2026-10-14T21:08:51Z https://www.scidb.cn/oai

10.57760/sciencedb.27492 2025-10-20T11:11:58Z

2025-10-20 Raw data for article "Phenotypes of synovial fluid Treg cells in checkpoint blockade-related inflammatory arthritis" doi:10.57760/sciencedb.27492 en Regulatory T (Treg) cells may become dysregulated in Checkpoint blockade-related inflammatory arthritis (CBIA), and we aimed to profile phenotypes and cytokine-secreting patterns of Tregs in CBIA. Using a 77-protein panel, we here profiled and compared single-cell membrane proteomics of Treg cells in synovial fluid (SF) in 15 patients with active CBIA onset, 12 patients with active rheumatoid arthritis (RA), and 9 CBI-treated cancer patients with non-autoimmune inflammatory knee swelling. Microbead-sorted Treg subsets from CBIA patients underwent 32-cytokine panel secretome analysis. Peripheral blood (PB) Tregs from 7 CBIA and 6 RA patients were similarly analyzed. Findings were correlated with modified Clinical Disease Activity Index (mCDAI) in CBIA patients. Unsupervised clustering revealed two atypical immune-activating Treg cell clusters common to both CBIA and RA patients, in which a immuno-activating (featuring ICOS+CD134+CD137+) cluster was distinct to CBIA patients. This immuno-activating cluster was found to have a positive correlation to the mCDAI in CBIA patients. In single-cell secreting proteomics of SF-derived Treg cells in CBIA patients, we found that clusters distinct to the immuno-activating cell group featured inflammatory cytokine secretion of mainly MCP1 and MCP4, which was validated by Peripheral CBIA secreting proteomics (vs. RA, which preferentially secreted CCL11/CXCL10). Other non-immuno-activating cells mainly secreted immune-modulatory cytokines of IL10, IL4, and TGFB1. Consistently, MCP1/MCP4+polysecreting cluster proportion was also positively correlated with mCDAI. At single-cell proteomic level, an atypical, MCP1/MCP4+polysecreting immuno-activating Treg cell type is found to have a strong relation to clinical disease activity of CBIA.This dataset contains three datasets of single-cell membrane /secreting proteomics data (located within three folders respectively), and each folder contains the original values of protein expression (.csv files), analysis codes (.Rdata, .txt files), and grouping information (.xlsx files). Sc-Abseq; Sc-secretome; Immune-related adverse events; inflammatory arthritis; regulatory T cells Chuanzhu Lv RESTRICTED dataset http://www.doi.org/10.3389/fonc.2025.1628790 Science Data Bank