SynthesisInternational journal of molecular sciences2024
microRNAs as New Biomolecular Markers to Estimate Time since Death: A Systematic Review.
Synthesis in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Applications of Raman spectroscopy in the post-mortem interval estimation: a systematic literature review.International journal of legal medicine · 2026Pooled it
- Forensic applications of postmortem protein analysis in estimating the time since death: a systematic review.International journal of legal medicine · 2026Pooled it
- MicroRNAs in Cardiovascular Diseases and Forensic Applications: A Systematic Review of Diagnostic and Post-Mortem Implications.International journal of molecular sciences · 2026Pooled it
- Special Issue "Advances in Molecular Forensic Pathology and Toxicology: An Update".International journal of molecular sciences · 2026Article
- Endogenous and Exogenous Small RNA Signatures as Novel Tools for Postmortem Interval Determination.Biomolecules · 2026Article
- Molecular biology research progress in post-mortem interval (PMI) estimation in forensic medicine.International journal of legal medicine · 2026Review
- Evaluation of RNA Stability and Molecular Biomarkers for Post-Mortem Interval Estimation in Rat Organs.International journal of molecular sciences · 2025Article
- Current Understanding and Future Research Direction for Estimating the Postmortem Interval: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025Review
- Postmortem Changes in mRNA Expression and Tissue Morphology in Brain and Femoral Muscle Tissues of Rat.International journal of molecular sciences · 2025Article
- RedefiningFrontiers in microbiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estimating the post-mortem interval is still one of the most complex challenges in forensics. In fact, the main tools currently used are burdened by numerous limitations, which sometimes allow the time of death to be placed only within too large time intervals. In recent years, researchers have tried to identify new tools to try to narrow down the interval within which to place the time of death; among these, the analysis of microRNAs seems to be promising. An evidence-based systematic review of the literature has been conducted to evaluate the state of the art of knowledge, focusing on the potential correlation between miRNA degradation and PMI estimation. The research has been performed using the electronic databases PubMed, Scopus, and WOS. The results allowed us to highlight the usefulness of miRNAs both as markers for PMI estimation and for normalization, especially due to their stability. In fact, some miRNAs remain particularly stable for long periods and in different tissues, while others degrade faster. Furthermore, there are numerous factors capable of influencing the behavior of these molecules, among which the type of tissue, the cause of death, and the circadian rhythm appear to be the most relevant. Despite the promising results of the few articles present in the literature, because of the numerous limitations they are burdened by, further research is still necessary to achieve more solid and shareable results.
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Registered trials
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.