TY - JOUR
T1 - Autoantibodies against citrullinated and native proteins and prediction of rheumatoid arthritis-associated interstitial lung disease
T2 - a nested case–control study
AU - Kronzer, Vanessa L.
AU - Hayashi, Keigo
AU - Yoshida, Kazuki
AU - Davis, John Manley III
AU - McDermott, Gregory C.
AU - Huang, Weixing
AU - Dellaripa, Paul F.
AU - Cui, Jing
AU - Feathers, Vivi
AU - Gill, Ritu R.
AU - Hatabu, Hiroto
AU - Nishino, Mizuki
AU - Blaustein, Rachel
AU - Crowson, Cynthia S.
AU - Robinson, William H.
AU - Sokolove, Jeremy
AU - Liao, Katherine P.
AU - Weinblatt, Michael E.
AU - Shadick, Nancy A.
AU - Doyle, Tracy J.
AU - Sparks, Jeffrey A.
N1 - Funding Information:
This work was funded by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant number K23 AR069688 to JAS). TJD is supported by the US National Heart, Lung, and Blood Institute (grant number R01 HL155522). GCM is supported by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant number T32 AR007530). HH is supported by the US National Cancer Institute (grant numbers R01 CA203636 and U01 CA209414) and the US National Heart, Lung, and Blood Institute (grant numbers R01 HL111024, R01 HL135142, and R01 HL130974). JAS is also supported by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers R01 AR077607, P30 AR070253, and P30 AR072577), the R. Bruce and Joan M. Mickey Research Scholar Fund, and the Llura Gund Award for Rheumatoid Arthritis Research and Care. This content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard University, its affiliated academic health care centres, or the US National Institutes of Health.
Funding Information:
This work was funded by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant number K23 AR069688 to JAS). TJD is supported by the US National Heart, Lung, and Blood Institute (grant number R01 HL155522). GCM is supported by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant number T32 AR007530). HH is supported by the US National Cancer Institute (grant numbers R01 CA203636 and U01 CA209414) and the US National Heart, Lung, and Blood Institute (grant numbers R01 HL111024, R01 HL135142, and R01 HL130974). JAS is also supported by the US National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers R01 AR077607, P30 AR070253, and P30 AR072577), the R. Bruce and Joan M. Mickey Research Scholar Fund, and the Llura Gund Award for Rheumatoid Arthritis Research and Care. This content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard University, its affiliated academic health care centres, or the US National Institutes of Health.
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/2
Y1 - 2023/2
N2 - Background: Rheumatoid arthritis-associated interstitial lung disease (ILD) is one of the leading causes of premature death among patients with rheumatoid arthritis. Improving prediction of rheumatoid arthritis-associated ILD is crucial to allow for earlier diagnosis and treatment. We aimed to identify fine-specificity anti-citrullinated protein antibodies (ACPAs) associated with incident rheumatoid arthritis-associated ILD. Methods: In this nested case–control study within the prospective Brigham Rheumatoid Arthritis Sequential Study (BRASS), we matched cases of incident rheumatoid arthritis-associated ILD diagnosed between March 1, 2003, and April 14, 2016, to control patients with rheumatoid arthritis without ILD on the following characteristics: time of blood collection, age, sex, rheumatoid arthritis duration, and rheumatoid factor status. We measured ACPA and anti-native protein antibodies using a multiplex assay on stored serum collected before onset of rheumatoid arthritis-associated ILD. We used logistic regression models to calculate odds ratios (ORs) with 95% CIs for rheumatoid arthritis-associated ILD, adjusting for prospectively collected covariates. We estimated the optimism-corrected area under the curves (AUCs) using internal validation. We used model coefficients to generate a risk score for rheumatoid arthritis-associated ILD. Findings: We identified 84 incident rheumatoid arthritis-associated ILD cases (mean age 67 [SD 10] years, 65 [77%] female and 19 [23%] male, 76 [90%] White) and 233 rheumatoid arthritis controls without ILD (mean age 66 [11] years, 186 [80%] female and 47 [20%] male, 219 [94%] White). We identified six fine-specificity antibodies that were associated with rheumatoid arthritis-associated ILD. The antibody isotypes and targeted proteins were IgA2 to citrullinated histone 4 (adjusted OR 0·08 [95% CI 0·03–0·22] per log-transformed unit), IgA2 to citrullinated histone 2A (4·03 [2·03–8·00]), IgG to cyclic citrullinated filaggrin (3·47 [1·71–7·01]), IgA2 to native cyclic histone 2A (5·52 [2·38–12·78]), IgA2 to native histone 2A (4·60 [2·18–9·74]), and IgG to native cyclic filaggrin (2·53 [1·47–4·34]). These six antibodies predicted the risk of rheumatoid arthritis-associated ILD better than did all clinical factors combined (optimism-corrected AUC 0·84 versus 0·73). We developed a risk score for rheumatoid arthritis-associated ILD by combining these antibodies with clinical factors (smoking, disease activity, glucocorticoid use, and obesity). At 50% predicted probability of developing rheumatoid arthritis-associated ILD, the risk scores both without (2·6) and with (5·9) antibody biomarkers achieved a specificity of 93% or higher for rheumatoid arthritis-associated ILD. Interpretation: Specific ACPAs and anti-native protein antibodies improve prediction of rheumatoid arthritis-associated ILD. These findings implicate synovial protein antibodies in the pathogenesis of rheumatoid arthritis-associated ILD and, once validated in external studies, suggest that these antibodies might have clinical utility in predicting the development of ILD in patients with rheumatoid arthritis. Funding: US National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases.
AB - Background: Rheumatoid arthritis-associated interstitial lung disease (ILD) is one of the leading causes of premature death among patients with rheumatoid arthritis. Improving prediction of rheumatoid arthritis-associated ILD is crucial to allow for earlier diagnosis and treatment. We aimed to identify fine-specificity anti-citrullinated protein antibodies (ACPAs) associated with incident rheumatoid arthritis-associated ILD. Methods: In this nested case–control study within the prospective Brigham Rheumatoid Arthritis Sequential Study (BRASS), we matched cases of incident rheumatoid arthritis-associated ILD diagnosed between March 1, 2003, and April 14, 2016, to control patients with rheumatoid arthritis without ILD on the following characteristics: time of blood collection, age, sex, rheumatoid arthritis duration, and rheumatoid factor status. We measured ACPA and anti-native protein antibodies using a multiplex assay on stored serum collected before onset of rheumatoid arthritis-associated ILD. We used logistic regression models to calculate odds ratios (ORs) with 95% CIs for rheumatoid arthritis-associated ILD, adjusting for prospectively collected covariates. We estimated the optimism-corrected area under the curves (AUCs) using internal validation. We used model coefficients to generate a risk score for rheumatoid arthritis-associated ILD. Findings: We identified 84 incident rheumatoid arthritis-associated ILD cases (mean age 67 [SD 10] years, 65 [77%] female and 19 [23%] male, 76 [90%] White) and 233 rheumatoid arthritis controls without ILD (mean age 66 [11] years, 186 [80%] female and 47 [20%] male, 219 [94%] White). We identified six fine-specificity antibodies that were associated with rheumatoid arthritis-associated ILD. The antibody isotypes and targeted proteins were IgA2 to citrullinated histone 4 (adjusted OR 0·08 [95% CI 0·03–0·22] per log-transformed unit), IgA2 to citrullinated histone 2A (4·03 [2·03–8·00]), IgG to cyclic citrullinated filaggrin (3·47 [1·71–7·01]), IgA2 to native cyclic histone 2A (5·52 [2·38–12·78]), IgA2 to native histone 2A (4·60 [2·18–9·74]), and IgG to native cyclic filaggrin (2·53 [1·47–4·34]). These six antibodies predicted the risk of rheumatoid arthritis-associated ILD better than did all clinical factors combined (optimism-corrected AUC 0·84 versus 0·73). We developed a risk score for rheumatoid arthritis-associated ILD by combining these antibodies with clinical factors (smoking, disease activity, glucocorticoid use, and obesity). At 50% predicted probability of developing rheumatoid arthritis-associated ILD, the risk scores both without (2·6) and with (5·9) antibody biomarkers achieved a specificity of 93% or higher for rheumatoid arthritis-associated ILD. Interpretation: Specific ACPAs and anti-native protein antibodies improve prediction of rheumatoid arthritis-associated ILD. These findings implicate synovial protein antibodies in the pathogenesis of rheumatoid arthritis-associated ILD and, once validated in external studies, suggest that these antibodies might have clinical utility in predicting the development of ILD in patients with rheumatoid arthritis. Funding: US National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases.
UR - http://www.scopus.com/inward/record.url?scp=85146830976&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146830976&partnerID=8YFLogxK
U2 - 10.1016/S2665-9913(22)00380-0
DO - 10.1016/S2665-9913(22)00380-0
M3 - Article
AN - SCOPUS:85146830976
SN - 2665-9913
VL - 5
SP - e77-e87
JO - The Lancet Rheumatology
JF - The Lancet Rheumatology
IS - 2
ER -