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Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis

BACKGROUND: Pathogens identification is critical for the proper diagnosis and precise treatment of infective endocarditis (IE). Although blood and valve cultures are the gold standard for IE pathogens detection, many cases are culture-negative, especially in patients who had received long-term antib...

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Autores principales: Cheng, Jun, Hu, Huan, Kang, Yue, Chen, Weizhi, Fang, Wei, Wang, Kaijuan, Zhang, Qian, Fu, Aisi, Zhou, Shuilian, Cheng, Chen, Cao, Qingqing, Wang, Feiyan, Lee, Shela, Zhou, Zhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300891/
https://www.ncbi.nlm.nih.gov/pubmed/30567558
http://dx.doi.org/10.1186/s12941-018-0294-5
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author Cheng, Jun
Hu, Huan
Kang, Yue
Chen, Weizhi
Fang, Wei
Wang, Kaijuan
Zhang, Qian
Fu, Aisi
Zhou, Shuilian
Cheng, Chen
Cao, Qingqing
Wang, Feiyan
Lee, Shela
Zhou, Zhou
author_facet Cheng, Jun
Hu, Huan
Kang, Yue
Chen, Weizhi
Fang, Wei
Wang, Kaijuan
Zhang, Qian
Fu, Aisi
Zhou, Shuilian
Cheng, Chen
Cao, Qingqing
Wang, Feiyan
Lee, Shela
Zhou, Zhou
author_sort Cheng, Jun
collection PubMed
description BACKGROUND: Pathogens identification is critical for the proper diagnosis and precise treatment of infective endocarditis (IE). Although blood and valve cultures are the gold standard for IE pathogens detection, many cases are culture-negative, especially in patients who had received long-term antibiotic treatment, and precise diagnosis has therefore become a major challenge in the clinic. Metagenomic sequencing can provide both information on the pathogenic strain and the antibiotic susceptibility profile of patient samples without culturing, offering a powerful method to deal with culture-negative cases. METHODS: To assess the feasibility of a metagenomic approach to detect the causative pathogens in resected valves from IE patients, we employed both next-generation sequencing and Oxford Nanopore Technologies MinION nanopore sequencing for pathogens and antimicrobial resistance detection in seven culture-negative IE patients. Using our in-house developed bioinformatics pipeline, we analyzed the sequencing results generated from both platforms for the direct identification of pathogens from the resected valves of seven clinically culture-negative IE patients according to the modified Duke criteria. RESULTS: Our results showed both metagenomics methods can be applied for the causative pathogen detection in all IE samples. Moreover, we were able to simultaneously characterize respective antimicrobial resistance features. CONCLUSION: Metagenomic methods for IE detection can provide clinicians with valuable information to diagnose and treat IE patients after valve replacement surgery. However, more efforts should be made to optimize protocols for sample processing, sequencing and bioinformatics analysis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12941-018-0294-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-63008912018-12-31 Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis Cheng, Jun Hu, Huan Kang, Yue Chen, Weizhi Fang, Wei Wang, Kaijuan Zhang, Qian Fu, Aisi Zhou, Shuilian Cheng, Chen Cao, Qingqing Wang, Feiyan Lee, Shela Zhou, Zhou Ann Clin Microbiol Antimicrob Research BACKGROUND: Pathogens identification is critical for the proper diagnosis and precise treatment of infective endocarditis (IE). Although blood and valve cultures are the gold standard for IE pathogens detection, many cases are culture-negative, especially in patients who had received long-term antibiotic treatment, and precise diagnosis has therefore become a major challenge in the clinic. Metagenomic sequencing can provide both information on the pathogenic strain and the antibiotic susceptibility profile of patient samples without culturing, offering a powerful method to deal with culture-negative cases. METHODS: To assess the feasibility of a metagenomic approach to detect the causative pathogens in resected valves from IE patients, we employed both next-generation sequencing and Oxford Nanopore Technologies MinION nanopore sequencing for pathogens and antimicrobial resistance detection in seven culture-negative IE patients. Using our in-house developed bioinformatics pipeline, we analyzed the sequencing results generated from both platforms for the direct identification of pathogens from the resected valves of seven clinically culture-negative IE patients according to the modified Duke criteria. RESULTS: Our results showed both metagenomics methods can be applied for the causative pathogen detection in all IE samples. Moreover, we were able to simultaneously characterize respective antimicrobial resistance features. CONCLUSION: Metagenomic methods for IE detection can provide clinicians with valuable information to diagnose and treat IE patients after valve replacement surgery. However, more efforts should be made to optimize protocols for sample processing, sequencing and bioinformatics analysis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12941-018-0294-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-20 /pmc/articles/PMC6300891/ /pubmed/30567558 http://dx.doi.org/10.1186/s12941-018-0294-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Cheng, Jun
Hu, Huan
Kang, Yue
Chen, Weizhi
Fang, Wei
Wang, Kaijuan
Zhang, Qian
Fu, Aisi
Zhou, Shuilian
Cheng, Chen
Cao, Qingqing
Wang, Feiyan
Lee, Shela
Zhou, Zhou
Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
title Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
title_full Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
title_fullStr Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
title_full_unstemmed Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
title_short Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
title_sort identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300891/
https://www.ncbi.nlm.nih.gov/pubmed/30567558
http://dx.doi.org/10.1186/s12941-018-0294-5
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