Evidence map›Paper›PMID 41483101›Full record

ReviewInternational journal of legal medicine2026

Postmortem interval estimation through skeletal muscle protein degradation: a comprehensive review.

Arun Kori, Aswini Chandran, Moirangthem Sangita, Jayanthi Yadav

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Review 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. 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

4 authors.

Arun KoriDepartment of Forensic Medicine and Toxicology, AIIMS Bhopal, Bhopal, India.ORCID http://orcid.org/0009-0007-0520-5151
Aswini ChandranDepartment of Forensic Medicine and Toxicology, AIIMS Bhopal, Bhopal, India.ORCID http://orcid.org/0009-0005-4331-4119
Moirangthem SangitaDepartment of Forensic Medicine and Toxicology, AIIMS Bhopal, Bhopal, India.ORCID http://orcid.org/0000-0002-2691-0534
Jayanthi YadavDepartment of Forensic Medicine and Toxicology, AIIMS Bhopal, Bhopal, India. jayanthi.fmt@aiimsbhopal.edu.in.ORCID http://orcid.org/0000-0002-2211-766X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postmortem interval (PMI) estimation is a pivotal challenge in forensic science, and skeletal muscle protein degradation has emerged as a promising biochemical tool. In this review, we conducted a comprehensive literature search of PubMed for studies published between 2014 and 2024 using keywords related to PMI estimation and protein/proteomics. Of the 287 results retrieved, 81 were available as free full-text articles, and 17 met the inclusion criteria focusing on skeletal muscle protein. The most used techniques were Western blotting, followed by mass spectrometry and immunohistochemistry. Frequently studied proteins included eEF1A2, desmin, GAPDH, α-actinin, vinculin, α-tubulin, and tropomyosin. Although protein degradation in muscle tissue shows significant potential for PMI estimation, relying on a single protein or a small group of proteins is insufficient due to variability introduced by environmental, individual, and species-specific factors. The study highlights the need for long-term, semi-controlled studies using human tissue, as well as further investigation of new candidate biomarkers and the stability of established markers across diverse PMI ranges and conditions. Comparative studies between animal and human data are vital for understanding species differences and ensuring reliable extrapolation. Moving forward, interdisciplinary and methodologically standardized approaches will be critical for integrating protein-based findings into routine forensic practice and achieving a robust, multifactorial method for PMI estimation.

Indexed as

Muscle ProteinsMuscle, SkeletalPostmortem ChangesProteolysisAnimalsBiomarkersBlotting, WesternForensic PathologyHumansImmunohistochemistryMass SpectrometryProteomicsBiomarkersMuscle ProteinsForensic sciencesPMI estimationProtein degradationSkeletal muscle

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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.