A novel healthy metabolic phenotype developed among a cohort of families enriched for longevity

Long Life Family Study

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3 Scopus citations

Abstract

Background: Long-lived individuals and their offspring have healthier metabolic characteristics than expected, such as more favorable levels of fasting glucose, insulin, and lipids than controls without longevity. Dysregulation in metabolic pathways has also shown to predict accelerated aging. Using information from the Long Life Family Study (LLFS), a multi-center study of two-generation families selected for exceptional longevity, we developed an indicator of healthy metabolism to determine whether metabolic health was more prevalent in a subset of LLFS families and whether it was heritable and associated with other metrics of healthy aging. Methods: A Latent Profile Analysis was applied to age- and gender-adjusted z-scores of fasting levels of glucose, insulin, triglycerides, and high-density lipoprotein cholesterol, body mass index, waist circumference, interleukin-6, and C-reactive protein. Families were defined as meeting the healthy metabolic phenotype if ≥2 and ≥50% of their offspring were classified into a latent subgroup with a profile of healthier metabolic markers than expected given age and gender relative to all LLFS offspring. Results: The log odds of being classified into the latent subgroup with a healthy profile of metabolic markers was heritable (h 2 = 0.40, p < 0.001). Among 388 families, 39 (10%) met the healthy metabolic phenotype. Participants from these families had somewhat better cognition than those from remaining families. Proband-generation participants from families who met the healthy metabolic phenotype also had better pulmonary functioning and physical performance. Conclusions: The better cognition, pulmonary function, and physical performance among probands from families with the healthy metabolic phenotype may indicate that this subset of LLFS families have a more extreme longevity phenotype than other LLFS families since cognitive, physical, and pulmonary function are top mortality predictors for older adults. Future work is needed to determine if rare or protective alleles confer a healthy metabolic phenotype in this subset of LLFS families with exceptional metabolism.

Original languageEnglish (US)
Pages (from-to)28-38
Number of pages11
JournalMetabolism: clinical and experimental
Volume94
DOIs
StatePublished - May 2019

Bibliographical note

Funding Information:
Funding: This work was supported by the National Institute on Aging at National Institutes of Health cooperative agreements U01-AG023712, U01-AG23744, U01-AG023746, U01-AG023749, and U01-AG023755. MMM is supported on the Epidemiology of Aging training grant at the University of Pittsburgh (NIA/NIH T32-AG0001810).

Funding Information:
Funding: This work was supported by the National Institute on Aging at National Institutes of Health cooperative agreements U01-AG023712 , U01-AG23744 , U01-AG023746 , U01-AG023749 , and U01-AG023755 . MMM is supported on the Epidemiology of Aging training grant at the University of Pittsburgh ( NIA/NIH T32-AG0001810 ).

Keywords

  • Cognition
  • Healthy aging
  • Longevity
  • Metabolism

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