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Construction Formula of Biological Age Using the Principal Component Analysis
The biological age (BA) equation is a prediction model that utilizes an algorithm to combine various biological markers of ageing. Different from traditional concepts, the BA equation does not emphasize the importance of a golden index but focuses on using indices of vital organs to represent the se...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168481/ https://www.ncbi.nlm.nih.gov/pubmed/28050560 http://dx.doi.org/10.1155/2016/4697017 |
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author | Jia, Linpei Zhang, Weiguang Jia, Rufu Zhang, Hongliang Chen, Xiangmei |
author_facet | Jia, Linpei Zhang, Weiguang Jia, Rufu Zhang, Hongliang Chen, Xiangmei |
author_sort | Jia, Linpei |
collection | PubMed |
description | The biological age (BA) equation is a prediction model that utilizes an algorithm to combine various biological markers of ageing. Different from traditional concepts, the BA equation does not emphasize the importance of a golden index but focuses on using indices of vital organs to represent the senescence of whole body. This model has been used to assess the ageing process in a more precise way and may predict possible diseases better as compared with the chronological age (CA). The principal component analysis (PCA) is applied as one of the common and frequently used methods in the construction of the BA formula. Compared with other methods, PCA has its own study procedures and features. Herein we summarize the up-to-date knowledge about the BA formula construction and discuss the influential factors, so as to give an overview of BA estimate by PCA, including composition of samples, choices of test items, and selection of ageing biomarkers. We also discussed the advantages and disadvantages of PCA with reference to the construction mechanism, accuracy, and practicability of several common methods in the construction of the BA formula. |
format | Online Article Text |
id | pubmed-5168481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-51684812017-01-03 Construction Formula of Biological Age Using the Principal Component Analysis Jia, Linpei Zhang, Weiguang Jia, Rufu Zhang, Hongliang Chen, Xiangmei Biomed Res Int Review Article The biological age (BA) equation is a prediction model that utilizes an algorithm to combine various biological markers of ageing. Different from traditional concepts, the BA equation does not emphasize the importance of a golden index but focuses on using indices of vital organs to represent the senescence of whole body. This model has been used to assess the ageing process in a more precise way and may predict possible diseases better as compared with the chronological age (CA). The principal component analysis (PCA) is applied as one of the common and frequently used methods in the construction of the BA formula. Compared with other methods, PCA has its own study procedures and features. Herein we summarize the up-to-date knowledge about the BA formula construction and discuss the influential factors, so as to give an overview of BA estimate by PCA, including composition of samples, choices of test items, and selection of ageing biomarkers. We also discussed the advantages and disadvantages of PCA with reference to the construction mechanism, accuracy, and practicability of several common methods in the construction of the BA formula. Hindawi Publishing Corporation 2016 2016-12-06 /pmc/articles/PMC5168481/ /pubmed/28050560 http://dx.doi.org/10.1155/2016/4697017 Text en Copyright © 2016 Linpei Jia et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Jia, Linpei Zhang, Weiguang Jia, Rufu Zhang, Hongliang Chen, Xiangmei Construction Formula of Biological Age Using the Principal Component Analysis |
title | Construction Formula of Biological Age Using the Principal Component Analysis |
title_full | Construction Formula of Biological Age Using the Principal Component Analysis |
title_fullStr | Construction Formula of Biological Age Using the Principal Component Analysis |
title_full_unstemmed | Construction Formula of Biological Age Using the Principal Component Analysis |
title_short | Construction Formula of Biological Age Using the Principal Component Analysis |
title_sort | construction formula of biological age using the principal component analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168481/ https://www.ncbi.nlm.nih.gov/pubmed/28050560 http://dx.doi.org/10.1155/2016/4697017 |
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