Association of astrocyte-specific gene expression in the dorsolateral prefrontal cortex with clozapine treatment in schizophrenia.

Gene expression profiling studies could be a valuable tool in identifying the specific genes and pathways involved in the mechanism of action of clozapine, leading to a better understanding of the molecular biology underlying treatment-resistant schizophrenia (TRS). We aimed to identify the co-expre...

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Detalles Bibliográficos
Autores: Prohens Coll, Llucia, Rodríguez Ferret, Natalia, Gonzalez Segura, Àlex, Martínez Pinteño, Albert, Olivares Berjaga, David, Martínez Martín, Irene, Mezquida Mateos, Gisela, Santas Martín, Jon A., Morentín, Benito, Meana, J. Javier, Callado, Luis F., Gassó Astorga, Patricia, Rivero Calera, Guadalupe, Mas Herrero, Sergi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/227709
Acceso en línea:https://hdl.handle.net/2445/227709
Access Level:acceso abierto
Palabra clave:Esquizofrènia
Farmacologia
Expressió gènica
Schizophrenia
Pharmacology
Gene expression
Descripción
Sumario:Gene expression profiling studies could be a valuable tool in identifying the specific genes and pathways involved in the mechanism of action of clozapine, leading to a better understanding of the molecular biology underlying treatment-resistant schizophrenia (TRS). We aimed to identify the co-expressed modules that reflect the genetic differences between clozapine-treated and non-clozapine-treated patients with schizophrenia as a proxy of TRS. Gene expression of DLPFC samples from 26 subjects with schizophrenia (13 clozapine treated and 13 non-clozapine treated) were analyzed using Clariom S Human Array. Weighted gene coexpression network analysis (WGCNA) was applied to identify modules of co-expressed genes and to test its association with clozapine treatment. As a result of our analysis of the gene co-expression architecture in the DLPFC, among the 13 modules identified, one module (green) was significantly associated with clozapine treatment (p = 3.7 × 10−2). This module was significantly enriched in astrocyte markers (5.7 × 10−29) and genes involved in the polygenic architecture of TRS (1.6 × 10−2). This finding provides cell type-specific associations that could help in the interpretation of the neurobiological basis of TRS. A better understanding of the specific DLPFC cell types involved in clozapine treatment will contribute to the study of potential pathways and ultimately help improve psychiatric classification tools in personalized medicine.