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Metabolic profiling of femoral muscle from rats at different periods of time after death

Clarification of postmortem metabolite changes can help characterize the process of biological degradation and facilitate investigations of forensic casework, especially in the estimation of postmortem interval (PMI). Metabolomics can provide information on the molecular profiles of tissues, which c...

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Autores principales: Du, Tieshuai, Lin, Zebin, Xie, Yaling, Ye, Xing, Tu, Chunyan, Jin, Kaidi, Xie, Jianhui, Shen, Yiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138414/
https://www.ncbi.nlm.nih.gov/pubmed/30216363
http://dx.doi.org/10.1371/journal.pone.0203920
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author Du, Tieshuai
Lin, Zebin
Xie, Yaling
Ye, Xing
Tu, Chunyan
Jin, Kaidi
Xie, Jianhui
Shen, Yiwen
author_facet Du, Tieshuai
Lin, Zebin
Xie, Yaling
Ye, Xing
Tu, Chunyan
Jin, Kaidi
Xie, Jianhui
Shen, Yiwen
author_sort Du, Tieshuai
collection PubMed
description Clarification of postmortem metabolite changes can help characterize the process of biological degradation and facilitate investigations of forensic casework, especially in the estimation of postmortem interval (PMI). Metabolomics can provide information on the molecular profiles of tissues, which can aid in investigating postmortem metabolite changes. In this study, liquid chromatography-mass spectrometric (LC-MS) analysis was performed to identify the metabolic profiles of rat femoral muscle at ten periods of time after death within 168 h. The results obtained by reversed-phase liquid chromatography (RPLC)- and hydrophilic interaction liquid chromatography (HILIC)- electrospray ionization (ESI±) have revealed more than 16,000 features from all four datasets. Furthermore, 915 of these features were identified using an in-house database. Principal component analysis (PCA) demonstrated the time-specific features of molecular profiling at each period of time after death. Moreover, results from partial least squares projection to latent structures-discriminant analysis (PLS-DA) disclosed a strong association of metabolic alterations of at least 59 metabolites with the time since death, especially within 48 h after death, which expounds these metabolites as potential indicators in PMI estimation. Altogether, our results illustrate the potentiality of metabolic profiling in the evaluation of PMI and provide candidate metabolite markers with strong correlation with time since death for forensic purpose.
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spelling pubmed-61384142018-09-27 Metabolic profiling of femoral muscle from rats at different periods of time after death Du, Tieshuai Lin, Zebin Xie, Yaling Ye, Xing Tu, Chunyan Jin, Kaidi Xie, Jianhui Shen, Yiwen PLoS One Research Article Clarification of postmortem metabolite changes can help characterize the process of biological degradation and facilitate investigations of forensic casework, especially in the estimation of postmortem interval (PMI). Metabolomics can provide information on the molecular profiles of tissues, which can aid in investigating postmortem metabolite changes. In this study, liquid chromatography-mass spectrometric (LC-MS) analysis was performed to identify the metabolic profiles of rat femoral muscle at ten periods of time after death within 168 h. The results obtained by reversed-phase liquid chromatography (RPLC)- and hydrophilic interaction liquid chromatography (HILIC)- electrospray ionization (ESI±) have revealed more than 16,000 features from all four datasets. Furthermore, 915 of these features were identified using an in-house database. Principal component analysis (PCA) demonstrated the time-specific features of molecular profiling at each period of time after death. Moreover, results from partial least squares projection to latent structures-discriminant analysis (PLS-DA) disclosed a strong association of metabolic alterations of at least 59 metabolites with the time since death, especially within 48 h after death, which expounds these metabolites as potential indicators in PMI estimation. Altogether, our results illustrate the potentiality of metabolic profiling in the evaluation of PMI and provide candidate metabolite markers with strong correlation with time since death for forensic purpose. Public Library of Science 2018-09-14 /pmc/articles/PMC6138414/ /pubmed/30216363 http://dx.doi.org/10.1371/journal.pone.0203920 Text en © 2018 Du et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Du, Tieshuai
Lin, Zebin
Xie, Yaling
Ye, Xing
Tu, Chunyan
Jin, Kaidi
Xie, Jianhui
Shen, Yiwen
Metabolic profiling of femoral muscle from rats at different periods of time after death
title Metabolic profiling of femoral muscle from rats at different periods of time after death
title_full Metabolic profiling of femoral muscle from rats at different periods of time after death
title_fullStr Metabolic profiling of femoral muscle from rats at different periods of time after death
title_full_unstemmed Metabolic profiling of femoral muscle from rats at different periods of time after death
title_short Metabolic profiling of femoral muscle from rats at different periods of time after death
title_sort metabolic profiling of femoral muscle from rats at different periods of time after death
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138414/
https://www.ncbi.nlm.nih.gov/pubmed/30216363
http://dx.doi.org/10.1371/journal.pone.0203920
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