Evidence map›Paper›PMID 19563633›Full record

ArticleArthritis research & therapy2009

Early and long-standing rheumatoid arthritis: distinct molecular signatures identified by gene-expression profiling in synovia.

Thierry Lequerré, Carine Bansard, Olivier Vittecoq, Céline Derambure, Martine Hiron, Maryvonne Daveau, François Tron, Xavier Ayral, Norman Biga, Isabelle Auquit-Auckbur and 3 more

Open access · goldAbstract readComparative Study
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. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  19. A systems biology approach to synovial joint lubrication in health, injury, and disease.Wiley interdisciplinary reviews. Systems biology and medicine
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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

13 authors at 4 institutions in 1 country.

Thierry LequerréDepartment of Rheumatology, Rouen University Hospital and Inserm 905 & Institut Fédératif de Recherche Multidisciplinaire sur les Peptides 23, Institute for Biomedical Research, University of Rouen, 76031 Rouen Cedex, France. thierry.lequerre@chu-rouen.fr
Carine Bansard
Olivier Vittecoq
Céline Derambure
Martine Hiron
Maryvonne Daveau
François Tron
Xavier Ayral
Norman Biga
Isabelle Auquit-Auckbur
Gilles Chiocchia
Xavier Le Loët
Jean-Philippe Salier
Université de Rouen Normandie · FRInserm · FRCentre National de la Recherche Scientifique · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRheumatoid arthritis (RA) is a heterogeneous disease and its underlying molecular mechanisms are still poorly understood. Because previous microarray studies have only focused on long-standing (LS) RA compared to osteoarthritis, we aimed to compare the molecular profiles of early and LS RA versus control synovia.

methodsSynovial biopsies were obtained by arthroscopy from 15 patients (4 early untreated RA, 4 treated LS RA and 7 controls, who had traumatic or mechanical lesions). Extracted mRNAs were used for large-scale gene-expression profiling. The different gene-expression combinations identified by comparison of profiles of early, LS RA and healthy synovia were linked to the biological processes involved in each situation.

resultsThree combinations of 719, 116 and 52 transcripts discriminated, respectively, early from LS RA, and early or LS RA from healthy synovia. We identified several gene clusters and distinct molecular signatures specifically expressed during early or LS RA, thereby suggesting the involvement of different pathophysiological mechanisms during the course of RA.

conclusionsEarly and LS RA have distinct molecular signatures with different biological processes participating at different times during the course of the disease. These results suggest that better knowledge of the main biological processes involved at a given RA stage might help to choose the most appropriate treatment.

Indexed as

AdultArthritis, RheumatoidFemaleGene Expression ProfilingGenetic MarkersHumansMaleMicroarray AnalysisMiddle AgedSynovial FluidTime FactorsYoung AdultGenetic Markers

Identifiers

PMID19563633
PMCPMC2714155
OpenAlexW2100421363

What OpenQuestion holds

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LicenceCC BY
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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.