Centre for Ecology and Conservation, University of Exeter, Cornwall Campus, Treliever Road, Penryn, Cornwall, TR10 9FE, UK.
MaxNetAging Research School, Max Planck Institute for Demographic Research, Konrad-Zuse-Straße 1, 18057, Rostock, Germany.
Biogerontology. 2018 Feb;19(1):1-12. doi: 10.1007/s10522-017-9729-1. Epub 2017 Sep 15.
Studies examining how diet affects mortality risk over age typically characterise mortality using parameters such as aging rates, which condense how much and how quickly the risk of dying changes over time into a single measure. Demographers have suggested that decoupling the tempo and the magnitude of changing mortality risk may facilitate comparative analyses of mortality trajectories, but it is unclear what biologically meaningful information this approach offers. Here, we determine how the amount and ratio of protein and carbohydrate ingested by female Drosophila melanogaster affects how much mortality risk increases over a time-standardised life-course (the shape of aging) and the tempo at which animals live and die (the pace of aging). We find that pace values increased as flies consumed more carbohydrate but declined with increasing protein consumption. Shape values were independent of protein intake but were lowest in flies consuming ~90 μg of carbohydrate daily. As protein intake only affected the pace of aging, varying protein intake rescaled mortality trajectories (i.e. stretched or compressed survival curves), while varying carbohydrate consumption caused deviation from temporal rescaling (i.e. changed the topography of time-standardised survival curves), by affecting pace and shape. Clearly, the pace and shape of aging may vary independently in response to dietary manipulation. This suggests that there is the potential for pace and shape to evolve independently of one another and respond to different physiological processes. Understanding the mechanisms responsible for independent variation in pace and shape, may offer insight into the factors underlying diverse mortality trajectories.
研究饮食如何影响年龄相关的死亡率,通常使用诸如衰老率等参数来描述死亡率,这些参数将死亡风险随时间变化的幅度和速度综合为一个单一的指标。人口统计学家提出,解耦死亡率风险变化的速度和幅度,可能有助于对死亡率轨迹进行比较分析,但这种方法提供了什么具有生物学意义的信息尚不清楚。在这里,我们确定雌性黑腹果蝇摄入的蛋白质和碳水化合物的量和比例如何影响死亡率风险在标准化生命过程中的增加量(衰老的形状)以及动物生存和死亡的速度(衰老的速度)。我们发现,随着苍蝇消耗更多的碳水化合物,速度值增加,但随着蛋白质消耗的增加而下降。形状值与蛋白质摄入无关,但在每天摄入约 90μg 碳水化合物的苍蝇中最低。由于蛋白质摄入仅影响衰老速度,因此改变蛋白质摄入会重新调整死亡率轨迹(即拉伸或压缩生存曲线),而改变碳水化合物消耗会导致偏离时间重新调整(即改变时间标准化生存曲线的地形),这是通过影响速度和形状来实现的。显然,衰老的速度和形状可能会因饮食干预而独立变化。这表明衰老的速度和形状可能独立于彼此而进化,并对不同的生理过程做出反应。了解导致速度和形状独立变化的机制,可能有助于深入了解导致不同死亡率轨迹的因素。