[Research progress on biomarkers for endometriosis based on lipidomics].

Lin C, Cuicui Lin, Zhengyun Chen, Chen Z, Chunyan Wang, Xi Y, Yongmei Xi
Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2020 · vol. 49(6) , pp. 779–784 · doi:10.3785/j.issn.1008-9292.2020.12.14 · PMID:33448182 · PMC8800742 · W3123671501
article OA: green CC0 ⤵ 4 in-corpus citations
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⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-09 ⓘ

Lipidomics analysis of various biological fluids and tissues reveals promising biomarkers, including sphingomyelin, phosphatidylcholine, and phosphatidylserine, for endometriosis diagnosis, classification, and prediction of related infertility.

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The provided text does not include the paper’s actual scientific content (methods, results, or stated limitations), only a journal website/login interface, so the study’s population, lipidomics approach, and key findings cannot be determined from what is shown. Because no abstract, results, or discussion are present in the supplied excerpt, there is also no explicit caveat or limitation stated in the available material. This paper is centrally about endometriosis — based on lipidomics biomarkers, as indicated by its title and the corpus context, though the specific content is not included in the provided text.

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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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Condition tags

endometriosisinfertility

MeSH descriptors

Biomarkers Biomarkers Blood Chemical Analysis Blood Chemical Analysis Blood Chemical Analysis Body Fluids Body Fluids Endometriosis Endometriosis Endometriosis Lipidomics Lipidomics Female Humans

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

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