Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies
Plus-strand RNA viruses are the largest group of viruses. Many are human pathogens that inflict a socio-economic burden. Interestingly, plus-strand RNA viruses share remarkable similarities in their replication. A hallmark of plus-strand RNA viruses is the remodeling of intracellular membranes to es...
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creator | Zitzmann, Carolin Dächert, Christopher Schmid, Bianca van der Schaar, Hilde van Hemert, Martijn Perelson, Alan S van Kuppeveld, Frank J M Bartenschlager, Ralf Binder, Marco Kaderali, Lars |
description | Plus-strand RNA viruses are the largest group of viruses. Many are human pathogens that inflict a socio-economic burden. Interestingly, plus-strand RNA viruses share remarkable similarities in their replication. A hallmark of plus-strand RNA viruses is the remodeling of intracellular membranes to establish replication organelles (so-called "replication factories"), which provide a protected environment for the replicase complex, consisting of the viral genome and proteins necessary for viral RNA synthesis. In the current study, we investigate pan-viral similarities and virus-specific differences in the life cycle of this highly relevant group of viruses. We first measured the kinetics of viral RNA, viral protein, and infectious virus particle production of hepatitis C virus (HCV), dengue virus (DENV), and coxsackievirus B3 (CVB3) in the immuno-compromised Huh7 cell line and thus without perturbations by an intrinsic immune response. Based on these measurements, we developed a detailed mathematical model of the replication of HCV, DENV, and CVB3 and showed that only small virus-specific changes in the model were necessary to describe the in vitro dynamics of the different viruses. Our model correctly predicted virus-specific mechanisms such as host cell translation shut off and different kinetics of replication organelles. Further, our model suggests that the ability to suppress or shut down host cell mRNA translation may be a key factor for in vitro replication efficiency, which may determine acute self-limited or chronic infection. We further analyzed potential broad-spectrum antiviral treatment options in silico and found that targeting viral RNA translation, such as polyprotein cleavage and viral RNA synthesis, may be the most promising drug targets for all plus-strand RNA viruses. Moreover, we found that targeting only the formation of replicase complexes did not stop the in vitro viral replication early in infection, while inhibiting intracellular trafficking processes may even lead to amplified viral growth. |
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Many are human pathogens that inflict a socio-economic burden. Interestingly, plus-strand RNA viruses share remarkable similarities in their replication. A hallmark of plus-strand RNA viruses is the remodeling of intracellular membranes to establish replication organelles (so-called "replication factories"), which provide a protected environment for the replicase complex, consisting of the viral genome and proteins necessary for viral RNA synthesis. In the current study, we investigate pan-viral similarities and virus-specific differences in the life cycle of this highly relevant group of viruses. We first measured the kinetics of viral RNA, viral protein, and infectious virus particle production of hepatitis C virus (HCV), dengue virus (DENV), and coxsackievirus B3 (CVB3) in the immuno-compromised Huh7 cell line and thus without perturbations by an intrinsic immune response. Based on these measurements, we developed a detailed mathematical model of the replication of HCV, DENV, and CVB3 and showed that only small virus-specific changes in the model were necessary to describe the in vitro dynamics of the different viruses. Our model correctly predicted virus-specific mechanisms such as host cell translation shut off and different kinetics of replication organelles. Further, our model suggests that the ability to suppress or shut down host cell mRNA translation may be a key factor for in vitro replication efficiency, which may determine acute self-limited or chronic infection. We further analyzed potential broad-spectrum antiviral treatment options in silico and found that targeting viral RNA translation, such as polyprotein cleavage and viral RNA synthesis, may be the most promising drug targets for all plus-strand RNA viruses. Moreover, we found that targeting only the formation of replicase complexes did not stop the in vitro viral replication early in infection, while inhibiting intracellular trafficking processes may even lead to amplified viral growth.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/JOURNAL.PCBI.1010423</identifier><identifier>PMID: 37014904</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Antiviral agents ; Antiviral Agents - pharmacology ; Biology and life sciences ; Chronic infection ; Genomes ; Health aspects ; Hepatitis C ; Humans ; Immune response ; Immune system ; Infectious diseases ; Intracellular ; Kinetics ; Life cycles ; Mathematical analysis ; Mathematical models ; Medicine and Health Sciences ; Models, Theoretical ; mRNA ; Organelles ; Pandemics ; Particle production ; Perturbation ; Product development ; Proteins ; Replicase ; Replication ; Research and analysis methods ; RNA Viruses ; RNA, Viral - genetics ; Similarity ; Synthesis ; Therapeutic targets ; Transcription ; Translation ; Vector-borne diseases ; Virus Replication - physiology ; Viruses ; Zika virus</subject><ispartof>PLoS computational biology, 2023-04, Vol.19 (4), p.e1010423-e1010423</ispartof><rights>Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c638t-60c85e61c9a38b97e313bab7ce75a2fff0dbb3a53e2f06b4aac9d157546cee6f3</cites><orcidid>0000-0002-2359-2294 ; 0000-0001-6441-3099 ; 0000-0002-2455-0002 ; 0000000164413099 ; 0000000224550002 ; 0000000223592294</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104377/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104377/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37014904$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1968339$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><contributor>Kasson, Peter M.</contributor><creatorcontrib>Zitzmann, Carolin</creatorcontrib><creatorcontrib>Dächert, Christopher</creatorcontrib><creatorcontrib>Schmid, Bianca</creatorcontrib><creatorcontrib>van der Schaar, Hilde</creatorcontrib><creatorcontrib>van Hemert, Martijn</creatorcontrib><creatorcontrib>Perelson, Alan S</creatorcontrib><creatorcontrib>van Kuppeveld, Frank J M</creatorcontrib><creatorcontrib>Bartenschlager, Ralf</creatorcontrib><creatorcontrib>Binder, Marco</creatorcontrib><creatorcontrib>Kaderali, Lars</creatorcontrib><title>Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies</title><title>PLoS computational biology</title><addtitle>PLoS Comput Biol</addtitle><description>Plus-strand RNA viruses are the largest group of viruses. 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Based on these measurements, we developed a detailed mathematical model of the replication of HCV, DENV, and CVB3 and showed that only small virus-specific changes in the model were necessary to describe the in vitro dynamics of the different viruses. Our model correctly predicted virus-specific mechanisms such as host cell translation shut off and different kinetics of replication organelles. Further, our model suggests that the ability to suppress or shut down host cell mRNA translation may be a key factor for in vitro replication efficiency, which may determine acute self-limited or chronic infection. We further analyzed potential broad-spectrum antiviral treatment options in silico and found that targeting viral RNA translation, such as polyprotein cleavage and viral RNA synthesis, may be the most promising drug targets for all plus-strand RNA viruses. Moreover, we found that targeting only the formation of replicase complexes did not stop the in vitro viral replication early in infection, while inhibiting intracellular trafficking processes may even lead to amplified viral growth.</description><subject>Antiviral agents</subject><subject>Antiviral Agents - pharmacology</subject><subject>Biology and life sciences</subject><subject>Chronic infection</subject><subject>Genomes</subject><subject>Health aspects</subject><subject>Hepatitis C</subject><subject>Humans</subject><subject>Immune response</subject><subject>Immune system</subject><subject>Infectious diseases</subject><subject>Intracellular</subject><subject>Kinetics</subject><subject>Life cycles</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Models, Theoretical</subject><subject>mRNA</subject><subject>Organelles</subject><subject>Pandemics</subject><subject>Particle production</subject><subject>Perturbation</subject><subject>Product development</subject><subject>Proteins</subject><subject>Replicase</subject><subject>Replication</subject><subject>Research and analysis methods</subject><subject>RNA Viruses</subject><subject>RNA, Viral - genetics</subject><subject>Similarity</subject><subject>Synthesis</subject><subject>Therapeutic targets</subject><subject>Transcription</subject><subject>Translation</subject><subject>Vector-borne diseases</subject><subject>Virus Replication - physiology</subject><subject>Viruses</subject><subject>Zika virus</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqVk99v0zAQxyMEYmPwHyCI4AUeWuzYsZOnqVT8KCobGuzZcpxL6iqJi-1M7L_nunbTivaC_GDr_Lnv13fWJclLSqaUSfrh2_nlxdlsOf0x_7iYUkIJz9ij5JjmOZtIlheP752PkmchrAnBYymeJkdMEspLwo-T-F3HFfQ6WqO7tHc1dHZoU9ekm24MkxC9HuoUjdIr68eQeth0iEbrhjS61NYwRNtcp5V3up6EDZjoxz7VGMUElIwedOyRSrdaEVoL4XnypNFdgBf7_SS5_Pzp1_zrZHn-ZTGfLSdGsCJOBDFFDoKaUrOiKiUwyipdSQMy11nTNKSuKqZzBllDRMW1NmVNc5lzYQBEw06S1zvdTeeCWrvRD2insoJyzpksCyQWO6J2eq023vbaXyunrboJON8q7bE3HShgJclZJqkxJWe1LoShNTFNVRbcCMFR63TvNlY91AZrxgYciB7eDHalWnelbj6PSYkKb3YKLkSrgrERzMq4YcCuKlqKgrESoXd7G-9-jxCi6m0w0HV6ADdidbLMWS65YIi-_Qd9uAd7qtVYph0ah68zW1E1k7yQGdoKpKYPULhq6C2-ERqL8YOE9wcJyET4E1s9hqAWPy_-gz07ZPmONd6F4KG56zAlajsZt0Wqjams2k8Gpr26_zt3SbejwP4CPhkKJw</recordid><startdate>20230404</startdate><enddate>20230404</enddate><creator>Zitzmann, Carolin</creator><creator>Dächert, Christopher</creator><creator>Schmid, Bianca</creator><creator>van der Schaar, Hilde</creator><creator>van Hemert, Martijn</creator><creator>Perelson, Alan S</creator><creator>van Kuppeveld, Frank J M</creator><creator>Bartenschlager, Ralf</creator><creator>Binder, Marco</creator><creator>Kaderali, Lars</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>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>OTOTI</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2359-2294</orcidid><orcidid>https://orcid.org/0000-0001-6441-3099</orcidid><orcidid>https://orcid.org/0000-0002-2455-0002</orcidid><orcidid>https://orcid.org/0000000164413099</orcidid><orcidid>https://orcid.org/0000000224550002</orcidid><orcidid>https://orcid.org/0000000223592294</orcidid></search><sort><creationdate>20230404</creationdate><title>Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies</title><author>Zitzmann, Carolin ; Dächert, Christopher ; Schmid, Bianca ; van der Schaar, Hilde ; van Hemert, Martijn ; Perelson, Alan S ; van Kuppeveld, Frank J M ; Bartenschlager, Ralf ; Binder, Marco ; Kaderali, Lars</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c638t-60c85e61c9a38b97e313bab7ce75a2fff0dbb3a53e2f06b4aac9d157546cee6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Antiviral agents</topic><topic>Antiviral Agents - 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Many are human pathogens that inflict a socio-economic burden. Interestingly, plus-strand RNA viruses share remarkable similarities in their replication. A hallmark of plus-strand RNA viruses is the remodeling of intracellular membranes to establish replication organelles (so-called "replication factories"), which provide a protected environment for the replicase complex, consisting of the viral genome and proteins necessary for viral RNA synthesis. In the current study, we investigate pan-viral similarities and virus-specific differences in the life cycle of this highly relevant group of viruses. We first measured the kinetics of viral RNA, viral protein, and infectious virus particle production of hepatitis C virus (HCV), dengue virus (DENV), and coxsackievirus B3 (CVB3) in the immuno-compromised Huh7 cell line and thus without perturbations by an intrinsic immune response. Based on these measurements, we developed a detailed mathematical model of the replication of HCV, DENV, and CVB3 and showed that only small virus-specific changes in the model were necessary to describe the in vitro dynamics of the different viruses. Our model correctly predicted virus-specific mechanisms such as host cell translation shut off and different kinetics of replication organelles. Further, our model suggests that the ability to suppress or shut down host cell mRNA translation may be a key factor for in vitro replication efficiency, which may determine acute self-limited or chronic infection. We further analyzed potential broad-spectrum antiviral treatment options in silico and found that targeting viral RNA translation, such as polyprotein cleavage and viral RNA synthesis, may be the most promising drug targets for all plus-strand RNA viruses. Moreover, we found that targeting only the formation of replicase complexes did not stop the in vitro viral replication early in infection, while inhibiting intracellular trafficking processes may even lead to amplified viral growth.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37014904</pmid><doi>10.1371/JOURNAL.PCBI.1010423</doi><tpages>e1010423</tpages><orcidid>https://orcid.org/0000-0002-2359-2294</orcidid><orcidid>https://orcid.org/0000-0001-6441-3099</orcidid><orcidid>https://orcid.org/0000-0002-2455-0002</orcidid><orcidid>https://orcid.org/0000000164413099</orcidid><orcidid>https://orcid.org/0000000224550002</orcidid><orcidid>https://orcid.org/0000000223592294</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antiviral agents Antiviral Agents - pharmacology Biology and life sciences Chronic infection Genomes Health aspects Hepatitis C Humans Immune response Immune system Infectious diseases Intracellular Kinetics Life cycles Mathematical analysis Mathematical models Medicine and Health Sciences Models, Theoretical mRNA Organelles Pandemics Particle production Perturbation Product development Proteins Replicase Replication Research and analysis methods RNA Viruses RNA, Viral - genetics Similarity Synthesis Therapeutic targets Transcription Translation Vector-borne diseases Virus Replication - physiology Viruses Zika virus |
title | Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies |
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