Literature DB >> 23647867

Estimating postmortem interval using RNA degradation and morphological changes in tooth pulp.

Stephanie T Young1, Jeffrey D Wells, Gerald R Hobbs, Clifton P Bishop.   

Abstract

The accurate determination of time since death, or postmortem interval (PMI), can be critical in the investigation of suspicious deaths. Knowing when a suspicious death occurred can limit the number of potential suspects to those without a viable alibi for the time of the crime. The forensic techniques currently employed to determine PMI: pathology, entomology, and anthropology, are accurate over different time periods following death. A large gap in time exists between the capabilities of forensic entomology and traditional anthropology, leaving a period in which PMI is difficult to estimate. In this study, time-dependent differences in RNA decay rates were examined to extend the time frame over which early PMI estimates can be made. Comparing the decay rates of a large, labile segment of β-actin RNA and a smaller, more stable, non-overlapping segment of the same RNA from tooth pulp, we were able to estimate PMI values of pigs buried within a shallow grave for up to 84 days. This compares favorably to an estimate of PMI using insect data. Full skeletonization and loss of insect activity was observed by day 28 of our study. In addition to differences in RNA decay rates, morphological changes were observed in the pulp as it aged postmortem. To provide a quantitative measure of progressive color changes, analysis of digital photographs of each tooth's pulp were used to construct a simple colorimetric assay. This assay was then used to cluster ages of pulp samples by color. The two assays, used in combination with one another, can create a more precise estimate of PMI. The potential advantages of this molecular means of estimating PMI include extending the time frame for such estimates, is applicable to samples collected worldwide (no specialized knowledge of local insect fauna is required), is relatively fast, and inexpensive.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23647867     DOI: 10.1016/j.forsciint.2013.03.035

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  17 in total

1.  The rate of RNA degradation in human dental pulp reveals post-mortem interval.

Authors:  Viktor S Poór; Dénes Lukács; Tamás Nagy; Evelin Rácz; Katalin Sipos
Journal:  Int J Legal Med       Date:  2015-11-25       Impact factor: 2.686

2.  Postmortem degradation of skeletal muscle proteins: a novel approach to determine the time since death.

Authors:  Stefan Pittner; Fabio C Monticelli; Alexander Pfisterer; Angela Zissler; Alexandra M Sänger; Walter Stoiber; Peter Steinbacher
Journal:  Int J Legal Med       Date:  2015-06-04       Impact factor: 2.686

Review 3.  Analysis of RNA in the estimation of post-mortem interval: a review of current evidence.

Authors:  Salvatore Scrivano; Matteo Sanavio; Pamela Tozzo; Luciana Caenazzo
Journal:  Int J Legal Med       Date:  2019-07-18       Impact factor: 2.686

4.  Evaluating the effects of causes of death on postmortem interval estimation by ATR-FTIR spectroscopy.

Authors:  Kai Zhang; Qi Wang; Ruina Liu; Xin Wei; Zhouru Li; Shuanliang Fan; Zhenyuan Wang
Journal:  Int J Legal Med       Date:  2019-03-25       Impact factor: 2.686

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

Authors:  Ye-Hui Lv; Jian-Long Ma; Hui Pan; Yan Zeng; Li Tao; Heng Zhang; Wen-Can Li; Kai-Jun Ma; Long Chen
Journal:  Forensic Sci Med Pathol       Date:  2016-12-28       Impact factor: 2.007

6.  Evaluating the potential of housekeeping genes, rRNAs, snRNAs, microRNAs and circRNAs as reference genes for the estimation of PMI.

Authors:  Chunyan Tu; Tieshuai Du; Chengchen Shao; Zengjia Liu; Liliang Li; Yiwen Shen
Journal:  Forensic Sci Med Pathol       Date:  2018-04-24       Impact factor: 2.007

Review 7.  Systematic Review on Post-Mortem Protein Alterations: Analysis of Experimental Models and Evaluation of Potential Biomarkers of Time of Death.

Authors:  Matteo Antonio Sacco; Fabrizio Cordasco; Carmen Scalise; Pietrantonio Ricci; Isabella Aquila
Journal:  Diagnostics (Basel)       Date:  2022-06-17

8.  Exploration of the R code-based mathematical model for PMI estimation using profiling of RNA degradation in rat brain tissue at different temperatures.

Authors:  Jianlong Ma; Hui Pan; Yan Zeng; Yehui Lv; Heng Zhang; Aimin Xue; Jieqing Jiang; Kaijun Ma; Long Chen
Journal:  Forensic Sci Med Pathol       Date:  2015-09-12       Impact factor: 2.007

9.  Microarray profiling of long non-coding RNA (lncRNA) associated with hypertrophic cardiomyopathy.

Authors:  Wei Yang; Yuan Li; Fawei He; Haixiang Wu
Journal:  BMC Cardiovasc Disord       Date:  2015-07-04       Impact factor: 2.298

10.  Postmortem muscle protein degradation in humans as a tool for PMI delimitation.

Authors:  Stefan Pittner; Bianca Ehrenfellner; Fabio C Monticelli; Angela Zissler; Alexandra M Sänger; Walter Stoiber; Peter Steinbacher
Journal:  Int J Legal Med       Date:  2016-03-07       Impact factor: 2.686

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