ArticleTranslational psychiatry2022
Proteomic profiling of postmortem prefrontal cortex tissue of suicide completers.
Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrating Forensic Autopsies with Proteomic Profiling for Suicide Risk Assessment: A Comprehensive Review of Literature.Current neuropharmacology · 2025Pooled it
- Epigenetic Evidence Implies Disturbed Proteostasis and Potentially Protein Aggregation in Suicidality.Biomolecules · 2026Review
- Altered proteomics in brain extracellular vesicles from depressed individuals who died by suicide implicates synaptic processes.The international journal of neuropsychopharmacology · 2025Article
- A multi-tissue longitudinal proteomics study to evaluate the suitability of post-mortem samples for pathophysiological research.Communications biology · 2025Article
- Proteome analysis of the prefrontal cortex and the application of machine learning models for the identification of potential biomarkers related to suicide.Frontiers in psychiatry · 2024Article
- Network analysis of plasma proteomes in affective disorders.Translational psychiatry · 2023Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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