Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.

<h4>Background</h4>Mathematical models have shown to be extremely helpful in understanding the dynamics of different virus diseases, including hepatitis B. Hepatitis D virus (HDV) is a satellite virus of the hepatitis B virus (HBV). In the liver, production of new HDV virions depends on...

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Autores principales:	Bruno C de Sousa, Celso Cunha
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3f11b41beed74b92ac64b771f267811b
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spelling	oai:doaj.org-article:3f11b41beed74b92ac64b771f267811b2021-11-18T06:35:06ZDevelopment of mathematical models for the analysis of hepatitis delta virus viral dynamics.1932-620310.1371/journal.pone.0012512https://doaj.org/article/3f11b41beed74b92ac64b771f267811b2010-09-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20862328/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Mathematical models have shown to be extremely helpful in understanding the dynamics of different virus diseases, including hepatitis B. Hepatitis D virus (HDV) is a satellite virus of the hepatitis B virus (HBV). In the liver, production of new HDV virions depends on the presence of HBV. There are two ways in which HDV can occur in an individual: co-infection and super-infection. Co-infection occurs when an individual is simultaneously infected by HBV and HDV, while super-infection occurs in persons with an existing chronic HBV infection.<h4>Methodology/principal findings</h4>In this work a mathematical model based on differential equations is proposed for the viral dynamics of the hepatitis D virus (HDV) across different scenarios. This model takes into consideration the knowledge of the biology of the virus and its interaction with the host. In this work we will present the results of a simulation study where two scenarios were considered, co-infection and super-infection, together with different antiviral therapies. Although, in general the predicted course of HDV infection is similar to that observed for HBV, we observe a faster increase in the number of HBV infected cells and viral load. In most tested scenarios, the number of HDV infected cells and viral load values remain below corresponding predicted values for HBV.<h4>Conclusions/significance</h4>The simulation study shows that, under the most commonly used and generally accepted therapy approaches for HDV infection, such as lamivudine (LMV) or ribavirine, peggylated alpha-interferon (IFN) or a combination of both, LMV monotherapy and combination therapy of LMV and IFN were predicted to more effectively reduce the HBV and HDV viral loads in the case of super-infection scenarios when compared with the co-infection. In contrast, IFN monotherapy was found to reduce the HDV viral load more efficiently in the case of super-infection while the effect on the HBV viral load was more pronounced during co-infection. The results suggest that there is a need for development of high efficacy therapeutic approaches towards the specific inhibition of HDV replication. These approaches may additionally be directed to the reduction of the half-life of infected cells and life-span of newly produced circulating virions.Bruno C de SousaCelso CunhaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 9 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bruno C de Sousa Celso Cunha Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.
description	<h4>Background</h4>Mathematical models have shown to be extremely helpful in understanding the dynamics of different virus diseases, including hepatitis B. Hepatitis D virus (HDV) is a satellite virus of the hepatitis B virus (HBV). In the liver, production of new HDV virions depends on the presence of HBV. There are two ways in which HDV can occur in an individual: co-infection and super-infection. Co-infection occurs when an individual is simultaneously infected by HBV and HDV, while super-infection occurs in persons with an existing chronic HBV infection.<h4>Methodology/principal findings</h4>In this work a mathematical model based on differential equations is proposed for the viral dynamics of the hepatitis D virus (HDV) across different scenarios. This model takes into consideration the knowledge of the biology of the virus and its interaction with the host. In this work we will present the results of a simulation study where two scenarios were considered, co-infection and super-infection, together with different antiviral therapies. Although, in general the predicted course of HDV infection is similar to that observed for HBV, we observe a faster increase in the number of HBV infected cells and viral load. In most tested scenarios, the number of HDV infected cells and viral load values remain below corresponding predicted values for HBV.<h4>Conclusions/significance</h4>The simulation study shows that, under the most commonly used and generally accepted therapy approaches for HDV infection, such as lamivudine (LMV) or ribavirine, peggylated alpha-interferon (IFN) or a combination of both, LMV monotherapy and combination therapy of LMV and IFN were predicted to more effectively reduce the HBV and HDV viral loads in the case of super-infection scenarios when compared with the co-infection. In contrast, IFN monotherapy was found to reduce the HDV viral load more efficiently in the case of super-infection while the effect on the HBV viral load was more pronounced during co-infection. The results suggest that there is a need for development of high efficacy therapeutic approaches towards the specific inhibition of HDV replication. These approaches may additionally be directed to the reduction of the half-life of infected cells and life-span of newly produced circulating virions.
format	article
author	Bruno C de Sousa Celso Cunha
author_facet	Bruno C de Sousa Celso Cunha
author_sort	Bruno C de Sousa
title	Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.
title_short	Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.
title_full	Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.
title_fullStr	Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.
title_full_unstemmed	Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.
title_sort	development of mathematical models for the analysis of hepatitis delta virus viral dynamics.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/3f11b41beed74b92ac64b771f267811b
work_keys_str_mv	AT brunocdesousa developmentofmathematicalmodelsfortheanalysisofhepatitisdeltavirusviraldynamics AT celsocunha developmentofmathematicalmodelsfortheanalysisofhepatitisdeltavirusviraldynamics
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Development of mathematical models for the analysis of hepatitis delta virus viral dynamics.

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