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Immunofluorescence to Monitor the Cellular Uptake of Human Lactoferrin and its Associated Antiviral Activity Against the Hepatitis C Virus
Published on: October 1, 2015
A novel unsupervised method to identify genes important in the anti-viral response: application to
Leonid I Brodsky1, Abdus S Wahed, Jia Li
1Institute of Evolution, University of Haifa, Haifa, Israel.
Background:
Treating hepatitis C with interferon/ribavirin results in a varied response in terms of decrease in viral titer and ultimate outcome. Marked responders have a sharp decline in viral titer within a few days of treatment initiation, whereas in other patients there is no effect on the virus (poor responders). Previous studies have shown that combination therapy modifies expression of hundreds of genes in vitro and in vivo. However, identifying which, if any, of these genes have a role in viral clearance remains challenging.
Aims:
The goal of this paper is to link viral levels with gene expression and thereby identify genes that may be responsible for early decrease in viral titer.
Methods:
Microarrays were performed on RNA isolated from PBMC of patients undergoing interferon/ribavirin therapy. Samples were collected at pre-treatment (day 0), and 1, 2, 7, 14 and 28 days after initiating treatment. A novel method was applied to identify genes that are linked to a decrease in viral titer during interferon/ribavirin treatment. The method uses the relationship between inter-patient gene expression based proximities and inter-patient viral titer based proximities to define the association between microarray gene expression measurements of each gene and viral-titer measurements.
Results:
We detected 36 unique genes whose expressions provide a clustering of patients that resembles viral titer based clustering of patients. These genes include IRF7, MX1, OASL and OAS2, viperin and many ISG's of unknown function.
Conclusion:
The genes identified by this method appear to play a major role in the reduction of hepatitis C virus during the early phase of treatment. The method has broad utility and can be used to analyze response to any group of factors influencing biological outcome such as antiviral drugs or anti-cancer agents where microarray data are available.
Insights
This study identifies 36 genes linked to early hepatitis C viral clearance during interferon/ribavirin treatment. The findings offer insights into treatment response and potential therapeutic targets for viral infections.
Area of Science:
- Virology
- Genomics
- Immunology
Background:
- Hepatitis C (HCV) treatment with interferon/ribavirin shows variable patient responses.
- Identifying genes influencing early viral titer reduction is crucial but challenging.
Purpose of the Study:
- To link viral levels with gene expression data.
- To identify specific genes responsible for the early decrease in hepatitis C viral titer.
Main Methods:
- RNA from peripheral blood mononuclear cells (PBMC) of HCV patients undergoing treatment was analyzed using microarrays.
- Samples were collected at multiple time points during treatment (days 0, 1, 2, 7, 14, 28).
- A novel proximity-based method correlated gene expression patterns with viral titer changes.
Main Results:
- 36 unique genes were identified whose expression patterns clustered patients similarly to viral titer-based clustering.
- Key genes identified include IRF7, MX1, OASL, OAS2, and viperin, along with other interferon-stimulated genes (ISGs).
Conclusions:
- The identified genes play a significant role in early hepatitis C virus reduction during treatment.
- The developed method is broadly applicable for analyzing gene expression in response to various therapeutic interventions, including antiviral and anti-cancer agents.
