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Single-cell transcriptome analysis and protein profiling reveal broad immune system activation in IgG4-related disease
Chenyang Lu, Shasha Li, Pingying Qing, Qiuping Zhang, Xing Ji, Zhigang Tang, Chunyan Chen, Tong Wu, Yidan Hu, Yi Zhao, Xiaohui Zhang, Qi He, David A. Fox, Chunyu Tan, Yubin Luo, Yi Liu
Chenyang Lu, Shasha Li, Pingying Qing, Qiuping Zhang, Xing Ji, Zhigang Tang, Chunyan Chen, Tong Wu, Yidan Hu, Yi Zhao, Xiaohui Zhang, Qi He, David A. Fox, Chunyu Tan, Yubin Luo, Yi Liu
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Resource and Technical Advance Inflammation

Single-cell transcriptome analysis and protein profiling reveal broad immune system activation in IgG4-related disease

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Abstract

IgG4-related disease (IgG4-RD) is a systemic autoimmune disease with unclear pathogenesis. We performed single-cell RNA-seq and surface proteome analyses on 61,379 PBMCs from 9 treatment-naive IgG4-RD patients and 7 age- and sex-matched healthy controls. Integrative analyses were performed for altered gene expression in IgG4-RD, and flow cytometry and immunofluorescence were used for validation. We observed expansion of plasmablasts with enhanced protein processing and activation, which correlated with the number of involved organs in IgG4-RD. Increased proportions of CD4+ cytotoxic T lymphocytes (CTLs), CD8+ CTLs-GNLY (granulysin), and γδT cells with enhanced chemotaxis and cytotoxicity but with suppressed inhibitory receptors characterize IgG4-RD. Prominent infiltration of lymphocytes with distinct compositions were found in different organs of IgG4-RD patients. Transcription factors (TFs), including PRDM1/XBP1 and RUNX3, were upregulated in IgG4-RD, promoting the differentiation of plasmablasts and CTLs, respectively. Monocytes in IgG4-RD have stronger expression of genes related to cell adhesion and chemotaxis, which may give rise to profibrotic macrophages in lesions. The gene activation pattern in peripheral immune cells indicated activation of multiple interaction pathways between cell types, in part through chemokines or growth factors and their receptors. Specific upregulation of TFs and expansion of plasmablasts and CTLs may be involved in the pathogenesis of IgG4-RD, and each of these populations are candidate targets for therapeutic interventions in this disease.

Authors

Chenyang Lu, Shasha Li, Pingying Qing, Qiuping Zhang, Xing Ji, Zhigang Tang, Chunyan Chen, Tong Wu, Yidan Hu, Yi Zhao, Xiaohui Zhang, Qi He, David A. Fox, Chunyu Tan, Yubin Luo, Yi Liu

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Figure 2

The transcriptional features of B cells in IgG4-RD.

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The transcriptional features of B cells in IgG4-RD.
(A) UMAP visualizati...
(A) UMAP visualization of B cell subsets shows 5 clusters that were identified and color coded. (B and C) Comparison of the proportions of B cell subtypes, separated by condition and donor. HC n = 7, IgG4-RD n = 9. HC, healthy control; P, patient. Results are shown as mean ± SD. Exact 2-sided P values are given. Significance was determined by Student’s t test (naive B, intermediate memory B) or Mann-Whitney test (memory B, plasmablast, and dividing plasmablast). (D) Scatter plots depicting the correlation between serum concentration of IgG4 (g/L) or numbers of organs involved and percentage of plasmablast/dividing plasmablast of B cells in IgG4-RD (n = 9). Shown are R2, exact 2-tailed P values, and 95% confidence intervals. Correlation was determined by linear regression. (E) Volcano plot showing the differentially expressed genes between B cells from IgG4-RD and HCs. (F) GO analysis using Metascape for genes that were upregulated in B cells from IgG4-RD versus HCs. (G) GSEA shows top enriched pathways in IgG4-RD. NES, normalized enrichment score. (H) Trajectory of differentiation from naive B cells to plasmablasts predicted by monocle and heatmap show upregulated or downregulated genes in the differentiation process. (I) Heatmap of the t values of AUC scores of expression regulation by transcription factors of the clusters, as estimated using SCENIC (see Supplemental Methods). (J) UMAP visualization of IGHG4, XBP1, and PRDM1 in B cells. (K) Correlation of expression of XBP1 and PRDM1 with IGHG4 expression (Spearman’s r), proportion of plasmablasts (Spearman’s r), and number of involved organs (Pearson’s r) in IgG4-RD (n = 9), respectively. Exact 2-tailed P values and Pearson’s/Spearman’s r are presented.

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