Literature DB >> 30016711

Early-life socioeconomic disadvantage, not current, predicts accelerated epigenetic aging of monocytes.

Makeda K Austin1, Edith Chen2, Kharah M Ross3, Lisa M McEwen4, Julia L Maclsaac4, Michael S Kobor5, Gregory E Miller6.   

Abstract

Low socioeconomic status (SES) in early-life and adulthood independently contribute to increased risk for aging-related chronic diseases. One mechanistic hypothesis for these associations involves faster cellular aging of immune cells, which could plausibly contribute to chronic disease pathogenesis by compromising host resistance and/or up-regulating inflammation. However, little is known about the association between life-course SES and cellular aging. The present study examines the association of early-life and current SES with a novel biomarker of cellular aging termed the "epigenetic clock," in monocytes. Additionally, we examine health behaviors and depressive symptoms as potential explanatory pathways. The study involved 335 participants between the ages of 15 and 55 from Vancouver, Canada and surrounding areas. Enrolled participants had to fit into four life-course SES trajectories, corresponding to low-low, low-high, high-low and high-high combinations of early-life (ages 0 to 5) and current SES respectively. Cellular aging of monocytes was measured using Horvath's DNA methylation derived measure of epigenetic age acceleration. Results indicated that socioeconomic disadvantage during early-life, but not later in life, was associated with accelerated epigenetic aging of monocytes. No early-life SES by current SES interaction was detected, suggesting that socioeconomic mobility is unrelated to epigenetic age acceleration. In path analyses, neither current health behaviors nor current depressive symptoms emerged as mediators of the early-life SES effect. These findings suggest socioeconomic disadvantage in early-life is independently predictive of cellular aging of immune cells, with potential implications for aging-related diseases later in life.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Epigenetic aging; Immune; Socioeconomic status (SES)

Mesh:

Substances:

Year:  2018        PMID: 30016711     DOI: 10.1016/j.psyneuen.2018.07.007

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


  31 in total

1.  Association between epigenetic age acceleration and depressive symptoms in a prospective cohort study of urban-dwelling adults.

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2.  High social status males experience accelerated epigenetic aging in wild baboons.

Authors:  Jordan A Anderson; Rachel A Johnston; Amanda J Lea; Fernando A Campos; Tawni N Voyles; Mercy Y Akinyi; Susan C Alberts; Elizabeth A Archie; Jenny Tung
Journal:  Elife       Date:  2021-04-06       Impact factor: 8.140

Review 3.  Patterns of DNA methylation as an indicator of biological aging: State of the science and future directions in precision health promotion.

Authors:  Shannon L Gillespie; Lynda R Hardy; Cindy M Anderson
Journal:  Nurs Outlook       Date:  2019-05-17       Impact factor: 3.250

4.  Impact of paternal education on epigenetic ageing in adolescence and mid-adulthood: a multi-cohort study in the USA and Mexico.

Authors:  Brian T Joyce; Tao Gao; Kalsea Koss; Yinan Zheng; Andres Cardenas; Jonathan Heiss; Allan Just; Kai Zhang; Linda van Horn; Norrina Bai Allen; Philip Greenland; Sheldon Cohen; Penny Gordon-Larsen; Colter Mitchell; Sara McLanahan; Lisa Schneper; Daniel Notterman; Sheryl L Rifas-Shiman; Emily Oken; Marie-France Hivert; Robert Wright; Andrea Baccarelli; Donald Lloyd-Jones; Lifang Hou
Journal:  Int J Epidemiol       Date:  2022-06-13       Impact factor: 9.685

5.  Association of Household Deprivation, Comorbidities, and COVID-19 Hospitalization in Children in Germany, January 2020 to July 2021.

Authors:  Nico Dragano; Olga Dortmann; Jörg Timm; Matthias Mohrmann; Rosemarie Wehner; Christoph J Rupprecht; Maria Scheider; Ertan Mayatepek; Morten Wahrendorf
Journal:  JAMA Netw Open       Date:  2022-10-03

6.  DNA methylation of decedent blood samples to estimate the chronological age of human remains.

Authors:  Yessenia Anaya; Patrick Yew; Katherine A Roberts; W Reef Hardy
Journal:  Int J Legal Med       Date:  2021-07-10       Impact factor: 2.686

7.  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

Review 8.  The use of DNA methylation clock in aging research.

Authors:  Xi He; Jiaojiao Liu; Bo Liu; Jingshan Shi
Journal:  Exp Biol Med (Maywood)       Date:  2020-11-11

Review 9.  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

10.  Early Childhood Socioeconomic Status and Cognitive and Adaptive Outcomes at the Transition to Adulthood: The Mediating Role of Gray Matter Development Across Five Scan Waves.

Authors:  Deanna M Barch; Meghan Rose Donohue; Nourhan M Elsayed; Kirsten Gilbert; Michael P Harms; Laura Hennefield; Max Herzberg; Sridhar Kandala; Nicole R Karcher; Joshua J Jackson; Katherine R Luking; Brent I Rappaport; Ashley Sanders; Rita Taylor; Rebecca Tillman; Alecia C Vogel; Diana Whalen; Joan L Luby
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-07-14
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