Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide.

Journal: Frontiers in psychiatry
Published Date:

Abstract

INTRODUCTION: Suicide is a significant public health problem, with increased rates in low- and middle-income countries such as Mexico; therefore, suicide prevention is important. Suicide is a complex and multifactorial phenomenon in which biological and social factors are involved. Several studies on the biological mechanisms of suicide have analyzed the proteome of the dorsolateral prefrontal cortex (DLPFC) in people who have died by suicide. The aim of this work was to analyze the protein expression profile in the DLPFC of individuals who died by suicide in comparison to age-matched controls in order to gain information on the molecular basis in the brain of these individuals and the selection of potential biomarkers for the identification of individuals at risk of suicide. In addition, this information was analyzed using machine learning (ML) algorithms to propose a model for predicting suicide.

Authors

  • Manuel Alejandro Rojo-Romero
    Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico.
  • Nora Andrea Gutiérrez-Nájera
    Psychiatric and Neurodegenerative Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico.
  • Carlos Sabás Cruz-Fuentes
    National Institute of Psychiatry "Ramón de la Fuente Muñíz", Mexico City, Mexico.
  • Ana Luisa Romero-Pimentel
    Psychiatric and Neurodegenerative Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico.
  • Roberto Mendoza-Morales
    Institute of Expert Services and Forensic Sciences of Mexico City (INCIFO), Mexico City, Mexico.
  • Fernando García-Dolores
    Institute of Expert Services and Forensic Sciences of Mexico City (INCIFO), Mexico City, Mexico.
  • Mirna Edith Morales-Marín
    Psychiatric and Neurodegenerative Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico.
  • Xóchitl Castro-Martínez
    Psychiatric and Neurodegenerative Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico.
  • Elier González-Sáenz
    National Institute for Elderly, Mexico City, Mexico.
  • Jonatan Torres-Campuzano
    Psychiatric and Neurodegenerative Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico.
  • Tania Medina-Sánchez
    National Institute of Psychiatry "Ramón de la Fuente Muñíz", Mexico City, Mexico.
  • Karla Hernández-Fonseca
    National Institute of Psychiatry "Ramón de la Fuente Muñíz", Mexico City, Mexico.
  • Humberto Nicolini-Sánchez
    Psychiatric and Neurodegenerative Diseases Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico.
  • Luis Felipe Jiménez-García
    Cell Nanobiology Laboratory, Faculty of Sciences, National Autonomous University of Mexico, Mexico City, Mexico.

Keywords

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