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Background & Aims Hepatitis C virus (HCV) associates with lipoproteins to form “lipoviral particles” (LVPs) that can facilitate viral entry into hepatocytes. Initial attachment occurs via heparan sulphate proteoglycans and low-density lipoprotein receptor (LDLR); CD81 then mediates a post-attachment event. Proprotein convertase subtilisin kexin type 9 (PCSK9) enhances the degradation of the LDLR and modulates liver CD81 levels. We measured LVP and PCSK9 in patients chronically infected with HCV genotype (G)3. PCSK9 concentrations were also measured in HCV-G1 to indirectly examine the role of LDLR in LVP clearance. Methods HCV RNA, LVP ( d <1.07 g/ml) and non-LVP ( d >1.07 g/ml) fractions, were quantified in patients with HCV-G3 (n = 39) by real time RT-PCR and LVP ratios (LVPr; LVP/(LVP + non-LVP)) were calculated. Insulin resistance (IR) was assessed using the homeostasis model assessment of IR (HOMA-IR). Plasma PCSK9 concentrations were measured by ELISA in HCV-G3 and HCV-G1 (n = 51). Results In HCV-G3 LVP load correlated inversely with HDL-C (r = −0.421; p = 0.008), and apoE (r = −0.428; p = 0.013). The LVPr varied more than 35-fold (median 0.286; range 0.027 to 0.969); PCSK9 was the strongest negative predictor of LVPr (R 2 = 16.2%; p = 0.012). HOMA-IR was not associated with LVP load or LVPr. PCSK9 concentrations were significantly lower in HCV-G3 compared to HCV-G1 ( p <0.001). PCSK9 did not correlate with LDL-C in HCV-G3 or G1. Conclusions The inverse correlation of LVP with apoE in HCV-G3, compared to the reverse in HCV-G1 suggests HCV genotype-specific differences in apoE mediated viral entry. Lower PCSK9 and LDL concentrations imply upregulated LDLR activity in HCV-G3. [ABSTRACT FROM AUTHOR]

Neuro-psychiatric and cognitive disorders are frequent in patients with chronic hepatitis C (CHC) virus (HCV) infection which adversely impact quality of life, antiviral treatment adherence and outcome. HCV has neurotrophic properties and affects lipid metabolism, essential for cognitive function. We evaluated the relationship of lipid profiles with depression and anxiety symptoms and the effects of 12-weeks of therapy with fluvastatin and omega-3 ethyl esters (n-3 PUFA) in a randomised pilot study of CHC prior non-responders. Participants ( n = 60) had fasting lipid profiles and assessment of depression and anxiety symptoms using the Hospital Anxiety and Depression Scale (HADS) questionnaire at each study visit. At screening 26/60 (43 %) had HADS-A score ≥8 and 13/60 (22 %) had HADS-D scores ≥8. Depressed patients had significantly lower apolipoprotein-E concentrations (30 mg/l vs 39 mg/l, P = 0.029) than those without depression and a tendency toward lower total cholesterol (3.8 vs 4.4 mmol/l, P = 0.053). 3 patients discontinued lipid-modifying treatment because of worsening depression. However, there was a small but significant improvement in anxiety symptoms after 12-weeks of high-dose (2-4 g daily) n-3 PUFA. In conclusion, depression in CHC is associated with plasma apoE deficiency. We postulate that apoE deficiency disrupts blood brain barrier integrity to promote HCV infection of the CNS. High-dose n-PUFAs may alleviate anxiety in some CHC patients but the use of lipid lowering therapy must be balanced against risks of worsening depression. [ABSTRACT FROM AUTHOR]

Background & Aims The extent of liver fibrosis predicts long-term outcomes, and hence impacts management and therapy. We developed a non-invasive algorithm to stage fibrosis using non-parametric, machine learning methods designed for predictive modeling, and incorporated an invariant genetic marker of liver fibrosis risk. Methods Of 4277 patients with chronic liver disease, 1992 with chronic hepatitis C (derivation cohort) were analyzed to develop the model, and subsequently validated in an independent cohort of 1242 patients. The model was assessed in cohorts with chronic hepatitis B (CHB) (n = 555) and non-alcoholic fatty liver disease (NAFLD) (n = 488). Model performance was compared to FIB-4 and APRI, and also to the NAFLD fibrosis score (NFS) and Forns’ index, in those with NAFLD. Results Significant fibrosis (⩾F2) was similar in the derivation (48.4%) and validation (47.4%) cohorts. The FibroGENE-DT yielded the area under the receiver operating characteristic curve (AUROCs) of 0.87, 0.85 and 0.804 for the prediction of fast fibrosis progression, cirrhosis and significant fibrosis risk, respectively, with comparable results in the validation cohort. The model performed well in NAFLD and CHB with AUROCs of 0.791, and 0.726, respectively. The negative predictive value to exclude cirrhosis was >0.96 in all three liver diseases. The AUROC of the FibroGENE-DT performed better than FIB-4, APRI, and NFS and Forns’ index in most comparisons. Conclusion A non-invasive decision tree model can predict liver fibrosis risk and aid decision making. [ABSTRACT FROM AUTHOR]

Background & Aims Single nucleotide polymorphisms (SNPs) near the interferon lambda 3 (IFNL3, previously known as IL28B) region are the strongest baseline predictors of sustained virologic response (SVR) to pegylated interferon and ribavirin therapy in hepatitis C virus (HCV) genotype 1 infection. Whether IFNL3 SNPs influence treatment response in genotype 2 and 3 (HCV-2/3) infection remains controversial. This study sought to clarify in a large cohort, whether SNPs in the IFNL3 region are associated with treatment response in HCV-2/3 patients. Methods The cohort comprised 1002 HCV-2/3 Caucasians patients treated with pegylated interferon-alpha and ribavirin who underwent genotyping for the SNPs rs12979860 and rs8099917 Results Overall, 736 (73.5%) patients achieved SVR (81.9%, 67.9%, and 57.8% for rs12979860 CC, CT, and TT [p=0.0001]; 78%, 68.7%, and 46.3% for rs8099917 TT, TG, and GG [p=0.0001]). By logistic regression, both rs12979860 CC and rs8099917 TT were independent predictors of SVR with an odds ratio (OR) of 2.39 (1.19-3.81) p=0.0001 and OR 1.85 (1.15-2.23) p=0.0001, respectively. IFNL3 responder genotypes were more frequent in relapsers than null-responders (p=0.0001 for both SNPs). On-treatment rapid virological response (RVR) was predictive of SVR only in those individuals with IFNL3 non-responder genotypes (rs12979860 CT/TT and rs8099917 TG/GG). Conclusions This adequately powered study in patients with HCV genotypes 2 or 3 infection clearly demonstrates that IFNL3 genotypes are the strongest baseline predictor of SVR, in keeping with the known association for genotype 1 infection. IFNL3 genotyping can aid in therapeutic decision making for these patients. [ABSTRACT FROM AUTHOR]