Evidence map›Paper›PMID 36409591›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2023

Gene Expression and Autoantibody Analysis Revealing Distinct Ancestry-Specific Profiles Associated With Response to Rituximab in Refractory Systemic Lupus Erythematosus.

Lucy M Carter, Adewonuola Alase, Zoe Wigston, Antonios Psarras, Agata Burska, Emily Sutton, Md Yuzaiful Md Yusof, John A Reynolds, MASTERPLANS Consortium, Neil McHugh and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Role of IFN-α in Rheumatoid Arthritis.Current rheumatology reports · 2024
    Review
  8. Article
  9. Application of Machine Learning Models in Systemic Lupus Erythematosus.International journal of molecular sciences · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Lucy M CarterLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID 0000-0002-8724-5937
Adewonuola AlaseLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Zoe WigstonLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Antonios PsarrasLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Agata BurskaLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Emily SuttonCentre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK.
Md Yuzaiful Md YusofLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID 0000-0003-3131-9121
John A ReynoldsInstitute of Inflammation and Ageing, University of Birmingham, and Sandwell and West Birmingham NHS Trust, Birmingham, UK.
MASTERPLANS Consortium
Neil McHughDepartment of Pharmacy and Pharmacology, University of Bath, Claverton, Bath, UK.
Paul EmeryLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID 0000-0002-7429-8482
Miriam WittmannDepartment of Dermatology, University Medical Centre, Johannes Gutenberg-University, Mainz, Germany.
Ian N BruceCentre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, UK.
Edward M VitalLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID 0000-0003-1637-4755
University of Leeds · GBUniversity of Manchester · GBJohannes Gutenberg University Mainz · DESandwell & West Birmingham Hospitals NHS Trust · GBUniversity of Bath · GB

Funding

Department of Health CS-2013-13-032Department of Health DRF-2014-07-155Medical Research Council MR/M01665X/1Wellcome TrustWellcome Trust 204825/Z/16/Z
6 · The paper itself

Abstract

objectiveGene expression profiles are associated with the clinical heterogeneity of systemic lupus erythematosus (SLE) but are not well studied as biomarkers for therapy. We studied gene expression and response to rituximab in a multiethnic UK cohort who were refractory to standard therapy.

methodsWe evaluated baseline expression levels of transcripts known to associate with clinical features of SLE using a 96-probe TaqMan array and whole blood samples from 213 patients with active SLE who had been prospectively enrolled in the British Isles Lupus Assessment Group (BILAG) Biologics Register. We measured autoantibodies using immunoprecipitation and enzyme-linked immunosorbent assays. We determined responses to first-cycle rituximab at 6 months from treatment start in 110 SLE patients by assessing BILAG 2004 disease activity.

resultsInterferon gene expression scores were lower in patients of European ancestry than in all other ancestry groups. The relationship between blood interferon gene expression scores and scores annotated to plasmablasts, neutrophils, myeloid lineage, inflammation, and erythropoiesis differed between patients of European and non-European ancestries. Hierarchical clustering revealed 3 distinct non-European ancestry patient subsets with stratified responses to rituximab that were not explained by sociodemographic and clinical variables, with responses lowest in an interferon-low, neutrophil-high cluster and highest in a cluster with high expression levels across all signatures (P < 0.001). Clusters in European ancestry patients did not predict response to rituximab but segregated patients by global disease activity and renal involvement. In both ancestral groups, interferon-high clusters were associated with U1 RNP/Sm antibodies.

conclusionAncestry appears central to the immunologic and clinical heterogeneity in SLE. These results suggest that ancestry, disease activity, and transcriptional signatures could each assist in predicting the effectiveness of B cell depletion therapies.

Indexed as

AutoantibodiesLupus Erythematosus, SystemicAntibodies, AntinuclearB-LymphocytesGene ExpressionHumansInterferonsRituximabTreatment OutcomeAntibodies, AntinuclearAutoantibodiesInterferonsRituximab

Identifiers

PMID36409591
PMCPMC10953047
OpenAlexW4309513174

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.