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Computational Modeling of Microabscess Formation
Bacterial infections can be of two types: acute or chronic. The chronic bacterial infections are characterized by being a large bacterial infection and/or an infection where the bacteria grows rapidly. In these cases, the immune response is not capable of completely eliminating the infection which m...
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Published in: | Computational and mathematical methods in medicine 2012-01, Vol.2012 (2012), p.1-16 |
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container_title | Computational and mathematical methods in medicine |
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creator | Pigozzo, Alexandre Bittencourt Macedo, Gilson Costa dos Santos, Rodrigo Weber Lobosco, Marcelo |
description | Bacterial infections can be of two types: acute or chronic. The chronic bacterial infections are characterized by being a large bacterial infection and/or an infection where the bacteria grows rapidly. In these cases, the immune response is not capable of completely eliminating the infection which may lead to the formation of a pattern known as microabscess (or abscess). The microabscess is characterized by an area comprising fluids, bacteria, immune cells (mainly neutrophils), and many types of dead cells. This distinct pattern of formation can only be numerically reproduced and studied by models that capture the spatiotemporal dynamics of the human immune system (HIS). In this context, our work aims to develop and implement an initial computational model to study the process of microabscess formation during a bacterial infection. |
doi_str_mv | 10.1155/2012/736394 |
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The chronic bacterial infections are characterized by being a large bacterial infection and/or an infection where the bacteria grows rapidly. In these cases, the immune response is not capable of completely eliminating the infection which may lead to the formation of a pattern known as microabscess (or abscess). The microabscess is characterized by an area comprising fluids, bacteria, immune cells (mainly neutrophils), and many types of dead cells. This distinct pattern of formation can only be numerically reproduced and studied by models that capture the spatiotemporal dynamics of the human immune system (HIS). In this context, our work aims to develop and implement an initial computational model to study the process of microabscess formation during a bacterial infection.</description><identifier>ISSN: 1748-670X</identifier><identifier>EISSN: 1748-6718</identifier><identifier>DOI: 10.1155/2012/736394</identifier><identifier>PMID: 23197993</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Abscess - microbiology ; Abscess - physiopathology ; Algorithms ; Apoptosis ; Bacterial Infections ; Computer Simulation ; Cytokines - metabolism ; Humans ; Immune System ; Macrophages - immunology ; Macrophages - microbiology ; Models, Biological ; Models, Theoretical ; Neutrophils - immunology ; Neutrophils - microbiology ; Time Factors</subject><ispartof>Computational and mathematical methods in medicine, 2012-01, Vol.2012 (2012), p.1-16</ispartof><rights>Copyright © 2012 Alexandre Bittencourt Pigozzo et al.</rights><rights>Copyright © 2012 Alexandre Bittencourt Pigozzo et al. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-3e421f5aa28a0be0eec696258a90594ecc256b4080436826f3ac62a8cd0c20e83</citedby><cites>FETCH-LOGICAL-c438t-3e421f5aa28a0be0eec696258a90594ecc256b4080436826f3ac62a8cd0c20e83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23197993$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Brusic, Vladimir</contributor><creatorcontrib>Pigozzo, Alexandre Bittencourt</creatorcontrib><creatorcontrib>Macedo, Gilson Costa</creatorcontrib><creatorcontrib>dos Santos, Rodrigo Weber</creatorcontrib><creatorcontrib>Lobosco, Marcelo</creatorcontrib><title>Computational Modeling of Microabscess Formation</title><title>Computational and mathematical methods in medicine</title><addtitle>Comput Math Methods Med</addtitle><description>Bacterial infections can be of two types: acute or chronic. The chronic bacterial infections are characterized by being a large bacterial infection and/or an infection where the bacteria grows rapidly. In these cases, the immune response is not capable of completely eliminating the infection which may lead to the formation of a pattern known as microabscess (or abscess). The microabscess is characterized by an area comprising fluids, bacteria, immune cells (mainly neutrophils), and many types of dead cells. This distinct pattern of formation can only be numerically reproduced and studied by models that capture the spatiotemporal dynamics of the human immune system (HIS). In this context, our work aims to develop and implement an initial computational model to study the process of microabscess formation during a bacterial infection.</description><subject>Abscess - microbiology</subject><subject>Abscess - physiopathology</subject><subject>Algorithms</subject><subject>Apoptosis</subject><subject>Bacterial Infections</subject><subject>Computer Simulation</subject><subject>Cytokines - metabolism</subject><subject>Humans</subject><subject>Immune System</subject><subject>Macrophages - immunology</subject><subject>Macrophages - microbiology</subject><subject>Models, Biological</subject><subject>Models, Theoretical</subject><subject>Neutrophils - immunology</subject><subject>Neutrophils - microbiology</subject><subject>Time Factors</subject><issn>1748-670X</issn><issn>1748-6718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqF0M1LwzAYBvAgipsfJ89Kj6LU5bNNLoIMp8KGFwVvIU3TLdI2s2kV_3szO4uePOWF_HiS9wHgBMErhBibYIjwJCUJEXQHjFFKeZykiO8OM3wZgQPvXyFkKGVoH4wwQSIVgowBnLpq3bWqta5WZbRwuSltvYxcES2sbpzKvDbeRzPXVN_oCOwVqvTmeHsegufZ7dP0Pp4_3j1Mb-axpoS3MTEUo4IphbmCmYHG6EQkmHElIBPUaI1ZklHIISUJx0lBlE6w4jqHGkPDySG47nPXXVaZXJu6bVQp142tVPMpnbLy701tV3Lp3iVhEPOUhoDzbUDj3jrjW1nZsEtZqtq4zkuEMUKEhIoCvexpWNj7xhTDMwjKTcdy07HsOw767PfPBvtTagAXPVjZOlcf9p-00x6bQEyhBkwFZSIlX-UMjWc</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Pigozzo, Alexandre Bittencourt</creator><creator>Macedo, Gilson Costa</creator><creator>dos Santos, Rodrigo Weber</creator><creator>Lobosco, Marcelo</creator><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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><scope>5PM</scope></search><sort><creationdate>20120101</creationdate><title>Computational Modeling of Microabscess Formation</title><author>Pigozzo, Alexandre Bittencourt ; Macedo, Gilson Costa ; dos Santos, Rodrigo Weber ; Lobosco, Marcelo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-3e421f5aa28a0be0eec696258a90594ecc256b4080436826f3ac62a8cd0c20e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Abscess - microbiology</topic><topic>Abscess - physiopathology</topic><topic>Algorithms</topic><topic>Apoptosis</topic><topic>Bacterial Infections</topic><topic>Computer Simulation</topic><topic>Cytokines - metabolism</topic><topic>Humans</topic><topic>Immune System</topic><topic>Macrophages - immunology</topic><topic>Macrophages - microbiology</topic><topic>Models, Biological</topic><topic>Models, Theoretical</topic><topic>Neutrophils - immunology</topic><topic>Neutrophils - microbiology</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pigozzo, Alexandre Bittencourt</creatorcontrib><creatorcontrib>Macedo, Gilson Costa</creatorcontrib><creatorcontrib>dos Santos, Rodrigo Weber</creatorcontrib><creatorcontrib>Lobosco, Marcelo</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing 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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Computational and mathematical methods in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pigozzo, Alexandre Bittencourt</au><au>Macedo, Gilson Costa</au><au>dos Santos, Rodrigo Weber</au><au>Lobosco, Marcelo</au><au>Brusic, Vladimir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational Modeling of Microabscess Formation</atitle><jtitle>Computational and mathematical methods in medicine</jtitle><addtitle>Comput Math Methods Med</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>2012</volume><issue>2012</issue><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>1748-670X</issn><eissn>1748-6718</eissn><abstract>Bacterial infections can be of two types: acute or chronic. 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subjects | Abscess - microbiology Abscess - physiopathology Algorithms Apoptosis Bacterial Infections Computer Simulation Cytokines - metabolism Humans Immune System Macrophages - immunology Macrophages - microbiology Models, Biological Models, Theoretical Neutrophils - immunology Neutrophils - microbiology Time Factors |
title | Computational Modeling of Microabscess Formation |
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