ArticleZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2020
[Research progress on biomarkers for endometriosis based on lipidomics].
Article in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Integrated Serum Pharmacochemistry, Metabolomics, and Network Pharmacology to Reveal the Material Basis and Mechanism of Juan-tong-yin in the Treatment of Endometriosis.Applied biochemistry and biotechnology · 2026Article
- Integrating Metabolic and MicroRNA Profiling to the Diagnostics of Endometriosis: A Pilot Study.International journal of molecular sciences · 2026Article
- Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence.npj women's health · 2025Review
- The strategic role of lipidomics in biomarker identification and diagnosis of gynecological diseases.Frontiers in endocrinology · 2025Review
- Tumor Necrosis Factor Alpha Level in the Uterine Fluid of Patients with Polycystic Ovary Syndrome and Its Correlation with Clinical Parameters.Journal of inflammation research · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
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Abstract
The pathogenesis of endometriosis is not well understood at the moment, and the lack of effective biomarkers often leads to delayed diagnosis of the disease. Lipidomics provides a new approach for the diagnosis and prediction of endometriosis. Sphingomyelin, phosphatidylcholine and phosphatidylserine in peripheral blood, endometrial fluid, peritoneal fluid and follicular fluid have good diagnostic value for endometriosis and disease classification; the lipid metabolites in the eutopic endometrium tissue are expected to be biomarkers of early endometriosis; and the lipid metabolites in peripheral blood are also of great value for predicting endometriosis-related infertility. The development of lipidomics technique will further advance the progress on the pathogenesis, prediction, diagnosis and treatment of endometriosis.
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