| Chapter title |
Biomarkers of Aging
|
|---|---|
| Chapter number | 14 |
| Book title |
Aging and Aging-Related Diseases
|
| Published in |
Advances in experimental medicine and biology, January 2018
|
| DOI | 10.1007/978-981-13-1117-8_14 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-131116-1, 978-9-81-131117-8
|
| Authors |
Xiaojuan Bai, Bai, Xiaojuan |
| Abstract |
Biomarkers of aging are a biological parameter that can predict the functional status of an individual in the absence of disease and can be used to better predict morbidity and mortality, compared to using the chronological age alone. Most of aging biomarkers were gene, molecules, and protein, which were found in basic scientific researches, such as telomeres, proteomics, cytokines, etc. However, it is almost impossible for single biomarkers to fully reveal the mechanism of aging. Because of the complexity of aging process, the biomarkers of aging may need to be composed of multiple genes, proteins, and metabolites. The biological age is based on the setting of biological markers, which is a parameter for evaluating the functional status of the individual. Aging is not only dependent on the process of time. The chronological age is only the evaluation indicators of time scale in the aging process. Therefore, biological age can be more representative of the true degree of aging than chronological age, which provides a quantitative standard for individualized aging. According to the factor score, we established biological age score (BAS) = 0.248 (CA) + 0.195 (IMT) - 0.196 (EDV) - 0.167 (E/A) - 0.166 (MVEL) + 0.188 (PP) + 0.182(FIB) + 0.193 (CYSC) through 7 aging biomarkers selected from 108 variables. The study found the rate of aging was gradually increased before the age of 75 years old and afterward entered a stable plateau. In the future, the new approach may be needed to investigate the mechanisms and evaluation of aging. |
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Mendeley readers
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