Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adults
Introduction: Accurate identification of pathogens that cause pulmonary infections is essential for effective treatment and hastening recovery in adults diagnosed with pneumonia. At present, despite metagenomic next-generation sequencing (mNGS) technology has been widely used in clinical practice f...
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The Journal of Infection in Developing Countries
2023-11-01
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| Series: | Journal of Infection in Developing Countries |
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| Online Access: | https://jidc.org/index.php/journal/article/view/18696 |
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| author | Zhiguang Liu Chuang Sun Xinru Xiao Lianzheng Zhou Yanhua Huang Yujia Shi Xiaowei Yin Zhengdao Mao Qian Zhang |
| author_facet | Zhiguang Liu Chuang Sun Xinru Xiao Lianzheng Zhou Yanhua Huang Yujia Shi Xiaowei Yin Zhengdao Mao Qian Zhang |
| author_sort | Zhiguang Liu |
| collection | DOAJ |
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Introduction: Accurate identification of pathogens that cause pulmonary infections is essential for effective treatment and hastening recovery in adults diagnosed with pneumonia. At present, despite metagenomic next-generation sequencing (mNGS) technology has been widely used in clinical practice for pathogen identification, the clinical significance and necessity of detecting pathogen in bronchoalveolar lavage fluid (BALF) for pneumonia-stricken adults remain ambiguous.
Methodology: In this study, 80 patients suffering from pulmonary infection were enrolled, who were admitted to the Affiliated Changzhou Second People’s Hospital of Nanjing Medical University between January 2020 and September 2022. The diagnostic performances of mNGS and conventional methods (CM) were systematically analyzed based on BALF samples, and we further investigated the influence of mNGS and CM in diagnosis modification and treatment.
Results: We found a significantly higher positive rate for the mNGS method in contrast to CM. Bacteria were the most common pathogens, and Streptococcus pneumoniae was the most commonly identified pathogen. Candida albicans and Epstein-Barr virus were the most frequently identified fungus and virus. Atypical pathogens such as Mycobacterium tuberculosis, virus Nontuberculous mycobacteria, and Chlamydia psittaci were also identified. A total of 77 patients were identified with mixed infections by mNGS. As the disease progressed and recurrent antibiotic treatment persisted, significant dynamic changes in the clinical manifestation from the BALF samples could be found by mNGS.
Conclusions: This study underscores the efficacy of mNGS in detecting pathogens in BALF samples from patients suffering pulmonary infections. Compared with the CM, mNGS significantly enhanced the positive diagnosis ratio, particularly in diagnosing Mycobacterium tuberculosis, atypical pathogens, and viral or fungal infections.
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| format | Article |
| id | doaj-art-71e0be481b0e4f73a7eeffe91593ee0e |
| institution | DOAJ |
| issn | 1972-2680 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | The Journal of Infection in Developing Countries |
| record_format | Article |
| series | Journal of Infection in Developing Countries |
| spelling | doaj-art-71e0be481b0e4f73a7eeffe91593ee0e2025-08-20T02:57:13ZengThe Journal of Infection in Developing CountriesJournal of Infection in Developing Countries1972-26802023-11-01171110.3855/jidc.18696Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adultsZhiguang Liu0Chuang Sun1Xinru Xiao2Lianzheng Zhou3Yanhua Huang4Yujia Shi5Xiaowei Yin6Zhengdao Mao7Qian Zhang8Department of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, China Introduction: Accurate identification of pathogens that cause pulmonary infections is essential for effective treatment and hastening recovery in adults diagnosed with pneumonia. At present, despite metagenomic next-generation sequencing (mNGS) technology has been widely used in clinical practice for pathogen identification, the clinical significance and necessity of detecting pathogen in bronchoalveolar lavage fluid (BALF) for pneumonia-stricken adults remain ambiguous. Methodology: In this study, 80 patients suffering from pulmonary infection were enrolled, who were admitted to the Affiliated Changzhou Second People’s Hospital of Nanjing Medical University between January 2020 and September 2022. The diagnostic performances of mNGS and conventional methods (CM) were systematically analyzed based on BALF samples, and we further investigated the influence of mNGS and CM in diagnosis modification and treatment. Results: We found a significantly higher positive rate for the mNGS method in contrast to CM. Bacteria were the most common pathogens, and Streptococcus pneumoniae was the most commonly identified pathogen. Candida albicans and Epstein-Barr virus were the most frequently identified fungus and virus. Atypical pathogens such as Mycobacterium tuberculosis, virus Nontuberculous mycobacteria, and Chlamydia psittaci were also identified. A total of 77 patients were identified with mixed infections by mNGS. As the disease progressed and recurrent antibiotic treatment persisted, significant dynamic changes in the clinical manifestation from the BALF samples could be found by mNGS. Conclusions: This study underscores the efficacy of mNGS in detecting pathogens in BALF samples from patients suffering pulmonary infections. Compared with the CM, mNGS significantly enhanced the positive diagnosis ratio, particularly in diagnosing Mycobacterium tuberculosis, atypical pathogens, and viral or fungal infections. https://jidc.org/index.php/journal/article/view/18696Metagenomic next-generation sequencingconventional methodpulmonary infectionpathogen |
| spellingShingle | Zhiguang Liu Chuang Sun Xinru Xiao Lianzheng Zhou Yanhua Huang Yujia Shi Xiaowei Yin Zhengdao Mao Qian Zhang Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adults Journal of Infection in Developing Countries Metagenomic next-generation sequencing conventional method pulmonary infection pathogen |
| title | Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adults |
| title_full | Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adults |
| title_fullStr | Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adults |
| title_full_unstemmed | Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adults |
| title_short | Application of metagenomic next-generation sequencing (mNGS) in diagnosing pneumonia of adults |
| title_sort | application of metagenomic next generation sequencing mngs in diagnosing pneumonia of adults |
| topic | Metagenomic next-generation sequencing conventional method pulmonary infection pathogen |
| url | https://jidc.org/index.php/journal/article/view/18696 |
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