Changes in the lung bacteriome in relation to antipseudomonal therapy in children with cystic fibrosis
Language English Country United States Media print-electronic
Document type Journal Article
Grant support
400213
Grantová Agentura, Univerzita Karlova
PubMed
29127619
DOI
10.1007/s12223-017-0562-3
PII: 10.1007/s12223-017-0562-3
Knihovny.cz E-resources
- MeSH
- Anti-Bacterial Agents administration & dosage MeSH
- Bacteria classification drug effects genetics isolation & purification MeSH
- Cystic Fibrosis drug therapy microbiology MeSH
- Child MeSH
- DNA, Bacterial genetics MeSH
- Humans MeSH
- Microbiota drug effects MeSH
- Adolescent MeSH
- Lung microbiology MeSH
- Pseudomonas Infections drug therapy microbiology MeSH
- Pseudomonas aeruginosa drug effects genetics isolation & purification physiology MeSH
- RNA, Ribosomal, 16S genetics MeSH
- Sputum microbiology MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Anti-Bacterial Agents MeSH
- DNA, Bacterial MeSH
- RNA, Ribosomal, 16S MeSH
The lung in cystic fibrosis (CF) is home to numerous pathogens that shorten the lives of patients. The aim of the present study was to assess changes in the lung bacteriome following antibiotic therapy targeting Pseudomonas aeruginosa in children with CF. The study included nine children (9-18 years) with CF who were treated for their chronic or intermittent positivity for Pseudomonas aeruginosa. The bacteriomes were determined in 16 pairs of sputa collected at the beginning and at the end of a course of intravenous antibiotic therapy via deep sequencing of the variable region 4 of the 16S rRNA gene, and the total bacterial load and selected specific pathogens were assessed using quantitative real-time PCR. The effect of antipseudomonal antibiotics was observable as a profound decrease in the total 16S rDNA load (p = 0.001) as well as in a broad range of individual taxa including Staphylococcus aureus (p = 0.03) and several members of the Streptococcus mitis group (S. oralis, S. mitis, and S. infantis) (p = 0.003). Improvements in forced expiratory volume (FEV1) were associated with an increase in Granulicatella sp. (p = 0.004), whereas a negative association was noted between the total bacterial load and white blood cell count (p = 0.007). In conclusion, the data show how microbial communities differ in reaction to antipseudomonal treatment, suggesting that certain rare species may be associated with clinical parameters. Our work also demonstrates the utility of absolute quantification of bacterial load in addition to the 16S rDNA profiling.
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