Circulating levels of inflammatory markers and DNA methylation, an analysis of repeated samples from a population based cohort.
Robin MyteAnneli SundkvistBethany Van GuelpenSophia HarlidPublished in: Epigenetics (2019)
DNA methylation in blood may adapt to conditions affecting our health, such as inflammation, and multiple studies have identified differential DNA methylation related to smoking, obesity and various diseases. The purpose of this study was to evaluate previously reported, and explore possible new, associations between levels of inflammatory markers and DNA methylation in blood. We used a well-characterized study population consisting of 127 individuals, all of whom were participants in the population-based Västerbotten Intervention Programme cohort and had provided two blood samples, ten years apart. Levels of CRP and 160 other proteins were measured in plasma, and DNA methylation levels (assessed using the 850K Illumina Infinium MethylationEPIC BeadChip) were measured in white blood cell DNA. Associations between CpG methylation and protein levels were estimated using linear mixed models. In the study we were able to confirm the direction for 85 of 102 previously reported protein-methylation associations. Depicting associations in a network allowed us to identify CpG sites with associations to multiple proteins, and ten CpG sites were each associated with three or more inflammatory markers. Furthermore, two genetic regions included nine additional unreported CpG sites that may represent trans-acting methylation sites. Our study supports a complex interaction between DNA methylation and circulating proteins involved in the inflammatory response. The notion of trans-acting methylation sites affecting, or being affected by, the expression of genes on completely different chromosomes should be taken into account when interpreting results from epigenome-wide association studies.
Keyphrases
- dna methylation
- genome wide
- gene expression
- inflammatory response
- copy number
- randomized controlled trial
- metabolic syndrome
- healthcare
- public health
- clinical trial
- stem cells
- type diabetes
- oxidative stress
- insulin resistance
- study protocol
- single cell
- smoking cessation
- single molecule
- mesenchymal stem cells
- small molecule
- human health
- bioinformatics analysis