Evidence map›Paper›PMID 41622352›Full record

SynthesisInternational journal of legal medicine2026

Forensic applications of postmortem protein analysis in estimating the time since death: a systematic review.

Vincenzo Cianci, Tony Fracasso, Antonino Germanà, Daniela Sapienza, Patrizia Gualniera, Alessio Asmundo, Cristina Mondello

Abstract readSystematic ReviewReview
PubMed Publisher
In one paragraph

Synthesis in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Vincenzo CianciDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Legal Medicine, University of Messina, Messina, Italy. enzocianci.1997@gmail.com.ORCID http://orcid.org/0009-0003-1274-3514
Tony FracassoUniversity Center of Legal Medicine Lausanne - Geneva, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Antonino GermanàZebrafish Neuromorphology Lab, Department of Veterinary Sciences, Via Palatucci snc, University of Messina, 98168, Messina, Italy.
Daniela SapienzaDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Legal Medicine, University of Messina, Messina, Italy.
Patrizia GualnieraDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Legal Medicine, University of Messina, Messina, Italy.
Alessio AsmundoDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Legal Medicine, University of Messina, Messina, Italy.
Cristina MondelloDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Legal Medicine, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating the postmortem interval (PMI) represents one of the most complex challenges in forensic medicine, especially beyond the first hours after death, when traditional methods become unreliable. In recent years, attention has progressively shifted toward the study of biomolecular alterations, with particular interest in protein alterations. This systematic review has been conducted according to PRISMA guidelines, leading to the enrollment of 46 articles published between 2014 and 2025, regarding postmortem protein modifications in human and animal tissues and according to specific inclusion criteria. Skeletal muscle was the most studied tissue, due to its abundance and ease of sampling, with markers such as tropomyosin, desmin, vinculin, α-actin, and GAPDH showing well-defined degradation patterns that are little influenced by external factors such as the cause of death or environmental conditions. Differences related to muscle type, the presence of lesions, and intra and/or interindividual variables were found. Furthermore, proteomic analysis of other tissues, particularly heart and bone, highlighted distinct behaviors and potential applications for longer time periods. Therefore, trying to combine the data acquired from multiple proteins and tissues, could be a promising approach for increasing the reliability and accuracy for PMI estimation.

Indexed as

Postmortem ChangesProteinsProteomicsAnimalsBiomarkersForensic PathologyHumansMuscle, SkeletalMyocardiumBiomarkersProteinsForensic PathologyPMI estimationPostmortem protein degradationProtein degradationProteomics

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.