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Record W4411429111 · doi:10.1016/j.ard.2025.05.587

POS0200 TYPE I INTERFERON ACTIVITY IN PERSISTENTLY ANTIPHOSPHOLIPID ANTIBODY-POSITIVE PATIENTS WITH OR WITHOUT LUPUS: RESULTS FROM ANTIPHOSPHOLIPID SYNDROME ALLIANCE FOR CLINICAL TRIALS AND INTERNATIONAL NETWORKING (APS ACTION) CLINICAL DATABASE AND REPOSITORY (“REGISTRY”)

2025· article· en· W4411429111 on OpenAlexaff
Romy Kallas, Andrra Nimoni, N.M. Piatchou Donfack, D. Jannat-Khah, Megan R.W. Barber, Nina Kello, H. Michael Belmont, Paul R. Fortin, D. Ware Branch, Alí Duarte‐García, Michelle Petri, Jason S. Knight, Rohan Willis, María Laura Bertolaccini, Hannah Cohen, Théo Niewold, Doruk Erkan

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsCentre hospitalier universitaire de QuébecUniversity of Calgary
Fundersnot available
KeywordsMedicineAntiphospholipid syndromeClinical trialSystemic lupus erythematosusImmunologyAntibodyAllianceInternal medicineDisease

Abstract

fetched live from OpenAlex

Background: Antiphospholipid Syndrome (APS) can occur as a primary condition or in association with Systemic Lupus Erythematosus (SLE). Proinflammatory pathways are involved in antiphospholipid antibody (aPL)-related events, which explains why antithrombotic treatment alone might not be sufficient for the management of selected aPL-positive patients. Type I Interferon (IFN-I) is implicated in the initiation, progression, and treatment response of many systemic autoimmune disorders including SLE. There is growing evidence that the interferon pathway also plays a role in the pathogenesis of APS. Gene expression profiling studies have suggested a potential role of IFN-I in differentiating the subsets of APS patients with autoimmune manifestations [1, 2]. Objectives: Our primary objective was to compare the IFN-I activity between three groups of persistently aPL-positive patients with: a) no concomitant systemic autoimmune rheumatic diseases (SARDs); b) SLE classification; and c) SLE-like disease without SLE classification. Methods: APS ACTION is an international multicenter registry of patients with persistently positive aPL, with or without additional SARDs. Baseline demographic information, aPL-related clinical events, medications, and aPL test results as well as blood samples are collected at registry entry and updated every 12 months. We compared IFN-I activity, in the first available serum or plasma sample, between three groups of persistently aPL-positive patients (with/without APS classification) with: a) no SARDs; b) SLE based on four or more 1997 ACR SLE classification criteria; and c) SLE- like disease defined as 3/11 1997 ACR SLE criteria including aPL. A sensitive and reproducible reporter cell (WISH cells) assay was used to measure the ability of sera to cause IFN-induced gene transcription to generate an IFN-I score. Three IFN-I inducible genes were selected (MX-1, IFIT-1, EIF2AK2). A cut off point of 2 standard deviations (SD) above the mean of 105 healthy controls was used to categorize IFN-I score into high vs. low. The clinical, laboratory characteristics and the IFN-I activity score of the three groups (with no SARDs, with SLE, with SLE-like disease) were compared using Kruskal-Wallis H, Chi-squared and Fisher Exact tests, followed by post hoc tests with Holm–Bonferroni correction. All statistical analyses were performed in R and RStudio (version 2024.04.1). The significance level was set at 0.05. Results: Of 1,206 patients who were part of the registry as of 2/2/24, 425 from North American Centers were identified. We excluded 36 participants: 18 with SARDs other than SLE, 12 recent recruitments with no available samples, and 6 with an indeterminate IFN-I activity score. We included 389 patients in the final analysis: 163 (42%) with no SARDs, 181 (46%) with SLE, and 45 (12%) with SLE-like disease as described above. The baseline demographic, clinical and aPL characteristics are shown in Table 1; the mean age at registry entry was 45 with female (74%) and white (78%) predominance. There were significantly more triple aPL-positive patients in the SLE-like disease group (62%) compared to patients with SLE (33%) (p-value=0.002). There were significantly more LA only patients in the SLE group (28%) compared to patients in the no SARDs group (17%) (p-value=0.037) or patients in the with SLE-like disease group (7%) (p-value=0.016). Around 30% of patients in each group had a high IFN-I activity score (defined as IFN-I activity score of ≥2); the distribution of patients with high IFN-I activity was similar between the three groups (p-value=0.801) (Table 2). Conclusion: To our knowledge, this is the largest study to date looking at the association between IFN-I and aPL using a functional assay reflective of the extent to which the IFN-I pathway is activated. We found that one-third of persistently aPL-positive patients had high IFN-I activity score, irrespective of SLE classification or "SLE-like disease". The percentage of high IFN-I activity score among aPL-positive patients without SLE is striking considering conflicting literature on the association of aPL and IFN-I activation. Multivariable analyses are underway to examine the association of IFN-I and APS clinical phenotype as well as the detailed aPL profile in this well-characterized group of patients. REFERENCES: [1] Palli et al. Type I Interferon Signature in Primary Antiphospholipid Syndrome: Clinical and Laboratory Associations. Front Immunol. 2019;10:487. [2] Verrou et al. Whole blood transcriptome identifies interferon-regulated genes as key drivers in thrombotic primary antiphospholipid syndrome. J Autoimmun. 2023;134:102978. Acknowledgements: NIL . Disclosure of Interests: None declared . © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.208
GPT teacher head0.483
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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