Identification and Subtype Analysis of Lipid Metabolism‐Related Diagnostic Biomarkers for Endometriosis Based on WGCNA and Machine Learning
Our study identified ELOVL6 and MED20 as promising lipid metabolism-related diagnostic biomarkers for endometriosis. We also uncovered distinct molecular subtypes linked to lipid metabolism, providing novel insights into endometriosis heterogeneity and potential therapeutic targets.
Authors
- Jinshuang Wu (ORCID: https://orcid.org/0000-0002-9644-8541)
- Yue Hou (ORCID: https://orcid.org/0000-0002-5040-9344)
- Yingyi Guo (ORCID: https://orcid.org/0000-0001-9112-687X)
- Ning Lou (ORCID: https://orcid.org/0000-0002-4920-5037)
- Dongxia Yang
Institutions
- Heilongjiang University of Chinese Medicine (CN)
- First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN)
Publication Details
- Journal
- American Journal of Reproductive Immunology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1111/aji.70201
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00