Exploring the diagnostic potential of IL1R1 in depression and its association with lipid metabolism.

ABSTRACT:

Background

Depression is a complex mental disorder where oxidative stress and lipid metabolism disorders play crucial roles, yet their connection requires further exploration. This study aims to investigate the roles of oxidative stress and lipid metabolism disorders in depression using bioinformatics methods and Mendelian randomization analysis.

Methods

A differential gene expression analysis was performed on the GSE76826 dataset, followed by identification of the intersection with genes related to OS. Subsequently, support vector machine (SVM) and random forest algorithms were employed to determine the optimal division of feature variables. The diagnostic performance was evaluated using a ROC diagnostic model and Diagnostic Nomogram. Furthermore, Mendelian randomization (M

SUBMITTER: Gao Y 

PROVIDER: S-EPMC12058660 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature