Evidence map›Paper›PMID 42837047›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2026

Identification of Ywhab as a Candidate Downstream Target of Figla During Ovarian Reserve Establishment.

Le Yang, Linshuang Li, Lin Shen, Hanwang Zhang

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In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Le YangReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China.
Linshuang LiDepartment of Obstetrics and Gynecology, Hengyang Medical School, The Affiliated Changsha Central Hospital, University of South China, Changsha, China.
Lin ShenNational Research Institute for Family Planning, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100081, China.
Hanwang ZhangReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, Hubei, China. hwzhang605@126.com.ORCID http://orcid.org/0000-0003-4273-6772

Funding

National Natural Science Foundation of China 81771582
6 · The paper itself

Abstract

Early follicular development and primordial follicle formation are essential for ovarian reserve establishment, and disruption of this process may contribute to fertility disorders such as premature ovarian insufficiency (POI). Figla is an oocyte-specific transcription factor required for primordial follicle formation, but its candidate downstream genes and associated pathways remain incompletely understood. This study aimed to investigate the role of Figla in early follicular development and to explore its potential downstream regulatory events. A Figla knockout mouse model was generated to evaluate the effects of Figla deficiency on ovarian development and primordial follicle formation. ChIP-seq, motif analysis, and promoter activity assays were performed to identify FIGLA-associated chromatin regions and candidate genes. In addition, Figla overexpression and Ywhab knockdown experiments were conducted in a granulosa cell line, together with ovarian tissue Western blot analysis, to assess changes in growth activity, migration, ERK phosphorylation, and apoptosis-related markers. Figla was highly expressed in late embryonic and early postnatal ovaries, and its deletion primarily disrupted perinatal primordial follicle assembly, accompanied by progressive oocyte loss. ChIP-seq, motif, and promoter analyses supported Ywhab as a candidate gene potentially regulated by Figla. In KGN cells, Figla overexpression increased Ywhab expression and coincided with greater growth activity, migration, ERK phosphorylation, and changes in BAD/BCL-2/BAX-related markers. These cellular and signaling changes were attenuated by Ywhab knockdown. Additional ovarian tissue analysis showed reduced p-ERK/ERK and increased p-BAD/BAD ratios in Figla(-/-) ovaries. These findings support Ywhab as a candidate downstream gene potentially regulated by Figla and suggest a possible link between Figla-associated transcriptional regulation and cellular processes relevant to early follicular development. Further validation is needed before extending these findings to ovarian reserve establishment more broadly or to POI-related reproductive disorders.

Indexed as

Early follicular developmentFiglaGranulosa cellsOvarian reserveTranscriptional regulationYwhab

Identifiers

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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 OpenQuestion graph.