Evidence map›Paper›PMID 33452871›Full record

Trial reportArthritis & rheumatology (Hoboken, N.J.)2021

Distinct Gene Expression Signatures Characterize Strong Clinical Responders Versus Nonresponders to Canakinumab in Children With Systemic Juvenile Idiopathic Arthritis.

Emely L Verweyen, Alex Pickering, Alexei A Grom, Grant S Schulert

Open access · greenAbstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in Arthritis & rheumatology (Hoboken, N.J.), 2021. 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
2.2field-weighted citation impact, top 12% 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, 19 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Emely L VerweyenCincinnati Children's Hospital Medical Center, Cincinnati, Ohio.ORCID 0000-0001-5943-2148
Alex PickeringHarvard Medical School, Boston, Massachusetts.
Alexei A GromCincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio.
Grant S SchulertCincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio.ORCID 0000-0001-5923-7051
Cincinnati Children's Hospital Medical Center · USHarvard University · US

Funding

Monocyte and macrophage polarization in systemic juvenile idiopathic arthritis and macrophage activation syndrome.K08AR072075 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI SCHULERT, GRANT SANFORD · 2017 to 2021
$843k
NIAMS NIH HHS K08 AR072075
6 · The paper itself

Abstract

objectiveCanakinumab is a human anti-interleukin-1β (anti-IL-1β) blocking agent that effectively neutralizes IL-1β-mediated signaling for treatment of systemic juvenile idiopathic arthritis (JIA). While many patients have dramatic clinical response to IL-1 blockade, approximately one-third fail to respond, but there are currently no validated clinical or immunologic predictors of response. We undertook this study to characterize distinct gene signatures for treatment response and nonresponse to canakinumab in systemic JIA patients.

methodsWe performed a secondary analysis of whole-blood gene expression microarrays using blood samples obtained from healthy controls and systemic JIA patients at baseline and on day 3 after canakinumab treatment (GEO accession no. GSE80060). Patients were considered strong clinical responders if they met the ACR90 response (exhibited ≥90% improvement in the American College of Rheumatology [ACR] JIA response criteria; nonresponders were those who met ACR30 [exhibiting ≤30% improvement in the ACR JIA response criteria]). A random-effects model with patient identity as the random variable was used for differential expression analysis.

resultsWe identified a distinct gene expression signature in patients with a strong clinical response to canakinumab treatment as compared to nonresponders, mediated by up-regulation of neutrophil- and IL-1-associated genes and characterized by increasing divergence from control transcriptomes with increasing clinical response. We also identified a signature including up-regulated CD163 expression that was associated with canakinumab nonresponse. Intriguingly, canakinumab treatment induced either up- or down-regulation of type I interferon (IFN) genes, independent of clinical response.

conclusionHere, we identify a gene signature in systemic JIA patients prior to receiving treatment that distinguishes strong responders to canakinumab from nonresponders. Further prospective studies are needed to assess the utility of these insights for treatment decisions in systemic JIA and to track the association of up-regulated type I IFN signatures with systemic JIA complications.

Indexed as

Antibodies, Monoclonal, HumanizedAntigens, CDAntigens, Differentiation, MyelomonocyticArthritis, JuvenileCalcium-Binding ProteinsCARD Signaling Adaptor ProteinsCaspasesCD163 AntigenChemokine CXCL1ChildDNA-Binding ProteinsGene OntologyGlycoproteinsGPI-Linked ProteinsHumansInterleukin-1betaAIM2 protein, humanAntibodies, Monoclonal, HumanizedAntigens, CDAntigens, Differentiation, MyelomonocyticCalcium-Binding ProteinscanakinumabCARD Signaling Adaptor ProteinsCASP5 protein, humanCaspasesCD163 AntigenCD177 protein, humanChemokine CXCL1DNA-Binding ProteinsGlycoproteinsGPI-Linked ProteinsIL1B protein, humanIL1R1 protein, humanIL1RAP protein, humanIL1RN protein, humanInterleukin-1betaInterleukin-1 Receptor Accessory ProteinInterleukin 1 Receptor Antagonist ProteinIsoantigensLRG1 protein, humanNLRC4 protein, humanReceptors, Cell SurfaceReceptors, Interleukin-1 Type ITNF protein, humanToll-Like ReceptorsTumor Necrosis Factor-alpha

Identifiers

PMID33452871
PMCPMC8238800
OpenAlexW3123988746

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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 OpenQuestion graph.