Peripheral Biomarker Signatures in Rheumatoid Arthritis–Associated Interstitial Lung Disease

IF 10.9 1区 医学 Q1 RHEUMATOLOGY Arthritis & Rheumatology Pub Date : 2025-03-03 DOI:10.1002/art.43149
Austin M. Wheeler, Joshua F. Baker, Thomas R. Riley IV, Tate M. Johnson, Yangyuna Yang, Punyasha Roul, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Gail Kerr, Dana P. Ascherman, Paul Monach, Andreas Reimold, Scott Matson, Jill A. Poole, Michael J. Duryee, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England
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Abstract

Objective

Rheumatoid arthritis–associated interstitial lung disease (RA-ILD) is a significant cause of morbidity and mortality among patients with RA, yet effective risk stratification for RA-ILD is lacking. We sought to characterize unique peripheral blood biomarker signatures in RA that could improve RA-ILD discrimination beyond clinical and genetic risk factors.

Methods

We performed a cross-sectional study of participants in the Veterans Affairs Rheumatoid Arthritis Registry. ILD was validated through systematic record review. Autoantibodies (n = 14), proinflammatory cytokines/chemokines (n = 36), adipokines (n = 3), alarmins (n = 3), and matrix metalloproteinases (n = 9) were measured from banked serum or plasma. MUC5B rs35705950 genotyping was obtained via microarray. Principal component (PC) analysis was performed to derive unique biomarker signatures. Logistic regression was used to compare models predicting RA-ILD presence using combinations of clinical, peripheral biomarker, and genetic variables.

Results

Among 2,001 participants with RA (88.7% male, mean age 63.7 years), 121 (6.4%) had RA-ILD. A total of 15 PCs were identified, with 8 significantly associated with RA-ILD after adjusting for clinical factors. These eight included biomarker themes of innate and allergic responses, autoantibodies (anti–cyclic citrullinated peptide, rheumatoid factor, anti–malondialdehyde-acetaldehyde adduct), adipokines, alarmins, tissue remodeling, and neutrophil chemotaxis. Models with PCs (area under the receiver operating characteristic curve [AUC] 0.739) and PCs with MUC5B (AUC 0.751) outperformed clinical risk factors alone (AUC 0.630; P < 0.001).

Conclusion

Peripheral biomarker signatures are associated with RA-ILD and improve RA-ILD identification beyond clinical risk factors. In addition to demonstrating the potential for peripheral biomarkers to aid RA-ILD risk stratification, these findings suggest diverse pathways are involved in RA-ILD pathogenesis.

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类风湿关节炎相关间质性肺疾病的外周生物标志物特征
类风湿关节炎相关间质性肺疾病(RA- ild)是RA患者发病和死亡的重要原因,但RA- ild的有效风险分层尚缺乏。我们试图描述RA中独特的外周血生物标志物特征,这些特征可以改善RA- ild的区分,超越临床和遗传风险因素。
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来源期刊
Arthritis & Rheumatology
Arthritis & Rheumatology RHEUMATOLOGY-
CiteScore
20.90
自引率
3.00%
发文量
371
期刊介绍: Arthritis & Rheumatology is the official journal of the American College of Rheumatology and focuses on the natural history, pathophysiology, treatment, and outcome of rheumatic diseases. It is a peer-reviewed publication that aims to provide the highest quality basic and clinical research in this field. The journal covers a wide range of investigative areas and also includes review articles, editorials, and educational material for researchers and clinicians. Being recognized as a leading research journal in rheumatology, Arthritis & Rheumatology serves the global community of rheumatology investigators and clinicians.
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