Antibody Responses during Hepatitis B Viral Infection

Ciupe, Stanca M.; Ribeiro, Ruy M.; Perelson, Alan S.

doi:10.1371/journal.pcbi.1003730

Antibody Responses during Hepatitis B Viral Infection

Journal Article · Thu Jul 31 00:00:00 EDT 2014 · PLoS Computational Biology (Online)

DOI:https://doi.org/10.1371/journal.pcbi.1003730· OSTI ID:1627236

Ciupe, Stanca M. ^[1]; Ribeiro, Ruy M. ^[2]; Perelson, Alan S. ^[2]

Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States). Dept. of Mathematics; DOE/OSTI
Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Division

Hepatitis B is a DNA virus that infects liver cells and can cause both acute and chronic disease. It is believed that both viral and host factors are responsible for determining whether the infection is cleared or becomes chronic. Here we investigate the mechanism of protection by developing a mathematical model of the antibody response following hepatitis B virus (HBV) infection. We fitted the model to data from seven infected adults identified during acute infection and determined the ability of the virus to escape neutralization through overproduction of non-infectious subviral particles, which have HBs proteins on their surface, but do not contain nucleocapsid protein and viral nucleic acids. We showed that viral clearance can be achieved for high anti-HBV antibody levels, as in vaccinated individuals, when: (1) the rate of synthesis of hepatitis B subviral particles is slow; (2) the rate of synthesis of hepatitis B subviral particles is high but either anti-HBV antibody production is fast, the antibody affinity is high, or the levels of pre-existent HBV-specific antibody at the time of infection are high, as could be attained by vaccination. We further showed that viral clearance can be achieved for low equilibrium antiHBV antibody levels, as in unvaccinated individuals, when a strong cellular immune response controls early infection.

View Accepted Manuscript (DOE)

Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1627236

Journal Information:: PLoS Computational Biology (Online), Journal Name: PLoS Computational Biology (Online) Journal Issue: 7 Vol. 10; ISSN 1553-7358

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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