Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 5126 Public Health, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
Geroscience. 2019 Aug;41(4):383-393. doi: 10.1007/s11357-019-00086-y. Epub 2019 Jul 22.
Five healthy aging phenotypes were developed in the Long Life Family Study to uncover longevity pathways and determine if healthy aging across multiple systems clustered in a subset of long-lived families. Using blood pressure, memory, pulmonary function, grip strength, and metabolic measures (body mass index, waist circumference and fasting levels of glucose, insulin, triglycerides, lipids, and inflammatory markers), offspring were ranked according to relative health using gender-, age-, and relevant confounder-adjusted z-scores. Based on our prior work, families met a healthy aging phenotype if ≥ 2 and ≥ 50% of their offspring were exceptionally healthy for that respective phenotype. Among 426 families, only two families met criteria for three healthy aging phenotypes and none met criteria for four or more healthy aging phenotypes. Using Spearman correlation, the proportion of offspring within families with exceptionally healthy pulmonary function was correlated with the proportion of offspring within families with exceptional strength (r = 0.19, p = 0.002). The proportion of offspring within families meeting the healthy blood pressure and metabolic phenotypes were also correlated (r = 0.14, p = 0.006), and more families were classified as meeting healthy blood pressure and metabolic phenotypes (Kappa = 0.10, p = 0.02), as well as the healthy pulmonary and blood pressure phenotypes than expected by chance (Kappa = 0.09, p = 0.03). Other phenotypes were weakly correlated (|r| ≤ 0.07) with low pairwise agreement (Kappa ≤ 0.06). Among these families selected for familial longevity, correspondence between healthy aging phenotypes was weak, supporting the heterogeneous nature of longevity and suggesting biological underpinnings of each individual phenotype should be examined separately to determine their shared and unique determinants.
五种健康衰老表型在长寿家族研究中被开发出来,以揭示长寿途径,并确定多个系统的健康衰老是否在一组长寿家族中聚集。使用血压、记忆、肺功能、握力和代谢指标(体重指数、腰围和空腹血糖、胰岛素、甘油三酯、血脂和炎症标志物),根据性别、年龄和相关混杂因素调整后的 z 分数,根据相对健康对后代进行排名。根据我们之前的工作,如果一个家族有≥2 个且≥50%的后代在该表型中具有异常健康,那么该家族就符合健康衰老表型的标准。在 426 个家族中,只有两个家族符合三种健康衰老表型的标准,没有一个家族符合四种或更多健康衰老表型的标准。使用 Spearman 相关系数,家族中具有异常健康肺功能的后代比例与家族中具有异常强壮的后代比例相关(r=0.19,p=0.002)。家族中具有健康血压和代谢表型的后代比例也呈正相关(r=0.14,p=0.006),并且更多的家族被归类为具有健康血压和代谢表型(Kappa=0.10,p=0.02),以及健康的血压和肺功能表型,这比随机预期的要多(Kappa=0.09,p=0.03)。其他表型与低配对一致性(Kappa≤0.06)的相关性较弱(|r|≤0.07)。在这些被选为具有家族长寿的家族中,健康衰老表型之间的一致性较弱,这支持了长寿的异质性性质,并表明应该分别检查每个个体表型的生物学基础,以确定它们的共同和独特决定因素。