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Unified Theory of TIs. GPRPL Consortium 5Dec25

December 12, 2025

A presentation given by Harvey J. Kliman, MD, PhD on December 5, 2025 to the Genomic Predictors of Pregnancy Loss (GPRPL; https://ysph.yale.edu/c2s2/gprpl/ ) monthly consortium meeting.

ID
13706
Harvey J. Kliman, MD, PhD

Transcript

  • 00:00Alright. Well, thank you so
  • 00:01much. Let me just a
  • 00:02brief introduction to myself. I'm
  • 00:04a research scientist here at
  • 00:05Yale University, Department of OB
  • 00:07GYN.
  • 00:08I've been here at Yale
  • 00:09for thirty four years proudly,
  • 00:11and I'm proud to be
  • 00:12part of the GPRPL
  • 00:14study.
  • 00:15I have always been very
  • 00:17enthusiastic about this study and,
  • 00:18from the very beginning, wanted
  • 00:19to be involved because this
  • 00:21is what I deal with
  • 00:22clinically.
  • 00:23And I thought I would
  • 00:24share,
  • 00:25the work that we've been
  • 00:27doing related to pregnancy loss,
  • 00:29looking at the placenta,
  • 00:30and how all these things
  • 00:32in my mind,
  • 00:33come together in a unifying
  • 00:35hypothesis related to trophoblast inclusions,
  • 00:38which I will introduce to
  • 00:39you. I always like to
  • 00:41start I'm, again, a physician
  • 00:43scientist, so I take care
  • 00:44of patients, do research.
  • 00:46I always like to start
  • 00:47off with my patients because
  • 00:48I think it gives a
  • 00:49context of what we're dealing
  • 00:50with. So this is NH,
  • 00:52at the time that I
  • 00:53met her, a thirty year
  • 00:54old G3P1,
  • 00:55one stillbirth and two miscarriages,
  • 00:57no living children. Her first
  • 00:59loss here in twenty seventeen
  • 01:01was thirty two weeks and
  • 01:02two days
  • 01:04of stillbirth. What was notable
  • 01:05is the placenta was at
  • 01:07the point
  • 01:08one percentile,
  • 01:09very small.
  • 01:11This is from an outside
  • 01:12institution.
  • 01:13It was sent to me
  • 01:14as a consult. The outside
  • 01:15institution, the pathology basically just
  • 01:17said normal placenta, normal karyotype,
  • 01:20and she was told, these
  • 01:21things happen. Just try again.
  • 01:24So they did try again.
  • 01:25Infertility is not their issue.
  • 01:27They got pregnant again fairly
  • 01:28easily.
  • 01:29They had a sixteen week
  • 01:30loss, now a miscarriage.
  • 01:32At this point, the classic
  • 01:34diagnosis by pathologists of products
  • 01:36of conception, which has no
  • 01:38information at all to it,
  • 01:39we knew it was products
  • 01:40of conception, so it's not
  • 01:42helpful to have that as
  • 01:43the diagnosis, but this is
  • 01:44what they were told. And
  • 01:45again, these things happen, try
  • 01:47again.
  • 01:48So they did, they got
  • 01:49pregnant yet again and had
  • 01:51at this point a twelve
  • 01:52week miscarriage.
  • 01:53Again, products of conception were
  • 01:55diagnosed and they were simply
  • 01:56told to try again. Well,
  • 01:58as you can imagine, this
  • 01:59was very frustrating, so they
  • 02:01did find another resource and
  • 02:02luckily found out about me,
  • 02:04sent me their entire case
  • 02:06for review, and I looked
  • 02:07at all these placentas and
  • 02:09found that there were no
  • 02:10clots, no immune responses, no
  • 02:12bacterial responses.
  • 02:14So what is going on?
  • 02:16Why have the has this
  • 02:18couple had these three losses?
  • 02:19So we'll get back to
  • 02:20them in a minute, but
  • 02:21let me pull back and
  • 02:22just give an overview in
  • 02:23terms of pregnancy losses.
  • 02:25There are five million pregnancies
  • 02:27a year in our country.
  • 02:29There are four million liveborns
  • 02:31approximately.
  • 02:32That means that there are
  • 02:33a million pregnancy losses. So
  • 02:34that is a very large
  • 02:35number.
  • 02:37The majority of these are
  • 02:38miscarriages, and we define these
  • 02:40in our country as variable
  • 02:42from country to country
  • 02:43as a loss less than
  • 02:45twenty weeks of gestation.
  • 02:46And I'll point out in
  • 02:47a few minutes that this
  • 02:48is an arbitrary division. I
  • 02:50don't think it's exactly the
  • 02:51right place
  • 02:52that we should have this
  • 02:53division,
  • 02:54but this is the way
  • 02:55it is for us now.
  • 02:56And we define losses a
  • 02:58greater equal or greater than
  • 03:00twenty weeks as a stillbirth,
  • 03:01and there are about twenty
  • 03:02three thousand in our country.
  • 03:05One of the frustrating things
  • 03:06about pregnancy losses is that
  • 03:07for
  • 03:08decades, the unexplained rate, in
  • 03:10other words, the rate at
  • 03:11which losses could not be
  • 03:13explained and no cause could
  • 03:15be attributed to them, has
  • 03:16remained about constant, about thirty
  • 03:18percent for years. So So
  • 03:20we haven't really put a
  • 03:21dent in this.
  • 03:22And the question is, why
  • 03:23is that? Why can't we
  • 03:24figure out what's going on
  • 03:25with these pregnancy losses?
  • 03:27And I think the reason
  • 03:29is
  • 03:29simple.
  • 03:30One is routine pathologic examination
  • 03:33of the losses often doesn't
  • 03:35reveal a pathologic problem, as
  • 03:37these three cases
  • 03:38show you, and current standard
  • 03:41genetic analyses are not sufficient
  • 03:43to find out a genetic
  • 03:44reason.
  • 03:45Now, of course, a routine
  • 03:47thing is to get a
  • 03:48karyotype and a microarray, for
  • 03:50example,
  • 03:51and many of my patients
  • 03:52are very confused when they
  • 03:53have a result that returns
  • 03:55back as a normal karyotype
  • 03:56or microarray,
  • 03:58they feel that their
  • 03:59pregnancy loss was not due
  • 04:01to a genetic abnormality. But
  • 04:03as we know, that is
  • 04:04not true. Even if a
  • 04:06karyotype and microarray are normal,
  • 04:08there still obviously can be
  • 04:09a genetic abnormality.
  • 04:11And the reason is, is
  • 04:12there are six billion DNA
  • 04:14codes
  • 04:15in our genome.
  • 04:17And our goal for GPRPL
  • 04:19is to try to solve
  • 04:20this problem. So this is
  • 04:21the underlying goal for our
  • 04:23project and what brings us
  • 04:24all together.
  • 04:25In the meantime, while we're
  • 04:27trying to figure that out,
  • 04:28I have been asking myself
  • 04:30for the last three decades,
  • 04:31Is there another way to
  • 04:32diagnose a genetic abnormality
  • 04:35in a pregnancy?
  • 04:36And obviously, one doesn't ask
  • 04:38a question unless you have
  • 04:39an answer for it. And
  • 04:40I do believe there is
  • 04:41a way to answer that.
  • 04:44And the way to do
  • 04:45it is by looking at
  • 04:45the placenta and identify
  • 04:48dysmorphic features in the placenta.
  • 04:50Well, in order to teach
  • 04:51you about dysmorphic features in
  • 04:53the placenta, I just want
  • 04:54to remind people about the
  • 04:56normal structure of the placenta.
  • 04:57Maybe it's familiar to many
  • 04:59of you, but for those
  • 05:00that aren't, I'm just going
  • 05:01to give a very brief,
  • 05:02embryologic overview here of ovulation,
  • 05:05fertilization,
  • 05:06early embryological
  • 05:07development,
  • 05:08and attachment of this blastocyst
  • 05:10to the lining of the
  • 05:12uterus, the endometrium.
  • 05:14About nine days after fertilization,
  • 05:16this is what a pregnancy
  • 05:17looks like, the little embryo
  • 05:19has now turned into a
  • 05:20little three layer embryo,
  • 05:22and the single layer of
  • 05:23trophoblasts, which will become the
  • 05:25placenta,
  • 05:26have now differentiated into two
  • 05:28different types of trophoblasts,
  • 05:30the cytotrophoblasts,
  • 05:31which is the stem cell,
  • 05:32the inner layer, and the
  • 05:34outer layer, the syncytiotrophoblasts,
  • 05:37a multinucleoid
  • 05:38cell that, for example, at
  • 05:39this point in pregnancy is
  • 05:41making large quantities of hCG.
  • 05:44So this is what things
  • 05:45look like at that point.
  • 05:47If we jump ahead to
  • 05:48the third trimester, for example,
  • 05:51this is the overall structure
  • 05:52of the placenta. The fetus
  • 05:53would be up here, connected
  • 05:55to its placenta through its
  • 05:56umbilical cord. You can think
  • 05:58of the placenta as the
  • 06:00root system of a tree.
  • 06:01So if you can see
  • 06:02my hand, imagine my hand
  • 06:04in a bucket of water
  • 06:05with my fingers wiggling around,
  • 06:07That's what the villus tree
  • 06:08looks like. The water in
  • 06:09this analogy is mom's blood,
  • 06:11which is fountaining like a
  • 06:13sprinkler system into the placenta.
  • 06:15Let's dive down and look
  • 06:17at a little more detail
  • 06:18the structure of the villus
  • 06:20trophoblasts here. So if we
  • 06:22pull out one of these
  • 06:23single villi, the fingers that
  • 06:25I just showed you, and
  • 06:26you cut a knife through
  • 06:27it, you start to see
  • 06:29the cellular structure of the
  • 06:30villus and you see the
  • 06:32same exact cells that I
  • 06:33showed you before.
  • 06:35The inner layer, the cytotrophoblast,
  • 06:37is the stem cell, the
  • 06:38proliferative cell, and the outer
  • 06:40layer, the syncytiotrophoblast.
  • 06:42You can consider this the
  • 06:44working cell of the placenta,
  • 06:46makes all the hormones, mediates
  • 06:47transports, and things like that.
  • 06:50This is a diagram. This
  • 06:52is what a third trimester
  • 06:53cross section of chorionic villi
  • 06:55would look like. The white
  • 06:57space is where mom's blood
  • 06:58would be, the skin covering,
  • 07:00if you will, of the
  • 07:01fingers of the trophoblast layer,
  • 07:03and you can see the
  • 07:04fetal capillaries with the fetal
  • 07:06red blood cells inside.
  • 07:08Now, anybody who has done
  • 07:10pediatrics or has had a
  • 07:11baby or knows anything about
  • 07:13what happens in labor and
  • 07:14delivery room after delivery,
  • 07:16you know that the first
  • 07:18thing that we do when
  • 07:19we look at a newborn
  • 07:20baby is try to identify
  • 07:22dysmorphic
  • 07:23features.
  • 07:24Why do we do that?
  • 07:25Because this is the easiest
  • 07:26way, just with a visual
  • 07:28inspection,
  • 07:29to give a hint that
  • 07:30there might be a genetic
  • 07:31abnormality.
  • 07:32In this diagram, you can
  • 07:34see trisomy twenty one at
  • 07:35the top, trisomy eighteen in
  • 07:37the middle, and trisomy thirteen
  • 07:38at the bottom. These are
  • 07:40pretty obvious and just from
  • 07:42the dysmorphic features of these
  • 07:43newborns, you can make these
  • 07:45diagnoses.
  • 07:46However,
  • 07:47on the left are much
  • 07:49more subtle developmental problems, dysmorphic
  • 07:51features, in this case of
  • 07:53hand development.
  • 07:54And in these cases, these
  • 07:55children have normal karyotypes,
  • 07:57but they have genetic abnormalities.
  • 07:59In fact, the genetic abnormalities
  • 08:02to lead to polydactyly
  • 08:03in these abnormal hand developments
  • 08:05are quite interesting.
  • 08:06They relate to the three-dimensional
  • 08:08structure of the DNA
  • 08:10of the ninety nine percent
  • 08:11of the six billion codes
  • 08:13that don't code for any
  • 08:14genes that we know of.
  • 08:16So this is just a
  • 08:16little hint of the complexity
  • 08:18of the genome.
  • 08:20Now, just as newborn babies
  • 08:22can be looked at for
  • 08:23dysmorphic features, the placenta can
  • 08:25also be looked at for
  • 08:27dysmorphic features. And the placenta,
  • 08:29as I pointed out, is
  • 08:30like the root system, again,
  • 08:31my hand in the bucket
  • 08:32of water. Here's a diagram
  • 08:34of the branching structure of
  • 08:36the placenta, and most of
  • 08:38the placenta basically forms by
  • 08:40branching outward to create its
  • 08:42structure.
  • 08:43The dysmorphic feature we see
  • 08:45in the placenta
  • 08:47is an abnormal
  • 08:48infolding.
  • 08:49We call it an invagination.
  • 08:52This is a diagram to
  • 08:53the right. This is the
  • 08:54real picture to the left.
  • 08:55Let me focus on the
  • 08:56diagram.
  • 08:57It looks like someone has
  • 08:58taken their finger and pushed
  • 09:00inward to bend the bilayer
  • 09:02inward. That's not what is
  • 09:03happening. What is actually happening
  • 09:05is there are too many
  • 09:08cytotrophoblasts,
  • 09:09these pink cells.
  • 09:10Too much cell proliferation.
  • 09:13Just continue to remember that
  • 09:15as we go through this
  • 09:16presentation here. On the left,
  • 09:18you can see the piling
  • 09:20up of all these cytotrophoblasts
  • 09:21in this focal area, and
  • 09:23that bends the bilayer inward.
  • 09:26If the knife happens to
  • 09:28randomly cut across one of
  • 09:29these invaginations,
  • 09:31like this SS cut here,
  • 09:33it creates
  • 09:34what we call a trophoblast
  • 09:36inclusion.
  • 09:37Truphoblast
  • 09:38invaginations
  • 09:39and inclusions are the dysmorphic
  • 09:41features of the placenta.
  • 09:43So,
  • 09:44and again, just to highlight
  • 09:46this, and I'll show you
  • 09:46a three-dimensional reconstruction of this
  • 09:48in a minute, this is
  • 09:49actually the same structure,
  • 09:52just happens to be moving
  • 09:53in and out of the
  • 09:54plane of the section. So
  • 09:54this invagination is continuous
  • 09:56with this cross section of
  • 09:57this trophoblast inclusion. That's And
  • 10:00you are sure. Go for
  • 10:02the questions. So you get
  • 10:03this
  • 10:04excessive proliferation of cells. Why
  • 10:05wouldn't they bulge outwards? Why
  • 10:07does it always invaginate?
  • 10:08Oh, what a good question.
  • 10:10Well, it has to do
  • 10:11with mechanical engineering and physics.
  • 10:14So it depends on which
  • 10:16side has more cells. I'm
  • 10:17gonna give you an analogy.
  • 10:19If you remember the hundred
  • 10:20meter dash in the Olympics
  • 10:21last summer, you know how
  • 10:23they stagger all the runners
  • 10:24in different places on the
  • 10:25track. You can think of
  • 10:27the cytotrophoblast
  • 10:28lane here as a longer
  • 10:31lane,
  • 10:32and this is the outer
  • 10:33lane of the tract, and
  • 10:34this is the inner lane.
  • 10:35So if there is more
  • 10:37material on this side, it
  • 10:38has to bend in this
  • 10:39direction. If there was more
  • 10:41material on the blue side,
  • 10:43it would bend outward. And
  • 10:44I will show you an
  • 10:45example of that. So it
  • 10:46just depends on the, basically,
  • 10:49the kinetics
  • 10:50of which layer has more
  • 10:51cells in it. Either the
  • 10:53inner layer or the outer
  • 10:54layer determines which way things
  • 10:56bend.
  • 10:57Great, insightful question. Thank you.
  • 10:59Now, I will just highlight
  • 11:01some more pictures of invaginations
  • 11:03from other placentas.
  • 11:05And this last one on
  • 11:06the lower right, if anybody
  • 11:07knows dermatology,
  • 11:08you might remember something called
  • 11:10an epidermal inclusion cyst. Sometimes
  • 11:12it appears as a little
  • 11:13bump on someone's face. That's
  • 11:15from an invagination
  • 11:17of the squamous
  • 11:18lining of the skin, and
  • 11:20then the skin continues to
  • 11:21grow but inside of the
  • 11:23dermis, basically. And this is
  • 11:25like an epidermal inclusion cyst.
  • 11:27Again, if the knife happens
  • 11:29to cut across any of
  • 11:30these invaginations,
  • 11:32it appears as trophoblast
  • 11:34inclusions.
  • 11:35Well, one of the questions
  • 11:36that I'm always asked is,
  • 11:37Well, gee, are you the
  • 11:38only one who sees this?
  • 11:40Are you the first one
  • 11:41to have seen this? Have
  • 11:42other people seen this before?
  • 11:44Are you living in a
  • 11:45fantasy world? What's going on
  • 11:46with you, Harvey? So I
  • 11:47just wanna highlight a little
  • 11:49history here that these were
  • 11:51first seen in the eighteen
  • 11:53hundreds.
  • 11:54For those of you who
  • 11:55read German, I'm gonna translate
  • 11:56this. This is a Google
  • 11:58translate here. Syncytial Geschwasellen
  • 12:01are syncytial tumor cells. And
  • 12:04here's an actual photo micrograph
  • 12:06from eighteen ninety seven of
  • 12:08a microscopic view of a
  • 12:09placenta of a pregnancy loss
  • 12:11in this journal.
  • 12:13And the article, the title
  • 12:15of the article is Malignant
  • 12:16Deciduomas.
  • 12:17You can kind of get
  • 12:18that. They didn't know exactly
  • 12:20what was going on. And
  • 12:21this was in the journal
  • 12:23of
  • 12:24Gebir Stalin, which I think
  • 12:25is gynecology,
  • 12:27maybe pregnancy, and gynecology.
  • 12:29You can see that gynecology
  • 12:30still exists as a word
  • 12:32here in this journal. So
  • 12:33this is really the first
  • 12:34publication I was able to
  • 12:35find of it. There was
  • 12:37a fantastic
  • 12:38volume in nineteen twenty one
  • 12:40that looked at twelve hundred
  • 12:42cases as part of the
  • 12:43Carnegie collection.
  • 12:45Look at these pictures. These
  • 12:46are exactly the same as
  • 12:47the tropholastic inclusions I just
  • 12:49showed you back in nineteen
  • 12:51twenty one. And what I
  • 12:52like especially about this
  • 12:55reference is that they describe
  • 12:57the exact characteristics of tropholass
  • 12:59inclusions here. They say there
  • 13:01are numerous points of the
  • 13:03syncytium that invade.
  • 13:05They are lined by two
  • 13:06layers of cells, just like
  • 13:07I showed you, which are
  • 13:09often filled with dense masses
  • 13:10of small round cells. So,
  • 13:12that is the definition
  • 13:14of a trophoblast inclusion.
  • 13:16Now, the word trophoblast inclusion
  • 13:18was actually coined in this
  • 13:19paper in nineteen sixty four
  • 13:21by Boyd and Hamilton.
  • 13:23The title of their paper
  • 13:24was Stromal trophoblastic
  • 13:26buds. And we do not
  • 13:27write this way anymore, but
  • 13:28I love that they describe
  • 13:30the creation of these in
  • 13:32this paper, and then they
  • 13:33have a little asterisk under
  • 13:35their title, stromal trophoblastic
  • 13:37buds, and they say, The
  • 13:38question of a suitable term
  • 13:40for the trophoblastic
  • 13:42inclusions
  • 13:43has given us some concern.
  • 13:45So their parenthetic comment here,
  • 13:47in fact, has become the
  • 13:48name of these things and
  • 13:49it started in nineteen sixty
  • 13:51four. As I pointed out
  • 13:53before, they did something cool
  • 13:54in this paper. They did
  • 13:56three d reconstruction.
  • 13:57They did serous sections of
  • 13:59multiple sections of these placentas
  • 14:01with the trophoblast inclusions.
  • 14:03And in the top left,
  • 14:04you can see the three
  • 14:05d reconstruction,
  • 14:07and it points out again
  • 14:09that these inclusions are nothing
  • 14:11more than invaginations
  • 14:12from the surface with sort
  • 14:13of bulbous ends to them.
  • 14:15And if you cut through
  • 14:16the bulb, it appears as
  • 14:18a trophoblast inclusion.
  • 14:20Okay. So that's the history
  • 14:22of it. What causes it?
  • 14:23And this will this will
  • 14:25actually answer a little bit
  • 14:26Hugh Taylor's insightful question there.
  • 14:29It wasn't a plant. I
  • 14:30did not ask him to
  • 14:31ask that question, just FYI.
  • 14:34So what causes these trophoblast
  • 14:35inclusions? Well, to understand what
  • 14:37causes them, you have to
  • 14:39go back to the basic
  • 14:40structure of the placenta.
  • 14:42And I have mentioned a
  • 14:43couple times, and I'm going
  • 14:44to highlight this, that the
  • 14:45placenta,
  • 14:46the villi are lined by
  • 14:48two layers of cells, the
  • 14:49cytotrophoblast,
  • 14:50the stem cell, and the
  • 14:52syncytiotrophoblast.
  • 14:53And I was lucky enough
  • 14:54when I did my postdoctoral
  • 14:56research fellowship at University of
  • 14:57Pennsylvania with Jerry Straus, just
  • 14:59by serendipity,
  • 15:01I assure you it was
  • 15:02by accident,
  • 15:03I discovered the relationship of
  • 15:05the cytotrophoblasts
  • 15:06and the syncytial trophoblasts by
  • 15:07looking at these cells in
  • 15:09culture, and what I saw
  • 15:10on time lapse movies is
  • 15:12that these single cytotrophoblasts
  • 15:14in culture over a period
  • 15:15of four days
  • 15:16moved, aggregated,
  • 15:18the membranes broke down, and
  • 15:20they formed syncytia.
  • 15:21Up to that point, people
  • 15:23thought that syncytial trophoblasts were
  • 15:25formed by a process called
  • 15:26endoreduplication,
  • 15:28which means that the nuclei
  • 15:30divide and divide, but we
  • 15:31showed in this paper that
  • 15:33they actually form by fusion
  • 15:35of the cytotrophoblasts.
  • 15:36Taking that insight into the
  • 15:38placenta itself, we can now
  • 15:40look at the bilayer and
  • 15:41answer Hugh Taylor's question in
  • 15:43more scientific detail.
  • 15:45These cytotrophoblasts
  • 15:46have two choices in life.
  • 15:47They either proliferate
  • 15:49or if they differentiate,
  • 15:51they fuse with the overlying
  • 15:52layer. And there's kinetic constants
  • 15:55for proliferation and fusion.
  • 15:57And depending, again, as I
  • 15:59said before, but now highlighted
  • 16:00in this publication,
  • 16:02if the proliferation
  • 16:03rate of the cytotrophoblast
  • 16:05is greater than two times
  • 16:07the fusion rate, it bends
  • 16:09inward. That forms the invagination.
  • 16:12If the fusion rate is
  • 16:13greater than the
  • 16:15proliferation rate, it branches outward.
  • 16:19That's called branching morphogenesis.
  • 16:21And this is how the
  • 16:22placenta normally forms.
  • 16:24If the rate is exactly
  • 16:25equal where proliferation equals two
  • 16:28times the fusion rate, there's
  • 16:29just a lengthening
  • 16:30of the bilayer. So these
  • 16:32are the three kinetic constants
  • 16:34that explain the whole growth
  • 16:36of the placenta.
  • 16:37So up until this point,
  • 16:40what I basically had seen
  • 16:42clinically through my clinical experience
  • 16:44is that trophoblast inclusions
  • 16:46are associated with pregnancy losses
  • 16:48and, as I'll show you
  • 16:49in a few minutes, very
  • 16:51small placentas.
  • 16:52So
  • 16:53here is a paper that
  • 16:54we recently published in Reproductive
  • 16:56Sciences in twenty twenty three
  • 16:58where we looked at the
  • 17:00causes of pregnancy losses between
  • 17:02six weeks and forty three
  • 17:04weeks. I've created what's called
  • 17:06a density plot here of
  • 17:08the different
  • 17:09pathologies that were identified in
  • 17:10these losses. There were almost
  • 17:12thirteen hundred of them. And
  • 17:14you can see that the
  • 17:15dominant
  • 17:16cause of pregnancy loss in
  • 17:18the first and certainly second
  • 17:20trimester
  • 17:21are dysmorphic or associated with
  • 17:22dysmorphic chorionic villi, which we've
  • 17:25interpreted are due to genetic
  • 17:27abnormalities. Of course,
  • 17:29the reason I'm so excited
  • 17:30about the gPRPL study is
  • 17:32I would like to validate
  • 17:33this. This is currently a
  • 17:35hypothesis
  • 17:36based on the visualization of
  • 17:38trophoblast inclusions. So this is
  • 17:39the entire
  • 17:41population.
  • 17:42I can show you the
  • 17:43same data in a pie
  • 17:44chart, and you can see
  • 17:45that about seventy one percent
  • 17:47of all pregnancy losses have
  • 17:49trophoblast inclusions,
  • 17:50and then there are some
  • 17:51other causes which are here
  • 17:53in these other pieces of
  • 17:54the pie.
  • 17:55If we focus just on
  • 17:56miscarriages,
  • 17:57again, defined as pregnancy losses
  • 17:59less than twenty weeks, and
  • 18:01look at the pie chart
  • 18:02for that, eighty six percent
  • 18:04are associated with trophoblast inclusions.
  • 18:08And if we look at
  • 18:10stillbirths now, greater than twenty
  • 18:12weeks, twenty weeks and greater,
  • 18:14here is what the pie
  • 18:15chart looks like here.
  • 18:17Now the causes are slightly
  • 18:18different. Genetics is still quite
  • 18:20a bit at thirty percent,
  • 18:21but small placentas
  • 18:23are thirty three percent and
  • 18:25cord accidents are about fifteen
  • 18:26percent.
  • 18:27But what's interesting is that
  • 18:29if you look at just
  • 18:30the third trimester, and this
  • 18:31is where I think we
  • 18:32should, from now on, have
  • 18:34the division of miscarriages and
  • 18:35stillbirths,
  • 18:36this is a U shaped
  • 18:37curve and this is the
  • 18:38inflection point right at the
  • 18:40end of the second trimester.
  • 18:41I believe that all first
  • 18:43trimester and second trimester losses
  • 18:45really are very similar, and
  • 18:47it's the third trimester that
  • 18:49diverge and are quite different.
  • 18:51But what's interesting when you
  • 18:52look at the pie chart
  • 18:53of that, now you can
  • 18:54see that thirty six percent
  • 18:56of stillbirths are due to
  • 18:57small placentas, only sixteen percent
  • 19:00genetics,
  • 19:01and twenty one percent cord
  • 19:02accidents. However, when you look
  • 19:04at the causes for small
  • 19:05placentas,
  • 19:06the majority of the small
  • 19:08placentas are due to genetic
  • 19:10abnormalities.
  • 19:11Okay, well, this has all
  • 19:12have been just an introduction
  • 19:14to go back to our
  • 19:15patient here, which is setting
  • 19:16up this whole discussion.
  • 19:18So, let's look at NH
  • 19:19again and see what we
  • 19:20found.
  • 19:21I found an average of
  • 19:23one point seven trophoblast inclusions
  • 19:26per slide in her thirty
  • 19:27two week loss. And you
  • 19:29may say, That's not really
  • 19:30that much, but normal is
  • 19:31zero point one. So this
  • 19:33is seventeen times normal, and
  • 19:35this is a classic example
  • 19:37of a small placenta associated
  • 19:39with trophoblast inclusions.
  • 19:41Her sixteen week loss had
  • 19:42three point five per slide
  • 19:44or thirty five times normal,
  • 19:46and her twelve week loss
  • 19:48had ninety times normal the
  • 19:50number of trophoblast inclusions.
  • 19:52So as you can see,
  • 19:53there seems to be a
  • 19:54dose response curve. And if
  • 19:56we plot out on the
  • 19:57y axis the number of
  • 19:59trophoblasts inclusions per slide is
  • 20:01some
  • 20:02metric of how many there
  • 20:04are, you can see that
  • 20:05there is a crude relationship
  • 20:07between the severity of the
  • 20:09genetic problem with tetraploidy, for
  • 20:11example, having the most, then
  • 20:13triploidy less, trisomies less, pregnancy
  • 20:16losses with apparently normal karyotypes,
  • 20:18and finally, stillbirths, and then
  • 20:21at the extreme left,
  • 20:23normal pregnancies.
  • 20:26So if we then plot
  • 20:27the three losses of the
  • 20:29patient NH on this, you
  • 20:30can see it fits this
  • 20:31curve very well. Here's her
  • 20:33twelve week loss that had
  • 20:34the most number of inclusions,
  • 20:35her sixteen week had less,
  • 20:37and her thirty two week
  • 20:39loss had the least.
  • 20:40Basically, the more trophoblast inclusions,
  • 20:43the earlier the pregnancy loss.
  • 20:45So, frankly, for many years,
  • 20:47I'm a practical person. I
  • 20:48simply used the presence of
  • 20:50trophoblast inclusions as a check
  • 20:52engine light
  • 20:53but really didn't do much
  • 20:54else with it. Can I
  • 20:55can I,
  • 20:57comment on one thing? We
  • 20:58just had one case two
  • 21:00weeks ago in NICU,
  • 21:02has a triple priority,
  • 21:04and it's a twenty six
  • 21:05week end of delivery.
  • 21:07So you might look at
  • 21:08that back in that percentage.
  • 21:09If that's possible, it's somewhere.
  • 21:12I'm sure it's somewhere. And
  • 21:13do me a favor, Yong
  • 21:14Wei. I appreciate. Just send
  • 21:16me an email with the
  • 21:17MR number, and I will
  • 21:18definitely look at that. That's
  • 21:20fantastic. Yeah. I appreciate. And
  • 21:21for anybody listening, wherever you
  • 21:23are in the country, if
  • 21:24you have pregnancy losses that
  • 21:26you do not know why
  • 21:27they've occurred or patients with
  • 21:29multiple losses, and especially if
  • 21:31they're stillbirths and can't be
  • 21:32part of GPRPL,
  • 21:33I would be very happy
  • 21:34to look at them. So,
  • 21:36frankly, I was minding my
  • 21:37own business at this point
  • 21:39just looking at pregnancy losses
  • 21:40and being a clinician
  • 21:42and using the presence of
  • 21:43triple s inclusions as this
  • 21:44marker
  • 21:45when, unfortunately,
  • 21:47in nineteen ninety eight, Wakefield
  • 21:48publishes now, in my opinion,
  • 21:50infamous,
  • 21:51unfortunately, recently resurrected
  • 21:54paper here showing that the
  • 21:55MMR vaccine was, in his
  • 21:57opinion, the cause of autism.
  • 21:59And because of that, people
  • 22:01started believing
  • 22:02that their children's
  • 22:04autism was due to the
  • 22:05MMR vaccines that they were
  • 22:07given when these children were
  • 22:08younger. And so not surprisingly
  • 22:10in this country, these people
  • 22:12started suing their doctors, their
  • 22:14pediatricians, and vaccine makers.
  • 22:17You know, as we all
  • 22:18know, the Wakefield paper was
  • 22:19retracted and shown to be
  • 22:21completely fraudulent, but that hasn't
  • 22:23stopped people from still believing
  • 22:25this. Well, at this point,
  • 22:27and one of the things
  • 22:28I do in my life,
  • 22:29because I'm one of the
  • 22:30few people who looks at
  • 22:31placentas,
  • 22:32is that I look at
  • 22:34cases
  • 22:35of legal cases
  • 22:37that either plaintiff's attorneys or
  • 22:38defense attorneys,
  • 22:40have to try to help
  • 22:41them figure out why there
  • 22:42was a pregnancy complication or
  • 22:44loss. And in this case,
  • 22:46I was asked by a
  • 22:46number of defense attorneys
  • 22:48to look at the placentas
  • 22:49from these children and see,
  • 22:51could there be another explanation
  • 22:52for this children's autism?
  • 22:55Well,
  • 22:56I will just quote Louis
  • 22:57Pasteur,
  • 22:58December seventh eighteen fifty four,
  • 23:01In the fields of observation,
  • 23:03chance favors only the prepared
  • 23:05mind. And luckily, because I
  • 23:06have been doing for years
  • 23:08work on pregnancy losses and
  • 23:10looking at trophoblast inclusions,
  • 23:12when I looked at these
  • 23:13placentas of children with autism,
  • 23:15I found trophoblast inclusions, and
  • 23:17I said to myself,
  • 23:19wow, I think this might
  • 23:20be, in fact, genetic and
  • 23:21not due to the MMR
  • 23:23vaccine,
  • 23:24which at the time was
  • 23:25novel because really people did
  • 23:27believe it was due to
  • 23:28the MMR vaccine.
  • 23:29So what do you do
  • 23:30when you're posed with this,
  • 23:32problem? Well, you do research.
  • 23:34So the first thing we
  • 23:35did is a retrospective study,
  • 23:36which we published in two
  • 23:38thousand and seven, and although
  • 23:39it was a small study,
  • 23:41we did show a statistically
  • 23:42significant difference between placentas from
  • 23:44children with proven autism
  • 23:47and those that were controls
  • 23:48in this particular study. Well,
  • 23:50retrospective studies are flawed,
  • 23:53and obviously, I wanted to
  • 23:54do a prospective study, but
  • 23:56it's very challenging
  • 23:58to do a prospective study
  • 24:00of children with autism.
  • 24:02Their incidence is two percent
  • 24:04at most, and it's very
  • 24:05hard to follow these kids
  • 24:07and then get all the
  • 24:08placentas, and not all placentas
  • 24:10are sent to pathology.
  • 24:11So I was really, for
  • 24:12four years, in a complete
  • 24:14stagnation with this project. But
  • 24:16luckily, on the front page
  • 24:17of The New York Times
  • 24:18in November first of twenty
  • 24:19ten,
  • 24:21in the left top corner
  • 24:22was an article that was
  • 24:23titled At the Age of
  • 24:24Pick a Boo in Therapy
  • 24:26to Fight Autism.
  • 24:27And this was a article
  • 24:29about a study
  • 24:31that was looking at placentas
  • 24:32of children with autism.
  • 24:34And I will challenge you
  • 24:35to find another article on
  • 24:37the front page of the
  • 24:38New York Times that has
  • 24:39the word placenta in it.
  • 24:40It is a rare occurrence.
  • 24:42So I was very struck
  • 24:44by this, and I immediately
  • 24:45contacted the people at the
  • 24:47MIND Institute at UC Davis,
  • 24:49and I said, look, I
  • 24:51would love to look at
  • 24:52the placentas that you are
  • 24:54collecting for your reasons.
  • 24:56As an aside, they believe
  • 24:57the cause of autism were
  • 24:59pesticides
  • 25:00in the Sacramento,
  • 25:01you know,
  • 25:02area of California.
  • 25:04I didn't really, you know,
  • 25:05acknowledge that. It didn't matter
  • 25:07to me what they thought
  • 25:08the cause was. I just
  • 25:09wanted to look at the
  • 25:09placentas,
  • 25:10and they begrudgingly eventually did
  • 25:12send me two hundred and
  • 25:14seventeen cases.
  • 25:15And there
  • 25:16were a hundred and seventeen
  • 25:18kids at risk for autism
  • 25:20and high risk families and
  • 25:22a hundred controls.
  • 25:23And without going through the
  • 25:24details of this paper here
  • 25:26because of time,
  • 25:27this just graphically shows you
  • 25:29that there were far more
  • 25:30trophoblast inclusions in the at
  • 25:32risk population on the left
  • 25:34compared to the controls. And
  • 25:35in fact,
  • 25:36no control placenta had more
  • 25:38than an average of point
  • 25:40five trophoblast inclusions per slide.
  • 25:42You might remember the numbers
  • 25:43I showed you before.
  • 25:45And this is the plot
  • 25:46of those cases on the
  • 25:47same graph I showed you
  • 25:48before. Here are the normal
  • 25:50placentas with an average of
  • 25:51point one, and that's where
  • 25:52we get that data from.
  • 25:54And the at risk placentas
  • 25:55from these families had an
  • 25:57average of point five. So
  • 25:58it's not that much more,
  • 26:00but remember, if you have
  • 26:01too many trophoblast inclusions,
  • 26:03you're a pregnancy loss. So
  • 26:05these are children that were
  • 26:06born but had something going
  • 26:08on with them.
  • 26:09Well, my question for myself
  • 26:11was, and again, I'm gonna
  • 26:12go back to Hugh Taylor's
  • 26:14question, why are the tissues
  • 26:15bending one way or the
  • 26:16other?
  • 26:17Why is bending of the
  • 26:19placenta and invaginations
  • 26:21related to autism? So I
  • 26:23started investigating
  • 26:24autism a little bit, what
  • 26:25was known about the brains
  • 26:26of children with autism.
  • 26:28And what's interesting among many
  • 26:29things of children with autism,
  • 26:31people with autism,
  • 26:32their brains are actually folded
  • 26:34more at a microscopic
  • 26:35level. Here is,
  • 26:37Margaret Bowman's work at Harvard
  • 26:39who has shown at a
  • 26:40microscopic level, the brains of
  • 26:42these children are folded more,
  • 26:43and here's an MRI study
  • 26:45on the left showing that
  • 26:47the macroscopic
  • 26:48level of the brains are
  • 26:49also folded more. So my
  • 26:51thought was, well, maybe this
  • 26:52has to do with folding.
  • 26:54Maybe that's really the source
  • 26:55of the problem here. And
  • 26:57then I was very struck
  • 26:58by this article that was
  • 26:59published in twenty thirteen.
  • 27:01This was a pulmonologist
  • 27:02who was seeing children with
  • 27:04autism that had pulmonary problems.
  • 27:06She was doing bronchoscopies
  • 27:08looking at the bronchial tree,
  • 27:10and what she showed
  • 27:11on the left, the normal
  • 27:12bronchial tree looks like this.
  • 27:14The bronchial trees of children
  • 27:16with autism
  • 27:17were more folded, more branched,
  • 27:20different than the normals.
  • 27:22So the question is, is
  • 27:24this, in fact, a global
  • 27:26increase of folding,
  • 27:27and why would there be
  • 27:28any advantage? Why would you
  • 27:30want to have more folding?
  • 27:32And I would like to
  • 27:33propose, this is a hypothesis,
  • 27:35it's hard to prove these
  • 27:36things, that there actually is
  • 27:38a benefit to folding, and
  • 27:39I'd like to share that
  • 27:40with you in a hypothesis
  • 27:42I call the pelvis skull
  • 27:44conflict hypothesis.
  • 27:45I presented this in twenty
  • 27:47fifteen at the Institute Society
  • 27:48for Evolutionary Medicine.
  • 27:50And what I was pointing
  • 27:52out is that our babies'
  • 27:55skull sizes,
  • 27:56head sizes,
  • 27:58are the largest compared to
  • 28:00any other primate compared to
  • 28:02the pelvic outflow. So here
  • 28:03we are in the lower
  • 28:04right corner, Homo sapiens,
  • 28:07and we have maximized
  • 28:09the amount of space
  • 28:11that we can pack brain
  • 28:12into. In other words, we
  • 28:14cannot make the heads of
  • 28:16babies any bigger. The only
  • 28:18way to get increased intelligence
  • 28:20is to actually have more
  • 28:21folding. And as it is
  • 28:22now,
  • 28:23our brains are the most
  • 28:25folded primate brain that exists.
  • 28:27So, again,
  • 28:29why is that? Well, because
  • 28:30I think there's more computing
  • 28:32power when you have more
  • 28:33folded brains, and there's evidence
  • 28:35of that. There are genetic
  • 28:37conditions that lead to complete
  • 28:39severe developmental disabilities
  • 28:42and brain development intelligence, and
  • 28:44they're associated with poorly folded
  • 28:46brains. You can think of
  • 28:47the normal population here.
  • 28:49Autism seems to have increased
  • 28:51folding,
  • 28:52and we know that there
  • 28:54is an association of intelligence
  • 28:56with autism.
  • 28:57I'm not gonna name some
  • 28:58names, but just think of
  • 28:59some carmakers that you know
  • 29:01who are very intelligent
  • 29:02and are on the spectrum,
  • 29:04and maybe people who are
  • 29:05computer people and engineers and
  • 29:07work at MIT and other
  • 29:08things like that. So I
  • 29:09think that the evolutionary pressure
  • 29:11that we're looking at here
  • 29:13is for increased intelligence
  • 29:15that when it's too severe
  • 29:17leads to something that we
  • 29:18call autism.
  • 29:20Now, in evolution, there is
  • 29:22no free lunch. There is
  • 29:24something called antagonistic
  • 29:25pleiotropy,
  • 29:26and I call this collateral
  • 29:28damage, basically. That's my interpretation
  • 29:30of this. If there are
  • 29:32genes that are trying to
  • 29:33make us more intelligent,
  • 29:35there might be some collateral
  • 29:37damage to that and negative
  • 29:38impact.
  • 29:39And one of the things
  • 29:40that I was really struggling
  • 29:42with during the years of
  • 29:43doing this research is how
  • 29:45is it possible
  • 29:46that trophoblast inclusions in the
  • 29:48placenta could
  • 29:50lead to pregnancy loss?
  • 29:52It didn't seem logical to
  • 29:53me. And even when there
  • 29:54are hundred times the number
  • 29:56of trophoblast inclusions that there
  • 29:58should be, and this is
  • 29:59from a paper where I
  • 30:00actually plotted out on a
  • 30:02map form on the right
  • 30:03here where the trophalescent inclusions
  • 30:05are, you can see that
  • 30:06there are very, very few
  • 30:07of them in the whole
  • 30:09spectrum
  • 30:10of the placenta.
  • 30:11So in my opinion,
  • 30:13these inclusions are not affecting
  • 30:15affecting the function of the
  • 30:16placenta whatsoever.
  • 30:17So the question
  • 30:19is, what organ could be
  • 30:20deleteriously
  • 30:21affected by increased folding? And
  • 30:24I'd like to do a
  • 30:25thought experiment with you, kind
  • 30:27of a knockout experiment with
  • 30:29the whole body at this
  • 30:30point. So if you imagine
  • 30:31a fetus and we are
  • 30:33in the uterus, we're not
  • 30:34outside the uterus, but if
  • 30:35you imagine we're in the
  • 30:36uterus, my question is, what
  • 30:38is necessary for life, not
  • 30:41high quality life, just existence?
  • 30:43Well, you can remove the
  • 30:45entire GI tract without any
  • 30:46problem in a fetus. You
  • 30:47don't need it. You have
  • 30:48the placenta.
  • 30:49You can remove the entire
  • 30:51GU system. It's unnecessary.
  • 30:53You can remove the liver,
  • 30:54the spleen, and the pancreas.
  • 30:55They're not necessary.
  • 30:57You can remove the lungs.
  • 30:58Unfortunately, they're very clear clinical,
  • 31:00Potter syndrome as an example,
  • 31:02where the lungs don't ever
  • 31:04develop, and you can exist
  • 31:05in the uterus.
  • 31:06Unfortunately, you don't need the
  • 31:08brain or head, and we
  • 31:09know lots of people who
  • 31:10are ex vivo that is
  • 31:12the case, and that's not
  • 31:13necessary either.
  • 31:14So sorry, I couldn't help
  • 31:16it.
  • 31:17But there is one last
  • 31:18organ that is completely necessary
  • 31:21for life, and that is
  • 31:22the heart. And in fact,
  • 31:23the heart is the only
  • 31:26essential organ. Now, what's interesting
  • 31:28about the heart is that
  • 31:29it's formed by complex
  • 31:31folding.
  • 31:33That is how the heart
  • 31:34is made.
  • 31:36And it is very susceptible
  • 31:38to abnormal folding, and abnormal
  • 31:40folding leads to pregnancy loss.
  • 31:43Here's just an example of
  • 31:45an amazing paper that looked
  • 31:47at the details of embryonic
  • 31:49heart development between three point
  • 31:50five and eight weeks of
  • 31:52human development.
  • 31:53And this is just one
  • 31:54of their figures. It's too
  • 31:55complex for me to even
  • 31:57follow what was going on
  • 31:58with these hearts. But in
  • 31:59general, what I gained from
  • 32:01this paper is that it's
  • 32:02extremely complex,
  • 32:04and it takes very accurate
  • 32:05folding to make a heart.
  • 32:07And also, once the heart
  • 32:09starts at four weeks after
  • 32:10fertilization,
  • 32:11it continues to grow every
  • 32:12day. It is beating at
  • 32:14a hundred and fifty beats
  • 32:15a minute, and it's getting
  • 32:17larger. It's like building an
  • 32:19airplane in midair while it's
  • 32:20flying. That is a very
  • 32:22sophisticated problem. So in my
  • 32:24opinion,
  • 32:25what I think is happening
  • 32:26with these pregnancy losses is
  • 32:28that they're related to abnormal
  • 32:30heart folding.
  • 32:31And
  • 32:32I think that
  • 32:33increased abnormalities of folding,
  • 32:36as shown by this graph,
  • 32:37are related to earlier losses,
  • 32:39which is reflected in just
  • 32:41the statistics of looking at
  • 32:43pregnancy losses.
  • 32:44As anybody who is a
  • 32:45reproductive endocrinologist
  • 32:47knows, extremely high number of
  • 32:49empty sac losses
  • 32:51probably in the first week
  • 32:52or two, and I think
  • 32:53those are simply
  • 32:54an embryonic or simply an
  • 32:56embryo that never had a
  • 32:57heart that started. It didn't
  • 32:58even start. If it starts
  • 33:00at four weeks and then
  • 33:01fails right away, then we
  • 33:03have very early losses. And
  • 33:04although we have a million
  • 33:06miscarriages,
  • 33:07I think we actually have
  • 33:09even more losses before this
  • 33:10period of time that we
  • 33:11don't even know about. Right?
  • 33:13I agree. Not even appreciated.
  • 33:15And, again, what is the
  • 33:16critical organ that's necessary? What
  • 33:18do we look at when
  • 33:19we define that you have
  • 33:21a pregnancy?
  • 33:21It's, of course, a heartbeat,
  • 33:23right? That's what we're looking
  • 33:24for. So I think that
  • 33:25this is really where
  • 33:27the answer is.
  • 33:29The final piece of this
  • 33:30puzzle that I'd like to
  • 33:31share with you is an
  • 33:32enigma that I've had. I've
  • 33:34showed you that the number
  • 33:35one cause of stillbirth is
  • 33:36a small placenta.
  • 33:37How could genetics relate to
  • 33:39small placentas?
  • 33:40Well,
  • 33:41I think that it relates
  • 33:42back to the heart, and
  • 33:44that when you have an
  • 33:45abnormal heart, the heart does
  • 33:47not pump as well, has
  • 33:48poor cardiac output, and does
  • 33:51not literally blow up the
  • 33:52placenta
  • 33:53like a bicycle pump normally.
  • 33:56So if you have a
  • 33:57bicycle pump that is too
  • 33:58small, and this is completely
  • 34:00hypothetical, there is no evidence
  • 34:02to support this at all.
  • 34:03Although, Hugh, you'll remember the
  • 34:05grant we submitted for our
  • 34:07stillbirth
  • 34:08included trophoblast inclusions, EPV, and
  • 34:10looking at detailed heart structure.
  • 34:13So I think that we're
  • 34:14on the right track. Now
  • 34:15is there evidence in the
  • 34:16literature to support this? Well,
  • 34:17there certainly is. Here's, for
  • 34:19example, an article that said,
  • 34:21among the few studies reported,
  • 34:23several of these have noted
  • 34:25smaller placentas in newborns with
  • 34:26congenital heart disease.
  • 34:28And Miriam Hamburger,
  • 34:31who, Yong Hui, you had
  • 34:32quoted one of her papers
  • 34:33early in our study years
  • 34:35ago. You might remember this
  • 34:36paper that you,
  • 34:38shared with everybody.
  • 34:39What she showed, and I
  • 34:41talked to her about this
  • 34:42work, she said in the
  • 34:43mouse,
  • 34:44not all small placentas are
  • 34:45associated with congenital heart disease,
  • 34:47but all cases of congenital
  • 34:49heart disease have a small
  • 34:50placenta. So I think that's
  • 34:52an interesting observation.
  • 34:53So my question and
  • 34:55final hypothesis
  • 34:57to think about for the
  • 34:58group here is are there
  • 34:59common genes responsible for all
  • 35:01these things? Trophoblast inclusions, abnormal
  • 35:04folding, increased folding in the
  • 35:06brain, dysmorphia features in embryos,
  • 35:08pregnancy losses, abnormal hearts, are
  • 35:11there common genes?
  • 35:12And Miriam Hamburger, again, and
  • 35:14this is the paper that
  • 35:15you cited for us, young
  • 35:16Weez, she said placental defects
  • 35:18correlate strongly with abnormal brain,
  • 35:21heart, and vascular development in
  • 35:23these embryonic lethal mouse mutants.
  • 35:25So that, I think, is
  • 35:27where we are headed with
  • 35:28gPRPL.
  • 35:29I will just end with
  • 35:30one final study that we're
  • 35:32just hopefully finishing soon. Cindy
  • 35:34Ortonau at
  • 35:36University of Washington Washington University
  • 35:38in Saint Louis, sorry.
  • 35:40She looks at the brain
  • 35:41heart connection.
  • 35:43I asked her to look
  • 35:44at if I could look
  • 35:45at the placentas
  • 35:46from her cases
  • 35:48of congenital heart disease and
  • 35:50abnormal brain development, and we
  • 35:52have shown that there's a
  • 35:54significant increase of tropholast inclusions
  • 35:56in the placenta of children
  • 35:58with congenital heart disease. So
  • 36:00I think the unifying hypothesis
  • 36:02might be that there are
  • 36:03shared genes related to congenital
  • 36:05heart disease,
  • 36:06folding morphogenesis,
  • 36:07branching morphogenesis,
  • 36:09pregnancy loss, intelligence,
  • 36:11developmental
  • 36:12disabilities such as autism.
  • 36:14And what I'm hoping is
  • 36:16that in our studies, we
  • 36:17can identify some of these
  • 36:19common genes.
  • 36:20Now this work is done
  • 36:21with many, many, many people
  • 36:23involved, including, of course, the
  • 36:24GPR
  • 36:25group right here, the trophoblast
  • 36:27inclusion group, my pregnancy loss
  • 36:29group, and Cindy Ortonau's group
  • 36:31at
  • 36:32University of Washington. I'd like
  • 36:33to acknowledge them. And for
  • 36:35anybody who is interested in
  • 36:36any details of what I've
  • 36:38talked about, please feel free
  • 36:39to email me or go
  • 36:40to my lab site here
  • 36:42at yale, klein and labs
  • 36:43dot yale dot edu. And,
  • 36:44again, I put this out
  • 36:45to anybody who has any
  • 36:47patients with pregnancy loss. I
  • 36:48would welcome very much looking
  • 36:50at those cases and helping
  • 36:51you with them. Thank you
  • 36:53very much for letting me
  • 36:54share my work with you
  • 36:55today.
  • 37:00Thank you, Hugh. Hey, Warwick.
  • 37:02Amazing.
  • 37:04Well How do you bring
  • 37:05it all together?
  • 37:07I like a lot of
  • 37:08quote,
  • 37:09Harvey.
  • 37:10That's a
  • 37:11history. I I have a
  • 37:13how you're looking for, sort
  • 37:15of what would be the
  • 37:16next step to for this
  • 37:18study.
  • 37:19How many of for case
  • 37:21you have fresh,
  • 37:23percent store in
  • 37:26minus eighty or or or
  • 37:28liquid nitrogen, would you able
  • 37:29to do the RNA expression
  • 37:31study?
  • 37:33Yeah. Unfortunately,
  • 37:35my relationship with my patients
  • 37:38is and, actually, COVID is
  • 37:39partly it's interesting. Before COVID,
  • 37:42I saw very few pregnancy
  • 37:43loss patients because they had
  • 37:45to physically be in Connecticut
  • 37:46or come to Yale to
  • 37:47see me.
  • 37:48COVID opened up the opportunity
  • 37:50for me to start seeing
  • 37:51patients all over the world,
  • 37:52literally.
  • 37:53So I now have a
  • 37:55reputation that really draws from
  • 37:57all over, and the negative
  • 37:59is that my patients
  • 38:01are seeking me out after
  • 38:02they've tried to get answers
  • 38:04locally.
  • 38:05And when they can't get
  • 38:05an answer locally, they find
  • 38:07me, like the first case
  • 38:08I showed you. And those
  • 38:10cases, the placentas are fixed
  • 38:12in formalin.
  • 38:13So that is why in
  • 38:14the very beginning of this,
  • 38:16study,
  • 38:17I was so grateful
  • 38:19that the Yale Genomic Center
  • 38:20and Monkel, I have to
  • 38:22thank him and his whole
  • 38:23team and everybody,
  • 38:24you know, who was involved
  • 38:26with this, to figure out
  • 38:28how to actually do decent,
  • 38:29not fantastic, but decent genomic
  • 38:31analysis of paraffin embedded tissue
  • 38:34because it is very difficult
  • 38:36to get that fresh loss
  • 38:37on these patients as we
  • 38:38know. So that's, I think,
  • 38:40the limiting factor. If there's
  • 38:41a way for anybody to
  • 38:42figure out how to solve
  • 38:43that,
  • 38:44yes. We should try to
  • 38:45do it. But I I
  • 38:46go where the light bulb
  • 38:47is shining at night, you
  • 38:48know, the old adage of
  • 38:49the old man losing the
  • 38:50keys. You know? You look
  • 38:51where the light bulb is
  • 38:52shining. That's always been my
  • 38:54philosophy.
  • 38:56Harvey, to date, I mean,
  • 38:57of the ones of your
  • 38:58specimens
  • 38:59that have been
  • 39:00sequenced, have the ones that
  • 39:02have shown some evidence of
  • 39:04mutation been particularly extreme in
  • 39:06the number of inclusions they've
  • 39:08had, or are there any
  • 39:09correlation there?
  • 39:10Well, it's interesting you asked
  • 39:12that. Every patient that I
  • 39:14have submitted to GPRPL
  • 39:16has truffle blast inclusions. That
  • 39:17is the that is the
  • 39:18criteria.
  • 39:19Huge variability.
  • 39:21There is a variability.
  • 39:23Conclusions. I thought what you
  • 39:24were gonna ask was something
  • 39:25slightly different, so I,
  • 39:27just allow me this,
  • 39:29to change your question slightly.
  • 39:31Have we even found any
  • 39:33genetic genes in my two
  • 39:34hundred or so patients? And
  • 39:36I'm gonna let Monkel speak
  • 39:37to that. He and Andrew
  • 39:39and I meet, you know,
  • 39:40every few weeks to go
  • 39:41over my patients.
  • 39:43And,
  • 39:44you know, there have been
  • 39:45some that we have found
  • 39:46some answers. I'm surprised still
  • 39:49at how few we have
  • 39:50found answers to, but I'm
  • 39:52hoping
  • 39:53that we will find them
  • 39:54and continued analysis will work.
  • 39:56Michael, do you wanna jump
  • 39:57in and give me an
  • 39:57overview
  • 39:59of that? So so one
  • 40:00of the analysis on the
  • 40:01to do list, okay, the
  • 40:03a low hanging fruit is
  • 40:04to ask the question of
  • 40:06a lot of genes are
  • 40:07expressed in the placenta and
  • 40:08the, you know, the placenta
  • 40:10material. So, you know, the
  • 40:12the first low hanging fruit
  • 40:13is a direct genetic influence.
  • 40:15So genes that cause disease
  • 40:17and are also important in
  • 40:19the expression in,
  • 40:21placenta. Like, Hugh, you remember
  • 40:23when I, when we presented
  • 40:24the NIH, one of them
  • 40:25were a gene that was
  • 40:27very important for vascular
  • 40:29vascularization
  • 40:31of the of the placenta.
  • 40:32So it's not only important
  • 40:34placenta, but it's, you know,
  • 40:35important in general too. But,
  • 40:37you know, but it does
  • 40:39cause a big problem early
  • 40:40development. So so I think
  • 40:42the next low hanging fruit
  • 40:44is asking the questions, okay,
  • 40:46we know these genes cause,
  • 40:48you know, severe diseases or
  • 40:50these are strong candidates, one
  • 40:51or the other, one of
  • 40:52the what are their expression
  • 40:54levels like? And we can
  • 40:55go one further,
  • 40:56Harvey, because
  • 40:57in preparing the stillbirth grant
  • 40:59last year yeah.
  • 41:01Still still the trauma of
  • 41:02chasing
  • 41:04chasing signatures,
  • 41:06you know, one hour before
  • 41:07submissions. It's still burned in
  • 41:09my head. But one one
  • 41:11of the things that,
  • 41:12that the field has done,
  • 41:14you know, and this is
  • 41:15my gonna be my question
  • 41:17to you, Harvey, because it's
  • 41:18related to what Yonghui said
  • 41:19is they've done some really
  • 41:21great single nuclei work. So
  • 41:23frozen placenta. And because
  • 41:26of the property you're saying,
  • 41:27it's very similar to,
  • 41:29to muscle fibers. You have
  • 41:30multiple nuclei sharing the same
  • 41:32cytoplasm.
  • 41:35So single nuclei work really
  • 41:36well in that, and they've
  • 41:37done some single nuclei that
  • 41:39was published about a year
  • 41:40and a half ago in
  • 41:40Nature Genetics.
  • 41:42So one of the cool
  • 41:43things we could do, you
  • 41:45know what I mean,
  • 41:46if,
  • 41:47if,
  • 41:48you know, you can correct
  • 41:50me if I'm wrong.
  • 41:51You know, in preparing it,
  • 41:53I think Lina and I,
  • 41:55know that
  • 41:56Yale has a placenta
  • 41:58biobank or something like that.
  • 42:00And
  • 42:01and if there are some
  • 42:03that you know what I
  • 42:03mean? That are you know
  • 42:06you know how you had
  • 42:07that model, Harvey, of, you
  • 42:08know, the three possibilities. Normal
  • 42:10is in the middle, and
  • 42:11this can happen. This can
  • 42:12happen. If we can get
  • 42:13examples of that, and we
  • 42:14can ask the question of,
  • 42:16is there
  • 42:17gen a genetic signature? If
  • 42:19we did single nuclei sequencing
  • 42:21I don't have the money.
  • 42:21I'm hoping someone this call
  • 42:23does, they can pay for
  • 42:23it.
  • 42:24If we did single nuclei
  • 42:26sequencing on,
  • 42:27placentas
  • 42:28from this,
  • 42:29then we can use, for
  • 42:31example, the publication Nature's Genetics.
  • 42:33This is how this is
  • 42:34how healthy placenta should behave.
  • 42:37We can create our own
  • 42:38controls and ask that question
  • 42:39of you know what I
  • 42:40mean? But the genetic signature
  • 42:42could be in response
  • 42:44or it could be the
  • 42:45driver, but it will still
  • 42:46be a genetic signature. And
  • 42:47it will give us more
  • 42:49of a feel for that
  • 42:51mechanism behind what you were
  • 42:52saying. You know what I
  • 42:53mean? Or just say, you
  • 42:54know, what is the genetics
  • 42:55behind that mechanism. For some
  • 42:57of that mechanism could be
  • 42:58purely as you, I think,
  • 42:59hinted Harvey. It could be
  • 43:01purely physical, but it could
  • 43:03be a physical thing, and
  • 43:04then there's a genetic response
  • 43:06to it or vice versa,
  • 43:08you know, a chicken egg.
  • 43:09But it'd be a cool
  • 43:10thing we could do. You
  • 43:11know what I mean? Since,
  • 43:12you know,
  • 43:14it's only become available, this
  • 43:16technology, to do something like
  • 43:17that. I'd like to try
  • 43:18on that before the FFPE.
  • 43:20But but me saying this,
  • 43:22I I we would need
  • 43:23money to do this, but
  • 43:25it'd be an awesome question
  • 43:26to ask, you know, based
  • 43:27on your presentation, Harvey.
  • 43:29Thank you. That sounds awesome.
  • 43:31But my question was really
  • 43:32more the ones you've that
  • 43:33we have found some mutations
  • 43:34in the samples you do
  • 43:36have, were they, you know,
  • 43:37were they just loaded with
  • 43:38inclusions? Were they the real
  • 43:39extremes?
  • 43:41Right. So I have to
  • 43:42admit I haven't done that
  • 43:43because
  • 43:45and, again,
  • 43:46Andrew, I don't see him
  • 43:47on the call, and Monkel
  • 43:48and Ira. I I would
  • 43:49love to sit down and
  • 43:51actually, at some point, collect
  • 43:53all of the cases that
  • 43:55I have, you know, pathology
  • 43:57on and I've looked at.
  • 43:58What are the genetic results
  • 44:00that we've gotten? There aren't
  • 44:01that many. That's why I
  • 44:02was hoping Oh, it's not
  • 44:03many. But if what if
  • 44:04what if those you know,
  • 44:05one we found was the
  • 44:07one that had, you know,
  • 44:08hundred times more occlusions. We
  • 44:09might have found that connection
  • 44:10already. Okay. That's true. That's
  • 44:12a good point. I've always
  • 44:14looked, and you can tell
  • 44:15where I'm going with this.
  • 44:17I've always been asking and
  • 44:19wondering the genes that are
  • 44:20found. Could they have something
  • 44:21to do with folding, with
  • 44:23bending?
  • 44:23What's interesting, Piezo one
  • 44:26is a, you know, a
  • 44:27touch bending,
  • 44:29you know, gene. So that's
  • 44:31kind of interesting. And that's
  • 44:32the first one we found,
  • 44:34right, of one of my
  • 44:35families.
  • 44:36And I think that's really
  • 44:38interesting. So, yeah, that is
  • 44:39always going to be my
  • 44:40mind. The other thing I
  • 44:41wanna bring up is that,
  • 44:43two things. One is if
  • 44:45you play a little game
  • 44:46with yourself and ask the
  • 44:47question, what does morph embryology
  • 44:50do? What what creates morphology
  • 44:52structure?
  • 44:53It turns out that the
  • 44:54number one tool in the
  • 44:55toolbox
  • 44:56is tissue folding, either invagination
  • 44:59or branching morphogenesis.
  • 45:00I mean, that's ninety percent
  • 45:02of everything we are, from
  • 45:03the first neurofold
  • 45:04to all the branching organs.
  • 45:06So how many genes do
  • 45:08you think control that? Cell
  • 45:10proliferation,
  • 45:11fusion,
  • 45:12bilayer, you know, deformation.
  • 45:15That's everything. There probably
  • 45:17thousands and thousands of genes
  • 45:18that are involved with that
  • 45:19process since that is the
  • 45:21dominant tool that's in the
  • 45:22toolbox.
  • 45:26Yep.
  • 45:27Well, there was a good
  • 45:28model for maybe someone knows
  • 45:30on this call. You you
  • 45:30know what I mean? A
  • 45:31genetics approach to doing this
  • 45:33is to to do a
  • 45:34CRISPR knockout screen. So if
  • 45:36you if you know what
  • 45:38phenotype you want, then you
  • 45:39can ask the question, if
  • 45:40I knock out that gene,
  • 45:41does that phenotype vary? You
  • 45:43know what I mean? So
  • 45:44it it it's a question
  • 45:45we can ask now because
  • 45:47of our genetic toolbox that
  • 45:48we can ask if the
  • 45:49question is which genes that
  • 45:51contribute to that. But you
  • 45:53find the one that you
  • 45:54know, you start with the
  • 45:55one that has the best
  • 45:56correlation with the inclusions, and
  • 45:57that's the one we knock
  • 45:58out first. Mhmm.
  • 46:01Is there such thing as
  • 46:02a Piazza one knockout, though?
  • 46:03It just I think we
  • 46:04don't exist without that gene.
  • 46:06Right? I can't imagine. Do
  • 46:07we? Is there a person
  • 46:09that exists without that gene?
  • 46:12Not sure. I'm not sure
  • 46:13if there's a mouse model
  • 46:14we eat on. So Yeah.
  • 46:15Most of these, we knock
  • 46:16it out. It's probably embryonic
  • 46:17lethal. Yeah. Exactly.
  • 46:19I would imagine that you
  • 46:21know, because the first neurofold
  • 46:22of creation of the heart
  • 46:23is dependent on folding. So,
  • 46:25you know Maybe we'd have
  • 46:26to knock knock it out.
  • 46:27We have to recreate whatever
  • 46:29mutation we find in the
  • 46:30patients that may recreate the
  • 46:32same phenotype in the mouse.
  • 46:34Mhmm. Mhmm. But one thing
  • 46:35you could do, like, in
  • 46:36some of these papers, if
  • 46:37it's embryonic lethal
  • 46:39or, yeah, important for early
  • 46:40development, you can have a
  • 46:41conditional knockout. You go, okay.
  • 46:43We believe it's because of
  • 46:44this tissue, and then then,
  • 46:46you know, prove it via
  • 46:48conditional knockout. Knock it out
  • 46:49just in placenta.
  • 46:51Yeah.
  • 46:52But either knock it out
  • 46:53just in placenta or, again,
  • 46:55if we have a phenotype
  • 46:56that maybe not a complete
  • 46:58same, you know, null mutation
  • 47:00phenotype that's a that's a
  • 47:03based on just a mutation
  • 47:04that makes it somehow
  • 47:05function differentially, we could recreate
  • 47:08that in the mouse model,
  • 47:09see if we can recreate
  • 47:11the phenotype.
  • 47:14Alright. Again, I wanna thank
  • 47:15everybody for your time. Please
  • 47:16feel free to contact me,
  • 47:18individually
  • 47:19by email, either clinically or
  • 47:21research, and, of course, Mankel,
  • 47:24Ira, Hugh, you know, John,
  • 47:25we I'm here, and I'm
  • 47:27very excited to continue to
  • 47:28work on this project with
  • 47:29all of you. Yeah. Yeah.
  • 47:30But definitely, thanks for the
  • 47:32idea, Hugh. So,
  • 47:33Harvey, we can follow-up on
  • 47:34it if you want Andrew
  • 47:36to do an analysis or
  • 47:37one of your students analysis.
  • 47:38Because I know you have
  • 47:39the spreadsheet with some of
  • 47:41those things quantitated. We could,
  • 47:42you know, combine the two
  • 47:44things.
  • 47:45Absolutely.
  • 47:46Worth done.
  • 47:48Alright. Great. Thanks, Harvey. Thank
  • 47:50you, everybody.
  • 47:51See you. Thank you, everyone.