Evidence map›Paper›PMID 25036363›Full record

ArticlePloS one2014

Susceptibility to COPD: differential proteomic profiling after acute smoking.

Lorenza Franciosi, Dirkje S Postma, Maarten van den Berge, Natalia Govorukhina, Peter L Horvatovich, Fabrizia Fusetti, Bert Poolman, Monique E Lodewijk, Wim Timens, Rainer Bischoff and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
    Review
  7. High-Density Lipoproteins: A Role in Inflammation in COPD.International journal of molecular sciences · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Systems toxicology meta-analysis ofToxicology research · 2017
    Article
  12. SERPINB3 and B4: From biochemistry to biology.Seminars in cell & developmental biology · 2017
    Review
  13. Article
  14. 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

11 authors at 2 institutions in 1 country.

Lorenza FranciosiUniversity of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands.
Dirkje S PostmaUniversity of Groningen, University Medical Centre Groningen, Department of Pulmonary Diseases, Groningen Research Institute of Asthma and COPD (GRIAC), Groningen, The Netherlands.
Maarten van den BergeUniversity of Groningen, University Medical Centre Groningen, Department of Pulmonary Diseases, Groningen Research Institute of Asthma and COPD (GRIAC), Groningen, The Netherlands.
Natalia GovorukhinaUniversity of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands.
Peter L HorvatovichUniversity of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands.
Fabrizia FusettiDepartment of Biochemistry, University of Groningen, Netherlands Proteomics Centre, Groningen, The Netherlands.
Bert PoolmanDepartment of Biochemistry, University of Groningen, Netherlands Proteomics Centre, Groningen, The Netherlands.
Monique E LodewijkUniversity of Groningen, University Medical Centre Groningen, Department of Pathology, Groningen Research Institute of Asthma and COPD (GRIAC), Groningen, The Netherlands.
Wim TimensUniversity of Groningen, University Medical Centre Groningen, Department of Pathology, Groningen Research Institute of Asthma and COPD (GRIAC), Groningen, The Netherlands.
Rainer BischoffUniversity of Groningen, Department of Pharmacy, Analytical Biochemistry, Groningen, The Netherlands.
Nick H T ten HackenUniversity of Groningen, University Medical Centre Groningen, Department of Pulmonary Diseases, Groningen Research Institute of Asthma and COPD (GRIAC), Groningen, The Netherlands.
University of Groningen · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cigarette smoking is the main risk factor for COPD (Chronic Obstructive Pulmonary Disease), yet only a subset of smokers develops COPD. Family members of patients with severe early-onset COPD have an increased risk to develop COPD and are therefore defined as "susceptible individuals". Here we perform unbiased analyses of proteomic profiles to assess how "susceptible individuals" differ from age-matched "non-susceptible individuals" in response to cigarette smoking. Epithelial lining fluid (ELF) was collected at baseline and 24 hours after smoking 3 cigarettes in young individuals susceptible or non-susceptible to develop COPD and older subjects with established COPD. Controls at baseline were older healthy smoking and non-smoking individuals. Five samples per group were pooled and analysed by stable isotope labelling (iTRAQ) in duplicate. Six proteins were selected and validated by ELISA or immunohistochemistry. After smoking, 23 proteins increased or decreased in young susceptible individuals, 7 in young non-susceptible individuals, and 13 in COPD in the first experiment; 23 proteins increased or decreased in young susceptible individuals, 32 in young non-susceptible individuals, and 11 in COPD in the second experiment. SerpinB3 and Uteroglobin decreased after acute smoke exposure in young non-susceptible individuals exclusively, whereas Peroxiredoxin I, S100A9, S100A8, ALDH3A1 (Aldehyde dehydrogenase 3A1) decreased both in young susceptible and non-susceptible individuals, changes being significantly different between groups for Uteroglobin with iTRAQ and for Serpin B3 with iTRAQ and ELISA measures. Peroxiredoxin I, SerpinB3 and ALDH3A1 increased in COPD patients after smoking. We conclude that smoking induces a differential protein response in ELF of susceptible and non-susceptible young individuals, which differs from patients with established COPD. This is the first study applying unbiased proteomic profiling to unravel the underlying mechanisms that induce COPD. Our data suggest that SerpinB3 and Uteroglobin could be interesting proteins in understanding the processes leading to COPD.

Indexed as

ProteomicsAdolescentAdultDisease SusceptibilityEpitheliumFemaleHumansMaleMiddle AgedPulmonary Disease, Chronic ObstructiveSmokingTime FactorsYoung Adult

Identifiers

PMID25036363
PMCPMC4103835
OpenAlexW2082617528

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.