{"title":"Epigenetic reprogramming of tissue-resident memory T cells in chronic inflammatory disorders and implications for targeted therapies.","authors":"Chen Ling, Haytham F Isleem, Ghanshyam G Tejani","doi":"10.1080/17501911.2026.2678920","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in chronic inflammatory diseases via pathological epigenetic reprogramming. Nevertheless, the epigenetic processes that cause this malfunction have not been well defined.</p><p><strong>Research design and methods: </strong>We performed integrative multi-omics analysis of TRM cells (CD3+CD8+CD69+CD103+, >92% purity, >94% viability) from 124 patients (41 rheumatoid arthritis, 43 inflammatory bowel disease, 40 psoriasis) and 35 healthy controls, employing scATAC-seq, ChIP-seq, whole-genome bisulfite sequencing, and scRNA-seq.</p><p><strong>Results: </strong>We identified 847 differentially methylated regions (<i>p</i><0.001) and 1,239 altered chromatin accessibility peaks. Pathogenic programming was sustained through TET2-mediated demethylation of pro-inflammatory enhancers for IL-17A (-43.2% methylation) and TNF (-87.3% methylation). Tissue-specific defects included FOXP3 hypermethylation (+47.3%) in intestinal TRM and elevated H3K27me3 deposition (2.3-fold) in synovial TRM. Combined inhibition using the DNMT1-targeting degrader GSK-3484862 and the EZH2 inhibitor GSK126 reversed pathological programming, reducing cytokine production by >80% in ex vivo assays. Machine learning classification achieved 94.2% accuracy (95% CI: 91.3-97.1%) distinguishing pathogenic from protective TRM cells.</p><p><strong>Conclusions: </strong>This first epigenetic atlas of TRM cells in chronic inflammation reveals tissue-specific vulnerabilities, therapeutic targets (DNMT1, EZH2), and patient stratification biomarkers. Limitations include the <i>ex vivo</i> validation system and the need for larger multicentric biomarker validation studies.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"681-693"},"PeriodicalIF":3.1000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13313248/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epigenomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17501911.2026.2678920","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/3 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in chronic inflammatory diseases via pathological epigenetic reprogramming. Nevertheless, the epigenetic processes that cause this malfunction have not been well defined.
Research design and methods: We performed integrative multi-omics analysis of TRM cells (CD3+CD8+CD69+CD103+, >92% purity, >94% viability) from 124 patients (41 rheumatoid arthritis, 43 inflammatory bowel disease, 40 psoriasis) and 35 healthy controls, employing scATAC-seq, ChIP-seq, whole-genome bisulfite sequencing, and scRNA-seq.
Results: We identified 847 differentially methylated regions (p<0.001) and 1,239 altered chromatin accessibility peaks. Pathogenic programming was sustained through TET2-mediated demethylation of pro-inflammatory enhancers for IL-17A (-43.2% methylation) and TNF (-87.3% methylation). Tissue-specific defects included FOXP3 hypermethylation (+47.3%) in intestinal TRM and elevated H3K27me3 deposition (2.3-fold) in synovial TRM. Combined inhibition using the DNMT1-targeting degrader GSK-3484862 and the EZH2 inhibitor GSK126 reversed pathological programming, reducing cytokine production by >80% in ex vivo assays. Machine learning classification achieved 94.2% accuracy (95% CI: 91.3-97.1%) distinguishing pathogenic from protective TRM cells.
Conclusions: This first epigenetic atlas of TRM cells in chronic inflammation reveals tissue-specific vulnerabilities, therapeutic targets (DNMT1, EZH2), and patient stratification biomarkers. Limitations include the ex vivo validation system and the need for larger multicentric biomarker validation studies.
期刊介绍:
Epigenomics provides the forum to address the rapidly progressing research developments in this ever-expanding field; to report on the major challenges ahead and critical advances that are propelling the science forward. The journal delivers this information in concise, at-a-glance article formats – invaluable to a time constrained community.
Substantial developments in our current knowledge and understanding of genomics and epigenetics are constantly being made, yet this field is still in its infancy. Epigenomics provides a critical overview of the latest and most significant advances as they unfold and explores their potential application in the clinical setting.