Peripheral Biomarkers in Schizophrenia: A Meta-Analysis of Microarray Gene Expression Datasets.

ABSTRACT: BACKGROUND:Schizophrenia is a severe psychiatric disorder with a complex pathophysiology. Given its prevalence, high risk of mortality, early onset, and high levels of disability, researchers have attempted to develop early detection strategies for facilitating timely pharmacological and/or nonpharmacological interventions. Here, we performed a meta-analysis of publicly available gene expression datasets in peripheral tissues in schizophrenia and healthy controls to detect consistent patterns of illness-associated gene expression. We also tested whether our earlier finding of a downregulation of NPTX2 expression in the brain of schizophrenia patients replicated in peripheral tissues. METHODS:We conducted a systematic search in the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/gds/) and identified 3 datasets matching our inclusion criteria: GSE62333, GSE18312, and GSE27383. After quality controls, the total sample size was: schizophrenia (n?=?71) and healthy controls (n?=?57) (schizophrenia range: n?=?12-40; healthy controls range: n?=?8-29). RESULTS:The results of the meta-analysis conducted with the GeneMeta package revealed 2 genes with a false discovery rate ?

SUBMITTER: Piras IS 

PROVIDER: S-EPMC6403089 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature