Evidence map›Paper›PMID 32561607›Full record

ArticleAnnals of the rheumatic diseases2020

Genome-wide whole blood transcriptome profiling in a large European cohort of systemic sclerosis patients.

Lorenzo Beretta, Guillermo Barturen, Barbara Vigone, Chiara Bellocchi, Nicolas Hunzelmann, Ellen De Langhe, Ricard Cervera, Maria Gerosa, László Kovács, Rafaela Ortega Castro and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

21 authors at 13 institutions in 8 countries.

Lorenzo BerettaScleroderma Unit, Referral Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy lorberimm@hotmail.com.ORCID 0000-0002-6529-6258
Guillermo BarturenGENYO, Centre for Genomics and Oncological Research Pfizer, University of Granada, Andalusian Regional Government, PTS GRANADA, Granada, Spain.
Barbara VigoneScleroderma Unit, Referral Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy.
Chiara BellocchiScleroderma Unit, Referral Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy.
Nicolas HunzelmannKlinik und Poliklinik für Dermatologie und Venerologie, Uniklinik Köln, Köln, Germany.
Ellen De LangheDivision of Rheumatology, University Hospitals Leuven and Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.
Ricard CerveraDepartment of Autoimmune Diseases, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Maria GerosaDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
László KovácsDepartment of Rheumatology and Immunology, University of Szeged, Faculty of Medicine, Szeged, Hungary.
Rafaela Ortega CastroServicio de Reumatologia, Hospital Universitario Reina Sofía, Instituto Maimónides de Investigación Biomédica IMIBIC, Córdoba, Spain.
Isabel AlmeidaServiço de Imunologia EX-CICAP, Centro Hospitalar e Universitário do Porto, Porto, Portugal.
Divi CornecUMR1227, Lymphocytes B et Autoimmunité, Université de Brest, Inserm, Labex IGO, Brest, France.
Carlo ChizzoliniImmunology & Allergy, University Hospital and School of Medicine (HCUGE), Geneva, Switzerland.
Jacques-Olivier PersUMR1227, Lymphocytes B et Autoimmunité, Université de Brest, Inserm, Labex IGO, Brest, France.
Zuzanna MakowskaBayer Pharma AG, Berlin, Berlin, Germany.
Ralf LescheDrug Discovery, Bayer AG, Berlin, Germany.
Martin KerickInstituto de Parasitologia y Biomedicina Lopez-Neyra, Granada, Spain.
Marta Eugenia Alarcón-RiquelmeGENYO, Centre for Genomics and Oncological Research Pfizer, University of Granada, Andalusian Regional Government, PTS GRANADA, Granada, Spain.
Javier MartinInstituto de Parasitologia y Biomedicina Lopez-Neyra, Granada, Spain.
PRECISESADS SSc substudy group
PRECISESADS Flow Cytometry study group
Bayer (Germany) · DEFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITInserm · FRInstituto de Parasitología y Biomedicina "López - Neyra" · ESPfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research · ESUniversity of Milan · ITCentro Hospitalar do Porto · PTConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ESKlinik und Poliklinik für Neurologie · DEKU Leuven · BEUniversity Hospital of Geneva · CHUniversity of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe analysis of annotated transcripts from genome-wide expression studies may help to understand the pathogenesis of complex diseases, such as systemic sclerosis (SSc). We performed a whole blood (WB) transcriptome analysis on RNA collected in the context of the European PRECISESADS project, aiming at characterising the pathways that differentiate SSc from controls and that are reproducible in geographically diverse populations.

methodsSamples from 162 patients and 252 controls were collected in RNA stabilisers. Cases and controls were divided into a discovery (n=79+163; Southern Europe) and validation cohort (n=83+89; Central-Western Europe). RNA sequencing was performed by an Illumina assay. Functional annotations of Reactome pathways were performed with the Functional Analysis of Individual Microarray Expression (FAIME) algorithm. In parallel, immunophenotyping of 28 circulating cell populations was performed. We tested the presence of differentially expressed genes/pathways and the correlation between absolute cell counts and RNA transcripts/FAIME scores in regression models. Results significant in both populations were considered as replicated.

resultsOverall, 15 224 genes and 1277 functional pathways were available; of these, 99 and 225 were significant in both sets. Among replicated pathways, we found a deregulation in type-I interferon, Toll-like receptor cascade, tumour suppressor p53 protein function, platelet degranulation and activation. RNA transcripts or FAIME scores were jointly correlated with cell subtypes with strong geographical differences; neutrophils were the major determinant of gene expression in SSc-WB samples.

conclusionsWe discovered a set of differentially expressed genes/pathways validated in two independent sets of patients with SSc, highlighting a number of deregulated processes that have relevance for the pathogenesis of autoimmunity and SSc.

Indexed as

AdultAgedAutoimmunityCohort StudiesEuropeFemaleGene Expression ProfilingGenome-Wide Association StudyHumansImmunophenotypingInterferon Type IMaleMicroarray AnalysisMiddle AgedScleroderma, SystemicSequence Analysis, RNAInterferon Type IToll-Like Receptorsautoimmune diseasesepidemiologysystemic sclerosis

Identifiers

PMID32561607
PMCPMC7456554
OpenAlexW3035878234

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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.