Arrebola, Nicolás Olea, Javier Fernández-Mena, Jorge L. González-Calvin
Understanding the genetics of NASH will aid in unraveling its pathogenesis. Aim: To identify gene networks and pathways in NASH. Methods: Hepatic gene expression was performed using Affymetrix Human Gene 1.0 Array in 10 this website women undergoing bariatric surgery (4 NASH; 4 Bland Steatosis [BS]; 2 normal liver). Expression profiles were compared with ANOVA. Genes with > 1.5-fold change between NASH vs BS; and NASH vs Normal, were analyzed by Ingenuity Pathways. Results: Mean age was 37±10 years and median BMI: 52 kg/m2[IQR, 46-58]. All were non-diabetic. Median NAS was 3 [IQR, 2-4]. Most patients had no fibrosis (70%); 30% had Stage 1. No single gene reached statistical significance after genomewide adjustment. There were 95 genes with >1.5-fold change in expression between NASH vs BS and these were analyzed with canonical pathway analysis yielding the following pathways: LXR/RXR Activation (p 0.008); PXR/RXR Activation (p 0.008); LPS/IL-1 Mediated Inhibition of RXR Function (p 0.002); Glutathione-Mediated Detoxification (p 0.009); Valine Degradation (p 0.005). In gene network analyses, the significant cellular/molecular biological functions associated with the NASH genes were: Lipid Metabolism (p 0.0001-0.04); Molecular Transport (p 0.0001-0.04); Small Molecule Biochemistry (p 0.0001-0.04); Amino Acid
Metabolism (p 0.001-0.03); Cellular Development Rapamycin research buy PFKL (p 0.002-0.04). The top scoring gene network in the comparison
of NASH vs BS is outlined in the Table. We also identified 448 genes with >1.5-fold change in expression between NASH vs Normal liver and the top scoring gene network in this comparison is also demonstrated in the Table. Conclusion: These data reveal canonical pathways, gene networks, and biological functions associated with NASH in patients undergoing bariatric surgery, demonstrating the utility of gene pathway analyses to facilitate identification of higher priority target candidates in NASH. Disclosures: The following people have nothing to disclose: Kiran Bambha, Jonathan A. Schoen, Kevin Rothchild, Susan C. Hartley, Linling Cheng, Lucy Golden-Mason, Ivana Yang, Hugo R. Rosen AIM: To validate in clinical practice the potential of NASHMRi as a non-invasive method for the diagnosis of steatohepatitis in patients with non-alcoholic fatty liver disease (NAFLD). METHODS: Seventy-seven consecutive patients suffering from biopsy-proven NAFLD were included, mean age 51 + 14 years, 62% male, 39 patients showed steatohepatitis. One non-contrast-enhanced MRI protocol was performed using 1.5 Tesla General Electric MRI (n=41) and Philips MRI system (n=36). Optical analysis and architectural neural networks was used to define NASHMRi [Estimators E28, E42, E48, 74] as previously reported (Gallego-Durán et al. J Hepatol 2013;58:S8). RESULTS: Eighty-one patients were recruited for the study.