miR-873-5p targets mitochondrial GNMT-Complex II interface contributing to non-alcoholic fatty liver disease

Abstract

Objective: Non-alcoholic fatly liver disease (NAFLD) is a complex pathology in which several dysfunctions, including alterations in metabolic pathways, mitochondrial functionality and unbalanced lipid import/export, lead to lipid accumulation and progression to inflammation and fibrosis. The enzyme glycine N-methyltransferase (GNMT), the most important enzyme implicated in S-adenosylmethionine catabolism in the liver, is downregulated during NAFLD progression. We have studied the mechanism involved in GNMT downregulation by its repressor microRNA miR-873-5p and the metabolic pathways affected in NAFLD as well as the benefit of recovery GNMT expression. Methods: miR-873-5p and GNMT expression were evaluated in liver biopsies of NAFLD/NASH patients. Different in vitro and in vivo NAFLD murine models were used to assess miR-873-5p/GNMT involvement in fatty liver progression through targeting of the miR-873-5p as NAFLD therapy. Results: We describe a new function of GNMT as an essential regulator of Complex II activity in the electron transport chain in the mitochondria. In NAFLD, GNMT expression is controlled by miR-873-5p in the hepatocytes, leading to disruptions in mitochondria! functionality in a preclinical murine non-alcoholic steatohepatitis (NASH) model. Upregulation of miR-873-5p is shown in the liver of NAFLD/NASH patients, correlating with hepatic GNMT depletion. Importantly, NASH therapies based on anti-miR-873-5p resolve lipid accumulation, inflammation and fibrosis by enhancing fatty acid beta-oxidation in the mitochondria. Therefore, miR-873-5p inhibitor emerges as a potential tool for NASH treatment. Conclusion: GNMT participates in the regulation of metabolic pathways and mitochondria! functionality through the regulation of Complex II activity in the electron transport chain. In NAFLD, GNMT is repressed by miR-873-5p and its targeting arises as a valuable therapeutic option for treatment. (C) 2019 The Authors. Published by Elsevier GmbH.This work was supported by grants from NIH (US Department of Health and Human services)-R01AT001576 (to S.C.L., J.M.M., and M.L.M.-C.), Ministerio de Economia, Industria y Competitividad: SAF2017-87301-R (to M.L.M.-C.), SAF2015-64352-R (to P.A.), Gobierno Vasco-Departamento de Salud 2013111114 (to M.L.M.-C.), Gobierno Vasco-Departamento de Educacion IT-336-10 (to PA), BIOEF (Basque Foundation for Innovation and Health Research: EiTB Maratoia BIO15/CA/016/BD (M.L.M.-C.), ELKARTEK 2016, Departamento de Industria del Gobierno Vasco (to M.L.M.-C), Asociacion Espanola contra el Cancer (to T.C.D., P.F.-T. and M.L.M.-C.), Mitotherapeutix (to M.L.M.-C.), Daniel Alagille award from EASL (to T.C.D), Fundacion Cientifica de la Asociacion Espanola Contra el Cancer (AECC Scientific Foundation) Rare Tumor Calls 2017 (to M.L.M.-C.), La Caixa Foundation Program (to M.L.M.-C.), Ayudas Fundacion BBVA a Equipos de Investigacion Cientifica 2019 (to M.L.M.-C.). Ciberehd_ISCIII_MINECO is funded by the Instituto de Salud Carlos III. We thank this work produced with the support of a 2017 Leonardo Grant for Researchers and Cultural Creators, BBVA Foundation (to M.V.R.). This work was supported by Fonds National de la Recherche Luxembourg and the Deutsche Forschungsgemeinschaft (C12/BM/3975937, FL/997/7-1, Inter "HepmiRSTAT", to I.B. and F.L.). We thank MINECO for the Severo Ochoa Excellence Accreditation (SEV2016-0644)