Shilovsky G A, Putyatina T S, Ashapkin V V, Luchkina O S, Markov A V
Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia.
Biochemistry (Mosc). 2017 Dec;82(12):1480-1492. doi: 10.1134/S0006297917120070.
Measurements of variation are of great importance for studying the stability of pathological phenomena and processes. For the biology of aging, it is very important not only to determine average mortality, but also to study its stability in time and the size of fluctuations that are indicated by the variation coefficient of lifespan (CV). It is believed that a relatively small (~20%) value of CV in humans, comparable to the coefficients of variation of other events programmed in ontogenesis (for example, menarche and menopause), indicates a relatively rigid determinism (N. S. Gavrilova et al. (2012) Biochemistry (Moscow), 77, 754-760). To assess the prevalence of this phenomenon, we studied the magnitude of CV, as well as the coefficients of skewness and kurtosis in diverse representatives of the animal kingdom using data provided by the Institute for Demographic Research (O. R. Jones et al. (2014) Nature, 505, 169-173). We found that, unlike humans and laboratory animals, in most examined species the values of CV are rather high, indicating heterogeneity of the lifespan in the cohorts studied. This is probably due to the large influence of background mortality, as well as the non-monotonicity of total mortality in the wild, especially at the earliest ages. One way to account for this influence is to "truncate" the data (removing the earliest and latest ages from consideration). To reveal the effect of this procedure, we proposed a new indicator, the stability coefficient of mortality dynamics, which indicates how quickly CV is reduced to values that characterize a relatively homogeneous population (33%) when the data are "truncated". Such indicators facilitate the use of the parameters of survival curves for analysis of the effects of geroprotectors, lifestyle, and other factors on lifespan, and for the quantification of relative contributions of genetic and environmental factors to the dynamics of aging in human and animal populations, including those living in the wild.
变异测量对于研究病理现象和过程的稳定性非常重要。对于衰老生物学而言,不仅要确定平均死亡率,而且研究其随时间的稳定性以及由寿命变异系数(CV)表示的波动大小,这一点非常重要。人们认为,人类中相对较小(约20%)的CV值,与个体发育中其他程序化事件(例如初潮和绝经)的变异系数相当,表明存在相对严格的决定论(N. S. 加夫里洛娃等人(2012年),《生物化学(莫斯科)》,77卷,754 - 760页)。为了评估这种现象的普遍性,我们利用人口研究所在提供的数据,研究了动物界不同代表物种的CV大小以及偏度和峰度系数(O. R. 琼斯等人(2014年),《自然》,505卷,169 - 173页)。我们发现,与人类和实验动物不同,在大多数被研究的物种中,CV值相当高,这表明所研究队列中寿命存在异质性。这可能是由于背景死亡率的巨大影响,以及野外总死亡率的非单调性,尤其是在最早的年龄段。考虑这种影响的一种方法是“截断”数据(从考虑中去除最早和最晚的年龄)。为了揭示该程序的效果,我们提出了一个新指标,即死亡率动态稳定性系数,它表明当数据被“截断”时,CV能多快降低到表征相对同质群体的值(33%)。这些指标有助于利用生存曲线参数来分析老年保护剂、生活方式和其他因素对寿命的影响,以及量化遗传和环境因素对人类和动物群体(包括野生群体)衰老动态的相对贡献。