A longitudinal study of gene expression in first-episode schizophrenia; exploring relapse mechanisms by co-expression analysis in peripheral blood

Gassó P. ; Rodríguez N. ; Martínez-Pinteño A. ; Mezquida G. ; Ribeiro M. ; González-Peñas J. ; Zorrilla I. ; Martínez-Sadurni L. ; Rodriguez-Jimenez R. ; Corripio I. ; Sarró S. ; Ibáñez A. ; Usall J. ; Lobo Satué A. (Universidad de Zaragoza) ; Moren C. ; Cuesta M.J. ; Parellada M. ; González-Pinto A. ; Berrocoso E. ; Bernardo M. ; Mas S. ; Bioque M. ; Amoretti S. ; Andreu-Bernabeu A. ; Gurriarán X. ; Alonso-Solís A. ; Grasa E. ; López P. ; Garcia E. ; Bergé D. ; Trabsa A. ; Sànchez-Pastor L. ; Jiménez-Rodríguez O. ; Pomarol-Clotet E. ; Feria-Raposo I. ; Butjosa A. ; Pardo M. ; Moreno-Izco L. ; Sánchez-Torres A.M. ; Saiz-Ruiz J. ; León-Quismondo L. ; Nacher J. ; Contreras F. ; De-la-Cámara C. ; Gutiérrez M. ; Sáiz P.A. ; 2EPs Group

Resumen: Little is known about the pathophysiological mechanisms of relapse in first-episode schizophrenia, which limits the study of potential biomarkers. To explore relapse mechanisms and identify potential biomarkers for relapse prediction, we analyzed gene expression in peripheral blood in a cohort of first-episode schizophrenia patients with less than 5 years of evolution who had been evaluated over a 3-year follow-up period. A total of 91 participants of the 2EPs project formed the sample for baseline gene expression analysis. Of these, 67 provided biological samples at follow-up (36 after 3 years and 31 at relapse). Gene expression was assessed using the Clariom S Human Array. Weighted gene co-expression network analysis was applied to identify modules of co-expressed genes and to analyze their preservation after 3 years of follow-up or at relapse. Among the 25 modules identified, one module was semi-conserved at relapse (DarkTurquoise) and was enriched with risk genes for schizophrenia, showing a dysregulation of the TCF4 gene network in the module. Two modules were semi-conserved both at relapse and after 3 years of follow-up (DarkRed and DarkGrey) and were found to be biologically associated with protein modification and protein location processes. Higher expression of DarkRed genes was associated with higher risk of suffering a relapse and early appearance of relapse (p = 0.045). Our findings suggest that a dysregulation of the TCF4 network could be an important step in the biological process that leads to relapse and suggest that genes related to the ubiquitin proteosome system could be potential biomarkers of relapse. © 2021, The Author(s).

Idioma: Inglés

DOI: 10.1038/s41398-021-01645-8

Año: 2021

Publicado en: Translational Psychiatry 11 (2021), 539 [9 pp]
ISSN: 2158-3188

Factor impacto JCR: 7.989 (2021)

Categ. JCR: PSYCHIATRY rank: 24 / 157 = 0.153 (2021) - Q1 - T1

Factor impacto CITESCORE: 8.5 - Neuroscience (Q1) - Medicine (Q1)

Factor impacto SCIMAGO: 2.076 - Cellular and Molecular Neuroscience (Q1) - Biological Psychiatry (Q1)

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Area Psiquiatría (Dpto. Medicina, Psiqu. y Derm.)