Easy Identification, Treatment Response Prediction, and Molecular Mechanism Exploration of Antipsychotic-related Metabolic Syndrome

The investigators developed an easy identification model to identify metabolic syndrome in patients with schizophrenia or schizoaffective disorder who received treatment of clozapine, olanzapine, or risperidone. The accuracy of the investigators' models showed well. In the study, the investigators aim to (1) to examine whether the developed identification models can be generalized to patients taking other antipsychotics or patients with other diagnoses; (2) to develop an easy risk score and validate it; (3) to switch antipsychotics to amisulpride or aripiprazole for those with metabolic syndrome, and compare the changes of metabolic parameters including adiponectin, and analyze their association with genetic variants, demography, and clinical variables; (4) to establish models using artificial neural network and statistic method to predict metabolic response after a switch to amisulpride or aripiprazole; (5) to investigate the effect of antipsychotics on adiponectin gene expression and secretion during the differentiation process of 3T3L1 adipocytes.