RT journal article
T1 Gene co-expression architecture in peripheral blood in a cohort of remitted first-episode schizophrenia patients
A1 Rodríguez, Natalia
A1 Gassó, P.
A1 Martínez-Pinteño, A.
A1 González Segura, Álex
A1 Mezquida, G.
A1 Moreno-Izco, Lucia
A1 González-Peñas, J.
A1 Zorrilla, Iñaki
A1 Martin, Marta
A1 Rodriguez-Jimenez, R.
A1 Corripio, I.
A1 Sarró, S.
A1 Ibáñez, A.
A1 Butjosa, Anna
A1 Contreras, Fernando
A1 Bioque, Miquel
A1 Cuesta, Manuel Jesús
A1 Parellada, M.
A1 González-Pinto, A.
A1 Berrocoso Domínguez, Esther María
A1 Bernardo, Miquel
A1 Mas, Sergi
A1 2EPS group
A2 Psicología
AB A better understanding of schizophrenia subtypes is necessary to stratify the patients according to clinical attributes. To explore thegenomic architecture of schizophrenia symptomatology, we analyzed blood co-expression modules and their association withclinical data from patients in remission after a first episode of schizophrenia. In total, 91 participants of the 2EPS project wereincluded. Gene expression was assessed using the Clariom S Human Array. Weighted-gene co-expression network analysis(WGCNA) was applied to identify modules of co-expressed genes and to test its correlation with global functioning, clinicalsymptomatology, and premorbid adjustment. Among the 25 modules identified, six modules were significantly correlated withclinical data. These modules could be clustered in two groups according to their correlation with clinical data. Hub genes in eachgroup showing overlap with risk genes for schizophrenia were enriched in biological processes related to metabolic processes,regulation of gene expression, cellular localization and protein transport, immune processes, and neurotrophin pathways. Ourresults indicate that modules with significant associations with clinical data showed overlap with gene sets previously identified indifferential gene-expression analysis in brain, indicating that peripheral tissues could reveal pathogenic mechanisms. Hub genesinvolved in these modules revealed multiple signaling pathways previously related to schizophrenia, which may represent thecomplex interplay in the pathological mechanisms behind the disease. These genes could represent potential targets for thedevelopment of peripheral biomarkers underlying illness traits in clinical remission stages after a first episode of schizophrenia.
PB NATURE PORTFOLIO
YR 2022
FD 2022-04
LK http://hdl.handle.net/10498/27853
UL http://hdl.handle.net/10498/27853
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 12-nov-2026