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

© 2021. The Author(s)..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:21

Enthalten in:

BMC pulmonary medicine - 21(2021), 1 vom: 07. Nov., Seite 348

Sprache:

Englisch

Beteiligte Personen:

Lian, Qiao-Yan [VerfasserIn]
Chen, Ao [VerfasserIn]
Zhang, Jian-Heng [VerfasserIn]
Guan, Wei-Jie [VerfasserIn]
Xu, Xin [VerfasserIn]
Wei, Bing [VerfasserIn]
Huang, Dan-Xia [VerfasserIn]
He, Jian-Xing [VerfasserIn]
Ju, Chun-Rong [VerfasserIn]

Links:

Volltext

Themen:

High-throughput next-generation sequencing
Journal Article
Lung transplantation
Pathogen
Pulmonary infection

Anmerkungen:

Date Completed 04.02.2022

Date Revised 04.02.2022

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s12890-021-01723-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM332803449