Yun Long1, Yinxin Zhang2, Yanping Gong2, Ruixue Sun2, Longxiang Su1, Xin Lin2, Ao Shen2, Jiali Zhou2, Zhuoma Caiji2, Xinying Wang2, Dongfang Li2, Honglong Wu2, Hongdong Tan3. 1. Department of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 2. Binhai Genomics Institute, Tianjin Translational Genomics Center, BGI-Tianjin, BGI-Shenzhen, Tianjin, China; Shenzhen Key Laboratory of Unknown Pathogen Identification, Shenzhen, China; BGI-Shenzhen, Shenzhen, China. 3. Binhai Genomics Institute, Tianjin Translational Genomics Center, BGI-Tianjin, BGI-Shenzhen, Tianjin, China; Complete Genomics, Inc., Mountain View, California, USA; Shenzhen Key Laboratory of Unknown Pathogen Identification, Shenzhen, China; BGI-Shenzhen, Shenzhen, China. Electronic address: bgi_tanhongdong@126.com.
Abstract
BACKGROUND AND AIMS: Bacteremia is a common serious manifestation of disease in the intensive care unit (ICU), which requires quick and accurate determinations of pathogens to select the appropriate antibiotic treatment. To overcome the shortcomings of traditional bacterial culture (BC), we have adapted next-generation sequencing (NGS) technology to identify pathogens from cell-free plasma DNA. METHODS: In this study, 78 plasma samples from ICU patients were analyzed by both NGS and BC methods and verified by PCR amplification/Sanger sequencing and ten plasma samples from healthy volunteers were analyzed by NGS as negative controls to define or calibrate the threshold of the NGS methodology. RESULTS: Overall, 1578 suspected patient samples were found to contain bacteria or fungi by NGS, whereas ten patients were diagnosed by BC. Seven samples were diagnosed with bacterial or fungal infection both by NGS and BC. Among them, two samples were diagnosed with two types of bacteria by NGS, whereas one sample was diagnosed with two types of bacteria by BC, which increased the detectability of bacteria or fungi from 11 with BC to 17 with NGS. Most interestingly, 14 specimens were also diagnosed with viral infection by NGS. The overall diagnostic sensitivity was significantly increased from 12.82% (10/78) by BC alone to 30.77% (24/78) by NGS alone for ICU patients, which provides more useful information for establishing patient treatment plans. CONCLUSION: NGS technology can be applied to detect bacteria in clinical blood samples as an emerging diagnostic tool rich in information to determine the appropriate treatment of septic patients.
BACKGROUND AND AIMS: Bacteremia is a common serious manifestation of disease in the intensive care unit (ICU), which requires quick and accurate determinations of pathogens to select the appropriate antibiotic treatment. To overcome the shortcomings of traditional bacterial culture (BC), we have adapted next-generation sequencing (NGS) technology to identify pathogens from cell-free plasma DNA. METHODS: In this study, 78 plasma samples from ICU patients were analyzed by both NGS and BC methods and verified by PCR amplification/Sanger sequencing and ten plasma samples from healthy volunteers were analyzed by NGS as negative controls to define or calibrate the threshold of the NGS methodology. RESULTS: Overall, 1578 suspected patient samples were found to contain bacteria or fungi by NGS, whereas ten patients were diagnosed by BC. Seven samples were diagnosed with bacterial or fungal infection both by NGS and BC. Among them, two samples were diagnosed with two types of bacteria by NGS, whereas one sample was diagnosed with two types of bacteria by BC, which increased the detectability of bacteria or fungi from 11 with BC to 17 with NGS. Most interestingly, 14 specimens were also diagnosed with viral infection by NGS. The overall diagnostic sensitivity was significantly increased from 12.82% (10/78) by BC alone to 30.77% (24/78) by NGS alone for ICU patients, which provides more useful information for establishing patient treatment plans. CONCLUSION: NGS technology can be applied to detect bacteria in clinical blood samples as an emerging diagnostic tool rich in information to determine the appropriate treatment of septicpatients.
Authors: Russell B Hawkins; Julie A Stortz; David C Holden; Zhongkai Wang; Steven L Raymond; Michael C Cox; Scott C Brakenridge; Frederick A Moore; Lyle L Moldawer; Philip A Efron Journal: Surgery Date: 2019-12-31 Impact factor: 3.982