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Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study

Wound age estimation is still one of the most important and significant challenges in forensic practice. The extent of wound damage greatly affects the accuracy and reliability of wound age estimation, so it is important to find effective biomarkers to help diagnose wound degree and wound age. In th...

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Autores principales: Li, Na, Li, Chun, Li, Dan, Dang, Li-hong, Ren, Kang, Du, Qiu-xiang, Cao, Jie, Jin, Qian-qian, Wang, Ying-yuan, Bai, Ru-feng, Sun, Jun-hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710249/
https://www.ncbi.nlm.nih.gov/pubmed/35036173
http://dx.doi.org/10.7717/peerj.12709
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author Li, Na
Li, Chun
Li, Dan
Dang, Li-hong
Ren, Kang
Du, Qiu-xiang
Cao, Jie
Jin, Qian-qian
Wang, Ying-yuan
Bai, Ru-feng
Sun, Jun-hong
author_facet Li, Na
Li, Chun
Li, Dan
Dang, Li-hong
Ren, Kang
Du, Qiu-xiang
Cao, Jie
Jin, Qian-qian
Wang, Ying-yuan
Bai, Ru-feng
Sun, Jun-hong
author_sort Li, Na
collection PubMed
description Wound age estimation is still one of the most important and significant challenges in forensic practice. The extent of wound damage greatly affects the accuracy and reliability of wound age estimation, so it is important to find effective biomarkers to help diagnose wound degree and wound age. In the present study, the gene expression profiles of both mild and severe injuries in 33 rats were assayed at 0, 1, 3, 24, 48, and 168 hours using the Affymetrix microarray system to provide biomarkers for the evaluation of wound age and the extent of the wound. After obtaining thousands of differentially expressed genes, a principal component analysis, the least absolute shrinkage and selection operator, and a time-series analysis were used to select the most predictive prognostic genes. Finally, 15 genes were screened for evaluating the extent of wound damage, and the top 60 genes were also screened for wound age estimation in mild and severe injury. Selected indicators showed good diagnostic performance for identifying the extent of the wound and wound age in a Fisher discriminant analysis. A function analysis showed that the candidate genes were mainly related to cell proliferation and the inflammatory response, primarily IL-17 and the Hematopoietic cell lineage signalling pathway. The results revealed that these genes play an essential role in wound-healing and yield helpful and valuable potential biomarkers for further targeted studies.
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spelling pubmed-87102492022-01-14 Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study Li, Na Li, Chun Li, Dan Dang, Li-hong Ren, Kang Du, Qiu-xiang Cao, Jie Jin, Qian-qian Wang, Ying-yuan Bai, Ru-feng Sun, Jun-hong PeerJ Biochemistry Wound age estimation is still one of the most important and significant challenges in forensic practice. The extent of wound damage greatly affects the accuracy and reliability of wound age estimation, so it is important to find effective biomarkers to help diagnose wound degree and wound age. In the present study, the gene expression profiles of both mild and severe injuries in 33 rats were assayed at 0, 1, 3, 24, 48, and 168 hours using the Affymetrix microarray system to provide biomarkers for the evaluation of wound age and the extent of the wound. After obtaining thousands of differentially expressed genes, a principal component analysis, the least absolute shrinkage and selection operator, and a time-series analysis were used to select the most predictive prognostic genes. Finally, 15 genes were screened for evaluating the extent of wound damage, and the top 60 genes were also screened for wound age estimation in mild and severe injury. Selected indicators showed good diagnostic performance for identifying the extent of the wound and wound age in a Fisher discriminant analysis. A function analysis showed that the candidate genes were mainly related to cell proliferation and the inflammatory response, primarily IL-17 and the Hematopoietic cell lineage signalling pathway. The results revealed that these genes play an essential role in wound-healing and yield helpful and valuable potential biomarkers for further targeted studies. PeerJ Inc. 2021-12-23 /pmc/articles/PMC8710249/ /pubmed/35036173 http://dx.doi.org/10.7717/peerj.12709 Text en ©2021 Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biochemistry
Li, Na
Li, Chun
Li, Dan
Dang, Li-hong
Ren, Kang
Du, Qiu-xiang
Cao, Jie
Jin, Qian-qian
Wang, Ying-yuan
Bai, Ru-feng
Sun, Jun-hong
Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study
title Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study
title_full Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study
title_fullStr Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study
title_full_unstemmed Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study
title_short Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study
title_sort identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study
topic Biochemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710249/
https://www.ncbi.nlm.nih.gov/pubmed/35036173
http://dx.doi.org/10.7717/peerj.12709
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