A meta-study on transcription factor networks in the suicidal brain


Por: Cabrera-Mendoza, Brenda, de Anda-Jauregui, Guillermo, Nicolini, Humberto, Fresno, Cristobal

Publicada: 1 abr 2021
Resumen:
There is evidence supporting the presence of brain gene expression differences between suicides and nonsuicides. Such differences have been implicated in suicide pathophysiology. However, regulatory factors underlying these gene expression differences have not been fully understood. Therefore, the identification of differences in regulatory mechanisms, i.e., transcriptional factors between suicides and non-suicides is crucial for the understanding of suicide neurobiology. In this study, we conducted a transcription factor network meta-study with freely available data from the prefrontal cortex of suicides and non-suicides with different mental disorders, including major depression disorder, bipolar disorder and schizophrenia, as well as healthy controls. Disorderspecific characteristics of suicides and non-suicides transcription factor networks were detected, i.e., the presence of immune response genes in both suicides and non-suicides with major depression disorder networks. Also, we found the presence of ESR1, which has been implicated to give resilience to social stress, in the non-suicides network but not in the suicides with major depression network. Suicides and non-suicides with bipolar disorder shared only three genes in common: FOS, CRY1 and PER2. In addition, we found a higher number of genes involved in immune response in the non-suicides with bipolar disorder compared to the suicides with bipolar disorder network. The suicides and non-suicides with schizophrenia networks exhibited clear differences, including the presence of circadian cycle genes in the suicides with schizophrenia network and their absence in the non-suicides with schizophrenia network. The results of this study provide insight on the regulatory mechanisms underpinning transcriptional changes in the suicidal brain.

Filiaciones:
Laboratorio de Genómica de Enfermedades Psiquiátricas, Neurodegenerativas y Adicciones, National Institute of Genomic Medicine (INMEGEN), Mexico City, 14610, Mexico
Plan of Combined Studies in Medicine (PECEM), Facultad de Medicina, National Autonomous University of Mexico, Mexico City, 04510, Mexico
Departamento de Genómica Computacional, National Institute of Genomic Medicine (INMEGEN), Mexico City, 14610, Mexico
Programa de Cátedras CONACYT para Jóvenes Investigadores, Mexico City, 03940, Mexico
Departamento de Desarrollo Tecnológico, National Institute of Genomic Medicine (INMEGEN), Mexico City, 14610, Mexico
Natl Inst Genom Med INMEGEN, Lab Genom Enfermedades Psiquiatr Neurodegenerat &, Mexico City 14610, DF, Mexico
Univ Nacl Autonoma Mexico, Fac Med, Plan Combined Studies Med PECEM, Mexico City 04510, DF, Mexico
Natl Inst Genom Med INMEGEN, Dept Genom Computac, Mexico City 14610, DF, Mexico
Programa Catedras CONACYT Jovenes Invest, Mexico City 03940, DF, Mexico
Natl Inst Genom Med INMEGEN, Dept Desarrollo Tecnol, Perifer Sur 4809, Mexico City 14610, DF, Mexico
ISSN: 00223956





JOURNAL OF PSYCHIATRIC RESEARCH
Editorial
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 136 Número:
Páginas: 23-31
WOS Id: 000634104500004
ID de PubMed: 33548827

MÉTRICAS