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An Organ on Chip Approach to Evaluation of Reproductive Health, Aging and Disease in Women

Critical Path Institute · 2,849 words · 13 min read

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0:00All right.

0:03Is this the clicker? Oh, that's the

0:05wrong one.

0:10Oh, here we go. Got it. Think I got the

0:13right one. All right. Uh, hey everybody.

0:16Um, I'm Dylan Gordon with CFD Research

0:19Corporation and, uh, I'm with the

0:21Invitro and Encilico Modeling Group

0:24there and it's honestly a pleasure to be

0:26speaking in front of everybody to

0:27present our data today.

0:28>> [clears throat]

0:28>> Um

0:31uh I'm here to present you know the work

0:32that we've doing for tissue chips 2.0

0:35and we are developing a uterine model to

0:37assess the effects of uh aging and

0:40reproductive health and disease in

0:42women. Uh especially considering

0:44microgravity effects on these things. Um

0:47but before starting I'd like to give a

0:48big thanks to our collaborator. Um if if

0:51we didn't have their help we really

0:52wouldn't be able to pull this off. So a

0:54big thanks to them and thank you for the

0:56opportunity to present our work. Uh I'm

0:57going to give a quick overview of what

0:59CFD research is capable of. Um I know

1:01we're running a little behind so I'm

1:02going to kind of go through this quickly

1:04but uh we we specialize [clears throat]

1:06in both in vitro and incilico modeling.

1:09Uh and some examples would be uh we do

1:11have a bloodb brain barrier on a chip.

1:13We have a cornea on a chip triculture.

1:15Uh we have a uh we've developed a lung

1:18on a chip as well as a placental model.

1:21Uh and also a bone and joint model. Um

1:24we do uh complement our modeling with

1:27high fidelity physics models including

1:30phiccoysics and phicodnamics. Um but we

1:33also we have extensive uh experience

1:35with barrier models and some of the key

1:38features that I'll point out later on in

1:40this are uh the we have some uh we have

1:42slits in between some of the adjacent

1:44channels that allow for cell cell

1:46interaction or we even have pillar

1:48designs if someone would be so inclined

1:51to have a uh monocy uh model to uh

1:56explore migration or adhesion ashes

1:58assays excuse me.

1:59[clears throat and cough]

2:01So, I know we've already been over uh

2:03what we learned with tissue chips in

2:04space, but I'll briefly um kind of go

2:06over what our key findings were. And

2:08that was that uh you get accelerated

2:10disease progression and accelerated

2:12aging in space. And these are conditions

2:14that are difficult to replicate on Earth

2:16uh just because of the fact that it's in

2:18microgravity. Um [clears throat] and

2:20what we wanted to do is we wanted to

2:22explore disease, aging and astronaut

2:25health uh with respect to um fe or with

2:29respect to women's health. Uh and in

2:31particular we'd like to study women's

2:33reproductive health or uterine aging. Um

2:36[clears throat]

2:37each of these uh can each of these

2:39aspects can impact uh uterine health and

2:41reproductive health. And we wanted to uh

2:44adapt our space flight or adapt our

2:47model for space flight to assess these

2:49effects of microgravity um while

2:51introducing a drug repurposing pipeline

2:54to see if we can either reverse or uh

2:58stop the effects of the of aging in the

3:00uterus.

3:02>> [clears throat]

3:02>> So to study this uh we wanted to create

3:05something that we call Uhura which is a

3:08micrfluidic human uterus on a chip to oh

3:11excuse me uh to study reproductive aging

3:14and we wanted to adapt this model for

3:16long-term space flight and uh that means

3:20you know and and in order to do that

3:22we'd also like to recreate the menstrual

3:24cycle. So it was uh necessary to build

3:27upon our already established triculture

3:29model that we had of this by uh adding

3:30in the mometrium. And this was uh it was

3:33necessary for us to reestablish basement

3:36membranes, flow rates, um media

3:39compositions, cell seating density,

3:42etc., etc. We had to kind of completely

3:44redo this thing to establish uh or to

3:46prepare it for long-term space flight.

3:49Uh, [clears throat] and we originally

3:51only adapted the tririculture for about

3:537 days in culture, but we want to get

3:54this out to 35 days to completely

3:57recreate the menstrual cycle. [snorts]

3:59Um, [clears throat]

4:01so I wanted to uh excuse me uh I I just

4:05wanted to give a a brief overview on the

4:08order in which we seed the cells and uh

4:11do things like increasing flow rates etc

4:13etc. So uh on day zero we uh start to

4:16establish the endometrium which is by

4:18seating the indometrial epithelial cells

4:20into the top channel there um the EEC

4:23and that's uh we allow [clears throat]

4:26them to establish for about 24 hours and

4:28then on day one we seed the uterine

4:30smooth muscle cells down at the very

4:32bottom channel and establish the

4:33myometrium. Uh after the myometrium has

4:36been established, we'll see the uh we'll

4:39go ahead and see the epithelium or the

4:40endthelium, excuse me, with the uterine

4:42microvascular endothelial cells and then

4:45eventually we'll uh see the fibiberblast

4:48last to fully establish the endometrium.

4:50Uh at the same time, we will begin what

4:53we call a ramp or gradually increasing

4:55the flow rate of media fed into these

4:57channels. we'll gradually increase that

4:59flow rate over time to uh to to a

5:02constant rate and then on day four we'll

5:05do the same thing. We'll do the same

5:07flow rate increase over time. Uh also

5:11[clears throat] as a reproductive tissue

5:13it's uh pretty important to incorporate

5:15physiologically relevant hormone cycles

5:17and in doing so we instituted a hormone

5:20dosing regimen of estradile and

5:22progesterone. Um, and we based this off

5:25of a literature review for what the

5:27serum concentrations are and down

5:29calculated or uh adapted these

5:31concentrations for use in a micrfluidic

5:33model. Uh, and then we adapted uh these

5:37concentrations to be in sync with what

5:40the crew on the ISS would be doing. So

5:42every 5 days we'll be having an increase

5:44or decrease in specific hormones and the

5:47media bags will be already uh prepared

5:50with the hormone. All they have to do is

5:51just switch them out starting at 10

5:53days, 15 days, 20 days, 25 days and so

5:56on. So finally what we have is a fully

5:59established quad culture. So we have

6:01four cell types in a micrfluidic chip.

6:03Uh as you can see here on uh you know

6:06through phase microscopy uh on the top

6:09we've got our epithelium. Uh adjacently

6:13we have our stroal fiberblast, the

6:15endthelium and then finally on the

6:17bottom the smooth muscle cells. And

6:20[clears throat] I don't know if uh well

6:21I don't know but I'm going to point it

6:22out to you. Uh here on the in these

6:25little slits you can see between each

6:27cell these are about 3 to five micron

6:29wide slits and this allows cells to

6:31communicate with each other or signal to

6:33each other should they uh need to do

6:35that. Um which we think is kind of an

6:38important aspect of our our model. And

6:41in order or in in establishing this

6:43model we also wanted to make sure that

6:44we had a good and viable model. And so

6:46we performed uh viability such as a dead

6:49all using like a new green uh contrasted

6:51with hooks uh to check our viability and

6:55in all four cell types in the quad

6:57culture we have over 90% viability. Uh

7:00so I I you know we like to think that

7:02that gives us a kind of a robust model

7:04but in uh in addition to oops excuse me

7:07uh in addition to uh checking viability

7:09we wanted to make sure that our cells

7:10were expressing the proper phenotypes

7:13and with the proper phen excuse me

7:15[clears throat] uh for the proper

7:16phenotypes we'd like to stain uh each

7:19cell type for um certain biomarkers

7:21[clears throat]

7:22that are specific to those cell types.

7:23So on the epithelium we've got uh EPAM

7:26which is an important cell adhesion

7:27molecule. Uh in the stroal fiberblast we

7:30have lamin which is a you know basement

7:31membrane secretion. In the end

7:34endothelium we've got CD31 which is uh

7:36you know an important junctional

7:38protein. And in the smooth muscle cells

7:40we have al alpha smooth muscle actin

7:42which gives us you know our

7:43cytokeleletal structure. Um in and uh to

7:47further validate the model we uh wanted

7:49to check the function of our tight

7:51junction. uh and there so what we did

7:54was uh we ran a permeability assay using

7:56fluorescent molecules like uh florosine

7:58sodium salt or 40 kilodolan tritzy

8:01dextrand ran those through either the

8:02epithelium or the endothelium and

8:05measured the permeability index which is

8:07a ratio of the fluorescent input to the

8:09fluorescent output or how how much of

8:11the uh fluoresence had migrated across

8:13the membrane and this gives us an

8:14indication of how tight our junctions

8:16are and how good our uh tight junction

8:18formation is.

8:20Um so [clears throat]

8:22[snorts] moving on from that after

8:23establishing the model and validating we

8:25needed to integrate this uh with uh the

8:28MVP that Redwire has uh developed and so

8:31what we have to do is we have to

8:32miniaturaturize our model even further

8:35which consists of our chip which is

8:38already small thankfully. We have a

8:40syringe pump which is quite large and

8:42heavy and an incubator also quite large

8:44and heavy. Um lots of tubing, CO2 gas

8:49and we have to um collaborate with

8:51Redwire to get them to integrate all of

8:53these things into a something about the

8:55size of I would say a [snorts] tissue

8:58and maybe half of a tissue box. Um we've

9:01got in [clears throat] the uh in the uh

9:03MVP we'll be able to monitor oxygen, pH

9:06and cell confluence. And uh in the

9:09integration though we do need to

9:10reoptimize the pumps. We need to

9:12optimize sensor locations, bubble

9:13mitigation. Uh you know bubbles are are

9:16kind of a problem. So we don't want any

9:18bubbles in our uh model. Um then we also

9:21have to make sure that we can uh operate

9:23within their parameters for media

9:24infusion and also uh ISS crew media

9:27collection.

9:30So speaking of uh monitoring cell

9:32confluence and health, we uh have these

9:35uh impedance sensors that we've used

9:37inside of a on a PDMS chip and we tried

9:40two separate uh experiments. These are

9:43actually wellplate experiments but um we

9:45used a slower growing smooth muscle

9:47cells seated at a slightly lower

9:49confluence or seating at a slightly

9:51lower density and monitored their growth

9:53over time. And on this uh graph here you

9:56can see we have impedance over time

9:58starting at zero days where you have

10:00kind of a lag phase and then a sharp

10:02steep growth rate and then uh confluence

10:04where you can see that the graph starts

10:06to plateau. And in addition to this we

10:09did the same thing with epithelial

10:10cells. However, we seated them much more

10:12densely and they grow a little bit

10:13faster than the smooth muscle cells. And

10:14this is over 24 hours. We see the exact

10:16same thing with the lag phase, a steep

10:19growth rate and then confluence.

10:22[clears throat]

10:24Um, so we wanted to also

10:27>> [snorts]

10:27>> uh see if we could find a way to

10:29repurpose some drugs to either stop or

10:31reverse uterine aging. And we had our

10:34biioinformatics team kind of uh look at

10:36a a public uterine data set from a GTX

10:39database. And they use a signature

10:41reversion to um kind of down select or

10:45um select drugs that look like they

10:47would be good candidates for uh

10:49reversing or perturbing the uterine

10:52aging pathway. Uh two of the candidates

10:54were boromib and palocycib.

10:58Um and it turns out that these two drugs

11:01uh can can have a um reversing effect

11:05for uh scinesscent cells. They're

11:08typically used for cancer uh treatments,

11:10but uh this is, you know, kind of why

11:13we're doing this drug repurposing. Uh so

11:15what we want to do is we want to be able

11:16to test these drugs. And what we have to

11:18do to test these drugs is we'll need to

11:21artificially sess the cells that we are

11:24going to be studying. And currently what

11:26we're using for uh scinessence is we're

11:28using hydrogen peroxide to induce

11:30scinessence into the cells at varying

11:32concentrations. And here on the left

11:34there is a um this is a beta

11:36galactoidase assay the in the green

11:39which is an indicator of scinessence and

11:42also um [clears throat]

11:44we look at uh something called nuclear

11:46morphometrics. So as you age your nuclei

11:48kind of change their morphology and we

11:50used um a pipeline from uh nature paper

11:54that allows us that allowed us to um

11:57assess the nuclear morphology and

11:59determine the level of scinessence. And

12:01that's this um chart that you have up

12:03here on the right. So in media this is

12:05the level of scinessence. The

12:06scinessence level is low. And if as you

12:09increase your hydrogen peroxide

12:11concentration you trend up towards a

12:12more scesscent uh cell based on the

12:15morphology of the nuclei.

12:17[clears throat] Um and also we want to

12:20start eventually comparing uh young

12:22uterine cells versus aged uterine cells

12:25to see if we can uh tell a difference

12:26there with uh within our model.

12:30And um our future plans are we would

12:32like to get our culture extended out to

12:34about 35 days. Uh we need to fully

12:36characterize the aging and then start

12:38exposing in ship the drugs that uh we

12:41have found as a potential repurposing

12:43candidates. Um and I'd like to give uh

12:46thanks to PI Carry German, Katenbot,

12:49Kevin Ree, Dustin and Katie for their

12:52work. Uh University of South Florida,

12:54Matt Anderson and Beamethic uh TUS Juan

12:57Yeko. He's been great giving advice on

12:59how we need to treat ourselves. Uh Sha

13:02at Ruters also been critical for us and

13:04at Redwire and Rogers, Rich Bellinger,

13:06Grant Bellinger and at Svivo for

13:08providing the chips that we use uh Gwen

13:10Fuel and Jenna Rosano.

13:12Thank you.

13:15[applause]

13:19>> Yes,

13:26>> it's a great talk. I have a quick

13:27question on the two drugs that you

13:29trying to repurpose on your invitro

13:32model. What is the dosing that you saw

13:34some efficacy? What is the

13:36concentration?

13:37>> Uh I do not have that data in front of

13:39me right now. It is a low mic I believe

13:42it is a low microar uh dosing. The it

13:45was our bioinformatics team that kind of

13:47provided us with that data. But um if

13:50you want specifics get with me after

13:52here words and I can

13:53>> I think in our experience a lot of times

13:55the dosing is way too high uh compared

13:57to the C max that we can hit in our

13:59patients. Yeah.

14:00>> Yes.

14:00>> So that's why I was asking those.

14:02>> Okay. Yeah. Thank you for the question

14:05>> once more. Yeah.

14:08>> Okay. Is this on? Um so um you I you

14:12were mentioning I believe um tight

14:15junctions and also um the potential of

14:18like studying these under microgravity

14:19if I recall. Some some of the talks

14:21blend together so sorry if I'm mixing up

14:23details. No problem.

14:24>> Um I'm particularly interested in uh the

14:27formation of like via myomatada and um

14:30how like mechan mechanical transduction

14:33might be involved in that. Do you have

14:35like the capacity to maybe comment on

14:37potential roles of mechanic transduction

14:39in uterine aging?

14:40>> I don't think I have the capacity to

14:42comment on that unfortunately. Um, so

14:44[clears throat] my role is to

14:46essentially build the model um to

14:49optimize the basement membranes, seating

14:51densities, cell types, things like that.

14:54Um, as far as your question,

14:55unfortunately, I, you know, you, if you

14:58want to get with me after this, I can

14:59take your question and forward it to the

15:01people who I think could answer that for

15:02you. But unfortunately, I not really,

15:04>> you mentioned ECM as well. Did you

15:06notice any like differential expression

15:08in um, ECM with any of the factors that

15:10you introduced?

15:11>> Well, what we did notice was um, with

15:13different ECMs, we have a uh, some of

15:16the cultures would last a little bit

15:18longer in chip with different ECMs. We

15:20used this thing called an ECM array from

15:22Advanced Biomatric to assess which ECM

15:24we thought was optimal. And I think it

15:26had about 36 different ECMs on there.

15:28You plate the cells on there for a day

15:31or two. And then you can basically

15:32assess either just with phase microscopy

15:36or you can do some ICC staining for

15:37phenotype expression to assess which is

15:40uh which basement membrane or ECM you

15:42could use. And so that's how we kind of

15:44selected the basement membrane that that

15:46we were going to use.

15:47>> Okay. Thanks. Y

15:49>> thank you Dylan for this exciting

15:50presentation.

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