Unsupervised machine learning identifies distinct SLE patient endotypes with differential response to belimumabShow others and affiliations
2025 (English)In: Rheumatology, ISSN 1462-0324, E-ISSN 1462-0332, Vol. 64, no 8, article id keaf215Article in journal (Refereed) Published
Abstract [en]
OBJECTIVE: To determine systemic lupus erythematosus (SLE) endotypes according to B cell immunophenotyping and serological profile and assess endotypes' response to belimumab.
METHODS: We analysed data from 796 patients with SLE from the phase III trial BLISS-SC. Unsupervised machine learning employing factor analysis of mixed data (FAMD) and subsequent clustering determined endotypes based on B cell immunophenotyping and serological profiles. Cox regression was used to assess belimumab efficacy on inducing lupus low disease activity state (LLDAS) and Definitions of Remission in SLE (DORIS) remission within clusters.
RESULTS: Three endotypes were determined. Compared to each other, cluster 1 (n = 191) displayed higher proportions of CD19+CD24b+CD27+ regulatory B cells [mean ± standard deviation (SD): 35.9%±12.6%], CD19+CD20+CD27+ bulk memory B cells (32.2%±9.9%), CD19+CD20+CD69+ activated B cells (0.2%±0.3%), CD19+CD20-CD138+ long-lived plasma cells (0.7%±1.0%), and CD19+CD38b+CD27b+ SLE-associated plasma cells (6.6%±7.0%). Cluster 2 (n = 366) displayed higher proportions of CD19+CD24bbrightCD38bbrightCD27- transitional B cells (6.3%±9.0%) and CD19+CD20+CD27- naïve B cells (85.4%±7.2%), and lower proportions of CD19+CD20-CD138+ peripheral long-lived plasma cells (0.2%±0.3%) and CD19+CD38b+CD27b+ SLE-associated plasma cells (1.6%±2.0%). Cluster 3 (n = 239) displayed a higher proportion of CD19+CD20+CD138+ short-lived plasma cells (0.1%±0.1%) and higher serological activity, being enriched in anti-double stranded(ds)DNA, anti-extractable nuclear antigens (ENA), antiphospholipid antibodies, and hypocomplementemia. Use of belimumab was superior to placebo in inducing sustained LLDAS (HR: 2.22; 95% CI: 1.18-4.17; p = 0.014) and DORIS remission (HR: 3.45; 95% CI: 1.2-9.94; p = 0.022) in cluster 2.
CONCLUSION: Three distinct SLE endotypes were identified based on B cell immunophenotyping and serological profiles, showing differential benefit from belimumab therapy.
Place, publisher, year, edition, pages
Oxford University Press, 2025. Vol. 64, no 8, article id keaf215
Keywords [en]
B cells, belimumab, machine learning, systemic lupus erythematosus
National Category
Autoimmunity and Inflammation
Identifiers
URN: urn:nbn:se:oru:diva-120765DOI: 10.1093/rheumatology/keaf215ISI: 001497094600001PubMedID: 40244828Scopus ID: 2-s2.0-105012381174OAI: oai:DiVA.org:oru-120765DiVA, id: diva2:1954444
Funder
Swedish Rheumatism Association, R-941095King Gustaf V Jubilee Fund, FAI-2020-0741)Stiftelsen Ulla och Roland Gustafssons Donationsfond, 2021-26Region Stockholm, FoUI-955483Karolinska Institute
Note
Funding Agencies:
This work was supported by grants from the Swedish Rheumatism Association (R-941095),King Gustaf V’s 80-year Foundation (FAI-2020-0741), Professor Nanna Svartz Foundation (2020-00368), Ulla and Roland Gustafsson Foundation (2021-26), Region Stockholm (FoUI-955483) andKarolinska Institutet.
2025-04-242025-04-242026-01-23Bibliographically approved