Barral Sandra, Singh Jatinder, Fagan Erin, Cosentino Stephanie, Andersen-Toomey Stacy L, Wojczynski Mary K, Feitosa Mary, Kammerer Candace M, Schupf Nicole
G.H. Sergievsky Center, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University Medical Center, New York, New York.
Departments of Epidemiology and of Human Genetics, Center for Aging and Population Health University of Pittsburgh, Pennsylvania.
J Gerontol A Biol Sci Med Sci. 2017 Nov 9;72(12):1683-1688. doi: 10.1093/gerona/glx034.
We previously demonstrated familial aggregation of memory performance within the Long Life Family Study (LLFS), suggesting that exceptional cognition (EC) may contribute to their exceptional longevity. Here, we investigated whether LLFS families with EC may also exhibit more favorable profiles of other age-related biomarkers.
Nondemented offspring of the LLFS probands scoring 1.5 SD above the mean in a cognitive phenotype were classified as participants with EC. Families were categorized into EC (n = 28) and non-EC families (n = 433) based on having at least two EC offspring. Adjusted general estimating equations were used to investigate whether EC families had a better longevity and age-related biomarker profiles than non-EC families.
EC families exhibited higher scores on familial longevity than non-EC families (average Family Longevity Selection Score of 12 ± 7 vs 9 ± 8, p = 2.5 × 10-14). EC families showed a better a metabolic profile (β = -0.63, SE = 0.23, p = .006) than non-EC families. The healthier metabolic profile is related to obesity in an age-dependent fashion. The prevalence of obesity in EC families is significantly lower compared with non-EC families (38% vs 51%, p = .015) among family members less than 80 years of age; however, among EC family members 80 years of age and older, the prevalence of obesity is higher (40% vs 38%, p = .011). EC families also showed better physical/pulmonary function than non-EC families (β = 0.51, SE = 0.25, p = .042).
Long-live families with EC are characterized by a healthier metabolic profile which is related to the prevalence of obesity in the older family members. Our results suggest that familial exceptional longevity may be achieved through heterogeneous yet correlated pathways.
我们之前在长寿家庭研究（LLFS）中证明了记忆表现的家族聚集性，这表明卓越认知（EC）可能有助于他们的超长寿命。在此，我们调查了具有卓越认知的LLFS家庭是否也可能表现出更有利的其他与年龄相关生物标志物特征。
LLFS先证者的非痴呆后代在一种认知表型中得分高于均值1.5个标准差，被分类为具有卓越认知的参与者。根据至少有两个具有卓越认知的后代，将家庭分为卓越认知家庭（n = 28）和非卓越认知家庭（n = 433）。使用调整后的广义估计方程来调查卓越认知家庭是否比非卓越认知家庭具有更好的长寿和与年龄相关的生物标志物特征。
卓越认知家庭在家族长寿方面的得分高于非卓越认知家庭（家族长寿选择平均得分12 ± 7对9 ± 8，p = 2.5 × 10-14）。卓越认知家庭比非卓越认知家庭表现出更好的代谢特征（β = -0.63，标准误 = 0.23，p = .006）。更健康的代谢特征与年龄相关的肥胖呈依赖关系。在80岁以下家庭成员中，卓越认知家庭的肥胖患病率显著低于非卓越认知家庭（38%对51%，p = .015）；然而，在80岁及以上的卓越认知家庭成员中，肥胖患病率更高（40%对38%，p = .011）。卓越认知家庭也比非卓越认知家庭表现出更好的身体/肺功能（β = 0.51，标准误 = 0.25，p = .042）。
具有卓越认知的长寿家庭的特征是更健康的代谢特征，这与老年家庭成员的肥胖患病率有关。我们的结果表明，家族性超长寿命可能通过异质性但相关的途径实现。
