WEBVTT - What's the deal with colostrum?

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<v Speaker 1>Emily, when you pitch the idea of talking about colostrum

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<v Speaker 1>to me, I thought of the human substance that comes

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<v Speaker 1>from that comes from breasts, yep, after a mother has

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<v Speaker 1>a baby. And you were like, no, no, no, it's

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<v Speaker 1>huge in the endurance athlete space. And I have like

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<v Speaker 1>these horrifying visions of like human women in factories, this

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<v Speaker 1>totally dystopian view. And then I learned that this is

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<v Speaker 1>not humans where this colostrum is coming from, Thank you God.

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<v Speaker 2>It is still a little dystopian, and we can get

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<v Speaker 2>into the baby cows. But I will tell you that

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<v Speaker 2>when people first started asking me about should I take colostrum?

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<v Speaker 3>I assumed that they were talking about their.

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<v Speaker 2>Own colostrum, And often this question was phrased like should

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<v Speaker 2>my husband take colostrum? And it's like, well, there's only

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<v Speaker 2>a tiny amount of it, Like you know, if you

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<v Speaker 2>have a baby, that colostrum, it's like the first milk

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<v Speaker 2>that comes in. It's thicker, it's more yellow, but it's

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<v Speaker 2>like so little, and it's like you're desperately trying to

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<v Speaker 2>get some of it out for your baby.

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<v Speaker 3>It's like, fuck you, what do you mean? Your husband's like.

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<v Speaker 1>This guy's got a marathon tomorrow.

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<v Speaker 3>So what are you going to go?

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<v Speaker 1>Cycle? Like? Are you kidding me?

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<v Speaker 2>And So we are talking about bovine colostrum in this episode,

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<v Speaker 2>not human colostrum, which is a great food for babies,

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<v Speaker 2>but should not be shared with your spouse even if

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<v Speaker 2>they have a large endurance event.

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<v Speaker 3>Coming up shortly.

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<v Speaker 1>Cal colostrum coming right up.

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<v Speaker 2>I'm Emily Oster. I'm an economist and a data expert.

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<v Speaker 1>And I'm Perry Wilson, I'm a medical doctor.

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<v Speaker 2>It's Thursday, May seventh, twenty twenty six. And this is

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<v Speaker 2>wellness actually.

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<v Speaker 1>Because you're getting a staggering amount of health and wellness

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<v Speaker 1>information nowadays from every source imaginable, and some of it

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<v Speaker 1>is awesome and some.

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<v Speaker 3>Of it is well actually both.

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<v Speaker 2>Fortunately we are both people who know how to read studies,

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<v Speaker 2>how to parse the data, and can tell you what's

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<v Speaker 2>worth thinking about and what you can safely ignore.

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<v Speaker 1>But before we dig in, a note that this podcast

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<v Speaker 1>is for educational purposes and should not be construed as

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<v Speaker 1>medical advice. We don't know your unique situation, so talk

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<v Speaker 1>to your doctor for personal health decisions.

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<v Speaker 2>This week we're asking what's the deal with colostrum? Perry

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<v Speaker 2>and I will give the official Smasher pass and then

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<v Speaker 2>we'll get to your question of the week. But first

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<v Speaker 2>let's do the health news roundup after the break, and

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<v Speaker 2>now for the health news of the week, Perry, I

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<v Speaker 2>want to start with a new trial in alcohol use

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<v Speaker 2>disorder about ozembic, which I thought was really exciting.

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<v Speaker 3>Did you think this was exciting?

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<v Speaker 1>This is super exciting. The context here is that since

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<v Speaker 1>ozepic has been a thing and been in diabetes and

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<v Speaker 1>weight loss trials, there has been this, I don't know

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<v Speaker 1>if you even want to call it a side effect,

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<v Speaker 1>like an additional effect, which has been reported, which is

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<v Speaker 1>people saying I'm not drinking as much alcohol and other

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<v Speaker 1>things like not smoking as much, other sort of compulsive behaviors.

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<v Speaker 1>But it hadn't really been formally tested, like let's do

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<v Speaker 1>a trial specifically with this as the outcome. It was

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<v Speaker 1>always just sort of icing on the cake. But this

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<v Speaker 1>week we have a new randomized trial appearing in the Lancet,

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<v Speaker 1>which randomized one hundred and eight participants about half men,

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<v Speaker 1>half women. They all had alcohol use disorder. They all

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<v Speaker 1>also had obesity, so they did have a like an

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<v Speaker 1>FDA indication for ozempic. But the purpose of this trial

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<v Speaker 1>was to see if the people that got ozepic versus

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<v Speaker 1>placebo would have a reduction in days with heavy drinking,

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<v Speaker 1>and indeed, they did a forty one percent reduction in

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<v Speaker 1>the ozepic group compared to a twenty six percent reduction

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<v Speaker 1>in the placebo group. That was statistically significant, and there

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<v Speaker 1>was a bunch of other secondary effects that also suggested

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<v Speaker 1>significantly less drinking. So, I mean, it's good news.

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<v Speaker 3>It's really good news.

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<v Speaker 2>I mean, we have relatively little treatment for alcohol use disorder.

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<v Speaker 3>There are some.

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<v Speaker 2>Medications, but they have pretty substantial side effects that make

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<v Speaker 2>people not want to use them. They basically work by

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<v Speaker 2>making drinking very unpleasant, and so this obviously works in

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<v Speaker 2>a different way, and people describe it, at least anecdotally,

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<v Speaker 2>it's more like you just don't want to drink, which

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<v Speaker 2>is obviously much better than wanting to drink but then

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<v Speaker 2>feeling bad when you do. So I thought this was

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<v Speaker 2>really exciting. I think we'll be seeing more like this.

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<v Speaker 2>I'd like to see some work on narcotics also, but

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<v Speaker 2>I think that's probably down the line.

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<v Speaker 1>Yeah, one hundred percent. I mean the big caveat here

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<v Speaker 1>is that it does make you lose weight, and so

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<v Speaker 1>this is not necessarily a therapy for people who are

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<v Speaker 1>of normal weight to begin with, or you know, at

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<v Speaker 1>some people with severe alcohol and drug use to sort

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<v Speaker 1>of have are quite a bit underweight, so that'll sort

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<v Speaker 1>of take this out of the picture for them. But

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<v Speaker 1>really interesting to see some corroboration of the observational data

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<v Speaker 1>on ozepic and alcohol use disorder. We need to close

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<v Speaker 1>the book on perennial Surgeon General candidate doctor Casey Means, Emily,

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<v Speaker 1>we the saga is over. I like to think we played,

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<v Speaker 1>you know, perhaps a small part in the saga. So

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<v Speaker 1>talk to me about no longer surgeon General candidate Casey Means,

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<v Speaker 1>and where we are with this position that has been

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<v Speaker 1>vacant for a long for a very long time.

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<v Speaker 3>Yeah.

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<v Speaker 2>So, so the surgeon general position has been vacant for

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<v Speaker 2>a long time. I think it's an interesting question of

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<v Speaker 2>kind of is that something we should be concerned about

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<v Speaker 2>the surgeon general is it's some ways a largely symbolic

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<v Speaker 2>role and so we're not exactly missing a lot of

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<v Speaker 2>things milestones, let's say, but it is a role that

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<v Speaker 2>needs to be filled. Casey Means has been on the

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<v Speaker 2>ropes in terms of approval. For many months now, it's

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<v Speaker 2>been she I think was caught up in this in

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<v Speaker 2>the backlash wave to some of the anti vax activities

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<v Speaker 2>of the RFK administration.

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<v Speaker 3>You know, people have lost patients. Some people have lost

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<v Speaker 3>patients with the resistance to vaccines.

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<v Speaker 1>As more and more, Senator.

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<v Speaker 2>Cassidy noticed a lot of piece people got measles. And

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<v Speaker 2>he noticed that whatever deal he had made with Kennedy

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<v Speaker 2>was not followed through on. And he's had enough and

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<v Speaker 2>that has tanked the nomination. The White House was not

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<v Speaker 2>interested in getting losing further capital on this, and they

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<v Speaker 2>have now nominated someone named Nicole Safire Leaves how you

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<v Speaker 2>say her name? Who seems like a very standard up

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<v Speaker 2>the middle of candidate.

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<v Speaker 1>Yeah, up the middle for this administration. I would say,

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<v Speaker 1>doctor Perry. She's an actual I'll take it. I will

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<v Speaker 1>tell she's a doctor. She's a real doctor. She's a

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<v Speaker 1>breast radiologist at Memorial Sloan kettering.

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<v Speaker 3>As a reasonable she's a Fox News contributor. But she's

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<v Speaker 3>a real doctor.

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<v Speaker 2>And I feel like that's my that's my bark's doctor.

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<v Speaker 1>Great go, and I imagine she will get confirmed unless

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<v Speaker 1>the position is truly cursed, as we have speculated on

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<v Speaker 1>earlier episodes of this podcast.

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<v Speaker 3>Thanks for be confirmed.

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<v Speaker 2>We have to say, all right, last question, there is

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<v Speaker 2>an outbreak of a haunt of virus on a cruise ship.

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<v Speaker 2>People are stuck on this cruise ship off the coast

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<v Speaker 2>of I believe West Africa, and a lot of them

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<v Speaker 2>have haunted virus. Please tell us what is that and

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<v Speaker 2>should people be concerned about it?

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<v Speaker 1>Yeah, let's let's do the haunt of virus primer. So.

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<v Speaker 1>Hantavirus is an RNA virus that exists all over the world.

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<v Speaker 1>It is carried by rodents. The rodents generally are asymptomatic,

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<v Speaker 1>so they just kind of carried around and they leave

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<v Speaker 1>it in their feces and urine, and then when you

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<v Speaker 1>go to clean up feces and urine, that virus gets aerosolized.

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<v Speaker 1>You inhale it and it can cause very severe disease

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<v Speaker 1>in the New World. There are two main forms of hantavirus,

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<v Speaker 1>two species. The one that we would worry about here

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<v Speaker 1>is called Andy's virus, which is common in Argentina where

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<v Speaker 1>the cruise ship left from. Andy's virus has two notable features.

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<v Speaker 1>One is that it is the most lethal of the

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<v Speaker 1>Haunt of viruses, with about a thirty to fifty percent

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<v Speaker 1>case mortality rate. Also, it's the only Hanta virus that

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<v Speaker 1>has been shown to be capable of transmission person to

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<v Speaker 1>person as opposed to mause to person. Okay, that all

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<v Speaker 1>sounds scary, but to turn this down, I'm going to

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<v Speaker 1>turn this down just a little bit. You know, so far,

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<v Speaker 1>I think there are only five people with conf that

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<v Speaker 1>have symptoms. Now, three people have died from this, so

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<v Speaker 1>I mean this is severe on the cruise ship, but

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<v Speaker 1>it's not like the whole cruise ship was infected. I

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<v Speaker 1>think that's important. Also, two of the people that died

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<v Speaker 1>were husband and wife, So if there was person to

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<v Speaker 1>person transmission, which is suspected in Andy's virus, it does

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<v Speaker 1>require very close contact and like exchange of bodily fluids

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<v Speaker 1>and things like that. This is not an airborne virus,

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<v Speaker 1>so you know, the public health risk is quite low

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<v Speaker 1>unless you're interacting extremely closely with someone who's infected. The

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<v Speaker 1>argument to quarantine this ship is actually not strong. I

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<v Speaker 1>don't think because of that. The risk really comes from

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<v Speaker 1>the droppings, not from the people who are infected who

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<v Speaker 1>need to be in hospitals and getting very close supportive care.

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<v Speaker 1>There's no treatment, but you know they need to be

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<v Speaker 1>an intensive care unit.

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<v Speaker 3>Yeah.

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<v Speaker 2>But on the other hand, people, We're hundreds of years

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<v Speaker 2>into people being concerned about diseases on boats being spread

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<v Speaker 2>to the population, and so I'm not that surprised that

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<v Speaker 2>we are quarantining this ship. I do want to say

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<v Speaker 2>that a lot of people do get sick on cruise ships,

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<v Speaker 2>but this is not like a major risk factor on

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<v Speaker 2>cruise ships. The main disease you get on the cruise

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<v Speaker 2>ship is a neural virus, which is almost one hundred

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<v Speaker 2>percent chance of getting Yeah.

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<v Speaker 1>Oh yeah, Once nora virus breaks out, it's it is

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<v Speaker 1>all over.

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<v Speaker 3>You're getting it. But this is rare, Although obviously scary,

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<v Speaker 3>it does.

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<v Speaker 1>Add to my ever growing list of reasons I never

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<v Speaker 1>want to go on a cruise. But this is the

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<v Speaker 1>first case I've seen of hantavirus.

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<v Speaker 3>Don't I don't go on boats due to stomach issues.

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<v Speaker 1>We should just say people, if you're cleaning up your

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<v Speaker 1>house and you're worried about mouse or rat droppings, you

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<v Speaker 1>want to spray those with a bleach containing solution before

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<v Speaker 1>you clean them up, and ideally not vacuum because that

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<v Speaker 1>can really aerosolize things. There is hantavirus in the US.

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<v Speaker 1>Gene Hackman's wife died of hantavirus, although apparently there were

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<v Speaker 1>a lot of There was a pretty bad roadent infestation

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<v Speaker 1>in the house. So you know, be careful, but there'sn't

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<v Speaker 1>something to panic about quite yet.

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<v Speaker 2>Be careful, but don't panic. Yep, all right, that's it

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<v Speaker 2>for the health news of the week. After the break.

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<v Speaker 3>What's the deal with colostrum?

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<v Speaker 4>This is raw colostrum so powerful it's actually banned in

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<v Speaker 4>NC DOUBLEA. Yes, college sports banned colostrum because it contains

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<v Speaker 4>IGF one, insulin like growth factor one. It's associated with

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<v Speaker 4>increased muscle growth and vitality, increased levels of HDL and humans.

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<v Speaker 4>Colostrum muscle contains a ton of different immune globulins which

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<v Speaker 4>support the health of the gut. Also proleine rich peptides

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<v Speaker 4>like colosterrne and that support the immune system and the thymus.

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<v Speaker 1>This stuff is liquid gold.

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<v Speaker 4>It's the first milk cows give to their calves and

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<v Speaker 4>it helps program their gut and across species, mammalian milk

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<v Speaker 4>is very healthy for humans. So if you can find

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<v Speaker 4>somewhere to get a colostrum, probably a raw colostrum. This

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<v Speaker 4>stuff is incredible for your gut, for your immune system,

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<v Speaker 4>incredible for muscle growth and recovery.

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<v Speaker 1>I love this stuff. However you can get it.

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<v Speaker 4>Colossrum is a super food banned by the NC DOUBLEA

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<v Speaker 4>good for me, good for you. This stuff is amazing.

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<v Speaker 4>I'm going to go home and drink a bunch of

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<v Speaker 4>colostrum right now.

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<v Speaker 2>I love that clip, Perry, because I think I think

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<v Speaker 2>it illustrates a very common wellness influencer talking point, which is,

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<v Speaker 2>you know this is like why would they ban this

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<v Speaker 2>if it wasn't great?

0:12:09.040 --> 0:12:11.560
<v Speaker 1>I mean we've made that talking point several timetally.

0:12:12.000 --> 0:12:14.200
<v Speaker 2>Yes, I'm always making that point, like, you know, this

0:12:14.240 --> 0:12:15.960
<v Speaker 2>must be good for performance if they ban it in

0:12:16.040 --> 0:12:20.480
<v Speaker 2>professional cycling. So I'm convinced. But before we talk about

0:12:20.480 --> 0:12:23.960
<v Speaker 2>how we should all be consuming the milk of that

0:12:24.200 --> 0:12:26.800
<v Speaker 2>is intended for baby cows, I think we should talk

0:12:26.840 --> 0:12:32.040
<v Speaker 2>about what this is and why it might be helpful.

0:12:32.080 --> 0:12:33.760
<v Speaker 2>So let me start with the what it is, and

0:12:33.800 --> 0:12:35.960
<v Speaker 2>then I'm going to pass to you for like what

0:12:36.559 --> 0:12:39.000
<v Speaker 2>might possibly be going on, which is, you know, so

0:12:39.400 --> 0:12:42.520
<v Speaker 2>bovine colostrum is the colostrum from cows literally, so it's

0:12:42.559 --> 0:12:46.160
<v Speaker 2>the first milk that is produced by the female lady

0:12:46.200 --> 0:12:51.479
<v Speaker 2>cow after she calves, and it has like human colostrum

0:12:51.520 --> 0:12:54.439
<v Speaker 2>has a different composition than more mature human breast milk.

0:12:54.640 --> 0:13:00.480
<v Speaker 2>Bovine colostrum has a different concentration of various features than

0:13:01.200 --> 0:13:04.520
<v Speaker 2>mature milk. And the idea is that somehow this would

0:13:04.600 --> 0:13:09.840
<v Speaker 2>be helpful for something. And I actually, relative to some

0:13:09.960 --> 0:13:13.920
<v Speaker 2>of the things we talk about, those fill ins are

0:13:13.960 --> 0:13:17.280
<v Speaker 2>to me very vague. This is a lot of it

0:13:17.360 --> 0:13:20.600
<v Speaker 2>feels like that influencer clip where it's just a list

0:13:20.640 --> 0:13:23.120
<v Speaker 2>of things that one might be interested in and how

0:13:23.160 --> 0:13:26.319
<v Speaker 2>they might be good here, but with no real connection. Yeah,

0:13:26.360 --> 0:13:30.559
<v Speaker 2>so is there something biologically behind anything here?

0:13:31.040 --> 0:13:34.640
<v Speaker 1>Yeah, it's always so complicated when we're talking about like

0:13:34.760 --> 0:13:39.800
<v Speaker 1>a natural substance instead of a chemical or a single chemical. Right,

0:13:40.040 --> 0:13:41.839
<v Speaker 1>even when we talk about something like as simple as

0:13:41.920 --> 0:13:43.880
<v Speaker 1>coffee and like, oh, this study showed that you know,

0:13:43.920 --> 0:13:46.160
<v Speaker 1>coffee was beneficial for X, Y or Z, And it's like, okay,

0:13:46.160 --> 0:13:49.480
<v Speaker 1>well coffee is eight million different things, right, Yes, there's caffeine,

0:13:49.480 --> 0:13:51.440
<v Speaker 1>but there's also all this other stuff, and it's very

0:13:51.480 --> 0:13:55.400
<v Speaker 1>hard to untangle, and colossrum is no different. It is

0:13:55.720 --> 0:14:00.959
<v Speaker 1>clearly a biologically very important substance. All mammals produce colostrum

0:14:01.120 --> 0:14:03.400
<v Speaker 1>before they produce milk, and as you pointed out, it

0:14:03.480 --> 0:14:05.559
<v Speaker 1>is quite a bit different from like, you know, the

0:14:05.840 --> 0:14:09.160
<v Speaker 1>milk that comes in later, and animals that don't get

0:14:09.240 --> 0:14:14.640
<v Speaker 1>colostrum from their mother early certainly do worse in a

0:14:14.760 --> 0:14:18.280
<v Speaker 1>variety of ways. So it is something important. I think

0:14:18.280 --> 0:14:20.440
<v Speaker 1>when I was kind of listening to you know, what

0:14:20.760 --> 0:14:23.960
<v Speaker 1>influencers are talking about and people who support colostrum a lot,

0:14:24.040 --> 0:14:27.080
<v Speaker 1>there's a few substances in there that kind of keep

0:14:27.120 --> 0:14:29.760
<v Speaker 1>getting mentioned, and I think we'll probably want to focus

0:14:29.760 --> 0:14:33.880
<v Speaker 1>on those as like the biologically relevant ones. The first

0:14:33.920 --> 0:14:37.560
<v Speaker 1>is probably IGF one or insulin like growth factor one.

0:14:37.960 --> 0:14:42.280
<v Speaker 1>There are anywhere between fifty and two thousand micrograms per

0:14:42.360 --> 0:14:47.800
<v Speaker 1>leader of IGF one in col colostrum compared to like

0:14:47.920 --> 0:14:51.840
<v Speaker 1>less than ten micrograms basically undetectable in mature cow milk.

0:14:51.880 --> 0:14:55.680
<v Speaker 1>This is from the Bulgarian Journal of Veterinary Science, you know,

0:14:55.880 --> 0:14:58.200
<v Speaker 1>not maybe the number one veterinary journal in.

0:14:58.200 --> 0:15:01.560
<v Speaker 3>The world, not impact factor of it, okay.

0:15:01.360 --> 0:15:04.760
<v Speaker 1>But actually the best study unlike the content, the actual

0:15:04.800 --> 0:15:07.040
<v Speaker 1>measurements of what's in this stuff that I could find.

0:15:07.960 --> 0:15:10.120
<v Speaker 1>So and I think let's if can we talk about

0:15:10.120 --> 0:15:12.880
<v Speaker 1>IGF one is like, because I think this will give

0:15:12.880 --> 0:15:15.680
<v Speaker 1>a framework for how to think about stuff that you eat. So,

0:15:16.160 --> 0:15:19.840
<v Speaker 1>what IGF one is is the molecule that mediates the

0:15:19.840 --> 0:15:23.800
<v Speaker 1>effects of growth hormone. So your pituitary gland releases growth hormone,

0:15:24.280 --> 0:15:28.280
<v Speaker 1>particularly when you're growing, and downstream that tells your body

0:15:28.280 --> 0:15:30.360
<v Speaker 1>to grow, tells your bones and your muscles to grow,

0:15:30.360 --> 0:15:32.440
<v Speaker 1>and for you to get taller. That's what growth hormone does.

0:15:32.640 --> 0:15:34.800
<v Speaker 1>But it doesn't do it itself. It doesn't act itself.

0:15:34.800 --> 0:15:36.960
<v Speaker 1>It acts on the liver to release IGF one, and

0:15:37.000 --> 0:15:39.000
<v Speaker 1>then igf one is the thing that tells your muscles

0:15:39.000 --> 0:15:41.040
<v Speaker 1>and stuff to grow. So it's just a two step process. Okay,

0:15:41.040 --> 0:15:44.600
<v Speaker 1>that's IGF one. Kids who are born with like genetic

0:15:44.600 --> 0:15:48.720
<v Speaker 1>deficiencies of IGF one or growth hormone have congenital short

0:15:48.760 --> 0:15:53.640
<v Speaker 1>stature syndromes, so you know, little people types of syndromes.

0:15:54.240 --> 0:15:58.200
<v Speaker 1>IGF one is banned by the nc double A and

0:15:58.360 --> 0:16:02.000
<v Speaker 1>the World Antidoping Association, And you can inject IGF one

0:16:03.160 --> 0:16:06.360
<v Speaker 1>because it does grow muscles. It is a growth factor.

0:16:07.160 --> 0:16:10.240
<v Speaker 1>In fact, there is concern about some people who are

0:16:10.280 --> 0:16:13.240
<v Speaker 1>concerned about our intake of dairy point to IGF one

0:16:13.280 --> 0:16:16.280
<v Speaker 1>and they're like, dairy causes cancer because of IGF one, right,

0:16:16.320 --> 0:16:18.040
<v Speaker 1>because of the growth signals from IGF one. So you

0:16:18.120 --> 0:16:20.280
<v Speaker 1>always get these millions of sides. But there's a couple

0:16:20.360 --> 0:16:22.200
<v Speaker 1>of things we need to think about when it comes

0:16:22.200 --> 0:16:25.440
<v Speaker 1>to a cow product. Number One, are we pasteurizing it.

0:16:26.080 --> 0:16:30.600
<v Speaker 1>If we're pasteurizing it, some proteins lose their functionality, some don't.

0:16:31.240 --> 0:16:35.880
<v Speaker 1>Number Two, can it get absorbed intact through your GI tract?

0:16:35.960 --> 0:16:38.480
<v Speaker 1>And this is the big one where kind of a

0:16:38.680 --> 0:16:44.400
<v Speaker 1>lot of the biological plausibility falls apart when it comes

0:16:44.400 --> 0:16:45.960
<v Speaker 1>to IGF one, And this will be the case for

0:16:46.120 --> 0:16:50.360
<v Speaker 1>multiple things. That's in cow colostrum. You can give it

0:16:50.360 --> 0:16:52.880
<v Speaker 1>to people. In fact, it's heat stable IGF one, So

0:16:52.920 --> 0:16:54.800
<v Speaker 1>you can even pasteurize this stuff and it still has

0:16:54.800 --> 0:16:57.360
<v Speaker 1>IGF one in it, but it does not get into

0:16:57.400 --> 0:17:00.000
<v Speaker 1>the blood. Some studies that suggest it does get into

0:17:00.120 --> 0:17:02.640
<v Speaker 1>the blood see fragments of IGF one, But that's just

0:17:02.760 --> 0:17:05.280
<v Speaker 1>digested stuff, it's not the actual molecule.

0:17:05.520 --> 0:17:08.359
<v Speaker 2>Yeah, I think that this point comes up actually a

0:17:08.440 --> 0:17:12.240
<v Speaker 2>lot in this space of linking. You know, this is

0:17:12.280 --> 0:17:14.679
<v Speaker 2>a substance in this food to this is going to

0:17:14.720 --> 0:17:18.560
<v Speaker 2>have this impact where we know the substance is something

0:17:18.600 --> 0:17:21.000
<v Speaker 2>where like if you injected it ad mice, right, Really,

0:17:21.040 --> 0:17:22.760
<v Speaker 2>what you're saying here is like if you take IGF

0:17:22.760 --> 0:17:24.880
<v Speaker 2>one and you inject it in a mouse or even

0:17:24.920 --> 0:17:26.879
<v Speaker 2>in a person, Yeah, like that's good.

0:17:26.960 --> 0:17:28.080
<v Speaker 3>You know, That's why they don't let you go.

0:17:28.200 --> 0:17:30.600
<v Speaker 1>It's not necessarily good for you, but it'll make your

0:17:30.640 --> 0:17:31.920
<v Speaker 1>muscles grow a bit. It'll make your.

0:17:31.920 --> 0:17:34.200
<v Speaker 2>Muscles grow, and so you can get a super muscular

0:17:34.240 --> 0:17:38.000
<v Speaker 2>mouse by injecting them with igf one. But our digestive

0:17:38.040 --> 0:17:40.800
<v Speaker 2>system is not the same as injecting things.

0:17:40.480 --> 0:17:40.920
<v Speaker 1>Not at all.

0:17:41.000 --> 0:17:43.920
<v Speaker 2>Right, Like when you when you consume something, it goes

0:17:44.000 --> 0:17:46.880
<v Speaker 2>through your stomach, and your stomach is full of acids

0:17:46.920 --> 0:17:49.560
<v Speaker 2>and other stuff, and it breaks it down in all

0:17:49.640 --> 0:17:52.960
<v Speaker 2>kinds of ways. And so there are many things, for example,

0:17:53.000 --> 0:17:55.880
<v Speaker 2>even GLP ones, where there is a reason it's taken

0:17:55.920 --> 0:17:57.880
<v Speaker 2>a long time to get to an oral GLP one

0:17:57.960 --> 0:18:02.120
<v Speaker 2>because the injected version is just so much more accessible

0:18:02.280 --> 0:18:03.040
<v Speaker 2>to our body.

0:18:03.359 --> 0:18:06.000
<v Speaker 3>And so I actually believe if.

0:18:05.840 --> 0:18:08.520
<v Speaker 2>We looked into it, there's many things in this space

0:18:08.560 --> 0:18:11.400
<v Speaker 2>where that that is the link that kind of breaks

0:18:11.440 --> 0:18:14.439
<v Speaker 2>when people go from here is something where we know

0:18:14.480 --> 0:18:16.119
<v Speaker 2>if we injected it in a mouse, it would matter

0:18:16.520 --> 0:18:18.639
<v Speaker 2>to you know, here is something you can take by mouth,

0:18:18.920 --> 0:18:22.159
<v Speaker 2>because the amount that you have accessible after you consume

0:18:22.200 --> 0:18:23.719
<v Speaker 2>it through your stomach is like nothing.

0:18:24.119 --> 0:18:27.879
<v Speaker 1>Yeah, yeah, it's it's really hard, and pharmacologists spend a

0:18:27.880 --> 0:18:29.360
<v Speaker 1>lot of time trying to figure out how to get

0:18:29.359 --> 0:18:32.560
<v Speaker 1>your body to absorb something without digesting. It's it's just

0:18:32.680 --> 0:18:35.840
<v Speaker 1>a tricky problem and it's not solved in colostrum. So

0:18:36.640 --> 0:18:39.280
<v Speaker 1>I'm actually I think that like a colostrum if you

0:18:39.320 --> 0:18:42.240
<v Speaker 1>dig into the NC double A rules on this. The

0:18:42.400 --> 0:18:46.359
<v Speaker 1>reason they ban colostrum is actually they say that it's

0:18:46.520 --> 0:18:50.880
<v Speaker 1>risky because potentially of false positives in your blood. It's

0:18:50.880 --> 0:18:52.399
<v Speaker 1>like similar to how like you might not want to

0:18:52.400 --> 0:18:54.679
<v Speaker 1>eat a lot of poppy seeds if you're getting like

0:18:54.720 --> 0:18:57.200
<v Speaker 1>an opioid test, right, It's not because the poppy seeds

0:18:57.200 --> 0:18:59.040
<v Speaker 1>make you high. It's because they have kind of similar

0:18:59.119 --> 0:19:02.080
<v Speaker 1>chemical structure. You get little pieces of IGF one in

0:19:02.119 --> 0:19:04.679
<v Speaker 1>your bloodstream after it's digested, But then the test that

0:19:04.720 --> 0:19:06.720
<v Speaker 1>they give you is like, oh, he's using IGF one.

0:19:07.040 --> 0:19:09.479
<v Speaker 2>So, in fact, perry a lot of people when they

0:19:09.480 --> 0:19:13.159
<v Speaker 2>get popped for doping, the excuse is I ate a

0:19:13.440 --> 0:19:16.480
<v Speaker 2>food where the animal was fed growth hormone.

0:19:16.640 --> 0:19:20.119
<v Speaker 1>Okay, there you go, Yes, you know. That is why

0:19:20.200 --> 0:19:25.320
<v Speaker 1>I exclusively drink milk that has been extensively treated with

0:19:25.359 --> 0:19:27.639
<v Speaker 1>bovine growth growth hormone.

0:19:28.200 --> 0:19:29.520
<v Speaker 2>When they test you at the end of the five

0:19:29.600 --> 0:19:30.879
<v Speaker 2>K so I'm not getting tested.

0:19:30.920 --> 0:19:31.440
<v Speaker 3>I just trying.

0:19:31.880 --> 0:19:34.280
<v Speaker 1>I'm just trying to hit the golf ball further. That's

0:19:34.280 --> 0:19:35.600
<v Speaker 1>all I care about, just trying.

0:19:35.640 --> 0:19:35.960
<v Speaker 3>Okay.

0:19:36.200 --> 0:19:40.480
<v Speaker 2>So when we look at the particular items in colostrum,

0:19:40.520 --> 0:19:42.240
<v Speaker 2>and I think this is important to set the stage

0:19:42.280 --> 0:19:44.960
<v Speaker 2>for like looking at the at the data on it,

0:19:46.000 --> 0:19:51.560
<v Speaker 2>there's the growth hormones. There are a bunch of other things, immunoglobulins.

0:19:52.000 --> 0:19:53.560
<v Speaker 1>Yeah, we should definitely talk about that.

0:19:53.960 --> 0:19:55.840
<v Speaker 3>I will say big we should talk about all these things.

0:19:55.840 --> 0:19:59.800
<v Speaker 2>But big picture, one of the issues with biological plausibility

0:19:59.840 --> 0:20:02.600
<v Speaker 2>for this substance at all is that almost all these

0:20:02.600 --> 0:20:05.879
<v Speaker 2>things are not really available once you eat them.

0:20:06.240 --> 0:20:09.000
<v Speaker 1>Yes, that's correct, most things are digested. I'm going to

0:20:09.119 --> 0:20:11.359
<v Speaker 1>like put one coin on the other side of the

0:20:11.400 --> 0:20:16.280
<v Speaker 1>scale though. Let's give colostrum it's due not everything that

0:20:16.320 --> 0:20:19.680
<v Speaker 1>affects your body has to get into your body, true,

0:20:20.240 --> 0:20:26.560
<v Speaker 1>and so for example, immunoglobulins. Immunoglobulins are little those are antibodies,

0:20:26.720 --> 0:20:32.919
<v Speaker 1>and your body makes them against certain antigens like bacteria, viruses,

0:20:33.680 --> 0:20:37.199
<v Speaker 1>stuff like that. The antibodies sticky, they're each specific to

0:20:37.240 --> 0:20:39.240
<v Speaker 1>one of those antigens. They stick to it, and it's

0:20:39.280 --> 0:20:40.720
<v Speaker 1>sort of a signal to your body like this is

0:20:40.760 --> 0:20:42.800
<v Speaker 1>a bad thing. It's marked for death, like take care

0:20:42.840 --> 0:20:45.679
<v Speaker 1>of it, and the whole cascade immune cascade follows. There

0:20:45.680 --> 0:20:49.600
<v Speaker 1>are different types of immunoglobulins, but one that's very relevant

0:20:49.600 --> 0:20:53.920
<v Speaker 1>here is called IgA immunoglobulin A, which is the immunoglobulin

0:20:54.119 --> 0:20:59.520
<v Speaker 1>that lives in your mucosal system, so in your nose, mouth, throat,

0:20:59.600 --> 0:21:03.479
<v Speaker 1>and GI tract. This is the frontline immunoglobulin. It's actually

0:21:03.520 --> 0:21:08.840
<v Speaker 1>secreted into the mucosa by your body and it's directed

0:21:08.880 --> 0:21:12.679
<v Speaker 1>against antigens. The many different bacterian pathogens and stuff that

0:21:12.760 --> 0:21:14.919
<v Speaker 1>you will get, you know, just by breathing air in

0:21:15.000 --> 0:21:17.119
<v Speaker 1>a non sterile environment, by eating food that hasn't been

0:21:17.119 --> 0:21:22.080
<v Speaker 1>sterilized like we always do et cetera. And colostrum contains IgA,

0:21:22.240 --> 0:21:26.320
<v Speaker 1>and so that IgA can actually stick and mark some

0:21:26.400 --> 0:21:29.399
<v Speaker 1>of those antigens potentially while they're sitting there in the

0:21:29.400 --> 0:21:32.959
<v Speaker 1>GI tract, and it's conceivable that that would promote an

0:21:33.000 --> 0:21:37.919
<v Speaker 1>immune response to some antigens. Some scientists also point out

0:21:37.960 --> 0:21:42.080
<v Speaker 1>that some of these molecules, including even things like IGF one. Yes,

0:21:42.119 --> 0:21:44.600
<v Speaker 1>they don't get into the blood, but they can potentially

0:21:44.840 --> 0:21:49.040
<v Speaker 1>signal to the gut epithelium because those are cells, right,

0:21:49.080 --> 0:21:51.679
<v Speaker 1>and like they're just half of them are sitting out there,

0:21:51.960 --> 0:21:54.000
<v Speaker 1>you know, in the lumen of the GI tract, and

0:21:54.040 --> 0:21:56.360
<v Speaker 1>the IGF one can kind of float by and at

0:21:56.440 --> 0:21:59.359
<v Speaker 1>least act on them, And you get people saying like

0:21:59.359 --> 0:22:03.280
<v Speaker 1>this promotes gut health and stuff like that. So, yeah,

0:22:03.359 --> 0:22:06.840
<v Speaker 1>the idea that you're getting, like, you know, a secret

0:22:06.840 --> 0:22:10.320
<v Speaker 1>way to take anabolic steroids by drinking the stuff definitely

0:22:10.520 --> 0:22:14.280
<v Speaker 1>not true, but there may well be some physiologic effects.

0:22:13.960 --> 0:22:14.720
<v Speaker 3>Here, Okay.

0:22:14.840 --> 0:22:18.280
<v Speaker 2>So I think that that is a good place to

0:22:18.920 --> 0:22:22.840
<v Speaker 2>turn to the question of what we see in the data,

0:22:22.880 --> 0:22:24.639
<v Speaker 2>because I mean, always with stuff like this you can

0:22:24.680 --> 0:22:27.120
<v Speaker 2>sort of start with, like, is there a biological plausibility?

0:22:27.119 --> 0:22:32.400
<v Speaker 3>I think in this case, it's like a little bit maybe.

0:22:32.640 --> 0:22:36.080
<v Speaker 2>But then the question is when you look into people,

0:22:36.880 --> 0:22:41.040
<v Speaker 2>are we actually seeing any any impacts and the outcomes

0:22:41.080 --> 0:22:44.240
<v Speaker 2>here that there are actually two groups we can talk

0:22:44.280 --> 0:22:46.359
<v Speaker 2>about them in turn. The first is there's actually a

0:22:46.400 --> 0:22:47.840
<v Speaker 2>lot of work on this in athletes.

0:22:47.920 --> 0:22:50.000
<v Speaker 3>Yeah, yeah, my favorite. And then you're about to work

0:22:50.040 --> 0:22:51.040
<v Speaker 3>on people.

0:22:52.480 --> 0:22:55.280
<v Speaker 1>To actual people. Okay, I like that, there's athletes.

0:22:55.280 --> 0:22:57.719
<v Speaker 3>People, not elite maile cyclists.

0:22:58.280 --> 0:23:02.720
<v Speaker 2>And then and sort of we're looking at like something

0:23:02.760 --> 0:23:08.080
<v Speaker 2>about inflammation the gut, maybe performance, maybe respiratory viruses. Part

0:23:08.119 --> 0:23:11.040
<v Speaker 2>of what's hard here is the range of outcomes that

0:23:11.080 --> 0:23:14.040
<v Speaker 2>we're looking at are so broad that it feels like

0:23:14.680 --> 0:23:16.920
<v Speaker 2>like how could it possibly how could this thing possibly

0:23:16.920 --> 0:23:19.400
<v Speaker 2>matter for all of these Yeah, it's a problem.

0:23:19.440 --> 0:23:22.160
<v Speaker 1>And of course, because there's so much stuff in colostrum,

0:23:22.280 --> 0:23:25.320
<v Speaker 1>there's always going to be a biologically plausible route, right,

0:23:25.400 --> 0:23:27.439
<v Speaker 1>Like you're given all these lego pieces and you can

0:23:27.480 --> 0:23:28.760
<v Speaker 1>be like, oh, I can make a car, and I

0:23:28.760 --> 0:23:30.160
<v Speaker 1>can make a boat and so on and so forth.

0:23:30.400 --> 0:23:32.159
<v Speaker 2>So just so it's always a just so story. You

0:23:32.160 --> 0:23:33.639
<v Speaker 2>can sort of say, Okay, I'm going to look for

0:23:33.640 --> 0:23:35.680
<v Speaker 2>this in the data. Maybe I'm going to like pee

0:23:35.680 --> 0:23:37.600
<v Speaker 2>haack a little bit through a bunch of different outcomes

0:23:37.600 --> 0:23:38.919
<v Speaker 2>and then I'm going to make up a story for

0:23:38.960 --> 0:23:42.520
<v Speaker 2>why the particular peptide that's in this matters for that.

0:23:42.720 --> 0:23:45.679
<v Speaker 3>So I think that's a that is a caution with

0:23:45.720 --> 0:23:47.120
<v Speaker 3>everything we will say here.

0:23:47.200 --> 0:23:50.159
<v Speaker 1>Absolutely, But you know, I as I was looking through this,

0:23:50.320 --> 0:23:52.520
<v Speaker 1>I definitely saw, you know, a number of trials in

0:23:52.560 --> 0:23:55.000
<v Speaker 1>these athletes, and all I could think reading them was like,

0:23:55.040 --> 0:23:57.320
<v Speaker 1>I've got to get Emily's take on this, So can

0:23:57.359 --> 0:24:00.680
<v Speaker 1>you can you walk me through how you, as an

0:24:00.920 --> 0:24:05.159
<v Speaker 1>athlete can talk to me as a human about the

0:24:05.240 --> 0:24:05.840
<v Speaker 1>data here.

0:24:07.480 --> 0:24:10.560
<v Speaker 2>So what I really like about studying athletes, and what

0:24:10.640 --> 0:24:13.960
<v Speaker 2>I think researchers like, is that you know the outcome

0:24:14.040 --> 0:24:17.040
<v Speaker 2>you are looking for and it's very easy to measure.

0:24:17.119 --> 0:24:19.760
<v Speaker 2>So like an example of a study, it's like a study.

0:24:19.760 --> 0:24:21.879
<v Speaker 2>It's a pretty old study from the British Journal of

0:24:22.000 --> 0:24:25.760
<v Speaker 2>Sports Medicine, but it's like very consistent with this whole

0:24:25.920 --> 0:24:26.800
<v Speaker 2>research space.

0:24:27.160 --> 0:24:29.280
<v Speaker 1>And we love the British Journal of Sports Medicine.

0:24:29.320 --> 0:24:31.119
<v Speaker 3>That's actually very good journal, Yes it is.

0:24:31.320 --> 0:24:34.160
<v Speaker 2>So this is like we take they take twenty nine

0:24:34.400 --> 0:24:36.280
<v Speaker 2>highly trained mail road cyclist.

0:24:36.359 --> 0:24:37.520
<v Speaker 3>That's everybody's favorite.

0:24:37.600 --> 0:24:41.040
<v Speaker 2>Everybody loves a highly trained mail road cyclist and then

0:24:41.520 --> 0:24:44.960
<v Speaker 2>you stick them on the bike and you have them

0:24:45.000 --> 0:24:48.880
<v Speaker 2>do time trials, and then you give them some colostrum

0:24:48.960 --> 0:24:53.240
<v Speaker 2>and some not colostrum, and or in this case, I

0:24:53.240 --> 0:24:54.800
<v Speaker 2>think it was some of the time they had the

0:24:54.800 --> 0:24:57.399
<v Speaker 2>colostrum and sometime they didn't. There's all kinds of like

0:24:57.480 --> 0:25:00.280
<v Speaker 2>detailed ways you can control this, and then they look

0:25:00.320 --> 0:25:03.800
<v Speaker 2>at whether their time trial VO two max performs. It's

0:25:03.880 --> 0:25:06.360
<v Speaker 2>just like there's a lot of outcomes you can very

0:25:06.359 --> 0:25:09.560
<v Speaker 2>clearly measure, and so in a set of studies like this,

0:25:09.680 --> 0:25:12.960
<v Speaker 2>you do see you know, some impacts on performance, maybe

0:25:13.240 --> 0:25:16.840
<v Speaker 2>some impacts on respiratory illness. In some of this we

0:25:16.880 --> 0:25:23.440
<v Speaker 2>see a little bit in like recovery for runners, you know,

0:25:23.640 --> 0:25:25.520
<v Speaker 2>a lot of it's a lot of cyclists.

0:25:25.600 --> 0:25:28.040
<v Speaker 1>Yeah, I want to put numbers on this, and I

0:25:28.400 --> 0:25:30.439
<v Speaker 1>don't know how good this is, but I'm hoping you do.

0:25:30.640 --> 0:25:30.720
<v Speaker 4>So.

0:25:31.160 --> 0:25:34.320
<v Speaker 1>I'm looking at the British Jurnal Sports Medicine study. They

0:25:34.320 --> 0:25:38.040
<v Speaker 1>did a forty kilometer time trial either on colostrum or

0:25:38.119 --> 0:25:40.840
<v Speaker 1>on like way, protein was the control, I think, and

0:25:40.920 --> 0:25:47.840
<v Speaker 1>their performance improved by two percent versus baseline. Like to

0:25:47.920 --> 0:25:51.159
<v Speaker 1>me as a human that is not an athlete, two percent.

0:25:51.240 --> 0:25:53.359
<v Speaker 1>I'm like, that doesn't sound like great at all, But

0:25:53.560 --> 0:25:56.240
<v Speaker 1>is that actually something where it's like, dude, like, if

0:25:56.240 --> 0:25:59.200
<v Speaker 1>you're an elite male cyclist, this is the difference between

0:26:00.200 --> 0:26:02.040
<v Speaker 1>first and second place, Like, like, what are you talking

0:26:02.040 --> 0:26:02.480
<v Speaker 1>about here?

0:26:02.640 --> 0:26:02.840
<v Speaker 3>Yeah?

0:26:02.920 --> 0:26:05.280
<v Speaker 2>I mean so look, two percent is there's two ways

0:26:05.280 --> 0:26:07.639
<v Speaker 2>to think about two percent. One is to say, like,

0:26:07.840 --> 0:26:11.880
<v Speaker 2>if you're at the end of the Tour de France

0:26:12.040 --> 0:26:15.359
<v Speaker 2>and you're trying you're like Yones Vanago and you're trying

0:26:15.400 --> 0:26:18.080
<v Speaker 2>to get toddy pigatcha at the top of the you

0:26:18.119 --> 0:26:21.120
<v Speaker 2>know called the blob andy blah, like, you would take

0:26:21.119 --> 0:26:24.960
<v Speaker 2>a point. Those are people need to go and ty

0:26:25.000 --> 0:26:27.879
<v Speaker 2>pigacha people. I don't know which call the call is,

0:26:28.160 --> 0:26:31.560
<v Speaker 2>you know, Okay, anyway, you would take like a half.

0:26:31.640 --> 0:26:32.679
<v Speaker 3>I mean that's that's the difference.

0:26:32.800 --> 0:26:35.240
<v Speaker 2>These guys are are biking for one hundreds and hundreds

0:26:35.240 --> 0:26:36.720
<v Speaker 2>of miles and winning by four seconds.

0:26:37.640 --> 0:26:37.960
<v Speaker 1>All right.

0:26:38.560 --> 0:26:43.560
<v Speaker 2>For more regular people, I think two percent is pretty good.

0:26:43.600 --> 0:26:45.840
<v Speaker 2>It's like not as good as it's not as much

0:26:45.840 --> 0:26:48.159
<v Speaker 2>as the benefit you'd get from really like ramping up

0:26:48.160 --> 0:26:51.280
<v Speaker 2>your fueling, which is like a sort of core element

0:26:51.359 --> 0:26:54.879
<v Speaker 2>of improving your your performance. But it's like that's like

0:26:54.920 --> 0:26:58.640
<v Speaker 2>a solid like people would take is people who love,

0:26:58.760 --> 0:26:59.840
<v Speaker 2>people who are highly.

0:26:59.680 --> 0:27:02.240
<v Speaker 3>Trained mail Roadsnichles, but definitely take two percent.

0:27:02.840 --> 0:27:07.159
<v Speaker 1>Okay, So that sort of confirms my impression, which you know,

0:27:07.600 --> 0:27:10.760
<v Speaker 1>there are several studies like this where you see, you know,

0:27:10.880 --> 0:27:14.880
<v Speaker 1>relatively small studies, relatively small effects sizes, and I think

0:27:14.880 --> 0:27:18.280
<v Speaker 1>we do need to say to people that that raises

0:27:18.640 --> 0:27:23.640
<v Speaker 1>your eyebrows a little bit from a data science perspective.

0:27:24.200 --> 0:27:28.280
<v Speaker 1>In part that's because of publication bias, So just as

0:27:28.320 --> 0:27:30.600
<v Speaker 1>worth saying that, Like, if you conduct a study in

0:27:30.640 --> 0:27:33.960
<v Speaker 1>twenty people and the results are negative, it's just hard

0:27:33.960 --> 0:27:36.400
<v Speaker 1>to get it published, like I've been there, by the way,

0:27:37.400 --> 0:27:39.359
<v Speaker 1>And you submit it to a journal and they're like this,

0:27:39.680 --> 0:27:42.680
<v Speaker 1>like why we don't care, Like nothing happened. You only

0:27:42.760 --> 0:27:44.800
<v Speaker 1>enroll twenty people. Like if you enrolled one thousand and

0:27:44.840 --> 0:27:47.359
<v Speaker 1>nothing happened, then you know, sure we'll publish that because

0:27:47.400 --> 0:27:49.399
<v Speaker 1>that's a big study. But for twenty no, not really.

0:27:49.800 --> 0:27:52.000
<v Speaker 1>But if you enroll twenty people and you do see

0:27:52.000 --> 0:27:54.760
<v Speaker 1>a modest effect, or even a tiny effect, but you

0:27:54.800 --> 0:27:57.920
<v Speaker 1>know that passes statistical significant special you're much more likely

0:27:57.920 --> 0:27:59.879
<v Speaker 1>to get it published. So we do kind of want

0:27:59.920 --> 0:28:03.760
<v Speaker 1>to the meta analytic things we think about here is

0:28:03.840 --> 0:28:06.879
<v Speaker 1>like if we're seeing all if we're seeing several studies

0:28:06.880 --> 0:28:09.520
<v Speaker 1>but they're all very small, we worry a little bit

0:28:09.600 --> 0:28:15.119
<v Speaker 1>about this, about this issue of publication bias. Yeah, but

0:28:15.920 --> 0:28:18.800
<v Speaker 1>you know, hey, if you're an elite mail cyclist and

0:28:18.840 --> 0:28:22.400
<v Speaker 1>this is how you make your living, you know, seems

0:28:22.480 --> 0:28:24.000
<v Speaker 1>like you can give it a shot. I suppose.

0:28:24.280 --> 0:28:27.760
<v Speaker 2>Yeah, I mean I find yeah, maybe, I mean I

0:28:27.800 --> 0:28:30.719
<v Speaker 2>think I think the publication bias piece here is pretty

0:28:31.119 --> 0:28:33.040
<v Speaker 2>pretty important.

0:28:33.200 --> 0:28:35.560
<v Speaker 1>And yeah, yeah, you got to say it right, Yes,

0:28:35.960 --> 0:28:37.280
<v Speaker 1>the literature is not perfect.

0:28:37.600 --> 0:28:39.680
<v Speaker 2>This is a place where you know, we like, I

0:28:39.720 --> 0:28:42.360
<v Speaker 2>think the really great next step if one was really

0:28:42.360 --> 0:28:45.440
<v Speaker 2>interested in this is to say, okay, let's take these theories,

0:28:45.480 --> 0:28:47.360
<v Speaker 2>like we've got a bunch of data that would suggest

0:28:47.480 --> 0:28:51.320
<v Speaker 2>particular outcomes that have been seen before. Let's redo with

0:28:51.400 --> 0:28:55.000
<v Speaker 2>a larger sample looking at those outcomes, which would get

0:28:55.040 --> 0:28:57.640
<v Speaker 2>away from p hacking, like you're just choosing your outcomes

0:28:57.640 --> 0:28:59.720
<v Speaker 2>based on which one's work and would get away from

0:29:00.120 --> 0:29:02.040
<v Speaker 2>some of the publication bias if you could kind of

0:29:02.040 --> 0:29:02.680
<v Speaker 2>pre register.

0:29:02.880 --> 0:29:05.480
<v Speaker 3>But I don't know, I think what's we can get

0:29:05.520 --> 0:29:06.479
<v Speaker 3>into the people thing.

0:29:06.520 --> 0:29:08.080
<v Speaker 2>What's hard here is like, I have no idea why

0:29:08.080 --> 0:29:12.080
<v Speaker 2>this would matter, Like, nothing in the biology of this

0:29:12.520 --> 0:29:16.040
<v Speaker 2>substance would suggest that it connects to It's not like

0:29:16.120 --> 0:29:18.760
<v Speaker 2>protein or creatine or something where you could say, okay,

0:29:18.760 --> 0:29:21.960
<v Speaker 2>I can see mechanistically why this matters for a performance.

0:29:22.040 --> 0:29:24.520
<v Speaker 3>Is just sort of like it's just like a really good

0:29:24.560 --> 0:29:25.240
<v Speaker 3>protein shake.

0:29:26.480 --> 0:29:28.680
<v Speaker 1>Yeah. Yeah, there's just kind of like good humors in it.

0:29:29.360 --> 0:29:31.840
<v Speaker 1>And you know, these dudies were controlled for protein and

0:29:31.880 --> 0:29:34.800
<v Speaker 1>take by giving way protein. So so yeah, we like

0:29:34.880 --> 0:29:39.160
<v Speaker 1>some plausibility, and I think actually the place that has

0:29:39.240 --> 0:29:46.000
<v Speaker 1>more plausibility is in the data looking at like respiratory infection. Yeah, rates,

0:29:47.200 --> 0:29:49.840
<v Speaker 1>so this is a place where we actually have some

0:29:50.680 --> 0:29:54.800
<v Speaker 1>larger trials also kind of relatively on the on the

0:29:54.840 --> 0:29:58.640
<v Speaker 1>old side. But the reason I think there's some biologic

0:29:58.680 --> 0:30:04.440
<v Speaker 1>plausibility goes back to that immunoglobulin A phenomenon. So again,

0:30:04.880 --> 0:30:06.760
<v Speaker 1>you know, if you're putting something in your in your

0:30:06.800 --> 0:30:11.120
<v Speaker 1>GI tract that has a lot of immiglobulin A in it,

0:30:11.200 --> 0:30:14.800
<v Speaker 1>and presumably these cows are making immunoglobulins against at least

0:30:14.880 --> 0:30:17.960
<v Speaker 1>some of the same pathogens that you know humans are

0:30:17.960 --> 0:30:21.320
<v Speaker 1>exposed to, maybe that can rev up your immune system.

0:30:21.440 --> 0:30:26.160
<v Speaker 1>So I'll highlight one study because it was relatively large,

0:30:26.160 --> 0:30:29.320
<v Speaker 1>from the European Journal of Nutrition, also old two thousand

0:30:29.360 --> 0:30:33.440
<v Speaker 1>and three. They took one hundred and seventy four adult men.

0:30:34.800 --> 0:30:38.440
<v Speaker 1>This actually it was a little bit a little bit

0:30:38.440 --> 0:30:41.520
<v Speaker 1>of a weird design. They created this study out of

0:30:41.640 --> 0:30:46.080
<v Speaker 1>other randomized trials of colostrum versus WAY and just look

0:30:46.120 --> 0:30:50.280
<v Speaker 1>to see who reported as an adverse effect upper respiratory symptom.

0:30:50.360 --> 0:30:53.360
<v Speaker 1>So this wasn't the primary outcome, so it like it

0:30:53.440 --> 0:30:56.480
<v Speaker 1>is randomized, but they're kind of like they're they're like

0:30:56.600 --> 0:31:00.680
<v Speaker 1>convenience looking at the outcome. And over the seven weeks

0:31:00.680 --> 0:31:05.040
<v Speaker 1>that they looked at, thirty two percent of the colosstrum

0:31:05.240 --> 0:31:08.920
<v Speaker 1>subjects reported some upper respiratory tract symptoms could be anything

0:31:08.920 --> 0:31:11.840
<v Speaker 1>from a running nose to a sore throat versus forty

0:31:11.880 --> 0:31:16.120
<v Speaker 1>eight percent in those who are getting WAY protein. So

0:31:16.400 --> 0:31:20.479
<v Speaker 1>and that was a significant decline, you know, And there

0:31:20.480 --> 0:31:24.200
<v Speaker 1>are sort of other studies that go along this line.

0:31:24.200 --> 0:31:27.760
<v Speaker 1>There's even been some studies in medical people like who

0:31:27.800 --> 0:31:31.960
<v Speaker 1>are exposed you know, presumably exposed to there's the.

0:31:31.920 --> 0:31:35.000
<v Speaker 2>Study in preschool children who are exposed to talk to

0:31:35.040 --> 0:31:36.760
<v Speaker 2>me about even more oh my god.

0:31:37.040 --> 0:31:38.360
<v Speaker 3>Yeah, yeah, yeah, yeah.

0:31:38.120 --> 0:31:42.040
<v Speaker 2>So there is a like six week long study of

0:31:42.120 --> 0:31:47.240
<v Speaker 2>colostrum in preschool children. It's relatively small, it's like sixty kids,

0:31:48.040 --> 0:31:52.920
<v Speaker 2>fifty seven kids, and they randomized kids into colossum versus

0:31:53.160 --> 0:31:57.160
<v Speaker 2>not and there was a reduction in days with upper

0:31:57.160 --> 0:32:02.480
<v Speaker 2>respiratory symptoms thirty one percent, which is large.

0:32:02.600 --> 0:32:03.760
<v Speaker 1>Yeah, that's not parents.

0:32:05.120 --> 0:32:08.920
<v Speaker 2>Parents would definitely take that when they are parenting preschool children.

0:32:09.120 --> 0:32:11.440
<v Speaker 2>So so, yeah, we do see this in a number

0:32:11.440 --> 0:32:14.600
<v Speaker 2>of different settings. I will say I am still worried

0:32:14.760 --> 0:32:19.800
<v Speaker 2>about the pe hacking and the small samples and the

0:32:19.800 --> 0:32:21.280
<v Speaker 2>publication bias.

0:32:21.440 --> 0:32:24.520
<v Speaker 3>I think I just I'm still worried about that here.

0:32:25.360 --> 0:32:26.880
<v Speaker 1>It's always going to be the case when we have

0:32:27.080 --> 0:32:32.360
<v Speaker 1>multiple small studies. That preschool study also had parental reported outcomes,

0:32:32.520 --> 0:32:33.680
<v Speaker 1>which I don't know. You're not going to ask the

0:32:33.720 --> 0:32:36.360
<v Speaker 1>kids obviously, but that does open the door. You know.

0:32:36.400 --> 0:32:38.880
<v Speaker 1>This isn't like they were tested in some way for

0:32:39.200 --> 0:32:41.640
<v Speaker 1>you know, viral carriage in their nose or something that

0:32:41.760 --> 0:32:44.840
<v Speaker 1>was objective. This is a subjective perception of if the

0:32:44.920 --> 0:32:48.640
<v Speaker 1>kid is doing better, and if blinding is inadequate, like

0:32:48.680 --> 0:32:51.040
<v Speaker 1>if there's if the parents had any way to tell like, oh,

0:32:51.080 --> 0:32:53.720
<v Speaker 1>this is my kid's getting colostrum versus my kids getting

0:32:53.720 --> 0:32:56.160
<v Speaker 1>way protein, then that can kind of bias the results.

0:32:56.160 --> 0:32:58.360
<v Speaker 1>So there's just you know, this is this is medium

0:32:58.400 --> 0:33:01.680
<v Speaker 1>to load to medium quality d pointing in a direction,

0:33:01.840 --> 0:33:05.280
<v Speaker 1>and there is some biologic plausibility here, but we do

0:33:05.360 --> 0:33:06.880
<v Speaker 1>have to be really careful in interpretation.

0:33:07.080 --> 0:33:08.720
<v Speaker 2>Why can I ask you before we get to the

0:33:08.760 --> 0:33:11.480
<v Speaker 2>second piece of this, which is the like gut health,

0:33:12.480 --> 0:33:17.160
<v Speaker 2>leaky gut my favorite topic, why do you think we

0:33:17.200 --> 0:33:19.960
<v Speaker 2>do not have larger scale trials here? I mean, I

0:33:20.040 --> 0:33:22.000
<v Speaker 2>understand why maybe we don't have larger scale trials in

0:33:22.440 --> 0:33:24.440
<v Speaker 2>sports because people don't.

0:33:23.920 --> 0:33:24.560
<v Speaker 3>Care that much.

0:33:24.600 --> 0:33:27.640
<v Speaker 2>But you know, let's say there was something that you

0:33:27.640 --> 0:33:29.320
<v Speaker 2>could give your kid that would cause a thirty one

0:33:29.360 --> 0:33:34.080
<v Speaker 2>percent decrease in upper respiratory infections. Like that seems pretty important.

0:33:34.240 --> 0:33:37.720
<v Speaker 2>And so I'm a little bit confused. And it's not

0:33:37.800 --> 0:33:39.880
<v Speaker 2>like the studies were published in twenty twenty five. It's like, oh,

0:33:39.920 --> 0:33:41.520
<v Speaker 2>somebody is doing that, Like, what do you think is

0:33:41.640 --> 0:33:44.520
<v Speaker 2>in the way of what we'd really want here, large

0:33:44.520 --> 0:33:47.560
<v Speaker 2>scale randomized control trial really evaluating this?

0:33:48.120 --> 0:33:51.560
<v Speaker 1>Yeah, in money is the is the answer. So you know,

0:33:51.680 --> 0:33:55.640
<v Speaker 1>colostrum is recognized by the FDA's a dietary supplement. So

0:33:56.480 --> 0:33:59.640
<v Speaker 1>that has two implications. Number one, it doesn't have to

0:33:59.680 --> 0:34:03.760
<v Speaker 1>be vetted. They have to adhere to certain good manufacturing practices.

0:34:03.840 --> 0:34:06.240
<v Speaker 1>But it's not like tested by the FDA. There's no

0:34:06.920 --> 0:34:11.080
<v Speaker 1>they don't need to prove that it's efficacious or that

0:34:11.200 --> 0:34:14.120
<v Speaker 1>it is safe. It's generally recognized as safe. It's like

0:34:14.160 --> 0:34:17.040
<v Speaker 1>a food product, which means there's really no moat, like

0:34:17.200 --> 0:34:21.080
<v Speaker 1>anyone can sell colostrum. And so you know, in theory,

0:34:21.400 --> 0:34:24.160
<v Speaker 1>if you you know, if you're a big pharmaceutical company

0:34:24.200 --> 0:34:26.399
<v Speaker 1>that's going to fund a multimillion dollar trial, you want

0:34:26.400 --> 0:34:28.359
<v Speaker 1>to be able to sell your thing for more money

0:34:28.360 --> 0:34:30.080
<v Speaker 1>at least into your patent runs out, and that's not

0:34:30.120 --> 0:34:33.120
<v Speaker 1>possible here. What can happen and the way this often

0:34:33.160 --> 0:34:36.799
<v Speaker 1>works when there are signals from natural substances is that

0:34:37.480 --> 0:34:40.240
<v Speaker 1>pharmaceutical companies will go in and like try to pull

0:34:40.280 --> 0:34:44.160
<v Speaker 1>out what molecules might be meeting this effect, and then

0:34:44.280 --> 0:34:47.719
<v Speaker 1>you know patent and do a trial on that molecule.

0:34:47.920 --> 0:34:53.040
<v Speaker 1>That often doesn't work because you know, and it's not

0:34:53.080 --> 0:34:56.279
<v Speaker 1>because there's like a magical combination of things, and you

0:34:56.320 --> 0:34:59.560
<v Speaker 1>need the magical combination to work like a LAH original

0:34:59.640 --> 0:35:02.279
<v Speaker 1>Michael and Batman, Hello, gen X, how are you today?

0:35:02.320 --> 0:35:02.480
<v Speaker 3>Good?

0:35:02.600 --> 0:35:08.840
<v Speaker 1>Good? It's that you are often wrong about the substance

0:35:08.880 --> 0:35:11.279
<v Speaker 1>that you've like put your nickel down on. So I

0:35:11.280 --> 0:35:12.920
<v Speaker 1>think that's the that's the main problem.

0:35:13.000 --> 0:35:15.279
<v Speaker 3>Yeah, I mean I think I totally agree that's the

0:35:15.320 --> 0:35:15.880
<v Speaker 3>main problem.

0:35:15.920 --> 0:35:20.600
<v Speaker 2>This is one of my frustrations with like the ANIH

0:35:20.640 --> 0:35:22.719
<v Speaker 2>and other like government funders, because.

0:35:22.480 --> 0:35:24.160
<v Speaker 3>I feel like, yeah, they could do this, they could

0:35:24.160 --> 0:35:24.360
<v Speaker 3>do this.

0:35:24.520 --> 0:35:26.000
<v Speaker 2>They could just be like, you know what, Farma is

0:35:26.040 --> 0:35:27.719
<v Speaker 2>not going to do this, you know, fharmas it's not

0:35:27.840 --> 0:35:30.400
<v Speaker 2>a hill to make your penis grow faster or whatever,

0:35:30.440 --> 0:35:33.520
<v Speaker 2>which presumably Pharma is into. It is something that couldn't

0:35:33.560 --> 0:35:37.880
<v Speaker 2>potentially improve a lot of people's lives, and we could

0:35:38.040 --> 0:35:40.600
<v Speaker 2>we the NIH could fund someone to run this child,

0:35:40.600 --> 0:35:43.239
<v Speaker 2>which wouldn't, actually, by the way, be that expensive. It's

0:35:43.280 --> 0:35:45.160
<v Speaker 2>like how I feel about breast milk storage, and I

0:35:45.160 --> 0:35:47.160
<v Speaker 2>have a lot of feelings about the things the NIH.

0:35:47.239 --> 0:35:50.640
<v Speaker 1>And this actually feels kind of aligned with the MAHA agenda, right,

0:35:50.680 --> 0:35:53.319
<v Speaker 1>It's like this is a natural thing. And you could

0:35:53.360 --> 0:35:56.120
<v Speaker 1>even imagine a whole NIH institute who's like, Okay, we're

0:35:56.160 --> 0:35:59.160
<v Speaker 1>going to test the stuff that like no one else

0:35:59.440 --> 0:36:03.759
<v Speaker 1>you know, that's that's widely available, that's not patented. And

0:36:03.840 --> 0:36:06.080
<v Speaker 1>if it doesn't work, fine, great, we learned something. And

0:36:06.120 --> 0:36:07.920
<v Speaker 1>if it does work, we have this great new public

0:36:07.920 --> 0:36:10.640
<v Speaker 1>health intervention that is widely accessible. To totally agree, it

0:36:10.640 --> 0:36:11.600
<v Speaker 1>seems like a great use of that.

0:36:11.719 --> 0:36:12.960
<v Speaker 3>I agree, Jay Boudicharia.

0:36:13.680 --> 0:36:16.440
<v Speaker 2>Jay, if you're still talking to me after the interview

0:36:16.440 --> 0:36:18.880
<v Speaker 2>I did with you last week, I have some This

0:36:19.040 --> 0:36:19.880
<v Speaker 2>is my suggestion.

0:36:21.480 --> 0:36:23.680
<v Speaker 1>Make it happen, Jay, doctor Jay.

0:36:23.760 --> 0:36:24.520
<v Speaker 3>Jay, let's do it.

0:36:24.560 --> 0:36:27.200
<v Speaker 2>Okay, all right, So let's talk about the last sort

0:36:27.239 --> 0:36:30.320
<v Speaker 2>of set of big things that come up in colostrum,

0:36:30.920 --> 0:36:34.080
<v Speaker 2>which is leeky gut intestinal permeability.

0:36:34.760 --> 0:36:38.239
<v Speaker 3>H lee, hey gut. It's so popular with the wellness influencers.

0:36:38.280 --> 0:36:41.760
<v Speaker 3>Nobody wants it. Where is it leaking? To Perry, where's

0:36:41.760 --> 0:36:42.160
<v Speaker 3>it going?

0:36:43.000 --> 0:36:47.160
<v Speaker 1>It's god, the wellness influencer marketing is so much better

0:36:47.320 --> 0:36:51.680
<v Speaker 1>than like everyone else. Leaky gut sounds terrible. Talked about

0:36:51.680 --> 0:36:55.160
<v Speaker 1>glucose spikes before, like it's really good. It's no one

0:36:55.160 --> 0:36:58.080
<v Speaker 1>wants a leaky gut. Okay. First of all, it's very

0:36:58.120 --> 0:37:00.799
<v Speaker 1>important that your gut is leaky, because if nothing got

0:37:00.840 --> 0:37:05.799
<v Speaker 1>through your gut, you would die. So let's set the

0:37:05.840 --> 0:37:13.080
<v Speaker 1>table here. Intestinal permeability is the medical term for what's

0:37:13.120 --> 0:37:15.920
<v Speaker 1>going on, and your intestine is supposed to be permeable

0:37:16.120 --> 0:37:20.680
<v Speaker 1>to a wide variety of things amano acids, proteins, glucose,

0:37:20.719 --> 0:37:22.680
<v Speaker 1>other substances, et cetera. That's what your gut is for.

0:37:22.840 --> 0:37:25.240
<v Speaker 2>This is because as the food moves through your small intestine,

0:37:25.239 --> 0:37:26.680
<v Speaker 2>that's when the stuff comes out of it. It goes

0:37:26.680 --> 0:37:28.279
<v Speaker 2>through your small intestine and stuff comes out and goes

0:37:28.280 --> 0:37:30.200
<v Speaker 2>into your bloodstream, and that's how you get nutrients.

0:37:31.000 --> 0:37:34.960
<v Speaker 1>That's correct, and you want that. Now you can measure

0:37:34.960 --> 0:37:37.440
<v Speaker 1>intestinal permeability in the lab. What you do is you

0:37:37.960 --> 0:37:40.319
<v Speaker 1>give someone a dose of some substance that should not

0:37:40.360 --> 0:37:43.160
<v Speaker 1>be absorbed very well, like something like mannitol for example.

0:37:43.160 --> 0:37:45.960
<v Speaker 1>It's like a poorly absorbed sugar type of thing, and

0:37:46.000 --> 0:37:47.839
<v Speaker 1>then you measure it in their blood. And you can

0:37:47.960 --> 0:37:52.040
<v Speaker 1>certainly show that there's variation across people, like some people

0:37:52.600 --> 0:37:54.600
<v Speaker 1>they take the manson like there's more in their blood

0:37:54.600 --> 0:37:58.000
<v Speaker 1>and some people there's less. And scientists have shown that

0:37:58.040 --> 0:38:02.760
<v Speaker 1>people with comorbid condition like people who are sicker, often

0:38:02.800 --> 0:38:03.759
<v Speaker 1>have a leak your gut.

0:38:03.800 --> 0:38:06.719
<v Speaker 2>By that definition, it means more stuff that should not

0:38:06.760 --> 0:38:08.399
<v Speaker 2>be getting through is getting through.

0:38:09.239 --> 0:38:12.000
<v Speaker 1>It's not even necessarily that should not be getting through.

0:38:12.040 --> 0:38:14.920
<v Speaker 1>It's just like that usually doesn't get through, if you

0:38:14.960 --> 0:38:19.040
<v Speaker 1>appreciate sort of where I'm going with that. But there's

0:38:19.080 --> 0:38:23.400
<v Speaker 1>this real causality problem here, right, Like a lot of

0:38:23.440 --> 0:38:25.920
<v Speaker 1>wellness people be like, oh, no, it's your leaky gut

0:38:26.000 --> 0:38:30.040
<v Speaker 1>that causes the diabetes or the cancer or the dementia

0:38:30.160 --> 0:38:33.319
<v Speaker 1>or like whatever it is, as opposed to it's the

0:38:33.680 --> 0:38:37.440
<v Speaker 1>diabetes or the cancer or the dementia that causes the

0:38:37.520 --> 0:38:40.279
<v Speaker 1>leaky gut, and we don't know the difference there.

0:38:40.480 --> 0:38:42.400
<v Speaker 2>Yeah, yeah, it's sort of I mean, another way to

0:38:42.440 --> 0:38:44.919
<v Speaker 2>say this is like, even if colassroom were to fix

0:38:44.960 --> 0:38:46.919
<v Speaker 2>your leaky gut, it isn't really obvious that the leaky

0:38:46.960 --> 0:38:50.360
<v Speaker 2>gut itself is really a particular issue. It is just

0:38:50.520 --> 0:38:55.280
<v Speaker 2>a thing we see rising that is higher among people

0:38:55.320 --> 0:38:58.440
<v Speaker 2>with certain conditions, but also in other like this is

0:38:58.520 --> 0:39:01.960
<v Speaker 2>like a problem and that athletes have, like you stress,

0:39:02.000 --> 0:39:02.520
<v Speaker 2>your body.

0:39:02.760 --> 0:39:06.319
<v Speaker 1>Stuff gets absolutely Now in the medical space, there is

0:39:06.360 --> 0:39:10.640
<v Speaker 1>this phenomenon called bacterial translocation, where someone comes in with

0:39:10.640 --> 0:39:13.680
<v Speaker 1>a bloodstream infection with bacteria. This is bad. I shouldn't

0:39:13.719 --> 0:39:17.640
<v Speaker 1>want this, this is sepsis sepsis, And when someone comes

0:39:17.640 --> 0:39:20.040
<v Speaker 1>in with that, we zoom around and we look for

0:39:20.080 --> 0:39:23.320
<v Speaker 1>what the source of the infection is and we identify

0:39:23.400 --> 0:39:25.960
<v Speaker 1>the infection. We're like, Okay, is there a skin lesion

0:39:26.040 --> 0:39:27.960
<v Speaker 1>that spread to the blood? Is do they have pneumonia

0:39:28.000 --> 0:39:29.920
<v Speaker 1>that spread to the blood? Like where did it come from?

0:39:30.320 --> 0:39:33.920
<v Speaker 1>And every once in a while you cannot find the source.

0:39:34.320 --> 0:39:37.399
<v Speaker 1>And if it's a gut organism like E. Coli that's

0:39:37.440 --> 0:39:39.480
<v Speaker 1>in the blood, all you're left with is like did

0:39:39.520 --> 0:39:42.520
<v Speaker 1>the E. Coal I like escape from the gut? And

0:39:42.520 --> 0:39:45.480
<v Speaker 1>you know, bacteria are a lot bigger than glucose molecules, right,

0:39:45.520 --> 0:39:48.360
<v Speaker 1>so like they should bacteria should not be translocating the gut,

0:39:49.000 --> 0:39:53.520
<v Speaker 1>but in very stressful situations it can. And the reason

0:39:53.520 --> 0:39:58.480
<v Speaker 1>I'm mentioning this is because of one study looking at

0:39:58.520 --> 0:40:03.120
<v Speaker 1>this phenomenon actually in sixty two children who had newly

0:40:03.200 --> 0:40:08.759
<v Speaker 1>diagnosed leukemia, all leukemia. And one of the problems when

0:40:08.760 --> 0:40:11.560
<v Speaker 1>you're getting chemotherapy, you know, pretty intense chemotherapy like this,

0:40:11.840 --> 0:40:16.040
<v Speaker 1>is that you can affect the intestinal lining and you

0:40:16.080 --> 0:40:20.440
<v Speaker 1>can get bacterial translocation. And if these kids get sepsis,

0:40:20.480 --> 0:40:23.120
<v Speaker 1>they're in big trouble. We don't want that to happen.

0:40:23.160 --> 0:40:25.360
<v Speaker 1>So anything you could put in there to like prevent

0:40:25.400 --> 0:40:28.920
<v Speaker 1>bacteria from getting out would be great. So they randomize

0:40:28.960 --> 0:40:34.320
<v Speaker 1>these kids to or bovine colostrum while they were getting

0:40:34.320 --> 0:40:38.319
<v Speaker 1>that induction chemotherapy versus a control, and they were looking

0:40:38.320 --> 0:40:45.120
<v Speaker 1>at fever as well as bacteremia, and there was no

0:40:45.200 --> 0:40:48.959
<v Speaker 1>difference in fever or infection rates. They look at fever,

0:40:49.000 --> 0:40:50.600
<v Speaker 1>by the way, as a marker of like maybe the

0:40:50.600 --> 0:40:52.720
<v Speaker 1>bacteria got in, but then you thought it off before

0:40:52.719 --> 0:40:54.800
<v Speaker 1>we detected it and like caused a fever response. So

0:40:54.920 --> 0:40:58.120
<v Speaker 1>no difference in fever or infection rates, but there was

0:40:58.160 --> 0:41:01.040
<v Speaker 1>a secondary outcome that was positive. Here some called mucusitis,

0:41:01.040 --> 0:41:02.960
<v Speaker 1>which are like these ulcers that develop in the mouth

0:41:02.960 --> 0:41:05.879
<v Speaker 1>with intensive chemotherapy. It's incredible painful. That was improved by

0:41:05.880 --> 0:41:09.640
<v Speaker 1>the colostrum. And so I'm setting this in terms of,

0:41:09.680 --> 0:41:13.520
<v Speaker 1>like this is the leakiest gut you can have where

0:41:13.560 --> 0:41:17.799
<v Speaker 1>you're actually worried about bacterial translocation causing you know, sepsis

0:41:17.800 --> 0:41:22.839
<v Speaker 1>and death. Colostrum is not preventing that phenomenon. That's our

0:41:22.840 --> 0:41:25.640
<v Speaker 1>starting point. Now we can kind of walk this back

0:41:26.000 --> 0:41:29.920
<v Speaker 1>to maybe your average everyday person who's worried about, you know,

0:41:30.640 --> 0:41:31.640
<v Speaker 1>their own gut health.

0:41:32.160 --> 0:41:34.600
<v Speaker 2>And when we walk it back there, I would say

0:41:34.640 --> 0:41:38.920
<v Speaker 2>there is a bit of evidence. Again, the evidence probably

0:41:38.960 --> 0:41:45.759
<v Speaker 2>stronger in sports than in nonsports. You know, the to

0:41:45.800 --> 0:41:49.759
<v Speaker 2>the extent that the stress of like intense exercise increases

0:41:49.840 --> 0:41:53.120
<v Speaker 2>the permeability of the gut, which we know that it does.

0:41:53.600 --> 0:41:59.160
<v Speaker 2>This seems to some extent truncate that that rise and

0:41:59.200 --> 0:42:01.879
<v Speaker 2>so kind of I don't know, seal off the gut

0:42:01.920 --> 0:42:05.000
<v Speaker 2>a little bit, I guess, which is interesting, and I

0:42:05.000 --> 0:42:08.239
<v Speaker 2>guess is potentially some of the mechanism for some of

0:42:08.280 --> 0:42:10.480
<v Speaker 2>the performance effects, although I'm not sure why that would

0:42:10.880 --> 0:42:11.600
<v Speaker 2>why that would be.

0:42:11.600 --> 0:42:14.600
<v Speaker 1>I don't either. I just I don't know why leaky

0:42:14.920 --> 0:42:16.720
<v Speaker 1>gut is is bad.

0:42:16.600 --> 0:42:18.399
<v Speaker 2>Right, I mean, I think there's a fundamental thing which

0:42:18.440 --> 0:42:21.560
<v Speaker 2>is outside of this kind of setting that you're talking

0:42:21.600 --> 0:42:23.600
<v Speaker 2>about with with you know, kids who are very sick,

0:42:23.600 --> 0:42:25.839
<v Speaker 2>where this could potentially lead, Like it's not really clear

0:42:25.880 --> 0:42:27.640
<v Speaker 2>why you would care about fixing this, why you would

0:42:27.640 --> 0:42:28.919
<v Speaker 2>care if you had it, why you would care about

0:42:28.920 --> 0:42:31.239
<v Speaker 2>fixing it if you were an otherwise healthy person. So

0:42:31.400 --> 0:42:34.520
<v Speaker 2>observing that this fixes that, Okay.

0:42:34.640 --> 0:42:36.880
<v Speaker 1>It's not enough you've got it. You've gone from A

0:42:36.920 --> 0:42:39.520
<v Speaker 1>to B. That's great. Now go from B to scene.

0:42:39.520 --> 0:42:43.400
<v Speaker 1>Now show me that you have improved, you know, exercise performance,

0:42:43.400 --> 0:42:45.839
<v Speaker 1>and then hey, there's there's a little bit of that.

0:42:46.440 --> 0:42:50.680
<v Speaker 1>This is a potential mechanism, but again, small effects sizes

0:42:50.760 --> 0:42:52.680
<v Speaker 1>in small studies they do.

0:42:52.719 --> 0:42:56.000
<v Speaker 2>You know, they look at like diarrhea in some ill patients,

0:42:56.000 --> 0:42:59.880
<v Speaker 2>which were kind of interesting, and they saw some reduction

0:43:00.600 --> 0:43:03.759
<v Speaker 2>actually quite a large, small study of quite a large

0:43:03.760 --> 0:43:08.400
<v Speaker 2>reduction in diarrheal events among HIV patients in Uganda. So

0:43:08.440 --> 0:43:12.000
<v Speaker 2>there's a few pieces here of kind of yeah, potentially

0:43:12.080 --> 0:43:14.520
<v Speaker 2>interesting outcomes, but.

0:43:16.040 --> 0:43:17.759
<v Speaker 3>I wouldn't say it's overwhelming.

0:43:19.040 --> 0:43:22.759
<v Speaker 1>Yeah it is, it's definitely not. And there's studies that

0:43:22.800 --> 0:43:25.120
<v Speaker 1>don't show improvements in diarrhea. They did a study of

0:43:25.200 --> 0:43:30.760
<v Speaker 1>kids with shigella infection, which is an unpleasant bacterial diarrhea illness,

0:43:30.800 --> 0:43:36.120
<v Speaker 1>and no difference with the colostrum. We need to talk

0:43:36.520 --> 0:43:41.080
<v Speaker 1>about safety because upfront, that guy was holding if you're

0:43:41.080 --> 0:43:46.200
<v Speaker 1>watching this on a video, this big jar of bovine colostrum,

0:43:46.920 --> 0:43:48.799
<v Speaker 1>raw and unpasteurized.

0:43:49.280 --> 0:43:51.799
<v Speaker 2>I will say the reason the influencers like the unpasteurized

0:43:51.840 --> 0:43:54.160
<v Speaker 2>colostrum is that there are some elements of glossrum that

0:43:54.200 --> 0:43:56.360
<v Speaker 2>would be killed by pastor is it like some of

0:43:56.400 --> 0:43:59.480
<v Speaker 2>these elements that might be killed by pasteurization. So if

0:43:59.480 --> 0:44:02.880
<v Speaker 2>you're a true and wellness influencer here, you are into

0:44:02.920 --> 0:44:04.920
<v Speaker 2>the raw colostrum. Although I will say all of these

0:44:04.960 --> 0:44:09.440
<v Speaker 2>studies would be using pasteurized colostrum powder, which is in

0:44:09.440 --> 0:44:12.920
<v Speaker 2>the study okay, correct.

0:44:13.840 --> 0:44:18.960
<v Speaker 1>And moreover, even the things that are heard by pasteurization,

0:44:19.360 --> 0:44:21.439
<v Speaker 1>even the things that are in activated by pasturization, still

0:44:21.440 --> 0:44:23.960
<v Speaker 1>don't make it into your blood in the right in

0:44:24.000 --> 0:44:28.960
<v Speaker 1>the raw form. So okay, and what Emily, what else

0:44:29.560 --> 0:44:31.080
<v Speaker 1>is killed by pasteurization?

0:44:31.480 --> 0:44:34.759
<v Speaker 2>Yeah, it's it's it's ecoli and other bacteria that make

0:44:34.840 --> 0:44:38.360
<v Speaker 2>you really sick. And the reason that we don't recommend

0:44:38.440 --> 0:44:41.919
<v Speaker 2>people drink raw milk or raw colostrum is that it

0:44:41.960 --> 0:44:45.799
<v Speaker 2>can be and often is tremendously full of bacteria that

0:44:45.920 --> 0:44:48.080
<v Speaker 2>will make you very sick. And if you are taking

0:44:48.120 --> 0:44:51.279
<v Speaker 2>this colostrum so you don't have a lot of diarrhea,

0:44:52.040 --> 0:44:54.200
<v Speaker 2>you are also putting yourself at risk for quite a

0:44:54.200 --> 0:44:56.800
<v Speaker 2>lot of diarrhea from the ecolib it may be lurking

0:44:57.320 --> 0:45:00.000
<v Speaker 2>in your colostrum and also other things.

0:45:00.000 --> 0:45:01.839
<v Speaker 3>It's not just eqaly other things.

0:45:02.080 --> 0:45:04.560
<v Speaker 1>Yep, I'll put some numbers on it for you. Journal

0:45:04.600 --> 0:45:07.920
<v Speaker 1>of Dairy Science twenty twenty one. They looked at twelve

0:45:08.040 --> 0:45:11.399
<v Speaker 1>one hundred and forty one colostrum samples from thirty nine

0:45:11.480 --> 0:45:17.560
<v Speaker 1>Czech dairy farms. The average count of bacteria per plate

0:45:17.680 --> 0:45:20.440
<v Speaker 1>that they put the colostrum on was four hundred and

0:45:20.480 --> 0:45:24.160
<v Speaker 1>eight thousand colony forming units per milli liter, and only

0:45:24.239 --> 0:45:28.440
<v Speaker 1>twenty eight point four percent met the recommended threshold for

0:45:29.040 --> 0:45:32.120
<v Speaker 1>bacteria levels, which is less than one hundred thousand colony

0:45:32.160 --> 0:45:36.440
<v Speaker 1>farming units per milliliter. A study in Northern Ireland a

0:45:36.440 --> 0:45:39.560
<v Speaker 1>few years earlier than that found that eighty one percent

0:45:39.760 --> 0:45:44.920
<v Speaker 1>of raw colostrum samples exceeded industry bacterial contamination guidelines. So

0:45:45.800 --> 0:45:50.120
<v Speaker 1>chances are there's quite a bit of ecali and other

0:45:50.400 --> 0:45:53.319
<v Speaker 1>nasties in the colostrum if it hasn't been pasteurized.

0:45:54.160 --> 0:45:57.080
<v Speaker 2>Yeah, there's some evidence we also have some of these

0:45:57.640 --> 0:46:00.680
<v Speaker 2>in the dried commercial products as well, so it's not

0:46:00.920 --> 0:46:05.240
<v Speaker 2>it's not only the raw milk colostrums that are impacted anyway.

0:46:05.280 --> 0:46:07.799
<v Speaker 3>This is you should be careful about your colostrum.

0:46:08.480 --> 0:46:12.600
<v Speaker 1>Definitely. Do you want to touch briefly Emily on like

0:46:13.560 --> 0:46:16.080
<v Speaker 1>this might be the bleeding heart in me here, but like,

0:46:17.160 --> 0:46:21.080
<v Speaker 1>what about these baby cows, Like, isn't it for them?

0:46:21.440 --> 0:46:22.279
<v Speaker 3>It is for them?

0:46:23.080 --> 0:46:26.239
<v Speaker 2>I mean, I think what the people who produce both

0:46:26.280 --> 0:46:29.680
<v Speaker 2>my colostrum will say is that an individual cow produces

0:46:29.760 --> 0:46:33.960
<v Speaker 2>far more colosterrum than a calf needs. I think the

0:46:34.120 --> 0:46:37.520
<v Speaker 2>counter point is like, but why, that's not how evolution works?

0:46:38.320 --> 0:46:40.759
<v Speaker 2>You know, why are they producing all this extra colostrum?

0:46:41.760 --> 0:46:48.080
<v Speaker 2>So I get this definitely comes up in people's concerns. Again,

0:46:48.120 --> 0:46:49.960
<v Speaker 2>I think you make the same complaint about milk.

0:46:50.280 --> 0:46:53.040
<v Speaker 1>I wouldn't, though, because milk, as long as you keep

0:46:53.080 --> 0:46:55.560
<v Speaker 1>milking a cow, they'll keep making milk even after the

0:46:55.600 --> 0:46:56.200
<v Speaker 1>calf doesn't.

0:46:56.440 --> 0:46:58.400
<v Speaker 3>The colossrum is more limited, right, yeah.

0:46:58.239 --> 0:47:01.600
<v Speaker 1>Colostrum is like time limited, and think of how cute

0:47:01.680 --> 0:47:05.600
<v Speaker 1>the baby cows are. Are you considering that aspect from

0:47:05.840 --> 0:47:06.560
<v Speaker 1>a data point of.

0:47:06.600 --> 0:47:10.080
<v Speaker 3>View, I'm considering it people.

0:47:10.120 --> 0:47:12.720
<v Speaker 2>Probably the people whore eating the raw colostrum are also

0:47:12.719 --> 0:47:14.279
<v Speaker 2>eating veal, you.

0:47:14.239 --> 0:47:16.960
<v Speaker 1>Think, so I feel like that ven diagram does not

0:47:17.040 --> 0:47:18.479
<v Speaker 1>overlap for I think you're wrong.

0:47:18.680 --> 0:47:21.359
<v Speaker 2>I think you are wrong. I guess we could look

0:47:21.360 --> 0:47:22.400
<v Speaker 2>at the data listeners.

0:47:23.280 --> 0:47:26.360
<v Speaker 1>Are you both veal and raw colostrum.

0:47:26.600 --> 0:47:32.279
<v Speaker 2>Okay, all right, Perry, smash your pass on colostrum.

0:47:33.080 --> 0:47:37.480
<v Speaker 1>I am a pass on colostrum. I think, you know,

0:47:37.719 --> 0:47:39.680
<v Speaker 1>if this is not the way I want to spend

0:47:39.680 --> 0:47:43.279
<v Speaker 1>my fifty bucks some month and what I want to be,

0:47:43.480 --> 0:47:45.600
<v Speaker 1>you know, mixing into my shakes in the morning, there's

0:47:45.640 --> 0:47:47.920
<v Speaker 1>other better stuff. I'm a pass. How about you, Emily

0:47:47.960 --> 0:47:49.440
<v Speaker 1>smash pass Okay, I.

0:47:49.960 --> 0:47:52.319
<v Speaker 2>Am actually a soft smash, And I will say I

0:47:52.360 --> 0:47:55.840
<v Speaker 2>do have this. I do call after all of this,

0:47:56.760 --> 0:47:59.840
<v Speaker 2>after all of this, this is an example of some

0:48:00.080 --> 0:48:04.560
<v Speaker 2>thing where I think, if you are an athlete who

0:48:04.719 --> 0:48:09.719
<v Speaker 2>has GI problems, I believe this might be worth a

0:48:09.800 --> 0:48:15.520
<v Speaker 2>self experimentation because I think some of the evidence is

0:48:15.560 --> 0:48:19.920
<v Speaker 2>a little suggestive. I wouldn't recommend it is a general rule,

0:48:20.360 --> 0:48:23.160
<v Speaker 2>but I'm I guess I'm a soft soft smash.

0:48:23.360 --> 0:48:26.600
<v Speaker 1>Okay, I'll give it to you. Are you an athlete

0:48:26.640 --> 0:48:28.760
<v Speaker 1>with GI problems? And do you feel like it's helped

0:48:28.800 --> 0:48:31.640
<v Speaker 1>your athleticism or GI problem?

0:48:32.040 --> 0:48:35.120
<v Speaker 2>Yes, I am an athlete with GI problems, and no

0:48:35.320 --> 0:48:37.040
<v Speaker 2>I don't think that it helps me.

0:48:37.160 --> 0:48:39.600
<v Speaker 3>But I am not sorry that I tried it.

0:48:40.200 --> 0:48:43.799
<v Speaker 2>Okay, it turns out what helps is not eating too

0:48:43.920 --> 0:48:47.560
<v Speaker 2>much salad for dinner. We can get into that another

0:48:48.160 --> 0:48:50.960
<v Speaker 2>at another time, or perhaps never, Perhaps we can never

0:48:51.000 --> 0:48:51.520
<v Speaker 2>get into that.

0:48:52.239 --> 0:48:57.040
<v Speaker 1>Well, not eating salad is cheaper than buying colostrum.

0:48:57.080 --> 0:49:01.360
<v Speaker 3>Totally, totally. Salad has too much fiber. That's the problem. Anyway,

0:49:02.040 --> 0:49:02.600
<v Speaker 3>there we go.

0:49:03.440 --> 0:49:06.080
<v Speaker 2>All right, that is it for colostrum. Your mail back

0:49:06.160 --> 0:49:07.840
<v Speaker 2>question of the week after the break.

0:49:13.120 --> 0:49:15.479
<v Speaker 3>Hi dad at all? This is a liar.

0:49:15.960 --> 0:49:17.799
<v Speaker 2>Why do people sneeze when they look at the sun?

0:49:18.120 --> 0:49:21.440
<v Speaker 1>This is a question from my own home. That's my

0:49:21.520 --> 0:49:24.960
<v Speaker 1>daughter writing the question. This happens to her, Emily. Are

0:49:24.960 --> 0:49:26.759
<v Speaker 1>you a photic sneezer?

0:49:27.280 --> 0:49:30.640
<v Speaker 3>The I'm not a photo sneezer? Are you? Is it genetic?

0:49:31.680 --> 0:49:36.520
<v Speaker 1>I am not, but my wife is. And there is

0:49:36.800 --> 0:49:43.080
<v Speaker 1>in fact a genetic condition called autosomal dominant compelling helio

0:49:43.200 --> 0:49:50.560
<v Speaker 1>ophthalmic outburst or the ACHU syndrome, which you made that up.

0:49:50.760 --> 0:49:53.840
<v Speaker 1>I did not. I mean that it is a It

0:49:53.920 --> 0:49:57.800
<v Speaker 1>is a real genetic syndrome, maybe a bit more dramatic

0:49:57.800 --> 0:49:59.680
<v Speaker 1>than what people are thinking about. These are people who

0:49:59.719 --> 0:50:02.360
<v Speaker 1>will have a series of like ten sneezes in response

0:50:02.400 --> 0:50:05.239
<v Speaker 1>to bright light, which is not what like my daughter

0:50:05.320 --> 0:50:08.480
<v Speaker 1>or my wife has. You know what most people I've

0:50:08.480 --> 0:50:10.640
<v Speaker 1>experienced is going into bright light and you have like

0:50:10.800 --> 0:50:15.360
<v Speaker 1>a sneeze or two. This has been recognized for centuries

0:50:15.400 --> 0:50:18.680
<v Speaker 1>and centuries. I think like I think like Aristotle or

0:50:18.719 --> 0:50:22.719
<v Speaker 1>something like this wrote about it, and it's not fully understood.

0:50:22.760 --> 0:50:26.600
<v Speaker 1>People think that it is a little cross talk between

0:50:26.640 --> 0:50:29.719
<v Speaker 1>your optic nerve and your ophthalmic nerve. So the nerves

0:50:29.719 --> 0:50:32.720
<v Speaker 1>from your eyes and the nerve coming from your nose,

0:50:32.840 --> 0:50:35.160
<v Speaker 1>and like the bright light kind of like goes your

0:50:35.200 --> 0:50:37.560
<v Speaker 1>optic nerve a little bit, and that kind of jazz

0:50:37.640 --> 0:50:39.680
<v Speaker 1>is your ophthalmic nerve in some people, and you just

0:50:39.760 --> 0:50:42.080
<v Speaker 1>like sneeze out of confusion.

0:50:43.080 --> 0:50:45.279
<v Speaker 3>That is totally fascinating.

0:50:45.320 --> 0:50:49.080
<v Speaker 2>And so it's autosomal dominant, which means that it is strong.

0:50:49.160 --> 0:50:51.160
<v Speaker 3>That would be a strong genetically.

0:50:50.719 --> 0:50:52.400
<v Speaker 1>Yeah, it would mean that if one of your parents

0:50:52.680 --> 0:50:56.560
<v Speaker 1>has it, you have a fifty percent chance of inheriting it.

0:50:57.040 --> 0:50:59.600
<v Speaker 2>That is totally fascinating. And I had no idea. The

0:50:59.640 --> 0:51:01.280
<v Speaker 2>only thing makes me sneeze is pollen.

0:51:01.719 --> 0:51:04.000
<v Speaker 1>Oh well, it's been it's been rough this year.

0:51:04.080 --> 0:51:08.040
<v Speaker 2>It's been a bad year for sneezing. I choose syndrome fantastic,

0:51:10.760 --> 0:51:13.319
<v Speaker 2>all right, that is it for us today? Stick with

0:51:13.400 --> 0:51:15.640
<v Speaker 2>us next week when we will ask what's the deal

0:51:15.840 --> 0:51:19.640
<v Speaker 2>with psychedelics? I'm excited, but I will say I don't

0:51:19.640 --> 0:51:22.480
<v Speaker 2>have these in my cabinet, Perry, so I won't have

0:51:22.520 --> 0:51:30.799
<v Speaker 2>as much personal experience. Wellness Actually is produced in association

0:51:30.920 --> 0:51:35.480
<v Speaker 2>with iHeartMedia. Our senior producer is Tamar Avisheik. Our executive

0:51:35.480 --> 0:51:38.960
<v Speaker 2>producer at iHeart is Jennifer Bassett. Our theme music is

0:51:38.960 --> 0:51:42.480
<v Speaker 2>by Eric Deutsch, and our content is for educational purposes only.

0:51:43.160 --> 0:51:45.440
<v Speaker 1>If you like the show, help other people find us,

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0:51:58.080 --> 0:52:00.600
<v Speaker 1>Head over to Wellness Actually dot fm and leave us

0:52:00.600 --> 0:52:03.200
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0:52:03.239 --> 0:52:03.879
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0:52:04.680 --> 0:52:07.120
<v Speaker 3>We'll let the influencers have the last word. To know

0:52:07.320 --> 0:52:08.279
<v Speaker 3>if you have a leaky gut.

0:52:08.360 --> 0:52:11.600
<v Speaker 1>There's no such thing one chronic fatigue. I have chronic fatigue,

0:52:11.719 --> 0:52:14.360
<v Speaker 1>frequent headaches and brain falls. I have frequent headaches and

0:52:14.400 --> 0:52:14.839
<v Speaker 1>brain thoughts.

0:52:14.960 --> 0:52:15.960
<v Speaker 3>Armor clossum is.

0:52:15.960 --> 0:52:18.680
<v Speaker 1>A pure oh come on man strengthens your.

0:52:18.560 --> 0:52:21.080
<v Speaker 3>Gut burial replenishes from my biome.

0:52:21.280 --> 0:52:22.040
<v Speaker 1>Comeback tooth