Your browser doesn't support javascript.
loading
A perspective on epigenomic aging processes in the human brain and their plasticity in patients with mental disorders - a systematic review.
Postberg, Jan; Schubert, Michèle Tina; Nin, Vincent; Wagner, Lukas; Piefke, Martina.
Afiliación
  • Postberg J; Clinical Molecular Genetics and Epigenetics, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany. jan.postberg@uni-wh.de.
  • Schubert MT; Centre for Biomedical Education & Research (ZBAF), Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany. jan.postberg@uni-wh.de.
  • Nin V; Neurobiology and Genetics of Behavior, Department of Psychology and Psychotherapy, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
  • Wagner L; Neurobiology and Genetics of Behavior, Department of Psychology and Psychotherapy, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
  • Piefke M; Neurobiology and Genetics of Behavior, Department of Psychology and Psychotherapy, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
Neurogenetics ; 2024 Jul 05.
Article en En | MEDLINE | ID: mdl-38967831
ABSTRACT
The debate surrounding nature versus nurture remains a central question in neuroscience, psychology, and in psychiatry, holding implications for both aging processes and the etiology of mental illness. Epigenetics can serve as a bridge between genetic predisposition and environmental influences, thus offering a potential avenue for addressing these questions. Epigenetic clocks, in particular, offer a theoretical framework for measuring biological age based on DNA methylation signatures, enabling the identification of disparities between biological and chronological age. This structured review seeks to consolidate current knowledge regarding the relationship between mental disorders and epigenetic age within the brain. Through a comprehensive literature search encompassing databases such as EBSCO, PubMed, and ClinicalTrials.gov, relevant studies were identified and analyzed. Studies that met inclusion criteria were scrutinized, focusing on those with large sample sizes, analyses of both brain tissue and blood samples, investigation of frontal cortex markers, and a specific emphasis on schizophrenia and depressive disorders. Our review revealed a paucity of significant findings, yet notable insights emerged from studies meeting specific criteria. Studies characterized by extensive sample sizes, analysis of brain tissue and blood samples, assessment of frontal cortex markers, and a focus on schizophrenia and depressive disorders yielded particularly noteworthy results. Despite the limited number of significant findings, these studies shed light on the complex interplay between epigenetic aging and mental illness. While the current body of literature on epigenetic aging in mental disorders presents limited significant findings, it underscores the importance of further research in this area. Future studies should prioritize large sample sizes, comprehensive analyses of brain tissue and blood samples, exploration of specific brain regions such as the frontal cortex, and a focus on key mental disorders. Such endeavors will contribute to a deeper understanding of the relationship between epigenetic aging and mental illness, potentially informing novel diagnostic and therapeutic approaches.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Neurogenetics Asunto de la revista: GENETICA / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Neurogenetics Asunto de la revista: GENETICA / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Alemania