Evidence map›Paper›PMID 40033001›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2025

Peripheral Biomarker Signatures in Rheumatoid Arthritis-Associated Interstitial Lung Disease.

Austin M Wheeler, Joshua F Baker, Thomas R Riley, Tate M Johnson, Yangyuna Yang, Punyasha Roul, Katherine D Wysham, Grant W Cannon, Gary Kunkel, Gail Kerr and 9 more

Abstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
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

19 authors.

Austin M WheelerVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-8816-7782
Joshua F BakerUniversity of Pennsylvania and Corporal Michael J. Crescenz VA Medical Center, Philadelphia.
Thomas R RileyUniversity of Pennsylvania and Corporal Michael J. Crescenz VA Medical Center, Philadelphia.ORCID 0009-0003-0194-7562
Tate M JohnsonVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0003-0335-4157
Yangyuna YangUniversity of Nebraska Medical Center, Omaha.
Punyasha RoulUniversity of Nebraska Medical Center, Omaha.
Katherine D WyshamVA Puget Sound Health Care System and University of Washington, Seattle.ORCID 0000-0001-8707-7649
Grant W CannonVA Salt Lake City Healthcare System and University of Utah.ORCID 0000-0001-6640-9173
Gary KunkelVA Salt Lake City Healthcare System and University of Utah.
Gail KerrWashington VA Medical Center, Howard University, and Georgetown University, Washington, District of Columbia.ORCID 0000-0002-4930-3235
Dana P AschermanPittsburgh VA Medical Center-University Drive and University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-1387-0860
Paul MonachJamaica Plain VA Medical Center, Boston, Massachusetts.ORCID 0000-0003-4937-0515
Andreas ReimoldDallas VA Medical Center and University of Texas Southwestern, Dallas.
Scott MatsonUniversity of Kansas, Kansas City.
Jill A PooleUniversity of Nebraska Medical Center, Omaha.ORCID 0000-0002-6236-2563
Michael J DuryeeVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.
Geoffrey M ThieleVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.
Ted R MikulsVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-0897-2272
Bryant R EnglandVA Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha.ORCID 0000-0002-9649-3588

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI HOLSTEIN, SARAH A · 2016 to 2025
$42.8M
Clinical Pharmacoepidemiology Training ProgramT32GM075766 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Sean Hennessy, Charles Edward Leonard · 2006 to 2026
$8.4M
BLRD VA I01 BX003635CSRD VA I01 CX001703CSRD VA IK2 CX002203CSRD VA IK2 CX002351NIGMS NIH HHS T32 GM075766NIGMS NIH HHS U54 GM115458NIH HHS 1U54GM115458NIH HHS 5T32GM075766-17NIOSH CDC HHS R01 OH012045NIOSH CDC HHS R01OH012045Rheumatology Research FoundationRRD VA I01 RX003644U.S. Department of Defense PR200793U.S. Department of Veterans Affairs CX001703U.S. Department of Veterans Affairs RX003644
6 · The paper itself

Abstract

objectiveRheumatoid 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.

methodsWe 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.

resultsAmong 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).

conclusionPeripheral 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.

Indexed as

Arthritis, RheumatoidLung Diseases, InterstitialAdipokinesAgedAutoantibodiesBiomarkersCross-Sectional StudiesCytokinesFemaleHumansMaleMatrix MetalloproteinasesMiddle AgedMucin-5BAdipokinesAutoantibodiesBiomarkersCytokinesMatrix MetalloproteinasesMUC5B protein, humanMucin-5B

Identifiers

PMID40033001
PMCPMC12311258

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.