Objectives The aim of this study is to profile the transcriptional landscapes of affected tissues and peripheral blood mononuclear cells (PBMCs) at the single-cell level in IgG4-related disease (IgG4-RD). Identifying the cell populations and crosstalk between immune cells and non-immune cells will assist us in understanding the aetiology of IgG4-RD.

Methods We performed single-cell RNA sequencing analysis on submandibular glands (SMGs) and PBMCs from patients with IgG4-RD and matched controls. Additionally, bulk RNA sequencing of PBMCs was used to construct the immune repertoire. Furthermore, multiplex immunofluorescence staining was performed to validate the transcriptomic results.

Results We identified three novel subsets of tissue-resident immune cells in the SMGs of patients with IgG4-RD. TOP2A_B cells and TOP2A_T cells had stemness signatures, and trajectory analysis showed that TOP2A_B cells may differentiate into IgG4+plasma cells and that TOP2A_T cells may differentiate into T follicular helper (Tfh) cells. ICOS_PD-1_B cells with Tfh-like characteristics appeared to be an intermediate state in the differentiation from B cells to IgG4+plasma cells. The cellular communication patterns within immune cells and between immune cells and non-immune cells were altered in IgG4-RD compared with controls. Consistently, infection-related pathways were shared in B cells and T cells from SMGs and PBMCs. Furthermore, immune clonotype analysis of PBMC samples showed the complementary determining region 3 amino acid CQQSYSTPYTF was expanded in patients with IgG4-RD.

Conclusion Our data revealed the cellular and molecular changes at the single-cell resolution of IgG4-RD and provide valuable insights into the aetiology and novel therapeutic targets of the autoimmune disease.

Data are available in a public, open access repository. The raw sequence data reported in this paper have been deposited in the Genome Sequence Archive (Genomics, Proteomics & Bioinformatics 2021) in National Genomics Data Center (Nucleic Acids Res 2022), China National Center for Bioinformation/Beijing Institute of Genomics, Chinese Academy of Sciences (GSA-Human: HRA004407) that are publicly accessible at: https://ngdc.cncb.ac.cn/gsa-human.