Jun Cheng1, Huan Hu2, Wei Fang3, Duozhi Shi4, Chen Liang5, Yang Sun6, GuoFeng Gao7, Hao Wang8, Qian Zhang9, LiQing Wang10, HongLong Wu11, Long Hu12, Luyao Chen13, Jin Zhang14, Shela Lee15, FeiYan Wang16, Zhou Zhou17. 1. State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. Electronic address: jackcheng2001@163.com. 2. State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: huhuan@simceredx.com. 3. State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: fangwei@simceredx.com. 4. State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: shiduozhi@simceredx.com. 5. State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: liangchen@simceredx.com. 6. State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. Electronic address: sunyangyjs@sina.com. 7. Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100037, China. Electronic address: ggf03@163.com. 8. Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100037, China. Electronic address: wanghao_fuwai@126.com. 9. Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100037, China. Electronic address: nankedoudou@126.com. 10. Center of Cardiac Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. Electronic address: wltsmd@sohu.com. 11. Binhai Genomics Institute, Tianjin Translational Genomics Center, BGI-Tianjin BGI-Shenzhen, Tianjin 300308, China. Electronic address: wuhonglong@genomics.cn. 12. State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: Hulong@simceredx.com. 13. State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: chenluyao@simeredx.com. 14. State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: zhangjin@simceredx.com. 15. State Key Laboratory of Translational Medicine and Innovative Drug Development, Simcere Diagnostics Co., Ltd., Nanjing 210042, China. Electronic address: shela_lee@simceredx.com. 16. State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. Electronic address: wang_feiyanfw@sina.com. 17. State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. Electronic address: zhouzhou@fuwaihospital.org.
Abstract
OBJECTIVES: Identification of the underlying pathogens of infective endocarditis (IE) is critical for precision therapy. METHODS: We evaluated a metagenomic method with next-generation sequencing (NGS) for the direct detection of pathogens from the resected valves of 44 IE patients and seven rejected IE patients according to the modified Duke criteria. RESULTS: NGS displayed sensitivity, specificity, positive predictive values and negative predictive values of 97.6%, 85.7%, 97.6%, and 85.7% compared with 46.2%, 100%, 100%, and 12.5% for blood culture and 17.1%, 100%, 100%, and 17.1% for valve culture and 51.4%, 100%, 100%, and 26.1% for valve Gram staining, respectively. CONCLUSIONS: NGS technique had superior sensitivity and shorter turnaround time compared with culture-based methods for identifying causative pathogens of IE. The NGS technology should be considered an essential supplement to culture-based methods, particularly for unculturable or difficult-to-culture microorganisms.
OBJECTIVES: Identification of the underlying pathogens of infective endocarditis (IE) is critical for precision therapy. METHODS: We evaluated a metagenomic method with next-generation sequencing (NGS) for the direct detection of pathogens from the resected valves of 44 IE patients and seven rejected IE patients according to the modified Duke criteria. RESULTS: NGS displayed sensitivity, specificity, positive predictive values and negative predictive values of 97.6%, 85.7%, 97.6%, and 85.7% compared with 46.2%, 100%, 100%, and 12.5% for blood culture and 17.1%, 100%, 100%, and 17.1% for valve culture and 51.4%, 100%, 100%, and 26.1% for valve Gram staining, respectively. CONCLUSIONS: NGS technique had superior sensitivity and shorter turnaround time compared with culture-based methods for identifying causative pathogens of IE. The NGS technology should be considered an essential supplement to culture-based methods, particularly for unculturable or difficult-to-culture microorganisms.
Authors: Chairmandurai Aravindraja; Matteen R Kashef; Krishna Mukesh Vekariya; Ravi K Ghanta; Shama Karanth; Edward K L Chan; Lakshmyya Kesavalu Journal: Int J Mol Sci Date: 2022-05-04 Impact factor: 6.208
Authors: Paula Santibáñez; Concepción García-García; Aránzazu Portillo; Sonia Santibáñez; Lara García-Álvarez; María de Toro; José A Oteo Journal: Pathogens Date: 2021-12-29