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Cited by 136Chronic Obstructive Pulmonary Disease (COPD) ResearchCystic Fibrosis Research AdvancesOral microbiology and periodontitis research

The DOI matches its Crossref record; 56 of the 57 references it cites were found in a registry or an index.

Bronchial microbiome of severe COPD patients colonised by Pseudomonas aeruginosa

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Millares, L., Ferrari, R., Gallego, M., Garcia-Nuñez, M., Pérez-Brocal, V., Espasa, M., Pomares, X., Monton, C., Moya, A., Monsó, E.·2014·European Journal of Clinical Microbiology & Infectious Diseases
DOI 10.1007/s10096-013-2044-0PMC PMC4042013
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Abstract

The bronchial microbiome in severe COPD during stability and exacerbation in patients chronically colonised by Pseudomonas aeruginosa (PA), has not been defined. Our objective was to determine the characteristics of the bronchial microbiome of severe COPD patients colonised and not colonised by P. aeruginosa and its changes during exacerbation. COPD patients with severe disease and frequent exacerbations were categorised according to chronic colonisation by P. aeruginosa. Sputum samples were obtained in stability and exacerbation, cultured, and analysed by 16S rRNA gene amplification and pyrosequencing. Sixteen patients were included, 5 of them showing chronic colonisation by P. aeruginosa. Pseudomonas genus had significantly higher relative abundance in stable colonised patients (p = 0.019), but no significant differences in biodiversity parameters were found between the two groups (Shannon, 3 (2-4) vs 3 (2-3), p = 0.699; Chao1, 124 (77-159) vs 140 (115-163), p = 0.364). In PA-colonised patients bronchial microbiome changed to a microbiome similar to non-PA-colonised patients during exacerbations. An increase in the relative abundance over 20 % during exacerbation was found for Streptococcus, Pseudomonas, Moraxella, Haemophilus, Neisseria, Achromobacter and Corynebacterium genera, which include recognised potentially pathogenic microorganisms, in 13 patients colonised and not colonised by P. aeruginosa with paired samples. These increases were not identified by culture in 5 out of 13 participants (38.5 %). Stable COPD patients with severe disease and PA-colonised showed a similar biodiversity to non-PA-colonised patients, with a higher relative abundance of Pseudomonas genus in bronchial secretions. Exacerbation in severe COPD patients showed the same microbial pattern, independently of previous colonisation by P. aeruginosa.

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Fig. 1 Relative abundance of Pseudomonas genus a under stability and b during exacerbation in PA-colonised and non-PA-colonised patients. Solid line represents the mean and dashed line the median
Fig. 1 Relative abundance of Pseudomonas genus a under stability and b during exacerbation in PA-colonised and non-PA-colonised patients. Solid line represents the mean and dashed line the medianCC BY · PubMed Central
Fig. 2 Principal coordinate analysis with Bray–Curtis dissimilarity index. a Samples from stability and b samples of exacerbation. Red dots represent colonised patients, and blue dots non-PA-colonised patients
Fig. 2 Principal coordinate analysis with Bray–Curtis dissimilarity index. a Samples from stability and b samples of exacerbation. Red dots represent colonised patients, and blue dots non-PA-colonised patientsCC BY · PubMed Central
Fig. 3 Cluster dendrogram with Bray–Curtis dissimilarity index. Samples were combined depending on their clinical situation and clustered with the Bray–Curtis index, which takes values between 0 and 1 (0 meaning that samples share all the genera and 1 meaning samples do not share any). PS colonised by P. aeruginosa under stability; PE colonised by P. aeruginosa during exacerbation; S non-colonised by P. aeruginosa under stability; E non-colonised by P. aeruginosa during exacerbation)
Fig. 3 Cluster dendrogram with Bray–Curtis dissimilarity index. Samples were combined depending on their clinical situation and clustered with the Bray–Curtis index, which takes values between 0 and 1 (0 meaning that samples share all the genera and 1 meaning samples do not share any). PS colonised by P. aeruginosa under stability; PE colonised by P. aeruginosa during exacerbation; S non-colonised by P. aeruginosa under stability; E non-colonised by P. aeruginosa during exacerbation)CC BY · PubMed Central
Fig. 4 Heat map showing the most abundant genera in the four groups of samples. Columns represent the groups and rows the genera whose relative abundance is >1 % in at least one sample. The relative abundance of each genus is represented by the colour key
Fig. 4 Heat map showing the most abundant genera in the four groups of samples. Columns represent the groups and rows the genera whose relative abundance is >1 % in at least one sample. The relative abundance of each genus is represented by the colour keyCC BY · PubMed Central
Fig. 5 Percentage of change in the relative abundance of genera. Only genera with a percentage of change over 20 % in at least one patient are represented. a Percentage of variability in the genera observed in consecutive samples recovered in stable situation (n = 2); b Percentage of variability in exacerbation in patients colonised by P. aeruginosa using the baseline stability sample as the reference (n = 5); c Percentage of variability in exacerbation in non-PA-colonised patients (n = 7). Dark blue: Neisseria; orange: Achromobacter; purple: Streptococcus; light blue: Pseudomonas; green: Moraxella; pink: Haemophilus; grey: Corynebacterium
Fig. 5 Percentage of change in the relative abundance of genera. Only genera with a percentage of change over 20 % in at least one patient are represented. a Percentage of variability in the genera observed in consecutive samples recovered in stable situation (n = 2); b Percentage of variability in exacerbation in patients colonised by P. aeruginosa using the baseline stability sample as the reference (n = 5); c Percentage of variability in exacerbation in non-PA-colonised patients (n = 7). Dark blue: Neisseria; orange: Achromobacter; purple: Streptococcus; light blue: Pseudomonas; green: Moraxella; pink: Haemophilus; grey: CorynebacteriumCC BY · PubMed Central

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Metadata

Authors
Millares, L., Ferrari, R., Gallego, M., Garcia-Nuñez, M., Pérez-Brocal, V., Espasa, M., Pomares, X., Monton, C., Moya, A., & Monsó, E.
Affiliations
  • Universitat de València (ES)
  • Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
  • Corporació Sanitària Parc Taulí (ES)
  • Universitat Autònoma de Barcelona (ES)
Corresponding author
Monsó, E.
ORCID
Venue
European Journal of Clinical Microbiology & Infectious Diseases
Publisher
Springer Science and Business Media LLC
Published
2014-01-22
Volume
33
Issue
7
Pages
1101-1111
ISSN
  • 0934-9723 (ISSN-L)
  • 1435-4373
DOI
10.1007/s10096-013-2044-0
PMC
PMC4042013
OpenAlex
W2069385595
Cited by
136
References
57
Citations by year
2026: 3 · 2025: 4 · 2024: 14 · 2023: 8 · 2022: 16 · 2021: 9 · 2020: 12 · 2019: 14 · 2018: 15 · 2017: 16 · 2016: 13 · 2015: 8 · 2014: 4
FWCI
10.94
Type
journal article
Language
en
Open access
Licence
Locations
  • European Journal of Clinical Microbiology & Infectious Diseases (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Ministerio de Economía y Competitividad (SAF2012, SAF 2012-31187)
  • Generalitat Valenciana (Prometeo/2009/092)
  • Sociedad Española de Neumología y Cirugía Torácica
  • Instituto de Salud Carlos III (Marató de TV3)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cystic Fibrosis Research Advances
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
chronic obstructive pulmonary disease, COPD exacerbations, sputum microbiota, bacterial diversity, potentially pathogenic microorganisms, Streptococcus, Moraxella, Haemophilus, Neisseria, Corynebacterium, Achromobacter
MeSH terms
Aged, Aged, 80 and over, Bronchi, DNA, Bacterial, DNA, Ribosomal, Female, Humans, Male, Middle Aged, Molecular Sequence Data, Phylogeny, RNA, Ribosomal, 16S, Sputum, Cohort Studies, Cluster Analysis, Sequence Analysis, DNA, Pulmonary Disease, Chronic Obstructive, Microbiota

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