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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Virus Res. Author manuscript; available in PMC 2010 August 11.
Published in final edited form as:
PMCID: PMC2919681
NIHMSID: NIHMS34870

TRENDS FOR GENETIC VARIATION OF HEPATITIS C VIRUS QUASISPECIES IN HUMAN IMMUNODEFICIENCY VIRUS-1 COINFECTED PATIENTS

Abstract

Chronic infection by Hepatitis C virus (HCV) causes liver fibrosis, which is accelerated by unknown mechanisms in patients with HIV-1 coinfection. The evolution of HCV quasispecies in this setting of coinfection is not fully understood. To compare HCV quasispecies between HIV-HCV coinfection and HCV monoinfection, we sequenced 340 HCV clones from the HVR-1 and NS3 regions at two different time points in two groups of treatment-naïve patients with HCV-1a infection: (1) HIV-HCV positive (n=6); and (2) HIV negative-HCV positive (n=3). In HCV/HIV coinfection, we found a trend for reduced HCV genetic complexity and diversity, and a trend towards reduced dN/dS ratios in the HVR-1 region, especially in those patients with CD4<200 cells/mm3, who lost positive selective immune pressure in the HVR-1 region. Differences in immune regulation of HCV quasispecies in HIV coinfected individuals deserve further exploration to clarify the different outcomes of chronic hepatitis C noted between the immunocompromised and the immunocompetent host.

Keywords: Immune pressure, coinfection, AIDS, envelope, NS3, CD4 counts

Hepatitis C virus (HCV, Flaviviridae family, genus Hepacivirus) coinfection in Human Immunodeficiency virus-1 (HIV, Retroviridae family, genus Lentivirus) infected individuals is a clinical problem worldwide, and results from studies on the evolution of HCV in HIV-HCV coinfection are controversial (Thomas, 2002; Devereux et al., 1997; Sherman et al., 1996). We analysed two groups of treatment-naïve patients infected with HCV-1a: (i) HIV-HCV coinfection and (ii) HCV monoinfection. We studied HCV clones from the hypervariable region-1 (HVR-1) target for neutralising antibodies, and from the non-structural protein 3 (NS3), target for the cellular immune response. Our endpoint was to determine the effects of HIV-coinfection on HCV genetic variation.

Two groups of male individuals infected with HCV subtype 1a (Inno-LIPA HCV II, Innogenetics, Zwijndrecht, Belgium) were selected from a natural history cohort attending the San Francisco Veterans Administration Medical Center (SFVAMC) and San Francisco General Hospital (SFGH). Group 1 included six patients with HIV-HCV coinfection selected on basis of the following criteria: anti-HIV, anti-HCV, and HCV-RNA positive; CD4 counts <200 cells/mm3 (n=3) or >200 cells/mm3 (n=3). Group 2 included anti-HIV negative individuals (n=3) with chronic hepatitis C (anti-HIV negative, anti-HCV and HCV-RNA positive) as controls. All the patients had clinically-proven chronic hepatitis C (abnormal ALT and detectable HCV-RNA by nested-PCR over time), negative hepatitis B surface antigen (HBsAg), and negative anti-hepatitis B core IgM antibodies (anti-HBc IgM). Serum samples were obtained at two different time points (mean interval between samples 13.8 months). Patients did not receive antiviral therapy prior to or during the observation period. The study was approved by the University of California San Francisco (UCSF) Board, and informed consent was obtained in writing in every case.

HCV-RNA extraction, reversed transcription and polymerase chain reaction (RT-PCR) were performed using primers from the HCV HVR-1 or NS3 regions (table 1), as described (Chazouilleres et al., 1994 ; Lopez-Labrador et al., 2004; Weiner et al., 1991). Purified PCR products (Wizard PCR, Promega, Madison, WI) were cloned by using the TA Cloning Kit (Invitrogen, Carlsbad, CA), plasmids extracted with the Wizard Plus Minipreps (Promega) and sequenced at the UCSF Medical Center Sequencing facility using BigDye chemistry on an ABI 3700 DNA sequencer (Applied Biosystems, Foster City, CA). HCV-RNA was quantitated with the Amplicor HCV Monitor test v2.0 (Roche diagnostics, Branchburg, NJ), after 1:10 dilution (Martinot-Peignoux et al., 2000).

Table 1
Oligonucleotide primers and conditions used for PCR amplification of HCV E2 and NS3 regions

Both positive controls (HCV-RNA positive sera with known amounts of HCV-RNA) and negative controls (HCV-RNA negative sera) were included in every extraction-RT-PCR run, to ensure that sufficient viral RNA was extracted and subjected to RT-PCR amplifications prior to cloning. Only runs with positive HCV-RNA results for positive controls and negative results for negative controls were accepted, both for the HVR-1 and NS3 PCRs, and all runs were checked for sensitivity by a nested PCR of the 5′NC region performed in parallel. In addition, all samples were HCV-RNA positive in separate runs from different aliquots, used for clinical routine determinations (Amplicor HCV Monitor v2.0, and viral genotype by LiPA). Since all patients included in this study were infected with HCV subtype 1a, we designed subtype-1a specific primers after inspection of HCV genotype-1 aligned sequences from Genebank, in order to avoid selective amplification bottlenecks of certain HCV variants in a given sample. To avoid underestimation of HCV variants present in samples from patients with low viremia levels, approximately the same amount of PCR products (amplicons) from each sample was used for cloning experiments, reducing the possibility for underestimation of the viral complexity from the original sample. Amplified PCR products were quantitated by comparison with DNA standards of known concentration.

A total of 340 HCV clones were analysed: 156 for the HVR-1 and 184 for NS3 (Genebank accession numbers EF208216-EF208558). Shannon entropy (S) and normalised entropy (Sn) were calculated to measure complexity (Wolinsky et al., 1996). Genetic distances (diversity) were calculated with a modified Kimura-2 parameter method with gamma correction for multiple hits (Kimura, 1983). Average non-synonymous (dN) and synonymous (dS) substitution frequencies were calculated using a modified Nei and Gojobori algorithm with the Jukes and Cantor correction (Nei and Kumar, 2000). Genetic distances and substitution frequencies were all determined with the MEGA program, version 2.1, both within-sample and between samples (Kumar et al., 2001). Statistical comparisons were performed using non-parametric tests (Mann Whitney U or Kruskal-Wallis tests, when appropriate), and the SPSS for Windows package, version 8.0 (SPSS, Chicago, IL). P values lower than 0.05 were considered significant.

The main characteristics of the patients are summarised in table 2. Mean HCV-RNA levels were slightly higher in HIV-HCV coinfected compared to HCV monoinfected patients (5.67 ± 0.34 vs. 5.08 ± 0.09 log10 IU/mL; P= 0.025). Mean HCV viral load was 5.72 ± 0.41 and 5.62 ± 0.34 in patients from group 1 with CD4 counts <200 cells/mm3 or >200 cells/mm3, respectively (difference NS; P=0.094).

Table 2
Main clinical and demographical characteristics of the study subjects.

Our analysis of HCV clones is summarised in Table 3. We noted several differential trends for HCV quasispecies evolution in HIV-HCV coinfection that deserve to be examined at the clonal level in larger cohorts. Coinfecion seemed to be associated with a trend towards decreased complexity (Sn) for the HVR-1 region, in agreement with data from Mao et al. (Mao et al., 2001) and with recent studies using heteroduplex-tracking assays (Shuhart et al., 2006). There was a also a trend for higher within-sample diversity in the HVR-1 region at baseline (nucleotide and amino acid distances), and for lower net genetic distances between samples in patients with HIV-HCV coinfection, especially in those with CD4 <200 cells/mm3. Mean dN/dS ratios at baseline were < 1 in coinfected patients with CD4 counts <200, and regardless of the CD4 counts after 1 year follow-up, which suggests that immune pressure to the HVR-1 might be diminished with HIV coinfection. In contrast, dN/dS for the HVR-1 was always >1 in HCV monoinfection. When analysing changes with time in the HVR-1 region, coinfection was coincident with a trend towards decreasing complexity, and with HCV dN/dS ratios between samples lower than one. When the coinfection group was subdivided, dN/dS at baseline and dN/dS between samples were >1 for the HVR-1 in coinfected patients with CD4>200 cells/mm3 and in HCV monoinfected patients, but <1 in those coinfected with CD4<200 cells/mm3. Finally, no specific trend for coinfection was noted in NS3.

Table 3
Mean genetic estimates of HCV quasispecies in the HVR-1 and NS3 regions. The number clones sequenced for each HCV region is indicated before the estimates. dN/dS ratios suggestive of positive immune pressure are bolded. (1) All HIV(+) vs. HIV(−); ...

Figure 1 shows the phylogenetic trees for HVR-1 and NS3, reconstructed with the nucleotide sequences from all HCV clones by means of the neighbour-joining method with the MEGA program with bootstrap resampling (1,000 replicates). Sequences from the same individuals clustered together, indicating the absence of PCR cross-contamination. There were two exceptions: HVR-1 sequences from patients 1–2 and 2-2 were divided in two separate independent clusters, but they did not overlap with HCV sequences isolated from other individuals, suggesting mixed infection with different HCV envelope variants rather than PCR contamination. Overall, there was a trend for a more homogeneous population of HCV variants in HIV-HCV coinfected patients: less new variants appeared with time and dominated the viral population (means 1,5 vs. 3,3 in the HVR-1 and 1,8 vs. 3,3 in NS3, coinfected vs. HCV monoinfection; P=NS), especially in those coinfected patients with CD4 cell counts <200 cells/mm3 (means 1,0 vs. 2,0 in the HVR-1 and 1,3 vs. 2,3 in NS3, CD4<200 cells/mm3 vs. CD>200 cells/mm3; P=NS). Remarkably, HVR-1 variants presents at baseline were completely replaced after one year follow-up in the three coinfected patients with CD4 cell counts <200 cells/mm3 (Figure 1).

Figure 1Figure 1
HCV HVR-1 and NS3 phylogenetic analyses

The main limitation of the current study (small sample size) hampers our ability to demonstrate differences that reach statistical significance. However, for most research groups clonal analysis of large patient cohorts can be cumbersome. In a recent report, Suhuart et al. faced a similar problem, and analysed only 57 clones in only 6 out of 69 coinfected patients from their study based in heteroduplex assays (Shuhart et al., 2006). In concordance with our data, they found immune selective pressure to HCV (HVR-1 dN/dS > 1) in only one out of the three coinfected patients naïve for HAART. However, CD4 counts that study cohort were higher than 300 cells/mm3, and data on HCV quasispecies in patients with low CD4 counts, such as those included in our study, is still scarce. Our results should be interpreted with caution because of statistical limitations: the data are not really consistent across time points in all cases, which may be a function of the small sample size and sampling variability. Nevertheless, our observations complement other data suggesting that HIV-HCV coinfection is associated with a differential evolution of HCV (Babik and Holodniy, 2003; Blackard et al., 2004; Mao et al., 2001; Qin et al., 2005; Sherman et al., 1996). We analysed 340 HCV clones sequenced bidirectionally (total of 680 sequences), but sequencing a more extensive number of clones would also reduce the chance for sampling variability. Besides, it is possible that more than two time points will be needed to achieve a more accurate estimate of quasispecies dynamics over time. Unfortunately, extension of our study to a larger number of patients, HCV clones, or time points was not feasible. Several explanations can be given to the trend for a reduced HCV complexity and evolution with time in HIV coinfected patients. The low CD4 counts per se could drive HCV evolution in this setting, maybe by an alteration of CD4 help to HCV-specific CD8 cells, or to B cells. Alternatively, a differential selection of HCV quasispecies populations present in other compartments, such as PBMC or the liver, (Ducoulombier et al., 2004; Roque-Afonso et al., 2005) may give raise to a differential viral evolution in HIV-HCV coinfected patients. Whether this differential evolution of HCV may contribute to, or be responsible for, the accelerated liver fibrosis progression seen in coinfected individuals still remains to be determined.

Acknowledgments

This work was supported in part by the National Institute of Drug Abuse (DA RO1 DA13737) (T.W.), the Robert Wood Johnson Foundation (L.D.) and the Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Spanish Ministry of Health (proj. 05-0981 to M.B.; and CP04/0020 to F.X.L.). F.X.L. holds a P.I. position supported by the Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Spanish Ministry of Health.

The authors are indebted to Dr. Fernando González-Candelas, Vicente Sentandreu (Evolutionary Genetics Unit, Institut Cavanilles de Biodiversitat, University of Valencia), and Satish K. Pillai, Ph.D (UCSF), for their critical review of the manuscript and helpful discussions and suggestions. F.X.L. is very thankful to Dr. Andrés González-Molina and Dr. José M. Ribera (Hospital Universitari La Fe and Research Centre) for their continuing help and support.

List of Abbreviations

HCV
Hepatitis C Virus
HIV
human immunodeficiency virus-1
HVR-1
hypervariable region-1
NS3
non-structural protein-3
RT-PCR
reverse-transcription polymerase chain reaction
IVDU
intravenous drug users
dS
genetic distance (synonymous substitutions)
dN
genetic distances (non-synonymous substitutions)
S
Shannon entropy
Sn
normalised Shannon entropy

Footnotes

Previous abstract disclosure: Some preliminary data of this work was presented in abstract form in the 50th Annual Meeting of the American Association for the Study of Liver Diseases. Dallas, TX. November 1999.

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