Evidence map›Paper›PMID 41821027›Full record

ArticleRespiratory research2026

Association between anti-citrullinated peptide antibodies and subclinical interstitial lung disease in community-dwelling adults: the multi-ethnic study of atherosclerosis.

Jenna V Lanz, Jan Hughes-Austin, Anna J Podolanczuk, John S Kim, Mary M Salvatore, William H Robinson, Ganesh Raghu, Eric A Hoffman, John D Newell, Jubal R Watts and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jenna V LanzDepartment of Medicine, Duke University Medical Center, Durham, NC, USA.
Jan Hughes-AustinDepartment of Orthopedic Surgery, University of California, San Diego, San Diego, CA, USA.
Anna J PodolanczukDepartment of Medicine, Weill Cornell Medical Center, New York, NY, USA.
John S KimDepartment of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA.
Mary M SalvatoreDepartment of Radiology, Jacobi Medical Center, Bronx, NY, USA.
William H RobinsonDepartment of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Ganesh RaghuDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Eric A HoffmanDepartment of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
John D NewellDepartment of Radiology, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Jubal R WattsDepartment of Radiology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA.
P Hrudaya NathDepartment of Radiology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA.
Sushilkumar K SonavaneDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Jon T GilesDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Christine Kim GarciaDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
R Graham BarrDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Elana J BernsteinDepartment of Medicine, Columbia University Medical Center, New York, NY, USA. ejb2153@cumc.columbia.edu.

Funding

Antibodies to Citrullinated Protein Antigens, CVD and Bone Disease in MESAK01HL122394 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HUGHES-AUSTIN, JAN MARIE · 2015 to 2019
$836k
NHLBI NIH HHS K01 HL122394NHLBI NIH HHS L30 HL133987
6 · The paper itself

Abstract

backgroundRheumatoid arthritis-associated autoantibodies have been associated with interstitial lung abnormalities (ILA) among community-dwelling adults. We aimed to determine whether greater numbers of positive anti-citrullinated protein antibodies (ACPAs) are associated with ILA in community-dwelling adults.

methodsWe performed a period cross-sectional study. We measured 29 ACPAs via Bio-Plex bead array (2003–2005) and ILA on full-lung CTs (2010–2012) in 868 participants enrolled in the Multi-Ethnic Study of Atherosclerosis. A positive ACPA was defined as titer > 75th percentile. We used generalized additive and logistic regression models to examine associations between number of positive ACPA and ILA and tested for effect modification by race/ethnicity.

resultsIn an adjusted model, each 1 unit increase in log-transformed number of positive ACPA was associated with a 17% decrease in odds of ILA (OR 0.83, 95% CI 0.68–1.01). Race/ethnicity modified the association between log-transformed number of positive ACPA and ILA (interaction p-value 0.03), such that each 1 unit increase in log-transformed number of positive ACPA was associated with a 39% decrease in the adjusted odds of ILA among African American participants (OR 0.61, 95% CI 0.37–0.99) and a 42% decrease in the adjusted odds of ILA among Hispanic participants (OR 0.58, 95% CI 0.36–0.91). There was no significant association between log-transformed number of positive ACPA and ILA among White or Chinese American participants.

conclusionsIn this large population-based multi-ethnic study, an expanded ACPA repertoire was associated with a lower burden of ILA on CT, especially among African American and Hispanic participants.

Indexed as

Anti-Citrullinated Protein AntibodiesAtherosclerosisAutoantibodiesIndependent LivingLung Diseases, InterstitialAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited StatesAnti-Citrullinated Protein AntibodiesAutoantibodiesBiomarkersAnti-citrullinated peptide antibodies (ACPA)Interstitial lung abnormalities (ILA)Interstitial lung disease (ILD)RaceSubclinical

Identifiers

PMID41821027
PMCPMC13097920

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.