To the Editor:
Interstitial lung disease (ILD) is common among patients with rheumatoid arthritis (RA), but ILD is often diagnosed late when there is already a heavy burden of lung disease (1). Among patients with RA without a known history of ILD, it is estimated that approximately one-third of patients have high-resolution computed tomography (HRCT) abnormalities suggestive of ILD (subclinical ILD) and more than half of these patients demonstrated radiologic progression (2). These estimates of disease are likely biased owing to small sample size and/or retrospective study design (2–5).
Recently, we discovered that the MUC5B promoter variant is a genetic risk factor for patients with established RA-ILD (6). Given this association, we hypothesized that the MUC5B promoter variant would also be associated with subclinical ILD among patients with RA. We performed a prospective study of subjects with RA without known ILD to determine the prevalence of and risk factors for subclinical ILD in RA.
Methods
Subjects with RA (2010 American College of Rheumatology criteria and/or a clinical diagnosis of RA by a board-certified rheumatologist) were identified from the outpatient rheumatology clinic at the University of Colorado and asked to participate if they had no clinical diagnosis of ILD. The institutional review board approved all protocols (COMIRB 16-1907), and all patients provided written informed consent.
All subjects filled out questionnaires, had blood samples collected, had measurements taken of lung function with spirometry (FVC) and DlCO, and had lung imaging performed with HRCT scans.
All HRCT scans were read independently by two chest radiologists using a scoring form. Qualitative findings of interstitial fibrosis were defined by the presence of irregular reticular opacities, traction bronchiectasis, and/or honeycombing. Discrepancies were resolved by consensus. Subclinical ILD was defined as subjects with RA without a diagnosis of ILD at the time of enrollment and who had interstitial fibrosis on a prospectively performed HRCT as determined by radiologist consensus.
All HRCT scans were also analyzed using data-driven textural analysis (DTA) (7). This quantitative method provides an objective, continuous, subject-level fibrosis score, which is computed as the percentage of total lung volume classified as fibrotic by DTA.
Serum samples were tested by ELISA for rheumatoid factor (RF) (Inova Diagnostics, Inc.) and anti-CCP (cyclic citrullinated peptide) (Inova Diagnostics, Inc.). The MUC5B SNP rs35705950 was genotyped by TaqMan assay (Thermo Fisher Scientific) (6).
Statistical analysis
We analyzed the association between the MUC5B promoter variant and subclinical ILD using logistic regression models adjusted for age, male sex, and ever-smoking history based on biologic rationale. We performed an exploratory analysis to determine the relevance of potential RA-specific covariates and a sensitivity analysis using backward stepwise selection. Quantitative fibrosis score was log-transformed to achieve normality, and multivariable linear regression modeling of quantitative fibrosis score was performed using the same model-building strategy as described for radiologist-identified subclinical RA-ILD.
Results
A total of 194 subjects with RA consented for participation, 5 withdrew consent, and 5 did not complete the HRCT; 184 subjects with RA were included in the final analysis. The median age was 56.4 years, and subjects were predominantly women and ever-smokers (Table 1). Median lung function was normal with minimal symptoms of shortness of breath (8). The majority were RF and anti-CCP positive with a median RA duration of 8.5 years. Fifty-four percent were on methotrexate. The minor (T) allele frequency for the MUC5B promoter variant was 0.097.
Table 1.
Covariate | Total Cohort (n = 184) | Radiologist-identified Subclinical RA-ILD |
Log Quantitative Fibrosis Score |
|||
---|---|---|---|---|---|---|
Present (n = 38) | Absent (n = 146) | P Value* | Coefficient (95% CI) | P Value† | ||
Age, yr | 56.4 (44.2 to 66.6) | 64.4 (57.0 to 69.8) | 54.4 (40.0 to 64.4) | <0.001 | 0.04 (0.03 to 0.05) | <0.001 |
Sex, M | 18 | 24 | 16 | 0.288 | 0.62 (0.21 to 1.03) | 0.003 |
Non-Hispanic White | 74 | 72 | 74 | 0.878 | 0.04 (-0.33 to 0.42) | 0.822 |
Ever-smoker | 51 | 61 | 49 | 0.207 | 0.67 (0.36 to 0.97) | <0.001 |
FVC, % predicted | 100 (90 to 112) | 94 (85 to 107) | 101 (91 to 113) | 0.122 | −0.02 (−0.03 to −0.01) | <0.001 |
DlCO, % predicted | 87 (73 to 100) | 79 (63 to 88) | 90 (76 to 102) | <0.001 | −0.02 (−0.03 to −0.02) | <0.001 |
UCSD Shortness of Breath Questionnaire‡ | 6 (2 to 17) | 8 (3 to 18) | 5 (2 to 17) | 0.481 | 0.01 (0.00 to 0.02) | 0.046 |
Rheumatoid factor | 81 | 78 | 82 | 0.569 | 0.24 (−0.18 to 0.67) | 0.262 |
Anti-CCP antibody | 84 | 89 | 83 | 0.414 | 0.18 (−0.21 to 0.58) | 0.365 |
RA duration, yr | 8.5 (3 to 17) | 10 (3 to 20) | 8 (2 to 16) | 0.325 | 0.01 (0.00 to 0.02) | 0.135 |
Current methotrexate use | 54 | 44 | 56 | 0.200 | 0.29 (−0.02 to 0.61) | 0.068 |
Minor (T) allele frequency for MUC5B | 0.10 | 0.17 | 0.08 | 0.012§ | 0.66 (0.28 to 1.04) | 0.001 |
Quantitative fibrosis score | 0.34 (0.17 to 0.73) | 0.93 (0.55 to 1.95) | 0.25 (0.13 to 0.55) | <0.001 |
Definition of abbreviations: CCP = cyclic citrullinated peptide; CI = confidence interval; ILD = interstitial lung disease; IQR = interquartile range; RA = rheumatoid arthritis; UCSD = University of California San Diego.
Data expressed as median (IQR) or percentage.
P values from univariate logistic regression between covariate and outcome of radiologist-identified ILD.
P values from univariate linear regression between covariate and outcome of log quantitative fibrosis score.
University of California San Diego Shortness of Breath Questionnaire (scale 0–120, with higher scores indicating more breathlessness) (8).
Based on a dominant model (GG vs. GT/TT).
Radiologist consensus for interstitial fibrosis was identified in 38 (21%) subjects and was associated with age, DlCO % predicted, and the MUC5B minor allele (Table 1). Using quantitative imaging, the median DTA scores were higher in those with subclinical ILD than in those without subclinical ILD (P < 0.001). Higher DTA scores were also associated with older age, male sex, ever-smoking status, lower FVC % predicted, lower DlCO % predicted, a higher breathlessness score, and the MUC5B minor allele (Table 1).
The primary analysis demonstrated that the MUC5B minor allele was an independent predictor of subclinical ILD after adjustment for age, male sex, and ever-smoking history (Table 2). The exploratory and reduced models demonstrated a similar association between the MUC5B minor allele and subclinical ILD. The association between the MUC5B minor allele and quantitative fibrosis score was also consistent across all three models. Other explanatory covariates included age and, depending on the model and outcome, RF positivity, male sex, ever smoking, and methotrexate use.
Table 2.
Age (yr) |
Male Sex |
Ever-Smoking |
MUC5B Genotype (GT/TT) |
RF Positive |
CCP Antibody Positive |
Current Methotrexate Use |
RA Disease Duration (yr) |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Subclinical ILD | Odds Ratio | P Value | Odds Ratio | P Value | Odds Ratio | P Value | Odds Ratio | P Value | Odds Ratio | P Value | Odds Ratio | P Value | Odds Ratio | P Value | Odds Ratio | P Value |
Primary model | 1.07 (1.03 to 1.11) | <0.001 | 1.22 (0.45 to 3.28) | 0.694 | 1.04 (0.46 to 2.39) | 0.918 | 2.49 (1.01 to 6.12) | 0.047 | — | — | — | — | — | — | — | — |
Expanded model | 1.08 (1.04 to 1.13) | <0.001 | 1.40 (0.49 to 4.00) | 0.533 | 1.50 (0.59 to 3.83) | 0.400 | 2.71 (1.04 to 7.05) | 0.041 | 0.31 (0.10 to 0.98) | 0.046 | 1.94 (0.46 to 8.22) | 0.367 | 0.45 (0.18 to 1.16) | 0.098 | 0.99 (0.95 to 1.03) | 0.597 |
Reduced model | 1.07 (1.03 to 1.11) | <0.001 | — | — | — | — | 2.56 (1.04 to 6.28) | 0.041 | — | — | — | — | — | — | — | — |
Quantitative Fibrosis | Age (yr) |
Male Sex |
Ever-Smoking |
MUC5B Genotype (GT/TT) |
RF Positive |
CCP Antibody Positive |
Current Methotrexate Use |
RA Disease Duration (yr) |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Coefficient | P Value | Coefficient | P Value | Coefficient | P Value | Coefficient | P Value | Coefficient | P Value | Coefficient | P Value | Coefficient | P Value | Coefficient | P Value | |
Primary model | 0.03 (0.02 to 0.04) | <0.001 | 0.37 (0.03 to 0.71) | 0.036 | 0.38 (0.12 to 0.65) | 0.006 | 0.49 (0.16 to 0.82) | 0.004 | — | — | — | — | — | — | — | — |
Expanded model | 0.04 (0.03 to 0.05) | <0.001 | 0.38 (0.05 to 0.71) | 0.026 | 0.32 (0.06 to 0.57) | 0.016 | 0.60 (0.29 to 0.91) | <0.001 | −0.12 (−0.45 to 0.21) | 0.467 | 0.23 (−0.14 to 0.61) | 0.224 | 0.27 (0.01 to 0.53) | 0.043 | −0.00 (−0.02 to 0.01) | 0.553 |
Reduced model | 0.03 (0.02 to 0.04) | <0.001 | 0.45 (0.11 to 0.79) | 0.011 | 0.33 (0.06 to 0.60) | 0.017 | 0.51 (0.19 to 0.84) | 0.002 | — | — | — | — | 0.26 (−0.01 to 0.52) | 0.058 | — | — |
Definition of abbreviations: CCP = cyclic citrullinated peptide; ILD = interstitial lung disease; RA = rheumatoid arthritis; RF = rheumatoid factor.
Primary model: Based on our hypothesis, we analyzed the association between the MUC5B promoter variant and subclinical ILD using logistic regression models adjusted for age, male sex, and smoking history (never, ever). Expanded model: Exploratory multivariable analysis adjusting for additional covariates of interest including RA disease duration, seropositivity to RF, seropositivity to CCP, and current methotrexate use. Reduced model: Sensitivity analysis performed by fitting a reduced model using backward stepwise selection (threshold P < 0.1; covariates considered included age, MUC5B, male sex, ever-smoking history, RA disease duration, seropositivity to RF, seropositivity to CCP, and current methotrexate use.
Conclusions
In this prospectively enrolled RA cohort without a prior diagnosis of ILD, the overall prevalence of subclinical ILD was 21%. Our findings support the association of the MUC5B promoter variant in subclinical RA-ILD, similar to our findings in established RA-ILD (6). Age was also associated with subclinical RA-ILD, but RA disease duration was not. The role of other RA-specific covariates (e.g., RF positivity and methotrexate use), male sex, and smoking history remains unclear in this cohort.
Subclinical radiologic abnormalities like these or those described in other cohorts (e.g., interstitial lung abnormalities and preclinical disease) have also been shown to be associated with the MUC5B promoter variant (9), are often progressive, and are associated with all-cause mortality (2, 5, 10). Our definition of subclinical ILD recognizes that these patients were not necessarily asymptomatic and therefore may have as-yet-unrecognized disease. However, this RA population was followed and recruited from a university rheumatology clinic and were not known to have ILD. Furthermore, the degree of symptoms and lung function impairment among those with subclinical ILD in this cohort was minimal and not to the extent observed in those with RA-ILD presenting for clinical care (11).
There was strong association between the radiologist-determined interstitial fibrosis and the quantitative fibrosis score (P = 2 × 10−10). Compared with the radiologist interpretation of subclinical ILD, quantitative fibrosis score was associated with lower lung function and more breathlessness. These data suggest that this quantitative technology may be more sensitive than radiologist interpretation for identifying early lung abnormalities.
To our knowledge, this is the largest prospectively screened cohort of diverse patients with RA with a standardized collection of questionnaires, pulmonary physiology, imaging, and biosamples. The primary limitation is the lack of a validation cohort. Despite this limitation, the clinical characteristics and MUC5B genotype of those with subclinical RA-ILD are consistent with what we have observed in established RA-ILD (6) and support the MUC5B promoter variant as a risk factor for subclinical RA-ILD. These findings should be tested in another cohort, and those with subclinical RA-ILD should be followed to understand the natural history of these findings. Early identification of ILD in RA may inform our understanding of disease pathogenesis and may provide a therapeutic window of opportunity to prevent progression to clinically significant RA-ILD.
Acknowledgments
Acknowledgment
The authors thank Alyssa Asaro, Marie Feser, Stefanie Rowsell, and Xi Zhang for their contributions to this project.
Footnotes
Supported by NIH/NHLBI grant HL138131 (J.S.L.) and Pfizer Investigator Initiated Pfizer Aspire Grant WI214990 (K.D.D.).
Author Contributions: K.D.D., D.A.S., and J.S.L. contributed to the study conception and design. K.D.D., C.C., and J.S.L. contributed to the recruitment of the study subjects. S.M.M., K.D.D., T.J.B., P.B.S., A.D.W., C.C., S.Y., M.K.D., S.M.H., and J.S.L. contributed to acquisition of the data. A.L.P., D.A.S., and J.S.L. contributed to the analysis and interpretation of the data. S.M.M. and J.S.L. contributed to the initial drafting of the manuscript. All authors contributed to critical revision and final approval of the manuscript.
Originally Published in Press as DOI: 10.1164/rccm.202109-2087LE on December 7, 2021
Author disclosures are available with the text of this letter at www.atsjournals.org.
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