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      Metabolic signatures across the full spectrum of non-alcoholic fatty liver disease

      research-article
      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 2 , 3 , 2 , 11 , , , 1 , 12 , ,
      JHEP Reports
      Elsevier
      Fibrosis, Lipidomics, Mass spectrometry, Metabolomics, Non-alcoholic steatohepatitis, 2-HB, 2-hydroxybutanoic acid, 3-HB, 3-hydroxybutanoic acid, ALT, alanine aminotransferase, AST, aspartate aminotransferase, CE, cholesterol ester, Cer, ceramide, FFA, free fatty acid, FLIP, Fatty Liver Inhibition of Progression, GC, gas chromatography, HCC, hepatocellular carcinoma, HSD, honest significant difference, LC, lipid cluster, LDL, low-density lipoprotein, LM, lipid and metabolite, LMC, lipid, metabolite, and clinical variable, LPC, lysophosphatidylcholine, NAFL, non-alcoholic fatty liver, NAFLD, non-alcoholic fatty liver disease, NAS, NASH activity score, NASH, non-alcoholic steatohepatitis, NIDDK NASH-CRN, National Institute of Digestive Diseases and Kidney NASH Clinical Research Network , NRR, non-rejection rate, PC, phosphatidylcholine, PCA, principal component analysis, PC(O), ether PC, PE, phosphatidylethanolamine, QTOFMS, quadrupole-time-of-flight mass spectrometry, ROC, receiving operator characteristic, SAF, steatosis, activity, and fibrosis, SM, sphingomyelin, T2DM, type 2 diabetes mellitus, TG, triacylglycerol, UHPLC, ultrahigh-performance liquid chromatography

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          Abstract

          Background & Aims

          Non-alcoholic fatty liver disease (NAFLD) is a progressive liver disease with potentially severe complications including cirrhosis and hepatocellular carcinoma. Previously, we have identified circulating lipid signatures associating with liver fat content and non-alcoholic steatohepatitis (NASH). Here, we develop a metabolomic map across the NAFLD spectrum, defining interconnected metabolic signatures of steatosis (non-alcoholic fatty liver, NASH, and fibrosis).

          Methods

          We performed mass spectrometry analysis of molecular lipids and polar metabolites in serum samples from the European NAFLD Registry patients (n = 627), representing the full spectrum of NAFLD. Using various univariate, multivariate, and machine learning statistical approaches, we interrogated metabolites across 3 clinical perspectives: steatosis, NASH, and fibrosis.

          Results

          Following generation of the NAFLD metabolic network, we identify 15 metabolites unique to steatosis, 18 to NASH, and 15 to fibrosis, with 27 common to all. We identified that progression from F2 to F3 fibrosis coincides with a key pathophysiological transition point in disease natural history, with n = 73 metabolites altered.

          Conclusions

          Analysis of circulating metabolites provides important insights into the metabolic changes during NAFLD progression, revealing metabolic signatures across the NAFLD spectrum and features that are specific to NAFL, NASH, and fibrosis. The F2–F3 transition marks a critical metabolic transition point in NAFLD pathogenesis, with the data pointing to the pathophysiological importance of metabolic stress and specifically oxidative stress.

          Clinical Trials registration

          The study is registered at Clinicaltrials.gov (NCT04442334).

          Lay summary

          Non-alcoholic fatty liver disease is characterised by the build-up of fat in the liver, which progresses to liver dysfunction, scarring, and irreversible liver failure, and is markedly increasing in its prevalence worldwide. Here, we measured lipids and other small molecules (metabolites) in the blood with the aim of providing a comprehensive molecular overview of fat build-up, liver fibrosis, and diagnosed severity. We identify a key metabolic ‘watershed’ in the progression of liver damage, separating severe disease from mild, and show that specific lipid and metabolite profiles can help distinguish and/or define these cases.

          Graphical abstract

          Highlights

          • We assembled a highly phenotyped and characterised cohort of patients with NAFLD across the full spectrum of NAFLD.

          • Lipidomic and metabolomic interrogation of this dataset reveals crucial metabolic tipping point of NAFLD at fibrosis stage F2–F3.

          • NAFLD processes of fibrosis, steatosis, and NASH progression parallel distinct changes in metabolomic profiles.

          • Oxidative stress-buffering potential of the liver via ether lipids appears 1 of the key changes en route to late-stage NASH.

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          Most cited references38

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          Design and validation of a histological scoring system for nonalcoholic fatty liver disease.

          Nonalcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis in the absence of a history of significant alcohol use or other known liver disease. Nonalcoholic steatohepatitis (NASH) is the progressive form of NAFLD. The Pathology Committee of the NASH Clinical Research Network designed and validated a histological feature scoring system that addresses the full spectrum of lesions of NAFLD and proposed a NAFLD activity score (NAS) for use in clinical trials. The scoring system comprised 14 histological features, 4 of which were evaluated semi-quantitatively: steatosis (0-3), lobular inflammation (0-2), hepatocellular ballooning (0-2), and fibrosis (0-4). Another nine features were recorded as present or absent. An anonymized study set of 50 cases (32 from adult hepatology services, 18 from pediatric hepatology services) was assembled, coded, and circulated. For the validation study, agreement on scoring and a diagnostic categorization ("NASH," "borderline," or "not NASH") were evaluated by using weighted kappa statistics. Inter-rater agreement on adult cases was: 0.84 for fibrosis, 0.79 for steatosis, 0.56 for injury, and 0.45 for lobular inflammation. Agreement on diagnostic category was 0.61. Using multiple logistic regression, five features were independently associated with the diagnosis of NASH in adult biopsies: steatosis (P = .009), hepatocellular ballooning (P = .0001), lobular inflammation (P = .0001), fibrosis (P = .0001), and the absence of lipogranulomas (P = .001). The proposed NAS is the unweighted sum of steatosis, lobular inflammation, and hepatocellular ballooning scores. In conclusion, we present a strong scoring system and NAS for NAFLD and NASH with reasonable inter-rater reproducibility that should be useful for studies of both adults and children with any degree of NAFLD. NAS of > or =5 correlated with a diagnosis of NASH, and biopsies with scores of less than 3 were diagnosed as "not NASH."
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            Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention

            NAFLD is one of the most important causes of liver disease worldwide and will probably emerge as the leading cause of end-stage liver disease in the coming decades, with the disease affecting both adults and children. The epidemiology and demographic characteristics of NAFLD vary worldwide, usually parallel to the prevalence of obesity, but a substantial proportion of patients are lean. The large number of patients with NAFLD with potential for progressive liver disease creates challenges for screening, as the diagnosis of NASH necessitates invasive liver biopsy. Furthermore, individuals with NAFLD have a high frequency of metabolic comorbidities and could place a growing strain on health-care systems from their need for management. While awaiting the development effective therapies, this disease warrants the attention of primary care physicians, specialists and health policy makers.
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              Mechanisms of NAFLD development and therapeutic strategies

              There has been a rise in the prevalence of nonalcoholic fatty liver disease (NAFLD), paralleling a worldwide increase in diabetes and metabolic syndrome. NAFLD, a continuum of liver abnormalities from nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH), has a variable course but can lead to cirrhosis and liver cancer. Here we review the pathogenic and clinical features of NAFLD, its major comorbidities, clinical progression and risk of complications and in vitro and animal models of NAFLD enabling refinement of therapeutic targets that can accelerate drug development. We also discuss evolving principles of clinical trial design to evaluate drug efficacy and the emerging targets for drug development that involve either single agents or combination therapies intended to arrest or reverse disease progression.
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                Author and article information

                Contributors
                Journal
                JHEP Rep
                JHEP Rep
                JHEP Reports
                Elsevier
                2589-5559
                26 March 2022
                May 2022
                26 March 2022
                : 4
                : 5
                : 100477
                Affiliations
                [1 ]School of Medical Sciences, Örebro University, Örebro, Sweden
                [2 ]Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
                [3 ]Department of Chemistry, Örebro University, Örebro, Sweden
                [4 ]Assistance Publique-Hôpitaux de Paris, Hôpital Beaujon, University Paris-Diderot, Paris, France
                [5 ]Liver Unit, Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University NHS Foundation Trust, Cambridge, UK
                [6 ]Hepato-Gastroenterology Department, Angers University Hospital, Angers, France
                [7 ]Dipartimento Biomedico di Medicina Interna e Specialistica Di.Bi.M.I.S, University of Palermo, Palermo, Italy
                [8 ]Universidade de Sao Paulo, Sao Paulo, Sao Paulo, Brazil
                [9 ]Department of Medical Sciences, Division of Gastro-Hepatology, A.O. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
                [10 ]Department of Medicine, University Hospital Mainz, Mainz, Germany
                [11 ]Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, UK
                [12 ]Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
                Author notes
                []Corresponding authors. Addresses: Translational and Clinical Research Institute, The Medical School, Newcastle University, 4th Floor, William Leech Building, Framlington Place, Newcastle-upon-Tyne, NE2 4HH, UK. Tel.: + 44-0-191-208-7012 quentin.anstee@ 123456newcastle.ac.uk
                []School of Medical Sciences, Örebro University, Örebro, Sweden. Tel.: +358-0-44-9726094. matej.oresic@ 123456oru.se
                [†]

                These authors are joint senior authors.

                Article
                S2589-5559(22)00049-0 100477
                10.1016/j.jhepr.2022.100477
                9006858
                35434590
                366c5e64-c7ef-46cc-b7a1-1e13023bfdca
                © 2022 The Author(s)

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

                History
                : 6 October 2021
                : 18 February 2022
                : 22 February 2022
                Categories
                Research Article

                fibrosis,lipidomics,mass spectrometry,metabolomics,non-alcoholic steatohepatitis,2-hb, 2-hydroxybutanoic acid,3-hb, 3-hydroxybutanoic acid,alt, alanine aminotransferase,ast, aspartate aminotransferase,ce, cholesterol ester,cer, ceramide,ffa, free fatty acid,flip, fatty liver inhibition of progression,gc, gas chromatography,hcc, hepatocellular carcinoma,hsd, honest significant difference,lc, lipid cluster,ldl, low-density lipoprotein,lm, lipid and metabolite,lmc, lipid, metabolite, and clinical variable,lpc, lysophosphatidylcholine,nafl, non-alcoholic fatty liver,nafld, non-alcoholic fatty liver disease,nas, nash activity score,nash, non-alcoholic steatohepatitis,niddk nash-crn, national institute of digestive diseases and kidney nash clinical research network,nrr, non-rejection rate,pc, phosphatidylcholine,pca, principal component analysis,pc(o), ether pc,pe, phosphatidylethanolamine,qtofms, quadrupole-time-of-flight mass spectrometry,roc, receiving operator characteristic,saf, steatosis, activity, and fibrosis,sm, sphingomyelin,t2dm, type 2 diabetes mellitus,tg, triacylglycerol,uhplc, ultrahigh-performance liquid chromatography

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