Evidence map›Paper›PMID 40956438›Full record

ArticleInternational journal of legal medicine2026

Cell free DNA and MiRNA analysis by quantitative Real-Time polymerase chain reaction in postmortem interval determination.

Duygu Yavuz-Kilicaslan, Emrah Emiral, N Lale Satiroglu-Tufan

Abstract read
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In one paragraph

Article 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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Duygu Yavuz-KilicaslanGendarmerie and Coast Guard Academy, Department of Security Sciences, İncek Şehit Savcı Mehmet Selim Kiraz Bulvarı, Çankaya, Ankara, 06805, Turkey.ORCID http://orcid.org/0000-0002-7969-2980
Emrah EmiralAnkara University School of Medicine, Department of Forensic Medicine, Dikimevi, Ankara, 06590, Turkey.ORCID http://orcid.org/0000-0003-2464-7039
N Lale Satiroglu-TufanAnkara University School of Medicine, Department of Forensic Medicine, Dikimevi, Ankara, 06590, Turkey. ltufan@ankara.edu.tr.ORCID http://orcid.org/0000-0001-9399-0960

Funding

Ankara Universitesi 22L0230005
6 · The paper itself

Abstract

The time elapsed after death is known as the postmortem interval (PMI). After death, the body undergoes changes such as algor mortis, rigor mortis, livor mortis, and putrefaction. In forensic medicine, PMI is traditionally determined using standard methods and forensic entomology, both of which can be affected by environmental conditions. Recently, genetic materials, which are less influenced by the environment, have gained attention in PMI studies. Cell-free DNA (cfDNA) comprises short DNA fragments released into the bloodstream due to cell necrosis and apoptosis. This study quantitatively analyzed cfDNA and specific microRNAs (miRNAs) - miR-122, miR-133, miR-1, miR-16, and let-7e - in serum samples from rats at various time intervals to assess their correlation with PMI. The results were analyzed using Ct, ΔCt, ΔΔCt, and fold change methods. Statistically, miR-16 and miR-122 had lower ΔCt values at all time points. miR-16 showed a lower ΔΔCt average at 24 and 48 h and the highest fold change at 24 h. Reference genes GAPDH and ACTB declined over time, with higher averages at 0, 6, and 12 h compared to 24 and 48 h. This research is the first to quantitatively explore cfDNA's potential role in PMI estimation.

Indexed as

Cell-Free Nucleic AcidsMicroRNAsPostmortem ChangesAnimalsForensic GeneticsMaleRatsReal-Time Polymerase Chain ReactionCell-Free Nucleic AcidsMicroRNAsCell-free DNAForensic biologyMicroRNAPostmortem intervalQPCRTime of death

Identifiers

What OpenQuestion holds

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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 OpenQuestion graph.