Deconstruction of rheumatoid arthritis synovium defines inflammatory subtypes.
Fan ZhangAnna Helena JonssonAparna NathanNghia MillardMichelle CurtisQian XiaoMaria Gutierrez-ArcelusWilliam ApruzzeseGerald F M WattsDana WeisenfeldSaba NayarJavier Rangel-MorenoNida MeednuKathryne E MarksIan MantelJoyce B KangLaurie RumkerJoseph MearsKamil SlowikowskiKathryn WeinandDana E OrangeLaura Geraldino-PardillaKevin D DeaneDarren TabechianArnoldas CeponisGary S FiresteinMark MayburyIlfita SahbudinAmi Ben-ArtziArthur M MandelinAlessandra NervianiMyles J LewisFelice RivelleseCostantino PitzalisLaura B HughesDiane HorowitzEdward DiCarloEllen M GravalleseBrendan F Boycenull nullLarry W MorelandSusan M GoodmanHarris PerlmanV Michael HolersKatherine P LiaoAndrew FilerVivian P BykerkKevin WeiDeepak A RaoLaura T DonlinJennifer H AnolikMichael B BrennerSoumya RaychaudhuriPublished in: Nature (2023)
Rheumatoid arthritis is a prototypical autoimmune disease that causes joint inflammation and destruction 1 . There is currently no cure for rheumatoid arthritis, and the effectiveness of treatments varies across patients, suggesting an undefined pathogenic diversity 1,2 . Here, to deconstruct the cell states and pathways that characterize this pathogenic heterogeneity, we profiled the full spectrum of cells in inflamed synovium from patients with rheumatoid arthritis. We used multi-modal single-cell RNA-sequencing and surface protein data coupled with histology of synovial tissue from 79 donors to build single-cell atlas of rheumatoid arthritis synovial tissue that includes more than 314,000 cells. We stratified tissues into six groups, referred to as cell-type abundance phenotypes (CTAPs), each characterized by selectively enriched cell states. These CTAPs demonstrate the diversity of synovial inflammation in rheumatoid arthritis, ranging from samples enriched for T and B cells to those largely lacking lymphocytes. Disease-relevant cell states, cytokines, risk genes, histology and serology metrics are associated with particular CTAPs. CTAPs are dynamic and can predict treatment response, highlighting the clinical utility of classifying rheumatoid arthritis synovial phenotypes. This comprehensive atlas and molecular, tissue-based stratification of rheumatoid arthritis synovial tissue reveal new insights into rheumatoid arthritis pathology and heterogeneity that could inform novel targeted treatments.
Keyphrases
- single cell
- rheumatoid arthritis
- rna seq
- disease activity
- high throughput
- interstitial lung disease
- ankylosing spondylitis
- induced apoptosis
- oxidative stress
- randomized controlled trial
- systematic review
- end stage renal disease
- cell therapy
- multiple sclerosis
- small molecule
- prognostic factors
- idiopathic pulmonary fibrosis
- systemic sclerosis
- cancer therapy
- gene expression
- electronic health record
- artificial intelligence
- dna methylation
- mesenchymal stem cells
- big data