Cargando…
Circular RNA as a Potential Biomarker for Forensic Age Prediction
In forensic science, accurate estimation of the age of a victim or suspect can facilitate the investigators to narrow a search and aid in solving a crime. Aging is a complex process associated with various molecular regulations on DNA or RNA levels. Recent studies have shown that circular RNAs (circ...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858837/ https://www.ncbi.nlm.nih.gov/pubmed/35198010 http://dx.doi.org/10.3389/fgene.2022.825443 |
_version_ | 1784654323489177600 |
---|---|
author | Wang, Junyan Wang, Chunyan Wei, Yangyan Zhao, Yanhao Wang, Can Lu, Chaolong Feng, Jin Li, Shujin Cong, Bin |
author_facet | Wang, Junyan Wang, Chunyan Wei, Yangyan Zhao, Yanhao Wang, Can Lu, Chaolong Feng, Jin Li, Shujin Cong, Bin |
author_sort | Wang, Junyan |
collection | PubMed |
description | In forensic science, accurate estimation of the age of a victim or suspect can facilitate the investigators to narrow a search and aid in solving a crime. Aging is a complex process associated with various molecular regulations on DNA or RNA levels. Recent studies have shown that circular RNAs (circRNAs) upregulate globally during aging in multiple organisms such as mice and C.elegans because of their ability to resist degradation by exoribonucleases. In the current study, we attempted to investigate circRNAs’ potential capability of age prediction. Here, we identified more than 40,000 circRNAs in the blood of thirteen Chinese unrelated healthy individuals with ages of 20–62 years according to their circRNA-seq profiles. Three methods were applied to select age-related circRNA candidates including the false discovery rate, lasso regression, and support vector machine. The analysis uncovered a strong bias for circRNA upregulation during aging in human blood. A total of 28 circRNAs were chosen for further validation in 30 healthy unrelated subjects by RT-qPCR, and finally, 5 age-related circRNAs were chosen for final age prediction models using 100 samples of 19–73 years old. Several different algorithms including multivariate linear regression (MLR), regression tree, bagging regression, random forest regression (RFR), and support vector regression (SVR) were compared based on root mean square error (RMSE) and mean average error (MAE) values. Among five modeling methods, regression tree and RFR performed better than the others with MAE values of 8.767 years (S.rho = 0.6983) and 9.126 years (S.rho = 0.660), respectively. Sex effect analysis showed age prediction models significantly yielded smaller prediction MAE values for males than females (MAE = 6.133 years for males, while 10.923 years for females in the regression tree model). In the current study, we first used circRNAs as additional novel age-related biomarkers for developing forensic age estimation models. We propose that the use of circRNAs to obtain additional clues for forensic investigations and serve as aging indicators for age prediction would become a promising field of interest. |
format | Online Article Text |
id | pubmed-8858837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88588372022-02-22 Circular RNA as a Potential Biomarker for Forensic Age Prediction Wang, Junyan Wang, Chunyan Wei, Yangyan Zhao, Yanhao Wang, Can Lu, Chaolong Feng, Jin Li, Shujin Cong, Bin Front Genet Genetics In forensic science, accurate estimation of the age of a victim or suspect can facilitate the investigators to narrow a search and aid in solving a crime. Aging is a complex process associated with various molecular regulations on DNA or RNA levels. Recent studies have shown that circular RNAs (circRNAs) upregulate globally during aging in multiple organisms such as mice and C.elegans because of their ability to resist degradation by exoribonucleases. In the current study, we attempted to investigate circRNAs’ potential capability of age prediction. Here, we identified more than 40,000 circRNAs in the blood of thirteen Chinese unrelated healthy individuals with ages of 20–62 years according to their circRNA-seq profiles. Three methods were applied to select age-related circRNA candidates including the false discovery rate, lasso regression, and support vector machine. The analysis uncovered a strong bias for circRNA upregulation during aging in human blood. A total of 28 circRNAs were chosen for further validation in 30 healthy unrelated subjects by RT-qPCR, and finally, 5 age-related circRNAs were chosen for final age prediction models using 100 samples of 19–73 years old. Several different algorithms including multivariate linear regression (MLR), regression tree, bagging regression, random forest regression (RFR), and support vector regression (SVR) were compared based on root mean square error (RMSE) and mean average error (MAE) values. Among five modeling methods, regression tree and RFR performed better than the others with MAE values of 8.767 years (S.rho = 0.6983) and 9.126 years (S.rho = 0.660), respectively. Sex effect analysis showed age prediction models significantly yielded smaller prediction MAE values for males than females (MAE = 6.133 years for males, while 10.923 years for females in the regression tree model). In the current study, we first used circRNAs as additional novel age-related biomarkers for developing forensic age estimation models. We propose that the use of circRNAs to obtain additional clues for forensic investigations and serve as aging indicators for age prediction would become a promising field of interest. Frontiers Media S.A. 2022-02-07 /pmc/articles/PMC8858837/ /pubmed/35198010 http://dx.doi.org/10.3389/fgene.2022.825443 Text en Copyright © 2022 Wang, Wang, Wei, Zhao, Wang, Lu, Feng, Li and Cong. 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 | Genetics Wang, Junyan Wang, Chunyan Wei, Yangyan Zhao, Yanhao Wang, Can Lu, Chaolong Feng, Jin Li, Shujin Cong, Bin Circular RNA as a Potential Biomarker for Forensic Age Prediction |
title | Circular RNA as a Potential Biomarker for Forensic Age Prediction |
title_full | Circular RNA as a Potential Biomarker for Forensic Age Prediction |
title_fullStr | Circular RNA as a Potential Biomarker for Forensic Age Prediction |
title_full_unstemmed | Circular RNA as a Potential Biomarker for Forensic Age Prediction |
title_short | Circular RNA as a Potential Biomarker for Forensic Age Prediction |
title_sort | circular rna as a potential biomarker for forensic age prediction |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858837/ https://www.ncbi.nlm.nih.gov/pubmed/35198010 http://dx.doi.org/10.3389/fgene.2022.825443 |
work_keys_str_mv | AT wangjunyan circularrnaasapotentialbiomarkerforforensicageprediction AT wangchunyan circularrnaasapotentialbiomarkerforforensicageprediction AT weiyangyan circularrnaasapotentialbiomarkerforforensicageprediction AT zhaoyanhao circularrnaasapotentialbiomarkerforforensicageprediction AT wangcan circularrnaasapotentialbiomarkerforforensicageprediction AT luchaolong circularrnaasapotentialbiomarkerforforensicageprediction AT fengjin circularrnaasapotentialbiomarkerforforensicageprediction AT lishujin circularrnaasapotentialbiomarkerforforensicageprediction AT congbin circularrnaasapotentialbiomarkerforforensicageprediction |