Evidence map›Paper›PMID 28032211›Full record

ArticleForensic science, medicine, and pathology2017

Estimation of the human postmortem interval using an established rat mathematical model and multi-RNA markers.

Ye-Hui Lv, Jian-Long Ma, Hui Pan, Yan Zeng, Li Tao, Heng Zhang, Wen-Can Li, Kai-Jun Ma, Long Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Forensic science, medicine, and pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 19% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review of the current and potential use of biological and molecular methods for the estimation of the postmortem interval in animals and humans.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2023
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

9 authors at 3 institutions in 1 country.

Ye-Hui LvDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131 Dongan Road, Shanghai, 200032, People's Republic of China.
Jian-Long MaDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131 Dongan Road, Shanghai, 200032, People's Republic of China.
Hui PanDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131 Dongan Road, Shanghai, 200032, People's Republic of China.
Yan ZengDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131 Dongan Road, Shanghai, 200032, People's Republic of China.
Li TaoDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131 Dongan Road, Shanghai, 200032, People's Republic of China.
Heng ZhangDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131 Dongan Road, Shanghai, 200032, People's Republic of China.
Wen-Can LiShanghai Public Security Bureau, Pudong Branch, 655 Dingxiang Road, Shanghai, 200032, People's Republic of China.
Kai-Jun MaForensic Lab, Criminal Science and Technology Institute, Shanghai Public Security Bureau, 803 North Zhongshan Road, Shanghai, 200082, People's Republic of China.
Long ChenDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131 Dongan Road, Shanghai, 200032, People's Republic of China. chenlong@shmu.edu.cn.
Fudan University · CNShanghai Public Security Bureau · CNShanghai University of Medicine and Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our previous study, a R code-based mathematical model using RNA degradation patterns was developed for PMI determination in rat brain specimens. However, the postmortem changes of RNA are much more complicated in real cases, and there is still a huge challenge in efficiently applying information in animal data to real cases. In the present study, different RNA markers in both rat and human tissues were collected to screen valid biomarkers and the corresponding mathematical models were established and validated. With the same methodology, multi-RNA markers of myocardium and liver tissues were detected by qPCR and the Ct values of ten biomarkers generally increased with prolonged PMIs. 5S, miR-1 and miR-133a were shown to be optimum reference biomarkers that were not affected by a PMI of up to 5 or more days; however, liver-specific miR-122 began to degrade under higher temperatures and only 5S was selected as an endogenous control in the liver. Among the tested target RNAs, similar to our previous study in brain tissue, β-actin (ΔCt) was found to exhibit the best correlation coefficient with PMI and was employed to build mathematical models using R software. Following validation, the relatively low estimated error demonstrated that PMIs can be accurately predicted in human cases through comprehensive consideration of various factors and using effective biomarkers.

Indexed as

Postmortem ChangesActinsAdultAnimalsElectrophoresisFemaleGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)HumansLiverMaleMicroRNAsMiddle AgedModels, TheoreticalMyocardiumRatsReal-Time Polymerase Chain ReactionActinsGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)MicroRNAsMIRN133 microRNA, humanMIRN1 microRNA, humanRibosomal ProteinsRNA, Ribosomal, 18SRNA, Ribosomal, 5SForensic scienceMathematical modelPostmortem interval (PMI)Real-time quantitative polymerase chain reaction (RT-qPCR)RNA degradation

Identifiers

PMID28032211
OpenAlexW2566174489

What OpenQuestion 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 OpenQuestion graph.