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Therapeutic antibodies against viral hepatitis.

Authors: Shlomo, Dagan; Rachel, Eren;

Therapeutic antibodies against viral hepatitis.

Abstract

Antibodies have the potential to be immunotherapeutic agents, used either as stand-alone therapy or as an adjunct for managing chronic viral infection. In addition, antibodies may be used prophylactically in individuals who have been accidentally exposed to hepatitis B virus (HBV) or hepatitis C virus (HCV), or to prevent re-infection of the liver in patients who have undergone liver transplantation. Human monoclonal antibodies to HBV and HCV were generated and their ability to reduce viral load was tested in different animal model systems, the Trimera mouse model and HBV-carrier chimpanzees. These antibodies were further developed and are currently being studied in clinical trials for chronic HBV or HCV and in liver transplant patients. The antibodies were shown to be safe, tolerable and could significantly reduce viral load. Their ability to inhibit HCV re-infection in the transplanted liver is being evaluated.

Keywords

Mice, Pan troglodytes, Animals, Antibodies, Monoclonal, Humans, Hepatitis Antibodies, Immunotherapy, Hepatitis B, Hepatitis C

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Top 10%
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