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Jia X, Song E, Liu Y, Chen J, Wan P, Hu Y, Ye D, Chakrabarti S, Mahajan H, George J, Yan S, Yu Y, Zhang G, Wang Y, Yang W, Wu L, Hua S, Lee CH, Li H, Jiang X, Lam KSL, Wang C, Xu A. Identification and multicentric validation of soluble CDCP1 as a robust serological biomarker for risk stratification of NASH in obese Chinese. Cell Rep Med 2023; 4:101257. [PMID: 37918406 PMCID: PMC10694619 DOI: 10.1016/j.xcrm.2023.101257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/15/2023] [Accepted: 10/03/2023] [Indexed: 11/04/2023]
Abstract
The definitive diagnosis of non-alcoholic steatohepatitis (NASH) currently relies on invasive and labor-intensive liver biopsy. Here, we identified soluble CUB domain-containing protein 1 (sCDCP1) as a top-ranked non-invasive biomarker for NASH using Olink-based proteomics in 238 obese individuals with liver biopsies. Both the circulating concentration and hepatic mRNA abundance of sCDCP1 were significantly elevated in patients with NASH and correlated closely with each histological feature of NASH. In the pooled multicenter validation cohort, sCDCP1 as a standalone biomarker achieved an area under the receiver operating characteristic (AUROC) of 0.838 (95% confidence interval [CI] 0.789-0.887) for diagnosing NASH, which is better than those achieved with cytokeratin-18 and other non-invasive tests. Furthermore, the C-DAG model established by the combination of sCDCP1 with diabetes, aspartate aminotransferase (AST), and gender accurately rules in and rules out both NASH and fibrotic NASH (gray zones <20%). Thus, sCDCP1-based non-invasive tests can be potentially implemented for screening and early diagnosis of NASH and for ruling out low-risk individuals to avoid unnecessary liver biopsies.
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Affiliation(s)
- Xi Jia
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Erfei Song
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yan Liu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China
| | - Jiarui Chen
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Pei Wan
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yue Hu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Dewei Ye
- Key Laboratory of Glucolipid Metabolic Diseases of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou, China; Key Laboratory of Metabolic Phenotyping in Model Animals, Guangdong Pharmaceutical University, Guangzhou, China
| | - Subrata Chakrabarti
- Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada; Department of Pathology and Laboratory Medicine, London Health Sciences Centre, London, ON, Canada
| | - Hema Mahajan
- Institute of Clinical Pathology and Medical Research, Pathology West, NSW Health Pathology, Sydney, NSW 2145, Australia; University of Western Sydney, Sydney, NSW, Australia
| | - Jacob George
- Storr Liver Centre, The Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Sen Yan
- Dr. Everett Chalmers Hospital, Fredericton, NB, Canada
| | - Yongtao Yu
- Department of Gastrointestinal Surgery, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Guanghui Zhang
- Department of Gastrointestinal Surgery, Zhengzhou Second Hospital, Zhengzhou, China
| | - Yong Wang
- Department of General Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wah Yang
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Lihong Wu
- Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China
| | - Shuang Hua
- Key Laboratory of Glucolipid Metabolic Diseases of the Ministry of Education, Guangdong Pharmaceutical University, Guangzhou, China
| | - Chi Ho Lee
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Huixin Li
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Jiang
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Karen S L Lam
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Cunchuan Wang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Aimin Xu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China; Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China; Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China.
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Gîlcă-Blanariu GE, Budur DS, Mitrică DE, Gologan E, Timofte O, Bălan GG, Olteanu VA, Ștefănescu G. Advances in Noninvasive Biomarkers for Nonalcoholic Fatty Liver Disease. Metabolites 2023; 13:1115. [PMID: 37999211 PMCID: PMC10672868 DOI: 10.3390/metabo13111115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/15/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) currently represents one of the most common liver diseases worldwide. Early diagnosis and disease staging is crucial, since it is mainly asymptomatic, but can progress to nonalcoholic steatohepatitis (NASH) or cirrhosis or even lead to the development of hepatocellular carcinoma. Over time, efforts have been put into developing noninvasive diagnostic and staging methods in order to replace the use of a liver biopsy. The noninvasive methods used include imaging techniques that measure liver stiffness and biological markers, with a focus on serum biomarkers. Due to the impressive complexity of the NAFLD's pathophysiology, biomarkers are able to assay different processes involved, such as apoptosis, fibrogenesis, and inflammation, or even address the genetic background and "omics" technologies. This article reviews not only the currently validated noninvasive methods to investigate NAFLD but also the promising results regarding recently discovered biomarkers, including biomarker panels and the combination of the currently validated evaluation methods and serum markers.
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Affiliation(s)
- Georgiana-Emmanuela Gîlcă-Blanariu
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
- Department of Gastroenterology, “Sf Spiridon” County Clinical Emergency Hospital, 100115 Iași, Romania
| | - Daniela Simona Budur
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
| | - Dana Elena Mitrică
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
- Department of Gastroenterology, “Sf Spiridon” County Clinical Emergency Hospital, 100115 Iași, Romania
| | - Elena Gologan
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
| | - Oana Timofte
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
- Department of Gastroenterology, “Sf Spiridon” County Clinical Emergency Hospital, 100115 Iași, Romania
| | - Gheorghe Gh Bălan
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
- Department of Gastroenterology, “Sf Spiridon” County Clinical Emergency Hospital, 100115 Iași, Romania
| | - Vasile Andrei Olteanu
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
- Department of Gastroenterology, “Sf Spiridon” County Clinical Emergency Hospital, 100115 Iași, Romania
| | - Gabriela Ștefănescu
- Gastroenterology Department, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (G.-E.G.-B.); (D.E.M.); (E.G.); (O.T.); (G.G.B.); (V.A.O.)
- Department of Gastroenterology, “Sf Spiridon” County Clinical Emergency Hospital, 100115 Iași, Romania
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Choudhuri G, Shah S, Kulkarni A, Jagtap N, Gaonkar P, Desai A, Adhav C. Non-alcoholic Steatohepatitis in Asians: Current Perspectives and Future Directions. Cureus 2023; 15:e42852. [PMID: 37664266 PMCID: PMC10473263 DOI: 10.7759/cureus.42852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2023] [Indexed: 09/05/2023] Open
Abstract
Non-alcoholic steatohepatitis (NASH) is a subset of non-alcoholic fatty liver disease (NAFLD), which, apart from excess fat in the liver, may be characterised by some level of inflammatory infiltration and fibrogenesis, occasionally progressing to liver cirrhosis or hepatocellular carcinoma (HCC). The objective of the current review is to elucidate the rising prevalence, the role of microbiome and genetics in pathogenesis, diagnostic challenges, and novel treatment alternatives for NASH. Newer diagnostic techniques are being developed since using liver biopsy in a larger population is not a reasonable option and is primarily restricted to clinical research, at least in developing countries. Besides these technical challenges, another important factor leading to deviation from guideline practice is the lack of health insurance coverage in countries like India. It leads to reluctance on the part of physicians and patients to delay required tests to curb out-of-pocket expenditure. There is no cure for NASH, with liver transplantation remaining the last option for those who progress to end-stage liver disease (ESLD) or are detected with early-stage HCC. Thus, lifestyle modification remains the only viable option for many, but compliance and long-term adherence remain major challenges. In obese individuals, bariatric surgery and weight reduction have shown favourable results. In patients with less severe obesity, endoscopic bariatric metabolic therapies (EBMT) are rapidly emerging as less invasive therapies. However, access and acceptability remain poor for these weight reduction methods. Therefore, intense research is being conducted for potential newer drug classes with several agents currently in phase II or III of clinical development. Some of these have demonstrated promising results, such as a reduction in hepatic fat content, and attenuation of fibrosis with an acceptable tolerability profile in phase II studies. The developments in the management of NASH have been fairly encouraging. Further well-designed long-term prospective studies should be undertaken to generate evidence with definitive results.
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Affiliation(s)
| | - Saumin Shah
- Gastroenterology, Gujarat Gastro and Vascular Hospital, Surat, IND
| | - Anand Kulkarni
- Gastroenterology and Hepatology, Asian Institute of Gastroenterology, Hyderabad, IND
| | - Nitin Jagtap
- Gastroenterology, Asian Institute of Gastroenterology, Hyderabad, IND
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Lee J, Westphal M, Vali Y, Boursier J, Petta S, Ostroff R, Alexander L, Chen Y, Fournier C, Geier A, Francque S, Wonders K, Tiniakos D, Bedossa P, Allison M, Papatheodoridis G, Cortez-Pinto H, Pais R, Dufour JF, Leeming DJ, Harrison S, Cobbold J, Holleboom AG, Yki-Järvinen H, Crespo J, Ekstedt M, Aithal GP, Bugianesi E, Romero-Gomez M, Torstenson R, Karsdal M, Yunis C, Schattenberg JM, Schuppan D, Ratziu V, Brass C, Duffin K, Zwinderman K, Pavlides M, Anstee QM, Bossuyt PM. Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study. Hepatology 2023; 78:258-271. [PMID: 36994719 DOI: 10.1097/hep.0000000000000364] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 12/22/2022] [Indexed: 03/31/2023]
Abstract
BACKGROUND AND AIMS Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD. APPROACH AND RESULTS Learning data were collected in the Liver Investigation: Testing Marker Utility in Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged and graded according to NASH CRN. Conditions of interest were the clinical trial definition of NASH (NAS ≥ 4;53%), at-risk NASH (NASH with F ≥ 2;35%), significant (F ≥ 2;47%), and advanced fibrosis (F ≥ 3;28%). Thirty-five predictors were included. Missing data were handled by multiple imputations. Data were randomly split into training/validation (75/25) sets. A gradient boosting machine was applied to develop 2 models for each condition: clinical versus extended (clinical and biomarkers). Two variants of the NASH and at-risk NASH models were constructed: direct and composite models.Clinical gradient boosting machine models for steatosis/inflammation/ballooning had AUCs of 0.94/0.79/0.72. There were no improvements when biomarkers were included. The direct NASH model produced AUCs (clinical/extended) of 0.61/0.65. The composite NASH model performed significantly better (0.71) for both variants. The composite at-risk NASH model had an AUC of 0.83 (clinical and extended), an improvement over the direct model. Significant fibrosis models had AUCs (clinical/extended) of 0.76/0.78. The extended advanced fibrosis model (0.86) performed significantly better than the clinical version (0.82). CONCLUSIONS Detection of NASH and at-risk NASH can be improved by constructing independent machine learning models for each component, using only clinical predictors. Adding biomarkers only improved the accuracy of fibrosis.
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Affiliation(s)
- Jenny Lee
- Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, the Netherlands
| | - Max Westphal
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Yasaman Vali
- Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, the Netherlands
| | - Jerome Boursier
- Department of Hepatology, Angers University Hospital, Angers, France
| | - Salvatorre Petta
- Section of Gastroenterology and Hepatology, Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza, Department, University of Palermo, Palermo, Italy
| | | | | | - Yu Chen
- Lilly Research Laboratories, Eli Lilly and Company Ltd (LLY), Indianapolis, Indiana, USA
| | | | - Andreas Geier
- Division of Hepatology, Department of Medicine II, Wurzburg University Hospital, Wurzburg, Germany
| | - Sven Francque
- Department of Gastroenterology Hepatology, Antwerp University Hospital, and Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Belgium
| | - Kristy Wonders
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Dina Tiniakos
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Department of Pathology, Aretaieion Hospital, national and Kapodistrian University of Athens, Athens, Greece
| | - Pierre Bedossa
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Mike Allison
- Liver Unit, Department of Medicine, Cambridge NIHR Biomedical Research Centre, Cambridge University NHS Foundation Trust, CB2 0QQ, Cambridge, UK
| | - Georgios Papatheodoridis
- Gastroenterology Department, National and Kapodistrian University of Athens, General Hospital of Athens "Laiko", Athens, Greece
| | - Helena Cortez-Pinto
- Clínica Universitária de Gastrenterologia, Faculdade de Medicina, Universidade de Lisboa, Portugal
| | - Raluca Pais
- Assistance Publique-Hôpitaux de Paris, hôpital Pitié Salpêtrière, Sorbonne University, ICAN (Institute of Cardiometabolism and Nutrition), Paris, France
| | - Jean-Francois Dufour
- Hepatology, Department of Biomedical Research, University of Bern, Bern, Switzerland
| | | | - Stephen Harrison
- Department of Gastroenterology and Hepatology, Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Jeremy Cobbold
- Department of Gastroenterology and Hepatology, Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Adriaan G Holleboom
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, location AMC, Amsterdam, the Netherlands
| | - Hannele Yki-Järvinen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Javier Crespo
- Department of Gastroenterology and Hepatology, University Hospital Marques de Valdecilla. Research Institute Valdecilla-IDIVAL, Santander, Spain
| | - Mattias Ekstedt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Guruprasad P Aithal
- Nottingham Digestive Diseases Centre, School of Medicine, NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and The University of Nottingham, Nottingham, UK
| | - Elisabetta Bugianesi
- Department of Medical Sciences, Division of Gastro-Hepatology, A.O. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Manuel Romero-Gomez
- UCM Digestive Diseases, ciberehd, Virgen del Rocio University Hospital. Institute of Biomedicine of Seville (CSIC/HUVR/US), Department of Medicine, University of Seville, Seville, Spain
| | - Richard Torstenson
- Cardiovascular, Renal and Metabolism Regulatory Affairs, AstraZeneca, Mölndal, Sweden
| | | | - Carla Yunis
- Internal Medicine and Hospital, Global Product Development, Pfizer, Inc, New York, New York, USA
| | - Jörn M Schattenberg
- Metabolic Liver Research Program, I. Department of Medicine, University Medical Center Mainz, Mainz, Germany
| | - Detlef Schuppan
- Institute of Translational Immunology and Research Center for Immune Therapy, University Medical Center Mainz, Mainz, Germany
- Division of Gastroenterology, Beth Israel Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Vlad Ratziu
- Assistance Publique-Hôpitaux de Paris, hôpital Pitié Salpêtrière, Sorbonne University, ICAN (Institute of Cardiometabolism and Nutrition), Paris, France
| | - Clifford Brass
- Novartis Pharmaceuticals Corporation, East Hanover, New Jersey
| | - Kevin Duffin
- Lilly Research Laboratories, Eli Lilly and Company Ltd (LLY), Indianapolis, Indiana, USA
| | - Koos Zwinderman
- Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Quentin M Anstee
- Department of Gastroenterology Hepatology, Antwerp University Hospital, and Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Belgium
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
| | - Patrick M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, the Netherlands
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Jayasekera D, Hartmann P. Noninvasive biomarkers in pediatric nonalcoholic fatty liver disease. World J Hepatol 2023; 15:609-640. [PMID: 37305367 PMCID: PMC10251277 DOI: 10.4254/wjh.v15.i5.609] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/14/2023] [Accepted: 04/10/2023] [Indexed: 05/24/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide among children and adolescents. It encompasses a spectrum of disease, from its mildest form of isolated steatosis, to nonalcoholic steatohepatitis (NASH) to liver fibrosis and cirrhosis, or end-stage liver disease. The early diagnosis of pediatric NAFLD is crucial in preventing disease progression and in improving outcomes. Currently, liver biopsy is the gold standard for diagnosing NAFLD. However, given its invasive nature, there has been significant interest in developing noninvasive methods that can be used as accurate alternatives. Here, we review noninvasive biomarkers in pediatric NAFLD, focusing primarily on the diagnostic accuracy of various biomarkers as measured by their area under the receiver operating characteristic, sensitivity, and specificity. We examine two major approaches to noninvasive biomarkers in children with NAFLD. First, the biological approach that quantifies serological biomarkers. This includes the study of individual circulating molecules as biomarkers as well as the use of composite algorithms derived from combinations of biomarkers. The second is a more physical approach that examines data measured through imaging techniques as noninvasive biomarkers for pediatric NAFLD. Each of these approaches was applied to children with NAFLD, NASH, and NAFLD with fibrosis. Finally, we suggest possible areas for future research based on current gaps in knowledge.
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Affiliation(s)
- Dulshan Jayasekera
- Department of Internal Medicine and Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, United States
| | - Phillipp Hartmann
- Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology, and Nutrition, University of California San Diego, La Jolla, CA 92093, United States.
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6
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Zhang H, Rios RS, Boursier J, Anty R, Chan WK, George J, Yilmaz Y, Wong VWS, Fan J, Dufour JF, Papatheodoridis G, Chen L, Schattenberg JM, Shi J, Xu L, Wong GLH, Lange NF, Papatheodoridi M, Mi Y, Zhou Y, Byrne CD, Targher G, Feng G, Zheng M. Hepatocyte apoptosis fragment product cytokeratin-18 M30 level and non-alcoholic steatohepatitis risk diagnosis: an international registry study. Chin Med J (Engl) 2023; 136:341-350. [PMID: 36848175 PMCID: PMC10106257 DOI: 10.1097/cm9.0000000000002603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Liver biopsy for the diagnosis of non-alcoholic steatohepatitis (NASH) is limited by its inherent invasiveness and possible sampling errors. Some studies have shown that cytokeratin-18 (CK-18) concentrations may be useful in diagnosing NASH, but results across studies have been inconsistent. We aimed to identify the utility of CK-18 M30 concentrations as an alternative to liver biopsy for non-invasive identification of NASH. METHODS Individual data were collected from 14 registry centers on patients with biopsy-proven non-alcoholic fatty liver disease (NAFLD), and in all patients, circulating CK-18 M30 levels were measured. Individuals with a NAFLD activity score (NAS) ≥5 with a score of ≥1 for each of steatosis, ballooning, and lobular inflammation were diagnosed as having definite NASH; individuals with a NAS ≤2 and no fibrosis were diagnosed as having non-alcoholic fatty liver (NAFL). RESULTS A total of 2571 participants were screened, and 1008 (153 with NAFL and 855 with NASH) were finally enrolled. Median CK-18 M30 levels were higher in patients with NASH than in those with NAFL (mean difference 177 U/L; standardized mean difference [SMD]: 0.87 [0.69-1.04]). There was an interaction between CK-18 M30 levels and serum alanine aminotransferase, body mass index (BMI), and hypertension ( P < 0.001, P = 0.026 and P = 0.049, respectively). CK-18 M30 levels were positively associated with histological NAS in most centers. The area under the receiver operating characteristics (AUROC) for NASH was 0.750 (95% confidence intervals: 0.714-0.787), and CK-18 M30 at Youden's index maximum was 275.7 U/L. Both sensitivity (55% [52%-59%]) and positive predictive value (59%) were not ideal. CONCLUSION This large multicenter registry study shows that CK-18 M30 measurement in isolation is of limited value for non-invasively diagnosing NASH.
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Affiliation(s)
- Huai Zhang
- Department of Biostatistics and Medical Record, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
- Department of Hepatology, MAFLD Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Rafael S. Rios
- Department of Hepatology, MAFLD Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Jerome Boursier
- Service d’Hépato-Gastroentérologie et Oncologie Digestive, Centre Hospitalier Universitaire d’Angers, Angers, France
- Laboratoire HIFIH, UPRES EA3859, SFR ICAT 4208, Université d’Angers, Angers, France
| | - Rodolphe Anty
- Université Côte d’Azur, CHU, INSERM, U1065, C3M, 06204 Nice, France
| | - Wah-Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Yusuf Yilmaz
- Department of Gastroenterology, School of Medicine, Marmara University, Istanbul, Turkey
- Department of Gastroenterology, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Jiangao Fan
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200000, China
| | - Jean-François Dufour
- University Clinic for Visceral Surgery and Medicine, Inselspital, University Hospital Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - George Papatheodoridis
- Academic Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, General Hospital, of Athens “Laiko”, Athens, Greece
| | - Li Chen
- Department of Gastroenterology, Ruijin Hospital, Shanghai 200000, China
| | - Jörn M. Schattenberg
- Metabolic Liver Research Program I, Department of Medicine, University Medical Center Mainz, Mainz, Germany
| | - Junping Shi
- The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310000, China
| | - Liang Xu
- Tianjin Second People's Hospital, Tianjin 300000, China
| | - Grace Lai-Hung Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Naomi F. Lange
- University Clinic for Visceral Surgery and Medicine, Inselspital, University Hospital Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Margarita Papatheodoridi
- Academic Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, General Hospital, of Athens “Laiko”, Athens, Greece
| | - Yuqiang Mi
- Tianjin Second People's Hospital, Tianjin 300000, China
| | - Yujie Zhou
- Department of Hepatology, MAFLD Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai 200000, China
| | - Christopher D. Byrne
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, Southampton General Hospital, Southampton, UK
| | - Giovanni Targher
- Section of Endocrinology, Diabetes and Metabolism, Department of Medicine, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Gong Feng
- Xi’an Medical University, Xi’an, Shaanxi 710000, China
| | - Minghua Zheng
- Department of Hepatology, MAFLD Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
- Institute of Hepatology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
- Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, Zhejiang 325000, China
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Elsayed A, Ismaiel A, Procopio AC, Luzza F, Abenavoli L, Dumitrascu DL. Noninvasive biochemical markers and surrogate scores in evaluating nonalcoholic steatohepatitis. Minerva Med 2022; 113:864-874. [PMID: 35583419 DOI: 10.23736/s0026-4806.22.08185-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The histological features of nonalcoholic steatohepatitis (NASH) are the presence of hepatic steatosis with concomitant inflammation, ballooned hepatocytes, and potential fibrosis, which can lead to liver cirrhosis. To reduce the need for liver biopsy, that is still the gold standard for diagnosing NASH, various noninvasive biomarkers have been investigated. This narrative review summarizes the current knowledge about noninvasive diagnostic biomarkers and scores proposed for patients with NASH. A search was performed in the main medical literature databases. The following search terms were used: NASH, noninvasive biomarkers or NASH scores and panels. We focused only on studies assessing NASH diagnosis or predictive values for biomarkers, panels and scores. Data on their accuracy in predicting NASH were collected. Several panels such as NAFLD Fibrosis Score (NFS), Fibrosis-4 (FIB-4), and FibroMeter presented good predictive values of NASH, with novel proteomics panels such as the NAFLD Fibrosis Protein Panel (NFPP) using mainly the adisintegrin and metalloproteinase with thrombospondin motifs like 2 (ADAMTSL2) that showed an advantage in predicting NASH compared to NFS and FIB-4. Another novel panel, Index of NASH (ION) performed better than cytokeratin 18 (CK-18) in excluding severe fibrosis, but the overall accuracy of ION and CK-18 was modest compared to NFS and FIB-4 as it did not provide any significant advantage. Noninvasive biomarkers are currently unable to replace liver biopsy and histological assessment. However, they may play a key and vital role in triaging patients for liver biopsy, lowering the related financial burden. Future studies are needed to verify the predictive values of the newly emerging tests and panels as well as to find more affordable and reliable noninvasive early diagnostic tools.
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Affiliation(s)
- Abdalla Elsayed
- Department of Internal Medicine, County Emergency Hospital Ilfov, Bucharest, Romania
| | - Abdulrahman Ismaiel
- Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania -
| | - Anna C Procopio
- Department of Health Sciences, The Magna Græcia University of Catanzaro, Catanzaro, Italy
| | - Francesco Luzza
- Department of Health Sciences, The Magna Græcia University of Catanzaro, Catanzaro, Italy
| | - Ludovico Abenavoli
- Department of Health Sciences, The Magna Græcia University of Catanzaro, Catanzaro, Italy
| | - Dan L Dumitrascu
- Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Advance of Serum Biomarkers and Combined Diagnostic Panels in Nonalcoholic Fatty Liver Disease. DISEASE MARKERS 2022; 2022:1254014. [PMID: 35811662 PMCID: PMC9259243 DOI: 10.1155/2022/1254014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/31/2022] [Accepted: 06/02/2022] [Indexed: 02/06/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) affects approximately 25-30% population worldwide, which progresses from simple steatosis to nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and hepatocellular carcinoma, and has complications such as cardiovascular events. Liver biopsy is still the gold standard for the diagnosis of NAFLD, with some limitations, such as invasive, sampling deviation, and empirical judgment. Therefore, it is urgent to develop noninvasive diagnostic biomarkers. Currently, a large number of NAFLD-related serum biomarkers have been identified, including apoptosis, inflammation, fibrosis, adipokines, hepatokines, and omics biomarkers, which could effectively diagnose NASH and exclude patients with progressive fibrosis. We summarized serum biomarkers and combined diagnostic panels of NAFLD, to provide some guidance for the noninvasive diagnosis and further clinical studies.
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Wang Q, Zhou D, Wang M, Zhu M, Chen P, Li H, Lu M, Zhang X, Shen X, Liu T, Chen L. A Novel Non-Invasive Approach Based on Serum Ceruloplasmin for Identifying Non-Alcoholic Steatohepatitis Patients in the Non-Diabetic Population. Front Med (Lausanne) 2022; 9:900794. [PMID: 35795637 PMCID: PMC9252518 DOI: 10.3389/fmed.2022.900794] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Background and AimFew non-invasive models were established to identify patients with non-alcoholic steatohepatitis (NASH). Liver biopsy remains the gold standard in the clinic. Decreased serum ceruloplasmin (CP) is reported in patients with non-alcoholic fatty liver disease (NAFLD). We aimed to develop a non-invasive model incorporating CP for identifying NASH from NAFLD without type 2 diabetes mellitus (T2DM).MethodsA total of 138 biopsy-proven patients with NAFLD without T2DM were enrolled. The CP ratio was calculated for standardization as the CP value divided by the lower limit of normal. The clinical, anthropometric, biochemical, and histological parameters were compared between the low and high CP ratio groups divided by the median value. Multivariate logistic regression analysis was performed to develop a model for identifying NASH in patients with NAFLD.ResultsThe medians of the high (n = 69) and low (n = 69) CP ratio groups were 1.43 (1.28–1.61) and 1.03 (0.94–1.12), respectively. A comparison of the two groups showed that the severity of steatosis, hepatocellular ballooning, inflammation activity, fibrosis, and liver iron deposition decreased along with the CP ratio (p < 0.05). The median CP ratio of patients with NASH was significantly lower than those with NAFL [1.15 (1.01–1.41) vs. 1.33 (1.24–1.54), p = 0.001]. A novel model which consists of the CP ratio, BMI, and aspartate aminotransferase (AST) was developed. The AUCs of the model in discriminating NASH from NAFLD was 0.796 (0.694–0.899) and 0.849 (0.713–0.984) in the training and validation groups, and 0.836 (0.659–1.000), 0.833 (0.705–0.962), and 0.821 (0.612–1.000) in patients with normal serum alanine aminotransferase, AST, and both levels, respectively.ConclusionsDecreased CP ratio is associated with more severe histological activity, a diagnosis of NASH, and hepatic iron deposition among patients with NAFLD without T2DM. The CP ratio model could be served as a non-invasive approach to identifying patients with NASH, which might reduce the need for liver biopsy.
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Affiliation(s)
- Qingling Wang
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Da Zhou
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai, China
| | - Mingjie Wang
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Mingyu Zhu
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Peizhan Chen
- Central Laboratory, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Hu Li
- Department of Infectious Disease, Shanghai Jiao Tong University Affiliated Sixth People‘s Hospital, Shanghai, China
| | - Meng Lu
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
- Research Laboratory of Clinical Virology, Department of Infectious Disease, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Xinxin Zhang
- Research Laboratory of Clinical Virology, Department of Infectious Disease, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Xizhong Shen
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai, China
| | - Taotao Liu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai, China
- Shanghai Institute of Liver Diseases, Fudan University Shanghai Medical College, Shanghai, China
- *Correspondence: Taotao Liu
| | - Li Chen
- Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
- Li Chen
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Huong NTC, Karimzadeh S, Thanh NT, Thuan TM, Sabbah GM, Ismaeil K, An DNT, Huong LT, Huy NT, Thi Le Hoa P. Updated upper limit of normal for serum alanine aminotransferase value in Vietnamese population. BMJ Open Gastroenterol 2022; 9:e000870. [PMID: 35613736 PMCID: PMC9134171 DOI: 10.1136/bmjgast-2022-000870] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 01/31/2022] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Alanine aminotransferase (ALT) is a marker of hepatic damage and its range can be affected by viral hepatitis, alcoholic hepatitis and non-alcoholic fatty liver diseases. We aimed to study the factors associated with higher ALT level and update the upper limit of normal (ULN) in the Vietnamese population. METHODS This cross-sectional study enrolled 8383 adults, aged 18 years and older who visited the Medical Center at Ho Chi Minh City for a health check-up. Following the exclusion criteria, 6677 subjects were included in the analysis. RESULTS Age ≤40 years, male gender, body mass index >23 kg/m2, diastolic blood pressure >85 mm Hg, cholesterol >5.2 mmol/L, triglyceride >1.7 mmol/L, positivity, anti-hepatitis C virus positivity and fatty liver (p<0.05) were associated with higher ALT level (>40 U/L). Without considering age and gender, healthy group is defined after exclusion of participants with one of the mentioned contributing factors. The median ALT level in the healthy group was 18 in men and 13 in women. The ULN at the 95th percentile of the healthy group was 40 U/L in men and 28 U/L in women. CONCLUSION The ULN for ALT in healthy women was lower than in healthy men. Updated ULN for ALT level can promote the identification of unhealthy subjects. More studies that involve ethnicity and lifestyle factors are needed to confirm the new ULN in the Vietnamese population.
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Affiliation(s)
- Nguyen Thi Cam Huong
- Department of Infectious diseases, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Sedighe Karimzadeh
- School of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Nguyen Thi Thanh
- University of Medicine and Pharmacy at Ho Chi Minh city, Ho Chi Minh City, Viet Nam
| | - Tieu Minh Thuan
- McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | | | | | - Dang Nguyen Trung An
- Imaging Diagnostic Department, University of Medicine and Pharmacy at Ho Chi Minh city, Ho Chi Minh City, Viet Nam
| | - Lai To Huong
- Health Screening Department, University Medical Center, Ho Chi Minh City, Viet Nam
| | - Nguyen Tien Huy
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Pham Thi Le Hoa
- Department of Infectious Disease, University of Medicine and Pharmacy at Ho Chi Minh city, Ho Chi Minh City, Viet Nam
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Diagnostic Modalities of Non-Alcoholic Fatty Liver Disease: From Biochemical Biomarkers to Multi-Omics Non-Invasive Approaches. Diagnostics (Basel) 2022; 12:diagnostics12020407. [PMID: 35204498 PMCID: PMC8871470 DOI: 10.3390/diagnostics12020407] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/31/2022] [Accepted: 02/02/2022] [Indexed: 02/05/2023] Open
Abstract
Non-Alcoholic Fatty Liver Disease (NAFLD) is currently the most common cause of chronic liver disease worldwide, and its prevalence is increasing globally. NAFLD is a multifaceted disorder, and its spectrum includes steatosis to steatohepatitis, which may evolve to advanced fibrosis and cirrhosis. In addition, the presence of NAFLD is independently associated with a higher cardiometabolic risk and increased mortality rates. Considering that the vast majority of individuals with NAFLD are mainly asymptomatic, early diagnosis of non-alcoholic steatohepatitis (NASH) and accurate staging of fibrosis risk is crucial for better stratification, monitoring and targeted management of patients at risk. To date, liver biopsy remains the gold standard procedure for the diagnosis of NASH and staging of NAFLD. However, due to its invasive nature, research on non-invasive tests is rapidly increasing with significant advances having been achieved during the last decades in the diagnostic field. New promising non-invasive biomarkers and techniques have been developed, evaluated and assessed, including biochemical markers, imaging modalities and the most recent multi-omics approaches. Our article provides a comprehensive review of the currently available and emerging non-invasive diagnostic tools used in assessing NAFLD, also highlighting the importance of accurate and validated diagnostic tools.
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12
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Segura-Azuara NDLÁ, Varela-Chinchilla CD, Trinidad-Calderón PA. MAFLD/NAFLD Biopsy-Free Scoring Systems for Hepatic Steatosis, NASH, and Fibrosis Diagnosis. Front Med (Lausanne) 2022; 8:774079. [PMID: 35096868 PMCID: PMC8792949 DOI: 10.3389/fmed.2021.774079] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 12/10/2021] [Indexed: 12/12/2022] Open
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD), formerly known as nonalcoholic fatty liver disease, is the most prevalent liver disorder worldwide. Historically, its diagnosis required biopsy, even though the procedure has a variable degree of error. Therefore, new non-invasive strategies are needed. Consequently, this article presents a thorough review of biopsy-free scoring systems proposed for the diagnosis of MAFLD. Similarly, it compares the severity of the disease, ranging from hepatic steatosis (HS) and nonalcoholic steatohepatitis (NASH) to fibrosis, by contrasting the corresponding serum markers, clinical associations, and performance metrics of these biopsy-free scoring systems. In this regard, defining MAFLD in conjunction with non-invasive tests can accurately identify patients with fatty liver at risk of fibrosis and its complications. Nonetheless, several biopsy-free scoring systems have been assessed only in certain cohorts; thus, further validation studies in different populations are required, with adjustment for variables, such as body mass index (BMI), clinical settings, concomitant diseases, and ethnic backgrounds. Hence, comprehensive studies on the effects of age, morbid obesity, and prevalence of MAFLD and advanced fibrosis in the target population are required. Nevertheless, the current clinical practice is urged to incorporate biopsy-free scoring systems that demonstrate adequate performance metrics for the accurate detection of patients with MAFLD and underlying conditions or those with contraindications of biopsy.
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Wu XX, Zheng KI, Boursier J, Chan WK, Yilmaz Y, Romero-Gómez M, El Kassas M, Targher G, Byrne CD, Huang ZM, Zheng MH. acNASH index to diagnose nonalcoholic steatohepatitis: a prospective derivation and global validation study. EClinicalMedicine 2021; 41:101145. [PMID: 34646997 PMCID: PMC8495106 DOI: 10.1016/j.eclinm.2021.101145] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 09/04/2021] [Accepted: 09/14/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND There is an unmet need for non-invasive biomarkers for the diagnosis of nonalcoholic steatohepatitis (NASH) in non-specialized settings. We aimed to develop and validate a non-invasive test for diagnosing NASH in individuals with biopsy-proven nonalcoholic fatty liver disease (NAFLD). METHODS We developed a non-invasive test named the acNASH index that combines serum creatinine and aspartate aminotransferase levels in a derivation cohort of 390 Chinese NAFLD patients admitted to the hepatology center of the First Affiliated Hospital of Wenzhou Medical University (China) between December 2016 and September 2019 and subsequently validated in five external cohorts of different ethnicities of patients with biopsy-confirmed NAFLD (pooled n=1,089). FINDINGS The performance of the acNASH index for identifying NASH (defined as NAFLD activity score ≥5 with score of ≥1 for each steatosis, lobular inflammation and ballooning) was good in the derivation cohort with an area under receiver operating characteristics (AUROC) of 0·818 (95%CI 0·777-0·860). A cutoff of acNASH index <4·15 gave a sensitivity (Se) of 91%, a specificity (Sp) of 48% and a negative predictive value (NPV) of 83% for ruling-out NASH, conversely, a cutoff of acNASH >7·73 gave a Sp of 91%, Se of 53% and a positive predictive value (PPV) of 85% for ruling-in NASH. In the pooled validation cohort (n=1,089), the diagnostic performance of the index was also good with AUROC=0·805 (95%CI 0·780-0·830), NPV of 93% for ruling-out NASH and PPV of 73% for ruling-in NASH. Subgroup analyses showed similar performance in patients with diabetes or subjects with normal serum transaminase levels. INTERPRETATION The acNASH index shows promising utility as a simple non-invasive biomarker for diagnosing NASH among adults with biopsy-proven NAFLD of different ethnicities from different countries. FUNDING The National Natural Science Foundation of China (82070588), High Level Creative Talents from Department of Public Health in Zhejiang Province (S2032102600032) and Project of New Century 551 Talent Nurturing in Wenzhou.
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Key Words
- ALT, alanine aminotransferase
- AST, aspartate aminotransferase
- AUROC, area under receiver operating characteristics
- BMI, body mass index
- CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration
- CRN, Clinical Research Network
- GAA, guanidine-acetic acid
- HBV, chronic viral hepatitis B
- HCV, chronic viral hepatitis C
- NAFLD, nonalcoholic fatty liver disease
- NAS, NAFLD Activity Score
- NASH, nonalcoholic steatohepatitis
- NPV, negative predictive value
- Nonalcoholic steatohepatitis
- PERSONS, Prospective Epidemic Research Specifically Of NASH
- PPV, positive predictive value
- SCr, serum creatinine
- Se, sensitivity
- Sp, specificity
- T2DM, type 2 diabetes mellitus
- e-GFR, estimated glomerular filtration rate
- metabolic dysfunction-associated fatty liver disease
- nonalcoholic fatty liver disease
- primary care
- scoring system
- screening
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Affiliation(s)
- Xi-Xi Wu
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Kenneth I. Zheng
- MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jérôme Boursier
- Department of Hepato-Gastroenterology, Angers University Hospital, Angers, France
| | - Wah-Kheong Chan
- Gastroenterology and Hepatology Unit, Gastrointestinal Endoscopy Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Yusuf Yilmaz
- Liver Research Unit, Institute of Gastroenterology, Marmara University, Istanbul, Turkey
- Department of Gastroenterology, School of Medicine, Marmara University, Istanbul, Turkey
| | - Manuel Romero-Gómez
- Hospital Universitario Virgen del Rocío de Sevilla, Instituto de Biomedicina de Sevilla, Biomedical Research Networking Center in Hepatic and Digestive Diseases, Sevilla, Spain
| | - Mohamed El Kassas
- Department of Endemic Medicine, Faculty of Medicine, Helwan University, Cairo, Egypt
| | - Giovanni Targher
- Section of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona, Verona, Italy
| | - Christopher D. Byrne
- Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton, Southampton General Hospital, Southampton, UK
| | - Zhi-Ming Huang
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ming-Hua Zheng
- MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Institute of Hepatology, Wenzhou Medical University, Wenzhou, China
- The Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
- Corresponding author: Ming-Hua Zheng, MD, PhD, MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University; No. 2 Fuxue Lane, Wenzhou 325000, China. Fax: (86) 577-55578522; Tel: (86) 577-55579611.
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Chang E, Chang JS, Kong ID, Baik SK, Kim MY, Park KS. Multidimensional Biomarker Analysis Including Mitochondrial Stress Indicators for Nonalcoholic Fatty Liver Disease. Gut Liver 2021; 16:171-189. [PMID: 34420934 PMCID: PMC8924798 DOI: 10.5009/gnl210106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 06/15/2021] [Accepted: 06/22/2021] [Indexed: 11/22/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is accompanied by a complex and multifactorial pathogenesis with sequential progressions from inflammation to fibrosis and then to cancer. This heterogeneity interferes with the development of precise diagnostic and prognostic strategies for NAFLD. The current approach for the diagnosis of simple steatosis, steatohepatitis, and cirrhosis mainly consists of ultrasonography, magnetic resonance imaging, elastography, and various serological analyses. However, individual dry and wet biomarkers have limitations demanding an integrative approach for the assessment of disease progression. Here, we review diagnostic strategies for simple steatosis, steatohepatitis and hepatic fibrosis, followed by potential biomarkers associated with fat accumulation and mitochondrial stress. For mitochondrial stress indicators, we focused on fibroblast growth factor 21 (FGF21), growth differentiation factor 15 (GDF15), angiopoietin-related growth factor and mitochondrial-derived peptides. Each biomarker may not strongly indicate the severity of steatosis or steatohepatitis. Instead, multidimensional analysis of different groups of biomarkers based on pathogenic mechanisms may provide decisive diagnostic/prognostic information to develop a therapeutic plan for patients with NAFLD. For this purpose, mitochondrial stress indicators, such as FGF21 or GDF15, could be an important component in the multiplexed and contextual interpretation of NAFLD. Further validation of the integrative evaluation of mitochondrial stress indicators combined with other biomarkers is needed in the diagnosis/prognosis of NAFLD.
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Affiliation(s)
- Eunha Chang
- Department of Physiology, Yonsei University Wonju College of Medicine, Wonju, Korea.,Department of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Jae Seung Chang
- Department of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - In Deok Kong
- Department of Physiology, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Soon Koo Baik
- Department of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea.,Department of Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Moon Young Kim
- Department of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea.,Department of Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Kyu-Sang Park
- Department of Physiology, Yonsei University Wonju College of Medicine, Wonju, Korea.,Department of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea
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15
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Enriched MACK-3 following CHAI and MACK-3 for the noninvasive diagnosis of nonalcoholic steatohepatitis. Ann Hepatol 2021; 19:579-580. [PMID: 32702498 DOI: 10.1016/j.aohep.2020.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 07/13/2020] [Indexed: 02/04/2023]
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16
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Alqahtani SA, Schattenberg JM. Nonalcoholic fatty liver disease: use of diagnostic biomarkers and modalities in clinical practice. Expert Rev Mol Diagn 2021; 21:1065-1078. [PMID: 34346799 DOI: 10.1080/14737159.2021.1964958] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION The global burden of liver disease is increasing, and nonalcoholic fatty liver disease (NAFLD) is among the most common chronic liver diseases in Asia, Europe, North and South America. The field of noninvasive diagnostic and their role in staging, but also predicting outcome is evolving rapidly. There is a high-unmet need to stage patients with NAFLD and to identify the subset of patients at risk of progression to end-stage liver disease. AREAS COVERED The review covers all established diagnostic blood-based and imaging biomarkers to stage and grade NAFLD. Noninvasive surrogate scores are put into perspective of the available evidence and recommended use. The outlook includes genetics, combined algorithms, and artificial intelligence that will allow clinicians to guide and support the management in both early and later disease stages. EXPERT OPINION In the future, these diagnostics tests will help clinicians to establish patient care pathways and support the identification of relevant subgroups for monitoring and pharmacotherapy. In addition, researchers will be guided to better understand available scores and support the development of future prediction systems. These will likely include multiparametric aspects of the disease and machine learning algorithms will refine their use and integration with large datasets.
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Affiliation(s)
- Saleh A Alqahtani
- Liver Transplantation Unit, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.,Division Of Gastroenterology And Hepatology, Johns Hopkins University, Baltimore, USA
| | - Jörn M Schattenberg
- Metabolic Liver Research Program, I. Department Of Medicine, University Medical Center, Mainz, Germany
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Dufour JF, Scherer R, Balp MM, McKenna SJ, Janssens N, Lopez P, Pedrosa M. The global epidemiology of nonalcoholic steatohepatitis (NASH) and associated risk factors–A targeted literature review. ENDOCRINE AND METABOLIC SCIENCE 2021. [DOI: 10.1016/j.endmts.2021.100089] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
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Billeter AT, Wloka S, Behnisch R, Albrecht T, Roessler S, Goeppert B, Mueller S, Nickel F, Müller B. Development and Validation of a Novel Scoring System for Noninvasive Nonalcoholic Steatohepatitis Detection in Bariatric Patients. Obes Facts 2021; 14:490-500. [PMID: 34419953 PMCID: PMC8546458 DOI: 10.1159/000517383] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/20/2021] [Indexed: 12/19/2022] Open
Abstract
INTRODUCTION Nonalcoholic fatty liver disease covers a broad spectrum. Simple steatosis has usually a benign course while nonalcoholic steatohepatitis (NASH) can progress into hepatocellular carcinoma, and cirrhosis. Therefore, differentiating patients with benign steatosis and NASH is crucial. Liver biopsy, the usual gold standard for NASH diagnosis, cannot be used as a screening method due to its associated risks. This is especially problematic for obese patients with a prevalence of nonalcoholic fatty liver disease (NAFLD) in >80% of patients. The aim of this study was therefore to develop and validate a noninvasive NASH screening test in a cohort of high-risk, morbidly obese patients. METHODS This prospective study examined diagnostic accuracy in accordance with STARD guidelines. 112 liver biopsies were consecutively assigned to either a training or validation cohort. Using the Bedossa histological scoring system, the cohorts were subdivided into NASH versus NAFLD/No NAFLD. Predictors of NASH were evaluated with receiver operating characteristic (ROC) curves. A model was then constructed using a backward stepwise logistic regression and evaluated in an independent validation cohort. RESULTS 53.5% of the patients had NASH and 4 patients had cirrhosis. Mean body mass index (BMI) was 49.8 ± 7.5 kg/m2. Backward stepwise logistic regression identified 4 parameters associated with the presence of NASH: alanin-aminotransferase, albumin, BMI, and triglycerides. The noninvasive NASH detection score (NI-NASH-DS) had an ROC of 0.851 and 0.727 in the training and validation cohorts, respectively. Sensitivity and specificity were 77.1% and 88% in the training cohort and 88% and 48% in the validation cohort which was much better than the established noninvasive scores. DISCUSSION/CONCLUSION The NI-NASH-DS is easy-to-use, inexpensive, and noninvasive and can reliably detect NASH in patients with morbid obesity. Due to its simplicity, it can be used frequently and repeatedly.
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Affiliation(s)
- Adrian T. Billeter
- Department of General, Visceral and Transplant Surgery, University of Heidelberg, Heidelberg, Germany
- *Adrian T. Billeter,
| | - Sarah Wloka
- Department of General, Visceral and Transplant Surgery, University of Heidelberg, Heidelberg, Germany
| | - Rouven Behnisch
- Institute of Medical Biometry and Informatics, Heidelberg, Germany
| | - Thomas Albrecht
- Department of Pathology, University of Heidelberg, Heidelberg, Germany
| | | | - Benjamin Goeppert
- Department of Pathology, University of Heidelberg, Heidelberg, Germany
| | - Sebastian Mueller
- Department of Internal Medicine, Salem Medical Center and Center for Alcohol Research, University of Heidelberg, Heidelberg, Germany
| | - Felix Nickel
- Department of General, Visceral and Transplant Surgery, University of Heidelberg, Heidelberg, Germany
| | - Beat Müller
- Department of General, Visceral and Transplant Surgery, University of Heidelberg, Heidelberg, Germany
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Development and Validation of a Scoring System, Based on Genetic and Clinical Factors, to Determine Risk of Steatohepatitis in Asian Patients with Nonalcoholic Fatty Liver Disease. Clin Gastroenterol Hepatol 2020; 18:2592-2599.e10. [PMID: 32062042 DOI: 10.1016/j.cgh.2020.02.011] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 01/28/2020] [Accepted: 02/07/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS There are no biomarkers of nonalcoholic steatohepatitis (NASH) that are ready for routine clinical use. We investigated whether an analysis of PNPLA3 and TM6SF2 genotypes (rs738409 and rs58542926) can be used to identify patients with nonalcoholic fatty liver disease (NAFLD), with and without diabetes, who also have NASH. METHODS We collected data from the Boramae registry in Korea on 453 patients with biopsy-proven NAFLD with sufficient clinical data for calculating scores. Patients enrolled from February 2014 through March 2016 were assigned to cohort 1 (n = 302; discovery cohort) and patients enrolled thereafter were assigned to cohort 2 (n = 151; validation cohort). DNA samples were obtained from all participants and analyzed for the PNPLA3 rs738409 C>G, TM6SF2 rs58542926 C>T, SREBF2 rs133291 C>T, MBOAT7-TMC4 rs641738 C>T, and HSD17B13 rs72613567 adenine insertion (A-INS) polymorphisms. We used multivariable logistic regression analyses with stepwise backward selection to build a model to determine patients' risk for NASH (NASH PT) using the genotype and clinical data from cohort 1 and tested its accuracy in cohort 2. We used the receiver operating characteristic (ROC) curve to compare the diagnostic performances of the NASH PT and the NASH scoring systems. RESULTS We developed a NASH PT scoring system based on PNPLA3 and TM6SF2 genotypes, diabetes status, insulin resistance, and levels of aspartate aminotransferase and high-sensitivity C-reactive protein. NASH PT scores identified patients with NASH with an area under the ROC (AUROC) of 0.859 (95% CI, 0.817-0.901) in cohort 1. In cohort 2, NASH PT scores identified patients with NASH with an AUROC of 0.787 (95% CI, 0.715-0.860), which was significantly higher than the AUROC of the NASH score (AUROC, 0.729; 95% CI, 0.647-0.812; P = .007). The AUROC of the NASH PT score for detecting NASH in patients with NAFLD with diabetes was 0.835 (95% CI, 0.776-0.895) and in patients without diabetes was 0.809 (95% CI, 0.757-0.861). The negative predictive value of the NASH PT score <-0.785 for NASH in patients with NAFLD with diabetes reached 0.905. CONCLUSIONS We developed a scoring system, based on polymorphisms in PNPLA3 and TM6SF2 and clinical factors that identifies patients with NAFLD, with or without diabetes, who have NASH, with an AUROC value of 0.787. This system might help clinicians better identify NAFLD patients at risk for NASH.
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Tincopa MA. Diagnostic and interventional circulating biomarkers in nonalcoholic steatohepatitis. Endocrinol Diabetes Metab 2020; 3:e00177. [PMID: 33102798 PMCID: PMC7576258 DOI: 10.1002/edm2.177] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/17/2020] [Accepted: 07/18/2020] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION In the setting of the obesity epidemic, nonalcoholic fatty liver disease (NAFLD) has become one of the most prevalent forms of chronic liver disease worldwide. Approximately 25% of adults globally have NAFLD which includes those with NAFL, or simple steatosis, and individuals with nonalcoholic steatohepatitis (NASH) where inflammation, hepatocyte injury and potentially hepatic fibrosis are found in conjunction with steatosis. Individuals with NASH, particularly those with hepatic fibrosis, have higher rates of liver-related and overall mortality, making this distinction of significant clinical importance. One of the core challenges in current clinical practice is identifying this subset of individuals with NASH without the use of liver biopsy, the gold standard for both diagnostics and staging disease severity. Identifying noninvasive biomarkers, an accurately measured and reproducible parameter, would aide in identifying patients eligible for NASH pharmacotherapy clinical trials and to help tailor intensity of monitoring required. METHODS RESULTS AND CONCLUSIONS In this review, we highlight both the currently available and novel diagnostic and interventional circulating biomarkers under investigation for NASH, underscoring their accuracy and limitations relevant to our patient population and current clinical practice.
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Affiliation(s)
- Monica A. Tincopa
- Division of Gastroenterology and HepatologyDepartment of Internal MedicineUniversity of MichiganAnn ArborMichiganUSA
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Rosato V, Masarone M, Aglitti A, Persico M. The diagnostic conundrum in non-alcoholic fatty liver disease. EXPLORATION OF MEDICINE 2020. [DOI: 10.37349/emed.2020.00018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has become the most common liver alteration worldwide. It encompasses a spectrum of disorders that range from simple steatosis to a progressive form, defined non-alcoholic steatohepatitis (NASH), that can lead to advanced fibrosis and eventually cirrhosis and hepatocellular carcinoma. On liver histology, NASH is characterized by the concomitant presence of significant fat accumulation and inflammatory reaction with hepatocellular injury. Until now, liver biopsy is still required to differentiate simple steatosis from NASH and evaluate the degree of liver fibrosis. Unfortunately, this technique has well-known limitations, including invasiveness and expensiveness. Moreover, it may be biased by sampling error and intra- or inter-observed variability. Furthermore, due to the increasing prevalence of NAFLD worldwide, to program a systematic screening with liver biopsy is not imaginable. In recent years, different techniques were developed and validated with the aim of non-invasively identifying NASH and assess liver fibrosis degrees. The non-invasive tests range from simple blood-tests analyses to composite scores and complex imaging techniques. Nevertheless, even if they could represent cost-effective strategies for diagnosing NASH, advanced fibrosis and cirrhosis, their accuracy and consequent usefulness are to be discussed. With this aim, in this review the authors summarize the current state of non-invasive assessment of NAFLD. In particular, in addition to the well-established tests, the authors describe the future perspectives in this field, reporting the latest tests based on OMICS, gut-miocrobioma and micro-RNAs. Finally, the authors provide an accurate assessment of how these non-invasive tools perform in clinical practice depending on the clinical context, with the aim of giving the clinicians a useful tool to try to resolve the diagnostic conundrum of NAFLD.
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Affiliation(s)
- Valerio Rosato
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Odontostomatology “Scuola Medica Salernitana”- University of Salerno, Street Salvador Allende, 43, Fisciano, 84084 Campania, Italy
| | - Mario Masarone
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Odontostomatology “Scuola Medica Salernitana”- University of Salerno, Street Salvador Allende, 43, Fisciano, 84084 Campania, Italy
| | - Andrea Aglitti
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Odontostomatology “Scuola Medica Salernitana”- University of Salerno, Street Salvador Allende, 43, Fisciano, 84084 Campania, Italy
| | - Marcello Persico
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Odontostomatology “Scuola Medica Salernitana”- University of Salerno, Street Salvador Allende, 43, Fisciano, 84084 Campania, Italy
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Lee J, Vali Y, Boursier J, Duffin K, Verheij J, Brosnan MJ, Zwinderman K, Anstee QM, Bossuyt PM, Zafarmand MH. Accuracy of cytokeratin 18 (M30 and M65) in detecting non-alcoholic steatohepatitis and fibrosis: A systematic review and meta-analysis. PLoS One 2020; 15:e0238717. [PMID: 32915852 PMCID: PMC7485872 DOI: 10.1371/journal.pone.0238717] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 08/22/2020] [Indexed: 12/16/2022] Open
Abstract
Introduction Association between elevated cytokeratin 18 (CK-18) levels and hepatocyte death has made circulating CK-18 a candidate biomarker to differentiate non-alcoholic fatty liver from non-alcoholic steatohepatitis (NASH). Yet studies produced variable diagnostic performance. We aimed to provide summary estimates with increased precision for the accuracy of CK-18 (M30, M65) in detecting NASH and fibrosis among non-alcoholic fatty liver disease (NAFLD) adults. Methods We searched five databases to retrieve studies evaluating CK-18 against a liver biopsy in NAFLD adults. Reference screening, data extraction and quality assessment (QUADAS-2) were independently conducted by two authors. Meta-analyses were performed for five groups based on the CK-18 antigens and target conditions, using one of two methods: linear mixed-effects multiple thresholds model or bivariate logit-normal random-effects model. Results We included 41 studies, with data on 5,815 participants. A wide range of disease prevalence was observed. No study reported a pre-defined cut-off. Thirty of 41 studies provided sufficient data for inclusion in any of the meta-analyses. Summary AUC [95% CI] were: 0.75 [0.69–0.82] (M30) and 0.82 [0.69–0.91] (M65) for NASH; 0.73 [0.57–0.85] (M30) for fibrotic NASH; 0.68 (M30) for significant (F2-4) fibrosis; and 0.75 (M30) for advanced (F3-4) fibrosis. Thirteen studies used CK-18 as a component of a multimarker model. Conclusions For M30 we found lower diagnostic accuracy to detect NASH compared to previous meta-analyses, indicating a limited ability to act as a stand-alone test, with better performance for M65. Additional external validation studies are needed to obtain credible estimates of the diagnostic accuracy of multimarker models.
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Affiliation(s)
- Jenny Lee
- Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- * E-mail:
| | - Yasaman Vali
- Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jérôme Boursier
- Hepato-Gastroenterology Department, Angers University Hospital, Angers, France
- HIFIH Laboratory, UPRES EA3859, Angers University, Angers, France
| | - Kevin Duffin
- Lilly Research Laboratories, Eli Lilly and Company Ltd (LLY), Indianapolis, IN, United States of America
| | - Joanne Verheij
- Department of Pathology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - M. Julia Brosnan
- Internal Medicine Research Unit, Pfizer Inc, Cambridge, MA, United States of America
| | - Koos Zwinderman
- Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Quentin M. Anstee
- The Newcastle Liver Research Group, Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Patrick M. Bossuyt
- Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Mohammad Hadi Zafarmand
- Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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Mohammed MA, Omar NM, Mohammed SA, Amin AM, Gad DF. FICK-3 Score Combining Fibrosis-4, Insulin Resistance and Cytokeratin-18 in Predicting Non-alcoholic Steatohepatitis in NAFLD Egyptian Patients. Pak J Biol Sci 2020; 22:457-466. [PMID: 31930835 DOI: 10.3923/pjbs.2019.457.466] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND AND OBJECTIVE As liver biopsy had multiple procedure-related complications, the introduction of reliable noninvasive tests for accurate discrimination of NASH and liver fibrosis in patients with NAFLD are mandatory. The aim was to elucidate the diagnostic value of fibrosis-4 index (FIB-4), Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) and Cytokeratin-18 fragments (CK18-Fs) in the prediction of NASH and liver fibrosis. MATERIALS AND METHODS One hundred Egyptian patients with NAFLD selected from outpatient's clinics of Mansoura University Hospitals underwent histological examination through liver biopsy after approval and consent. The FIB-4, HOMA-IR, CK18-Fs (measured using a human ELISA Kit) and their combination in FICK-3 score were investigated for predicting NASH and liver fibrosis. Receiver operating characteristic (ROC) curves and multivariate logistic regression were analyzed. RESULTS In patients with NAFLD, the areas under the ROC were significantly high (AUC: 0.765, 0.700, 0.803, 0.835 for FIB-4, HOMA-IR, CK18-Fs, FICK-3 score, respectively, p = 0.05) displaying a highly statistically significant predictive ability for NASH. Significantly higher AUCs for these parameters were demonstrated predicting early-or advanced-stage liver fibrosis (AUC >0.7, p<0.01). Also, the combined FICK-3 score (the sum of FIB-4 >1.46, HOMA-IR >2.11 and CK18-Fs >307U L-1) had highly significant predictive values for NASH and liver fibrosis and had the best diagnostic accuracy at a cutoff value of 1(AUC >0.8, p<0.001). Contrasted with other diagnostic scores, FICK-3 had the best diagnostic accuracy for detection of fibrotic NASH (AUC = 0.954, p<0.001) and positively correlated with the histological features of NAFLD. CONCLUSION The new combination FICK-3 score was a reliable and significant predictor for NASH and liver fibrosis in NAFLD Egyptian patients.
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Determination of genetic changes of Rev-erb beta and Rev-erb alpha genes in Type 2 diabetes mellitus by next-generation sequencing. Gene 2020; 763:145058. [PMID: 32798635 DOI: 10.1016/j.gene.2020.145058] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/07/2020] [Accepted: 08/12/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND The nuclear receptors Rev-erb alpha and Rev-erb beta are transcription factors that regulate the function of genes in glucose and lipid metabolism, and they also form a link between circadian rhythm and metabolism. We evaluated the variations in Rev-erb alpha and Rev-erb beta genes together with biochemical parameters as risk factors in type 2 diabetic (T2DM) patients. METHODS Molecular analyses of Rev-erb alpha and Rev-erb beta genes were performed on genomic DNA by using next-generation sequencing in 42 T2DM patients (21 obese and 21 non-obese) and 66 healthy controls. RESULTS We found 26 rare mutations in the study groups, including 13 missense mutations, 9 silent mutations, 3 5'UTR variations, and a 3'UTR variation, of which 9 were novel variations (5 missense and 3 silent and 1 5'UTR). Six common variations were also found in the Rev-erb genes; Rev-erb beta Chr3:24003765 A > G, Rev-erb beta rs924403442 (Chr3:24006717) G > T, Rev-erb alpha Chr17:38253751 T > C, Rev-erb alpha rs72836608 C > A, Rev-erb alpha rs2314339 C > T and Rev-erb alpha rs2102928 C > T. Of these, Rev-erb beta Chr3:24003765 A > G was a novel missense mutation (p.Q197R), while others were identified as intronic variants. T2DM patients with Rev-erb beta rs924403442 T allele had lower body surface area (BSA) than noncarriers (GG genotype) (p = 0.039). Rev-erb alpha rs72836608 A allele and Rev-erb alpha rs2314339 CC genotype were associated with decreased serum HDL-cholesterol levels in T2DM patients (p = 0.025 and p = 0.027, respectively). In our study, different effects of Rev-erbs polymorphisms were found according to gender and presence of obesity. Rev-erb alpha rs72836608 (C > A) and rs2314339 (C > T) and Rev-erb alpha rs2102928 (C > T) were associated with low HDL-C levels in male T2DM patients. In female patients, Rev-erb alpha rs2102928 (C > T) was associated with high microalbuminuria and Rev-erb beta rs9244403442 G > T was associated with low HDL and high BSA values. In addition, Rev-erb alpha Chr17: 38,253,751 (T > C), rs72836608 (C > A), and rs2314339 (C > T) and Rev-erb beta Chr3:24003765 (A > G) were associated with increased serum GGT levels in obese T2DM patients. In non-obese patients, Rev-erbs SNPs had no effect on serum GGT levels. CONCLUSION Our findings indicate that variations in the Rev-erb alpha and Rev-erb beta genes can affect metabolic changes in T2DM and these effects may vary depending on gender and obesity.
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Paul J. Recent advances in non-invasive diagnosis and medical management of non-alcoholic fatty liver disease in adult. EGYPTIAN LIVER JOURNAL 2020. [DOI: 10.1186/s43066-020-00043-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Abstract
Background
Number of non-alcoholic fatty liver disease (NAFLD) cases is increasing over time due to alteration of food habit, increase incidence of metabolic syndrome, and lack of exercise. Liver biopsy is the test for diagnosis and staging of NAFLD, but nowadays several biochemical markers, scoring systems, and imaging studies are available to diagnose and stage NAFLD which is linked to end-stage liver disease, hepatocellular cancer, and elevated cardiovascular- and cancer-related morbidity and mortality. Therefore urgent diagnosis and management are required to avoid complications related to NAFLD. This review summarizes recent advances in diagnosis and medical management of non-alcoholic fatty liver disease.
Main text
Recently published studies from PubMed, Red Cross, Copernicus, and also various previous studies were reviewed. We have discussed various non-invasive methods for detection of non-alcoholic fatty liver disease, non-alcoholic steatohepatitis (NASH), and hepatic fibrosis. Non pharmacological therapies for NAFLD, indications, and approved medications for NAFLD and other commonly used non-approved medications have been discussed in this review article.
Conclusions
Multiple non-invasive tests are available for diagnosis of NAFLD, and its different stages however gold standard test is liver biopsy. NALFD without NASH and significant fibrosis is treated by lifestyle modifications which include moderate to vigorous exercise and diet modification. To improve hepatic steatosis, minimum of 3–5% of body weight loss is necessary, but > 7–10% weight reductions is required for histological improvement in NASH and fibrosis. Pharmacotherapy is indicated when patient is having NASH with significant fibrosis.
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Henry ZH, Argo CK. How to Identify the Patient with Nonalcoholic Steatohepatitis Who Will Progress to Cirrhosis. Gastroenterol Clin North Am 2020; 49:45-62. [PMID: 32033764 DOI: 10.1016/j.gtc.2019.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) figures prominently into the clinical hepatology landscape. NAFLD represents a disease spectrum comprising simple steatosis, steatosis with elevated liver enzymes, and non-alcoholic steatohepatitis (NASH), the entity with clear potential for fibrosis progression. Risk factors associated with fibrosis progression in NASH include histologic findings of lobular inflammation and any fibrosis as well as clinical comorbidities that include type 2 diabetes, obesity, and metabolic syndrome. Liver biopsy remains the gold standard in evaluating NASH; however, noninvasive methods are accumulating evidence for a growing role in identifying patients at increased risk to develop NASH, fibrosis, and potentially cirrhosis.
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Affiliation(s)
- Zachary H Henry
- Division of Gastroenterology and Hepatology, University of Virginia Health System, Charlottesville, VA, USA
| | - Curtis K Argo
- Division of Gastroenterology and Hepatology, University of Virginia Health System, Charlottesville, VA, USA.
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Zheng KI, Liu WY, Pan XY, Ma HL, Zhu PW, Wu XX, Targher G, Byrne C, Wang XD, Chen YP, Lu F, Zheng MH. Combined and sequential non-invasive approach to diagnosing non-alcoholic steatohepatitis in patients with non-alcoholic fatty liver disease and persistently normal alanine aminotransferase levels. BMJ Open Diabetes Res Care 2020; 8:8/1/e001174. [PMID: 32139603 PMCID: PMC7059499 DOI: 10.1136/bmjdrc-2020-001174] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 02/04/2020] [Accepted: 02/09/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND AIM Imaging-confirmed non-alcoholic fatty liver disease (NAFLD) with normal alanine aminotransferase (nALT) levels is infrequently the subject for further evaluation. Early diagnosis of non-alcoholic steatohepatitis (NASH) is needed to prevent disease progression. Thus, we tested the clinical utility of serum Golgi protein 73 (GP73) levels and developed a new non-invasive score to diagnose NASH in patients with biopsy-confirmed NAFLD and persistent nALT levels. METHODS Serum GP73 and cytokeratin-18 M30 fragments (CK18-M30) levels were measured in 345 patients with biopsy-proven NAFLD. We developed a new score, named G-NASH model (by incorporating serum GP73), and combined it with serum CK18-M30 measurement in a sequential non-invasive approach to accurately identify NASH among patients with NAFLD and persistent nALT levels. RESULTS 105 (30.4%) patients had persistent nALT, 53 of whom had histologically confirmed NASH. Both serum GP73 and CK18-M30 levels alone had poor diagnostic accuracy in identifying NASH (55.2% and 51.6%, respectively) in these patients. Conversely, G-NASH model performed better than other established non-invasive scoring systems, and by using our proposed sequential non-invasive approach 82.9% of patients with NASH were correctly identified. CONCLUSIONS NASH is highly prevalent in patients with NAFLD with persistent nALT levels. The G-NASH model accurately identifies NASH in this patient group.
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Affiliation(s)
- Kenneth I Zheng
- NAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wen-Yue Liu
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiao-Yan Pan
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hong-Lei Ma
- NAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Pei-Wu Zhu
- Department of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xi-Xi Wu
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Giovanni Targher
- Division of Endocrinology and Metabolism, University of Verona, Ospedale Civile Maggiore, Verona, Italy
| | - Christopher Byrne
- Southampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton, Southampton General Hospital, Southampton, UK
| | - Xiao-Dong Wang
- NAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Institute of Hepatology, Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Yong-Ping Chen
- NAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Institute of Hepatology, Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Fengmin Lu
- Department of Microbiology and Infectious Disease Center, School of Basic Medicine, Peking University Health Science Center, Beijing, China
| | - Ming-Hua Zheng
- NAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Institute of Hepatology, Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
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Li M, Cao D, Liu Y, Jin L, Zeng N, Wang L, Zhao K, Lv H, Zhang M, Zhang P, Yang Z, Zhang Z. Alterations in the Liver Fat Fraction Features Examined by Magnetic Resonance Imaging Following Bariatric Surgery: a Self-Controlled Observational Study. Obes Surg 2020; 30:1917-1928. [DOI: 10.1007/s11695-020-04415-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Singh SP, Barik RK. NonInvasive Biomarkers in Nonalcoholic Fatty Liver Disease: Are We There Yet? J Clin Exp Hepatol 2020; 10:88-98. [PMID: 32025168 PMCID: PMC6995889 DOI: 10.1016/j.jceh.2019.09.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 09/15/2019] [Indexed: 12/12/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. NAFLD encompasses a spectrum of disease ranging from simple steatosis (NAFL) to nonalcoholic steatohepatitis (NASH), cirrhosis and hepatocellular carcinoma. However, despite the growing recognition of this important disease burden, there are significant challenges to accurately and noninvasively diagnose the various forms of NAFLD, especially to differentiate benign steatosis from the progressive NASH. This is of utmost importance because although liver biopsy is considered the current imperfect 'gold' standard for diagnosing NASH and staging fibrosis, it is an invasive procedure with significant limitations. Although, a number of noninvasive markers have been or are currently undergoing investigation, until date, no highly sensitive and specific tests are available to differentiate NASH from simple steatosis. At the moment, further investigations are needed before prediction models or blood-based biomarkers become available and acceptable for routine clinical care. There is a great need for developing inexpensive, easily accessible, highly sensitive and specific biomarkers that permit not only the identification of patients at high risk of adverse outcomes, but also the monitoring of disease progression and response after therapeutic interventions.
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Affiliation(s)
- Shivaram P. Singh
- Address for correspondence: Shivaram Prasad Singh, Professor, Dept. of Gastroenterology, S.C.B. Medical College, Cuttack, Odisha, 753007, India.
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Luci C, Bourinet M, Leclère PS, Anty R, Gual P. Chronic Inflammation in Non-Alcoholic Steatohepatitis: Molecular Mechanisms and Therapeutic Strategies. Front Endocrinol (Lausanne) 2020; 11:597648. [PMID: 33384662 PMCID: PMC7771356 DOI: 10.3389/fendo.2020.597648] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/03/2020] [Indexed: 12/11/2022] Open
Abstract
Non-Alcoholic Steatohepatitis (NASH) is the progressive form of Non-Alcoholic Fatty Liver Disease (NAFLD), the main cause of chronic liver complications. The development of NASH is the consequence of aberrant activation of hepatic conventional immune, parenchymal, and endothelial cells in response to inflammatory mediators from the liver, adipose tissue, and gut. Hepatocytes, Kupffer cells and liver sinusoidal endothelial cells contribute to the significant accumulation of bone-marrow derived-macrophages and neutrophils in the liver, a hallmark of NASH. The aberrant activation of these immune cells elicits harmful inflammation and liver injury, leading to NASH progression. In this review, we highlight the processes triggering the recruitment and/or activation of hepatic innate immune cells, with a focus on macrophages, neutrophils, and innate lymphoid cells as well as the contribution of hepatocytes and endothelial cells in driving liver inflammation/fibrosis. On-going studies and preliminary results from global and specific therapeutic strategies to manage this NASH-related inflammation will also be discussed.
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Affiliation(s)
- Carmelo Luci
- Université Côte d’Azur, INSERM, C3M, Nice, France
| | | | | | - Rodolphe Anty
- Université Côte d’Azur, CHU, INSERM, C3M, Nice, France
| | - Philippe Gual
- Université Côte d’Azur, INSERM, C3M, Nice, France
- *Correspondence: Philippe Gual,
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Anty R, Morvan M, Le Corvec M, Canivet CM, Patouraux S, Gugenheim J, Bonnafous S, Bailly-Maitre B, Sire O, Tariel H, Bernard J, Piche T, Loréal O, Aron-Wisnewsky J, Clément K, Tran A, Iannelli A, Gual P. The mid-infrared spectroscopy: A novel non-invasive diagnostic tool for NASH diagnosis in severe obesity. JHEP Rep 2019; 1:361-368. [PMID: 32039387 PMCID: PMC7005664 DOI: 10.1016/j.jhepr.2019.09.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 09/23/2019] [Accepted: 09/28/2019] [Indexed: 02/07/2023] Open
Abstract
There is an urgent medical need to develop non-invasive tests for non-alcoholic steatohepatitis (NASH). This study evaluates the diagnostic performance of an innovative model based on mid-infrared (MIR) spectroscopy for the diagnosis of NASH. Methods Severely obese patients who underwent a bariatric procedure at the University Hospital of Nice, France (n = 395) were prospectively recruited. The clinico-biological characteristics were measured prior to surgery. Liver biopsies were collected during the surgical procedure and assessed by a pathologist. A training group (316 patients, NASH: 16.8%) and a validation group (79 patients, NASH: 16.5%) were randomly defined. MIR spectra were acquired by fiber evanescent wave spectroscopy, using chalcogenide glass fiber optic sensors and a spectrometer. This absorption spectroscopic technique delivers a spectrum that identifies the molecular composition of a sample, defining a patient's metabolic fingerprint. Results The areas under the receiver operating curve (AUROC) for the diagnosis of NASH were 0.82 and 0.77 in the training and validation groups, respectively. The best threshold was 0.15, which was associated with a sensitivity of 0.75 and 0.69, and a specificity of 0.72 and 0.76. Negative predictive values of 0.94 and 0.93 and positive predictive values of 0.35 and 0.36, as well as correctly classified patient rates of 72% and 75% were obtained in the training and validation groups, respectively. A composite model using aspartate aminotransferase level, triglyceride level and waist circumference alongside the MIR spectra led to an increase in AUROC (0.88 and 0.84 for the training and validations groups, respectively). Conclusions MIR spectroscopy provides good sensitivity and negative predictive values for NASH screening in patients with severe obesity. Lay summary There is an urgent need for tools to non-invasively diagnose and monitor non-alcoholic steatohepatitis (NASH). This study evaluates the performance of a new tool for fast NASH diagnosis based on mid-infrared (MIR) spectroscopy. Using serum samples from severely obese patients who underwent a bariatric procedure, which enabled a concomitant liver biopsy to be performed, the MIR spectroscopy model performed well in screening patients for NASH compared to a traditional, histological diagnosis. There is no validated non-invasive diagnostic tool for NASH in routine care. NASH follow-up requires a non-invasive diagnostic method. Using a simple drop of serum, the mid-infrared spectrum captures a patient’s metabolic fingerprint. A model based on mid-infrared spectroscopy provides efficient NASH screening for patients with severe obesity.
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Affiliation(s)
- Rodolphe Anty
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
| | - Marie Morvan
- University of Rennes, CNRS, IRMAR - UMR, 6625, Rennes, France
| | | | | | | | | | | | | | | | | | | | - Thierry Piche
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
| | - Olivier Loréal
- INSERM, Univ Rennes, INRA, Nutrition Metabolisms and Cancer (NuMeCan), UMR-1241, Rennes, France
| | - Judith Aron-Wisnewsky
- Sorbonne Université/Inserm Unité UMRS NutriOmics, Assistance publique hôpitaux de Paris, service de Nutrition, Paris, France
| | - Karine Clément
- Sorbonne Université/Inserm Unité UMRS NutriOmics, Assistance publique hôpitaux de Paris, service de Nutrition, Paris, France
| | - Albert Tran
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
| | | | - Philippe Gual
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
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Sans A, Bonnafous S, Rousseau D, Patouraux S, Canivet CM, Leclere PS, Tran-Van-Nhieu J, Luci C, Bailly-Maitre B, Xu X, Lee AH, Minehira K, Anty R, Tran A, Iannelli A, Gual P. The Differential Expression of Cide Family Members is Associated with Nafld Progression from Steatosis to Steatohepatitis. Sci Rep 2019; 9:7501. [PMID: 31097771 PMCID: PMC6522528 DOI: 10.1038/s41598-019-43928-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 05/03/2019] [Indexed: 01/22/2023] Open
Abstract
Improved understanding of the molecular mechanisms responsible for the progression from a “non-pathogenic” steatotic state to Non-Alcoholic Steatohepatitis is an important clinical requirement. The cell death-inducing DFF45 like effector (CIDE) family members (A, B and FSP27) regulate hepatic lipid homeostasis by controlling lipid droplet growth and/or VLDL production. However, CIDE proteins, particularly FSP27, have a dual role in that they also regulate cell death. We here report that the hepatic expression of CIDEA and FSP27 (α/β) was similarly upregulated in a dietary mouse model of obesity-mediated hepatic steatosis. In contrast, CIDEA expression decreased, but FSP27-β expression strongly increased in a dietary mouse model of steatohepatitis. The inverse expression pattern of CIDEA and FSP27β was amplified with the increasing severity of the liver inflammation and injury. In obese patients, the hepatic CIDEC2 (human homologue of mouse FSP27β) expression strongly correlated with the NAFLD activity score and liver injury. The hepatic expression of CIDEA tended to increase with obesity, but decreased with NAFLD severity. In hepatic cell lines, the downregulation of FSP27β resulted in the fractionation of lipid droplets, whereas its overexpression decreased the expression of the anti-apoptotic BCL2 marker. This, in turn, sensitized cells to apoptosis in response to TNF α and saturated fatty acid. Considered together, our animal, human and in vitro studies indicate that differential expression of FSP27β/CIDEC2 and CIDEA is related to NAFLD progression and liver injury.
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Affiliation(s)
- Arnaud Sans
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.,Université Côte d'Azur, CHU, INSERM, U1065, C3M, Nice, France
| | - Stéphanie Bonnafous
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.,Université Côte d'Azur, CHU, INSERM, U1065, C3M, Nice, France
| | | | - Stéphanie Patouraux
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.,Université Côte d'Azur, CHU, INSERM, U1065, C3M, Nice, France
| | - Clémence M Canivet
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.,Université Côte d'Azur, CHU, INSERM, U1065, C3M, Nice, France
| | | | - Jeanne Tran-Van-Nhieu
- HU Henri Mondor, Department of Pathology, AP-HP - Université Paris Est Créteil, Créteil, France
| | - Carmelo Luci
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France
| | | | - Xu Xu
- Weill Cornell Medicine, Department of Medicine, Division of Gastroenterology and Hepatology, New York, USA
| | - Ann-Hwee Lee
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, USA
| | - Kaori Minehira
- University of Lausanne, Department of Physiology, Lausanne, Switzerland
| | - Rodolphe Anty
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.,Université Côte d'Azur, CHU, INSERM, U1065, C3M, Nice, France
| | - Albert Tran
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.,Université Côte d'Azur, CHU, INSERM, U1065, C3M, Nice, France
| | - Antonio Iannelli
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.,Université Côte d'Azur, CHU, INSERM, U1065, C3M, Nice, France
| | - Philippe Gual
- Université Côte d'Azur, INSERM, U1065, C3M, Nice, France.
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Castera L, Friedrich-Rust M, Loomba R. Noninvasive Assessment of Liver Disease in Patients With Nonalcoholic Fatty Liver Disease. Gastroenterology 2019; 156:1264-1281.e4. [PMID: 30660725 PMCID: PMC7505052 DOI: 10.1053/j.gastro.2018.12.036] [Citation(s) in RCA: 852] [Impact Index Per Article: 170.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 12/02/2018] [Accepted: 12/24/2018] [Indexed: 02/07/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is estimated to afflict approximately 1 billion individuals worldwide. In a subset of NAFLD patients, who have the progressive form of NAFLD termed nonalcoholic steatohepatitis (NASH), it can progress to advanced fibrosis, cirrhosis, hepatocellular carcinoma, and liver-related morbidity and mortality. NASH is typically characterized by a specific pattern on liver histology, including steatosis, lobular inflammation, and ballooning with or without peri-sinusoidal fibrosis. Thus, key issues in NAFLD patients are the differentiation of NASH from simple steatosis and identification of advanced hepatic fibrosis. Until now, liver biopsy has been the gold standard for identifying these 2 critical end points, but has well-known limitations, including invasiveness; rare but potentially life-threatening complications; poor acceptability; sampling variability; and cost. Furthermore, due to the epidemic proportion of individuals with NAFLD worldwide, liver biopsy evaluation is impractical, and noninvasive assessment for the diagnosis of NASH and fibrosis is needed. Although much of the work remains to be done in establishing cost-effective strategies for screening for NASH, advanced fibrosis, and cirrhosis, in this review, we summarize the current state of the noninvasive assessment of liver disease in NAFLD, and we provide an expert synthesis of how these noninvasive tools could be utilized in clinical practice. Finally, we also list the key areas of research priorities in this area to move forward clinical practice.
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Affiliation(s)
- Laurent Castera
- Department of Hepatology, Hôpital Beaujon, Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche 1149, University of Paris-VII, Clichy, France.
| | - Mireen Friedrich-Rust
- Department of Internal Medicine 1, Division of Gastroenterology, Hepatology, Goethe University Hospital, Frankfurt, Germany
| | - Rohit Loomba
- Nonalcoholic Fatty Liver Disease Research Center, Division of Gastroenterology, Department of Medicine, University of California at San Diego, La Jolla, California
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Zhou JH, Cai JJ, She ZG, Li HL. Noninvasive evaluation of nonalcoholic fatty liver disease: Current evidence and practice. World J Gastroenterol 2019; 25:1307-1326. [PMID: 30918425 PMCID: PMC6429343 DOI: 10.3748/wjg.v25.i11.1307] [Citation(s) in RCA: 133] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 02/20/2019] [Accepted: 02/23/2019] [Indexed: 02/06/2023] Open
Abstract
With the increasing number of individuals with diabetes and obesity, nonalcoholic fatty liver disease (NAFLD) is becoming increasingly prevalent, affecting one-quarter of adults worldwide. The spectrum of NAFLD ranges from simple steatosis or nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH). NAFLD, especially NASH, may progress to fibrosis, leading to cirrhosis and hepatocellular carcinoma. NAFLD can impose a severe economic burden, and patients with NAFLD-related terminal or deteriorative liver diseases have become one of the main groups receiving liver transplantation. The increasing prevalence of NAFLD and the severe outcomes of NASH make it necessary to use effective methods to identify NAFLD. Although recognized as the gold standard, biopsy is limited by its sampling bias, poor acceptability, and severe complications, such as mortality, bleeding, and pain. Therefore, noninvasive methods are urgently needed to avoid biopsy for diagnosing NAFLD. This review discusses the current noninvasive methods for assessing NAFLD, including steatosis, NASH, and NAFLD-related fibrosis, and explores the advantages and disadvantages of measurement tools. In addition, we analyze potential noninvasive biomarkers for tracking disease processes and monitoring treatment effects, and explore effective algorithms consisting of imaging and nonimaging biomarkers for diagnosing advanced fibrosis and reducing unnecessary biopsies in clinical practice.
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Affiliation(s)
- Jiang-Hua Zhou
- Department of Cardiology, Renmin Hospital of Wuhan University, Institute of Model Animal of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Jing-Jing Cai
- Department of Cardiology, The 3rd Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, China
| | - Zhi-Gang She
- Department of Cardiology, Renmin Hospital of Wuhan University, Institute of Model Animal of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Hong-Liang Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Institute of Model Animal of Wuhan University, Wuhan 430071, Hubei Province, China
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Pan Q, Fan JG. Noninvasive diagnosis of nonalcoholic steatohepatitis: Emerging approaches. Hepatobiliary Pancreat Dis Int 2019; 18:1-3. [PMID: 30611667 DOI: 10.1016/j.hbpd.2018.12.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 12/20/2018] [Indexed: 02/05/2023]
Affiliation(s)
- Qin Pan
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Jian-Gao Fan
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China; Department of Pediatric Gastroenterology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200092, China; Shanghai Key Laboratory of Children's Digestion and Nutrition, Shanghai 200092, China.
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Danin PE, Anty R, Patouraux S, Raucoules-Aimé M, Gugenheim J, Tran A, Gual P, Iannelli A. Non-invasive Evaluation of NAFLD with Indocyanine Green Clearance Test: a Preliminary Study in Morbidly Obese Patients Undergoing Bariatric Surgery. Obes Surg 2018; 28:735-742. [PMID: 28875438 DOI: 10.1007/s11695-017-2914-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Overweight and obesity dramatically increased in the last years. Hepatic complication of obesity, integrated in the term of non-alcoholic fatty liver disease (NAFLD), is a spectrum of abnormality ranging from steatosis to non-alcoholic steatohepatitis (NASH), potentially leading to cirrhosis. Liver biopsy remains the gold standard to evaluate the stage of NAFLD; however, the procedure is invasive. The indocyanine green (ICG) clearance test is performed since years to assess hepatic function before partial hepatectomy, or after liver transplantation. This study was designed to detect liver complications with the ICG clearance test in a population of obese patients scheduled for bariatric surgery. METHODS In a prospective cohort study, morbidly obese individuals receiving bariatric surgery with scheduled hepatic biopsies were investigated. Liver function was determined by the ICG test preoperatively, and blood samples were collected. Liver biopsy specimens were obtained for each patient and classified according to the NAFLD activity score (NAS) by a single pathologist that was blinded to the results of the ICG test. RESULTS Twenty-six patients were included (7 male and 19 female). The mean age of participants was 45.8 years; the mean body mass index was 41.4 kg/m2. According to the NAS, 6 (23.1%) patients revealed manifest NASH, and 5 patients were considered borderline (19.2%). A closed correlation was observed between the ICG clearance test and hepatic steatosis (r = 0.43, p = 0.03), NAS (r = 0.44, p = 0.025), and fibrosis (r = 0.49, p = 0.01). CONCLUSIONS In obese patients, non-invasive evaluation of liver function with the indocyanine green clearance test correlated with histological features of NAFLD. This may detect non-invasively hepatopathy in obese population and could motive biopsy.
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Affiliation(s)
- Pierre Eric Danin
- Anesthesia and Intensive care, L'Archet 2 Hospital, University Hospital of Nice, Archet 2 151 Route Saint Antoine de Ginestière, BP 3079, 062014, Nice, Cedex 3, France.,INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France
| | - Rodolphe Anty
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France.,Digestive Unit, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière, BP 3079, 06204, Nice, Cedex 3, France
| | - Stephanie Patouraux
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Biological Center, Pasteur Hospital, University Hospital of Nice, Nice, France.,Biological Center, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière BP 3079, Nice, 06204, Cedex 3, France
| | - Marc Raucoules-Aimé
- Anesthesia and Intensive care, L'Archet 2 Hospital, University Hospital of Nice, Archet 2 151 Route Saint Antoine de Ginestière, BP 3079, 062014, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France
| | - Jean Gugenheim
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France.,Department of Digestive Surgery, Hôpital Archet 2, 151 Route Saint Antoine de Ginestière, BP3079, 06204, Nice, Cedex 3, France
| | - Albert Tran
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.,Université Côte d'Azur, Nice, France.,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France.,Digestive Unit, Archet 2 Hospital, 151 Route Saint Antoine de Ginestière, BP 3079, 06204, Nice, Cedex 3, France
| | - Philippe Gual
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France. .,Université Côte d'Azur, Nice, France. .,Inserm U1065, Bâtiment Universitaire ARCHIMED, Equipe 8 "Complications hépatiques de l'obésité", 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France.
| | - Antonio Iannelli
- INSERM, U1065, C3M, Team 8 « Hepatic complications in obesity », 151 route Saint Antoine de Ginestière, BP 2 3194, 06204, Nice, Cedex 3, France. .,Université Côte d'Azur, Nice, France. .,CHU of Nice, Digestive Center, L'Archet 2 Hospital, University Hospital of Nice, Nice, France. .,Department of Digestive Surgery, Hôpital Archet 2, 151 Route Saint Antoine de Ginestière, BP3079, 06204, Nice, Cedex 3, France. .,Centre Hospitalier Universitaire de Nice, Service de Chirurgie Digestive et Transplantation Hépatique, Hôpital de l'Archet, Pôle Digestif, 151 route Saint Antoine de Ginestière, 06200, Nice, Cedex, France.
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Abstract
Non-alcoholic fatty liver disease (NAFLD) includes a range of disorders characterized by excess accumulation of triglycerides within the liver. While simple steatosis may be clinically stable, non-alcoholic steatohepatitis (NASH) can be progressive. Inflammation is believed to be the driving force behind NASH and the progression to fibrosis and subsequent cirrhosis. NAFLD is globally considered a significant health concern not only because of its incidence but also because of its economic impact. The fact that NAFLD is associated with cardiovascular disease is widely recognized, as well as the fact that NAFLD patient mortality rises when such an association is present. In particular, NAFLD is associated with coronary and carotid atherosclerosis, endothelial dysfunction and arterial rigidity, ventricles function, valves morphology, congestive heart failure, and arrhythmias (especially atrial fibrillation). Additionally, the hypercoagulability status in NAFLD patient may be suggested by the presence of inflammatory and coagulation markers. In order to differentiate between milder forms and the more severe ones that necessitate aggressive therapy, individualized risk scores may be used. This narrative review will analyze and interpret the papers published in PubMed in the last 16 years, in an attempt to expand our understanding of the NASH as a possible cardiovascular risk factor.
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Bratoeva K, Nikolova S, Merdzhanova A, Stoyanov GS, Dimitrova E, Kashlov J, Conev N, Radanova M. Association Between Serum CK-18 Levels and the Degree of Liver Damage in Fructose-Induced Metabolic Syndrome. Metab Syndr Relat Disord 2018; 16:350-357. [PMID: 29989845 DOI: 10.1089/met.2017.0162] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The pathogenesis of nonalcoholic fatty liver disease as a component of metabolic syndrome (MetS) involves the activation of apoptosis in steatotic hepatocytes. Caspase-generated fragments such as cytokeratin-18 (CK-18) in patients with various hepatic impairments are investigated as markers for diagnosis and assessment of disease severity. The goal of the study was to capture early biomarkers of apoptosis and elucidate their role in assessing the presence and extent of hepatic damage in a MetS model. MATERIALS AND METHODS We used male Wistar rats, divided into two groups (n = 7): control and high-fructose drinking (HFD) (35% fructose corn syrup for 16 weeks). Metabolic disorders and liver damage were studied by histochemistry (hematoxylin and eosin), immunohistochemical, immunological, and biochemical testing. RESULTS Our results showed significant increase in liver and serum levels of CK-18 and pro/antiapoptotic Bax/Bcl2 ratio, and decreased levels of HMGB1 (marker of necrosis) in the HFD group when compared with the control. All HFD rats developed obesity, hyperglycemia, hepatomegaly, microvesicular steatosis, an imbalance in hepatic antioxidative defense by measuring malondialdehyde and sulfhydryl groups (SH) with no inflammation and fibrosis, elevated serum levels of triglycerides, tumor necrosis factor alpha (TNF-α), and C-reactive protein without changes in serum aminotransferase levels relative to the control group. As a result of the applied regression analysis, we have determined that the variables TNF-α (0.92) and SH (0.659) have a strong complex effect on hepatic CK-18 levels with predicted value of the model R = 0.9. CONCLUSION The elevated CK-18 serum levels in the HFD group and their association with the histological changes in the liver and biochemical indicators demonstrate the key role of apoptosis in the pathogenesis of HFD-induced liver damage and the reliability of CK-18 as a biomarker for noninvasive assessment of liver damages in MetS.
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Affiliation(s)
- Kameliya Bratoeva
- 1 Division of Pathophysiology, Department of Physiology and Pathophysiology, Faculty of Medicine, Medical University of Varna , Varna, Bulgaria
| | - Silviya Nikolova
- 2 Department of Social Medicine and Healthcare Organization, Faculty of Public Health, Medical University of Varna , Varna, Bulgaria
| | - Albena Merdzhanova
- 3 Department of Chemistry, Faculty of Pharmacy, Medical University of Varna , Varna, Bulgaria
| | - George St Stoyanov
- 4 Department of Anatomy and Cell Biology, Faculty of Medicine, Medical University of Varna , Varna, Bulgaria
| | - Eleonora Dimitrova
- 5 Department of Propedeutics of Internal Diseases, Faculty of Medicine, Medical University of Varna , Varna, Bulgaria
| | - Javor Kashlov
- 5 Department of Propedeutics of Internal Diseases, Faculty of Medicine, Medical University of Varna , Varna, Bulgaria
| | - Nikolay Conev
- 5 Department of Propedeutics of Internal Diseases, Faculty of Medicine, Medical University of Varna , Varna, Bulgaria
| | - Mariya Radanova
- 6 Department of Biochemistry, Molecular Medicine and Nutrigenomics, Faculty of Pharmacy, Medical University of Varna , Varna, Bulgaria
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Younossi ZM, Loomba R, Anstee QM, Rinella ME, Bugianesi E, Marchesini G, Neuschwander-Tetri BA, Serfaty L, Negro F, Caldwell SH, Ratziu V, Corey KE, Friedman SL, Abdelmalek MF, Harrison SA, Sanyal AJ, Lavine JE, Mathurin P, Charlton MR, Goodman ZD, Chalasani NP, Kowdley KV, George J, Lindor K. Diagnostic modalities for nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, and associated fibrosis. Hepatology 2018. [PMID: 29222917 DOI: 10.1002/hep.29721 10.1002/hep.29721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a spectrum comprised of isolated steatosis, nonalcoholic steatohepatitis (NASH), advanced fibrosis, and cirrhosis. The majority of NAFLD subjects do not have NASH and do not carry a significant risk for liver-related adverse outcomes (cirrhosis and mortality). Globally, the prevalence of NAFLD is approximately 25%. In Asia, a gradient of high to low prevalence rates is noted from urban to rural areas. Given the prevalence of NAFLD, the clinical and economic burden of NAFLD and NASH can be substantial. With increasing recognition of NASH as an important liver disease, the diagnosis of NASH still requires a liver biopsy that is suboptimal. Although liver biopsy is the most accurate modality to diagnose and stage the severity of NASH, this method suffers from being invasive, costly, associated with potential complications, and plagued with interobserver variability of individual pathological features. A number of noninvasive modalities to diagnose NASH and stage liver fibrosis are being developed. These modalities include predictive models (NAFLD fibrosis score) and serum biomarkers such as enhanced liver fibrosis (ELF). Other tests are based on radiological techniques, such as transient elastography (TE) or magnetic resonance elastography (MRE), which are used to estimate liver stiffness as a potential surrogate of hepatic fibrosis. Although a dynamic field of research, most of these diagnostic modalities have area under the curve ranging between 0.76 and 0.90%, with MRE having the best predictive performance. In summary, developing safe and easily accessible noninvasive modalities to accurately diagnose and monitor NASH and associated fibrosis is of utmost importance in clinical practice and clinical research. These tests are not only important to risk stratify subjects at the greatest risk for progressive liver disease, but also to serve as appropriate surrogate endpoints for therapeutic clinical trials of NASH. (Hepatology 2018;68:349-360).
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Affiliation(s)
- Zobair M Younossi
- Department of Medicine and Betty and Guy Beatty Center for Integrated Research, Claude Moore, Inova Health Systems, Falls Church, VA
| | - Rohit Loomba
- NAFLD Research Center, University of California at San Diego, La Jolla, CA
| | - Quentin M Anstee
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Mary E Rinella
- University of Torino, Department of Medical Sciences, Torino, Italy
| | | | - Giulio Marchesini
- Division of Gastroenterology and Hepatology, Saint Louis University, St. Louis, MO
| | | | | | - Francesco Negro
- Division of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA
| | - Stephen H Caldwell
- Institute of Cardiometabolim and Nutrition (ICAN) and Hospital Pitié Salpêtrière, de L'Hopital, Paris, France
| | - Vlad Ratziu
- Massachusetts General Hospital, Cambridge, MA
| | - Kathleen E Corey
- Icahn School of Medicine at Mount Sinai, Division of Liver Diseases, New York, NY
| | - Scott L Friedman
- Division of Gastroenterology and Hepatology, Duke University, Durham, NC
| | | | - Stephen A Harrison
- Division of Gastroenterology, Virginia Commonwealth University, Richmond, VA
| | - Arun J Sanyal
- Department of Pediatrics, Columbia College of Physicians and Surgeons, New York, NY
| | - Joel E Lavine
- Hôpital Claude Huriez Rue Michel Polonowski, Lille, France
| | | | - Michael R Charlton
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Zachary D Goodman
- Department of Medicine and Betty and Guy Beatty Center for Integrated Research, Claude Moore, Inova Health Systems, Falls Church, VA
| | - Naga P Chalasani
- Institute of Cellular Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | | | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, Australia
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Younossi ZM, Loomba R, Anstee QM, Rinella ME, Bugianesi E, Marchesini G, Neuschwander-Tetri BA, Serfaty L, Negro F, Caldwell SH, Ratziu V, Corey KE, Friedman SL, Abdelmalek MF, Harrison SA, Sanyal AJ, Lavine JE, Mathurin P, Charlton MR, Goodman ZD, Chalasani NP, Kowdley KV, George J, Lindor K. Diagnostic modalities for nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, and associated fibrosis. Hepatology 2018; 68:349-360. [PMID: 29222917 PMCID: PMC6511364 DOI: 10.1002/hep.29721] [Citation(s) in RCA: 269] [Impact Index Per Article: 44.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 11/16/2017] [Accepted: 12/06/2017] [Indexed: 12/11/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a spectrum comprised of isolated steatosis, nonalcoholic steatohepatitis (NASH), advanced fibrosis, and cirrhosis. The majority of NAFLD subjects do not have NASH and do not carry a significant risk for liver-related adverse outcomes (cirrhosis and mortality). Globally, the prevalence of NAFLD is approximately 25%. In Asia, a gradient of high to low prevalence rates is noted from urban to rural areas. Given the prevalence of NAFLD, the clinical and economic burden of NAFLD and NASH can be substantial. With increasing recognition of NASH as an important liver disease, the diagnosis of NASH still requires a liver biopsy that is suboptimal. Although liver biopsy is the most accurate modality to diagnose and stage the severity of NASH, this method suffers from being invasive, costly, associated with potential complications, and plagued with interobserver variability of individual pathological features. A number of noninvasive modalities to diagnose NASH and stage liver fibrosis are being developed. These modalities include predictive models (NAFLD fibrosis score) and serum biomarkers such as enhanced liver fibrosis (ELF). Other tests are based on radiological techniques, such as transient elastography (TE) or magnetic resonance elastography (MRE), which are used to estimate liver stiffness as a potential surrogate of hepatic fibrosis. Although a dynamic field of research, most of these diagnostic modalities have area under the curve ranging between 0.76 and 0.90%, with MRE having the best predictive performance. In summary, developing safe and easily accessible noninvasive modalities to accurately diagnose and monitor NASH and associated fibrosis is of utmost importance in clinical practice and clinical research. These tests are not only important to risk stratify subjects at the greatest risk for progressive liver disease, but also to serve as appropriate surrogate endpoints for therapeutic clinical trials of NASH. (Hepatology 2018;68:349-360).
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Affiliation(s)
- Zobair M. Younossi
- Department of Medicine and Betty and Guy Beatty Center for Integrated Research, Claude Moore, Inova Health Systems, Falls Church, VA
| | - Rohit Loomba
- NAFLD Research Center, University of California at San Diego, La Jolla, CA
| | | | - Mary E. Rinella
- University of Torino, Department of Medical Sciences, Torino, Italy
| | | | - Giulio Marchesini
- Division of Gastroenterology and Hepatology, Saint Louis University, St. Louis, MO
| | | | | | - Francesco Negro
- Division of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA
| | - Stephen H. Caldwell
- Institute of Cardiometabolim and Nutrition (ICAN) and Hospital Pitié Salpêtrière, de L’Hopital, Paris, France
| | - Vlad Ratziu
- Massachusetts General Hospital, Cambridge, MA
| | - Kathleen E. Corey
- Icahn School of Medicine at Mount Sinai, Division of Liver Diseases, New York, NY
| | - Scott L. Friedman
- Division of Gastroenterology and Hepatology, Duke University, Durham, NC
| | | | - Stephen A. Harrison
- Division of Gastroenterology, Virginia Commonwealth University, Richmond, VA
| | - Arun J. Sanyal
- Department of Pediatrics, Columbia College of Physicians and Surgeons, New York, NY
| | - Joel E. Lavine
- Hôpital Claude Huriez Rue Michel Polonowski, Lille, France
| | | | - Michael R. Charlton
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Zachary D. Goodman
- Department of Medicine and Betty and Guy Beatty Center for Integrated Research, Claude Moore, Inova Health Systems, Falls Church, VA
| | - Naga P. Chalasani
- Institute of Cellular Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | | | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, Australia
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Verhaegh P, Bavalia R, Winkens B, Masclee A, Jonkers D, Koek G. Noninvasive Tests Do Not Accurately Differentiate Nonalcoholic Steatohepatitis From Simple Steatosis: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol 2018; 16:837-861. [PMID: 28838784 DOI: 10.1016/j.cgh.2017.08.024] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 08/15/2017] [Accepted: 08/16/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Nonalcoholic fatty liver disease is a rapidly increasing health problem. Liver biopsy analysis is the most sensitive test to differentiate between nonalcoholic steatohepatitis (NASH) and simple steatosis (SS), but noninvasive methods are needed. We performed a systematic review and meta-analysis of noninvasive tests for differentiating NASH from SS, focusing on blood markers. METHODS We performed a systematic search of the PubMed, Medline and Embase (1990-2016) databases using defined keywords, limited to full-text papers in English and human adults, and identified 2608 articles. Two independent reviewers screened the articles and identified 122 eligible articles that used liver biopsy as reference standard. If at least 2 studies were available, pooled sensitivity (sensp) and specificity (specp) values were determined using the Meta-Analysis Package for R (metafor). RESULTS In the 122 studies analyzed, 219 different blood markers (107 single markers and 112 scoring systems) were identified to differentiate NASH from simple steatosis, and 22 other diagnostic tests were studied. Markers identified related to several pathophysiological mechanisms. The markers analyzed in the largest proportions of studies were alanine aminotransferase (sensp, 63.5% and specp, 74.4%) within routine biochemical tests, adiponectin (sensp, 72.0% and specp, 75.7%) within inflammatory markers, CK18-M30 (sensp, 68.4% and specp, 74.2%) within markers of cell death or proliferation and homeostatic model assessment of insulin resistance (sensp, 69.0% and specp, 72.7%) within the metabolic markers. Two scoring systems could also be pooled: the NASH test (differentiated NASH from borderline NASH plus simple steatosis with 22.9% sensp and 95.3% specp) and the GlycoNASH test (67.1% sensp and 63.8% specp). CONCLUSION In the meta-analysis, we found no test to differentiate NASH from SS with a high level of pooled sensitivity and specificity (≥80%). However, some blood markers, when included in scoring systems in single studies, identified patients with NASH with ≥80% sensitivity and specificity. Replication studies and more standardized study designs are urgently needed. At present, no marker or scoring system can be recommended for use in clinical practice to differentiate NASH from simple steatosis.
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Affiliation(s)
- Pauline Verhaegh
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University Medical Centre, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Roisin Bavalia
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University Medical Centre, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Bjorn Winkens
- Department of Methodology and Statistic, School for Public Health and Primary Care (CAPHRI), Maastricht University, Maastricht, the Netherlands
| | - Ad Masclee
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University Medical Centre, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Daisy Jonkers
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University Medical Centre, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Ger Koek
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, Maastricht University Medical Centre, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands.
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Boursier J, Anty R, Vonghia L, Moal V, Vanwolleghem T, Canivet CM, Michalak S, Bonnafous S, Michielsen P, Oberti F, Iannelli A, Van Gaal L, Patouraux S, Blanchet O, Verrijken A, Gual P, Rousselet MC, Driessen A, Hunault G, Bertrais S, Tran A, Calès P, Francque S. Screening for therapeutic trials and treatment indication in clinical practice: MACK-3, a new blood test for the diagnosis of fibrotic NASH. Aliment Pharmacol Ther 2018; 47:1387-1396. [PMID: 29577364 DOI: 10.1111/apt.14621] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 10/23/2017] [Accepted: 03/01/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND The composite histological endpoint comprising nonalcoholic steatohepatitis (NASH) and NAFLD activity score ≥4 and advanced fibrosis (F ≥ 2) ("fibrotic NASH") is becoming an important diagnostic target in NAFLD: it is currently used to select patients for inclusion in phase III therapeutic trials and will ultimately be used to indicate treatment in clinical practice once the new drugs are approved. AIM To develop a new blood test specifically dedicated for this new diagnostic target of interest. METHODS Eight Hundred and forty-six biopsy-proven NAFLD patients from three centres (Angers, Nice, Antwerp) were randomised into derivation and validation sets. RESULTS The blood fibrosis tests BARD, NFS and FIB4 had poor accuracy for fibrotic NASH with respective AUROC: 0.566 ± 0.023, 0.654 ± 0.023, 0.732 ± 0.021. In the derivation set, fibrotic NASH was independently predicted by AST, HOMA and CK18; all three were combined in the new blood test MACK-3 (hoMa, Ast, CK18) for which 90% sensitivity and 95% specificity cut-offs were calculated. In the validation set, MACK-3 had a significantly higher AUROC (0.847 ± 0.030, P ≤ 0.002) than blood fibrosis tests. Using liver biopsy in the grey zone between the two cut-offs (36.0% of the patients), MACK-3 provided excellent accuracy for the diagnosis of fibrotic NASH with 93.3% well-classified patients, sensitivity: 90.0%, specificity: 94.2%, positive predictive value: 81.8% and negative predictive value: 97.0%. CONCLUSION The new blood test MACK-3 accurately diagnoses fibrotic NASH. This new test will facilitate patient screening and inclusion in NAFLD therapeutic trials and will enable the identification of patients who will benefit from the treatments once approved.
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Tsai E, Lee TP. Diagnosis and Evaluation of Nonalcoholic Fatty Liver Disease/Nonalcoholic Steatohepatitis, Including Noninvasive Biomarkers and Transient Elastography. Clin Liver Dis 2018; 22:73-92. [PMID: 29128062 DOI: 10.1016/j.cld.2017.08.004] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The incidence and prevalence of nonalcoholic fatty liver disease (NAFLD) are increasing and identification of people at risk of disease progression is extremely important. The current gold standard for diagnosing NAFLD/nonalcoholic steatohepatitis (NASH) is by liver biopsy, but it has several limitations. Noninvasive tests via biomarkers and transient elastography to assess NAFLD/NASH are being used in clinical practice. The most validated diagnostic panels include the NAFLD fibrosis score, FIB-4 (Fibrosis-4), and FibroMeter. Transient elastography is very useful in evaluating advanced fibrosis and cirrhosis.
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Affiliation(s)
- Eugenia Tsai
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Tulane Medical Center, 1430 Tulane Avenue, SL 35, New Orleans, LA 70119, USA
| | - Tai-Ping Lee
- Department of Internal Medicine, Division of Hepatology, Sandra A. Bass Center of Liver Diseases Northwell Health, 400 Community Drive, Manhasset, NY 11030, USA.
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Tada T, Kumada T, Toyoda H, Saibara T, Ono M, Kage M. New scoring system combining the FIB-4 index and cytokeratin-18 fragments for predicting steatohepatitis and liver fibrosis in patients with nonalcoholic fatty liver disease. Biomarkers 2018; 23:328-334. [PMID: 29308929 DOI: 10.1080/1354750x.2018.1425915] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE To establish a new scoring system as a noninvasive tool for predicting steatohepatitis and liver fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). METHODS A total of 170 patients histologically diagnosed with nonalcoholic steatohepatitis (NASH) (n = 130) or nonalcoholic fatty liver (NAFL) (n = 40) were enrolled. We analyzed receiver operating characteristic (ROC) curves and performed multivariate analysis to predict steatohepatitis and liver fibrosis. RESULTS Multivariate analysis showed that cytokeratin-18 fragment (CK18-F) levels (≥278 U/L) (odds ratio [OR], 4.46; 95% confidence interval [CI], 1.42-14.00; p = 0.010) and the FIB-4 index (≥1.46) (OR, 4.54; 95% CI, 1.93-29.50; p = 0.004) were independently associated with prediction of NASH. We then established a new scoring system (named the FIC-22 score) for predicting NASH using CK18-F levels and FIB-4 index. The areas under the ROC curve (AUROCs) of the FIC-22 score and NAFIC score were 0.82 (95% CI, 0.75-0.89) and 0.71 (95% CI, 0.62-0.78) (p = 0.044). Additionally, the AUROC of the FIC-22 score for predicting the presence of fibrosis (F ≥ 1) was 0.78 (95% CI, 0.70-0.85). CONCLUSIONS In patients with NAFLD, the FIC-22 score had high predictive accuracy not only for steatohepatitis but also for the presence of liver fibrosis.
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Affiliation(s)
- Toshifumi Tada
- a Department of Gastroenterology and Hepatology , Ogaki Municipal Hospital , Ogaki, Gifu , Japan
| | - Takashi Kumada
- a Department of Gastroenterology and Hepatology , Ogaki Municipal Hospital , Ogaki, Gifu , Japan
| | - Hidenori Toyoda
- a Department of Gastroenterology and Hepatology , Ogaki Municipal Hospital , Ogaki, Gifu , Japan
| | - Toshiji Saibara
- b Department of Gastroenterology and Hepatology , Kochi Medical School , Kochi , Japan
| | - Masafumi Ono
- b Department of Gastroenterology and Hepatology , Kochi Medical School , Kochi , Japan
| | - Masayoshi Kage
- c Department of Diagnostic Pathology , Kurume University Hospital , Kurume, Fukuoka , Japan
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Younossi ZM, Loomba R, Anstee QM, Rinella ME, Bugianesi E, Marchesini G, Neuschwander-Tetri BA, Serfaty L, Negro F, Caldwell SH, Ratziu V, Corey KE, Friedman SL, Abdelmalek MF, Harrison SA, Sanyal AJ, Lavine JE, Mathurin P, Charlton MR, Goodman ZD, Chalasani NP, Kowdley KV, George J, Lindor K. Diagnostic modalities for nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, and associated fibrosis. HEPATOLOGY (BALTIMORE, MD.) 2017. [PMID: 29222917 DOI: 10.1002/hep.29721+10.1002/hep.29721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a spectrum comprised of isolated steatosis, nonalcoholic steatohepatitis (NASH), advanced fibrosis, and cirrhosis. The majority of NAFLD subjects do not have NASH and do not carry a significant risk for liver-related adverse outcomes (cirrhosis and mortality). Globally, the prevalence of NAFLD is approximately 25%. In Asia, a gradient of high to low prevalence rates is noted from urban to rural areas. Given the prevalence of NAFLD, the clinical and economic burden of NAFLD and NASH can be substantial. With increasing recognition of NASH as an important liver disease, the diagnosis of NASH still requires a liver biopsy that is suboptimal. Although liver biopsy is the most accurate modality to diagnose and stage the severity of NASH, this method suffers from being invasive, costly, associated with potential complications, and plagued with interobserver variability of individual pathological features. A number of noninvasive modalities to diagnose NASH and stage liver fibrosis are being developed. These modalities include predictive models (NAFLD fibrosis score) and serum biomarkers such as enhanced liver fibrosis (ELF). Other tests are based on radiological techniques, such as transient elastography (TE) or magnetic resonance elastography (MRE), which are used to estimate liver stiffness as a potential surrogate of hepatic fibrosis. Although a dynamic field of research, most of these diagnostic modalities have area under the curve ranging between 0.76 and 0.90%, with MRE having the best predictive performance. In summary, developing safe and easily accessible noninvasive modalities to accurately diagnose and monitor NASH and associated fibrosis is of utmost importance in clinical practice and clinical research. These tests are not only important to risk stratify subjects at the greatest risk for progressive liver disease, but also to serve as appropriate surrogate endpoints for therapeutic clinical trials of NASH. (Hepatology 2018;68:349-360).
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Affiliation(s)
- Zobair M Younossi
- Department of Medicine and Betty and Guy Beatty Center for Integrated Research, Claude Moore, Inova Health Systems, Falls Church, VA
| | - Rohit Loomba
- NAFLD Research Center, University of California at San Diego, La Jolla, CA
| | - Quentin M Anstee
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Mary E Rinella
- University of Torino, Department of Medical Sciences, Torino, Italy
| | | | - Giulio Marchesini
- Division of Gastroenterology and Hepatology, Saint Louis University, St. Louis, MO
| | | | | | - Francesco Negro
- Division of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA
| | - Stephen H Caldwell
- Institute of Cardiometabolim and Nutrition (ICAN) and Hospital Pitié Salpêtrière, de L'Hopital, Paris, France
| | - Vlad Ratziu
- Massachusetts General Hospital, Cambridge, MA
| | - Kathleen E Corey
- Icahn School of Medicine at Mount Sinai, Division of Liver Diseases, New York, NY
| | - Scott L Friedman
- Division of Gastroenterology and Hepatology, Duke University, Durham, NC
| | | | - Stephen A Harrison
- Division of Gastroenterology, Virginia Commonwealth University, Richmond, VA
| | - Arun J Sanyal
- Department of Pediatrics, Columbia College of Physicians and Surgeons, New York, NY
| | - Joel E Lavine
- Hôpital Claude Huriez Rue Michel Polonowski, Lille, France
| | | | - Michael R Charlton
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN
| | - Zachary D Goodman
- Department of Medicine and Betty and Guy Beatty Center for Integrated Research, Claude Moore, Inova Health Systems, Falls Church, VA
| | - Naga P Chalasani
- Institute of Cellular Medicine, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom
| | | | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, Australia
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Tasneem AA, Luck NH, Majid Z. Factors predicting non-alcoholic steatohepatitis (NASH) and advanced fibrosis in patients with non-alcoholic fatty liver disease (NAFLD). Trop Doct 2017; 48:107-112. [PMID: 29145775 DOI: 10.1177/0049475517742261] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Introduction To determine the factors predicting non-alcoholic steatohepatitis (NASH) and advanced fibrosis in patients with non-alcoholic fatty liver disease (NAFLD). Methodology All patients aged >18 years and having a fatty liver on abdominal ultrasound (US), presenting from January 2011 to January 2017, were included. A liver biopsy was performed on all the patients. Results Of 96 patients undergoing liver biopsy for non-alcoholic fatty liver disease (NAFLD), 76 (79.2%) were men. On liver US, diffuse fatty liver (DFL) was noted in 68 (70.8%) patients. Liver biopsy showed non-alcoholic steatohepatitis (NASH) in 78 (81.3%) patients. Factors associated with NASH were male gender, body mass index (BMI) > 27 kg/m2, DFL and raised alanine aminotransferase (ALT). A GULAB score (based on gender, US liver findings, lipid (fasting) levels, ALT level and BMI) of ≥5 predicted NASH with 82.05% sensitivity. Factors associated with advanced fibrosis in NAFLD were age >40 years, diabetes mellitus, AST/ALT ratio > 1 and raised GGT. Conclusion NASH is common in patients with male gender, high BMI, DFL on liver US, raised ALT and GULAB score ≥5.
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Affiliation(s)
- Abbas Ali Tasneem
- 1 Assistant Professor, Department of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | - Nasir Hassan Luck
- 2 Professor, Department of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
| | - Zain Majid
- 3 Post-graduate trainee, Department of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan
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Sharma DL, Lakhani HV, Klug RL, Snoad B, El-Hamdani R, Shapiro JI, Sodhi K. Investigating Molecular Connections of Non-alcoholic Fatty Liver Disease with Associated Pathological Conditions in West Virginia for Biomarker Analysis. ACTA ACUST UNITED AC 2017; 8. [PMID: 29177105 PMCID: PMC5701750 DOI: 10.4172/2155-9899.1000523] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a disease characterized by a steatosis of the liver that may progress to more serious pathological conditions including: nonalcoholic steatohepatitis (NASH), fibrosis, and cirrhosis. As the prevalence of NAFLD has increased worldwide in recent years, pathophysiology and risk factors associated with disease progression of NAFLD are at the focus of many studies. NAFLD is related to and shares common serum biomarkers with cardiovascular disease (CVD), type 2 diabetes mellitus (T2DM), obesity, and metabolic syndrome (MetS). West Virginia (WV) is a state with some of the highest rates of CVD, obesity and diabetes mellitus. As NAFLD is closely related to these diseases, it is of particular interest in WV. Currently there is no cost-effective, standardized method used clinically to detect NAFLD prior to the onset of reversible complications. At this time, the diagnosis of NAFLD is made with costly radiologic studies and invasive biopsy. These studies are only diagnostic once changes to hepatic tissue have occurred. The diagnosis of NAFLD by traditional methods may not allow for successful intervention and may not be readily available in areas with already sparse medical resources. In this literature review, we identify a list of biomarkers common among CVD, T2DM, obesity, MetS and NAFLD. From this research we propose the following biomarkers are good candidates for inclusion in a panel of biomarkers for the early detection of NAFLD: adiponectin, AST, ALT, apo-B, CK18, CPS1, CRP, FABP-1, ferritin, GGT, GRP78, HDL-C, IGF-1, IL-1β, 6, 8, 10, IRS-2PAI-1, leptin, lumican, MDA SREBP-1c and TNF-α. Creating and implementing a biomarker panel for the early detection and attenuation of NAFLD, prior to the onset of irreversible complication would provide maximum benefit and decrease the disease burden on the patients and healthcare system of WV.
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Affiliation(s)
- Dana L Sharma
- Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA
| | - Hari Vishal Lakhani
- Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA
| | - Rebecca L Klug
- Department of Surgery, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA
| | - Brian Snoad
- Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA
| | - Rawan El-Hamdani
- Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA
| | - Joseph I Shapiro
- Department of Internal Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA
| | - Komal Sodhi
- Department of Surgery, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA
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A stepwise algorithm using an at-a-glance first-line test for the non-invasive diagnosis of advanced liver fibrosis and cirrhosis. J Hepatol 2017; 66:1158-1165. [PMID: 28088581 DOI: 10.1016/j.jhep.2017.01.003] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Revised: 12/29/2016] [Accepted: 01/03/2017] [Indexed: 12/15/2022]
Abstract
BACKGROUND & AIMS Chronic liver diseases (CLD) are common, and are therefore mainly managed by non-hepatologists. These physicians lack access to the best non-invasive tests of liver fibrosis, and consequently cannot accurately determine the disease severity. Referral to a hepatologist is then needed. We aimed to implement an algorithm, comprising a new first-line test usable by all physicians, for the detection of advanced liver fibrosis in all CLD patients. METHODS Diagnostic study: 3754 CLD patients with liver biopsy were 2:1 randomized into derivation and validation sets. Prognostic study: longitudinal follow-up of 1275 CLD patients with baseline fibrosis tests. RESULTS Diagnostic study: the easy liver fibrosis test (eLIFT), an "at-a-glance" sum of points attributed to age, gender, gamma-glutamyl transferase, aspartate aminotransferase (AST), platelets and prothrombin time, was developed for the diagnosis of advanced fibrosis. In the validation set, eLIFT and fibrosis-4 (FIB4) had the same sensitivity (78.0% vs. 76.6%, p=0.470) but eLIFT gave fewer false positive results, especially in patients ≥60years old (53.8% vs. 82.0%, p<0.001), and was thus more suitable as screening test. FibroMeter with vibration controlled transient elastography (VCTE) was the most accurate among the eight fibrosis tests evaluated. The sensitivity of the eLIFT-FMVCTE algorithm (first-line eLIFT, second-line FibroMeterVCTE) was 76.1% for advanced fibrosis and 92.1% for cirrhosis. Prognostic study: patients diagnosed as having "no/mild fibrosis" by the algorithm had excellent liver-related prognosis with thus no need for referral to a hepatologist. CONCLUSION The eLIFT-FMVCTE algorithm extends the detection of advanced liver fibrosis to all CLD patients and reduces unnecessary referrals of patients without significant CLD to hepatologists. LAY SUMMARY Blood fibrosis tests and transient elastography accurately diagnose advanced liver fibrosis in the large population of patients having chronic liver disease, but these non-invasive tests are only currently available in specialized centers. We have developed an algorithm including the easy liver fibrosis test (eLIFT), a new simple and widely available blood test. It is used as a first-line procedure that selects at-risk patients who need further evaluation with the FibroMeterVCTE, an accurate fibrosis test combining blood markers and transient elastography result. This new algorithm, called the eLIFT-FMVCTE, accurately identifies the patients with advanced chronic liver disease who need referral to a specialist, and those with no or mild liver lesions who can remain under the care of their usual physician. CLINICAL TRIAL REGISTRATION No registration (analysis of pooled data from previously published diagnostic studies).
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Tai CM, Yu ML, Tu HP, Huang CK, Hwang JC, Chuang WL. Derivation and validation of a scoring system for predicting nonalcoholic steatohepatitis in Taiwanese patients with severe obesity. Surg Obes Relat Dis 2016; 13:686-692. [PMID: 28089433 DOI: 10.1016/j.soard.2016.11.028] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 11/12/2016] [Accepted: 11/29/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND Nonalcoholic steatohepatitis (NASH) is common in severely obese Asians and may progress to advanced liver disease. Although invasive, liver biopsy is the gold standard for NASH diagnosis. Scoring systems for predicting NASH in obese Asians are scarce. OBJECTIVES To develop and validate a scoring system to predict NASH in Taiwanese patients with severe obesity. SETTING University hospital, Taiwan. METHODS Preoperative clinical and laboratory data were obtained from 180 severely obese patients who underwent bariatric surgery. NASH was evaluated by liver histopathology. Patients were divided into 2 groups: a derivation cohort (n = 120) and a validation cohort (n = 60). RESULTS Of the 180 patients, 91 (50.6%) had NASH. Multivariate analysis identified body mass index (BMI), alanine aminotransferase (ALT), and triglyceride as independent predictors for NASH in the derivation group. A weighted sum of the score was: [(1 for presence of 45 kg/m2 ≧ BMI>40 kg/m2) or (2 for presence of BMI>45 kg/m2)+(2 for presence of ALT>40 IU/L)+(1 for presence of triglyceride>140 mg/L)]. The area under the receiver operating characteristic curve of this model was .80 and .82 in derivation and validation cohort, respectively. Patients were further divided into low- and high-risk for NASH by using a cutoff score of 3. Diagnostic accuracy was 74% and 80% in derivation and validation cohorts, respectively. CONCLUSION We developed and subsequently validated a simple clinical scoring system incorporating BMI, ALT, and triglyceride to predict NASH in Taiwanese patients with severe obesity.
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Affiliation(s)
- Chi-Ming Tai
- Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan; Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Lung Yu
- Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Faculty of Internal Medicine, School of Medicine, College of Medicine, and Lipid Science and Aging Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan; Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Hung-Pin Tu
- Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Kun Huang
- Body Science and Metabolic Disorders International (BMI) Medical Center, China Medical University Hospital, Taichung City, Taiwan
| | - Jau-Chung Hwang
- Department of Pathology, Lin Shin Hospital, Taichung, Taiwan
| | - Wan-Long Chuang
- Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Faculty of Internal Medicine, School of Medicine, College of Medicine, and Lipid Science and Aging Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.
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