Evidence map›Paper›PMID 21470430›Full record

ArticleArthritis research & therapy2011

Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects.

Fernando M Pimentel-Santos, Dário Ligeiro, Mafalda Matos, Ana F Mourão, José Costa, Helena Santos, Anabela Barcelos, Fátima Godinho, Patricia Pinto, Margarida Cruz and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06778343 (BIRDD), which is not on this map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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.

NCT06778343 recruitingnot on this mapstarted 2023, after this paper: background citation

BIRDD: Biomarkers in Inflammatory Rheumatic Diseases Diagnosis - Ankylosing Spondylitis, Rheumatoid Arthritis and Systemic Lupus Erythematosus

Typeobservational_patient_registrySponsorUniversidade Nova de LisboaRan2023 to 2025Enrolled134ConditionsAnkylosing Spondylitis, Rheumatic Arthritis, Systemic Lupus Erythematosus
3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 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

15 authors at 10 institutions in 2 countries.

Fernando M Pimentel-SantosCEDOC, Faculdade de Ciências Médicas da Universidade Nova de Lisboa, Campo dos Mártires da Pátria, n° 130, 1169-056 Lisboa, Portugal. pimentel.santos@gmail.com
Dário Ligeiro
Mafalda Matos
Ana F Mourão
José Costa
Helena Santos
Anabela Barcelos
Fátima Godinho
Patricia Pinto
Margarida Cruz
João E Fonseca
Henrique Guedes-Pinto
Jaime C Branco
Matthew A Brown
Gethin P Thomas
The University of Queensland · AUUniversity of Trás-os-Montes and Alto Douro · PTCentro Hospitalar de Vila Nova de Gaia · PTCentro Hospitalar do Baixo Vouga · PTCentro Hospitalar Lisboa Norte · PTHospital de Egas Moniz · PTHospital Garcia de Orta · PTInstituto Português de Malacologia · PTUniversidade Nova de Lisboa · PTUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA number of genetic-association studies have identified genes contributing to ankylosing spondylitis (AS) susceptibility but such approaches provide little information as to the gene activity changes occurring during the disease process. Transcriptional profiling generates a 'snapshot' of the sampled cells' activity and thus can provide insights into the molecular processes driving the disease process. We undertook a whole-genome microarray approach to identify candidate genes associated with AS and validated these gene-expression changes in a larger sample cohort.

methodsA total of 18 active AS patients, classified according to the New York criteria, and 18 gender- and age-matched controls were profiled using Illumina HT-12 whole-genome expression BeadChips which carry cDNAs for 48,000 genes and transcripts. Class comparison analysis identified a number of differentially expressed candidate genes. These candidate genes were then validated in a larger cohort using qPCR-based TaqMan low density arrays (TLDAs).

resultsA total of 239 probes corresponding to 221 genes were identified as being significantly different between patients and controls with a P-value <0.0005 (80% confidence level of false discovery rate). Forty-seven genes were then selected for validation studies, using the TLDAs. Thirteen of these genes were validated in the second patient cohort with 12 downregulated 1.3- to 2-fold and only 1 upregulated (1.6-fold). Among a number of identified genes with well-documented inflammatory roles we also validated genes that might be of great interest to the understanding of AS progression such as SPOCK2 (osteonectin) and EP300, which modulate cartilage and bone metabolism.

conclusionsWe have validated a gene expression signature for AS from whole blood and identified strong candidate genes that may play roles in both the inflammatory and joint destruction aspects of the disease.

Indexed as

Gene Expression ProfilingAdultCluster AnalysisFemaleGenome-Wide Association StudyHumansInflammationMaleMiddle AgedOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionSpondylitis, AnkylosingYoung Adult

Identifiers

PMID21470430
PMCPMC3132052
OpenAlexW2135602701

What OpenQuestion holds

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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.