Evidence map›Paper›PMID 26396508›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2015

Protein networks in induced sputum from smokers and COPD patients.

James N Baraniuk, Begona Casado, Lewis K Pannell, Peter B McGarvey, Piera Boschetto, Maurizio Luisetti, Paolo Iadarola

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2015. 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
1.7field-weighted citation impact, top 16% 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, 26 citations in OpenAlex.

  1. Pooled it
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  4. Epigenetic Reprogramming Drives Epithelial Disruption in Chronic Obstructive Pulmonary Disease.American journal of respiratory cell and molecular biology · 2024
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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

7 authors at 3 institutions in 2 countries.

James N BaraniukDivision of Rheumatology, Immunology and Allergy, Georgetown University, Washington, DC, USA.
Begona CasadoDivision of Rheumatology, Immunology and Allergy, Georgetown University, Washington, DC, USA.
Lewis K PannellProteomics and Mass Spectrometry Laboratory, Mitchell Cancer Center, University of South Alabama, Mobile, AL, USA.
Peter B McGarveyInnovation Center for Biomedical Informatics, Georgetown University, Washington, DC, USA.
Piera BoschettoDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Maurizio LuisettiSC Pneumologia, Dipartimento Medicina Molecolare, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
Paolo IadarolaLazzaro Spallanzani Department of Biology and Biotechnology, University of Pavia, Pavia, Italy.
Georgetown University · USUniversity of Ferrara · ITUniversity of Pavia · IT

Funding

WIHS INTENSIVE PHARMACOKINETIC STUDY (IPS)M01RR023942 · NCRR · GEORGETOWN UNIVERSITY · PI FEDEROFF, HOWARD J. · 2007 to 2009
$6.9M
Proteomics of Cerebrospinal Fluid in Chronic Fatigue SyndromeR01ES015382 · NIEHS · GEORGETOWN UNIVERSITY · PI BARANIUK, JAMES N · 2006 to 2009
$1.5M
NCRR NIH HHS M01 RR023942NCRR NIH HHS M01RR-023942-01NIEHS NIH HHS R01 ES015382
6 · The paper itself

Abstract

rationaleSubtypes of cigarette smoke-induced disease affect different lung structures and may have distinct pathophysiological mechanisms.

objectiveTo determine if proteomic classification of the cellular and vascular origins of sputum proteins can characterize these mechanisms and phenotypes. SUBJECTS AND

methodsIndividual sputum specimens from lifelong nonsmokers (n=7) and smokers with normal lung function (n=13), mucous hypersecretion with normal lung function (n=11), obstructed airflow without emphysema (n=15), and obstruction plus emphysema (n=10) were assessed with mass spectrometry. Data reduction, logarithmic transformation of spectral counts, and Cytoscape network-interaction analysis were performed. The original 203 proteins were reduced to the most informative 50. Sources were secretory dimeric IgA, submucosal gland serous and mucous cells, goblet and other epithelial cells, and vascular permeability.

resultsEpithelial proteins discriminated nonsmokers from smokers. Mucin 5AC was elevated in healthy smokers and chronic bronchitis, suggesting a continuum with the severity of hypersecretion determined by mechanisms of goblet-cell hyperplasia. Obstructed airflow was correlated with glandular proteins and lower levels of Ig joining chain compared to other groups. Emphysema subjects' sputum was unique, with high plasma proteins and components of neutrophil extracellular traps, such as histones and defensins. In contrast, defensins were correlated with epithelial proteins in all other groups. Protein-network interactions were unique to each group.

conclusionThe proteomes were interpreted as complex "biosignatures" that suggest distinct pathophysiological mechanisms for mucin 5AC hypersecretion, airflow obstruction, and inflammatory emphysema phenotypes. Proteomic phenotyping may improve genotyping studies by selecting more homogeneous study groups. Each phenotype may require its own mechanistically based diagnostic, risk-assessment, drug- and other treatment algorithms.

Indexed as

AdultAgedBronchitis, ChronicFemaleForced Expiratory VolumeHumansImmunoglobulin A, SecretoryMaleMiddle AgedMucin 5ACMucusProteomicsPulmonary Disease, Chronic ObstructivePulmonary EmphysemaSmokingSputumImmunoglobulin A, SecretoryMucin 5ACchronic bronchitiscigarette smokersemphysemamucin 5ACmucous hypersecretionneutrophil extracellular netsproteomics

Identifiers

PMID26396508
PMCPMC4576903
OpenAlexW1824897808

What OpenQuestion holds

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LicenceCC BY-NC
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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.