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Record W4411884042 · doi:10.3899/jrheum.2025-0314.108

Type I Interferon Status and Clinical Manifestations in a Large Cohort of Patients with Systemic Lupus Erythematosus

2025· article· en· W4411884042 on OpenAlexaffvenue
Justin Smith, Laura Whittall Garcia, Dennisse Bonilla, Qixuan Li, Joan Wither, Dafna Gladman, Zahi Touma

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsToronto Western HospitalUniversity Health NetworkUniversity of Alberta
Fundersnot available
KeywordsMedicineInternal medicineAutoantibodyInterferonCohortImmunologyPathogenesisGlucocorticoidSystemic lupus erythematosusAntibodyDiseaseGastroenterology

Abstract

fetched live from OpenAlex

Objectives Type I interferons (IFN) are pivotal in the pathogenesis of SLE, with high IFN gene signature (IGS) status associated with certain organ manifestations, autoantibody profiles, and disease severity. With novel medications targeting the interferon pathway, an enhanced understanding of the IGS in patients with SLE is necessary. Recent studies have shown IFN levels remain stable overtime despite changes in disease activity and treatment. In this study, we investigated the IGS in relation to clinical characteristics in patients with SLE. Methods Patients who met 2019 EULAR/ACR classification criteria for SLE, from a single center, were included. The whole blood collected was analyzed for IGS by the DxTerity assay, categorizing patients into IFN high or IFN low status. SLEDAI-2K organ domains were cumulatively characterized from 5 years prior to whole blood collection to last available visit. Clinical characteristics, including SLICC/ACR damage index (SDI), cumulative antibody status, glucocorticoid and immunosuppressive use, were analyzed according to IFN status. Results Five-hundred-six patients with median age of 49.53 years (IQR 37.27-60.54) were included, with 291 (57.5%) IFN high and 215 (42.5%) IFN low (Table 1). The median duration of SLE disease was longer in the IFN low group (22.7 years [IQR 11.58-21.05]) than in the IFN high group (14.06 [QR 7.90-24.71]) (p<0.001). There was no difference in the proportion any of the individual SLEDAI-2K organ domains between the IFN high and low groups, though there was a numerical difference in the hematologic domain (IFN high 82.8% versus 73.0% [p=0.011]). The median SLEDAI-2K score was higher in the IFN high group (2.00 [IQR 0.00-4.00]) than in the IFN low group (0.00 [IQR 0.00-4.00]) (<0.001). More patients in the IFN high group had positive Smith (56.7% vs 32.6% [p<0.001]), RNP (66.7% vs 49.3% [p<0.001]), Ro (67.4% vs 47.0% [p<0.001]), La (30.9% vs 17.2% [p=0.001]), chromatin (75.6% vs 41.9% [p<0.001]), dsDNA (61.2% vs 38.1% [p<0.001]) and ribosomal P (27.1% vs 7.9% [p<0.001]) autoantibodies, with no differences in levels of C3 and C4 or in the presence of antiphospholipid antibodies. More patients with IFN high status were on glucocorticoids (112; 38.5%) than were patients with IFN low status (58, 27%) (p=0.009). More IFN high patients were on immunosuppressants (185; 63.6%) vs the IFN low group (98; 45.6%) (p<0.001). Table 1. Clinical characteristics of SLE patients based on IFN levels Conclusion In this large cohort of patients with SLE, IGS status may help to predict disease severity, use of glucocorticoids, and overall use of immunomodulatory therapy, though IFN level did not predict presence of SLEDAI-2K organ domains.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.322
Teacher spread0.307 · 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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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