The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Asthma-associated differences in microbial composition of induced sputum
Open accessAbstract
Background It is increasingly evident that microbial colonization of the respiratory tract might have a role in the pathogenesis of asthma. Objective We sought to characterize and compare the microbiome of induced sputum in asthmatic and nonasthmatic adults. Methods Induced sputum samples were obtained from 10 nonasthmatic subjects and 10 patients with mild active asthma (8/10 were not using inhaled corticosteroids). Total DNA was extracted from sputum supernatants and amplified by using primers specific for the V6 hypervariable region of bacterial 16s rRNA. Samples were barcoded, and equimolar concentrations of 20 samples were pooled and sequenced with the 454 GS FLX sequencer. Sequences were assigned to bacterial taxa by comparing them with 16s rRNA sequences in the Ribosomal Database Project. Results All sputum samples contained 5 major bacterial phyla: Firmicutes, Proteobacteria, Actinobacteria, Fusobacterium, and Bacteroidetes, with the first 3 phyla accounting for more than 90% of the total sequences. Proteobacteria were present in higher proportions in asthmatic patients (37% vs 15%, P < .001). In contrast, Firmicutes (47% vs 63%, P = .17) and Actinobacteria (10% vs 14%, P = .36) were found more frequently in samples from nonasthmatic subjects, although this was not statistically significant. Hierarchical clustering produced 2 significant clusters: one contained primarily asthmatic samples and the second contained primarily nonasthmatic samples. In addition, samples from asthmatic patients had greater bacterial diversity compared with samples from nonasthmatic subjects. Conclusion Patients with mild asthma have an altered microbial composition in the respiratory tract that is similar to that observed in patients with more severe asthma.
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
Cites
Innate immunity and intestinal microbiota in the development of Type 1 diabetes
Wen, L., Ley, R. E., Volchkov, P. Y., Stranges, P. B., Avanesyan, L., Stonebraker, A. C., Hu, C., Wong, F. S., Szot, G. L., Bluestone, J. A., et al. (2008) · Nature · doi:10.1038/nature07336 · Cited by 1,921
Topographical Continuity of Bacterial Populations in the Healthy Human Respiratory Tract
Charlson, E. S., Bittinger, K., Haas, A. R., Fitzgerald, A. S., Frank, I., Yadav, A., Bushman, F. D., & Collman, R. G. (2011) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201104-0655oc · Cited by 1,144
Willing, B. P., Dicksved, J., Halfvarson, J., Andersson, A. F., Lucio, M., Zheng, Z., Järnerot, G., Tysk, C., Jansson, J. K., & Engstrand, L. (2010) · Gastroenterology · doi:10.1053/j.gastro.2010.08.049 · Cited by 1,032
The Effect of Telithromycin in Acute Exacerbations of Asthma
Johnston, S. L., Blasi, F., Black, P. N., Martin, R. J., Farrell, D. J., & Nieman, R. B. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa044080 · Cited by 288
Cited by
Plastic and Human Health: A Micro Issue?
Wright, S. L., & Kelly, F. J. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b00423 · Cited by 3,413
The Microbiome and the Respiratory Tract
Dickson, R. P., Erb-Downward, J. R., Martinez, F. J., & Huffnagle, G. B. (2016) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105238 · Cited by 953
Teo, S. M., Mok, D., Pham, K., Kusel, M., Serralha, M., Troy, N., Holt, B. J., Hales, B. J., Walker, M. L., Hollams, E., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.03.008 · Cited by 953
The role of the microbiome in exacerbations of chronic lung diseases
Dickson, R. P., Martinez, F. J., & Huffnagle, G. B. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61136-3 · Cited by 495
Self-citationHaahtela, T. (2019) · Allergy · doi:10.1111/all.13763 · Cited by 407
Metadata
- Authors
- Marri, P. R., Stern, D. A., Wright, A. L., Billheimer, D., & Martinez, F. D.
- Venue
- Journal of Allergy and Clinical Immunology
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 131
- Issue
- 2
- Pages
- 346-352.e3
- ISSN
- 0091-6749 (ISSN-L)
- OpenAlex
- W2095389688
- Cited by
- 380
- References
- 4
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- bronze
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.