Background: Epigenetic programming and epigenetic mechanisms driven by environmental factors are thought to play an important role in human health and ageing. Global DNA methylation has been postulated as an epigenetic marker for epidemiological studies as it is reflective of changes in gene expression linked to disease. How epigenetic mechanisms are affected by psychological, sociological and biological determinants of health still remains unclear. The aim of this study was to investigate the relationship between socio-economic and lifestyle factors and epigenetic status, as measured by global DNA methylation content, in the pSoBid cohort, which is characterized by an extreme socio-economic and health gradient.
Methods: DNA was extracted from peripheral blood leukocytes using the Maxwell® 16 System and Maxwell® 16 Blood DNA Purification kit (Promega, UK). Global DNA methylation was assessed using Methylamp™ Global DNA Methylation Quantification Ultra kit (Epigentek, USA). Associations between global DNA methylation and socio-economic and lifestyle factors were investigated in linear regression models.
Results: Global DNA hypomethylation was observed in the most socio-economically deprived subjects. Job status demonstrated a similar relationship, with manual workers having 24% lower DNA methylation content than non-manual. Additionally, associations were found between global DNA methylation content and biomarkers of cardiovascular disease (CVD) and inflammation, including fibrinogen and interleukin-6 (IL-6), after adjustment for socio-economic factors.
Conclusions: This study has indicated an association between epigenetic status and socio-economic status (SES). This relationship has direct implications for population health and is reflected in further associations between global DNA methylation content and emerging biomarkers of CVD.
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Alzheimers Dement
December 2024
John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA, Miami, FL, USA.
Background: Prior studies have shown differences in the genetic etiology and clinical presentation of Alzheimer's Disease across populations. For example, for multiple genetic loci associated with AD, effect sizes can vary drastically between individuals of different ancestral backgrounds. Few investigations into differences in epigenetic features like DNA methylation have been conducted in AD, particularly in diverse individuals.
View Article and Find Full Text PDFPhysiol Genomics
January 2025
Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.
We examined the effects of a 20-week exercise intervention on whole-blood genome-wide DNA methylation signature and its association with the exercise-induced changes in gene expression profiles in boys and girls with overweight/obesity (OW/OB). Twenty-three children (10.05 ± 1.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of North Texas Health Science Center, Fort Worth, TX, USA.
Background: The long-term goal of Health & Aging Brain Study - Health Disparities (HABS-HD) is to establish population-specific informed precision medicine for novel treatment and prevention strategies as has been done in other fields. Genomic studies are integral to these efforts and contribute vital data regarding genetic ancestry of the HABS-HD participants, as well as whole genome sequence data, genome-wide genotype (Illumina Global Screening array version 3.0) and epigenetic data (Illumina EPIC DNA methylation array).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Background: Worldwide, the actual number of 55 million people diagnosed with dementia is estimated to increase to 139 million people affected by dementia in 2050. 61% of these individuals resided in low and middle-income countries (LMIC). Genetic risk factors account for up to 80% of the attributable risk of Alzheimer's disease (AD), the leading cause of dementia.
View Article and Find Full Text PDFBackground: Biomarkers that predict the heterogenous nature and late onset of cognitive decline are needed to evaluate geroscience interventions designed to delay or prevent the progression of Alzheimer's Disease and related dementias (ADRD). The DunedinPACE epigenetic clock is designed to measure pace of biological aging, and is therefore a promising candidate biomarker. Here we (1) investigate if DunedinPACE is associated with cognitive aging, and (2) the extent to which these associations are independent of education.
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