Evidence map›Paper›PMID 39218617›Full record

ArticleACR open rheumatology2024

SOX-5 Transcription Factor: a Novel Psoriatic Autoantigen Preferentially Found in Women.

Ana-Maria Orbai, David Fiorentino, Jamie Perin, Erika Darrah, Qingyuan Yang, Laura Gutierrez-Alamillo, Clifton O Bingham, Michelle Petri, Antony Rosen, Livia Casciola-Rosen

Abstract read
In one paragraph

Article in ACR open rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Ana-Maria OrbaiJohns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0001-8644-8567
David FiorentinoStanford University School of Medicine, Stanford, California.
Jamie PerinJohns Hopkins University School of Public Health, Baltimore, Maryland.
Erika DarrahJohns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0003-1119-0279
Qingyuan YangJohns Hopkins University School of Medicine, Baltimore, Maryland.
Laura Gutierrez-AlamilloJohns Hopkins University School of Medicine, Baltimore, Maryland.
Clifton O BinghamJohns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-4752-5029
Michelle PetriJohns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0003-1441-5373
Antony RosenJohns Hopkins University School of Medicine, Baltimore, Maryland.
Livia Casciola-RosenJohns Hopkins University School of Medicine, Baltimore, Maryland.ORCID https://orcid.org/0000-0002-4172-1539

Funding

Sample Processing and Immunoassay Research CoreP30AR070254 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI CLIFTON O BINGHAM, Antony Rosen · 2016 to 2026
$8.9M
Clinical applications of urine proteomics to lupus nephritisR01DK134625 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Andrea Fava · 2023 to 2026
$2.8M
Camille J. Morgan Arthritis Research and Education FundDonald B. and Dorothy L. Stabler Foundation N/AJerome L. Greene Foundation N/ANIAMS NIH HHS P30 AR070254NIAMS NIH HHS P30-AR070254NIAMS NIH HHS R01-DK134625NIDDK NIH HHS R01 DK134625Psoriatic Arthritis Research FundStauralakis Discovery Fund N/A
6 · The paper itself

Abstract

objectiveAdaptive immunity mediates psoriatic disease pathogenesis. We aimed to identify novel psoriatic autoantigens and their phenotypic associations in deeply characterized patient cohorts.

methodsSera from psoriatic arthritis (PsA) patients were used for autoantibody discovery. Immunoprecipitations performed with cell lysates were on-bead digested, and autoantigens were identified by mass spectrometry. Prevalence and clinical features associated with anti-SRY-Box transcription factor-D (SOX-D) antibodies were determined by screening discovery cohorts of patients with PsA (n = 135), patients with psoriasis without PsA (n = 24), and healthy controls (n = 41). A PsA validation cohort (n = 325) and disease control samples of individuals with rheumatoid arthritis (RA; n = 66) and systemic lupus erythematosus (SLE, n = 66) were assayed for anti-SOX5 antibodies. Disease characteristics were compared by antibody status. Longitudinal data were analyzed using linear mixed-effects models with patient-specific intercept to ascertain associations. We also tested PsA sera for the recently described anti-ADAMTS-L5 autoantibody in PsA.

resultsThe novel autoantigens identified were SOX-D transcription factors, with SOX-5 being the focus of this analysis. Anti-SOX5 antibodies were present in 8.9% (12 of 135) and 4.3% (14 of 323) of patients in the PsA discovery and validation cohorts, respectively, 12.5% of patients (3 of 24) in the psoriasis group, 2.4% (1 of 41) of healthy controls, and 7.6% (5 of 66) each of patients in the RA and SLE groups. Anti-SOX5 were associated with female sex in both PsA cohorts (discovery: 15.7% women, 2.6% men, P = 0.006; validation: 6.3% women, 1.4% men, P = 0.049). In a longitudinal analysis adjusted for sex, anti-SOX5 associated with biologic disease-modifying antirheumatic drug treatment (95% vs 61%; P = 0.001; n = 96) and with differences in estimated treatment effects by mechanism of action. Anti-ADAMTS-L5 autoantibodies were identified in 8 of 124 patients (6.5%) in the PsA group.

conclusionSOX-D transcription factors are novel psoriatic autoantigens. Anti-SOX5 antibodies were preferentially found in women with PsA and associated with specific clinical and treatment characteristics, suggesting that anti-SOX5 antibodies may identify mechanistic subgroups. We independently validated anti-ADAMTS-L5 autoantibodies in PsA.

Identifiers

PMID39218617
PMCPMC11638130

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.