OBJECTIVES: Metabolic profiles correlate with hepatitis C virus (HCV) infection and are known to be predictors of virologic responses in chronic hepatitis C patients on interferon-based treatment. However, little is known about the differential association of lipid profiles with hepatitis C viral load between genotype 1 and 2 infections. The aim of this study was to evaluate the impact of lipid profiles on HCV RNA levels in patients with genotypes 1 and 2. METHODS: A total of 531 chronic hepatitis C patients infected patients with HCV genotype 1 or 2 were consecutively enrolled. Univariate and multivariate approaches were used to estimate the associations between demographic, metabolic, and viral variables and HCV RNA levels. RESULTS: Higher serum triglyceride, total cholesterol, and low-density lipoprotein levels correlated with higher HCV RNA levels. In multivariate analysis, genotype 1 infection, severe hepatitis activity, milder hepatic fibrosis, higher homeostasis model assessment of insulin resistance (HOMA-IR) index and triglyceride levels are associated with higher HCV viral loads (P<0.05). Subanalysis on patients with lower body mass index values showed higher HCV viral load was associated with higher HOMA-IR index and total cholesterol level (P<0.05). After stratification by HCV genotype, lipid profiles were significantly associated with HCV viral load in genotype 2 infection (P<0.05), but not genotype 1 infection. CONCLUSIONS: A proportional relationship is found between serum lipid profiles and hepatitis C viral load in patients with genotype 2 infection; however, whether manipulation of lipid profiles would improve the response to current anti-HCV therapy is to be determined in further studies.
OBJECTIVES: Metabolic profiles correlate with hepatitis C virus (HCV) infection and are known to be predictors of virologic responses in chronic hepatitis Cpatients on interferon-based treatment. However, little is known about the differential association of lipid profiles with hepatitis C viral load between genotype 1 and 2 infections. The aim of this study was to evaluate the impact of lipid profiles on HCV RNA levels in patients with genotypes 1 and 2. METHODS: A total of 531 chronic hepatitis Cpatientsinfectedpatients with HCV genotype 1 or 2 were consecutively enrolled. Univariate and multivariate approaches were used to estimate the associations between demographic, metabolic, and viral variables and HCV RNA levels. RESULTS: Higher serum triglyceride, total cholesterol, and low-density lipoprotein levels correlated with higher HCV RNA levels. In multivariate analysis, genotype 1 infection, severe hepatitis activity, milder hepatic fibrosis, higher homeostasis model assessment of insulin resistance (HOMA-IR) index and triglyceride levels are associated with higher HCV viral loads (P<0.05). Subanalysis on patients with lower body mass index values showed higher HCV viral load was associated with higher HOMA-IR index and total cholesterol level (P<0.05). After stratification by HCV genotype, lipid profiles were significantly associated with HCV viral load in genotype 2 infection (P<0.05), but not genotype 1 infection. CONCLUSIONS: A proportional relationship is found between serum lipid profiles and hepatitis C viral load in patients with genotype 2 infection; however, whether manipulation of lipid profiles would improve the response to current anti-HCV therapy is to be determined in further studies.
Authors: K Patel; R Jhaveri; J George; G Qiang; C Kenedi; K Brown; C Cates; A Zekry; H L Tillmann; L Elliott; R Kilaru; J Albrecht; A Conrad; J G McHutchison Journal: J Viral Hepat Date: 2011-05 Impact factor: 3.728