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Development of Mathematical Models for the Analysis of Hepatitis Delta Virus Viral Dynamics

BACKGROUND: 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...

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Detalles Bibliográficos
Autores principales: de Sousa, Bruno C., Cunha, Celso
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940762/
https://www.ncbi.nlm.nih.gov/pubmed/20862328
http://dx.doi.org/10.1371/journal.pone.0012512
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author de Sousa, Bruno C.
Cunha, Celso
author_facet de Sousa, Bruno C.
Cunha, Celso
author_sort de Sousa, Bruno C.
collection PubMed
description BACKGROUND: 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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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.
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spelling pubmed-29407622010-09-22 Development of Mathematical Models for the Analysis of Hepatitis Delta Virus Viral Dynamics de Sousa, Bruno C. Cunha, Celso PLoS One Research Article BACKGROUND: 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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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. Public Library of Science 2010-09-16 /pmc/articles/PMC2940762/ /pubmed/20862328 http://dx.doi.org/10.1371/journal.pone.0012512 Text en de Sousa, Cunha. http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
de Sousa, Bruno C.
Cunha, Celso
Development of Mathematical Models for the Analysis of Hepatitis Delta Virus Viral Dynamics
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940762/
https://www.ncbi.nlm.nih.gov/pubmed/20862328
http://dx.doi.org/10.1371/journal.pone.0012512
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