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Yale Psychiatry Grand Rounds: "Bidirectional Brain-Body Circuits in Stress and Depression"

November 08, 2024

November 8, 2024

Ribicoff Lecture: "Bidirectional Brain-Body Circuits in Stress and Depression"

Scott Russo, PhD, Professor of Neuroscience and Director of the Center for Affective Neuroscience and the Brain Body Research Center, Icahn School of Medicine at Mount Sinai

ID
12334

Transcript

  • 00:00Alright. Well, thank you very
  • 00:01much. This is a real
  • 00:03pleasure to be here. It's
  • 00:04good to see a lot
  • 00:05of old friends and a
  • 00:06lot of new faces.
  • 00:08Thanks especially to AZA and
  • 00:09Marina for the invitation.
  • 00:12So I'm gonna tell you
  • 00:13about our work.
  • 00:16I'm good? Okay.
  • 00:21Good. Okay. I'm gonna tell
  • 00:22you about our our work
  • 00:24into,
  • 00:25brain immune circuitry.
  • 00:27Really taking kind of a
  • 00:29whole body,
  • 00:30more holistic integrative perspective into
  • 00:32understanding,
  • 00:34how our body responds to
  • 00:35stress and ultimately
  • 00:36what that means for psychiatric
  • 00:38disease.
  • 00:40So I think
  • 00:41when I was a student,
  • 00:43this picture was much less
  • 00:45complex for me. We really
  • 00:46thought about the brain and
  • 00:47behavior in terms of kinda
  • 00:49simple circuits in the brain.
  • 00:51You have a nerve cell
  • 00:52that's
  • 00:53probably wrapped, with by an
  • 00:55oligodendrocyte,
  • 00:57and that then signals everything
  • 00:58that's important to the brain,
  • 01:01to guide our behavior.
  • 01:03Well, it's much more complex
  • 01:04than that. I'm sure there's
  • 01:05a lot of, glial fanatics
  • 01:07in the room. There's lots
  • 01:08of other cell types beyond
  • 01:09nerve cells that can do,
  • 01:11things,
  • 01:12as complex as regulate synaptic
  • 01:13plasticity and circuit function.
  • 01:16But but even beyond that,
  • 01:17right, we kind of think
  • 01:19that that the brain is
  • 01:20somewhat cordoned off from the
  • 01:22rest of the body when
  • 01:23we do our studies, and
  • 01:24we don't really think about
  • 01:25these dynamic interactions
  • 01:27in both directions between,
  • 01:29how we feel
  • 01:30centrally and and what that
  • 01:32means for neural encoding
  • 01:34and then how our body
  • 01:35then senses those signals and
  • 01:37and communicates that bidirectionally.
  • 01:40This is particularly important, I
  • 01:42think, for conditions like depression
  • 01:43where we see a high
  • 01:44degree of comorbidity.
  • 01:46This is actually the these
  • 01:47are the, datasets that really
  • 01:49drove me towards this field
  • 01:51was that depression is not
  • 01:53a singular disease in most
  • 01:54cases. You see depression associated
  • 01:57with,
  • 01:58several,
  • 01:59general medical conditions as well
  • 02:01as several other brain diseases,
  • 02:03including both neurological and psychiatric
  • 02:05diseases. And one of the
  • 02:06common features that kind of
  • 02:08that that connects all of
  • 02:10these is the immune system.
  • 02:12Many of these diseases
  • 02:14are caused by either primary
  • 02:16or secondary
  • 02:17disturbances
  • 02:17either in immunity,
  • 02:19inflammation, or some immunological
  • 02:22process.
  • 02:24If you look at the
  • 02:24prevalence rates, for example, for
  • 02:26some of these kind of
  • 02:27bonafide autoimmune or inflammatory diseases,
  • 02:31depression risk goes way up.
  • 02:33In in a given year,
  • 02:34it might be,
  • 02:36a risk of three point
  • 02:36two percent in the general
  • 02:38population. But look at asthma.
  • 02:39Asthma
  • 02:40is eighteen point one percent.
  • 02:42This really does argue that
  • 02:43there's something shared
  • 02:45that's that's that's causing this
  • 02:47really substantial
  • 02:49increased risk of of developing
  • 02:50a psychiatric syndrome. And the
  • 02:52data for anxiety actually looks
  • 02:54similar. So it's not
  • 02:56just,
  • 02:57depression or or or mood
  • 02:59disorders. It does seem to
  • 03:00be this broad swath of
  • 03:01stress related conditions.
  • 03:04We put together this table
  • 03:06recently.
  • 03:07Actually, postdoc in my lab,
  • 03:08Kenny Chan, put this table
  • 03:09together as as part of
  • 03:10a
  • 03:11review, trying to just,
  • 03:13accumulate,
  • 03:14knowledge around biomarkers,
  • 03:16that are shared amongst these
  • 03:18general conditions.
  • 03:20Is there a a pointer?
  • 03:23I have an extra one.
  • 03:24You have an extra one?
  • 03:25I'll use maybe I'll just
  • 03:26use this. Yes. You guys
  • 03:27can see that. Right? Oh,
  • 03:29that is right. Yeah. That's
  • 03:30a good idea.
  • 03:31Perfect. So if you look,
  • 03:33these are these are,
  • 03:34cytokine profiles that came from
  • 03:36a range of different studies
  • 03:38that we see shared amongst
  • 03:39patients with various illnesses from
  • 03:41depression
  • 03:42all the way down to
  • 03:43coronary artery disease,
  • 03:45and then there are equivalent
  • 03:46mouse models. And you can
  • 03:47see there's a lot of
  • 03:48shared features. A lot of
  • 03:49the same players are coming
  • 03:50up in both.
  • 03:52Back in the day, I
  • 03:53think that we all looked
  • 03:54at this data and thought,
  • 03:55well, of course, you're you're
  • 03:57you're inflamed. Of course, your
  • 03:59body's responding.
  • 04:00It's just a consequence of
  • 04:01being stressed, but it's an
  • 04:02unrelated biomarker
  • 04:04because we know that the
  • 04:05brain cordon off all of
  • 04:06these factors and sequesters them
  • 04:08in in in circulation and
  • 04:10prevents them from actually acting
  • 04:12upon brain circuits.
  • 04:13So while it might be
  • 04:14interesting for, you know, diagnostic
  • 04:16purposes, I don't think there's
  • 04:18a path forward for treatment.
  • 04:21I didn't believe that.
  • 04:23And so when I was
  • 04:24starting my lab years ago,
  • 04:25I posed, I think, three
  • 04:27main questions that I set
  • 04:28out to answer with respect
  • 04:30to these. The first was,
  • 04:31what are the cellular mechanisms
  • 04:33that are underlying these effects?
  • 04:34Because we had no concept
  • 04:36of where these inflammatory molecules
  • 04:38were coming from. They come
  • 04:39they're produced and secreted by
  • 04:41a diverse,
  • 04:42number of different cell types
  • 04:43throughout the brain and the
  • 04:44body.
  • 04:45And so we wanted to
  • 04:46define what these cell,
  • 04:48these cellular mechanisms were.
  • 04:51Then we wanted to show
  • 04:52that immune cells and their
  • 04:53factors that they secrete could
  • 04:55in fact interface with brain
  • 04:57circuitry. I know it sounds
  • 04:58kind of
  • 04:59obvious now, but, you know,
  • 05:01fifteen years ago,
  • 05:02I remember my first post
  • 05:04doc coming back from a
  • 05:05meeting,
  • 05:06where she said somebody came
  • 05:07up to her and told
  • 05:08her that her project was
  • 05:09useless
  • 05:10because I l six doesn't
  • 05:12get into the brain. And
  • 05:13so
  • 05:14this was a concept that's
  • 05:15really become more and more
  • 05:17accepted, but wasn't as recently
  • 05:18as fifteen years ago.
  • 05:21And then lastly, this is
  • 05:22maybe a a a a
  • 05:23newer line of research, but,
  • 05:26but I think it's starting
  • 05:27to enable us to get
  • 05:28at these comorbidities and, you
  • 05:30know, go beyond psychosomatic medicine
  • 05:32and actually define mechanisms that
  • 05:34might drive these types of
  • 05:35comorbidities because it's not just
  • 05:36all in your brain. It's
  • 05:37not just all in your
  • 05:38mind.
  • 05:39And so this this last
  • 05:40part, I hope I can
  • 05:41get to it. I'm being
  • 05:42a little ambitious today, but
  • 05:43this would, potentially tell you
  • 05:45a little bit about, some
  • 05:46of these upstream mechanisms where
  • 05:48the brain is actually sensing
  • 05:49stress and sending signals down
  • 05:51to the periphery.
  • 05:53So this is my outline.
  • 05:55I'm gonna start with a
  • 05:56bottom up perspective. This is
  • 05:58where we know the most,
  • 05:59where we're
  • 06:01focusing on how,
  • 06:02systemic immune compartments can interface
  • 06:05with brain circuits to control
  • 06:06behavior.
  • 06:07And then in part two,
  • 06:09I'm gonna talk about a
  • 06:10top down mechanism in which
  • 06:12the brain is regulating gut
  • 06:13dysbiosis.
  • 06:16So,
  • 06:17you always have to have
  • 06:18a good clinical partner if
  • 06:19you're a preclinical basic scientist
  • 06:21studying psychiatric disease because,
  • 06:24mice are not depressed. Mice
  • 06:25do not exhibit the classic
  • 06:27psychiatric syndromes that you may,
  • 06:30encounter in the clinic.
  • 06:31And so,
  • 06:33very early on at Mount
  • 06:34Sinai, I found my clinical
  • 06:35partner. That's James Murrell. Many
  • 06:37of you may know him
  • 06:38probably more from his work
  • 06:39in ketamine,
  • 06:41with Dennis Charney, but he's,
  • 06:43now a convert. I would
  • 06:44call him a burgeoning neuroimmunologist.
  • 06:47And what we did was
  • 06:48we built a bio,
  • 06:49repository
  • 06:51of, patients that were coming
  • 06:52through his depression and anxiety
  • 06:53clinic.
  • 06:54They would come in,
  • 06:56they get a clinical, workup,
  • 06:58including,
  • 07:00not just psychiatric workup, but
  • 07:02basic labs like CBC with
  • 07:04differential.
  • 07:05We have lots of of
  • 07:06rich data clinically,
  • 07:09you know, of clinical scales.
  • 07:10We have lots of imaging
  • 07:11data on these. One of
  • 07:12the things that became clear
  • 07:14early on was that patients
  • 07:15that suffered from depression, at
  • 07:16least a subset of them,
  • 07:18exhibited myelopoiesis.
  • 07:19And this is an increase
  • 07:21either in the production or
  • 07:22the release of monocytes and
  • 07:24neutrophils into the bloodstream.
  • 07:26And you can see that
  • 07:27shown over here. We don't
  • 07:28see disturbances broadly across other,
  • 07:31leukocyte subtypes, including lymphocytes. We've
  • 07:33done more sophisticated analysis,
  • 07:36in these, but it really
  • 07:37does appear that myelopoiesis is
  • 07:39an enduring,
  • 07:41response of the body to
  • 07:43being depressed or stressed. This
  • 07:44has been shown by many
  • 07:45other groups too, by the
  • 07:46way. This just came up.
  • 07:48This is not something that
  • 07:49we've, proven ourselves only. So
  • 07:51but what we did find
  • 07:52because we have this rich
  • 07:54clinical dataset was there are
  • 07:56some clinical correlates of myelopoiesis
  • 07:58that are interesting. For example,
  • 08:00stress.
  • 08:01This is one type of
  • 08:02stress that we measure based
  • 08:04on childhood trauma or the
  • 08:05intensity of childhood trauma, but
  • 08:07we see equivalent correlations with,
  • 08:09for example, perceived stress. If
  • 08:11you ask the patient how
  • 08:11stressed are you, they'll endorse
  • 08:13a number, and that's also
  • 08:15correlated with myelopoiesis. So in
  • 08:17humans, it does appear to
  • 08:18be stress driven.
  • 08:20So stress and trauma increases
  • 08:22myeloid cells and potentially
  • 08:24causes some disturbance in behavior.
  • 08:26These cells are also more
  • 08:27reactive. You can take them.
  • 08:28You can harvest them from
  • 08:29blood. You can put them
  • 08:30into a dish. You can
  • 08:31stimulate them with an agonist,
  • 08:32and they release more pro
  • 08:33inflammatory factors in response to
  • 08:35it if they came from
  • 08:36a depressed person versus a
  • 08:38healthy control.
  • 08:40But they can't they have
  • 08:41to get into the brain.
  • 08:42And around,
  • 08:44I should also say, because
  • 08:45I think I forgot to
  • 08:46say this, but this was
  • 08:47led by a very talented
  • 08:48former postdoc, Florian Kathomas,
  • 08:50a psychiatrist
  • 08:51now back in Switzerland.
  • 08:54An earlier postdoc in the
  • 08:55lab wanted to understand whether
  • 08:57or not there was a
  • 08:58potential breach
  • 08:59in the barrier systems that
  • 09:01would have potentially prevented some
  • 09:03of these,
  • 09:05immune to brain interactions. And
  • 09:06so she started by assessing
  • 09:08this is Carolyn Menard, by
  • 09:09the way. She started by
  • 09:11assessing,
  • 09:12various blood brain barrier health
  • 09:13markers in brains of postmortem
  • 09:15patients with depression.
  • 09:18And she found a loss
  • 09:19of one particular factor, cloudin
  • 09:21five. Cloudin five is an
  • 09:23epithelial
  • 09:24specific tight junction protein. So
  • 09:25it's really only expressed in
  • 09:27the neurovasculature
  • 09:28in brain. No other cell
  • 09:29type. And it's a membrane
  • 09:31spanning protein that links up.
  • 09:33It kinda zips up to
  • 09:34endothelial cells and blood vessels
  • 09:36so that,
  • 09:37it creates a a a
  • 09:38an initial barrier. It's the
  • 09:40first layer of the blood
  • 09:41brain barrier so that,
  • 09:43molecules can't passively diffuse through
  • 09:45the spaces between those endothelial
  • 09:47cells. And she found that
  • 09:48it was lost in both
  • 09:50cases.
  • 09:52It wasn't reversed by antidepressant
  • 09:54status, but I should caution
  • 09:55you caution you. Most of
  • 09:56these cases are suicide cases.
  • 09:59We have
  • 09:59basically no information on therapeutic
  • 10:02efficacy. It's just at the
  • 10:04time of death that they
  • 10:05have an antidepressant in their
  • 10:07system or not. If we
  • 10:08do controlled rodent studies using,
  • 10:10say, for example, social defeat
  • 10:12stress and then treatment with
  • 10:14thirty days of chronic omepramine,
  • 10:16Animals that respond to that
  • 10:18thirty day course of omepramine
  • 10:20do show evidence of normalization
  • 10:21of barrier proteins. So it's
  • 10:23possible that even standard antidepressants,
  • 10:25when therapeutically therapeutically
  • 10:27efficacious,
  • 10:28could have beneficial effects to
  • 10:30your barrier.
  • 10:31A
  • 10:32more a more recent study
  • 10:33came out confirming these data
  • 10:34at a functional level at
  • 10:35least in a subset of
  • 10:36patients.
  • 10:37For this, this group used
  • 10:39something called d c DCE
  • 10:41MRI.
  • 10:42For the clinicians, you might
  • 10:43use this,
  • 10:45for example,
  • 10:46in in neurology to identify
  • 10:47a tumor or a stroke.
  • 10:49What you do is you
  • 10:50inject a contrast
  • 10:52dye gadolinium.
  • 10:53You inject it intravenously,
  • 10:55and you let it perfuse
  • 10:56into the into the brain,
  • 10:57and you can then measure
  • 10:58the fluorescence by MRI
  • 11:00as a measure of of
  • 11:01of, periphery to brain, infiltration.
  • 11:04And they showed evidence that
  • 11:05there was increased permeability at
  • 11:06the functional level.
  • 11:07We were disappointed a little
  • 11:09bit because we were doing
  • 11:10the same study with James's
  • 11:11group. This is work led
  • 11:12by, Sarah Costi,
  • 11:14a resident, in James' group
  • 11:16and, again, Florin Katamas.
  • 11:19Ours is a has a
  • 11:20little bit more rich clinical
  • 11:21data, so we can kind
  • 11:22of make associations better.
  • 11:25But these are the different
  • 11:26features that we collected across
  • 11:28this cohort from whole brain
  • 11:29permeability to,
  • 11:31immune markers like this metalloproteinase,
  • 11:34which I'll get into a
  • 11:34little bit more later on,
  • 11:36several clinical scales that tap
  • 11:38into anxiety, depression,
  • 11:41trauma, and then, we always
  • 11:43get a CBC with differential
  • 11:44for leukocyte subcount or subdistributions.
  • 11:48We don't see broad group
  • 11:49differences. And I think if
  • 11:50you looked at the previous
  • 11:51dataset, that was also the
  • 11:53case. Right? It was a
  • 11:54few subjects pulling them up.
  • 11:55In fact, we think about
  • 11:56twenty five percent of all
  • 11:58patients with depression may exhibit
  • 12:00this this type of immune
  • 12:02biosignature.
  • 12:04We don't think it's everybody,
  • 12:05for example. But what we
  • 12:06do see is some clinical
  • 12:08predictors of brain health,
  • 12:10and the biggest one being
  • 12:11a history of childhood trauma.
  • 12:13Much, much more predictive than
  • 12:15even the individual's own perception
  • 12:17of their stress, which is
  • 12:18captured by the PSS score.
  • 12:20As you can see strong
  • 12:21correlations
  • 12:22between MMP,
  • 12:23brain permeability,
  • 12:25and several myeloid,
  • 12:27cell subtypes.
  • 12:28If you look a little
  • 12:29bit deeper into this data,
  • 12:31you can see really,
  • 12:32in terms of childhood trauma,
  • 12:34it's a history of physical
  • 12:35abuse and psychological abuse, so
  • 12:37social trauma that's driving a
  • 12:39lot of the brain permeability
  • 12:40that we see. It's also
  • 12:43of the two myeloid subtypes
  • 12:44that we capture, it seems
  • 12:46that monocytes seem to be
  • 12:47more broadly in at least
  • 12:49correlated with some of these
  • 12:50factors,
  • 12:51suggesting maybe that monocytes and
  • 12:53a history of trauma might
  • 12:55be the two features that
  • 12:56we're looking at when we're
  • 12:57thinking about the immune biotype
  • 12:58of depression.
  • 13:00All of this has led
  • 13:01to this hypothesis. We think
  • 13:02that stress somehow, maybe through
  • 13:04direct circuits that go from
  • 13:06brain to body and innervate
  • 13:07bone marrow, are causing an
  • 13:09increase in the differentiation release
  • 13:10of these myeloid cells into
  • 13:12circulation.
  • 13:13Once in circulation,
  • 13:15they're actively trans,
  • 13:17locating to neurovascular
  • 13:18spaces. This isn't just a
  • 13:20passive diffusion effect. They're not
  • 13:22getting into the brain, we
  • 13:23don't think, at least, at
  • 13:24this point.
  • 13:25We think that they're they're
  • 13:26adhering to the endothelial wall
  • 13:28in local neurovascular
  • 13:30niches and then secreting factors
  • 13:32that can gain access to
  • 13:33the parenchyma
  • 13:34via holes, essentially, in the
  • 13:36up endothelial,
  • 13:38in in the endothelial lining.
  • 13:41So before I get to
  • 13:42my out mouse model, I
  • 13:44mentioned we don't have models
  • 13:45of depression. I think that's
  • 13:46very clear. We probably don't
  • 13:47have models of any psychiatric
  • 13:48disease. But I do think
  • 13:50that trauma is something that's
  • 13:52evolutionarily conserved, and our bodies
  • 13:54can respond to trauma in
  • 13:55ways that are very similar.
  • 13:57And we do have ethologically
  • 13:58valid models of mouse trauma.
  • 14:00We've been using it for
  • 14:01years. We've been calling it
  • 14:02a depression model.
  • 14:04But, effectively, the social defeat
  • 14:05stress model is a social
  • 14:07trauma model.
  • 14:08Animals are
  • 14:10chronically and consistently exposed to
  • 14:12short bouts of bullying and
  • 14:14social subordination much like humans.
  • 14:17And then
  • 14:18on top of that physical
  • 14:20abuse or that physical trauma,
  • 14:22there's a a sensory period.
  • 14:24There's this psychological trauma of
  • 14:25being housed next to your
  • 14:27aggressor
  • 14:28knowing full well what's happening
  • 14:29the following day.
  • 14:31And so we like this
  • 14:32model in terms of capturing
  • 14:33aspects of social trauma that
  • 14:35might be driving psychopathology.
  • 14:37And I think one of
  • 14:38the unique things that was
  • 14:39was first characterized by Eric
  • 14:41Nessler's group, and,
  • 14:43I was lucky to be
  • 14:44a postdoc. Ralph was a
  • 14:45new assistant professor just getting
  • 14:47going at the time. It
  • 14:47was a really exciting time
  • 14:48to be in the lab,
  • 14:49but they showed that this
  • 14:51genetically identical
  • 14:53inbred line of mice showed
  • 14:54vastly different responses to this
  • 14:56trauma that could be captured
  • 14:58in a simple readout of
  • 14:59social interaction behavior, and that
  • 15:01is simply asking the mouse
  • 15:02to interact with an aggressor
  • 15:04inside a cage or
  • 15:06to interact with an empty
  • 15:08cage.
  • 15:09And it's been it's been
  • 15:11really predictive of a lot
  • 15:12of more complex behaviors, but
  • 15:13we never really understood what
  • 15:14it meant. We called it
  • 15:16depression. We called it social
  • 15:17reward. It's probably fear and
  • 15:19trauma, if I'm honest.
  • 15:21So a couple of years
  • 15:23ago, just as a quick
  • 15:24sidestep, and then I'll go
  • 15:25back to the immunology bit.
  • 15:27I had a postdoc in
  • 15:28the lab that was interested
  • 15:29in this to see if
  • 15:29it's what this really is.
  • 15:32And so this is we
  • 15:33we think it's fear generalization,
  • 15:35actually, is what we're capturing
  • 15:36because here's a modified version
  • 15:38of the model.
  • 15:41So this is a resilient
  • 15:42mouse. This is a mouse
  • 15:43that doesn't show social avoidance
  • 15:44to the to the aggressor
  • 15:46after ten days of defeat.
  • 15:47We drop a a same
  • 15:48sex juvenile mouse that's nonthreatening
  • 15:51and nonaggressive into its home
  • 15:52cage, and we look at
  • 15:54the interaction.
  • 15:55Juveniles are rewarding. They actually
  • 15:57press levers for these guys.
  • 15:58It's really amazing. They develop
  • 16:00place preference for them, and
  • 16:02they're very interactive. They're very
  • 16:03interested in them. Look what
  • 16:05happens when we select a
  • 16:06susceptible mouse. We drop a
  • 16:08juvenile. Now, again, these juvenile
  • 16:09mice are two to three
  • 16:10weeks younger.
  • 16:12They're they're they're not attacking.
  • 16:13They're not showing any evidence
  • 16:15of threat, and this susceptible
  • 16:17mouse is clearly viewing that
  • 16:18animal as a threat. He
  • 16:20went on to show that,
  • 16:21effectively, what's happening is this
  • 16:22threat sensors in the brain
  • 16:24are occluding the ability of
  • 16:25these animals to develop social
  • 16:26reward, and that's why we
  • 16:28think it's something akin to
  • 16:29fear generalization.
  • 16:31Back to immunology.
  • 16:32So from these mice, after
  • 16:34this interaction, what we did
  • 16:35was we did we collected
  • 16:36blood, and we took a
  • 16:37very high altitude
  • 16:39assessment of their leukocyte subtype
  • 16:42distribution throughout blood. Now this
  • 16:44is approximately very close to
  • 16:46the stress, so it's a
  • 16:47little bit different than what
  • 16:48we see in humans, but
  • 16:49it gives us a sense
  • 16:50of what's going on. This
  • 16:51is, these are tSNE plots
  • 16:53that came from a mass
  • 16:54cytometry study. Mass cytometry is
  • 16:57a lot like flow. It
  • 16:57uses heavy metals conjugated to
  • 17:00antibodies. It gives you a
  • 17:01lot more flexibility in terms
  • 17:03of the number of surface
  • 17:04antigens you can apply. But,
  • 17:06we we used approximately
  • 17:08fifty different types of surface
  • 17:09antigens to care broadly characterize
  • 17:11these immune cell subtypes.
  • 17:13And we found two interesting
  • 17:14things. One is that stress
  • 17:16really dramatically activates the innate
  • 17:17immune cells. Right? So these
  • 17:19are myeloid cells like neutrophils
  • 17:21and monocytes.
  • 17:22And it's broadly immunosuppressive.
  • 17:24So these are,
  • 17:26showing data from b cells,
  • 17:28various subtypes of b cells
  • 17:29involved in adaptive immunity, and
  • 17:31then we get similar profiles
  • 17:33with t cells, etcetera.
  • 17:34And this is maybe also
  • 17:35not surprising because we all
  • 17:37know when we get sick,
  • 17:39it's usually because we just
  • 17:40came off of a very
  • 17:41stressful time in our in
  • 17:42our lives, and our our
  • 17:43immune system's down,
  • 17:45and and we're now more
  • 17:46vulnerable. But the thing that
  • 17:47we didn't see is any
  • 17:49differences between our our our
  • 17:50behaviorally distinct groups of mice,
  • 17:52which was a little disappointing.
  • 17:54But luckily, Florin was also
  • 17:57piloting brain CyTOF at the
  • 17:59time, so we were able
  • 18:00to get immune cell profiles
  • 18:01in the brain of these
  • 18:02mice as well. And the
  • 18:03first thing I want you
  • 18:04to notice is there's obviously
  • 18:05not as many leukocyte subtypes
  • 18:07in the brain. Most of
  • 18:08them are not resident, for
  • 18:09example. But the most predominant
  • 18:11one is, in fact, these
  • 18:12microglia or brain resident macrophages,
  • 18:14which isn't surprising.
  • 18:16When we looked across all
  • 18:18of these different subtypes that
  • 18:19we were able to detect,
  • 18:20really only monocytes gave us
  • 18:22any inkling of a signature.
  • 18:24And and and to be
  • 18:26frank, this is a a
  • 18:27pretty minor effect.
  • 18:29And part of that is
  • 18:30due to the fact that
  • 18:30in these early days of
  • 18:32CyTOF, in order to get
  • 18:33enough cells, because there's not
  • 18:34a lot of monocytes
  • 18:36in the brain relative to
  • 18:37other cell types, we had
  • 18:38to crush down an entire
  • 18:40brain per sample. And so
  • 18:41we're getting nothing about kind
  • 18:43of region specificity or selectivity.
  • 18:46But we did see evidence
  • 18:47that there might be trafficking
  • 18:49increases in these susceptible mice
  • 18:51where lies where these monocytes,
  • 18:53though being the same in
  • 18:54circulation,
  • 18:55are somehow,
  • 18:57entering or or or attaching
  • 18:59to the brain neurovasculature
  • 19:00at higher levels in susceptible
  • 19:02mice. But to get more
  • 19:04granular
  • 19:05data,
  • 19:05we decided to use,
  • 19:07a brain clearing procedure called
  • 19:09iDisco,
  • 19:11combined with the this transgenic
  • 19:13line that allows us to
  • 19:15distinguish
  • 19:16the, peripherally derived monocytes from,
  • 19:18for example, central microglia.
  • 19:21We use the CCR two
  • 19:22promoter to drive, red fluorescent
  • 19:24protein. And you can see
  • 19:25there's actually a lot of
  • 19:26monocytes
  • 19:28in the brain, not as
  • 19:29many as as, of, monocytes
  • 19:31as there are, for example,
  • 19:32of microglia. But as we
  • 19:33start to kinda hone into
  • 19:34these brains, you'll start to
  • 19:36see these small round circles.
  • 19:37Each one of those are
  • 19:38a monocyte.
  • 19:40So there's lots of these
  • 19:41in the brain somewhere,
  • 19:42and they seem to be
  • 19:43expressed or or,
  • 19:45attached in various places across
  • 19:47the extent of it. So
  • 19:49this time when we quantified
  • 19:50again, we got the same
  • 19:51type of effect,
  • 19:53in susceptible mice across the
  • 19:54entire brain,
  • 19:56and it was it was
  • 19:57correlated to our behavioral phenotype.
  • 20:00But what became really interesting
  • 20:01was when we started thinking
  • 20:02about region specific
  • 20:04accumulation of these monocytes,
  • 20:06that's where we think
  • 20:08the the data is is
  • 20:09starting to uncover something, unique.
  • 20:11So in incumbents, in the
  • 20:12ventral striatum, we see an
  • 20:14increase in susceptible mice, but
  • 20:16we don't see anything in
  • 20:17the cortex.
  • 20:18So despite the fact that
  • 20:19there's all these monocytes
  • 20:21floating around in circulation,
  • 20:23they're only attaching in certain
  • 20:25parts of the brain.
  • 20:27And
  • 20:28based on a previous study
  • 20:30that Carolyn had done back
  • 20:31in the day where she
  • 20:32used that same MRI,
  • 20:34gadolinium method to measure brain
  • 20:36wide permeability
  • 20:37following social defeat stress.
  • 20:39She found this this interesting
  • 20:41pattern, which at least is
  • 20:43aligned somewhat with these monocyte
  • 20:45data.
  • 20:46The accumbens, for example,
  • 20:48shows increased permeability
  • 20:50in susceptible mice,
  • 20:52but not the prefrontal cortex.
  • 20:54And so we've started to
  • 20:55look at this more broadly,
  • 20:56and it does appear that
  • 20:57areas where monocytes are accumulating
  • 20:59are the areas of the
  • 21:00brain where we're starting to
  • 21:01see these endothelial holes in
  • 21:03this increase of brain permeability.
  • 21:05We don't know if that
  • 21:06they're causal yet, but we
  • 21:07do think that they might
  • 21:08be.
  • 21:10However and, again, this gets
  • 21:11back to this point of
  • 21:13where these monocytes are. This
  • 21:14is important because it changes
  • 21:16how we think about the
  • 21:17mechanism.
  • 21:18They're not inside the brain.
  • 21:19They're too big. They're not
  • 21:21getting through these small little
  • 21:22holes in the endothelium.
  • 21:24What they're doing is they're
  • 21:25adhering to the endothelial
  • 21:27cells themselves, and we think
  • 21:28we know why.
  • 21:30We did a study recently
  • 21:31where we, we did trap
  • 21:33seek. This is using,
  • 21:35the ribosomal
  • 21:36affinity proto
  • 21:38profiling protocol, not the cell
  • 21:40capture protocol.
  • 21:41And we're able to isolate,
  • 21:43RNAs that are poised at
  • 21:45the ribosome for translation.
  • 21:47And when we seek those,
  • 21:48a lot of adhesion molecules
  • 21:50were upregulated
  • 21:51in these vulnerable mice in
  • 21:53endothelium
  • 21:54in areas like accumbens, but
  • 21:56not in cortex.
  • 21:57So I think what's happening
  • 21:58in the areas where we
  • 21:59see this accumulation,
  • 22:00these adhesion molecules, these junctional
  • 22:03adhesion molecules molecules
  • 22:05whose sole purpose is to
  • 22:06reach into the luminal side
  • 22:07of the blood vessel and
  • 22:08grab on to myeloid cells
  • 22:10are being upregulated in those
  • 22:11regions where we're seeing blood
  • 22:13brain barrier damage and monocyte
  • 22:14accumulation.
  • 22:17But what are these monocytes
  • 22:18doing? And And can this
  • 22:19give us any insight into,
  • 22:21what what mechanisms might be
  • 22:23driving this interaction? For this,
  • 22:24we did,
  • 22:25single cell RNA sequencing.
  • 22:27And by doing this, we
  • 22:28were able to, characterize four
  • 22:30unique subtypes based on
  • 22:33on transcriptional profiles,
  • 22:36and one of them seemed
  • 22:37to be enriched in susceptible
  • 22:39mice. You can see this
  • 22:40cluster zero right here.
  • 22:42What is cluster zero? We
  • 22:43did a gene ontology analysis,
  • 22:46and, actually, some unexpected thing
  • 22:47some expected things came up
  • 22:48and some unexpected things came
  • 22:50up. And, of course, we
  • 22:51went after the unexpected things
  • 22:52because we thought they were
  • 22:53more interesting.
  • 22:54And that is,
  • 22:56these genes that were making
  • 22:57up up terms such as
  • 22:59the extracellular matrix and the
  • 23:00extracellular
  • 23:01space. We thought why the
  • 23:02hell would an immune cell
  • 23:04have a transcription profile in
  • 23:06brain to regulate the extracellular
  • 23:07matrix. Prominent among these was
  • 23:09MMP eight. This is matrix
  • 23:11metalloproteinase.
  • 23:12We've done some some investigation
  • 23:14into it. It happens to
  • 23:16be upregulated in depression.
  • 23:18Three studies have now validated
  • 23:20this finding since we published
  • 23:22our paper, which is really
  • 23:23cool.
  • 23:25So it it's bonafide. It's
  • 23:26a subset of patients.
  • 23:28It's shown at multiple levels,
  • 23:30and it
  • 23:31seems to be coming from
  • 23:32a myeloid cell. And, again,
  • 23:34it correlates with that trauma
  • 23:35score that I talked about
  • 23:36earlier.
  • 23:38But what is MMP eight?
  • 23:40It's not there's not a
  • 23:40lot known, and there's almost
  • 23:41nothing in brain because it's
  • 23:43not produced in the brain.
  • 23:44Right? There's other MMPs that
  • 23:45are definitely produced in the
  • 23:47brain, and we've characterized them.
  • 23:48This is produced by myeloid
  • 23:50cells. It's only expressed by
  • 23:51neutrophils
  • 23:52and monocytes.
  • 23:54And I think the best
  • 23:56characterized role for it
  • 23:58and and if if you
  • 23:59guys are any MMP eight
  • 24:00aficionados and have another explanation,
  • 24:02you might be right. But
  • 24:04I like the story about
  • 24:05this role in cardiovascular
  • 24:06disease.
  • 24:07So because it helps me
  • 24:08to understand what it might
  • 24:09be doing in the brain.
  • 24:11So I'm gonna try to
  • 24:12explain this, but, you know,
  • 24:14basically, this is an,
  • 24:15an, an aortic plaque, and
  • 24:17you can see that it's
  • 24:18got this really dense lipid
  • 24:20core.
  • 24:21The stability of this plaque
  • 24:22is critically important because if
  • 24:24it ruptures and that lipid
  • 24:26core diffuses,
  • 24:27that can be really bad,
  • 24:29medically speaking. Right? So you
  • 24:31wanna stable if you're gonna
  • 24:32have plaques, you want a
  • 24:33stable plaque. And a stable
  • 24:34plaque is derived from this
  • 24:36fibrous cap right here, which
  • 24:37is made up of collagen.
  • 24:39Now in the case of
  • 24:40of inflammation
  • 24:42and cardiovascular
  • 24:43disease,
  • 24:44macrophages
  • 24:45infiltrate the fibrous cap. You
  • 24:47can see them shown right
  • 24:48here and here, and they
  • 24:49produce MMP eight. MMP eight
  • 24:52is secreted,
  • 24:53and it breaks down the
  • 24:54collagen network
  • 24:55that makes up that fibrous
  • 24:57cap. Now you get plaque
  • 24:58instability, and you get a
  • 25:00cardiovascular
  • 25:00event.
  • 25:02And in fact, I'm gonna
  • 25:03take another little detour.
  • 25:05Susceptible mice do show exactly
  • 25:06this profile. So if you
  • 25:07take,
  • 25:09and look at aortic plaques
  • 25:10in these different subgroups of
  • 25:12animals, susceptible mice have the
  • 25:14largest aortic plaques,
  • 25:15and they have the highest
  • 25:16distribution of macrophages.
  • 25:18The CD eight marker labels
  • 25:20macrophages. So it does appear
  • 25:23that this mechanism
  • 25:24could be involved in increasing
  • 25:26one's risk for cardiovascular
  • 25:28disease. It's a whole lecture.
  • 25:29I'm not gonna talk about
  • 25:30it. I'm I'm gonna talk
  • 25:31about the brain today, but
  • 25:32I did wanna take this
  • 25:33little detour because I want
  • 25:35you to be thinking whole
  • 25:36body now. You know, these
  • 25:37are not mechanisms that were
  • 25:38derived to affect the brain.
  • 25:40These are things that are
  • 25:41disrupted in our body, and
  • 25:42they're gonna impact lots of
  • 25:44different systems in our body.
  • 25:46And this is the type
  • 25:46of work that may explain
  • 25:48why
  • 25:49cardiovascular
  • 25:50mortality
  • 25:51is is a hundredfold higher
  • 25:52in a patient with depression,
  • 25:53for example, if they have
  • 25:54a heart attack.
  • 25:56At any rate, what does
  • 25:57it do in the brain?
  • 25:58Well, there's not a lot
  • 25:59known in the brain. There's
  • 26:00some evidence actually that MMP
  • 26:01eight cleaves
  • 26:03junctional proteins, so that might
  • 26:04be why monocytes
  • 26:06that accumulate that express this
  • 26:08can are associated with open
  • 26:10regions of the blood brain
  • 26:11barrier possibly. We haven't tested
  • 26:12it yet. We were more
  • 26:14interested in its potential role
  • 26:15for regulating synaptic physiology because
  • 26:18there is a big literature
  • 26:20in neuroscience that's
  • 26:22characterized
  • 26:22the impact of the brain's
  • 26:24extracellular matrix on plasticity
  • 26:26and synaptic physiology.
  • 26:29But it's not MMP eight.
  • 26:30It's about other MMPs. For
  • 26:32example, MMP nine, which is
  • 26:33secreted by glial cells locally.
  • 26:35And what this does is
  • 26:36it breaks down
  • 26:38the extracellular
  • 26:39proteins that are made up
  • 26:40of collagens and proteoglycans
  • 26:42that provide sort of structure
  • 26:44and support for the brain.
  • 26:45It breaks them down, and
  • 26:46it opens up windows of
  • 26:47plasticity where new synapse can
  • 26:49be added,
  • 26:50existing synapses can be strengthened,
  • 26:52and, ultimately, what you end
  • 26:53up with is increased synaptic
  • 26:55transmission.
  • 26:56We have a similar phenotype
  • 26:58in our stressed mice. Using
  • 26:59EM, we found that, in
  • 27:01fact, there is an increase
  • 27:02in the extracellular
  • 27:03space. So there is an
  • 27:04opening or a loosening
  • 27:06of the space between that,
  • 27:07which suggests maybe
  • 27:09that some of these gly
  • 27:11proteoglycans
  • 27:12that make up the extracellular
  • 27:14matrix are in fact decreased,
  • 27:15and we do see that.
  • 27:17I do wanna point out,
  • 27:19in these mice, we measured
  • 27:20circulating levels of MMP eight,
  • 27:22and the correlation between circulating
  • 27:23levels of MMP eight in
  • 27:25extracellular space in just a
  • 27:27small cohort like this, I
  • 27:28think, is pretty impressive.
  • 27:29Really
  • 27:30suggesting maybe that there is
  • 27:32some causal
  • 27:33links to MMP eight and
  • 27:34circulation and these effects.
  • 27:38Coming back I mean, come
  • 27:40going back to some of
  • 27:41our earliest work, when I
  • 27:42first started my lab, we
  • 27:43had been characterizing
  • 27:45some of the synaptic adaptations
  • 27:46that occur that are very
  • 27:48much in line with the
  • 27:49idea of this permissive extracellular
  • 27:51matrix state adding new synapses.
  • 27:53We showed that susceptible mice
  • 27:55have more of these, dendritic
  • 27:57spine structures, which are excitatory
  • 27:59synapses.
  • 28:00We showed at a functional
  • 28:01level, they have more functional
  • 28:03synapses. These are,
  • 28:04EPSC recordings in the presence
  • 28:06of tetrodotoxin.
  • 28:08And then to test whether
  • 28:10MMP eight was involved in
  • 28:11any of these things, we
  • 28:12generated bone marrow chimeric mice.
  • 28:14And the way you do
  • 28:15this is think about a
  • 28:16patient that has leukemia. What
  • 28:17you wanna do is you
  • 28:18wanna give them series of
  • 28:20radiation therapy to get rid
  • 28:22of all of the cancerous
  • 28:23immune cells,
  • 28:26and
  • 28:26and and all of the
  • 28:27hematopoietic,
  • 28:29stem cells that they're derived
  • 28:30from. Well, we do the
  • 28:31same thing to mice. So
  • 28:32you can irradiate a mouse.
  • 28:33You can deplete their peripheral
  • 28:35immune system, and then you
  • 28:36can,
  • 28:37reconstitute that mouse with immune
  • 28:39cells from anything.
  • 28:41Stress susceptible mouse. It confers
  • 28:43stress susceptibility.
  • 28:45In this case, we actually
  • 28:47did it with MMP eight
  • 28:48knockout mouse mice. So we
  • 28:49have now a wild type
  • 28:51adult,
  • 28:52normally developed c fifty seven
  • 28:53mouse that completely lacks MMP
  • 28:56eight in their in their
  • 28:57bone marrow, which means that
  • 28:58none of their immune cells
  • 28:59express MMP eight, and it
  • 29:01completely blocks that effect on
  • 29:03synaptic physiology that I just
  • 29:04showed you, which is amazing.
  • 29:06Right? That is that a
  • 29:07circulating factor
  • 29:08can completely block or abolish,
  • 29:11the effects of stress on
  • 29:12the physiology of our nucleus
  • 29:14accumbens medium spinae neurons.
  • 29:16We also saw that it
  • 29:17prevented that increase in extracellular
  • 29:19space, again, suggesting that there's
  • 29:21a direct causal link between
  • 29:23systemic
  • 29:24circulating MMP eight.
  • 29:25And then lastly, it normalized,
  • 29:28social interaction behavior. It also
  • 29:30normalized several other depression associated
  • 29:33or trauma associated behaviors.
  • 29:35But this is all that
  • 29:35I'm gonna show you.
  • 29:37And as I recoup myself,
  • 29:39this is probably unnecessary, but
  • 29:41I spent a lot of
  • 29:42time
  • 29:43making this slide, so you're
  • 29:44all so you're all gonna
  • 29:45watch it. Okay?
  • 29:49So this is our model.
  • 29:51What we think is happening
  • 29:52is that we're sensing stress
  • 29:54in our environment,
  • 29:55and our body is reacting
  • 29:56by mobilizing immune cells. And
  • 29:58those immune cells happen to
  • 29:59be myeloid derived
  • 30:01of the innate immune,
  • 30:02subtype
  • 30:04include
  • 30:05more specifically, probably,
  • 30:07sorry, monocytes, but also potentially
  • 30:09neutrophils.
  • 30:11Those cells actively transport. We've
  • 30:13got data that I haven't
  • 30:14shown you here,
  • 30:15that that molecular
  • 30:17signatures of active,
  • 30:19leukocyte migration are upregulated in
  • 30:21these cells, and they can
  • 30:22be prevented by pharmacological
  • 30:24blockade.
  • 30:25When they when they attach
  • 30:26or adhere to regions,
  • 30:28there seems to be barrier
  • 30:29damage and secreted factors of
  • 30:31which MMP eight is one,
  • 30:33but there's probably many other
  • 30:34can now access the parenchyma,
  • 30:36break down that brain extracellular
  • 30:38matrix, open up a window
  • 30:40of plasticity that leads to
  • 30:41changes
  • 30:42ultimately in the in the
  • 30:43firing properties of these nerve
  • 30:45cells. And these are the
  • 30:46same types of electrophysiological
  • 30:47adaptations
  • 30:48that we've shown Mary k
  • 30:50Lobo at at University of
  • 30:51Maryland has shown and and
  • 30:53many others.
  • 30:54So I'm gonna pivot now
  • 30:56to talk about
  • 30:58colons,
  • 30:58if everybody's okay with that.
  • 31:02So,
  • 31:04what are the what are
  • 31:05the possible reasons why myeloid
  • 31:08cells are activated by stress?
  • 31:09This is a question that
  • 31:10we've asked ourselves a lot.
  • 31:12And we don't know yet
  • 31:13know the answer, but I
  • 31:14think some of these studies
  • 31:15might get, a little bit
  • 31:16closer to that.
  • 31:18So why is this interesting?
  • 31:20Like other comorbidities,
  • 31:22bowel symptoms are a a
  • 31:24very common symptom of patients
  • 31:26that have depression. And in
  • 31:27fact, the the frontline treatment
  • 31:29for IBS is actually
  • 31:31I think it is still.
  • 31:32It's it's one of the
  • 31:32common. Is it frontline for,
  • 31:34like, the old school, amitriptyline,
  • 31:37for for IBS still? Or
  • 31:39do they have better drugs?
  • 31:40Anyways, it's used a lot.
  • 31:42We'll say it that way.
  • 31:44And so what's really thought
  • 31:45is that stress
  • 31:47exacerbates. So stress conditions like
  • 31:49depression exacerbate
  • 31:50bowel physiology
  • 31:51problems
  • 31:52and disrupt disrupt normal intestinal
  • 31:55processes.
  • 31:56It's thought to increase the,
  • 31:57to, alter the, motility and
  • 32:00transit from the gut. It's
  • 32:02thought to change mucus production
  • 32:04from goblet cells. It's thought
  • 32:05to increase intestinal permeability similar
  • 32:08to brain endothelial permeability,
  • 32:10and then it's thought to
  • 32:11do so through an enteric
  • 32:12neuronal population, which is heavily
  • 32:14innervating,
  • 32:15gut tissue. And all of
  • 32:16this leads to dysbiosis at
  • 32:18the level of the microbiome
  • 32:19and low grade systemic inflammation.
  • 32:21That's kind of the working
  • 32:23model from a clinical perspective.
  • 32:26Keddy Chan,
  • 32:27also postdoc in my lab,
  • 32:29currently on the job market,
  • 32:31by the way. He's spectacular.
  • 32:32Decided to to to dig
  • 32:34into this phenomenon a little
  • 32:35bit more. And he hypothesized
  • 32:36that chronic stress was gonna
  • 32:38be causing a shift in
  • 32:40the inflammatory,
  • 32:42profile
  • 32:43of of the gut, specifically
  • 32:44within the lamina propria. And
  • 32:46this would be marked by
  • 32:47a shift from
  • 32:48anti inflammatory t cells to
  • 32:50pro inflammatory t cells. That
  • 32:52would then lead to a
  • 32:53breakdown of of the epithelium
  • 32:55through a loss of tight
  • 32:56junctions,
  • 32:57and an increase in the
  • 32:59release of of of bacterial
  • 33:01end products,
  • 33:02I e endotoxins
  • 33:03like lipopolysaccharide,
  • 33:05from the gut into circulation.
  • 33:07Myeloid cells contain or are
  • 33:09enriched actually in an LPS
  • 33:12receptor called the TLR four
  • 33:14receptor. So LPS
  • 33:15endotoxemia
  • 33:17activates innate immune cells
  • 33:19in circulation
  • 33:20to then be pro inflammatory
  • 33:22and release inflammatory molecules, and
  • 33:24this was his hypothesis.
  • 33:25So he first started with,
  • 33:27flow cytometry,
  • 33:28investigation of the gut immune
  • 33:30environment,
  • 33:31and he found that chronic
  • 33:32social defeat stress increases
  • 33:35these, t h one inflammatory
  • 33:37t cells. They're marked by
  • 33:39high levels expression of interferon
  • 33:41and, CD four.
  • 33:44There was also a reduction
  • 33:46in, t h two anti
  • 33:47inflammatory cells marked by interleukin
  • 33:50four and CD four. So
  • 33:51the ratio of this these
  • 33:53two markers is really important,
  • 33:55and it seemed to be
  • 33:55skewed to a highly inflammatory
  • 33:57state.
  • 33:59We're no longer we've been
  • 34:00reprimanded statistically for years about
  • 34:03using the term susceptibility and
  • 34:04resilience.
  • 34:06So we're now using it
  • 34:07as a continuous variable,
  • 34:08but you could still see
  • 34:09those populations
  • 34:10right here. So
  • 34:13Okay. So permeability.
  • 34:15To get permeability
  • 34:16assessments, Kenny
  • 34:18took,
  • 34:18physidextrin. It's a dye,
  • 34:21and he gavaged mice following
  • 34:22social defeat.
  • 34:24And then if you take
  • 34:25blood from these mice, you
  • 34:26can,
  • 34:28perform an an analysis of
  • 34:29of, the how much FITC
  • 34:31dextrin is now in circulation.
  • 34:33Under normal conditions, FITC doesn't
  • 34:34get into the it doesn't
  • 34:36bypass the epithelial barrier.
  • 34:38And so anything you detect
  • 34:39in blood is typically
  • 34:41caused by an increase in
  • 34:42permeability, and we saw an
  • 34:43increase in in brain per
  • 34:45brain permeability and gut permeability.
  • 34:48Can't take the neuroscientist
  • 34:49out of me.
  • 34:50And this again correlated with
  • 34:52some of these behavioral features.
  • 34:56The the the whole idea
  • 34:57of this was that
  • 34:59this was leading to a
  • 34:59more permissive state so that
  • 35:01things in the gut that
  • 35:03shouldn't get into the bloodstream
  • 35:04were now getting in. And
  • 35:05so we performed a shotgun
  • 35:07meta genomic analysis to look
  • 35:09at the different,
  • 35:10types of pathways,
  • 35:11of the microbes in our
  • 35:13gut that were disrupted.
  • 35:14And one of the top
  • 35:15pathways was lipopolysaccharide
  • 35:18biosynthesis.
  • 35:19So, again, this is this
  • 35:20idea that there's an increase
  • 35:22in the bacterial
  • 35:23composition in our guts that's
  • 35:25that shifted towards endotoxemia.
  • 35:29And last but not least,
  • 35:30of course, if you look
  • 35:31at those endotoxins in the
  • 35:32bloodstream, you see,
  • 35:34an elevation of it.
  • 35:38And so last but not
  • 35:39least, with with respect to
  • 35:40this kind of basic characterization
  • 35:41of the physiology of the
  • 35:42gut,
  • 35:44Kenny wanted to establish
  • 35:46that the the myeloid cell
  • 35:48itself was responsible for this.
  • 35:50So he generated a bone
  • 35:51marrow chimeric animal that lacked
  • 35:53TLR four in these bone
  • 35:55marrow derived myeloid cells and,
  • 35:57of course, that partially normalized
  • 35:59social defeat. I think it
  • 36:00would have fully normalized social
  • 36:02defeat, but, you know, over
  • 36:03the years I've been doing
  • 36:04that, this was a pretty
  • 36:04brutal defeat. So I think
  • 36:06that this is why we're
  • 36:07seeing just a partial reversal,
  • 36:08but certainly
  • 36:10suggesting causally that that these,
  • 36:12endotoxins
  • 36:13are possibly activating myeloid cells.
  • 36:15And now what we're doing
  • 36:16is is we're going back
  • 36:17to see if this is
  • 36:18also involved in this process
  • 36:20of trafficking.
  • 36:21I think once they're activated
  • 36:22by LPS,
  • 36:23you're gonna see this this
  • 36:24transcriptional profile
  • 36:26that that that, drives leukocyte
  • 36:28migration, and that's what's bringing
  • 36:29the cells up to the
  • 36:30neurovasculature.
  • 36:31And when the neurovasculature
  • 36:33expresses
  • 36:34the lock for that key
  • 36:35to go into, I e
  • 36:36these junctional proteins, that's where
  • 36:37you see accumulation.
  • 36:38But that's, something that we're
  • 36:40still coming back to. And
  • 36:42in the last few minutes
  • 36:43this was really ambitious, but
  • 36:44I hope I can get
  • 36:45through this.
  • 36:48I'm good? Okay. So how
  • 36:49does how does the brain
  • 36:50do all of this stuff?
  • 36:51Is there is our hypothesis
  • 36:53correct that the brain is
  • 36:54actually sensing this process of
  • 36:56of of being stressed and
  • 36:57sending signals outward through circuits
  • 37:00that ultimately impinge upon,
  • 37:02the colon and and and
  • 37:03impact,
  • 37:04gut dysbiosis.
  • 37:09Oh, boy. This I had
  • 37:10to take from a textbook.
  • 37:12So I was never good
  • 37:13at anatomy, but, basically,
  • 37:16the the pathways for these
  • 37:17things have been really well
  • 37:19worked out.
  • 37:20For the intestines, for example,
  • 37:22I don't know if you
  • 37:23can see that very well.
  • 37:24I should get a bigger
  • 37:25version of this.
  • 37:27But they are innervated
  • 37:29by cells that emanate from
  • 37:31the celiac ganglion.
  • 37:34That then goes through,
  • 37:36the spinal cord up to
  • 37:37the brain stem
  • 37:39and beyond. And that's the
  • 37:41pathway that we think
  • 37:42could be controlling this process.
  • 37:45So we, of course, had
  • 37:47to validate
  • 37:48it with modern methods because
  • 37:50the textbook was not right.
  • 37:52We put a a psorohrabies
  • 37:53virus into the into the
  • 37:55colon,
  • 37:56and then did a time
  • 37:57sack. Every twenty four hours,
  • 37:59they jump about a synapse
  • 38:01or so, so you kinda
  • 38:03loosely label a monosynaptic
  • 38:04synapse every twenty four to
  • 38:06forty eight hours.
  • 38:07So So we started seeing
  • 38:08brainstem expression from colon injections
  • 38:11at about ninety six hours.
  • 38:13So about three synapses away,
  • 38:15which makes sense. You can
  • 38:16see it really nicely at
  • 38:17a hundred and twenty hours.
  • 38:18And here's the overall way
  • 38:20in which the circuit is
  • 38:21laid out exactly like the
  • 38:23textbook, so we confirmed it,
  • 38:24thankfully.
  • 38:26But it it goes the
  • 38:27one, I think, interesting than
  • 38:28the thing that we did
  • 38:29learn is the the the
  • 38:30spinal cord,
  • 38:33domain that it goes through.
  • 38:34It goes through the thoracic,
  • 38:36not the cervical level. So
  • 38:37but, again, it it's a
  • 38:39it's a well defined circuit,
  • 38:40and,
  • 38:41it's it's, certainly still there
  • 38:43in the mouse.
  • 38:46So after stress, we wanted
  • 38:47to look at each node
  • 38:48to see whether or not
  • 38:49there was evidence of differences
  • 38:51of activation within this kind
  • 38:52of multisynaptic
  • 38:53circuit.
  • 38:54So we first looked at
  • 38:55the celiac gaglion, and you
  • 38:57can see, I think I
  • 38:58don't know. Was that two?
  • 38:59You can see,
  • 39:00we use CFOS as a
  • 39:01as a marker of activity,
  • 39:02and you can see that
  • 39:03there's an increase in activity
  • 39:05and,
  • 39:06marked by increases in CFOS
  • 39:07in the celiac ganglion.
  • 39:10We found also the same
  • 39:11type of increase
  • 39:12in,
  • 39:13the colon itself.
  • 39:16Except for this, we actually
  • 39:17counter stained with DBH
  • 39:19to show that it's actually
  • 39:20is these enteric neurons. These
  • 39:22are dopamine beta hydroxylase containing
  • 39:24TH cells,
  • 39:26which are which are,
  • 39:28sympathetic in nature, for example.
  • 39:31And then we wanted to
  • 39:32say, okay. What what's the
  • 39:33next level? So how is
  • 39:34it then that the brain
  • 39:35is connected up? We know
  • 39:36that the brain stem is
  • 39:38somewhere in there, but what
  • 39:39are the higher order
  • 39:40brain regions that might be
  • 39:42activated by stress that are
  • 39:43also innervating gut tissue? And
  • 39:45so for this, we used
  • 39:46a kind of a multifactorial
  • 39:48approach. We injected Pseudorhabes into
  • 39:50the colon,
  • 39:52mapped out the brain wide
  • 39:54expression of PRV by using
  • 39:56a whole brain clearing method
  • 39:58and then staining for and
  • 39:59visualizing PRV expression.
  • 40:01And we overlaid this onto
  • 40:03another whole brain,
  • 40:05clearing,
  • 40:07stain with, with CFOS so
  • 40:09we could get kind of,
  • 40:10like, an activity,
  • 40:11map of these.
  • 40:13And we found a lot
  • 40:14of regions that were enriched.
  • 40:15So this means regions that
  • 40:16were activated by social defeat
  • 40:19that also showed strong innervation,
  • 40:22by PRV.
  • 40:24And, of course, the PVH
  • 40:25was one of the top
  • 40:26regions. This is the paraventricular
  • 40:28hypothalamus.
  • 40:29The PVH is really interesting.
  • 40:31It contains
  • 40:33a lot of
  • 40:34of stress responsive nerve cells,
  • 40:36for example. It it contains
  • 40:38a really,
  • 40:39significant population of corticotropin releasing
  • 40:41hormone expressing cells. It's definitely
  • 40:43involved in stress. It regulates
  • 40:44stress at a behavioral level.
  • 40:48We used, again, this kind
  • 40:50of intersectional approach to get
  • 40:51a sense of what the
  • 40:53the the innervation patterns look
  • 40:55like. And the predominant cell
  • 40:57type that is innervating the
  • 40:58gut from the PVH does
  • 40:59seem to be CRH positive,
  • 41:01Makes up about fifty two
  • 41:02point nine percent. It's not
  • 41:03all of them, but it
  • 41:04certainly is a significant proportion
  • 41:06of them.
  • 41:07So the first study that
  • 41:08we did was to was
  • 41:09really simple and nonspecific. We
  • 41:11put an inhibitory dread into
  • 41:13the CRH presales,
  • 41:15or into the c r
  • 41:16the PVH of a CRH
  • 41:18cream mouse,
  • 41:20waited for expression, put them
  • 41:21through ten days of defeat,
  • 41:22and then gave them CNO
  • 41:23every day just before the
  • 41:25defeat. So we silenced that
  • 41:26circuit, and then we measured
  • 41:27gut physiology.
  • 41:29We were able to prevent
  • 41:30that change in gut permeability,
  • 41:32and we were able to,
  • 41:33again, partially,
  • 41:35reverse the social avoidance deficits.
  • 41:38Now this is a very
  • 41:39gross,
  • 41:41manipulation, and I'm I'm hoping
  • 41:43that all of you guys
  • 41:44are are are thinking that
  • 41:45I'm full of crap right
  • 41:46now, that really all I'm
  • 41:48doing is activating the HPA
  • 41:49axis. Right? It sounds like
  • 41:51it's Really, like, just so
  • 41:52I I just showed all
  • 41:54of you that the HPA
  • 41:55axis is now involved in
  • 41:56stress responses. It's it's profound.
  • 41:59So
  • 42:00we did a few studies
  • 42:01to kinda rule this out.
  • 42:03The first one, I think,
  • 42:04is straightforward. We got rid
  • 42:06of the the the HPA
  • 42:07response with metirophone.
  • 42:09You can use adrenalectomy
  • 42:10as well, but, this did
  • 42:12not affect any of these
  • 42:13parameters. So,
  • 42:15even in the in the
  • 42:16absence of corticosterone,
  • 42:17for example,
  • 42:19CNO is still capable of
  • 42:20doing all of these things.
  • 42:21So that's one thing. It
  • 42:22doesn't seem to be HPA
  • 42:23driven, but we weren't really
  • 42:25convinced. And so, we partnered
  • 42:26up with a with one
  • 42:27of your former colleagues, Ivan
  • 42:28de Arrajo,
  • 42:30and did local denervation
  • 42:31of the gut. Right? So
  • 42:33this bypasses
  • 42:34all of those endocrine mechanisms
  • 42:35that I just mentioned. We
  • 42:37used, an antibody against DBH,
  • 42:39and we we conjugated it
  • 42:41to a toxin called saponin.
  • 42:43So whenever this antibody
  • 42:44binds to DBH positive cells,
  • 42:46it kills them off, and
  • 42:48we get a local denervation
  • 42:50of sympathetic inputs to the
  • 42:52gut. And you can see
  • 42:53that right there. And under
  • 42:54these circumstances, we were still
  • 42:55able to prevent gut permeability
  • 42:57changes
  • 42:58and normalize
  • 42:59social avoidance behavior. So we
  • 43:01do think it's local. We
  • 43:02think it's neural driven. It's
  • 43:03not, through the the HPA.
  • 43:06Not that the HPA is
  • 43:07not important for stress responses,
  • 43:08but it might not be
  • 43:09important for this particular
  • 43:11stress response.
  • 43:14I did it. Alright. This
  • 43:16is my final slide.
  • 43:17So I hope that I
  • 43:19have convinced you that we
  • 43:20should be thinking about brain
  • 43:22diseases in a more holistic
  • 43:24way.
  • 43:25Brain diseases are complicated,
  • 43:28and now we've thrown another
  • 43:29layer of complication into an
  • 43:31already complicated system. But I
  • 43:33think it's really critical that
  • 43:34we investigate
  • 43:36the way in which these
  • 43:37brain and body circuits
  • 43:38and and processes interact in
  • 43:40health and disease. I think
  • 43:42we're always gonna be up
  • 43:43against the glass ceiling in
  • 43:45in treatment if we don't
  • 43:47get at these comorbidities
  • 43:49and address them. You know,
  • 43:51I have I will I
  • 43:53was telling Azi, I have
  • 43:54a bit of experience in
  • 43:55in psychological,
  • 43:57as a clinical psychology intern.
  • 43:58And every patient that I
  • 43:59saw during that time
  • 44:01had something else other than
  • 44:03depression, for example. And I
  • 44:04think that most of these
  • 44:05clinical cases are incredibly complex,
  • 44:08and we need to start
  • 44:09to think more broadly across
  • 44:10the possibilities of of these
  • 44:12brain body connections.
  • 44:14So with that, I'm gonna
  • 44:15thank the people in my
  • 44:16lab that did it. Of
  • 44:17course, Foran and Kenny.
  • 44:19I featured a lot of
  • 44:20their work prominently. Carrie Lynn,
  • 44:22played a major role in
  • 44:23this. Georgia Hodes was my
  • 44:25first postdoc.
  • 44:26Started the whole thing. Without
  • 44:28her, I wouldn't be here.
  • 44:29Carolyn and Maddie, it's the
  • 44:31same. You know? They've just
  • 44:32all gone on to do
  • 44:33amazing work. Our collaborators I'd
  • 44:34like to give a, a
  • 44:35big thanks
  • 44:37to Yvonne,
  • 44:37Wenfei,
  • 44:38Sarah, and Hongzhen who've really
  • 44:40allowed us to be able
  • 44:41to dissect out these peripheral
  • 44:44systems for which I have,
  • 44:46you know, no knowledge base
  • 44:48to pull from. So you
  • 44:49gotta find yourself good collaborators
  • 44:50if you wanna if you
  • 44:51wanna kinda think outside of
  • 44:52your comfort zone. Of course,
  • 44:54I'd like to thank my
  • 44:55funding sources and all of
  • 44:57you guys for actually coming
  • 44:58in person and listening to
  • 44:59me talk. So thank you
  • 45:00very much.