Direct common gram-negative bacterial identification from positive blood culture bottles by SELDI-TOF MS
A protein database was constructed and validated with identification rate over 90% for the 4 most common Gram-negative bacteria on agar plates. By protein masses comparison, 120 bacteria of the 4 species from blood culture bottles were identified. The concordance was high (Kappa=0.906) between our m...
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Veröffentlicht in: | Journal of microbiological methods 2014-10, Vol.105, p.116-120 |
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container_title | Journal of microbiological methods |
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creator | Xiao, Daiwen Yang, Yongchang Jiang, Wei Zhang, Hangfeng Liu, Hua Yu, Hua Xie, Chunbao Zhong, Min Chen, Liang Huang, Wenfang |
description | A protein database was constructed and validated with identification rate over 90% for the 4 most common Gram-negative bacteria on agar plates. By protein masses comparison, 120 bacteria of the 4 species from blood culture bottles were identified. The concordance was high (Kappa=0.906) between our method and conventional approach.
•We constructed a protein database including the 4 most common gram-negative bacteria.•The database was validated by 327 clinical isolates.•The identification rate was over 90% for the 4 bacteria on agar plates.•By protein masses comparison, we identified bacteria from blood culture bottles.•The concordance was high (K=0.906) between our method and conventional approach. |
doi_str_mv | 10.1016/j.mimet.2014.07.021 |
format | Article |
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•We constructed a protein database including the 4 most common gram-negative bacteria.•The database was validated by 327 clinical isolates.•The identification rate was over 90% for the 4 bacteria on agar plates.•By protein masses comparison, we identified bacteria from blood culture bottles.•The concordance was high (K=0.906) between our method and conventional approach.</description><identifier>ISSN: 0167-7012</identifier><identifier>EISSN: 1872-8359</identifier><identifier>DOI: 10.1016/j.mimet.2014.07.021</identifier><identifier>PMID: 25087480</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Bacteremia - diagnosis ; Bacteremia - microbiology ; Bacteria ; Bacteriological Techniques - methods ; Bloodstream infection ; Gram-Negative Bacteria - chemistry ; Gram-Negative Bacteria - classification ; Gram-Negative Bacteria - isolation & purification ; Gram-Negative Bacterial Infections - diagnosis ; Gram-Negative Bacterial Infections - microbiology ; Humans ; Identification ; Protein database ; SELDI-TOF MS ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</subject><ispartof>Journal of microbiological methods, 2014-10, Vol.105, p.116-120</ispartof><rights>2014 Elsevier B.V.</rights><rights>Copyright © 2014 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-4e735af46a5b1b35ee77820a82932700a0ee881018d6109f3f4da2665ad38da73</citedby><cites>FETCH-LOGICAL-c392t-4e735af46a5b1b35ee77820a82932700a0ee881018d6109f3f4da2665ad38da73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167701214002073$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25087480$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xiao, Daiwen</creatorcontrib><creatorcontrib>Yang, Yongchang</creatorcontrib><creatorcontrib>Jiang, Wei</creatorcontrib><creatorcontrib>Zhang, Hangfeng</creatorcontrib><creatorcontrib>Liu, Hua</creatorcontrib><creatorcontrib>Yu, Hua</creatorcontrib><creatorcontrib>Xie, Chunbao</creatorcontrib><creatorcontrib>Zhong, Min</creatorcontrib><creatorcontrib>Chen, Liang</creatorcontrib><creatorcontrib>Huang, Wenfang</creatorcontrib><title>Direct common gram-negative bacterial identification from positive blood culture bottles by SELDI-TOF MS</title><title>Journal of microbiological methods</title><addtitle>J Microbiol Methods</addtitle><description>A protein database was constructed and validated with identification rate over 90% for the 4 most common Gram-negative bacteria on agar plates. By protein masses comparison, 120 bacteria of the 4 species from blood culture bottles were identified. The concordance was high (Kappa=0.906) between our method and conventional approach.
•We constructed a protein database including the 4 most common gram-negative bacteria.•The database was validated by 327 clinical isolates.•The identification rate was over 90% for the 4 bacteria on agar plates.•By protein masses comparison, we identified bacteria from blood culture bottles.•The concordance was high (K=0.906) between our method and conventional approach.</description><subject>Bacteremia - diagnosis</subject><subject>Bacteremia - microbiology</subject><subject>Bacteria</subject><subject>Bacteriological Techniques - methods</subject><subject>Bloodstream infection</subject><subject>Gram-Negative Bacteria - chemistry</subject><subject>Gram-Negative Bacteria - classification</subject><subject>Gram-Negative Bacteria - isolation & purification</subject><subject>Gram-Negative Bacterial Infections - diagnosis</subject><subject>Gram-Negative Bacterial Infections - microbiology</subject><subject>Humans</subject><subject>Identification</subject><subject>Protein database</subject><subject>SELDI-TOF MS</subject><subject>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</subject><issn>0167-7012</issn><issn>1872-8359</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1v1DAQhi0EokvhF1RCPnJJ8EccO4ceUD-g0qIeWs6WY09ar-J4sZ1K_fe43dIjnKyRn5nRvA9CJ5S0lND-664NPkBpGaFdS2RLGH2DNlRJ1iguhrdoUynZSELZEfqQ844QKnin3qMjJoiSnSIbdH_uE9iCbQwhLvgumdAscGeKfwA8GlsgeTNj72ApfvK2flRsSjHgfcz-gM0xOmzXuaypVrGUGTIeH_HNxfb8qrm9vsQ_bz6id5OZM3x6eY_Rr8uL27Mfzfb6-9XZt21j-cBK04Hkwkxdb8RIRy4ApFSMGMUGziQhhgAoVe9XrqdkmPjUOcP6XhjHlTOSH6Mvh7n7FH-vkIsOPluYZ7NAXLOmPR86yWtK_0dFTyknQomK8gNqU8w5waT3yQeTHjUl-smG3ulnG_rJhiZSVxu16_PLgnUM4F57_sZfgdMDADWRBw9JZ-thseCerWgX_T8X_AGRV5uB</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Xiao, Daiwen</creator><creator>Yang, Yongchang</creator><creator>Jiang, Wei</creator><creator>Zhang, Hangfeng</creator><creator>Liu, Hua</creator><creator>Yu, Hua</creator><creator>Xie, Chunbao</creator><creator>Zhong, Min</creator><creator>Chen, Liang</creator><creator>Huang, Wenfang</creator><general>Elsevier B.V</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><scope>7QL</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20141001</creationdate><title>Direct common gram-negative bacterial identification from positive blood culture bottles by SELDI-TOF MS</title><author>Xiao, Daiwen ; Yang, Yongchang ; Jiang, Wei ; Zhang, Hangfeng ; Liu, Hua ; Yu, Hua ; Xie, Chunbao ; Zhong, Min ; Chen, Liang ; Huang, Wenfang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-4e735af46a5b1b35ee77820a82932700a0ee881018d6109f3f4da2665ad38da73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Bacteremia - diagnosis</topic><topic>Bacteremia - microbiology</topic><topic>Bacteria</topic><topic>Bacteriological Techniques - methods</topic><topic>Bloodstream infection</topic><topic>Gram-Negative Bacteria - chemistry</topic><topic>Gram-Negative Bacteria - classification</topic><topic>Gram-Negative Bacteria - isolation & purification</topic><topic>Gram-Negative Bacterial Infections - diagnosis</topic><topic>Gram-Negative Bacterial Infections - microbiology</topic><topic>Humans</topic><topic>Identification</topic><topic>Protein database</topic><topic>SELDI-TOF MS</topic><topic>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiao, Daiwen</creatorcontrib><creatorcontrib>Yang, Yongchang</creatorcontrib><creatorcontrib>Jiang, Wei</creatorcontrib><creatorcontrib>Zhang, Hangfeng</creatorcontrib><creatorcontrib>Liu, Hua</creatorcontrib><creatorcontrib>Yu, Hua</creatorcontrib><creatorcontrib>Xie, Chunbao</creatorcontrib><creatorcontrib>Zhong, Min</creatorcontrib><creatorcontrib>Chen, Liang</creatorcontrib><creatorcontrib>Huang, Wenfang</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><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of microbiological methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xiao, Daiwen</au><au>Yang, Yongchang</au><au>Jiang, Wei</au><au>Zhang, Hangfeng</au><au>Liu, Hua</au><au>Yu, Hua</au><au>Xie, Chunbao</au><au>Zhong, Min</au><au>Chen, Liang</au><au>Huang, Wenfang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Direct common gram-negative bacterial identification from positive blood culture bottles by SELDI-TOF MS</atitle><jtitle>Journal of microbiological methods</jtitle><addtitle>J Microbiol Methods</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>105</volume><spage>116</spage><epage>120</epage><pages>116-120</pages><issn>0167-7012</issn><eissn>1872-8359</eissn><abstract>A protein database was constructed and validated with identification rate over 90% for the 4 most common Gram-negative bacteria on agar plates. By protein masses comparison, 120 bacteria of the 4 species from blood culture bottles were identified. The concordance was high (Kappa=0.906) between our method and conventional approach.
•We constructed a protein database including the 4 most common gram-negative bacteria.•The database was validated by 327 clinical isolates.•The identification rate was over 90% for the 4 bacteria on agar plates.•By protein masses comparison, we identified bacteria from blood culture bottles.•The concordance was high (K=0.906) between our method and conventional approach.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>25087480</pmid><doi>10.1016/j.mimet.2014.07.021</doi><tpages>5</tpages></addata></record> |
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subjects | Bacteremia - diagnosis Bacteremia - microbiology Bacteria Bacteriological Techniques - methods Bloodstream infection Gram-Negative Bacteria - chemistry Gram-Negative Bacteria - classification Gram-Negative Bacteria - isolation & purification Gram-Negative Bacterial Infections - diagnosis Gram-Negative Bacterial Infections - microbiology Humans Identification Protein database SELDI-TOF MS Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods |
title | Direct common gram-negative bacterial identification from positive blood culture bottles by SELDI-TOF MS |
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