The DOI matches its Crossref record.
Goblet Cell Hyperplasia and Epithelial Inflammation in Peripheral Airways of Smokers with Both Symptoms of Chronic Bronchitis and Chronic Airflow Limitation
Open accessAbstract
To quantify the number of goblet cells and inflammatory cells in the epithelium of peripheral airways in smokers with both symptoms of chronic bronchitis and chronic airflow limitation, we examined surgical specimens obtained from 25 subjects undergoing lung resection for localized pulmonary lesions: 10 smokers with symptoms of chronic bronchitis and chronic airflow limitation, six asymptomatic smokers with normal lung function, and nine nonsmoking control subjects. Peripheral airways were examined with histochemical methods to identify goblet cells and with immunohistochemical methods to identify total leukocytes (CD45(+) cells), neutrophils, macrophages, CD4(+) and CD8(+) cells in the epithelium. When compared with nonsmokers, smokers with both symptoms of chronic bronchitis and chronic airflow limitation had an increased number of goblet cells (p < 0.01), CD45(+) cells (p < 0. 01), macrophages (p < 0.05), and CD8(+) cells (p < 0.01) in the epithelium of peripheral airways. When all the smokers were grouped together, they showed an increased number of neutrophils (p < 0.05) along with an increased number of goblet cells, CD45(+) cells, macrophages and CD8(+) cells (p < 0.05) compared with nonsmokers. In conclusion, smokers with both symptoms of chronic bronchitis and chronic airflow limitation have an increased number of goblet cells and inflammatory cells in the epithelium of peripheral airways.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Rajendrasozhan, S., Yang, S.-R., Kinnula, V. L., & Rahman, I. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200708-1269oc · Cited by 520
Cellular and Molecular Biology of Airway Mucins
(2013) · International Review of Cell and Molecular Biology · doi:10.1016/b978-0-12-407697-6.00004-0 · Cited by 189
Metadata
- Authors
- SAETTA, M., TURATO, G., BARALDO, S., ZANIN, A., BRACCIONI, F., MAPP, C. E., MAESTRELLI, P., CAVALLESCO, G., PAPI, A., & FABBRI, L. M.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-03-01
- Volume
- 161
- Issue
- 3
- Pages
- 1016-1021
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W1974431676
- Cited by
- 342
- References
- 0
- FWCI
- 8.87
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.