High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation

Abstract Background High-throughput next-generation sequencing (HT-NGS) has the potential to detect a large variety of pathogens; however, the application of HT-NGS in lung transplant (LTx) recipients remains limited. We aimed to evaluate the value of HT-NGS for pathogen detection and diagnosis of p...

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Autores principales: Qiao-yan Lian, Ao Chen, Jian-heng Zhang, Wei-jie Guan, Xin Xu, Bing Wei, Dan-xia Huang, Jian-xing He, Chun-rong Ju
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Publicado: BMC 2021
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spelling oai:doaj.org-article:f7dff5a4c7044615bf7fd9f17a8379242021-11-08T11:13:21ZHigh-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation10.1186/s12890-021-01723-z1471-2466https://doaj.org/article/f7dff5a4c7044615bf7fd9f17a8379242021-11-01T00:00:00Zhttps://doi.org/10.1186/s12890-021-01723-zhttps://doaj.org/toc/1471-2466Abstract Background High-throughput next-generation sequencing (HT-NGS) has the potential to detect a large variety of pathogens; however, the application of HT-NGS in lung transplant (LTx) recipients remains limited. We aimed to evaluate the value of HT-NGS for pathogen detection and diagnosis of pulmonary infection during early-stage post-lung transplantation. Methods In this retrospective study, we enrolled 51 LTx recipients who underwent lung transplantation between January 2020 and December 2020. Bronchoalveolar lavage fluid (BALF) samples were collected for the detection of pathogens using both HT-NGS and conventional microbiological testing. The detection of pathogens and diagnostic performance of HT-NGS were compared with that of conventional methods. Results HT-NGS provided a higher positive rate of pathogen detection than conventional microbiological testing (88.24% vs. 76.47%). The most common bacteria detected via HT-NGS during early-stage post-lung transplantation were Enterococcus, Staphylococcus, Pseudomonas and Klebsiella, while all fungi were Candida and all viruses were Herpesvirus. Uncommon pathogens, including Strongyloides, Legionella, and Mycobacterium abscesses were identified by HT-NGS. The sensitivity of HT-NGS for diagnosing pulmonary infection was significantly higher than that of conventional microbiological testing (97.14% vs. 68.57%; P < 0.001). For three LTx recipients, treatment regimens were adjusted according to the results of HT-NGS, leading to a complete recovery. Conclusion HT-NGS is a highly sensitive technique for pathogen detection, which may provide diagnostic advantages, especially in LTx recipients, contributing to the optimization of treatment regimens against pulmonary infection during early-stage post-lung transplantation.Qiao-yan LianAo ChenJian-heng ZhangWei-jie GuanXin XuBing WeiDan-xia HuangJian-xing HeChun-rong JuBMCarticleLung transplantationHigh-throughput next-generation sequencingPathogenPulmonary infectionDiseases of the respiratory systemRC705-779ENBMC Pulmonary Medicine, Vol 21, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Lung transplantation
High-throughput next-generation sequencing
Pathogen
Pulmonary infection
Diseases of the respiratory system
RC705-779
spellingShingle Lung transplantation
High-throughput next-generation sequencing
Pathogen
Pulmonary infection
Diseases of the respiratory system
RC705-779
Qiao-yan Lian
Ao Chen
Jian-heng Zhang
Wei-jie Guan
Xin Xu
Bing Wei
Dan-xia Huang
Jian-xing He
Chun-rong Ju
High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation
description Abstract Background High-throughput next-generation sequencing (HT-NGS) has the potential to detect a large variety of pathogens; however, the application of HT-NGS in lung transplant (LTx) recipients remains limited. We aimed to evaluate the value of HT-NGS for pathogen detection and diagnosis of pulmonary infection during early-stage post-lung transplantation. Methods In this retrospective study, we enrolled 51 LTx recipients who underwent lung transplantation between January 2020 and December 2020. Bronchoalveolar lavage fluid (BALF) samples were collected for the detection of pathogens using both HT-NGS and conventional microbiological testing. The detection of pathogens and diagnostic performance of HT-NGS were compared with that of conventional methods. Results HT-NGS provided a higher positive rate of pathogen detection than conventional microbiological testing (88.24% vs. 76.47%). The most common bacteria detected via HT-NGS during early-stage post-lung transplantation were Enterococcus, Staphylococcus, Pseudomonas and Klebsiella, while all fungi were Candida and all viruses were Herpesvirus. Uncommon pathogens, including Strongyloides, Legionella, and Mycobacterium abscesses were identified by HT-NGS. The sensitivity of HT-NGS for diagnosing pulmonary infection was significantly higher than that of conventional microbiological testing (97.14% vs. 68.57%; P < 0.001). For three LTx recipients, treatment regimens were adjusted according to the results of HT-NGS, leading to a complete recovery. Conclusion HT-NGS is a highly sensitive technique for pathogen detection, which may provide diagnostic advantages, especially in LTx recipients, contributing to the optimization of treatment regimens against pulmonary infection during early-stage post-lung transplantation.
format article
author Qiao-yan Lian
Ao Chen
Jian-heng Zhang
Wei-jie Guan
Xin Xu
Bing Wei
Dan-xia Huang
Jian-xing He
Chun-rong Ju
author_facet Qiao-yan Lian
Ao Chen
Jian-heng Zhang
Wei-jie Guan
Xin Xu
Bing Wei
Dan-xia Huang
Jian-xing He
Chun-rong Ju
author_sort Qiao-yan Lian
title High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation
title_short High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation
title_full High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation
title_fullStr High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation
title_full_unstemmed High-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation
title_sort high-throughput next-generation sequencing for identifying pathogens during early-stage post-lung transplantation
publisher BMC
publishDate 2021
url https://doaj.org/article/f7dff5a4c7044615bf7fd9f17a837924
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