Modeling of Viral Dynamics after Liver Transplantation in Patients with Chronic Hepatitis B and D
DOI:
https://doi.org/10.11145/j.biomath.2012.09.022Keywords:
Infectious diseases, hepatitis B and D, viral dynamics, PK/PDAbstract
Viral kinetic models have become an important tool for understanding the main biological processes behind the dynamics of chronic viral diseases and optimizing effectiveness of anti-viral therapy. We analyzed the dynamics of hepatitis B and D co-infection (HBV/HDV) and the pharmacokinetics/pharmacodynamics of the reinfection prophylaxis with polyclonal antibodies after liver transplantation. Therefore we developed a mechanistic model consisting of a system of ordinary differential equations. This model was fitted by analyzing the kinetics of HBV/HDV viremia after liver transplantation in patient data and correlated with the reinfection prophylaxis dosing schemes. The results suggest that this modeling approach may help to optimize reinfection prophylaxis.Downloads
Published
Issue
Section
License
The journal Biomath is an open access journal. All published articles are immeditely available online and the respective DOI link activated. All articles can be access for free and no reader registration of any sort is required. No fees are charged to authors for article submission or processing. Online publications are funded through volunteer work, donations and grants.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).