Literature DB >> 29064576

Molecular characterization of hepatitis C virus in end-stage renal disease patients under hemodialysis.

Rafael Alves da Silva1,2, Jardelina de Souza Todão1, Fernando Luiz Kamitani2, Antonio Eduardo Benedito Silva1,3, Roberto José de Carvalho-Filho1,3, Maria Lucia Cardoso Gomes Ferraz1,3, Isabel Maria Vicente Guedes de Carvalho1,2.   

Abstract

New direct-acting antiviral (DAA) agents are in development or already approved for the treatment of chronic hepatitis C virus (HCV) infection. The effectiveness of these drugs is related to the previous existence of resistant variants. Certain clinical conditions can allow changes in immunological characteristics of the host and even modify genetic features of viral populations. The aim of this study was to perform HCV molecular characterization from samples of end-stage renal disease patients on hemodialysis (ESRD-HD). Nested PCR and Sanger sequencing were used to obtain genetic information from the NS5B partial region of a cohort composed by 86 treatment-naïve patients. Genomic sequences from the Los Alamos databank were employed for comparative analysis. Bioinformatics methodologies such as phylogenetic reconstructions, informational entropy, and mutation analysis were used to analyze datasets separated by geographical location, HCV genotype, and renal function status. ESRD-HD patients presented HCV genotypes 1a (n = 18), 1b (n = 16), 2a (n = 2), 2b (n = 2), and 3a (n = 4). Control subjects were infected with genotypes 1a (n = 11), 1b (n = 21), 2b (n = 4), and 3a (n = 8). Dataset phylogenetic reconstruction separated HCV subtype 1a into two distinct clades. The entropy analysis from the ESRD-HD group revealed two amino acid positions related to an epitope for cytotoxic T lymphocytes and T helper cells. Genotype 1a was found to be more diverse than subtype 1b. Also, genotype 1a ERSD-HD patients had a higher mean of amino acids changes in comparison to control group patients. The identification of specific mutations on epitopes and high genetic diversity within the NS5B HCV partial protein in hemodialysis patients can relate to host immunological features and geographical distribution patterns. This genetic diversity can affect directly the new DAA's resistance mechanisms.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  evolution; genetic variability; genetics; hepatitis C virus; mutation; virus classification

Mesh:

Substances:

Year:  2017        PMID: 29064576     DOI: 10.1002/jmv.24976

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  4 in total

Review 1.  Hepatitis C in Hemodialysis Units: diagnosis and therapeutic approach.

Authors:  Natasha Silva Constancio; Maria Lucia Gomes Ferraz; Carmen Tzanno Branco Martins; Angiolina Campos Kraychete; Paulo Lisboa Bitencourt; Marcelo Mazza do Nascimento
Journal:  J Bras Nefrol       Date:  2019 Oct-Dec

2.  Prevalence of resistance-associated substitutions to direct-acting antiviral agents in hemodialysis and renal transplant patients infected with hepatitis C virus.

Authors:  Rita Chelly Felix Tavares; Ana Cristina de Castro Amaral Feldner; João Renato Rebello Pinho; Fernanda de Mello Malta; Roberto José Carvalho-Filho; Rúbia Anita Ferraz Santana; Vanessa Fusco Duarte de Castro; Gregório Tadeu Fernando Dastoli; Juliana Custódio Lima; Maria Lucia Cardoso Gomes Ferraz
Journal:  Infect Drug Resist       Date:  2018-10-25       Impact factor: 4.003

3.  Lower Rates Of Naturally Occurring Resistance-Associated Substitutions (RASs) In Hepatitis C Virus (HCV)-Infected Chronic Kidney Disease (CKD) Patients Than In HCV-Infected Patients With Only Liver Disease.

Authors:  Ekta Gupta; Manish Chandra Choudhary; Nimisha Upadhyay; Gaurav Singh; Suman Lata Nayak; Manoj Kumar; Shiv Kumar Sarin
Journal:  Infect Drug Resist       Date:  2019-11-22       Impact factor: 4.003

4.  Lymphopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A systemic review and meta-analysis.

Authors:  Qianwen Zhao; Meng Meng; Rahul Kumar; Yinlian Wu; Jiaofeng Huang; Yunlei Deng; Zhiyuan Weng; Li Yang
Journal:  Int J Infect Dis       Date:  2020-05-04       Impact factor: 3.623

  4 in total

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