Literature DB >> 30818253

How does socio-economic position (SEP) get biologically embedded? A comparison of allostatic load and the epigenetic clock(s).

Cathal McCrory1, Giovanni Fiorito2, Cliona Ni Cheallaigh3, Silvia Polidoro2, Piia Karisola4, Harri Alenius5, Richard Layte6, Teresa Seeman7, Paolo Vineis8, Rose Anne Kenny3.   

Abstract

Individuals of lower socio-economic position (SEP) carry a heavier burden of disease and morbidity and live shorter lives on average compared with their more advantaged counterparts. This has sparked research interest in the processes and mechanisms via which social adversity gets biologically embedded. The present study directly compares the empirical worth of two candidate mechanisms: Allostatic Load (AL) and the Epigenetic Clock(s) for advancing our understanding of embodiment using a sub-sample of 490 individuals from the Irish Longitudinal Study (TILDA) who were explicitly selected for this purpose based on their inter-generational life course social class trajectory. A battery of 14 biomarkers representing the activity of 4 different physiological systems: Immunological, Cardiovascular, Metabolic, and Renal was used to construct the AL score. Biomarkers were dichotomised into high and low risk groups according to sex-specific quartiles of risk and summed to create a count ranging from 0-14. Three measures of epigenetic age acceleration were computed according to three sets of age-associated Cytosine-phosphate-Guanine (CpG) sites described by Horvath, Hannum and Levine. AL was strongly socially patterned across a number of measures of SEP, while the epigenetic clocks were not. AL partially mediated the association between measures of SEP and an objective measure of physiological functioning: performance on the Timed Up and Go (TUG test). We conclude that AL may represent the more promising candidate for understanding the pervasive link between SEP and health.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Allostatic load; Biological embedding; Epigenetic clock; Life Course; Socioeconomic position

Mesh:

Substances:

Year:  2019        PMID: 30818253     DOI: 10.1016/j.psyneuen.2019.02.018

Source DB:  PubMed          Journal:  Psychoneuroendocrinology        ISSN: 0306-4530            Impact factor:   4.905


  20 in total

1.  Biography and biological capital.

Authors:  Paolo Vineis; Michelle Kelly-Irving
Journal:  Eur J Epidemiol       Date:  2019-07-24       Impact factor: 8.082

2.  Allostatic score and its associations with demographics, healthy behaviors, tumor characteristics, and mitochondrial DNA among breast cancer patients.

Authors:  Hua Zhao; Renduo Song; Yuanqing Ye; Wong-Ho Chow; Jie Shen
Journal:  Breast Cancer Res Treat       Date:  2021-01-28       Impact factor: 4.872

3.  Assessing the roles of demographic, social, economic, environmental, health-related, and political factors on risk of osteoporosis diagnosis among older adults.

Authors:  Margaret Gough Courtney; Yadira Quintero; K Godde
Journal:  Arch Osteoporos       Date:  2021-11-24       Impact factor: 2.617

4.  Association of Allostatic Load and All Cancer Risk in the SWAN Cohort.

Authors:  Jie Shen; Bernard F Fuemmeler; Yufan Guan; Hua Zhao
Journal:  Cancers (Basel)       Date:  2022-06-21       Impact factor: 6.575

Review 5.  Understanding Health Inequalities Through the Lens of Social Epigenetics.

Authors:  Chantel L Martin; Lea Ghastine; Evans K Lodge; Radhika Dhingra; Cavin K Ward-Caviness
Journal:  Annu Rev Public Health       Date:  2022-04-05       Impact factor: 21.870

6.  GrimAge Outperforms Other Epigenetic Clocks in the Prediction of Age-Related Clinical Phenotypes and All-Cause Mortality.

Authors:  Cathal McCrory; Giovanni Fiorito; Belinda Hernandez; Silvia Polidoro; Aisling M O'Halloran; Ann Hever; Cliona Ni Cheallaigh; Ake T Lu; Steve Horvath; Paolo Vineis; Rose Anne Kenny
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-04-30       Impact factor: 6.053

7.  Advances in Understanding the Causes and Consequences of Health Disparities in Aging Minorities.

Authors:  Sarah N Forrester; Janiece L Taylor; Keith E Whitfield; Roland J Thorpe
Journal:  Curr Epidemiol Rep       Date:  2020-04-29

8.  The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study.

Authors:  Lauren L Schmitz; Wei Zhao; Scott M Ratliff; Julia Goodwin; Jiacheng Miao; Qiongshi Lu; Xiuqing Guo; Kent D Taylor; Jingzhong Ding; Yongmei Liu; Morgan Levine; Jennifer A Smith
Journal:  Epigenetics       Date:  2021-07-06       Impact factor: 4.861

9.  Household Food Insecurity and the Association with Cumulative Biological Risk among Lower-Income Adults: Results from the National Health and Nutrition Examination Surveys 2007-2010.

Authors:  Cindy W Leung; Megan S Zhou
Journal:  Nutrients       Date:  2020-05-23       Impact factor: 5.717

Review 10.  How are social determinants of health integrated into epigenetic research? A systematic review.

Authors:  Linnea Evans; Michal Engelman; Alex Mikulas; Kristen Malecki
Journal:  Soc Sci Med       Date:  2021-02-03       Impact factor: 4.634

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