There is a rising incidence of non-alcoholic fatty liver disease (NAFLD) as well as of the frequency of Hepato-Cellular Carcinoma (HCC) associated with NAFLD. To seek for putative metabolic pathways specific of the NAFLD etiology, we performed comparative metabolomics between HCC associated with NAFLD and HCC associated with cirrhosis. The study included 28 pairs of HCC tissue versus distant Non-Tumoral Tissue (NTT) collected from patients undergoing hepatectomy. HCC was associated with cirrhosis (n = 9), normal liver (n = 6) and NAFLD (n = 13). Metabolomics was performed using 1H-NMR Spectroscopy on tissue extracts and combined to multivariate statistical analysis. In HCC compared to NTT, statistical models showed high levels of lactate and phosphocholine, and low level of glucose. Shared and Unique Structures (SUS) plots were performed to remove the impact of underlying disease on the metabolic profile of HCC. HCC-cirrhosis was characterized by high levels of β-hydroxybutyrate, tyrosine, phenylalanine and histidine whereas HCC-NAFLD was characterized by high levels of glutamine/glutamate. In addition, the overexpression glutamine/glutamate on HCC-NAFLD was confirmed by both Glutamine Synthetase (GS) immuno-staining and NMR-spectroscopy glutamine quantification. This study provides evidence of metabolic specificities of HCC associated with non-cirrhotic NAFLD versus HCC associated with cirrhosis. These alterations could suggest activation of glutamine synthetase pathway in HCC-NAFLD and mitochondrial dysfunction in HCC-cirrhosis, that may be part of specific carcinogenic processes.

Background: Genotype 1b is the most common HCV genotype worldwide, accounting for the largest proportion of infections in Europe, Russia, Latin America and Asia. Reducing treatment duration can improve adherence, reduce drug exposure and cost. Accordingly, we evaluated the efficacy of 8 weeks fixed-dose combination of grazoprevir-elbasvir in treatment-naïve patients, with non-severe fibrosis. Methods: HCV mono-infected and treatment naïve patients with non-severe fibrosis (Fibroscan ® <9.5 kPa and Fibrotest ® < 0.59) were enrolled in a study which included 117 patients. Genotyping by sequencing identified five patients with non-1b genotype (two GT1a, one GT1h, one GT1e and one GT1l). Thus, we included in the final analysis 112 GT1b patients. The primary end point was the proportion of patients with HCVRNA below the lower limit of quantification 12 weeks after treatment (SVR12). Findings: Mean age was 54 ± 13 years, 31% were men and viral load was higher than 800.000 IU/mL in 70 of 112 patients (63%). Using Fibroscan ® , 100 had F0-1 fibrosis score. FIB-4 lower than 1.45 and APRI less than 1 was found in 74/112 (66%) and 107/112 (95%) patients respectively. Relapse occurred in three patients by week 12. These three patients had a viral load higher than 6 million IU/mL and NS5A Y93H RAS (resistance-associated substitution). Then, modified intentionto-treat SVR12 for patients with genotype 1b was 109/112 (97%). By week 24; five relapses were observed and all had the Y93H RAS at relapse. SVR12 was achieved in 100% of patients with a baseline viral load below 6 million and decreased to 98% (98/100) by follow-up week 24. 100mg/day (GZR), a protease inhibitor and elbasvir 50 mg/d (EBR),

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Non-Alcoholic Fatty Liver Disease (NAFLD) is considered as the forthcoming predominant cause for hepatocellular carcinoma (HCC). NAFLD-HCC may rise in non-cirrhotic livers in 40 to 50% of patients. The aim of this study was to identify different metabolic pathways of HCC according to fibrosis level (F0F1 vs. F3F4). A non-targeted metabolomics strategy was applied. We analyzed 52 pairs of human HCC and adjacent non-tumoral tissues which included 26 HCC developed in severe fibrosis or cirrhosis (F3F4) and 26 in no or mild fibrosis (F0F1). Tissue extracts were analyzed using 1H-Nuclear Magnetic Resonance spectroscopy. An optimization evolutionary method based on genetic algorithm was used to identify discriminant metabolites. We identified 34 metabolites differentiating the two groups of NAFLD-HCC according to fibrosis level, allowing us to propose two metabolomics phenotypes of NAFLD-HCC. We showed that HCC-F0F1 mainly overexpressed choline derivatives and glutamine, whereas HCC-F3F4 were characterized by a decreased content of monounsaturated fatty acids (FA), an increase of saturated FA and an accumulation of branched amino acids. Comparing HCC-F0F1 and HCC-F3F4, differential expression levels of glucose, choline derivatives and phosphoethanolamine, monounsaturated FA, triacylglycerides were identified as specific signatures. Our metabolomics analysis of HCC tissues revealed for the first time two phenotypes of HCC developed in NAFLD according to fibrosis level. This study highlighted the impact of the underlying liver disease on metabolic reprogramming of the tumor.