Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.

<h4>Background</h4>Bacterial colonization is hypothesized to play a pathogenic role in the non-healing state of chronic wounds. We characterized wound bacteria from a cohort of chronic wound patients using a 16S rRNA gene-based pyrosequencing approach and assessed the impact of diabetes...

Full description

Bibliographic Details
Main Authors: Lance B Price, Cindy M Liu, Johan H Melendez, Yelena M Frankel, David Engelthaler, Maliha Aziz, Jolene Bowers, Rogan Rattray, Jacques Ravel, Chris Kingsley, Paul S Keim, Gerald S Lazarus, Jonathan M Zenilman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-07-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19649281/?tool=EBI
id doaj-1ffe18b194f74ecf9103a1faefa29437
record_format Article
spelling doaj-1ffe18b194f74ecf9103a1faefa294372021-03-03T22:36:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032009-07-0147e646210.1371/journal.pone.0006462Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.Lance B PriceCindy M LiuJohan H MelendezYelena M FrankelDavid EngelthalerMaliha AzizJolene BowersRogan RattrayJacques RavelChris KingsleyPaul S KeimGerald S LazarusJonathan M Zenilman<h4>Background</h4>Bacterial colonization is hypothesized to play a pathogenic role in the non-healing state of chronic wounds. We characterized wound bacteria from a cohort of chronic wound patients using a 16S rRNA gene-based pyrosequencing approach and assessed the impact of diabetes and antibiotics on chronic wound microbiota.<h4>Methodology/principal findings</h4>We prospectively enrolled 24 patients at a referral wound center in Baltimore, MD; sampled patients' wounds by curette; cultured samples under aerobic and anaerobic conditions; and pyrosequenced the 16S rRNA V3 hypervariable region. The 16S rRNA gene-based analyses revealed an average of 10 different bacterial families in wounds--approximately 4 times more than estimated by culture-based analyses. Fastidious anaerobic bacteria belonging to the Clostridiales family XI were among the most prevalent bacteria identified exclusively by 16S rRNA gene-based analyses. Community-scale analyses showed that wound microbiota from antibiotic treated patients were significantly different from untreated patients (p = 0.007) and were characterized by increased Pseudomonadaceae abundance. These analyses also revealed that antibiotic use was associated with decreased Streptococcaceae among diabetics and that Streptococcaceae was more abundant among diabetics as compared to non-diabetics.<h4>Conclusions/significance</h4>The 16S rRNA gene-based analyses revealed complex bacterial communities including anaerobic bacteria that may play causative roles in the non-healing state of some chronic wounds. Our data suggest that antimicrobial therapy alters community structure--reducing some bacteria while selecting for others.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19649281/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Lance B Price
Cindy M Liu
Johan H Melendez
Yelena M Frankel
David Engelthaler
Maliha Aziz
Jolene Bowers
Rogan Rattray
Jacques Ravel
Chris Kingsley
Paul S Keim
Gerald S Lazarus
Jonathan M Zenilman
spellingShingle Lance B Price
Cindy M Liu
Johan H Melendez
Yelena M Frankel
David Engelthaler
Maliha Aziz
Jolene Bowers
Rogan Rattray
Jacques Ravel
Chris Kingsley
Paul S Keim
Gerald S Lazarus
Jonathan M Zenilman
Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.
PLoS ONE
author_facet Lance B Price
Cindy M Liu
Johan H Melendez
Yelena M Frankel
David Engelthaler
Maliha Aziz
Jolene Bowers
Rogan Rattray
Jacques Ravel
Chris Kingsley
Paul S Keim
Gerald S Lazarus
Jonathan M Zenilman
author_sort Lance B Price
title Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.
title_short Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.
title_full Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.
title_fullStr Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.
title_full_unstemmed Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.
title_sort community analysis of chronic wound bacteria using 16s rrna gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2009-07-01
description <h4>Background</h4>Bacterial colonization is hypothesized to play a pathogenic role in the non-healing state of chronic wounds. We characterized wound bacteria from a cohort of chronic wound patients using a 16S rRNA gene-based pyrosequencing approach and assessed the impact of diabetes and antibiotics on chronic wound microbiota.<h4>Methodology/principal findings</h4>We prospectively enrolled 24 patients at a referral wound center in Baltimore, MD; sampled patients' wounds by curette; cultured samples under aerobic and anaerobic conditions; and pyrosequenced the 16S rRNA V3 hypervariable region. The 16S rRNA gene-based analyses revealed an average of 10 different bacterial families in wounds--approximately 4 times more than estimated by culture-based analyses. Fastidious anaerobic bacteria belonging to the Clostridiales family XI were among the most prevalent bacteria identified exclusively by 16S rRNA gene-based analyses. Community-scale analyses showed that wound microbiota from antibiotic treated patients were significantly different from untreated patients (p = 0.007) and were characterized by increased Pseudomonadaceae abundance. These analyses also revealed that antibiotic use was associated with decreased Streptococcaceae among diabetics and that Streptococcaceae was more abundant among diabetics as compared to non-diabetics.<h4>Conclusions/significance</h4>The 16S rRNA gene-based analyses revealed complex bacterial communities including anaerobic bacteria that may play causative roles in the non-healing state of some chronic wounds. Our data suggest that antimicrobial therapy alters community structure--reducing some bacteria while selecting for others.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19649281/?tool=EBI
work_keys_str_mv AT lancebprice communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT cindymliu communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT johanhmelendez communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT yelenamfrankel communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT davidengelthaler communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT malihaaziz communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT jolenebowers communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT roganrattray communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT jacquesravel communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT chriskingsley communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT paulskeim communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT geraldslazarus communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
AT jonathanmzenilman communityanalysisofchronicwoundbacteriausing16srrnagenebasedpyrosequencingimpactofdiabetesandantibioticsonchronicwoundmicrobiota
_version_ 1714812344482136064