Seven chain adaptive immune receptor repertoire analysis in rheumatoid arthritis: association to disease and clinically relevant phenotypes
Adrià Aterido, Maria Lopez LasantaiD, Francisco Javier BlancoiD, Antonio Juan-Mas, María Luz García-VivariD, Alba ErraiD, Carolina Pérez-GarcíaiD, S. FernándeziD, Raimón SanmartíiD, Antonio Fernández‐NebroiD, Mercedes AlpériiD, Jesús Tornero, Ana María Ortiz, Carlos MarrasiD, Núria Palau, Wenjing PaniD, Miranda L. Byrne-Steele, Dmytro Starenki, Daniel WeberiD, Iván Rodríguez-NuneziD, Jian HaniD, R MyersiD, Sara MarsaliD, Antonio JuliàiD
Abstract
Rheumatoid arthritis (RA) is an immune-mediated inflammatory disease characterized by a defective adaptive immune receptor repertoire (AIRR) that fails to distinguish self from non-self antigens. The AIRR is vast, encompassing four T cell receptor (TCR) and three B cell receptor (BCR) chains, each of which displays an extraordinary amino acid sequence variability in the antigen-binding site. How the concerted action of T and B cell clones is associated with the development and clinical evolution of immune-mediated diseases is still not known. Using a new immunosequencing technology that allows the unbiased amplification of the seven receptor chains, we conducted an in-depth quantitative analysis of the seven-receptor chain variability in RA. Compared to healthy controls, the AIRR in RA was found to be characterized by a lower BCR diversity, the depletion of highly similar BCR clones, an isotype-specific signature as well as a skewed IGL chain and gene segment usage. A predictor based on quantitative multi-chain AIRR information was able to accurately predict disease, including the elusive seronegative subset of RA patients. AIRR features of the seven immune receptor chains were also different between patients with distinct clinically relevant phenotypes. Incorporating HLA variation data, we were able to identify the TCR clones that are specifically associated with the main disease risk variants. The longitudinal analysis of the AIRR revealed that treatment with Tumor Necrosis Factor (TNF) inhibitors selectively restores the diversity of B cell clones in RA patients by reducing the frequency of clones with a similar biochemical profile. The biochemical properties of the TNFi-modulated clones were also found to differ between responders and non-responders, supporting a different antigenic reactivity in the B cell compartment of these two groups of RA patients. Our comprehensive analysis of the TCR and BCR repertoire reveals a complex T and B cell architecture in RA, and provides the basis for precision medicine strategies based on the highly informative features of the adaptive immune response.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Rheumatoid arthritis patients express a skewed repertoire of polyclonal, hypomutated B-cell receptors
G. J. M. Cowan, K. Miles, … M. Gray·bioRxiv·Sep 18, 2019
- TCR repertoire analysis reveals effector memory T cells differentiation into Th17 cells in rheumatoid arthritis
X. Jiang, S.-y. Wang, … X. Zhang·bioRxiv·Apr 23, 2019
- TCRβ Sequencing Reveals Spatial and Temporal Evolution of Clonal CD4 T cell Responses in a Breach of Tolerance Model of Inflammatory Arthritis
S. Al Khabouri, R. A. Benson, … P. Garside·bioRxiv·Nov 15, 2020
- Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis
Jun Inamo, Joshua Keegan, … Fan Zhang·Journal of Clinical InvestigationPeer-reviewed·Mar 16, 2025
- A Systems Immunology Approach Identifies Cytokine-Induced STAT Signaling Pathways Critical to Rheumatoid Arthritis Disease Activity and Treatment Response
S. L. Bridges, J. Ptacek, … P. K. Gregersen·bioRxiv·Jul 8, 2019
- Clonal associations of lymphocyte subsets and functional states revealed by single cell antigen receptor profiling of T and B cells in rheumatoid arthritis synovium
G. S. Dunlap, A. Wagner, … J. Anolik·bioRxiv·Mar 18, 2023