Mouse Systems to Model Hepatitis C Virus Treatment and Associated Resistance.

Author: MesalamAhmed Atef, MeulemanPhilip, VercauterenKoen

Paper Details 
Original Abstract of the Article :
While addition of the first-approved protease inhibitors (PIs), telaprevir and boceprevir, to pegylated interferon (PEG-IFN) and ribavirin (RBV) combination therapy significantly increased sustained virologic response (SVR) rates, PI-based triple therapy for the treatment of chronic hepatitis C viru...See full text at original site
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引用元:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4926196/

データ提供:米国国立医学図書館(NLM)

Mapping the Terrain of HCV Treatment: Mouse Models and Drug Resistance

This review explores the use of mouse models in studying hepatitis C virus (HCV) treatment and the emergence of drug resistance. It's like navigating a complex desert landscape, seeking the best ways to combat this persistent viral infection.

A New Frontier in Research: Mouse Models and HCV Treatment

The review highlights the significant progress made in developing mouse models that can support the entire HCV life cycle. This advancement provides researchers with valuable tools to study drug efficacy and the emergence of drug resistance, offering a deeper understanding of HCV infection and treatment strategies. It's like constructing a new caravan route through the desert, opening up new possibilities for research and innovation.

A Search for Solutions: Combating Drug Resistance in HCV Treatment

This review underscores the importance of understanding drug resistance in HCV treatment. It's a reminder that just as camels adapt to changing desert conditions, we must be vigilant in our fight against viruses, constantly evolving our treatment strategies to stay ahead of resistance.

Dr.Camel's Conclusion

This review highlights the crucial role of mouse models in studying HCV treatment and drug resistance. It's a reminder that even in the seemingly vast and uncharted desert of viral infections, there's always hope for new discoveries and innovative solutions.
Date :
  1. Date Completed 2017-09-27
  2. Date Revised 2018-11-13
Further Info :

Pubmed ID

27338446

DOI: Digital Object Identifier

PMC4926196

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Languages

English

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