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Screening criteria of mRNA indicators for wound age estimation

Wound age estimation is a crucial and challenging problem in forensic pathology. Although mRNA is the most commonly used indicator for wound age estimation, screening criteria are lacking. In the present study, the feasibility of screening criteria using mRNA to determine injury time based on the ad...

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Autores principales: Du, Qiuxiang, Dong, Tana, Liu, Yuanxin, Zhu, Xiyan, Li, Na, Dang, Lihong, Cao, Jie, Jin, Qianqian, Sun, Junhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930757/
https://www.ncbi.nlm.nih.gov/pubmed/36817234
http://dx.doi.org/10.1080/20961790.2021.1986770
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author Du, Qiuxiang
Dong, Tana
Liu, Yuanxin
Zhu, Xiyan
Li, Na
Dang, Lihong
Cao, Jie
Jin, Qianqian
Sun, Junhong
author_facet Du, Qiuxiang
Dong, Tana
Liu, Yuanxin
Zhu, Xiyan
Li, Na
Dang, Lihong
Cao, Jie
Jin, Qianqian
Sun, Junhong
author_sort Du, Qiuxiang
collection PubMed
description Wound age estimation is a crucial and challenging problem in forensic pathology. Although mRNA is the most commonly used indicator for wound age estimation, screening criteria are lacking. In the present study, the feasibility of screening criteria using mRNA to determine injury time based on the adenylate-uridylate-rich element (ARE) structure and gene ontology (GO) categories were evaluated. A total of 78 Sprague-Dawley male rats were contused and sampled at 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, and 48 h after inflicting injury. The candidate mRNAs were classified based on with or without ARE structure and GO category function. The mRNA expression levels were detected using qRT-PCR. In addition, the standard deviation (STD), mean deviation (MD), relative average deviation (d%), and coefficient of variation (CV) were calculated based on mRNA expression levels. The CV score (CVs) and the CV of CV (CV’CV) were calculated to measure heterogeneity. Finally, based on classic principles, the accuracy of combination of candidate mRNAs was assessed using discriminant analysis to construct a multivariate model for inferring wound age. The results of homogeneity evaluation of each group based on CVs were consistent with the MD, STD, d%, and CV results, indicating the credibility of the evaluation results based on CVs. The candidate mRNAs without ARE structure and classified as cellular component (CC) GO category (ARE–CC) had the highest CVs, showing the mRNAs with these characteristics are the most homogenous mRNAs and best suited for wound age estimation. The highest accuracy was 91.0% when the mRNAs without ARE structure were used to infer the wound age based on the discrimination model. The accuracy of mRNAs classified into CC or multiple function (MF) GO category was higher than mRNAs in the biological process (BP) category. In all subgroups, the accuracy of the composite identification model of mRNA composition without ARE structure and classified as CC was higher than other subgroups. The mRNAs without ARE structure and belonging to the CC GO category were more homogenous, showed higher accuracy for estimating wound age, and were appropriate for rat skeletal muscle wound age estimation. Supplemental data for this article is available online at https://doi.org/10.1080/20961790.2021.1986770 .
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spelling pubmed-99307572023-02-16 Screening criteria of mRNA indicators for wound age estimation Du, Qiuxiang Dong, Tana Liu, Yuanxin Zhu, Xiyan Li, Na Dang, Lihong Cao, Jie Jin, Qianqian Sun, Junhong Forensic Sci Res Research Articles Wound age estimation is a crucial and challenging problem in forensic pathology. Although mRNA is the most commonly used indicator for wound age estimation, screening criteria are lacking. In the present study, the feasibility of screening criteria using mRNA to determine injury time based on the adenylate-uridylate-rich element (ARE) structure and gene ontology (GO) categories were evaluated. A total of 78 Sprague-Dawley male rats were contused and sampled at 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, and 48 h after inflicting injury. The candidate mRNAs were classified based on with or without ARE structure and GO category function. The mRNA expression levels were detected using qRT-PCR. In addition, the standard deviation (STD), mean deviation (MD), relative average deviation (d%), and coefficient of variation (CV) were calculated based on mRNA expression levels. The CV score (CVs) and the CV of CV (CV’CV) were calculated to measure heterogeneity. Finally, based on classic principles, the accuracy of combination of candidate mRNAs was assessed using discriminant analysis to construct a multivariate model for inferring wound age. The results of homogeneity evaluation of each group based on CVs were consistent with the MD, STD, d%, and CV results, indicating the credibility of the evaluation results based on CVs. The candidate mRNAs without ARE structure and classified as cellular component (CC) GO category (ARE–CC) had the highest CVs, showing the mRNAs with these characteristics are the most homogenous mRNAs and best suited for wound age estimation. The highest accuracy was 91.0% when the mRNAs without ARE structure were used to infer the wound age based on the discrimination model. The accuracy of mRNAs classified into CC or multiple function (MF) GO category was higher than mRNAs in the biological process (BP) category. In all subgroups, the accuracy of the composite identification model of mRNA composition without ARE structure and classified as CC was higher than other subgroups. The mRNAs without ARE structure and belonging to the CC GO category were more homogenous, showed higher accuracy for estimating wound age, and were appropriate for rat skeletal muscle wound age estimation. Supplemental data for this article is available online at https://doi.org/10.1080/20961790.2021.1986770 . Taylor & Francis 2022-05-11 /pmc/articles/PMC9930757/ /pubmed/36817234 http://dx.doi.org/10.1080/20961790.2021.1986770 Text en © 2022 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Du, Qiuxiang
Dong, Tana
Liu, Yuanxin
Zhu, Xiyan
Li, Na
Dang, Lihong
Cao, Jie
Jin, Qianqian
Sun, Junhong
Screening criteria of mRNA indicators for wound age estimation
title Screening criteria of mRNA indicators for wound age estimation
title_full Screening criteria of mRNA indicators for wound age estimation
title_fullStr Screening criteria of mRNA indicators for wound age estimation
title_full_unstemmed Screening criteria of mRNA indicators for wound age estimation
title_short Screening criteria of mRNA indicators for wound age estimation
title_sort screening criteria of mrna indicators for wound age estimation
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930757/
https://www.ncbi.nlm.nih.gov/pubmed/36817234
http://dx.doi.org/10.1080/20961790.2021.1986770
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