Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients

Autor: Xiaoqin Zhang, Xuemei Tang, Xiaoli Yi, Yu Lei, Sen Lu, Tianlong Li, Ruiming Yue, Lingai Pan, Gang Feng, Xiaobo Huang, Yiping Wang, Deyun Cheng
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Immunology, Vol 14 (2023)
Druh dokumentu: article
ISSN: 1664-3224
DOI: 10.3389/fimmu.2023.1271919
Popis: BackgroundPost-operative etiological studies are critical for infection prevention in lung transplant recipients within the first year. In this study, mNGS combined with microbial culture was applied to reveal the etiological characteristics within one week (ultra-early) and one month (early) in lung transplant recipients, and the epidemiology of infection occurred within one month.MethodsIn 38 lung transplant recipients, deep airway secretions were collected through bronchofiberscope within two hours after the operation and were subjected to microbial identification by mNGS and microbial culture. The etiologic characteristics of lung transplant recipients were explored. Within one month, the infection status of recipients was monitored. The microbial species detected by mNGS were compared with the etiological agents causing infection within one month.ResultsThe detection rate of mNGS in the 38 airway secretions specimens was significantly higher than that of the microbial culture (P
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