Literature DB >> 26295359

Life course socioeconomic status and DNA methylation in genes related to stress reactivity and inflammation: The multi-ethnic study of atherosclerosis.

Belinda L Needham1, Jennifer A Smith1, Wei Zhao1, Xu Wang2, Bhramar Mukherjee3, Sharon L R Kardia1, Carol A Shively4, Teresa E Seeman5, Yongmei Liu6, Ava V Diez Roux2.   

Abstract

Epigenetic changes, such as DNA methylation, have been hypothesized to provide a link between the social environment and disease development. The purpose of this study was to examine associations between life course measures of socioeconomic status (SES) and DNA methylation (DNAm) in 18 genes related to stress reactivity and inflammation using a multi-level modeling approach that treats DNAm measurements as repeat measures within an individual. DNAm and gene expression were assessed in purified monocytes for a random subsample of 1,264 non-Hispanic white, African-American, and Hispanic participants aged 55-94 from the Multi-Ethnic Study of Atherosclerosis (MESA). After correction for multiple testing, we found that low childhood SES was associated with DNAm in 3 stress-related genes (AVP, FKBP5, OXTR) and 2 inflammation-related genes (CCL1, CD1D), low adult SES was associated with DNAm in one stress-related gene (AVP) and 5 inflammation-related genes (CD1D, F8, KLRG1, NLRP12, TLR3), and social mobility was associated with DNAm in 3 stress-related genes (AVP, FKBP5, OXTR) and 7 inflammation-related genes (CCL1, CD1D, F8, KLRG1, NLRP12, PYDC1, TLR3). In general, low SES was associated with increased DNAm. Expression data was available for 7 genes that showed a significant relationship between SES and DNAm. In 5 of these 7 genes (CD1D, F8, FKBP5, KLRG1, NLRP12), DNAm was associated with gene expression for at least one transcript, providing evidence of the potential functional consequences of alterations in DNAm related to SES. The results of this study reflect the biological complexity of epigenetic data and underscore the need for multi-disciplinary approaches to study how DNAm may contribute to the social patterning of disease.

Entities:  

Keywords:  DNA methylation; gene expression; inflammation; socioeconomic status; stress reactivity

Mesh:

Year:  2015        PMID: 26295359      PMCID: PMC4844216          DOI: 10.1080/15592294.2015.1085139

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  54 in total

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Review 2.  Stress-induced immune dysfunction: implications for health.

Authors:  Ronald Glaser; Janice K Kiecolt-Glaser
Journal:  Nat Rev Immunol       Date:  2005-03       Impact factor: 53.106

3.  Stress, life events, and socioeconomic disparities in health: results from the Americans' Changing Lives Study.

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Journal:  J Health Soc Behav       Date:  2005-09

Review 4.  Epigenetic influence of social experiences across the lifespan.

Authors:  Frances A Champagne
Journal:  Dev Psychobiol       Date:  2010-05       Impact factor: 3.038

5.  DNA methylation directly silences genes with non-CpG island promoters and establishes a nucleosome occupied promoter.

Authors:  Han Han; Connie C Cortez; Xiaojing Yang; Peter W Nichols; Peter A Jones; Gangning Liang
Journal:  Hum Mol Genet       Date:  2011-08-11       Impact factor: 6.150

6.  Maternal education and child health: is there a strong causal relationship?

Authors:  S Desai; S Alva
Journal:  Demography       Date:  1998-02

7.  Epigenetic modification of hippocampal Bdnf DNA in adult rats in an animal model of post-traumatic stress disorder.

Authors:  Tania L Roth; Phillip R Zoladz; J David Sweatt; David M Diamond
Journal:  J Psychiatr Res       Date:  2011-02-09       Impact factor: 4.791

8.  Methylation at 5HTT mediates the impact of child sex abuse on women's antisocial behavior: an examination of the Iowa adoptee sample.

Authors:  Steven R H Beach; Gene H Brody; Alexandre A Todorov; Tracy D Gunter; Robert A Philibert
Journal:  Psychosom Med       Date:  2010-10-14       Impact factor: 4.312

9.  Childhood adversity and epigenetic modulation of the leukocyte glucocorticoid receptor: preliminary findings in healthy adults.

Authors:  Audrey R Tyrka; Lawrence H Price; Carmen Marsit; Oakland C Walters; Linda L Carpenter
Journal:  PLoS One       Date:  2012-01-25       Impact factor: 3.240

10.  Passive and active DNA methylation and the interplay with genetic variation in gene regulation.

Authors:  Maria Gutierrez-Arcelus; Tuuli Lappalainen; Stephen B Montgomery; Alfonso Buil; Halit Ongen; Alisa Yurovsky; Julien Bryois; Thomas Giger; Luciana Romano; Alexandra Planchon; Emilie Falconnet; Deborah Bielser; Maryline Gagnebin; Ismael Padioleau; Christelle Borel; Audrey Letourneau; Periklis Makrythanasis; Michel Guipponi; Corinne Gehrig; Stylianos E Antonarakis; Emmanouil T Dermitzakis
Journal:  Elife       Date:  2013-06-04       Impact factor: 8.140

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  67 in total

1.  Epigenome-wide DNA methylation in placentas from preterm infants: association with maternal socioeconomic status.

Authors:  Hudson P Santos; Arjun Bhattacharya; Elizabeth M Martin; Kezia Addo; Matt Psioda; Lisa Smeester; Robert M Joseph; Stephen R Hooper; Jean A Frazier; Karl C Kuban; T Michael O'Shea; Rebecca C Fry
Journal:  Epigenetics       Date:  2019-05-21       Impact factor: 4.528

2.  Socioeconomic Position and Incidence of Glomerular Diseases.

Authors:  Mark Canney; Dilshani Induruwage; Anahat Sahota; Cathal McCrory; Michelle A Hladunewich; Jagbir Gill; Sean J Barbour
Journal:  Clin J Am Soc Nephrol       Date:  2020-02-20       Impact factor: 8.237

3.  Attention-Deficit/Hyperactivity Disorder (ADHD): Interaction between socioeconomic status and parental history of ADHD determines prevalence.

Authors:  Andrew S Rowland; Betty J Skipper; David L Rabiner; Fares Qeadan; Richard A Campbell; A Jack Naftel; David M Umbach
Journal:  J Child Psychol Psychiatry       Date:  2017-08-12       Impact factor: 8.982

4.  Looking back and moving forward: Evaluating and advancing translation from animal models to human studies of early life stress and DNA methylation.

Authors:  Sarah Enos Watamura; Tania L Roth
Journal:  Dev Psychobiol       Date:  2018-11-13       Impact factor: 3.038

5.  Socioeconomic status and DNA methylation from birth through mid-childhood: a prospective study in Project Viva.

Authors:  Zachary M Laubach; Wei Perng; Andres Cardenas; Sheryl L Rifas-Shiman; Emily Oken; Dawn DeMeo; Augusto A Litonjua; Radu-Corneliu Duca; Lode Godderis; Andrea Baccarelli; Marie-France Hivert
Journal:  Epigenomics       Date:  2019-09-11       Impact factor: 4.778

6.  The development of the cortisol response to dyadic stressors in Black and White infants.

Authors:  Andrew Dismukes; Elizabeth Shirtcliff; Christopher W Jones; Charles Zeanah; Katherine Theall; Stacy Drury
Journal:  Dev Psychopathol       Date:  2018-10-17

7.  Epigenetic Mediators Between Childhood Socioeconomic Disadvantage and Mid-Life Body Mass Index: The New England Family Study.

Authors:  Eric B Loucks; Yen-Tsung Huang; Golareh Agha; Su Chu; Charles B Eaton; Stephen E Gilman; Stephen L Buka; Karl T Kelsey
Journal:  Psychosom Med       Date:  2016 Nov/Dec       Impact factor: 4.312

8.  Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies.

Authors:  Yanyi Song; Xiang Zhou; Min Zhang; Wei Zhao; Yongmei Liu; Sharon L R Kardia; Ana V Diez Roux; Belinda L Needham; Jennifer A Smith; Bhramar Mukherjee
Journal:  Biometrics       Date:  2019-12-19       Impact factor: 2.571

Review 9.  Childhood adversity and epigenetic regulation of glucocorticoid signaling genes: Associations in children and adults.

Authors:  Audrey R Tyrka; Kathryn K Ridout; Stephanie H Parade
Journal:  Dev Psychopathol       Date:  2016-10-03

10.  Methylation of the FKBP5 gene in association with FKBP5 genotypes, childhood maltreatment and depression.

Authors:  Johanna Klinger-König; Johannes Hertel; Sandra Van der Auwera; Stefan Frenzel; Liliane Pfeiffer; Melanie Waldenberger; Janine Golchert; Alexander Teumer; Matthias Nauck; Georg Homuth; Henry Völzke; Hans J Grabe
Journal:  Neuropsychopharmacology       Date:  2019-01-23       Impact factor: 7.853

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