Diagnosis of Sepsis with Cell-free DNA by Next-Generation Sequencing Technology in ICU 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 adap...
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Veröffentlicht in: | Archives of medical research 2016-07, Vol.47 (5), p.365-371 |
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creator | Long, Yun Zhang, Yinxin Gong, Yanping Sun, Ruixue Su, Longxiang Lin, Xin Shen, Ao Zhou, Jiali Caiji, Zhuoma Wang, Xinying Li, Dongfang Wu, Honglong Tan, Hongdong |
description | 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. |
doi_str_mv | 10.1016/j.arcmed.2016.08.004 |
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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.</description><identifier>ISSN: 0188-4409</identifier><identifier>EISSN: 1873-5487</identifier><identifier>DOI: 10.1016/j.arcmed.2016.08.004</identifier><identifier>PMID: 27751370</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Bacteremia ; Bacteremia - blood ; Bacteremia - diagnosis ; Bacteremia - microbiology ; Bacterial Infections - blood ; Bacterial Infections - diagnosis ; Bacterial Infections - microbiology ; Blood culture ; Case-Control Studies ; cfDNA ; DNA, Bacterial - blood ; DNA, Fungal - blood ; Fungemia - blood ; Fungemia - diagnosis ; Fungemia - microbiology ; High-Throughput Nucleotide Sequencing ; Humans ; Intensive Care Units ; Internal Medicine ; Mycoses - blood ; Mycoses - diagnosis ; Mycoses - microbiology ; Next-generation sequencing ; Pathogen detection ; Sepsis - blood ; Sepsis - diagnosis ; Sepsis - microbiology</subject><ispartof>Archives of medical research, 2016-07, Vol.47 (5), p.365-371</ispartof><rights>IMSS</rights><rights>2016 IMSS</rights><rights>Copyright © 2016 IMSS. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-114de006fdf60c51794f3757aefc2df20ca63b280674345c80804e31ec51a6d13</citedby><cites>FETCH-LOGICAL-c417t-114de006fdf60c51794f3757aefc2df20ca63b280674345c80804e31ec51a6d13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.arcmed.2016.08.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27751370$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Long, Yun</creatorcontrib><creatorcontrib>Zhang, Yinxin</creatorcontrib><creatorcontrib>Gong, Yanping</creatorcontrib><creatorcontrib>Sun, Ruixue</creatorcontrib><creatorcontrib>Su, Longxiang</creatorcontrib><creatorcontrib>Lin, Xin</creatorcontrib><creatorcontrib>Shen, Ao</creatorcontrib><creatorcontrib>Zhou, Jiali</creatorcontrib><creatorcontrib>Caiji, Zhuoma</creatorcontrib><creatorcontrib>Wang, Xinying</creatorcontrib><creatorcontrib>Li, Dongfang</creatorcontrib><creatorcontrib>Wu, Honglong</creatorcontrib><creatorcontrib>Tan, Hongdong</creatorcontrib><title>Diagnosis of Sepsis with Cell-free DNA by Next-Generation Sequencing Technology in ICU Patients</title><title>Archives of medical research</title><addtitle>Arch Med Res</addtitle><description>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.</description><subject>Bacteremia</subject><subject>Bacteremia - blood</subject><subject>Bacteremia - diagnosis</subject><subject>Bacteremia - microbiology</subject><subject>Bacterial Infections - blood</subject><subject>Bacterial Infections - diagnosis</subject><subject>Bacterial Infections - microbiology</subject><subject>Blood culture</subject><subject>Case-Control Studies</subject><subject>cfDNA</subject><subject>DNA, Bacterial - blood</subject><subject>DNA, Fungal - blood</subject><subject>Fungemia - blood</subject><subject>Fungemia - diagnosis</subject><subject>Fungemia - microbiology</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>Intensive Care Units</subject><subject>Internal Medicine</subject><subject>Mycoses - blood</subject><subject>Mycoses - diagnosis</subject><subject>Mycoses - microbiology</subject><subject>Next-generation sequencing</subject><subject>Pathogen detection</subject><subject>Sepsis - blood</subject><subject>Sepsis - diagnosis</subject><subject>Sepsis - microbiology</subject><issn>0188-4409</issn><issn>1873-5487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc9PHCEUgElTU1fb_6BpOPYy08fAAHtpYtZqTYw2Uc-EZd6sbGdhC7PW_e9lsnrppScgfO_X9wj5zKBmwOS3dW2T22BXN-VVg64BxDsyY1rxqhVavSczYFpXQsD8mJzkvAYALaT6QI4bpVrGFcyIOfd2FWL2mcae3uF2uv314yNd4DBUfUKk5zdndLmnN_g8VpcYMNnRx1DgPzsMzocVvUf3GOIQV3vqA71aPNBfhcEw5o_kqLdDxk-v5yl5uPhxv_hZXd9eXi3OrisnmBorxkSHALLvegmuZWoueq5aZbF3Tdc34Kzky0aDVIKL1mnQIJAzLKyVHeOn5Osh7zbF0lYezcZnV0awAeMuG6Z5K8rMrS6oOKAuxZwT9mab_MamvWFgJrVmbQ5qzaTWgDZFbQn78lpht5z-3oLeXBbg-wHAMueTx2SyKw4cdj6hG00X_f8q_JvADT54Z4ffuMe8jrsUikPDTG4MmLtpvdN2meTAYC75C3Z3n4w</recordid><startdate>20160701</startdate><enddate>20160701</enddate><creator>Long, Yun</creator><creator>Zhang, Yinxin</creator><creator>Gong, Yanping</creator><creator>Sun, Ruixue</creator><creator>Su, Longxiang</creator><creator>Lin, Xin</creator><creator>Shen, Ao</creator><creator>Zhou, Jiali</creator><creator>Caiji, Zhuoma</creator><creator>Wang, Xinying</creator><creator>Li, Dongfang</creator><creator>Wu, Honglong</creator><creator>Tan, Hongdong</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20160701</creationdate><title>Diagnosis of Sepsis with Cell-free DNA by Next-Generation Sequencing Technology in ICU Patients</title><author>Long, Yun ; Zhang, Yinxin ; Gong, Yanping ; Sun, Ruixue ; Su, Longxiang ; Lin, Xin ; Shen, Ao ; Zhou, Jiali ; Caiji, Zhuoma ; Wang, Xinying ; Li, Dongfang ; Wu, Honglong ; Tan, Hongdong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-114de006fdf60c51794f3757aefc2df20ca63b280674345c80804e31ec51a6d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Bacteremia</topic><topic>Bacteremia - blood</topic><topic>Bacteremia - diagnosis</topic><topic>Bacteremia - microbiology</topic><topic>Bacterial Infections - blood</topic><topic>Bacterial Infections - diagnosis</topic><topic>Bacterial Infections - microbiology</topic><topic>Blood culture</topic><topic>Case-Control Studies</topic><topic>cfDNA</topic><topic>DNA, Bacterial - blood</topic><topic>DNA, Fungal - blood</topic><topic>Fungemia - blood</topic><topic>Fungemia - diagnosis</topic><topic>Fungemia - microbiology</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>Intensive Care Units</topic><topic>Internal Medicine</topic><topic>Mycoses - blood</topic><topic>Mycoses - diagnosis</topic><topic>Mycoses - microbiology</topic><topic>Next-generation sequencing</topic><topic>Pathogen detection</topic><topic>Sepsis - blood</topic><topic>Sepsis - diagnosis</topic><topic>Sepsis - microbiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Long, Yun</creatorcontrib><creatorcontrib>Zhang, Yinxin</creatorcontrib><creatorcontrib>Gong, Yanping</creatorcontrib><creatorcontrib>Sun, Ruixue</creatorcontrib><creatorcontrib>Su, Longxiang</creatorcontrib><creatorcontrib>Lin, Xin</creatorcontrib><creatorcontrib>Shen, Ao</creatorcontrib><creatorcontrib>Zhou, Jiali</creatorcontrib><creatorcontrib>Caiji, Zhuoma</creatorcontrib><creatorcontrib>Wang, Xinying</creatorcontrib><creatorcontrib>Li, Dongfang</creatorcontrib><creatorcontrib>Wu, Honglong</creatorcontrib><creatorcontrib>Tan, Hongdong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Archives of medical research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Long, Yun</au><au>Zhang, Yinxin</au><au>Gong, Yanping</au><au>Sun, Ruixue</au><au>Su, Longxiang</au><au>Lin, Xin</au><au>Shen, Ao</au><au>Zhou, Jiali</au><au>Caiji, Zhuoma</au><au>Wang, Xinying</au><au>Li, Dongfang</au><au>Wu, Honglong</au><au>Tan, Hongdong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnosis of Sepsis with Cell-free DNA by Next-Generation Sequencing Technology in ICU Patients</atitle><jtitle>Archives of medical research</jtitle><addtitle>Arch Med Res</addtitle><date>2016-07-01</date><risdate>2016</risdate><volume>47</volume><issue>5</issue><spage>365</spage><epage>371</epage><pages>365-371</pages><issn>0188-4409</issn><eissn>1873-5487</eissn><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.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27751370</pmid><doi>10.1016/j.arcmed.2016.08.004</doi><tpages>7</tpages></addata></record> |
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subjects | Bacteremia Bacteremia - blood Bacteremia - diagnosis Bacteremia - microbiology Bacterial Infections - blood Bacterial Infections - diagnosis Bacterial Infections - microbiology Blood culture Case-Control Studies cfDNA DNA, Bacterial - blood DNA, Fungal - blood Fungemia - blood Fungemia - diagnosis Fungemia - microbiology High-Throughput Nucleotide Sequencing Humans Intensive Care Units Internal Medicine Mycoses - blood Mycoses - diagnosis Mycoses - microbiology Next-generation sequencing Pathogen detection Sepsis - blood Sepsis - diagnosis Sepsis - microbiology |
title | Diagnosis of Sepsis with Cell-free DNA by Next-Generation Sequencing Technology in ICU Patients |
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