Department of Anthropology, Northwestern University, Evanston, Illinois, USA.
Institute for Policy Research, Northwestern University, Evanston, Illinois, USA.
Am J Hum Biol. 2023 Nov;35(11):e23948. doi: 10.1002/ajhb.23948. Epub 2023 Jun 20.
The drivers of human life expectancy gains over the past 200 years are not well-established, with a potential role for historical reductions in infectious disease. We investigate whether infectious exposures in infancy predict biological aging using DNA methylation-based markers that forecast patterns of morbidity and mortality later in life.
N = 1450 participants from the Cebu Longitudinal Health and Nutrition Survey-a prospective birth cohort initiated in 1983-provided complete data for the analyses. Mean chronological age was 20.9 years when venous whole blood samples were drawn for DNA extraction and methylation analysis, with subsequent calculation of three epigenetic age markers: Horvath, GrimAge, and DunedinPACE. Unadjusted and adjusted least squares regression models were evaluated to test the hypothesis that infectious exposures in infancy are associated with epigenetic age.
Birth in the dry season, a proxy measure for increased infectious exposure in the first year of life, as well as the number of symptomatic infections in the first year of infancy, predicted lower epigenetic age. Infectious exposures were associated with the distribution of white blood cells in adulthood, which were also associated with measures of epigenetic age.
We document negative associations between measures of infectious exposure in infancy and DNA methylation-based measures of aging. Additional research, across a wider range of epidemiological settings, is needed to clarify the role of infectious disease in shaping immunophenotypes and trajectories of biological aging and human life expectancy.
过去 200 年来,人类预期寿命增长的驱动因素尚不清楚,而传染病的减少可能是其中一个原因。我们通过使用基于 DNA 甲基化的生物标志物来研究婴儿期的传染性暴露是否可以预测以后的发病和死亡率模式,从而探索传染病在多大程度上可以预测生物衰老。
1983 年启动的前瞻性出生队列——宿务纵向健康与营养调查(Cebu Longitudinal Health and Nutrition Survey,CLHNS)中的 1450 名参与者提供了完整的数据用于分析。当抽取静脉全血进行 DNA 提取和甲基化分析时,参与者的平均实际年龄为 20.9 岁,随后计算了三个表观遗传年龄标志物:Horvath、GrimAge 和 DunedinPACE。评估了未经调整和调整后的最小二乘回归模型,以检验婴儿期传染性暴露与表观遗传年龄相关的假设。
旱季出生(婴儿出生后第一年传染性暴露增加的替代指标)以及婴儿期第一年的症状性感染次数与较低的表观遗传年龄相关。传染性暴露与成年白细胞的分布有关,白细胞的分布也与表观遗传年龄的指标有关。
我们记录了婴儿期传染性暴露的衡量指标与基于 DNA 甲基化的衰老衡量指标之间的负相关关系。需要在更广泛的流行病学环境中进行更多的研究,以阐明传染病在塑造免疫表型和生物衰老轨迹以及人类预期寿命方面的作用。