Evidence map›Paper›PMID 23203040›Full record

ArticleInternational journal of molecular sciences2012

Profiling the proteome of exhaled breath condensate in healthy smokers and COPD patients by LC-MS/MS.

Marco Fumagalli, Fabio Ferrari, Maurizio Luisetti, Jan Stolk, Pieter S Hiemstra, Daniela Capuano, Simona Viglio, Laura Fregonese, Isa Cerveri, Federica Corana and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.9field-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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. Application of Proteomics in Sarcoidosis.American journal of respiratory cell and molecular biology · 2020
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Application of proteomics and peptidomics to COPD.BioMed research international · 2014
    Review
  15. 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

12 authors at 4 institutions in 2 countries.

Marco FumagalliDepartment of Biology and Biotechnology, University of Pavia, Via Taramelli 3/B, 27100 Pavia, Italy. piadarol@unipv.it.
Fabio Ferrari
Maurizio Luisetti
Jan Stolk
Pieter S Hiemstra
Daniela Capuano
Simona Viglio
Laura Fregonese
Isa Cerveri
Federica Corana
Carmine Tinelli
Paolo Iadarola
University of Pavia · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITLeiden University Medical Center · NLPavia nel Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three pools of exhaled breath condensate (EBC) from non-smokers plus healthy smokers (NS + HS, n = 45); chronic obstructive pulmonary disease (COPD) without emphysema (COPD, n = 15) and subjects with pulmonary emphysema associated with α(1)-antitrypsin deficiency (AATD, n = 23) were used for an exploratory proteomic study aimed at generating fingerprints of these groups that can be used in future pathophysiological and perhaps even clinical research. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was the platform applied for this hypothesis-free investigation. Analysis of pooled specimens resulted in the production of a "fingerprint" made of 44 proteins for NS/HS; 17 for COPD and 15 for the group of AATD subjects. Several inflammatory cytokines (IL-1α, IL-1β, IL-2; IL-12, α and β subunits, IL-15, interferon α and γ, tumor necrosis factor α); Type I and II cytokeratins; two SP-A isoforms; Calgranulin A and B and α1-antitrypsin were detected and validated through the use of surface enhanced laser-desorption ionization mass spectrometry (SELDI-MS) and/or by Western blot (WB) analysis. These results are the prelude of quantitative studies aimed at identifying which of these proteins hold promise as identifiers of differences that could distinguish healthy subjects from patients.

Indexed as

ExhalationProteomeProteomicsSmokingAdultAgedChromatography, LiquidCross-Sectional StudiesFemaleHumansMaleMiddle AgedPulmonary Disease, Chronic ObstructiveReproducibility of ResultsRespiratory Function TestsTandem Mass SpectrometryProteome

Identifiers

PMID23203040
PMCPMC3509556
OpenAlexW2048886295

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.