Literature DB >> 32914226

Postmortem expression of apoptosis-related genes in the liver of mice and their use for estimation of the time of death.

Peter A Noshy1.   

Abstract

PURPOSE: A major challenge in forensic medicine is to estimate the postmortem interval (PMI). Several approaches had been tried to determine the time of death, including physical and chemical changes. This study aims to explore the postmortem changes in the expression of apoptosis-related genes in the liver of mice and to use these changes for estimation of the PMI.
METHODS: Hepatic tissue was collected from sacrificed mice immediately after death (the control group) and at 3, 6, 9, 12, 18, and 24 hours after death. Four apoptosisrelated genes were selected as target genes, which are Caspase 3 (Casp3), B cell leukemia/ lymphoma 2 (Bcl2), BCL2-associated X protein (Bax), and Transformation related protein 53 (Trp53), and their relative expression was measured using quantitative PCR. miR-122 was used as a reference gene for normalization of the Ct (threshold cycle) values of the target genes.
RESULTS: The results revealed that the postmortem expression of Casp3 increased in a time-dependent manner; the expression of Bax increased from 3 to 18 hours followed by a decrease at 24 hours after death; the expression of Bcl2 decreased in a time-dependent manner after death; the expression of Trp53 increased from 3 to 6 hours and then started to decrease from 9 to 24 hours after death.
CONCLUSION: Based on the observed changes in the expression level of these genes, mathematical models were established to estimate the PMI. Further research is needed to investigate these markers and mathematical models in human tissues.

Entities:  

Keywords:  Apoptosis; Bax; Bcl2; Caspase 3; Postmortem interval; Time of death; Trp53; qPCR

Year:  2020        PMID: 32914226     DOI: 10.1007/s00414-020-02419-5

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  39 in total

1.  Experiences with a compound method for estimating the time since death. II. Integration of non-temperature-based methods.

Authors:  C Henssge; L Althaus; J Bolt; A Freislederer; H T Haffner; C A Henssge; B Hoppe; V Schneider
Journal:  Int J Legal Med       Date:  2000       Impact factor: 2.686

2.  Experiences with a compound method for estimating the time since death. I. Rectal temperature nomogram for time since death.

Authors:  C Henssge; L Althaus; J Bolt; A Freislederer; H T Haffner; C A Henssge; B Hoppe; V Schneider
Journal:  Int J Legal Med       Date:  2000       Impact factor: 2.686

3.  Quantification of mRNA degradation as possible indicator of postmortem interval--a pilot study.

Authors:  Martin Bauer; Ira Gramlich; Silke Polzin; Dieter Patzelt
Journal:  Leg Med (Tokyo)       Date:  2003-12       Impact factor: 1.376

4.  Estimation of the time since death in the early post-mortem period.

Authors:  C Henssge; B Madea
Journal:  Forensic Sci Int       Date:  2004-09-10       Impact factor: 2.395

5.  Intrapuparial Development of Sarconesia Chlorogaster (Diptera: Calliphoridae) for Postmortem Interval Estimation (PMI).

Authors:  J C Flissak; M O Moura
Journal:  J Med Entomol       Date:  2018-02-28       Impact factor: 2.278

6.  Rates of development of immatures of three species of Chrysomya (Diptera: Calliphoridae) reared in different types of animal tissues: implications for estimating the postmortem interval.

Authors:  Patricia Jacqueline Thyssen; Carina Mara de Souza; Paula Midori Shimamoto; Thais de Britto Salewski; Thiago Carvalho Moretti
Journal:  Parasitol Res       Date:  2014-08-01       Impact factor: 2.289

Review 7.  Postmortem Changes in Animal Carcasses and Estimation of the Postmortem Interval.

Authors:  J W Brooks
Journal:  Vet Pathol       Date:  2016-03-04       Impact factor: 2.221

8.  Postmortem interval determination using 18S-rRNA and microRNA.

Authors:  Wen-Can Li; Kai-Jun Ma; Ye-Hui Lv; Ping Zhang; Hui Pan; Heng Zhang; Hui-Jun Wang; Duan Ma; Long Chen
Journal:  Sci Justice       Date:  2014-04-03       Impact factor: 2.124

9.  Profiling of RNA degradation for estimation of post mortem [corrected] interval.

Authors:  Fernanda Sampaio-Silva; Teresa Magalhães; Félix Carvalho; Ricardo Jorge Dinis-Oliveira; Ricardo Silvestre
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

10.  Degradation of Kidney and Psoas Muscle Proteins as Indicators of Post-Mortem Interval in a Rat Model, with Use of Lateral Flow Technology.

Authors:  Dong-Gi Lee; Kyeong Eun Yang; Jeong Won Hwang; Hwan-Soo Kang; Seung-Yeul Lee; Seoyeon Choi; Joonchul Shin; Ik-Soon Jang; Hyun Joo An; Heesun Chung; Hyo-Il Jung; Jong-Soon Choi
Journal:  PLoS One       Date:  2016-08-23       Impact factor: 3.240

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  1 in total

Review 1.  Cadaveric Stem Cells: Their Research Potential and Limitations.

Authors:  Julia Cieśla; Marcin Tomsia
Journal:  Front Genet       Date:  2021-12-22       Impact factor: 4.599

  1 in total

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