Suicide is a major global public health concern that affects people of all ages, with over 700000 individuals intentionally ending their lives every year. Suicide is a multifactorial event related to multiple risk factors interlocking with each other, among which neurobiological factors are considered to be an objective measure of the incidence of this phenomenon and can be used as a measurable tool for evaluating suicidal tendencies. The aim of this study is to thoroughly examine available data and assess candidate proteins as prospective biomarkers for predicting suicides and ascertaining the manner of death in forensic cases. An electronic search was conducted on PubMed, Science Direct Scopus, and the Excerpta Medica Database. The systematic review adhered to PRISMA guidelines and encompassed case series, prospective and retrospective studies, and short communications published in English. The focus was on proteomics and suicide, specifically, those studies where researchers conducted human proteomic analyses on specimens obtained from individuals who completed or attempted suicide. A total of 14 studies met the inclusion criteria, resulting in a dataset of numerous candidate protein biomarkers. These include tenascin-C, potassium voltage-gated channel subfamily Q member 3, vimentin-immunoreactive astrocytes, glutathione S-transferase theta 1, iron transport proteins, Acrystallin chain B, manganese superoxide dismutase, glial fibrillary acidic protein, various glycolytic pathway proteins, 14-3-3 eta and 14-3-3 theta proteins, specific cytoskeleton proteins, C-reactive protein, serum amyloid A protein 1, extrinsic coagulation pathway proteins, the vacuolar-type proton pump ATPase subunit, plasma apolipoprotein A-IV, and ER stress proteins. These proteins are proposed as a panel of biomarkers to be evaluated in conjunction with other clinical predictors of suicide. This review aims to provide a comprehensive summary of all proteomic studies conducted on cases of attempted or completed suicide. By doing so, it seeks to bridge existing gaps in knowledge and pave the way for future investigations. The ultimate goal is to potentially identify a suicide biomarker.
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