{"doi":"10.1002/acr2.70108","title":"<scp>IL</scp> ‐17 <sup>+</sup> / <scp>IL</scp> ‐10 <sup>+</sup> Ratio in <scp>TCRαβ</scp> <sup>+</sup> <scp>CD4</scp> <sup>−</sup> <scp>CD8</scp> <sup>−</sup> T Cells As a Marker of Disease Activity in Lupus‐Prone Mice and Patients With Systemic Lupus Erythematosus","abstract":"Objective T cell receptor αβ + (TCRαβ + ) CD4 − CD8 − double‐negative (DN) T cells are expanded in lupus‐prone mice and patients with systemic lupus erythematosus (SLE), produce interleukin‐17 (IL‐17), and contribute to disease pathogenesis. However, it is not known whether there is functional heterogeneity within this population. This study aimed to determine whether a subset of DN T cells produces IL‐10 and whether the ratio of IL‐17 + /IL‐10 + DN T cells correlates with disease activity. Methods Flow cytometry was used to analyze DN T cells in lupus‐prone MRL/ lpr mice and patients with SLE. IL‐17 + and IL‐10 + DN T cells were identified and quantified in the peripheral blood and lymphoid organs. Correlations between the IL‐17 + /IL‐10 + DN T cell ratio and clinical parameters, including the SLE Disease Activity Index (SLEDAI) and proteinuria, were examined. Results IL‐17 + DN T cells were increased in lupus‐prone mice, whereas IL‐10 + DN T cells decreased in aging MRL/ lpr mice. In patients with SLE (n = 67), the IL‐17 + /IL‐10 + DN T cell ratio was associated with higher SLEDAI scores and was elevated in those with proteinuria. A longitudinal analysis of patients with SLE similarly showed a positive correlation between SLEDAI scores and the IL‐17 + /IL‐10 + DN T cell ratio. Conclusion The observation of nonoverlapping IL‐10 + and IL‐17 + DN T cells suggests heterogeneity within the DN T cells in both lupus‐prone mice and patients. The IL‐17 + /IL‐10 + DN T cell ratio may serve as a biomarker to monitor disease activity in patients with SLE.","journal":"ACR Open Rheumatology","year":2025,"id":529065,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9554,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":376163,"name":"Yi Li","orcid":"0000-0002-9976-518X","position":1,"is_corresponding":false},{"id":281382,"name":"Hao Li","orcid":"0000-0002-2171-8826","position":2,"is_corresponding":false},{"id":287935,"name":"Anwesha Kar","orcid":"0000-0002-4455-6276","position":3,"is_corresponding":false},{"id":1407322,"name":"Rong Fu","orcid":"0000-0001-9240-0359","position":4,"is_corresponding":false},{"id":693751,"name":"Wei Li","orcid":"0009-0003-4681-4923","position":5,"is_corresponding":false},{"id":255851,"name":"Vasileios C. Kyttaris","orcid":"0000-0001-7652-3826","position":6,"is_corresponding":false},{"id":12823,"name":"George C. Tsokos","orcid":"0000-0001-9589-2360","position":7,"is_corresponding":false},{"id":1407819,"name":"Rui Imai","orcid":null,"position":0,"is_corresponding":true}],"reference_count":22,"raw_metadata":null,"created_at":"2026-07-19T02:50:52.565868Z","pmid":"41077860","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}