ArticleJournal of ovarian research2025
Untargeted metabolomics reveals homogeneity and heterogeneity between physiological and pathological ovarian aging.
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 6 papers.
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Who cites it
6 citing papers in PubMed.
- Nutritional Regulation of Ovarian Bioenergetics: Implications for Reproductive Aging and Female Infertility.Nutrients · 2026Review
- Lipid remodeling and circulating semaphorin 3A in diminished ovarian reserve.Scientific reports · 2026Article
- Molecular characteristics of follicular fluid in advanced maternal age women with different ovarian reserves: a multi-omics study.BMC women's health · 2026Article
- Targeting MFF succinylation: a novel therapeutic strategy for premature ovarian insufficiency by restoring mitochondrial dynamics in granulosa cells.Journal of ovarian research · 2026Review
- Disruption of ovarian function and induction of apoptosis in female mice by Brefeldin A: Mechanistic insights into reproductive toxicity.Animal models and experimental medicine · 2025Article
- Studying ovarian aging and its health impacts: modern tools and approaches.Genes & development · 2025Review
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Abstract
backgroundOvarian aging is the main cause of reduced reproductive life span, yet its metabolic profiles remain poorly understood. This study aimed to reveal the metabolic homogeneity and heterogeneity between physiological and pathological ovarian aging.
methodsSeventy serum samples from physiological ovarian aging participants, pathological ovarian aging participants (including diminished ovarian reserve (DOR), subclinical premature ovarian insufficiency (scPOI) and premature ovarian insufficiency (POI)), as well as healthy participants were collected and analyzed by untargeted metabolomics.
resultsFive homogeneous differential metabolites (neopterin, menaquinone, sphingomyelin (SM) (d14:1/24:2), SM (d14:0/21:1) and SM (d17:0/25:1)) were found in both physiological and pathological ovarian aging. While five distinct metabolites, including phosphoglyceride (PC) (17:0/18:2), PC (18:2e/17:2), SM (d22:1/14:1), SM (d14:1/20:1) and 4-hydroxyretinoic acid were specific to pathological ovarian aging. Functional annotation of differential metabolites suggested that folate biosynthesis, ubiquinone and other terpenoid-quinone biosynthesis pathways, were mainly involved in the ovarian aging process. Meanwhile, dopaminergic synapses pathway was strongly associated with scPOI, vitamin digestion and absorption and retinol metabolism were associated with POI. Furthermore, testosterone sulfate, SM (d14:0/28:1), PC (18:0e/4:0) and 4-hydroxyretinoic acid, were identified as potential biomarkers for diagnosing physiological ovarian aging, DOR, scPOI, and POI, respectively. Additionally, SM (d14:1/24:2) strongly correlated with both physiological and pathological ovarian aging. 4-hydroxyretinoic acid was strongly correlated with pathological ovarian aging.
conclusionsMetabolic homogeneity of physiological and pathological ovarian aging was related to disorders of lipid, folate, ubiquinone metabolism, while metabolic heterogeneity between them was related to disorders of lipid, vitamin and retinol metabolism. CLINICAL TRIAL NUMBER: Not applicable.
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