Cargando…

Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin

Diabetic foot infections (DFIs) represent a frequent complication of diabetes and a major cause of amputations. This study aimed to evaluate the utility of 16S rRNA gene sequencing for the rapid microbiological diagnosis of DFIs and to consistently characterize the microbiome of chronic diabetic foo...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Ying, Xiao, Zhizhou, Cao, Ying, Gao, Fang, Fu, Yingyu, Zou, Mengchen, Luo, Xiangrong, Jiang, Ya, Xue, Yaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582933/
https://www.ncbi.nlm.nih.gov/pubmed/36274710
http://dx.doi.org/10.3389/fmicb.2022.1021955
_version_ 1784812957177217024
author Huang, Ying
Xiao, Zhizhou
Cao, Ying
Gao, Fang
Fu, Yingyu
Zou, Mengchen
Luo, Xiangrong
Jiang, Ya
Xue, Yaoming
author_facet Huang, Ying
Xiao, Zhizhou
Cao, Ying
Gao, Fang
Fu, Yingyu
Zou, Mengchen
Luo, Xiangrong
Jiang, Ya
Xue, Yaoming
author_sort Huang, Ying
collection PubMed
description Diabetic foot infections (DFIs) represent a frequent complication of diabetes and a major cause of amputations. This study aimed to evaluate the utility of 16S rRNA gene sequencing for the rapid microbiological diagnosis of DFIs and to consistently characterize the microbiome of chronic diabetic foot ulcers (DFUs) and intact skin. Wound samples were collected by ulcer swabbing and tissue biopsy, and paired swabs of intact skin were collected from 10 patients with DFIs (five were moderately infected, and the other five were severely infected). Samples were analyzed by conventional culture and using Personal Genome Machine (PGM) 16S rRNA sequencing technology. The results showed that PGM technology detected significantly more bacterial genera (66.1 vs. 1.5 per wound sample, p < 0.001); more obligate anaerobes (52.5 vs. 0%, p < 0.001) and more polymicrobial infections (100.0 vs. 55.0%, p < 0.01) than conventional cultures. There was no statistically significant difference in bacterial richness, diversity or composition between the wound swabs and tissues (p > 0.05). The bacterial community on intact skin was significantly more diverse than that in DFUs (Chao1 value, p < 0.05; Shannon index value, p < 0.001). Gram-positive bacteria (67.6%) and aerobes (59.2%) were predominant in contralateral intact skin, while Gram-negative bacteria (63.3%) and obligate anaerobes (50.6%) were the most ubiquitous in DFUs. The most differentially abundant taxon in skin was Bacillales, while Bacteroidia was the bacterial taxon most representative of DFUs. Moreover, Fusobacterium (ρ = 0.80, p < 0.01) and Proteus (ρ = 0.78, p < 0.01) were significantly correlated with the duration of DFIs. In conclusion, PGM 16S rRNA sequencing technology could be a potentially useful technique for the rapid microbiological diagnosis of DFIs. Wound swabbing may be sufficient for sampling bacterial pathogens in DFIs compared with biopsy which is an invasive technique. The empirical use of broad-spectrum antibiotics covering Gram-negative obligate anaerobes should be considered for the treatment of moderate or severe DFIs.
format Online
Article
Text
id pubmed-9582933
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95829332022-10-21 Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin Huang, Ying Xiao, Zhizhou Cao, Ying Gao, Fang Fu, Yingyu Zou, Mengchen Luo, Xiangrong Jiang, Ya Xue, Yaoming Front Microbiol Microbiology Diabetic foot infections (DFIs) represent a frequent complication of diabetes and a major cause of amputations. This study aimed to evaluate the utility of 16S rRNA gene sequencing for the rapid microbiological diagnosis of DFIs and to consistently characterize the microbiome of chronic diabetic foot ulcers (DFUs) and intact skin. Wound samples were collected by ulcer swabbing and tissue biopsy, and paired swabs of intact skin were collected from 10 patients with DFIs (five were moderately infected, and the other five were severely infected). Samples were analyzed by conventional culture and using Personal Genome Machine (PGM) 16S rRNA sequencing technology. The results showed that PGM technology detected significantly more bacterial genera (66.1 vs. 1.5 per wound sample, p < 0.001); more obligate anaerobes (52.5 vs. 0%, p < 0.001) and more polymicrobial infections (100.0 vs. 55.0%, p < 0.01) than conventional cultures. There was no statistically significant difference in bacterial richness, diversity or composition between the wound swabs and tissues (p > 0.05). The bacterial community on intact skin was significantly more diverse than that in DFUs (Chao1 value, p < 0.05; Shannon index value, p < 0.001). Gram-positive bacteria (67.6%) and aerobes (59.2%) were predominant in contralateral intact skin, while Gram-negative bacteria (63.3%) and obligate anaerobes (50.6%) were the most ubiquitous in DFUs. The most differentially abundant taxon in skin was Bacillales, while Bacteroidia was the bacterial taxon most representative of DFUs. Moreover, Fusobacterium (ρ = 0.80, p < 0.01) and Proteus (ρ = 0.78, p < 0.01) were significantly correlated with the duration of DFIs. In conclusion, PGM 16S rRNA sequencing technology could be a potentially useful technique for the rapid microbiological diagnosis of DFIs. Wound swabbing may be sufficient for sampling bacterial pathogens in DFIs compared with biopsy which is an invasive technique. The empirical use of broad-spectrum antibiotics covering Gram-negative obligate anaerobes should be considered for the treatment of moderate or severe DFIs. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9582933/ /pubmed/36274710 http://dx.doi.org/10.3389/fmicb.2022.1021955 Text en Copyright © 2022 Huang, Xiao, Cao, Gao, Fu, Zou, Luo, Jiang and Xue. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Huang, Ying
Xiao, Zhizhou
Cao, Ying
Gao, Fang
Fu, Yingyu
Zou, Mengchen
Luo, Xiangrong
Jiang, Ya
Xue, Yaoming
Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin
title Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin
title_full Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin
title_fullStr Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin
title_full_unstemmed Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin
title_short Rapid microbiological diagnosis based on 16S rRNA gene sequencing: A comparison of bacterial composition in diabetic foot infections and contralateral intact skin
title_sort rapid microbiological diagnosis based on 16s rrna gene sequencing: a comparison of bacterial composition in diabetic foot infections and contralateral intact skin
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582933/
https://www.ncbi.nlm.nih.gov/pubmed/36274710
http://dx.doi.org/10.3389/fmicb.2022.1021955
work_keys_str_mv AT huangying rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT xiaozhizhou rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT caoying rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT gaofang rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT fuyingyu rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT zoumengchen rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT luoxiangrong rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT jiangya rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin
AT xueyaoming rapidmicrobiologicaldiagnosisbasedon16srrnagenesequencingacomparisonofbacterialcompositionindiabeticfootinfectionsandcontralateralintactskin