@article{10902/7929,
year = {2014},
month = {10},
url = {http://hdl.handle.net/10902/7929},
abstract = {BACKGROUND: Despite the widespread use of antipsychotics, little is known of the molecular bases behind the action of antipsychotic drugs. A genome-wide study is needed to characterize the genes that affect the clinical response and their adverse effects. METHODS: Here we show the analysis of the blood transcriptome of 22 schizophrenia patients before and after medication with atypical antipsychotics by next-generation sequencing. RESULTS: We found that 17 genes, among the 21 495 genes analyzed, have significantly-altered expression after medication (p-value adjusted [Padj] <0.05). Six genes (ADAMTS2, CD177, CNTNAP3, ENTPD2, RFX2, and UNC45B) out of the 17 are among the 200 genes that we characterized with differential expression in a previous study between antipsychotic-naïve schizophrenia patients and controls (Sainz et al., 2013). This number of schizophrenia-altered expression genes is significantly higher than expected by chance (Chi-test, Padj 1.19E-50), suggesting that at least part of the antipsychotic beneficial effects is exerted by modulating the expression of these genes. Interestingly, all six of these genes were overexpressed in patients and reverted to control levels of expression after treatment. We also found a significant enrichment of genes related to obesity and diabetes, known adverse affects of antipsychotics. CONCLUSIONS: These results may facilitate understanding of unknown molecular mechanisms behind schizophrenia symptoms and the molecular mechanisms of antipsychotic drugs.},
organization = {Acknowledgments. We would like to thank Noemi De la Fuente, Ana Berja, and Ines Santiuste for their help in the recruitment and preparation of the samples and the PAFIP crew for their help with data collection. We thank HUMV-IFIMAV biobank for providing the biological samples and associated data. We wish also to thank the participants and their families for enrolling in this study.
Bioinformatics work was partially performed using the Altamira supercomputer (Spanish Supercomputing Network). This
work was supported by the Spanish Ministry of Economy and Competitiveness (Proyects SAF2010-20840-C02-01 and SAF2010-20840-C02-02), Fundación Leonardo Torres Quevedo-Universidad de Cantabria (Exp.: FLTQ-2010), Foundation Ramón Areces,
and Instituto de Investigación Marqués de Valdecilla (Exp.: AIP2011-02).},
publisher = {Oxford University Press},
publisher = {International Journal of Neuropsychopharmacology . 2014 Oct 31;18(4). pii: pyu066},
title = {Schizophrenia gene expression profile reverted to normal levels by antipsychotics},
author = {Crespo Facorro, Benedicto and Prieto Sánchez, Carlos and Sainz Maza, Jesús Vicente},
}