» Articles » PMID: 35383147

Proteomic Profiling of Postmortem Prefrontal Cortex Tissue of Suicide Completers

Overview
Date 2022 Apr 6
PMID 35383147
Authors
Affiliations
Soon will be listed here.
Abstract

Suicide is a leading cause of death worldwide, presenting a serious public health problem. We aimed to investigate the biological basis of suicide completion using proteomics on postmortem brain tissue. Thirty-six postmortem brain samples (23 suicide completers and 13 controls) were collected. We evaluated the proteomic profile in the prefrontal cortex (Broadmann area 9, 10) using tandem mass tag-based quantification with liquid chromatography-tandem mass spectrometry. Bioinformatics tools were used to elucidate the biological mechanisms related to suicide. Subgroup analysis was conducted to identify common differentially expressed proteins among clinically different groups. Of 9801 proteins identified, 295 were differentially expressed between groups. Suicide completion samples were mostly enriched in the endocannabinoid and apoptotic pathways (CAPNS1, CSNK2B, PTP4A2). Among the differentially expressed proteins, GSTT1 was identified as a potential biomarker among suicide completers with psychiatric disorders. Our findings suggest that the previously under-recognized endocannabinoid system and apoptotic processes are highly involved in suicide.

Citing Articles

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

Rojo-Romero M, Gutierrez-Najera N, Cruz-Fuentes C, Romero-Pimentel A, Mendoza-Morales R, Garcia-Dolores F Front Psychiatry. 2025; 15:1429953.

PMID: 40051599 PMC: 11882514. DOI: 10.3389/fpsyt.2024.1429953.


A multi-tissue longitudinal proteomics study to evaluate the suitability of post-mortem samples for pathophysiological research.

Beusch C, Braesch-Andersen K, Felldin U, Sabatier P, Widgren A, Bergquist J Commun Biol. 2025; 8(1):78.

PMID: 39824970 PMC: 11742016. DOI: 10.1038/s42003-025-07515-z.


High-throughput proteomics-guided biomarker discovery of hepatocellular carcinoma.

Shin D, Kim Y, Park J, Kim Y Biomed J. 2024; 48(1):100752.

PMID: 38901798 PMC: 11743302. DOI: 10.1016/j.bj.2024.100752.


Network analysis of plasma proteomes in affective disorders.

Rhee S, Shin D, Shin D, Song Y, Joo E, Jung H Transl Psychiatry. 2023; 13(1):195.

PMID: 37296094 PMC: 10256808. DOI: 10.1038/s41398-023-02485-4.

References
1.
Brent D, Oquendo M, Birmaher B, Greenhill L, Kolko D, Stanley B . Familial transmission of mood disorders: convergence and divergence with transmission of suicidal behavior. J Am Acad Child Adolesc Psychiatry. 2004; 43(10):1259-66. DOI: 10.1097/01.chi.0000135619.38392.78. View

2.
McGirr A, Alda M, Seguin M, Cabot S, Lesage A, Turecki G . Familial aggregation of suicide explained by cluster B traits: a three-group family study of suicide controlling for major depressive disorder. Am J Psychiatry. 2009; 166(10):1124-34. DOI: 10.1176/appi.ajp.2009.08111744. View

3.
Brent D, Bridge J, Johnson B, Connolly J . Suicidal behavior runs in families. A controlled family study of adolescent suicide victims. Arch Gen Psychiatry. 1996; 53(12):1145-52. DOI: 10.1001/archpsyc.1996.01830120085015. View

4.
Tidemalm D, Runeson B, Waern M, Frisell T, Carlstrom E, Lichtenstein P . Familial clustering of suicide risk: a total population study of 11.4 million individuals. Psychol Med. 2011; 41(12):2527-34. PMC: 3207221. DOI: 10.1017/S0033291711000833. View

5.
Arango V, Underwood M, Mann J . Serotonin brain circuits involved in major depression and suicide. Prog Brain Res. 2002; 136:443-53. DOI: 10.1016/s0079-6123(02)36037-0. View