WEBVTT - #1993 Alzheimer's: Could There Be A Cure? - Dr. Bill Sullivan

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<v Speaker 1>Okat a team. It's it's the project. Doctor.

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<v Speaker 2>Bill has been away. He's been surfing. He's been No,

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<v Speaker 2>he hasn't. I don't know where he's been, but he's

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<v Speaker 2>been trying to avoid me, let's be honest, and somehow

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<v Speaker 2>I secured him back on the show for.

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<v Speaker 1>You, and he's doing it for you, not me. So

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<v Speaker 1>welcome back, man. Where you been?

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<v Speaker 3>Hey, it's great to be back. I'm glad that you

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<v Speaker 3>didn't get to you know, bored without me. Well, you

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<v Speaker 3>have just been trying to absorb some family time this

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<v Speaker 3>summer and I had a few conferences doing some traveling,

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<v Speaker 3>so it was a little tough to get our schedules

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<v Speaker 3>to aligne. But it's fantastic to be welcomed back, and

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<v Speaker 3>I hope to do a couple more shows before the

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<v Speaker 3>end of the year.

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<v Speaker 1>Yeah, let's do that.

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<v Speaker 2>What's your favorite thing to do when you're not being productive,

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<v Speaker 2>when you're being unproductive, when you don't care about crossing

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<v Speaker 2>the t's, dotting the eyes or ticking the boxes, what's

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<v Speaker 2>your favorite thing to do in terms of just chilling

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<v Speaker 2>out for you?

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<v Speaker 3>I guess I would have to say something like just

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<v Speaker 3>going to the beach where there is a bar right

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<v Speaker 3>next to the shore, just grab a cold one and

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<v Speaker 3>stare out into the sea.

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<v Speaker 2>And think about what is Are you on any level

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<v Speaker 2>philosophical or like we all know you very logical, rational, scientific,

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<v Speaker 2>But is there a part of you that's just like,

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<v Speaker 2>what's it all about?

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<v Speaker 3>Well, it depends how many beers I have.

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<v Speaker 2>As a correlation, as one goes up, the other goes up.

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<v Speaker 3>That's exactly right. But yeah, for the sake of argument, yeah,

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<v Speaker 3>you do start to think about some of those things.

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<v Speaker 3>But basically what I try to do when I'm in

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<v Speaker 3>that environment is keep my mind clear. Yeah, you know,

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<v Speaker 3>like most people, my default brain just runs in all

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<v Speaker 3>sorts of different directions all the time, and that gets

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<v Speaker 3>a little exhausting. So it's nice just to be able

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<v Speaker 3>to make yourself aware of the present moment, the beauty

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<v Speaker 3>of your surroundings, you know, the piece, and and just

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<v Speaker 3>kind of be in the present as they say, be

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<v Speaker 3>here now kind of thing.

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<v Speaker 2>I love that there's a difference between busy, chaos and

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<v Speaker 2>busy okay, because sometimes busy is stressful, anxiety producing, unenjoyable,

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<v Speaker 2>and sometimes busy is like creative and fun, right sure.

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<v Speaker 3>Sure, And I think John Lennon had a great quote like,

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<v Speaker 3>you know, life is what happens, you know, while you're

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<v Speaker 3>making all these plans. Yeah, so it's really nice to

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<v Speaker 3>step back from all of the I got to do this,

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<v Speaker 3>I got to do that, I'm worrying about this, and

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<v Speaker 3>just actually experience your existence.

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<v Speaker 1>Yes, so true.

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<v Speaker 2>It's like life happens despite me, Like life was here

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<v Speaker 2>before me. Life's going to be here. It depends how

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<v Speaker 2>we're defining life, I guess. But the human experience of life,

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<v Speaker 2>it's like it ain't going anywhere.

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<v Speaker 1>You know, we'll come and go.

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<v Speaker 2>But do you get with your and I know we're

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<v Speaker 2>going to have a particular chat this is not it,

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<v Speaker 2>but we'll get there.

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<v Speaker 1>Do you with your workload.

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<v Speaker 2>And your responsibilities, do you get particularly stressed or are

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<v Speaker 2>you not really that personality top.

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<v Speaker 3>Well, I think, as most of your audience knows, I'm

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<v Speaker 3>a scientist, so that can be a very stressful job

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<v Speaker 3>because you always need to acquire funding to support your

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<v Speaker 3>science and the team that is doing the work in

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<v Speaker 3>the lab. But I can't imagine doing anything else, Craig.

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<v Speaker 3>I mean, it's like being an explorer. It's like being

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<v Speaker 3>paid to solve mysteries. And puzzles, and it's a job

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<v Speaker 3>where no two days are the same. And you know,

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<v Speaker 3>monotony does not exist in my line of work because

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<v Speaker 3>we are at the edge of human knowledge and we're

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<v Speaker 3>trying to push that frontier forward. And there's no greater

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<v Speaker 3>task I can think of to do on a daily basis,

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<v Speaker 3>except maybe being a podcast aster like you that would

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<v Speaker 3>have such rewards. You know, because even though I'm getting

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<v Speaker 3>a kick out of, you know, exploring the unknown, I

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<v Speaker 3>work in biomedicine, so the things that we discover could

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<v Speaker 3>potentially down the road sometime lead to some very significant

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<v Speaker 3>and clinically relevant therapeutic that's going to help people. And

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<v Speaker 3>you know, if that doesn't get you out of bed

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<v Speaker 3>every morning, yes, I don't know what will.

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<v Speaker 2>Has there been anything significant over your research journey, your

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<v Speaker 2>creative investigating, your curiosity, or your curious career that you've

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<v Speaker 2>done a total one ID on something that you went, No,

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<v Speaker 2>this is true, this is this is how it works,

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<v Speaker 2>and then maybe a decade later, you went, doesn't really

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<v Speaker 2>work like that.

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<v Speaker 1>I just thought it did. Oh.

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<v Speaker 3>I think that's kind of the that's science in a nutshell.

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<v Speaker 3>I mean, it's like all these great things we do

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<v Speaker 3>discover you. With continued research, we find either nuances to it,

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<v Speaker 3>or sometimes we totally turn the idea on its head.

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<v Speaker 3>In my own field as a parasitologist working on this

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<v Speaker 3>brain parasite toxoplasma GANDHII, the overriding themes when I was

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<v Speaker 3>a young graduate student was that this was a fairly

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<v Speaker 3>benign parasite. Yeah, it gets in the brain, but it

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<v Speaker 3>doesn't seem to be doing anything as long as you're healthy.

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<v Speaker 3>It becomes a significant problem only when you're immune compromised,

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<v Speaker 3>and in that case it can potentially kill you. So

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<v Speaker 3>that was the dogma when I was in graduate school.

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<v Speaker 3>But as of maybe ten fifteen years ago, new studies

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<v Speaker 3>are coming out suggesting that even in healthy people, this

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<v Speaker 3>brain parasite is maybe not benign, and it could be

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<v Speaker 3>causing predisposition to schizophrenia or other neuropsychoses. And that was

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<v Speaker 3>something we really didn't appreciate when I was learning about

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<v Speaker 3>this parasite in the beginning. So all sorts of I mean,

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<v Speaker 3>that's not like turning something on its head, per se,

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<v Speaker 3>but it's learning something brand new that no one really

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<v Speaker 3>gave a second thought to, and that's really exciting for

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<v Speaker 3>me and my laboratory got engaged in some of those

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<v Speaker 3>studies to show that the neuroinflammatory component of the disease

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<v Speaker 3>is probably the root cause of some of these behavioral

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<v Speaker 3>changes that we see in infected animals and humans, and

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<v Speaker 3>that was one of the most rewarding findings that has

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<v Speaker 3>come out of my laboratory.

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<v Speaker 2>What I mean, I'm sure it's far and wide, but

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<v Speaker 2>in a nutshell, what is the most effective treatment for

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<v Speaker 2>that inflammation in the Brian Is it just an antibiotic,

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<v Speaker 2>is it a string of things?

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<v Speaker 1>Or am I off the mark?

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<v Speaker 3>No, You're not off the mark. Neuroinflammation is linked to

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<v Speaker 3>a variety of different diseases. So there are some therapeutics

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<v Speaker 3>that are trying to be developed where they can do

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<v Speaker 3>like a targeted you know, quelling of that neuroinflammation, because

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<v Speaker 3>it's always a catch twenty two. If that neuroinflammation is

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<v Speaker 3>caused by an infectious agent and you get rid of it,

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<v Speaker 3>there's a risk that the infection could roar back, maybe

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<v Speaker 3>in a very dangerous way, or some unrelated infection. You know,

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<v Speaker 3>you could be susceptible to that. It's to catch twenty two.

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<v Speaker 3>It's some of these immunotherapies that try to dampen the

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<v Speaker 3>immune system, and people who have allergies or autoimmune disease.

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<v Speaker 3>You can do that and alleviate those symptoms, but you

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<v Speaker 3>make those individuals more vulnerable to infection because their immune

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<v Speaker 3>system is modestly depressed.

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<v Speaker 2>Yes, yes, I didn't plan to tell you this, but

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<v Speaker 2>I'm going to tell you this because it's vaguely in

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<v Speaker 2>the ballpark. But the last month or so, I've felt rubbish, right,

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<v Speaker 2>And I try to not let people know that because

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<v Speaker 2>I don't think not because I don't want people to know,

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<v Speaker 2>but because I don't want to turn up and do

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<v Speaker 2>my job and say, by the way, I feel trash.

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<v Speaker 2>So you're going to get a three out of ten podcast, right,

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<v Speaker 2>or whatever it is, whatever it is the thing that

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<v Speaker 2>I'm doing. But I've had this, just this, you know,

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<v Speaker 2>onslaught of weird and different symptoms. And I thought I

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<v Speaker 2>had diabetes because I was thirsty all the time, and

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<v Speaker 2>which I don't eat rubbish. I eate two meals a day.

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<v Speaker 2>I don't drink beer, I don't drink soft drink. You know,

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<v Speaker 2>like that, from a behavioral point of view, the chance

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<v Speaker 2>of me and from a physiological point of view, fit

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<v Speaker 2>I'm strong, I'm healthy, I'm lean.

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<v Speaker 1>It doesn't make sense.

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<v Speaker 2>But my dad had diabetes and I went, well, mate,

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<v Speaker 2>or has diabetes. So I'm like, well, maybe this is

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<v Speaker 2>genetic and this is me now so, and then a

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<v Speaker 2>whole bunch of other things like weeing a bunch and

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<v Speaker 2>I'm like, oh, maybe I've got prostate issues and all

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<v Speaker 2>these old man things.

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<v Speaker 1>I'm like, really, I don't know. Anyway, went had all

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<v Speaker 1>of these tests done and all of that.

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<v Speaker 2>Good, like, you're not a diabetic, you're not even nearly

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<v Speaker 2>a diabetic, you don't have prostate issues, your PSA is low,

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<v Speaker 2>don't have like your cholesterol's low, your blood pressure is low.

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<v Speaker 2>And then they said but and then I had to

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<v Speaker 2>have a CT scan on my head and they went, well,

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<v Speaker 2>you've got.

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<v Speaker 1>Basically the whole right side of your face.

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<v Speaker 2>The sinuses are blocked and I was getting constant blocked

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<v Speaker 2>years right and you've got an infection in your head

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<v Speaker 2>that you probably had for months.

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<v Speaker 1>And I'm like, could that explain all this?

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<v Speaker 2>And they go yes, I go because I feel like

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<v Speaker 2>dog shit, and they went, well, that could be it.

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<v Speaker 1>And then so I have for the last six months.

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<v Speaker 1>Doc had.

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<v Speaker 2>Every day of every day, not one day without it

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<v Speaker 2>where my ears would block, and sometimes it be one ear,

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<v Speaker 2>sometimes it'd be two. And I did a speaking gigla

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<v Speaker 2>not last week, the week before. Yeah, so about nine

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<v Speaker 2>days ago, ten days ago, and both of my ears blocked.

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<v Speaker 2>Before the presentation, I had to talk for two and

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<v Speaker 2>a half hours with two totally blocked years.

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<v Speaker 1>And you can't. I can't hear anyone. I can't. My

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<v Speaker 1>voice is reverberating in my head. It is so loud

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<v Speaker 1>that if I say, go to the toilet.

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<v Speaker 2>Where I'm in a quiet room, I can hear my

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<v Speaker 2>heartbeat in my head. I can just stand still and

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<v Speaker 2>I could tell you what my current heart rate is

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<v Speaker 2>just by looking at my watch and you know, doing

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<v Speaker 2>fifteen seconds counting the beats, multiplying before I can go

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<v Speaker 2>my heart rate sixty at the moment or whatever, right,

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<v Speaker 2>And it just makes communication and interaction and focusing almost impossible.

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<v Speaker 1>So I've had that forever.

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<v Speaker 3>Yeah, so I'm sorry you went through that ordeal. But

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<v Speaker 3>did you get legs amuntombiotics?

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<v Speaker 2>Yeah, so, I've got doxy cycling. I think that's what

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<v Speaker 2>it's called. Is that anyway? And so I started on

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<v Speaker 2>that I'm currently I think today was my fourth or

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<v Speaker 2>fifth and for the first time in six months, I've

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<v Speaker 2>had touchwood. I don't want to get ahead of myself,

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<v Speaker 2>but for about forty eight hours, I haven't had a

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<v Speaker 2>blocked year, which.

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<v Speaker 1>Is like a miracle.

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<v Speaker 2>And it's just like and it's this sounds weird and

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<v Speaker 2>it's but talking to you now is so awesome because

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<v Speaker 2>I can hear you clearly, my ear is not blocked.

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<v Speaker 1>And then it's me.

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<v Speaker 3>But just because you can hear.

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<v Speaker 2>No, you're definitely therapeutic, so with Jesus for doctor Bill.

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<v Speaker 2>But here's the thing though, when all this shit happens, right, so,

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<v Speaker 2>there's this physiological stuff that's gone on but also impacts

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<v Speaker 2>your brain because you've got inflammation, you know, right up there,

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<v Speaker 2>and then it then it affects your psychology. And then

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<v Speaker 2>I would start to get nervous ten fifteen minutes before

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<v Speaker 2>a gig, thinking please don't block, please don't block, please

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<v Speaker 2>don't block, and invariably they would block, and it's like.

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<v Speaker 1>I almost talk myself into it.

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<v Speaker 2>So anyway, yeah, that's that's where I'm at, and it's

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<v Speaker 2>it seems to be it seems to be on the end,

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<v Speaker 2>which is so good. It's so funny when one little

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<v Speaker 2>thing and it's well, seems little, but it can just

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<v Speaker 2>make such a big difference to everything from psychology to emotion,

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<v Speaker 2>to sociology, to physiology to energy to you know, function,

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<v Speaker 2>Like it's like your body is so finely tuned.

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<v Speaker 3>Yeah, it's almost it's hard to believe that. You know,

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<v Speaker 3>before nineteen thirties, antibiotics didn't exist. You know, people literally

0:12:32.679 --> 0:12:36.240
<v Speaker 3>died from a lot of these infections. And yeah, we

0:12:36.360 --> 0:12:39.040
<v Speaker 3>really take that group of drugs for granted, and they

0:12:39.120 --> 0:12:43.880
<v Speaker 3>really are small miracles, so imagine but continues working for

0:12:43.960 --> 0:12:45.920
<v Speaker 3>you and you make a full recovery soon.

0:12:46.120 --> 0:12:46.559
<v Speaker 1>Thanks sir.

0:12:47.360 --> 0:12:50.800
<v Speaker 2>Yeah, I yeah, it's like literally I thought about that.

0:12:50.840 --> 0:12:53.040
<v Speaker 2>I thought about somebody with this two hundred years ago,

0:12:53.080 --> 0:12:56.040
<v Speaker 2>what happened to them because they hadn't taken anything that

0:12:56.120 --> 0:12:58.880
<v Speaker 2>was going to kill the infection, or they didn't have

0:12:58.920 --> 0:13:01.319
<v Speaker 2>access to that, or they didn't know what killed And

0:13:01.800 --> 0:13:04.440
<v Speaker 2>you know, I'm like, maybe someone would have died probably,

0:13:04.520 --> 0:13:04.800
<v Speaker 2>you know.

0:13:04.960 --> 0:13:09.160
<v Speaker 3>So now, well there's a reason why life expectancy was

0:13:09.280 --> 0:13:14.079
<v Speaker 3>like forty years of age prior to the discovery of

0:13:14.120 --> 0:13:15.439
<v Speaker 3>the germ theory of disease.

0:13:16.080 --> 0:13:18.160
<v Speaker 1>Yeah, yeah, yeah, amazing.

0:13:18.600 --> 0:13:22.319
<v Speaker 2>Now speaking of research and speaking of breakthroughs and speaking

0:13:22.360 --> 0:13:28.800
<v Speaker 2>of potential treatments for something which is very common unfortunately

0:13:29.120 --> 0:13:35.600
<v Speaker 2>in our population, Alzheimer's is being or they're looking at

0:13:35.640 --> 0:13:38.679
<v Speaker 2>treating Alzheimer's with lithium, or they are doing that or

0:13:39.240 --> 0:13:40.920
<v Speaker 2>I didn't do a deep dive because I wanted you

0:13:40.960 --> 0:13:42.920
<v Speaker 2>to tell me. I just know that there's something interesting

0:13:42.960 --> 0:13:43.960
<v Speaker 2>happening in that space.

0:13:45.080 --> 0:13:48.920
<v Speaker 3>Yeah, there's been a very exciting study that came out

0:13:48.960 --> 0:13:51.080
<v Speaker 3>back in August, and I thought it would be really

0:13:51.120 --> 0:13:55.240
<v Speaker 3>wonderful to talk about it because Alzheimer's has touched so

0:13:55.360 --> 0:13:59.320
<v Speaker 3>many lives, either people developing it themselves or they have

0:13:59.400 --> 0:14:01.880
<v Speaker 3>a friend or a loved one who's suffering from it.

0:14:03.040 --> 0:14:07.280
<v Speaker 3>That and there's no cure, which makes the terror even

0:14:07.360 --> 0:14:12.920
<v Speaker 3>more amplified. But like you said, Alzheimer's it's one of

0:14:12.920 --> 0:14:17.640
<v Speaker 3>the most common forms of dementia and it's terrifying if

0:14:17.640 --> 0:14:23.120
<v Speaker 3>you've ever witnessed someone's succumbing to these symptoms of you know,

0:14:23.280 --> 0:14:29.960
<v Speaker 3>gradually losing their memory, gradually losing their cognitive abilities, their

0:14:30.040 --> 0:14:35.360
<v Speaker 3>capacity for reason and good decision making, developing paranoia, and

0:14:35.640 --> 0:14:39.280
<v Speaker 3>all sorts of horrible things as this disease progresses and

0:14:40.160 --> 0:14:44.640
<v Speaker 3>slowly erodes the brain. But we're talking about fifty seven

0:14:44.960 --> 0:14:48.960
<v Speaker 3>million people worldwide, which is a substantial number of people,

0:14:49.560 --> 0:14:51.920
<v Speaker 3>and as more people we were just talking about, like

0:14:52.000 --> 0:14:55.800
<v Speaker 3>the average life expectancy age, it's much higher these days,

0:14:56.280 --> 0:15:01.920
<v Speaker 3>and old age is a significant factor Alzheimer's. So as

0:15:02.040 --> 0:15:06.760
<v Speaker 3>our population continues to live into these advanced ages, Alzheimer's

0:15:06.800 --> 0:15:12.160
<v Speaker 3>is probably going to become even more common. So a

0:15:12.160 --> 0:15:16.240
<v Speaker 3>lot of researchers are doubling down on investing into trying

0:15:16.240 --> 0:15:20.120
<v Speaker 3>to find a new treatment for this terrible and poorly

0:15:20.200 --> 0:15:25.680
<v Speaker 3>understood disease. So in addition to the human toll that

0:15:25.760 --> 0:15:30.119
<v Speaker 3>it takes, there's a significant economic toll associated with Alzheimer's

0:15:30.200 --> 0:15:34.720
<v Speaker 3>disease too. So as I was researching this particular study

0:15:34.720 --> 0:15:36.320
<v Speaker 3>that came out in August because I want to do

0:15:36.440 --> 0:15:40.560
<v Speaker 3>a popular science article about it, I was struck to

0:15:40.720 --> 0:15:44.240
<v Speaker 3>find that in twenty nineteen and an estimate was made

0:15:44.560 --> 0:15:47.400
<v Speaker 3>on what the global cost of Alzheimer's is and it's

0:15:47.520 --> 0:15:52.280
<v Speaker 3>one point three trillion dollars in US money. Wow, So

0:15:52.680 --> 0:15:55.840
<v Speaker 3>it's just staggering. You can think about what that kind

0:15:55.880 --> 0:15:59.720
<v Speaker 3>of money could be going towards if it wasn't dealing

0:15:59.840 --> 0:16:03.120
<v Speaker 3>with the aftermath of Alzheimer's and what it does to people.

0:16:04.160 --> 0:16:08.840
<v Speaker 3>So just really underscores the urgency to come up with

0:16:08.880 --> 0:16:11.800
<v Speaker 3>new treatments. And that's why this study which came out

0:16:11.880 --> 0:16:17.680
<v Speaker 3>of Harvard Medical School led by a geneticist and neuroscientist

0:16:18.040 --> 0:16:22.600
<v Speaker 3>named Bruce Yank Nurse. So he and his team have

0:16:22.680 --> 0:16:26.080
<v Speaker 3>come up with this connection that hasn't been seen before

0:16:26.840 --> 0:16:33.120
<v Speaker 3>with lithium in the brain and the pathogenesis of Alzheimer's.

0:16:34.000 --> 0:16:38.520
<v Speaker 3>And the study was important for well several major reasons.

0:16:38.880 --> 0:16:42.760
<v Speaker 3>The first of which is no one really appreciated that

0:16:42.840 --> 0:16:47.280
<v Speaker 3>the element lithium had a major role in the function

0:16:47.400 --> 0:16:51.120
<v Speaker 3>of the brain. Yes, and this study kind of showed that,

0:16:51.200 --> 0:16:53.520
<v Speaker 3>and we can walk through some of the details why.

0:16:54.760 --> 0:16:58.680
<v Speaker 3>The second major feature is that it could lead to

0:16:58.720 --> 0:17:02.400
<v Speaker 3>new treatments. This is a not discovery, first time it

0:17:02.480 --> 0:17:06.119
<v Speaker 3>was ever seen, and if it does hold up, it

0:17:06.160 --> 0:17:10.080
<v Speaker 3>could lead to a very rapid progression of new treatments

0:17:10.359 --> 0:17:13.639
<v Speaker 3>for Alzheimer's there's very few at the moment. And it

0:17:13.680 --> 0:17:16.880
<v Speaker 3>can also lead to a new diagnostic tool because now

0:17:16.920 --> 0:17:20.680
<v Speaker 3>we know that you know, with lithium being connected to Alzheimer's.

0:17:20.680 --> 0:17:23.399
<v Speaker 3>You can measure that element in the blood and maybe

0:17:23.440 --> 0:17:28.520
<v Speaker 3>come up with a new screening tool to identify Alzheimer's

0:17:28.520 --> 0:17:32.959
<v Speaker 3>in people before the more dramatic symptoms kick in, and

0:17:33.000 --> 0:17:35.760
<v Speaker 3>that would give you the advantage of treating early and

0:17:35.840 --> 0:17:40.040
<v Speaker 3>maybe slowing progression of disease, because once it gets going,

0:17:40.080 --> 0:17:41.919
<v Speaker 3>there's really not much we can do about it.

0:17:42.440 --> 0:17:47.159
<v Speaker 2>Yeah, So so to have almost like a preemptive stroke

0:17:47.320 --> 0:17:51.879
<v Speaker 2>or a preventative measure before it kind of accelerates, so

0:17:52.040 --> 0:17:52.600
<v Speaker 2>tykes called.

0:17:53.760 --> 0:17:56.600
<v Speaker 3>Yeah, Yeah, there's drugs that kind of like put obstacles

0:17:56.640 --> 0:17:59.359
<v Speaker 3>in the in the way of the disease progression. And

0:17:59.480 --> 0:18:02.119
<v Speaker 3>it's not eliminated. It's not going to stop it, but

0:18:02.200 --> 0:18:05.200
<v Speaker 3>it will slow it down and maybe give it'll certainly

0:18:05.600 --> 0:18:08.240
<v Speaker 3>extend the quality of life and maybe even give these

0:18:08.240 --> 0:18:13.080
<v Speaker 3>individuals some extra extra years.

0:18:12.840 --> 0:18:15.760
<v Speaker 2>What's what's the mechanism? Like, do you know how it works?

0:18:15.840 --> 0:18:19.080
<v Speaker 2>Like what they did they come up with? Obviously it's

0:18:19.119 --> 0:18:22.360
<v Speaker 2>doing something good, or it's mitigating something or slowing something

0:18:22.480 --> 0:18:24.119
<v Speaker 2>or what did they find?

0:18:24.200 --> 0:18:24.360
<v Speaker 3>Then?

0:18:24.480 --> 0:18:25.800
<v Speaker 1>What is it that causes it?

0:18:27.119 --> 0:18:30.560
<v Speaker 3>Right? So I'll tell you a little bit about Alzheimer's first,

0:18:30.640 --> 0:18:33.280
<v Speaker 3>you can so you can understand the study a little better.

0:18:33.680 --> 0:18:36.600
<v Speaker 3>So this was a disease that was first described in

0:18:36.640 --> 0:18:40.040
<v Speaker 3>the early nineteen hundreds, but the trademark feature was that

0:18:40.080 --> 0:18:43.760
<v Speaker 3>in these people who were suffering from dementia, memory loss,

0:18:43.920 --> 0:18:48.480
<v Speaker 3>and basically, you know, even not being able to remember

0:18:48.560 --> 0:18:51.080
<v Speaker 3>their name or their loved ones or where they lived,

0:18:51.520 --> 0:18:57.600
<v Speaker 3>you know, very significant things. When these individuals, you know,

0:18:57.680 --> 0:19:03.439
<v Speaker 3>pass on, investigations of their brain started to commence. So

0:19:03.520 --> 0:19:07.480
<v Speaker 3>in the autopsies, you don't need to be a scientist

0:19:07.560 --> 0:19:11.760
<v Speaker 3>or doctor to identify which brain had Alzheimer's and which

0:19:11.800 --> 0:19:17.080
<v Speaker 3>brain did not. These brains look dramatically different. They're usually shrunken,

0:19:17.280 --> 0:19:21.920
<v Speaker 3>and they they're lacking some gray matter. But under the microscope,

0:19:21.960 --> 0:19:26.760
<v Speaker 3>what you will also see are these things called amyloid plaques,

0:19:26.920 --> 0:19:30.000
<v Speaker 3>and these are made of a protein called amyloid that

0:19:30.160 --> 0:19:35.560
<v Speaker 3>is not being processed correctly. They form these aggregates that

0:19:35.640 --> 0:19:38.680
<v Speaker 3>get in between the brain cells and kind of mess

0:19:38.760 --> 0:19:43.520
<v Speaker 3>up their communicating with one another. So it really disrupts

0:19:44.160 --> 0:19:47.919
<v Speaker 3>brain thought patterns, and that explains a lot of the

0:19:47.960 --> 0:19:53.119
<v Speaker 3>cognitive defects that we see in Alzheimer's patients. So knowing

0:19:53.200 --> 0:19:57.480
<v Speaker 3>that these plaques form is a big step forward. But

0:19:57.560 --> 0:20:01.679
<v Speaker 3>We've known that for almost I guess one hundred years now,

0:20:02.119 --> 0:20:05.639
<v Speaker 3>and we still haven't come up with really, you know,

0:20:06.480 --> 0:20:09.640
<v Speaker 3>decent treatments for them. We don't really have a way

0:20:09.680 --> 0:20:13.639
<v Speaker 3>to get rid of them. One of the older treatments

0:20:13.680 --> 0:20:19.040
<v Speaker 3>for Alzheimer's was cholinesterase inhibitors, and that modulates neurotransmitters in

0:20:19.080 --> 0:20:23.320
<v Speaker 3>the brain to try to preserve memory a little bit,

0:20:24.320 --> 0:20:28.240
<v Speaker 3>preserve learning ability and motor skills as well. But the

0:20:28.320 --> 0:20:31.840
<v Speaker 3>newer therapies are monoclonal antibodies, and these are directed to

0:20:32.080 --> 0:20:37.600
<v Speaker 3>the amyloid proteins themselves, so patients can be given these antibodies.

0:20:38.000 --> 0:20:41.639
<v Speaker 3>They will bind up the plaques and then sometimes the

0:20:41.680 --> 0:20:46.240
<v Speaker 3>immune system will help even you degrade the plaque to

0:20:46.320 --> 0:20:50.359
<v Speaker 3>a degree. And whether these are really effective on a

0:20:50.440 --> 0:20:53.959
<v Speaker 3>large scale is a little The data is a little mixed.

0:20:54.240 --> 0:20:57.240
<v Speaker 3>They do seem to respond better in some people than others.

0:20:58.160 --> 0:21:00.560
<v Speaker 3>But the bottom line, the upshot of at all is

0:21:00.600 --> 0:21:04.720
<v Speaker 3>that we really don't have excellent treatments for Alzheimer's and

0:21:04.760 --> 0:21:08.520
<v Speaker 3>these patients are really in need of a breakthrough discovery,

0:21:08.920 --> 0:21:13.320
<v Speaker 3>and this study linking lithium to it could be that answer.

0:21:14.320 --> 0:21:17.920
<v Speaker 2>How is it used like that I don't know. Do

0:21:18.000 --> 0:21:20.160
<v Speaker 2>they get in as a tablets, do they get injected?

0:21:21.080 --> 0:21:23.600
<v Speaker 2>How is lithium used as a treatment.

0:21:24.560 --> 0:21:27.160
<v Speaker 3>Oh well, that's I'm glad you brought that up, because

0:21:27.320 --> 0:21:31.480
<v Speaker 3>the study did not look at how lithium works in

0:21:31.600 --> 0:21:35.920
<v Speaker 3>human patients just yet. So this study was it did

0:21:36.000 --> 0:21:41.119
<v Speaker 3>involve looking at human brains and what was going on

0:21:41.200 --> 0:21:44.000
<v Speaker 3>with lithium, and I'll explain that in a minute. But

0:21:44.160 --> 0:21:48.600
<v Speaker 3>the actual proof of concept for the utility that lithium

0:21:48.680 --> 0:21:52.159
<v Speaker 3>might have as an Alzheimer's treatment was limited to mice

0:21:52.400 --> 0:21:56.360
<v Speaker 3>so far. You know, scientists have genetically engineered a mouse

0:21:56.840 --> 0:22:02.160
<v Speaker 3>to lack a certain gene that predisposes it to Alzheimer's.

0:22:02.520 --> 0:22:06.399
<v Speaker 3>So we got this wonderful mouse model of Alzheimer's. And

0:22:06.480 --> 0:22:10.080
<v Speaker 3>as these mice age, because they have this genetic mutation,

0:22:10.760 --> 0:22:13.840
<v Speaker 3>they start to develop the same amyloid plaques and the

0:22:13.880 --> 0:22:19.200
<v Speaker 3>same deficiencies in memory learning and so on. Right, right,

0:22:19.280 --> 0:22:23.040
<v Speaker 3>So let's let's get into this lithium part.

0:22:23.160 --> 0:22:26.119
<v Speaker 1>Sure, sure, sure, So it.

0:22:26.040 --> 0:22:30.240
<v Speaker 3>Was known through other research that these amyloid plaques they're

0:22:30.320 --> 0:22:34.199
<v Speaker 3>kind of sticky, and you know, I would hope that

0:22:34.240 --> 0:22:38.440
<v Speaker 3>your audience knows that metals are part of our diet,

0:22:38.600 --> 0:22:43.560
<v Speaker 3>you know, like calcium, iron, copper, you know, even like

0:22:43.640 --> 0:22:47.600
<v Speaker 3>sodium potassium. These these are metals, and a lot of people,

0:22:47.720 --> 0:22:49.639
<v Speaker 3>you know, they look at you funny if you say, like,

0:22:49.760 --> 0:22:53.400
<v Speaker 3>you know, you're eating metal in your diet, and that's

0:22:53.440 --> 0:22:57.160
<v Speaker 3>perfectly fine. You know, you have trace metals, trace elements

0:22:57.160 --> 0:23:00.920
<v Speaker 3>in your food that actually play a role in your biology.

0:23:01.240 --> 0:23:04.399
<v Speaker 3>A lot of enzymes in your cells require some of

0:23:04.440 --> 0:23:08.640
<v Speaker 3>these metals in order to function. And it turns out

0:23:08.680 --> 0:23:12.720
<v Speaker 3>that previous research was finding that these amyloid plaques could

0:23:12.800 --> 0:23:15.480
<v Speaker 3>bind some of the metals that are supposed to be

0:23:15.560 --> 0:23:20.840
<v Speaker 3>operating in your brain. So these scientists that Harvard wondered, well,

0:23:20.880 --> 0:23:23.440
<v Speaker 3>why don't we look at all the metals that people

0:23:23.520 --> 0:23:28.520
<v Speaker 3>would possibly ingest and see if there's a difference between

0:23:29.000 --> 0:23:33.600
<v Speaker 3>an Alzheimer's brain and a normal brain. OK. So they

0:23:33.640 --> 0:23:38.280
<v Speaker 3>tested like twenty seven different metals and there pretty much

0:23:38.400 --> 0:23:42.240
<v Speaker 3>wasn't any difference between a diseased brain and a normal brain,

0:23:42.800 --> 0:23:46.680
<v Speaker 3>with the exception of lithium. So it turns out that

0:23:46.800 --> 0:23:51.399
<v Speaker 3>people with Alzheimer's their brain had very little and possibly

0:23:51.520 --> 0:23:56.040
<v Speaker 3>no detectable lithium in it, whereas a normal brain did

0:23:56.080 --> 0:24:00.280
<v Speaker 3>have lithium, and that was a little surprising because it's

0:24:00.440 --> 0:24:05.520
<v Speaker 3>been underappreciated what exactly lithium does in our brain, despite

0:24:05.560 --> 0:24:09.240
<v Speaker 3>the fact that we've known for some time, and in

0:24:09.280 --> 0:24:14.879
<v Speaker 3>fact it's a clinically, it's a prescribed treatment. There's a

0:24:14.880 --> 0:24:18.679
<v Speaker 3>certain form of lithium that's given for bipolar disorder. You know,

0:24:18.720 --> 0:24:21.480
<v Speaker 3>you may be aware of this in your psychological studies

0:24:21.720 --> 0:24:27.240
<v Speaker 3>and your own research, but bipolar disorder can be mitigated

0:24:27.280 --> 0:24:32.920
<v Speaker 3>to a degree with high doses of lithium. And when

0:24:32.920 --> 0:24:37.040
<v Speaker 3>they saw that Alzheimer's brains were lacking lithium, I guess

0:24:37.040 --> 0:24:39.600
<v Speaker 3>the light bulb went off in their head and they're like, wait,

0:24:39.640 --> 0:24:43.199
<v Speaker 3>we could really be onto something here, because we know,

0:24:43.440 --> 0:24:48.439
<v Speaker 3>for example, these dietary metals play important roles in our biology,

0:24:48.480 --> 0:24:52.000
<v Speaker 3>including the cells that make up the brain, and if

0:24:52.040 --> 0:24:55.639
<v Speaker 3>they are suddenly without lithium, and it's important for something

0:24:55.640 --> 0:24:58.280
<v Speaker 3>in the brain, that could explain a lot of the

0:24:58.320 --> 0:25:04.000
<v Speaker 3>symptoms that these people are that these Alzheimer's patients are experiencing.

0:25:05.560 --> 0:25:08.320
<v Speaker 2>Okay, So for those of us who aren't scientists and

0:25:09.040 --> 0:25:12.800
<v Speaker 2>do research and understand the methodology and the protocol and

0:25:12.840 --> 0:25:16.679
<v Speaker 2>the steps. So when you make a I know this

0:25:16.760 --> 0:25:19.920
<v Speaker 2>is super fundamental for you. But when you make a

0:25:19.960 --> 0:25:21.919
<v Speaker 2>discovery like that, you go, oh, there seems to be

0:25:21.960 --> 0:25:25.320
<v Speaker 2>some kind of correlation between lithium, or more accurately, lack

0:25:25.359 --> 0:25:29.200
<v Speaker 2>of lithium and this cognitive decline through this thing called

0:25:29.200 --> 0:25:36.080
<v Speaker 2>Alzheimer's Right, So initially it must just be well, let's

0:25:36.160 --> 0:25:39.600
<v Speaker 2>try this, because you don't Let's try x amount of

0:25:39.640 --> 0:25:43.560
<v Speaker 2>whatever into this rat or mouse or whatever, and just

0:25:43.600 --> 0:25:46.720
<v Speaker 2>then see what that response is, because it must be.

0:25:47.400 --> 0:25:48.400
<v Speaker 1>High level guessing.

0:25:48.480 --> 0:25:51.119
<v Speaker 2>Really, and then you do something, you create an outcome,

0:25:51.160 --> 0:25:52.720
<v Speaker 2>and you go, all right, let's try this.

0:25:52.920 --> 0:25:54.440
<v Speaker 1>Is that essentially the process?

0:25:56.440 --> 0:25:59.159
<v Speaker 3>It can be, It can be. I mean there was

0:25:59.200 --> 0:26:05.760
<v Speaker 3>some precedent before this study. Metals were found in amyloid plaques. Okay,

0:26:06.359 --> 0:26:10.359
<v Speaker 3>so this group just said I guess they were sitting around,

0:26:10.480 --> 0:26:12.840
<v Speaker 3>maybe in lab meeting one day or at happy hour

0:26:12.960 --> 0:26:15.680
<v Speaker 3>at the pub, and just said, you know, maybe we

0:26:15.720 --> 0:26:17.760
<v Speaker 3>should look at all the metals that should be in

0:26:17.800 --> 0:26:20.400
<v Speaker 3>the brain and see if there's a difference. No one's

0:26:20.440 --> 0:26:22.439
<v Speaker 3>done that before, and this is one of the joys

0:26:22.440 --> 0:26:24.720
<v Speaker 3>of science that I was talking about earlier. Craig, You

0:26:24.800 --> 0:26:28.320
<v Speaker 3>just get this interesting question. No one's apparently done it before,

0:26:28.400 --> 0:26:31.960
<v Speaker 3>even though it seems kind of you know, simplistic in hindsight.

0:26:33.000 --> 0:26:36.560
<v Speaker 3>So let's go check it out. And that's part of

0:26:36.600 --> 0:26:40.000
<v Speaker 3>the fun of being in science. And lo and behold

0:26:40.400 --> 0:26:43.280
<v Speaker 3>what I said. They tested like twenty seven metals or something.

0:26:43.440 --> 0:26:45.960
<v Speaker 3>Twenty six of them were a bust. They didn't see

0:26:45.960 --> 0:26:49.440
<v Speaker 3>any difference. So you can imagine like testing metal after

0:26:49.480 --> 0:26:52.480
<v Speaker 3>metal and getting discouraged. But then bam, they find the

0:26:52.640 --> 0:26:57.800
<v Speaker 3>magic one, the magic one, and that just changes everything

0:26:57.840 --> 0:27:00.200
<v Speaker 3>and say, hey, we could really be onto something here.

0:27:01.119 --> 0:27:01.600
<v Speaker 1>The fact that.

0:27:02.240 --> 0:27:05.080
<v Speaker 3>Sorry, go ahead, you you got another question, Go ahead, no, no.

0:27:04.840 --> 0:27:06.240
<v Speaker 2>No, I was just gonna sign in the fact that

0:27:06.240 --> 0:27:09.840
<v Speaker 2>twenty six showed nothing is actually great news that only

0:27:09.880 --> 0:27:13.439
<v Speaker 2>one did, because that makes it abundantly clear which is

0:27:13.480 --> 0:27:16.399
<v Speaker 2>the thing that's having some kind of impact.

0:27:17.200 --> 0:27:20.360
<v Speaker 3>Yeah, exactly, or else they could have been you know,

0:27:20.640 --> 0:27:22.719
<v Speaker 3>this study could have been delayed for years as they

0:27:22.880 --> 0:27:25.639
<v Speaker 3>tried to dissect which metal was the most important or

0:27:25.720 --> 0:27:28.359
<v Speaker 3>are they working together? You're right, it could have gotten

0:27:28.400 --> 0:27:31.840
<v Speaker 3>a lot more complicated than what it currently seems to be.

0:27:33.880 --> 0:27:36.199
<v Speaker 3>So when they when they found this observation, and this

0:27:36.359 --> 0:27:39.679
<v Speaker 3>was in human brains, so this obviously has disease relevance

0:27:39.960 --> 0:27:43.280
<v Speaker 3>to humans themselves. But they took advantage of that mouse

0:27:43.320 --> 0:27:46.800
<v Speaker 3>model that I was describing earlier to see if it

0:27:46.920 --> 0:27:53.160
<v Speaker 3>also happened in mice. So people can, you know, mostly

0:27:53.280 --> 0:27:56.119
<v Speaker 3>get lithium from their diet. Okay, it's present in a

0:27:56.119 --> 0:27:59.239
<v Speaker 3>lot of fruits and vegetables, nuts and seeds, So our

0:27:59.280 --> 0:28:03.000
<v Speaker 3>brains do have a low level of lithium that is

0:28:03.040 --> 0:28:06.800
<v Speaker 3>doing something. You know, scientists aren't exactly sure what it's doing.

0:28:06.960 --> 0:28:09.639
<v Speaker 3>Is probably doing many things, but one thing's for sure.

0:28:09.960 --> 0:28:13.320
<v Speaker 3>If it's depleted, it looks like you're susceptible to Alzheimer's.

0:28:13.840 --> 0:28:16.880
<v Speaker 3>And that's exactly what happened in mice. So they took

0:28:16.920 --> 0:28:23.000
<v Speaker 3>these mouse model for Alzheimer's disease and they controlled their

0:28:23.040 --> 0:28:26.760
<v Speaker 3>diet so that they were ingesting little to know lithium

0:28:27.040 --> 0:28:30.520
<v Speaker 3>at all. And in those mice that were deprived of

0:28:30.600 --> 0:28:34.760
<v Speaker 3>lithium in their diet, they started having defects and learning

0:28:35.280 --> 0:28:38.440
<v Speaker 3>and long term memory, and lo and behold, when you

0:28:39.000 --> 0:28:43.120
<v Speaker 3>dissect their brain, they got these amyloid plaques. So just

0:28:43.120 --> 0:28:47.360
<v Speaker 3>by depriving those mice of lithium, they basically gave them

0:28:47.400 --> 0:28:48.880
<v Speaker 3>the symptoms of Alzheimer's.

0:28:50.640 --> 0:28:53.880
<v Speaker 2>Now, this is digressing, but I'm just interested. So when

0:28:53.880 --> 0:28:59.680
<v Speaker 2>we use mice, rats, whatever, we obviously there I guess,

0:28:59.800 --> 0:29:05.120
<v Speaker 2>much more easy to access than other types of brains.

0:29:06.120 --> 0:29:09.520
<v Speaker 2>Does it usually correlate quite strongly? Like what will happen

0:29:09.720 --> 0:29:13.160
<v Speaker 2>in the you know, the brain of a mouse or

0:29:13.160 --> 0:29:19.800
<v Speaker 2>a rat. Is it typically somewhat you know, closely associated

0:29:19.880 --> 0:29:23.240
<v Speaker 2>with similar responses in human brains?

0:29:23.280 --> 0:29:26.240
<v Speaker 1>Like is that why we use them? Because it's quite indicative.

0:29:27.320 --> 0:29:30.600
<v Speaker 3>Yeah, that's an excellent question. And you really do got

0:29:30.600 --> 0:29:32.560
<v Speaker 3>to answer that kind of question on a case by

0:29:32.600 --> 0:29:36.760
<v Speaker 3>case basis, because there are some models where they're really good,

0:29:37.040 --> 0:29:40.720
<v Speaker 3>the parallels are really strong, and then there's other ones

0:29:40.720 --> 0:29:44.480
<v Speaker 3>that are not. And there are there's no shortage of

0:29:44.640 --> 0:29:48.240
<v Speaker 3>drugs that have looked great in mouse models, but then

0:29:48.280 --> 0:29:51.800
<v Speaker 3>for some reason do not work in humans. And that's

0:29:51.840 --> 0:29:56.960
<v Speaker 3>probably due to different metabolism or different bioavailability or things

0:29:57.040 --> 0:29:59.600
<v Speaker 3>like that. And you do have to be particularly careful

0:29:59.600 --> 0:30:02.400
<v Speaker 3>when you're dealing with a disease like Alzheimer's because that's

0:30:02.400 --> 0:30:07.479
<v Speaker 3>affecting the brain. Yeah, lo and behold structurally, on a

0:30:07.560 --> 0:30:10.560
<v Speaker 3>more fundamental level, the rodent brain does have a lot

0:30:10.560 --> 0:30:14.680
<v Speaker 3>of similarities to the human brain. All mammalian brains do

0:30:14.720 --> 0:30:19.200
<v Speaker 3>have these similarities, but obviously we are far more cognitively

0:30:19.280 --> 0:30:23.800
<v Speaker 3>advanced than a rodent, so you do have to be

0:30:23.920 --> 0:30:28.240
<v Speaker 3>very careful when you're like drawing some comparisons between rodent

0:30:28.280 --> 0:30:33.000
<v Speaker 3>models and humans. But we can't ignore the power that

0:30:33.040 --> 0:30:36.600
<v Speaker 3>these model systems have, because we can't do a study

0:30:37.120 --> 0:30:43.440
<v Speaker 3>like lithium deprivation in humans without being deeply unethical. So

0:30:44.000 --> 0:30:48.000
<v Speaker 3>that's the advantage of these, you know, these mouse models,

0:30:48.880 --> 0:30:52.000
<v Speaker 3>and they're also very useful for the next question, which

0:30:52.440 --> 0:30:59.080
<v Speaker 3>which is, well, what if we give lithium back to

0:30:59.240 --> 0:31:03.400
<v Speaker 3>these mighty that are developing Alzheimer's and don't we don't

0:31:03.440 --> 0:31:05.320
<v Speaker 3>see a lot of lithium in their brain. What if

0:31:05.360 --> 0:31:08.640
<v Speaker 3>we give it back? What happens then? So I imagine

0:31:08.680 --> 0:31:11.800
<v Speaker 3>that was a really exciting question for that laboratory. And again,

0:31:11.840 --> 0:31:13.440
<v Speaker 3>you can't do that kind of stuff. You can't just

0:31:13.560 --> 0:31:16.280
<v Speaker 3>jump right into a human study and do that. You've

0:31:16.280 --> 0:31:18.560
<v Speaker 3>got to look and see what happens in the mouse model.

0:31:19.800 --> 0:31:24.360
<v Speaker 2>Old diseases are you know, or I think old disease,

0:31:24.440 --> 0:31:27.000
<v Speaker 2>you can correct me. But there's a can be a

0:31:27.040 --> 0:31:30.000
<v Speaker 2>genetic component, that can be a lifestyle component, you know,

0:31:30.160 --> 0:31:33.240
<v Speaker 2>like with heart disease, and with diabetes and with you know,

0:31:33.480 --> 0:31:37.560
<v Speaker 2>a myriad of diseases. What do we know about Alzheimer's

0:31:37.680 --> 0:31:42.240
<v Speaker 2>Is that purely genetic? Is it ninety percent genetic? Tempcent

0:31:42.680 --> 0:31:44.400
<v Speaker 2>lifestyle and behavior and nutrition?

0:31:44.720 --> 0:31:46.200
<v Speaker 1>Is it? What is it? Do you know?

0:31:48.200 --> 0:31:52.120
<v Speaker 3>It's it's It's unclear, and it's probably different for different people.

0:31:52.560 --> 0:31:52.760
<v Speaker 1>Yeah.

0:31:53.640 --> 0:31:56.720
<v Speaker 3>The motive, the current school of thought is that it's

0:31:56.760 --> 0:32:02.360
<v Speaker 3>a mixture between genetic and environmental influences. So there is

0:32:02.480 --> 0:32:08.520
<v Speaker 3>one particular gene that runs in families that seems to

0:32:08.720 --> 0:32:10.760
<v Speaker 3>when it's mutated in a certain way. It's called the

0:32:10.840 --> 0:32:15.000
<v Speaker 3>apoe four gene, and it's a strong risk factor because

0:32:15.000 --> 0:32:19.400
<v Speaker 3>when that gene has a certain variant, you are highly

0:32:19.400 --> 0:32:22.880
<v Speaker 3>predisposed to developing Alzheimer's, and in fact, you'll probably get

0:32:22.880 --> 0:32:25.960
<v Speaker 3>it at an earlier age than most people do, maybe

0:32:26.000 --> 0:32:29.160
<v Speaker 3>as early as in your forties, whereas most people develop

0:32:29.200 --> 0:32:33.640
<v Speaker 3>Alzheimer's in their sixties or later. So are there certainly

0:32:33.680 --> 0:32:38.280
<v Speaker 3>can be genetic susceptibilities, and then there's also environment. It's

0:32:38.360 --> 0:32:41.960
<v Speaker 3>well known that if you are a female, you're more

0:32:42.120 --> 0:32:47.360
<v Speaker 3>likely to get Alzheimer's. Age increases your risk in pre

0:32:47.440 --> 0:32:52.880
<v Speaker 3>existing conditions, including like diabetes and obesity can also increase risk.

0:32:53.440 --> 0:32:57.880
<v Speaker 3>So there's clearly some environmental aspects to it. And what

0:32:58.000 --> 0:33:00.680
<v Speaker 3>this new study just did, Craig, was suggest that there

0:33:00.760 --> 0:33:03.960
<v Speaker 3>might be a dietary aspect to it. People who don't

0:33:03.960 --> 0:33:08.600
<v Speaker 3>get enough lithium in their natural diet could perhaps be

0:33:08.680 --> 0:33:14.240
<v Speaker 3>predisposed to Alzheimer's, assuming the study turns out to be true.

0:33:15.360 --> 0:33:18.920
<v Speaker 2>And of course the exercise scientist wants to know people

0:33:18.960 --> 0:33:24.000
<v Speaker 2>who played or do play sports, you know, whether or

0:33:24.040 --> 0:33:27.840
<v Speaker 2>not it's soccer, or it's boxing, or it's MMA or

0:33:28.000 --> 0:33:33.200
<v Speaker 2>it's full contact whatever Australian rules gridiron who get a

0:33:33.240 --> 0:33:37.960
<v Speaker 2>lot of brain trauma and even traumatic brain injuries. I

0:33:38.160 --> 0:33:42.680
<v Speaker 2>would imagine, but perhaps incorrectly, that that predisposes them to

0:33:42.760 --> 0:33:45.400
<v Speaker 2>be more likely to get Alzheimer's.

0:33:46.280 --> 0:33:52.160
<v Speaker 3>Head trauma is another environmental risk factor. Yeah, absolutely, yeah, So.

0:33:53.720 --> 0:33:58.040
<v Speaker 2>Just to explain to us who don't really understand this, well,

0:33:58.200 --> 0:34:00.480
<v Speaker 2>I'm sure some of my listeners understand it better than me.

0:34:01.200 --> 0:34:04.240
<v Speaker 2>But let's say, all right, we figured this out with

0:34:05.560 --> 0:34:09.520
<v Speaker 2>We've got this clarity around the research that's come out

0:34:09.560 --> 0:34:14.120
<v Speaker 2>with mice, and this seems to be a clear indicator

0:34:14.280 --> 0:34:18.680
<v Speaker 2>of such and such. What would the timeline be if

0:34:18.719 --> 0:34:22.879
<v Speaker 2>everything went pretty well before this would be you know,

0:34:23.120 --> 0:34:25.160
<v Speaker 2>is it two years? Is it twenty years where this

0:34:25.200 --> 0:34:28.680
<v Speaker 2>would be potentially being used as a treatment in humans?

0:34:29.000 --> 0:34:31.319
<v Speaker 2>Like how long does this take? And I know it's

0:34:31.320 --> 0:34:33.080
<v Speaker 2>how long it's a bit of string, I get it.

0:34:34.000 --> 0:34:38.839
<v Speaker 2>But COVID only took ten minutes, So I mean, how

0:34:38.880 --> 0:34:42.760
<v Speaker 2>long does something like this come to you know, fruition

0:34:42.920 --> 0:34:45.320
<v Speaker 2>and be a recognized treatment.

0:34:46.040 --> 0:34:49.760
<v Speaker 3>Well, it could be something that advanswers quite quickly because

0:34:51.880 --> 0:34:55.040
<v Speaker 3>and the answer to that question actually might become a

0:34:55.080 --> 0:34:57.759
<v Speaker 3>little more clear as I talk about this second part

0:34:57.760 --> 0:35:01.640
<v Speaker 3>of this study, which was how do we possibly fix

0:35:01.760 --> 0:35:06.000
<v Speaker 3>this in the mice. What they were discovering was that

0:35:06.600 --> 0:35:11.000
<v Speaker 3>Alzheimer's brains didn't seem to have any lithium. But when

0:35:11.040 --> 0:35:13.400
<v Speaker 3>they looked more closely, what they found is that the

0:35:13.440 --> 0:35:17.600
<v Speaker 3>lithium was there, but it was trapped in these amyloid plaques,

0:35:17.640 --> 0:35:22.640
<v Speaker 3>these protein aggregations that were disrupting neuronal communication. They seemed

0:35:22.680 --> 0:35:25.759
<v Speaker 3>to sequester or gobble up the lithium that was in

0:35:25.800 --> 0:35:28.240
<v Speaker 3>the brain and kind of trap it into this entity

0:35:28.280 --> 0:35:31.640
<v Speaker 3>where it could no longer do its thing. So that's

0:35:31.680 --> 0:35:34.839
<v Speaker 3>where the lithium was going, so that creates a little

0:35:34.880 --> 0:35:36.960
<v Speaker 3>bit of a problem. If you were to give a

0:35:37.000 --> 0:35:40.520
<v Speaker 3>patient lithium, it would probably just get sucked into these

0:35:40.560 --> 0:35:45.200
<v Speaker 3>plaques and it would be useless. So these investigators had

0:35:45.239 --> 0:35:49.880
<v Speaker 3>to get really clever and they identified a different form

0:35:49.920 --> 0:35:52.960
<v Speaker 3>of lithium. It's actually a salt form which is a

0:35:53.000 --> 0:35:58.400
<v Speaker 3>slight chemical modification to the lithium. For the chemically inclined

0:35:58.440 --> 0:36:02.359
<v Speaker 3>people in your audience, it's called lithium or orotate, and

0:36:02.600 --> 0:36:06.279
<v Speaker 3>it's actually been suggested that it could be a better

0:36:06.360 --> 0:36:10.520
<v Speaker 3>alternative for the bipolar disorder condition that we talked about earlier,

0:36:10.520 --> 0:36:13.240
<v Speaker 3>because lithium, a form of lithium, is used to treat

0:36:13.280 --> 0:36:17.680
<v Speaker 3>that as well. The magical property about this salt form

0:36:17.719 --> 0:36:21.600
<v Speaker 3>of lithium, this lithium rotate, is that it appears to

0:36:21.680 --> 0:36:25.160
<v Speaker 3>do the things that lithium needs to do in the brain,

0:36:25.680 --> 0:36:29.920
<v Speaker 3>but it is immune from being sucked into those amyloid plaques.

0:36:30.000 --> 0:36:33.920
<v Speaker 3>It doesn't seem to get absorbed by the plaques. At

0:36:34.000 --> 0:36:37.120
<v Speaker 3>least that's what is seen in mice. And this is

0:36:37.160 --> 0:36:39.400
<v Speaker 3>great because it allows you to use it at a

0:36:39.520 --> 0:36:43.720
<v Speaker 3>very low dose. You don't have to overwhelm the body

0:36:43.760 --> 0:36:48.000
<v Speaker 3>with forms of lithium because that can get toxic, and

0:36:48.000 --> 0:36:51.440
<v Speaker 3>that's one of the major problems with treating bipolar disorder

0:36:51.480 --> 0:36:58.120
<v Speaker 3>with lithium is that the side effects can be really nasty.

0:36:58.200 --> 0:37:01.600
<v Speaker 3>But with this lithium rotate version, you can use a

0:37:01.680 --> 0:37:06.080
<v Speaker 3>very low dose. And the real proof in the putting

0:37:06.560 --> 0:37:11.920
<v Speaker 3>was that in these Alzheimer's mice that are genetically engineered

0:37:12.120 --> 0:37:15.879
<v Speaker 3>to develop Alzheimer's as they age, if they give this

0:37:16.040 --> 0:37:21.279
<v Speaker 3>lithium ooritate to the mice before they exhibit Alzheimer's symptoms,

0:37:21.800 --> 0:37:25.520
<v Speaker 3>they don't develop the disease, which is pretty striking as

0:37:25.560 --> 0:37:29.400
<v Speaker 3>it is, but they want one step further and said, Okay,

0:37:29.520 --> 0:37:34.200
<v Speaker 3>that's really cool, you know, really promising. But what I

0:37:34.239 --> 0:37:36.120
<v Speaker 3>think a lot of people would like to see is

0:37:36.160 --> 0:37:39.360
<v Speaker 3>what if you give lithium ooritate to mice that already

0:37:39.400 --> 0:37:44.120
<v Speaker 3>started developing symptoms of Alzheimer's. So this is why the

0:37:44.160 --> 0:37:49.160
<v Speaker 3>paper got so much publicity. This lithium ooritate in mice

0:37:49.200 --> 0:37:53.400
<v Speaker 3>that we're exhibiting Alzheimer's symptoms not only got rid of

0:37:53.440 --> 0:37:57.759
<v Speaker 3>the plaques, but it reversed the memory loss. And wow,

0:37:57.920 --> 0:38:02.279
<v Speaker 3>that is something that anyone who has had the misfortune

0:38:02.320 --> 0:38:05.839
<v Speaker 3>of witnessing a loved one suffer from Alzheimer's. That's their

0:38:05.920 --> 0:38:11.000
<v Speaker 3>dream come true. You could potentially restore the memory and

0:38:11.080 --> 0:38:16.600
<v Speaker 3>cognitive abilities in these patients with Alzheimer's, assuming this lithium

0:38:16.640 --> 0:38:20.200
<v Speaker 3>oriitate works the same way in people as it does

0:38:20.640 --> 0:38:24.600
<v Speaker 3>in this very promising mouse models. To me, that was

0:38:24.680 --> 0:38:30.120
<v Speaker 3>just like a home run story. Oh yeah, and that's

0:38:30.160 --> 0:38:33.320
<v Speaker 3>why I thought it would be worthwhile talking about today.

0:38:33.880 --> 0:38:36.920
<v Speaker 3>But by the same token, we certainly don't want anyone

0:38:36.960 --> 0:38:41.200
<v Speaker 3>in your audience running out and buying like a lithium supplement,

0:38:41.960 --> 0:38:46.360
<v Speaker 3>which are commercially available, but they're not regulated very well.

0:38:47.000 --> 0:38:49.839
<v Speaker 3>You can't be sure what you're getting. This is not

0:38:49.920 --> 0:38:53.120
<v Speaker 3>a treatment that is approved by the US FDA for

0:38:53.239 --> 0:38:57.440
<v Speaker 3>any medical condition. And like I said before, lithium can

0:38:57.480 --> 0:39:00.480
<v Speaker 3>be toxic. I mean it has caused death in some people.

0:39:00.800 --> 0:39:04.920
<v Speaker 3>So you've got to be extremely careful with any supplement

0:39:05.000 --> 0:39:10.200
<v Speaker 3>you ingest. So this study, as promising as it is,

0:39:10.239 --> 0:39:12.080
<v Speaker 3>you have to keep in mind it is limited to

0:39:12.600 --> 0:39:18.040
<v Speaker 3>mouse models so far, and like you said, there must

0:39:18.040 --> 0:39:23.440
<v Speaker 3>be a robust clinical trial conducted in people before we

0:39:23.520 --> 0:39:27.560
<v Speaker 3>get too excited, and safety profiles as well, because even

0:39:27.640 --> 0:39:30.280
<v Speaker 3>though it looks safe in the mice, this lithium oritate

0:39:30.400 --> 0:39:34.920
<v Speaker 3>could have some adverse effect in humans, We simply don't know. So,

0:39:35.040 --> 0:39:39.000
<v Speaker 3>circling back to your question, Craig, how long might we

0:39:39.080 --> 0:39:43.040
<v Speaker 3>see something? Well, it depends on how many hurdles we jump.

0:39:43.760 --> 0:39:45.880
<v Speaker 3>Is this lithium oritate safe in people?

0:39:46.360 --> 0:39:46.600
<v Speaker 1>Great?

0:39:46.680 --> 0:39:49.880
<v Speaker 3>And passes the first phase of clinical trials? Can it

0:39:49.920 --> 0:39:52.720
<v Speaker 3>actually help with Alzheimer's would be the next best question.

0:39:53.400 --> 0:39:57.440
<v Speaker 3>Maybe it does. How much do we use? You know,

0:39:57.520 --> 0:40:00.560
<v Speaker 3>are there adverse effects? These are all important questions that

0:40:00.600 --> 0:40:03.920
<v Speaker 3>have to be addressed. You know, is it more effective

0:40:03.960 --> 0:40:08.479
<v Speaker 3>than the monoclonal antibodies that are currently used to treat

0:40:08.520 --> 0:40:11.160
<v Speaker 3>Alzheimer's Because you don't want to deprive someone of taking

0:40:11.200 --> 0:40:15.200
<v Speaker 3>that medication which might help them, and risking taking a

0:40:15.280 --> 0:40:17.880
<v Speaker 3>medication which might do nothing or even make it worse.

0:40:17.920 --> 0:40:21.280
<v Speaker 3>You know, that's a possibility too. We've seen some really

0:40:21.360 --> 0:40:25.720
<v Speaker 3>weird things happen in mice that don't hold up in humans.

0:40:26.440 --> 0:40:29.520
<v Speaker 2>Yeah, And also I guess over the long term, like

0:40:29.600 --> 0:40:31.640
<v Speaker 2>it might be great for a month or three months,

0:40:31.640 --> 0:40:34.560
<v Speaker 2>but maybe over two or three years we find out

0:40:34.640 --> 0:40:38.040
<v Speaker 2>something that's has a long term negative impact that we

0:40:38.080 --> 0:40:39.400
<v Speaker 2>didn't realize upfront.

0:40:41.320 --> 0:40:41.640
<v Speaker 1>That's it.

0:40:41.880 --> 0:40:45.240
<v Speaker 3>That's always a possibility too, and even if clinical trials

0:40:45.280 --> 0:40:47.840
<v Speaker 3>look good, as you start to introduce it into larger

0:40:47.880 --> 0:40:54.040
<v Speaker 3>patient populations, additional side effects may show themselves. But I think,

0:40:54.680 --> 0:40:58.120
<v Speaker 3>you know, anyone who has experienced with Alzheimer's is going

0:40:58.160 --> 0:41:01.200
<v Speaker 3>to tell you this is a devastating disease and we

0:41:01.280 --> 0:41:05.080
<v Speaker 3>really need some new treatments fast. So I think, given

0:41:05.200 --> 0:41:08.800
<v Speaker 3>the you know, the promise of this study, this type

0:41:08.800 --> 0:41:12.160
<v Speaker 3>of work is going to be fast tracked and we

0:41:12.200 --> 0:41:16.120
<v Speaker 3>should be hopefully getting answers sooner rather than later. But

0:41:16.200 --> 0:41:20.080
<v Speaker 3>I would I would fathom to guess that we're still

0:41:20.239 --> 0:41:24.760
<v Speaker 3>years away from this proof of concept to a bona

0:41:24.760 --> 0:41:28.760
<v Speaker 3>fide treatment. What may happen sooner, like we alluded to earlier,

0:41:28.880 --> 0:41:33.239
<v Speaker 3>is a new diagnostic tool to catch Alzheimer's sooner, maybe

0:41:33.280 --> 0:41:37.120
<v Speaker 3>even before symptoms develop, just by taking a blood sample

0:41:37.160 --> 0:41:42.319
<v Speaker 3>and seeing you're lithium levels lowering. If so, that could

0:41:42.400 --> 0:41:45.399
<v Speaker 3>be a sign that Alzheimer's is developing. We can put

0:41:45.440 --> 0:41:48.080
<v Speaker 3>you on one of these monoclonal antibodies and slow the

0:41:48.120 --> 0:41:52.280
<v Speaker 3>progression of that disease, buy you some valuable time until

0:41:52.280 --> 0:41:54.280
<v Speaker 3>maybe a new treatment like this comes along.

0:41:55.719 --> 0:41:59.359
<v Speaker 2>So good, so good, so exciting. The stuff that you do.

0:41:59.440 --> 0:42:02.280
<v Speaker 2>And I know this ain't your research, but your research

0:42:02.400 --> 0:42:04.279
<v Speaker 2>is exciting as well. But to be able to share

0:42:04.320 --> 0:42:07.560
<v Speaker 2>this kind of information with the world, that you can

0:42:07.600 --> 0:42:11.600
<v Speaker 2>make it accessible and understandable for us, and also especially

0:42:11.600 --> 0:42:16.160
<v Speaker 2>when it's something that is like, everybody knows somebody who's

0:42:16.320 --> 0:42:19.759
<v Speaker 2>affected by Alzheimer's, and of course it's even if it's

0:42:19.800 --> 0:42:23.200
<v Speaker 2>one member of a family, it's still affecting twenty people,

0:42:23.320 --> 0:42:27.560
<v Speaker 2>not one, because everybody's affected and everybody loves and cares

0:42:27.600 --> 0:42:30.960
<v Speaker 2>about and worries about and needs to care for that person.

0:42:31.000 --> 0:42:34.280
<v Speaker 2>And you know, so it's like many diseases, it's something

0:42:34.360 --> 0:42:37.120
<v Speaker 2>that even if it's only an individual within the group,

0:42:38.120 --> 0:42:42.719
<v Speaker 2>the group is affected, then everyone needs to you know,

0:42:42.800 --> 0:42:46.279
<v Speaker 2>be involved to it an extent. So I guess it'll

0:42:46.320 --> 0:42:49.680
<v Speaker 2>be fascinating to see how it unfolds and how it develops.

0:42:49.719 --> 0:42:52.520
<v Speaker 2>And you know, yeah, it will take a little while,

0:42:52.560 --> 0:42:56.280
<v Speaker 2>but you think, well, we've never had anything, so we're closer,

0:42:56.680 --> 0:43:00.920
<v Speaker 2>like we've had nothing that really really effective deals with it,

0:43:00.920 --> 0:43:07.319
<v Speaker 2>perhaps reverses it, perhaps make somebody from really cognitively, you know,

0:43:07.360 --> 0:43:09.920
<v Speaker 2>down the rabbit hole back to somewhere in the ballpark

0:43:09.960 --> 0:43:14.080
<v Speaker 2>of normal, Like what what an absolute scientific miracle that

0:43:14.120 --> 0:43:15.839
<v Speaker 2>would be for millions of.

0:43:15.840 --> 0:43:19.760
<v Speaker 1>People who are die thosed every year. And yeah, it's exciting.

0:43:19.760 --> 0:43:23.040
<v Speaker 3>You're literally giving someone their life back, and then you

0:43:23.080 --> 0:43:27.600
<v Speaker 3>know there's nothing you can't put a price on that. So,

0:43:27.719 --> 0:43:31.360
<v Speaker 3>while I wouldn't encourage anyone to go pursue lithium supplements

0:43:31.400 --> 0:43:36.920
<v Speaker 3>of any kind, eating a proper diet will ensure that

0:43:36.960 --> 0:43:39.799
<v Speaker 3>your brain is getting the lithium it needs. So good

0:43:39.840 --> 0:43:45.320
<v Speaker 3>sources of lithium include nuts, seeds, and beans, but honestly,

0:43:45.360 --> 0:43:48.560
<v Speaker 3>most grains, fruits, and vegetables are going to have trace

0:43:48.600 --> 0:43:51.359
<v Speaker 3>amounts of lithium and your body doesn't need much of it.

0:43:52.440 --> 0:43:55.880
<v Speaker 3>So if you're eating a healthy, you know, sensible diet,

0:43:56.080 --> 0:43:59.680
<v Speaker 3>you have no reason to believe that you need a supplement.

0:44:01.480 --> 0:44:03.640
<v Speaker 1>You're the guy. It's always good to chat with you.

0:44:04.320 --> 0:44:08.839
<v Speaker 2>We love you, and you deliver every time. So yeah,

0:44:08.960 --> 0:44:12.160
<v Speaker 2>thanks so much, as always, thanks so much, You're great.

0:44:12.200 --> 0:44:13.040
<v Speaker 1>We appreciate you.

0:44:13.200 --> 0:44:15.120
<v Speaker 3>Thank you. It's great to be back.

0:44:16.000 --> 0:44:18.240
<v Speaker 2>Tell people where they can find you, follow you, connect

0:44:18.280 --> 0:44:22.560
<v Speaker 2>with you. And for those people who need an amazing

0:44:22.760 --> 0:44:28.120
<v Speaker 2>corporate speaker, just contact me because I'm now his agent, and.

0:44:30.680 --> 0:44:33.560
<v Speaker 3>Will we negotiate ten percent here zero percent.

0:44:33.920 --> 0:44:37.720
<v Speaker 1>I'm going to manage you for free. Yeah.

0:44:37.800 --> 0:44:39.400
<v Speaker 2>If you want doctor Bill to come and do some

0:44:39.480 --> 0:44:42.239
<v Speaker 2>work with your team, email me and I will make

0:44:42.280 --> 0:44:44.680
<v Speaker 2>it happen. Other than that, how do they find you,

0:44:44.760 --> 0:44:46.319
<v Speaker 2>follow you and connect with you?

0:44:47.120 --> 0:44:50.040
<v Speaker 3>Yeah? People can. Like I said, I'm in the process

0:44:50.080 --> 0:44:53.799
<v Speaker 3>of writing up this story for Psychology Today. Hopefully you'll

0:44:53.800 --> 0:44:56.560
<v Speaker 3>come out in next week or two and you'll be

0:44:56.560 --> 0:45:00.879
<v Speaker 3>able to find that link at author Bill sullivan doc com,

0:45:00.920 --> 0:45:03.600
<v Speaker 3>along with all the other writing that I've done all

0:45:03.640 --> 0:45:08.719
<v Speaker 3>of my previous podcasts, including with Craig here and I

0:45:08.920 --> 0:45:11.880
<v Speaker 3>do book talks. I wrote, Please to meet me jeans,

0:45:11.960 --> 0:45:15.080
<v Speaker 3>germs and the curious forces that make us who we are.

0:45:15.320 --> 0:45:18.479
<v Speaker 3>If you're interested in human behavior, be more than happy

0:45:18.560 --> 0:45:20.879
<v Speaker 3>to come talk to your corporation or group about it.

0:45:21.400 --> 0:45:23.839
<v Speaker 2>One hundred percent so bypassed me. You don't know, make

0:45:23.920 --> 0:45:25.120
<v Speaker 2>I strike to his website.

0:45:25.480 --> 0:45:26.839
<v Speaker 3>I'm sorry, go talk.

0:45:26.960 --> 0:45:29.080
<v Speaker 1>No, definitely don't.

0:45:29.480 --> 0:45:33.040
<v Speaker 2>Definitely don't go to you, Michael Sagobie affair.

0:45:33.080 --> 0:45:35.319
<v Speaker 1>But it's always great to catch up with you. Thanks

0:45:35.360 --> 0:45:35.719
<v Speaker 1>so much.

0:45:36.480 --> 0:45:37.640
<v Speaker 3>Yeah, until next time,