Evidence map›Paper›PMID 25706550›Full record

ArticlePloS one2015

Proteomic analysis of pure human airway gland mucus reveals a large component of protective proteins.

Nam Soo Joo, Idil Apak T Evans, Hyung-Ju Cho, Il-Ho Park, John F Engelhardt, Jeffrey J Wine

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Structural and cellular mechanisms of mucus plugging in the larger airways.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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  12. Article
  13. Review
  14. Article
  15. Cellular and molecular architecture of submucosal glands in wild-type and cystic fibrosis pigs.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. PAR-2-activated secretion by airway gland serous cells: role for CFTR and inhibition byAmerican journal of physiology. Lung cellular and molecular physiology · 2021
    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

6 authors at 2 institutions in 1 country.

Nam Soo JooThe Cystic Fibrosis Research Laboratory, Stanford University, Stanford, CA, 94305, United States of America.
Idil Apak T EvansDepartment of Anatomy and Cell Biology, Carver College of Medicine, University of Iowa, Iowa City, IA, 52242, United States of America.
Hyung-Ju ChoThe Cystic Fibrosis Research Laboratory, Stanford University, Stanford, CA, 94305, United States of America.
Il-Ho ParkThe Cystic Fibrosis Research Laboratory, Stanford University, Stanford, CA, 94305, United States of America.
John F EngelhardtDepartment of Anatomy and Cell Biology, Carver College of Medicine, University of Iowa, Iowa City, IA, 52242, United States of America.
Jeffrey J WineThe Cystic Fibrosis Research Laboratory, Stanford University, Stanford, CA, 94305, United States of America.
Stanford University · USUniversity of Iowa · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Amy Leanne Ryan · 1998 to 2026
$30.5M
Biology of submucosal gland stem cells in the airwayR37DK047967 · NIDDK · UNIVERSITY OF IOWA · PI ENGELHARDT, JOHN F · 2005 to 2014
$3.8M
MODELS OF SUBMUCOSAL GLAND DEVELOPMENT AND FUNCTIONR01DK047967 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI ENGELHARDT, JOHN F · 1993 to 2020
$3.8M
rAAV-directed gene therapy to the lung in cystic fibrosis ferret modelsR01HL108902 · NHLBI · UNIVERSITY OF IOWA · PI ENGELHARDT, JOHN F · 2011 to 2014
$2.2M
NHLBI NIH HHS HL108902NHLBI NIH HHS R01 HL108902NIDDK NIH HHS DK047967NIDDK NIH HHS DK054759NIDDK NIH HHS P30 DK054759NIDDK NIH HHS R01 DK047967NIDDK NIH HHS R37 DK047967
6 · The paper itself

Abstract

Airway submucosal glands contribute to innate immunity and protect the lungs by secreting mucus, which is required for mucociliary clearance and which also contains antimicrobial, anti-inflammatory, anti-proteolytic and anti-oxidant proteins. We stimulated glands in tracheal trimmings from three lung donors and collected droplets of uncontaminated mucus as they formed at the gland orifices under an oil layer. We analyzed the mucus using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Analysis identified 5486 peptides and 441 proteins from across the 3 samples (269-319 proteins per subject). We focused on 269 proteins common to at least 2 0f 3 subjects, of which 102 (38%) had protective or innate immunity functions. While many of these have long been known to play such roles, for many others their cellular protective functions have only recently been appreciated in addition to their well-studied biologic functions (e.g. annexins, apolipoproteins, gelsolin, hemoglobin, histones, keratins, and lumican). A minority of the identified proteins are known to be secreted via conventional exocytosis, suggesting that glandular secretion occurs via multiple mechanisms. Two of the observed protective proteins, major vault protein and prohibitin, have not been observed in fluid from human epithelial cultures or in fluid from nasal or bronchoalveolar lavage. Further proteomic analysis of pure gland mucus may help clarify how healthy airways maintain a sterile environment.

Indexed as

HumansMucociliary ClearanceMucusProteomicsRespiratory MucosaRespiratory System

Identifiers

PMID25706550
PMCPMC4338240
OpenAlexW2050822511

What OpenQuestion holds

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LicenceCC BY
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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.