ClinicalTrials.gov
public full text
Public Domain
Microbial Community Composition and Dynamics in Lungs of Cystic Fibrosis Sibling Pairs
The purpose of this study is to identify all the bacterial species present in the respiratory tracts of patients with Cystic Fibrosis (CF), and to connect them with clinical information. Traditional culture methods of throat swab and sputum samples can only identify the most prevalent bacteria in samples, those of which there are over about 5 million bacteria per teaspoon. A recently developed method has been found to be more sensitive and can detect up to several hundred bacterial species in throat swab or sputum sample of individual CF patients.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Sputum Validation for the Molecular Diagnosis of Respiratory Viral Infections in Cystic Fibrosis#845653
- Combating Diagnostic Wandering and Impasse for Cystic Fibrosis#803082
- Molecular Diagnosis of Respiratory Viral Infections on Sputum From Cystic Fibrosis Patients#1032010
- Patient-reported outcome measures developed for non-cystic fibrosis bronchiectasis may be applied to cystic fibrosis bronchiectasis.#213900
- Effect of Probiotics on Nasopharyngeal Microbiome of Children With Otitis Media With Effusion#861199
Record · ID 1421677
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive