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Record W3159591878 · doi:10.1210/jendso/bvab048.1521

Differential Expression Changes in Human Decidua With Term and Preterm Labor: Role for Upstream Targets in the Prostaglandin Pathway

2021· article· en· W3159591878 on OpenAlexaff
Kylie K. Hornaday, Stephen Wood, David W. Anderson, Donna M. Slater

Bibliographic record

VenueJournal of the Endocrine Society · 2021
Typearticle
Languageen
FieldMedicine
TopicPreterm Birth and Chorioamnionitis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDeciduaPreterm laborDecidual cellsParacrine signallingBiologyProstaglandinAndrologyGestationInternal medicineEndocrinologyFetusPregnancyMedicinePlacentaReceptorGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction: Prostaglandins (PGs) are paracrine mediators thought to be important during pregnancy and labor. Synthesis of PGs is complex with three rate limiting steps, the second of which (PTGS2/cyclooxygenase) is a target for managing preterm labor, but this treatment is not always effective. It is suggested that alternate steps in the PG pathway may play distinct roles during labor and hence the potential as alternate targets for labor management. The first step of PG synthesis involves the action of phospholipase A2 (PLA2) enzymes, of which over a dozen isotypes are known. However, PLA2 expression and role in the decidua (maternal-fetal interface) is unknown. We hypothesize that distinct PLA2 isotypes are present within the decidua and play a role in term and preterm labor. To this end, we conducted an expression profile of PLA2 subtypes and related PG genes within human decidua and determined differential expression patterns with labor at term and preterm. Methods: Decidual samples from term (40wks) and preterm (26-37wks) Cesarean deliveries, were used to assess PG gene expression by RNAseq and qRT-PCR (n=7 preterm non-labor, n=11 preterm labor, n=31 term non-labor, n=31 term labor). Analyses were conducted using student’s t-test and one-way ANOVA to compare labor (non-labor vs labor) or with gestation (preterm vs term) and adjusted for multiple testing using the Benjamini-Hochberg method. Results: RNAseq analysis identified 30 highly expressed PG genes in decidua, of which 12 had not been previously reported in the uterus, including 7 PLA2 isotypes. Confirming previous work, expression of PTGS2 was higher with labor (p=0.011). In contrast, we demonstrate that PLA2 isotype expression is lower with labor, with further differences between term and preterm samples. With term labor, expression of PLA2 isotype 2D was lower compared to non-labour (p=0.047). Meanwhile, preterm labor was associated with lower expression of PLA2 isotype 16 (p=0.025) and 4C (p=0.026), compared to preterm non-labour. Epression of PLA2 subtypes 2A, 15 and 4A late was highest in late labor (p=0.016, 0.004, 0.03, respectively). Conclusion: The presence of multiple PLA2 subtypes within the decidua suggests the potential for fine tuning PG synthesis during pregnancy. Expression of PLA2 isotypes 16 and 4C was uniquely associated with preterm labor, suggesting these isotypes may play a role in the pathogenesis of preterm labor. Further investigation of the functional role of PLA2 isotypes may provide insight to a novel mechanism for preterm labor and identify potential targets for labor management.

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 score0.001
Threshold uncertainty score0.005

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)0.0010.000

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 head0.009
GPT teacher head0.255
Teacher spread0.247 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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