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Suicide and suicide behaviors: A review of transcriptomics and multiomics studies in psychiatric disorders.
Zhou, Yi; Lutz, Pierre-Eric; Ibrahim, El Chérif; Courtet, Philippe; Tzavara, Eleni; Turecki, Gustavo; Belzeaux, Raoul.
Afiliación
  • Zhou Y; McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montréal, Canada.
  • Lutz PE; Centre National de la Recherche Scientifique, Institut des Neurosciences Cellulaires et Intégratives, CNRS UPR 3212, Strasbourg, France.
  • Ibrahim EC; Institut de Neurosciences de la Timone - UMR7289,CNRS Aix-Marseille Université, Marseille, France.
  • Courtet P; Fondamental, Fondation de Recherche et de Soins en Santé Mentale, Créteil, France.
  • Tzavara E; Fondamental, Fondation de Recherche et de Soins en Santé Mentale, Créteil, France.
  • Turecki G; CHRU Montpellier, University of Montpellier, INSERM unit 1061, Montpellier, France.
  • Belzeaux R; Fondamental, Fondation de Recherche et de Soins en Santé Mentale, Créteil, France.
J Neurosci Res ; 98(4): 601-615, 2020 04.
Article en En | MEDLINE | ID: mdl-30561057
Aberrant gene expression can contribute to brain and nervous system dysfunction that causes many psychiatric illnesses. Here, we review how transcriptomic approaches have deepened our understanding of the neurobiological underpinnings of psychiatric disorders and how they have to the identification of biomarkers for these disorders, with a focus on their relevance to suicide and suicide behaviors. We begin by providing an overview of the genetic, transcriptomic, and epigenetic factors (including non-coding RNAs) implicated in suicide and their roles in the regulation of gene expression. Then, we highlight the unique benefits and limitations of using either postmortem brain or peripheral tissues in transcriptomic analyses. We examine the current shift from candidate gene to genome-wide approaches in psychiatric research, which are concurrently emerging with the increased consideration of the Research Domain Criteria (RDoC) framework for classifying mental illnesses. Furthermore, we discuss the use of transcription networks and how they can be integrated into multiomic analyses. Finally, we end by highlighting recent findings of peripheral markers of suicide risk identified through the use of transcriptomic tools. Technological advancements and increased accessibility of these technologies are drastically shaping the current research landscape. We present an overview of the significant changes currently taking place to usher in a new era of psychiatric research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suicidio / Encéfalo / Perfilación de la Expresión Génica / Transcriptoma / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Neurosci Res Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suicidio / Encéfalo / Perfilación de la Expresión Génica / Transcriptoma / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Neurosci Res Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos