Evidence map›Paper›PMID 29548305›Full record

Observational studyBMC pulmonary medicine2018

CC16 levels correlate with cigarette smoke exposure in bronchial epithelial cells and with lung function decline in smokers.

David Chi-Leung Lam, Hoi-Hin Kwok, Wai-Cho Yu, Fanny Wai-San Ko, Cheuk-Yin Tam, Arthur Chun-Wing Lau, Daniel Yee-Tak Fong, Mary Sau-Man Ip

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01185652 (A Study on Smoking-related Lung Function Abnormalities and Correlation With Serum Biomarkers in Chinese), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 9% 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.

NCT01185652 unknown statusnot on this map

A Study on Smoking-related Lung Function Abnormalities and Correlation With Serum Biomarkers in Chinese

TypeobservationalSponsorThe University of Hong KongRan2010 to 2012Enrolled1,000ConditionsChronic Airflow Obstruction
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Frontiers in immunology · 2025
    Article
  5. Low CC16 mRNA Expression Levels in Bronchial Epithelial Cells Are Associated with Asthma Severity.American journal of respiratory and critical care medicine · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Taking Precise Aim at Lung Disease.American journal of respiratory and critical care medicine · 2019
    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

8 authors at 4 institutions in 2 countries.

David Chi-Leung LamDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 21 Sassoon Road, Pokfulam, HK, China. dcllam@hku.hk.ORCID http://orcid.org/0000-0002-0004-2660
Hoi-Hin KwokDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 21 Sassoon Road, Pokfulam, HK, China.
Wai-Cho YuDepartment of Medicine and Geriatrics, Princess Margaret Hospital, Lai King, HK, China.
Fanny Wai-San KoDepartment of Medicine and Therapeutics, the Chinese University of Hong Kong, Shatin, HK, China.
Cheuk-Yin TamDepartment of Medicine and Geriatrics, Tuen Mun Hospital, 23, Tsing Chung Koon Rd, Tuen Mun, HK, China.
Arthur Chun-Wing LauDepartment of Intensive Care, Pamela Youde Nethersole Hospital, 3, Lok Man Rd, Chai Wan, HK, China.
Daniel Yee-Tak FongSchool of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, 21 Sassoon Road, Pokfulam, HK, China.
Mary Sau-Man IpDepartment of Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, 21 Sassoon Road, Pokfulam, HK, China.
HKU-Pasteur Research Pole · HKChinese University of Hong Kong · HKPamela Youde Nethersole Eastern Hospital · CNTuen Mun Hospital · CN

Funding

Hong Kong Lung Foundation Research Grant NAUniversity of Hong Kong YC Chan Scientist Award NA
6 · The paper itself

Abstract

backgroundClub cell protein-16 (CC16) expression has been associated with smoking-related lung function decline. The study hypothesis was that CC16 expression in both serum and bronchial epithelium is associated with lung function decline in smokers, and exposure to cigarette smoke will lead to reduction in CC16 expression in bronchial epithelial cells.

methodsIn a cohort of community-based male Chinese subjects recruited for lung function test in 2000, we reassessed their lung function ten years later and measured serum levels of CC16. CC16 expression was further assayed in bronchial epithelium from endobronchial biopsies taken from an independent cohort of subjects undergoing autofluorescence bronchoscopy, and tested for correlation between CC16 immunostaining intensity and lung function. In an in-vitro model, bronchial epithelial cells were exposed to cigarette smoke extract (CSE), and the expression levels of CC16 were measured in bronchial epithelial cells before and after exposure to CSE.

resultsThere was a significant association between FEV

conclusionsResults of these clinical and laboratory investigations suggested that low serum CC16 was associated with smoking-related decline in lung function, demonstrated the first time in a Chinese cohort. The data also lend support to the putative role of CC16 in protection against smoking-related bronchial epithelial damage. (Abstract word count: 243) US CLINICAL TRIAL REGISTRY: NCT01185652 , first posted 20 August, 2010.

Indexed as

AdultAgedBiomarkersCigarette SmokingEpithelial CellsFemaleForced Expiratory VolumeHong KongHumansLinear ModelsLungMaleMiddle AgedProspective StudiesRespiratory MucosaUteroglobinBiomarkersSCGB1A1 protein, humanUteroglobinBiomarkersForced expiratory volumeLung functionSmokingSpirometry

Identifiers

PMID29548305
PMCPMC5857103
OpenAlexW2803332200

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.