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Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat

BACKGROUND: The estimation of post-mortem interval (PMI) is one of the most important problems in forensic pathology all the time. Although many classical methods can be used to estimate time since death, accurate and rapid estimation of PMI is still a difficult task in forensic practice, so the est...

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Autores principales: Du, Qiu-xiang, Zhang, Shuai, Long, Fei-hao, Lu, Xiao-jun, Wang, Liang, Cao, Jie, Jin, Qian-qian, Ren, Kang, Zhang, Ji, Huang, Ping, Sun, Jun-hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871555/
https://www.ncbi.nlm.nih.gov/pubmed/36703889
http://dx.doi.org/10.3389/fmed.2022.1083474
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author Du, Qiu-xiang
Zhang, Shuai
Long, Fei-hao
Lu, Xiao-jun
Wang, Liang
Cao, Jie
Jin, Qian-qian
Ren, Kang
Zhang, Ji
Huang, Ping
Sun, Jun-hong
author_facet Du, Qiu-xiang
Zhang, Shuai
Long, Fei-hao
Lu, Xiao-jun
Wang, Liang
Cao, Jie
Jin, Qian-qian
Ren, Kang
Zhang, Ji
Huang, Ping
Sun, Jun-hong
author_sort Du, Qiu-xiang
collection PubMed
description BACKGROUND: The estimation of post-mortem interval (PMI) is one of the most important problems in forensic pathology all the time. Although many classical methods can be used to estimate time since death, accurate and rapid estimation of PMI is still a difficult task in forensic practice, so the estimation of PMI requires a faster, more accurate, and more convenient method. MATERIALS AND METHODS: In this study, an experimental method, lab-on-chip, is used to analyze the characterizations of polypeptide fragments of the lung, liver, kidney, and skeletal muscle of rats at defined time points after death (0, 1, 2, 3, 5, 7, 9, 12, 15, 18, 21, 24, 27, and 30 days). Then, machine learning algorithms (base model: LR, SVM, RF, GBDT, and MLPC; ensemble model: stacking, soft voting, and soft-weighted voting) are applied to predict PMI with single organ. Multi-organ fusion strategy is designed to predict PMI based on multiple organs. Then, the ensemble pruning algorithm determines the best combination of multi-organ. RESULTS: The kidney is the best single organ for predicting the time of death, and its internal and external accuracy is 0.808 and 0.714, respectively. Multi-organ fusion strategy dramatically improves the performance of PMI estimation, and its internal and external accuracy is 0.962 and 0.893, respectively. Finally, the best organ combination determined by the ensemble pruning algorithm is all organs, such as lung, liver, kidney, and skeletal muscle. CONCLUSION: Lab-on-chip is feasible to detect polypeptide fragments and multi-organ fusion is more accurate than single organ for PMI estimation.
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spelling pubmed-98715552023-01-25 Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat Du, Qiu-xiang Zhang, Shuai Long, Fei-hao Lu, Xiao-jun Wang, Liang Cao, Jie Jin, Qian-qian Ren, Kang Zhang, Ji Huang, Ping Sun, Jun-hong Front Med (Lausanne) Medicine BACKGROUND: The estimation of post-mortem interval (PMI) is one of the most important problems in forensic pathology all the time. Although many classical methods can be used to estimate time since death, accurate and rapid estimation of PMI is still a difficult task in forensic practice, so the estimation of PMI requires a faster, more accurate, and more convenient method. MATERIALS AND METHODS: In this study, an experimental method, lab-on-chip, is used to analyze the characterizations of polypeptide fragments of the lung, liver, kidney, and skeletal muscle of rats at defined time points after death (0, 1, 2, 3, 5, 7, 9, 12, 15, 18, 21, 24, 27, and 30 days). Then, machine learning algorithms (base model: LR, SVM, RF, GBDT, and MLPC; ensemble model: stacking, soft voting, and soft-weighted voting) are applied to predict PMI with single organ. Multi-organ fusion strategy is designed to predict PMI based on multiple organs. Then, the ensemble pruning algorithm determines the best combination of multi-organ. RESULTS: The kidney is the best single organ for predicting the time of death, and its internal and external accuracy is 0.808 and 0.714, respectively. Multi-organ fusion strategy dramatically improves the performance of PMI estimation, and its internal and external accuracy is 0.962 and 0.893, respectively. Finally, the best organ combination determined by the ensemble pruning algorithm is all organs, such as lung, liver, kidney, and skeletal muscle. CONCLUSION: Lab-on-chip is feasible to detect polypeptide fragments and multi-organ fusion is more accurate than single organ for PMI estimation. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9871555/ /pubmed/36703889 http://dx.doi.org/10.3389/fmed.2022.1083474 Text en Copyright © 2023 Du, Zhang, Long, Lu, Wang, Cao, Jin, Ren, Zhang, Huang and Sun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Du, Qiu-xiang
Zhang, Shuai
Long, Fei-hao
Lu, Xiao-jun
Wang, Liang
Cao, Jie
Jin, Qian-qian
Ren, Kang
Zhang, Ji
Huang, Ping
Sun, Jun-hong
Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat
title Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat
title_full Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat
title_fullStr Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat
title_full_unstemmed Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat
title_short Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat
title_sort combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871555/
https://www.ncbi.nlm.nih.gov/pubmed/36703889
http://dx.doi.org/10.3389/fmed.2022.1083474
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