WEBVTT

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Simply having the regulations state that SRY

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is used as a proxy to determine if you have a

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Y chromosome or not. And that's their kind of

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their bottom line. If you have SRY, then you're

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going to have a Y chromosome and vice versa.

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But that's the part that's just not 100 % true

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because you can have or not have SRY. And that's

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irregardless of having a Y chromosome or not.

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Hi Shani, it's my pleasure to have you on Evidence

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Strong Show. for the second time. And please

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briefly introduce yourself. Yes, Alex. Thanks

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for having me. It's nice to talk to you again.

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So last time we talked about sex differences

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in exercise physiology. And so I introduced myself

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then, but I guess I'll say again that I'm a researcher

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in genetics and molecular biology and how it

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relates to sex differences, both in health and

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disease. And also in the past, I had a stronger

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focus in exercise physiology. And I'm an 800

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meter runner myself. I guess even more related

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to this topic. And yeah, I'm in Melbourne at

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the Hudson Institute doing a postdoc and finished

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my PhD in epigenetics about four years ago. Amazing.

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So today we talk about DSD athletes and transgender

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athletes and the policies and how they relate

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to research. So let's start with some kind of

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definitions, what DSD athlete is and transgender

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athlete and how they differ. talking about dsd

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and transgender i'll define sex and i'll define

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gender and i think that those are commonly used

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interchangeably in society but in biology there

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are two separate words with separate definitions

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so sex we call the biological sex and the two

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main categories are male and female and i'm keeping

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it simple for the sake of the definition and

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we'll go into more details after and this is

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determined by our sex chromosomes so Female typically

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will be XX and having XX chromosomes means you

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have a certain set of genes and those genes lead

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to development of ovaries. On the other hand,

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you have... XY individuals, that means they have

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an X and a Y chromosome, and having the genes

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on those set of chromosomes lead to the development

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of testes in typical males. And so I guess to

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simplify it, the way we define biological sex

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in biology is based on the phenotype or the gonads.

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So if you have testes or ovaries, so basically

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your reproductive organs, and that's how we kind

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of refer to it. at least in the field that I'm

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in and the way that we're approaching that biology.

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Gender, on the other hand, is a social construct.

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So it's the genders, what one identifies with

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or perceives themselves as. And that more broadly,

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the two categories is man or woman. So to kind

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of use the terminology correctly, which it's

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often not, and even in a lot of peer reviewed

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papers and a lot of really high impact papers,

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people will still interchange them. But if you're

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talking about what is actually. happening from

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a biology perspective sex is male and female

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and gender is man and woman and that means that

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comes up a lot in research is that mice don't

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have a gender they have a sex because we don't

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know mice can't tell us what they identify as

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right so they can be male or female they can't

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be you know that they don't have a gender and

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that's again to keep it simple i won't go into

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all the different variations of trend of um gender

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identity so i gave you just the two man and woman

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but yeah i won't go into the details of of all

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the in between because study biology. So we're

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interested in what's in between male and female.

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But we're here to talk to you about biology,

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not about the social constructs. So I'll stick

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to that. And then how that relates to DSD and

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transgender. So DSD stands for differences in

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sex development. It used to stand for disorders

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and sex development, but that was changed. It

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used to be termed as intersex, but that's also

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less commonly the medical term. So now we go

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with DSD, which is a difference in sex development.

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So a lot of what What my lab at the Hudson does

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is study those exact pathways of sex development.

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So how does an XX embryo lead to the eventual

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sexual characteristics? And what that means is

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about 1 % of the population, which is a lot more

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than what people tend to think, and that is kind

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of commonly thought, is born with a DSD. So that

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means they present with sexual characteristics

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that are not 100 % typical to male or 100 % typical

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to female, but are somewhere in between. And

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that's a really big range and a really big spectrum.

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So you can have anything from a partial sex reversal

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to a full sex reversal. So what we mean by partial

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is you are XX, you're presenting as a female,

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but you have some characteristics that are male

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-like. And that's why we use the word typical

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because 99 % of the population... that's how

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a male develops. 99 % of the population, that's

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how a female develops. So this is the typical

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pathway. If everything is coordinated. in a specific

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way. And variations to that pathway will lead

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to a difference in sex development. And that

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can be at several stages along the pathway, therefore

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leading to this spectrum. So that was partial

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sex reversal, meaning you still have the sex

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chromosomes that your phenotype or your gonads

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are presenting as, but maybe you have some variation.

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And then you have full sex reversal, where you

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can have an XX chromosome makeup, but you're

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actually presenting entirely as a male. male

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characteristics. So there's a range and everything

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in between. And so what my lab does is try to

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identify the genes that are or the variants in

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the genes that are causing those differences

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in sex development. So the main gene that was

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discovered several decades ago was SRY, the sex

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determining region on the Y chromosome is what

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SRY stands for. And it's a gene that lies on

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the Y chromosome. And generally, typically, if

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it's present, it leads to the development of

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testes. So... It's kind of like as a simplistic

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statement, if you have SRY, you'll develop testes.

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If you don't have SRY, you won't. But that's

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a very simple statement because the pathway is

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very complex. There's a lot of parts of the pathway

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that are already known. So which targets there

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are upstream or downstream of SRY. And there

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are also inhibitory pathways to then inhibit

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the development of ovaries at the same time.

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So it's a coordinated pathway. It's almost like

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you start with what's called the biopotential

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gonad. And it kind of has a, you know, an unknown

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fate at that point. And it depends on the presence

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of a multitude of different genes in the pathway.

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And if the right genes are present at the right

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time, so they're expressed at the right time,

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that bipotential gonad will differentiate into

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a testes. And if the right genes are present

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or not present at the right time, that bipotential

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gonad will differentiate into the ovaries. So

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it kind of has these two pathways that it can

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go down. That said... because it includes a number

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of genes that need to be coordinated and turned

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on at the right time in the right place, right,

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and you go and add. Then variations, whether

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it's at this point in the pathway or at this

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point, then all of a sudden you could find yourself

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coming towards the other pathway. So that can

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happen at multiple different stages, and that's

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where the complexity comes in. So there's about

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50 % of cases, and I'm giving a rough estimate

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because it depends on which type of DSD. If we're

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talking about an individual that's XY or an individual

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that's XX, but at least 50%. both categories

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have variations in genes that we haven't yet

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discovered or variants that we haven't yet discovered.

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So about 50 % of the cases that present will,

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you know, if a baby is born and presents with

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ambiguous genitalia or ambiguous sex characteristics,

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so kind of a mix or a mixture of both, then they

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usually undergo a DSD gene panel, which has 138,

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so approximately 140 genes that have been confirmed

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and identified to lead to DSDs. If they test

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positive, for any of those specific variations

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of those specific genes, then they have a diagnosis

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and they can be advised with their treatment

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options or kind of the way that that DSD tends

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to develop in people. And then the other kind

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of 50 plus percent don't fall on any of the genes

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on the gene panel. And that's the patients that

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we often get. So we'll get patients that. are

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called panel negative. So none of the genes that

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cause DSDs that we know of don't explain their

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DSD. And then we perform a mixture of whole exome

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sequencing or whole genome sequencing with a

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combination of other methods to identify the

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potentially causing variant or that DSD. Is it

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possible that it's not obvious at birth and the

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person gets to know later? And if yes, what circumstances

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would bring this topic about? Yeah. So because

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it's such a spectrum, there's a lot of answers

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to that question because depending on the type

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of DSD. But as an example, so the three kind

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of main types of DSDs that we categorize into

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are one is sex chromosome aneuploidies, which

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means you basically have a different number of

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sex chromosomes than what is typically found.

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So instead of having XY or XX, you have either

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XO, which is Turner syndrome. So females that

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have just one X chromosome and you have X. XXY,

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which is Klinefelter syndrome, so males that

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have two X chromosomes and a Y. And you have

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Jacobs syndrome, which is XYY, which is more

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rare. And that also leads to male development,

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but with two Y chromosomes. So a good example

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of individuals finding out later on is with these

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sex chromosome aneuploidies, because they have

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some mild phenotypes. And again, it ranges depending

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on the individual and what we call the mosaicism.

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So some cells can have just one X, some cells

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potentially have a combination. So depending

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on that individual's present genetic condition

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or kind of genetic makeup, they will present

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with different symptoms and potentially at different

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stages of life. So often what will happen either

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with Turner syndrome or Klinefelter syndrome

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is these people have problems with conceiving

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or problems with fertility. And upon fertility

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investigation, we'll find out that they have

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one X chromosome in a female or potentially two

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X chromosomes in Klinefelter men. So that's one

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example of how. that can be found later on. And

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then back to the other two types of DSDs that

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we talked about, sex chromosome aneuploidy types,

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then there's what we call 46XY and then 46XX.

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And what that means is that the individual has

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the two sets of sex chromosomes that are typical,

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right? Either XX or XY, but they have a partial

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or a full sex reversal. So a variation to their

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development, meaning someone that's XX isn't

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presenting phenotypically completely as an individual

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who is XX. X and vice versa with X, Y. Wow, super

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complicated to say the least. That's good. I

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really wanted to show it. Why do we care in sports

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whether the person developed typically or atypically?

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In the context of sports, and this is where,

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yeah, it just, it's complicated in biology. It's

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complicated in what we study. And so that obviously

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translates also to... to the sporting regulations

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and to the definitions in sport. So I'll go through

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kind of just a rough history of what's kind of

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happened. So update on the DSD participation.

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And I guess I'll keep my wording a bit vague

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because I'm not here to point fingers at anybody

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or at any body or organization. I'm a biologist

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or interested in the biology. And I'm here to

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discuss the facts of what we know and what we

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don't know and not to give my opinion on what

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I think the regulations should and shouldn't

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be. So the saga with DSD. participation is not

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new it's something that's come up in history

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but it really blew up around 2009 after the 800

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meters in the world championships and since then

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it went through a number of different regulations

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so first it was decided that females that wanted

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to compete in events from 400 meters to the mile

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in athletics had to have a testosterone concentration

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below 10 animals per liter that concentration

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i'll talk a little bit about the testosterone

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aspect That concentration recommendation or restriction

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then moved down to five nanomoles per liter,

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and then it moved down to two and a half in 2019.

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And that's where it sits right now. And there

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is a lot of debate around that. But what that

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meant is that females that had a DSD that caused

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them to have high testosterone levels were required,

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if they wanted to participate, to take medication

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to lower their testosterone levels below that

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allowed threshold. Could you just, my audience

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may not be... quite familiar with the normal,

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maybe typical ranges should be for females and

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for males. Why 10, 5, 2 .5? How it relates to

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male levels? So males have several folds higher

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levels of testosterone. A normal, you know, a

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typical male and a typical female. And there

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are conditions in females and that's what I was

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going to get to on the complexities in it because

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there are conditions in females such as PCOS,

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so polycystic ovary syndrome, which can lead

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to those higher levels, but it's a trait that

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we call sexually dimorphic, which means it totally

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doesn't overlap. So there are traits that have

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sex differences, for instance, height. If you

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look at a graph, you know, it's kind of like

00:13:08.149 --> 00:13:09.909
this, like, yes, on average, males are taller

00:13:09.909 --> 00:13:11.610
and females are shorter, but there's going to

00:13:11.610 --> 00:13:13.190
be an overlap. It's not like there's not males

00:13:13.190 --> 00:13:15.110
that have the same height as a female and vice

00:13:15.110 --> 00:13:17.009
versa. But when it comes to testosterone levels,

00:13:17.269 --> 00:13:20.049
it's like this, you know, like you can take someone's

00:13:20.049 --> 00:13:21.230
testosterone and you want to know if they're

00:13:21.519 --> 00:13:23.240
you know, if they're a male or a female, we're

00:13:23.240 --> 00:13:25.120
talking about to keep using the word typical

00:13:25.120 --> 00:13:27.620
to keep that in mind. So yeah, it's many, many

00:13:27.620 --> 00:13:30.879
folds higher in males. Okay. So if that's the

00:13:30.879 --> 00:13:35.240
case, why 10, 5, and 2 .5? Yeah. And that's what

00:13:35.240 --> 00:13:37.299
a lot of the debate and criticism has been around

00:13:37.299 --> 00:13:41.460
because those numbers, at least in science, whenever

00:13:41.460 --> 00:13:43.879
there are thresholds, we always see that as a

00:13:43.879 --> 00:13:45.879
little bit arbitrary. You know, we choose a p

00:13:45.879 --> 00:13:48.659
-value of 0 .05, but some people choose a p -value

00:13:48.659 --> 00:13:51.480
of, and a p -value is just how significant something

00:13:51.480 --> 00:13:55.440
is in science, right? Of 0 .05 or 0 .05 or 0

00:13:55.440 --> 00:13:58.840
.01 or 0 .01. So, you know, choosing a threshold

00:13:58.840 --> 00:14:00.419
that's going to decide, you know, if you're above

00:14:00.419 --> 00:14:03.159
or below that always is going to have a sense

00:14:03.159 --> 00:14:06.220
of subjectivity to it and I guess arbitrariness

00:14:06.220 --> 00:14:09.639
to it. And I think that's why the numbers were

00:14:09.639 --> 00:14:12.440
adjusted every few years is because there really

00:14:12.440 --> 00:14:15.720
wasn't evidence to support that threshold. So

00:14:15.720 --> 00:14:19.700
there were studies done trying to measure performance.

00:14:20.009 --> 00:14:22.289
females and their levels of testosterone and

00:14:22.289 --> 00:14:25.230
correlate levels of testosterone to performance

00:14:25.230 --> 00:14:28.330
but we know that performance is so multifaceted

00:14:28.330 --> 00:14:31.090
so how can you you know single that one thing

00:14:31.090 --> 00:14:32.950
and say oh this person has high testosterone

00:14:32.950 --> 00:14:34.929
therefore they have better performance when there

00:14:34.929 --> 00:14:36.909
was maybe another person that had that same level

00:14:36.909 --> 00:14:38.850
and they had lower performance so it's it's not

00:14:38.850 --> 00:14:40.929
a black and white the levels that were decided

00:14:40.929 --> 00:14:43.210
were debated on and that's why they kept coming

00:14:43.210 --> 00:14:46.230
down and the data that was out there to support

00:14:46.230 --> 00:14:48.730
that threshold was very weak yeah and in addition

00:14:48.730 --> 00:14:50.389
to that There's different reasons for having

00:14:50.389 --> 00:14:52.830
high testosterone and there's different ranges.

00:14:53.110 --> 00:14:55.990
So if you have PCOS and it's also all about the

00:14:55.990 --> 00:14:58.730
receptors as well, you can have high testosterone,

00:14:58.909 --> 00:15:01.009
but is it bioavailable? Is your body actually

00:15:01.009 --> 00:15:03.970
able to have the sensitivity in the receptors

00:15:03.970 --> 00:15:07.009
to respond to those higher levels? So it's a

00:15:07.009 --> 00:15:08.669
combination of a lot of different things that

00:15:08.669 --> 00:15:11.450
are going to present differently. an individual,

00:15:11.649 --> 00:15:13.629
depending on the reason that they have that high

00:15:13.629 --> 00:15:15.210
testosterone and the background of everything

00:15:15.210 --> 00:15:17.549
else that they have. So it's, there's kind of

00:15:17.549 --> 00:15:20.250
not been any single study that's been able to,

00:15:20.289 --> 00:15:23.970
you know, really answer that question fully because

00:15:23.970 --> 00:15:26.950
most studies and most of what we know about testosterone

00:15:26.950 --> 00:15:30.610
historically was done in studies in males. And

00:15:30.610 --> 00:15:33.129
now there are more studies coming out in females

00:15:33.129 --> 00:15:36.110
and we'll get to transgender, gender -firming

00:15:36.110 --> 00:15:38.350
hormone therapy, looking at the effect of when

00:15:38.350 --> 00:15:41.039
you take exogenous, so out. of your body testosterone

00:15:41.039 --> 00:15:43.919
and what that does. But when it comes to having

00:15:43.919 --> 00:15:46.620
high endogenous testosterone levels that have

00:15:46.620 --> 00:15:48.899
high variability and a multitude of different

00:15:48.899 --> 00:15:51.679
functions, it's really hard to answer that question

00:15:51.679 --> 00:15:54.580
of exactly at what threshold do you get a performance

00:15:54.580 --> 00:15:57.419
benefit with testosterone in females. It's just

00:15:57.419 --> 00:15:59.940
not really well known and the data is not there

00:15:59.940 --> 00:16:03.299
to support that. Okay, so if we think DSDs, we

00:16:03.299 --> 00:16:06.379
understand now that it's a spectrum and the things

00:16:06.379 --> 00:16:09.879
may diverge from the typical pathway. on many,

00:16:09.960 --> 00:16:14.679
many levels. So now in terms of sport, the different

00:16:14.679 --> 00:16:18.000
DSDs will have different presentations in terms

00:16:18.000 --> 00:16:21.000
of potential performance improvement. Exactly.

00:16:21.019 --> 00:16:24.700
And because it's 1 % of the population and in

00:16:24.700 --> 00:16:28.000
that 1 % that splits to a certain percent being

00:16:28.000 --> 00:16:30.320
males and a certain percent presenting as females,

00:16:30.419 --> 00:16:32.500
that's going to be even less. And then you have

00:16:32.500 --> 00:16:33.899
the number of those people that actually ended

00:16:33.899 --> 00:16:37.740
up in sports or having skills in a specific sport.

00:16:37.879 --> 00:16:40.340
So that's... reduces it even more. And then you

00:16:40.340 --> 00:16:43.389
have the ones that... you know, they have variable

00:16:43.389 --> 00:16:45.509
presentations of what are the genetic causes

00:16:45.509 --> 00:16:48.090
and then it splits it up even more. So you have

00:16:48.090 --> 00:16:50.769
a really small number of people to represent,

00:16:50.870 --> 00:16:52.909
you know, each one of those different categories

00:16:52.909 --> 00:16:54.909
or however many there even are. But the point

00:16:54.909 --> 00:16:57.190
is to say that when it comes, so I didn't mention,

00:16:57.230 --> 00:17:00.149
so the latest ruling is what I was going to add.

00:17:00.250 --> 00:17:03.529
The latest ruling that was just now before the

00:17:03.529 --> 00:17:07.109
Tokyo World Championship, so just in September,

00:17:07.289 --> 00:17:11.579
was that the testosterone for... in the female

00:17:11.579 --> 00:17:14.720
category needed to be below 2 .5 animals per

00:17:14.720 --> 00:17:17.200
liter. So that stayed. And individuals who wish

00:17:17.200 --> 00:17:20.660
to compete as a female needed to undergo a test

00:17:20.660 --> 00:17:23.920
to see if they have the SRY gene or not. So we

00:17:23.920 --> 00:17:26.539
talked before that the SRY gene is one of the

00:17:26.539 --> 00:17:29.259
key members in the pathway to determine if you

00:17:29.259 --> 00:17:31.640
develop testes or if you develop ovaries. But,

00:17:31.660 --> 00:17:33.859
and this is where the big buck comes in and where

00:17:33.859 --> 00:17:38.299
the DSD researchers are kind of trying to, I

00:17:38.299 --> 00:17:41.609
guess, make it clear that it's a lot more complex

00:17:41.609 --> 00:17:45.190
than that. And it's not just one gene that decides

00:17:45.190 --> 00:17:48.470
if you have testes development or ovaries development.

00:17:48.750 --> 00:17:52.369
So there are what we call SRY negative cases

00:17:52.369 --> 00:17:55.170
and SRY positive cases. And that means that,

00:17:55.230 --> 00:17:59.430
for example, an individual that is XY could not

00:17:59.430 --> 00:18:02.890
have the sry gene and could have crazy things

00:18:02.890 --> 00:18:04.910
happen in genetics genes can get moved on to

00:18:04.910 --> 00:18:07.849
different chromosomes and chromosomes can rearrange

00:18:07.849 --> 00:18:11.029
and split up in meiosis and separate strangely

00:18:11.029 --> 00:18:13.529
like a lot of strange things happen and simply

00:18:13.529 --> 00:18:16.829
having sry or not having sry doesn't doesn't

00:18:16.829 --> 00:18:20.190
determine the sex development 100 it explains

00:18:20.190 --> 00:18:22.569
a lot of the cases but not all of the cases so

00:18:22.569 --> 00:18:25.130
that means that you can have a female so an xx

00:18:25.130 --> 00:18:27.930
chromosome complement but there can be a mutation

00:18:27.930 --> 00:18:30.960
in another gene such as SOX9, and that can lead

00:18:30.960 --> 00:18:34.640
to some male sex determination pathways. So that's

00:18:34.640 --> 00:18:38.339
just an example of why this SRY simple gene test

00:18:38.339 --> 00:18:41.460
to decide if a female can compete or not doesn't

00:18:41.460 --> 00:18:43.960
actually cover the range or the spectrum of conditions

00:18:43.960 --> 00:18:46.019
because there can be mutations. Well, there can

00:18:46.019 --> 00:18:47.900
be. There are mutations in other genes, ones

00:18:47.900 --> 00:18:49.920
that are known. but also ones that are not known.

00:18:50.039 --> 00:18:53.059
That will lead to male sex determination in a

00:18:53.059 --> 00:18:56.440
female and vice versa. So a simple test is just,

00:18:56.519 --> 00:18:59.099
well, the biology is complicated. And, you know,

00:18:59.099 --> 00:19:01.200
where do you draw the line for female enough?

00:19:01.279 --> 00:19:04.240
We don't even know that in biology. So I don't

00:19:04.240 --> 00:19:06.019
know how you would draw that line for sport.

00:19:06.140 --> 00:19:09.319
It's just too complicated. So I guess the other

00:19:09.319 --> 00:19:12.319
detail to add to the ruling that was made back

00:19:12.319 --> 00:19:17.019
in September is that females with, so women that

00:19:17.019 --> 00:19:20.380
were XY, but are presenting as females that have

00:19:20.380 --> 00:19:22.380
what's called androgen insensitivity syndrome

00:19:22.380 --> 00:19:24.400
are allowed to compete in the female category

00:19:24.400 --> 00:19:27.380
as long as their testosterone is at a low level.

00:19:27.480 --> 00:19:30.839
And this is because they don't have the receptors

00:19:30.839 --> 00:19:33.140
to actually respond to that. So that was things

00:19:33.140 --> 00:19:36.000
that are based off data and rulings that are

00:19:36.000 --> 00:19:38.200
based off of science. So it's nice to see when

00:19:38.200 --> 00:19:40.920
the policies and guidelines do have some science

00:19:40.920 --> 00:19:43.809
rationale. to them because that was argued. Well,

00:19:43.910 --> 00:19:45.369
they have higher testosterone, but they can't

00:19:45.369 --> 00:19:47.490
actually use it. So it's not actually helping

00:19:47.490 --> 00:19:50.670
them. But the thing that still stands, that is

00:19:50.670 --> 00:19:54.059
not. completely aligning with the science of

00:19:54.059 --> 00:19:59.119
DSDs is the fact that now the SRY gene is deemed

00:19:59.119 --> 00:20:01.720
the, you know, be -all, know -all to if you have

00:20:01.720 --> 00:20:04.660
a male or female sex development. And we simply

00:20:04.660 --> 00:20:06.599
know that that's not that simple. And there's

00:20:06.599 --> 00:20:08.980
other genes involved. Okay. Should we move to

00:20:08.980 --> 00:20:12.579
transgender athletes? Yes. So I have much less

00:20:12.579 --> 00:20:16.359
to say about this because we do study a little

00:20:16.359 --> 00:20:19.660
bit in my current lab and my past lab, but it's

00:20:19.660 --> 00:20:22.589
not currently... that, how do I say it? No, but

00:20:22.589 --> 00:20:26.710
I think we need just to complement the topic

00:20:26.710 --> 00:20:30.329
of the athletes and to make it maybe not full

00:20:30.329 --> 00:20:33.130
picture, but maybe a little bit more rich picture.

00:20:33.190 --> 00:20:36.490
So we have these athletes who wear the jeans

00:20:36.490 --> 00:20:40.690
and the development are varying from the typical.

00:20:40.769 --> 00:20:43.950
And now we have transgender athletes who at some

00:20:43.950 --> 00:20:47.650
point decided that they present or want to present

00:20:47.650 --> 00:20:51.289
as the other gender. So that has consequences.

00:20:51.660 --> 00:20:55.339
in terms of fairness and participation in sports.

00:20:55.460 --> 00:20:58.640
So from that perspective, who are transgender

00:20:58.640 --> 00:21:01.660
athletes and how they differ from DSD athletes?

00:21:02.000 --> 00:21:06.240
Yes, well said. So I think what's important to

00:21:06.240 --> 00:21:10.380
understand with transgender athletes and the

00:21:10.380 --> 00:21:14.200
decisions that they make around their process

00:21:14.200 --> 00:21:17.839
for if they want to perform gender from hormone

00:21:17.839 --> 00:21:21.819
therapy or not is understanding what... administering

00:21:21.819 --> 00:21:23.940
hormones does to the body and to performance.

00:21:24.259 --> 00:21:27.900
So two kind of main things in that to understand

00:21:27.900 --> 00:21:31.299
is what we call organizational and activational

00:21:31.299 --> 00:21:33.920
hormone effects. And what that means is organizational

00:21:33.920 --> 00:21:38.160
is the lifelong exposure to a specific hormone

00:21:38.160 --> 00:21:40.640
level, so having high testosterone in males or

00:21:40.640 --> 00:21:43.579
higher estrogen in females, means that there

00:21:43.579 --> 00:21:46.380
are things that will happen in the body and the

00:21:46.380 --> 00:21:48.559
structure in your physiology that are irreversible.

00:21:48.680 --> 00:21:51.059
So a good example, a well -known studied example,

00:21:51.240 --> 00:21:54.119
is that there's a very specific time window in

00:21:54.119 --> 00:21:56.740
embryonic development that having high testosterone

00:21:56.740 --> 00:22:00.569
at that time leads to development of a specific

00:22:00.569 --> 00:22:02.990
region of the brain to be bigger and that region

00:22:02.990 --> 00:22:05.430
of the brain is again in typical males and females

00:22:05.430 --> 00:22:08.829
is always larger in males and smaller in females

00:22:08.829 --> 00:22:12.259
because there's that critical window of testosterone

00:22:12.259 --> 00:22:15.640
exposure. And if you treat developing female

00:22:15.640 --> 00:22:18.019
embryos with testosterone during that critical

00:22:18.019 --> 00:22:21.279
period, they will develop the male type size

00:22:21.279 --> 00:22:24.400
for that brain region. But if you give the testosterone

00:22:24.400 --> 00:22:26.839
later on outside of that critical period, then

00:22:26.839 --> 00:22:28.700
they won't. That brain region will develop as

00:22:28.700 --> 00:22:31.440
it does in females. So it's to show that there

00:22:31.440 --> 00:22:34.000
are critical periods in development that rely

00:22:34.000 --> 00:22:36.920
on specific hormone levels and either having

00:22:36.920 --> 00:22:39.079
or not having them at the right time is going

00:22:39.079 --> 00:22:41.859
to... to confer sex differences that remain for

00:22:41.859 --> 00:22:45.059
life and aren't reversible. So growing up with

00:22:45.059 --> 00:22:48.059
a certain hormone level and having that exposure

00:22:48.059 --> 00:22:50.859
throughout your in utero and throughout your

00:22:50.859 --> 00:22:53.599
life is going to set up some differences that

00:22:53.599 --> 00:22:55.400
are not going to be reversed. That's what we

00:22:55.400 --> 00:22:57.480
call organizational. The activational hormone

00:22:57.480 --> 00:22:59.839
differences means that those are kind of the

00:22:59.839 --> 00:23:02.880
acute effects of hormones and those can be reversed.

00:23:03.200 --> 00:23:05.799
So you can have taking testosterone can have

00:23:05.799 --> 00:23:08.440
some immediate effects on your self -signal.

00:23:08.460 --> 00:23:11.579
on your cell pathways that respond to that. And

00:23:11.579 --> 00:23:13.740
if you then remove that, then that pathway then

00:23:13.740 --> 00:23:16.019
stops that signaling or, you know, goes back

00:23:16.019 --> 00:23:18.339
to what it was before. So there are effects that

00:23:18.339 --> 00:23:21.460
are long term and irreversible and that happen

00:23:21.460 --> 00:23:23.319
from long term exposure and effects that are

00:23:23.319 --> 00:23:25.220
that are reversible. So I think understanding

00:23:25.220 --> 00:23:28.480
that and the field is still in its infancy and

00:23:28.480 --> 00:23:31.740
understanding exactly what the long term effects

00:23:31.740 --> 00:23:35.160
are of gender affirming hormone therapy in transgender

00:23:35.160 --> 00:23:37.740
individuals. So I think it's something think

00:23:37.740 --> 00:23:39.759
that's quite a hot topic right now. And I think

00:23:39.759 --> 00:23:41.779
that we're going to see a lot more studies coming

00:23:41.779 --> 00:23:43.779
out on it in the coming years. So that's something

00:23:43.779 --> 00:23:46.279
to keep your eyes open for. But a lot is looking

00:23:46.279 --> 00:23:50.339
at, you know, what risks or what immune differences

00:23:50.339 --> 00:23:53.799
or what are the effects on the physiology and

00:23:53.799 --> 00:23:55.819
non -performance that are going to come about.

00:23:55.980 --> 00:23:59.220
So it's trickling in and we are seeing a little

00:23:59.220 --> 00:24:01.019
bit of, you know, the effects of strength performance

00:24:01.019 --> 00:24:03.319
if you take testosterone, if you take estrogen,

00:24:03.440 --> 00:24:05.480
and you do see an increase in strength in specific

00:24:05.480 --> 00:24:07.789
tests with testosterone. and a decrease with

00:24:07.789 --> 00:24:09.910
reducing testosterone and increasing estrogen.

00:24:10.029 --> 00:24:11.890
But I think that there's just a lot still left

00:24:11.890 --> 00:24:14.930
to understand there. And yeah, there's also important

00:24:14.930 --> 00:24:17.390
to take into consideration how it affects the

00:24:17.390 --> 00:24:19.490
rest of your health. So there is an increase

00:24:19.490 --> 00:24:23.609
in risk with having thrombotic events as well

00:24:23.609 --> 00:24:27.710
as a few other cardiovascular events and having

00:24:27.710 --> 00:24:30.730
specific genetic predispositions to those events

00:24:30.730 --> 00:24:33.289
might exacerbate that. So it's very much still

00:24:33.289 --> 00:24:35.789
in the process and young and understanding the

00:24:35.789 --> 00:24:39.769
exact. effects of taking exogenous hormones for

00:24:39.769 --> 00:24:42.130
a long period and what that does so i think when

00:24:42.130 --> 00:24:45.250
it comes to transgender athletes and the decisions

00:24:45.250 --> 00:24:48.089
that that they can make for themselves is that

00:24:48.089 --> 00:24:51.049
just having the knowledge of what we already

00:24:51.049 --> 00:24:54.569
know and what the effects can be for that person

00:24:54.569 --> 00:24:57.730
will allow them to make the decision of you know

00:24:57.730 --> 00:24:59.730
what they want to do because there are the regulations

00:24:59.730 --> 00:25:03.009
set out which is having the testosterone levels

00:25:03.009 --> 00:25:05.680
at a certain level and if they want to in the

00:25:05.680 --> 00:25:08.519
female category, then that is something to consider

00:25:08.519 --> 00:25:10.059
because that's something that they have control

00:25:10.059 --> 00:25:12.779
over as opposed to the DSD athletes, which is

00:25:12.779 --> 00:25:14.880
different because that's made endogenously. It's

00:25:14.880 --> 00:25:17.839
made from within. it would be taking something

00:25:17.839 --> 00:25:20.779
external to reduce those levels, while in transgender

00:25:20.779 --> 00:25:24.839
athletes, they can choose to change those levels

00:25:24.839 --> 00:25:27.500
to be higher as opposed to lower. So yeah, I

00:25:27.500 --> 00:25:30.160
think when it comes to transgender athlete participation,

00:25:30.460 --> 00:25:35.539
it's less complex and there's more power in the

00:25:35.539 --> 00:25:38.480
individual's decisions that they can make in

00:25:38.480 --> 00:25:41.220
order to confer or kind of confer to the guidelines

00:25:41.220 --> 00:25:43.039
and then be able to compete in the category,

00:25:43.299 --> 00:25:45.480
in the female category. Okay, so what I'm hearing

00:25:45.480 --> 00:25:49.059
is... From the embryo, there are differences

00:25:49.059 --> 00:25:52.880
between female embryos and male embryos and how

00:25:52.880 --> 00:25:56.200
they develop. And these differences grow with

00:25:56.200 --> 00:25:59.480
the long -term exposure to the typical hormonal

00:25:59.480 --> 00:26:02.420
profile the female or male will have. So transgender

00:26:02.420 --> 00:26:05.599
athletes are different fundamentally. And there

00:26:05.599 --> 00:26:09.240
are differences that cannot be changed or controlled

00:26:09.240 --> 00:26:13.720
for using the gender -affirming hormonal therapy.

00:26:13.940 --> 00:26:17.019
So that's... obvious on the basis of the science.

00:26:17.160 --> 00:26:20.440
Now, how much it influences performance, that's

00:26:20.440 --> 00:26:24.700
where the gray area is and where the investigations

00:26:24.700 --> 00:26:28.680
are. Am I understanding correctly? Yes, I would

00:26:28.680 --> 00:26:32.920
say so. I would say gray, it's not as gray as

00:26:32.920 --> 00:26:36.019
DSDs, let's put it that way. So we know what

00:26:36.019 --> 00:26:39.099
taking exogenous hormones can do to your performance

00:26:39.099 --> 00:26:42.099
immediately, but I think we don't fully know.

00:26:42.160 --> 00:26:44.680
So exactly what those hormones influence. Lewin's.

00:26:44.779 --> 00:26:47.519
But I think... It's, you know, even intuitively

00:26:47.519 --> 00:26:50.299
and understanding and looking at a male and a

00:26:50.299 --> 00:26:53.039
female athlete and the size difference and all

00:26:53.039 --> 00:26:54.740
the other sex differences that we talked about

00:26:54.740 --> 00:26:56.839
in the previous recording is there are going

00:26:56.839 --> 00:26:59.359
to be established sex differences that are not

00:26:59.359 --> 00:27:02.180
going to be able to be reversed. So, yes, taking

00:27:02.180 --> 00:27:04.900
exogenous hormones or gender affirming hormone

00:27:04.900 --> 00:27:08.460
therapy will will shift those numbers a bit strength

00:27:08.460 --> 00:27:11.240
wise, performance wise. But the difference between

00:27:11.240 --> 00:27:13.980
male and female performance is so large that,

00:27:14.019 --> 00:27:16.279
you know, that's kind of how. I see it. So there's

00:27:16.279 --> 00:27:18.319
more left to understand. I'll put it, I'll agree

00:27:18.319 --> 00:27:21.220
with that, but we know enough to know that, that

00:27:21.220 --> 00:27:24.359
the lifelong exposure to, to hormones and even,

00:27:24.380 --> 00:27:26.819
even not lifelong, even if people undergo, you

00:27:26.819 --> 00:27:28.759
know, hormone replacement therapy earlier on,

00:27:29.000 --> 00:27:31.799
there's still E and utero differences and, and

00:27:31.799 --> 00:27:34.240
going through puberty that are going to be, yeah,

00:27:34.259 --> 00:27:36.500
irreversible in a sense. Do we know anything

00:27:36.500 --> 00:27:41.200
about the, for the transgender individuals, maybe

00:27:41.200 --> 00:27:43.019
not necessarily artists, because I don't think

00:27:43.019 --> 00:27:45.690
we have enough research. to draw on that. But

00:27:45.690 --> 00:27:48.930
how the gender affirming hormonal therapy influences

00:27:48.930 --> 00:27:53.990
risks of developing health conditions or diseases

00:27:53.990 --> 00:27:57.809
that are typically correlated or are more common

00:27:57.809 --> 00:28:02.490
in one or the other sex in typical lifelong exposure?

00:28:02.829 --> 00:28:05.430
I love that question. It's a great question.

00:28:05.549 --> 00:28:08.490
I think it's fascinating. When we are able to

00:28:08.490 --> 00:28:10.809
hopefully one day answer that, that is very much

00:28:10.809 --> 00:28:13.670
kind of connects to a lot of the research. that

00:28:13.670 --> 00:28:15.950
we're doing, which is understanding the basis

00:28:15.950 --> 00:28:19.549
or the reason for sex differences in conditions.

00:28:19.789 --> 00:28:21.670
And we talked about last time, I think, that

00:28:21.670 --> 00:28:23.890
there are diseases that are more prevalent in

00:28:23.890 --> 00:28:26.750
males where the symptoms are more severe in males

00:28:26.750 --> 00:28:29.890
and vice versa in females. And a lot is still

00:28:29.890 --> 00:28:31.930
understanding what are the drivers of that, if

00:28:31.930 --> 00:28:35.369
it is more sex chromosome genes or if it is more

00:28:35.369 --> 00:28:37.890
hormones. And the more that we've been able to

00:28:37.890 --> 00:28:39.730
do, we've been able to answer some of those questions

00:28:39.730 --> 00:28:41.690
around some of those diseases. And I think that

00:28:41.690 --> 00:28:44.619
that will tie in. really interestingly with your

00:28:44.619 --> 00:28:47.500
exact question, which is which diseases are we

00:28:47.500 --> 00:28:51.140
potentially protecting or becoming or exacerbating

00:28:51.140 --> 00:28:53.960
the risk to in males or females who are undergoing

00:28:53.960 --> 00:28:56.920
hormone replacement therapy? From what I know,

00:28:56.980 --> 00:28:59.500
there's not enough out there to answer that question,

00:28:59.640 --> 00:29:01.339
but I think that's going to come out as a really

00:29:01.339 --> 00:29:03.839
interesting question to answer. But for transgender

00:29:03.839 --> 00:29:06.839
individuals, but also for the rest of the population

00:29:06.839 --> 00:29:10.700
as well. I think as it does relate to the nice

00:29:10.700 --> 00:29:12.799
intersection between you know, that we're talking

00:29:12.799 --> 00:29:15.220
about performance and sports, but also about

00:29:15.220 --> 00:29:17.339
health. Because, of course, at the end of the

00:29:17.339 --> 00:29:19.019
day, we want to be healthy so that we can compete

00:29:19.019 --> 00:29:21.720
in our sport, right? So knowing the broader implications

00:29:21.720 --> 00:29:24.880
of hormones at the different stages and what

00:29:24.880 --> 00:29:26.759
it means to be taking them at different stages

00:29:26.759 --> 00:29:29.819
for your health is, yeah, a growing body of evidence,

00:29:30.000 --> 00:29:32.240
I would say. So there's a bit known as what I

00:29:32.240 --> 00:29:33.980
just mentioned, but there's still a lot left

00:29:33.980 --> 00:29:35.920
to understand with that. I don't think there's

00:29:35.920 --> 00:29:38.640
going to be one fair solution that is inclusive

00:29:38.640 --> 00:29:42.420
of all and fair to all. Yeah, there's just so

00:29:42.420 --> 00:29:45.660
much complexity in it. So I think the more we

00:29:45.660 --> 00:29:49.380
can study this, these conditions and how they

00:29:49.380 --> 00:29:51.059
relate to performance, the more we can design

00:29:51.059 --> 00:29:53.500
experiments that really help us to understand

00:29:53.500 --> 00:29:56.660
what testosterone is doing in females and in

00:29:56.660 --> 00:29:58.859
female muscle and in female performance. The

00:29:58.859 --> 00:30:01.160
best that we can design those experiments and

00:30:01.160 --> 00:30:05.299
answer that question and have a threshold that

00:30:05.299 --> 00:30:07.680
maybe is really based off of strong scientific

00:30:07.680 --> 00:30:10.140
evidence. You know, you would say you would have

00:30:10.140 --> 00:30:12.250
a gene. panel and you could look at all the DSD

00:30:12.250 --> 00:30:14.529
genes and then you can make decisions. But yeah,

00:30:14.569 --> 00:30:16.990
there will be individuals that fall in that in

00:30:16.990 --> 00:30:20.210
-between spectrum. And that's a lot of the issues

00:30:20.210 --> 00:30:23.309
that we also, that also individuals with DSDs

00:30:23.309 --> 00:30:26.430
will experience with making medical decisions

00:30:26.430 --> 00:30:29.029
with their conditions is, you know, if you're

00:30:29.029 --> 00:30:31.309
somewhere in the middle, how do you choose which,

00:30:31.430 --> 00:30:33.750
you know, it's hard to draw a line in biology

00:30:33.750 --> 00:30:36.410
in that sense. So I think it's hard to draw a

00:30:36.410 --> 00:30:39.170
line in sport as well, which I think I kind of

00:30:39.170 --> 00:30:41.470
repeated. this before, but I think, yeah, my

00:30:41.470 --> 00:30:45.049
simple answer is that it's too complex. And there's,

00:30:45.049 --> 00:30:47.549
in my opinion, there's just not going to be one

00:30:47.549 --> 00:30:50.390
solution that fits for all. And the more that

00:30:50.390 --> 00:30:52.390
we can base it on scientific evidence and strong

00:30:52.390 --> 00:30:55.390
scientific evidence that's robust and not biased,

00:30:55.589 --> 00:30:58.089
just the most, it'll be the most fair that we

00:30:58.089 --> 00:31:00.329
can have for the most people. But yeah, I think

00:31:00.329 --> 00:31:02.390
that's the best that we can do. All right. Is

00:31:02.390 --> 00:31:04.650
there anything I didn't ask about, but you think

00:31:04.650 --> 00:31:08.170
it's important to bring while we're on this topic

00:31:08.170 --> 00:31:10.779
today? Yeah. As long as you think that I explained

00:31:10.779 --> 00:31:12.940
the sex development pathways and how it doesn't

00:31:12.940 --> 00:31:15.400
solely rely on SRY, because that was the main

00:31:15.400 --> 00:31:18.460
takeaway that I wanted to get across here, because

00:31:18.460 --> 00:31:21.200
I know from friends who competed in the last

00:31:21.200 --> 00:31:23.900
world championships that, you know, they did

00:31:23.900 --> 00:31:26.579
their SRY test and all was good and well, but

00:31:26.579 --> 00:31:29.099
the athletes don't actually understand the meaning

00:31:29.099 --> 00:31:31.720
of it, I think, at a deeper level. And not that

00:31:31.720 --> 00:31:33.680
I expect people to, because it is complex and,

00:31:33.740 --> 00:31:35.960
you know, the average person isn't studying sex

00:31:35.960 --> 00:31:38.059
development pathways in their free time. But

00:31:38.059 --> 00:31:39.859
I think that when you're subjected to take a

00:31:39.859 --> 00:31:41.359
test, that's going to tell you something about

00:31:41.359 --> 00:31:43.680
yourself. And when all of your peers that are

00:31:43.680 --> 00:31:45.720
competing are subjected to take that test, I

00:31:45.720 --> 00:31:48.599
think that there should be more information out

00:31:48.599 --> 00:31:51.420
there to understanding the complexity of it and

00:31:51.420 --> 00:31:54.619
what it really means to have an SRY test. Because

00:31:54.619 --> 00:31:57.099
I don't know if I touched upon this, but simply

00:31:57.099 --> 00:32:01.019
having the regulations state that SRY is used

00:32:01.019 --> 00:32:03.500
as a proxy to determine if you have a Y chromosome

00:32:03.500 --> 00:32:05.420
or not. And that's their kind of their bottom

00:32:05.420 --> 00:32:07.140
line. If you have SRY, then you're going to have

00:32:07.140 --> 00:32:08.400
a Y chromosome. Y chromosome and vice versa.

00:32:08.519 --> 00:32:11.220
But that's the part that's just not 100 % true

00:32:11.220 --> 00:32:13.799
because you can have or not have S or Y, and

00:32:13.799 --> 00:32:15.900
that's irregardless of having a Y chromosome

00:32:15.900 --> 00:32:18.819
or not. So I think, yeah, as long as my main

00:32:18.819 --> 00:32:21.279
point came across, which is that, you know, the

00:32:21.279 --> 00:32:23.480
test that's currently the regulation is trying

00:32:23.480 --> 00:32:25.680
to make something gray, black, or white is what

00:32:25.680 --> 00:32:27.319
I'd say at the end of the day. And I think that

00:32:27.319 --> 00:32:29.900
the general population or the population that's

00:32:29.900 --> 00:32:32.859
interested in sports will gain from understanding

00:32:32.859 --> 00:32:36.950
what that really means. And also in their attitude

00:32:36.950 --> 00:32:40.250
towards dsd and their attitude towards towards

00:32:40.250 --> 00:32:43.109
sports and fairness because yeah it's just at

00:32:43.109 --> 00:32:44.890
the end of the day those are people with conditions

00:32:44.890 --> 00:32:48.109
that they didn't choose to have and not that

00:32:48.109 --> 00:32:50.809
and it's not necessarily a bad thing so yeah

00:32:50.809 --> 00:32:53.349
and i think and my other main thing that i want

00:32:53.349 --> 00:32:56.750
to make sure got across is that dsd and transgender

00:32:56.750 --> 00:33:00.150
those are two entirely different situations and

00:33:00.150 --> 00:33:01.890
i think that commonly they're grouped together

00:33:01.890 --> 00:33:05.569
and that's not fair to either of them right with

00:33:05.710 --> 00:33:08.329
with differing reasons for their circumstances.

00:33:08.849 --> 00:33:11.130
And yeah, I just think that the more knowledge

00:33:11.130 --> 00:33:13.690
that anyone has, the more they can make an informed

00:33:13.690 --> 00:33:16.150
decision that is the best for them and suits

00:33:16.150 --> 00:33:19.390
them the best. So people that are involved in

00:33:19.390 --> 00:33:21.609
athletics or involved in sports are very interested

00:33:21.609 --> 00:33:23.670
in a lot of coaches and stuff that they just

00:33:23.670 --> 00:33:25.589
want to understand. Like the recent regulations,

00:33:25.869 --> 00:33:28.609
what do they mean? Is it fair? Is it not fair?

00:33:28.849 --> 00:33:31.089
How much of it is evidence -driven? How much

00:33:31.089 --> 00:33:34.230
of it is political? So I think that I've come

00:33:34.230 --> 00:33:35.869
across a number of people that are just really

00:33:35.869 --> 00:33:37.750
interested in understanding what the regulations

00:33:37.750 --> 00:33:40.490
even mean. Where did it come from? So, yeah.

00:33:40.630 --> 00:33:43.930
Right. And if it affects the athletes, it's good

00:33:43.930 --> 00:33:48.089
to understand how. Because when you see cases

00:33:48.089 --> 00:33:51.630
in media, you make up your mind on the small

00:33:51.630 --> 00:33:54.670
part that you understand. And then you say, oh,

00:33:54.730 --> 00:33:57.329
they should do this. black and white solution

00:33:57.329 --> 00:34:00.089
but what you're showing here is that's actually

00:34:00.089 --> 00:34:03.670
pretty complicated and to do it right you need

00:34:03.670 --> 00:34:07.210
to spend time and do some research and and so

00:34:07.210 --> 00:34:10.630
on so it's even with the organizations that are

00:34:10.630 --> 00:34:14.250
trying to sort it out and are basing their regulations

00:34:14.250 --> 00:34:17.539
on The science we have at the moment, even these

00:34:17.539 --> 00:34:21.800
organizations are not perfect because it is so

00:34:21.800 --> 00:34:24.239
complicated and hard to do. Exactly. Yeah, well

00:34:24.239 --> 00:34:26.239
said. All right. Two short questions to finish.

00:34:26.380 --> 00:34:30.050
If you could make one. change in sports on the

00:34:30.050 --> 00:34:32.949
base of your research, previous or the research

00:34:32.949 --> 00:34:35.210
you do now, what would it be? I don't think that

00:34:35.210 --> 00:34:38.730
I have any specific change today or tomorrow

00:34:38.730 --> 00:34:41.590
that I would implement based off of what we know.

00:34:41.730 --> 00:34:45.090
But I do think that understanding that putting

00:34:45.090 --> 00:34:48.130
two thresholds, an SRY threshold and a testosterone

00:34:48.130 --> 00:34:52.210
threshold on performance is just a simplistic

00:34:52.210 --> 00:34:54.769
view. And I think it'd be good to appreciate

00:34:54.769 --> 00:34:58.389
the complexities. of sex development and how

00:34:58.889 --> 00:35:01.210
There's more to it than just those two things.

00:35:01.269 --> 00:35:04.349
So I think mainly it'd be to have the data supporting

00:35:04.349 --> 00:35:07.030
it. And so to have, I think I mentioned before,

00:35:07.070 --> 00:35:08.889
to have, again, there's nothing I would change

00:35:08.889 --> 00:35:10.429
today or tomorrow because we just don't have

00:35:10.429 --> 00:35:13.210
the data yet. But to be able to have the data

00:35:13.210 --> 00:35:15.889
and the evidence to choose a threshold for testosterone,

00:35:15.969 --> 00:35:20.010
to choose maybe a receptive level or sensitivity

00:35:20.010 --> 00:35:23.230
to the testosterone, and maybe to just have the

00:35:23.230 --> 00:35:26.590
information to support that threshold that whatever

00:35:26.590 --> 00:35:30.019
one gets ends up. getting chosen and you know

00:35:30.019 --> 00:35:32.539
if there are individuals that fall in between

00:35:32.539 --> 00:35:36.239
because of the sry test to have an avenue for

00:35:36.239 --> 00:35:38.440
them and for it not to be black and white for

00:35:38.440 --> 00:35:40.739
those individuals that don't fit into that black

00:35:40.739 --> 00:35:43.599
and white category so that they at least have

00:35:43.599 --> 00:35:45.780
some clarity but i think at the end of the day

00:35:45.780 --> 00:35:48.500
i feel like i'm very repetitive but at the end

00:35:48.500 --> 00:35:50.440
of the day like i don't have any specific changes

00:35:50.440 --> 00:35:53.619
i'd make i would just like to see things be supported

00:35:53.619 --> 00:35:58.679
by robust science and for that to be the driver

00:35:58.679 --> 00:36:03.320
and not for a political agenda or anything else.

00:36:03.519 --> 00:36:05.920
And not that I'm saying that that is what's happening,

00:36:06.019 --> 00:36:08.940
but just that it's hard for a scientist to see

00:36:08.940 --> 00:36:12.329
when... Decisions beforehand were made around

00:36:12.329 --> 00:36:16.909
the different thresholds and people studying

00:36:16.909 --> 00:36:18.949
endocrinology and knowing what we know, we're

00:36:18.949 --> 00:36:20.949
like, where are these thresholds coming from?

00:36:21.289 --> 00:36:25.989
The evidence to support it, especially the testosterone

00:36:25.989 --> 00:36:29.369
threshold, are pretty weak. So lower evidence

00:36:29.369 --> 00:36:31.969
-based decisions, guidelines, let's put it that

00:36:31.969 --> 00:36:35.079
way. All right, and the last. question to finish

00:36:35.079 --> 00:36:37.420
is where people can find you if they want to

00:36:37.420 --> 00:36:40.719
look at your research, get in touch, look what

00:36:40.719 --> 00:36:43.639
you're up to. I'm not very active, but I do have

00:36:43.639 --> 00:36:45.960
a LinkedIn account. That's my first and last

00:36:45.960 --> 00:36:49.159
name. And our research, I mean, anywhere that

00:36:49.159 --> 00:36:52.559
if you search Google Scholar or PubMed, then

00:36:52.559 --> 00:36:55.960
any peer reviewed publication. comes out there.

00:36:56.079 --> 00:36:58.559
So thank you so much, Shani. Huge pleasure to

00:36:58.559 --> 00:37:01.440
talk to you and thank you for agreeing to talk

00:37:01.440 --> 00:37:04.980
about the topic that is hot and very debated

00:37:04.980 --> 00:37:07.619
at the moment. Thank you. Thanks, Alex. It's

00:37:07.619 --> 00:37:09.159
been great again speaking with you.
