Biomarkers of Aging
Biomarkers of Aging
复制标题
DOI：
10.1007/978-981-13-1117-8_14
复制
发表时间：
2018-01-01
期刊：
影响因子：
--
通讯作者：
Bai, Xiaojuan
中科院分区：
文献类型：
--
作者：
Bai, Xiaojuan
衰老的生物标志物是一种生物学参数，与单独使用实际年龄相比，它可以预测个体在没有疾病的情况下的功能状态，并且可以用于更好地预测发病率和死亡率。衰老生物标志物多为基因、分子、蛋白质等，多见于端粒、蛋白质组学、细胞因子等基础科学研究中，但单一的生物标志物几乎不可能全面揭示衰老的机制。由于衰老过程的复杂性，衰老的生物标志物可能需要由多个基因、蛋白质和代谢产物组成。生物学年龄是基于生物学标志物的设置，生物学标志物是用于评估个体功能状态的参数。衰老不仅仅取决于时间的进程。实际年龄只是老化过程中时间尺度的评价指标。因此，生物学年龄比实足年龄更能代表真实的衰老程度，为个体化衰老提供了量化标准。根据因子得分，从108个变量中筛选出7个衰老生物标志物，建立生物年龄得分（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）。研究发现，在75岁之前，衰老速度逐渐增加，之后进入稳定的平台期。在未来，可能需要新的方法来研究衰老的机制和评估。
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.