The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Molecular Detection of Multiple Emerging Pathogens in Sputa from Cystic Fibrosis Patients
Open accessAbstract
BACKGROUND: There is strong evidence that culture-based methods detect only a small proportion of bacteria present in the respiratory tracts of cystic fibrosis (CF) patients. METHODOLOGY/PRINCIPAL FINDINGS: Standard microbiological culture and phenotypic identification of bacteria in sputa from CF patients have been compared to molecular methods by the use of 16S rDNA amplification, cloning and sequencing. Twenty-five sputa from CF patients were cultured that yield 33 isolates (13 species) known to be pathogens during CF. For molecular cloning, 760 clones were sequenced (7.2+/-3.9 species/sputum), and 53 different bacterial species were identified including 16 species of anaerobes (30%). Discrepancies between culture and molecular data were numerous and demonstrate that accurate identification remains challenging. New or emerging bacteria not or rarely reported in CF patients were detected including Dolosigranulum pigrum, Dialister pneumosintes, and Inquilinus limosus. CONCLUSIONS/SIGNIFICANCE: Our results demonstrate the complex microbial community in sputa from CF patients, especially anaerobic bacteria that are probably an underestimated cause of CF lung pathology. Metagenomic analysis is urgently needed to better understand those complex communities in CF pulmonary infections.
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
Identification of the Cystic Fibrosis Gene: Cloning and Characterization of Complementary DNA
Riordan, J. R., Rommens, J. M., Kerem, B.-S., Alon, N., Rozmahel, R., Grzelczak, Z., Zielenski, J., Lok, S., Plavsic, N., Chou, J.-L., et al. (1989) · Science · doi:10.1126/science.2475911 · Cited by 7,418
Defining the normal bacterial flora of the oral cavity
Aas, J. A., Paster, B. J., Stokes, L. N., Olsen, I., & Dewhirst, F. E. (2005) · Journal of Clinical Microbiology · doi:10.1128/jcm.43.11.5721-5732.2005 · Cited by 3,092
Bahrani-Mougeot, F. K., Paster, B. J., Coleman, S., Barbuto, S., Brennan, M. T., Noll, J., Kennedy, T., Fox, P. C., & Lockhart, P. B. (2007) · Journal of Clinical Microbiology · doi:10.1128/jcm.01963-06 · Cited by 176
Cited by
Airway Microbiota and Pathogen Abundance in Age-Stratified Cystic Fibrosis Patients
Cox, M. J., Allgaier, M., Taylor, B., Baek, M. S., Huang, Y. J., Daly, R. A., Karaoz, U., Andersen, G. L., Brown, R., Fujimura, K. E., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011044 · Cited by 451
Fungal allergy in asthma-state of the art and research needs
Denning, D. W., Pashley, C., Hartl, D., Wardlaw, A., Godet, C., Del Giacco, S., Delhaes, L., & Sergejeva, S. (2014) · Clinical and Translational Allergy · doi:10.1186/2045-7022-4-14 · Cited by 357
Fodor, A. A., Klem, E. R., Gilpin, D. F., Elborn, J. S., Boucher, R. C., Tunney, M. M., & Wolfgang, M. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045001 · Cited by 353
Delhaes, L., Monchy, S., Fréalle, E., Hubans, C., Salleron, J., Leroy, S., Prevotat, A., Wallet, F., Wallaert, B., Dei-Cas, E., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036313 · Cited by 347
The lung mycobiome: an emerging field of the human respiratory microbiome
Nguyen, L. D. N., Viscogliosi, E., & Delhaes, L. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00089 · Cited by 260
Metadata
- Authors
- Bittar, F., Richet, H., Dubus, J.-C., Reynaud-Gaubert, M., Stremler, N., Sarles, J., Raoult, D., & Rolain, J.-M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-08-06
- Volume
- 3
- Issue
- 8
- Pages
- e2908
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1994712122
- Cited by
- 224
- References
- 3
- FWCI
- 18.64
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Molecular Detection of Multiple Emerging Pathogens in Sputa from Cystic Fibrosis Patients. https://app.cochat.ai/papers/10.1371/journal.pone.0002908
- The paper
- Bittar, F., Richet, H., Dubus, J.-C., Reynaud-Gaubert, M., Stremler, N., Sarles, J., Raoult, D., & Rolain, J.-M. (2008). Molecular Detection of Multiple Emerging Pathogens in Sputa from Cystic Fibrosis Patients. PLoS ONE. https://doi.org/10.1371/journal.pone.0002908
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.