WEBVTT - Ep 121 Tularemia: Hare today, gone tomorrow

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<v Speaker 1>Ef Mail, age forty nine, physician, began investigations of tularemia

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<v Speaker 1>in Delta, Utah, July twenty third, nineteen nineteen. His exposure

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<v Speaker 1>differs from the other cases to be reported in that,

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<v Speaker 1>in addition to exposure to laboratory animals, he took blood

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<v Speaker 1>and puss on two occasions from a human case, which

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<v Speaker 1>terminated fatally. On the thirtieth day of his investigation, August

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<v Speaker 1>twenty third, nineteen nineteen, Ef became ill in the late afternoon,

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<v Speaker 1>feeling tired and weak and having a temperature of one

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<v Speaker 1>hundred two point two degrees. His fever continued until the

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<v Speaker 1>twenty fourth day. During the first twelve days of his illness,

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<v Speaker 1>he packed up his laboratory equipment and animals in Utah

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<v Speaker 1>with great difficulty and proceeded with them to Washington, d c. And,

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<v Speaker 1>after his arrival made a futile attempt to continue work.

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<v Speaker 1>The next fourteen days he spent in the hospital, lying

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<v Speaker 1>on the bed, but not confined to the bed. The

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<v Speaker 1>departure of the patient from the hospital on the twenty

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<v Speaker 1>eighth day was attended with some forced exercise, which resulted

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<v Speaker 1>in a secondary rise of temperature which lasted four days

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<v Speaker 1>after which it remained normal. The second month was spent

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<v Speaker 1>in a hotel, lying on the bed most of the time.

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<v Speaker 1>The third month was one of slow convalescence. Throughout the illness,

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<v Speaker 1>there was an absence of localized pain or tenderness, except

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<v Speaker 1>that on the sixteenth day of illness, a sore throat

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<v Speaker 1>developed on the right side. Practically the only complaint was

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<v Speaker 1>that of languor or weakness and a desire to remain

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<v Speaker 1>quiet on the bed.

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<v Speaker 2>Gosh, well, yeah, long, I know, it's such a long

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<v Speaker 2>and then if you kept reading this paper, there were like, oh,

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<v Speaker 2>and then when it recurred or whatever, relapsed or.

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<v Speaker 3>I don't know what what the technical term is for it,

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<v Speaker 3>for tularimia, but yeah. But the thing that I really

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<v Speaker 3>like about this first hand account is that the initials

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<v Speaker 3>e F that stands for Edward Francis as a Francis. Wow.

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<v Speaker 3>Oh poor guy. I know, I know. And it took

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<v Speaker 3>him like a long time, apparently, according to one paper

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<v Speaker 3>I read to realize that this was tularimia, that what

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<v Speaker 3>he was experiencing was tularimia. But then in retrospect, it

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<v Speaker 3>was like, oh, yeah, and then he tested his blood

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<v Speaker 3>and the blood of several other laboratory workers and found

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<v Speaker 3>that indeed it was your toularimia. Oh my gosh. Yeah,

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<v Speaker 3>so that was from a paper that he and a

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<v Speaker 3>colleague wrote in nineteen twenty two. Wow. Yeah, Hi, I'm

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<v Speaker 3>Aaron Welsh and I'm Erin Alman Updyke and this is

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<v Speaker 3>this podcast Will Kill You.

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<v Speaker 1>And today we're talking about tularimia.

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<v Speaker 3>Yeah, this is kind of a classic one, I would say.

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<v Speaker 3>My guess is that a lot of people have never

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<v Speaker 3>heard of it, which is interesting because I knew the

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<v Speaker 3>name tularimia and then I had this vague association with

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<v Speaker 3>rabbits in my head and that was it. But there

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<v Speaker 3>is so much more I know you this.

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<v Speaker 1>And it's such a big name in terms of public

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<v Speaker 1>health because it is, you know, a potential agent of

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<v Speaker 1>bioterrorism and all. So yeah, it's it's very interesting that

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<v Speaker 1>I also knew very little about it, and I think.

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<v Speaker 3>There's probably a lot of people who've never even heard

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<v Speaker 3>of it. Yeah, and by the end of this episode

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<v Speaker 3>you'll be going, how did I not know about them?

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<v Speaker 3>I hope? So that's the goal. Yeah, Okay, but let's

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<v Speaker 3>let's get into the episode, you know, starting with quarantin

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<v Speaker 3>any time, quarantine anytime. What are we drinking this week?

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<v Speaker 1>We're drinking a drople do you We are.

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<v Speaker 3>So named because the infectious dose is like ten to

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<v Speaker 3>fifty individual bacteria. Yeah, ten bacteria. It's what It's scary,

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<v Speaker 3>but the recipe is not. It is a very did

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<v Speaker 3>you like that segue? Yeah? I sure did, A very

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<v Speaker 3>delicious and fairly simple kind of take on a mohito

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<v Speaker 3>with watermelon and of course mint and lime, a little

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<v Speaker 3>bit of simple syrup and some vodka. This time instead

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<v Speaker 3>of rum right, not change it up.

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<v Speaker 1>We'll post the full recipe for that quarantini, as well

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<v Speaker 1>as our non alcoholic plus se Brita on our website,

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<v Speaker 1>This podcast will kill You dot com and our social media.

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<v Speaker 3>I liked that, thanks, And on our website you can

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<v Speaker 3>find all kinds of things, including, but not limited, certainly

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<v Speaker 3>because I don't have the website in front of me,

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<v Speaker 3>to things like our sources for each and every one

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<v Speaker 3>of our episodes, our transcripts, our merch links, links to

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<v Speaker 3>music by Bloodmobile, links to our bookshop, dot org affiliate account,

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<v Speaker 3>our Goodreads list, Patreon, more stuff.

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<v Speaker 1>Check it out, wonderfully, said Erin on that note, shall

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<v Speaker 1>we get start.

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<v Speaker 4>Let's do it right after this break.

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<v Speaker 1>Franciscella tolerensis is a gram negative, facultatively intracellular Coxobacillus bacterium,

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<v Speaker 1>and the causative agent, of course, of tulaimia. It turns

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<v Speaker 1>out that there are four subspecies of Francessella tolerensis subspecies

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<v Speaker 1>Toulrensis subspecies whole Arctica, media asiatica, and Novacida or Novasida.

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<v Speaker 3>That one I saw sometimes put in its own species

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<v Speaker 3>and sometimes a subspecies, and I was like, there's probably

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<v Speaker 3>some drama behind this, but there is some drama.

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<v Speaker 1>And from what I can tell, it was like in

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<v Speaker 1>two thousand and six they made it a subspecies, and

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<v Speaker 1>then twenty ten people were like, no way, it's its

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<v Speaker 1>own species. But then after that they're like, nana, it's

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<v Speaker 1>it's a subspecies. So that's how we'll call it. In

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<v Speaker 1>any case, we're not going to talk about that one

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<v Speaker 1>very much because it's only francis Ella to lorenzis subspecies Tularensis,

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<v Speaker 1>which is endemic to North America that is the most

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<v Speaker 1>virulent and the cause of the most severe disease, and

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<v Speaker 1>Holarctica is found throughout Eurasia. And in North America, and

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<v Speaker 1>is the other major subspecies of franciscella to lorenzis that

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<v Speaker 1>causes disease in humans. So those are the two subspect

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<v Speaker 1>that I'm going to be focused on. They're also sometimes

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<v Speaker 1>called type A and type B in the literature, but realistically,

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<v Speaker 1>I'm just going to be talking about francisselo toulorensis, or

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<v Speaker 1>I might even just say tulaimia for the rest of

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<v Speaker 1>this section.

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<v Speaker 3>Sounds good, great, So, like we said at the.

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<v Speaker 1>Top, erin I kind of knew that this was going

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<v Speaker 1>to be an interesting episode because I at least knew

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<v Speaker 1>that Tularemia was a potential agent of bioterrorism or a

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<v Speaker 1>potential bioweapon. But as I often do with this podcast,

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<v Speaker 1>I really underestimated just how interesting of a bacterium this is.

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<v Speaker 3>We're always underestimating how you would think I'm going by. Now.

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<v Speaker 1>Yeah, well let's get into it, shall we. So, like

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<v Speaker 1>I said off the top, this is a facultatively intracellular bacterium.

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<v Speaker 1>What that means is that it can live both freely

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<v Speaker 1>in the environment as well as live in and replicate

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<v Speaker 1>within other ie hosts cells. And we'll talk a little

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<v Speaker 1>bit more about that what sells it's replicating in in detail,

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<v Speaker 1>But as far as hosts go, this is a bacterium

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<v Speaker 1>that can infect hundreds of animal species, mammals and birds

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<v Speaker 1>and many different species of invertebrates which end up serving

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<v Speaker 1>as arthropod vectors.

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<v Speaker 3>It was giving me Shaga disease vibes in that.

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<v Speaker 1>Regard, Yeah, totally, totally, But even shagas disease, it's mostly

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<v Speaker 1>really just one vector, right, I mean exactly, yeah, multiple species,

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<v Speaker 1>but on one vector.

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<v Speaker 4>Yeah.

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<v Speaker 3>I Meanwhile, to lorensis is just like anytime anywhere, anything,

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<v Speaker 3>you know, let's make it happen.

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<v Speaker 1>So I am going to focus on what the disease

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<v Speaker 1>tulurimia looks like in humans and therefore how the life

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<v Speaker 1>cycle ends up spilling over into human populations, how we

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<v Speaker 1>get infected. But this is by no means primarily a

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<v Speaker 1>disease humans. It's fortunately quite a rare disease of humans

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<v Speaker 1>and primarily a zoonotic disease of many different wildlife species.

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<v Speaker 1>And like we mentioned early on France, Assella is also

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<v Speaker 1>highly infectious. So as I talk about how it gets

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<v Speaker 1>into us and does all of these party tricks, keep

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<v Speaker 1>in mind that as few as ten individual bacteria can

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<v Speaker 1>cause infection in humans.

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<v Speaker 3>Uh, did you just describe causing disease in humans as

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<v Speaker 3>party tricks? Yes? Is that not a party trick for

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<v Speaker 3>a bacteria? I guess technically, Yeah, look what I can do? Yeah,

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<v Speaker 3>look at me, mom. You know.

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<v Speaker 1>So, let's get into this nitty gritty of how this

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<v Speaker 1>bacterium lives its life, how it infects ourselves, and what

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<v Speaker 1>it actually looks like when we get sick to begin

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<v Speaker 1>the life cycle of france Assella to lorensis. It's a

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<v Speaker 1>little bit difficult because we don't fully know ecological niche

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<v Speaker 1>of this bacterium at all. We don't know the major

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<v Speaker 1>natural reservoir hosts or the major environments even that are

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<v Speaker 1>conducive to the growth of this bacterium. And keep in mind,

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<v Speaker 1>like I said, there are several different subspecies that can

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<v Speaker 1>all persist in the environment and live intracellularly inside of

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<v Speaker 1>host cells. Because it's a pretty difficult bacterium to grow

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<v Speaker 1>in the lab in culture, there is some thought that

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<v Speaker 1>perhaps in the environment it's not just persisting on its own,

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<v Speaker 1>maybe it's in a host like an amiba or a protozoa.

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<v Speaker 1>Who knows it's unclear, but it can infect and be

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<v Speaker 1>a pathogen of a whole bunch of different animal species.

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<v Speaker 1>One paper I read said over two fifty other papers

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<v Speaker 1>said over one hundred and ninety, So like a lot

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<v Speaker 1>of animals, a lot including mammals and birds and arthropods.

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<v Speaker 3>Which is amazing. I like just the different Like how

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<v Speaker 3>diverse the animal species are right, That this spacterium can infect.

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<v Speaker 1>All of our different cell types, different immune systems that

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<v Speaker 1>it's having to evade, it's really impressive. Yeah, when it

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<v Speaker 1>comes to spillover from animals into humans, the two biggest

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<v Speaker 1>groups of animals that are commonly found infected and thought

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<v Speaker 1>to be kind of like the culprits of spillovers are lagomorphs,

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<v Speaker 1>so rabbits and hares, and rodents, so things like mice

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<v Speaker 1>and rats, but also prairie dogs, voles, even aquatic rodents

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<v Speaker 1>like muskrats and beavers and things. And I had to

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<v Speaker 1>look up to make sure that all of these things

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<v Speaker 1>were really rodents. What a diverse group the rodents are, really, truly, Yeah,

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<v Speaker 1>but in many of these species, this bacterium seems to

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<v Speaker 1>cause an acute infection and make all of these animals

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<v Speaker 1>quite sick. So it's perhaps less likely that any of

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<v Speaker 1>these species that we commonly find Francissella toulrensis in are

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<v Speaker 1>actually the natural reservoir host in the environment, So we

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<v Speaker 1>don't really know. But then how do we actually get exposed?

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<v Speaker 1>If these are the animals getting infected, we should at

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<v Speaker 1>least have an answer for how humans get sick, And

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<v Speaker 1>it turns out that that's more complicated too. Of course,

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<v Speaker 1>it is like we alluded to already, Francissella toulrensis has

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<v Speaker 1>been shown to be transmitted not by one or two

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<v Speaker 1>or three, but many different arthropod vectors. And by that

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<v Speaker 1>I mean it can be transmitted by ticks a whole

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<v Speaker 1>bunch of different species, horse flies or to bannids a

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<v Speaker 1>bunch of different species, and mosquitoes a whole bunch of

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<v Speaker 1>different species.

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<v Speaker 3>Normally, when we talk about.

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<v Speaker 1>Vector borne diseases on this podcast, I have this whole

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<v Speaker 1>section on the life cycle of the pathogen in the vector. Right,

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<v Speaker 1>we go over, a mosquito sucks up can staminated blood.

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<v Speaker 1>The pathogen travels through the guts, bursts out, goes to

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<v Speaker 1>the salivary glands. The mosquito bites another host and injects

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<v Speaker 1>the pathogen. Blah blah blah. That's how most vector born

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<v Speaker 1>diseases work with whatever species or few species that are

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<v Speaker 1>able to serve as vectors.

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<v Speaker 3>But this is not that are there different vectorial capabilities

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<v Speaker 3>among these different vector species? Like are some mosquitoes better

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<v Speaker 3>than others? I'm sure that there are probably differences between

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<v Speaker 3>the two subspecies of Tularensis of human health importance. Yeah, yeah,

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<v Speaker 3>great question. Who knows.

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<v Speaker 1>So Different geographical regions do have different arthropods that seem

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<v Speaker 1>to serve as the primary vector. For example, in Russia

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<v Speaker 1>and Finland and Sweden it's mostly various species of mosquito.

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<v Speaker 1>Throughout most the rest of Europe it's thought to be

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<v Speaker 1>primarily tabanids, so horseflies and ticks, and in the US

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<v Speaker 1>there are a few species of tick and tabanids that

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<v Speaker 1>seem to be the primary vectors. It's not strictly based

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<v Speaker 1>on just which subspecies of franciscella to Lorenzis we're talking about,

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<v Speaker 1>since in Europe we really only see subspecies Holarctica. And

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<v Speaker 1>North America we see both Holarctica and Toulrensis, as well

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<v Speaker 1>as a little bit of the other ones that are

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<v Speaker 1>less important for human infections. But what's really interesting is

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<v Speaker 1>that when it comes to the life cycle of Francissella

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<v Speaker 1>in these arthropods. From one paper that I read, they

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<v Speaker 1>noted that it has never been demonstrated that this bacterium

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<v Speaker 1>is found in the salivary glands of any arthropod, and

0:15:51.200 --> 0:15:54.960
<v Speaker 1>so it's thought that maybe the spread is just mechanical.

0:15:55.160 --> 0:15:58.480
<v Speaker 1>You have mouth parts becoming infected when a fly or

0:15:58.520 --> 0:16:06.240
<v Speaker 1>a mosquito bites, but ticks are found infected throughout their

0:16:06.320 --> 0:16:10.320
<v Speaker 1>life cycle. So if a tick gets infected as a larva,

0:16:10.960 --> 0:16:13.840
<v Speaker 1>they remain infected as they become a nymph and an adult,

0:16:14.160 --> 0:16:16.880
<v Speaker 1>et cetera. And we really have very little data on

0:16:17.480 --> 0:16:20.400
<v Speaker 1>what is going on in these ticks, which ticks are

0:16:20.400 --> 0:16:23.920
<v Speaker 1>really the best vectors, and all of that we just

0:16:24.200 --> 0:16:30.200
<v Speaker 1>simply don't know. Because here's the thing, transmission doesn't stop there.

0:16:31.560 --> 0:16:36.320
<v Speaker 1>Vector born transmission is one way that people can become infected,

0:16:37.000 --> 0:16:41.720
<v Speaker 1>but human infection with tulurimia is also associated with waterborne

0:16:41.720 --> 0:16:46.880
<v Speaker 1>transmission from contaminated water sources, and perhaps the scariest and

0:16:46.960 --> 0:16:51.720
<v Speaker 1>most severe possible route of transmission is aerosolized bacteria that

0:16:51.800 --> 0:16:56.600
<v Speaker 1>we inhale, and this can come from contaminated soil or grasses,

0:16:56.720 --> 0:17:00.760
<v Speaker 1>or even directly from animal carcasses that were infected it themselves.

0:17:01.840 --> 0:17:05.679
<v Speaker 1>This is the way that makes francissela to lorensis a

0:17:05.720 --> 0:17:10.280
<v Speaker 1>potential bioweapon agent that combined with the very low infectious dose.

0:17:11.040 --> 0:17:15.320
<v Speaker 3>Right, do we know how long francisla to lorensis is?

0:17:15.840 --> 0:17:15.919
<v Speaker 4>Like?

0:17:15.960 --> 0:17:18.000
<v Speaker 3>How durable is it in the environment?

0:17:18.320 --> 0:17:21.440
<v Speaker 1>Excellent question. It's been isolated. I love when you ask

0:17:21.480 --> 0:17:23.560
<v Speaker 1>a question that I actually have the answer.

0:17:23.200 --> 0:17:24.000
<v Speaker 3>For it right away.

0:17:24.040 --> 0:17:28.800
<v Speaker 1>It's like that rarely happens, So love it. It's been

0:17:28.840 --> 0:17:32.359
<v Speaker 1>isolated from water and mud that has been stored like

0:17:32.400 --> 0:17:35.879
<v Speaker 1>in laboratory conditions in a fridge, nice and cold, for

0:17:36.000 --> 0:17:38.920
<v Speaker 1>up to fourteen weeks, so pretty long time.

0:17:39.560 --> 0:17:40.399
<v Speaker 3>Yeah, it's been.

0:17:40.280 --> 0:17:44.919
<v Speaker 1>Isolated from tap water after three months and then in

0:17:45.000 --> 0:17:46.640
<v Speaker 1>like dry straw.

0:17:46.320 --> 0:17:50.440
<v Speaker 3>For six months. My it's a long time.

0:17:52.240 --> 0:17:56.280
<v Speaker 1>It's unclear how long it might persist under real environmental conditions,

0:17:56.320 --> 0:18:01.320
<v Speaker 1>like not ideal conditions, especially in the world health organizations.

0:18:01.600 --> 0:18:04.359
<v Speaker 1>Estimates of what would happen in the case of a

0:18:04.359 --> 0:18:08.879
<v Speaker 1>bioterrorism attack where you're just aerosolizing dried bacteria and spreading it,

0:18:09.119 --> 0:18:11.800
<v Speaker 1>then you'd probably have a lot more like UV decay,

0:18:11.920 --> 0:18:15.640
<v Speaker 1>and things wouldn't probably persist quite as long, is the thought.

0:18:16.000 --> 0:18:20.280
<v Speaker 3>Hmmmm, we don't know really, So that is that is

0:18:20.480 --> 0:18:24.360
<v Speaker 3>definitely an interesting thing in the column of mechanical transmission

0:18:24.520 --> 0:18:27.320
<v Speaker 3>for non tick arthropod vectors.

0:18:27.720 --> 0:18:32.680
<v Speaker 1>Yeah, it's maybe. There's also been suggested that maybe it's

0:18:32.920 --> 0:18:37.400
<v Speaker 1>water that becomes contaminated and that's a reservoir where flies

0:18:37.480 --> 0:18:41.440
<v Speaker 1>and especially mosquitoes during their larval stage could become infected,

0:18:41.520 --> 0:18:42.920
<v Speaker 1>so not necessarily from.

0:18:42.760 --> 0:18:43.760
<v Speaker 3>Biting a host.

0:18:45.080 --> 0:18:47.280
<v Speaker 1>But we really just don't know, and so there's a

0:18:47.320 --> 0:18:48.600
<v Speaker 1>lot of these different theories.

0:18:49.400 --> 0:18:52.919
<v Speaker 3>What route of transmission is the most common or like

0:18:53.000 --> 0:18:56.080
<v Speaker 3>how does that how is that pie sliced? That's such

0:18:56.119 --> 0:18:56.879
<v Speaker 3>a good question.

0:18:57.720 --> 0:19:02.720
<v Speaker 1>I don't really know because surprisingly the epidemiological data that

0:19:02.800 --> 0:19:08.600
<v Speaker 1>I found didn't really break out infections by different type.

0:19:08.640 --> 0:19:12.120
<v Speaker 1>As we'll see, there's different symptoms that you see depending

0:19:12.119 --> 0:19:15.359
<v Speaker 1>on the root of transmission. One paper that I read

0:19:15.440 --> 0:19:20.080
<v Speaker 1>suggested that the form that you see after vectoral transmission,

0:19:20.440 --> 0:19:24.760
<v Speaker 1>or like direct contact with a mucous membrane or like

0:19:24.800 --> 0:19:28.600
<v Speaker 1>a wound, say, which would be a very similar route

0:19:28.680 --> 0:19:31.680
<v Speaker 1>of transmission from like an infected animal through the skin

0:19:31.760 --> 0:19:34.800
<v Speaker 1>through a break in the skin, that that might account

0:19:34.840 --> 0:19:37.720
<v Speaker 1>for up to ninety percent of cases, but I didn't

0:19:37.720 --> 0:19:40.400
<v Speaker 1>see that number reported in very many papers, so.

0:19:40.400 --> 0:19:42.639
<v Speaker 3>I'm not sure. Interesting.

0:19:43.640 --> 0:19:49.240
<v Speaker 1>Yep, Honestly, almost the only way that this is not transmitted,

0:19:49.400 --> 0:19:52.359
<v Speaker 1>and this is a good thing, is directly person to person.

0:19:52.480 --> 0:19:55.840
<v Speaker 1>So human to human transmission is incredibly rare, if not

0:19:56.119 --> 0:19:58.600
<v Speaker 1>entirely non existent, which is very good.

0:19:59.080 --> 0:19:59.399
<v Speaker 3>Yeah.

0:19:59.600 --> 0:20:04.520
<v Speaker 1>Yeah, imagine it would be terrifying, absolutely terrifying. So once

0:20:04.560 --> 0:20:10.080
<v Speaker 1>we are exposed again to even incredibly low bacterial lodes.

0:20:10.800 --> 0:20:17.800
<v Speaker 1>Francissella tularensis exists mostly intracellularly, and it predominantly infects our macrophages,

0:20:18.000 --> 0:20:21.479
<v Speaker 1>which are white blood cells. But it is capable of

0:20:21.520 --> 0:20:24.959
<v Speaker 1>infecting a really wide range of cell types, both in

0:20:25.080 --> 0:20:28.320
<v Speaker 1>animals as well as in humans, which kind of makes

0:20:28.359 --> 0:20:30.960
<v Speaker 1>sense when we think about just how many animals it's

0:20:31.000 --> 0:20:32.960
<v Speaker 1>infecting overall. It's just really versatile.

0:20:33.080 --> 0:20:35.639
<v Speaker 3>Yeah, but like, how like how is it so good

0:20:35.800 --> 0:20:40.960
<v Speaker 3>at doing this when then most other bacteria are not. Yeah,

0:20:41.080 --> 0:20:45.239
<v Speaker 3>great question. Do you want to guess my answer? We

0:20:45.320 --> 0:20:49.600
<v Speaker 3>don't know. We know some things, Okay.

0:20:51.000 --> 0:20:54.600
<v Speaker 1>Part of what they do is they disrupt what's called

0:20:54.680 --> 0:20:59.120
<v Speaker 1>the phagosome. And so this is when something like a macrophage,

0:20:59.200 --> 0:21:04.720
<v Speaker 1>especially in gulfs, a bacterium in order to try and

0:21:05.160 --> 0:21:08.960
<v Speaker 1>you know, our immune response get rid of these bacteria

0:21:09.000 --> 0:21:12.040
<v Speaker 1>or other substances that are potentially pathogenic or just non

0:21:12.160 --> 0:21:16.960
<v Speaker 1>self they form this structure called the phagosome. It's just

0:21:17.240 --> 0:21:21.480
<v Speaker 1>like phase means eat, right. So what franciscella to lorensis

0:21:21.520 --> 0:21:24.480
<v Speaker 1>is able to do is kind of like stabilize this

0:21:24.560 --> 0:21:29.680
<v Speaker 1>phagosome initially prevent it from doing its normal thing of

0:21:30.119 --> 0:21:36.560
<v Speaker 1>killing those bacteria, and then escape and replicate in the cytoplasm.

0:21:37.400 --> 0:21:40.720
<v Speaker 1>While we don't fully understand all the mechanisms by which

0:21:40.760 --> 0:21:45.560
<v Speaker 1>they do this, it's not entirely uncommon compared to other

0:21:45.640 --> 0:21:50.399
<v Speaker 1>intracellular bacteria. A lot of other intracellular bacteria are able

0:21:50.440 --> 0:21:51.960
<v Speaker 1>to do kind of similar things.

0:21:52.920 --> 0:21:53.840
<v Speaker 3>One thing that's.

0:21:53.800 --> 0:21:58.560
<v Speaker 1>Interesting and cool about Francescella to lorensis is that after

0:21:59.320 --> 0:22:02.920
<v Speaker 1>they've you know, burst out of the fagosome replicated a

0:22:02.960 --> 0:22:08.240
<v Speaker 1>whole bunch in the cytoplasm, they then induce apoptosis aka

0:22:08.400 --> 0:22:12.440
<v Speaker 1>cell death in the cells that they've infected, which allows

0:22:12.480 --> 0:22:15.359
<v Speaker 1>for them to be released go throughout the body and

0:22:15.400 --> 0:22:20.200
<v Speaker 1>infect for their cells virus style exactly, and the exact

0:22:20.280 --> 0:22:24.479
<v Speaker 1>mechanism by which they induce this cell death we don't know,

0:22:24.760 --> 0:22:28.520
<v Speaker 1>but it does seem to be unique to francissella to lorensis,

0:22:28.880 --> 0:22:36.360
<v Speaker 1>meaning it's a different method than other intracellular pathogens like Coxiella, legionella, salmonella.

0:22:35.800 --> 0:22:36.320
<v Speaker 3>Et cetera.

0:22:37.240 --> 0:22:42.680
<v Speaker 1>So yeah, we don't fully understand, and that actually continues

0:22:42.760 --> 0:22:46.680
<v Speaker 1>in terms of we don't fully understand our immune response

0:22:46.880 --> 0:22:51.400
<v Speaker 1>to this pathogen either, which then has implications for our

0:22:51.440 --> 0:22:53.440
<v Speaker 1>development of things like vaccines.

0:22:54.800 --> 0:23:00.320
<v Speaker 3>Dark Dawn question. Answer, maybe, if you become infected with

0:23:00.440 --> 0:23:06.399
<v Speaker 3>one of these subspecies, do you then have immunity to

0:23:06.640 --> 0:23:10.000
<v Speaker 3>the second subspecies or to reinfection with the first.

0:23:10.640 --> 0:23:14.000
<v Speaker 1>It's a good question. I don't know the direct answer

0:23:14.119 --> 0:23:16.360
<v Speaker 1>to that. What I can tell you is that the

0:23:16.440 --> 0:23:23.919
<v Speaker 1>initial vaccines that were developed were based on the subspecies Holarctica. Yeah,

0:23:23.960 --> 0:23:29.080
<v Speaker 1>and they provided at least some protection against the Toularensis subspecies,

0:23:29.119 --> 0:23:31.439
<v Speaker 1>which is of course the more virulent subspecies and the

0:23:31.440 --> 0:23:33.679
<v Speaker 1>one that people really wanted to be able to develop

0:23:33.720 --> 0:23:34.680
<v Speaker 1>a vaccine against.

0:23:35.240 --> 0:23:35.760
<v Speaker 3>Yeah.

0:23:36.040 --> 0:23:39.960
<v Speaker 1>So yes, at least some how long does that immunity persist?

0:23:40.440 --> 0:23:40.960
<v Speaker 3>Unclear?

0:23:41.560 --> 0:23:44.200
<v Speaker 1>And that's been one of the big issues is trying

0:23:44.240 --> 0:23:46.520
<v Speaker 1>to develop a vaccine that really does a good job

0:23:46.560 --> 0:23:54.720
<v Speaker 1>of protecting against Tularensis subspecies toulorensis rather than just wlearctica.

0:23:54.800 --> 0:23:57.400
<v Speaker 1>And in the past the vaccines that have been developed

0:23:57.400 --> 0:24:00.159
<v Speaker 1>have been mostly based on Holarctica because it's safer to

0:24:00.200 --> 0:24:06.200
<v Speaker 1>work with, because it's less pathogenic. Right, Okay, gotcha, So yeah,

0:24:06.240 --> 0:24:11.000
<v Speaker 1>that's what it's doing. Let's get to what does this

0:24:11.400 --> 0:24:13.480
<v Speaker 1>illness actually look like? What is tulaimia?

0:24:14.040 --> 0:24:17.000
<v Speaker 3>Right? In general?

0:24:17.160 --> 0:24:20.879
<v Speaker 1>After exposure, the incubation period initially is about three to

0:24:20.960 --> 0:24:29.320
<v Speaker 1>five days. Symptoms often start with a fever, oh and

0:24:29.359 --> 0:24:35.760
<v Speaker 1>then some nonspecific symptoms like chills, malaise, headache. But there

0:24:35.840 --> 0:24:40.119
<v Speaker 1>are multiple different forms of this disease that vary based

0:24:40.160 --> 0:24:44.239
<v Speaker 1>on the root of transmission. So in addition to just

0:24:44.480 --> 0:24:48.040
<v Speaker 1>nonspecific symptoms, let's look at all of the different kind

0:24:48.040 --> 0:24:53.880
<v Speaker 1>of types of tulaimia. The first, and what like I mentioned,

0:24:53.960 --> 0:24:57.280
<v Speaker 1>is in some papers at least reported as the most common,

0:24:57.440 --> 0:25:00.679
<v Speaker 1>like up to ninety percent of cases, is called the

0:25:00.840 --> 0:25:04.679
<v Speaker 1>ulcero glandular form, or less commonly, there can be a

0:25:04.760 --> 0:25:07.920
<v Speaker 1>glandular form without the ulcer at the beginning, What does

0:25:07.960 --> 0:25:12.200
<v Speaker 1>this mean. This happens with vector borne transmission, so from

0:25:12.240 --> 0:25:14.880
<v Speaker 1>a tick or a mosquito or a fly that bit

0:25:14.960 --> 0:25:18.600
<v Speaker 1>you on your skin somewhere, or from direct contact with

0:25:18.640 --> 0:25:22.119
<v Speaker 1>an infected animal with like a break in the skin.

0:25:23.520 --> 0:25:27.119
<v Speaker 1>What you see with this form of tuluremia is at

0:25:27.200 --> 0:25:31.119
<v Speaker 1>the sight of the bite or the infection an ulcer.

0:25:32.400 --> 0:25:35.520
<v Speaker 1>So it usually starts as a papule like a little

0:25:35.600 --> 0:25:39.840
<v Speaker 1>bump that then progresses to a pustule like a blister

0:25:40.040 --> 0:25:44.560
<v Speaker 1>with pus in it that looks inflamed, maybe warm, maybe tender,

0:25:45.080 --> 0:25:48.159
<v Speaker 1>and can often kind of open to form this open ulcer.

0:25:48.920 --> 0:25:51.400
<v Speaker 1>It might just look like a bug bite. It might

0:25:51.480 --> 0:25:55.560
<v Speaker 1>not be that gnarly looking of an ulcer, and it

0:25:55.680 --> 0:25:59.880
<v Speaker 1>usually heals within a week or so. But if it does,

0:26:00.680 --> 0:26:03.400
<v Speaker 1>then what that means is that this infection has spread

0:26:03.440 --> 0:26:06.480
<v Speaker 1>to the lymph nodes nearest the bite, which will then

0:26:06.560 --> 0:26:10.160
<v Speaker 1>start to get enlarged. That's the glandular part of the name.

0:26:11.359 --> 0:26:15.640
<v Speaker 1>These lymph nodes will get swollen and tender, and if

0:26:15.680 --> 0:26:20.160
<v Speaker 1>this infection becomes severe, you can have such severe swelling

0:26:20.359 --> 0:26:23.040
<v Speaker 1>of these lymph nodes that they actually begin to drain

0:26:23.480 --> 0:26:26.639
<v Speaker 1>pus from the lymph nodes to the skin, which is

0:26:26.920 --> 0:26:27.880
<v Speaker 1>very very serious.

0:26:28.800 --> 0:26:31.159
<v Speaker 3>It sounds so painful, I know.

0:26:31.720 --> 0:26:35.640
<v Speaker 1>And on top of that, you're having these systemic symptoms

0:26:35.720 --> 0:26:39.080
<v Speaker 1>right like just fever and chills and feeling very sick.

0:26:39.080 --> 0:26:43.880
<v Speaker 1>In general, that's the ulcero glandular or in rarer cases

0:26:43.920 --> 0:26:47.200
<v Speaker 1>you can have just the lymph nodes without that ulcer

0:26:47.359 --> 0:26:55.000
<v Speaker 1>to begin with. Then there's the respiratory form respiratory meaning

0:26:55.320 --> 0:27:00.800
<v Speaker 1>that most commonly you have inhaled and aerosolized bacteria, which

0:27:00.840 --> 0:27:04.879
<v Speaker 1>is often happening from farming activities where hay or grasses

0:27:05.000 --> 0:27:08.919
<v Speaker 1>or something are mode or dealt with, or from hunting

0:27:08.960 --> 0:27:12.840
<v Speaker 1>activities where you're dealing with carcasses and maybe aerosolizing something

0:27:12.880 --> 0:27:17.920
<v Speaker 1>from a carcass. Now, if you have a respiratory infection

0:27:18.240 --> 0:27:24.439
<v Speaker 1>from Francissela Toulurance's subspecies whole Arctica, usually it's a pretty

0:27:24.560 --> 0:27:32.960
<v Speaker 1>mild flu like nonspecific respiratory illness, but with subspecies tolurensis

0:27:33.560 --> 0:27:39.040
<v Speaker 1>what we see are those fevers, chills, add on a cough,

0:27:40.440 --> 0:27:45.639
<v Speaker 1>very severe chest pain. It can progress then to hemoptosis,

0:27:45.680 --> 0:27:49.359
<v Speaker 1>so that's coughing up of blood. You might also see

0:27:49.400 --> 0:27:54.040
<v Speaker 1>even more systemic symptoms like nausea and vomiting diarrhea. So

0:27:54.119 --> 0:27:58.679
<v Speaker 1>this like GI tract becoming involved commonly. One thing that

0:27:58.720 --> 0:28:03.320
<v Speaker 1>we see is what's called pulse temperature dissociation, which is

0:28:03.359 --> 0:28:06.240
<v Speaker 1>something we talked about way way, way way back.

0:28:07.119 --> 0:28:10.400
<v Speaker 3>I was like, this sounds familiar. What yeah, what episode?

0:28:10.600 --> 0:28:12.760
<v Speaker 3>I can't remember? And I was going to try and

0:28:12.800 --> 0:28:14.400
<v Speaker 3>look through, but it would have taken a long time

0:28:14.440 --> 0:28:19.400
<v Speaker 3>because we covered dengay, legionella, leptosporosis, leshmanisis, typhoid, yellow fever.

0:28:19.520 --> 0:28:22.640
<v Speaker 3>All of those can do this. Maybe it was typhoid

0:28:22.680 --> 0:28:26.240
<v Speaker 3>because that's pretty classic, or maybe dengay. Okay, but what

0:28:26.600 --> 0:28:31.600
<v Speaker 3>does that mean? Yeah, So a typical physiologic response to

0:28:31.720 --> 0:28:35.520
<v Speaker 3>fever when anyone has a fever is that our pulse

0:28:35.640 --> 0:28:39.600
<v Speaker 3>will increase. So as our body temperature increases, our pulse increases.

0:28:39.640 --> 0:28:44.480
<v Speaker 3>That is a typical physiologic response. So what a pulse

0:28:44.520 --> 0:28:50.000
<v Speaker 3>temperature dissociation means is that you see a relative bratacardia,

0:28:50.120 --> 0:28:54.640
<v Speaker 3>meaning your heart rate in comparison to your temperature is low.

0:28:55.120 --> 0:28:59.320
<v Speaker 3>Our pulse does not increase in compared to our temperature.

0:28:59.480 --> 0:29:03.880
<v Speaker 3>So here's slow. It's not that the pulse actually decreases.

0:29:04.560 --> 0:29:08.440
<v Speaker 3>That is fascinating. I want to know so much more

0:29:08.440 --> 0:29:08.880
<v Speaker 3>about this.

0:29:09.360 --> 0:29:12.640
<v Speaker 1>Yeah, I know nothing more unclear what.

0:29:12.520 --> 0:29:16.000
<v Speaker 3>The cause is. Okay, so we don't understand how this works.

0:29:16.040 --> 0:29:19.240
<v Speaker 3>But what are the implications of.

0:29:19.040 --> 0:29:25.800
<v Speaker 1>This, great question. Part of the implication is just that

0:29:25.880 --> 0:29:30.720
<v Speaker 1>it gives clinicians a sign to think there's only a

0:29:30.800 --> 0:29:34.680
<v Speaker 1>few pathogens that tend to cause this, so it can

0:29:34.720 --> 0:29:39.040
<v Speaker 1>help narrow down a diagnosis in terms of what is

0:29:39.080 --> 0:29:42.880
<v Speaker 1>this doing in our bodies. It's kind of a little

0:29:42.880 --> 0:29:47.600
<v Speaker 1>bit unclear, but probably not a good sign because what

0:29:47.640 --> 0:29:51.719
<v Speaker 1>it means is that this infection has significantly altered the

0:29:51.760 --> 0:29:56.800
<v Speaker 1>way that our physiology responds to infection and has disrupted

0:29:56.800 --> 0:30:00.760
<v Speaker 1>that process. So like, what does that mean? It means

0:30:00.760 --> 0:30:03.600
<v Speaker 1>that we're our body is not working the way that it.

0:30:03.520 --> 0:30:04.280
<v Speaker 3>Is supposed to.

0:30:05.720 --> 0:30:08.120
<v Speaker 1>So we can see this in up to forty two

0:30:08.160 --> 0:30:14.520
<v Speaker 1>percent of cases with respiratory tulerremia, and the case fatality

0:30:14.600 --> 0:30:18.720
<v Speaker 1>rate of respiratory tularemia if left untreated, can be upwards

0:30:18.760 --> 0:30:22.120
<v Speaker 1>of thirty percent, and so it kind of tracks that

0:30:22.160 --> 0:30:24.840
<v Speaker 1>this is a sign of a pretty severe infection.

0:30:25.680 --> 0:30:30.800
<v Speaker 3>It is fascinating how differently this infection can manifest based

0:30:30.840 --> 0:30:32.959
<v Speaker 3>on how you get exposed.

0:30:33.440 --> 0:30:37.240
<v Speaker 1>Yeah, and there are a few other forms as well, because,

0:30:37.320 --> 0:30:40.120
<v Speaker 1>like we mentioned, there's a few other possible roots of exposure.

0:30:41.360 --> 0:30:45.280
<v Speaker 1>When people are infected from contaminated water sources, it can

0:30:45.360 --> 0:30:48.280
<v Speaker 1>cause like an oropharyngeal infection, so more of like a

0:30:48.320 --> 0:30:53.760
<v Speaker 1>mouth and throat infection and a GI infection nausea vomiting

0:30:53.920 --> 0:30:59.360
<v Speaker 1>as the primary symptoms, and it can also cause an

0:30:59.360 --> 0:31:04.280
<v Speaker 1>oculo glandular infection if the eye is the first root

0:31:04.360 --> 0:31:07.880
<v Speaker 1>of entry, right, a mucous membrane, which then leads to

0:31:08.040 --> 0:31:12.360
<v Speaker 1>a conjunct dividis, so infection of the eye and drainage

0:31:12.360 --> 0:31:14.720
<v Speaker 1>from the eye and then the lymph nodes where your

0:31:14.760 --> 0:31:19.560
<v Speaker 1>eye drains. All of these different forms, while they are

0:31:19.800 --> 0:31:25.360
<v Speaker 1>very different, especially initially, can then lead to a systemic

0:31:25.760 --> 0:31:30.240
<v Speaker 1>bloodborne infection which can then lead to sepsis and septic

0:31:30.280 --> 0:31:31.360
<v Speaker 1>shock and death.

0:31:33.040 --> 0:31:38.520
<v Speaker 3>So the difference in severity between the two subspecies to

0:31:38.680 --> 0:31:43.440
<v Speaker 3>Lorensis and Holarctica is that due to which type of

0:31:43.480 --> 0:31:46.440
<v Speaker 3>infection they are most likely to cause, or is it

0:31:46.640 --> 0:31:49.320
<v Speaker 3>just like the damage that's done or the likelihood of

0:31:49.320 --> 0:31:51.600
<v Speaker 3>that turning into a blood infection, Like where does that

0:31:51.720 --> 0:31:53.000
<v Speaker 3>difference come into play?

0:31:54.080 --> 0:31:58.520
<v Speaker 1>That is one big question that especially vaccine researchers and

0:31:58.560 --> 0:32:01.560
<v Speaker 1>things are trying to answer. We don't fully know what

0:32:01.640 --> 0:32:05.680
<v Speaker 1>these virulence factors are and what the big determining factors

0:32:05.760 --> 0:32:09.480
<v Speaker 1>are on why subspecies Tolurensis is so much more virulent

0:32:09.600 --> 0:32:13.800
<v Speaker 1>than subspecies Holarctica. We don't really know both of them

0:32:13.920 --> 0:32:17.640
<v Speaker 1>can cause all of these different types of infection, and

0:32:17.720 --> 0:32:19.960
<v Speaker 1>I don't have enough data to be able to say,

0:32:20.040 --> 0:32:23.200
<v Speaker 1>like Holarctica is much more likely to cause X than Y,

0:32:23.840 --> 0:32:28.640
<v Speaker 1>except that overall Holarctica causes much less severe disease right

0:32:29.040 --> 0:32:30.120
<v Speaker 1>compared to Tolurensis.

0:32:31.320 --> 0:32:33.040
<v Speaker 3>So that's a lot.

0:32:34.600 --> 0:32:37.800
<v Speaker 1>When it comes to animals, by the way, because I

0:32:37.880 --> 0:32:40.640
<v Speaker 1>mentioned a lot of the species that we associate with

0:32:40.720 --> 0:32:44.360
<v Speaker 1>Tulerimia actually get quite sick from this pathogen, and in

0:32:44.400 --> 0:32:47.000
<v Speaker 1>a lot of cases, Tulimia has a pretty high mortality

0:32:47.080 --> 0:32:49.600
<v Speaker 1>rate in animals like rabbits and rodents and things.

0:32:50.480 --> 0:32:51.880
<v Speaker 3>But the symptoms of this are.

0:32:51.800 --> 0:32:54.960
<v Speaker 1>Going to vary so much by different animal species that

0:32:55.000 --> 0:32:57.719
<v Speaker 1>I'm not going to go into detail on all of them.

0:32:58.160 --> 0:33:01.200
<v Speaker 1>But in general, it's not super similar to humans in

0:33:01.240 --> 0:33:04.520
<v Speaker 1>that there's a lot of fevers, there's a lot of lethargy.

0:33:04.760 --> 0:33:07.720
<v Speaker 1>It can be kind of a long infection, and again

0:33:07.760 --> 0:33:09.920
<v Speaker 1>there's a potentially pretty high mortality rate.

0:33:10.800 --> 0:33:14.840
<v Speaker 3>What about our domestic animals. We've talked a lot about wildlife,

0:33:14.840 --> 0:33:20.440
<v Speaker 3>but are cats, dogs, horses, cows, gerbils? Obviously gerbils, yes,

0:33:20.440 --> 0:33:23.160
<v Speaker 3>but when would a gerbil encounter a wild animal to

0:33:23.160 --> 0:33:27.000
<v Speaker 3>get to lurimia. I really can't think of any other

0:33:27.080 --> 0:33:31.560
<v Speaker 3>domestic animals tortoises like, I don't.

0:33:31.600 --> 0:33:34.560
<v Speaker 1>I never saw reptiles listed, so I don't know about that.

0:33:35.600 --> 0:33:38.640
<v Speaker 1>Cats and dogs, yes, Cats far more likely to become

0:33:38.680 --> 0:33:41.480
<v Speaker 1>infected and get sick compared to dogs. Dogs get a

0:33:41.520 --> 0:33:46.400
<v Speaker 1>lot less sick from tulurimia. And then among livestock, I

0:33:46.520 --> 0:33:49.600
<v Speaker 1>think it was sheep that tend that tend to get

0:33:49.640 --> 0:33:52.240
<v Speaker 1>the most sick of all of our livestock species.

0:33:52.760 --> 0:33:55.880
<v Speaker 3>Okay, yeah, huh yeah, yeah.

0:33:55.720 --> 0:33:59.400
<v Speaker 1>But all of them potentially can get infected. It's just

0:33:59.440 --> 0:34:03.240
<v Speaker 1>a matter of how they get. The good news is

0:34:03.360 --> 0:34:06.640
<v Speaker 1>that so far at least antibiotics still work.

0:34:07.160 --> 0:34:08.399
<v Speaker 3>That's good. That's good.

0:34:10.120 --> 0:34:15.400
<v Speaker 1>That's good, But it can sometimes take prolonged courses of treatment.

0:34:16.320 --> 0:34:20.759
<v Speaker 1>I didn't get into detail on this, but like was

0:34:20.840 --> 0:34:25.080
<v Speaker 1>kind of mentioned in the first hand account. This is

0:34:25.360 --> 0:34:28.759
<v Speaker 1>something that, even if it's not fatal, can cause a

0:34:28.880 --> 0:34:34.000
<v Speaker 1>very prolonged illness that can also result in relapses where

0:34:34.040 --> 0:34:37.120
<v Speaker 1>people become sick kind of again, like get better and

0:34:37.160 --> 0:34:41.120
<v Speaker 1>then get sick again. I didn't look into detail in this.

0:34:41.280 --> 0:34:44.040
<v Speaker 1>It didn't come up a lot in the papers that

0:34:44.120 --> 0:34:46.440
<v Speaker 1>I read. It mostly was a side note, which is

0:34:46.760 --> 0:34:50.399
<v Speaker 1>wid It's a side note for me here. But I'm

0:34:50.440 --> 0:34:54.560
<v Speaker 1>sure that there's some very interesting research in terms of

0:34:54.640 --> 0:34:59.000
<v Speaker 1>the immune response and why this is possible. Right, Is

0:34:59.040 --> 0:35:02.040
<v Speaker 1>it because it's hang out in our immune cells, it's

0:35:02.080 --> 0:35:04.120
<v Speaker 1>infecting a lot of our white blood cells. Does it

0:35:04.160 --> 0:35:05.480
<v Speaker 1>hide in our spleen or our liver?

0:35:05.640 --> 0:35:10.719
<v Speaker 3>What's going on? I don't know, but it's interesting, it

0:35:10.800 --> 0:35:14.960
<v Speaker 3>is and terrifying. Yeah. I feel like there are so

0:35:15.080 --> 0:35:20.919
<v Speaker 3>many questions I have about like how does it do this? Yeah,

0:35:20.960 --> 0:35:24.480
<v Speaker 3>and I think the intracellular part of it is always

0:35:24.560 --> 0:35:27.360
<v Speaker 3>something that's just like so fascinating.

0:35:27.920 --> 0:35:31.360
<v Speaker 1>Yeah, it's obviously it's a huge part of the story

0:35:31.440 --> 0:35:35.040
<v Speaker 1>of tulaimia, right, especially in that it's doing this living

0:35:35.239 --> 0:35:40.320
<v Speaker 1>inside of cells in so many different species right across

0:35:40.360 --> 0:35:45.080
<v Speaker 1>the entire animal kingdom. It's phenomenal. Yeah, But that is

0:35:45.320 --> 0:35:50.440
<v Speaker 1>the biology of tularemia. So tell me, Aaron, how did

0:35:50.480 --> 0:35:51.960
<v Speaker 1>we get here, Where did it come from?

0:35:52.520 --> 0:35:59.120
<v Speaker 3>What's the deal? Uh? Yeah, let's go through whatever I

0:35:59.200 --> 0:36:38.360
<v Speaker 3>have right after this break. Chances are if you skim

0:36:38.400 --> 0:36:45.200
<v Speaker 3>a scientific article about tularimia or Francessella tolreensis published between say,

0:36:45.200 --> 0:36:48.959
<v Speaker 3>the nineteen thirties and the nineteen seventies or so, you're

0:36:49.160 --> 0:36:52.920
<v Speaker 3>likely to come across some reference to this disease being

0:36:53.360 --> 0:36:58.600
<v Speaker 3>quote unquote an American disease or something to that effect. Ooh.

0:36:58.640 --> 0:37:02.560
<v Speaker 3>From a paper by Walter Simpson published in nineteen twenty eight,

0:37:03.280 --> 0:37:07.880
<v Speaker 3>quote The history of Tullerimia makes fascinating study. It is

0:37:08.239 --> 0:37:13.719
<v Speaker 3>in every respect the first American disease. The physicians of

0:37:13.760 --> 0:37:16.480
<v Speaker 3>this country should be thrilled by the thought that not

0:37:16.560 --> 0:37:20.760
<v Speaker 3>only was this disease discovered by American investigators, but also

0:37:20.880 --> 0:37:25.280
<v Speaker 3>because it's specific ideologic agent, the determination of its modes

0:37:25.280 --> 0:37:28.640
<v Speaker 3>of transmission from animal to animal and from animal to man,

0:37:28.880 --> 0:37:32.719
<v Speaker 3>the descriptions of its clinical manifestations, and its pathology and

0:37:32.800 --> 0:37:38.120
<v Speaker 3>bacteriology were made known by American workers and leading all as.

0:37:38.200 --> 0:37:42.080
<v Speaker 3>The guiding spirit which has made this accomplishment possible is

0:37:42.239 --> 0:37:47.440
<v Speaker 3>Edward Francis of the United States Public Health Service. It's

0:37:47.480 --> 0:37:49.759
<v Speaker 3>a very long quote to kind of kick this off,

0:37:50.000 --> 0:37:52.680
<v Speaker 3>but I feel like whip that kind of sums it up.

0:37:52.760 --> 0:37:59.120
<v Speaker 3>But yeah, this designation of Tulaimia as an American disease,

0:37:59.280 --> 0:38:01.160
<v Speaker 3>first of all, I just find really interesting because I

0:38:01.160 --> 0:38:04.360
<v Speaker 3>don't think that we've come across that before. It's like

0:38:04.520 --> 0:38:10.319
<v Speaker 3>extreme patriotism about a particular disease. Usually it's like more

0:38:10.440 --> 0:38:15.200
<v Speaker 3>like racism about disease or something. Right to like claim it,

0:38:15.440 --> 0:38:23.719
<v Speaker 3>like this one's ours. That's great, right, we stake ourklame. Yeah, yeah, yeah, this,

0:38:24.000 --> 0:38:27.360
<v Speaker 3>but this designation as an American disease would stick with

0:38:27.480 --> 0:38:32.960
<v Speaker 3>Tularimia for a really long time, like long after the bacterium,

0:38:33.160 --> 0:38:36.960
<v Speaker 3>or at least subspecies of this bacterium had been found

0:38:37.040 --> 0:38:42.399
<v Speaker 3>to be globally distributed. But did france Ascella to lorensis

0:38:42.480 --> 0:38:48.160
<v Speaker 3>originate in North America? Hm? Honestly, I have no idea,

0:38:48.480 --> 0:38:57.560
<v Speaker 3>but yeah, we don't fully understand. But yeah, there's like

0:38:57.760 --> 0:39:01.640
<v Speaker 3>quite a bit of really interesting and thorough research on

0:39:01.760 --> 0:39:08.560
<v Speaker 3>the evolutionary relationships among Francissella toulorensis subspecies and with other

0:39:08.840 --> 0:39:14.080
<v Speaker 3>francissella species and like the virulence genes potentially, and when

0:39:14.080 --> 0:39:16.399
<v Speaker 3>it acquired them and when it lost them, and all

0:39:16.440 --> 0:39:19.359
<v Speaker 3>of that cool stuff. But there doesn't seem to be

0:39:19.400 --> 0:39:24.600
<v Speaker 3>a whole lot of consensus on which subspecies came first

0:39:24.800 --> 0:39:29.120
<v Speaker 3>and from where especially, And it's no wonder because the

0:39:29.200 --> 0:39:34.640
<v Speaker 3>ecologies of these bacteria are so different and their distribution

0:39:34.840 --> 0:39:38.680
<v Speaker 3>is so wide ranging. Honestly, it's amazing that anyone has

0:39:38.719 --> 0:39:41.200
<v Speaker 3>been able to make any sense out of it at all.

0:39:42.400 --> 0:39:46.160
<v Speaker 3>So this is what we think we do know about

0:39:46.200 --> 0:39:50.200
<v Speaker 3>the two main subspecies that cause disease in humans. Like

0:39:50.280 --> 0:39:55.560
<v Speaker 3>you said, Aaron Francissella to Lorensis subspecies Tolreensis is the

0:39:55.600 --> 0:40:00.000
<v Speaker 3>big battie, can cause very deadly disease with vast vasus

0:40:00.040 --> 0:40:04.960
<v Speaker 3>vast majority of samples found in North America, with one exception.

0:40:05.840 --> 0:40:09.839
<v Speaker 3>In nineteen ninety eight, a paper reported that two isolates

0:40:09.880 --> 0:40:14.040
<v Speaker 3>of this deadly too Lorensis subspecies were found in Slovakia

0:40:14.360 --> 0:40:18.440
<v Speaker 3>near Broadislava. Huh, isn't that interesting? Yeah? And like, as

0:40:18.440 --> 0:40:20.640
<v Speaker 3>far as I could tell, that's been the only instance

0:40:21.600 --> 0:40:24.719
<v Speaker 3>of this subspecies found outside of North America. And how

0:40:24.719 --> 0:40:27.840
<v Speaker 3>it got there and what it means is still a mystery.

0:40:28.160 --> 0:40:30.800
<v Speaker 3>Where was it? Like, what kind of sample? That's a

0:40:30.840 --> 0:40:34.840
<v Speaker 3>good question. I don't remember. Interesting, Yeah, but the paper

0:40:34.960 --> 0:40:37.200
<v Speaker 3>will be on our website. Okay, so if you want

0:40:37.200 --> 0:40:41.560
<v Speaker 3>to check it out. But the other subspecies of human

0:40:41.600 --> 0:40:45.480
<v Speaker 3>health importance again, like you mentioned aaron subspecies whole Arctica

0:40:45.719 --> 0:40:48.759
<v Speaker 3>that's been found throughout the northern hemisphere, and so I

0:40:48.760 --> 0:40:52.640
<v Speaker 3>feel like if you had to guess which came first,

0:40:53.400 --> 0:40:56.160
<v Speaker 3>you might be more inclined to guess the one that

0:40:56.280 --> 0:41:00.600
<v Speaker 3>is globally distributed. But in fact, most papers think that

0:41:00.680 --> 0:41:05.600
<v Speaker 3>the Toularensis subspecies, the one only found in North America asterisk,

0:41:06.160 --> 0:41:10.280
<v Speaker 3>is actually older and that the whole Arctica species evolved

0:41:10.320 --> 0:41:14.160
<v Speaker 3>from it. And researchers think this because of the genetic

0:41:14.200 --> 0:41:18.600
<v Speaker 3>diversity of the two subspecies. Toulorensis is much more diverse

0:41:18.640 --> 0:41:21.399
<v Speaker 3>than the whole Arctica they've tested, and in fact, whole

0:41:21.480 --> 0:41:25.600
<v Speaker 3>Arctica is so unexpectedly not diverse that they think there

0:41:25.640 --> 0:41:29.440
<v Speaker 3>was some sort of bottleneck event that was just like, okay,

0:41:29.560 --> 0:41:33.200
<v Speaker 3>everyone is now the same, the same. Yeah, that is interesting.

0:41:33.920 --> 0:41:37.439
<v Speaker 3>But the bottom line, and what nearly everyone of these

0:41:37.440 --> 0:41:40.680
<v Speaker 3>papers ends with, and rightly so, is that there's a

0:41:40.719 --> 0:41:44.279
<v Speaker 3>whole lot more Francissella to Lorenzis diversity out there, just

0:41:44.520 --> 0:41:50.680
<v Speaker 3>waiting to be explored, and so this story will probably change,

0:41:50.760 --> 0:41:54.560
<v Speaker 3>or at least more details will emerge as that research

0:41:54.640 --> 0:41:58.680
<v Speaker 3>is done. So we don't know where in the world

0:41:58.760 --> 0:42:02.719
<v Speaker 3>Francesella Tolrenzis first emerged, nor do we know when in

0:42:02.880 --> 0:42:08.120
<v Speaker 3>history or prehistory this pathogen, these pathogens first made their appearance,

0:42:08.880 --> 0:42:10.880
<v Speaker 3>or at least I didn't find it in the papers

0:42:10.880 --> 0:42:14.360
<v Speaker 3>that I read. But as I was hunting for papers

0:42:14.400 --> 0:42:18.080
<v Speaker 3>on Google Scholar, I came across at least three papers

0:42:18.160 --> 0:42:23.000
<v Speaker 3>proposing that Francis sello to lorensis was the causative organism

0:42:23.280 --> 0:42:28.279
<v Speaker 3>for several different ancient plagues. Each paper went into a

0:42:28.320 --> 0:42:31.800
<v Speaker 3>particular plague. All of the papers were by the same

0:42:31.880 --> 0:42:36.480
<v Speaker 3>individual author, and all were published in the same journal

0:42:36.640 --> 0:42:40.440
<v Speaker 3>Medical Hypotheses. And these were like wide ranging plagues. Make

0:42:40.480 --> 0:42:43.800
<v Speaker 3>that point, okay, So that right away kind of stuck

0:42:43.800 --> 0:42:47.200
<v Speaker 3>out as a little suspicious but interesting enough to look into,

0:42:47.560 --> 0:42:49.920
<v Speaker 3>and so I started to skim these papers, and the

0:42:49.960 --> 0:42:55.040
<v Speaker 3>biology proposed in them didn't really make much sense at

0:42:55.120 --> 0:42:57.520
<v Speaker 3>least as far as what we know about to lorensis.

0:42:58.000 --> 0:42:59.640
<v Speaker 3>So then I was like, Okay, what's going on with

0:42:59.680 --> 0:43:03.920
<v Speaker 3>the strejournal? So I googled. It turns out that it

0:43:04.040 --> 0:43:08.319
<v Speaker 3>uses quote unquote unconventional peer review, which I looked into

0:43:08.400 --> 0:43:13.680
<v Speaker 3>it more. It isn't very rigorous, which is intended to

0:43:13.760 --> 0:43:16.040
<v Speaker 3>be that way because they're publishing the papers that no

0:43:16.040 --> 0:43:19.920
<v Speaker 3>one else will publish, and it has been known to

0:43:20.000 --> 0:43:23.919
<v Speaker 3>publish articles denying aids, as well as articles on other

0:43:24.040 --> 0:43:29.840
<v Speaker 3>horribly offensive and completely nonfactual topics. So I dug a

0:43:29.840 --> 0:43:32.080
<v Speaker 3>little bit deeper to see if I could find any

0:43:32.160 --> 0:43:35.359
<v Speaker 3>other mention of tulaimia and the hit type plague, which

0:43:35.400 --> 0:43:37.600
<v Speaker 3>is the subject of one of these papers, and I

0:43:37.640 --> 0:43:42.600
<v Speaker 3>found an amazing book chapter called Beyond the Differential Diagnosis,

0:43:42.800 --> 0:43:46.120
<v Speaker 3>New Approaches to the Bioarchaeology of the Hit Type Plague

0:43:46.160 --> 0:43:49.600
<v Speaker 3>by Smith, Guzman, Rose, and Cufkins. I'll put it on

0:43:49.640 --> 0:43:52.760
<v Speaker 3>our sources on our website, but anyway, I came across

0:43:52.800 --> 0:43:56.480
<v Speaker 3>this chapter because it mentioned that the tulaimia hypothesis had

0:43:56.480 --> 0:44:00.400
<v Speaker 3>been disregarded because of a lack of biological plausibility, and

0:44:00.440 --> 0:44:05.560
<v Speaker 3>then I kept reading because it provided this amazing eleven

0:44:05.719 --> 0:44:09.359
<v Speaker 3>step like step by step discussion of how you could

0:44:09.360 --> 0:44:13.879
<v Speaker 3>incorporate so many different and varied methods to arrive at

0:44:13.880 --> 0:44:18.920
<v Speaker 3>a likely causative agent for ancient epidemics, which often have

0:44:19.200 --> 0:44:23.200
<v Speaker 3>very limited physical evidence. By the way, they concluded that

0:44:23.360 --> 0:44:26.840
<v Speaker 3>malaria was a likely culprit for the hit type plague.

0:44:27.200 --> 0:44:29.759
<v Speaker 3>So this was kind of a long detour with like

0:44:29.920 --> 0:44:33.560
<v Speaker 3>not very much meat to it, but I really wanted

0:44:33.600 --> 0:44:38.400
<v Speaker 3>to include it because I feel like it illustrates how

0:44:38.719 --> 0:44:42.520
<v Speaker 3>hard it can be sometimes to tell whether something is

0:44:42.560 --> 0:44:46.000
<v Speaker 3>a legitimate source or not. Like you can find these

0:44:46.040 --> 0:44:50.800
<v Speaker 3>papers on PubMed and on the National Library of Medicine

0:44:51.080 --> 0:44:55.799
<v Speaker 3>Journal Archive, like it's on Google scholar, right, So just

0:44:55.840 --> 0:44:59.439
<v Speaker 3>because it's on Google scholar, it doesn't mean it's necessarily

0:45:00.840 --> 0:45:05.320
<v Speaker 3>legitimate or you know, just like ah, it just shows

0:45:05.320 --> 0:45:08.600
<v Speaker 3>how crucial it is to keep doing that little bit

0:45:08.640 --> 0:45:12.040
<v Speaker 3>of extra digging to help you decide if something is

0:45:12.080 --> 0:45:15.080
<v Speaker 3>a good source. So keep going down that rabbit hole

0:45:15.360 --> 0:45:17.480
<v Speaker 3>because at the end of it, you'll get better at

0:45:17.480 --> 0:45:21.360
<v Speaker 3>spotting these crappy sources and you get to appreciate the

0:45:21.400 --> 0:45:26.240
<v Speaker 3>good ones and hopefully not get toulurinia but get it home. Sorry.

0:45:27.600 --> 0:45:33.640
<v Speaker 1>Wow, I'm so sorry. I'm so sorry. Moving on, but

0:45:34.120 --> 0:45:37.200
<v Speaker 1>I agree one.

0:45:36.560 --> 0:45:39.680
<v Speaker 3>Yeah, it was kind of like a nice refresher of

0:45:40.640 --> 0:45:45.160
<v Speaker 3>oh yeah, okay, stuff like this is, you know anyway.

0:45:45.400 --> 0:45:48.360
<v Speaker 3>So that's all I've got for tularimia in ancient times,

0:45:48.360 --> 0:45:52.960
<v Speaker 3>which isn't really anything at all, turns out, So instead,

0:45:53.120 --> 0:45:56.440
<v Speaker 3>let's move on to the discovery phase of this disease.

0:45:56.680 --> 0:46:01.080
<v Speaker 3>What the story begins with the night teen six San

0:46:01.120 --> 0:46:06.000
<v Speaker 3>Francisco earthquake, or rather the fallout from it. Not what

0:46:06.040 --> 0:46:11.080
<v Speaker 3>you were expecting, not at all. Yeah, to call this

0:46:11.280 --> 0:46:17.560
<v Speaker 3>earthquake devastating would be an incredible understatement. An estimated eighty

0:46:17.640 --> 0:46:20.719
<v Speaker 3>percent of the city was destroyed and two hundred and

0:46:20.719 --> 0:46:23.719
<v Speaker 3>fifty thousand people were left without a place to live.

0:46:24.760 --> 0:46:28.640
<v Speaker 3>As listeners of this podcast are probably well aware, these

0:46:28.680 --> 0:46:32.960
<v Speaker 3>types of conditions are perfect for diseases to break out

0:46:33.040 --> 0:46:37.560
<v Speaker 3>and just spread like wildfire. Since about nineteen hundred or

0:46:37.640 --> 0:46:42.000
<v Speaker 3>so before the earthquake, San Francisco had been battling bubonic

0:46:42.040 --> 0:46:46.160
<v Speaker 3>plague and things were just starting to seem under control

0:46:46.239 --> 0:46:52.000
<v Speaker 3>when the earthquake struck. Soon after the earthquake, rats swarmed

0:46:52.239 --> 0:46:57.200
<v Speaker 3>the wrecked city, sparking this renewed fear of this deadly disease.

0:46:57.960 --> 0:47:00.680
<v Speaker 3>And there is a lot more to the story of

0:47:00.800 --> 0:47:04.560
<v Speaker 3>rats and bubonic plague and racism and discrimination in San

0:47:04.600 --> 0:47:07.800
<v Speaker 3>Francisco that I'm not going to get into in this episode.

0:47:08.200 --> 0:47:10.480
<v Speaker 3>But one of the things that came out of this

0:47:10.640 --> 0:47:14.120
<v Speaker 3>thread of plague after the earthquake was the push for

0:47:14.200 --> 0:47:18.800
<v Speaker 3>more research on the ecology of this disease of bubonic plague.

0:47:19.520 --> 0:47:23.160
<v Speaker 3>So the director of the US Public Health Service Plague Lab,

0:47:23.400 --> 0:47:27.840
<v Speaker 3>George McCoy, decided to investigate some of the reservoir animals

0:47:27.880 --> 0:47:33.799
<v Speaker 3>for plague in North America, particularly ground squirrels, curious whether

0:47:33.840 --> 0:47:37.520
<v Speaker 3>the plague bacteria they harbored was in any way different

0:47:37.719 --> 0:47:41.239
<v Speaker 3>from those in rats. So to answer this, he went

0:47:41.280 --> 0:47:47.120
<v Speaker 3>out trapping in Tulare County, California. At this point, the

0:47:47.200 --> 0:47:50.480
<v Speaker 3>causative agent of bubonic plague, your sinnea pestis, had already

0:47:50.480 --> 0:47:55.520
<v Speaker 3>been described, but McCoy was having trouble isolating this bacterium

0:47:55.560 --> 0:47:58.759
<v Speaker 3>from some of his ground squirrel samples, even though they

0:47:58.840 --> 0:48:04.680
<v Speaker 3>had symptoms of PLAGUEO like these, soulen lymphnos like lesions

0:48:04.760 --> 0:48:10.080
<v Speaker 3>like yeah and so Eventually, after tinkering with the culture

0:48:10.160 --> 0:48:14.279
<v Speaker 3>media recipe, McCoy and his colleague Charles Chapin were able

0:48:14.360 --> 0:48:17.920
<v Speaker 3>to isolate a new microbe from the squirrels, which they

0:48:18.000 --> 0:48:24.760
<v Speaker 3>named Bacterium to Lorentz after Tulare County. Wow. Eight years later,

0:48:24.920 --> 0:48:27.920
<v Speaker 3>in nineteen nineteen, a researcher at the US Public Health

0:48:27.960 --> 0:48:31.960
<v Speaker 3>Service named Edward Francis was sent out on his first

0:48:32.000 --> 0:48:35.200
<v Speaker 3>field assignment to study an outbreak of something called deerfly

0:48:35.360 --> 0:48:39.920
<v Speaker 3>fever in an area of rural Utah. Frances set to

0:48:40.040 --> 0:48:43.839
<v Speaker 3>examining each person who was sick, taking samples from them,

0:48:43.960 --> 0:48:46.440
<v Speaker 3>trying to grow microbes from the samples to figure out

0:48:46.480 --> 0:48:49.520
<v Speaker 3>what was making them sick. And it didn't take him

0:48:49.520 --> 0:48:52.320
<v Speaker 3>too long to figure out that the likely causative agent

0:48:52.520 --> 0:48:58.080
<v Speaker 3>was Bacterium to lorentz. So he called the disease toulerimia. Wow.

0:48:59.080 --> 0:49:03.440
<v Speaker 3>So forward, Yeah, well, yeah, I mean there also was

0:49:03.480 --> 0:49:07.240
<v Speaker 3>a little bit of this unfortunate situation where Francis got

0:49:07.280 --> 0:49:10.400
<v Speaker 3>to know the bug all too well. Yeah, he picked

0:49:10.480 --> 0:49:15.560
<v Speaker 3>up tulaimia from someone who later died of tularimia, and

0:49:16.480 --> 0:49:19.040
<v Speaker 3>you know the rest from the first hand account. But

0:49:19.239 --> 0:49:22.879
<v Speaker 3>his illness, Francis's illness kicked off what would be an

0:49:22.960 --> 0:49:28.799
<v Speaker 3>unlucky trend among tulerimia researchers, and many of them would

0:49:28.800 --> 0:49:31.399
<v Speaker 3>get sick with the thing that they were studying over

0:49:31.440 --> 0:49:35.399
<v Speaker 3>the next years decades. Really, so I want to read

0:49:35.440 --> 0:49:39.720
<v Speaker 3>you a quote from the same paper describing Francis's illness. Quote.

0:49:40.520 --> 0:49:43.560
<v Speaker 3>All of the men six in number who have been

0:49:43.680 --> 0:49:46.960
<v Speaker 3>intimately connected during the past two years with the laboratory

0:49:47.000 --> 0:49:50.760
<v Speaker 3>investigations of tulerimia which the Public Health Service has been conducting,

0:49:51.120 --> 0:49:55.760
<v Speaker 3>have contracted this disease. Such a record of morbidity among

0:49:55.840 --> 0:49:59.880
<v Speaker 3>investigators of a disease is probably unique in the history

0:50:00.160 --> 0:50:06.919
<v Speaker 3>experimental medicine. Fortunately there were no fatalities end quote. Wow. Yeah.

0:50:06.960 --> 0:50:10.000
<v Speaker 3>And then this paper goes on to describe how some

0:50:10.040 --> 0:50:13.000
<v Speaker 3>of these researchers that got to lurehemia had worked with

0:50:13.560 --> 0:50:17.880
<v Speaker 3>deadly pathogens for decades and knew all of the PPE

0:50:17.960 --> 0:50:22.520
<v Speaker 3>tricks and whatever. Some of them worked under rougher conditions

0:50:22.520 --> 0:50:25.200
<v Speaker 3>in terms of like a field lab, and others were

0:50:25.239 --> 0:50:29.040
<v Speaker 3>working in like state of the art labs, and still

0:50:29.640 --> 0:50:34.880
<v Speaker 3>they got sick. Which, yeah, it's just so infectious. Yes,

0:50:35.280 --> 0:50:39.080
<v Speaker 3>you can take as many precautions and still there's like

0:50:39.120 --> 0:50:40.600
<v Speaker 3>such a high risk of getting sick.

0:50:41.760 --> 0:50:46.399
<v Speaker 1>I read it's also especially in laboratory conditions because even

0:50:46.480 --> 0:50:51.120
<v Speaker 1>just opening the culture flask, you're potentially aerosolizing things.

0:50:51.160 --> 0:50:58.920
<v Speaker 3>So yeah, yeah, yeah, yeah, yeah, it's impressive and terrifying. Yeah. So,

0:50:59.080 --> 0:51:02.319
<v Speaker 3>at some point between taking all of these samples and

0:51:02.440 --> 0:51:07.360
<v Speaker 3>recovering from Tulerimia, frances had also carried out extensive testing

0:51:07.440 --> 0:51:10.040
<v Speaker 3>to try to figure out where this bacterium was hiding

0:51:10.040 --> 0:51:14.200
<v Speaker 3>out in nature and how humans got exposed to it, which,

0:51:14.239 --> 0:51:17.560
<v Speaker 3>as we learned, is like a number of ways, so

0:51:17.880 --> 0:51:24.000
<v Speaker 3>not a simple answer. Yeah, Francis isolated the bacterium from

0:51:24.280 --> 0:51:30.359
<v Speaker 3>jack rabbits and ground squirrels, and also showed that deer flies, mouselice,

0:51:30.440 --> 0:51:34.120
<v Speaker 3>and bedbugs could play a role in transmission to humans.

0:51:35.239 --> 0:51:39.560
<v Speaker 3>His extensive and groundbreaking work on the disease would later

0:51:39.719 --> 0:51:42.720
<v Speaker 3>inspire the genus name to be changed to Francis Sella

0:51:43.040 --> 0:51:47.319
<v Speaker 3>Ah love that. Yeah. But the cases of deer fly

0:51:47.440 --> 0:51:50.840
<v Speaker 3>fever that Francis was sent to investigate in nineteen nineteen

0:51:51.480 --> 0:51:55.800
<v Speaker 3>didn't mark the very first outbreak of Tullerimia in humans,

0:51:56.360 --> 0:51:59.520
<v Speaker 3>of course, because, as is so often the case, once

0:51:59.560 --> 0:52:03.520
<v Speaker 3>Francis and his colleagues published their findings, other likely past

0:52:03.680 --> 0:52:07.279
<v Speaker 3>cases or past outbreaks of this disease came to light.

0:52:08.000 --> 0:52:11.719
<v Speaker 3>The oldest of these dates back to eighteen eighteen and

0:52:11.880 --> 0:52:16.760
<v Speaker 3>comes from Japan, a disease named Yato bio hair disease

0:52:17.400 --> 0:52:21.080
<v Speaker 3>that appeared in people who had handled rabbit meat. In

0:52:21.120 --> 0:52:25.520
<v Speaker 3>the eighteen nineties, in Norway, an illness called lemming fever

0:52:25.880 --> 0:52:29.479
<v Speaker 3>was described, And this is maybe a stretch, but there's

0:52:29.600 --> 0:52:32.800
<v Speaker 3>also a description of a tularemia like disease in lemmings

0:52:32.840 --> 0:52:36.760
<v Speaker 3>in Norway from the sixteen hundreds, like sixteen fifty three.

0:52:37.640 --> 0:52:40.239
<v Speaker 3>But even in the US there had been outbreaks or

0:52:40.239 --> 0:52:43.520
<v Speaker 3>at least individual cases of deer fly fever prior to

0:52:43.680 --> 0:52:51.360
<v Speaker 3>Francis's investigations in Ohio, Utah, California, probably other places. This

0:52:51.520 --> 0:52:54.719
<v Speaker 3>was clearly not a disease that was new to humans,

0:52:55.520 --> 0:52:59.399
<v Speaker 3>nor was it limited to North America. After it came

0:52:59.400 --> 0:53:02.440
<v Speaker 3>out that France Sola to Lorenzus can cause disease in humans,

0:53:02.840 --> 0:53:06.400
<v Speaker 3>cases and outbreaks began to be reported all over the globe,

0:53:06.600 --> 0:53:11.160
<v Speaker 3>from Japan, where in nineteen twenty six a widespread disease

0:53:11.280 --> 0:53:13.919
<v Speaker 3>was linked to rabbits and concluded to be caused by

0:53:14.040 --> 0:53:19.200
<v Speaker 3>Francisselo to Lorensis, to Russia, where four outbreaks between nineteen

0:53:19.239 --> 0:53:23.480
<v Speaker 3>twenty six and nineteen twenty nine involving over eleven hundred

0:53:23.560 --> 0:53:27.759
<v Speaker 3>cases were determined to be Tularimia WOW. And in these

0:53:27.800 --> 0:53:32.040
<v Speaker 3>outbreaks in Russia, flooding had driven water rats which I'm

0:53:32.120 --> 0:53:35.440
<v Speaker 3>guessing our European water voles, which are actually voles but

0:53:35.520 --> 0:53:39.719
<v Speaker 3>look like rats anyway, this flooding had driven them out

0:53:39.719 --> 0:53:43.200
<v Speaker 3>of their holes, and the Russian government offered rewards for

0:53:43.360 --> 0:53:47.239
<v Speaker 3>every skin to try to reduce their numbers, which led

0:53:47.280 --> 0:53:51.160
<v Speaker 3>to a lot of exposure by killing all these rats.

0:53:52.400 --> 0:53:57.200
<v Speaker 3>We also see Tulurimia popping up in Turkey, Canada, Austria, Sweden,

0:53:57.320 --> 0:54:01.760
<v Speaker 3>Italy and many other regions, and over time a pattern

0:54:01.840 --> 0:54:04.239
<v Speaker 3>began to emerge and who was most likely to get

0:54:04.239 --> 0:54:10.640
<v Speaker 3>infected basically people handling wildlife, hunters, trappers, cooks, agricultural workers,

0:54:11.400 --> 0:54:17.480
<v Speaker 3>and naturally. War similar to what I mentioned earlier in

0:54:17.560 --> 0:54:20.960
<v Speaker 3>terms of an increased rat population following the nineteen o

0:54:21.120 --> 0:54:27.000
<v Speaker 3>six San Francisco earthquake, War also created tremendous opportunities for

0:54:27.080 --> 0:54:31.360
<v Speaker 3>francis Ela to Lorenzis to thrive, largely through increases in

0:54:31.480 --> 0:54:35.759
<v Speaker 3>rodent populations. For instance, during World War II in the

0:54:35.760 --> 0:54:40.200
<v Speaker 3>Soviet Union, a huge amount of arable land was not

0:54:40.280 --> 0:54:45.560
<v Speaker 3>cultivated harvests were delayed or destroyed, buildings were demolished, and

0:54:45.640 --> 0:54:50.280
<v Speaker 3>poor sanitary conditions all resulted in a ton a ton

0:54:50.520 --> 0:54:55.000
<v Speaker 3>of increased contact between humans and rodents, with an estimated

0:54:55.400 --> 0:55:00.800
<v Speaker 3>sixty seven thousand cases between nineteen forty one and nineteen

0:55:00.840 --> 0:55:08.120
<v Speaker 3>forty two in just one region. What uh huh along

0:55:08.200 --> 0:55:12.040
<v Speaker 3>the Eastern Front there may have been tens of thousands

0:55:12.120 --> 0:55:15.360
<v Speaker 3>of Russian and German soldiers may also have been infected

0:55:15.440 --> 0:55:18.520
<v Speaker 3>during the war, And because this is a pathogen that

0:55:18.560 --> 0:55:23.120
<v Speaker 3>infects wildlife, the increase in human cases and rodent populations

0:55:23.560 --> 0:55:27.520
<v Speaker 3>also meant that Francissela to lorensus subspecies Holarctica, of course

0:55:28.320 --> 0:55:32.520
<v Speaker 3>became more established and disseminated in the environment, causing a

0:55:32.640 --> 0:55:39.000
<v Speaker 3>long term persistence in high case loads. Wow okay. I

0:55:39.160 --> 0:55:41.680
<v Speaker 3>read in a paper that in the nineteen forties there

0:55:41.680 --> 0:55:46.799
<v Speaker 3>were an estimated one hundred thousand cases annually of tulurimia

0:55:46.840 --> 0:55:50.960
<v Speaker 3>in the Soviet Union. Ah yay yayeah. I know, I

0:55:51.000 --> 0:55:54.920
<v Speaker 3>know it was and probably helped along by exposure roots

0:55:54.960 --> 0:55:57.680
<v Speaker 3>like breathing in dust that had been contaminated by dead

0:55:57.760 --> 0:56:01.600
<v Speaker 3>rodents or their poop, or contaminated water supplies like basically

0:56:01.680 --> 0:56:03.800
<v Speaker 3>all the things that you would expect to see increase

0:56:03.920 --> 0:56:11.520
<v Speaker 3>during times of war. Fortunately, sanitary conditions improved in later decades.

0:56:11.840 --> 0:56:16.080
<v Speaker 3>Plus there was that vaccine that was developed and was

0:56:16.160 --> 0:56:20.200
<v Speaker 3>widely administered, like mass vaccination campaigns in the Soviet Union.

0:56:20.480 --> 0:56:24.359
<v Speaker 3>I think sixty million people ended up getting vaccinated between

0:56:24.440 --> 0:56:28.640
<v Speaker 3>nineteen forty six and nineteen sixty Wow. Yeah. And by

0:56:28.640 --> 0:56:32.000
<v Speaker 3>the nineteen nineties, annual cases there had decreased to one

0:56:32.120 --> 0:56:37.400
<v Speaker 3>hundred to four hundred Wow. Yeah, yeah, But I'm getting

0:56:37.400 --> 0:56:41.160
<v Speaker 3>ahead of myself there. The incredible increase in both the

0:56:41.280 --> 0:56:45.000
<v Speaker 3>number of cases and the distribution of this pathogen prompted

0:56:45.040 --> 0:56:49.040
<v Speaker 3>more research into Francisolo to lorensis throughout the nineteen thirties

0:56:49.080 --> 0:56:53.680
<v Speaker 3>and nineteen forties. It's ecology, it's clinical picture, exposure roots,

0:56:53.719 --> 0:56:56.400
<v Speaker 3>the role of arthropod vectors like tics, other animals that

0:56:56.440 --> 0:57:00.400
<v Speaker 3>could infect, and so much more. And we are know

0:57:00.520 --> 0:57:04.160
<v Speaker 3>from Francis's research in nineteen nineteen that this pathogen could

0:57:04.160 --> 0:57:07.520
<v Speaker 3>be a dangerous one to work with. And so what

0:57:07.560 --> 0:57:11.360
<v Speaker 3>do you think happened? Once more and more bacteriologists turned

0:57:11.360 --> 0:57:15.640
<v Speaker 3>their attention to it. Oh yeah, more and more cases

0:57:15.719 --> 0:57:20.040
<v Speaker 3>among these researchers frances Solo tou Lorenzis had earned a

0:57:20.080 --> 0:57:24.560
<v Speaker 3>reputation as a deadly microbe that was disturbingly difficult to

0:57:24.640 --> 0:57:27.880
<v Speaker 3>avoid in lab settings, so much so that in some

0:57:27.960 --> 0:57:31.480
<v Speaker 3>countries researchers just flat out refused to work with it.

0:57:32.800 --> 0:57:37.840
<v Speaker 3>Other countries, however, saw a silver lining. Oh dear, The

0:57:37.880 --> 0:57:43.840
<v Speaker 3>potential of Francislo to Lorenzis as a biological weapon working

0:57:43.880 --> 0:57:48.280
<v Speaker 3>in its favor are the following. There are seven, so

0:57:48.360 --> 0:57:52.600
<v Speaker 3>buckle up. Number one it's highly infectious, like you said,

0:57:52.600 --> 0:57:55.160
<v Speaker 3>as few as ten to one hundred bacteria and needed

0:57:55.160 --> 0:57:58.640
<v Speaker 3>to cause disease. Number two it's easy to find in

0:57:58.760 --> 0:58:02.680
<v Speaker 3>nature because of its wine distribution. Number three it's easy

0:58:02.720 --> 0:58:05.480
<v Speaker 3>to make a lot of Number four it can be

0:58:05.600 --> 0:58:12.800
<v Speaker 3>aerosolized very easily, as lawnmower associated outbreaks have shown. There

0:58:12.800 --> 0:58:15.600
<v Speaker 3>were like started out on Martha's vineyard. There's been some

0:58:15.840 --> 0:58:22.360
<v Speaker 3>in Colorado, Like yeah, it's really horrible. Fine. Yeah. Number

0:58:22.360 --> 0:58:25.960
<v Speaker 3>five it can spill back from humans into the environment

0:58:26.080 --> 0:58:29.480
<v Speaker 3>and stay there for a long time, continuing to pop up.

0:58:29.680 --> 0:58:32.800
<v Speaker 3>Number six. Only a few antibiotics work on it, and

0:58:32.880 --> 0:58:37.080
<v Speaker 3>resistant strains could you know in theory be easily engineered.

0:58:37.800 --> 0:58:43.400
<v Speaker 3>And number seven, no vaccine is currently available. As early

0:58:43.440 --> 0:58:46.960
<v Speaker 3>as World War Two, countries such as Japan, the US,

0:58:47.160 --> 0:58:52.000
<v Speaker 3>the USSR, and probably many others devoted a lot of

0:58:52.040 --> 0:58:55.280
<v Speaker 3>time and effort into determining whether or not Francissela to

0:58:55.320 --> 0:59:00.280
<v Speaker 3>lorensis could be developed into a suitable biological weapon. And

0:59:00.400 --> 0:59:03.160
<v Speaker 3>this wasn't the only pathogen considered, of course, but it

0:59:03.400 --> 0:59:07.760
<v Speaker 3>was given really high priority for those reasons I mentioned.

0:59:08.480 --> 0:59:12.360
<v Speaker 3>And some of this quote unquote research involved just straight

0:59:12.440 --> 0:59:17.360
<v Speaker 3>up torture, right injecting people with tulaimia. One of the

0:59:17.400 --> 0:59:20.800
<v Speaker 3>most publicized was the horrific torture carried out by the

0:59:20.880 --> 0:59:25.480
<v Speaker 3>Japanese Research Unit seven thirty one operating in Manchuria, and

0:59:25.640 --> 0:59:29.400
<v Speaker 3>the US used human quote unquote volunteers in the nineteen

0:59:29.480 --> 0:59:33.440
<v Speaker 3>fifties who were infected with Francissela tou loreensis using different

0:59:33.480 --> 0:59:39.040
<v Speaker 3>exposure roots, especially aerosol, in different levels of bacteria. And

0:59:39.160 --> 0:59:41.959
<v Speaker 3>so this is how we know that the infectious dose

0:59:42.040 --> 0:59:43.200
<v Speaker 3>is ten to fifty.

0:59:43.240 --> 0:59:47.840
<v Speaker 1>I read that in several papers, and it's disturbing how

0:59:48.080 --> 0:59:51.360
<v Speaker 1>all of the papers that I read literally just say

0:59:51.920 --> 0:59:54.480
<v Speaker 1>human volunteers, that's what they say.

0:59:54.840 --> 0:59:58.840
<v Speaker 3>Yeah, so I don't know the circumstances of what that

0:59:59.040 --> 1:00:03.360
<v Speaker 3>volunteering look like. Were they given a consent form, were

1:00:03.360 --> 1:00:06.080
<v Speaker 3>they given right, you know, full disclosure about the risks

1:00:06.080 --> 1:00:07.280
<v Speaker 3>associated with this.

1:00:07.480 --> 1:00:11.280
<v Speaker 1>I mean nineteen fifties almost certainly not, No, I know,

1:00:11.480 --> 1:00:12.160
<v Speaker 1>definitely not.

1:00:13.720 --> 1:00:15.440
<v Speaker 3>Yeah. I think it just sort of the fact that

1:00:15.480 --> 1:00:19.520
<v Speaker 3>it's just like and they were volunteers.

1:00:19.160 --> 1:00:22.840
<v Speaker 1>Right, it's just like brushed under. It's like, oh, we

1:00:22.960 --> 1:00:27.360
<v Speaker 1>learned this from human volunteers. Like what right, sorry, back

1:00:27.400 --> 1:00:30.280
<v Speaker 1>it up more detail please.

1:00:30.480 --> 1:00:36.960
<v Speaker 3>Yeah, yeah, yeah. But interest in this pathogen as a

1:00:37.000 --> 1:00:40.720
<v Speaker 3>potential biological weapon continued to rise, and of course with

1:00:40.880 --> 1:00:46.880
<v Speaker 3>it was increasing concern about its actual use. And so

1:00:47.040 --> 1:00:50.480
<v Speaker 3>this actually led the WHO to develop this model that

1:00:50.520 --> 1:00:54.600
<v Speaker 3>you talked about earlier, Aaron, to estimate just how bad

1:00:54.760 --> 1:00:58.480
<v Speaker 3>an attack using the pathogen could be, and they incorporated

1:00:58.520 --> 1:01:01.920
<v Speaker 3>things actually like meteor aloge conditions, decay rate of the

1:01:01.920 --> 1:01:06.720
<v Speaker 3>bacteria in the air, antibiotic sensitivity or resistance, infectious dose,

1:01:06.800 --> 1:01:10.640
<v Speaker 3>case fatality rate, et cetera. And they estimated that if

1:01:10.720 --> 1:01:15.600
<v Speaker 3>fifty kilograms of an antibiotic resistant strain of francissela to

1:01:15.720 --> 1:01:20.000
<v Speaker 3>lorensis was released in a metropolitan area with a population

1:01:20.200 --> 1:01:25.600
<v Speaker 3>of five million people, two hundred and fifty thousand individuals

1:01:25.680 --> 1:01:30.640
<v Speaker 3>would become incapacitated and nineteen thousand would die. Yeah, and

1:01:30.680 --> 1:01:34.200
<v Speaker 3>I say incapacitated just because, like you said earlier, Aarin,

1:01:34.240 --> 1:01:38.080
<v Speaker 3>there's this really long period of recovery with relapses in

1:01:38.160 --> 1:01:43.760
<v Speaker 3>later months. And the CDC also performed its own cost estimate.

1:01:44.400 --> 1:01:48.320
<v Speaker 3>I love that it's always cost always, which is, you know,

1:01:48.440 --> 1:01:53.040
<v Speaker 3>equate human lives to monetary value. I mean, is that

1:01:53.160 --> 1:01:59.560
<v Speaker 3>not America? Yeah, And in nineteen ninety seven dollars, they

1:01:59.720 --> 1:02:03.320
<v Speaker 3>estimate that it would cost five point four billion dollars

1:02:03.560 --> 1:02:07.400
<v Speaker 3>for every one hundred thousand people exposed in an aerosol attack.

1:02:07.720 --> 1:02:11.680
<v Speaker 3>Ooh yeah, every Oh wow. I mean now that we

1:02:11.800 --> 1:02:15.000
<v Speaker 3>are equating human lives with money, that's really expensive. Yeah,

1:02:15.240 --> 1:02:16.320
<v Speaker 3>really expensive.

1:02:16.440 --> 1:02:17.040
<v Speaker 4>Yeah.

1:02:17.640 --> 1:02:23.000
<v Speaker 3>Only smallpox and anthrax were estimated to be more expensive. Actually. Wow.

1:02:23.880 --> 1:02:28.680
<v Speaker 3>And although the US officially ended its bioweapon development program

1:02:28.760 --> 1:02:33.080
<v Speaker 3>in the early nineteen seventies, research on antibiotic and vaccine

1:02:33.120 --> 1:02:38.280
<v Speaker 3>resistant Francislo to lorensis as a bioweapon allegedly continued in

1:02:38.320 --> 1:02:41.720
<v Speaker 3>the Soviet Union until the early nineteen nineties, although this

1:02:41.800 --> 1:02:46.680
<v Speaker 3>has not been confirmed, but to this day, Francisla to

1:02:46.720 --> 1:02:51.360
<v Speaker 3>Lorensis is on the very short list of Category A

1:02:51.560 --> 1:02:55.560
<v Speaker 3>Select Agents by the CDC, which are organisms that quote

1:02:55.640 --> 1:02:58.960
<v Speaker 3>pose a risked national security because they can be easily

1:02:59.000 --> 1:03:03.040
<v Speaker 3>disseminated or transmitted from person to person, result in high

1:03:03.080 --> 1:03:06.840
<v Speaker 3>mortality rates, and have the potential for major public health impact,

1:03:07.440 --> 1:03:12.040
<v Speaker 3>might cause public panic and social disruption, and require special

1:03:12.120 --> 1:03:16.560
<v Speaker 3>action for public health preparedness. And it really is a

1:03:16.720 --> 1:03:25.360
<v Speaker 3>very short list. Anthrax, bachelism, plague, smallpox, some viral hemorrhagic fevers, Ebola, Marburg, Lasa, machupo,

1:03:26.120 --> 1:03:30.120
<v Speaker 3>and tularimia. That's it. That's it.

1:03:31.520 --> 1:03:34.040
<v Speaker 1>I did want to point out one thing about that list.

1:03:35.160 --> 1:03:36.360
<v Speaker 3>We have covered.

1:03:36.280 --> 1:03:39.240
<v Speaker 1>Almost every single thing on that list.

1:03:39.440 --> 1:03:45.080
<v Speaker 3>I know, we're still missing Lasa and Melissa, and that's it.

1:03:45.920 --> 1:03:46.160
<v Speaker 4>I know.

1:03:46.840 --> 1:03:51.800
<v Speaker 3>So wow wow, I know, and Marburg very recently, Yeah, exactly,

1:03:52.120 --> 1:03:56.680
<v Speaker 3>just a couple episodes ago, actually, But yeah, I think

1:03:56.760 --> 1:04:03.640
<v Speaker 3>that just underlines how seriously people take this bacterium, and

1:04:03.760 --> 1:04:07.200
<v Speaker 3>for very good reason, and because of this, and because

1:04:07.200 --> 1:04:10.800
<v Speaker 3>of all the other really fascinating aspects of the biology

1:04:10.840 --> 1:04:15.360
<v Speaker 3>of tularimia that you explored, aarin research on this pathogen

1:04:15.680 --> 1:04:19.560
<v Speaker 3>is still an incredibly active field. Yeah, And we're learning

1:04:19.640 --> 1:04:24.040
<v Speaker 3>so much more about this deadly microbe every year. So Aerin,

1:04:25.120 --> 1:04:29.200
<v Speaker 3>what can you tell me about Tulerymia today? Oh?

1:04:29.240 --> 1:04:32.200
<v Speaker 1>I can't wait to get into it right after a

1:04:32.240 --> 1:05:03.720
<v Speaker 1>short break. So, like you mentioned, aarin tuler Amia Francescla

1:05:03.800 --> 1:05:08.120
<v Speaker 1>toulorensis and all of its subspecies has really only been

1:05:08.280 --> 1:05:12.000
<v Speaker 1>found in the northern hemisphere. But in the northern hemisphere

1:05:12.040 --> 1:05:18.520
<v Speaker 1>it's reported very widely throughout North America, Europe, Russia, into Japan, China,

1:05:18.840 --> 1:05:22.360
<v Speaker 1>throughout a lot of Asia. Not really reported in the

1:05:22.440 --> 1:05:26.320
<v Speaker 1>southern hemisphere, although at least one subspecies has been found

1:05:26.400 --> 1:05:30.480
<v Speaker 1>in Australia at least one time, I don't know. But

1:05:30.680 --> 1:05:35.880
<v Speaker 1>throughout its range, tula Amia is generally considered an emerging

1:05:36.200 --> 1:05:40.720
<v Speaker 1>or re emerging disease. That is that over the last

1:05:40.920 --> 1:05:46.680
<v Speaker 1>twenty years, it's being found in expanded geographic ranges, popping

1:05:46.800 --> 1:05:49.160
<v Speaker 1>up in places that we didn't know that it was,

1:05:49.680 --> 1:05:53.240
<v Speaker 1>either because it wasn't there before or because we just

1:05:53.320 --> 1:05:57.920
<v Speaker 1>hadn't found it there before. Hard to say which. It's

1:05:57.960 --> 1:06:02.880
<v Speaker 1>being found in new hosts species same qualifiers. Was it

1:06:02.960 --> 1:06:04.240
<v Speaker 1>just not there or had we.

1:06:04.160 --> 1:06:04.840
<v Speaker 3>Not found it?

1:06:05.560 --> 1:06:08.920
<v Speaker 1>And it's popping back up in locations that it hadn't

1:06:08.920 --> 1:06:12.120
<v Speaker 1>been seen for quite some time. And this is true

1:06:12.360 --> 1:06:17.000
<v Speaker 1>really throughout its range and throughout all of the Northern Hemisphere.

1:06:17.080 --> 1:06:21.920
<v Speaker 1>It's not an even distribution across various countries or territories

1:06:22.000 --> 1:06:26.160
<v Speaker 1>or regions. This tends to be an infection that's more

1:06:26.240 --> 1:06:30.800
<v Speaker 1>common in rural areas of various countries. But it's not

1:06:31.200 --> 1:06:35.360
<v Speaker 1>entirely clear what all of the different determining factors are

1:06:35.960 --> 1:06:40.000
<v Speaker 1>that go into when you're going to have, say an

1:06:40.040 --> 1:06:45.680
<v Speaker 1>epizootic outbreak in animals, or an epidemic in humans, or

1:06:45.720 --> 1:06:50.320
<v Speaker 1>even sporadic cases. And part of that comes back to

1:06:50.440 --> 1:06:54.120
<v Speaker 1>that we don't really know what the environmental reservoirs are,

1:06:54.320 --> 1:06:57.280
<v Speaker 1>We don't really know what the conditions are that facilitate

1:06:57.400 --> 1:06:59.040
<v Speaker 1>this spread per se.

1:06:59.720 --> 1:07:05.640
<v Speaker 3>Yeah, it's so weirdly patchy, Yes, very patchy, and like

1:07:05.720 --> 1:07:08.240
<v Speaker 3>I can only imagine how many variables would go into

1:07:08.280 --> 1:07:12.400
<v Speaker 3>a model that would begin to try to estimate where

1:07:12.480 --> 1:07:15.720
<v Speaker 3>and when and how, And yeah.

1:07:15.280 --> 1:07:18.400
<v Speaker 1>I love thinking about it though, because it would be

1:07:18.440 --> 1:07:22.920
<v Speaker 1>such a complicated model. The other thing, too, is that

1:07:23.240 --> 1:07:28.160
<v Speaker 1>it's very patchy in terms of identification and reporting. Right

1:07:28.640 --> 1:07:32.440
<v Speaker 1>every different country or even different regions of different countries

1:07:32.560 --> 1:07:36.120
<v Speaker 1>might have different things that they're doing to both actively

1:07:36.240 --> 1:07:40.080
<v Speaker 1>surveil or passively surveil for this disease in animals and

1:07:40.160 --> 1:07:44.520
<v Speaker 1>in humans, and maybe are reporting it differently on a

1:07:44.520 --> 1:07:46.080
<v Speaker 1>country by country level.

1:07:46.360 --> 1:07:46.520
<v Speaker 3>Right.

1:07:47.960 --> 1:07:50.760
<v Speaker 1>One quote from a paper that I really liked that

1:07:50.880 --> 1:07:54.200
<v Speaker 1>kind of sums up why it is so difficult to

1:07:54.320 --> 1:07:58.760
<v Speaker 1>really understand what the kind of global prevalence and incidents

1:07:58.800 --> 1:08:04.720
<v Speaker 1>of this disease is. Sums up like this, end I quote. Thus,

1:08:04.880 --> 1:08:10.000
<v Speaker 1>a correct assessment requires extensive trapping of the primary mammalian

1:08:10.080 --> 1:08:13.960
<v Speaker 1>reservoirs of f to lourensis, such as rodents and lagomorphs,

1:08:14.400 --> 1:08:19.679
<v Speaker 1>and of vectors, ticks, flies, and mosquitoes. In most countries,

1:08:19.840 --> 1:08:24.600
<v Speaker 1>such epidemiological investigations are not made currently since they are

1:08:24.760 --> 1:08:27.200
<v Speaker 1>very time consuming and expensive.

1:08:28.240 --> 1:08:30.280
<v Speaker 3>End quote. Well, there you have it.

1:08:30.479 --> 1:08:34.040
<v Speaker 1>There, you have it, right, we don't know we're not

1:08:34.160 --> 1:08:36.680
<v Speaker 1>doing it. We need a one health approach, and we

1:08:36.800 --> 1:08:41.679
<v Speaker 1>mostly don't have one. Yeah, but we do have some things.

1:08:41.720 --> 1:08:43.720
<v Speaker 1>So let's go over some of the numbers that we

1:08:43.800 --> 1:08:49.880
<v Speaker 1>do have, shall we. In the US, the most recent

1:08:50.640 --> 1:08:55.240
<v Speaker 1>official like Morbidity Immortality Weekly report on this which sums

1:08:55.320 --> 1:08:57.679
<v Speaker 1>up data from two thousand and one to twenty ten

1:08:58.640 --> 1:09:02.400
<v Speaker 1>reported one thousand, two hundred and eight cases in the

1:09:02.520 --> 1:09:05.439
<v Speaker 1>US in that time, so that's an average a median

1:09:05.520 --> 1:09:08.040
<v Speaker 1>of about one hundred and twenty six cases per year.

1:09:09.720 --> 1:09:12.639
<v Speaker 1>Now on the CDC website you can also find much

1:09:12.680 --> 1:09:15.719
<v Speaker 1>more up to date data from every year since then.

1:09:16.400 --> 1:09:20.639
<v Speaker 1>So from twenty ten to twenty twenty, the numbers seem

1:09:20.680 --> 1:09:23.400
<v Speaker 1>to have gone up again. I can't tell you if

1:09:23.400 --> 1:09:27.240
<v Speaker 1>this is statistically significant because the reports are not out,

1:09:27.320 --> 1:09:31.240
<v Speaker 1>but just the raw numbers that exist tell us that

1:09:31.320 --> 1:09:34.080
<v Speaker 1>over the most recent ten years, the median number of

1:09:34.160 --> 1:09:37.960
<v Speaker 1>cases is two hundred and fourteen compared to one twenty

1:09:38.000 --> 1:09:41.960
<v Speaker 1>six the year before, and the range also is on

1:09:42.040 --> 1:09:44.960
<v Speaker 1>the higher end, between one hundred and forty nine and

1:09:45.040 --> 1:09:49.599
<v Speaker 1>three hundred and fourteen cases, so overall, greater numbers every year.

1:09:50.680 --> 1:09:51.240
<v Speaker 3>Interesting.

1:09:51.760 --> 1:09:57.360
<v Speaker 1>It is interesting in that timeframe the year with the

1:09:57.360 --> 1:10:00.479
<v Speaker 1>greatest number of cases in the US was twenty five fifteen,

1:10:00.760 --> 1:10:04.200
<v Speaker 1>where there were three hundred and fourteen cases reported. Over

1:10:04.280 --> 1:10:08.839
<v Speaker 1>one hundred of these were in Colorado, Nebraska, South Dakota,

1:10:08.880 --> 1:10:12.519
<v Speaker 1>and Wyoming. These are states that many years do see

1:10:13.080 --> 1:10:17.360
<v Speaker 1>some numbers of tularemia, but this was a huge increase

1:10:17.400 --> 1:10:20.520
<v Speaker 1>in those states. Compared to like the prior ten years combined.

1:10:21.320 --> 1:10:23.080
<v Speaker 1>So this is part of what I mean when I

1:10:23.120 --> 1:10:26.000
<v Speaker 1>say that this is an emerging and re emerging disease.

1:10:26.120 --> 1:10:29.720
<v Speaker 1>We're seeing sporadic cases here and there in places where

1:10:29.760 --> 1:10:34.080
<v Speaker 1>maybe it existed, but not necessarily to the extent that

1:10:34.120 --> 1:10:37.559
<v Speaker 1>we see today or in some years.

1:10:38.880 --> 1:10:43.519
<v Speaker 3>I'm curious about those strong year to year fluctuations because

1:10:43.520 --> 1:10:46.760
<v Speaker 3>it makes me think about, like, okay, our rodent populations

1:10:46.880 --> 1:10:50.080
<v Speaker 3>going up, and was it a really strong, you know,

1:10:50.240 --> 1:10:53.320
<v Speaker 3>rainy year the year before where there's a lot of whatever,

1:10:53.600 --> 1:10:56.880
<v Speaker 3>you know, more nuts of a certain kind.

1:10:57.560 --> 1:11:00.400
<v Speaker 1>Oh, Aaron Brian Allen would be so pro out of

1:11:00.560 --> 1:11:04.720
<v Speaker 1>u U disease ecolleges U. But yes, that is one

1:11:04.760 --> 1:11:08.439
<v Speaker 1>of the possible thoughts on an explanation. Is it there

1:11:08.720 --> 1:11:12.280
<v Speaker 1>may have been increased rainfall which promotes vegetation growth and

1:11:12.479 --> 1:11:16.040
<v Speaker 1>potentially pathogen survival in the environment and then leads to

1:11:16.120 --> 1:11:21.559
<v Speaker 1>increased rodent and rabbit populations. Again very allah lime disease.

1:11:22.040 --> 1:11:26.160
<v Speaker 3>Yeah, where you have these very complex cycles that really

1:11:26.200 --> 1:11:29.040
<v Speaker 3>require a very integrated approach to be able to understand.

1:11:29.360 --> 1:11:33.120
<v Speaker 3>But even more complicated because it's not just one or

1:11:33.160 --> 1:11:36.599
<v Speaker 3>two or a few species that we have to look

1:11:36.640 --> 1:11:42.320
<v Speaker 3>at right, right, a vector and reservoir and et cetera.

1:11:43.000 --> 1:11:44.360
<v Speaker 3>So that's the US.

1:11:44.960 --> 1:11:48.439
<v Speaker 1>In Europe, the European Centers for Disease Control and Prevention

1:11:49.000 --> 1:11:53.840
<v Speaker 1>also collects data on tulurimia. It's a notifiable disease, but

1:11:54.560 --> 1:11:58.240
<v Speaker 1>each country, each member state of the EU has different

1:11:58.280 --> 1:12:03.439
<v Speaker 1>surveillance systems and different degrees of public awareness. But let's

1:12:03.479 --> 1:12:07.280
<v Speaker 1>go over some numbers, shall we. Between nineteen ninety two

1:12:07.439 --> 1:12:12.400
<v Speaker 1>and twenty twelve, over eighteen thousand cases were reported to

1:12:12.560 --> 1:12:17.720
<v Speaker 1>either the World Health Organization or the ECDC. The majority

1:12:17.760 --> 1:12:21.600
<v Speaker 1>of these were in Finland, Sweden, and Turkey, like the

1:12:21.680 --> 1:12:26.120
<v Speaker 1>highest numbers overall. And then there's a more recent paper

1:12:26.160 --> 1:12:29.719
<v Speaker 1>from twenty twenty one that reported that in that year,

1:12:29.960 --> 1:12:33.800
<v Speaker 1>just over eight hundred cases of tularemia in humans were

1:12:33.840 --> 1:12:38.800
<v Speaker 1>reported across twenty six member countries. That was an increase

1:12:39.000 --> 1:12:42.920
<v Speaker 1>over twenty twenty and an increase over the average of

1:12:43.040 --> 1:12:47.080
<v Speaker 1>twenty seventeen to twenty nineteen, though in twenty nineteen there

1:12:47.160 --> 1:12:50.759
<v Speaker 1>was a large outbreak in Sweden, so the total number

1:12:50.800 --> 1:12:54.160
<v Speaker 1>that year was over twelve hundred. And then Aaron, just

1:12:54.200 --> 1:12:58.439
<v Speaker 1>because you mentioned Russia so much, and those numbers back

1:12:58.520 --> 1:13:01.679
<v Speaker 1>in the Soviet in the former Soviet Union, I did

1:13:01.720 --> 1:13:06.799
<v Speaker 1>find one paper that reported in twenty nineteen only forty

1:13:06.840 --> 1:13:09.479
<v Speaker 1>two cases reported in Russia.

1:13:09.760 --> 1:13:14.559
<v Speaker 3>Wow, right, way better, way better those there some much

1:13:14.760 --> 1:13:17.800
<v Speaker 3>much better numbers. Yeah. Yeah.

1:13:17.840 --> 1:13:21.120
<v Speaker 1>But in addition to this geographic variation, the other thing

1:13:21.120 --> 1:13:24.639
<v Speaker 1>that we see with tularemia is seasonal variation, which isn't

1:13:24.760 --> 1:13:27.920
<v Speaker 1>surprising since we do have a lot of arthropod born

1:13:28.320 --> 1:13:35.080
<v Speaker 1>infection and environmental transmission. Really, so it's northern hemisphere summer

1:13:35.120 --> 1:13:38.559
<v Speaker 1>months that tends to have the highest number of cases.

1:13:38.760 --> 1:13:42.280
<v Speaker 1>But this of course varies right across all of Europe

1:13:42.360 --> 1:13:45.880
<v Speaker 1>and between Europe and North America. Different states in the

1:13:46.000 --> 1:13:49.000
<v Speaker 1>US report cases year round. Oh, there's not so much,

1:13:49.080 --> 1:13:52.920
<v Speaker 1>et cetera, et cetera. But that's at least what we

1:13:53.240 --> 1:14:01.760
<v Speaker 1>know of the epidemiology of tularemia across its distribution. I

1:14:01.800 --> 1:14:04.879
<v Speaker 1>do think that one of the things that's most interesting

1:14:05.000 --> 1:14:09.080
<v Speaker 1>scary about it is that we do seem to be

1:14:09.120 --> 1:14:12.080
<v Speaker 1>seeing these increases, right, and how much of that is

1:14:12.240 --> 1:14:16.240
<v Speaker 1>just better surveillance versus true increases.

1:14:16.320 --> 1:14:19.280
<v Speaker 3>We don't know. We really don't know, right, And it

1:14:19.280 --> 1:14:21.280
<v Speaker 3>seems like there's still so much that we don't know

1:14:21.600 --> 1:14:26.400
<v Speaker 3>about the ecology that getting an answer to that is

1:14:27.439 --> 1:14:33.320
<v Speaker 3>not going to be possible without more research exactly.

1:14:34.800 --> 1:14:37.559
<v Speaker 1>Speaking of more research, in addition, I think to this

1:14:37.920 --> 1:14:40.800
<v Speaker 1>one health approach and a better understanding of not just

1:14:40.960 --> 1:14:45.040
<v Speaker 1>the incidents and prevalence in humans but in animals and

1:14:45.080 --> 1:14:48.479
<v Speaker 1>the ecology of this infection and all of that, I

1:14:48.520 --> 1:14:51.839
<v Speaker 1>think that that's a really important part of the future

1:14:51.880 --> 1:14:54.479
<v Speaker 1>research that is being done, that needs to be done.

1:14:55.000 --> 1:14:58.360
<v Speaker 1>But the other part of this, of course is the vaccines,

1:14:59.200 --> 1:15:03.400
<v Speaker 1>of which we don't half one currently, not one that's licensed.

1:15:04.120 --> 1:15:08.559
<v Speaker 1>There was a vaccine, it was a live vaccine, It

1:15:08.760 --> 1:15:14.480
<v Speaker 1>was effective, It was based on the whole Arctica subspecies,

1:15:14.920 --> 1:15:19.519
<v Speaker 1>but had at least some efficacy against the more virulent

1:15:19.640 --> 1:15:23.800
<v Speaker 1>Toulurancis subspecies. But part of the reason that it was

1:15:23.920 --> 1:15:27.960
<v Speaker 1>never fully licensed in the US, at least by the FDA,

1:15:28.320 --> 1:15:31.479
<v Speaker 1>is in part because we did not and still don't

1:15:31.800 --> 1:15:38.080
<v Speaker 1>understand the mechanisms by which this vaccine derived strain was

1:15:38.200 --> 1:15:42.920
<v Speaker 1>attenuated was made to be even less virulent. Ah, And

1:15:43.000 --> 1:15:45.920
<v Speaker 1>because we didn't understand that, and we still don't really

1:15:46.040 --> 1:15:49.920
<v Speaker 1>understand the virulence of this pathogen, how does it make

1:15:50.000 --> 1:15:51.720
<v Speaker 1>us so sick. Why does this one make us so

1:15:51.800 --> 1:15:54.439
<v Speaker 1>much sicker than the other. There's a lot of concern

1:15:54.520 --> 1:15:58.599
<v Speaker 1>that this could easily revert to a more pathogenic strain.

1:16:00.080 --> 1:16:03.000
<v Speaker 1>So for longtime listeners, you might remember from our vaccines

1:16:03.040 --> 1:16:06.000
<v Speaker 1>episode that there's a lot of different types of vaccines

1:16:06.000 --> 1:16:08.679
<v Speaker 1>that exist, and there's pros and cons to all of these.

1:16:09.600 --> 1:16:14.000
<v Speaker 1>With live vaccines, which are a live virus, these are

1:16:14.120 --> 1:16:18.160
<v Speaker 1>a strain of virus that gives us a very robust

1:16:18.439 --> 1:16:25.719
<v Speaker 1>immune response, really good usually long lasting immunity, but without

1:16:26.120 --> 1:16:31.599
<v Speaker 1>any illness, without a real infection per se. But with

1:16:31.840 --> 1:16:37.520
<v Speaker 1>live vaccines, there's the possibility that these vaccine derived, attenuated,

1:16:37.720 --> 1:16:41.760
<v Speaker 1>less virulent strains can gain some of those vrulance factors

1:16:42.080 --> 1:16:46.080
<v Speaker 1>back and then actually cause disease. And we see this

1:16:46.200 --> 1:16:50.000
<v Speaker 1>on occasion with things like the live polio vaccine, for example,

1:16:50.600 --> 1:16:54.000
<v Speaker 1>and that's why across the globe, we really don't use

1:16:54.080 --> 1:16:57.920
<v Speaker 1>that vaccine in most of the world. Because polio is

1:16:58.080 --> 1:17:03.040
<v Speaker 1>no longer in most of the world, the risk benefit

1:17:03.120 --> 1:17:07.960
<v Speaker 1>analysis has changed, so we now use an inactivated, injected

1:17:08.040 --> 1:17:11.639
<v Speaker 1>vaccine for most people that are getting vaccinated with polio.

1:17:12.640 --> 1:17:16.080
<v Speaker 1>When it comes to tularemia, the risk benefit analysis is

1:17:16.160 --> 1:17:18.519
<v Speaker 1>already going to be very different because this is a

1:17:18.720 --> 1:17:23.080
<v Speaker 1>rare disease, right, so the risk of using a live

1:17:23.200 --> 1:17:26.599
<v Speaker 1>virus that has the potential to revert to something more

1:17:26.720 --> 1:17:30.519
<v Speaker 1>virulent is already like that calculus is already different than

1:17:30.560 --> 1:17:34.000
<v Speaker 1>something that's very prevalent. Does that make sense, Yes, yeah,

1:17:34.080 --> 1:17:37.200
<v Speaker 1>no it does. So there's a lot of research being

1:17:37.200 --> 1:17:39.960
<v Speaker 1>done and in the US, especially since two thousand and one,

1:17:40.160 --> 1:17:44.160
<v Speaker 1>when the anthrax letters came and were a thing and

1:17:44.320 --> 1:17:49.599
<v Speaker 1>the fear of a bio weapon attack kind of increased again,

1:17:50.560 --> 1:17:54.200
<v Speaker 1>there has been a ton of research on alternative vaccines,

1:17:54.320 --> 1:17:59.640
<v Speaker 1>alternative live vaccines, killed vaccines, component vaccines, and all the

1:17:59.640 --> 1:18:04.720
<v Speaker 1>different types of vaccines. For tulerimia, we still don't have one.

1:18:06.240 --> 1:18:09.400
<v Speaker 1>All of the other vaccine types so far just haven't

1:18:09.439 --> 1:18:13.680
<v Speaker 1>come to fruition in a way that has led to

1:18:14.000 --> 1:18:18.800
<v Speaker 1>a vaccine coming to market, essentially. But I do have

1:18:18.840 --> 1:18:20.680
<v Speaker 1>a great paper. It's a little old now, it's from

1:18:20.720 --> 1:18:23.680
<v Speaker 1>twenty fifteen, but it kind of goes over what we

1:18:23.800 --> 1:18:26.639
<v Speaker 1>had so far and where we may go from here.

1:18:28.160 --> 1:18:31.400
<v Speaker 1>But that's tulaimia.

1:18:31.280 --> 1:18:33.160
<v Speaker 3>So much more to it than I thought. I know,

1:18:33.240 --> 1:18:34.439
<v Speaker 3>I say that a lot, but.

1:18:36.640 --> 1:18:40.800
<v Speaker 1>Yeah, it's I underestimated. It won't do that again.

1:18:42.200 --> 1:18:46.960
<v Speaker 3>Yeah, certainly not. I want to keep an eye on

1:18:47.240 --> 1:18:50.400
<v Speaker 3>Colorado numbers in the next few years, see if these

1:18:51.439 --> 1:18:55.320
<v Speaker 3>this rainy spring will have any impact down the line. Oh,

1:18:55.479 --> 1:18:57.360
<v Speaker 3>I'm so here. We'll have to do an update episode

1:18:57.479 --> 1:19:05.200
<v Speaker 3>Erin source sources, I have so many because I think

1:19:05.200 --> 1:19:08.800
<v Speaker 3>I just like pulled snippets from a thousand papers. I'm

1:19:08.800 --> 1:19:11.559
<v Speaker 3>going to shout out three right now, but there are

1:19:11.600 --> 1:19:14.840
<v Speaker 3>so many more out there. For the history, I really

1:19:14.880 --> 1:19:19.559
<v Speaker 3>liked a paper by Suistat from two thousand and seven

1:19:19.800 --> 1:19:26.599
<v Speaker 3>called Tulaimia History, Epidemiology, pathogen Physiology and Clinical Manifestations. And

1:19:26.880 --> 1:19:32.280
<v Speaker 3>for the bioweapon aspects of Tulerimia, there's a great paper

1:19:32.439 --> 1:19:37.960
<v Speaker 3>by oystin at All from two thousand and four called

1:19:38.000 --> 1:19:43.920
<v Speaker 3>Tularemia Bioterrorism Defense Renews Interest In Francisselo to Lorenzis, I

1:19:43.960 --> 1:19:47.600
<v Speaker 3>read that paper too. I liked it a lot. Yeah.

1:19:47.920 --> 1:19:50.559
<v Speaker 1>I had for the biology a couple of other also

1:19:50.680 --> 1:19:54.639
<v Speaker 1>older papers, but they were really nice. One from Jamma

1:19:54.680 --> 1:19:56.719
<v Speaker 1>in two thousand and one that was called tula Reimia

1:19:56.760 --> 1:19:59.720
<v Speaker 1>as a Biological Weapon, Medical and Public Health Management. That

1:19:59.760 --> 1:20:02.760
<v Speaker 1>was a fun one, uh, huh. I wrote that one,

1:20:03.439 --> 1:20:07.080
<v Speaker 1>and then I had a whole bunch of papers updating

1:20:07.200 --> 1:20:11.120
<v Speaker 1>the epidemiology in the US and in Europe and across

1:20:11.160 --> 1:20:15.679
<v Speaker 1>its range. We'll post the sources from this episode every

1:20:16.000 --> 1:20:18.640
<v Speaker 1>one of our episodes on our website This podcast will

1:20:18.680 --> 1:20:20.559
<v Speaker 1>Kill You dot Com under the episodes tab.

1:20:21.960 --> 1:20:25.000
<v Speaker 3>Thank you to Bloodmobile for providing the music for this

1:20:25.080 --> 1:20:27.160
<v Speaker 3>episode and all of our episodes.

1:20:27.680 --> 1:20:30.839
<v Speaker 1>Thank you to Leona Scilacci for all of the wonderful

1:20:30.880 --> 1:20:33.960
<v Speaker 1>sound mixing. We appreciate it so much we do.

1:20:34.800 --> 1:20:37.880
<v Speaker 3>Thank you to Exactly Right, and thank you to you listeners.

1:20:38.560 --> 1:20:41.800
<v Speaker 3>I hope you liked this episode. Yeah, hope you learned

1:20:41.800 --> 1:20:44.960
<v Speaker 3>something new. That's pretty much our goal every single time,

1:20:45.200 --> 1:20:50.640
<v Speaker 3>every time literally, yeah yeah. And thank you to our wonderful,

1:20:50.720 --> 1:20:54.760
<v Speaker 3>generous patrons. We appreciate you and your amazing support so

1:20:54.960 --> 1:20:59.720
<v Speaker 3>very much, so much. Well, until next time, wash your

1:20:59.800 --> 1:21:18.040
<v Speaker 3>hand and you feel the animals u u

1:21:21.920 --> 1:21:21.960
<v Speaker 1>U