Patterns of multi-domain cognitive aging in participants of the Long Life Family Study
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ORIGINAL ARTICLE
Patterns of multi-domain cognitive aging in participants of the Long Life Family Study Paola Sebastiani & Stacy L. Andersen & Benjamin Sweigart & Mengtian Du & Stephanie Cosentino & Bharat Thyagarajan & Kaare Christensen & Nicole Schupf & Thomas T Perls
Received: 16 April 2020 / Accepted: 8 May 2020 # American Aging Association 2020
Abstract Maintaining good cognitive function at older age is important, but our knowledge of patterns and predictors of cognitive aging is still limited. We used Bayesian model-based clustering to group 5064
participants of the Long Life Family Study (ages 49– 110 years) into clusters characterized by distinct trajectories of cognitive change in the domains of episodic memory, attention, processing speed, and verbal
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11357-020-00202-3) contains supplementary material, which is available to authorized users. P. Sebastiani (*) : B. Sweigart : M. Du Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118, USA e-mail: [email protected]
West 168th Street, New York, NY 10032, USA
S. Cosentino e-mail: [email protected]
B. Sweigart e-mail: [email protected]
N. Schupf e-mail: [email protected]
M. Du e-mail: [email protected]
B. Thyagarajan Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, MMC 609 Mayo, 420 Delaware, Minneapolis, MN 55455, USA e-mail: [email protected]
S. L. Andersen : T. T. Perls Department of Medicine, Geriatrics Section, Boston University School of Medicine, Robinson 2400, 72 E Concord St, Boston, MA 02118, USA
S. L. Andersen e-mail: [email protected] T. T. Perls e-mail: [email protected] S. Cosentino : N. Schupf Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, and the Gertrude H. Sergievsky Center, Columbia University Medical Center, 630
K. Christensen Department of Public Health, The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, 5000 Odense, Denmark e-mail: [email protected] N. Schupf Department of Epidemiology, Sergievsky Center, Columbia University Mailman School of Public Health, 630 West 168th Street, New York, NY 10032, USA
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fluency. For each domain, we identified 4 or 5 large clusters with representative patterns of change ranging from rapid decline to exceptionally slow change. We annotated the clusters by their correlation with genetic and molecular biomarkers, non-genetic risk factors, medical history, and other markers of aging to discover correlates of cognitive changes and neuroprotection. The annotation analysis discovered both predictors of multi-domain cognitive change such as gait speed and predictors of domain-specific cognitive change such as IL6 and NTproBNP that correlate only with change of processing speed or APOE genotypes that correlate only with change of processing speed and lo
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