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Record W4387361036 · doi:10.1210/jendso/bvad114.1566

OR09-04 Ovarian Stimulation Disrupts Expression Of The Retinoic Acid (RA) Signaling Pathway In The Human Endometrium

2023· article· en· W4387361036 on OpenAlexaboutno aff
Qingshi Zhao, Patrick Timmins, Michael Saad‐Naguib, Cherie-Ann Samuels, Rachel Loia, Tracy Wu, Anat Chemerinski, Sara S. Morelli, Andy V. Babwah, Nataki C. Douglas

Bibliographic record

VenueJournal of the Endocrine Society · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsnot available
Fundersnot available
KeywordsRetinoic acidEndometriumStromal cellTranscriptomeAndrologyBiologyEmbryoInternal medicineEndocrinologyGeneGene expressionCell biologyMedicineCancer researchGenetics

Abstract

fetched live from OpenAlex

Abstract Disclosure: Q. Zhao: None. P. Timmins: None. M. Saad-Naguib: None. C. Samuels: None. R. Loia: None. T. Wu: None. A. Chemerinski: None. S.S. Morelli: None. A.V. Babwah: None. N. Douglas: None. Ovarian stimulation (OS) is employed to recruit multiple dominant follicles and mature oocytes for in vitro fertilization (IVF). OS followed by a fresh embryo transfer (ET) is associated with decreased pregnancy rates. By better understanding the processes which prepare the endometrium for implantation, we hope to improve outcomes following OS. To understand the impact of OS on the endometrium, we performed an in-depth comparative analysis of the human endometrium under natural vs OS conditions during the periovulatory (PO) and mid-secretory (MSE) phase of the menstrual cycle. Our data showed that OS, which significantly elevated serum E2 and P4 levels, was associated with dyssynchronous glandular-stromal development, increased glandular epithelial volume, and increased macrophage and B cell abundance. We then performed bulk and single-cell RNA sequencing (RNA-seq) to identify the molecular pathways and cell-type specific transcriptomes associated with these changes. We found that OS significantly changed the expression of numerous genes in the retinoic acid (RA) signaling pathway, a pathway known to be crucial for a successful pregnancy. Our data showed that OS affected the fibroblast and epithelial cell-specific expression of genes that regulate RA signaling, with increased expression of RA synthesis genes and RA target genes, suggesting that OS increases endometrial RA signaling. RA is the metabolically active form of vitamin A which regulates the transcription of over 500 genes and adversely affects pregnancy when deficient or in excess. Thus, these findings led us to hypothesize that OS disrupts normal endometrial RA signaling and thereby endometrial differentiation that is required for implantation. We investigated whether RA is required for endometrial differentiation in humans and the establishment of pregnancy in mice. Using siRNAs against the RA receptor RARA, we observed that reduced expression of RARA mRNA in human endometrial stromal cells reduced their ability to undergo decidualization, an essential requirement for successful embryo implantation. We found that administration of BMS93, a pan RAR receptor antagonist, to pregnant dams prior to implantation from E0.5 or E2.5 until E7.5 resulted in pregnancy failure. Whereas BMS493 administration to pregnant dams from E4.5 to E7.5, resulted in pregnancies with reduced decidual vascular development in the anti-mesometrial region. Together, these data suggest that RA is required for the proper preparation of the endometrium for embryo implantation and loss of RA signaling in the endometrium, not the embryo, is a cause of pregnancy failure. Importantly, OS induced disruptions of RA signaling might contribute to reduced implantation rates in fresh ET, uncovering a novel pharmacologic target for improving pregnancy outcomes in fresh ET following OS. Presentation: Friday, June 16, 2023

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.281
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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