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Feng-Chen Lv

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Open access Sep 2026

Machine Learning-Guided Multi-Omics Integration Identifies UGCG as a Candidate Lipid Metabolic Biomarker and Potential Therapeutic Target in Sepsis

Background Sepsis is a highly lethal organ dysfunction syndrome characterized by dysregulation of the host immune response. This study aims to identify robust lipid metabolism-related genes (LMRGs) as candidate diagnostic biomarkers and to elucidate their underlying immunometabolic mechanisms. Methods We integrated two...

Feng-Chen Lv, Xin Wang, Li Hu · 0 citations

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