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Abstract Number: 0839

Comprehensive Single-cell Analysis Reveals Interferon Pathway Activation and Aberrant B Cell Dynamics in APS Autoimmunity

Haoyu Pan, Xiaohan Wei, Jinyi Qian, Shuyi Yu, Zhixia Yang, Zetao Ding, Chengde Yang and Hui Shi, Department of Rheumatology and lmmunology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, Shanghai, China (People's Republic)

Meeting: ACR Convergence 2024

Keywords: antiphospholipid syndrome, Autoantibody(ies), autoimmune diseases, B-Lymphocyte, interferon

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Session Information

Date: Saturday, November 16, 2024

Title: Abstracts: Antiphospholipid Syndrome

Session Type: Abstract Session

Session Time: 3:00PM-4:30PM

Background/Purpose: Antiphospholipid syndrome (APS) is a systemic autoimmune disease characterized with the presence of pathogenic antiphospholipid antibodies (aPL) by autoreactive B cells. However, it remains vague that at which stages in the central-to-peripheral lineage of B cell in APS patients acquire autoreactivity.

Methods: To obtain in-depth understanding of immune tolerance disturbance in APS patients, we performed single-cell transcriptome (RNA) and immune repertoire (VDJ) sequencing on mononuclear cells of paired bone marrow (BMMC) and peripheral blood (PBMC) samples from 13 untreated primary APS patients, (5 thrombotic APS patients, 4 obstetric APS patients and 4 aPL-carriers) and 3 healthy donors.

Results: After quality control and filtration, we obtained a total of 279,242 cells with integrated transcriptional and V(D)J features, including 113,843 BMMCs and 165,399 PBMCs. Analysis indicated widespread upregulation of interferon-associated genes (e.g., MX1, IFI6, IFITM3, IFI44L, IFI27) across multiple cell types in both BM and PB, with early-stage immune cells (HSC and GMP) also showing upregulated interferon-associated genes, suggesting foundational roles in shaping APS immune landscape (Figure 1). To further explore B cell abnormalities, we consolidated B cells and plasma cells from BM and PB to reconstruct the developmental lineage, identifying eleven distinct B cell subtypes categorized into four developmental stages. APS patients showed higher percentages of B cell subtypes and significant correlations between thrombotic events, B cell compositions, and anti-β2GP1 IgG titers, indicating quantitative abnormalities and progressive increases in B cell composition, especially in early-to-middle stages. Functional transcriptome analysis revealed pronounced differential states in early and intermediate B cells, with upregulation of interferon-related genes, antigen presentation genes, and key transcription factors. GO enrichment analysis highlighted significant aerobic respiration, cell cycle activities, and B cell signaling pathways. Elevated inflammatory and interferon responses were observed throughout B cell lineage in APS patients (Figure 2). Additionally, V(D)J sequencing data showed increased clonal expansion and clonal diversity in APS patients, particularly in early stages, with significant differences between BM and PB. Lower somatic hypermutation levels were noted in various B cell subsets, affecting high-affinity antibody production. BCR clonotype overlapping analysis demonstrated increased autoreactive potential, and differential usage of IGHV genes was enriched in APS patients. These findings describe abnormal BCR repertoire characteristics and underscore disturbed immune surveillance and central role of interferon-mediated pathways in APS autoimmunity (Figure 3).

Conclusion: We presented a comprehensive immune-desregulation blueprint in primary APS patients, as well as a significant influence of interferon pathway and profound understanding of the dynamics of obtaining autoreactivity alongside B cell lineage. These findings provide valuable insights into the emerging process of autoreactivity and potential therapeutic targets for APS.

Supporting image 1

A) Schematic diagram of the experimental design for the study. B) Heatmap displaying relative values of clinical indices across healthy controls or subjects with thrombotic-APS (n = 5), obstetric-APS (n = 4), or aPL-carrier (n = 4). C) Uniform Manifold Approximation and Projection (UMAP) plot depicting 263,261 mononuclear cells representing 11 immune cell clusters in integrated bone marrow (BM) and peripheral blood (PB) samples. D) Dotplot displaying expressions of marker genes for each cell cluster. E) UMAP plot showing distributions of BCR+ and TCRab+ cells. F) UMAP plot respectively show distribution of BM and PB cell clusters. G) Density heatmap displaying relative distribution density of cell quantity abundance in BM and PB cell clusters. Upper: BM; lower: PB. H) Volcanoplot showing differential expressed genes (DEGs) in each cell cluster. Upper: BM; lower: PB. I) Specifically expressed DEGs in corresponding cell cluster (T&NK, B, monocyte) and enriched GO functions. J) Calculated interferon-mediated signaling score according to REACTOME database (REACTOME_INTERFERON_SIGNALING) in BM and PB cell clusters identified by AUCell.

Supporting image 2

A) Re-constructed “central-to-periphery” developmental lineage of B cell, including 11 B cell subsets and were further divided into four stages. B) UMAP plot showing group information of B cell lineage. C) UMAP plot showing V(D)J information of B cell lineage. D) UMAP plot showing isotype of heavy chain of B cell lineage. E) UMAP plot showing isotype of light chain of B cell lineage. F) Multi-dimensional scaling (MDS) plot showing the differential state between APS and HC groups of each B cell subsets based on aggregated pseudo-bulk form. G) Volcanoplot showing differential expressed genes (DEGs) in each B cell cluster. Red refers to genes up-regulated in APS and blue refers to genes down-regulated in APS. H) Chord diagram showing shared DEGs upregulated in ≥ 4 B cell clusters. I) Constructed developmental trajectory alongside B cell lineage and ordered pseudotime alongside. J) Geneset score calculated by UCell along the B cell developmental trajectory, based on ordered pseudotime in (I). K) Clustered transcription factors (TF) regulation modules in 1st stage of B cell trajectory. TFs with top 5 activity in APS (red) and HC (black) groups were annotated respectively. L) Clustered transcription factors (TF) regulation modules in 2nd stage of B cell trajectory. TFs with top 5 activity in APS (red) and HC (black) groups were annotated respectively. M) Clustered transcription factors (TF) regulation modules in 3rd stage of B cell trajectory. TFs with top 5 activity in APS (red) and HC (black) groups were annotated respectively. N) Clustered transcription factors (TF) regulation modules in 4th stage of B cell trajectory. TFs with top 5 activity in APS (red) and HC (black) groups were annotated respectively. O) Network plot showing the top 5 active transcription factors and corresponding downstream up-regulated DEGs of each B cluster in 2nd stage (immature B, ISG15-B, naïve-B and activated-B) in APS group.

Supporting image 3

A) UMAP plot showing clonal expansion levels among B cell clusters. B) Pie plot distinguishing APS/HC and BM/PB sources showing clonal expansion levels among B cell clusters. C) Histogram distinguishing APS/HC and BM/PB sources showing clonal diversity levels among B cell clusters. D) Histogram distinguishing APS/HC and BM/PB sources showing somatic hypermutation levels (SHM) of IgM isotype among B cell clusters. E) Histogram distinguishing APS/HC and BM/PB sources showing somatic hypermutation levels (SHM) of IgG isotype among B cell clusters. F) Histogram distinguishing APS/HC and BM/PB sources showing somatic hypermutation levels (SHM) of Igλ isotype among B cell clusters. G) Histogram distinguishing APS/HC and BM/PB sources showing somatic hypermutation levels (SHM) of Igκ isotype among B cell clusters. H) Correlation matrix showing the V(D)J similarity level (Jaccard index) of BCR characteristic among BM and PB B cell clusters. I) Chord diagram showing the V(D)J similarity level (Jaccard index) among BM and PB B cell clusters. Upper: APS group; lower: HC group.J) ClonalNetwork plot showing the network interaction of clones shared between B cell clusters along the UMAP dimensional reduction. Upper: APS group; lower: HC group. K) Volcano plot showing differential expressed IGHV genes in APS B cell subsets. L) Heatmap showing the most frequent pairing usage preference of IGV genes and IGJ genes from bone marrow in APS group. M) Heatmap showing the most frequent pairing usage preference of IGV genes and IGJ genes from peripheral blood in APS group.


Disclosures: H. Pan: None; X. Wei: None; J. Qian: None; S. Yu: None; Z. Yang: None; Z. Ding: None; C. Yang: None; H. Shi: None.

To cite this abstract in AMA style:

Pan H, Wei X, Qian J, Yu S, Yang Z, Ding Z, Yang C, Shi H. Comprehensive Single-cell Analysis Reveals Interferon Pathway Activation and Aberrant B Cell Dynamics in APS Autoimmunity [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/comprehensive-single-cell-analysis-reveals-interferon-pathway-activation-and-aberrant-b-cell-dynamics-in-aps-autoimmunity/. Accessed .
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