Video summary
Dr. Giles Yeo presents an in-depth exploration of the genetics governing body weight, focusing on how hormonal signals regulate food intake within the human hypothalamus as a central fuel sensor. By utilizing advanced techniques such as single-cell genomics and spatial transcriptomics, his team has mapped approximately 450 distinct populations of neurons in both mouse and human brains to create detailed atlases of these feeding circuits. While most fundamental circuitry is conserved across species, the research reveals therapeutically significant differences; for instance, GLP-1 receptors, which are primary targets for drugs like semaglutide, exist exclusively as neuronal markers in humans but show different co-expression patterns compared to rodents, highlighting the complexity of translating animal models to human treatments.
The presentation identifies specific genetic drivers that profoundly influence metabolism and development without always fitting traditional definitions of "obesity genes." Mutations in the MC4 receptor are particularly notable, affecting roughly 3% of the global population by causing severe obesity and altering food preferences toward high-fat rather than sugary options; this pathway is evolutionarily conserved, with similar mutations observed in red-haired humans, Labrador Retrievers, bacon pigs, and blind Mexican cavefish where they aid survival. In contrast, variations in the MC3 receptor primarily delay puberty without directly impacting body weight, as evidenced by a rare mutation found in an individual from Bangladesh who experienced delayed maturation into his twenties but remained fertile, demonstrating that these genes regulate somatic growth and timing rather than just caloric storage.
Beyond specific gene mutations, Yeo discusses broader trends such as the secular shift toward taller stature, earlier puberty, and increased adiposity mediated by the central leptin-melanocortin pathway involving both MC4 for appetite regulation and MC3 for lean mass control. Gene burden analysis of hundreds of thousands of exomes has uncovered novel genes like *BASSON*, which links to adult weight gain but not childhood obesity, while also clarifying that many carriers of dominant MC4 variants maintain healthy weights due to significant background genetic influences. The talk further distinguishes between the biological hyperphagia caused by leptin or MC4 deficiency and non-homeostatic binge-eating disorders, noting unique phenotypes such as lower blood pressure in obese individuals with these mutations which may explain their higher representation among athletes like NFL linemen who avoid typical cardiovascular risks associated with obesity.
In conclusion, Dr. Yeo emphasizes that obesity should be understood not merely as a result of poor choices but as a chronic relapsing brain disorder driven by evolutionarily conserved pathways identified through modern genomic tools. The research underscores the necessity for nuanced terminology when discussing genetic variants, acknowledging that population data often contradicts simplistic dominant-recessive models and reveals complex interactions between genetics and environment. By mapping these circuits in detail, scientists can better understand how long-term energy signals like leptin interact with short-term gut hormones to regulate appetite, ultimately paving the way for more precise therapies tailored to specific genetic profiles rather than a one-size-fits-all approach to treating weight-related conditions.
Read the full video transcript
hi everyone so I am especially excited
to introduce Dr Giles Yao who from for
the na NH di seminar series um I
personally have been following his work
and His science communication for many
many years um I may be the unofficial
head of his NH fan club I'm not sure but
I I would take that position um this is
all for a really really good reason um
so Giles Yao is a professor of molecular
neuroendocrinology and program leader of
the MRC metabolic diseases unit in
Cambridge a fellow of Wolfson college
and honorary president of the British
dietetic
Association uh he was appointed as an
MBE in the Queen the Queen's 2020
birthday honors for services to research
communication and engagement I had to
look this up um it means that he's a
member of the most excellent order of
the British Empire which sounds very
impressive um he won the society for
endocrinology medal in 2022 which I know
is impressive um and as I mentioned he's
a very prolific science Communicator
presenter of science documentaries for
BBC podcast host author of two very good
books um I won't go on but I will just
remind the audience that this is hybrid
so if you are online please submit your
questions in the Q&A on zoom and if
you're in the room please use the mic uh
so that those online can hear you so
without further Ado I will bring you on
up to to start the talk
thank you very much uh Susan for
inviting me I am glad I wasn't sent home
and that's all I'm saying about it so um
folks um so my name my name is um my
name is Giles thanks I'm based at the
University of Cambridge and I'll be here
talking about um mapping well actually
I'll be here to talk about the genetics
of the genetics of body weight but I'm
beginning this um Talk slightly
differently there'll be two parts to
this talk the first will be um my
efforts or our efforts in mapping
feeding circuits within within the human
brain and we we can we can go with that
then there'll be a pretty hard left turn
and you'll and you'll see that
inflection point pretty clearly when I
then go um from there into into genetics
but then using as well this um resource
that we've created um um in order in
order to do things and and so look I'm a
I'm a geneticist by trade and I think
being a geneticist is a perfectly
upstanding thing to do you know my
mother-in-law still speaks to me so yay
um but um when people ask what I study
um and I say I study body on one end of
the spectrum just happens to sit obesity
immediately I become the bad person and
I become the bad person because I'm
perceived as giving fat people
overweight people people living with
obesity terms I do not use in any
pejorative fashion whatsoever and excuse
which philosophically has always been a
very interesting take for me because if
I was studying the genetics of pretty
much everything else okay um cancer
dementia arthritis whatever you know
would I suddenly be giving the those
people suffering from those conditions
and excuse no I'd be trying to
understand biology mechanisms I mean God
forbid I might be trying to help
somebody but when we talk about body
weights Suddenly It's infused with
choice and so this this mish mash of a
lecture which I've kind of a talk which
I've put together hopefully there's some
element of a of a rebuttal within there
so mapping the feeding circuits in the
in in in the human oop sorry in the
human brain so um we work on this uh
General schema um in which we try and
understand the control of of food intake
and your brain needs to know broadly
speaking two pieces of information in
order to influence your food intake
internal internal pieces of information
it needs to know how much uh fat you
have your long-term energy stores ose
tissue uh Mass which is how long you
would last without any food um and it
needs to know um what your short-term
energy stores and this is going to come
from your gastrointestinal tract um all
of these are hormonal these long and
short-term signals are hormonal they
circulate in the blood clearly and then
signal to a part of the brain called the
hypothalamus for those of you who don't
know where the hypothalamus is Bridge of
the nose base of the brain sitting right
above the pituitary in human beings is
about the size of your thumbnail shape
of an almond and within the context of
body weight because hypothalamus does
many things but within the context of
body weight it acts as a fuel sensor so
it acts as one of the key areas in the
body which sensors these long and
short-term signals your brain then
responds and translates these signals
and then influences your next
interaction with a menu with a
refrigerator or with a restaurant and
and as I said there are genetic
modifiers that run throughout this
process and we now know that the
genetics of body weight is by its very
definition the genetics of how our brain
influences our feeding Behavior okay so
that that that is where uh we're
actually coming from now I'll be
focusing on one part of the of the uh of
the brain the hypothalamus which I said
but the hind brain also um performs some
elements of this um of of the same
effect so this is a a schematic of the
um of the hypothalamus over here it's
obviously a squashed um schematic of it
and I highlight this um because a it's a
it's a it's probably the most
heterogeneous part of the brain so
that's interesting in of itself but I've
also drawn you know specific neuronal
populations here like pomc neurons and
arrp neurons and I highlight this only
to say that we have a tendency when we
draw and I drew this figure when you
draw these figures um um like that where
you you have a tendency to sort of think
that these are homogeneous groups of
neurons which they're not because I
think within there within these pumpy
neurons agrp neurons whatever neurons
there is a lot of heterogenity
therapeutically relevant heterogeneity I
want to I want to argue that sits within
there which is of interest to us to
actually um to actually study and so we
use single cell genomics as well as
spatial technology in order to try and
unpick the heterogenity of of single of
of of the hypothalamus we began in the
Mouse um and this is published I'm we
just show just just showing this one
thing where where what we did was using
our own data as well as pulling together
um 17 or 18 of the largest at the time
um um single cell work in mice we sort
of integrated all the data so that we
could actually use it as a comparative
database um um in order to do so and so
we ended up we ended up on the um on on
on the cover which is always a good
thing couple of things though about this
um this is version one and so this this
version two is coming up soon hyperap 3D
we call it but it says Mouse
hypothalamic Atlas on on the journal
cover I'm not complaining but I am
complaining a couple things that's not a
mouse brain that's the first that's the
first problem and that's not the
hypothalamus so entirely inaccurate but
I didn't pick the I didn't pick the
figure um the picture and so and you can
go to the QR code and for those of you
who care about this and actually play
with the data but a big reason for us
doing this initial work in terms of in
terms of mapping the the mouse
hypothalamus is to sort of use it as a
testing ground for the algorith Ms and
Technologies we were going to need to do
for our Prime project which is to do the
same thing within the human hypothalamus
now the human hypothalamus for obvious
reasons it's quite difficult to get to
you can't get to a human brain legally
um um you know from a living uh being um
but now with a obviously the single cell
and spatial Technologies as well as
access to human brain donors from brain
Banks we're now able to actually put
this um um um put this together so we've
used the MRC brain Bank Network for this
but recently we've now got got access to
the NIH brain Bank as well um and so
we'll be begin to get uh brain samples
as well from the from from the brain
Bank this brain Bank Network I don't
think is a I think is a rather dispersed
um um Center for for that and so here is
the human um our efforts okay which is
John just gone in press and should be
out hopefully in a in a few in a few
weeks and you can see here a um map for
those of you who work with single cell
data um this is this is what this is and
we have divided it up from non-neuronal
cells and neuronal cells that are here
and then there's a a circular dendrogram
a circle of life shall we shall we say
in which we can actually then see the
various neuronal populations we've only
given the first four levels here so
there's actually more um visual but it
actually goes up to six levels and there
are 450 or so different types of
different types of of of population 40%
neurons 60% non neurons um from from
there so if you then um the first thing
we did was to actually compare the human
database to the mouse database okay
because yes we use mice as a model but
how similar because it's one of these
things right where the vast majority of
feeding circuitry at the moment the our
understanding has come from has come
from Mouse work and we are very very
good at now removing specific NE
specific genes from specific neurons at
specific times but how many of these
populations actually exist in the human
in the human context and so this pretty
diagram over here broadly speaking it's
most of the populations that matter do
exist in both humans and mice broadly
speaking which is why we use mice as
models and that's absolutely fine but
what I want to and I'll give you one
specific example later there are
relatively nuanced but therapeutically
relevant differences that are well worth
actually trying to understand when we
when we're looking at these and I'll
highlight one of those um one one one of
those in in in a bit and so we also use
spatial transcriptomics in order to try
and understand this and so this is uh um
a few brain slies and you can see here
for example you can see the the the
spatial markers here's the arute nucleus
here's the ventral medial hypothalamus
here's the paraventricular nucleus not a
lot there because it's a different slice
um and then here you can see this the
the reasons why spatial transomics is
important um these are glutamatergic
neurons these are gabaergic neurons and
you can see that there is a enrichment
of glutamatergic neurons within the
ventral metal hypothalamus whereas
gabaergic along the outside so there are
always spatially distinct um things that
we can actually tell tell from here now
that was not at the time when we did
when we did that work it wasn't single
cell level okay now you can get single
cell um um genomics sorry single cell
spatial transomics and so we needed to
sort of put the Single Cell stuff
together with the spatial stuff together
and so we used a basian approach called
cell to location which is written by the
Bor lab from the sang Institute in order
to deconvolute the single cell data into
the into the spatial into the spatial
data and so this is what it looks like
um we've taken just the ventromedial
hypothalamus and at level three we find
five different um five different
clusters of of of cells of neurons and
this is what it looks like when you
actually map it from a spatial
perspective they all map within the
ventom medial hypothalamus that's
because it's not surprising that was our
what we choosing it but you can see that
each of the five and they're colorcoded
each of the five different um um
clusters here maping different so the
blue one for example Maps um here
whereas the dark blue here and you can
see spatial distinction now this is just
a pretty picture for now obviously but
this is whole transcripton which means
that you can ask any questions you
actually you actually want and from here
you can then begin to actually ask um
some some useful some useful questions
so for example now this is the hottest
thing since hot things these are the new
the new anti-obesity drugs that are that
actually around tepati or semaglutide
which is either OIC or um wovi and tur
zepeti which is either Zep bound or
monjaro um and they target the in
receptors so if we actually map The
enrtin receptors where do they actually
sit certainly within the human
hypothalamus right because all of the
the previous work about mapping this
have all come from Mouse um um have have
all come from from the mice and so if we
didn't do that and let's focus on the
gp1 receptor so gp1 receptor is the
receptor for semaglutide so OIC and and
movi so first piece of information is
that the glp1 receptor in the brain at
any rate because obviously there's also
peripheral there also peripheral
receptors in the brain is exclusively
neuronal okay so that's the first piece
of information and then we can then have
a look to see well where within the
hypothalamus and what spatial what
spatial um relevance is there so here
for example um is something within the
paraventricular hypothalamus and because
it coexpresses sim1 um it is
interestingly only the only part of the
hypothalamus that also coexpresses the
Gip receptor so glp1 receptor is for if
semaglutide tepati targets both the Gip
and the gp1 receptor so this is the only
part of the hypothalamus that is
coexpressed everywhere else they're
single operators they they they are
completely separate separate sets of
sets of neurons and if you see where
they map from a spatial perspective they
map within the par ventricle
hypothalamus now how about and how about
then within the arute nucleus so another
part of the of the hypothalamus so here
we see two distinct types of of
populations of the Gip receptors once
that coexpress the leptin receptor and
PC I'll come and talk about these in a
second and ones that Express the the
calcitonin
receptor and these then map in
completely different areas they all
Express the gp1 receptor but they map in
completely different areas so for
example the ones that coexpress leptin
receptor and PC are expressed down here
whereas the ones that Express the
calcitonin receptor are completely
different parts of the hypothalamus
wrapping um um wrapping the ones with
the with the leptin banoon pathway now
this is relevant because at the moment
Nova norisk who make semaglutide are
testing combinatorial therapies
including semaglutide together with
their calcitonin receptor Agonist ktide
called kagema so so it is important to
know you know particularly where where
the cells expressing gp1 receptor
calcitonin receptor and where they're
actually um coexpressed um as well now
here is probably one of the first um
species specific difference that that we
actually find so in human beings if you
actually in mice let's do mice first in
mice if you have a neuron that has gp1
receptor and leptin receptor and then
there are separate populations of cells
which express pump C and the gp1
receptor in in humans and this is in
mice they separate populations in mice
in humans if you have the glp1 receptor
and PC you always express the leptin
receptor as well so there are a group
of a single group of neurons relatively
nuanced but given that they're drugs
targeting all these cells with within
the brain I think it's important to to
actually understand um what they're
Express what they're Express with now
how about the Gip receptor now the Gip
receptor um unlike the glp1 receptor
within the brain is not exclusively
neuronal in fact it's mostly non-
neuronal 60% non- neuronal 40% neuronal
okay and and largely they're expressed
within within Olen sit so this big lump
of cells over here so of the 480,000
cells 450,000 cells 200,000 are olender
sites 10% of of them Express the drip
receptor what the hell are they doing
there no clue okay we have no idea what
they're what what they're doing there at
all and if you um if you look at the
neurons they're not particularly
interesting they're there they're
expressed within with within neurons so
I'm not going to show you any pretty
pictures but if you look at the
non-neuronal cells then the
oligodendrocytes have spatial
distinction that's fine we're still
trying to figure out what the hell
they're doing there but here is a really
interesting population of cells the
ependymal cells okay which also Express
the Gip receptor and you can see that
where they actually sit if they line the
wall of the third ventricle of the of
the hypothalmus it's very very very
specific now monjaro tepati is more
effective subtly more effective than
semaglutide people have been wondering
why is it because it targets both
incretin receptors in other words is it
dual organism um or does The Binding of
the gp1 receptor here enhance excess of
the drug to the whole hypothalamus I
don't know know the answer but now at
least we because we know where they're
expressed we are in a position to
actually be able to to at least ask the
questions that that that were that were
there okay and I can show you any number
of other things but I won't bore you to
that so genetics turned now okay where
we then decided to try and map the
genetics data onto these neuronal
neuronal clusters or cellular
clusters and so if we actually take gwas
genes first and there are over a
thousand of gwos L sign so if you take
the Locust uh um G the clear the nearest
Gene to the Locust with the BMI G was
hits um and map and ask which of the 452
um hypothalamic clusters if any do they
are they actually enriched in and we
actually find that 291 of these cell
types are are enriched for these BMI GW
genes and if you see where they map and
on the left hand side what you can see
here is you can see where they are
within hypothalamus neurons or non or
non neurons and you can see that the
enrichment is exclusively within neurons
so while I say that the genetics of body
weight is the genetics of how our brain
influences feeding Behavior it's not
just a geographical area it is
specifically a neuronal neuronal signal
that we see okay so that was interesting
in in in of itself then what we asked
was okay well of these thousand genes
which were driving the enrichment and
when we did that then we found that the
enrichment were not driven by all
thousand genes but were driven
specifically by 426
genes so now we have this we then did a
gene burden analysis an xwas okay to to
actually find whether or not rare
changes within the coding regions of
these genes have influence on population
level on population level changes so
just briefly what an xwas is gwas
clearly you take an individual signal
you ask whether or not it co-segregates
um with a specific trait if it's 50/50
then it's random if not and you take
each individually and it has to be
common enough to appear on on an alumina
chip or what have you all right the
difference and so it has to be common
and it's largely non-coding because 98%
of the genome is non-coding but an xwas
is what happens is you do whole exome
sequencing at scale so we're looking now
at at the whole of UK biobank for
example half a million people has been
done and now you can look at the coding
regions and look at all the changes rare
or common now an it's called an xwas or
a gene burden analysis because instead
of each individual signal being the
statistical Mo you're testing against
what you do is you aggregate all of the
changes within a given Gene so the gene
has become the statistical Moy you then
aggregate all of the changes rare or not
into it it's a gene burden and ask
changes in a specific Gene loss of
function changes is it associated with
body weight change at the population
level okay that's the what that xw is
and we found six of those genes did
reach population level of significance
now a few of them are positive controls
okay the mc4
receptor
pcsk1 uh the calcitonin receptor where
is the signal the calcitonin receptor
and PC so these we have known are
actually at at the population level but
we also identified a couple of new genes
um that I want to talk to you about so
I'm I'm going to focus now and actually
change the tenor of the talk entirely to
go to a purely genetics talk where I'm
going to focus on the melanocortin
pathway I'll talk about that in in in a
second um and then I'm going to end with
this new Gene we identify called bassoon
okay and and and that has that has
population level changes in terms of in
in terms of uh body weight so now the
leptin melanoon pathway so for those of
you who don't know what that is this is
the fat sensing part of the um of of the
brain and so leptin is a hormone it's an
ocine that circulates in proportion to
the amount of fat you have so the more
fat you have the more leptin you have
and it signals to the hypothalamus as I
um as I say within the hypothalamus
leptin signals to a population of
neurons called the pom C neurons are pro
opio melanocortin pump C is sliced and
diced by prohormone convertases into
biologically active peptides
melanocortin peptides hence the leptin
melanocortin pathway which signals to
the mc4 receptor the melanocortin 4
receptor and three receptor I'll touch
on that briefly as well in order to
influence in order to influence body
weight now for this part of the talk
there are a couple of narratives so so
first is that any all mammals and any
higher vertebrates that has a
demonstrable fat mass will have a Le
meanon pathway because this is how we
sense the fact okay um so that's
unsurprising it's a conserved pathway
what was surprising and still is I think
to those of us within the fields is that
genetic disruption of the pathway as a
strategy to influence feeding behavior
is also conserved across and so I'm
going to highlight just a couple of um
um some traditional but some surprising
animals that have naturally occurring
mutations within the pathway which
actually influences their their their
their feeding Behavior so palom SE okay
first of all so where is the first
genetic evidence that pom SE results in
severe obesity so this is work actually
done by my colleagues at the charate
hospital in Berlin anet grus
Huda and pomy is a complex molecule
because it does any number of different
things it signals to five different
melanocortin receptors um and you can
see that if you have a human um pumpy uh
mutation this is a homozygous mutation
this child has um is that he has bright
red hair because of a lack of M antin
action at the melanocortin one receptor
which is important for um skin
coloration and hair color so natural red
heads will have homozygous mutations
within the MC1 receptor making their
head Bri bright bite red okay it's a
recessive it's a recessive disorder but
actually disorder trait but actually um
40 to 45% of white northern European
Caucasians will be heterozygous for
polymorphisms when in mmc1 receptor and
you know the phenotype because you are
not you're unable to stand in the sun
without Factor 500 okay so you you you
can't there's no protection at all from
the Sun heterozygous for the MC1
receptor it's got isolated act
deficiency because it doesn't have act
that's a product of pumy and it's got
hyperphagia and obesity because of a
lack of melanocortin action at the MC at
the mc4 receptor so I we knocked out the
mice in um in 2000 in order to actually
uh in order to understand the biology
but we've also been more recently
working on Labrador Retrievers now
Labrador I don't know if there are any
Labrador owners in in in the crowd over
here but they're it's the most popular
pet dog in the UK and I think North
America as well and in in the UK we use
them to sell toilet paper that that it's
the it's the andrex puppy now and this
is work that was led by my Veterinary
surgeon colleague Elanor Elanor raffen
um because these dogs are tremendously
food motivated very food motivated you
you got to keep all your compost bin
shut everything because they'll in there
eating everything that everything
everything everything there and what is
interesting is that a percentage of
Labradors have this deletion in PC okay
so they have a they have a sort of
broken um fat sensing fat sensing
pathway now not all the Labradors have
it and so you can do when you do a
genotype phenotype correlation and what
you see here is a weight in kilograms
you can see a gene dosage effect so the
heterozygous um Labradors are on average
2 kilos heavier than the wild types and
the homozygous on average four kilos
heavier and that doesn't sound like an
awful lot but Labradors only get to
around 30 to 35 kilos so so 4 kilos is a
lot of dog now then when we did food
motivation and in this particular
situation the food motivation was done
by questionnaire to the owners not the
not the dogs um but actually they're
modified feeding Behavior questionnaires
for parents okay to to their children
because some people consider pets as
their children but modified
questionnaires and it works and you see
exactly exactly the same exactly the
same pattern over here and the
interesting thing about studying food
behavior in dogs I'm not a doggy person
um but obviously I'm also vet is that
you can't use a traditional Buffet ad
libitum test meal and the reason you
can't do that is because dogs in
particular Labradors don't actually know
when to stop so if you given them all
they will really literally harm
themselves so at the moment what Elanor
does for example one of the studies in
addition to question is is there is a
sausage in a cage study sausage in a
cage as you might imagine you have a
sausage you have a cage and you can't
get into the cage without opposable
thumbs okay and so the dogs don't and so
the experiment is how long will the dogs
focus on the sausage in the cage a
bloody long time is the answer okay when
when it doesn't when it and so that's
the some of studies that that we're
actually that we're actually doing okay
so this is what I was saying a couple of
kilos per um per deletion alio um and3
of a standard deviation of body weight
for those of you who follow the BMI GW
studies three times the effect of fto
but this is not the end of the real the
story a couple reasons why first only 20
to 25% of pet Labradors have this
deletion um and so um but 95% of pet
Labradors are really food motivated so
Elanor right now is throwing the genetic
book at this omix and was and whatever
at it okay in order to try and find and
she's got a paper now actually impress
um at science in which we've actually
she's identified a few more genes as um
as well so Point number one point number
two there's a dunum um to this to this
particular tale so Pat labors are have a
wonderful temperament which is why we
have them as pets but Labradors are also
very very very trainable in fact they're
so trainable they're primarily used as
assistant dogs guide dogs for the blind
in particular and guide dogs are like
the Navy Seals of the dog world I mean
they've been trained within an inch of
their life because they're about to be
given a human being to look after for
the rest of their life and they and the
the the training pyramid is very steep
loads of failure nothing happens to them
they become pets um but you get the few
the proud the guide dogs and they're
trained interestingly using pavlovian
approaches with food okay 80% of
successfully trained guide dogs have
this deletion in PC so here here's the
concept okay imagine if I'm if I'm the
guide dog and I'm bringing home visually
impaired Mr Smith okay
and what happens if suddenly a chicken
runs across the road now in doggy
algorithm what are the chances of having
chicken for dinner is it 50/50 is it
8020 it doesn't matter because the
successfully trained Guy dog understands
that it has a 100% chance of getting
dinner if he brings Mr Smith home safely
because of the selection pressure that's
actually applied um applied upon there
so we ended up also on the cover of this
particular uh journal the human being is
Elanor she's who still leads the study
um and uh Jasper is the is the chocolate
lab that's there one of our one of our
participants so for those Labrador
owners who go back home and the dogs
have big googly eyes and said oh Jasper
loves me he doesn't love you he's hungry
it's true I'm just telling you the truth
ladies and gentlemen just telling you
the truth so so this is where I actually
ended up on um on in terms of from a
chronological order where I ended up on
the scene this was my first um paper out
of my postdoc and we identified that
mutations within the mc4 receptor which
pomc binds to so we're now working down
the pathway pomc binds to the mc4
receptor results in severe obesity but
here we get is where I think it gets
interesting now it's interesting enough
that the next few slides are focus on
the mc4 receptor and there are number of
interesting things about the mc4
receptor so first it doesn't only make
you eat more it actually changes your
feeding Behavior so this is not work
that's done by me it's done my done by
my colleagues so this study over here
uses a chicken curry eaten M study I'll
explain I'll explain it in in what in in
in a second why all right so first of
all the study participants you're going
to have people with mutations in the mc4
receptor all heterozygous mutations um
so therefore have severe obesity um you
have body weight matched individuals but
without the uh without the mutation in
mc4 receptor and then you have controls
now the study is you walk
and let's start with a curry study there
three trays of Curry now why Curry
because you can adjust the amount of fat
that goes into the food by whisking in
vegetable oil all right now it won't
change the flavor but it might change
the texture and some people like
greasier food other people don't it's a
it's a you know it's a personal personal
taste so you come in all three groups
you taste all three curries you rate the
one you like the most and then you eat
then you eat the one you want so you
could you as you might imagine there's a
normal that's a distribution but all of
the people with mc4r uh mutations go for
the high fat option all of them so were
we surprised well we thinking well we
know that mutations in the pathway make
you eat more maybe one of the mechanisms
is by making you eat more energetically
dense food then we get to the eat and
mess study which was interesting so what
is eat and mess eat and mess is what
happens when you take a Pavo Pavo drop
it onto the floor and scrape it back
into a bowl all right so it's an eatan
mess but what happens there is you can
adjust the amount of sugar in eaten mess
in the whipped cream and in the merang
so now you reset the study up but now
with a goldilock selection of the amount
of sugar and here's the interesting
thing the mutations the the carriers of
mutations in the mc4 receptor all went
for the lowest sugar option so now one
mutation one Gene and suddenly we like
high fat food and the low sugar low
sugar option here for that so it doesn't
only make you eat more it changes your
feeding Behavior interesting fact number
one interesting fact number two it's
more common than we thought okay so we
were studying it as a rare condition
within severe on onset obesity but then
we begin to realize in in true severe
obesity so 99.9 centile we were probably
finding it anywhere from 6 to 10% of the
population so really quite relatively
High uh but in severe obesity but what
happens in the general population so
this we worked with our colleagues um in
Bristol um who work with the aen
longitudinal study of parents and
children all right and it's a it's aan
because of the river aan which actually
come come comes out by
Bristol and this is a Birth Cohort
rather than a disease cohort so in other
words we didn't go out and find severely
obese people this women pregnants
between 1990 and 1992 were invited to
come to the study in Bristol and then
their offspring have been followed up
since then so now they're in the 30s
obviously it's colloquially it's called
the children of the 9s study um but it's
called alpc it's 12,000 participants so
we screen and is an all okay so anyone
there so we screened the mc4 receptor um
in this cohort and found that 3% have
lost of function mutations in the mc4
receptor so if you extrapolate that to
the UK population 66 million people it's
200,000 individuals all right if you
extrapolate that to the US population
there more than a million people with
mutations within the mc4 receptor and
there is no good reason to imagine why
there are differences certainly in these
rare loss of function mutations rather
than Snips in prevalence in different
populations because we found mc4
mutations in pretty much every um um
population we have looked for to date
and as you'll soon see in most creatures
as well all right so 3% okay which is a
lot which is a lot of people so what
does it look like what happens in the
wild okay so at 18 years old because you
remember this is a longitudinal study at
18 years old heterozygous mutations in
the mc4 receptor mean that you are on
average nearly 18 kg heavier so 40 lb
okay that's a lot of weight heterozygous
mutation this 18 kilos average is
roughly speaking 5 BMI points so it's a
lot of BMI points 20 to 25 25 to 30 and
of that 18 kilos average 15 kilos is fat
200,000 people more than a million
people within within um within this
country potentially having mutations
interesting point number two interesting
point number three there is now a drug
that targets the system so this is the
same group that identified the first
kids with the bright red hair for pump
seed deficiency
um and they work together with the
pharmaceutical company Rhythm
Pharmaceuticals um with an mc4r agonista
drug called set meanti okay so this is
the original paper the proof of concept
paper um it's all color coded so just
follow uh just look at the red growth
curve that we actually have here and the
study here is set pantide so daily
injections which binds to the mc4
receptor um in the two in two kids with
no pump C homozygous pump C mutations
and just to give you an idea of scale so
patient one in red at 18 years old
patient 1 is 160 kg all right so that's
what 350 lb there and there about these
are big people okay so and then patient
one is treated so patient one is treated
for 42 weeks so the xaxis is uh is weeks
the Y AIS is weight in kilograms and
what you can see here is after 42 weeks
of treatment patient one has lost 50 kg
5 now the longitudinal data is now out
just came out of a couple of years ago
same color coding look at the red
patient one again and the x-axis Still
Remains weeks so we see now that it's
gone out to 7 years 350 weeks or so
couple of things you can see that the
maximum weight loss is achieved around
the 2year mark 110 weeks or so 70 kilg
has disappeared a whole of me has
disappeared from this human being
because of daily injections of um of set
meanti and so this drug so there's a
drug that targets the system and is
really energ I the field so this drug is
now approved um by the FDA for now um
has now been approved uh for rare
genetic causes of obesity so pomc
deficiency pcsk1 which is the enzyme
that chops up pomy deficiency leptin
receptor deficiency um B Beal syndrome
and a couple of other rare disorders and
is currently being trialed and tested
for mc4r deficiency it's I don't think
it's going to be a OIC Blockbuster thing
it doesn't appear to work particularly
effectively in generalized obesity but
certainly when it comes to specific
genetic causes of obesity this is a this
is actually a well uh uh worked out
system now okay interesting point number
three the last interesting point is if
you think about 3% it's not super rare
it's not super common but you know that
evolution is pretty damn good at
stripping out a change that has negative
consequences no matter how small to your
reproductive uh capabilities so it's
kept it around for some different for
some reason what happens when we look at
other species okay so for example let's
look at the livestock industry okay now
these pigs not that pig that Pig's from
Google but the pigs within within this
particular um um paper here are breed
for bacon okay that's just what they are
they're bacon pigs so what are what are
livestock Farmers what are they doing
okay well they do selective breeding
right you pick specific traits that you
want from uh growth trajectory fat to
lead Mass ratio whatever it is and then
you do selective breeding we've done
this for Millennia this is how this is
how we domesticated
animals all of these pigs have mutations
in mc4 receptor and these are not
genetically modified Pig naturally
occurring mutations which because of
selection pressure has then been
enriched all of them have mutations in
the mc4 receptor and this is not some
weird mamalian thing neither okay so let
me introduce you ladies and gentlemen to
the blind Mexican cavefish which really
begs two questions why are they blind
and why are they Mexican I'm going tell
you the answer so the big asteroid that
came down and killed all the dinosaurs
65 million years ago hit what is now the
Gulf of Mexico or maybe the Gulf of
America anyway so so so in into the Gulf
of Mexico and when it hit the when it
hit the the bottom of the ocean cracks
form they had underwater caves fish got
stuck in them hence they are Mexican
cave fish they're blind because there's
not a lot of light there's no light in
an underwater cave so over millions of
years their eyes evolved away why am I
telling you any of this because there's
also not a lot of food in an under water
cave so any Mexican cavefish who was
remotely Blas about the planton that was
floating by and then snap it up became
an ex fish every single blind Mexican
cavefish and there are a lot of them
okay have mutations within the mc4
receptor ladies and gentlemen where is
the choice okay people think feeding
behavior is a choice I'm talking about a
fish pigs labors a million people
potentially in this country okay where
is the choice if you supply enough of a
selection pressure on an existential
trait and really there are only two true
existential traits reproduction and
feeding you fail at one you fail at L we
understand this so if you put a powerful
enough um selection pressure on an
existential tra it begins to hardwire
Behavior including feeding Behavior
where ladies and gentlemen is the choice
now let me briefly segue into the MC3
receptor now there are five melanocortin
receptors three of which are peripheral
two of which are Central in the brain
the two Central receptors are the mc4
receptor which I've just talked to you
about and the MC3 receptor melanocortin
3 receptor they're all through genome
duplication so they're all homologues of
of of each other now the MC3 receptor
was not a straightforward story um and
we were studying it at the same time we
started studying the mc4 receptor which
was the late ' 90s and equivocal okay
you would look at all of the studies
done prior to this paper I'm going to
tell tell you about and actually it was
a 50-50 thing thing about whether or not
the MC3 receptor had to do with body
weight or not so now however because we
are in an era where I'm going to argue
that that genetics has been democratized
what do I mean by this where you
actually have the large cohorts UK
biobank um any number of other cohorts
have now been sequenced whole genome
sequenced even where we can now just ask
the question about about these now we
used three different cohorts which are
probably worth uh uh telling you about
we use elbac which I already told you
about this is the long udal data but
relatively small 12,000 okay UK biobank
half a million healthy UK controls okay
that gives you power because of it but
it's cross-sectional and genes and
health now genes and health is an
interesting conglomeration of four
different cohorts it's a study 50,000
individuals a study in the UK which
focuses on UK South Asian people of
South Asian descent in from the UK in
particular people of Bangladeshi and
Pakistani descent so in in London for
example example is East London jeans and
health which is roughly 5050 people from
Pakistani descent or Bangladeshi descent
born in Bradford which is in north of
England which is pretty much exclusively
from Pakistan and a population in in
Manchester and a popul population in
Birmingham 50,000 participants why these
populations these separate studies were
originally set out as because they were
immigrant based populations as a
sociological study to see um you know
insecurity and education what what have
you and it then became a more broader
genetic study but because of the but
because there are increase of
consanguinity so cousin cousin marriages
within these populations we were then
able to identify rare homozygous loss of
function mutations so elpac for
longitudinal data UK biobank for power
genes and health for rare homozygous
loss of functional mutations which were
able to harness all three to understand
the biology of the MC3 receptor so first
UK biobank so for UK biobank we just say
okay where are all the mutations within
the MC3 receptor we functionally
characterize them and look for the loss
of function mutations and we're now in a
position to understand what happens when
you don't have the MC3 receptor so I've
colorcoded the phenotype in in the heat
map Green is increased purple is
decreased and when you have a
heterozygous mutation in MC3 receptor
you have a delay in puberty age of
manarchy in girls age of voice breaking
in boys now how much of a delay now this
depends on the level of dysfunction if
you look at this particular mutation
over here f
45s it is a dead uh um MC3 receptor
mutant okay we've tested it completely
dead um 1 in 700 carriers in UK biobank
so we found over a thousand of them if
you have a heterozygous mutation half a
year delay in puberty now remember these
are
not you know kids that are in a puberty
Clinic these are just regular normal
people normal distribution half a year
is a pretty long time for delay in
puberty now if you then focus on on this
particular mutation up here v44 I now
that is found in one in 10 UK biobank
carriers so we want 50,000 carriers
delay in Pub and it's close to Wild
heght in terms of the function and in
terms of the delay and puberty 3 weeks
but because we have 50,000 individuals
we're able to actually pick this uh do
down so delay and puberty this delay and
puberty is associated with a reduced um
somatic growth okay so this includes
atout height sitting height leg length
Total Lean mass as well as reduced igf
one but crucially if you look at all of
the anthropometric traits to do with
obesity so BMI waste of hit ratio risk
of type two diabetes entirely white okay
so within the context of population
genetics the MC3 receptor while
associated with timing of puberty and
somatic growth is not an obesity it's
not an obesity Gene we found one at the
moment we have more now but we found one
rare homozygous loss of function
mutation dead receptor so is a null
okay um and when one uh person from
genes and health and you it's a g240 W
uh mutation found in an individual of
bangladashi origin completely dead
receptor and he displayed um exaggerated
phenotypes compared to heterozygous
carriers for example he did not go into
puberty till he hit his 20s which is
pretty late but crucially he's not
infertile because he has three kids so
the MC3 receptor influences the timing
of puberty but it's not required for
it's not required for for puberty so how
might this be happening well so what we
did here was um we then went back to our
single cell of single cell data and you
can see where these are so I've mapped
just just for context I've mapped where
pom C the liand for the melanin
receptors sit we found three different
populations of pomy one that Express the
leptin receptor one that expressed
calcitonin receptor and ones that
Express so three and you can see that
they sit in different parts of the
hypothalamus now look at what happens
with you actually look at the MC3
receptor and you first of all you can
see a completely different pattern of
expression and there three different
populations of MC3 receptors we see MC3
receptors expressed on kisspeptin
neurons now kisspeptin and its receptor
gpr54 is required for puberty if you
have mutations in either kisspeptin or
his receptor you're infertile so it does
appear that MC3 receptor on kisspeptin
um neurons influences the timing of
puberty it's coexpressed with um GH R
growth hormone releasing hormone neurons
and we think that this is where it's um
mediating its growth uh phenotypes um
and so this is what we think is
happening so where what where are we
with this Central leptin melan quoten
pathway and so we have a model this is a
model um of we think a bifa model of
nutrient sensing by the central leptin
mananan pathway so so what are the
secular Trends in human biology today
well we are certainly getting fatter we
are getting taller and we're going into
puberty earlier and it doesn't matter
which populations we're studying this is
pretty much true um um at at all the
different populations and we think that
this is being mediated at least in part
by the central leptin meanin pathway so
you have these signals long-term energy
signals coming in leptin as I talked
about insulin which I haven't talked to
you about today and then via the manano
neurons via the mc4 receptor regulates
appetite and energy storage I've talked
to you at length about that but via the
MC3 receptor regulates growth a cool of
lean mass and a timing of sexual
maturation now I'm going to I'm not
talking too long okay just just a few
more minutes and so I'm going to end on
bassoon so bassoon is one of these new
genes that we identified using this this
Gene burden analysis two different Gene
burden analysis one from the hypermap
study I just showed you but one through
a study which I did with my
epidemiological colleagues so bassoon is
a pre or BSN is a pre synaptic protein
with a role in exocytosis mediated
neurotransmitter release and it's called
bassoon because it's bound to Piccolo
because scientists think we have a sense
of humor but but I think the Deep
disappointment for me is if you're going
to have a metaphor well lean into it
where's the rest of the orchestra I
don't see no clarinet where the violins
anyway it's just bass and Piccolo so
anyway so what we then did was this is
based on um on on actually inspired by a
study and this is the first example from
regeneron abbar atel in science in 2021
so relatively recently the first example
of this Gene burden analysis this xwas
at scale so they sequenced 640,000
exomes including the whole of UK biobank
as well as a number of other studies
based here in the United States okay and
um an identified a number of genes that
I described to you using that g that
Gene burden analysis that are novel and
are linked to and are linked to to
obesity okay for that so our question
John Perry who's my epidemiological
colleague and and ourselves asked the
question okay well you got to do a
number of filtering steps to get to the
stage right so what qualifies as a loss
of function this that what have you and
so if we make different filtering
decisions would we identify different
genes okay and turns out we could and so
when we then did different um um
filtering choices we then identified two
completely new genes bassoon okay which
I'm going to tell you about and apba1
which I won't U talk to you guys about
today now let me just explain what these
stick and and line and stick diagrams
actually actually are they're like a
six-dimensional um figure which for
genetic nerds is is is older older age
and so what happens here is that blue
line I can't get this straight the blue
line over here there we go is the
transcript okay just the transcript all
the introns have been spliced out now
where you meet a perpendicular line
pointing up or pointing down that's
where there's a mutation that's been
identified the if it's pointing above
the line it is increased body weight
below the line is decreases body weight
the distance away from the transcript is
the significance at the population level
that is linked to obesity or body weight
and the size of the blob the number of
mutations we identifi Six Dimensions
okay from there now the one thing we
want to get from here is that most of
the perpendicular lines are pointing up
that's the point all right and so it
increases body weight but if you
actually look at the effect size at the
population level now this is very very
rare in half a million UK biobank
carriers we found 65 carriers of protein
truncating variants which is what we
used okay so stop gains um um either
through frame shifts or nonsense
mutation stop gains and we find that it
has a larger effect size the emc4
receptor at the population level so so
for body weight it's the largest effect
size we've seen at the population level
today now the other interesting thing
about this is that it associated with
adult obesity so UK biobank is a
cross-sectional study all of the
individuals the half a million
individuals were recruited when they
were between the ages of 45 and 60 years
old and that's fine in fact the only
longitudinal thing that you study from
UK biobank is cancer okay it's probably
one of the largest ongoing cancer
studies that that that are actually
going on but there is one question okay
within within you fill in your millions
of questions that are there there's one
question and the question is regarding
your childhood is at 10 years old in
fact you can you can think about whether
or not you know the answer to this at 10
years old were you below average weight
average weight or plumper than average
the British study now I don't know about
you guys I don't know much of what
happened to me when I was 10 years old
but I did know that I was heavier than
average because everyone told you all
right and actually when you did and and
went back and checked the the the
validation for this entirely correct if
mc4 receptor just as an example I told
you. 3% if you actually look at the
signal big large signal I was larger as
a kid because big kids big adults and
most of the mutations within the malan
within the leptin malan way big children
all right bassoon not a sausage zero
signal from from adult obesity sorry
from childhood obesity it's an adult
specific onset obesity now the
interesting question which we can't
answer at the moment because of how rare
it is and the fact that is only based on
this one question is when in adulthood
so I guess there are a few options we
could consider puberty I think this is
the least likely option because 10 years
old is too close to you being able to
get the puberty but if it was py that
would imply hormones I was I I I would
have thought you could then well did it
occur at the freshest 14 or freshest 15
uh um stage now that implies choice so
you've left you've left home now you you
can go to the cafeteria buy what you
want woo and then you gain weight that's
that's a different mechanism because now
it's it's feeding Behavior question or
is it middle-aged bread okay because
something just happened when I turn 50
whatever okay now each of those would
have a slightly different mechanism we
don't know is the answer but clearly
it's a something uh um has happened some
acrel of of biology has happened that
you have really quite a large change in
body weight but specifically in
adulthood and no signal at all in in in
child in childhood and you can now see
as well as the distribution now here is
then the complexity and the slight
Nuance of it so this is the distribution
of body weight the furthest I would I
can signal this um so the furthest right
in terms of this graph that is UK
biobank the TRS so these are all the
people 400,000 or so with no mutations
in bassoon or mc4 receptor and this is
the distribution of body weight in the
British population okay the warmer
colors are people who are overweight or
have obesity and so what this tells you
is in the average British population
2third of the population have obesity or
are overweight and I think the numbers
are probably slightly higher here in the
United States but there we go um okay
now this is where it's interesting if
you then take a look either mutations in
the mc4 receptor or bassoon it increases
your likelihood of being overweight or
being obese and that's fine or having
obesity that's fine but you can see that
even with a mutation in the mc4 receptor
you can be of healthy body weight and so
when we when we first published that mc4
paper in 1998 now we called it a number
of different things we called it a
dominant mutation okay and we called it
a monogenic cause of obesity which are
big words all right and dominant is a
after all following the words of a 17th
century uh um Franciscan monk okay big
words but if you look at this data here
now these are all loss of function mc4
mutations but yet you can be normal body
weight so is it dominant right I mean
what what are we what are we talking
about here so clearly there's background
genetic information there there's a
number of other things and is it
monogenic because so it clearly is a key
genetic driver but I just think we need
to be more nuanced in our genetic terms
which we all learned and know when we
were in high school dominant you know
menal and his peas you know but I think
we do need to have a slightly more
nuanced view um um of of of genetics so
in conclusion obesity is a chronic
relapsing disease of the brain and
that's what it is the pathways
underpinning obesity are conserved
through Evolution using spatial
transcriptomics in combination with N
Seek we provide a de detailed sensus of
hypothalamic cells in a spatial context
and using this resource we have identify
new genes previously not linked um to to
to BMI so this is so with that I want to
thank my senior colleagues St rattley uh
Tony Cole the guys in bold have done the
work this is work that was done in close
collaboration with my colleagues from
the max plank um Institute in Cologne
yens Bruning Lucas stle um my uh farmer
colleagues from from Nova nois um but
more importantly the brain banks for
which we can't actually um get any of
the work uh done and this is this is the
team and if you can travel by then um we
are organizing the seventh International
Milano CED meeting in k cdge and with
that ladies and gentlemen I'm very happy
to take uh questions thank you so
[Applause]
much thank you this was uh super
interesting at then um I think I latched
on to the point when you were talking
about the Cave Fish and you were talking
about the fact that the Cave Fish had
this like you know theoretical lack of
preference for types of foods they're
just not picky yes you know and I'm I'm
wondering whether or not you had any of
the like eating Behavior or eating info
about those people who have like uh like
bassoon for instance of whether or not
these individuals are then also less
picky about the foods that they eat they
have preferences but they don't they
might have a wider swap of foods that
they're willing to eat okay but soon we
don't know because um it's they're rare
and UK bio bank doesn't have recall by
genotype however
um certainly when it comes to mutations
within the leptin melanin pathway then
we do have have data about this lepin
deficiency in particular so the first
one which I didn't I didn't show you is
they don't have any preference for food
at all so in other words
because I guess I guess the analogy I
will use is this so because leptin
deficiency means that you have no leptin
obviously in a normal situation because
it reflects fat Mass you don't have
leptin when you don't have fat when
don't you have fat when you're starving
okay now we know that that we are if
you're really hungry the simplest Foods
taste the best bit of bread bit of rice
bit of cheese if you're really really
full uh you need to have you need to
have desserts okay you need to have
something really really you become picky
with your food if you're starving
actually starving like the the kids with
um leptin deficiency and to a degree mc4
deficiency you then you eat anything
because you think you're starving so you
then lose the the perception of it and
their brain Imaging studies actually so
my colleagues I'm not a brain imager my
colleagues have actually have actually
done this way if you take people with uh
with no mutations in in the pathway and
if you put them in um uh fasted and
therefore hungry and show pictures then
your brain will will will squash
together pictures of dessert and
pictures of broccoli for example all
right if you're really really hungry
whereas the moment you are full then
suddenly you your brain only lights up
with the calorically dense food if you
take kids with leptin deficiency they
they look like they're starving because
their brain thinks they're starving even
though they're very very large but and
even if you even they're fed they have
no discrimination between the two but
when given leptin suddenly they're able
to discriminate between energy dense
foods and energy unded umum foods Foods
again so so within the LEP and pathway
they don't discriminate between um
between Foods no oh okay cool that's
really interesting
thank all right well our next person
comes up I'll ask a question from online
yep right here um so uh first question
is do you see epistatic feeding obesity
growth effects among individuals with
rare variance in different
genes ah okay that's a good question so
um these mutations in these genes are
rare enough where if you have a mutation
in the mc4 receptor like a like a whack
and graping mutation you don't have
mutations in other genes we haven't
found any any in in in this particular
pathway any overlaps yet obviously
they're going to be overlaps but just in
terms of if I can add to that to that
answer um what we then did was in our um
alpack paper the one where we looked at
mc4 receptor we then applied a polyenic
risk score for regular BMI GW Gene so
polyenic obesity and what happens we
took the the top death a and the bottom
death a and and then put against the
prism of mc4 deficiency and even with a
monogenic condition whatever that means
um if you're in a top desile you're
heavier if you're in a bottom desile
you're lighter even with mc4 mutations
so your back your other your genetic
background does matter even when you
have mutations within within this
particular pathway I think it'll metal
less with with leptin deficiency but
that's so rare is difficult to be to to
to be certain about but yes there are
there are definitely your your
background genetics
matters um so I would just thinking
about um first I really enjoyed your
talk it's really amazing um for the MC
for Gene are there has that been linked
at all with like B eating disorder or
how do Bing disorder play into this
larger picture so binging disorder is a
very is a very different thing there was
an early um New England joural thing
about saying whether or not there's an
increase in binging disorder I I
think there probably is a slight overlap
but binging disorder is different from
hyperphagia so hyperphagia is a
biological drive to eat because your
brain thinks you are hungry or don't
have enough fat so therefore it's it's a
hunger driven thing binging I'm not an
eating disorder a person but binging I
think you eat without being the hunger
so I think there are different drivers
for for for the binging there's a slight
overlap with people in mc4 deficiency
but I think that that is then a
misdiagnosis of what binge they think
that the hypophagia is binge eating I
think Bing eating disorder is an eating
disorder which is the first part of
bulimia obviously with the binge eating
and a purging um but I think that's a
drive to eat that is non homeostatically
driven it's driven for other for other
reasons um um entirely and just as an
addendum to to that question because as
a related question when we first started
studying the severe obesity people then
ask was anorexia Noosa the opposite the
severe obesi and actually it was a fair
enough question um turns out it's not
healthy leanness so people who are just
congenitally just lean and annoyingly
healthy okay is the opposite of obesity
okay because if you look at it from AP
polyenic perspective they have they have
the lighter versions or genes whatever
you want to call that
anorexia all of the signals which should
tell the the person suffering from the
condition that they're starving leptin
levels are down blah blah blah blah are
all there where the anorexia comes from
is the ability of the brain to ignore
the signal and so if you actually look
at the genetics of anorexia um then what
you see is an overlap although not
complete overlap an overlap with
obsessive compulsive disorder so and and
it requirement to control something
within the context of anorexia it's the
food intake element and so therefore
you're able to to actually ignore so the
Eating Disorders are now more of a
psychiatric condition as opposed to a
homeostatic uh uh condition but this has
only come out really in the last 10
years that we begin to know this I was
as a followup is it is do you find or
has it been found that there are a lot
of people misdiagnosed with disorder
when they actually have like hyper I
think probably I I don't know how many
people but based on this because this
New England um paper that came up was
quite a long time ago now but I would
say 15 years ago now said that it was um
that mc4 receptor is is is enriched for
binging disorder there is no evidence of
that at all given the fact that we found
so many people um it's more the
hypophagia element to it so I do think
there is a misdiagnosis of binge eating
versus versus hypophagia
[Music]
yes okay I'll ask another online
question uh first fantas fantastic talk
um are the mc3r or mc4r mutations
associated with any other phenotype than
puberty and body weight the mc4r is
widely expressed in the brain and the
MC3 are only slightly less so and a
person who eats more might deliberate
less about food choices than someone who
eats less could there be an effect on
Executive functioning or
impulsivity that's a lot of multi-part
questions U the the answer for the MC3
is I don't think it influences feeding
Behavior actually in in terms of human
beings so let's let's let's put that as
side the mc4 receptor
I I I know that people who are actually
studying it I'm not going to answer the
question because I don't know the answer
specifically about whether or not it
influence influences impulsivity I think
that actually if you consider the mc4
receptor is a genetic version of being
hungrier then I think you can probably
sort of answer that question within the
context of of um of impulsivity there is
addition there are additional phenotypes
to do with the mc4 receptor in
particular because the feeding Behavior
mc4 receptor phenotypes come from the
hypothalamus which is what I've actually
showed you but mc4 receptor is widely
expressed throughout the brain it Al it
also has has an important effect on
autonomic output so what I mean by this
so for example people with mc4r
mutations um actually have a lower blood
given their obesity lower BL blood
pressure and lower resting um lower
resting heart rate okay in fact if you
actually
um for their body weight okay for their
body weight lower incidences of
cardiovascular disease as well okay in
fact if you wonder where would I find an
enrichment for people with mc4r
deficiency given what we now know of
everything I think you need to find
people who are tall who are big very big
okay very tall and very big and actually
if you look within Athletics I think you
can find you can find people NFL linemen
I bet you if I looked that we will
probably go above 20% mc4 deficiency
because that's what because you need to
be large and not kill over because of a
coronary and these people have lower
heart rates resting and so so so for
that that that's the first thing Sumo
Restless probably I can I can think of
um I can think of as well so big Sports
rather than rather than uh fast that's
where I think we will find naturally
occurring mc4 mutations sounds like a
cool study um I'm gonna ask the last
question will the NFL fund me I don't
know yeah that's that's the right y um
okay so oh there AR so there's a
question as to whe whether any of the
Obesity genes known play a role in uh
surviving starvation or severe
malnutrition good question I don't know
I don't know the answer to that I do
know for example for specific diseases
slightly tangential that if you look at
certain there are certain diseases um
hunting disease for example rare rare
situation where you end up with um neuro
degeneration where you do a lot better
if you start at a higher body weight now
I think it's more simple sorry more
simple it's more complex than Simply
Having a larger Reservoir so you have a
larger reservoir of of of energy so
therefore you you do better and survive
longer I think it's more complex than
that and people are trying to understand
well hang on a second why do these
people who are larger do better when
they actually hit something like neuro
like neuro degeneration so that's not
exactly the question that's being asked
but I think there is likely to be maybe
not pathway direct um um elements that
are there but we can take from the
Huntington study whether or not this
might be the case and so we're out of
time so I just want to thank one more
time our speaker
today thanks folks