Evidence map›Paper›PMID 28687792›Full record

ArticleScientific reports2017

MALDI-TOF MS as a Novel Tool for the Estimation of Postmortem Interval in Liver Tissue Samples.

Chengzhi Li, Zhengdong Li, Ya Tuo, Dong Ma, Yan Shi, Qinghua Zhang, Xianyi Zhuo, Kaifei Deng, Yijiu Chen, Zhenyuan Wang and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. "Omics" and Postmortem Interval Estimation: A Systematic Review.International journal of molecular sciences · 2025
    Pooled it
  4. Review
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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

11 authors.

Chengzhi LiSchool of Forensic Science and Medicine, Xi'an Jiaotong University, Xi'an, 710061, China.
Zhengdong LiShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, China.
Ya TuoDepartment of Biochemistry and Physiology, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Dong MaShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
Yan ShiShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
Qinghua ZhangShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
Xianyi ZhuoShanghai Key Laboratory of Forensic Science, Institute of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
Kaifei DengShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, China.
Yijiu ChenShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, China.
Zhenyuan WangSchool of Forensic Science and Medicine, Xi'an Jiaotong University, Xi'an, 710061, China. wzy218@mail.xjtu.edu.cn.
Ping HuangShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, Shanghai, 200063, China. huangp@ssfjd.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimation of the postmortem interval (PMI) is a complicated task in forensic medicine, especially during homicide and unwitnessed death investigations. Many biological, chemical, and physical indicators can be used to determine the postmortem interval, but most are not accurate. Here, we present a novel matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) method that can be used for the estimation of PMI using molecular images and multivariate analyses. In this study, we demonstrate that both rat and human liver tissues of various PMIs (0, 2, 4, and 6days) can be discriminated using MALDI imaging and principal component analysis (PCA). Using genetic algorithm (GA), supervised neural network (SNN), and quick classifier (QC) methods, we built 6 classification models, which showed high recognition capability and good cross-validation. The histological changes in all the samples at different time points were also consistent with the changes seen in MALDI imaging. Our work suggests that MALDI-TOF MS, along with multivariate analysis, can be used to determine intermediate PMIs.

Indexed as

Postmortem ChangesAnimalsAutopsyForensic MedicineLiverRatsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTime Factors

Identifiers

PMID28687792
PMCPMC5501804

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Registered trials

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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.