UNLABELLED: Single-nucleotide polymorphisms (SNPs) in the interferon lambda 4 (IFNL4) gene are predictors for treatment success in patients with hepatitis C virus (HCV) infection. For direct-acting antiviral combinations only weak association with IFNL4 SNPs was observed. Little is known about potential selections of resistance-associated variants (RAVs) by the IFNL4 genotype. This study analyzed the prevalence of RAVs to currently approved direct-acting antivirals in a large European population in correlation to SNPs in IFNL4. Samples of 633 patients chronically infected with HCV genotypes 1a (n = 259), 1b (n = 323), and 3 (n = 51) were genotyped for rs12979860 (formerly known as IL28B) and rs368234815. RAVs in NS3, NS5A, and NS5B were detected by population-based sequencing. In addition, IFNL4 SNPs and NS5A RAVs were analyzed including deep sequencing (n = 109) in an independent replication cohort of HCV genotype 1-infected patients (n = 201). No significant correlation was found between IFNL4 SNPs and rare and common RAVs within NS3 and NS5B. In contrast, the NS5A RAV Y93H was detected frequently in HCV genotype 1b (14%) and significantly associated with the beneficial IFNL4 SNPs (P < 0.001 and P = 0.002, respectively). Moreover, the presence of Y93H in HCV genotype 1b patients was significantly associated with the second site variant T83M (P < 0.001). Independent factors significantly associated with the presence of Y93H were IFNL4 genotype and high baseline viral load. CONCLUSION: The NS5A RAV Y93H is significantly associated with the presence of beneficial IFNL4 SNPs and a high baseline viral load in HCV genotype 1-infected patients, which may explain a lack of correlation or even an inverse correlation of treatment response with IFNL4 genotype in some NS5A inhibitor containing IFN-free regimens.
UNLABELLED: Single-nucleotide polymorphisms (SNPs) in the interferon lambda 4 (IFNL4) gene are predictors for treatment success in patients with hepatitis C virus (HCV) infection. For direct-acting antiviral combinations only weak association with IFNL4 SNPs was observed. Little is known about potential selections of resistance-associated variants (RAVs) by the IFNL4 genotype. This study analyzed the prevalence of RAVs to currently approved direct-acting antivirals in a large European population in correlation to SNPs in IFNL4. Samples of 633 patients chronically infected with HCV genotypes 1a (n = 259), 1b (n = 323), and 3 (n = 51) were genotyped for rs12979860 (formerly known as IL28B) and rs368234815. RAVs in NS3, NS5A, and NS5B were detected by population-based sequencing. In addition, IFNL4 SNPs and NS5A RAVs were analyzed including deep sequencing (n = 109) in an independent replication cohort of HCV genotype 1-infectedpatients (n = 201). No significant correlation was found between IFNL4 SNPs and rare and common RAVs within NS3 and NS5B. In contrast, the NS5A RAV Y93H was detected frequently in HCV genotype 1b (14%) and significantly associated with the beneficial IFNL4 SNPs (P < 0.001 and P = 0.002, respectively). Moreover, the presence of Y93H in HCV genotype 1b patients was significantly associated with the second site variant T83M (P < 0.001). Independent factors significantly associated with the presence of Y93H were IFNL4 genotype and high baseline viral load. CONCLUSION: The NS5A RAV Y93H is significantly associated with the presence of beneficial IFNL4 SNPs and a high baseline viral load in HCV genotype 1-infectedpatients, which may explain a lack of correlation or even an inverse correlation of treatment response with IFNL4 genotype in some NS5A inhibitor containing IFN-free regimens.
Authors: Taylor Aiken; Ari Garber; Dawn Thomas; Nicole Hamon; Rocio Lopez; Rajesh Konjeti; Arthur McCullough; Nizar Zein; John Fung; Medhat Askar; Binu V John Journal: PLoS One Date: 2016-11-22 Impact factor: 3.240
Authors: Auda A Eltahla; Preston Leung; Mehdi R Pirozyan; Chaturaka Rodrigo; Jason Grebely; Tanya Applegate; Lisa Maher; Fabio Luciani; Andrew R Lloyd; Rowena A Bull Journal: Sci Rep Date: 2017-01-31 Impact factor: 4.379
Authors: Julia Dietz; Daniel Rupp; Simone Susser; Johannes Vermehren; Kai-Henrik Peiffer; Natalie Filmann; Dimitra Bon; Thomas Kuntzen; Stefan Mauss; Georgios Grammatikos; Dany Perner; Caterina Berkowski; Eva Herrmann; Stefan Zeuzem; Ralf Bartenschlager; Christoph Sarrazin Journal: PLoS One Date: 2016-06-09 Impact factor: 3.240
Authors: Vincent Pedergnana; David Smith; Paul Klenerman; Eleanor Barnes; Chris C A Spencer; M Azim Ansari Journal: Hepatology Date: 2016-04-18 Impact factor: 17.425
Authors: Valli De Re; Mariangela De Zorzi; Laura Caggiari; Gianfranco Lauletta; Maria Lina Tornesello; Elisa Fognani; Marta Miorin; Vito Racanelli; Luca Quartuccio; Laura Gragnani; Sabino Russi; Fabio Pavone; Michela Ghersetti; Elena Garlatti Costa; Pietro Casarin; Riccardo Bomben; Cesare Mazzaro; Giancarlo Basaglia; Massimiliano Berretta; Emanuela Vaccher; Francesco Izzo; Franco Maria Buonaguro; Salvatore De Vita; Anna Linda Zignego; Paolo De Paoli; Riccardo Dolcetti Journal: Oncotarget Date: 2016-06-21