Metabolomics profiling identifies diagnostic metabolic signatures for pregnancy loss: a cross-sectional study from northwestern China

Metabolomics profiling identifies diagnostic metabolic signatures for pregnancy loss: a cross-sectional study from northwestern China

ObjectiveTo identify potential diagnostic metabolic biomarkers for pregnancy loss (PL) by performing untargeted metabolomics analysis.MethodsThe present study performed untargeted metabolomics analysis on plasma samples from PL patients (n=70) and control subjects (n=122) using liquid chromatography...

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Bibliographic Details
Main Authors:	Nan Ding, Xin Yang, Ruifang Wang, Fang Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-04-01
Series:	Frontiers in Endocrinology
Subjects:	pregnancy loss untargeted metabolomics LASSO regression metabolic signature diagnosis
Online Access:	https://www.frontiersin.org/articles/10.3389/fendo.2025.1518043/full
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