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Chronic, Acute, and Reactivated HIV Infection in Humanized Immunodeficient Mouse Models
Published on: December 3, 2019
HIV co-infection is associated with increased transmission risk in patients with chronic hepatitis C virus
Manon Ragonnet-Cronin1, Reilly Hostager1, Charlotte Hedskog2
1Department of Medicine, University of California San Diego, San Diego, California, USA.
Insights
Hepatitis C virus (HCV) genetic clustering indicates transmission risk. HCV/HIV co-infection, young age, and high viral load increase clustering, suggesting targeted elimination efforts for this vulnerable population.
Area of Science:
- Virology
- Epidemiology
- Public Health
Background:
- Molecular epidemiology aids in identifying viral transmission risks.
- Understanding genetic clustering in chronic hepatitis C virus (HCV) is crucial for public health interventions.
Purpose of the Study:
- To investigate the frequency and factors associated with genetic clustering in a large cohort of patients with chronic HCV.
- To identify patient characteristics linked to increased HCV transmission risk.
Main Methods:
- Analysis of NS34A, NS5A, and NS5B viral sequences from 7457 patients with chronic HCV.
- Application of Receiver Operator Characteristic (ROC) analysis to determine an optimal genetic distance threshold (0.02 substitutions/site) for clustering.
- Statistical analysis to identify factors associated with increased clustering frequency.
Main Results:
- 256 clusters involving 541 patients (7.3%) were identified.
- Hepatitis C virus/Human Immunodeficiency Virus (HCV/HIV) co-infection, younger age, and high HCV viral load were significantly associated with increased genetic clustering.
- These factors indicate a higher risk of HCV transmission.
Conclusions:
- Patients with HCV/HIV co-infection represent a significant source of new HCV infections.
- Public health strategies should prioritize viral elimination in HCV/HIV co-infected individuals due to their increased transmission potential.
Abstract:
Molecular epidemiological analysis of viral pathogens can identify factors associated with increased transmission risk. We investigated the frequency of genetic clustering in a large data set of NS34A, NS5A, and NS5B viral sequences from patients with chronic hepatitis C virus (HCV). Within a subset of patients with longitudinal samples, Receiver Operator Characteristic (ROC) analysis was applied which identified a threshold of 0.02 substitutions/site as most appropriate for clustering. From the 7457 patients with chronic HCV infection included in this analysis, we inferred 256 clusters comprising 541 patients (7.3%). We found that HCV/HIV co-infection, young age, and high HCV viral load were all associated with increased clustering frequency, an indicator of increased transmission risk. In light of previous work on HCV/HIV co-infection in acute HCV cohorts, our results suggest that patients with HCV/HIV co-infection may disproportionately be the source of new HCV infections and treatment efforts should be geared towards viral elimination in this vulnerable population.
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