Stochastic epigenetic mutation profiles as biomarkers of clinical activity in juvenile idiopathic arthritis: a multi-omic machine learning approach for gene prioritization.

doi:10.1186/s10020-025-01348-6

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Article

Stochastic epigenetic mutation profiles as biomarkers of clinical activity in juvenile idiopathic arthritis: a multi-omic machine learning approach for gene prioritization.

Molecular medicine (Cambridge, Mass.) - 25 Sept 2025

Cavalca Giacomo, Vergani Matteo, Cangelosi Davide, Consolaro Alessandro, Gattorno Marco, Ravelli Angelo, Munro Jane, Novakovic Boris, Duncan Anna, Uva Paolo, Fiorito Giovanni

Abstract excerpt

BACKGROUND: Juvenile idiopathic arthritis (JIA) is a rare autoimmune disease arising from a complex interplay between genetic and environmental factors. Epigenetic modifications such as DNA methylation (DNAm) have been described as potential mediators in gene-environment interactions, contributing to immune system dysregulation. Emerging evidence suggests that DNAm profiles also predict therapeutic responses in...

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Topics

Humans
Arthritis, Juvenile
Epigenesis, Genetic
Machine Learning
Mutation

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

DNA Methylation

Biomarkers

Female

Male

Child

Adolescent

Child, Preschool

Multiomics

Source

Open in PubMed Open full text

Identifiers

PMID: 40999368
DOI: 10.1186/s10020-025-01348-6
PMCID: PMC12465343

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