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Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics
BACKGROUND: While a subgroup of patients with exacerbations of chronic obstructive pulmonary disease (COPD) clearly benefit from antibiotics, their identification remains challenging. We hypothesised that selective assessment of the balance between the two dominant bacterial groups (Gammaproteobacte...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571965/ https://www.ncbi.nlm.nih.gov/pubmed/28841671 http://dx.doi.org/10.1371/journal.pone.0182833 |
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author | Haldar, Koirobi Bafadhel, Mona Lau, Kelvin Berg, Adam Kwambana, Brenda Kebadze, Tatiana Ramsheh, Mohammadali Yavari Barker, Bethan Haldar, Pranabashis Johnston, Sebastian Ketley, Julian M. Brightling, Christopher E. Barer, Michael R. |
author_facet | Haldar, Koirobi Bafadhel, Mona Lau, Kelvin Berg, Adam Kwambana, Brenda Kebadze, Tatiana Ramsheh, Mohammadali Yavari Barker, Bethan Haldar, Pranabashis Johnston, Sebastian Ketley, Julian M. Brightling, Christopher E. Barer, Michael R. |
author_sort | Haldar, Koirobi |
collection | PubMed |
description | BACKGROUND: While a subgroup of patients with exacerbations of chronic obstructive pulmonary disease (COPD) clearly benefit from antibiotics, their identification remains challenging. We hypothesised that selective assessment of the balance between the two dominant bacterial groups (Gammaproteobacteria (G) and Firmicutes (F)) in COPD sputum samples might reveal a subgroup with a bacterial community structure change at exacerbation that was restored to baseline on recovery and potentially reflects effective antibiotic treatment. METHODS: Phylogenetically specific 16S rRNA genes were determined by quantitative real time PCR to derive a G:F ratio in serial sputum samples from 66 extensively-phenotyped COPD exacerbation episodes. RESULTS: Cluster analysis based on Euclidean distance measures, generated across the 4 visit times (stable and exacerbation day: 0,14 and 42) for the 66 exacerbation episodes, revealed three subgroups designated HG, HF, and GF reflecting predominance or equivalence of the two target bacterial groups. While the other subgroups showed no change at exacerbation, the HG cluster (n = 20) was characterized by G:F ratios that increased significantly at exacerbation and returned to baseline on recovery (p<0.00001); ratios in the HG group also correlated positively with inflammatory markers and negatively with FEV(1). At exacerbation G:F showed a significant receiver-operator-characteristic curve to identify the HG subgroup (AUC 0.90, p<0.0001). CONCLUSIONS: The G:F ratio at exacerbation can be determined on a timescale compatible with decisions regarding clinical management. We propose that the G:F ratio has potential for use as a biomarker enabling selective use of antibiotics in COPD exacerbations and hence warrants further clinical evaluation. |
format | Online Article Text |
id | pubmed-5571965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55719652017-09-09 Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics Haldar, Koirobi Bafadhel, Mona Lau, Kelvin Berg, Adam Kwambana, Brenda Kebadze, Tatiana Ramsheh, Mohammadali Yavari Barker, Bethan Haldar, Pranabashis Johnston, Sebastian Ketley, Julian M. Brightling, Christopher E. Barer, Michael R. PLoS One Research Article BACKGROUND: While a subgroup of patients with exacerbations of chronic obstructive pulmonary disease (COPD) clearly benefit from antibiotics, their identification remains challenging. We hypothesised that selective assessment of the balance between the two dominant bacterial groups (Gammaproteobacteria (G) and Firmicutes (F)) in COPD sputum samples might reveal a subgroup with a bacterial community structure change at exacerbation that was restored to baseline on recovery and potentially reflects effective antibiotic treatment. METHODS: Phylogenetically specific 16S rRNA genes were determined by quantitative real time PCR to derive a G:F ratio in serial sputum samples from 66 extensively-phenotyped COPD exacerbation episodes. RESULTS: Cluster analysis based on Euclidean distance measures, generated across the 4 visit times (stable and exacerbation day: 0,14 and 42) for the 66 exacerbation episodes, revealed three subgroups designated HG, HF, and GF reflecting predominance or equivalence of the two target bacterial groups. While the other subgroups showed no change at exacerbation, the HG cluster (n = 20) was characterized by G:F ratios that increased significantly at exacerbation and returned to baseline on recovery (p<0.00001); ratios in the HG group also correlated positively with inflammatory markers and negatively with FEV(1). At exacerbation G:F showed a significant receiver-operator-characteristic curve to identify the HG subgroup (AUC 0.90, p<0.0001). CONCLUSIONS: The G:F ratio at exacerbation can be determined on a timescale compatible with decisions regarding clinical management. We propose that the G:F ratio has potential for use as a biomarker enabling selective use of antibiotics in COPD exacerbations and hence warrants further clinical evaluation. Public Library of Science 2017-08-25 /pmc/articles/PMC5571965/ /pubmed/28841671 http://dx.doi.org/10.1371/journal.pone.0182833 Text en © 2017 Haldar et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Haldar, Koirobi Bafadhel, Mona Lau, Kelvin Berg, Adam Kwambana, Brenda Kebadze, Tatiana Ramsheh, Mohammadali Yavari Barker, Bethan Haldar, Pranabashis Johnston, Sebastian Ketley, Julian M. Brightling, Christopher E. Barer, Michael R. Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics |
title | Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics |
title_full | Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics |
title_fullStr | Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics |
title_full_unstemmed | Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics |
title_short | Microbiome balance in sputum determined by PCR stratifies COPD exacerbations and shows potential for selective use of antibiotics |
title_sort | microbiome balance in sputum determined by pcr stratifies copd exacerbations and shows potential for selective use of antibiotics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571965/ https://www.ncbi.nlm.nih.gov/pubmed/28841671 http://dx.doi.org/10.1371/journal.pone.0182833 |
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