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10.1371/journal.pone.0172811 http://scihub22266oqcxt.onion/10.1371/journal.pone.0172811 C5333848!5333848!28253277     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2017 ; 12 (3): ä Nephropedia Template TP {{tp|p=28253277|t=2017. Longitudinal sampling of the lung microbiota in individuals with cystic fibrosis |pdf=|usr=}}{{28253277}} gab.com Text Longitudinal sampling of the lung microbiota in individuals with cystic fibrosis JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28253277 #FOAvip Cystic fibrosis (CF) manifests in the lungs resulting in chronic microbial infection. Most morbidity and mortality in CF is due to cycles of pulmonary exacerbations?episodes of acute inflammation in response to the lung microbiome?which are difficult to prevent and treat because their cause is not well understood. We hypothesized that longitudinal analyses of the bacterial component of the CF lung microbiome may elucidate causative agents within this community for pulmonary exacerbations. In this study, 6 participants were sampled thrice-weekly for up to one year. During sampling, sputum, and data (antibiotic usage, spirometry, and symptom scores) were collected. Time points were categorized based on relation to exacerbation as Stable, Intermediate, and Treatment. Retrospectively, a subset of were interrogated via 16S rRNA gene sequencing. When samples were examined categorically, a significant difference between the lung microbiota in Stable, Intermediate, and Treatment samples was observed in a subset of participants. However, when samples were examined longitudinally, no correlations between microbial composition and collected data (antibiotic usage, spirometry, and symptom scores) were observed upon exacerbation onset. In this study, we identified no universal indicator within the lung microbiome of exacerbation onset but instead showed that changes to the CF lung microbiome occur outside of acute pulmonary episodes and are patient-specific. Twit Text FOAVip Longitudinal sampling of the lung microbiota in individuals with cystic fibrosis ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=28253277 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28253277 #FOAvip English Wikipedia <ref>{{Cite pmid|28253277}}</ref> Longitudinal sampling of the lung microbiota in individuals with cystic fibrosis #MMPMID28253277 Whelan FJ; Heirali AA; Rossi L; Rabin HR; Parkins MD; Surette MG PLoS One 2017[]; 12 (3): ä PMID28253277show ga Cystic fibrosis (CF) manifests in the lungs resulting in chronic microbial infection. Most morbidity and mortality in CF is due to cycles of pulmonary exacerbations?episodes of acute inflammation in response to the lung microbiome?which are difficult to prevent and treat because their cause is not well understood. We hypothesized that longitudinal analyses of the bacterial component of the CF lung microbiome may elucidate causative agents within this community for pulmonary exacerbations. In this study, 6 participants were sampled thrice-weekly for up to one year. During sampling, sputum, and data (antibiotic usage, spirometry, and symptom scores) were collected. Time points were categorized based on relation to exacerbation as Stable, Intermediate, and Treatment. Retrospectively, a subset of were interrogated via 16S rRNA gene sequencing. When samples were examined categorically, a significant difference between the lung microbiota in Stable, Intermediate, and Treatment samples was observed in a subset of participants. However, when samples were examined longitudinally, no correlations between microbial composition and collected data (antibiotic usage, spirometry, and symptom scores) were observed upon exacerbation onset. In this study, we identified no universal indicator within the lung microbiome of exacerbation onset but instead showed that changes to the CF lung microbiome occur outside of acute pulmonary episodes and are patient-specific. äLongitudinal sampling of the lung microbiota in individuals with cysti(epmc).pdf DeepDyve Pubget Overpricing