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Single-cell transcriptome analysis and protein profiling reveal broad immune system activation in IgG4-related disease
Chenyang Lu, … , Yubin Luo, Yi Liu
Chenyang Lu, … , Yubin Luo, Yi Liu
Published August 10, 2023
Citation Information: JCI Insight. 2023;8(17):e167602. https://doi.org/10.1172/jci.insight.167602.
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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 1

Single-cell multiomics analysis of PBMCs from individuals with IgG4-RD and healthy controls.

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Single-cell multiomics analysis of PBMCs from individuals with IgG4-RD a...
(A) Overview of the participants included and the samples and data collected. (B) Description of vital clinical characteristics of patients. (C) UMAP visualization of 61,379 cells after QC according to groups and samples, respectively. (D) UMAP plot of clustering determined by Seurat v.4 shows a total of 9 major clusters (clusters 0 to 8) that were identified and color coded. (E) Projection of cells expressing transcripts (blue) and chosen surface proteins (red) to the UMAP plots. (F) Bar plot of the proportions of cell types shown in D separated by condition and donor. HC, healthy control; P, patient; MN, monocyte; NK, natural killer cell; DC, dendritic cell; Prolif lympho, proliferating lymphocytes. (G) Comparison of proportions of each cell type between the 2 groups (7 HCs, 9 IgG4-RD patients). Shown are exact 2-tailed P values by Wilcoxon’s rank-sum test (CD14+ monocyte, B, DC, platelet, and prolif. lympho) or Student’s t test (CD3+ T, NK, CD8+ T, and CD16+ monocyte) according to distribution.w Box-and-whisker plot features: minimum whisker, 25th percentile − 1.5 × interquartile range (IQR) or the lowest value within; minimum box, 25th percentile; center, median; maximum box, 75th percentile; maximum whisker, 75th percentile + 1.5 × IQR or greatest value within.

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

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