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Osteopontin gene polymorphisms as predictors for the efficacy of interferon therapy in chronic hepatitis C Egyptian patients with genotype 4
Author(s) -
Shaker Olfat,
ElShehaby Amal,
Fayez Salwa,
Zahra Amr,
Marzouk Samar,
El Raziky Maissa
Publication year - 2013
Publication title -
cell biochemistry and function
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.933
H-Index - 61
eISSN - 1099-0844
pISSN - 0263-6484
DOI - 10.1002/cbf.2954
Subject(s) - single nucleotide polymorphism , osteopontin , genotype , pegylated interferon , snp , ribavirin , medicine , hepatitis c virus , logistic regression , hepatitis c , interferon , immunology , gastroenterology , univariate analysis , virology , biology , gene , multivariate analysis , virus , genetics
This study aimed to determine the relationship between osteopontin gene polymorphisms and its protein level and the efficacy of interferon‐based therapies in Hepatitis C virus (HCV) patients. Hundreds HCV patients genotype 4, treated with pegylated interferon alfa‐2b plus ribavirin and 60 healthy subjects were enrolled. All individuals were subjected to clinical and laboratory parameters, including hepatitis markers and HCV quantitation by real‐time polymerase chain reaction. Single nucleotide polymorphisms (SNPs) of osteopontin (OPN) gene (nucleotide −155, −443 and −1748) were analysed by direct sequencing in addition to estimation of serum level of OPN. SNP at −443 (C/C versus C/T, T/T) was found to represent predictors for treatment response by univariate logistic regression analysis. OPN serum level was independent predictors for treatment response by both univariate and multivariate logistic regression analysis. SNP at nucleotide −443 and serum OPN protein levels could be used as useful markers to predict the efficacy of treatment. Copyright © 2013 John Wiley & Sons, Ltd.