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Record W2158635228 · doi:10.1186/ar1406

Interferon-induced gene expression in systemic lupus erythematosus reflects previous exposure to interferon alpha and is associated with increased disease activity and autoreactivity against RNA-binding proteins

2004· article· en· W2158635228 on OpenAlexfundno aff
Kyriakos A. Kirou, C-Y. Lee, SS George, MK Crow

Bibliographic record

VenueArthritis Research · 2004
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
FundersCanadian Arthritis NetworkNational Cancer InstituteGenentechNational Institutes of HealthNatural Sciences and Engineering Research Council of CanadaDutch Arthritis AssociationOesterreichische NationalbankDeutsche ForschungsgemeinschaftNuffield FoundationArthritis SocietyPhysiotherapy Foundation of CanadaCanadian Institutes of Health ResearchLupus Research AllianceWellcome TrustNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of Allergy and Infectious DiseasesHoward Hughes Medical InstituteLupus Research InstituteBiogenAustrian Science FundArthritis Foundation
KeywordsChemistry

Abstract

fetched live from OpenAlex

Both interferon (IFN) alpha and IFN-γ have been implicated in the pathogenesis of systemic lupus erythematosus (SLE). Recently, microarray screens have demonstrated increased IFN-inducible gene (IFIG) expression in peripheral blood mononuclear cells of patients with active SLE. We investigated the relative roles of IFN-α and IFN-γ in gene expression and disease in SLE patients. Quantitative real-time PCR was employed to identify IFIGs that are regulated by either IFN-α or IFN-γ. Peripheral blood mononuclear cells from 77 SLE patients were compared with those of 22 disease controls and 28 healthy donors (HD) for expression of three genes preferentially induced by IFN-α (PRKR, IFIT1, IFI44) and three genes preferentially induced by IFN-γ (IRF1, SERPING1, and GBP1) inducible genes. IFN-α and IFN-γ scores were then calculated for all individuals, based on the number of IFIGs overexpressed and the level of increased expression above the mean value for that gene in the HD group. IFNs in plasma were measured by ELISA and assayed for IFIG-inducing activity. Disease activity was assessed using the SLE disease activity index-2000 (SLEDAI-2K) and severity with the number of American College of Rheumatology (ACR) criteria fulfilled and the Systemic Lupus International Cooperating Clinics (SLICC) damage index. Sera were tested for autoantibodies to dsDNA, Sm, ribonucleoprotein, Ro, La, and antiphospholipid antibody (APLA). Two IFN-α-inducible genes (PRKR and IFI44), but no IFN-γ inducible gene, showed higher expression in SLE than in disease controls ( P = 0.005 and P = 0.01, respectively) or healthy donors ( P = 0.01 and P = 0.03). Moreover, IFN-α scores were higher in SLE patients than in both control groups ( P < 0.01), with 50% of SLE patients demonstrating a high IFN-α score (defined as ≥ 2). Plasma from all SLE patients contained high levels of IFN-α and some contained IFN-α-gene inducing capacity that was inhibited by anti-IFN-α antibody. Expression of IFN-α-regulated genes correlated with erythrocyte sedimentation rate ( r = 0.33, P = 0.003), serum C3 ( r = -0.3, P = 0.008), C-reactive protein ( r = -0.3, P = 0.03), SLEDAI-2K ( r = 0.22, P = 0.05), and SLICC damage index ( r = 0.33, P = 0.003). It was also associated with a greater number of ACR criteria, Caucasian race, and renal disease. Interestingly, SLE patients had increased prevalence of autoantibodies to Ro ( P = 0.0008) and to any RNA binding protein (one or more of Sm, ribonucleoprotein, Ro, La; P = 0.0002). In contrast, the prevalence of anti-dsDNA or APLA was not associated with IFN gene expression. These data demonstrate that activation of the IFN-α pathway is a characteristic of SLE and that IFN-α is the predominant stimulus for IFIG expression in those patients. IFN-α-inducible genes are candidate biomarkers identifying patients with increased disease activity and define a subgroup of SLE patients with serum autoreactivity against RNA-binding proteins.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.040
GPT teacher head0.326
Teacher spread0.286 · 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

Citations1
Published2004
Admission routes1
Has abstractyes

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