Data Mining of Lung Microbiota in Cystic Fibrosis Patients.

The major therapeutic strategy used to treat exacerbated cystic fibrosis (CF) is antibiotic treatment. As this approach easily generates antibiotic-resistant strains of opportunistic bacteria, optimized antibiotic therapies are required to effectively control chronic and recurrent bacterial infectio...

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Main Authors: Jianguo Li, Chunyan Hao, Lili Ren, Yan Xiao, Jianwei Wang, Xuemei Qin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5065158?pdf=render
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spelling doaj-6ce3a8e10b6d40718a24f7e50e2188fb2020-11-25T00:44:18ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011110e016451010.1371/journal.pone.0164510Data Mining of Lung Microbiota in Cystic Fibrosis Patients.Jianguo LiChunyan HaoLili RenYan XiaoJianwei WangXuemei QinThe major therapeutic strategy used to treat exacerbated cystic fibrosis (CF) is antibiotic treatment. As this approach easily generates antibiotic-resistant strains of opportunistic bacteria, optimized antibiotic therapies are required to effectively control chronic and recurrent bacterial infections in CF patients. A promising future for the proper use of antibiotics is the management of lung microbiota. However, the impact of antibiotic treatments on CF microbiota and vice versa is not fully understood. This study analyzed 718 sputum samples from 18 previous studies to identify differences between CF and uninfected lung microbiota and to evaluate the effects of antibiotic treatments on exacerbated CF microbiota. A reference-based OTU (operational taxonomic unit) picking method was used to combine analyses of data generated using different protocols and platforms. Findings show that CF microbiota had greater richness and lower diversity in the community structure than uninfected control (NIC) microbiota. Specifically, CF microbiota showed higher levels of opportunistic bacteria and dramatically lower levels of commensal bacteria. Antibiotic treatment affected exacerbated CF microbiota notably but only transiently during the treatment period. Limited decrease of the dominant opportunistic bacteria and a dramatic decrease of commensal bacteria were observed during the antibiotic treatment for CF exacerbation. Simultaneously, low abundance opportunistic bacteria were thriving after the antibiotic treatment. The inefficiency of the current antibiotic treatment against major opportunistic bacteria and the detrimental effects on commensal bacteria indicate that the current empiric antibiotic treatment on CF exacerbation should be reevaluated and optimized.http://europepmc.org/articles/PMC5065158?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jianguo Li
Chunyan Hao
Lili Ren
Yan Xiao
Jianwei Wang
Xuemei Qin
spellingShingle Jianguo Li
Chunyan Hao
Lili Ren
Yan Xiao
Jianwei Wang
Xuemei Qin
Data Mining of Lung Microbiota in Cystic Fibrosis Patients.
PLoS ONE
author_facet Jianguo Li
Chunyan Hao
Lili Ren
Yan Xiao
Jianwei Wang
Xuemei Qin
author_sort Jianguo Li
title Data Mining of Lung Microbiota in Cystic Fibrosis Patients.
title_short Data Mining of Lung Microbiota in Cystic Fibrosis Patients.
title_full Data Mining of Lung Microbiota in Cystic Fibrosis Patients.
title_fullStr Data Mining of Lung Microbiota in Cystic Fibrosis Patients.
title_full_unstemmed Data Mining of Lung Microbiota in Cystic Fibrosis Patients.
title_sort data mining of lung microbiota in cystic fibrosis patients.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description The major therapeutic strategy used to treat exacerbated cystic fibrosis (CF) is antibiotic treatment. As this approach easily generates antibiotic-resistant strains of opportunistic bacteria, optimized antibiotic therapies are required to effectively control chronic and recurrent bacterial infections in CF patients. A promising future for the proper use of antibiotics is the management of lung microbiota. However, the impact of antibiotic treatments on CF microbiota and vice versa is not fully understood. This study analyzed 718 sputum samples from 18 previous studies to identify differences between CF and uninfected lung microbiota and to evaluate the effects of antibiotic treatments on exacerbated CF microbiota. A reference-based OTU (operational taxonomic unit) picking method was used to combine analyses of data generated using different protocols and platforms. Findings show that CF microbiota had greater richness and lower diversity in the community structure than uninfected control (NIC) microbiota. Specifically, CF microbiota showed higher levels of opportunistic bacteria and dramatically lower levels of commensal bacteria. Antibiotic treatment affected exacerbated CF microbiota notably but only transiently during the treatment period. Limited decrease of the dominant opportunistic bacteria and a dramatic decrease of commensal bacteria were observed during the antibiotic treatment for CF exacerbation. Simultaneously, low abundance opportunistic bacteria were thriving after the antibiotic treatment. The inefficiency of the current antibiotic treatment against major opportunistic bacteria and the detrimental effects on commensal bacteria indicate that the current empiric antibiotic treatment on CF exacerbation should be reevaluated and optimized.
url http://europepmc.org/articles/PMC5065158?pdf=render
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