title: Exceptional survivors have lower age trajectories of blood glucose: lessons from longitudinal data.
abstract: Exceptional survival results from complicated interplay between genetic and environmental factors. The effects of these factors on survival are mediated by the biological and physiological variables, which affect mortality risk. In this paper, we evaluated the role of blood glucose (BG) in exceptional survival using the Framingham heart study data for the main (FHS) and offspring (FHSO) cohorts. We found that: (1) the average cross-sectional age patterns of BG change over time; (2) the values of BG level among the longest lived individuals in this study differ for different sub-cohorts; (3) the longitudinal age patterns of BG differ from those of cross-sectional ones. We investigated mechanisms forming average age trajectories of BG in the FHS cohort. We found that the two curves: one, characterizing the average effects of allostatic adaptation, and another, minimizing mortality risk for any given age, play the central role in this process. We found that the average BG age trajectories for exceptional survivors are closer to the curve minimizing mortality risk than those of individuals having shorter life spans. We concluded that individuals whose age trajectories of BG are located around the curve minimizing chances of premature death at each given age have highest chances of reaching exceptional longevity.
authors: Center for Population Health and Aging, Duke University, Durham, NC 27708-0408, USA. aiy@duke.edu
authors: Anatoli I
authors: AI
authors: Yashin
authors: Konstantin G
authors: KG
authors: Arbeev
authors: Igor
authors: I
authors: Akushevich
authors: Svetlana V
authors: SV
authors: Ukraintseva
authors: Alexander
authors: A
authors: Kulminski
authors: Liubov S
authors: LS
authors: Arbeeva
authors: Irina
authors: I
authors: Culminskaya
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000097:blood*; D001786:Blood Glucose / Q000032:analysis*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D013269:Stochastic Processes
chemical_list: D001786:Blood Glucose