Cell-free DNA methylation patterns in aging and their association with inflamm-aging
Epigenomics, 2024
Li S., Gao X., Wang Z., Li J., Zeng L., Dang Y., Ma Y., Zhang L., Wang Q., Zhang Y., Liu H., Qi R., Cai J.
Disease area | Application area | Sample type | Products |
---|---|---|---|
Immunological & Inflammatory Diseases Aging | Epidemiology | Plasma | Olink Target 96 |
Abstract
Aim: Liquid biopsies analyzing cell-free DNA (cfDNA) methylation in plasma offer a noninvasive diagnostic for diseases, with the potential of aging biomarkers underexplored.
Methods: Utilizing enzymatic methyl-seq (EM-seq), this study assessed cfDNA methylation patterns in aging with blood from 35 healthy individuals.
Results: It found aging signatures, including higher cfDNA levels and variations in fragment sizes, plus approximately 2000 age-related differentially methylated CpG sites. A biological age predictive model based on 48 CpG sites showed a strong correlation with chronological age, verified by two datasets. Age-specific epigenetic shifts linked to inflammation were revealed through differentially methylated regions profiling and Olink proteomics.
Conclusion: These findings suggest cfDNA methylation as a potential aging biomarker and might exacerbate immunoinflammatory reactivity in older individuals.