Cell death proteins as markers of early postmortem interval

Zapico, Sara C.; Menéndez, Sofía T.; Núñez, Paula

doi:10.1007/s00018-013-1531-x

Cited by 34 publications

(20 citation statements)

References 39 publications

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“…These results confirmed our initial hypothesis, since Caspase-3, FasL and PTEN are implicated in cell death signaling pathways. These findings were consistent with a previous study [8].…”

Section: Discussionsupporting

confidence: 94%

“…The present results depicted a time-dependent increase in mRNA levels of FasL, PTEN and Caspase-3 beginning 2 h after death until 6 h with a marked decrease at 8 h after death. This sudden decrease in the mRNA levels may be owing to degradation of RNA as a result of the development of the autolysis process [8]. In our study, we found a strong positive linear correlation between mRNA levels of FasL, PTEN and Caspase-3 with TSD.…”

Section: Discussionsupporting

confidence: 58%

“…Afterward, there is a release of cellular components and metabolites. To our knowledge, little literature is available on the alterations associated with the TSD within the first hours of death [6,8]. Therefore, our study aimed to estimate the early PMI between 2 and 8 h using the expression analysis of cell death genes including Fas Ligand (FasL), Caspase-3 and phosphatase and tensin homologue deleted on chromosome 10 (PTEN) by real-time PCR in gastrocnemius muscle of rats.…”

Section: ) Zagazig University Faculty Of Veterinary Medicine Forensicmentioning

confidence: 99%

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Expression of cell death genes estimates time since death in rats

Saber¹,

Ali²

2016

RJLM

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Estimation of postmortem interval (PMI) is one of the challenges in forensic science. There are several methods estimating the time since death (TSD) involving physical and biochemical methods. Decomposition is initiated by a process called autolysis which induces detrimental alterations in the cell leading to cell death. On the basis of the process of cell death signaling, the current study investigated the early PMI (2-8h after death) using the analysis of the mRNA expression of Fas Ligand (FasL), Caspase-3 and phosphatase and tensin homologue deleted on chromosome 10(PTEN) in gastrocnemius muscles of rats by real-time PCR. The results revealed a time-dependent increase in the mRNA levels of these genes until 6 h after death. Moreover, a positive linear correlation was detected between the mRNA expression of these genes and the TSD using a regression analysis in the first 6h after death. This study supplies a quantitative tool for determining the early PMI until 6 h after death based on expression of these cell death genes. Further research is recommended to find other cell death markers and extend the time period for TSD determination.

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“…These results confirmed our initial hypothesis, since Caspase-3, FasL and PTEN are implicated in cell death signaling pathways. These findings were consistent with a previous study [8].…”

Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 58%

Section: ) Zagazig University Faculty Of Veterinary Medicine Forensicmentioning

confidence: 99%

See 1 more Smart Citation

Expression of cell death genes estimates time since death in rats

Saber¹,

Ali²

2016

RJLM

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“…The cadaver used in this study was harvested within 2 hours of death/euthanasia, prepared, and frozen immediately and underwent only 1 freeze/thaw cycle. The longer intestine remains unfrozen after death the more autolysis may occur, leading to changes to the character of the tissue . Repeated freeze–thaw cycles can additionally damage the tissues to be studied.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of surgical models for training veterinary students to perform enterotomies

et al. 2019

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Objective: To compare surgical models for teaching enterotomies to students.Study design: Prospective, randomized study. Sample population: Second-year veterinary students (n = 59) and faculty surgeons/surgery residents (n = 19). Methods: Participants performed an enterotomy on each of 3 models (equine cadaver intestine, SurgiReal small intestine simulator, and SynDaver canine bowel) and completed a survey comparing them to either an enterotomy on an anesthetized pig (students) or intestinal surgery experience (faculty/residents). Surveys results were compiled and analyzed. Results: Both student and faculty/resident groups rated cadaver intestine as more similar to live intestine compared with the synthetic models for incision, tissue handling, mucosal eversion, needle passage, knot tying, and best preparing for live intestine. Students rated SynDaver as more similar to live intestine than SurgiReal for incision and ranked SurgiReal as more similar to live intestine than SynDaver for mucosal eversion. There was no difference between the ranks assigned to SurgiReal and Syn-Daver for faculty/residents. Faculty/residents responded most often that cadaver intestine would be the model they recommend for training students. Conclusion: Cadaver intestine was the model most similar to live intestine for all variables tested. SurgiReal and SynDaver models were comparable to each other but did not simulate live intestine as well as cadaver intestine. Clinical significance: Cadaver intestine more closely approximated live intestine compared with either synthetic model. SurgiReal and SynDaver may be adequate alternatives if cadaver intestine is unavailable.

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“…The RNA degradation studies include: a model to predict PMI based on the degradation of Beta actin (Actb), Glyceraldehyde-3-phosphate dehydrogenase (Gapdh), Cyclophilin A (Ppia) and Signal recognition particle 72 (Srp72) genes in mouse muscle tissue samples [3], a model to predict PMI based on degradation of an amplified Actb gene and temperature in rat brain samples [4], and a study that predicted PMI based on the degradation of Gapdh, Actb and 18S rRNA genes in the spleens of rats [5]. The gene expression studies include: a study that found increased expression of myosin light chain 3 (Myl3), matrix metalloprotease 9 (Mmp9) and vascular endothelial growth factor A (Vegfa) genes in human body fluids after 12 h postmortem [6], a study that found increased expression of Fas Ligand (Fasl) and "phosphatase and tensin homologue deleted on chromosome 10" (Pten) genes with postmortem time in rats [7], and a study that found individual gene transcripts did not increase using PCR-based gene expression arrays of frozen human brain cadaver samples [8]. Common to these studies is the requirement: (i) to amplify cDNA by polymerase chain reaction (PCR) and (ii) to normalize the data with a control in order to facilitate sample comparisons.…”

Section: Introductionmentioning

confidence: 99%

Accurate predictions of postmortem interval using linear regression analyses of gene meter expression data

Hunter

Pozhitkov

Noble

2017

Forensic Science International

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In criminal and civil investigations, postmortem interval is used as evidence to help sort out circumstances at the time of human death. Many biological, chemical, and physical indicators can be used to determine the postmortem interval - but most are not accurate. Here, we sought to validate an experimental design to accurately predict the time of death by analyzing the expression of hundreds of upregulated genes in two model organisms, the zebrafish and mouse. In a previous study, the death of healthy adults was conducted under strictly controlled conditions to minimize the effects of confounding factors such as lifestyle and temperature. A total of 74,179 microarray probes were calibrated using the Gene Meter approach and the transcriptional profiles of 1063 genes that significantly increased in abundance were assembled into a time series spanning from life to 48 or 96h postmortem. In this study, the experimental design involved splitting the transcription profiles into training and testing datasets, randomly selecting groups of profiles, determining the modeling parameters of the genes to postmortem time using over- and/or perfectly-defined linear regression analyses, and calculating the fit (R) and slope of predicted versus actual postmortem times. This design was repeated several thousand to million times to find the top predictive groups of gene transcription profiles. A group of eleven zebrafish genes yielded R of 1 and a slope of 0.99, while a group of seven mouse liver genes yielded a R of 0.98 and a slope of 0.97, and seven mouse brain genes yielded a R of 0.95 and a slope of 0.87. In all cases, groups of gene transcripts yielded better postmortem time predictions than individual gene transcripts. The significance of this study is two-fold: selected groups of gene transcripts provide accurate prediction of postmortem time, and the successfully validated experimental design can now be used to accurately predict postmortem time in cadavers.

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Cell death proteins as markers of early postmortem interval

Cited by 34 publications

References 39 publications

Expression of cell death genes estimates time since death in rats

Expression of cell death genes estimates time since death in rats

Evaluation of surgical models for training veterinary students to perform enterotomies

Accurate predictions of postmortem interval using linear regression analyses of gene meter expression data

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