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Updated: Feb 3, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
Using high-throughput sequencing for investigating intra-host hepatitis C evolution over long retrospective periods
A Caporossi1, O Kulkarni2, Mgb Blum2
1Université Grenoble Alpes, TIMC-IMAG, CNRS UMR, 5525 Grenoble, France; Pôle Santé Publique, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France.
Hospital sample collections offer insights into chronic infection evolution. This study tracked hepatitis C virus (HCV) evolution in two patients, revealing viral diversity increases post-treatment and suggesting soft selective sweeps maintained heterogeneity.
Area of Science:
- Virology
- Evolutionary Biology
- Genetics
Background:
- Hospital biological sample collections are crucial for studying chronic infection evolution.
- High-throughput sequencing enables analysis of within-host viral genetic diversity and treatment resistance over time.
Purpose of the Study:
- To investigate the evolutionary dynamics of hepatitis C virus (HCV) populations in patients unresponsive to dual therapies.
- To analyze genomic variation in HCV over a 13-year period using stored blood samples.
Main Methods:
- Utilized amplicon sequencing to survey genomic variation in the Core and NS5B regions of HCV.
- Analyzed viral populations from blood samples collected at multiple time points over 13 years.
- Assessed genetic heterogeneity and sample composition to understand viral population changes during treatment.
Main Results:
- Observed mixed infections with multiple HCV genotypes in both patients.
- Noted an increase in genetic diversity in the NS5B region after treatment initiation.
- Estimated secondary infections predated treatment and identified diversifying selection post-treatment, maintaining high viral heterogeneity.
Conclusions:
- Viral diversity maintenance in multi-genotype HCV infections can be explained by soft selective sweeps initiated concurrently with antiviral treatment.
- Understanding viral evolution under treatment pressure is key for managing chronic infections.
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