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<v Speaker 1>Hello everyone, and welcome to Talk Nerdy. Today is Monday,

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<v Speaker 1>June twenty ninth, twenty twenty six, and I'm the host

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<v Speaker 1>of the show Doctor Kara Santa Maria, and I do

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<v Speaker 1>want to apologize for not putting out a new episode

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<v Speaker 1>last week. It has been just a hell of a

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<v Speaker 1>time over here. In addition to if you listen to

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<v Speaker 1>The Skeptics Guide to the Universe, the other show that

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<v Speaker 1>I work on, you may have heard that, in addition

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<v Speaker 1>to something as innocuous as having an endoscopy kolenoscopy in

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<v Speaker 1>the middle of the week that threw things off, two

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<v Speaker 1>such large concerns as Evan Bernstein's resignation from the SGU,

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<v Speaker 1>and I would turn you to the most recent episode

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<v Speaker 1>of SGU to learn more about that, all the way

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<v Speaker 1>to the tragic news that we recently received at my

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<v Speaker 1>work in the hospital of the death of my direct supervisor.

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<v Speaker 1>It's just been it's been a trying week, and unfortunately

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<v Speaker 1>I just wasn't able to make it to air last week.

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<v Speaker 1>So I appreciate your patients, and I'm glad that you're

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<v Speaker 1>sticking with me, because this week we've got a really

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<v Speaker 1>good one for you. But before we do dive into

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<v Speaker 1>this week's episode. As always, I want to thank those

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<v Speaker 1>of you who make Talk Nerdy possible. Remember, this show

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<v Speaker 1>is and will always be one hundred percent free to download,

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<v Speaker 1>and the way we can offset that fee basically provide

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<v Speaker 1>this free service, especially for all those who either can't

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<v Speaker 1>afford or just you know, can't prioritize paying for podcasts

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<v Speaker 1>in their life. It's that individuals like you are offsetting

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<v Speaker 1>that cost. The way we do it is using the

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<v Speaker 1>Patreon model, which means you pledge your support on an

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<v Speaker 1>episodic basis. And so right now, I just want to

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<v Speaker 1>thank my top patrons this week. They include Chuck Blell,

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<v Speaker 1>David J. E. Smith, Daniel Lang, Mary Neva, Will Defrain,

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<v Speaker 1>David Compton, Brian Holden, Gabo, Jay l Rica Hagman, Pasqually Gelati,

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<v Speaker 1>Rica Maharaj and Joe Wilkinson. Thank you all, and if

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<v Speaker 1>you're interested in pledging your support, all you've got to

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<v Speaker 1>do is visit patreon dot com slash Talk Nerdy to

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<v Speaker 1>learn more. All right, this week I had the opportunity

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<v Speaker 1>to chat with Roxanne Camsie. She is an author and

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<v Speaker 1>a science communicator. She's written for a ton of outlets,

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<v Speaker 1>that you read New York Times, The Economist, Popular Science, Scientific,

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<v Speaker 1>American Slate, Nott, GEO, on and on and on. She

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<v Speaker 1>is a contributing writer for The Atlantic. Currently and historically,

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<v Speaker 1>she served as chief news editor at Nature Medicine, which is,

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<v Speaker 1>you know, a huge research journal. She did that for

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<v Speaker 1>over a decade, and before that she was a reporter

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<v Speaker 1>for New Scientist magazine, which is also a widely circulating

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<v Speaker 1>UK based science magazine. She also has taught at stony

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<v Speaker 1>Brook University in Long Island through the Allen Alda Center

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<v Speaker 1>for Communicating Science, and at the Craig Newmark Graduate School

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<v Speaker 1>of Journalism at the City University New York. And she

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<v Speaker 1>served on the editorial advisory board of ted MEHD. She

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<v Speaker 1>has a new book. She has her first book, so

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<v Speaker 1>this is very very exciting. It's called Beyond Inheritance, Our

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<v Speaker 1>Ever Mutating Cells and a New Understanding of Health.

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<v Speaker 2>So, without any.

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<v Speaker 1>Further ado, here she is Roxanne Camsie.

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<v Speaker 2>Well, Roxanne, thank you so much for joining me today.

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<v Speaker 3>Thank you. Garrett's great to be here.

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<v Speaker 1>I always love to talk to a veteran science journalist,

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<v Speaker 1>especially one who writes a full length book, because I

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<v Speaker 1>don't know I struggle. Man. I don't know how you

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<v Speaker 1>do it. It's so much work. Does it come easy

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<v Speaker 1>for you? Or was it like a real slog?

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<v Speaker 3>And I always wanted to write a book that that

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<v Speaker 3>was one of my goals when I was growing up.

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<v Speaker 3>I think part of it, you know, I think, you know,

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<v Speaker 3>like as you get older, you realize how And I've

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<v Speaker 3>been doing science journalism for two decades, so I feel

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<v Speaker 3>like I can kind of say say something with that

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<v Speaker 3>kind of statement. But I do feel that you understand

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<v Speaker 3>how much just wanting to do something and feeling like

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<v Speaker 3>the idea comes to you and you have to really

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<v Speaker 3>run with it is a large part of what keeps

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<v Speaker 3>you going through it. And I was really curious what

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<v Speaker 3>it would be like because this was a topic that

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<v Speaker 3>I felt I couldn't do in just a magazine feature.

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<v Speaker 3>This idea in this book is about how our DNA

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<v Speaker 3>changes every single day of our lives. And there were

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<v Speaker 3>a bunch of different scientists from a different fields that

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<v Speaker 3>were coming to the same conclusion, but just like really

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<v Speaker 3>not talking to one another, not understanding how this idea

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<v Speaker 3>has been percolating throughout decades of history. So I felt

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<v Speaker 3>like there's no way to do that in five thousand

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<v Speaker 3>words or ten thousand words. It's really an idea you

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<v Speaker 3>want to sit with and like peel apart like an onion.

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<v Speaker 1>Yeah, And for some journalists who are writing long form,

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<v Speaker 1>when they finally write the book, they're like, oh, I

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<v Speaker 1>had this one piece, or I wrote multiple pieces and

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<v Speaker 1>I was able to kind of synthesize, but add to it.

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<v Speaker 1>Have you nibbled around the edges of this in any

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<v Speaker 1>of your publications in magazines or is this the first time?

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<v Speaker 3>So I went to Florida in twenty seventeen and I've

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<v Speaker 3>gotten this tip from a scientist that there was like

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<v Speaker 3>this interesting stuff going on in the field of cancer,

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<v Speaker 3>where you know, they're basically getting the idea that like

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<v Speaker 3>it's not just one or two mutations that causes cancer

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<v Speaker 3>to form in your body, it's a whole bunch. And

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<v Speaker 3>then there's like sometimes even like what's called a big

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<v Speaker 3>bang of mutations in the cancer. So there's like thousands

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<v Speaker 3>of mutations in one person's tumor. And then there were

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<v Speaker 3>these scientists that the Moffit in Tampa, Florida, and they

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<v Speaker 3>they were trying to understand how they could like play

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<v Speaker 3>cancer cells against one another by removing and restarting therapy

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<v Speaker 3>at like specific intervals. So like they'd take away the

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<v Speaker 3>drugs that were giving these patients with prostate cancer and

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<v Speaker 3>like let the drug sensitive cells like grow faster than

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<v Speaker 3>the drug resistance cells, and then they'd hit the cancer

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<v Speaker 3>with the treatment and like be able to knock out

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<v Speaker 3>more of it using that approach. So just kind of

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<v Speaker 3>just the way in the wilderness, like certain animals compete

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<v Speaker 3>against one another for like resources. They were taking that

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<v Speaker 3>idea and applying it to the cancers to help this

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<v Speaker 3>essentially the cancer cells with the less worse mutations take over.

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<v Speaker 1>And so how did you even start thinking about that?

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<v Speaker 1>Like how did you even get to the place where

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<v Speaker 1>this was on your mind?

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<v Speaker 3>Oh? Well, yeah, so I didn't finish that thought really,

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<v Speaker 3>So like that was that was from a tip from

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<v Speaker 3>a scientist who was like, hey, like cancer biologists are

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<v Speaker 3>really taking this idea of like evolution in the body

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<v Speaker 3>like is happening, and we can leverage it. But then

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<v Speaker 3>when I came back, I was like looking at research

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<v Speaker 3>papers for another part of my job at the time.

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<v Speaker 3>I was in addition to like writing for you know, Wired,

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<v Speaker 3>where I published that story and the new York Times

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<v Speaker 3>magazine is like a freelance journalist. I had a day

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<v Speaker 3>job as an editor at a research journal called Nature Medicine,

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<v Speaker 3>and I was like doing a news roundup and I

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<v Speaker 3>found this paper that was talking about how mutant blood cells,

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<v Speaker 3>so cells that are acquired mutations in the blood were

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<v Speaker 3>linked to an increased risk of heart disease and stroke.

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<v Speaker 3>And I was like, well, that's that's different from cancer.

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<v Speaker 3>Like I knew that we could acquire mutations as we

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<v Speaker 3>grow older, but I didn't know that that caused more

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<v Speaker 3>than cancer. And then I was just like dug around

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<v Speaker 3>and I found out, Okay, well it's not just like cancer.

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<v Speaker 3>It's not just heart disease. It's also like epilepsy, it's

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<v Speaker 3>like Alzheimer's, it's liver conditions. Like all sorts of mutations

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<v Speaker 3>can pile up in the body, and ultimately it's probably

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<v Speaker 3>the main driver of aging, or potentially a large driver

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<v Speaker 3>of agent. Just the idea that we rack up errors

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<v Speaker 3>in our DNA over time and they stay in ourselves

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<v Speaker 3>because it's easy to get a mutation, but it's hard

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<v Speaker 3>to like erase it. So I just I saw these

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<v Speaker 3>threads coming together and I was like Okay, Like I

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<v Speaker 3>got to pitch this as a book, and I wrote

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<v Speaker 3>it and I recorded the audiobook, and I feel kind

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<v Speaker 3>of like, I feel like I needed to spend time

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<v Speaker 3>with it and to really dig into the historical archives

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<v Speaker 3>and find how this idea has just like been like

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<v Speaker 3>over a century in the making, and why we're we're

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<v Speaker 3>going to be talking about it so much more in

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<v Speaker 3>the future.

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<v Speaker 1>Well, and also just why not many people are talking

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<v Speaker 1>about it. I mean, even as you're introducing this concept,

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<v Speaker 1>and you know, my bias is that I now work

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<v Speaker 1>as a psychologist in a cancer center in addition to

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<v Speaker 1>doing you know, the public science communication that I continue

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<v Speaker 1>to do, I can't help but think, Okay, what you

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<v Speaker 1>were describing, Like, gosh, I don't even phrase this question

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<v Speaker 1>with regards to other disease states.

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<v Speaker 2>How now, how do we define cancer?

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<v Speaker 1>Right?

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<v Speaker 3>Yeah? Like, yeah, Well, I mean that's the thing. It's

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<v Speaker 3>like a lot of the scientists when they talk about

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<v Speaker 3>mutant cells, they have to kind of preface it by saying, Okay,

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<v Speaker 3>these are like these.

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<v Speaker 2>Are non.

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<v Speaker 3>Non malignant, but like non cancer cells, but there are

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<v Speaker 3>mutant cells in the body. And it's interesting because you know,

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<v Speaker 3>you talk about cancer patients and you know psychology and

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<v Speaker 3>there you're talking about. You know, obviously with cancer there's

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<v Speaker 3>mutant cells that drive like that, like growth, and also

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<v Speaker 3>oftentimes the resistance to the chemotherapy and all the treatments

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<v Speaker 3>and blood vessels and yeah, yeah, there are a lot

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<v Speaker 3>of things they do are like rewiring themselves essentially. But

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<v Speaker 3>then on top of that, it's interesting because then you're

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<v Speaker 3>also hving psychology in the brain and you know, there

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<v Speaker 3>is that sense of DNA change. We know that happens

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<v Speaker 3>in our bodies that causes cancer, but like you're saying,

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<v Speaker 3>like a lot of people haven't yet really fully understood

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<v Speaker 3>that even the healthy quote unquote healthy cells in our bodies,

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<v Speaker 3>in our brains, for example, we're picking up trillions of

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<v Speaker 3>mutations every day. Like by the time a person is

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<v Speaker 3>one hundred years old, they've looked at centenarians and they've

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<v Speaker 3>taken cells from their blood and they've found that, you know,

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<v Speaker 3>there's around three thousand mutations in a given cell that

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<v Speaker 3>aren't all in the other parts of the body. So

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<v Speaker 3>you know, we're just kind of every day our cells

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<v Speaker 3>through wear and tear break, their DNA breaks, and like

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<v Speaker 3>we have DNA repair enzymes, but they don't always do

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<v Speaker 3>a perfect job. I like to say they're human too, right,

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<v Speaker 3>So if a mistake's made in the patching up, it

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<v Speaker 3>just carries to all the daughter cells. So see, I

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<v Speaker 3>do think that this is something important for people to understand,

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<v Speaker 3>not just on a metaphysical like you know, meaning of

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<v Speaker 3>the universe thing where you and I are having this

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<v Speaker 3>conversation and our brain cells are mutating even as we're talking,

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<v Speaker 3>but also to understand like what it does mean for

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<v Speaker 3>cancer treatment, what it does mean for the diagnosis of

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<v Speaker 3>diseases like heart disease, and our risk factors for these things.

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<v Speaker 3>So I'm kind of on a mission for people to

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<v Speaker 3>get the idea that our biology is just like much

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<v Speaker 3>more dynamic than they might have traditionally thought.

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<v Speaker 1>Yeah, and so I feel like there's so many different

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<v Speaker 1>ways to approach this, you know. I think, just as

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<v Speaker 1>questions pop into my head, I'm going to approach it

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<v Speaker 1>in the most nonlinear way possible and see if anyone

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<v Speaker 1>can follow. But one of the questions that comes up

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<v Speaker 1>right at the top is maybe we can talk.

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<v Speaker 2>A little bit about like what is a mutation?

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<v Speaker 1>What happens in our body when our genetic material does mutate,

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<v Speaker 1>and like, what are some of the checks and balances,

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<v Speaker 1>Because obviously you mentioned before like when there are times

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<v Speaker 1>where the error correction does doesn't work, or where the

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<v Speaker 1>like the load is too high, it may be passed on.

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<v Speaker 1>But there are plenty of times where you know, mutations

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<v Speaker 1>are happening all the time, and our cells are really

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<v Speaker 1>good at correcting that, right.

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<v Speaker 3>Yeah, absolutely, yeah, Well they're good at correcting certain like

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<v Speaker 3>so mutations kind of I mean, if a scientist might

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<v Speaker 3>consider a distinction between DNA damage and mutation, I don't

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<v Speaker 3>because I think that ultimately the lay people kind of

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<v Speaker 3>understanding them is the same thing. So it's a scientists mind.

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<v Speaker 3>A mutation is usually when like there are let's just

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<v Speaker 3>back up for a second. Our DNA in each of

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<v Speaker 3>our cells is comprised of these essentially letters, like scientists

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<v Speaker 3>will call them nucleotides, but they're actg for all intents

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<v Speaker 3>and purposes here and there's three billion If you line

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<v Speaker 3>up all the DNA in a given cell of yours,

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<v Speaker 3>there be like three billion of the string of like

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<v Speaker 3>three billion letters if you lined it all up together.

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<v Speaker 3>And so imagine having to copy that every time you

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<v Speaker 3>make a new right, they copy the DNA into the

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<v Speaker 3>new cell. If I gave you a book with three

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<v Speaker 3>billion letters and I was like, Kara, like write this

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<v Speaker 3>all down with a pen, I mean, I trust in

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<v Speaker 3>you very deeply, but I also think you like me,

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<v Speaker 3>would probably accidentally, like if it was like attcg like

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<v Speaker 3>maybe you'd say att, I don't know GCCC, I don't know,

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<v Speaker 3>like you know, like there's.

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<v Speaker 1>Yeah, like i'd switch some or some would get left out,

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<v Speaker 1>or I might add a line somewhere on accident, and.

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<v Speaker 3>I shouldn't put it on you. Let's talk about it.

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<v Speaker 3>If I were to do this, I would make right

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<v Speaker 3>so so even in just the copy and like, oh,

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<v Speaker 3>we have so much cell turnover. So a mutation in

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<v Speaker 3>this sense would be like if we did make if you,

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<v Speaker 3>you are or me one of us made, or you

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<v Speaker 3>or I made like an error in the copying, that

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<v Speaker 3>would be considered a mutation. Because when the when the

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<v Speaker 3>the next cell would like go on to like read

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<v Speaker 3>that instruction booklet right of DNA to make the proteins

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<v Speaker 3>that needs to process I don't know sugar or like

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<v Speaker 3>I don't like run some kind of oration in the cell.

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<v Speaker 3>It would it would kind of go to that gene

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<v Speaker 3>and all of a sudden be like wait a second,

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<v Speaker 3>like this gene this isn't working because there's an error.

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<v Speaker 3>So that's when you get in trouble with mutations that

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<v Speaker 3>they can happen in parts of the DNA that like

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<v Speaker 3>don't have an effect, right or that cell might die,

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<v Speaker 3>in which case, no biggie, it might happen somewhere where

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<v Speaker 3>it does matter.

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<v Speaker 1>And so oftentimes when it does happen, because like it's

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<v Speaker 1>gonna happen, because that's just the nature of being alive,

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<v Speaker 1>there are like mechanisms in place to like find it

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<v Speaker 1>and either like you mentioned, kill that cell so that

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<v Speaker 1>it doesn't wreak havoc or do some type of correction

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<v Speaker 1>so that there's not a big downstream effect.

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<v Speaker 3>But there are like error correction mechanisms in the cell.

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<v Speaker 3>But it kind of works better where there's like a

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<v Speaker 3>big mistake. The cell can spots when it's something where

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<v Speaker 3>like there's a single letter change, and again that's kind

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<v Speaker 3>of where we're talking about DNA breaks, which the cell

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<v Speaker 3>is like easier, it's easier for them to recognize. But

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<v Speaker 3>if it's just like one letter's wrong, I mean again,

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<v Speaker 3>going back to the book. It's like, imagine if I

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<v Speaker 3>like forgot, Like if there's like a paragraph and I

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<v Speaker 3>pressed return in the middle of the paragraph, your eyes

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<v Speaker 3>could like spot that. Yeah, But if I changed like

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<v Speaker 3>H to C in a word like hat to cat, like,

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<v Speaker 3>you might be like less able to catch that mistake.

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<v Speaker 3>And yet a single letter changed like that can have

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<v Speaker 3>huge effects. Like there are many, many, many inherited disorders,

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<v Speaker 3>for example, where somebody's life is just truncated because of

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<v Speaker 3>a single letter that's wrong, and it's uh. One of

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<v Speaker 3>the injustices I think of our biology is that, like

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<v Speaker 3>it's so fragile in some ways.

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<v Speaker 1>Yeah, And so there's these examples like you mentioned, where

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<v Speaker 1>there are mistakes, mutations, damage to DNA that get passed

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<v Speaker 1>down generation to generation, especially in situations where maybe the

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<v Speaker 1>symptoms don't come into later in life after somebody's already

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<v Speaker 1>had kids, or situations where you only have like a

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<v Speaker 1>one in four chance of getting that they tend to

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<v Speaker 1>continue throughout the population.

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<v Speaker 2>But there are other.

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<v Speaker 1>Examples, as you mentioned before, where your own DNA is

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<v Speaker 1>damaged throughout the life span due to mutagens, carcinogens, things

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<v Speaker 1>like that, and then disease states can occur within a

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<v Speaker 1>single life span as well.

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<v Speaker 3>Right, Yeah, So part of my mission is to kind

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<v Speaker 3>of reframe even how we hear the words genetic disease.

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<v Speaker 3>Like I meant, you and me, if we had this

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<v Speaker 3>conversation ten years ago and we said genetic disease, we

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<v Speaker 3>would automatically think inherited disease inherent Oh I still do.

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<v Speaker 1>I definitely think heretically when you say, yeah, genetic disease.

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<v Speaker 3>Okay, So you know, we think about things like cystic bibrosis,

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<v Speaker 3>where severely tragic disease where there's like you know, like

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<v Speaker 3>a mutation that will disturb how cells kind of their

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<v Speaker 3>channels work to move stuff around and what happens. Ultimately

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<v Speaker 3>it affects different organs, but the lungs are primarily affected,

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<v Speaker 3>where you are just more prone to these infections that

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<v Speaker 3>you and I would not need to worry about assuming

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<v Speaker 3>you don't have CF. Like a little asterix there, which

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<v Speaker 3>is like there's these new drugs that have come that

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<v Speaker 3>have completely changed the disease so that ninety percent of

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<v Speaker 3>people with CF now have this great solution where essentially

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<v Speaker 3>they can correct the gene function. But let's think about

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<v Speaker 3>you know, that's an exception, A lot of these diseases

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<v Speaker 3>don't yet have these easy to take medications. I'm getting

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<v Speaker 3>a little sidetracked, but just to say that, like CF

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<v Speaker 3>sickle cell does these muscular dystrophee. People probably heard some

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<v Speaker 3>of these name Tay Sachs, PKU, like all these different

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<v Speaker 3>inherited disorders where maybe like there's a metabolic error, they're

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<v Speaker 3>they're generally things that have been passed generations, right. They

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<v Speaker 3>c F has traced back thousands of years to Assistic

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<v Speaker 3>fibrosis is traced back thousands of years to Europe. Some

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<v Speaker 3>of the some of the mutations right for.

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<v Speaker 1>Then you mentioned Tay Sachs. Like anybody who has done

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<v Speaker 1>a DNA test and knows that they are predominantly Ashkenazi

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<v Speaker 1>inherited in their heritage and is partnering with somebody who's

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<v Speaker 1>ashkan Nazi, they'll often do a lot of genetic counseling

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<v Speaker 1>before even deciding to have children, right, because there are

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<v Speaker 1>genetic diseases that are so prevalent within that population.

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<v Speaker 3>And these are just you know, like you say, like that,

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<v Speaker 3>you can look in the family tree and you can

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<v Speaker 3>just find a bunch of people affected by these because

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<v Speaker 3>they are passed down. Now, now, genetic disease is not

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<v Speaker 3>always inherited, like like you alluded to. In my book,

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<v Speaker 3>I talk about how it could happen at any point,

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<v Speaker 3>like anytime after for example, like the sperm and the

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<v Speaker 3>egg that may do came together, and there's a lot

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<v Speaker 3>of cell division that happens at the embryo development stage.

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<v Speaker 3>I'm kind of laughing as I'm saying this because I

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<v Speaker 3>have a son, and when I was pregnant with him,

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<v Speaker 3>I kept, you know, all women who are pregnant are

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<v Speaker 3>just get so thirsty. We're like drinking water all the time.

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<v Speaker 3>And it's partly because like there's a lot of cell

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<v Speaker 3>division that's happening, and you it's like very energetically intensive,

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<v Speaker 3>it's very rapid. And I say this because, like imagine

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<v Speaker 3>I asked you to I gave as I care here,

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<v Speaker 3>like take this book and copy it like letter for letter,

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<v Speaker 3>and you have let's say it's a two hundred page book,

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<v Speaker 3>and I can give you six months. Okay, that's like

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<v Speaker 3>basically the cell turnover of an adult. It's approximate. But

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<v Speaker 3>then if I said I'm going to give you two

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<v Speaker 3>days to do it, that's kind of what's going on.

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<v Speaker 3>When it's early embryonic development, things just happen faster. The

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<v Speaker 3>copying happens faster, and so I think, you know, there's

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<v Speaker 3>a lot of errors that can happen, and they do,

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<v Speaker 3>and so genetic disease can happen when embryonic cells acquire

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<v Speaker 3>a mistake because the DNA was like there was a

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<v Speaker 3>mistake in the in the replication, or it can happen.

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<v Speaker 3>You know here what you and I are sitting, we

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<v Speaker 3>might have a mutation that crops up in us that

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<v Speaker 3>is pathogenic, could cause cancer, or it could cause could

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<v Speaker 3>cause good things. I mean, my book also talks about

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<v Speaker 3>how we rely on mutation to survive, and like as

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<v Speaker 3>we get older, you know, one or to two out

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<v Speaker 3>of every I always get this number. I want to

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<v Speaker 3>get this right. It's like one out of every five

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<v Speaker 3>or one out everyvery ten people seventy years or older

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<v Speaker 3>has a threshold level of these mutant blood cells that

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<v Speaker 3>have kind of just happened to accumulate over their lifespan

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<v Speaker 3>that can double their risk of heart disease or double

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<v Speaker 3>their risk of str So it's common. It's common, Like

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<v Speaker 3>men don't know it, but like by the time men

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<v Speaker 3>are in their seventies, like forty to fifty percent of

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<v Speaker 3>them have a substantial number of their blood cells missing

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<v Speaker 3>the Y chromosome or cells in their blood I should say,

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<v Speaker 3>because red blood cells don't have a nucleus, but like

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<v Speaker 3>other cell like white blood cells, like they're just they

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<v Speaker 3>just tend to lose their Y chromosome as they get older.

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<v Speaker 1>It's already so small, it's not a lot there to

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<v Speaker 1>lose compared to the X.

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<v Speaker 2>That's a sure.

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<v Speaker 3>Yeah, I'm not gonna cry too many tears about this,

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<v Speaker 3>but and it's interesting because people are like, so what well,

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<v Speaker 3>loss of why? And also, by the way, there is

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<v Speaker 3>loss of X two because women have two X chromesales

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<v Speaker 3>and they do tend to lose an X chromosome as

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<v Speaker 3>we get older, but it's less because we have like

393
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<v Speaker 3>a backup. It's less fucky, less intensive. But we just

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<v Speaker 3>don't know as much because of course they haven't studied

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<v Speaker 3>women as much as they've studied men.

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<v Speaker 2>Of course, shocker.

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<v Speaker 3>But the loss of why, which has been better studied,

398
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<v Speaker 3>is linked to like a whole host like risk of

399
00:22:11.759 --> 00:22:14.720
<v Speaker 3>Alzheimer's is up, risk of cancer is up. But the

400
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<v Speaker 3>thing is, it's not clear whether it's causal. It might

401
00:22:18.519 --> 00:22:21.440
<v Speaker 3>there might be something upstream that's causing both loss of

402
00:22:21.480 --> 00:22:24.759
<v Speaker 3>why and the risk of these other things. So, you

403
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<v Speaker 3>know a lot of stuff happens as we age, you

404
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<v Speaker 3>know with our DNA.

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<v Speaker 1>Yeah, yeah, and our risk factors for most diseases increase

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<v Speaker 1>as we age. But probably there's well, I mean this

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<v Speaker 1>is just absolute conjecture, but probably the diseases that we

408
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<v Speaker 1>have best linked to DNA damage and mutagens have a

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<v Speaker 1>higher kind of increase in risk the older that we get.

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<v Speaker 3>Well, the thing is is that they've actually started linking

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<v Speaker 3>these increased DNA change, that the increase in mutation to

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<v Speaker 3>the diseases of aging. Right, So it's not just that

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<v Speaker 3>you have a higher risk of mutant cells linked to

414
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<v Speaker 3>a higher risk of heart disease. They've now shown with

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00:23:10.160 --> 00:23:12.680
<v Speaker 3>like mouse studies and cell studies in the lab, that

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00:23:12.759 --> 00:23:17.519
<v Speaker 3>those mutant cells are like able to induce more inflammation

417
00:23:18.079 --> 00:23:21.400
<v Speaker 3>or respond with a more inflammatory response, probably because of

418
00:23:21.440 --> 00:23:24.960
<v Speaker 3>the mutation that they've acquired. It's often in certain genes

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<v Speaker 3>like tettoo, and so heart disease is a disease of inflammation,

420
00:23:30.400 --> 00:23:34.079
<v Speaker 3>like alphosclerosis. That's one like blood cells I SAR bloodvessels.

421
00:23:34.960 --> 00:23:38.359
<v Speaker 3>It's like an inflammatory disease. So the idea is like

422
00:23:38.559 --> 00:23:42.640
<v Speaker 3>the DNA change has gone haywire, kind of boost the

423
00:23:42.680 --> 00:23:47.319
<v Speaker 3>inflammation in your body that then precipitates these diseases of aging.

424
00:23:47.640 --> 00:23:51.240
<v Speaker 3>It's kind of right, it's somewhat speculative. I know, you're

425
00:23:50.960 --> 00:23:55.799
<v Speaker 3>you're You've come from a data perspective, a skeptic perspective,

426
00:23:55.839 --> 00:23:58.880
<v Speaker 3>So I'm careful here and saying none of this is definitive.

427
00:23:59.279 --> 00:24:04.359
<v Speaker 3>But the evidence increasingly looks like it's it is. There

428
00:24:04.400 --> 00:24:05.240
<v Speaker 3>are connections here.

429
00:24:07.319 --> 00:24:09.920
<v Speaker 1>I mean, it does kind of make sense, even though

430
00:24:09.960 --> 00:24:13.920
<v Speaker 1>it is a pretty intense, I guess paradigm shift for

431
00:24:14.039 --> 00:24:18.559
<v Speaker 1>a lot of people to move into. But even and

432
00:24:18.599 --> 00:24:21.279
<v Speaker 1>maybe it's because I don't have very specialized knowledge in

433
00:24:21.319 --> 00:24:23.079
<v Speaker 1>these areas. I could see people who are like the

434
00:24:23.160 --> 00:24:28.200
<v Speaker 1>most specialized being the most resistant sometimes to changing their

435
00:24:28.319 --> 00:24:33.400
<v Speaker 1>gestalt thinking. But you know, anybody who has been studying aging,

436
00:24:33.599 --> 00:24:37.720
<v Speaker 1>anybody who has been studying the relationship between these different

437
00:24:37.759 --> 00:24:44.160
<v Speaker 1>diseases of aging, has probably noticed mutagens or mutations damage

438
00:24:44.200 --> 00:24:48.559
<v Speaker 1>to DNA across the spectrum in the lab. But it's

439
00:24:48.559 --> 00:24:50.359
<v Speaker 1>probably been kind of hard to put their finger on

440
00:24:50.440 --> 00:24:53.880
<v Speaker 1>the relationship, right is it that the older we get,

441
00:24:54.200 --> 00:24:56.839
<v Speaker 1>the more our DNA damages and that causes these diseases,

442
00:24:56.920 --> 00:25:00.720
<v Speaker 1>or do these diseases cause downstream damage to or DNA.

443
00:25:00.960 --> 00:25:01.759
<v Speaker 2>It's probably hard to know.

444
00:25:01.839 --> 00:25:04.160
<v Speaker 3>I mean, there's definitely there's definitely that question. But because

445
00:25:04.160 --> 00:25:05.960
<v Speaker 3>they can do some of this stuff in like mouse

446
00:25:06.240 --> 00:25:10.559
<v Speaker 3>models now, and they can they can do functional essays,

447
00:25:10.599 --> 00:25:13.759
<v Speaker 3>they can do tests that kind of show how to

448
00:25:13.799 --> 00:25:17.880
<v Speaker 3>connect the dots. And also because there are people that

449
00:25:17.960 --> 00:25:20.200
<v Speaker 3>are at the extremes of this. So, like I write

450
00:25:20.200 --> 00:25:23.400
<v Speaker 3>in the book about Werner's syndrome, and so I mentioned

451
00:25:23.440 --> 00:25:27.920
<v Speaker 3>in a particular case where I spoke to the son

452
00:25:27.960 --> 00:25:35.440
<v Speaker 3>of Michael Prescott, and Michael Prescott he he's a fantastic individual.

453
00:25:35.559 --> 00:25:37.400
<v Speaker 3>I never got a chance to speak with them directly,

454
00:25:37.440 --> 00:25:40.880
<v Speaker 3>but his son told me how. Like, so, Michael Prescott

455
00:25:40.920 --> 00:25:44.720
<v Speaker 3>got his first heart attack in his thirties. I think

456
00:25:44.720 --> 00:25:46.519
<v Speaker 3>it was on his son's like fourth birthday, maybe I

457
00:25:46.559 --> 00:25:49.599
<v Speaker 3>can't recall, on one of his thirties, Yeah, this thirties,

458
00:25:49.599 --> 00:25:52.039
<v Speaker 3>and then he had like four other heart attacks in

459
00:25:52.039 --> 00:25:54.519
<v Speaker 3>the same year, and then like all these health things

460
00:25:54.519 --> 00:25:58.039
<v Speaker 3>started start getting cataracts, like his hair went gray. His

461
00:25:58.079 --> 00:26:00.160
<v Speaker 3>son has said that by the time he was in

462
00:26:00.160 --> 00:26:03.960
<v Speaker 3>his early forties, taking him to like baseball games, everybody

463
00:26:03.960 --> 00:26:07.319
<v Speaker 3>assumed that Michael was his son's grandfather. He looked like

464
00:26:07.359 --> 00:26:11.160
<v Speaker 3>in his sixties and his and this doctor think, we're

465
00:26:11.160 --> 00:26:13.480
<v Speaker 3>at Vanderbilt, like not like a great and it was

466
00:26:13.519 --> 00:26:17.319
<v Speaker 3>a great institution, not something not like a small small

467
00:26:17.319 --> 00:26:20.680
<v Speaker 3>town like rural. Yeah, rural. You know, nothing against any

468
00:26:20.720 --> 00:26:24.640
<v Speaker 3>small town hospital. But they couldn't figure it out. And

469
00:26:24.680 --> 00:26:27.400
<v Speaker 3>so he would sit in this recliner in like the

470
00:26:27.440 --> 00:26:30.599
<v Speaker 3>evenings in the living room, just like reading research papers.

471
00:26:30.640 --> 00:26:32.359
<v Speaker 3>I'm sure it'd be different now, like you'd probably ask

472
00:26:32.480 --> 00:26:35.720
<v Speaker 3>chat GPT and have an answer in two minutes. But

473
00:26:35.799 --> 00:26:38.000
<v Speaker 3>he had to look through the research literature at the time.

474
00:26:38.720 --> 00:26:41.279
<v Speaker 3>And he ultimately went to his doctors and he said,

475
00:26:41.279 --> 00:26:43.519
<v Speaker 3>I think I have this thing, and they tested him

476
00:26:43.559 --> 00:26:46.359
<v Speaker 3>and they're like, you're so right, like this explains everything.

477
00:26:46.880 --> 00:26:50.160
<v Speaker 3>And what he had was Werner syndrome, where essentially you

478
00:26:51.200 --> 00:26:55.880
<v Speaker 3>age super rapidly. Unfortunately, he died in his mid fifties,

479
00:26:56.119 --> 00:27:01.720
<v Speaker 3>which is exactly what happens in most cases, and what

480
00:27:01.759 --> 00:27:03.720
<v Speaker 3>happens in Warner syndrome is you have just like a

481
00:27:03.799 --> 00:27:08.480
<v Speaker 3>rapid accumulation of mutation. So so there's all this evidence

482
00:27:09.000 --> 00:27:14.319
<v Speaker 3>piling up that mutation and and aging as length. I

483
00:27:14.359 --> 00:27:16.599
<v Speaker 3>also talk in the book about like zoo animals that

484
00:27:16.640 --> 00:27:19.640
<v Speaker 3>have been like examined and like they looked at giraffes,

485
00:27:19.680 --> 00:27:23.519
<v Speaker 3>everything from giraffes to zebras, and then also like mouse

486
00:27:23.640 --> 00:27:27.119
<v Speaker 3>and cat and dog, you like human tissue, and they

487
00:27:27.160 --> 00:27:29.720
<v Speaker 3>found that, like when somebody, when animals live to their

488
00:27:29.920 --> 00:27:33.240
<v Speaker 3>life like maximum life span, it seems that like no

489
00:27:33.319 --> 00:27:35.759
<v Speaker 3>matter how shorter long they live, they end up with

490
00:27:35.799 --> 00:27:38.680
<v Speaker 3>like three thousand mutations in their in their gut cells.

491
00:27:39.599 --> 00:27:43.599
<v Speaker 3>So so the idea is that like the animals like

492
00:27:43.599 --> 00:27:47.359
<v Speaker 3>the mouse that lives shorter just mutate faster, and the

493
00:27:47.359 --> 00:27:54.079
<v Speaker 3>ones that mutate slower live longer. So the maths math,

494
00:27:54.279 --> 00:27:56.720
<v Speaker 3>I think it's as the young people are the math

495
00:27:59.279 --> 00:28:01.119
<v Speaker 3>Did I use that right? I think I think so.

496
00:28:01.400 --> 00:28:03.319
<v Speaker 2>I don't don't ask me. I'm not a young person.

497
00:28:04.079 --> 00:28:07.519
<v Speaker 2>It sounds good to me, but it does.

498
00:28:07.480 --> 00:28:10.160
<v Speaker 1>Kind of beg an interesting question that I've always wondered.

499
00:28:10.160 --> 00:28:11.920
<v Speaker 1>And I don't know if there is an answer to

500
00:28:11.960 --> 00:28:14.559
<v Speaker 1>this question. But you know, let's say we're talking about

501
00:28:14.559 --> 00:28:17.079
<v Speaker 1>something as I don't want to say straightforward it as cancer.

502
00:28:17.119 --> 00:28:20.480
<v Speaker 1>Cancer is in no way straightforward. But where the relationship

503
00:28:20.599 --> 00:28:27.680
<v Speaker 1>between mutation and DNA damage and you know, cancer diagnostics

504
00:28:27.680 --> 00:28:28.960
<v Speaker 1>and symptomatology is.

505
00:28:30.440 --> 00:28:32.720
<v Speaker 2>I guess fleshed out pretty well.

506
00:28:33.680 --> 00:28:40.559
<v Speaker 1>I've always wondered is it a threshold response? Like is

507
00:28:40.599 --> 00:28:42.680
<v Speaker 1>it that because we know that there are people who

508
00:28:42.799 --> 00:28:46.519
<v Speaker 1>have mutations to their DNA before they're ever born, like

509
00:28:46.599 --> 00:28:50.880
<v Speaker 1>they have disrupted oncogenes or tumor suppressor genes that will

510
00:28:51.039 --> 00:28:53.400
<v Speaker 1>cause it to be easier for them to get cancers.

511
00:28:53.400 --> 00:28:55.480
<v Speaker 1>Why there's such a thing as childhood cancer. And then

512
00:28:55.480 --> 00:28:57.200
<v Speaker 1>we know that there are people who are exposed to

513
00:28:58.240 --> 00:29:03.440
<v Speaker 1>intense you know, mutagens like astronauts or people who smoke

514
00:29:03.480 --> 00:29:05.880
<v Speaker 1>cigarettes their entire life, or you know, people who are

515
00:29:05.880 --> 00:29:10.160
<v Speaker 1>exposed to environmental toxins who are just like experiencing large

516
00:29:10.160 --> 00:29:12.759
<v Speaker 1>scale damage to their DNA. But of course we've all

517
00:29:12.799 --> 00:29:14.599
<v Speaker 1>heard the story of the woman who smoked her entire

518
00:29:14.640 --> 00:29:16.960
<v Speaker 1>life and never got cancer, and we've all heard the

519
00:29:17.000 --> 00:29:20.559
<v Speaker 1>stories of people who were just like so unlucky. Is

520
00:29:20.599 --> 00:29:24.279
<v Speaker 1>it about the load? Is it about all of these

521
00:29:24.319 --> 00:29:26.839
<v Speaker 1>I mean, like algorithm for.

522
00:29:26.920 --> 00:29:30.599
<v Speaker 3>The Rolling Stones? Why is my why is my mind blinking?

523
00:29:30.640 --> 00:29:34.160
<v Speaker 3>I read his autobiography and it was amazing. This is

524
00:29:34.200 --> 00:29:35.119
<v Speaker 3>embarrassing too.

525
00:29:36.000 --> 00:29:41.039
<v Speaker 1>Oh I have to google that, so don't worry about that.

526
00:29:41.160 --> 00:29:45.640
<v Speaker 1>Oh my Jagger, duh Jagger Keith Richards, Jagger, Keith Richards

527
00:29:45.720 --> 00:29:47.519
<v Speaker 1>amazing autobiography.

528
00:29:47.640 --> 00:29:52.160
<v Speaker 3>Like, wow, what a book. Uh, people don't want to

529
00:29:52.160 --> 00:29:55.200
<v Speaker 3>read my book, they should read that book too. So

530
00:29:56.039 --> 00:29:58.559
<v Speaker 3>I mean, how is he Like he's like the epitome

531
00:29:58.640 --> 00:30:00.519
<v Speaker 3>right of like living a hard life, and he seems

532
00:30:00.559 --> 00:30:04.559
<v Speaker 3>to be doing great right right, and so you know,

533
00:30:04.640 --> 00:30:06.720
<v Speaker 3>drugs and rock and roll did pretty fine by him.

534
00:30:06.799 --> 00:30:11.599
<v Speaker 3>So yeah, I mean it's funny because I'm also working

535
00:30:11.599 --> 00:30:13.720
<v Speaker 3>on a piece right now for The Atlantic about how

536
00:30:14.480 --> 00:30:17.839
<v Speaker 3>people with like mutations that should be fatal are still alive.

537
00:30:18.160 --> 00:30:20.920
<v Speaker 3>Like there is some question that hangs about this. It's

538
00:30:20.920 --> 00:30:22.680
<v Speaker 3>interesting they mentioned astronauts, by the way, because in my

539
00:30:22.680 --> 00:30:26.200
<v Speaker 3>book I talk about how astronauts actually do have more

540
00:30:26.279 --> 00:30:29.200
<v Speaker 3>mutant blood cells than the average person or the average

541
00:30:29.200 --> 00:30:30.160
<v Speaker 3>person of their age.

542
00:30:30.640 --> 00:30:33.279
<v Speaker 1>So yeah, they're like not shielded up there, right, They're

543
00:30:33.319 --> 00:30:35.240
<v Speaker 1>they're getting hit. I mean, even flying in a plane

544
00:30:35.319 --> 00:30:39.680
<v Speaker 1>is not great, and they're like extra flying elon musk.

545
00:30:39.720 --> 00:30:44.119
<v Speaker 3>Maybe that would be a wait again, I'm thinking about

546
00:30:44.160 --> 00:30:44.799
<v Speaker 3>living on board.

547
00:30:45.799 --> 00:30:48.000
<v Speaker 2>No, let's just get him to go to make that

548
00:30:48.079 --> 00:30:50.519
<v Speaker 2>can be the guy. I'll be fine.

549
00:30:50.759 --> 00:30:51.599
<v Speaker 3>Totally that too.

550
00:30:52.200 --> 00:30:54.759
<v Speaker 2>But yeah, I have always wondered, is it is there

551
00:30:54.759 --> 00:30:57.039
<v Speaker 2>a threshold? Is there an unwritten threshold?

552
00:30:57.079 --> 00:30:59.880
<v Speaker 1>And maybe it's different for different people where you know,

553
00:31:00.279 --> 00:31:04.319
<v Speaker 1>they cross into the rubicon and all of a sudden, Okay,

554
00:31:04.359 --> 00:31:07.000
<v Speaker 1>now it's Alzheimer's, now it's cancer, and now it's these

555
00:31:07.039 --> 00:31:08.480
<v Speaker 1>other things, but up until then.

556
00:31:08.960 --> 00:31:12.000
<v Speaker 3>It's not. It's a really it's a really profound question.

557
00:31:13.440 --> 00:31:15.640
<v Speaker 3>It's like a very deep question. So I think that

558
00:31:16.400 --> 00:31:20.359
<v Speaker 3>it's like pause and appreciate how how important it is.

559
00:31:20.359 --> 00:31:24.039
<v Speaker 3>Because even people, for example that you know, I said,

560
00:31:24.319 --> 00:31:25.920
<v Speaker 3>one to two out of every ten people in their

561
00:31:25.920 --> 00:31:29.000
<v Speaker 3>seventies have these specific kind of like mute cells in

562
00:31:29.039 --> 00:31:31.920
<v Speaker 3>their blood that are linked to heart disease and linked

563
00:31:32.079 --> 00:31:35.440
<v Speaker 3>to cancer. But not everybody is getting heart disease and

564
00:31:35.480 --> 00:31:38.720
<v Speaker 3>cancer that has these mute blood cells. I think maybe

565
00:31:38.880 --> 00:31:41.839
<v Speaker 3>scientists might suggest that, like there is a certain amount

566
00:31:41.880 --> 00:31:46.279
<v Speaker 3>of vigilance in like fromadian system about like clearing out

567
00:31:46.359 --> 00:31:49.000
<v Speaker 3>cells that seem to be bad actors. I don't know

568
00:31:49.000 --> 00:31:51.200
<v Speaker 3>if that's the reason why. I mean, some of it

569
00:31:51.240 --> 00:31:54.839
<v Speaker 3>just could be bad luck. Good luck luck is kind

570
00:31:54.839 --> 00:31:58.200
<v Speaker 3>of a tricky term in biology, right, because there's always

571
00:31:58.200 --> 00:32:02.519
<v Speaker 3>something determining it, Like there's mechanism, but it just might

572
00:32:02.559 --> 00:32:06.519
<v Speaker 3>be so small scale that we'll never really find out.

573
00:32:08.839 --> 00:32:10.720
<v Speaker 3>But you know, like on the larger scale of things.

574
00:32:10.759 --> 00:32:13.680
<v Speaker 3>I know, I personally, after having written this book, have

575
00:32:13.839 --> 00:32:18.000
<v Speaker 3>changed some behaviors just because it's it's kind of like

576
00:32:18.039 --> 00:32:21.440
<v Speaker 3>at the end of the day, you can you might

577
00:32:21.480 --> 00:32:23.839
<v Speaker 3>not be able to determine your health, but you can

578
00:32:24.480 --> 00:32:28.319
<v Speaker 3>stack the odds more in your favor. So sleep is

579
00:32:28.599 --> 00:32:32.640
<v Speaker 3>extremely It's like it seems to be very well established

580
00:32:32.640 --> 00:32:37.480
<v Speaker 3>to like lower the prevalence or risk of mutant cells

581
00:32:37.480 --> 00:32:39.599
<v Speaker 3>in your blood mutes. And of course I keep talking

582
00:32:39.599 --> 00:32:42.119
<v Speaker 3>about the blood because it's easy to sample, like it's

583
00:32:42.200 --> 00:32:42.799
<v Speaker 3>kind of hard.

584
00:32:42.839 --> 00:32:44.960
<v Speaker 2>Right, because that's what you're going to see in research studies.

585
00:32:45.119 --> 00:32:49.359
<v Speaker 3>Yeah, right, yeah, I mean I don't want someone coming

586
00:32:49.400 --> 00:32:51.519
<v Speaker 3>to take my brain cell, like, you know, I got

587
00:32:51.559 --> 00:32:53.960
<v Speaker 3>my right level check. They could took my arm and

588
00:32:54.000 --> 00:32:56.039
<v Speaker 3>took my blood, like I don't really want them to

589
00:32:56.079 --> 00:32:59.279
<v Speaker 3>take my brain cells. Who knows how many I have left,

590
00:32:59.319 --> 00:32:59.519
<v Speaker 3>you know.

591
00:33:00.279 --> 00:33:02.319
<v Speaker 1>So oh yeah, I was just talking to my neurologist

592
00:33:02.400 --> 00:33:04.440
<v Speaker 1>about that the other day, you know, like I take

593
00:33:05.079 --> 00:33:06.599
<v Speaker 1>prozac and it works really well for me. But I

594
00:33:06.640 --> 00:33:10.000
<v Speaker 1>also have this like weird neurological sleep disorder called IH,

595
00:33:10.119 --> 00:33:12.319
<v Speaker 1>and I actually have these crazy meds so that I

596
00:33:12.599 --> 00:33:14.920
<v Speaker 1>like am awake enough during the day. It's like similar

597
00:33:15.000 --> 00:33:17.759
<v Speaker 1>to type two narcolepsy. And I was talking about how

598
00:33:18.079 --> 00:33:20.079
<v Speaker 1>once these or rex and drug this is so.

599
00:33:20.200 --> 00:33:22.599
<v Speaker 2>Yeah about her here north arap But yeah, okay, so

600
00:33:22.599 --> 00:33:25.119
<v Speaker 2>anybody listening this may apply. If not, don't worry. Just

601
00:33:25.519 --> 00:33:26.640
<v Speaker 2>I'll be past this in a second.

602
00:33:26.680 --> 00:33:29.319
<v Speaker 1>But once these new ORX and drugs are on the market,

603
00:33:29.359 --> 00:33:32.319
<v Speaker 1>I'll be so curious to see how well I respond

604
00:33:32.319 --> 00:33:37.880
<v Speaker 1>to them, because ultimately it's anybody's guess. Why you know

605
00:33:37.960 --> 00:33:40.119
<v Speaker 1>I have IH? Is it that I don't make enough

606
00:33:40.200 --> 00:33:42.519
<v Speaker 1>or rex and is there something wrong with my gabba?

607
00:33:42.640 --> 00:33:45.039
<v Speaker 1>The only way to know is for somebody to do

608
00:33:45.119 --> 00:33:48.000
<v Speaker 1>like a spinal tap, And I'm like, not worth it.

609
00:33:48.400 --> 00:33:52.359
<v Speaker 3>I mean, I just nuture where you'd be, you'd be

610
00:33:52.400 --> 00:33:56.599
<v Speaker 3>able to get better diagnostics. Like I don't know exactly how,

611
00:33:56.720 --> 00:33:59.960
<v Speaker 3>but like I do think that as we get better

612
00:34:00.079 --> 00:34:02.720
<v Speaker 3>on like eavesdropping on cells, even with cancer, right, there's

613
00:34:02.759 --> 00:34:06.160
<v Speaker 3>like yeah, circulating tumor DNA that the people can just

614
00:34:06.200 --> 00:34:07.839
<v Speaker 3>get like pick up all.

615
00:34:07.680 --> 00:34:10.440
<v Speaker 1>My patients are doing that now. It's amazing how many

616
00:34:10.639 --> 00:34:13.519
<v Speaker 1>even since I started in this field to now how

617
00:34:13.519 --> 00:34:16.960
<v Speaker 1>many more patients are using these They're like these startup

618
00:34:17.000 --> 00:34:20.000
<v Speaker 1>companies where they can detect the tiniest amounts of DNA

619
00:34:20.079 --> 00:34:22.599
<v Speaker 1>and their blood and see if their tumor markers are

620
00:34:22.639 --> 00:34:25.000
<v Speaker 1>going up or down long before they see anything on scans.

621
00:34:25.079 --> 00:34:26.800
<v Speaker 3>And so yeah, for people that are listening that might

622
00:34:26.800 --> 00:34:29.960
<v Speaker 3>not know what's circulating, tumor DNA like to tumor cell

623
00:34:30.159 --> 00:34:33.599
<v Speaker 3>DNA is about it's like it's it's like not necessarily

624
00:34:33.800 --> 00:34:36.679
<v Speaker 3>not going for a biopsy into the tumor. You're just

625
00:34:36.719 --> 00:34:39.119
<v Speaker 3>picking up what they're spewing out into the blood when

626
00:34:39.159 --> 00:34:41.320
<v Speaker 3>they die, you know. So on cells die, they they

627
00:34:41.400 --> 00:34:45.119
<v Speaker 3>release their DNA and you can just eavesdrop. It's like

628
00:34:45.159 --> 00:34:48.639
<v Speaker 3>almost like looking gosh, I sound like I don't do this,

629
00:34:49.039 --> 00:34:50.360
<v Speaker 3>but like if you want to find out what's going

630
00:34:50.400 --> 00:34:52.000
<v Speaker 3>on at your neighbor's house, you can lose look through

631
00:34:52.000 --> 00:34:55.559
<v Speaker 3>their trash. They're just like spewing it out there, right.

632
00:34:55.519 --> 00:34:56.559
<v Speaker 2>That's a good way to put it.

633
00:34:57.039 --> 00:35:01.360
<v Speaker 1>Or like the environmental DNA research where people are like collecting,

634
00:35:01.440 --> 00:35:04.639
<v Speaker 1>you know, from an elephant footprint to see what ecologically

635
00:35:04.719 --> 00:35:06.199
<v Speaker 1>is living in there or like you.

636
00:35:06.119 --> 00:35:13.480
<v Speaker 3>Know, than like looking through your neighbor's trash. But yes, so,

637
00:35:13.920 --> 00:35:16.559
<v Speaker 3>but going back to what we were talking about, trying

638
00:35:16.599 --> 00:35:18.400
<v Speaker 3>to trace this back to we're talking about the brain.

639
00:35:18.880 --> 00:35:22.280
<v Speaker 3>Oh yeah, I do think that, Like, and the thing

640
00:35:22.320 --> 00:35:25.360
<v Speaker 3>about the brain is like oftentimes the things you're talking about,

641
00:35:25.360 --> 00:35:29.840
<v Speaker 3>like sleep regulation, these are like very small clusters of

642
00:35:29.880 --> 00:35:32.679
<v Speaker 3>neurons having this kind of like weight like stuff. Like

643
00:35:32.960 --> 00:35:37.559
<v Speaker 3>I'm so fascinated always with the there's a theory about

644
00:35:37.639 --> 00:35:39.480
<v Speaker 3>our weight is kind of we have a set point

645
00:35:39.519 --> 00:35:41.760
<v Speaker 3>in our brains that like tells our body like how

646
00:35:41.840 --> 00:35:46.000
<v Speaker 3>much to weigh. And we're talking about like clusters of cells,

647
00:35:46.039 --> 00:35:50.039
<v Speaker 3>like we're not talking about like giant golf ball sizes

648
00:35:50.079 --> 00:35:54.960
<v Speaker 3>of tissue. So it's hard. The reason I'm saying that

649
00:35:54.960 --> 00:35:57.840
<v Speaker 3>it's like it's much harder to sample. I don't want

650
00:35:57.840 --> 00:35:59.920
<v Speaker 3>someone going and biop seeing these cells because they can

651
00:36:00.280 --> 00:36:03.840
<v Speaker 3>that's too small a region. But maybe we could figure

652
00:36:03.880 --> 00:36:06.280
<v Speaker 3>out a way to eavesdrop on what mutations are happening there,

653
00:36:06.480 --> 00:36:11.719
<v Speaker 3>or do some imaging that's like informed by some mouse

654
00:36:11.760 --> 00:36:13.840
<v Speaker 3>studies that show when you have mutations there's a certain

655
00:36:13.880 --> 00:36:16.840
<v Speaker 3>structural distinction, like who knows.

656
00:36:16.840 --> 00:36:21.239
<v Speaker 1>And precision medicine is like such an obvious outcome of

657
00:36:21.280 --> 00:36:24.920
<v Speaker 1>this type of sampling which we're seeing, you know, kind

658
00:36:24.920 --> 00:36:28.440
<v Speaker 1>of starting in research settings definitely, Like in the cancer

659
00:36:28.480 --> 00:36:33.199
<v Speaker 1>world we mentioned there are these these uh, I guess

660
00:36:33.199 --> 00:36:37.480
<v Speaker 1>surveillance approaches that allow for the tiniest amount of genetic

661
00:36:37.559 --> 00:36:40.559
<v Speaker 1>material to be found in the blood. But think about

662
00:36:40.599 --> 00:36:43.519
<v Speaker 1>like psychiatry for example, like why does prozac work on

663
00:36:43.599 --> 00:36:46.239
<v Speaker 1>me when like cetallogram makes me feel like shit?

664
00:36:46.360 --> 00:36:48.440
<v Speaker 2>Right, we might be able to figure that out later.

665
00:36:48.480 --> 00:36:52.159
<v Speaker 3>Like if I take Allegra, I'm like, probably I should

666
00:36:52.159 --> 00:36:55.079
<v Speaker 3>be in Allegra sales. If anyone's sort of Allegra listening,

667
00:36:55.159 --> 00:36:58.119
<v Speaker 3>I will be like, you're sales promoter or whatever. But

668
00:36:58.159 --> 00:37:00.599
<v Speaker 3>if I take a Zertec or you know, like I'm

669
00:37:00.679 --> 00:37:04.280
<v Speaker 3>just done. I can't function for weeks. And there's certain

670
00:37:04.280 --> 00:37:10.079
<v Speaker 3>people that are like more sensitive to Zertech than and

671
00:37:10.119 --> 00:37:12.400
<v Speaker 3>so yes, I do hope that one day we'll be

672
00:37:12.440 --> 00:37:16.719
<v Speaker 3>able to have more of like the pharmacogenetic insight. But

673
00:37:17.320 --> 00:37:19.320
<v Speaker 3>I guess that strays a little far from my main

674
00:37:19.360 --> 00:37:22.920
<v Speaker 3>message here, which is like, even if I'm not sensitive

675
00:37:22.920 --> 00:37:25.079
<v Speaker 3>to something today, my immune system might change because I

676
00:37:25.159 --> 00:37:29.000
<v Speaker 3>mutation and I might be sensitive heat tomorrow. So part

677
00:37:29.000 --> 00:37:31.920
<v Speaker 3>of the thing I want to emphasize is like we

678
00:37:32.039 --> 00:37:34.320
<v Speaker 3>have to give ourselves grace. Like a lot of the

679
00:37:34.320 --> 00:37:36.079
<v Speaker 3>time we're trying to figure out like who we are,

680
00:37:36.760 --> 00:37:38.480
<v Speaker 3>like what our bodies are doing, and then all of

681
00:37:38.519 --> 00:37:40.719
<v Speaker 3>a sudden, I don't know, you find out you're allergic

682
00:37:40.760 --> 00:37:42.599
<v Speaker 3>to something, but you could eat it before, Like what's

683
00:37:42.639 --> 00:37:47.880
<v Speaker 3>going on? Well, our bodies change, like cells turnover, DNA changes,

684
00:37:48.360 --> 00:37:50.519
<v Speaker 3>And my message is like we got to kind of

685
00:37:50.559 --> 00:37:53.360
<v Speaker 3>get our arms around that whole concept.

686
00:37:53.599 --> 00:37:56.960
<v Speaker 1>And so you know, this maps really well, I think

687
00:37:57.000 --> 00:37:59.800
<v Speaker 1>in a lot of ways to the research that we're

688
00:38:00.719 --> 00:38:04.639
<v Speaker 1>constantly talking about on another podcast I work on, the

689
00:38:04.679 --> 00:38:07.639
<v Speaker 1>Skeptics Guide the Universe, Will Well, you know, we covered

690
00:38:07.639 --> 00:38:10.400
<v Speaker 1>different science stories every single week, and very often we'll

691
00:38:10.440 --> 00:38:12.480
<v Speaker 1>be saying, oh, you know, based on the you know

692
00:38:12.639 --> 00:38:16.960
<v Speaker 1>whatever uk Biobank data, new researchers have you know, gotten

693
00:38:17.000 --> 00:38:19.599
<v Speaker 1>into this big database and they've learned that this is

694
00:38:19.599 --> 00:38:21.719
<v Speaker 1>how many steps you want to walk a day, or

695
00:38:21.760 --> 00:38:23.880
<v Speaker 1>they've learned that like this is how many vegetables you know,

696
00:38:24.239 --> 00:38:26.480
<v Speaker 1>on average people would eat, and then it has this

697
00:38:26.519 --> 00:38:30.519
<v Speaker 1>downstream effect on what we always are calling all cause mortality, right,

698
00:38:30.559 --> 00:38:34.039
<v Speaker 1>because it's like the broadest way to measure people who

699
00:38:34.079 --> 00:38:38.800
<v Speaker 1>did this died, you know, later than people who did that. Yeah,

700
00:38:38.880 --> 00:38:40.800
<v Speaker 1>and so what are those things that helped me not

701
00:38:40.920 --> 00:38:44.280
<v Speaker 1>die as soon? And obviously when you drill into research

702
00:38:44.440 --> 00:38:47.039
<v Speaker 1>like that, there are a million nuances and a thousand variables.

703
00:38:47.239 --> 00:38:52.360
<v Speaker 1>But it does make me wonder how much underlies you know,

704
00:38:52.400 --> 00:38:54.760
<v Speaker 1>how much of this really is what's going on with

705
00:38:54.800 --> 00:38:58.159
<v Speaker 1>our DNA, with all of these behavioral changes that have

706
00:38:58.239 --> 00:39:00.400
<v Speaker 1>all cause mortality effects.

707
00:39:00.800 --> 00:39:02.119
<v Speaker 3>Yeah, And by the way, I was just gonna I

708
00:39:02.159 --> 00:39:04.159
<v Speaker 3>was just gonna say, although I love me a good

709
00:39:04.239 --> 00:39:09.480
<v Speaker 3>uk Biobank study that out as the example, all roads

710
00:39:09.559 --> 00:39:11.400
<v Speaker 3>lead back to this uk Biobank, which of course is

711
00:39:11.400 --> 00:39:14.239
<v Speaker 3>like right, okay, like decided to get really serious about

712
00:39:14.480 --> 00:39:17.039
<v Speaker 3>getting like DNA sequences from a bunch of people in

713
00:39:17.039 --> 00:39:20.639
<v Speaker 3>they're just like, you've got a huge repository analysis. But yeah,

714
00:39:20.679 --> 00:39:23.639
<v Speaker 3>your question about like how much of variants in our

715
00:39:23.719 --> 00:39:28.400
<v Speaker 3>fate is due to d our DNA and also the

716
00:39:28.480 --> 00:39:32.039
<v Speaker 3>DNA mutation that happens in us, And I think the

717
00:39:32.119 --> 00:39:34.760
<v Speaker 3>answer is like a lot more than we have appreciated

718
00:39:34.800 --> 00:39:40.519
<v Speaker 3>in the past. And and Yeah, Like when I keep

719
00:39:40.519 --> 00:39:42.519
<v Speaker 3>going back to that thing I mentioned about how like

720
00:39:42.639 --> 00:39:45.360
<v Speaker 3>a single blood cell from a centenarian has three thousand

721
00:39:45.480 --> 00:39:47.480
<v Speaker 3>mutations that aren't found in other parts of the body. Like,

722
00:39:48.840 --> 00:39:52.519
<v Speaker 3>I just feel like we're going to be talking a

723
00:39:52.559 --> 00:39:58.159
<v Speaker 3>lot more about how our behaviors do affect our mutational

724
00:39:58.239 --> 00:40:00.079
<v Speaker 3>rates and like in different ways. So one thing I

725
00:40:00.119 --> 00:40:02.280
<v Speaker 3>found out as I was wrapping up the book that

726
00:40:02.440 --> 00:40:04.880
<v Speaker 3>I was able to include is that, you know, so

727
00:40:04.920 --> 00:40:06.360
<v Speaker 3>first of all, let me just back up and say,

728
00:40:06.360 --> 00:40:10.800
<v Speaker 3>we've gone from not understanding how much a person mutates

729
00:40:10.880 --> 00:40:13.239
<v Speaker 3>in the course of LIW life, Like fifteen years ago,

730
00:40:13.440 --> 00:40:15.400
<v Speaker 3>twenty years ago, we didn't even talk about this, right,

731
00:40:16.000 --> 00:40:18.159
<v Speaker 3>We've gone from like basically not a lot of data,

732
00:40:18.320 --> 00:40:22.000
<v Speaker 3>zero data, to like too much data, like data that

733
00:40:22.119 --> 00:40:24.440
<v Speaker 3>computers will have to crunch to make sense of. Because

734
00:40:24.559 --> 00:40:27.719
<v Speaker 3>what happened is in two thousand and nine, scientists developed

735
00:40:27.719 --> 00:40:32.000
<v Speaker 3>ways to get the genetic sequence from individual cells. So

736
00:40:32.159 --> 00:40:34.280
<v Speaker 3>no longer were they're kind of looking at the bulk

737
00:40:34.400 --> 00:40:37.239
<v Speaker 3>DNA of the body and making like a general assumption

738
00:40:37.280 --> 00:40:39.920
<v Speaker 3>about the DNA of a person. All of a sudden,

739
00:40:39.960 --> 00:40:41.559
<v Speaker 3>you can do like a census and be like, well,

740
00:40:41.559 --> 00:40:44.079
<v Speaker 3>these cells have this mutation in this person, but these

741
00:40:44.079 --> 00:40:47.159
<v Speaker 3>cells don't have this mutation in this person. Hmm, like

742
00:40:47.519 --> 00:40:50.840
<v Speaker 3>something something happened at some point like that is all

743
00:40:51.000 --> 00:40:54.800
<v Speaker 3>in the last decade really that labs have been able

744
00:40:54.800 --> 00:40:59.800
<v Speaker 3>to adopt the technology. And so going back for a second,

745
00:40:59.840 --> 00:41:03.360
<v Speaker 3>like just to say, as I was wrapping up the book,

746
00:41:03.719 --> 00:41:08.440
<v Speaker 3>they had crunched all of this like almost noisy data,

747
00:41:08.519 --> 00:41:11.239
<v Speaker 3>Like it's almost noisy, it's so much and found that

748
00:41:11.920 --> 00:41:16.679
<v Speaker 3>there's actually a different DNA mutation signature in people who

749
00:41:16.719 --> 00:41:20.159
<v Speaker 3>smoke tobacco versus chew Like the people that chewed tobacco

750
00:41:20.239 --> 00:41:23.199
<v Speaker 3>have a different mutational pattern than those who smoke it.

751
00:41:23.320 --> 00:41:28.679
<v Speaker 3>So like we are going to get more granular insights

752
00:41:29.159 --> 00:41:33.400
<v Speaker 3>into how our behaviors affect our DNA like and that

753
00:41:33.559 --> 00:41:36.280
<v Speaker 3>is so profound to me, like to us just to

754
00:41:36.360 --> 00:41:39.320
<v Speaker 3>know that, like what we choose to do. So it's

755
00:41:39.360 --> 00:41:41.079
<v Speaker 3>kind of like adding a layer like you're talking about,

756
00:41:41.079 --> 00:41:42.159
<v Speaker 3>like you know, you have a bunch of people, you

757
00:41:42.159 --> 00:41:45.360
<v Speaker 3>look at their DNA, You've all caused mortality. Now I

758
00:41:45.360 --> 00:41:48.599
<v Speaker 3>think we're going to have this extra layer that's like Okay,

759
00:41:48.840 --> 00:41:51.840
<v Speaker 3>they have that baseline genome, but then they're doing these

760
00:41:51.920 --> 00:41:54.119
<v Speaker 3>behaviors that these are the mutations are finding and that

761
00:41:54.119 --> 00:41:56.719
<v Speaker 3>that's linked to their mortality.

762
00:41:56.840 --> 00:41:58.440
<v Speaker 1>Yeah, and like, here's the thing that I'm going to

763
00:41:58.480 --> 00:42:01.400
<v Speaker 1>start getting a little like philosophical psychological about this, because

764
00:42:01.440 --> 00:42:05.599
<v Speaker 1>again I'm seeing this through my lens as a health

765
00:42:05.639 --> 00:42:09.760
<v Speaker 1>psychologist in a large metropolitan cancer center. One of the

766
00:42:09.800 --> 00:42:13.119
<v Speaker 1>biggest struggles that I have with my patients is the

767
00:42:13.920 --> 00:42:17.159
<v Speaker 1>why me? What could I have done to prevent this?

768
00:42:17.920 --> 00:42:20.960
<v Speaker 1>Is it because I didn't eat more vegetables? Is it

769
00:42:21.000 --> 00:42:24.039
<v Speaker 1>because I wasn't you know, I didn't take that class

770
00:42:24.079 --> 00:42:26.119
<v Speaker 1>that you know would have kept me more active? And

771
00:42:26.239 --> 00:42:29.920
<v Speaker 1>so much of the work that we are doing often

772
00:42:30.480 --> 00:42:36.960
<v Speaker 1>is grappling with the randomness of cancer, the fact that

773
00:42:37.000 --> 00:42:40.199
<v Speaker 1>cancer is not terribly selective, and that some people like

774
00:42:40.280 --> 00:42:42.760
<v Speaker 1>you mentioned before it's a loaded term, but are just

775
00:42:42.840 --> 00:42:48.519
<v Speaker 1>kind of like genetically unlucky. And I'm always worried about.

776
00:42:48.559 --> 00:42:51.800
<v Speaker 1>While on the one hand, learning more about how our

777
00:42:51.840 --> 00:42:57.079
<v Speaker 1>behaviors can affect these our DNA downstream I think will

778
00:42:57.079 --> 00:43:02.079
<v Speaker 1>be very empowering for making choices, I sometimes worry that

779
00:43:02.159 --> 00:43:04.760
<v Speaker 1>it maps back to the sort of power of positive

780
00:43:04.800 --> 00:43:07.440
<v Speaker 1>thinking movement, the secret all of this, like, well, you

781
00:43:07.519 --> 00:43:10.760
<v Speaker 1>manifested this because of some of the choices you made.

782
00:43:11.280 --> 00:43:14.199
<v Speaker 3>I'm already worried, like I'm or as I was writing

783
00:43:14.199 --> 00:43:17.199
<v Speaker 3>about this DNA and cigarettes and tobacco and things like that.

784
00:43:17.280 --> 00:43:20.239
<v Speaker 3>M M, I was already worried about like the first

785
00:43:20.239 --> 00:43:24.000
<v Speaker 3>paper linking microclastics to mutations, which is it's gonna come right,

786
00:43:26.000 --> 00:43:28.599
<v Speaker 3>like all the thousands of tiktoks that will launch, Like

787
00:43:28.679 --> 00:43:32.039
<v Speaker 3>I do. I do think that like what you're saying

788
00:43:32.079 --> 00:43:37.719
<v Speaker 3>is true, that there's a lot of danger here in it.

789
00:43:38.199 --> 00:43:41.039
<v Speaker 3>This is walking a super fine line. There's a danger

790
00:43:41.079 --> 00:43:45.639
<v Speaker 3>that we're going to try to be overly prescriptive in

791
00:43:45.760 --> 00:43:49.800
<v Speaker 3>like behavioral change based on like very early studies linking

792
00:43:50.159 --> 00:43:52.719
<v Speaker 3>certain behaviors to certain mutational patterns.

793
00:43:52.960 --> 00:43:55.280
<v Speaker 1>And judgmental and also prey on people with a lot

794
00:43:55.320 --> 00:43:56.400
<v Speaker 1>of pseudoscience.

795
00:43:57.199 --> 00:44:02.039
<v Speaker 3>Well, there's a lot of It's a treacherous where you

796
00:44:02.079 --> 00:44:04.119
<v Speaker 3>have a lot of people looking to say something about

797
00:44:04.199 --> 00:44:08.000
<v Speaker 3>biology when it's got to be careful at the same time.

798
00:44:08.119 --> 00:44:10.000
<v Speaker 3>Like it's funny because I actually wrote my book in

799
00:44:10.039 --> 00:44:16.039
<v Speaker 3>part to address this y N question, because I did

800
00:44:16.079 --> 00:44:19.400
<v Speaker 3>want to introduce the idea of randomness to people and

801
00:44:19.400 --> 00:44:22.960
<v Speaker 3>and for people to make peace with mutation, Like we

802
00:44:23.000 --> 00:44:24.719
<v Speaker 3>should talk about how it's good for you, because I

803
00:44:24.719 --> 00:44:27.800
<v Speaker 3>think that's really important. But I also say that, you know,

804
00:44:27.960 --> 00:44:30.519
<v Speaker 3>the in the two decades I've been reporting on genetics,

805
00:44:30.559 --> 00:44:33.320
<v Speaker 3>a lot of it has been on rare disease families

806
00:44:33.360 --> 00:44:37.119
<v Speaker 3>affected by like these genetic mutations that are rare, and

807
00:44:39.719 --> 00:44:42.159
<v Speaker 3>I feel like there's an other ring of people that

808
00:44:42.559 --> 00:44:46.039
<v Speaker 3>have really obvious mutations, and I want to make a shirt.

809
00:44:46.400 --> 00:44:48.199
<v Speaker 3>I should make a shirt this summers like I am

810
00:44:48.239 --> 00:44:52.480
<v Speaker 3>a mutant because we're all mutants, and I think that

811
00:44:52.800 --> 00:44:54.199
<v Speaker 3>part of what I'm trying to do is just get

812
00:44:54.239 --> 00:44:58.719
<v Speaker 3>people to accept that, like living to live is to mutate.

813
00:44:58.760 --> 00:45:01.119
<v Speaker 3>To mutate us to live. And so what I want

814
00:45:01.159 --> 00:45:04.920
<v Speaker 3>to say about immunity is like you have to If

815
00:45:04.960 --> 00:45:09.800
<v Speaker 3>your immune cells don't mutate, you can't make antibodies to

816
00:45:09.880 --> 00:45:13.719
<v Speaker 3>fight the pathogens you encounter in your life. The engine

817
00:45:13.760 --> 00:45:16.280
<v Speaker 3>of our immune system is mutation. So I don't know

818
00:45:16.280 --> 00:45:17.719
<v Speaker 3>if you want to talk about that, but that's a

819
00:45:17.880 --> 00:45:21.119
<v Speaker 3>super important flip side of all the negative things we've

820
00:45:21.159 --> 00:45:21.840
<v Speaker 3>been talking about.

821
00:45:22.159 --> 00:45:26.360
<v Speaker 2>Yeah, I think that one hundred percent that segue is.

822
00:45:28.599 --> 00:45:32.119
<v Speaker 1>Necessary, especially right now because the way I plan to

823
00:45:32.159 --> 00:45:34.800
<v Speaker 1>get into it, which God, it just makes me realize

824
00:45:34.800 --> 00:45:36.599
<v Speaker 1>how old I am, and how long it's been since

825
00:45:36.599 --> 00:45:39.000
<v Speaker 1>I've been well, I actually did recently finish my PhD.

826
00:45:39.079 --> 00:45:40.920
<v Speaker 1>But how long it's been since I took a biology

827
00:45:40.960 --> 00:45:43.800
<v Speaker 1>class because that was in psychology. But I was going

828
00:45:43.840 --> 00:45:46.159
<v Speaker 1>to bring up how like you know sickle cell, Like

829
00:45:46.159 --> 00:45:49.239
<v Speaker 1>that's always the example, right, Like sickle cell is like

830
00:45:49.280 --> 00:45:52.119
<v Speaker 1>this horrific disease and it can cause so much pain

831
00:45:52.239 --> 00:45:54.840
<v Speaker 1>and so much disability for so many people, but it

832
00:45:55.000 --> 00:45:59.880
<v Speaker 1>happens kind of as an outcome of good mutations that

833
00:45:59.880 --> 00:46:02.360
<v Speaker 1>a lot of people are caring that help prevent them

834
00:46:02.719 --> 00:46:08.519
<v Speaker 1>from pretty debilitating malaria infections. Right, So there's like often

835
00:46:08.519 --> 00:46:10.199
<v Speaker 1>we do see like two sides of the same coin,

836
00:46:10.320 --> 00:46:15.880
<v Speaker 1>even within similar genetic mutations. But what I'm hearing from

837
00:46:15.920 --> 00:46:18.880
<v Speaker 1>you is that, like we got to stop thinking about

838
00:46:18.960 --> 00:46:22.320
<v Speaker 1>mutation as like putting a moral judgment on it anyway

839
00:46:22.440 --> 00:46:22.960
<v Speaker 1>or as somehow.

840
00:46:24.079 --> 00:46:26.159
<v Speaker 3>I mean, it's interesting that earlier question we're like, oh,

841
00:46:26.199 --> 00:46:28.719
<v Speaker 3>not to get philosophical. I'm like, this is all philosophical.

842
00:46:29.559 --> 00:46:33.719
<v Speaker 3>It's all like it's all philosophy, Like it's not. It's

843
00:46:33.760 --> 00:46:36.559
<v Speaker 3>not like it's just like hard science. Like I really

844
00:46:36.559 --> 00:46:40.199
<v Speaker 3>try to approach this topic through stories like history, stories,

845
00:46:40.360 --> 00:46:46.599
<v Speaker 3>patient narratives and like, uh and really like the deeper

846
00:46:46.639 --> 00:46:51.079
<v Speaker 3>philosophy at what all this means? So everybody here remembers

847
00:46:51.119 --> 00:46:52.800
<v Speaker 3>the COVID pandemic, right.

848
00:46:53.599 --> 00:46:56.280
<v Speaker 2>We all know, so when was that totally black?

849
00:46:56.320 --> 00:47:04.159
<v Speaker 3>That so so when our bodies had never seen COVID before,

850
00:47:04.159 --> 00:47:06.320
<v Speaker 3>Nobody on Earth, no human being on Earth had like

851
00:47:06.360 --> 00:47:10.480
<v Speaker 3>encountered COVID before. And yet you know, despite the tremendous

852
00:47:10.519 --> 00:47:14.400
<v Speaker 3>humans human loss, many of us got it and our

853
00:47:14.440 --> 00:47:16.960
<v Speaker 3>bodies could fight it off. How could they fight a

854
00:47:17.079 --> 00:47:20.599
<v Speaker 3>disease they had never seen before? How could my immune system?

855
00:47:20.920 --> 00:47:24.519
<v Speaker 3>And you're I'm assuming you got COVID your immune three times? Yep?

856
00:47:24.599 --> 00:47:31.880
<v Speaker 3>Oh man, I'm on two, so they're not so uh

857
00:47:32.199 --> 00:47:34.199
<v Speaker 3>how could our bodies fight it? And the answer is

858
00:47:35.239 --> 00:47:39.920
<v Speaker 3>our immune cells have something a weird function where their

859
00:47:40.000 --> 00:47:43.360
<v Speaker 3>DNA can shift around and change a lot. And what

860
00:47:43.400 --> 00:47:45.400
<v Speaker 3>they do is they they kind of pull a lever.

861
00:47:45.519 --> 00:47:49.599
<v Speaker 3>You never like the vaguest style like slot what they

862
00:47:49.599 --> 00:47:51.440
<v Speaker 3>call slot machines that you know, you pull a lever

863
00:47:51.920 --> 00:47:53.639
<v Speaker 3>and the things spin around and then like you get

864
00:47:53.639 --> 00:47:56.760
<v Speaker 3>different combinations. That's going on inside our immune cells all

865
00:47:56.760 --> 00:47:58.920
<v Speaker 3>the time with our DNA. Just imagine the cell like

866
00:47:59.000 --> 00:48:01.679
<v Speaker 3>pulling a lever, not like an actual lever, but just

867
00:48:02.639 --> 00:48:05.239
<v Speaker 3>there's functions that switch around the DNA, and what happens

868
00:48:05.280 --> 00:48:09.800
<v Speaker 3>is you get a different instruction from that sequence, and

869
00:48:09.840 --> 00:48:12.000
<v Speaker 3>it makes an antibody with a different shape. And so

870
00:48:12.000 --> 00:48:16.920
<v Speaker 3>it's just constantly making different mutations hoping one will make

871
00:48:16.920 --> 00:48:19.960
<v Speaker 3>an antibody that's necessary. It's just playing the odds if

872
00:48:19.960 --> 00:48:26.480
<v Speaker 3>you will, and so much so, so much so that okay, well,

873
00:48:26.519 --> 00:48:29.280
<v Speaker 3>anytime you get sick, it's like doing this process, right,

874
00:48:29.360 --> 00:48:31.679
<v Speaker 3>But when you get a vaccine, it also does it.

875
00:48:32.079 --> 00:48:35.559
<v Speaker 3>So these researchers in New York I write about looked

876
00:48:35.559 --> 00:48:38.760
<v Speaker 3>at people who had gotten like a booster shot, which

877
00:48:38.920 --> 00:48:43.960
<v Speaker 3>again further causes more mutation, hence like more benefit. Like

878
00:48:44.519 --> 00:48:47.559
<v Speaker 3>mutation is good in this instance. There are people that

879
00:48:47.679 --> 00:48:49.639
<v Speaker 3>can't mutate their immune cells, and they have to live

880
00:48:49.639 --> 00:48:53.440
<v Speaker 3>in like sterile bubbles or get transplants so that they

881
00:48:53.440 --> 00:48:56.880
<v Speaker 3>can have like a reset of their immune system from

882
00:48:56.880 --> 00:48:59.840
<v Speaker 3>somebody else that then gives them the ability to mutate.

883
00:49:00.599 --> 00:49:02.920
<v Speaker 3>And so even people that got like these booster shots

884
00:49:03.119 --> 00:49:07.480
<v Speaker 3>had cell immune cells that could make antibites about against

885
00:49:07.599 --> 00:49:11.159
<v Speaker 3>versions of COVID that had not yet even existed. Like

886
00:49:11.199 --> 00:49:13.079
<v Speaker 3>those variants that had not yet come along, which was

887
00:49:13.119 --> 00:49:16.679
<v Speaker 3>miraculous if you ask me, So that's a good side

888
00:49:16.679 --> 00:49:18.719
<v Speaker 3>of mutation. I don't know if I explained it well.

889
00:49:19.480 --> 00:49:25.800
<v Speaker 1>Absolutely, I mean it's it's it's a weird moralization that

890
00:49:25.840 --> 00:49:29.320
<v Speaker 1>we do from a scientific perspective, I think, because we

891
00:49:29.360 --> 00:49:31.199
<v Speaker 1>are the center of our own universe, and when we

892
00:49:31.239 --> 00:49:35.440
<v Speaker 1>think about biological processes, very often we think of them

893
00:49:35.440 --> 00:49:38.920
<v Speaker 1>from a sort of anthropocentric perspective, So we're like, does

894
00:49:39.000 --> 00:49:41.280
<v Speaker 1>it make me sick? Does it let me feel good

895
00:49:41.320 --> 00:49:41.920
<v Speaker 1>in my body?

896
00:49:42.039 --> 00:49:44.639
<v Speaker 3>The sickness is easier to see though, Also, like I

897
00:49:44.639 --> 00:49:47.199
<v Speaker 3>think some of the meaning we give the term is

898
00:49:47.960 --> 00:49:51.280
<v Speaker 3>because like there's mutations that every time we got a drink,

899
00:49:51.480 --> 00:49:54.599
<v Speaker 3>like of alcohol, Like our livers are getting insulted. The

900
00:49:54.639 --> 00:49:56.760
<v Speaker 3>scientists say, a doctor say insulted. I mean, it's a

901
00:49:56.840 --> 00:49:59.920
<v Speaker 3>nice way of putting it maybe, And they've found evan

902
00:50:00.199 --> 00:50:03.599
<v Speaker 3>that like even in healthy people, when livers get damaged

903
00:50:03.599 --> 00:50:06.400
<v Speaker 3>when they're they're around, like if you have too many calories,

904
00:50:06.440 --> 00:50:09.320
<v Speaker 3>if you end up like going towards fatty liver disease,

905
00:50:09.719 --> 00:50:12.679
<v Speaker 3>you're the immune cell, sorry, not the emune cells, the

906
00:50:12.679 --> 00:50:16.320
<v Speaker 3>liver cells that regenerate in your liver oftentimes pick up

907
00:50:16.400 --> 00:50:21.079
<v Speaker 3>mutations that help them process extra calories better, like like

908
00:50:21.199 --> 00:50:25.880
<v Speaker 3>sequester the extra ones they don't need better. So so

909
00:50:25.920 --> 00:50:28.079
<v Speaker 3>there's and like we would never know that's going on

910
00:50:28.199 --> 00:50:30.320
<v Speaker 3>until this age of DNA sequencing. So some of this

911
00:50:30.320 --> 00:50:32.960
<v Speaker 3>stuff's been like the good side of mutation has been hidden.

912
00:50:32.960 --> 00:50:37.719
<v Speaker 3>We just take it for granted. And and I do

913
00:50:37.760 --> 00:50:40.760
<v Speaker 3>think that, uh, maybe if part of it's also that

914
00:50:40.800 --> 00:50:43.199
<v Speaker 3>we're not super comfortable with change. We're like, this is

915
00:50:43.239 --> 00:50:45.480
<v Speaker 3>my body, Like I don't need the DNA to change,

916
00:50:45.519 --> 00:50:49.679
<v Speaker 3>but sometimes we it helps us well.

917
00:50:49.719 --> 00:50:53.639
<v Speaker 1>And I think it's also why there's this ever difficult struggle.

918
00:50:53.679 --> 00:50:55.679
<v Speaker 1>And I wish somebody would tell this to all of

919
00:50:55.719 --> 00:50:58.719
<v Speaker 1>the billionaire investors out there, But there's this sort of

920
00:50:58.800 --> 00:51:02.760
<v Speaker 1>push pull and this difficult struggle between I don't want

921
00:51:02.760 --> 00:51:05.039
<v Speaker 1>to say between because it makes it sound like it's diametric,

922
00:51:05.119 --> 00:51:07.559
<v Speaker 1>and it's not. It's more complicated than that, but between

923
00:51:07.599 --> 00:51:10.280
<v Speaker 1>sort of like aging research and anti aging research and

924
00:51:10.360 --> 00:51:14.400
<v Speaker 1>cancer research, like the very things that we could do

925
00:51:14.519 --> 00:51:18.360
<v Speaker 1>sometimes to our bodies to make us live longer could

926
00:51:18.400 --> 00:51:21.320
<v Speaker 1>be very dangerous because they can like induce cancer in

927
00:51:21.440 --> 00:51:25.000
<v Speaker 1>us and vice versa, and I think we're always yeah,

928
00:51:25.039 --> 00:51:26.920
<v Speaker 1>like there's always this like, oh, if we just like

929
00:51:27.079 --> 00:51:29.559
<v Speaker 1>drink you know, this potion, or we just you know,

930
00:51:29.719 --> 00:51:32.199
<v Speaker 1>change ourselves so that they don't do this thing anymore,

931
00:51:32.800 --> 00:51:34.559
<v Speaker 1>I'll just live forever. And I'm like, yeah, and you'll

932
00:51:34.599 --> 00:51:37.840
<v Speaker 1>just be loaded with more mutations and you'll have way

933
00:51:37.880 --> 00:51:39.800
<v Speaker 1>more diseases. You'll be fighting off the whole.

934
00:51:40.000 --> 00:51:41.920
<v Speaker 3>Yeah, Like I don't have time. Like I think if

935
00:51:41.920 --> 00:51:43.719
<v Speaker 3>people really want to know the full story, they should,

936
00:51:43.719 --> 00:51:45.440
<v Speaker 3>they should read the book. But one of the things

937
00:51:45.480 --> 00:51:51.239
<v Speaker 3>I'll mention is that like even antioxidants, it's like I

938
00:51:51.320 --> 00:51:52.840
<v Speaker 3>was like, oh, they must be great, but as I

939
00:51:52.880 --> 00:51:56.159
<v Speaker 3>looked into it, it's like more like a little bit

940
00:51:56.199 --> 00:51:58.119
<v Speaker 3>can be good, but like too much is actually linked

941
00:51:58.159 --> 00:52:03.480
<v Speaker 3>to worse outcomes. So so it's like what your grandmother's

942
00:52:03.760 --> 00:52:09.039
<v Speaker 3>all said about like moderation so true, so necessary, and like, yeah,

943
00:52:09.119 --> 00:52:12.760
<v Speaker 3>it's interesting because not just not just cancer that like

944
00:52:12.840 --> 00:52:16.079
<v Speaker 3>anti aging stuff doesn't just necessarily increase risk of cancer.

945
00:52:16.199 --> 00:52:18.360
<v Speaker 3>It's also like if you think about it, because there

946
00:52:18.360 --> 00:52:21.519
<v Speaker 3>are companies now starting up that I write about that

947
00:52:21.559 --> 00:52:27.599
<v Speaker 3>are trying to like slow mutation from happening in the body,

948
00:52:27.639 --> 00:52:29.920
<v Speaker 3>as as on the premise that like mutation is what

949
00:52:30.039 --> 00:52:32.840
<v Speaker 3>causes frailty and aging and all these things. But of course,

950
00:52:32.840 --> 00:52:34.880
<v Speaker 3>as we just talked about, like if you can't mutate,

951
00:52:35.719 --> 00:52:38.880
<v Speaker 3>you're not going to make new, better antibodies. So is

952
00:52:38.920 --> 00:52:41.960
<v Speaker 3>the compromise of slowing mutation going to be a weakened

953
00:52:41.960 --> 00:52:46.440
<v Speaker 3>immune system? Yeah, gb D I.

954
00:52:48.320 --> 00:52:49.639
<v Speaker 2>I'm not such an important point.

955
00:52:50.079 --> 00:52:52.079
<v Speaker 1>We talk about this a lot on the SDU kind

956
00:52:52.079 --> 00:52:56.280
<v Speaker 1>of going back to the overarching point that you know,

957
00:52:56.320 --> 00:52:59.440
<v Speaker 1>you see all of this pseudoscientific bullshit online about like

958
00:52:59.559 --> 00:53:01.000
<v Speaker 1>we want to boost your immune system.

959
00:53:01.079 --> 00:53:03.159
<v Speaker 2>Well that's good to a point until.

960
00:53:03.000 --> 00:53:07.159
<v Speaker 1>It becomes until you get an autoimmune disease, right, and

961
00:53:07.199 --> 00:53:10.400
<v Speaker 1>like you want to exactly you want to take these

962
00:53:10.440 --> 00:53:13.960
<v Speaker 1>antioxidants or you know, like reduce oxidative stret Well that's

963
00:53:14.000 --> 00:53:16.480
<v Speaker 1>good to a point until and everything is like that,

964
00:53:16.519 --> 00:53:18.920
<v Speaker 1>like everything is toxic and large enough or small enough,

965
00:53:19.000 --> 00:53:21.960
<v Speaker 1>you know, depending quantities are.

966
00:53:21.920 --> 00:53:24.159
<v Speaker 3>Lacked there, Like you know, going back to the immune

967
00:53:24.199 --> 00:53:26.000
<v Speaker 3>system again, not that I'm hung up on it, but

968
00:53:26.239 --> 00:53:30.079
<v Speaker 3>I did write a lot about COVID. You know, during

969
00:53:30.119 --> 00:53:34.639
<v Speaker 3>the pandemic, a lot of discussion on Twitter was about

970
00:53:34.679 --> 00:53:38.199
<v Speaker 3>how to boost your immune system, and there was a

971
00:53:38.199 --> 00:53:41.880
<v Speaker 3>lot of people saying like, oh, the vaccines like like

972
00:53:42.000 --> 00:53:45.840
<v Speaker 3>five G gonna like change your DNA, and of course,

973
00:53:45.960 --> 00:53:51.079
<v Speaker 3>like the mRNA vaccines do not directly change your DNA,

974
00:53:51.239 --> 00:53:54.039
<v Speaker 3>like nothing is getting inserted into your DNA, Like let's

975
00:53:54.079 --> 00:54:01.079
<v Speaker 3>just be absolutely clear about that. But you do need

976
00:54:01.280 --> 00:54:04.239
<v Speaker 3>like it is going to mutate. It's going to cause

977
00:54:04.320 --> 00:54:07.000
<v Speaker 3>mutational processes in your DNA to make better antibody. So

978
00:54:07.039 --> 00:54:10.400
<v Speaker 3>instead of saying like I would say, a strong immune

979
00:54:10.400 --> 00:54:14.440
<v Speaker 3>system is a diversified one, and that diversification is really

980
00:54:14.480 --> 00:54:19.280
<v Speaker 3>helped by vaccines. Like if you're not taking vaccines, you're

981
00:54:19.320 --> 00:54:21.880
<v Speaker 3>not diversifying your immune system. So it's not going to

982
00:54:21.960 --> 00:54:25.960
<v Speaker 3>be as ready to like it doesn't have that antibody

983
00:54:25.960 --> 00:54:28.719
<v Speaker 3>it needs in place at the get go. You're going

984
00:54:28.760 --> 00:54:31.000
<v Speaker 3>to be trying to make it on the fly and

985
00:54:31.159 --> 00:54:33.519
<v Speaker 3>like good luck, because you might not take it in time.

986
00:54:34.360 --> 00:54:36.760
<v Speaker 1>It's why I always get my flu shot every year,

987
00:54:36.800 --> 00:54:39.119
<v Speaker 1>even if it turns out that it's not that effective

988
00:54:39.119 --> 00:54:41.599
<v Speaker 1>that year. My assumption is if I'm doing it every

989
00:54:41.599 --> 00:54:45.719
<v Speaker 1>single year, I am developing immunity to all these different

990
00:54:45.760 --> 00:54:47.559
<v Speaker 1>strains of flu.

991
00:54:48.039 --> 00:54:51.400
<v Speaker 3>I need to be very clear that I was vaccine

992
00:54:51.440 --> 00:54:54.360
<v Speaker 3>hesitant and I'm a reporter for twenty years on. You know,

993
00:54:56.400 --> 00:54:59.119
<v Speaker 3>I did not. I did not get the flu vaccine,

994
00:54:59.199 --> 00:55:01.159
<v Speaker 3>despite the fact of living with somebody he would always

995
00:55:01.199 --> 00:55:02.679
<v Speaker 3>get the flu vaccine and I'd be like, I don't

996
00:55:02.679 --> 00:55:03.559
<v Speaker 3>need the flu vaccine.

997
00:55:03.920 --> 00:55:07.760
<v Speaker 1>So you were secondarily protected by him.

998
00:55:08.480 --> 00:55:13.880
<v Speaker 3>Maybe so maybe so so uh But I got it

999
00:55:13.920 --> 00:55:17.199
<v Speaker 3>one year not that long ago, less than a decade ago.

1000
00:55:17.719 --> 00:55:20.159
<v Speaker 3>And about a month later, I had like a really

1001
00:55:20.239 --> 00:55:25.039
<v Speaker 3>mysterious lethargy, went to two doctors, like couldn't figure it out.

1002
00:55:25.159 --> 00:55:28.519
<v Speaker 3>They tested me for CMV, which is like cytomegalovirus, because

1003
00:55:28.519 --> 00:55:33.559
<v Speaker 3>I had already had mono Like uh uh. Turns out

1004
00:55:33.840 --> 00:55:36.960
<v Speaker 3>I had subacute hyroiditis. And the only reason they found

1005
00:55:36.960 --> 00:55:39.480
<v Speaker 3>out was I walked. I was like really so like

1006
00:55:39.519 --> 00:55:41.639
<v Speaker 3>I was very tired to the point where I was

1007
00:55:41.679 --> 00:55:44.679
<v Speaker 3>I was drinking maple syrup from like like a glass,

1008
00:55:44.719 --> 00:55:47.280
<v Speaker 3>like and eating double hamburgers and going to spin class

1009
00:55:47.360 --> 00:55:50.840
<v Speaker 3>like six times a week. It was like things were

1010
00:55:50.840 --> 00:55:54.960
<v Speaker 3>weird and I was still very tired and yet like

1011
00:55:54.960 --> 00:55:57.599
<v Speaker 3>like jacked up in terms of like I was talking fast.

1012
00:55:58.360 --> 00:56:02.000
<v Speaker 3>So so finally I went to this like eronos and

1013
00:56:02.039 --> 00:56:05.320
<v Speaker 3>throat doctor because I had like a my neck was weird,

1014
00:56:06.039 --> 00:56:08.320
<v Speaker 3>and it was the kind of appointment you don't want

1015
00:56:08.320 --> 00:56:12.519
<v Speaker 3>to have where the doctor walks into the room, looks

1016
00:56:12.559 --> 00:56:15.519
<v Speaker 3>at you and then it's like yeah, I'll go get

1017
00:56:15.519 --> 00:56:17.280
<v Speaker 3>somebody else. And you're like wait, wait, don't you want

1018
00:56:17.320 --> 00:56:19.599
<v Speaker 3>to diagnose me? And he's like no, no, no, I

1019
00:56:19.679 --> 00:56:21.920
<v Speaker 3>just diagnosed you. I just looked at you. So I

1020
00:56:21.960 --> 00:56:24.760
<v Speaker 3>had a lump on my thyroid and it was because

1021
00:56:24.800 --> 00:56:27.199
<v Speaker 3>it was like die, it was like bursting. Now why

1022
00:56:27.239 --> 00:56:30.360
<v Speaker 3>do I bring this story up? Because sebakit thyroiditis is

1023
00:56:30.360 --> 00:56:35.039
<v Speaker 3>often a post viral effect. Ah, so this is a

1024
00:56:35.159 --> 00:56:37.559
<v Speaker 3>very so like you know, you lose your thyroid tissue.

1025
00:56:37.559 --> 00:56:40.719
<v Speaker 3>It's like not great. But if I had gotten the vaccine,

1026
00:56:41.320 --> 00:56:43.800
<v Speaker 3>I probably wouldn't have had as severe a flu and

1027
00:56:43.840 --> 00:56:46.679
<v Speaker 3>I probably wouldn't have had But then, like who knows,

1028
00:56:46.719 --> 00:56:48.519
<v Speaker 3>going back to like the whole thing we're talking about,

1029
00:56:48.519 --> 00:56:51.239
<v Speaker 3>like why me? You know, maybe I would still have

1030
00:56:51.280 --> 00:56:53.920
<v Speaker 3>had the mutation that I would have precipitated that whole thing,

1031
00:56:54.000 --> 00:56:55.119
<v Speaker 3>So who knows.

1032
00:56:55.360 --> 00:56:57.119
<v Speaker 1>We do what we can with the tools that we

1033
00:56:57.199 --> 00:57:00.599
<v Speaker 1>have available, and I feel like the responsible thing is

1034
00:57:00.679 --> 00:57:04.679
<v Speaker 1>to find balance in your life and to utilize the

1035
00:57:04.719 --> 00:57:08.360
<v Speaker 1>tools when they are uh, you know, when you have access,

1036
00:57:08.360 --> 00:57:10.559
<v Speaker 1>when you are in a privileged enough position to do them.

1037
00:57:10.760 --> 00:57:12.880
<v Speaker 1>I think where things get irresponsible, right, it is where

1038
00:57:12.920 --> 00:57:16.920
<v Speaker 1>people have access to tools that are evidence based and

1039
00:57:17.519 --> 00:57:20.639
<v Speaker 1>they refuse to utilize those tools, not because of a

1040
00:57:20.760 --> 00:57:25.480
<v Speaker 1>legitimate risk, but because of an imagined or a agenda

1041
00:57:25.559 --> 00:57:29.800
<v Speaker 1>driven description of risk that's not actually you know, based

1042
00:57:29.800 --> 00:57:33.719
<v Speaker 1>in science. That's when things are worrisome for me living

1043
00:57:33.760 --> 00:57:36.039
<v Speaker 1>in a country where there are people at the helm

1044
00:57:36.280 --> 00:57:40.159
<v Speaker 1>and giving global health advice or national health advice who

1045
00:57:40.199 --> 00:57:42.400
<v Speaker 1>do not have the expertise that they need to be.

1046
00:57:42.599 --> 00:57:44.239
<v Speaker 3>I would going to say the whole irony of the story,

1047
00:57:44.280 --> 00:57:45.559
<v Speaker 3>the long story I told you is I was drinking

1048
00:57:45.559 --> 00:57:47.559
<v Speaker 3>makeup sup before I even lived in Canada where I

1049
00:57:47.559 --> 00:57:53.119
<v Speaker 3>am mouse, and I called it my allergies are acting up.

1050
00:57:53.159 --> 00:57:57.559
<v Speaker 3>So if I'm like sniffling a bit, that's that's me

1051
00:57:57.840 --> 00:57:58.400
<v Speaker 3>in June.

1052
00:57:58.519 --> 00:58:00.519
<v Speaker 2>Basically that's your DNA.

1053
00:58:00.599 --> 00:58:00.840
<v Speaker 1>Man.

1054
00:58:02.039 --> 00:58:05.079
<v Speaker 3>Well, you know allergy is probably linked to immune cell's

1055
00:58:05.079 --> 00:58:08.159
<v Speaker 3>gone wrong, so anyway.

1056
00:58:06.960 --> 00:58:11.199
<v Speaker 2>Probably everything. I mean, that's the It's like whenever.

1057
00:58:10.880 --> 00:58:13.639
<v Speaker 1>I talk on the show about patriarchy or I talk

1058
00:58:13.639 --> 00:58:16.320
<v Speaker 1>about intersectionality, and like it's one of those things where

1059
00:58:16.360 --> 00:58:18.679
<v Speaker 1>where you start. Once you see it, you can't not

1060
00:58:18.840 --> 00:58:20.000
<v Speaker 1>see it everywhere.

1061
00:58:20.360 --> 00:58:23.079
<v Speaker 3>I imagine patriarchy has like mutation. And I was like,

1062
00:58:23.199 --> 00:58:26.079
<v Speaker 3>let me under that one a little bit more.

1063
00:58:26.599 --> 00:58:27.800
<v Speaker 2>I'll figure out how it is.

1064
00:58:28.000 --> 00:58:30.760
<v Speaker 1>No, But like probably once you start thinking in terms

1065
00:58:30.800 --> 00:58:32.679
<v Speaker 1>of you know, like we started thinking in terms of

1066
00:58:33.199 --> 00:58:35.840
<v Speaker 1>cell turnover itself. Once we realize that your cells are

1067
00:58:35.840 --> 00:58:38.880
<v Speaker 1>not permanent, it changed the way we thought about biology.

1068
00:58:39.199 --> 00:58:41.679
<v Speaker 1>Now that we realize that your DNA is not permanent,

1069
00:58:41.719 --> 00:58:46.760
<v Speaker 1>that it's constantly changing throughout the lifespan, it probably does.

1070
00:58:47.039 --> 00:58:50.760
<v Speaker 1>It's it's the water that these researchers and these you know,

1071
00:58:50.800 --> 00:58:55.000
<v Speaker 1>these biomedical scientists but also practitioners are probably starting to

1072
00:58:55.159 --> 00:58:58.199
<v Speaker 1>swim in, and it has explanatory value.

1073
00:58:58.440 --> 00:59:01.599
<v Speaker 3>Yeah. Yeah, And like I feel so glad that I

1074
00:59:01.639 --> 00:59:03.559
<v Speaker 3>did this book because now I'm like, well, I told

1075
00:59:03.599 --> 00:59:06.719
<v Speaker 3>you so, like I said it, and the you know,

1076
00:59:06.960 --> 00:59:10.320
<v Speaker 3>like you know, during the pandemic I wrote about I

1077
00:59:10.320 --> 00:59:12.639
<v Speaker 3>was the first journalist to write about COVID being airborne.

1078
00:59:12.679 --> 00:59:14.000
<v Speaker 3>And I did it at a time where a lot

1079
00:59:14.000 --> 00:59:15.920
<v Speaker 3>of my friends who are science journalists were like, don't

1080
00:59:15.960 --> 00:59:19.039
<v Speaker 3>say that, Rock sannem like it's you know, just wash

1081
00:59:19.079 --> 00:59:20.679
<v Speaker 3>your hands and I was like, no, no, I like,

1082
00:59:21.199 --> 00:59:25.920
<v Speaker 3>know these virologists, I know these aerobiologists, like you know,

1083
00:59:26.519 --> 00:59:28.119
<v Speaker 3>I think this is something I need to say, and

1084
00:59:28.159 --> 00:59:31.079
<v Speaker 3>I said it, and I felt so good after I

1085
00:59:31.119 --> 00:59:33.280
<v Speaker 3>said it, even though it took like six months for

1086
00:59:33.320 --> 00:59:35.679
<v Speaker 3>people to like robout you to come along and be like, oh,

1087
00:59:35.719 --> 00:59:38.320
<v Speaker 3>actually also wear a mask. I don't know if it

1088
00:59:38.320 --> 00:59:40.800
<v Speaker 3>was six months, but it was several. It wasn't right away.

1089
00:59:41.079 --> 00:59:43.000
<v Speaker 3>But I feel the same way about this. I feel

1090
00:59:43.000 --> 00:59:45.239
<v Speaker 3>the same way. I feel like I said it, and

1091
00:59:45.320 --> 00:59:48.719
<v Speaker 3>now I can relax because I let other people kind

1092
00:59:48.719 --> 00:59:51.239
<v Speaker 3>of like catch up to it and like feel the

1093
00:59:51.320 --> 00:59:53.360
<v Speaker 3>consequence of it. But I do think it's a really

1094
00:59:53.639 --> 00:59:56.480
<v Speaker 3>important thing for people to grasp. Well.

1095
00:59:56.559 --> 01:00:00.159
<v Speaker 1>Gosh, speaking of relaxing, that I have to ask, are

1096
01:00:00.199 --> 01:00:03.679
<v Speaker 1>you back to your your nonsense? You know? Are you

1097
01:00:03.800 --> 01:00:07.840
<v Speaker 1>just finding really interesting stories within these fields and continue

1098
01:00:07.960 --> 01:00:11.039
<v Speaker 1>to report on that. Do you have any new obsessions

1099
01:00:11.079 --> 01:00:12.519
<v Speaker 1>that you're chasing down now?

1100
01:00:12.639 --> 01:00:15.079
<v Speaker 3>I mean, interestingly, when I was writing this book, people like, oh,

1101
01:00:15.199 --> 01:00:18.079
<v Speaker 3>so you're writing about epigenetics, and I was like no, no, no, no, no,

1102
01:00:18.079 --> 01:00:22.480
<v Speaker 3>no no no. Like so, epigenetics refers to like the markers,

1103
01:00:22.559 --> 01:00:25.599
<v Speaker 3>these chemical tags that end up on DNA to like

1104
01:00:25.639 --> 01:00:27.480
<v Speaker 3>turn it on or turn it off, but it doesn't

1105
01:00:27.519 --> 01:00:32.000
<v Speaker 3>actually change the DNA sequence itself. And these tags can

1106
01:00:32.079 --> 01:00:34.039
<v Speaker 3>change through behavior, so like again like going back to

1107
01:00:34.119 --> 01:00:36.840
<v Speaker 3>smoking or exercise or all these things. Like it can

1108
01:00:37.199 --> 01:00:39.639
<v Speaker 3>modify like which genes are turned on and off by

1109
01:00:39.719 --> 01:00:43.559
<v Speaker 3>the addition or subtraction of these these epigenetic tags. So

1110
01:00:43.599 --> 01:00:45.599
<v Speaker 3>I've actually I've gone back to actually writing about that,

1111
01:00:45.679 --> 01:00:47.440
<v Speaker 3>and I have a cool story coming up about that

1112
01:00:47.480 --> 01:00:51.639
<v Speaker 3>in Nature and Nature Magazine. So yeah, like I'm back

1113
01:00:51.679 --> 01:00:54.440
<v Speaker 3>on my stuff. As you could say, amazing.

1114
01:00:54.880 --> 01:00:56.079
<v Speaker 2>I love it well, everybody.

1115
01:00:56.159 --> 01:01:00.599
<v Speaker 1>The book is beyond Inheritance, are Ever Mutating so and

1116
01:01:00.639 --> 01:01:04.840
<v Speaker 1>a new understanding of health. It's been such a pleasure

1117
01:01:04.880 --> 01:01:08.519
<v Speaker 1>to chat with you today and there's so much in

1118
01:01:08.559 --> 01:01:12.239
<v Speaker 1>here that we did not get to. So guys, pick

1119
01:01:12.320 --> 01:01:13.920
<v Speaker 1>up the book because I know you're going to love it.

1120
01:01:14.000 --> 01:01:17.880
<v Speaker 1>Thank you, Thank you, Thank you so much to Roxanne Camsey,

1121
01:01:18.079 --> 01:01:19.000
<v Speaker 1>Thank you for being here.

1122
01:01:19.400 --> 01:01:22.039
<v Speaker 3>It was just a joy. Yeah, that was so much fun.

1123
01:01:22.320 --> 01:01:23.519
<v Speaker 3>I'm so glad we talked.

1124
01:01:23.599 --> 01:01:26.639
<v Speaker 1>Thank you me too, and everybody listening. Thank you for

1125
01:01:26.679 --> 01:01:29.199
<v Speaker 1>coming back week after week. I'm really looking forward to

1126
01:01:29.280 --> 01:01:30.719
<v Speaker 1>the next time we all get together.

1127
01:01:31.000 --> 01:01:31.840
<v Speaker 3>To talk to Artie
