Literature DB >> 28531269

Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis.

Daniel W Belsky1,2,3,4, Kim M Huffman1,2,5, Carl F Pieper1,2,6, Idan Shalev7, William E Kraus1,2,5.   

Abstract

Biological aging measures have been proposed as proxies for extension of healthy life span in trials of geroprotective therapies that aim to slow aging. Several methods to measure biological aging show promise but it is not known if these methods are sensitive to changes caused by geroprotective therapy. We conducted analysis of two proposed methods to quantify biological aging using data from a recently concluded trial of an established geroprotector, caloric restriction. We obtained data from the National Institute on Aging CALERIE randomized trial through its public-access biobank (https://calerie.duke.edu/). The CALERIE trial randomized N = 220 nonobese adults to 25% caloric restriction (n = 145; 11.7% caloric restriction was achieved, on average) or to maintain current diet (n = 75) for 2 years. We analyzed biomarker data collected at baseline, 12-, and 24-month follow-up assessments. We applied published biomarker algorithms to these data to calculate two biological age measures, Klemera-Doubal Method Biological Age and homeostatic dysregulation. Intent-to-treat analysis using mixed-effects growth models of within-person change over time tested if caloric restriction slowed increase in measures of biological aging across follow-up. Analyses of both measures indicated caloric restriction slowed biological aging. Weight loss did not account for the observed effects. Results suggest future directions for testing of geroprotective therapies in humans.
© The Author(s) 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Biological age; Caloric restriction; Geroprotector; Geroscience

Mesh:

Year:  2017        PMID: 28531269      PMCID: PMC5861848          DOI: 10.1093/gerona/glx096

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  57 in total

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4.  An empirical comparative study on biological age estimation algorithms with an application of Work Ability Index (WAI).

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5.  White blood cell count and mortality in the Baltimore Longitudinal Study of Aging.

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6.  A comparison of methods for assessing mortality risk.

Authors:  Morgan E Levine; Eileen M Crimmins
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7.  Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy Phase 2 (CALERIE Phase 2) screening and recruitment: methods and results.

Authors:  T M Stewart; M Bhapkar; S Das; K Galan; C K Martin; L McAdams; C Pieper; L Redman; S Roberts; R I Stein; J Rochon; D A Williamson
Journal:  Contemp Clin Trials       Date:  2012-09-05       Impact factor: 2.226

8.  Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

9.  The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936.

Authors:  Riccardo E Marioni; Sonia Shah; Allan F McRae; Stuart J Ritchie; Graciela Muniz-Terrera; Sarah E Harris; Jude Gibson; Paul Redmond; Simon R Cox; Alison Pattie; Janie Corley; Adele Taylor; Lee Murphy; John M Starr; Steve Horvath; Peter M Visscher; Naomi R Wray; Ian J Deary
Journal:  Int J Epidemiol       Date:  2015-01-22       Impact factor: 7.196

10.  Effects of 2-year calorie restriction on circulating levels of IGF-1, IGF-binding proteins and cortisol in nonobese men and women: a randomized clinical trial.

Authors:  Luigi Fontana; Dennis T Villareal; Sai K Das; Steven R Smith; Simin N Meydani; Anastassios G Pittas; Samuel Klein; Manjushri Bhapkar; James Rochon; Eric Ravussin; John O Holloszy
Journal:  Aging Cell       Date:  2015-10-06       Impact factor: 9.304

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1.  Testing Proposed Quantifications of Biological Aging in Taiwanese Older Adults.

Authors:  Lauren Gaydosh; Daniel W Belsky; Dana A Glei; Noreen Goldman
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2.  Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing?

Authors:  Daniel W Belsky; Terrie E Moffitt; Alan A Cohen; David L Corcoran; Morgan E Levine; Joseph A Prinz; Jonathan Schaefer; Karen Sugden; Benjamin Williams; Richie Poulton; Avshalom Caspi
Journal:  Am J Epidemiol       Date:  2018-06-01       Impact factor: 4.897

Review 3.  The genetics of human ageing.

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4.  Testing the Geroscience Hypothesis: Early Days.

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5.  Caloric Restriction Research: New Perspectives on the Biology of Aging.

Authors:  Rozalyn M Anderson; David G Le Couteur; Rafael de Cabo
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-12-12       Impact factor: 6.053

Review 6.  Reversing age-associated arterial dysfunction: insight from preclinical models.

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7.  Age-Related Adverse Inflammatory and Metabolic Changes Begin Early in Adulthood.

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8.  Development of Clinical Trials to Extend Healthy Lifespan.

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Journal:  Cardiovasc Endocrinol Metab       Date:  2018-12

Review 9.  Mechanisms of Dysfunction in the Aging Vasculature and Role in Age-Related Disease.

Authors:  Anthony J Donato; Daniel R Machin; Lisa A Lesniewski
Journal:  Circ Res       Date:  2018-09-14       Impact factor: 17.367

10.  Effects of Vitamin D3 Supplementation on Epigenetic Aging in Overweight and Obese African Americans With Suboptimal Vitamin D Status: A Randomized Clinical Trial.

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-01-01       Impact factor: 6.053

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