A Multi-Variant, Viral Dynamic Model of Genotype 1 HCV to Assess the in vivo Evolution of Protease-Inhibitor Resistant Variants

Variants resistant to compounds specifically targeting HCV are observed in clinical trials. A multi-variant viral dynamic model was developed to quantify the evolution and in vivo fitness of variants in subjects dosed with monotherapy of an HCV protease inhibitor, telaprevir. Variant fitness was estimated using a model in which variants were selected by competition for shared limited replication space. Fitness was represented in the absence of telaprevir by different variant production rate constants and in the presence of telaprevir by additional antiviral blockage by telaprevir. Model parameters, including rate constants for viral production, clearance, and effective telaprevir concentration, were estimated from 1) plasma HCV RNA levels of subjects before, during, and after dosing, 2) post-dosing prevalence of plasma variants from subjects, and 3) sensitivity of variants to telaprevir in the HCV replicon. The model provided a good fit to plasma HCV RNA levels observed both during and after telaprevir dosing, as well as to variant prevalence observed after telaprevir dosing. After an initial sharp decline in HCV RNA levels during dosing with telaprevir, HCV RNA levels increased in some subjects. The model predicted this increase to be caused by pre-existing variants with sufficient fitness to expand once available replication space increased due to rapid clearance of wild-type (WT) virus. The average replicative fitness estimates in the absence of telaprevir ranged from 1% to 68% of WT fitness. Compared to the relative fitness method, the in vivo estimates from the viral dynamic model corresponded more closely to in vitro replicon data, as well as to qualitative behaviors observed in both on-dosing and long-term post-dosing clinical data. The modeling fitness estimates were robust in sensitivity analyses in which the restoration dynamics of replication space and assumptions of HCV mutation rates were varied

A Viral Dynamic Model for Treatment Regimens with Direct-acting Antivirals for Chronic Hepatitis C Infection

We propose an integrative, mechanistic model that integrates in vitro virology data, pharmacokinetics, and viral response to a combination regimen of a direct-acting antiviral (telaprevir, an HCV NS3-4A protease inhibitor) and peginterferon alfa-2a/ribavirin (PR) in patients with genotype 1 chronic hepatitis C (CHC). This model, which was parameterized with on-treatment data from early phase clinical studies in treatment-naïve patients, prospectively predicted sustained virologic response (SVR) rates that were comparable to observed rates in subsequent clinical trials of regimens with different treatment durations in treatment-naïve and treatment-experienced populations. The model explains the clinically-observed responses, taking into account the IC50, fitness, and prevalence prior to treatment of viral resistant variants and patient diversity in treatment responses, which result in different eradication times of each variant. The proposed model provides a framework to optimize treatment strategies and to integrate multifaceted mechanistic information and give insight into novel CHC treatments that include direct-acting antiviral agents

Superinfection and cure of infected cells as mechanisms for hepatitis C virus adaptation and persistence

Copyright © 2018 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).RNA viruses exist as a genetically diverse quasispecies with extraordinary ability to adapt to abrupt changes in the host environment. However, the molecular mechanisms that contribute to their rapid adaptation and persistence in vivo are not well studied. Here, we probe hepatitis C virus (HCV) persistence by analyzing clinical samples taken from subjects who were treated with a second-generation HCV protease inhibitor. Frequent longitudinal viral load determinations and large-scale single-genome sequence analyses revealed rapid antiviral resistance development, and surprisingly, dynamic turnover of dominant drug-resistant mutant populations long after treatment cessation. We fitted mathematical models to both the viral load and the viral sequencing data, and the results provided strong support for the critical roles that superinfection and cure of infected cells play in facilitating the rapid turnover and persistence of viral populations. More broadly, our results highlight the importance of considering viral dynamics and competition at the intracellular level in understanding rapid viral adaptation. Thus, we propose a theoretical framework integrating viral and molecular mechanisms to explain rapid viral evolution, resistance, and persistence despite antiviral treatment and host immune responses.info:eu-repo/semantics/publishedVersio

Hepatitis C Virus: Structural Insights into Protease Inhibitor Efficacy and Drug Resistance: A Dissertation

The Hepatitis C Virus (HCV) is a global health problem as it afflicts an estimated 170 million people worldwide and is the major cause of viral hepatitis, cirrhosis and liver cancer. HCV is a rapidly evolving virus, with 6 major genotypes and multiple subtypes. Over the past 20 years, HCV therapeutic efforts have focused on identifying the best-in-class direct acting antiviral (DAA) targeting crucial components of the viral lifecycle, The NS3/4A protease is responsible for processing the viral polyprotein, a crucial step in viral maturation, and for cleaving host factors involved in activating immunity. Thus targeting the NS3/4A constitutes a dual strategy of restoring the immune response and halting viral maturation. This high priority target has 4 FDA approved inhibitors as well as several others in clinical development. Unfortunately, the heterogeneity of the virus causes seriously therapeutic challenges, particularly the NS3/4A protease inhibitors (PIs), which suffer from both the rapid emergence of drug resistant mutants as well as a lack of pan-genotypic activity. My thesis research focused on filling two critical gaps in our structural understanding of inhibitor binding modes. The first gap in knowledge is the molecular basis by which macrocyclization of PIs improves antiviral activity. Macrocycles are hydrophobic chains used to link neighboring chemical moieties within an inhibitor and create a structurally pre-organized ligand. In HCV PIs, macrocycle come in two forms: a P1 - P3 and P2 - P4 strategy. I investigated the structural and thermodynamic basis of the role of macrocyclization in reducing resistance susceptibility. For a rigorous comparison, we designed and synthesized both a P1 - P3 and a linear analog of grazoprevir, a P2 - P4 inhibitor. I found that, while the P2 - P4 strategy is more favorable for achieving potency, it does not allow the inhibitor sufficient flexibility to accommodate resistance mutations. On the other hand, the P1 - P3 strategy strikes a better balance between potency and resistance barrier. The second gap my thesis addresses is elucidating the structural basis by which highly potent protease inhibitors function in genotype 1 but not in genotype 3, despite having an 87% sequence similarity. After mapping the amino acids responsible for this differential efficacy in genotypes 1 and 3, I engineered a 1a3a chimeric protease for crystallographic studies. My structural characterization of three PIs in complex with both the 1a3a and genotype 1 protease revealed that the loss of inhibitor efficacy in the 1a3a and GT-3 proteases is a consequence of disrupted electrostatic interactions between amino acids 168 and 155, which is critical for potent binding of quinoline and isoindoline based PIs. Here, I have revealed details of molecular and structural basis for the lack of PI efficacy against GT-3, which are needed for design of pan-genotypic inhibitors

Hepatitis C virus molecular evolution: Transmission, disease progression and antiviral therapy

Hepatitis C virus (HCV) infection represents an important public health problem worldwide. Reduction of HCV morbidity and mortality is a current challenge owned to several viral and host factors. Virus molecular evolution plays an important role in HCV transmission, disease progression and therapy outcome. The high degree of genetic heterogeneity characteristic of HCV is a key element for the rapid adaptation of the intrahost viral population to different selection pressures (e.g., host immune responses and antiviral therapy). HCV molecular evolution is shaped by different mechanisms including a high mutation rate, genetic bottlenecks, genetic drift, recombination, temporal variations and compartmentalization. These evolutionary processes constantly rearrange the composition of the HCV intrahost population in a staging manner. Remarkable advances in the understanding of the molecular mechanism controlling HCV replication have facilitated the development of a plethora of direct-acting antiviral agents against HCV. As a result, superior sustained viral responses have been attained. The rapidly evolving field of anti-HCV therapy is expected to broad its landscape even further with newer, more potent antivirals, bringing us one step closer to the interferon-free era.Fil: Preciado, María Victoria. Gobierno de la Ciudad de Buenos Aires. Hospital General de Niños ; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Valva, Pamela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Gobierno de la Ciudad de Buenos Aires. Hospital General de Niños ; ArgentinaFil: Escobar Gutierrez, Alejandro. Instituto de Diagnóstico y Referencia Epidemiológicos; MéxicoFil: Rahal, Paula. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Ruiz Tovar, Karina. Instituto de Diagnóstico y Referencia Epidemiológicos; MéxicoFil: Yamasaki, Lilian. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Vazquez Chacon, Carlos. Instituto de Diagnóstico y Referencia Epidemiológicos; MéxicoFil: Martinez Guarneros, Armando. Instituto de Diagnóstico y Referencia Epidemiológicos; MéxicoFil: Carpio Pedroza, Juan Carlos. Instituto de Diagnóstico y Referencia Epidemiológicos; MéxicoFil: Fonseca Coronado, Salvador. Universidad Nacional Autónoma de México; MéxicoFil: Cruz Rivera, Mayra. Universidad Nacional Autónoma de México; Méxic

Structure and Dynamics of Viral Substrate Recognition and Drug Resistance: A Dissertation

Drug resistance is a major problem in quickly evolving diseases, including the human immunodeficiency (HIV) and hepatitis C viral (HCV) infections. The viral proteases (HIV protease and HCV NS3/4A protease) are primary drug targets. At the molecular level, drug resistance reflects a subtle change in the balance of molecular recognition; the drug resistant protease variants are no longer effectively inhibited by the competitive drug molecules but can process the natural substrates with enough efficiency for viral survival. Therefore, the inhibitors that better mimic the natural substrate binding features should result in more robust inhibitors with flat drug resistance profiles. The native substrates adopt a consensus volume when bound to the enzyme, the substrate envelope. The most severe resistance mutations occur at protease residues that are contacted by the inhibitors outside the substrate envelope. To guide the design of robust inhibitors, we investigate the shared and varied properties of substrates with the protein dynamics taken into account to define the dynamic substrate envelope of both viral proteases. The NS3/4A dynamic substrate envelope is compared with inhibitors to detect the structural and dynamic basis of resistance mutation patterns. Comparative analyses of substrates and inhibitors result in a solid list of structural and dynamic features of substrates that are not shared by inhibitors. This study can help guiding the development of novel inhibitors by paying attention to the subtle differences between the binding properties of substrates versus inhibitors

Inter and intrapatient evolution of hepatitis C virus

Hepatitis C virus (HCV) has a short replication time, high mutation rates and large population sizes, all of which make it an excellent experimental model for evolution studies, because evolution can be visualized in real-time. In this review, we discuss the implications to study HCV evolution at the interpatient and intrapatient levels of infection. The HCV interpatient dynamics is relatively slow, because the generation time is generally long. Then, at population level, the HCV diversity originated by the high mutation and replication rates is modulated by the bottleneck at transmission. Thus, when the virus is transmitted to other hosts, viral diversity is reduced as a result of the founder effect. On the other hand, during intrapatient infection, HCV evolves rapidly, resulting in quasispecies. Accumulated evidence suggests that this quasispecies composition of the HCV population within the same individual may allow the virus to evade the immune response or escape treatment, leading to chronic infection. Thus, a better understanding of the complexities underlying the molecular evolution of HCV in natural populations is needed before accurate predictions of viral evolution can be made. In summary, HCV evolves both within and among patients. Consequently, HCV evolution should be studied at both levels in order to better understand the natural history of the virus and its potential implications in epidemiology, outcome of infection and progression of liver disease.Fil: Di Lello, Federico Alejandro. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Virología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Culasso, Andrés Carlos Alberto. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Virología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Campos, Rodolfo Hector. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología y Biotecnología. Cátedra de Virología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin

Mechanisms of Substrate Recognition by HCV NS3/4A Protease Provide Insights Into Drug Resistance: A Dissertation

HCV afflicts many millions of people globally, and antiviral therapies are often ineffective and intolerable. The Food and Drug Administration approved the HCV protease inhibitors telaprevir and boceprevir in May 2011, marking an important milestone in anti-HCV research over the past two decades. Nevertheless, severe drug side effects of combination therapy – flu-like symptoms, depression and anemia – limit patient adherence to treatment regimens. The acquisition of resistance challenges the long-term efficacy of antiviral therapies, including protease inhibitors, as suboptimal dosing allows for the selection of drug resistant viral variants. A better understanding of the molecular basis of drug resistance is therefore central to developing future generation protease inhibitors that retain potency against a broader spectrum of HCV strains. To this end, my research characterizes the molecular basis of drug resistance against HCV protease inhibitors. Chapter II defines the mode of substrate recognition by the common volume shared by NS3/4A substrate products – the substrate envelope. Chapter III then correlates patterns of drug resistance to regions where drugs protrude from the substrate envelope. Lastly, Chapter IV elucidates the molecular underpinnings of resistance against four leading protease inhibitors – telaprevir, danoprevir, vaniprevir and MK-5172 – and provides practical approaches to designing novel drugs that are less susceptible to resistance. I ultimately hope my work appeals to the broader biomedical community of virologists, medicinal chemists and clinicians, who struggle to understand HCV and other human pathogens in the face of rapid disease evolution