Evidence map›Paper›PMID 36580020›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2023

Prediction of Erosive Disease Development by Antimitochondrial Antibodies in Rheumatoid Arthritis.

Richard E Moore, Ting Wang, Bhargavi Duvvuri, Marie L Feser, Kevin D Deane, Joshua J Solomon, J Lee Nelson, M Kristen Demoruelle, Christian Lood

Open access · hybridAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Richard E MooreDivision of Rheumatology, University of Washington, Seattle.
Ting WangDivision of Rheumatology, University of Washington, Seattle.ORCID 0000-0002-8974-596X
Bhargavi DuvvuriDivision of Rheumatology, University of Washington, Seattle.
Marie L FeserDivision of Rheumatology, University of Colorado-Denver.
Kevin D DeaneDivision of Rheumatology, University of Colorado-Denver.ORCID 0000-0003-2211-4861
Joshua J SolomonCenter for Interstitial Lung Disease, National Jewish Health, Denver, Colorado.
J Lee NelsonFred Hutchinson Cancer Research Center, Seattle, Washington.
M Kristen DemoruelleDivision of Rheumatology, University of Colorado-Denver.ORCID 0000-0002-2563-5155
Christian LoodDivision of Rheumatology, University of Washington, Seattle.ORCID 0000-0002-6171-1952
University of Washington · USUniversity of Denver · USFred Hutch Cancer Center · USNational Jewish Health · US

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Core 2 - Mucosal Immunobiology Core (MIC)P30AR079369 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI Vernon Michael Holers · 2021 to 2026
$4.7M
Role of mitochondria in SLE and its cardiovascular complicationsR01HL158606 · NHLBI · UNIVERSITY OF WASHINGTON · PI LOOD, JAN CHRISTIAN · 2021 to 2025
$2.8M
The Lung as an Originating Site of Autoimmunity in Rheumatoid ArthritisK23AR066712 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI DEMORUELLE, M. KRISTEN · 2014 to 2018
$776k
NCATS NIH HHS UL1 TR002319NHLBI NIH HHS R01 HL158606NIAMS NIH HHS K23 AR066712NIAMS NIH HHS P30 AR079369
6 · The paper itself

Abstract

objectiveMitochondria are found in the extracellular space in rheumatoid arthritis (RA). However, whether mitochondria are a source of autoantigens in RA has not been carefully addressed. Thus, we undertook this study to investigate the presence and significance of antimitochondrial antibodies (AMAs) in patients with RA.

methodsAMAs were measured in serum samples from 3 cross-sectional cohorts of RA patients (n = 95, n = 192, and n = 117) and healthy individuals (n = 38, n = 72, and n = 50) using a flow cytometry-based assay. Further, AMAs were detected using an anti-mitofusin-1 (anti-MFN-1) IgG enzyme-linked immunosorbent assay and Western blot analysis. A longitudinal inception cohort, followed up for a median of 8 years, was used to study disease progression.

resultsAMA levels were elevated in RA patients from all 3 cohorts as compared to healthy individuals (P < 0.001, P < 0.05, and P < 0.01), with a range of 14-26% positivity. Levels of anti-MFN-1 antibodies correlated with AMA levels (r = 0.31, P = 0.006) and were elevated in RA patients as compared to healthy individuals (P < 0.001). The presence of AMAs was associated with erosive disease (P < 0.05) and interstitial lung disease (P < 0.01). Further, AMA levels were found to predict erosive disease (odds ratio [OR] 4.59, P = 0.006) and joint space narrowing (OR 3.08, P = 0.02) independent of anti-citrullinated protein antibodies. Finally, anti-MFN-1 antibodies identified seronegative patients developing erosive disease (OR 9.33; P = 0.02).

conclusionOur findings demonstrate the presence of novel autoantibodies targeting mitochondria in the setting of RA. AMAs were used to stratify patients based on disease phenotype and to predict development of erosive disease, including in patients with seronegative disease. Our results highlight the essential role of mitochondria in the pathogenesis of RA and suggest a possible benefit of therapies targeting mitochondrial-mediated inflammation and clearance in these patients.

Indexed as

Arthritis, RheumatoidAnti-Citrullinated Protein AntibodiesAutoantibodiesCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayHumansPeptides, CyclicAnti-Citrullinated Protein AntibodiesAutoantibodiesPeptides, Cyclic

Identifiers

PMID36580020
PMCPMC10238559
OpenAlexW4313280104

What OpenQuestion holds

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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.