ReviewExpert reviews in molecular medicine2026
Bile Acid Metabolism Regulates Ovarian Function: Networks and Reproductive Health Applications.
Review in Expert reviews in molecular medicine, 2026. 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
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.
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.
Who cites it
2 citing papers in PubMed.
- The organelle oxidative-inflammatory network in polycystic ovary syndrome: from subcellular intercellular cascades to systemic comorbidities.Frontiers in immunology · 2026Review
- Decoding the gut-adipose-ovary axis in polycystic ovary syndrome: from metabolic dysregulation to oncological risk modulation.Frontiers in microbiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundBile acids (BAs) are crucial metabolic regulators and signaling molecules involved in lipid metabolism and ovarian function. They primarily affect follicular development, steroidogenesis, and oocyte maturation through systemic circulation and transporter-mediated uptake (e.g., NTCP, ASBT) rather than local ovarian synthesis. Increasing evidence indicates that BA dysregulation is associated with multiple reproductive pathologies.
methodsThis review is based on the authors' own work and a comprehensive PubMed search of the literature to date on bile acids and female reproduction. PubMed was searched using the terms "bile acid AND ovary," "bile acid AND oocyte," and "bile acid AND reproduction." Retrieved records were screened for relevance to ovarian physiology and pathology, including folliculogenesis, steroidogenesis, granulosa cell function, oocyte maturation, and reproductive disorders, and 51 articles were ultimately included in this review.
resultsStudies show significant BA dysregulation in reproductive disorders. In polycystic ovary syndrome (PCOS), elevated glycochenodeoxycholic acid (GCDCA) and taurocholic acid (TCA) correlate with hyperandrogenemia. Excessive BAs can induce endoplasmic reticulum (ER) stress and granulosa cell apoptosis; for example, glycodeoxycholic acid (GDCA) promotes a BAX/BCL-2 imbalance and may accelerate follicular atresia. In contrast, protective BAs such as ursodeoxycholic acid (UDCA) and tauroursodeoxycholic acid (TUDCA) alleviate ER stress and oxidative damage and may improve oocyte quality. Mechanistically, BAs regulate steroidogenic enzymes (e.g., StAR, CYP11A1) via the nuclear receptor FXR and modulate ovarian function through pathways including EGF-ERK1/2 and PERK-ATF4. Moreover, the gut-BA-ovary axis has emerged as a metabolic hub linking environmental factors to reproductive function, potentially contributing to PCOS pathogenesis and ovarian reserve decline through an integrated regulatory network.
conclusionsBA-mediated signaling networks play important roles in ovarian physiology and reproductive disease. BAs and BA-related pathways may serve as novel biomarkers and therapeutic targets for reproductive disorders.
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Registered trials
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.