Translational systems biology of inflammation
Inflammation is a complex, multi-scale biologic response to stress that is also required for repair and regeneration after injury. Despite the repository of detailed data about the cellular and molecular processes involved in inflammation, including some understanding of its pathophysiology, little...
Gespeichert in:
Veröffentlicht in: | PLoS computational biology 2008-04, Vol.4 (4), p.e1000014-e1000014 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e1000014 |
---|---|
container_issue | 4 |
container_start_page | e1000014 |
container_title | PLoS computational biology |
container_volume | 4 |
creator | Vodovotz, Yoram Csete, Marie Bartels, John Chang, Steven An, Gary |
description | Inflammation is a complex, multi-scale biologic response to stress that is also required for repair and regeneration after injury. Despite the repository of detailed data about the cellular and molecular processes involved in inflammation, including some understanding of its pathophysiology, little progress has been made in treating the severe inflammatory syndrome of sepsis. To address the gap between basic science knowledge and therapy for sepsis, a community of biologists and physicians is using systems biology approaches in hopes of yielding basic insights into the biology of inflammation. "Systems biology" is a discipline that combines experimental discovery with mathematical modeling to aid in the understanding of the dynamic global organization and function of a biologic system (cell to organ to organism). We propose the term translational systems biology for the application of similar tools and engineering principles to biologic systems with the primary goal of optimizing clinical practice. We describe the efforts to use translational systems biology to develop an integrated framework to gain insight into the problem of acute inflammation. Progress in understanding inflammation using translational systems biology tools highlights the promise of this multidisciplinary field. Future advances in understanding complex medical problems are highly dependent on methodological advances and integration of the computational systems biology community with biologists and clinicians. |
doi_str_mv | 10.1371/journal.pcbi.1000014 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1312475333</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A203231893</galeid><doaj_id>oai_doaj_org_article_d5fc7385c95347be9e3909ed9a86396a</doaj_id><sourcerecordid>A203231893</sourcerecordid><originalsourceid>FETCH-LOGICAL-c603t-7f6021d7b24464bbc40c4d5a9f30c8e8b62835148a71c756f519ab1a3055e53b3</originalsourceid><addsrcrecordid>eNqVkk2PFCEQhonRuOvoPzA6JxMPPUIXNHAx2Wz8mGSjia5nAjTdMqGbEbqN8-9ldlrdOQoHKsVTL1TlReg5wRsCnLzZxTmNOmz21vgNwWUR-gBdEsag4sDEw3vxBXqS8w7jEsrmMbogggKvQV6i6jbpMQc9-VjE1vmQJzfktfExxP6wjt3aj13Qw3BHPEWPOh2ye7acK_Tt_bvb64_VzecP2-urm8o2GKaKdw2uSctNTWlDjbEUW9oyLTvAVjhhmloAI1RoTixnTceI1IZowIw5BgZW6OVJdx9iVkunWREgNeUMylqh7Yloo96pffKDTgcVtVd3iZh6pdPkbXCqZZ3lIJiVDCg3TjqQWLpWatGAbHTReru8NpvBtdaNU9LhTPT8ZvTfVR9_qhpqyQUpAq8WgRR_zC5PavDZuhD06OKcVSMJSEFlATcnsNflY2WysejZsls3eBtH1_mSv6ox1ECEPLb5-qygMJP7NfV6zlltv375D_bTOUtPrE0x5-S6v90SrI72-jN0dbSXWuxVyl7cn9S_osVP8Bv6z8tB</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>69139849</pqid></control><display><type>article</type><title>Translational systems biology of inflammation</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>PubMed Central</source><creator>Vodovotz, Yoram ; Csete, Marie ; Bartels, John ; Chang, Steven ; An, Gary</creator><contributor>McEntyre, Johanna</contributor><creatorcontrib>Vodovotz, Yoram ; Csete, Marie ; Bartels, John ; Chang, Steven ; An, Gary ; McEntyre, Johanna</creatorcontrib><description>Inflammation is a complex, multi-scale biologic response to stress that is also required for repair and regeneration after injury. Despite the repository of detailed data about the cellular and molecular processes involved in inflammation, including some understanding of its pathophysiology, little progress has been made in treating the severe inflammatory syndrome of sepsis. To address the gap between basic science knowledge and therapy for sepsis, a community of biologists and physicians is using systems biology approaches in hopes of yielding basic insights into the biology of inflammation. "Systems biology" is a discipline that combines experimental discovery with mathematical modeling to aid in the understanding of the dynamic global organization and function of a biologic system (cell to organ to organism). We propose the term translational systems biology for the application of similar tools and engineering principles to biologic systems with the primary goal of optimizing clinical practice. We describe the efforts to use translational systems biology to develop an integrated framework to gain insight into the problem of acute inflammation. Progress in understanding inflammation using translational systems biology tools highlights the promise of this multidisciplinary field. Future advances in understanding complex medical problems are highly dependent on methodological advances and integration of the computational systems biology community with biologists and clinicians.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1000014</identifier><identifier>PMID: 18437239</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Bioinformatics ; Biology ; Biomedical research ; Biotechnology ; Clinical trials ; Computational Biology/Systems Biology ; Computer Simulation ; Cytokines - immunology ; Disease ; Experiments ; Genomics ; Humans ; Immunity, Innate - immunology ; Immunologic Factors - immunology ; Immunology/Immune Response ; Immunology/Immunity to Infections ; Immunology/Innate Immunity ; Inflammation - immunology ; Mathematical models ; Models, Immunological ; Physiology/Immune Response ; Physiology/Immunity to Infections ; Review ; Sepsis ; Statistical methods ; Studies ; Syntax ; Systems Biology - methods ; Tissue engineering</subject><ispartof>PLoS computational biology, 2008-04, Vol.4 (4), p.e1000014-e1000014</ispartof><rights>COPYRIGHT 2008 Public Library of Science</rights><rights>Vodovotz et al. 2008</rights><rights>2008 Vodovotz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Vodovotz Y, Csete M, Bartels J, Chang S, An G (2008) Translational Systems Biology of Inflammation. PLoS Comput Biol 4(4): e1000014. doi:10.1371/journal.pcbi.1000014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c603t-7f6021d7b24464bbc40c4d5a9f30c8e8b62835148a71c756f519ab1a3055e53b3</citedby><cites>FETCH-LOGICAL-c603t-7f6021d7b24464bbc40c4d5a9f30c8e8b62835148a71c756f519ab1a3055e53b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2329781/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2329781/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18437239$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>McEntyre, Johanna</contributor><creatorcontrib>Vodovotz, Yoram</creatorcontrib><creatorcontrib>Csete, Marie</creatorcontrib><creatorcontrib>Bartels, John</creatorcontrib><creatorcontrib>Chang, Steven</creatorcontrib><creatorcontrib>An, Gary</creatorcontrib><title>Translational systems biology of inflammation</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>Inflammation is a complex, multi-scale biologic response to stress that is also required for repair and regeneration after injury. Despite the repository of detailed data about the cellular and molecular processes involved in inflammation, including some understanding of its pathophysiology, little progress has been made in treating the severe inflammatory syndrome of sepsis. To address the gap between basic science knowledge and therapy for sepsis, a community of biologists and physicians is using systems biology approaches in hopes of yielding basic insights into the biology of inflammation. "Systems biology" is a discipline that combines experimental discovery with mathematical modeling to aid in the understanding of the dynamic global organization and function of a biologic system (cell to organ to organism). We propose the term translational systems biology for the application of similar tools and engineering principles to biologic systems with the primary goal of optimizing clinical practice. We describe the efforts to use translational systems biology to develop an integrated framework to gain insight into the problem of acute inflammation. Progress in understanding inflammation using translational systems biology tools highlights the promise of this multidisciplinary field. Future advances in understanding complex medical problems are highly dependent on methodological advances and integration of the computational systems biology community with biologists and clinicians.</description><subject>Animals</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biomedical research</subject><subject>Biotechnology</subject><subject>Clinical trials</subject><subject>Computational Biology/Systems Biology</subject><subject>Computer Simulation</subject><subject>Cytokines - immunology</subject><subject>Disease</subject><subject>Experiments</subject><subject>Genomics</subject><subject>Humans</subject><subject>Immunity, Innate - immunology</subject><subject>Immunologic Factors - immunology</subject><subject>Immunology/Immune Response</subject><subject>Immunology/Immunity to Infections</subject><subject>Immunology/Innate Immunity</subject><subject>Inflammation - immunology</subject><subject>Mathematical models</subject><subject>Models, Immunological</subject><subject>Physiology/Immune Response</subject><subject>Physiology/Immunity to Infections</subject><subject>Review</subject><subject>Sepsis</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>Syntax</subject><subject>Systems Biology - methods</subject><subject>Tissue engineering</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNqVkk2PFCEQhonRuOvoPzA6JxMPPUIXNHAx2Wz8mGSjia5nAjTdMqGbEbqN8-9ldlrdOQoHKsVTL1TlReg5wRsCnLzZxTmNOmz21vgNwWUR-gBdEsag4sDEw3vxBXqS8w7jEsrmMbogggKvQV6i6jbpMQc9-VjE1vmQJzfktfExxP6wjt3aj13Qw3BHPEWPOh2ye7acK_Tt_bvb64_VzecP2-urm8o2GKaKdw2uSctNTWlDjbEUW9oyLTvAVjhhmloAI1RoTixnTceI1IZowIw5BgZW6OVJdx9iVkunWREgNeUMylqh7Yloo96pffKDTgcVtVd3iZh6pdPkbXCqZZ3lIJiVDCg3TjqQWLpWatGAbHTReru8NpvBtdaNU9LhTPT8ZvTfVR9_qhpqyQUpAq8WgRR_zC5PavDZuhD06OKcVSMJSEFlATcnsNflY2WysejZsls3eBtH1_mSv6ox1ECEPLb5-qygMJP7NfV6zlltv375D_bTOUtPrE0x5-S6v90SrI72-jN0dbSXWuxVyl7cn9S_osVP8Bv6z8tB</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Vodovotz, Yoram</creator><creator>Csete, Marie</creator><creator>Bartels, John</creator><creator>Chang, Steven</creator><creator>An, Gary</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>ISN</scope><scope>ISR</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20080401</creationdate><title>Translational systems biology of inflammation</title><author>Vodovotz, Yoram ; Csete, Marie ; Bartels, John ; Chang, Steven ; An, Gary</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c603t-7f6021d7b24464bbc40c4d5a9f30c8e8b62835148a71c756f519ab1a3055e53b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Animals</topic><topic>Bioinformatics</topic><topic>Biology</topic><topic>Biomedical research</topic><topic>Biotechnology</topic><topic>Clinical trials</topic><topic>Computational Biology/Systems Biology</topic><topic>Computer Simulation</topic><topic>Cytokines - immunology</topic><topic>Disease</topic><topic>Experiments</topic><topic>Genomics</topic><topic>Humans</topic><topic>Immunity, Innate - immunology</topic><topic>Immunologic Factors - immunology</topic><topic>Immunology/Immune Response</topic><topic>Immunology/Immunity to Infections</topic><topic>Immunology/Innate Immunity</topic><topic>Inflammation - immunology</topic><topic>Mathematical models</topic><topic>Models, Immunological</topic><topic>Physiology/Immune Response</topic><topic>Physiology/Immunity to Infections</topic><topic>Review</topic><topic>Sepsis</topic><topic>Statistical methods</topic><topic>Studies</topic><topic>Syntax</topic><topic>Systems Biology - methods</topic><topic>Tissue engineering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vodovotz, Yoram</creatorcontrib><creatorcontrib>Csete, Marie</creatorcontrib><creatorcontrib>Bartels, John</creatorcontrib><creatorcontrib>Chang, Steven</creatorcontrib><creatorcontrib>An, Gary</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vodovotz, Yoram</au><au>Csete, Marie</au><au>Bartels, John</au><au>Chang, Steven</au><au>An, Gary</au><au>McEntyre, Johanna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Translational systems biology of inflammation</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2008-04-01</date><risdate>2008</risdate><volume>4</volume><issue>4</issue><spage>e1000014</spage><epage>e1000014</epage><pages>e1000014-e1000014</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Inflammation is a complex, multi-scale biologic response to stress that is also required for repair and regeneration after injury. Despite the repository of detailed data about the cellular and molecular processes involved in inflammation, including some understanding of its pathophysiology, little progress has been made in treating the severe inflammatory syndrome of sepsis. To address the gap between basic science knowledge and therapy for sepsis, a community of biologists and physicians is using systems biology approaches in hopes of yielding basic insights into the biology of inflammation. "Systems biology" is a discipline that combines experimental discovery with mathematical modeling to aid in the understanding of the dynamic global organization and function of a biologic system (cell to organ to organism). We propose the term translational systems biology for the application of similar tools and engineering principles to biologic systems with the primary goal of optimizing clinical practice. We describe the efforts to use translational systems biology to develop an integrated framework to gain insight into the problem of acute inflammation. Progress in understanding inflammation using translational systems biology tools highlights the promise of this multidisciplinary field. Future advances in understanding complex medical problems are highly dependent on methodological advances and integration of the computational systems biology community with biologists and clinicians.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>18437239</pmid><doi>10.1371/journal.pcbi.1000014</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1553-7358 |
ispartof | PLoS computational biology, 2008-04, Vol.4 (4), p.e1000014-e1000014 |
issn | 1553-7358 1553-734X 1553-7358 |
language | eng |
recordid | cdi_plos_journals_1312475333 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central |
subjects | Animals Bioinformatics Biology Biomedical research Biotechnology Clinical trials Computational Biology/Systems Biology Computer Simulation Cytokines - immunology Disease Experiments Genomics Humans Immunity, Innate - immunology Immunologic Factors - immunology Immunology/Immune Response Immunology/Immunity to Infections Immunology/Innate Immunity Inflammation - immunology Mathematical models Models, Immunological Physiology/Immune Response Physiology/Immunity to Infections Review Sepsis Statistical methods Studies Syntax Systems Biology - methods Tissue engineering |
title | Translational systems biology of inflammation |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T08%3A26%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Translational%20systems%20biology%20of%20inflammation&rft.jtitle=PLoS%20computational%20biology&rft.au=Vodovotz,%20Yoram&rft.date=2008-04-01&rft.volume=4&rft.issue=4&rft.spage=e1000014&rft.epage=e1000014&rft.pages=e1000014-e1000014&rft.issn=1553-7358&rft.eissn=1553-7358&rft_id=info:doi/10.1371/journal.pcbi.1000014&rft_dat=%3Cgale_plos_%3EA203231893%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=69139849&rft_id=info:pmid/18437239&rft_galeid=A203231893&rft_doaj_id=oai_doaj_org_article_d5fc7385c95347be9e3909ed9a86396a&rfr_iscdi=true |