Identification of key modules in metabolic syndrome induced by second-generation antipsychotics based on co-expression network analysis.

ABSTRACT:

Background

Second-generation antipsychotics (SGAs) frequently cause metabolic syndrome (MetS), which raises the risk of heart disease, type 2 diabetes, morbid obesity, atherosclerosis, and hypertension. MetS also impairs cognitive function in patients with schizophrenia. However, the fundamental reasons of MetS caused by SGAs are not yet fully understood. Thus, we aimed to identify potential therapeutic targets for MetS induced by SGAs.

Methods

The serum biochemical parameters and the RNA-sequencing of peripheral blood mononuclear cells were measured in three groups (healthy controls and patients with schizophrenia with and without MetS taking SGAs). The study of the weighted gene co-expression network was utilized to pinpoint modules that were significantly connected to cli

SUBMITTER: Sun Y 

PROVIDER: S-EPMC10826125 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature