Background: This article analyzed the relationship between serum sIL-2R levels and Th17/Treg immune balance in patients with rheumatoid arthritis-associated interstitial lung disease (RA-ILD) and their prognostic value.
Methods: RA patients (n = 311) were retrospectively selected for research and then allocated to the RA and RA-ILD groups. Baseline data and 3-year follow-up records of all patients were attained to assess disease progression. Serum sIL-2R levels were examined with ELISA, and Th17 and Treg cell clusters were tested with flow cytometry, followed by the calculation of the Th17/Treg ratio. The correlation of serum sIL-2R with Th17/Treg and related cytokines (IL-17, IL-6, IL-10, and TGF-β1) in RA-ILD patients were analyzed with Spearman's analysis. ROC curves were plotted for analyzing the performance of serum sIL-2R levels and the Th17/Treg ratio for predicting disease progression in RA-ILD patients. A multivariate Cox regression model was developed to screen independent risk factors for disease progression in RA-ILD patients.
Results: RA-ILD patients had elevated serum levels of sIL-2R, Th17 cells, IL-17, and IL-6 and an increased ratio of Th17/Treg, accompanied by a decreased Treg cell population and IL-10 and TGF-β1 levels. Serum sIL-2R levels were correlated positively with IL-17 levels and the Th17/Treg ratio in RA-ILD patients and negatively with IL-10 levels. DAS28 scores, serum sIL-2R levels, and an elevated Th17/Treg ratio were independent risk factors for disease progression in RA-ILD patients, and increased FEV1 and FEV1/FVC were protective factors.
Conclusion: Serum sIL-2R levels in conjunction with Th17/Treg immune balance can assist in predicting 3-year disease progression in RA-ILD patients.
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http://dx.doi.org/10.1111/1756-185X.70151 | DOI Listing |
Int J Rheum Dis
March 2025
Department of Laboratory Medicine, West China Hospital, Chengdu, Sichuan, China.
Background: This article analyzed the relationship between serum sIL-2R levels and Th17/Treg immune balance in patients with rheumatoid arthritis-associated interstitial lung disease (RA-ILD) and their prognostic value.
Methods: RA patients (n = 311) were retrospectively selected for research and then allocated to the RA and RA-ILD groups. Baseline data and 3-year follow-up records of all patients were attained to assess disease progression.
Zhongguo Shi Yan Xue Ye Xue Za Zhi
February 2025
Department of Hematology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, Fujian Province, China.
Objective: To investigate the predictive value of serum soluble interleukin-2 receptor(sIL-2R), tumor necrosis factor alpha(TNF-α), IgG and IgA for the recurrence in patients with multiple myeloma(MM).
Methods: A total of 108 MM patients who were initially diagnosed and treated in our hospital from January 2017 to March 2019, and 72 patients who met the diagnostic criteria and had complete follow-up data were selected as the study subjects. MM recurrence was the endpoint event, and follow-up was conducted until the occurrence of the endpoint event or the deadline of this study.
Intern Med
February 2025
Department of Endocrinology, Metabolism, Rheumatology and Nephrology, Faculty of Medicine, Oita University, Japan.
Idiopathic multicentric Castleman disease (iMCD) accompanied by thrombocytopenia, anasarca, fever, reticulin myelofibrosis/renal insufficiency, and organomegaly (TAFRO) frequently develops into prolonged severe thrombocytopenia and multiorgan dysfunction, which is associated with a high mortality rate. We herein describe three cases of iMCD-TAFRO in which serum soluble interleukin-2 receptor (sIL-2R) levels varied in relation to disease activity following the initiation of treatment. Thrombocytopenia persisted for several weeks to months after the normalization of the patients' C-reactive protein levels, whereas their sIL-2R levels normalized 10-47 days prior to platelet recovery (≥100×10/L).
View Article and Find Full Text PDFPeerJ Comput Sci
December 2024
Department of Artificial Intelligence, College of Information Technology, Misr University for Science & Technology, Cairo, Egypt.
Searching for a reliable indicator of treatment response in sarcoidosis remains a challenge. The use of the soluble interleukin 2 receptor (sIL-2R) as a measure of disease activity has been proposed by researchers. A machine learning model was aimed to be developed in this study to predict sIL-2R levels based on a patient's serum angiotensin-converting enzyme (ACE) levels, potentially aiding in lung function evaluation.
View Article and Find Full Text PDFMetabolites
December 2024
Division of Pulmonary, Critical Care, and Sleep, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL 32209, USA.
Sarcoidosis is a granulomatous disease affecting multiple organ systems and poses a diagnostic challenge due to its diverse clinical manifestations and absence of specific diagnostic tests. Currently, blood biomarkers such as ACE, sIL-2R, CD163, CCL18, serum amyloid A, and CRP are employed to aid in the diagnosis and monitoring of sarcoidosis. Metabolomics holds promise for identifying highly sensitive and specific biomarkers.
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