Literature DB >> 31693736

Association of Blood Chemistry Quantifications of Biological Aging With Disability and Mortality in Older Adults.

Daniel C Parker1,2, Bryce N Bartlett3, Harvey J Cohen1,2, Gerda Fillenbaum2,4, Janet L Huebner5, Virginia Byers Kraus2,5,6, Carl Pieper2,7, Daniel W Belsky8,9.   

Abstract

Quantification of biological aging has been proposed for population surveillance of age-related decline in system integrity and evaluation of geroprotective therapies. However, methods of quantifying biological aging have been little studied in geriatric populations. We analyzed three clinical-biomarker-algorithm methods to quantify biological aging. Klemera-Doubal method Biological Age and homeostatic dysregulation algorithms were parameterized from analysis of U.S. National Health and Nutrition Examination Surveys (NHANES) data (N = 36,207) based on published methods. Levine method Biological Age was adapted from published analysis of NHANES data. Algorithms were applied to biomarker data from the Duke Established Populations for Epidemiologic Studies of the Elderly (Duke-EPESE) cohort of older adults (N = 1,374, aged 71-102 years, 35% male, 52% African American). We tested associations of biological aging measures with participant reported Activities of daily living (ADL), instrumental activities of daily living (IADL) dependencies, and mortality. We evaluated the sensitivity of results to the demographic composition of reference samples and biomarker sets used to develop biological aging algorithms. African American and white Duke-EPESE participants with more advanced biological aging reported dependence in more ADLs and IADLs and were at increased risk of death over follow-up through 2017. Effect sizes were similar across algorithms, but were strongest for Levine method Biological Age (per-quintile increase in ADL incidence rate ratio = 1.25, 95% confidence interval [1.17-1.37], IADL incidence rate ratio = 1.23 [1.15-1.32], mortality hazard ratio = 1.12 [1.08-1.16]). Results were insensitive to demographic composition of reference samples, but modestly sensitive to the biomarker sets used to develop biological aging algorithms. Blood-chemistry-based quantifications of biological aging show promise for evaluating the effectiveness of interventions to extend healthy life span in older adults.
© The Author(s) 2019. 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:  Age-related pathology; Bioinformatics; Human aging; Mortality

Mesh:

Substances:

Year:  2020        PMID: 31693736      PMCID: PMC7494046          DOI: 10.1093/gerona/glz219

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


  42 in total

1.  Comparability of national death index plus and standard procedures for determining causes of death in epidemiologic studies.

Authors:  M M Doody; H M Hayes; R Bilgrad
Journal:  Ann Epidemiol       Date:  2001-01       Impact factor: 3.797

2.  The Longitudinal Study of Aging in Human Young Adults: Knowledge Gaps and Research Agenda.

Authors:  Terrie E Moffitt; Daniel W Belsky; Andrea Danese; Richie Poulton; Avshalom Caspi
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-10-07       Impact factor: 6.053

3.  Changes in functional status and the risks of subsequent nursing home placement and death.

Authors:  F D Wolinsky; C M Callahan; J F Fitzgerald; R J Johnson
Journal:  J Gerontol       Date:  1993-05

Review 4.  The risks of biomarker-based epidemiology: Associations of circulating calcium levels with age, mortality, and frailty vary substantially across populations.

Authors:  Alan A Cohen; Véronique Legault; Georg Fuellen; Tamàs Fülöp; Linda P Fried; Luigi Ferrucci
Journal:  Exp Gerontol       Date:  2017-07-16       Impact factor: 4.032

5.  Quantification of biological aging in young adults.

Authors:  Daniel W Belsky; Avshalom Caspi; Renate Houts; Harvey J Cohen; David L Corcoran; Andrea Danese; HonaLee Harrington; Salomon Israel; Morgan E Levine; Jonathan D Schaefer; Karen Sugden; Ben Williams; Anatoli I Yashin; Richie Poulton; Terrie E Moffitt
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-06       Impact factor: 11.205

Review 6.  Dynamics of biomarkers in relation to aging and mortality.

Authors:  Konstantin G Arbeev; Svetlana V Ukraintseva; Anatoliy I Yashin
Journal:  Mech Ageing Dev       Date:  2016-04-29       Impact factor: 5.432

7.  Measures of Biologic Age in a Community Sample Predict Mortality and Age-Related Disease: The Framingham Offspring Study.

Authors:  Joanne M Murabito; Qiang Zhao; Martin G Larson; Jian Rong; Honghuang Lin; Emelia J Benjamin; Daniel Levy; Kathryn L Lunetta
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-05-09       Impact factor: 6.053

8.  Heterogeneity of Human Aging and Its Assessment.

Authors:  Arnold Mitnitski; Susan E Howlett; Kenneth Rockwood
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-07-01       Impact factor: 6.053

9.  Longevity and aging.

Authors:  Matt Kaeberlein
Journal:  F1000Prime Rep       Date:  2013-03-04

10.  Optimal Versus Realized Trajectories of Physiological Dysregulation in Aging and Their Relation to Sex-Specific Mortality Risk.

Authors:  Konstantin G Arbeev; Alan A Cohen; Liubov S Arbeeva; Emmanuel Milot; Eric Stallard; Alexander M Kulminski; Igor Akushevich; Svetlana V Ukraintseva; Kaare Christensen; Anatoliy I Yashin
Journal:  Front Public Health       Date:  2016-01-25
View more
  10 in total

1.  Comparing Biological Age Estimates Using Domain-Specific Measures From the Canadian Longitudinal Study on Aging.

Authors:  Chris P Verschoor; Daniel W Belsky; Jinhui Ma; Alan A Cohen; Lauren E Griffith; Parminder Raina
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-01-18       Impact factor: 6.053

2.  DunedinPACE, a DNA methylation biomarker of the pace of aging.

Authors:  Daniel W Belsky; Avshalom Caspi; David L Corcoran; Karen Sugden; Richie Poulton; Louise Arseneault; Andrea Baccarelli; Kartik Chamarti; Xu Gao; Eilis Hannon; Hona Lee Harrington; Renate Houts; Meeraj Kothari; Dayoon Kwon; Jonathan Mill; Joel Schwartz; Pantel Vokonas; Cuicui Wang; Benjamin S Williams; Terrie E Moffitt
Journal:  Elife       Date:  2022-01-14       Impact factor: 8.713

3.  Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods.

Authors:  Gloria H Graf; Christopher L Crowe; Meeraj Kothari; Dayoon Kwon; Jennifer J Manly; Indira C Turney; Linda Valeri; Daniel W Belsky
Journal:  Am J Epidemiol       Date:  2022-03-24       Impact factor: 5.363

4.  Associations of Loneliness and Social Isolation With Health Span and Life Span in the U.S. Health and Retirement Study.

Authors:  Christopher L Crowe; Benjamin W Domingue; Gloria H Graf; Katherine M Keyes; Dayoon Kwon; Daniel W Belsky
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-10-13       Impact factor: 6.053

5.  A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge.

Authors:  Dayoon Kwon; Daniel W Belsky
Journal:  Geroscience       Date:  2021-11-02       Impact factor: 7.713

6.  A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study.

Authors:  Xingqi Cao; Guanglai Yang; Xurui Jin; Liu He; Xueqin Li; Zhoutao Zheng; Zuyun Liu; Chenkai Wu
Journal:  Front Med (Lausanne)       Date:  2021-12-01

7.  Association Between Functional Limitations and Incident Cardiovascular Diseases and All-Cause Mortality Among the Middle-Aged and Older Adults in China: A Population-Based Prospective Cohort Study.

Authors:  Zhao Hu; Baohua Zheng; Atipatsa Chiwanda Kaminga; Feixiang Zhou; Huilan Xu
Journal:  Front Public Health       Date:  2022-02-11

8.  An objective metric of individual health and aging for population surveys.

Authors:  Qing Li; Véronique Legault; Vincent-Daniel Girard; Luigi Ferrucci; Linda P Fried; Alan A Cohen
Journal:  Popul Health Metr       Date:  2022-03-31

9.  Role of sleep quality in the acceleration of biological aging and its potential for preventive interaction on air pollution insults: Findings from the UK Biobank cohort.

Authors:  Xu Gao; Ninghao Huang; Xinbiao Guo; Tao Huang
Journal:  Aging Cell       Date:  2022-04-14       Impact factor: 11.005

10.  Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy.

Authors:  Maxwell L Elliott; Avshalom Caspi; Renate M Houts; Antony Ambler; Jonathan M Broadbent; Robert J Hancox; HonaLee Harrington; Sean Hogan; Ross Keenan; Annchen Knodt; Joan H Leung; Tracy R Melzer; Suzanne C Purdy; Sandhya Ramrakha; Leah S Richmond-Rakerd; Antoinette Righarts; Karen Sugden; W Murray Thomson; Peter R Thorne; Benjamin S Williams; Graham Wilson; Ahmad R Hariri; Richie Poulton; Terrie E Moffitt
Journal:  Nat Aging       Date:  2021-03-15
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.