Non-coding autoimmune risk variant defines role for ICOS in T peripheral helper cell development.
Taehyeung KimMarta Martínez-BonetQiang WangNicolaj S HackertJeffrey A SparksYuriy BaglaenkoByunghee KohRoxane DarboussetRaquel Laza-BriviescaXiaoting ChenVitor R C AguiarDarren J ChiuHarm-Jan WestraMaria Gutierrez-ArcelusMatthew T WeirauchSoumya RaychaudhuriDeepak A RaoPeter A NigrovicPublished in: Nature communications (2024)
Fine-mapping and functional studies implicate rs117701653, a non-coding single nucleotide polymorphism in the CD28/CTLA4/ICOS locus, as a risk variant for rheumatoid arthritis and type 1 diabetes. Here, using DNA pulldown, mass spectrometry, genome editing and eQTL analysis, we establish that the disease-associated risk allele is functional, reducing affinity for the inhibitory chromosomal regulator SMCHD1 to enhance expression of inducible T-cell costimulator (ICOS) in memory CD4 + T cells from healthy donors. Higher ICOS expression is paralleled by an increase in circulating T peripheral helper (Tph) cells and, in rheumatoid arthritis patients, of blood and joint fluid Tph cells as well as circulating plasmablasts. Correspondingly, ICOS ligation and carriage of the rs117701653 risk allele accelerate T cell differentiation into CXCR5 - PD-1 high Tph cells producing IL-21 and CXCL13. Thus, mechanistic dissection of a functional non-coding variant in human autoimmunity discloses a previously undefined pathway through which ICOS regulates Tph development and abundance.
Keyphrases
- induced apoptosis
- type diabetes
- rheumatoid arthritis
- cell cycle arrest
- rheumatoid arthritis patients
- mass spectrometry
- poor prognosis
- crispr cas
- high resolution
- disease activity
- cardiovascular disease
- multiple sclerosis
- regulatory t cells
- endothelial cells
- dendritic cells
- oxidative stress
- cell death
- bone marrow
- immune response
- ms ms
- working memory
- microbial community
- dna methylation
- copy number
- cell therapy
- high performance liquid chromatography
- cell free
- capillary electrophoresis
- high density
- data analysis
- simultaneous determination
- breast cancer risk