic resistance

1:18:47.840 --> 1:18:52.320
<v Speaker 4>episode for more. But and that too is one of

1:18:52.360 --> 1:18:56.600
<v Speaker 4>the reasons why, like the widespread use of antibiotics, especially

1:18:56.720 --> 1:19:00.920
<v Speaker 4>in our farm system and our domestic animal like animal

1:19:00.960 --> 1:19:04.519
<v Speaker 4>for meat production and things, is so concerning and such

1:19:04.520 --> 1:19:07.960
<v Speaker 4>a big part of the problem that contributes to antibiotic resistance, right,

1:19:07.960 --> 1:19:12.200
<v Speaker 4>because you're selecting for these resistance genes not just in

1:19:12.240 --> 1:19:15.840
<v Speaker 4>the pathogens, but in the environmental bacteria as a whole.

1:19:16.600 --> 1:19:19.040
<v Speaker 2>It is nightmarish, It really is.

1:19:19.680 --> 1:19:20.040
<v Speaker 3>It is.

1:19:21.120 --> 1:19:25.040
<v Speaker 4>Yeah, speaking of nightmarish.

1:19:25.080 --> 1:19:27.599
<v Speaker 2>Great, Yeah, love that segue.

1:19:27.840 --> 1:19:30.600
<v Speaker 3>Right, that's a good one. Thanks for handing it to me.

1:19:31.640 --> 1:19:34.240
<v Speaker 4>I want to give a shout out to a very

1:19:34.280 --> 1:19:37.160
<v Speaker 4>great and thorough article that Aaron you sent me over.

1:19:38.240 --> 1:19:43.240
<v Speaker 4>This article was published in pro Publica. It dives very

1:19:43.280 --> 1:19:50.040
<v Speaker 4>deeply into an outbreak that perhaps is still evolving, perhaps

1:19:50.120 --> 1:19:53.080
<v Speaker 4>has waned, it's hard to say, but an outbreak of

1:19:53.200 --> 1:19:57.120
<v Speaker 4>Salmonella a sarahvar called infantis, which I mentioned at the top,

1:19:58.000 --> 1:20:01.639
<v Speaker 4>that started in twenty eighteen. This is a particularly multi

1:20:01.760 --> 1:20:07.080
<v Speaker 4>drug resistant and particularly infectious and tends to cause relatively

1:20:07.120 --> 1:20:11.720
<v Speaker 4>severe disease sarah var that really ran rampant and was

1:20:11.800 --> 1:20:16.240
<v Speaker 4>found at extremely high prevalence in meat and poultry samples.

1:20:17.200 --> 1:20:21.080
<v Speaker 4>And throughout this outbreak, according to the article, the CDC

1:20:21.360 --> 1:20:25.800
<v Speaker 4>estimated that for every confirmed case of salmonella, an additional

1:20:26.040 --> 1:20:32.040
<v Speaker 4>thirty are never reported, So this outbreak likely had infected

1:20:32.320 --> 1:20:33.719
<v Speaker 4>nearly three thousand people.

1:20:34.960 --> 1:20:38.000
<v Speaker 3>I had never heard of it. No, Yeah, this was.

1:20:37.960 --> 1:20:42.200
<v Speaker 4>Like twenty eighteen, twenty nineteen, Like this just happened. And

1:20:42.360 --> 1:20:45.479
<v Speaker 4>this article does a really great job of kind of

1:20:45.560 --> 1:20:49.400
<v Speaker 4>highlighting some of the major flaws. And this is US specific,

1:20:49.439 --> 1:20:52.240
<v Speaker 4>and they kind of compare to the way the regulatory

1:20:52.280 --> 1:20:55.040
<v Speaker 4>system works in the US versus Canada and Europe and

1:20:55.040 --> 1:20:58.639
<v Speaker 4>other countries. But we have in the US some pretty

1:20:58.680 --> 1:21:03.400
<v Speaker 4>massive holes in our how our regulatory system works in

1:21:03.520 --> 1:21:07.920
<v Speaker 4>terms of what the CDC can do and require and

1:21:08.040 --> 1:21:11.840
<v Speaker 4>investigate and what their investigations can then produce as like

1:21:11.920 --> 1:21:16.960
<v Speaker 4>a recommendation or product versus the FDA versus the USDA

1:21:17.360 --> 1:21:20.320
<v Speaker 4>who oversees meat and poultry and that is separate from

1:21:20.320 --> 1:21:22.320
<v Speaker 4>the FDA that does all of the rest of the

1:21:22.360 --> 1:21:28.639
<v Speaker 4>food right and essentially, just like this system, which probably

1:21:28.640 --> 1:21:31.680
<v Speaker 4>comes as no surprise to anyone who's listened to this podcast,

1:21:32.000 --> 1:21:35.719
<v Speaker 4>is not designed to protect the consumer. No, it's designed

1:21:35.760 --> 1:21:39.680
<v Speaker 4>to protect the industry. You might hear about salmonella in

1:21:39.840 --> 1:21:43.080
<v Speaker 4>your bag of spinach every once in a while, you

1:21:43.160 --> 1:21:44.880
<v Speaker 4>might hear about it every once in a while in

1:21:45.000 --> 1:21:48.840
<v Speaker 4>chicken from this one farm. But the problem is so

1:21:49.160 --> 1:21:52.599
<v Speaker 4>much bigger than that, and to really get a handle

1:21:52.640 --> 1:21:55.639
<v Speaker 4>on it, we have to truly in this country revamp

1:21:55.720 --> 1:21:58.360
<v Speaker 4>the way that our food system works and the power

1:21:58.479 --> 1:22:02.639
<v Speaker 4>that regulatory government bodies actually have to regulate that industry,

1:22:02.640 --> 1:22:07.599
<v Speaker 4>which essentially doesn't exist right now. Salmonella is pretty easy

1:22:07.640 --> 1:22:10.360
<v Speaker 4>to kill. It's not like some of the bacteria that

1:22:10.360 --> 1:22:13.559
<v Speaker 4>we've talked about that have like very environmentally hardy spores

1:22:13.640 --> 1:22:18.800
<v Speaker 4>or anything. So cooking your food properly does kill the bacteria,

1:22:19.400 --> 1:22:23.200
<v Speaker 4>and it does have a really high infectious dose so

1:22:23.439 --> 1:22:24.360
<v Speaker 4>that's also good.

1:22:25.800 --> 1:22:26.040
<v Speaker 3>Yeah.

1:22:26.080 --> 1:22:28.719
<v Speaker 4>It is also though, really easy to contaminate other parts

1:22:28.720 --> 1:22:31.440
<v Speaker 4>of the kitchen, so I think like, yeah, the knives,

1:22:31.479 --> 1:22:35.000
<v Speaker 4>the cutting boards, the counter, your hands. Everything has to

1:22:35.040 --> 1:22:37.880
<v Speaker 4>be really well cleaned, including things that you aren't going

1:22:37.920 --> 1:22:41.280
<v Speaker 4>to cook like salad, greens, or fruits. These things need

1:22:41.320 --> 1:22:43.919
<v Speaker 4>to be washed, and that can really be a challenge

1:22:43.920 --> 1:22:45.360
<v Speaker 4>sometimes it can.

1:22:45.640 --> 1:22:47.080
<v Speaker 2>It really can.

1:22:47.680 --> 1:22:48.320
<v Speaker 3>One of the.

1:22:48.280 --> 1:22:52.400
<v Speaker 4>Biggest tools that we have to use in understanding the

1:22:52.520 --> 1:22:56.439
<v Speaker 4>extent to which salmonella poses a public health problem is

1:22:56.479 --> 1:23:00.160
<v Speaker 4>of course through testing, but not just testing up of

1:23:00.320 --> 1:23:04.200
<v Speaker 4>environmental samples or of meat products or produce, but also

1:23:04.320 --> 1:23:08.360
<v Speaker 4>testing of humans when we get sick. Because while a

1:23:08.439 --> 1:23:13.040
<v Speaker 4>lot of salmonella cases are never reported because the person

1:23:13.080 --> 1:23:15.719
<v Speaker 4>who got sick maybe didn't get sick enough to actually

1:23:15.720 --> 1:23:18.800
<v Speaker 4>go to the hospital or clinic, but there are a

1:23:18.800 --> 1:23:20.040
<v Speaker 4>lot of people who do.

1:23:20.680 --> 1:23:22.880
<v Speaker 3>So if, for example, you.

1:23:22.840 --> 1:23:26.479
<v Speaker 4>Get quite sick, you have really bad stomach cramps, you

1:23:26.520 --> 1:23:29.400
<v Speaker 4>absolutely can't stop pooping, and you decide to go to

1:23:29.439 --> 1:23:33.240
<v Speaker 4>the hospital or a doctor's office. Once you're there, what's

1:23:33.400 --> 1:23:35.479
<v Speaker 4>very likely going to happen is that you might get

1:23:35.520 --> 1:23:39.400
<v Speaker 4>asked to provide a sample of said poop or stool

1:23:39.840 --> 1:23:42.640
<v Speaker 4>to figure out what the cause is of your symptoms.

1:23:43.520 --> 1:23:47.080
<v Speaker 4>But the question is how exactly does all that information

1:23:47.240 --> 1:23:50.040
<v Speaker 4>come to light, Like where does that stool sample go,

1:23:50.840 --> 1:23:53.360
<v Speaker 4>who is the person who's having to sort through it

1:23:53.400 --> 1:23:55.599
<v Speaker 4>and test it, and what else are.

1:23:55.439 --> 1:23:56.040
<v Speaker 3>They working with.

1:23:57.200 --> 1:24:00.360
<v Speaker 4>We are really happy to have the help of medical

1:24:00.439 --> 1:24:05.280
<v Speaker 4>laboratory scientist and TPWKY listener Sarah Zoucha to help us

1:24:05.360 --> 1:24:08.400
<v Speaker 4>answer some of these questions and to shine a light

1:24:08.520 --> 1:24:13.400
<v Speaker 4>on a sometimes very overlooked but crucial field in healthcare,

1:24:13.840 --> 1:24:18.280
<v Speaker 4>medical laboratory science. Will let Sarah introduce herself right after

1:24:18.280 --> 1:24:18.759
<v Speaker 4>this break.

1:24:44.160 --> 1:24:49.479
<v Speaker 5>Hi, I'm Sarah Zoucha. I'm a medical laboratory scientist. I

1:24:49.520 --> 1:24:53.639
<v Speaker 5>have been working in the field for about twelve years.

1:24:54.479 --> 1:24:59.599
<v Speaker 5>I'm ASCP certified as a generalist, which means I can

1:24:59.640 --> 1:25:08.080
<v Speaker 5>work in all areas of the clinical laboratory, including blood bank, hematology, chemistry,

1:25:09.000 --> 1:25:13.400
<v Speaker 5>and microbiology, which is my primary focus and where I

1:25:13.600 --> 1:25:17.919
<v Speaker 5>have been working for the past ten or so years.

1:25:19.720 --> 1:25:23.000
<v Speaker 2>Awesome, thank you so much for being here. Can you

1:25:23.080 --> 1:25:26.479
<v Speaker 2>walk me through what happens in food borne illness testing

1:25:26.600 --> 1:25:30.200
<v Speaker 2>in general, like what's the process from the doctor's office

1:25:30.240 --> 1:25:33.600
<v Speaker 2>to test results and what are the other common pathogens

1:25:33.600 --> 1:25:34.320
<v Speaker 2>that you look for.

1:25:35.600 --> 1:25:39.080
<v Speaker 5>In any kind of laboratory testing, there are three phases.

1:25:39.160 --> 1:25:42.920
<v Speaker 5>There's the pre analytic phase, which is what happens with

1:25:43.000 --> 1:25:46.960
<v Speaker 5>the specimen before it gets to the lab, the analytic phase,

1:25:47.040 --> 1:25:50.519
<v Speaker 5>which would be the actual laboratory testing, and then the

1:25:50.520 --> 1:25:55.360
<v Speaker 5>post analytical phase. So starting in the pre analytic phase,

1:25:55.479 --> 1:25:58.640
<v Speaker 5>that's you know, when the patient goes to the doctor,

1:25:58.920 --> 1:26:02.360
<v Speaker 5>they're not feeling well well, and the doctor will be

1:26:02.439 --> 1:26:08.559
<v Speaker 5>asking about patient symptoms when they began, what their symptoms are.

1:26:09.400 --> 1:26:13.360
<v Speaker 5>Specifically if they're suspecting a food born illness, of course,

1:26:14.200 --> 1:26:19.679
<v Speaker 5>where did they eat, what did they eat, any travel history,

1:26:20.439 --> 1:26:23.840
<v Speaker 5>things like that. The next thing they will do is

1:26:23.880 --> 1:26:27.759
<v Speaker 5>they'll collect the specimen from the patient, so the doctor

1:26:27.800 --> 1:26:30.120
<v Speaker 5>will give the patient everything that they need to do

1:26:30.240 --> 1:26:33.800
<v Speaker 5>that and in the case of food born testing, they're

1:26:33.840 --> 1:26:37.639
<v Speaker 5>going to need a stool sample. So the analytical phase

1:26:37.680 --> 1:26:40.679
<v Speaker 5>of testing is when the specimen is actually received into

1:26:40.680 --> 1:26:45.000
<v Speaker 5>the labs, So the specimen is processed for testing, and

1:26:45.439 --> 1:26:48.000
<v Speaker 5>there's a couple of different ways that this can be done.

1:26:48.840 --> 1:26:51.720
<v Speaker 5>Right now, a lot of labs are moving to a

1:26:51.920 --> 1:26:58.040
<v Speaker 5>more rapid kind of testing versus traditional culture. In traditional culture,

1:26:59.280 --> 1:27:02.440
<v Speaker 5>you have to weigh twenty four hours for the bacteria

1:27:02.520 --> 1:27:06.000
<v Speaker 5>to grow before you can really do anything with it.

1:27:06.520 --> 1:27:09.759
<v Speaker 5>With the new molecular test, it's a panel that will

1:27:10.200 --> 1:27:14.679
<v Speaker 5>test for the most likely suspects in food borne illness,

1:27:14.760 --> 1:27:17.840
<v Speaker 5>so it will give you a preliminary result right away,

1:27:17.920 --> 1:27:21.880
<v Speaker 5>so the doctor kind of has a heads up the

1:27:22.040 --> 1:27:26.040
<v Speaker 5>day that the specimen is received into the lab, and

1:27:26.160 --> 1:27:35.320
<v Speaker 5>these panels typically test for Salmonella, Shigella E. Coli, Arimonas, Plisiomonis,

1:27:36.439 --> 1:27:44.240
<v Speaker 5>Vibrio campilobacter, and your sinea Ento kalitica. You can also

1:27:44.280 --> 1:27:49.759
<v Speaker 5>get expanded panels for other things like parasites and certain

1:27:49.880 --> 1:27:56.120
<v Speaker 5>viruses that may cause gastrointestinal discomfort, depending upon you know

1:27:56.200 --> 1:28:03.320
<v Speaker 5>the hospital and what they determine needs are. So once

1:28:03.920 --> 1:28:08.040
<v Speaker 5>this molecular panel is run, if there is something that

1:28:08.160 --> 1:28:12.519
<v Speaker 5>is identified in this panel, what will then happen is

1:28:12.560 --> 1:28:17.880
<v Speaker 5>that specimen is cultured out and grown in traditional bacterial

1:28:17.960 --> 1:28:22.160
<v Speaker 5>culture for confirmation, and then this is done by different

1:28:22.640 --> 1:28:31.040
<v Speaker 5>biochemical testing and other commercial laboratory instrumentation that will confirm

1:28:31.120 --> 1:28:37.439
<v Speaker 5>the ID. Once this bacteria is identified, then it is

1:28:37.479 --> 1:28:44.040
<v Speaker 5>typically sent out to the local Department of Health or

1:28:44.080 --> 1:28:48.360
<v Speaker 5>other state reporting agencies so they can do kind of

1:28:48.400 --> 1:28:53.240
<v Speaker 5>their follow investigation, and then this kind of leads us

1:28:53.280 --> 1:28:57.240
<v Speaker 5>into the last phase, which is post analytical, where the

1:28:57.280 --> 1:29:01.200
<v Speaker 5>results are reported out to the patient's chart, called to

1:29:01.240 --> 1:29:05.639
<v Speaker 5>the clinician if it's considered a critical value, and then

1:29:05.760 --> 1:29:11.960
<v Speaker 5>any contact tracing or patient follow up is performed.

1:29:12.280 --> 1:29:15.360
<v Speaker 2>So with cases of food poisoning, you have your usual

1:29:15.360 --> 1:29:18.719
<v Speaker 2>suspects that you're looking for, But what if you don't

1:29:18.760 --> 1:29:21.720
<v Speaker 2>know exactly what you might be looking for in a

1:29:21.760 --> 1:29:24.800
<v Speaker 2>suspected infection, Like where do you start your search in

1:29:24.840 --> 1:29:25.360
<v Speaker 2>that case?

1:29:26.680 --> 1:29:30.599
<v Speaker 5>Actually, how it works is we're supposed to be totally

1:29:30.640 --> 1:29:33.400
<v Speaker 5>blind when we have a sample come into the lab.

1:29:34.479 --> 1:29:39.200
<v Speaker 5>We're not supposed to really know too much about the

1:29:39.320 --> 1:29:43.840
<v Speaker 5>patient in their history because that can bias the results.

1:29:43.880 --> 1:29:47.320
<v Speaker 5>So when the specimen comes into the lab, all we

1:29:47.479 --> 1:29:50.759
<v Speaker 5>know is that the doctor wants this kind of test.

1:29:51.120 --> 1:29:55.360
<v Speaker 5>So like in the case of suspected food borne illness,

1:29:55.680 --> 1:29:59.439
<v Speaker 5>they're just going to send a stool culture. So we

1:29:59.520 --> 1:30:03.439
<v Speaker 5>would just set up the testing and basically we have

1:30:03.680 --> 1:30:07.200
<v Speaker 5>a list of what we're looking for and we're ruling

1:30:07.280 --> 1:30:12.639
<v Speaker 5>everything out. If the culture is negative, we're gonna send

1:30:12.640 --> 1:30:17.280
<v Speaker 5>out those results. But if the doctor does suspect that

1:30:17.320 --> 1:30:21.160
<v Speaker 5>there is still something going on, then that's when they

1:30:21.200 --> 1:30:25.400
<v Speaker 5>would order more testing. So like they would know, Okay,

1:30:26.720 --> 1:30:31.040
<v Speaker 5>this patient is exhibiting GI symptoms. It's not bacterial. Well,

1:30:31.080 --> 1:30:34.200
<v Speaker 5>maybe it's viral, so let me order a viral panel.

1:30:34.720 --> 1:30:37.720
<v Speaker 5>You know. If that's negative, then they'll be like, all right, parasitic,

1:30:37.920 --> 1:30:40.639
<v Speaker 5>let me order an OVA and parasite panel.

1:30:42.000 --> 1:30:42.280
<v Speaker 2>You know.

1:30:42.360 --> 1:30:45.720
<v Speaker 5>So it's really up to the doctor to kind of

1:30:45.800 --> 1:30:52.479
<v Speaker 5>make that determination. We in the lab aren't really authorized

1:30:52.880 --> 1:30:58.439
<v Speaker 5>to order testing. Is that constitutes treatment and diagnosis, which

1:30:58.520 --> 1:31:02.280
<v Speaker 5>is out of our skull. The only time we're able

1:31:02.360 --> 1:31:07.080
<v Speaker 5>to order extra testing to rule things out is if

1:31:07.120 --> 1:31:12.479
<v Speaker 5>it's something that's predetermined by the medical director and the

1:31:12.720 --> 1:31:17.440
<v Speaker 5>clinician team, where a test would automatically reflux.

1:31:19.160 --> 1:31:22.920
<v Speaker 2>As a medical laboratory scientist or a technician, what are

1:31:22.960 --> 1:31:25.559
<v Speaker 2>some of the places you can work and what does

1:31:25.600 --> 1:31:28.439
<v Speaker 2>the current job market look like for these careers?

1:31:29.680 --> 1:31:33.599
<v Speaker 5>So the current job market is super excellent right now,

1:31:34.160 --> 1:31:38.599
<v Speaker 5>there is a severe shortage. I went on the Bureau

1:31:38.640 --> 1:31:44.760
<v Speaker 5>of Labor Statistics to find out how short we actually are. So,

1:31:44.920 --> 1:31:49.400
<v Speaker 5>according to the Bureau of Labor Statistics, job growth between

1:31:49.560 --> 1:31:53.840
<v Speaker 5>twenty twenty and twenty thirty is eleven percent faster than

1:31:53.880 --> 1:31:58.559
<v Speaker 5>the national average for most other jobs. What's going on

1:31:58.680 --> 1:32:02.559
<v Speaker 5>right now? If you graduate, wait from college, you can

1:32:03.280 --> 1:32:07.400
<v Speaker 5>get a job anywhere, like anywhere you want, any city,

1:32:08.520 --> 1:32:15.120
<v Speaker 5>any hospital. I mean, everybody is hiring. So some of

1:32:15.160 --> 1:32:20.760
<v Speaker 5>the places that people normally work, hospital labs are the

1:32:20.840 --> 1:32:26.320
<v Speaker 5>most common, but also there's reference labs like lab core

1:32:26.600 --> 1:32:31.519
<v Speaker 5>quest a RUP. A lot of times doctors' offices or

1:32:31.640 --> 1:32:38.240
<v Speaker 5>urgent cares will employ an MLS to run their small

1:32:38.640 --> 1:32:43.840
<v Speaker 5>in house laboratory point of care, which point of care

1:32:43.960 --> 1:32:48.599
<v Speaker 5>is kind of maintaining the devices that the nurses would

1:32:48.720 --> 1:32:54.320
<v Speaker 5>use at a patient's bedside, like glucometers. Public health labs,

1:32:54.600 --> 1:33:02.600
<v Speaker 5>pharmaceutical companies, medical device companies, in research are other areas

1:33:03.120 --> 1:33:09.400
<v Speaker 5>that do employed clinical laboratory or medical laboratory scientists. However,

1:33:09.479 --> 1:33:14.680
<v Speaker 5>I feel like those are little bit less popular and

1:33:14.880 --> 1:33:18.920
<v Speaker 5>also harder to get a job in those industries.

1:33:21.240 --> 1:33:24.960
<v Speaker 2>What is the most unusual sample you've ever worked with?

1:33:26.360 --> 1:33:31.840
<v Speaker 5>The most unusual sample I've ever worked with probably any

1:33:32.000 --> 1:33:37.200
<v Speaker 5>like amputated body part. When you're testing something like that,

1:33:37.360 --> 1:33:41.120
<v Speaker 5>you're generally it's a tissue culture. Like let's say somebody

1:33:41.200 --> 1:33:44.080
<v Speaker 5>has gain green, and so you know, you're trying to

1:33:44.080 --> 1:33:47.759
<v Speaker 5>figure out the cause of the infection. So what's really

1:33:47.840 --> 1:33:51.920
<v Speaker 5>supposed to happen. The doctor's supposed to cut off a

1:33:52.040 --> 1:33:56.360
<v Speaker 5>piece of the tissue and deliver it to the lab

1:33:56.479 --> 1:34:00.599
<v Speaker 5>that way. But there's been times where it's remember one

1:34:00.640 --> 1:34:03.600
<v Speaker 5>time we got something that was like a tupperware container

1:34:03.760 --> 1:34:06.000
<v Speaker 5>and I open it up and it's like half a

1:34:06.040 --> 1:34:13.240
<v Speaker 5>foot and you know, we've gotten fingers, we've gotten tips

1:34:13.280 --> 1:34:24.760
<v Speaker 5>of penises. Yeah, so those would be yeah, some of

1:34:25.000 --> 1:34:28.840
<v Speaker 5>probably like my more memorable ones where I'm just like,

1:34:28.920 --> 1:34:30.400
<v Speaker 5>did they really just do that?

1:34:32.600 --> 1:34:37.880
<v Speaker 2>My goodness, I really cannot get over it.

1:34:38.040 --> 1:34:43.960
<v Speaker 4>That is amazing, amazing and hilarious. Thank you so much,

1:34:44.000 --> 1:34:45.519
<v Speaker 4>Sarah for taking the time to chat.

1:34:45.800 --> 1:34:50.960
<v Speaker 2>Yes, thank you. Well, uh, should we do sources?

1:34:51.360 --> 1:34:52.519
<v Speaker 3>Sources? Definitely?

1:34:53.600 --> 1:34:56.519
<v Speaker 2>I will shout out a few. There were a couple

1:34:56.520 --> 1:34:59.760
<v Speaker 2>of papers by Hardy, one from nineteen ninety nine, one

1:34:59.800 --> 1:35:01.720
<v Speaker 2>from two thousand and three that kind of looked at

1:35:01.720 --> 1:35:05.599
<v Speaker 2>this bigger picture of salmonella and the way that like

1:35:05.680 --> 1:35:11.479
<v Speaker 2>food production changed, and of course the documentary Wild Wild Country.

1:35:12.360 --> 1:35:15.360
<v Speaker 4>I had a number of papers if you want to

1:35:15.439 --> 1:35:19.800
<v Speaker 4>know more about the differences in the epidemiology of.

1:35:19.720 --> 1:35:20.599
<v Speaker 3>The zero of VARs.

1:35:20.840 --> 1:35:23.880
<v Speaker 4>There was a paper in Applied in Environmental Microbiology from

1:35:24.040 --> 1:35:26.519
<v Speaker 4>twenty nineteen that went into a lot of detail on it.

1:35:27.160 --> 1:35:30.519
<v Speaker 4>I really enjoyed a paper from Frontiers in Microbiology twenty

1:35:30.560 --> 1:35:34.920
<v Speaker 4>fourteen that was like comparing and contrasting typhoidal and non

1:35:34.960 --> 1:35:36.799
<v Speaker 4>typhoidal Salmonella sero VARs.

1:35:37.280 --> 1:35:37.960
<v Speaker 3>There was a.

1:35:37.920 --> 1:35:40.200
<v Speaker 4>Bunch of really good ones and I will also link

1:35:40.240 --> 1:35:42.320
<v Speaker 4>to that pro public article if you want to read

1:35:42.400 --> 1:35:47.439
<v Speaker 4>more about that outbreak that happened in the US recently.

1:35:48.439 --> 1:35:52.360
<v Speaker 2>Thank you again so much, Beth for sharing your story.

1:35:53.080 --> 1:35:54.280
<v Speaker 2>We really appreciate it.

1:35:54.560 --> 1:35:54.920
<v Speaker 3>Thank you.

1:35:55.800 --> 1:35:58.240
<v Speaker 4>Thank you also to Bloodmobile for providing the music for

1:35:58.320 --> 1:36:00.000
<v Speaker 4>this episode and all of our episode.

1:36:00.960 --> 1:36:03.960
<v Speaker 2>And thank you to you listeners. We hope that you

1:36:04.680 --> 1:36:06.599
<v Speaker 2>enjoyed this poopy episode.

1:36:06.600 --> 1:36:12.880
<v Speaker 6>Whoope episode Yeah, it wasn't actually that poopy, It actually

1:36:13.000 --> 1:36:16.680
<v Speaker 6>wasn't yea. And a special thank you to our patrons.

1:36:17.439 --> 1:36:19.080
<v Speaker 3>We love you, We love you.

1:36:19.880 --> 1:36:24.840
<v Speaker 2>Okay, Well until next week, my gosh, please wash your

1:36:24.920 --> 1:36:30.280
<v Speaker 2>hands and your fruits and vegetables and us a thermometer.

1:36:29.920 --> 1:36:32.240
<v Speaker 4>And your knives and your cutting boards and your kitchen

1:36:32.280 --> 1:36:36.760
<v Speaker 4>counters and your what do you do about sponges you,

1:36:36.880 --> 1:36:37.840
<v Speaker 4>filthy animals.

1:37:01.560 --> 1:37:01.600
<v Speaker 1>E