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已发表论文
白细胞介素-6 作为类风湿关节炎相关间质性肺疾病生物标志物：一项回顾性研究
Authors Yu Z, Liu J, Chen L, Jiang M
Received 12 October 2025
Accepted for publication 28 December 2025
Published 14 January 2026 Volume 2026:19 567633
DOI https://doi.org/10.2147/IJGM.S567633
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Reynold Panettieri Jr
Zhiping Yu,1,* Ji Liu,2,* Letian Chen,1 Ming Jiang1
1Department of Respiratory and Critical Care Medicine, Yingtan People’s Hospital, Yingtan, Jiangxi, People’s Republic of China; 2Department of Hematology, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Letian Chen, Department of Respiratory and Critical Care Medicine, Yingtan People’s Hospital, Yingtan, Jiangxi, People’s Republic of China, Email 407880624@qq.com Ming Jiang, Department of Respiratory and Critical Care Medicine, Yingtan People’s Hospital, Yingtan, Jiangxi, People’s Republic of China, Email 527606024@qq.com
Objective: This study aims to assess the predictive value of interleukin-6 (IL-6) as a biomarker in patients with rheumatoid arthritis-associated interstitial lung disease (RA-ILD).
Methods: A total of 361 RA patients (236 RA non-ILD and 125 RA-ILD patients) are included in the study, and stratified analysis is performed according to age and gender. The RA-ILD group is divided into mild ILD, moderate ILD, and severe ILD groups based on HRCT score. Using logistic regression analysis to investigate the risk association between IL-6 and rheumatoid arthritis-associated interstitial lung disease (RA-ILD), and employing receiver operating characteristic (ROC) to determine the value of IL-6 for distinguishing RA-ILD. Pearson’s analysis and linear regression are used to analyze the association between IL-6 and RA disease activity, High-Resolution Computed Tomography (HRCT) scores, and Krebs Von den Lungen-6 (KL-6).
Results: The level of IL-6 in the RA-ILD group is higher than that in the RA non-ILD group (p < 0.001). The OR of IL-6 associated with the risk of ILD is 1.03 (p < 0.001). IL-6 demonstrated significant diagnostic utility in distinguishing RA-ILD patients from RA patients without ILD, with an area under the receiver operating characteristic curve (AUC) of 0.810 (95% CI: 0.767– 0.854; p < 0.001). At the best cutoff value of 8.87 pg/mL, IL-6 exhibited a sensitivity of 94.4% and specificity of 63.6%. There is no statistically significant difference in IL-6 among the ILD subgroups (p > 0.05). Pearson correlation analysis and multiple linear regression analysis show that IL-6 is significantly positively correlated with Disease Activity Score-28 (DAS28), but does not significantly correlate with HRCT score and KL-6.
Conclusion: IL-6 may be used as a new peripheral blood biomarker to predict RA-ILD.
Keywords: IL-6, RA-ILD, biomarker, inflammation, cytokine
1Department of Respiratory and Critical Care Medicine, Yingtan People’s Hospital, Yingtan, Jiangxi, People’s Republic of China; 2Department of Hematology, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Letian Chen, Department of Respiratory and Critical Care Medicine, Yingtan People’s Hospital, Yingtan, Jiangxi, People’s Republic of China, Email 407880624@qq.com Ming Jiang, Department of Respiratory and Critical Care Medicine, Yingtan People’s Hospital, Yingtan, Jiangxi, People’s Republic of China, Email 527606024@qq.com
Objective: This study aims to assess the predictive value of interleukin-6 (IL-6) as a biomarker in patients with rheumatoid arthritis-associated interstitial lung disease (RA-ILD).
Methods: A total of 361 RA patients (236 RA non-ILD and 125 RA-ILD patients) are included in the study, and stratified analysis is performed according to age and gender. The RA-ILD group is divided into mild ILD, moderate ILD, and severe ILD groups based on HRCT score. Using logistic regression analysis to investigate the risk association between IL-6 and rheumatoid arthritis-associated interstitial lung disease (RA-ILD), and employing receiver operating characteristic (ROC) to determine the value of IL-6 for distinguishing RA-ILD. Pearson’s analysis and linear regression are used to analyze the association between IL-6 and RA disease activity, High-Resolution Computed Tomography (HRCT) scores, and Krebs Von den Lungen-6 (KL-6).
Results: The level of IL-6 in the RA-ILD group is higher than that in the RA non-ILD group (p < 0.001). The OR of IL-6 associated with the risk of ILD is 1.03 (p < 0.001). IL-6 demonstrated significant diagnostic utility in distinguishing RA-ILD patients from RA patients without ILD, with an area under the receiver operating characteristic curve (AUC) of 0.810 (95% CI: 0.767– 0.854; p < 0.001). At the best cutoff value of 8.87 pg/mL, IL-6 exhibited a sensitivity of 94.4% and specificity of 63.6%. There is no statistically significant difference in IL-6 among the ILD subgroups (p > 0.05). Pearson correlation analysis and multiple linear regression analysis show that IL-6 is significantly positively correlated with Disease Activity Score-28 (DAS28), but does not significantly correlate with HRCT score and KL-6.
Conclusion: IL-6 may be used as a new peripheral blood biomarker to predict RA-ILD.
Keywords: IL-6, RA-ILD, biomarker, inflammation, cytokine