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INFORMATION FOR

    Thomas Biederer, PhD & Sreeganga Chandra, PhD

    October 03, 2025

    Transcript

    • 00:14Alright.
    • 00:20Hello?
    • 00:22Hello? Hello?
    • 00:24Can you hear me?
    • 00:28Yes.
    • 00:32Alright. We're gonna get going.
    • 00:38Thank you all for, coming,
    • 00:41to our,
    • 00:42for the next month, we're
    • 00:43gonna have what we are
    • 00:45calling our,
    • 00:47research,
    • 00:50symposiums
    • 00:51or bridging clinic what wasn't
    • 00:53the
    • 00:54I forgot about it. Bridging,
    • 00:57you know, clinical,
    • 00:59translational,
    • 01:00and research,
    • 01:02in our department
    • 01:03and, sort of get to
    • 01:05know,
    • 01:06some of our researchers
    • 01:08and,
    • 01:09hopefully, ask questions and, you
    • 01:11know, bring friend you know,
    • 01:14find some common areas of
    • 01:15interest. And, hopefully, this is
    • 01:17gonna lead to
    • 01:18some exciting research and
    • 01:20translation,
    • 01:21ultimately.
    • 01:23So or friendship or friendship.
    • 01:25Yeah. Exactly.
    • 01:27Grants
    • 01:28and etcetera.
    • 01:30So,
    • 01:32just to get going quickly,
    • 01:33I mean, we have two
    • 01:33distinguished, investigators from our
    • 01:38there's gonna be a lot
    • 01:39about,
    • 01:40Parkinson's disease and neurodegeneration.
    • 01:42And I'm gonna,
    • 01:44have Vanessa introduce our distinguished
    • 01:46speakers.
    • 01:50Hello, everyone. Good afternoon. For
    • 01:52those who don't know me,
    • 01:53I'm Vanessa, one of the
    • 01:54fourth year neurology residents,
    • 01:56and welcome.
    • 01:57Today, we're gonna have two
    • 01:58for the price of one.
    • 02:00So first, we're gonna have
    • 02:02doctor, Bierder.
    • 02:04He received a PhD in
    • 02:05cell biology
    • 02:06from,
    • 02:07pardon my,
    • 02:09German,
    • 02:11the Humboldt Universitat,
    • 02:12zu Berlin in Germany.
    • 02:15After his postdoctoral,
    • 02:16training with doctor Thomas,
    • 02:18Sudoff,
    • 02:20Doctor Bitter,
    • 02:21became a faculty member here
    • 02:23at Yale in two thousand
    • 02:24and three. He took a
    • 02:25position at Tufts in twenty
    • 02:27thirteen before returning to Yale
    • 02:28in twenty nineteen
    • 02:30to join the faculty at
    • 02:31the department of neurology.
    • 02:33His current research
    • 02:35addresses central questions to understand
    • 02:37the biology of synopsis,
    • 02:39the cellular structures that connect
    • 02:41neurons into networks.
    • 02:43First, how are new synapses
    • 02:46formed?
    • 02:47And second, which mechanisms control
    • 02:50synapse,
    • 02:51maintenance,
    • 02:51and what makes them vulnerable
    • 02:53and resilient in neurodegenerative
    • 02:55disorders?
    • 02:57To address these questions,
    • 02:58his research group combines molecular
    • 03:00studies
    • 03:01with analysis of synaptic connectivity
    • 03:03in the cortex and hippocampus,
    • 03:07and mouse models.
    • 03:09He leads a multidisciplinary
    • 03:11team to address brain connectivity
    • 03:13changes in Parkinson's disease, which
    • 03:15he will talk about today.
    • 03:18And doctor Chandra,
    • 03:19our second speaker,
    • 03:21received her PhD in chemistry
    • 03:23from Purdue University.
    • 03:25She pursued her interest in
    • 03:27neuronal
    • 03:28cell biology and neurodegeneration
    • 03:30during her postdoctoral
    • 03:31research.
    • 03:33Doctor Chandra became a faculty
    • 03:35member here at Yale,
    • 03:37in two thousand and seven,
    • 03:38where she's currently a professor
    • 03:40in the department of neurology
    • 03:41departments of neurology and neuroscience.
    • 03:44Her research focuses on two
    • 03:46interconnected
    • 03:47themes,
    • 03:48synapse man maintenance and neurodegeneration,
    • 03:51with a specific emphasis on
    • 03:53Parkinson's disease and related disorders.
    • 03:55Doctor Chandra's lab
    • 03:57specifically studies familial Parkinson's disease
    • 03:59genes that encode synaptic proteins.
    • 04:03She also explores the, the
    • 04:04role of the endolysisomal
    • 04:06pathway in the disease and
    • 04:08examine presynaptic
    • 04:09proteostasis
    • 04:10and dysfunction,
    • 04:11which they hypothesize
    • 04:13are central to the early
    • 04:15synaptic events,
    • 04:16of this neurodegenerative
    • 04:18disorders.
    • 04:19Today, doctor Chandra will be
    • 04:20discussing her research, in her
    • 04:22talk named,
    • 04:24elucidating the mechanisms of GBA
    • 04:26linked Parkinson's and dementia with
    • 04:28LVEE bodies.
    • 04:31Now, well, help me to
    • 04:32welcome them both.
    • 04:42So
    • 04:44thank everyone for,
    • 04:46joining our research talks today.
    • 04:48I think it's a splendid
    • 04:49idea to,
    • 04:51make, these efforts to better
    • 04:53connect,
    • 04:54clinical and basic research here
    • 04:56within the department.
    • 04:59As you can as you
    • 05:00just heard,
    • 05:02the, shared,
    • 05:03area for both the talks
    • 05:05today,
    • 05:06is Parkinson's disease.
    • 05:08And,
    • 05:09I would like to start
    • 05:10out by highlighting that,
    • 05:13our research is actually in
    • 05:15a part
    • 05:16that,
    • 05:17of the brain that normally
    • 05:18not commonly studied in Parkinson's
    • 05:20disease, namely in the cortex.
    • 05:22And,
    • 05:24the reason for this, is
    • 05:25that,
    • 05:27the majority of PD patients
    • 05:29will experience cognitive impairments
    • 05:31or even dementia. The trajectory,
    • 05:33of course, depends is different
    • 05:35for each of the patients,
    • 05:36but,
    • 05:37estimates are that up to
    • 05:38eighty percent of patients will
    • 05:40experience these cognitive
    • 05:43challenges.
    • 05:44And,
    • 05:46we wanted to understand,
    • 05:48what the mechanisms the cellular
    • 05:50mechanisms are that underlie these
    • 05:52cognitive impairments because there's really,
    • 05:54at this point, no therapeutic
    • 05:56intervention for these, problems.
    • 06:00What you see here on
    • 06:01the right is actually one
    • 06:02of the leads that we
    • 06:03already had.
    • 06:05What you see here is
    • 06:06a tissue section from cortex
    • 06:08of a PD patients.
    • 06:10And, what you see in
    • 06:12green
    • 06:13is the staining for a
    • 06:15protein,
    • 06:16named synuclein. It's actually, in
    • 06:17this case, it's be a
    • 06:19form of the protein that
    • 06:20is phosphorylated,
    • 06:21which marks the aggregated forms
    • 06:22of synuclein.
    • 06:24And the abundance of these
    • 06:26synuclein aggregates is not only
    • 06:28a hallmark of PDs or
    • 06:29as Lewy bodies or as
    • 06:31Lewy neurites.
    • 06:32Also, the abundance
    • 06:34correlates with the extent of
    • 06:35cognitive decline. So the project
    • 06:37that I will present today
    • 06:38is really based on modeling
    • 06:41these synuclein pathologies.
    • 06:45And, just to recap a
    • 06:47little bit of the literature,
    • 06:48as I mentioned,
    • 06:50dementia or mild cognitive impairments
    • 06:52at least is very common
    • 06:53in PD.
    • 06:55And there already have been
    • 06:57studies, in human patients that
    • 06:59showed that activity patterns in
    • 07:01the cortex are also disrupted.
    • 07:03And, as I just said,
    • 07:05the best,
    • 07:06indicator
    • 07:07of, dementia or progression to
    • 07:09dementia
    • 07:09is then the abundance of
    • 07:11the synuclein aggregates in the
    • 07:12cortex.
    • 07:14And so together,
    • 07:15our hypothesis is
    • 07:17that these,
    • 07:18synuclein pathologies,
    • 07:21cause damage to vulnerable neuron
    • 07:23types and vulnerable synapses and
    • 07:25that underlies or at least
    • 07:26contributes
    • 07:27to the cognitive impairments.
    • 07:31Now with this,
    • 07:34big question of how has
    • 07:35connectivity
    • 07:36changed, we try to simplify
    • 07:38it and we go back
    • 07:39to a synaptic level.
    • 07:42And there's,
    • 07:43ample data that support that,
    • 07:45this is a relevant factor
    • 07:47in in human PD patients.
    • 07:49What you see on the
    • 07:50left is an older study
    • 07:51that used immunostaining
    • 07:52for a synaptic protein,
    • 07:54and that showed that the
    • 07:55extent of synapse loss that
    • 07:57occurs in the cortex in
    • 07:58PD patients is almost as
    • 08:00high as the extent of
    • 08:01synapse loss in patients with
    • 08:02Alzheimer's disease.
    • 08:05Here on the right,
    • 08:07much more advanced studies
    • 08:09pioneered by colleagues here at
    • 08:10Yale.
    • 08:11In this case, this is
    • 08:12a paper by Dave Matuski,
    • 08:14using the PET ligand that
    • 08:17was developed here at Yale
    • 08:18to visualize,
    • 08:20the presynaptic protein s v
    • 08:21two,
    • 08:23which is a wonderful tool
    • 08:25to,
    • 08:26represent,
    • 08:27synapses
    • 08:28in line in humans and
    • 08:30actually do longitudinal studies.
    • 08:32For me, this is still
    • 08:33breathtaking that you can visualize
    • 08:34synapses in a living brain
    • 08:36and analyze synapse density. And
    • 08:38what Dave and his colleagues
    • 08:39found is that one of
    • 08:40the areas that is impacted
    • 08:42in PD patients
    • 08:44as they undergo cognitive impairments
    • 08:47is, the cortex.
    • 08:48And, actually, also, he could
    • 08:50find that, the extent of
    • 08:51synapse loss correlates with cognitive
    • 08:53impairments.
    • 08:55So there's a strong precedent
    • 08:57that from human patients that
    • 08:58is relevant to analyze,
    • 09:00synaptic vulnerability
    • 09:02in Parkinson's disease.
    • 09:05Together with,
    • 09:07several colleagues, we try to
    • 09:09get at the molecular underpinnings.
    • 09:11And what I show you
    • 09:12here are data generated by
    • 09:14Mike Henderson at the Fan
    • 09:15Adel Institute.
    • 09:17He tried to obtain mechanistic
    • 09:20leads by looking at gene
    • 09:21expression patterns,
    • 09:23and he analyzed,
    • 09:24the cortex of PD patients,
    • 09:28typically patients with dementia,
    • 09:30and compared this to a
    • 09:31mouse model. I will introduce
    • 09:33the mouse model in the
    • 09:34next slide. But,
    • 09:36the theme is that there's
    • 09:37very strongly
    • 09:39shared,
    • 09:40gene expression changes in both
    • 09:42the human patients and in
    • 09:44our mouse model.
    • 09:46And one of the,
    • 09:48clusters that was, down regulated
    • 09:51in both,
    • 09:52humans and the mouse model
    • 09:54are synaptic genes. And I
    • 09:56can show you this here.
    • 09:56So this is the area
    • 09:58that is here highlighted.
    • 10:00What you see here,
    • 10:02is named,
    • 10:03genes. These are all genes
    • 10:04that are downregulated when they
    • 10:06are shown in blue.
    • 10:08And as you can see,
    • 10:09it's involves both presynaptic
    • 10:12and postsynaptic proteins.
    • 10:15One protein that I can
    • 10:16already highlight because it will
    • 10:17show up
    • 10:18in, at the end of
    • 10:20my presentation. I hear these
    • 10:21transsynaptic
    • 10:22interactions.
    • 10:24So I will come back
    • 10:24to that later.
    • 10:26But we have a number
    • 10:27of of of leads. And
    • 10:29when we use gene ontology
    • 10:31analysis,
    • 10:32we can pinpoint that these,
    • 10:34changes
    • 10:34affect both the synaptic vesicle
    • 10:37cycle or proteins involved in
    • 10:39the synaptic vesicle cycle and
    • 10:41also proteins involved in postsynaptic
    • 10:43organization. So the,
    • 10:45damage hits on both sides
    • 10:46of the synapse.
    • 10:48Now we try to,
    • 10:51analyze this. And so the
    • 10:52first question then larger, so
    • 10:55the the main part of
    • 10:56my talk,
    • 10:58is how we can,
    • 10:59analyze or what what we
    • 11:00can learn about
    • 11:02synapse loss in this p
    • 11:03d in PD.
    • 11:05And here, I would like
    • 11:07to briefly introduce,
    • 11:09the model that we are
    • 11:10using,
    • 11:11which, as I mentioned, is
    • 11:12based on, synuclein pathology.
    • 11:15And the data that I
    • 11:15show here are generated by
    • 11:17Saroj Sar, who is here
    • 11:18in the audience.
    • 11:20What we,
    • 11:21utilize is a model where
    • 11:23we take
    • 11:24fibrils,
    • 11:25so artificially generated aggregates of
    • 11:28this disease linked protein alpha
    • 11:29synuclein,
    • 11:31and we generate them under
    • 11:32highly controlled conditions. They have
    • 11:33to have a very specific
    • 11:35size to be bioactive,
    • 11:36and we are also very
    • 11:37careful handling them in the
    • 11:39cell culture hood as you
    • 11:40probably can imagine. And,
    • 11:42so we then inject these
    • 11:44into animals.
    • 11:46Specifically, we target the dorsal
    • 11:47lateral striatum.
    • 11:49And the reason that we
    • 11:50target that area is because
    • 11:52here we have
    • 11:53very precise
    • 11:55regional control
    • 11:56because that means that the
    • 11:58cortical neurons in layer five
    • 12:00that projected the striatum, these
    • 12:02are the first ones who
    • 12:03will be exposed,
    • 12:05to the synuclein pathology. And
    • 12:07indeed, we can then show
    • 12:08that these, neurons,
    • 12:11build on themselves, develop aggregates.
    • 12:13So in a sense, it's,
    • 12:15reminiscent of the prior hypothesis
    • 12:17that the proteins synuclein that
    • 12:20we inject in its aggregated
    • 12:21form can template
    • 12:22the endogenous synuclein
    • 12:24and stem cause pathology. And
    • 12:26this is very likely what
    • 12:27happens in the in the
    • 12:29patients,
    • 12:30because, for example, the Braque
    • 12:31staging,
    • 12:33really,
    • 12:34tracks all of these changes
    • 12:35in the progression across synaptically
    • 12:38connected
    • 12:39neural populations.
    • 12:40So we use this approach
    • 12:41to specifically set,
    • 12:43pathology in the cortex of
    • 12:45temporal and spatial control.
    • 12:47And, the way these data
    • 12:49look like in this mouse
    • 12:50model, here's data from the
    • 12:51cortex. And I would ask
    • 12:53you just focus on the
    • 12:54bottom row because here, you
    • 12:56see the synuclein
    • 12:58aggregates
    • 12:59easier because they are marked
    • 13:00in red.
    • 13:02And, when quantifies
    • 13:04the progression of pathology, you
    • 13:05see a significant increase
    • 13:08between
    • 13:09the,
    • 13:10starting, like, one month post
    • 13:12injection to later time point.
    • 13:13So that's a model to
    • 13:14analyze progression,
    • 13:16and we heavily utilize it
    • 13:17for that reason.
    • 13:21Now when we analyze how
    • 13:23this model then replicates,
    • 13:25synapse changes or synapse loss
    • 13:27in the patients,
    • 13:29we can find that,
    • 13:31also here, just like the
    • 13:32synuclein pathology,
    • 13:34the synapse loss is progressive.
    • 13:36I don't show the data
    • 13:37here, but in the first
    • 13:38stages, we do not yet
    • 13:39see synapse loss. But then
    • 13:41as soon as the pathology
    • 13:42has, been around for, let's
    • 13:44say, four weeks, we then
    • 13:46see,
    • 13:48a a gradual increase since,
    • 13:49gradual loss of synapses. Synapses.
    • 13:51The way we quantify this
    • 13:52is, we take three d
    • 13:55reconstructions.
    • 13:56These are images that are
    • 13:58obtained,
    • 13:59using a super resolved imaging
    • 14:01approach.
    • 14:02So these allow us to
    • 14:03separately analyze pre and postsynaptic
    • 14:06sites. I mean, analyze synapses
    • 14:08as structures that has,
    • 14:10appeared in space. So this
    • 14:11is a highly, computationally,
    • 14:14driven analysis of of synaptic
    • 14:17connectivity.
    • 14:18And we see that both
    • 14:19at three months and then
    • 14:20later at six months, so
    • 14:21left and right side,
    • 14:22that synopsis are lost.
    • 14:25Now importantly, it depends on
    • 14:27what markers you're analyzing.
    • 14:28These are the synopsis that
    • 14:30are marked by the protein
    • 14:31big load one. These are
    • 14:33short range local excitatory connections
    • 14:35in the cortex.
    • 14:36However, when we analyze long
    • 14:38range connections, so inputs, for
    • 14:39example, from the thalamus
    • 14:41to the cortex, those inputs
    • 14:43are spared. So synaptic vulnerability
    • 14:46is not across the board.
    • 14:47Certain synapse types are more
    • 14:49vulnerable than others. And that's
    • 14:50actually very interesting for therapeutic
    • 14:52interventions because it means there
    • 14:54are factors that protect the
    • 14:55other synapses. So we just
    • 14:56have to figure out what
    • 14:58makes these long range inputs
    • 15:00stable,
    • 15:01versus, what makes the short
    • 15:03range inputs vulnerable. But that's,
    • 15:05this is one of the
    • 15:06reasons why we analyze,
    • 15:08synapse specific vulnerabilities.
    • 15:12Now
    • 15:13we not only have synapse
    • 15:15loss. So as you could
    • 15:16see, it's, a relatively small
    • 15:18portion of synapses that is,
    • 15:20removed.
    • 15:22We also have broad effects
    • 15:23on the remaining synopsis. And
    • 15:25among those effects are that,
    • 15:27the synopsis, even if they
    • 15:28stay,
    • 15:29show ultra structural aberrations.
    • 15:31These involve include a separation
    • 15:33of pre and postsynaptic sites.
    • 15:35And as you can imagine,
    • 15:36that must,
    • 15:37massively affect, the ability to
    • 15:39release and detect neurotransmitters.
    • 15:42But we also see changes
    • 15:43in the presynaptic organization, and
    • 15:45these are data
    • 15:47obtained in the bottom
    • 15:48by, our collaborator,
    • 15:50Laura Volpicelli, at the University
    • 15:52of Alabama in Birmingham.
    • 15:55And so even though these
    • 15:56are relatively modest changes in
    • 15:58synaptic vascular size, they will
    • 16:01also impact synaptic transmission.
    • 16:05So PD in the cortex
    • 16:07involves both the loss of
    • 16:08synopsis and structural changes of
    • 16:10the remaining synopsis, both of
    • 16:12which will impact,
    • 16:14connectivity.
    • 16:15Now we try to get
    • 16:17a little bit more on
    • 16:17the molecular underpinnings of that.
    • 16:20And here we have,
    • 16:22both in our own lab
    • 16:23and also in collaboration with
    • 16:25the lab of Terry Kumar,
    • 16:27at WashU,
    • 16:28performed a number of different,
    • 16:30analysis.
    • 16:31And it goes back to
    • 16:32the role of synuclein in
    • 16:34this type of pathology. As
    • 16:35I mentioned, we use synuclein
    • 16:37aggregates to trigger this pathology
    • 16:39and to trigger the synapse
    • 16:40loss, but we can also
    • 16:41detect whether synuclein itself has
    • 16:44a, a local role at
    • 16:46these, these, vulnerable synapses.
    • 16:48The way we test this
    • 16:49is, again, like high resolution
    • 16:51imaging, and we track what
    • 16:53happens in the vicinity of
    • 16:55these synuclein aggregates.
    • 16:57What we can find is,
    • 16:58as shown here, that the
    • 17:00synapses that are very close
    • 17:02to these aggregates,
    • 17:03and these are,
    • 17:05shown here in magenta on
    • 17:07the left. So the synapses
    • 17:08that are very close to
    • 17:09these aggregates are the first
    • 17:10ones to be lost. So
    • 17:12even at the earliest stages
    • 17:14when we can't see broad
    • 17:15synapse loss, when you look
    • 17:17very closely at the sites
    • 17:18of these aggregations,
    • 17:20that's where synapse,
    • 17:21number,
    • 17:22goes down. Oh, sorry. I
    • 17:24got the order wrong. What
    • 17:25I show you here is
    • 17:26actually the data that synaptics
    • 17:28synuclein accumulates
    • 17:30at these aggregate sites. And
    • 17:32then here, these are the
    • 17:32data that synapses are lost
    • 17:34close to these aggregates. But
    • 17:36there's a
    • 17:37a correlation between,
    • 17:40synuclein aggregation
    • 17:42and synapse loss.
    • 17:43And,
    • 17:44recently has found that the
    • 17:46vulnerable synapses
    • 17:47actually have ten times more
    • 17:48synuclein than the non than
    • 17:50the protected ones. So synuclein
    • 17:52certainly is a risk factor.
    • 17:54So the accumulation of synuclein
    • 17:55is probably,
    • 17:57a good candidate
    • 17:58as, for causal,
    • 18:00to cause the loss.
    • 18:02And as,
    • 18:03we wanted to test,
    • 18:05however, this,
    • 18:07impacts function,
    • 18:09I could, rely on our,
    • 18:12excellent collaboration that we have
    • 18:13with Mike Higley in the
    • 18:14neuroscience department
    • 18:16where, Mike, in this case,
    • 18:18for example, analyzed slice physiology
    • 18:20in this peer in this,
    • 18:22fibril mouse model.
    • 18:24And, consistent with our, histochemical
    • 18:27data, you could show that,
    • 18:29exhalatory transmission
    • 18:31is strongly reduced
    • 18:32in these animals.
    • 18:34What you see what you
    • 18:35see here is actually plotted
    • 18:36the time it takes between
    • 18:38excitatory transmission events.
    • 18:41So as you see here
    • 18:42in the second graph,
    • 18:45that timing gets longer and
    • 18:46longer.
    • 18:47That means,
    • 18:48fewer and fewer events. So
    • 18:50that's how we quantify
    • 18:51the,
    • 18:52frequency of, synaptic transmission events.
    • 18:56Now
    • 19:02analyzing the vulnerability of synopsis
    • 19:04is one thing,
    • 19:05but we also want to
    • 19:06analyze
    • 19:08how different cell types
    • 19:10are vulnerable to PD pathology.
    • 19:14And,
    • 19:15we here rely on or
    • 19:17can rely on,
    • 19:18information about neuroanatomical
    • 19:20connectivity of the cortex.
    • 19:22As we know, layer five,
    • 19:24where these projection neurons live
    • 19:25that project to the striatum,
    • 19:27is the first layer that
    • 19:28shows, significant pathology.
    • 19:31And, so we also have
    • 19:33information that the neurons that
    • 19:35are in layer five
    • 19:36is, particularly these intertendencephalic,
    • 19:39projection neurons that are shown
    • 19:41here in gray,
    • 19:42that they project
    • 19:44bilaterally. So they project,
    • 19:47if the ipsio contralateral
    • 19:49to the same side of
    • 19:50the striatum, they will inject
    • 19:51it, project to,
    • 19:53the same,
    • 19:55area of the striatum.
    • 19:57But that allows us to
    • 19:59test this in our model,
    • 20:01is what happens if we
    • 20:03use this unilateral injection to
    • 20:05the striatum
    • 20:06and then see how pathology
    • 20:08progresses? Do we see pathology
    • 20:10only in the side of
    • 20:11the cortex for the injected
    • 20:12striatum that sits, or do
    • 20:14we see,
    • 20:15pathology on both sides?
    • 20:18And we actually do see
    • 20:19Sanukian pathology
    • 20:21both ipsy and contralaterally to
    • 20:23the injected striatum.
    • 20:24Here again in layer five.
    • 20:26And so that's consistent
    • 20:28with the layer five projection
    • 20:30neurons,
    • 20:32to be the primary targets
    • 20:33of pathology
    • 20:34in the cortex,
    • 20:36because these are the only
    • 20:37ones that really project dorsolateral,
    • 20:40both ipsi and contralaterally to
    • 20:41the striatum.
    • 20:43And this is accompanied also
    • 20:45in the contralateral side with
    • 20:47synapse loss, just what I
    • 20:48showed you for the ipsilateral
    • 20:49side before.
    • 20:51So it's not just that
    • 20:52synuclein pathology appears, but also
    • 20:53then connectivity is impaired even
    • 20:56though this is a hemisphere
    • 20:57that has been spared by
    • 20:59our injection.
    • 21:01Now
    • 21:03this is all data in
    • 21:04the mouse model.
    • 21:07The question now is how
    • 21:08can we validate this in
    • 21:09the human tissue?
    • 21:11And here, again, our collaborators,
    • 21:14so Terry Kumar and Rousalbek
    • 21:16stepped in
    • 21:17and have pulled off some,
    • 21:19what I find, very impressive
    • 21:21approaches. What you see here
    • 21:22on the left is, human
    • 21:24PD tissue,
    • 21:26analyzed
    • 21:27by synaptic marker staining.
    • 21:29And this is not your
    • 21:30regular confocal. This is high
    • 21:32resolution meso scans
    • 21:34at synaptic resolution. So wherever
    • 21:36you go in this image,
    • 21:38you can zoom in and
    • 21:39have this at a subsynaptic
    • 21:41resolution where you see the
    • 21:42pre and the postsynaptic sides.
    • 21:44So this is incredibly
    • 21:46rich in detail.
    • 21:47So you can look at
    • 21:48the whole,
    • 21:49across all cortical layers
    • 21:52from the meso scan down
    • 21:53to the synaptic level and
    • 21:55analyze synaptic aberrations in the
    • 21:57in the patients.
    • 21:59This is a really
    • 22:01impressive,
    • 22:02advance that they have. So
    • 22:04we're now in the position
    • 22:05to test all of our
    • 22:06approaches
    • 22:08in the patients.
    • 22:10And I wanted to add,
    • 22:12two slides
    • 22:13because,
    • 22:15I
    • 22:17am trained as a biochemist,
    • 22:18so I want to have,
    • 22:20mechanisms.
    • 22:21And, here again, the transcriptional
    • 22:24changes,
    • 22:25helped us to,
    • 22:26identify target pathways.
    • 22:29As I mentioned,
    • 22:30earlier on,
    • 22:31among the genes that are
    • 22:32downregulated
    • 22:34in the, PD in the
    • 22:35pathological
    • 22:36neurons in human PD tissue,
    • 22:38as well as now a
    • 22:39mouse model, are these trans
    • 22:41synaptic proteins that are here
    • 22:43marked with this red circle
    • 22:44on the left.
    • 22:45These are called neurexins.
    • 22:47These are on the presynaptic
    • 22:48side, and they are down
    • 22:49regulated both in the mouse
    • 22:51model and in the human
    • 22:52tissue.
    • 22:54So we asked whether they
    • 22:56have a role, and that's
    • 22:58driven by the fact that
    • 22:59pathology progresses
    • 23:01between synaptically
    • 23:02connected populations. So we want
    • 23:04to know whether synapses themselves
    • 23:06are sites of pathological
    • 23:07transmission.
    • 23:10And for that,
    • 23:11we have established,
    • 23:13both in vitro and in
    • 23:14vivo approach. I'll show you
    • 23:15what today the data for
    • 23:17the in vitro approach.
    • 23:18And these experiments are performed
    • 23:20by Maria Juliano, who's also
    • 23:22here in the audience.
    • 23:24So and I just keep
    • 23:26this, very straightforward.
    • 23:27And in a nutshell, we
    • 23:29could show that,
    • 23:31cultured neurons that we use
    • 23:33in this model
    • 23:34show strong pathological responses to
    • 23:36the addition to the of
    • 23:37this, synuclein fibrils, just what
    • 23:39I have shown you in
    • 23:40vivo.
    • 23:41Let's see on the top,
    • 23:43where you see these,
    • 23:44aggregates marked in green.
    • 23:46What you see in blue
    • 23:47is just a neural morphology,
    • 23:48specifically the dendrites.
    • 23:50And so we quantify the
    • 23:52typical pathology as you see
    • 23:54here on the graph on
    • 23:54the left. But if you
    • 23:56knock down Eurexin, you see
    • 23:57a drastic,
    • 23:59reduction in how the pathology
    • 24:02appears.
    • 24:03And,
    • 24:04there is, at least to
    • 24:05my knowledge, no other intervention
    • 24:07that can reduce the synuclein
    • 24:09pathology in any comparable way.
    • 24:11So, these new reactions are
    • 24:14critical
    • 24:15for
    • 24:16the pathology
    • 24:17appearance in these excitatory neurons.
    • 24:20And,
    • 24:21I just, wanted to,
    • 24:23end with this. We have
    • 24:24done structure function analysis on
    • 24:26this. We do this in
    • 24:27the in the neuroexon knockout
    • 24:29mouse model right now. But,
    • 24:30I think this is one
    • 24:32way to communicate how we
    • 24:33try to get at molecular
    • 24:34approaches.
    • 24:35And just to,
    • 24:37conclude,
    • 24:39what we know is,
    • 24:41synapses are not only vulnerable,
    • 24:44but also show synapse type
    • 24:46specific vulnerability patterns.
    • 24:49We have, not just loss,
    • 24:50but also changes. So the
    • 24:52structure of synapses in the
    • 24:53PD pathology, so the pathology
    • 24:55will have broad effects on
    • 24:57cortical function.
    • 25:00In agreement, we see altered,
    • 25:02synaptic transmission
    • 25:03in this mouse model.
    • 25:05And we have evidence that
    • 25:07the that, certain proteins, including,
    • 25:10these transsynaptic proteins have a
    • 25:12role in pathology progression. So
    • 25:13this could be another way
    • 25:15of slowing down progression
    • 25:17in the patients.
    • 25:18And the things we we
    • 25:19don't know,
    • 25:21really have to understand
    • 25:22how in our mouse model,
    • 25:25cortical circuits are impacted.
    • 25:27We have to move beyond
    • 25:28recordings to really look at
    • 25:29activity patterns in the whole
    • 25:31cortex, and,
    • 25:32that's currently something that we
    • 25:34test.
    • 25:35We also need to know,
    • 25:37to what extent
    • 25:38does,
    • 25:39synaptic,
    • 25:41biology or synaptic,
    • 25:42proteins, to what extent do
    • 25:44they
    • 25:44modulate
    • 25:45or even, drive progressions? Or
    • 25:47are they really targets?
    • 25:50And then, the last question,
    • 25:52and that's a question that
    • 25:53I've already
    • 25:54discussed at
    • 25:55length with Jaime,
    • 25:57It's,
    • 25:58okay. So we have this
    • 25:59model. It replicates one aspect
    • 26:01of PD, which is the
    • 26:03synuclein,
    • 26:03aggregates,
    • 26:04but that's not what happens
    • 26:05in the patients. You often
    • 26:07have copathology,
    • 26:08whether it's tau, or whether
    • 26:09it's amyloid copathology.
    • 26:12Are they just living separately
    • 26:13and doing the individual damage,
    • 26:15or do they have synergistic
    • 26:16effects? And we have already
    • 26:17started the first experiments,
    • 26:19and it, is, quite,
    • 26:21promising that,
    • 26:23amyloid pathology and synutin pathology
    • 26:26are not just additive, but
    • 26:28could actually,
    • 26:29at least that the amyloid
    • 26:30pathology could drive the synuclein
    • 26:32pathology.
    • 26:33So that's a active area
    • 26:34of investigation that I think
    • 26:36is also very important for
    • 26:37the patients.
    • 26:38After that, I would like
    • 26:39to,
    • 26:40acknowledge,
    • 26:41my lab,
    • 26:44who are here. And I
    • 26:45also wanted to acknowledge the
    • 26:47ASAP team. This is a
    • 26:48team picture that we,
    • 26:50took at one of our,
    • 26:52retreats,
    • 26:53which really brings together
    • 26:55a large range of interdisciplinary,
    • 26:57researchers
    • 26:58that, some of us are
    • 27:00new to the PD field,
    • 27:01others are experiencing it. So
    • 27:03it's a a very enjoyable
    • 27:05and,
    • 27:06great environment to learn about
    • 27:08PD and to apply our
    • 27:09our research interests.
    • 27:11That, I would like to
    • 27:12thank you for your attention.
    • 27:22Right. Good.
    • 27:23Kumar. Yeah.
    • 27:25So if you were to
    • 27:26superimpose
    • 27:27the g g b the
    • 27:28GWAS data onto your synaptic
    • 27:30protein, you know, that slide
    • 27:32that you had, is there
    • 27:34a map? Do they match?
    • 27:37It's not that straightforward. So
    • 27:38the GBOS data are less
    • 27:41informative
    • 27:42than the the the expression
    • 27:43data. The expression data have
    • 27:45one advantage. We specifically
    • 27:47and I didn't I I
    • 27:48explained this in detail. We
    • 27:49specifically analyzed gene expression changes
    • 27:52in pathology bearing neurons.
    • 27:54But at some point, it
    • 27:55becomes super streamlined. So we
    • 27:56look we look at that
    • 27:58subpopulation of neurons that have
    • 27:59the synuclein aggregates so we've
    • 28:01had much better resolution.
    • 28:02And then does neurons seem
    • 28:04to bind? I didn't get
    • 28:05that. Did you say it
    • 28:06binds to I didn't. Reform?
    • 28:09I didn't say it, but,
    • 28:10because I didn't want to
    • 28:12cover too much of the
    • 28:12mechanism. But, yes, your your
    • 28:14hunch is absolutely right. That's
    • 28:15what we observe, and,
    • 28:17that's what we are currently
    • 28:18quantifying. But there is evidence,
    • 28:21including also from other labs
    • 28:22that synuclein and fibrils can
    • 28:24bind to the surface of
    • 28:25neurexin. And we have also
    • 28:27with the structure functional identified
    • 28:30modifications in neurexins
    • 28:32that are required for
    • 28:35them. It's a precedent. Right?
    • 28:36So some of the toxins
    • 28:37like botulism and stuff like
    • 28:38that bind to synaptic proteins.
    • 28:41Yeah. Protein.
    • 28:45Okay. Go ahead. David, please.
    • 28:47Do
    • 28:48the advocates of the alpha
    • 28:49SNP induced any microglia activation?
    • 28:53We
    • 28:54have
    • 28:55only,
    • 28:57we are planning these experiments
    • 28:58right now.
    • 29:00So we have the tissue
    • 29:01in our mouse model. We
    • 29:02are starting to analyze this,
    • 29:04and we also want to
    • 29:05analyze the role of microglia
    • 29:06and the loss of synapses
    • 29:08that we have here. But,
    • 29:09that's that's the next step
    • 29:11for us, leaving our neuron
    • 29:13centric view of the world.
    • 29:14And,
    • 29:15and that's,
    • 29:17yeah. We have started to
    • 29:19to to,
    • 29:20these experiments.
    • 29:23Please.
    • 29:24The role of dopamine and
    • 29:26GABA. So
    • 29:28I mean, in clinical practice,
    • 29:30those are the main things,
    • 29:31and dopamine interaction without this
    • 29:33nuclei. And then in terms
    • 29:35of synapse loss, have you
    • 29:37quantitated whether
    • 29:39it is more,
    • 29:40GABA type of
    • 29:42synopsis, or is it a
    • 29:44excitatory synopsis? We have quantified
    • 29:46this. I just didn't go
    • 29:47into the details. We have
    • 29:48analyzed different synapse types. So
    • 29:50if I just ask answer
    • 29:51first about the GABAergic synopsis.
    • 29:53Inhibitory synapses are among those
    • 29:55synapse types that are completely
    • 29:57protected. So even at the
    • 29:58latest time points that we've
    • 29:59analyzed so far, we have
    • 30:00not seen a loss of
    • 30:02GABAergic synapse. So it seems
    • 30:04to be
    • 30:05pretty restricted to local inhibitory
    • 30:07to local acceptory synapse.
    • 30:09Interplay with, dopamine, we have
    • 30:12not yet tested. So we,
    • 30:16at this point, we don't
    • 30:17have evidence,
    • 30:18about, dopaminergic
    • 30:20dopa dopamine release
    • 30:22loss of of dopamine release
    • 30:23sites,
    • 30:24in the cortex,
    • 30:26in our model. But then
    • 30:28we,
    • 30:29we do not
    • 30:31aim to replicate that aspect
    • 30:33of PPE at all.
    • 30:38That's in clinical practice, dopamine
    • 30:40is dopamine. I mean, that's,
    • 30:41like, ninety nine percent of
    • 30:43Oh, yeah. I'm I'm very
    • 30:45used to having to justify
    • 30:46my data.
    • 30:50But,
    • 30:52I personally
    • 30:53I I would, like to
    • 30:55suggest
    • 30:56that these are parallel processes,
    • 30:58that they do not actually
    • 31:00directly impact each other. So
    • 31:02that PD pathology could progress
    • 31:04in different regions using in
    • 31:05in different ways. So
    • 31:08That's not I think that
    • 31:10dopamine,
    • 31:11because it's highly oxidative,
    • 31:14it actually
    • 31:16accentuates the role of albasyanuclide
    • 31:19to map.
    • 31:20And especially in the synapses
    • 31:22with dopamine, that's why substantia
    • 31:24nigra dies first.
    • 31:27We have no evidence for
    • 31:28synapse for neuron loss in
    • 31:30the cortex. So I think
    • 31:31it's really a different mechanism.
    • 31:36If, what you're saying is
    • 31:38true that the binding of
    • 31:39alpha synuclein with the norexin
    • 31:40Yep. Person in vivo,
    • 31:43are you thinking about ways
    • 31:45to,
    • 31:45interfere with that binding? I
    • 31:47mean, would that be a
    • 31:48good feasible
    • 31:50or translatable mechanism? Yeah. So
    • 31:52we
    • 31:53hear what it works. Yeah.
    • 31:54That's really worked.
    • 31:56The mic. They're actually
    • 32:00So we,
    • 32:02we are currently testing this
    • 32:03again, led by Maria. So
    • 32:05we have evidence that
    • 32:07the,
    • 32:11the role of neurexin in
    • 32:12pathology progression involves an extracellular
    • 32:14modification of heparan sulfate proteoglycans.
    • 32:17And we
    • 32:18are collaborating with a colleague,
    • 32:22who has,
    • 32:24glycan arrays, and he will
    • 32:25then map to what type
    • 32:27of glycans
    • 32:28so subtypes of glycans these
    • 32:30synuclein propels can bind. And
    • 32:32that could pros could give
    • 32:34us a specific molecular lead
    • 32:36for what types of heparan
    • 32:38sulfate glycans are targeted by
    • 32:40the synuclein,
    • 32:41and that, can,
    • 32:43that could be then possible
    • 32:45a site of intervention.
    • 32:47For example, we're targeting the
    • 32:48specific enzymes that may need
    • 32:50this particular type of glycan
    • 32:52modification because these are so
    • 32:53complex. There are hundreds of
    • 32:55different options
    • 32:57that should be possible to
    • 32:58target them if they are
    • 32:59specific.
    • 33:01Yes.
    • 33:02Please. I initially had a
    • 33:03dopamine related question, but you
    • 33:05answered that. My second question
    • 33:06would be,
    • 33:07have you look have you
    • 33:09done any behavioral tasks in
    • 33:11the mice
    • 33:12to determine what,
    • 33:14abilities are affected?
    • 33:16We have stayed clear of
    • 33:18behavioral tests because they can
    • 33:21be,
    • 33:23not robust, and so we
    • 33:25wanted to focus on the
    • 33:27physiology
    • 33:28instead.
    • 33:30We are considering now to
    • 33:31do go into behavioral essays,
    • 33:34but,
    • 33:35I think for us, the
    • 33:36physiology comes first as a
    • 33:38function of really.
    • 33:41Alright?
    • 33:54Hello, everybody.
    • 33:55Thank you to Jaime for
    • 33:57sort of spearheading this, and
    • 33:59thank you for Puja to
    • 34:00doing this.
    • 34:02Okay.
    • 34:04So today, I'm gonna tell
    • 34:05you about GBA link Parkinson
    • 34:07and dementia with Lewy bodies.
    • 34:09And a lot of the
    • 34:10themes that Thomas has sort
    • 34:12of already reiterated
    • 34:13will sort of come up
    • 34:15again in my talk, so
    • 34:16I don't have to give
    • 34:17you lots of introductions.
    • 34:19So what the outline of
    • 34:21my talk will be sort
    • 34:22of threefold. Let's see if
    • 34:23this pointer
    • 34:25works.
    • 34:26No.
    • 34:27There's no pointer. Sorry.
    • 34:29So I'm gonna introduce to
    • 34:30you what GB a is.
    • 34:32It's links to Gaucher disease,
    • 34:34which are very well established,
    • 34:35and the more recent links
    • 34:37to Parkinson and dementia with
    • 34:39Lewy bodies.
    • 34:40And then tell you because
    • 34:41I'm a mouse and iPSC
    • 34:43lab, I'm gonna tell you
    • 34:44about our mouse studies on
    • 34:45how to model GBL link
    • 34:47Parkinson and dementia,
    • 34:49with Lewy bodies in using
    • 34:51mice, and then also what
    • 34:52we've gained as insights
    • 34:54by doing these mice studies.
    • 34:56Okay.
    • 34:57So just to begin with,
    • 34:59GBA is a lysosomal
    • 35:01enzyme called glucocerabrosidase.
    • 35:03It's abbreviated commonly as GKS,
    • 35:05so you may have heard
    • 35:06that. And it's an enzyme
    • 35:08that sits in the lysosome
    • 35:10and is part of the
    • 35:11sphingolipid,
    • 35:12salvage pathway.
    • 35:14And it's a glucosidase. So
    • 35:15it'll take complex
    • 35:16ceramides, glucosal ceramides,
    • 35:19and hydrolyze the glucose of
    • 35:21it to release ceramide.
    • 35:23And so what happens when
    • 35:24you have loss of function
    • 35:25mutations in GBA,
    • 35:27you get a disease called
    • 35:28Gaucher disease, which all of
    • 35:29you are more familiar than
    • 35:31I am.
    • 35:32So you this is a
    • 35:35primarily a childhood disease of
    • 35:37liver and spleen and bone.
    • 35:39And in in this Gaucher
    • 35:40disease, you have two things
    • 35:42that are happening.
    • 35:43One is that the complex
    • 35:45glucosophagolipids
    • 35:47accumulate,
    • 35:48primarily peripherally in macrophages,
    • 35:51and this is how you
    • 35:52stain for them,
    • 35:53as Gaucher cells.
    • 35:55And also you have a
    • 35:56ceramide deficiency because there's not
    • 35:58ceramide not being released. And
    • 36:00ceramide,
    • 36:01as you all know, is
    • 36:03necessary for barrier function of
    • 36:05skin. So they also have
    • 36:06skin issues.
    • 36:07And Gaucher's in the US
    • 36:09is largely treated. You there's
    • 36:11very good enzyme replacement
    • 36:13therapy
    • 36:14options. And there are also
    • 36:16options
    • 36:17to what are called substrate
    • 36:19reduction therapies. That meaning that
    • 36:21you try and reduce the
    • 36:23amount of glucosylceramides
    • 36:25that are actually synthesized.
    • 36:27And both these strategies are
    • 36:28very efficacious.
    • 36:30And so patients can manage
    • 36:32Gaucher disease
    • 36:33all the while
    • 36:34all the way through adulthood.
    • 36:37So GBA,
    • 36:39the reason GBA and Gaucher
    • 36:41is very well established, and
    • 36:43GBA mutations due to founder
    • 36:45effects are very common in
    • 36:47the population. So for instance,
    • 36:49if you're asked a Nazi
    • 36:50Jewish or for instance Norwegian,
    • 36:53they're huge founder effects. And
    • 36:54so these mutations are very,
    • 36:56very common. And especially two
    • 36:58mutations I'm gonna talk to
    • 37:00you about is just called
    • 37:01the n three seventy s
    • 37:02mutation
    • 37:03and the l triple four
    • 37:04p mutation.
    • 37:06So even though the link
    • 37:08between Gaucher and GBA was
    • 37:10very well established, the link
    • 37:12between,
    • 37:14GBA and Parkinson and Gaucher
    • 37:16is very recent. It's actually
    • 37:18in two thousand nine it
    • 37:19actually came only at a
    • 37:20clinical practice
    • 37:21even though we have GWAS
    • 37:23and,
    • 37:24GWAS and, you know, familial
    • 37:26genetics.
    • 37:27So this was a study
    • 37:29that came from Ellen Sidransky's
    • 37:30lab at the NIH,
    • 37:32and she led a multicenter
    • 37:35study which showed that GBA
    • 37:37mutations
    • 37:38are actually causing Parkinson.
    • 37:40And in fact, they showed
    • 37:41that,
    • 37:42Gaucher patients, which are homozygous
    • 37:44GBA,
    • 37:46patients, have homozygous mutations,
    • 37:49are at a twenty four
    • 37:50risk for developing Parkinson. And
    • 37:52the parents of these patients,
    • 37:54who are heterozygous
    • 37:55carriers, are at a five
    • 37:57fold risk for developing Parkinson.
    • 37:59And the GBA link part
    • 38:01of Parkinson is actually associated
    • 38:03with synuclein pathology,
    • 38:05the Lewy body pathology. That's
    • 38:07the defining feature of sarisporadic
    • 38:09disease.
    • 38:11So sort of flash forward,
    • 38:13this is the genetic landscape
    • 38:14of Parkinson today. So in
    • 38:16the top cluster are all
    • 38:18the, familial genes. We have
    • 38:20twenty three PARC genes, PARC
    • 38:22one through twenty three.
    • 38:23And then in the middle
    • 38:25are the medium to high
    • 38:27risk genes, which are fairly
    • 38:28common in the population, and
    • 38:30I've circled GBA,
    • 38:31and the other being LERP
    • 38:33two, which you also heard
    • 38:34of. And in the very
    • 38:35this sort of corner here
    • 38:38are common variants that are
    • 38:39all in the sporadic population.
    • 38:42So you can see that
    • 38:43GBA is, turns out to
    • 38:46be one of the most
    • 38:47common genetic risk factor for
    • 38:49Parkinson.
    • 38:50In fact, five percent of
    • 38:51all GBA,
    • 38:53all Parkinson
    • 38:54patients have GBA mutations.
    • 38:56And because of this link
    • 38:58of this founder effects, there
    • 38:59are certain ethnicities
    • 39:01that are actually very at
    • 39:02high risk for developing GBA
    • 39:04link pockets.
    • 39:06So since this two thousand
    • 39:08nine,
    • 39:09landmark paper,
    • 39:11there have been a lot
    • 39:12of follow-up clinical studies to
    • 39:14understand
    • 39:15whether sporadic Parkinson,
    • 39:17which is the eighty five
    • 39:18percent of population,
    • 39:20and
    • 39:21peep, patients that have GBM
    • 39:23mutations, is there anything clinically
    • 39:25different between them? And what
    • 39:27is sort of a clear
    • 39:29consensus
    • 39:29is that if you have
    • 39:31GBM mutations that is driving
    • 39:33your disease, you have a
    • 39:34faster decline and you have
    • 39:36much more cognitive
    • 39:37deficits. So there is it
    • 39:39it is actually predisposing
    • 39:41you to having,
    • 39:43dementia.
    • 39:45So when in,
    • 39:47in two thousand twenty three,
    • 39:49the
    • 39:50GWAS studies for Lewy body
    • 39:52dementia, the related
    • 39:54synucleonopathy
    • 39:55was actually published. And you
    • 39:57can see this is a
    • 39:58Manhattan bot. And you can
    • 40:00see that GBA is one
    • 40:01of the genes that is
    • 40:03actually driving,
    • 40:05dementia with Lewy bodies. The
    • 40:06other being SNCA, which is
    • 40:08the gene for synuclein.
    • 40:09And this being a dementia
    • 40:12sort of across between Parkinson
    • 40:14and Alzheimer's, you can see
    • 40:15APOE and BIN1 are also,
    • 40:18genes that are linked to
    • 40:19Alzheimer are also,
    • 40:21genes linked to,
    • 40:23dementia with Lewy bodies.
    • 40:25So if you just look
    • 40:26at the familial forms of
    • 40:28Lewy body dementia, you can
    • 40:30see that GBA is the
    • 40:31only gene linked to this,
    • 40:34disorder.
    • 40:35So
    • 40:36because
    • 40:37the GBA is linked to
    • 40:38two synucleopathies,
    • 40:40you know, Parkinson and Lewy
    • 40:42body dementia,
    • 40:43you know, there's a lot
    • 40:44of interest farmers you know,
    • 40:46in pharma to sort of
    • 40:47develop GBA therapies. And because
    • 40:49of all the
    • 40:51therapeutic
    • 40:52advances already for Gaucher, they
    • 40:54can actually use those leads
    • 40:56to actually treat this. I
    • 40:58should say at this point,
    • 40:59the reason why Gaucher patients,
    • 41:02even though they are on
    • 41:03drugs and can manage their
    • 41:05Gaucher symptoms,
    • 41:07still develop Parkinson or Lew
    • 41:09body dementia is because those
    • 41:10drugs don't cross the blood
    • 41:12brain barrier.
    • 41:13So then right now, there's
    • 41:14a huge impetus
    • 41:16to try and convert, you
    • 41:17know, convert the Gaucher drugs
    • 41:20to cross the blood brain
    • 41:21barrier because you know that
    • 41:22they're actually efficacious
    • 41:24because they can treat Gaucher.
    • 41:25So I I mean, I
    • 41:26won't,
    • 41:27belabor this, but there are
    • 41:29very interesting,
    • 41:30therapeutic strategies in the pipeline.
    • 41:33And so far, they all
    • 41:35look very promising.
    • 41:36One is AAV based therapies,
    • 41:38which they're actually inject injecting
    • 41:40intrathecally,
    • 41:41and the other is using
    • 41:43small molecules because a lot
    • 41:45of the GBM mutations
    • 41:47are actually,
    • 41:49trafficking mutants. So they don't
    • 41:50go to the lysosome properly.
    • 41:52And so if you can
    • 41:53make it go to the
    • 41:55right place within the neuron,
    • 41:56then you can actually treat
    • 41:58the cell. Okay.
    • 41:59And the last thing that
    • 42:00I wanna sort of plug
    • 42:01is ambroxol,
    • 42:03which is a, over the
    • 42:04counter,
    • 42:06drug,
    • 42:07cough medicine that's available worldwide,
    • 42:10but that is now actually
    • 42:11in phase two trial,
    • 42:13for GBL link park ins.
    • 42:15It's not available here, but
    • 42:16it's available
    • 42:17elsewhere in the world.
    • 42:19Okay. Okay. So okay. So
    • 42:21the question really is
    • 42:23why do GBA mutations
    • 42:24predispose
    • 42:25you to both, PD and
    • 42:28DLB?
    • 42:29So this,
    • 42:30there has been sort of
    • 42:31a very synuclein centric model
    • 42:34because it causes Lewy bodies
    • 42:35in this. And one of
    • 42:37the ideas that was actually,
    • 42:39put forward by Dimitri Cronk,
    • 42:41who's the head of neurology
    • 42:42in Northwestern,
    • 42:44is that,
    • 42:45a, that the lipids that
    • 42:47accumulate can actually template synuclein
    • 42:50aggregation, which is we we
    • 42:51could also show this. And
    • 42:53because the lysosome, which is
    • 42:55where, you know, proteins are
    • 42:57degraded is not functioning,
    • 42:59sort of this two hit
    • 43:00model that, you know, alpha
    • 43:02synuclein is no longer degraded
    • 43:04plus aggregating causing Lewy bodies.
    • 43:07So this was in two
    • 43:08thousand eleven, but subsequently,
    • 43:10it's we have on as
    • 43:12a field have understood that
    • 43:14it's much more complex. It's
    • 43:16just not about synuclein
    • 43:17alone.
    • 43:18And therefore, it's now realized
    • 43:20that there because,
    • 43:22the proteins are misfolded, there's
    • 43:24ER stress.
    • 43:25And what I will come
    • 43:26back to later is that
    • 43:27there are a lot of
    • 43:28lipid imbalances
    • 43:30with because this is an
    • 43:31enzyme that's involved in lipid
    • 43:33homeostasis.
    • 43:34Yeah.
    • 43:36Okay. So at this point,
    • 43:37I wanna just sort of
    • 43:38make a plug for our
    • 43:40story that came out last
    • 43:41week.
    • 43:42So we we are using
    • 43:44mouse models to understand
    • 43:46GBLINK Parkinson,
    • 43:48and we have sort of,
    • 43:51used
    • 43:52the, what we learned from
    • 43:53human genetics that the l
    • 43:55triple four p mutation in
    • 43:57particular
    • 43:58is actually predisposed
    • 43:59to cognitive
    • 44:00deficits. So we've made mice,
    • 44:03that have this mutation on
    • 44:05a null background to model
    • 44:07basically Gaucher patients.
    • 44:09And because,
    • 44:11you need ceramide for barrier
    • 44:13function of skin, if you
    • 44:14just make these mutations, the
    • 44:16mice get skin phenotypes and
    • 44:17they die. So we've rescued
    • 44:20the Gaucher, GBA expression in
    • 44:22skin. Okay.
    • 44:23But what we can show
    • 44:24is these are really good
    • 44:26models. They can, in the
    • 44:27previously we before this, before
    • 44:30we made these mice, most
    • 44:31of the mice would only
    • 44:32live three weeks, so we
    • 44:34could not because of the
    • 44:35skin issues.
    • 44:36So we could not study,
    • 44:37like, age related phenotypes.
    • 44:40So in this case, these
    • 44:41these mice, you know, accumulate
    • 44:44the
    • 44:45the lipids.
    • 44:46They're like you would expect,
    • 44:47like patients do. They have
    • 44:49very little protein because they
    • 44:51have the mutations,
    • 44:52and they have no enzymatic
    • 44:54activity because the because it's
    • 44:56a mutant protein. So they're
    • 44:57really a very good model.
    • 44:59And what we've done is
    • 45:00taken these mice and crossed
    • 45:02them to synuclein transgenic. So
    • 45:04we can compare,
    • 45:06the black mice, which is
    • 45:07the wild type mice, to
    • 45:09the GBA, the amber.
    • 45:11And then we can cross,
    • 45:12compare the same
    • 45:14impact of this GBA mutation
    • 45:15on a wild type background
    • 45:17or a synuclein background. So
    • 45:19red versus green.
    • 45:21So what we've done in
    • 45:23using these mice is sort
    • 45:24of behavioral assays to sort
    • 45:26of understand how,
    • 45:29GBA impacts motor functions
    • 45:31as well as cognitive functions.
    • 45:33And so if you can
    • 45:34just look at the colors,
    • 45:36if you look at the
    • 45:37amber colors versus
    • 45:39the black colors, these are
    • 45:40longitudinal
    • 45:41motor behavior tests. So at
    • 45:43the, in panel a is
    • 45:45balanced beam. So you make
    • 45:46the mice cross from one
    • 45:48end of the very narrow
    • 45:50beam to the other and
    • 45:51quantitate how many runs they
    • 45:53can do in a given
    • 45:54time.
    • 45:55And here on the panel
    • 45:56b is,
    • 45:58the grip strength. How long
    • 45:59a mouse can hold on
    • 46:00to a grip strength meter.
    • 46:02And you can see in
    • 46:03this as this is the
    • 46:05same cohort of mice analyzed
    • 46:07over one year. And you
    • 46:09can see in wild type
    • 46:10that they are fine in
    • 46:12black. In amber,
    • 46:13you can see the GBA
    • 46:14mice are also fine. They
    • 46:16have no motor deficits. But
    • 46:18the synuclein transgenic, which are
    • 46:19in red, can show progressive
    • 46:22phenotypes.
    • 46:22But if you cross in
    • 46:24GBA,
    • 46:24which is in green, they
    • 46:25get much worse.
    • 46:27Yeah? So it says that
    • 46:29GBM mice on their own
    • 46:30don't get any motor phenotypes,
    • 46:32but on a on a
    • 46:33synuclein background, they can make
    • 46:35things worse.
    • 46:36We've done this using variety
    • 46:38of other motor behaviors. In
    • 46:39this case, hyaline clasp and
    • 46:41open field. And the same
    • 46:43story holds. As as you
    • 46:46on their own, they're fine.
    • 46:47But in a on a
    • 46:48synthetic background, they make things
    • 46:50worse.
    • 46:51So what about cognition?
    • 46:53Because, you know, GBA is
    • 46:54linked in particular to cognitive
    • 46:57deficits, we were very interested
    • 46:58in doing this. And so
    • 47:00the way we've done this
    • 47:01is using fear conditioning.
    • 47:03So if you put a
    • 47:04mouse in a in a
    • 47:06box and then pair a
    • 47:07tone with the shock, then
    • 47:09they remember that this was
    • 47:11a very aversive
    • 47:12environment. So the next day,
    • 47:13if you bring them and
    • 47:15just give them the tone,
    • 47:16no shock, then they will
    • 47:18freeze, you know. So we
    • 47:19can calculate how long they
    • 47:21freeze as a measure of
    • 47:23how much they remember this
    • 47:24fear fear memory. And you
    • 47:26can see on the panels
    • 47:27on the on the, e
    • 47:29that if you look at
    • 47:31the amber bars between the
    • 47:33training day and the testing
    • 47:34day, both at three and
    • 47:35twelve months, that they are
    • 47:37showing no significant differences
    • 47:40in so they don't remember
    • 47:42this fear, fear condition.
    • 47:44So because there were some
    • 47:46differences in already on the
    • 47:48training day, we did another
    • 47:50essay called novel object recognition.
    • 47:52This is what what you
    • 47:54do is you put a
    • 47:54mouse with,
    • 47:56two objects
    • 47:57on one day, and you
    • 47:59calculate how much time they
    • 48:00spend with each
    • 48:02object. And then the next
    • 48:03day, you swap out one
    • 48:05of the objects, and you
    • 48:06put a new object, a
    • 48:07novel object. And then normally,
    • 48:09mice are curious, so they
    • 48:10will go to the novel
    • 48:12object if they remembered,
    • 48:13these were the one was
    • 48:14an old object. And you
    • 48:16can see in this very
    • 48:17clearly
    • 48:18that GBM mice, even at
    • 48:20three months, have a cognitive
    • 48:21deficits.
    • 48:23But on a synuclein
    • 48:24transgenic
    • 48:25background, they still have the
    • 48:26same,
    • 48:27effect. So it says that
    • 48:29very clearly that we can
    • 48:31dissociate
    • 48:32both motor and cognitive,
    • 48:35phenotypes with genotype.
    • 48:37So a wild type are
    • 48:38normal. GBA only have cognitive
    • 48:41deficits.
    • 48:42Synuclein transgenic
    • 48:43only motor deficits. And when
    • 48:45you have a double cross,
    • 48:46you have
    • 48:47cognitive deficits that are driven
    • 48:49by GBA
    • 48:50and then worsen motor deficits.
    • 48:53So what about how is
    • 48:55this related to synuclein pathology?
    • 48:57Because in Parkinson's field or
    • 48:59Lewy body dementia, you can't
    • 49:00get away from, synuclein pathology.
    • 49:03So what we did is
    • 49:04if you look at the
    • 49:05column, the third column, just
    • 49:07the green column,
    • 49:08we stain the cortex and
    • 49:10many other areas, but I'm
    • 49:12just gonna show you the
    • 49:13cortex,
    • 49:14for phosphocinuclein,
    • 49:16which is phosphorylated
    • 49:18at a particular site at
    • 49:19position one twenty nine. And
    • 49:21this is the, is used,
    • 49:23as Thomas said, to sort
    • 49:25of distinguish normal synuclein
    • 49:27from aggregated synuclein. And this
    • 49:29is also used in the
    • 49:31path labs to score for
    • 49:32Lewy bodies.
    • 49:34And you can see very
    • 49:35clearly if you just go
    • 49:36vertically down that
    • 49:38wild type and GBMI,
    • 49:40even at twelve months of
    • 49:41age in which these pictures
    • 49:42are taken,
    • 49:43do not show any synuclein
    • 49:45pathology. The synuclein transgenic does,
    • 49:45but when you have a
    • 49:45double transgenic, you get much,
    • 49:47transgenic
    • 49:48does,
    • 49:49but when you have a
    • 49:50double transgenic, you get much
    • 49:51more pathology.
    • 49:53And this is sort of
    • 49:53quantified in these graphs
    • 49:56here. And what is interesting
    • 49:57is it's not the number
    • 49:59of cells that are positive,
    • 50:01but the cells that are
    • 50:02actually positive become much more
    • 50:04intense. And this is shown
    • 50:05in sort of these histograms
    • 50:07on this side.
    • 50:09So the take home message
    • 50:10is that GBM mice don't
    • 50:12show, phosphocinogrelin
    • 50:14pathology.
    • 50:16And we've done this other
    • 50:17ways. We've done this by
    • 50:19western blotting, and we get
    • 50:20a similar result. You can
    • 50:22see that on their own
    • 50:23wild type and GBM mice
    • 50:25don't have any pathology, but
    • 50:27synuclein transgenics do, and then
    • 50:30many of the double transgenic,
    • 50:31you have more pathology.
    • 50:34So this tells us something
    • 50:36rather surprising for us that
    • 50:38the cognitive symptoms are actually
    • 50:41occurring independent
    • 50:42in this mouse of alpha
    • 50:43synuclein pathology.
    • 50:45So this is sort of
    • 50:46counterintuitive
    • 50:47to to what Thomas told
    • 50:48you, like,
    • 50:50a a few slides ago.
    • 50:52But the motor symptoms
    • 50:55are very tightly linked to
    • 50:57alpha synuclein
    • 50:58pathology
    • 50:59load. So the more the
    • 51:01pathology,
    • 51:01more the motor symptoms. This
    • 51:03is just for GBLINK Parkinson.
    • 51:05This is not for
    • 51:07linked
    • 51:08models.
    • 51:08Okay.
    • 51:10Okay.
    • 51:10Okay. So while we were
    • 51:12doing this, we had an
    • 51:14an a competing lab, Gomiteng's
    • 51:16lab at Columbia,
    • 51:18published this study,
    • 51:20and they used l triple
    • 51:21four p but heterozygous
    • 51:23mice.
    • 51:24And they also analyzed,
    • 51:26cognitive,
    • 51:27impairment in this mice.
    • 51:29I won't belabor this, but
    • 51:31they could show that
    • 51:33they could in their mice
    • 51:34also that they have issues
    • 51:36in the panel a with
    • 51:38fear conditioning.
    • 51:39And they also did,
    • 51:41Morris water mace if you
    • 51:42whether you could figure out
    • 51:44where the hidden platform was.
    • 51:46And they could show that
    • 51:47in the GBA mice that
    • 51:49they do have a deficits
    • 51:50at seven months a day.
    • 51:52But most importantly, what they
    • 51:54did is they crossed their
    • 51:56mice
    • 51:57to synuclein knockout. So they
    • 51:59where in which synuclein has
    • 52:00been deleted.
    • 52:01And they still get these
    • 52:03deficits.
    • 52:03So saying that you do
    • 52:05not need,
    • 52:06in this mouse model any
    • 52:09synuclein to drive the cognitive
    • 52:11deficits. The GBA alone, by
    • 52:14its function in the lysosome,
    • 52:15can cause these deficits.
    • 52:18Okay. So we are interested
    • 52:19to try and figure out
    • 52:20what the mechanisms
    • 52:21are. And so to get
    • 52:23some insights into this, we
    • 52:25did single cell RNA sequencing
    • 52:27that you're all familiar. This
    • 52:28is just to get a
    • 52:29transcriptional,
    • 52:31definition,
    • 52:32if it were, of the
    • 52:33brain as a as at
    • 52:35a single cell resolution in
    • 52:37these four mice.
    • 52:39So this is what what
    • 52:40you you compress all this
    • 52:42complex data into two dimensions
    • 52:44called UMAPs,
    • 52:45and this is what the
    • 52:46data look like. And if
    • 52:48we look in and sort
    • 52:49of dive in only into
    • 52:51neurons comparing wild type versus
    • 52:53GBA and these transgenics.
    • 52:55And if you look in
    • 52:56the bottom here,
    • 52:58if you look at what's
    • 52:58happening in neuronal types,
    • 53:00I was expecting because GBA
    • 53:03is a lysosomal
    • 53:04enzyme,
    • 53:05it controls lipid homeostasis,
    • 53:07that those would be the
    • 53:08pathways that are most prominent.
    • 53:11But,
    • 53:12surprised when you do unbiased
    • 53:13things, you get surprises.
    • 53:15And the hits you get
    • 53:17are all related to synaptic
    • 53:18vesicle trafficking,
    • 53:20synapse structure,
    • 53:22and so forth. So we
    • 53:23are now sort of,
    • 53:26and if you can do
    • 53:27more analysis, then this is
    • 53:29exactly what you get. You
    • 53:30get more and more synaptic
    • 53:31pathways that are
    • 53:33dysregulated
    • 53:34when you actually have a
    • 53:35lysosomal
    • 53:36enzyme that is actually missing.
    • 53:39So we've done some preliminary
    • 53:41experiments to confirm that this
    • 53:43indeed impacts synapses by doing
    • 53:45electron microscopy.
    • 53:47Like,
    • 53:48Thomas showed you, we can
    • 53:49show there are fewer synaptic
    • 53:51connections in the cortex of
    • 53:52GBMIs.
    • 53:54We can also look at
    • 53:55very detailed outer structure as
    • 53:58a proxy for synaptic vesicle
    • 54:00cycling
    • 54:01to look at how many
    • 54:02vesicles there are in each
    • 54:04terminal and how many clathrin
    • 54:06coated vesicles. These are vesicles
    • 54:07that are sort of functionally
    • 54:09turning over. And we can
    • 54:11see very profound changes in
    • 54:13these, GBA mutant synapses.
    • 54:15But we're still left with
    • 54:17a lot of questions. And
    • 54:18this is what we're currently
    • 54:20trying to tackle.
    • 54:21The problem for us is
    • 54:23that
    • 54:25lysosomes and synapse synaptic vesicles
    • 54:28are two organelles that have
    • 54:30distinct identities in the neuron.
    • 54:32So the lysosome is mainly
    • 54:34in the cell body, and
    • 54:36synaptic vesicles are at the
    • 54:38terminal.
    • 54:38And we don't understand how
    • 54:40you can impact
    • 54:41if you remove an enzyme
    • 54:43that's sitting in the soma,
    • 54:45how you're impacting this,
    • 54:47you know, distinct organelle.
    • 54:49And one idea is that
    • 54:51it's controlling lipids. It's controlling
    • 54:54key lipids
    • 54:55that are necessary for synaptic
    • 54:57function. And we have some
    • 54:59beginning to get some answers
    • 55:00into this. And if you
    • 55:02look at the we've looked
    • 55:03for some lipids called PIP2,
    • 55:05the phosphoinositides,
    • 55:06the essential for synaptic cycling.
    • 55:09And you can see that
    • 55:10in the GBM mice, there's
    • 55:11less,
    • 55:12PIP2. So now we're sort
    • 55:14of on a quest to
    • 55:15do lipidomics,
    • 55:16sort of organella lipidomics to
    • 55:18understand
    • 55:19the basis for this, sort
    • 55:21of fine.
    • 55:22Okay. I how am I
    • 55:23doing? Okay. So I'm just
    • 55:25gonna wrap up and tell
    • 55:26you that, you know, if
    • 55:27there's one take home message
    • 55:29that you can say that
    • 55:30GBA can,
    • 55:32cognitive deficits in GBA,
    • 55:35occur independent of alpha synuclein
    • 55:37pathology and that these are
    • 55:39related to actually
    • 55:41synaptic signatures.
    • 55:43And
    • 55:43that there are actually treatments
    • 55:45that are in the pipeline,
    • 55:46and I'm actually very hopeful
    • 55:48for this sort of five,
    • 55:50ten percent of the population
    • 55:52that there will be actually
    • 55:54effective treatments for that. And
    • 55:56that we should actually look
    • 55:58not just from the from
    • 55:59the perspective
    • 56:00of PD or motor symptoms,
    • 56:02but also from this, you
    • 56:03know, perspective of cognitive symptoms.
    • 56:06Okay. With that, I'd like
    • 56:07to thank the people who
    • 56:09did this. All the people
    • 56:10who did this have gone
    • 56:11to brighter and greener pastures.
    • 56:14So Vidya Dara, who's now
    • 56:15an assistant professor in Rosalind
    • 56:17Franklin University,
    • 56:18David
    • 56:19Backstrom, who's now back in
    • 56:21Sweden in Umea University,
    • 56:23Risha, who started as a
    • 56:24MD PhD.
    • 56:26I could she only wanted
    • 56:27to be an MD, and
    • 56:28I convinced her to be
    • 56:29an MD PhD.
    • 56:31Okay.
    • 56:33And who's at Columbia, and
    • 56:34then Jevin, who's a who's
    • 56:36a PhD student. So and
    • 56:37funding sources. Thank you.
    • 56:44Yeah. Yeah. So
    • 56:47thank you for a really
    • 56:48nice talk. Thank you. Yeah.
    • 56:50For those of us who
    • 56:51study Alzheimer's disease and model
    • 56:52that in mice, there is
    • 56:54I mean, there is just
    • 56:54so many thematic similarities in
    • 56:56where you guys are and
    • 56:57where we are. I mean,
    • 56:59we have the APP,
    • 57:00rare genetic variant for mutation
    • 57:02that causes AD
    • 57:04early onset, and then APOE,
    • 57:05which is the strongest genetic
    • 57:07risk factor. And now you
    • 57:08have SNCA or synuclein alpha,
    • 57:10which is your rare cause,
    • 57:12then you've got GBA as
    • 57:13your most common, most impactful.
    • 57:15And in the APP APOE
    • 57:17story, there's some biochemical
    • 57:20functional relationship between those two
    • 57:22proteins.
    • 57:23Do you think you're gonna
    • 57:24find some similar similarities across,
    • 57:27you know, how it impacts
    • 57:28ATP?
    • 57:29Do you think GBA may
    • 57:31you know, synuclein similar ways?
    • 57:33So in the motor aspects
    • 57:35of this, this is entirely
    • 57:36true because,
    • 57:38GBA makes synuclein
    • 57:40aggregates
    • 57:41much worse because the lipids
    • 57:43themselves can template the the
    • 57:45seeding of synuclein.
    • 57:47And because in GBA mutations,
    • 57:50lysosomes
    • 57:51are not functional, the pH
    • 57:53is off. So in that
    • 57:55sense,
    • 57:56yes. So there is very
    • 57:58interesting data that even in
    • 57:59sporadic disease,
    • 58:01GBA levels are down even
    • 58:03though there's no mutation in
    • 58:05those patients,
    • 58:06and that glucosal sphingosine, which
    • 58:09is the biomarker of GBA
    • 58:10deficiency, is high.
    • 58:12So there is
    • 58:14talk of trying these therapies
    • 58:16also on sporadic.
    • 58:19So and I think I
    • 58:20would support that. I think
    • 58:21the data to date would
    • 58:23suggest that it would or
    • 58:25maybe, Clemens, you think so?
    • 58:27Is that yeah. Right? Yeah.
    • 58:28That it would be to
    • 58:29treat increase GK's activity even
    • 58:32in sporadic would be would
    • 58:34be my thought. Yeah.
    • 58:37Congratulations
    • 58:38to the wonderful dog and
    • 58:40the awesome new paper. That's
    • 58:41really great.
    • 58:43I'd be curious if you
    • 58:44could hypothesize
    • 58:46how on a molecular,
    • 58:48you know, precise level do
    • 58:50you think,
    • 58:52reduced g, GK's function
    • 58:55impacts endocytosis?
    • 58:57Yeah. So, I mean, I
    • 58:59don't have a good answer.
    • 59:00I mean, I think, currently,
    • 59:02we're gonna see whether,
    • 59:04if we're gonna purify vesicles
    • 59:06from these mice
    • 59:07and look at
    • 59:09sort of unbiased lipidomics
    • 59:11to see if that's the
    • 59:12case.
    • 59:13If that's we don't get
    • 59:15clean answers there, then we
    • 59:16have to really think. We
    • 59:18we can get some insights
    • 59:20from the transcriptional
    • 59:21signatures. But right now, I
    • 59:23don't have a clear answer.
    • 59:25I wish I had a
    • 59:26clear answer. I don't know
    • 59:27that. Yeah. Yeah. Sorry.
    • 59:29I don't The APOE I
    • 59:31mean, it seems like APOE
    • 59:32is also quite strong.
    • 59:34Yes. Yes. Yes. You realize
    • 59:36how strong about it.
    • 59:38But you you think it's
    • 59:38also lipid
    • 59:40mediated
    • 59:40or because in Alzheimer's, it
    • 59:42is still unclear what APOE
    • 59:44is it affecting amyloid plaques?
    • 59:46Is it affecting
    • 59:47inflammation
    • 59:48or directly on the synapses?
    • 59:51So it's very confusing.
    • 59:52I I You think there's
    • 59:54any more clarity there? No.
    • 59:55It's I don't think we
    • 59:56have many because, you know,
    • 59:58it's a two thing. One,
    • 60:00you know, there is
    • 01:00:01increased certain lipids, but there's
    • 01:00:03a deficiency of other lipids
    • 01:00:05and the lysosome down function.
    • 01:00:07It's a it's not a
    • 01:00:08and also I didn't talk
    • 01:00:10about this, but GBA
    • 01:00:11in
    • 01:00:13immune cells does all kinds
    • 01:00:14of things. So it's,
    • 01:00:17I'm sort of looking very
    • 01:00:18neurocentric, but I don't think
    • 01:00:20that is actually the truth.
    • 01:00:22Yes, sir. Yeah. Okay. You
    • 01:00:24you just mentioned it, but
    • 01:00:25the
    • 01:00:26like, if the main cell
    • 01:00:27type is the main cell
    • 01:00:28type in Gaucher disease that's
    • 01:00:30affected to some macrophages Yep.
    • 01:00:32So, like,
    • 01:00:34what's the root of micro,
    • 01:00:37microglia
    • 01:00:37in the brain and, like,
    • 01:00:40Yeah. We're we're, we are
    • 01:00:43just beginning to look at
    • 01:00:44that. There are other you
    • 01:00:45know, Prime Mysteries Lab has
    • 01:00:47looked at that, and they
    • 01:00:48find that,
    • 01:00:50microglia
    • 01:00:51inflamed.
    • 01:00:52There's
    • 01:00:54there's you know, it's a
    • 01:00:55complex one. David David wouldn't
    • 01:00:57have access to those criteria.
    • 01:00:59Does she behave a nutrition?
    • 01:01:00Yes. Yes. Very much so.
    • 01:01:02And that's why this you
    • 01:01:03know, that's how they stain
    • 01:01:04for them. They do they
    • 01:01:06are called Gaucher cell. They're
    • 01:01:07staining for
    • 01:01:09macrophages that have full of
    • 01:01:10lipid in them. So it's
    • 01:01:12such a prominent phenylalanine. That
    • 01:01:14they can use it. And
    • 01:01:16also they have, you know,
    • 01:01:17liver enlargement as Yes.
    • 01:01:21One common thing among all
    • 01:01:22of these is the autophagy.
    • 01:01:24Yes. That's correct.
    • 01:01:26Where you have
    • 01:01:27proteins and the lipids and
    • 01:01:29everything, and that's that's overwhelmed,
    • 01:01:31then the
    • 01:01:32secondary thing would be that
    • 01:01:34the people tend to
    • 01:01:35this is this is correct.
    • 01:01:37There's a lot of autophagy
    • 01:01:38finis
    • 01:01:40phenotypes or in other, like,
    • 01:01:41stem cell derived neuronal models.
    • 01:01:44And you could manipulate those
    • 01:01:46to to get some, at
    • 01:01:48least in a in in
    • 01:01:49vitro system, some benefit.
    • 01:01:52Whether that will work
    • 01:01:54in vivo, I don't know.
    • 01:01:56No. It's not it's it's
    • 01:01:58I should say that there
    • 01:02:00is some data
    • 01:02:01that all lysosomal
    • 01:02:03storage diseases
    • 01:02:04actually increase the risk for
    • 01:02:06Parkinson's.
    • 01:02:07It just negotiated a very
    • 01:02:09prevalent
    • 01:02:10lysosomal
    • 01:02:11storage disease. And in other
    • 01:02:13diseases,
    • 01:02:14it's also much more fatal
    • 01:02:16early on that they don't
    • 01:02:17have. Yes. So yes.
    • 01:02:20Yeah. No. Congratulation.
    • 01:02:22But it's still being a
    • 01:02:24career for GPA is a
    • 01:02:25is a predisposition.
    • 01:02:27Yeah. And it's, do you
    • 01:02:29have any insight about genetic
    • 01:02:31modifiers
    • 01:02:32either in human or brain?
    • 01:02:33Yeah. So the I didn't
    • 01:02:35clarify this, but that what
    • 01:02:36she brings up is a
    • 01:02:37very important question. Is that,
    • 01:02:41not everybody
    • 01:02:42who has GBM mutations will
    • 01:02:45develop Parkinson.
    • 01:02:47There's very strong genetic and
    • 01:02:49even within the Gaucher, forget
    • 01:02:51Parkinson, there's a huge phenotypic
    • 01:02:54variability that you could be
    • 01:02:55homozygous
    • 01:02:56for l triple four p,
    • 01:02:57but not actually only come
    • 01:02:59to the clinic for Parkinson,
    • 01:03:01you know, that you made
    • 01:03:02it all through childhood just
    • 01:03:04fine. In partly because the
    • 01:03:06sphingolipid
    • 01:03:08metabolism pathway is highly hairy
    • 01:03:10and complex
    • 01:03:11and that there are many
    • 01:03:12modifiers.
    • 01:03:13So there have been a
    • 01:03:14huge quest to find modifiers,
    • 01:03:17because they would make the
    • 01:03:19perfect therapeutic
    • 01:03:20target because in humans, they're
    • 01:03:22actually
    • 01:03:23modifying the disease.
    • 01:03:25And
    • 01:03:26we are also looking for
    • 01:03:27those.
    • 01:03:28We have a couple.
    • 01:03:30We're not ready for a
    • 01:03:31short time. But, you know,
    • 01:03:32Dimitri Crunk's lab has done
    • 01:03:34a lot on that front,
    • 01:03:35and they found recently a
    • 01:03:37command Khan's labs.
    • 01:03:39Controls GK's activity in duets.
    • 01:03:43And I think that
    • 01:03:44therein will be
    • 01:03:46new leads to
    • 01:03:52This
    • 01:03:53is exclusively
    • 01:03:54seen in non neuropathic
    • 01:03:57forms.
    • 01:03:58That's it. Oh, yeah. Yeah.
    • 01:03:59You're right. Okay. I didn't
    • 01:04:00go into this either.
    • 01:04:02But then yes. Because the
    • 01:04:04neuropathic
    • 01:04:05form, there are three forms
    • 01:04:06of negotiate.
    • 01:04:07Like, type one, type two,
    • 01:04:09and type three, which is
    • 01:04:10the neuropathic
    • 01:04:11form. And after the four
    • 01:04:13imputations
    • 01:04:14are associated
    • 01:04:15with neuropathic function. Yes. Because
    • 01:04:17the neuropathic forms are by
    • 01:04:19large,
    • 01:04:20early
    • 01:04:21infantile child and much more
    • 01:04:23severe.
    • 01:04:24So they don't live long
    • 01:04:26enough. Yeah.
    • 01:04:33Okay. Thank you.