Evidence map›Paper›PMID 19389237›Full record

ArticleArthritis research & therapy2009

Gene expression profiling in the synovium identifies a predictive signature of absence of response to adalimumab therapy in rheumatoid arthritis.

Valérie Badot, Christine Galant, Adrien Nzeusseu Toukap, Ivan Theate, Anne-Lise Maudoux, Benoît J Van den Eynde, Patrick Durez, Frédéric A Houssiau, Bernard R Lauwerys

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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.

NCT04261010 nacompletednot on this mapstarted 2020, after this paper: background citation

TNF and IL23 Blocking Agents Gene Expression Ratios in the Psoriatic Arthritis Synovium

TypeinterventionalSponsorCliniques universitaires Saint-Luc- Université Catholique de LouvainRan2020 to 2023Enrolled36ConditionsPsoriatic ArthritisArmsGlobal/single cell gene expression profiles obtained from Synovial biopsies
NCT04645420 nacompletednot on this mapstarted 2020, after this paper: background citation

Molecular Effects of Apremilast in the Synovium of Psoriatic Arthritis Patients (MEAS Study)

TypeinterventionalSponsorCliniques universitaires Saint-Luc- Université Catholique de LouvainRan2020 to 2023Enrolled19ConditionsPsoriatic ArthritisArmsGlobal gene expression profiles obtained from synovial biopsies.
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 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

9 authors at 2 institutions in 1 country.

Valérie BadotRheumatology Department, Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium. Valerie.Badot@chu-brugmann.be
Christine Galant
Adrien Nzeusseu Toukap
Ivan Theate
Anne-Lise Maudoux
Benoît J Van den Eynde
Patrick Durez
Frédéric A Houssiau
Bernard R Lauwerys
Cliniques Universitaires Saint-Luc · BELudwig Cancer Research · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo identify markers and mechanisms of resistance to adalimumab therapy, we studied global gene expression profiles in synovial tissue specimens obtained from severe rheumatoid arthritis (RA) patients before and after initiation of treatment.

methodsPaired synovial biopsies were obtained from the affected knee of 25 DMARD (disease-modifying antirheumatic drug)-resistant RA patients at baseline (T0) and 12 weeks (T12) after initiation of adalimumab therapy. DAS28-CRP (disease activity score using 28 joint counts-C-reactive protein) scores were computed at the same time points, and patients were categorized as good, moderate, or poor responders according to European League Against Rheumatism criteria. Global gene expression profiles were performed in a subset of patients by means of GeneChip Human Genome U133 Plus 2.0 Arrays, and confirmatory immunohistochemistry experiments were performed on the entire cohort.

resultsGene expression studies performed at baseline identified 439 genes associated with poor response to therapy. The majority (n = 411) of these genes were upregulated in poor responders and clustered into two specific pathways: cell division and regulation of immune responses (in particular, cytokines, chemokines, and their receptors). Immunohistochemistry experiments confirmed that high baseline synovial expression of interleukin-7 receptor alpha chain (IL-7R), chemokine (C-X-C motif) ligand 11 (CXCL11), IL-18, IL-18 receptor accessory (IL-18rap), and MKI67 is associated with poor response to adalimumab therapy. In vitro experiments indicated that genes overexpressed in poor responders could be induced in fibroblast-like synoviocytes (FLS) cultures by the addition of tumor necrosis factor-alpha (TNF-alpha) alone, IL-1beta alone, the combination of TNF-alpha and IL-17, and the combination of TNF-alpha and IL-1beta.

conclusionsGene expression studies of the RA synovium may be useful in the identification of early markers of response to TNF blockade. Genes significantly overexpressed at baseline in poor responders are induced by several cytokines in FLSs, thereby suggesting a role for these cytokines in the resistance to TNF blockade in RA.

Indexed as

AdalimumabAdolescentAdultAgedAged, 80 and overAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntirheumatic AgentsArthritis, RheumatoidDrug ResistanceFemaleGene Expression ProfilingHumansImmunohistochemistryMaleMiddle AgedAdalimumabAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntirheumatic Agents

Identifiers

PMID19389237
PMCPMC2688209
OpenAlexW1984146900

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.