Evidence mapPaperPMID 42358728Full record

ArticleFrontiers in reproductive health2026

Identification of genes differentially expressed in granulosa cells from women with high vs. low ovarian responsiveness.

Alexa Medica, Matthew E Kim, Wei-Ting Hung, Abhishek Sohni, Antoni Duleba, Kun Tan, Miles F Wilkinson

Abstract read
In one paragraph

Article in Frontiers in reproductive health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alexa MedicaDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Matthew E KimDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Wei-Ting HungDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Abhishek SohniDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Antoni DulebaDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Kun TanDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.
Miles F WilkinsonDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A better understanding of the response of granulosa cells to exogenous hormone stimulation and how this impacts the complex interplay between the granulosa cells and the oocyte is crucial for the optimal management of infertile couples seeking IVF treatment. Methods: Granulosa and cumulus cells (G + CCs) from women with different degrees of ovarian responsiveness to controlled ovarian hyperstimulation (COH) were purified and used for RNA sequencing (RNA-seq) analysis and downstream bioinformatic analyses. Results: RNA-seq analysis on G + CCs purified from 16 patients undergoing hormone treatment for Conclusions: Our study (i) offers potential insight into the underlying pathophysiologic processes underlying weak ovarian responses, (ii) identifies genes that are candidates to define weak ovarian responders, and (iii) identifies signaling pathways that when modulated, could potentially be used to improve IVF outcomes.

Indexed as

apoptosiscumulus cellsdifferentiationgene biomarkersgranulosa cellsin vitro fertilizationovarian responsivenessproliferation

Identifiers

PMID42358728
PMCPMC13290879

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.