Evidence map›Paper›PMID 39449329›Full record

ArticleAntibodies (Basel, Switzerland)2024

Limited Biomarker Potential for IgG Autoantibodies Reactive to Linear Epitopes in Systemic Lupus Erythematosus or Spondyloarthropathy.

S Janna Bashar, Zihao Zheng, Aisha M Mergaert, Ryan R Adyniec, Srishti Gupta, Maya F Amjadi, Sara S McCoy, Michael A Newton, Miriam A Shelef

Abstract read
In one paragraph

Article in Antibodies (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

S Janna BasharDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0003-0779-1530
Zihao ZhengDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Aisha M MergaertDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Ryan R AdyniecDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Srishti GuptaDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Maya F AmjadiDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Sara S McCoyDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Michael A NewtonDepartment of Statistics, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-9038-878X
Miriam A ShelefDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0002-8842-0303

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Biology of Aging and Age-Related Diseases Training GrantT32AG000213 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Rozalyn M. Anderson, Sanjay Asthana · 1991 to 2026
$9.9M
Institutional Career Development CoreKL2TR002374 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Bo Liu, Marin Leigh Schweizer · 2017 to 2026
$9.7M
RESEARCH TRAINING IN HEMATOLOGYT32HL007899 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Jane Ellen Churpek · 1998 to 2026
$8.2M
Integrated Training For Physician-ScientistsT32GM140935 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Anna Huttenlocher, Jeniel E Nett · 2021 to 2026
$6.5M
Congressionally Directed Medical Research Programs W81XWH-18-1-0717NCATS NIH HHS KL2 TR002374NCATS NIH HHS KL2TR002374NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NCATS NIH HHS UL1TR002373NHLBI NIH HHS T32 HL007899NIA NIH HHS T32 AG000213NIGMS NIH HHS T32 GM140935NIH HHS T32 GM140935
6 · The paper itself

Abstract

backgroundAutoantibodies are commonly used as biomarkers in autoimmune diseases, but there are limitations. For example, autoantibody biomarkers have poor sensitivity or specificity in systemic lupus erythematosus and do not exist in the spondyloarthropathies, impairing diagnosis and treatment. While autoantibodies suitable for strong biomarkers may not exist in these conditions, another possibility is that technology has limited their discovery. The purpose of this study was to use a novel high-density peptide array that enables the evaluation of IgG binding to every possible linear antigen in the entire human peptidome, as well as a novel machine learning approach that incorporates ELISA validation predictability in order to discover autoantibodies that could be developed into sensitive and specific markers of lupus or spondyloarthropathy.

methodsWe used a peptide array containing the human peptidome, several viral peptidomes, and key post-translational modifications (6 million peptides) to quantify IgG binding in lupus, spondyloarthropathy, rheumatoid arthritis, Sjögren's disease, and control sera. Using ELISA data for 70 peptides, we performed a random forest analysis that evaluated multiple array features to predict which peptides might be good biomarkers, as confirmed by ELISA. We validated the peptide prediction methodology in rheumatoid arthritis and COVID-19, conditions for which the antibody repertoire is well-understood, and then evaluated IgG binding by ELISA to peptides that we predicted would be highly bound specifically in lupus or spondyloarthropathy.

resultsOur methodology performed well in validation studies, but peptides predicted to be highly and specifically bound in lupus or spondyloarthropathy could not be confirmed by ELISA.

conclusionsIn a comprehensive evaluation of the entire human peptidome, highly sensitive and specific IgG autoantibodies were not identified in lupus or spondyloarthropathy. Thus, the pathogenesis of lupus and spondyloarthropathy may not depend upon unique autoantigens, and other types of molecules should be sought as optimal biomarkers in these conditions.

Indexed as

antibodyautoantibodybiomarkerpeptide arrayspondyloarthropathysystemic lupus erythematosus

Identifiers

PMID39449329
PMCPMC11503330

What OpenQuestion holds

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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.