Evidence map›Paper›PMID 36676951›Full record

ArticleMetabolites2022

In Vitro Animal Model for Estimating the Time since Death with Attention to Early Postmortem Stage.

Michal Szeremeta, Paulina Samczuk, Karolina Pietrowska, Tomasz Kowalczyk, Katarzyna Przeslaw, Julia Sieminska, Adam Kretowski, Anna Niemcunowicz-Janica, Michal Ciborowski

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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 1 institution in 1 country.

Michal SzeremetaDepartment of Forensic Medicine, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0001-5845-0053
Paulina SamczukMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland.
Karolina PietrowskaMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-6639-2823
Tomasz KowalczykMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-3979-8801
Katarzyna PrzeslawDepartment of Physical Chemistry, Medical University of Bialystok, 15-328 Bialystok, Poland.
Julia SieminskaMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-4340-0085
Adam KretowskiMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-4522-4978
Anna Niemcunowicz-JanicaDepartment of Forensic Medicine, Medical University of Bialystok, 15-269 Bialystok, Poland.ORCID 0000-0003-2807-8312
Michal CiborowskiMetabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0003-3729-0518
Medical University of Białystok · PL

Funding

Natonial Science Center, Poland 2017/27/N/NZ7/03136
6 · The paper itself

Abstract

Estimating the postmortem interval (PMI) has remained the subject of investigations in forensic medicine for many years. Every kind of death results in changes in metabolites in body tissues and fluids due to lack of oxygen, altered circulation, enzymatic reactions, cellular degradation, and cessation of anabolic production of metabolites. Metabolic changes may provide markers determining the time since death, which is challenging in current analytical and observation-based methods. The study includes metabolomics analysis of blood with the use of an animal model to determine the biochemical changes following death. LC-MS is used to fingerprint postmortem porcine blood. Metabolites, significantly changing in blood after death, are selected and identified using univariate statistics. Fifty-one significant metabolites are found to help estimate the time since death in the early postmortem stage. Hypoxanthine, lactic acid, histidine, and lysophosphatidic acids are found as the most promising markers in estimating an early postmortem stage. Selected lysophosphatidylcholines are also found as significantly increased in blood with postmortal time, but their practical utility as PMI indicators can be limited due to a relatively low increasing rate. The findings demonstrate the great potential of LC-MS-based metabolomics in determining the PMI due to sudden death and provide an experimental basis for applying this attitude in investigating various mechanisms of death. As we assume, our study is also one of the first in which the porcine animal model is used to establish PMI metabolomics biomarkers.

Indexed as

LC-MSmetabolomicsplasmaporcine animal modelpostmortem interval

Identifiers

PMID36676951
PMCPMC9861157
OpenAlexW4312202282

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.