Literature DB >> 29149257

Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing?

Daniel W Belsky1,2,3,4, Terrie E Moffitt5,6,7,8, Alan A Cohen9, David L Corcoran7, Morgan E Levine10, Joseph A Prinz7, Jonathan Schaefer5, Karen Sugden5, Benjamin Williams5, Richie Poulton11, Avshalom Caspi5,6,7,8.   

Abstract

The geroscience hypothesis posits that therapies to slow biological processes of aging can prevent disease and extend healthy years of life. To test such "geroprotective" therapies in humans, outcome measures are needed that can assess extension of disease-free life span. This need has spurred development of different methods to quantify biological aging. But different methods have not been systematically compared in the same humans. We implemented 7 methods to quantify biological aging using repeated-measures physiological and genomic data in 964 middle-aged humans in the Dunedin Study (New Zealand; persons born 1972-1973). We studied 11 measures in total: telomere-length and erosion, 3 epigenetic-clocks and their ticking rates, and 3 biomarker-composites. Contrary to expectation, we found low agreement between different measures of biological aging. We next compared associations between biological aging measures and outcomes that geroprotective therapies seek to modify: physical functioning, cognitive decline, and subjective signs of aging, including aged facial appearance. The 71-cytosine-phosphate-guanine epigenetic clock and biomarker composites were consistently related to these aging-related outcomes. However, effect sizes were modest. Results suggested that various proposed approaches to quantifying biological aging may not measure the same aspects of the aging process. Further systematic evaluation and refinement of measures of biological aging is needed to furnish outcomes for geroprotector trials.

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Year:  2018        PMID: 29149257      PMCID: PMC6248475          DOI: 10.1093/aje/kwx346

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  58 in total

1.  Decrease in timed balance test scores with aging.

Authors:  R W Bohannon; P A Larkin; A C Cook; J Gear; J Singer
Journal:  Phys Ther       Date:  1984-07

2.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

3.  Exposure to violence during childhood is associated with telomere erosion from 5 to 10 years of age: a longitudinal study.

Authors:  I Shalev; T E Moffitt; K Sugden; B Williams; R M Houts; A Danese; J Mill; L Arseneault; A Caspi
Journal:  Mol Psychiatry       Date:  2012-04-24       Impact factor: 15.992

4.  A comparison of methods for assessing mortality risk.

Authors:  Morgan E Levine; Eileen M Crimmins
Journal:  Am J Hum Biol       Date:  2014-08-04       Impact factor: 1.937

5.  Clinical assessment of balance: normative data, and gender and age effects.

Authors:  Luc Vereeck; Floris Wuyts; Steven Truijen; Paul Van de Heyning
Journal:  Int J Audiol       Date:  2008-02       Impact factor: 2.117

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

Authors:  Gregory Hannum; Justin Guinney; Ling Zhao; Li Zhang; Guy Hughes; SriniVas Sadda; Brandy Klotzle; Marina Bibikova; Jian-Bing Fan; Yuan Gao; Rob Deconde; Menzies Chen; Indika Rajapakse; Stephen Friend; Trey Ideker; Kang Zhang
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

7.  Internalizing disorders and leukocyte telomere erosion: a prospective study of depression, generalized anxiety disorder and post-traumatic stress disorder.

Authors:  I Shalev; T E Moffitt; A W Braithwaite; A Danese; N I Fleming; S Goldman-Mellor; H L Harrington; R M Houts; S Israel; R Poulton; S P Robertson; K Sugden; B Williams; A Caspi
Journal:  Mol Psychiatry       Date:  2014-01-14       Impact factor: 15.992

8.  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

9.  The frailty index outperforms DNA methylation age and its derivatives as an indicator of biological age.

Authors:  Sangkyu Kim; Leann Myers; Jennifer Wyckoff; Katie E Cherry; S Michal Jazwinski
Journal:  Geroscience       Date:  2017-01-14       Impact factor: 7.713

10.  DNA methylation age of human tissues and cell types.

Authors:  Steve Horvath
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

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  95 in total

1.  Early Experiences of Threat, but Not Deprivation, Are Associated With Accelerated Biological Aging in Children and Adolescents.

Authors:  Jennifer A Sumner; Natalie L Colich; Monica Uddin; Don Armstrong; Katie A McLaughlin
Journal:  Biol Psychiatry       Date:  2018-09-26       Impact factor: 13.382

2.  DNA methylation and inflammation marker profiles associated with a history of depression.

Authors:  Bethany Crawford; Zoe Craig; Georgina Mansell; Isobel White; Adam Smith; Steve Spaull; Jennifer Imm; Eilis Hannon; Andrew Wood; Hanieh Yaghootkar; Yingjie Ji; Niamh Mullins; Cathryn M Lewis; Jonathan Mill; Therese M Murphy
Journal:  Hum Mol Genet       Date:  2018-08-15       Impact factor: 6.150

3.  Stress and Immunological Aging.

Authors:  Rebecca G Reed
Journal:  Curr Opin Behav Sci       Date:  2019-02-26

Review 4.  Accelerating research on biological aging and mental health: Current challenges and future directions.

Authors:  Laura K M Han; Josine E Verhoeven; Audrey R Tyrka; Brenda W J H Penninx; Owen M Wolkowitz; Kristoffer N T Månsson; Daniel Lindqvist; Marco P Boks; Dóra Révész; Synthia H Mellon; Martin Picard
Journal:  Psychoneuroendocrinology       Date:  2019-04-05       Impact factor: 4.905

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

Authors:  Lauren Gaydosh; Daniel W Belsky; Dana A Glei; Noreen Goldman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-09-16       Impact factor: 6.053

6.  An Emergent Integrated Aging Process Conserved Across Primates.

Authors:  Tina W Wey; Émy Roberge; Véronique Legault; Joseph W Kemnitz; Luigi Ferrucci; Alan A Cohen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-10-04       Impact factor: 6.053

7.  Comparability of biological aging measures in the National Health and Nutrition Examination Study, 1999-2002.

Authors:  Waylon J Hastings; Idan Shalev; Daniel W Belsky
Journal:  Psychoneuroendocrinology       Date:  2019-04-04       Impact factor: 4.905

8.  Multi-system physiological dysregulation and ageing in a subsistence population.

Authors:  Thomas S Kraft; Jonathan Stieglitz; Benjamin C Trumble; Angela R Garcia; Hillard Kaplan; Michael Gurven
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-09-21       Impact factor: 6.237

9.  Biological aging in childhood and adolescence following experiences of threat and deprivation: A systematic review and meta-analysis.

Authors:  Natalie L Colich; Maya L Rosen; Eileen S Williams; Katie A McLaughlin
Journal:  Psychol Bull       Date:  2020-08-03       Impact factor: 17.737

10.  In Vivo Quasi-Elastic Light Scattering Eye Scanner Detects Molecular Aging in Humans.

Authors:  Olga Minaeva; Srikant Sarangi; Danielle M Ledoux; Juliet A Moncaster; Douglas S Parsons; Kevin J Washicosky; Caitlin A Black; Frank J Weng; Maria Ericsson; Robert D Moir; Yorghos Tripodis; John I Clark; Rudolph E Tanzi; David G Hunter; Lee E Goldstein
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-09-16       Impact factor: 6.053

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