Inhibition of quorum sensing in a computational biofilm simulation
Bacteria communicate through small diffusible molecules in a process known as quorum sensing. Quorum-sensing inhibitors are compounds which interfere with this, providing a potential treatment for infections associated with bacterial biofilms. We present an individual-based computational model for a...
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Veröffentlicht in: | BioSystems 2012-08, Vol.109 (2), p.105-114 |
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creator | Fozard, J.A. Lees, M. King, J.R. Logan, B.S. |
description | Bacteria communicate through small diffusible molecules in a process known as quorum sensing. Quorum-sensing inhibitors are compounds which interfere with this, providing a potential treatment for infections associated with bacterial biofilms. We present an individual-based computational model for a developing biofilm. Cells are aggregated into particles for computational efficiency, but the quorum-sensing mechanism is modelled as a stochastic process on the level of individual cells.
Simulations are used to investigate different treatment regimens. The response to the addition of inhibitor is found to depend significantly on the form of the positive feedback in the quorum-sensing model; in cases where the model exhibits bistability, the time at which treatment is initiated proves to be critical for the effective prevention of quorum sensing and hence potentially of virulence. |
doi_str_mv | 10.1016/j.biosystems.2012.02.002 |
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Simulations are used to investigate different treatment regimens. The response to the addition of inhibitor is found to depend significantly on the form of the positive feedback in the quorum-sensing model; in cases where the model exhibits bistability, the time at which treatment is initiated proves to be critical for the effective prevention of quorum sensing and hence potentially of virulence.</description><identifier>ISSN: 0303-2647</identifier><identifier>EISSN: 1872-8324</identifier><identifier>DOI: 10.1016/j.biosystems.2012.02.002</identifier><identifier>PMID: 22374433</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Bacteria ; Biofilms ; Inhibitor ; Models, Theoretical ; Quorum Sensing ; Simulation</subject><ispartof>BioSystems, 2012-08, Vol.109 (2), p.105-114</ispartof><rights>2012 Elsevier Ireland Ltd</rights><rights>Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-330c333442b212f1e2352040578b9655fefe090554ed82e01b4ad52fcd437d1b3</citedby><cites>FETCH-LOGICAL-c490t-330c333442b212f1e2352040578b9655fefe090554ed82e01b4ad52fcd437d1b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.biosystems.2012.02.002$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22374433$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fozard, J.A.</creatorcontrib><creatorcontrib>Lees, M.</creatorcontrib><creatorcontrib>King, J.R.</creatorcontrib><creatorcontrib>Logan, B.S.</creatorcontrib><title>Inhibition of quorum sensing in a computational biofilm simulation</title><title>BioSystems</title><addtitle>Biosystems</addtitle><description>Bacteria communicate through small diffusible molecules in a process known as quorum sensing. Quorum-sensing inhibitors are compounds which interfere with this, providing a potential treatment for infections associated with bacterial biofilms. We present an individual-based computational model for a developing biofilm. Cells are aggregated into particles for computational efficiency, but the quorum-sensing mechanism is modelled as a stochastic process on the level of individual cells.
Simulations are used to investigate different treatment regimens. The response to the addition of inhibitor is found to depend significantly on the form of the positive feedback in the quorum-sensing model; in cases where the model exhibits bistability, the time at which treatment is initiated proves to be critical for the effective prevention of quorum sensing and hence potentially of virulence.</description><subject>Bacteria</subject><subject>Biofilms</subject><subject>Inhibitor</subject><subject>Models, Theoretical</subject><subject>Quorum Sensing</subject><subject>Simulation</subject><issn>0303-2647</issn><issn>1872-8324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1PwzAMhiMEYmPwF1CPXFocJ1nbI5v4mDSJC5yjNnUhU9tsTYu0f0_G-DhivZIl67Ff-WUs4pBw4PPbTVJa5_d-oNYnCBwTCAI8YVOepRhnAuUpm4IAEeNcphN24f0GQqmMn7MJokilFGLKFqvu3ZZ2sK6LXB3tRtePbeSp87Z7i2wXFZFx7XYcigNSNFEwrm0TENuOzdfwkp3VRePp6rvP2OvD_cvyKV4_P66Wd-vYyByGWAgwQggpsUSONScUCkGCSrMynytVU02Qg1KSqgwJeCmLSmFtKinSipdixm6Od7e9243kB91ab6hpio7c6DUHlELxPOMBzY6o6Z33PdV629u26PcB0ocE9Ub_JagPCWoIAgyr198uY9lS9bv4E1kAFkeAwq8flnrtjaXOUGV7MoOunP3f5RMKo4b5</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Fozard, J.A.</creator><creator>Lees, M.</creator><creator>King, J.R.</creator><creator>Logan, B.S.</creator><general>Elsevier Ireland Ltd</general><scope>6I.</scope><scope>AAFTH</scope><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>201208</creationdate><title>Inhibition of quorum sensing in a computational biofilm simulation</title><author>Fozard, J.A. ; Lees, M. ; King, J.R. ; Logan, B.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-330c333442b212f1e2352040578b9655fefe090554ed82e01b4ad52fcd437d1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bacteria</topic><topic>Biofilms</topic><topic>Inhibitor</topic><topic>Models, Theoretical</topic><topic>Quorum Sensing</topic><topic>Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fozard, J.A.</creatorcontrib><creatorcontrib>Lees, M.</creatorcontrib><creatorcontrib>King, J.R.</creatorcontrib><creatorcontrib>Logan, B.S.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><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>BioSystems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fozard, J.A.</au><au>Lees, M.</au><au>King, J.R.</au><au>Logan, B.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inhibition of quorum sensing in a computational biofilm simulation</atitle><jtitle>BioSystems</jtitle><addtitle>Biosystems</addtitle><date>2012-08</date><risdate>2012</risdate><volume>109</volume><issue>2</issue><spage>105</spage><epage>114</epage><pages>105-114</pages><issn>0303-2647</issn><eissn>1872-8324</eissn><abstract>Bacteria communicate through small diffusible molecules in a process known as quorum sensing. Quorum-sensing inhibitors are compounds which interfere with this, providing a potential treatment for infections associated with bacterial biofilms. We present an individual-based computational model for a developing biofilm. Cells are aggregated into particles for computational efficiency, but the quorum-sensing mechanism is modelled as a stochastic process on the level of individual cells.
Simulations are used to investigate different treatment regimens. The response to the addition of inhibitor is found to depend significantly on the form of the positive feedback in the quorum-sensing model; in cases where the model exhibits bistability, the time at which treatment is initiated proves to be critical for the effective prevention of quorum sensing and hence potentially of virulence.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>22374433</pmid><doi>10.1016/j.biosystems.2012.02.002</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bacteria Biofilms Inhibitor Models, Theoretical Quorum Sensing Simulation |
title | Inhibition of quorum sensing in a computational biofilm simulation |
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