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

BACKGROUND: Post-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 l...

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Autores principales: Zhang, Xiaoqin, Tang, Xuemei, Yi, Xiaoli, Lei, Yu, Lu, Sen, Li, Tianlong, Yue, Ruiming, Pan, Lingai, Feng, Gang, Huang, Xiaobo, Wang, Yiping, Cheng, Deyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551139/
https://www.ncbi.nlm.nih.gov/pubmed/37809079
http://dx.doi.org/10.3389/fimmu.2023.1271919
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author Zhang, Xiaoqin
Tang, Xuemei
Yi, Xiaoli
Lei, Yu
Lu, Sen
Li, Tianlong
Yue, Ruiming
Pan, Lingai
Feng, Gang
Huang, Xiaobo
Wang, Yiping
Cheng, Deyun
author_facet Zhang, Xiaoqin
Tang, Xuemei
Yi, Xiaoli
Lei, Yu
Lu, Sen
Li, Tianlong
Yue, Ruiming
Pan, Lingai
Feng, Gang
Huang, Xiaobo
Wang, Yiping
Cheng, Deyun
author_sort Zhang, Xiaoqin
collection PubMed
description BACKGROUND: Post-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. METHODS: In 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. RESULTS: The detection rate of mNGS in the 38 airway secretions specimens was significantly higher than that of the microbial culture (P<0.0001). MNGS identified 143 kinds of pathogenic microorganisms; bacterial pathogens account for more than half (72.73%), with gram-positive and -negative bacteria occupying large proportions. Fungi such as Candida are also frequently detected. 5 (50%) microbial species identified by microbial culture had multiple drug resistance (MDR). Within one month, 26 (68.42%) recipients got infected (with a median time of 9 days), among which 10 (38.46%) cases were infected within one week. In the infected recipients, causative agents were detected in advance by mNGS in 9 (34.62%) cases, and most of them (6, 66.67%) were infected within one week (ultra-early). In the infection that occurred after one week, the consistency between mNGS results and the etiological agents was decreased. CONCLUSION: Based on the mNGS-reported pathogens in airway secretions samples collected within two hours, the initial empirical anti-infection regimes covering the bacteria and fungi are reasonable. The existence of bacteria with MDR forecasts the high risk of infection within 48 hours after transplant, reminding us of the necessity to adjust the antimicrobial strategy. The predictive role of mNGS performed within two hours in etiological agents is time-limited, suggesting continuous pathogenic identification is needed after lung transplant.
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spelling pubmed-105511392023-10-06 Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients Zhang, Xiaoqin Tang, Xuemei Yi, Xiaoli Lei, Yu Lu, Sen Li, Tianlong Yue, Ruiming Pan, Lingai Feng, Gang Huang, Xiaobo Wang, Yiping Cheng, Deyun Front Immunol Immunology BACKGROUND: Post-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. METHODS: In 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. RESULTS: The detection rate of mNGS in the 38 airway secretions specimens was significantly higher than that of the microbial culture (P<0.0001). MNGS identified 143 kinds of pathogenic microorganisms; bacterial pathogens account for more than half (72.73%), with gram-positive and -negative bacteria occupying large proportions. Fungi such as Candida are also frequently detected. 5 (50%) microbial species identified by microbial culture had multiple drug resistance (MDR). Within one month, 26 (68.42%) recipients got infected (with a median time of 9 days), among which 10 (38.46%) cases were infected within one week. In the infected recipients, causative agents were detected in advance by mNGS in 9 (34.62%) cases, and most of them (6, 66.67%) were infected within one week (ultra-early). In the infection that occurred after one week, the consistency between mNGS results and the etiological agents was decreased. CONCLUSION: Based on the mNGS-reported pathogens in airway secretions samples collected within two hours, the initial empirical anti-infection regimes covering the bacteria and fungi are reasonable. The existence of bacteria with MDR forecasts the high risk of infection within 48 hours after transplant, reminding us of the necessity to adjust the antimicrobial strategy. The predictive role of mNGS performed within two hours in etiological agents is time-limited, suggesting continuous pathogenic identification is needed after lung transplant. Frontiers Media S.A. 2023-09-21 /pmc/articles/PMC10551139/ /pubmed/37809079 http://dx.doi.org/10.3389/fimmu.2023.1271919 Text en Copyright © 2023 Zhang, Tang, Yi, Lei, Lu, Li, Yue, Pan, Feng, Huang, Wang and Cheng 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 Immunology
Zhang, Xiaoqin
Tang, Xuemei
Yi, Xiaoli
Lei, Yu
Lu, Sen
Li, Tianlong
Yue, Ruiming
Pan, Lingai
Feng, Gang
Huang, Xiaobo
Wang, Yiping
Cheng, Deyun
Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients
title Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients
title_full Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients
title_fullStr Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients
title_full_unstemmed Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients
title_short Etiologic characteristics revealed by mNGS-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients
title_sort etiologic characteristics revealed by mngs-mediated ultra-early and early microbiological identification in airway secretions from lung transplant recipients
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551139/
https://www.ncbi.nlm.nih.gov/pubmed/37809079
http://dx.doi.org/10.3389/fimmu.2023.1271919
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