Patterns of Aging Biomarkers, Mortality, and Damaging Mutations Illuminate the Beginning of Aging and Causes of Early-Life Mortality

被引:37
作者
Kinzina, Elvira D. [1 ,2 ]
Podolskiy, Dmitriy I. [3 ,4 ]
Dmitriev, Sergey E. [1 ]
Gladyshev, Vadim N. [3 ,4 ]
机构
[1] Moscow MV Lomonosov State Univ, Belozersky Inst Physicochem Biol, Moscow 119992, Russia
[2] MIT, Computat & Syst Biol Program, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Brigham & Womens Hosp, Dept Med, Div Genet, 75 Francis St, Boston, MA 02115 USA
[4] Harvard Med Sch, Boston, MA 02115 USA
关键词
EVOLUTION; AGE; SENESCENCE; DISEASE; GENES; MODEL; PREVALENCE; LONGEVITY; DISCOVERY; KNOCKOUTS;
D O I
10.1016/j.celrep.2019.11.091
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
An increase in the probability of death has been a defining feature of aging, yet human perinatal mortality starts high and decreases with age. Previous evolutionary models suggested that organismal aging begins after the onset of reproduction. However, we find that mortality and incidence of diseases associated with aging follow a U-shaped curve with the minimum before puberty, whereas quantitative biomarkers of aging, including somatic mutations and DNA methylation, do not, revealing that aging starts early but is masked by early-life mortality. Moreover, our genetic analyses point to the contribution of damaging mutations to early mortality. We propose that mortality patterns are governed, in part, by negative selection against damaging mutations in early life, manifesting after the corresponding genes are first expressed. Deconvolution of mortality patterns suggests that deleterious changes rather than mortality are the defining characteristic of aging and that aging begins in very early life.
引用
收藏
页码:4276 / +
页数:12
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