Gene Co-expression Analysis Uncovers Novel Targets for Early Detection and Treatment of SGA-Induced Metabolic Syndrome

Over the past decade, gene co-expression analyses have provided greater insights into the pathogenesis of metabolic syndrome induced by second-generation antipsychotics (SGAs), allowing for the identification of specific genes. Therefore, this study utilized high-throughput sequencing to obtain RNA-sequencing data from the peripheral blood of schizophrenia patients with MetS taking SGAs, as well as from a group taking SGAs without MetS and a healthy control group. Using WGCNA, we identified modules most associated with metabolic traits and subsequently identified specific genes. The aim of this study was to screen and discuss the mechanism of action of these genes, in order to provide a new target for the early detection and treatment of MetS caused by SGAs, as well as to provide a theoretical basis for further in-depth study of the molecular mechanisms involved.