Evidence map›Paper›PMID 21829517›Full record

ArticlePloS one2011

Biologic phenotyping of the human small airway epithelial response to cigarette smoking.

Ann E Tilley, Timothy P O'Connor, Neil R Hackett, Yael Strulovici-Barel, Jacqueline Salit, Nancy Amoroso, Xi Kathy Zhou, Tina Raman, Larsson Omberg, Andrew Clark and 2 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
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

48 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Identification ofInternational journal of chronic obstructive pulmonary disease · 2026
    Article
  4. Article
  5. Article
  6. Serial Sampling of the Small Airway Epithelium to Identify Persistent Smoking-dysregulated Genes.American journal of respiratory and critical care medicine · 2023
    Article
  7. Oxidised IL-33 drives COPD epithelial pathogenesisThe European respiratory journal · 2023
    Article
  8. Article
  9. Article
  10. A Single-Cell Atlas of Large and Small Airways at Birth in a Porcine Model of Cystic Fibrosis.American journal of respiratory cell and molecular biology · 2022
    Article
  11. Article
  12. Bioinformatic Analysis ofMembranes · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Vitamin D Metabolism Is Dysregulated in Asthma and Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2020
    Article
  18. Expression of the SARS-CoV-2American journal of respiratory and critical care medicine · 2020
    Article
  19. Article
  20. 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.

Ann E TilleyDepartment of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America.
Timothy P O'Connor
Neil R Hackett
Yael Strulovici-Barel
Jacqueline Salit
Nancy Amoroso
Xi Kathy Zhou
Tina Raman
Larsson Omberg
Andrew Clark
Jason Mezey
Ronald G Crystal

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024996 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2007 to 2011
$49.6M
Role of Alveolar Macrophages in the Accelerated Emphysema of HIV-1 PositiveP50HL084936 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CRYSTAL, RONALD G · 2007 to 2011
$14.2M
Candidate Genes for Susceptibility to BronchitisR01HL074326 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CRYSTAL, RONALD G · 2004 to 2007
$2.4M
Clinical and Translational Science Center (KL2)KL2RR024997 · NCRR · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2007 to 2011
$1.5M
NCRR NIH HHS K12RR024997NCRR NIH HHS KL2 RR024997NCRR NIH HHS UL1 RR024996NCRR NIH HHS UL-RR024996NHLBI NIH HHS P50 HL084936NHLBI NIH HHS P50HL084936NHLBI NIH HHS R01 HL074326NHLBI NIH HHS R01HL074326
6 · The paper itself

Abstract

backgroundThe first changes associated with smoking are in the small airway epithelium (SAE). Given that smoking alters SAE gene expression, but only a fraction of smokers develop chronic obstructive pulmonary disease (COPD), we hypothesized that assessment of SAE genome-wide gene expression would permit biologic phenotyping of the smoking response, and that a subset of healthy smokers would have a "COPD-like" SAE transcriptome. METHODOLOGY/PRINCIPAL

findingsSAE (10th-12th generation) was obtained via bronchoscopy of healthy nonsmokers, healthy smokers and COPD smokers and microarray analysis was used to identify differentially expressed genes. Individual responsiveness to smoking was quantified with an index representing the % of smoking-responsive genes abnormally expressed (I(SAE)), with healthy smokers grouped into "high" and "low" responders based on the proportion of smoking-responsive genes up- or down-regulated in each smoker. Smokers demonstrated significant variability in SAE transcriptome with I(SAE) ranging from 2.9 to 51.5%. While the SAE transcriptome of "low" responder healthy smokers differed from both "high" responders and smokers with COPD, the transcriptome of the "high" responder healthy smokers was indistinguishable from COPD smokers. CONCLUSION/SIGNIFICANCE: The SAE transcriptome can be used to classify clinically healthy smokers into subgroups with lesser and greater responses to cigarette smoking, even though these subgroups are indistinguishable by clinical criteria. This identifies a group of smokers with a "COPD-like" SAE transcriptome.

Indexed as

Gene Expression ProfilingGene Expression RegulationAdultBiomarkersCase-Control StudiesEpitheliumFemaleHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisPhenotypePulmonary Disease, Chronic ObstructiveRespiratory MucosaSmokingBiomarkers

Identifiers

PMID21829517
PMCPMC3145669

What OpenQuestion holds

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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.