Integration of transcriptome profiling to identify key genes involved in the interplay between oxidative stress and mitophagy in major depressive disorder, followed by multidimensional phenotypic validation

BackgroundMajor depressive disorder (MDD) is recognized as a pressing global public health burden. However, its molecular mechanisms remain incompletely understood.MethodsIn this study, an integrative analysis of transcriptome datasets from the GEO database was conducted. GEO2R and the R programming language were used to identify differentially expressed genes (DEGs) related to oxidative stress and mitophagy. Key hub genes, such as EEF2, CCT3, EIF3I, and RPS5, were further identified through enr