Rapid phenotypic antimicrobial susceptibility testing using nanoliter arrays
Antibiotic resistance is a major global health concern that requires action across all sectors of society. In particular, to allow conservative and effective use of antibiotics clinical settings require better diagnostic tools that provide rapid determination of antimicrobial susceptibility. We pres...
Gespeichert in:
| Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2017-07, Vol.114 (29), p.E5787-E5795 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | E5795 |
|---|---|
| container_issue | 29 |
| container_start_page | E5787 |
| container_title | Proceedings of the National Academy of Sciences - PNAS |
| container_volume | 114 |
| creator | Avesar, Jonathan Rosenfeld, Dekel Truman-Rosentsvit, Marianna Ben-Arye, Tom Geffen, Yuval Bercovici, Moran Levenberg, Shulamit |
| description | Antibiotic resistance is a major global health concern that requires action across all sectors of society. In particular, to allow conservative and effective use of antibiotics clinical settings require better diagnostic tools that provide rapid determination of antimicrobial susceptibility. We present a method for rapid and scalable antimicrobial susceptibility testing using stationary nanoliter droplet arrays that is capable of delivering results in approximately half the time of conventional methods, allowing its results to be used the same working day. In addition, we present an algorithm for automated data analysis and a multiplexing system promoting practicality and translatability for clinical settings. We test the efficacy of our approach on numerous clinical isolates and demonstrate a 2-d reduction in diagnostic time when testing bacteria isolated directly from urine samples. |
| doi_str_mv | 10.1073/pnas.1703736114 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5530678</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26486695</jstor_id><sourcerecordid>26486695</sourcerecordid><originalsourceid>FETCH-LOGICAL-c509t-98288f320f6c613a2f381f28ff4f3d77ebd7d721b84421d8f32f638fe80bbbe63</originalsourceid><addsrcrecordid>eNpdkUtr3DAUhUVpaSZp11klGLrJxsnVw3psCiUkaWGgUNq1kG0p0eCRHEkuzL-vhkmTtJsruOfTQUcHoVMMlxgEvZqDyZdYABWUY8zeoBUGhVvOFLxFKwAiWskIO0LHOW8AQHUS3qMjInlHKJMrtP5hZj8284MNsexmPzQmFL_1Q4q9N1OTlzzYufjeT77smmJz8eG-WfJ-BhNiXdvUmJTMLn9A75yZsv34dJ6gX7c3P6-_tuvvd9-uv6zboQNVWiWJlI4ScHzgmBriqMSOSOeYo6MQth_FKAjuJWMEj3vUcSqdldD3veX0BH0--M5Lv7XjYENJZtJz8luTdjoar_9Vgn_Q9_G37joKXMhqcPFkkOLjUjPpra85p8kEG5esscKMKOgUVPTTf-gmLinUeJVinHVEUFqpqwNV_y3nZN3zYzDofVN635R-aareOH-d4Zn_W00Fzg7AJpeYXnTOJOeqo38ApXGbDw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1946452733</pqid></control><display><type>article</type><title>Rapid phenotypic antimicrobial susceptibility testing using nanoliter arrays</title><source>JSTOR Archive Collection A-Z Listing</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Avesar, Jonathan ; Rosenfeld, Dekel ; Truman-Rosentsvit, Marianna ; Ben-Arye, Tom ; Geffen, Yuval ; Bercovici, Moran ; Levenberg, Shulamit</creator><creatorcontrib>Avesar, Jonathan ; Rosenfeld, Dekel ; Truman-Rosentsvit, Marianna ; Ben-Arye, Tom ; Geffen, Yuval ; Bercovici, Moran ; Levenberg, Shulamit</creatorcontrib><description>Antibiotic resistance is a major global health concern that requires action across all sectors of society. In particular, to allow conservative and effective use of antibiotics clinical settings require better diagnostic tools that provide rapid determination of antimicrobial susceptibility. We present a method for rapid and scalable antimicrobial susceptibility testing using stationary nanoliter droplet arrays that is capable of delivering results in approximately half the time of conventional methods, allowing its results to be used the same working day. In addition, we present an algorithm for automated data analysis and a multiplexing system promoting practicality and translatability for clinical settings. We test the efficacy of our approach on numerous clinical isolates and demonstrate a 2-d reduction in diagnostic time when testing bacteria isolated directly from urine samples.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.1703736114</identifier><identifier>PMID: 28652348</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Antibiotic resistance ; Antibiotics ; Antiinfectives and antibacterials ; Approximation ; Bacteria ; Biological Sciences ; Biotechnology ; Clinical isolates ; Data analysis ; Data processing ; Diagnostic software ; Diagnostic systems ; Diagnostic tests ; Drug resistance ; Global health ; Multiplexing ; Physical Sciences ; PNAS Plus ; Urine</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2017-07, Vol.114 (29), p.E5787-E5795</ispartof><rights>Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles</rights><rights>Copyright National Academy of Sciences Jul 18, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-98288f320f6c613a2f381f28ff4f3d77ebd7d721b84421d8f32f638fe80bbbe63</citedby><cites>FETCH-LOGICAL-c509t-98288f320f6c613a2f381f28ff4f3d77ebd7d721b84421d8f32f638fe80bbbe63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26486695$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26486695$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,803,885,27923,27924,53790,53792,58016,58249</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28652348$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Avesar, Jonathan</creatorcontrib><creatorcontrib>Rosenfeld, Dekel</creatorcontrib><creatorcontrib>Truman-Rosentsvit, Marianna</creatorcontrib><creatorcontrib>Ben-Arye, Tom</creatorcontrib><creatorcontrib>Geffen, Yuval</creatorcontrib><creatorcontrib>Bercovici, Moran</creatorcontrib><creatorcontrib>Levenberg, Shulamit</creatorcontrib><title>Rapid phenotypic antimicrobial susceptibility testing using nanoliter arrays</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Antibiotic resistance is a major global health concern that requires action across all sectors of society. In particular, to allow conservative and effective use of antibiotics clinical settings require better diagnostic tools that provide rapid determination of antimicrobial susceptibility. We present a method for rapid and scalable antimicrobial susceptibility testing using stationary nanoliter droplet arrays that is capable of delivering results in approximately half the time of conventional methods, allowing its results to be used the same working day. In addition, we present an algorithm for automated data analysis and a multiplexing system promoting practicality and translatability for clinical settings. We test the efficacy of our approach on numerous clinical isolates and demonstrate a 2-d reduction in diagnostic time when testing bacteria isolated directly from urine samples.</description><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Antiinfectives and antibacterials</subject><subject>Approximation</subject><subject>Bacteria</subject><subject>Biological Sciences</subject><subject>Biotechnology</subject><subject>Clinical isolates</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Diagnostic software</subject><subject>Diagnostic systems</subject><subject>Diagnostic tests</subject><subject>Drug resistance</subject><subject>Global health</subject><subject>Multiplexing</subject><subject>Physical Sciences</subject><subject>PNAS Plus</subject><subject>Urine</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpdkUtr3DAUhUVpaSZp11klGLrJxsnVw3psCiUkaWGgUNq1kG0p0eCRHEkuzL-vhkmTtJsruOfTQUcHoVMMlxgEvZqDyZdYABWUY8zeoBUGhVvOFLxFKwAiWskIO0LHOW8AQHUS3qMjInlHKJMrtP5hZj8284MNsexmPzQmFL_1Q4q9N1OTlzzYufjeT77smmJz8eG-WfJ-BhNiXdvUmJTMLn9A75yZsv34dJ6gX7c3P6-_tuvvd9-uv6zboQNVWiWJlI4ScHzgmBriqMSOSOeYo6MQth_FKAjuJWMEj3vUcSqdldD3veX0BH0--M5Lv7XjYENJZtJz8luTdjoar_9Vgn_Q9_G37joKXMhqcPFkkOLjUjPpra85p8kEG5esscKMKOgUVPTTf-gmLinUeJVinHVEUFqpqwNV_y3nZN3zYzDofVN635R-aareOH-d4Zn_W00Fzg7AJpeYXnTOJOeqo38ApXGbDw</recordid><startdate>20170718</startdate><enddate>20170718</enddate><creator>Avesar, Jonathan</creator><creator>Rosenfeld, Dekel</creator><creator>Truman-Rosentsvit, Marianna</creator><creator>Ben-Arye, Tom</creator><creator>Geffen, Yuval</creator><creator>Bercovici, Moran</creator><creator>Levenberg, Shulamit</creator><general>National Academy of Sciences</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170718</creationdate><title>Rapid phenotypic antimicrobial susceptibility testing using nanoliter arrays</title><author>Avesar, Jonathan ; Rosenfeld, Dekel ; Truman-Rosentsvit, Marianna ; Ben-Arye, Tom ; Geffen, Yuval ; Bercovici, Moran ; Levenberg, Shulamit</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-98288f320f6c613a2f381f28ff4f3d77ebd7d721b84421d8f32f638fe80bbbe63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Antibiotic resistance</topic><topic>Antibiotics</topic><topic>Antiinfectives and antibacterials</topic><topic>Approximation</topic><topic>Bacteria</topic><topic>Biological Sciences</topic><topic>Biotechnology</topic><topic>Clinical isolates</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Diagnostic software</topic><topic>Diagnostic systems</topic><topic>Diagnostic tests</topic><topic>Drug resistance</topic><topic>Global health</topic><topic>Multiplexing</topic><topic>Physical Sciences</topic><topic>PNAS Plus</topic><topic>Urine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Avesar, Jonathan</creatorcontrib><creatorcontrib>Rosenfeld, Dekel</creatorcontrib><creatorcontrib>Truman-Rosentsvit, Marianna</creatorcontrib><creatorcontrib>Ben-Arye, Tom</creatorcontrib><creatorcontrib>Geffen, Yuval</creatorcontrib><creatorcontrib>Bercovici, Moran</creatorcontrib><creatorcontrib>Levenberg, Shulamit</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Avesar, Jonathan</au><au>Rosenfeld, Dekel</au><au>Truman-Rosentsvit, Marianna</au><au>Ben-Arye, Tom</au><au>Geffen, Yuval</au><au>Bercovici, Moran</au><au>Levenberg, Shulamit</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rapid phenotypic antimicrobial susceptibility testing using nanoliter arrays</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2017-07-18</date><risdate>2017</risdate><volume>114</volume><issue>29</issue><spage>E5787</spage><epage>E5795</epage><pages>E5787-E5795</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>Antibiotic resistance is a major global health concern that requires action across all sectors of society. In particular, to allow conservative and effective use of antibiotics clinical settings require better diagnostic tools that provide rapid determination of antimicrobial susceptibility. We present a method for rapid and scalable antimicrobial susceptibility testing using stationary nanoliter droplet arrays that is capable of delivering results in approximately half the time of conventional methods, allowing its results to be used the same working day. In addition, we present an algorithm for automated data analysis and a multiplexing system promoting practicality and translatability for clinical settings. We test the efficacy of our approach on numerous clinical isolates and demonstrate a 2-d reduction in diagnostic time when testing bacteria isolated directly from urine samples.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>28652348</pmid><doi>10.1073/pnas.1703736114</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0027-8424 |
| ispartof | Proceedings of the National Academy of Sciences - PNAS, 2017-07, Vol.114 (29), p.E5787-E5795 |
| issn | 0027-8424 1091-6490 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5530678 |
| source | JSTOR Archive Collection A-Z Listing; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Antibiotic resistance Antibiotics Antiinfectives and antibacterials Approximation Bacteria Biological Sciences Biotechnology Clinical isolates Data analysis Data processing Diagnostic software Diagnostic systems Diagnostic tests Drug resistance Global health Multiplexing Physical Sciences PNAS Plus Urine |
| title | Rapid phenotypic antimicrobial susceptibility testing using nanoliter arrays |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T13%3A17%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Rapid%20phenotypic%20antimicrobial%20susceptibility%20testing%20using%20nanoliter%20arrays&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20-%20PNAS&rft.au=Avesar,%20Jonathan&rft.date=2017-07-18&rft.volume=114&rft.issue=29&rft.spage=E5787&rft.epage=E5795&rft.pages=E5787-E5795&rft.issn=0027-8424&rft.eissn=1091-6490&rft_id=info:doi/10.1073/pnas.1703736114&rft_dat=%3Cjstor_pubme%3E26486695%3C/jstor_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1946452733&rft_id=info:pmid/28652348&rft_jstor_id=26486695&rfr_iscdi=true |