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

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          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.

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          Most cited references38

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          Is Open Access

          Aging of blood can be tracked by DNA methylation changes at just three CpG sites

          Background Human aging is associated with DNA methylation changes at specific sites in the genome. These epigenetic modifications may be used to track donor age for forensic analysis or to estimate biological age. Results We perform a comprehensive analysis of methylation profiles to narrow down 102 age-related CpG sites in blood. We demonstrate that most of these age-associated methylation changes are reversed in induced pluripotent stem cells (iPSCs). Methylation levels at three age-related CpGs - located in the genes ITGA2B, ASPA and PDE4C - were subsequently analyzed by bisulfite pyrosequencing of 151 blood samples. This epigenetic aging signature facilitates age predictions with a mean absolute deviation from chronological age of less than 5 years. This precision is higher than age predictions based on telomere length. Variation of age predictions correlates moderately with clinical and lifestyle parameters supporting the notion that age-associated methylation changes are associated more with biological age than with chronological age. Furthermore, patients with acquired aplastic anemia or dyskeratosis congenita - two diseases associated with progressive bone marrow failure and severe telomere attrition - are predicted to be prematurely aged. Conclusions Our epigenetic aging signature provides a simple biomarker to estimate the state of aging in blood. Age-associated DNA methylation changes are counteracted in iPSCs. On the other hand, over-estimation of chronological age in bone marrow failure syndromes is indicative for exhaustion of the hematopoietic cell pool. Thus, epigenetic changes upon aging seem to reflect biological aging of blood.
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            Quantification of biological aging in young adults.

            Antiaging therapies show promise in model organism research. Translation to humans is needed to address the challenges of an aging global population. Interventions to slow human aging will need to be applied to still-young individuals. However, most human aging research examines older adults, many with chronic disease. As a result, little is known about aging in young humans. We studied aging in 954 young humans, the Dunedin Study birth cohort, tracking multiple biomarkers across three time points spanning their third and fourth decades of life. We developed and validated two methods by which aging can be measured in young adults, one cross-sectional and one longitudinal. Our longitudinal measure allows quantification of the pace of coordinated physiological deterioration across multiple organ systems (e.g., pulmonary, periodontal, cardiovascular, renal, hepatic, and immune function). We applied these methods to assess biological aging in young humans who had not yet developed age-related diseases. Young individuals of the same chronological age varied in their "biological aging" (declining integrity of multiple organ systems). Already, before midlife, individuals who were aging more rapidly were less physically able, showed cognitive decline and brain aging, self-reported worse health, and looked older. Measured biological aging in young adults can be used to identify causes of aging and evaluate rejuvenation therapies.
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              Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?

              Biological age (BA) is useful for examining differences in aging rates. Nevertheless, little consensus exists regarding optimal methods for calculating BA. The aim of this study is to compare the predictive ability of five BA algorithms. The sample included 9,389 persons, aged 30-75 years, from National Health and Nutrition Examination Survey III. During the 18-year follow-up, 1,843 deaths were counted. Each BA algorithm was compared with chronological age on the basis of predictive sensitivity and strength of association with mortality. Results found that the Klemera and Doubal method was the most reliable predictor of mortality and performed significantly better than chronological age. Furthermore, when included with chronological age in a model, Klemera and Doubal method had more robust predictive ability and caused chronological age to no longer be significantly associated with mortality. Given the potential of BA to highlight heterogeneity, the Klemera and Doubal method algorithm may be useful for studying a number of questions regarding the biology of aging.
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                Author and article information

                Journal
                J Gerontol A Biol Sci Med Sci
                J. Gerontol. A Biol. Sci. Med. Sci
                gerona
                The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
                Oxford University Press (US )
                1079-5006
                1758-535X
                January 2018
                22 May 2017
                01 January 2019
                : 73
                : 1 , Special Issue: Caloric Restriction and Restrictive Diets: Interventions that Target the Biology of Aging
                : 4-10
                Affiliations
                [1 ]Department of Medicine, Duke University School of Medicine, Durham, North Carolina
                [2 ]Center for the Study of Aging and Human Development, Durham, North Carolina
                [3 ]Center for Population Health Science, Duke University School of Medicine, Durham, North Carolina
                [4 ]Social Science Research Institute, Duke University, Durham, North Carolina
                [5 ]Duke Molecular Physiology Institute, Duke University, Durham, North Carolina
                [6 ]Department of Biostatistics, Duke University, Durham, North Carolina
                [7 ]Department of Biobehavioral Health, Pennsylvania State University, State College
                Author notes
                Address correspondence to: Daniel W. Belsky, PhD, Department of Medicine, Duke University School of Medicine, Durham, North Carolina. E-mail: Daniel.belsky@ 123456duke.edu
                Article
                PMC5861848 PMC5861848 5861848 glx096
                10.1093/gerona/glx096
                5861848
                28531269
                93ccf3a4-88ad-4509-9b2d-c1c704468f70
                © 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.
                History
                : 01 January 2017
                Page count
                Pages: 7
                Funding
                Funded by: NIA 10.13039/100000049
                Award ID: P30AG028716
                Award ID: R01AG032282
                Funded by: CALERIE Research Network
                Award ID: U24AG047121
                Categories
                The Journal of Gerontology: Biological Sciences
                Articles
                Editor's Choice

                Biological age,Geroprotector,Geroscience,Caloric restriction

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