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Abstract Number: 1692

Single Cell RNA-seq Identifies Circulating Double-negative-2 B-cell Population Associated with Progressive Scleroderma Interstitial Lung Disease

Trinitee Oliver1, Kim Taylor2, Ye Cao3, Takanori Sasaki4, Deepak Rao5, Nunzio Bottini6, Francesco Boin6 and Richard Ainsworth6, 1Cedars-Sinai Medical Center, Hawthorne, CA, 2University of California, San Francisco, CA, 3Brigham and Women's Hospital and Harvard Medical School, Boston, Boston, MA, 4Brigham and Women's Hospital and Harvard Medical School, Brookline, MA, 5Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 6Cedars-Sinai Medical Center, Los Angeles, CA

Meeting: ACR Convergence 2024

Keywords: autoimmune diseases, Bioinformatics, interstitial lung disease, Scleroderma

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Session Information

Date: Sunday, November 17, 2024

Title: Abstracts: Systemic Sclerosis & Related Disorders – Clinical I

Session Type: Abstract Session

Session Time: 1:00PM-2:30PM

Background/Purpose: B-cell subsets display aberrant function in systemic sclerosis (SSc) pathogenesis and infiltrate the lungs of SSc patients with interstitial lung disease (ILD). B-cells relevance is supported by the therapeutic benefits of their depletion, but a better functional characterization and refined association analysis with ILD progression may allow for more targeted treatment strategies. We have sought to characterize specific B-cell populations associated with SSc-ILD and investigate how disease progression affects the transcriptional regimen.

Methods: Single cell RNA-seq was performed on peripheral blood obtained from a cohort of 60 SSc patients enriched for patients with ILD (n=40). Unsupervised clustering identified the B-cell populations which were then selected for further sub-clustering analysis and annotation. Using longitudinal pulmonary function test data, SSc-ILD patients were classified progressive (SSc-ILD-prog) or non-progressive (SSc-ILD-non-prog) lung disease if they lost more than 10% of absolute forced vital capacity within a year before or after blood collection. Differential expression and sub-type frequency analysis was conducted between these two categories. Over representation analysis was performed to identify dysregulated pathways in SSc-ILD-prog patients.

Results: Clustering and annotation of 29,279 B-cells identified 7 B-cell subtypes (Fig.1a). Comparison of the relative proportions of each cell type between SSc-ILD-prog and SSc-ILD-non-prog (Fig.1b) revealed a significant 1.8-fold increase (p-value=3.0×10-2) in SSc-ILD-prog for a mixed population of B-cells (DN2_aNAV_ASM), which by subclustering showed three distinct B-cell subsets: CD11c+ (ITGAX) T-bet (TBX21) expressing double-negative-2 memory B-cells (DN2), CD27–/IgD+ activated naive (aNAV) expressing CD72 and CXCR4, and CD27+/IgD– activated switched memory B-cells (ASM) (Fig. 1c). Only DN2 were significantly increased in SSc-ILD-prog (2.5-fold, p-value=1.0×10-2). aNAV and DN2 clustered as a continuum of states, hence we conducted differential expression analysis of the entire DN2_aNAV_ASM cluster (Fig. 2a) and identified genes upregulated in SSc-ILD-prog with robust enrichment in the“Gene and protein expression by JAK-STAT signaling after Interleukin-12 stimulation” pathway (FDR = 7.0 x 10-11) and “Diseases of signal transduction by growth factor receptors and second messengers” pathway (FDR = 2.9 x 10-4) (Fig. 2b).

Conclusion: Using single cell analysis, we identified a significant expansion of double-negative-2 memory B-cells (DN2) in SSc-ILD patients with active/progressing disease. These cells cluster with CD27–/IgD+ activated naive B-cells and display an upregulation of IL12-STAT signaling genes, an axis known to be critically involved in CD11c+ B-cell generation in SLE. Our findings suggest that DN2 frequency and transcriptomic signature changes in accordance with SSc-ILD progression and may have prognostic value as well as mechanistic involvement in this disease.

Supporting image 1

Fig. 1. a. UMAP of B-cells split into 7 clusters. b. Frequency barplot for each cell-type split by SSc-ILD progressor status. c. Subclustered DN2_aNAV_ASM frequency barplot and bubble plot of selected marker genes.

Supporting image 2

Fig. 2. a. Volcano plot for DN2_aNAV_ASM SSc-ILD progressors vs non-progressors. b. Pathways for differentially expressed genes upregulated in SSc-ILD prog.


Disclosures: T. Oliver: None; K. Taylor: None; Y. Cao: None; T. Sasaki: None; D. Rao: Amgen, 6, AnaptysBio, 2, AstraZeneca, 1, Bristol-Myers Squibb, 2, 5, GlaxoSmithKline, 2, HiFiBio, 2, Janssen, 5, Merck, 5, Scipher Medicine, 2; N. Bottini: Thirona Bio, 2; F. Boin: Adicet Bio, 2; R. Ainsworth: None.

To cite this abstract in AMA style:

Oliver T, Taylor K, Cao Y, Sasaki T, Rao D, Bottini N, Boin F, Ainsworth R. Single Cell RNA-seq Identifies Circulating Double-negative-2 B-cell Population Associated with Progressive Scleroderma Interstitial Lung Disease [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/single-cell-rna-seq-identifies-circulating-double-negative-2-b-cell-population-associated-with-progressive-scleroderma-interstitial-lung-disease/. Accessed .
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