Evidence map›Paper›PMID 28545499›Full record

ArticleArthritis research & therapy2017

Pre-silencing of genes involved in the electron transport chain (ETC) pathway is associated with responsiveness to abatacept in rheumatoid arthritis.

C Derambure, G Dzangue-Tchoupou, C Berard, N Vergne, M Hiron, M A D'Agostino, P Musette, O Vittecoq, T Lequerré

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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.

C DerambureNormandie Univ, UNIROUEN, Inserm U 1245, F 76000, Rouen, France.
G Dzangue-TchoupouNormandie Univ, UNIROUEN, Inserm U 905, F 76000, Rouen, France.
C BerardLITIS EA 4108, Computer science, information processing and systems laboratory, Normandy University, Institute for Research and Innovation in Biomedicine, 76451, Mont-Saint-Aignan, France.
N VergneLMRS UMR 6085 CNRS, Raphaël Salem laboratory, Normandy University, 76575, Saint Étienne du Rouvray, France.
M HironNormandie Univ, UNIROUEN, Inserm U 905, F 76000, Rouen, France.
M A D'AgostinoDepartement of Rheumatology, AP-HP Ambroise Paré Hospital, University of Versailles Saint Quentin en Yvelines, 92100, Boulogne-Billancourt, France.
P MusetteNormandie Univ, UNIROUEN, Inserm U 1234, Rouen University Hospital, Department of Dermatology, F 76000, Rouen, France.
O VittecoqNormandie Univ, UNIROUEN, Inserm U 1234, Inserm CIC-CRB 1404, Rouen University Hospital, Department of Dermatology, F 76000, Rouen, France.
T LequerréNormandie Univ, UNIROUEN, Inserm U 1234, Inserm CIC-CRB 1404, Rouen University Hospital, Department of Dermatology, F 76000, Rouen, France. thierry.lequerre@chu-rouen.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the current context of personalized medicine, one of the major challenges in the management of rheumatoid arthritis (RA) is to identify biomarkers that predict drug responsiveness. From the European APPRAISE trial, our main objective was to identify a gene expression profile associated with responsiveness to abatacept (ABA) + methotrexate (MTX) and to understand the involvement of this signature in the pathophysiology of RA.

methodsWhole human genome microarrays (4 × 44 K) were performed from a first subset of 36 patients with RA. Data validation by quantitative reverse-transcription (qRT)-PCR was performed from a second independent subset of 32 patients with RA. Gene Ontology and WikiPathways database allowed us to highlight the specific biological mechanisms involved in predicting response to ABA/MTX.

resultsFrom the first subset of 36 patients with RA, a combination including 87 transcripts allowed almost perfect separation between responders and non-responders to ABA/MTX. Next, the second subset of patients 32 with RA allowed validation by qRT-PCR of a minimal signature with only four genes. This latter signature categorized 81% of patients with RA with 75% sensitivity, 85% specificity and 85% negative predictive value. This combination showed a significant enrichment of genes involved in electron transport chain (ETC) pathways. Seven transcripts from ETC pathways (NDUFA6, NDUFA4, UQCRQ, ATP5J, COX7A2, COX7B, COX6A1) were significantly downregulated in responders versus non-responders to ABA/MTX. Moreover, dysregulation of these genes was independent of inflammation and was specific to ABA response.

conclusionPre-silencing of ETC genes is associated with future response to ABA/MTX and might be a crucial key to susceptibility to ABA response.

Indexed as

TranscriptomeAbataceptAdultAgedAntirheumatic AgentsArthritis, RheumatoidBiomarkersDrug ResistanceElectron Transport Chain Complex ProteinsFemaleGene Expression ProfilingHumansMaleMethotrexateMiddle AgedAbataceptAntirheumatic AgentsBiomarkersElectron Transport Chain Complex ProteinsMethotrexateAbataceptAbatacept responseBiomarkersMicroarrayMitochondriaOxydative stressRheumatoid arthritis

Identifiers

PMID28545499
PMCPMC5445375

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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.