ArticleJournal of ovarian research2025
Transcriptomic analysis of theca cells in a PCOS rat model: insights into follicular development.
Article in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Cellular senescence and polycystic ovary syndrome: mechanisms and therapeutic strategies from a new perspective.Annals of medicine · 2025Review
- The interactions between autophagy and immune in the liver-adipose-ovary circuit of polycystic ovary syndrome.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundThis study aimed to analyze differentially expressed genes in theca cells of polycystic ovary syndrome (PCOS) rats using transcriptomic sequencing. Bioinformatics analysis and PCR validation were performed to identify genes involved in follicular development regulation in PCOS.
methodsTwenty 6-week-old female SD rats with regular estrous cycles were divided into two groups (PCOS and control, n = 10 each). The PCOS model was induced with a 1.0 mg·kg⁻¹ Letrozole solution. Theca cells were collected for transcriptomic sequencing, and differentially expressed genes were analyzed. Functional annotations and pathway enrichment were determined using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Gene interaction network and hub gene analyses were conducted, followed by RT-qPCR validation.
resultsPCOS rats exhibited increased body weight and irregular estrous cycles. A total of 1,114 differentially expressed genes were identified, including 516 upregulated and 598 downregulated genes. Fifty hub genes were selected for further analysis. GO and KEGG pathway enrichment analysis revealed significant involvement of the MAPK and PI3K-Akt signaling pathways. PCR validation confirmed that Cyp17a1, Cyp11a1, S6k1, mTOR, Akt, Kit, and Tek were significantly upregulated in the PCOS group (P < 0.05).
conclusionTranscriptomic analysis identified key genes and pathways involved in follicular development dysregulation in PCOS rats, providing potential targets for further research.
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Registered trials
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