Evidence map›Paper›PMID 39838666›Full record

SynthesisCurrent neuropharmacology2025

Integrating Forensic Autopsies with Proteomic Profiling for Suicide Risk Assessment: A Comprehensive Review of Literature.

Ibrahim Hasan Al-Habash, Asma Mahmoud Alshaeb, Viktorija Belakaposka Srpanova, Djordje Alempijevic, Milica Keckarevic-Markovic, Monica Concato, Davide Radaelli, Stefano D'Errico

Abstract readSystematic Review
In one paragraph

Synthesis in Current neuropharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ibrahim Hasan Al-HabashForensic Medicine Department, Mutah University, Karak, Jordan.
Asma Mahmoud AlshaebForensic Medicine Center, Ministry of Interior, Doha, State of Qatar.
Viktorija Belakaposka SrpanovaInstitute for Forensic Medicine, Criminalistic and Medical Deontology, Medical Faculty, Skopje, R. Macedonia.
Djordje AlempijevicInstitute of Forensic Medicine 'Milovan Milovanovic', Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Milica Keckarevic-MarkovicDepartment of Biochemistry and Molecular Biology, Faculty of Biology, Center for Applied and Forensic Molecular Genetics, University of Belgrade, Belgrade, Serbia.
Monica ConcatoDepartment of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy.
Davide RadaelliDepartment of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy.
Stefano D'ErricoDepartment of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicide 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.

objectiveThe 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.

methodsAn 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.

resultsA 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.

conclusionThis 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.

Indexed as

ProteomicsSuicideAutopsyBiomarkersHumansRisk AssessmentBiomarkersautopsybiomarkerspostmortemprofiling.Proteomicsrisk assessmentsuicide

Identifiers

PMID39838666
PMCPMC12606661

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.