DNA methylation-based analysis of leukocyte landscape in children with atopic dermatitis.

Atopic dermatitis (AD) is the most common chronic, inflammatory skin condition among the pediatric population. There is a need to better characterize the leukocytic landscape of AD for disease stratification, surveillance, and to identify therapeutic targets. We utilized a novel DNA methylation (DNAm)-based algorithm to study a publicly available, epigenome-wide DNAm dataset of pediatric AD patients and healthy subjects.

Epigenetic and biological age acceleration in children with atopic dermatitis.

Background: Atopic dermatitis (AD) is a chronic inflammatory skin disease resulting from the complex interplay of genetic and environmental factors, meriting exploration using temporally dynamic biomarkers. DNA methylation-based algorithms have been trained to accurately estimate biological age, and deviation of predicted age from true age (epigenetic age acceleration) has been implicated in several inflammatory diseases, including asthma.

Objective: We sought to determine the role of epigenetic and biological aging, telomere length, and epigenetically inferred abundance of 7 inflammatory biomarkers in AD.