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      Hepatocyte mARC1 promotes fatty liver disease

      research-article
      1 , , 1 , 1 , 1 , 1 , 2 , 3 , 1 , 1 , 3 , 1 , 1 , 1 , 4 , 4 , 1 , 4 , 1 , 1 , 1 , 1 , 1 , 2 , 5 , 1 , 4 , 3 , 3 , 1 , 3 , 1 ,
      JHEP Reports
      Elsevier
      Hepatic steatosis, NASH, Mendelian randomisation, Triglycerides

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          Abstract

          Background & Aims

          Non-alcoholic fatty liver disease (NAFLD) has a prevalence of ∼25% worldwide, with significant public health consequences yet few effective treatments. Human genetics can help elucidate novel biology and identify targets for new therapeutics. Genetic variants in mitochondrial amidoxime-reducing component 1 ( MTARC1) have been associated with NAFLD and liver-related mortality; however, its pathophysiological role and the cell type(s) mediating these effects remain unclear. We aimed to investigate how MTARC1 exerts its effects on NAFLD by integrating human genetics with in vitro and in vivo studies of mARC1 knockdown.

          Methods

          Analyses including multi-trait colocalisation and Mendelian randomisation were used to assess the genetic associations of MTARC1. In addition, we established an in vitro long-term primary human hepatocyte model with metabolic readouts and used the Gubra Amylin NASH (GAN)-diet non-alcoholic steatohepatitis mouse model treated with hepatocyte-specific N-acetylgalactosamine (GalNAc)–siRNA to understand the in vivo impacts of MTARC1.

          Results

          We showed that genetic variants within the MTARC1 locus are associated with liver enzymes, liver fat, plasma lipids, and body composition, and these associations are attributable to the same causal variant ( p.A165T, rs2642438 G>A), suggesting a shared mechanism. We demonstrated that increased MTARC1 mRNA had an adverse effect on these traits using Mendelian randomisation, implying therapeutic inhibition of mARC1 could be beneficial. In vitro mARC1 knockdown decreased lipid accumulation and increased triglyceride secretion, and in vivo GalNAc–siRNA-mediated knockdown of mARC1 lowered hepatic but increased plasma triglycerides. We found alterations in pathways regulating lipid metabolism and decreased secretion of 3-hydroxybutyrate upon mARC1 knockdown in vitro and in vivo.

          Conclusions

          Collectively, our findings from human genetics, and in vitro and in vivo hepatocyte-specific mARC1 knockdown support the potential efficacy of hepatocyte-specific targeting of mARC1 for treatment of NAFLD.

          Impact and implications

          We report that genetically predicted increases in MTARC1 mRNA associate with poor liver health. Furthermore, knockdown of mARC1 reduces hepatic steatosis in primary human hepatocytes and a murine NASH model. Together, these findings further underscore the therapeutic potential of targeting hepatocyte MTARC1 for NAFLD.

          Graphical abstract

          Highlights

          • Genetically predicted increases in MTARC1 mRNA associate with poor liver health.

          • mARC1 knockdown decreases lipid accumulation in primary human hepatocytes.

          • Hepatocyte-specific knockdown of mARC1 improves steatosis in a murine NASH model.

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          Most cited references33

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          The UK Biobank resource with deep phenotyping and genomic data

          The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
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            MetaboLights: a resource evolving in response to the needs of its scientific community

            Abstract MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information. In this article, we describe the significant updates that we have made over the last two years to the resource to respond to the increasing amount and diversity of data being submitted by the metabolomics community. We refreshed the website and most importantly, our submission process was completely overhauled to enable us to deliver a far more user-friendly submission process and to facilitate the growing demand for reproducibility and integration with other ‘omics. Metabolomics resources and data are available under the EMBL-EBI’s Terms of Use via the web at https://www.ebi.ac.uk/metabolights and under Apache 2.0 at Github (https://github.com/EBI-Metabolights/).
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              Exome sequencing and characterization of 49,960 individuals in the UK Biobank

              The UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world 1 . Here we describe the release of exome-sequence data for the first 49,960 study participants, revealing approximately 4 million coding variants (of which around 98.6% have a frequency of less than 1%). The data include 198,269 autosomal predicted loss-of-function (LOF) variants, a more than 14-fold increase compared to the imputed sequence. Nearly all genes (more than 97%) had at least one carrier with a LOF variant, and most genes (more than 69%) had at least ten carriers with a LOF variant. We illustrate the power of characterizing LOF variants in this population through association analyses across 1,730 phenotypes. In addition to replicating established associations, we found novel LOF variants with large effects on disease traits, including PIEZO1 on varicose veins, COL6A1 on corneal resistance, MEPE on bone density, and IQGAP2 and GMPR on blood cell traits. We further demonstrate the value of exome sequencing by surveying the prevalence of pathogenic variants of clinical importance, and show that 2% of this population has a medically actionable variant. Furthermore, we characterize the penetrance of cancer in carriers of pathogenic BRCA1 and BRCA2 variants. Exome sequences from the first 49,960 participants highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community.
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                Author and article information

                Contributors
                Journal
                JHEP Rep
                JHEP Rep
                JHEP Reports
                Elsevier
                2589-5559
                03 February 2023
                May 2023
                03 February 2023
                : 5
                : 5
                : 100693
                Affiliations
                [1 ]Novo Nordisk Research Centre Oxford, Oxford, UK
                [2 ]Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, UK
                [3 ]Novo Nordisk A/S, Måløv, Denmark
                [4 ]Dicerna Pharmaceuticals Inc., Lexington, MA, USA
                [5 ]National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital Trusts, Oxford, UK
                Author notes
                []Corresponding authors. Address: Novo Nordisk Research Centre Oxford, Novo Nordisk Ltd, Innovation Building, Old Road Campus, Roosevelt Drive, OX3 7FZ, Oxford, UK. Tel.: +44-7979927835. lqle@ 123456novonordisk.com mwry@ 123456novonordisk.com
                Article
                S2589-5559(23)00024-1 100693
                10.1016/j.jhepr.2023.100693
                10133763
                37122688
                2c056634-3a86-4ce1-9704-4b18c70ff9f3
                © 2023 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 September 2022
                : 19 January 2023
                : 21 January 2023
                Categories
                Research Article

                hepatic steatosis,nash,mendelian randomisation,triglycerides

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