Evidence map›Paper›PMID 36480517›Full record

ArticlePloS one2022

Proteomic profiling of serum identifies a molecular signature that correlates with clinical outcomes in COPD.

Rania Dagher, Paul Fogel, Jingya Wang, David Soussan, Chia-Chien Chiang, Jennifer Kearley, Daniel Muthas, Camille Taillé, Patrick Berger, Arnaud Bourdin and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Post-COPD: Can Emphysema Be Repaired?American journal of respiratory and critical care medicine · 2025
    Article
  2. Article
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

18 authors at 8 institutions in 5 countries.

Rania DagherBioscience COPD/IPF, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States of America.
Paul FogelIndependent Consultant, Paris, France.
Jingya WangTranslational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States of America.
David SoussanInserm UMR1152, Physiopathologie et Epidémiologie des Maladies Respiratoires, Université Paris Cité, Faculté de Médecine, Site Bichat, Paris, France.
Chia-Chien ChiangData Sciences and AI, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States of America.
Jennifer KearleyBioscience COPD/IPF, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States of America.
Daniel MuthasTranslational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Camille TailléInserm UMR1152, Physiopathologie et Epidémiologie des Maladies Respiratoires, Université Paris Cité, Faculté de Médecine, Site Bichat, Paris, France.
Patrick BergerInserm UMR1045, Université de Bordeaux, Service d'explorations Fonctionnelles Respiratoires, Centre Hospitalo-Universitaire de Bordeaux, Bordeaux, France.ORCID 0000-0003-4702-0343
Arnaud BourdinInserm UMR1046, Université de Montpellier, Département de Pneumologie et Addictologie, Centre Hospitalo-Universitaire de Montpellier, Montpellier, France.
Cécile ChenivesseInserm UMR1158, Université Pierre et Marie Curie, Service de Pneumologie et Réanimation médicale, Centre Hospitalo-Universitaire La Pitié Salpêtrière, Paris, France.
Sylvie LeroyUniversité de Nice and Service de Pneumologie Hôpital Pasteur, Centre Hospitalo-Universitaire de Nice, Nice, France.
Gary AndersonLung Health Research Centre, Department of Pharmacology and Therapeutics, University of Melbourne, Melbourne, Victoria, Australia.
Alison A HumblesBioscience COPD/IPF, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States of America.
Michel AubierTranslational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States of America.
Roland KolbeckBioscience COPD/IPF, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, United States of America.
Marina PretolaniInserm UMR1152, Physiopathologie et Epidémiologie des Maladies Respiratoires, Université Paris Cité, Faculté de Médecine, Site Bichat, Paris, France.ORCID 0000-0003-4576-5990
COBRA Consortium
AstraZeneca (Sweden) · SEInserm · FRAstraZeneca (Australia) · AUAstraZeneca (Finland) · FICentre Hospitalier Universitaire de Nice · FRThe University of Melbourne · AUUniversité Claude Bernard Lyon 1 · FRUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNovel biomarkers related to main clinical hallmarks of Chronic obstructive pulmonary disease (COPD), a heterogeneous disorder with pulmonary and extra-pulmonary manifestations, were investigated by profiling the serum levels of 1305 proteins using Slow Off-rate Modified Aptamers (SOMA)scan technology.

methodsSerum samples were collected from 241 COPD subjects in the multicenter French Cohort of Bronchial obstruction and Asthma to measure the expression of 1305 proteins using SOMAscan proteomic platform. Clustering of the proteomics was applied to identify disease subtypes and their functional annotation and association with key clinical parameters were examined. Cluster findings were revalidated during a follow-up visit, and compared to those obtained in a group of 47 COPD patients included in the Melbourne Longitudinal COPD Cohort.

resultsUnsupervised clustering identified two clusters within COPD subjects at inclusion. Cluster 1 showed elevated levels of factors contributing to tissue injury, whereas Cluster 2 had higher expression of proteins associated with enhanced immunity and host defense, cell fate, remodeling and repair and altered metabolism/mitochondrial functions. Patients in Cluster 2 had a lower incidence of exacerbations, unscheduled medical visits and prevalence of emphysema and diabetes. These protein expression patterns were conserved during a follow-up second visit, and substanciated, by a large part, in a limited series of COPD patients. Further analyses identified a signature of 15 proteins that accurately differentiated the two COPD clusters at the 2 visits.

conclusionsThis study provides insights into COPD heterogeneity and suggests that overexpression of factors involved in lung immunity/host defense, cell fate/repair/ remodelling and mitochondrial/metabolic activities contribute to better clinical outcomes. Hence, high throughput proteomic assay offers a powerful tool for identifying COPD endotypes and facilitating targeted therapies.

Indexed as

ProteomicsPulmonary Disease, Chronic ObstructiveHumans

Identifiers

PMID36480517
PMCPMC9731494
OpenAlexW4311153658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.