ArticleFrontiers in endocrinology2021
Metabolomic Profiling of Poor Ovarian Response Identifies Potential Predictive Biomarkers.
Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 29 citations in OpenAlex.
- Mechanism of Guilu Erxian ointment based on targeted metabolomics in interveningFrontiers in endocrinology · 2023Trial
- Molecular characteristics of follicular fluid in advanced maternal age women with different ovarian reserves: a multi-omics study.BMC women's health · 2026Article
- Nicotinamide (Vitamin B3) Deficiency in Follicular Fluid of Patients With Ovarian Ageing.Journal of cellular and molecular medicine · 2026Article
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- Development and validation of a clinical prediction model for poor ovarian response in assisted reproductive technology.Frontiers in endocrinology · 2026Article
- Integrated follicular fluid multi-omics identifies steroidogenic dysregulation and a candidate SHBG-associated rescue framework in poor ovarian response.Frontiers in endocrinology · 2026Article
- Therapeutic mechanisms of Zi Chong granules against hydroxyurea-induced diminished ovarian reserve based on integrated multi-omics analyses.Journal of ovarian research · 2025Article
- Mass Spectrometry-Based Untargeted Metabolomics Identifies Distinct Metabolic Signatures in Infertility: A Comparative Analysis of PCOS, POR, and NOR.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Review
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management.Biomolecules · 2025Review
- Article
- Untargeted metabolomics reveals homogeneity and heterogeneity between physiological and pathological ovarian aging.Journal of ovarian research · 2025Article
- Metabolomics-Driven Insights into Biomarkers for Poor Ovarian Response: A Narrative Review.Biomedicines · 2025Review
- An exploratory single arm study to evaluate the role of an Ayurvedic treatment protocol as a prerequisite forFrontiers in medicine · 2025Article
- Non-targeted metabolomic analysis of follicular fluid in infertile individuals with poor ovarian response.Frontiers in endocrinology · 2025Article
- Identification of metabolomic changes and potential therapeutic targets during ovarian aging.Aging · 2024Article
- Metabolic landscape and pathogenic insights: a comprehensive analysis of high ovarian response in infertile women undergoing in vitro fertilization.Journal of ovarian research · 2024Article
- Cai's prescription inhibits granulosa cell apoptosis through ARHGAP4 on poor ovarian responders.Journal of ovarian research · 2024Article
- Sleep deprivation causes gut dysbiosis impacting on systemic metabolomics leading to premature ovarian insufficiency in adolescent mice.Theranostics · 2024Article
- Serum and follicular fluid metabolome and markers of ovarian stimulation.Human reproduction (Oxford, England) · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To characterize the serum metabolomic profile and its role in the prediction of poor ovarian response (POR). Patients: Twenty-five women with normal ovarian reserve (24-33 years, antral follicle count [AFC] ≥5, anti-Müllerian hormone [AMH] ≥1.2 ng/ml) as the control group and another twenty-five women with POR (19-35 years, AFC <5, AMH < 1.2 ng/ml) as the study group were collected in our study. The serum levels of the women in both groups were determined from their whole blood by untargeted liquid chromatography-mass spectrometry (LC-MS). Multivariate statistical analysis and cell signal pathways analysis were used to reveal the results. Results: A total of 538 different metabolites were finally identified in the two groups. Tetracosanoic acid, 2-arachidonoylglycerol, lidocaine, cortexolone, prostaglandin H2,1-naphthylamine, 5-hydroxymethyl-2-furancarboxaldehyde, 2,4-dinitrophenol, and D-erythrulose1-phosphate in POR were significantly different from control as were most important metabolites in support vector machines ( Conclusion: This study indicated that LC-MS-based untargeted metabolomics analysis of serum provided biological markers for women with POR. The nicotinate and nicotinamide metabolism pathway may offer new insight into the complementary prediction and therapeutic potential of POR. The functional associations of these metabolites need further investigation.
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