Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder

Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder

Abstract Major depressive disorder (MDD) is a multifactorial disorder involving genetic and environmental factors, with unclear pathogenesis. This study aims to explore the pathogenic pathway of MDD and its relationship with immune responses and to discover its potential targets by bioinformatics me...

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Bibliographic Details
Main Authors: Lei Tang, Liling Wu, Mengqin Dai, Nian Liu, Lu liu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Major depression disorder (MDD)
Machine learning
Gene set variation analysis (GSVA)
Immune infiltration
Biomarker
Online Access:https://doi.org/10.1038/s41598-025-97623-x
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https://doi.org/10.1038/s41598-025-97623-x

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