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Zhang F, Han Y, Wu Y, Bao Z, Zheng G, Liu J, Li W. Association between triglyceride glucose-body mass index and the staging of non-alcoholic steatohepatitis and fibrosis in patients with non-alcoholic fatty liver disease. Ann Med 2024; 56:2409342. [PMID: 39348274 PMCID: PMC11443541 DOI: 10.1080/07853890.2024.2409342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/21/2024] [Accepted: 08/08/2024] [Indexed: 10/02/2024] Open
Abstract
OBJECTIVE The objective of this study was to thoroughly investigate the clinical value of triglyceride glucose-body mass index (TyG-BMI) in patients diagnosed with non-alcoholic fatty liver disease (NAFLD). Specifically, we aimed to determine its association with non-alcoholic steatohepatitis (NASH) and the progression of liver fibrosis. METHODS The study included 393 patients diagnosed with NAFLD after liver biopsy. The patients were divided into two distinct cohorts: a training cohort (N = 320) and a validation cohort (N = 73). The training cohort was further divided into four groups based on TyG-BMI quartiles. The clinical characteristics of the patients in each group were compared in detail, and the association between TyG-BMI and NASH, NAFLD Activity Score (NAS) ≥ 4, at-risk NASH, significant fibrosis, advanced fibrosis, and cirrhosis was analyzed using multiple models. Additionally, we generated receiver operating characteristic (ROC) curves to evaluate the predictive ability of TyG-BMI for NASH and fibrosis staging in patients with NAFLD. RESULTS Patients with higher TyG-BMI values had a significantly higher prevalence of NASH, NAS ≥ 4, at-risk NASH, significant fibrosis, advanced fibrosis, and cirrhosis (all p < .05). TyG-BMI was an independent predictor of these diseases in both unadjusted and adjusted models (all p < .05). ROC curve analysis further revealed the excellent performance of TyG-BMI in predicting NASH, NAS ≥ 4, at-risk NASH, significant fibrosis, advanced fibrosis, and cirrhosis. The validation cohort yielded analogous results. Furthermore, we constructed three multivariate models of TyG-BMI in conjunction with elastography metrics, which demonstrated elevated diagnostic AUC values of 0.782, 0.792, 0.794, 0.785, 0.834, and 0.845, respectively. CONCLUSION This study confirms a significant association between insulin resistance and NAFLD, including at-risk NASH and fibrosis staging, as assessed using the TyG-BMI index. TyG-BMI and its associated multivariate models can be valuable noninvasive indicators for NAFLD diagnosis, risk stratification, and disease course monitoring.
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Affiliation(s)
- Fan Zhang
- Department of Endocrinology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
- Department of Clinical Nutrition, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Yan Han
- Department of Endocrinology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
- Department of Clinical Nutrition, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Yunfei Wu
- Department of Pathology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Zuowei Bao
- Department of Ultrasonography, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Guojun Zheng
- Clinical Laboratory, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Jianhong Liu
- Department of Pathology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Wenjian Li
- Department of Urology, Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
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Abdel-Samiee M, Ibrahim ES, Kohla M, Abdelsameea E, Salama M. Regression of hepatic fibrosis after pharmacological therapy for nonalcoholic steatohepatitis. World J Gastrointest Pharmacol Ther 2024; 15:97381. [DOI: 10.4292/wjgpt.v15.i6.97381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 08/28/2024] [Accepted: 09/23/2024] [Indexed: 10/25/2024] Open
Abstract
The global incidence of nonalcoholic fatty liver disease (NAFLD) is escalating considerably. NAFLD covers a range of liver conditions from simple steatosis to the more severe form known as nonalcoholic steatohepatitis, which involves chronic liver inflammation and the transformation of hepatic stellate cells into myofibroblasts that generate excess extracellular matrix, leading to fibrosis. Hepatocyte ballooning is a key catalyst for fibrosis progression, potentially advancing to cirrhosis and its decompensated state. Fibrosis is a critical prognostic factor for outcomes in patients with NAFLD; therefore, those with substantial fibrosis require timely intervention. Although liver biopsy is the most reliable method for fibrosis detection, it is associated with certain risks and limitations, particularly in routine screening. Consequently, various noninvasive diagnostic techniques have been introduced. This review examines the increasing prevalence of NAFLD, evaluates the noninvasive diagnostic techniques for fibrosis, and assesses their efficacy in staging the disease. In addition, it critically appraises current and emerging antifibrotic therapies, focusing on their mechanisms, efficacy, and potential in reversing fibrosis. This review underscores the urgent need for effective therapeutic strategies, given the dire consequences of advanced fibrosis.
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Affiliation(s)
- Mohamed Abdel-Samiee
- Department of Hepatology and Gastroenterology, National Liver Institute, Menoufia University, Shebin El-Kom 32511, Egypt
| | - Essam Salah Ibrahim
- Department of Medicine, RCSI Medical University of Bahrain, Adliya 15503, Bahrain
| | - Mohamed Kohla
- Department of Hepatology and Gastroenterology, National Liver Institute, Menoufia University, Shebin El-Kom 32511, Egypt
| | - Eman Abdelsameea
- Department of Hepatology and Gastroenterology, National Liver Institute, Menoufia University, Shebin El-Kom 32511, Egypt
| | - Mohsen Salama
- Department of Hepatology and Gastroenterology, National Liver Institute, Menoufia University, Shebin El-Kom 32511, Egypt
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Zhai Y, Hai D, Zeng L, Lin C, Tan X, Mo Z, Tao Q, Li W, Xu X, Zhao Q, Shuai J, Pan J. Artificial intelligence-based evaluation of prognosis in cirrhosis. J Transl Med 2024; 22:933. [PMID: 39402630 PMCID: PMC11475999 DOI: 10.1186/s12967-024-05726-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 10/02/2024] [Indexed: 10/19/2024] Open
Abstract
Cirrhosis represents a significant global health challenge, characterized by high morbidity and mortality rates that severely impact human health. Timely and precise prognostic assessments of liver cirrhosis are crucial for improving patient outcomes and reducing mortality rates as they enable physicians to identify high-risk patients and implement early interventions. This paper features a thorough literature review on the prognostic assessment of liver cirrhosis, aiming to summarize and delineate the present status and constraints associated with the application of traditional prognostic tools in clinical settings. Among these tools, the Child-Pugh and Model for End-Stage Liver Disease (MELD) scoring systems are predominantly utilized. However, their accuracy varies significantly. These systems are generally suitable for broad assessments but lack condition-specific applicability and fail to capture the risks associated with dynamic changes in patient conditions. Future research in this field is poised for deep exploration into the integration of artificial intelligence (AI) with routine clinical and multi-omics data in patients with cirrhosis. The goal is to transition from static, unimodal assessment models to dynamic, multimodal frameworks. Such advancements will not only improve the precision of prognostic tools but also facilitate personalized medicine approaches, potentially revolutionizing clinical outcomes.
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Affiliation(s)
- Yinping Zhai
- Department of Gastroenterology Nursing Unit, Ward 192, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Darong Hai
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Li Zeng
- The Second Clinical Medical College of Wenzhou Medical University, Wenzhou, 325000, China
| | - Chenyan Lin
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Xinru Tan
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, 325000, China
| | - Zefei Mo
- School of Biomedical Engineering, School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325000, China
| | - Qijia Tao
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Wenhui Li
- The School of Nursing, Wenzhou Medical University, Wenzhou, 325000, China
| | - Xiaowei Xu
- Department of Gastroenterology Nursing Unit, Ward 192, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Qi Zhao
- School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, 114051, China.
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325000, China.
| | - Jianwei Shuai
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325000, China.
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), Wenzhou, 325000, China.
| | - Jingye Pan
- Department of Big Data in Health Science, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, Wenzhou, 325000, China.
- Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, Wenzhou, 325000, China.
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Malandris K, Arampidis D, Mainou M, Papadopoulos N, Karagiannis T, Nayfeh T, Liakos A, Sinakos E, Tsapas A, Bekiari E. FibroScan-AST score for diagnosing fibrotic MASH: A systematic review and meta-analysis of diagnostic test accuracy studies. J Gastroenterol Hepatol 2024. [PMID: 39394945 DOI: 10.1111/jgh.16770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 09/11/2024] [Accepted: 09/29/2024] [Indexed: 10/14/2024]
Abstract
BACKGROUND AND AIM Following the approval of the first agent for the management of metabolic dysfunction-associated steatohepatitis (MASH), identification of patients with fibrotic MASH (MASH with NAS ≥ 4 and fibrosis stage ≥ 2) is crucial. We assessed the performance of FibroScan-aspartate aminotransferase (AST) score (FAST) for ruling in/out fibrotic MASH. METHODS We searched Medline, Cochrane Library, Web of Science, Scopus, and gray literature sources up to January 11, 2024. Studies were eligible if they assessed the accuracy of FAST score for the detection of fibrotic MASH using biopsy as the reference standard at previously reported thresholds (FAST ≥ 0.67 for ruling-in and ≤ 0.35 for ruling-out fibrotic MASH). We calculated pooled sensitivity and specificity estimates for FAST thresholds alongside 95% confidence intervals following bivariate random- effects models. We assessed the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework. RESULTS We included 16 studies with 8838 participants. A FAST score ≥ 0.67 yielded a pooled specificity of 0.87 (0.82-0.90) while a FAST score ≤ 0.35 yielded a summary sensitivity of 0.88 (0.83-0.91). At a prevalence of 30%, the positive predictive value for ruling-in fibrotic MASH was 60% while the negative predictive value for ruling-out the target condition was 91%. AST levels, cirrhosis prevalence, and number of pathologists reviewing biopsies were sources of heterogeneity among studies. The certainty of evidence was low to very low. CONCLUSIONS FAST score can be used as a triage test for ruling out fibrotic MASH. Nevertheless, its low positive predictive value necessitates sequential testing for ruling-in fibrotic MASH.
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Affiliation(s)
- Konstantinos Malandris
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitrios Arampidis
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Maria Mainou
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Papadopoulos
- School of Medicine, Faculty of Health Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Thomas Karagiannis
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Tarek Nayfeh
- Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Aris Liakos
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Emmanouil Sinakos
- Fourth Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Apostolos Tsapas
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Harris Manchester College, University of Oxford, Oxford, UK
| | - Eleni Bekiari
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece
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5
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Allen AM, Younossi ZM, Diehl AM, Charlton MR, Lazarus JV. Envisioning how to advance the MASH field. Nat Rev Gastroenterol Hepatol 2024; 21:726-738. [PMID: 38834817 DOI: 10.1038/s41575-024-00938-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/02/2024] [Indexed: 06/06/2024]
Abstract
Since 1980, the cumulative effort of scientists and health-care stakeholders has advanced the prerequisites to address metabolic dysfunction-associated steatotic liver disease (MASLD), a prevalent chronic non-communicable liver disease. This effort has led to, among others, the approval of the first drug specific for metabolic dysfunction-associated steatohepatitis (MASH; formerly known as nonalcoholic steatohepatitis). Despite substantial progress, MASLD is still a leading cause of advanced chronic liver disease, including primary liver cancer. This Perspective contextualizes the nomenclature change from nonalcoholic fatty liver disease to MASLD and proposes important considerations to accelerate further progress in the field, optimize patient-centric multidisciplinary care pathways, advance pharmacological, behavioural and diagnostic research, and address health disparities. Key regulatory and other steps necessary to optimize the approval and access to upcoming additional pharmacological therapeutic agents for MASH are also outlined. We conclude by calling for increased education and awareness, enhanced health system preparedness, and concerted action by policy-makers to further the public health and policy agenda to achieve at least parity with other non-communicable diseases and to aid in growing the community of practice to reduce the human and economic burden and end the public health threat of MASLD and MASH by 2030.
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Affiliation(s)
- Alina M Allen
- Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Zobair M Younossi
- Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, VA, USA
- The Global NASH Council, Washington DC, USA
| | | | - Michael R Charlton
- Center for Liver Diseases, Department of Medicine, The University of Chicago, Chicago, IL, USA
| | - Jeffrey V Lazarus
- The Global NASH Council, Washington DC, USA.
- CUNY Graduate School of Public Health and Health Policy (CUNY SPH), New York, NY, USA.
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic, University of Barcelona, Barcelona, Spain.
- Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
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6
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Zhi Y, Dong Y, Li X, Zhong W, Lei X, Tang J, Mao Y. Current Progress and Challenges in the Development of Pharmacotherapy for Metabolic Dysfunction-Associated Steatohepatitis. Diabetes Metab Res Rev 2024; 40:e3846. [PMID: 39329241 DOI: 10.1002/dmrr.3846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 08/10/2024] [Accepted: 09/11/2024] [Indexed: 09/28/2024]
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH), a severe form of metabolic dysfunction-associated steatotic liver disease (MASLD), poses a significant threat to global health. Despite extensive research efforts over the past decade, only one drug has received market approval under accelerated pathways. In this review, we summarise the pathogenesis of MASH and present a comprehensive overview of recent advances in phase 2-3 clinical trials targeting MASH. These trials have highlighted considerable challenges, including low response rates to drugs, limitations of current surrogate histological endpoints, and inadequacies in the design of MASH clinical trials, all of which hinder the progress of MASH pharmacotherapy. We also explored the potential of non-invasive tests to enhance clinical trial design. Furthermore, given the strong association between MASLD and cardiometabolic disorders, we advocate for an integrated approach to disease management to improve overall patient outcomes. Continued investigation into the mechanisms and pharmacology of combination therapies may offer valuable insights for developing innovative MASH treatments.
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Affiliation(s)
- Yang Zhi
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Research Center of Fatty Liver Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yinuo Dong
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Research Center of Fatty Liver Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyun Li
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Research Center of Fatty Liver Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhong
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Research Center of Fatty Liver Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaohong Lei
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Research Center of Fatty Liver Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jieting Tang
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Research Center of Fatty Liver Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yimin Mao
- Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Shanghai Research Center of Fatty Liver Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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7
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Kim MN, Han JW, An J, Kim BK, Jin YJ, Kim SS, Lee M, Lee HA, Cho Y, Kim HY, Shin YR, Yu JH, Kim MY, Choi Y, Chon YE, Cho EJ, Lee EJ, Kim SG, Kim W, Jun DW, Kim SU. KASL clinical practice guidelines for noninvasive tests to assess liver fibrosis in chronic liver disease. Clin Mol Hepatol 2024; 30:S5-S105. [PMID: 39159947 PMCID: PMC11493350 DOI: 10.3350/cmh.2024.0506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 08/12/2024] [Accepted: 08/16/2024] [Indexed: 08/21/2024] Open
Affiliation(s)
- Mi Na Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Ji Won Han
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jihyun An
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Beom Kyung Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Young-Joo Jin
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Seung-seob Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Minjong Lee
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Han Ah Lee
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Yuri Cho
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
| | - Hee Yeon Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yu Rim Shin
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Hwan Yu
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Moon Young Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - YoungRok Choi
- Department of Surgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
| | - Young Eun Chon
- Department of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Eun Ju Cho
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Joo Lee
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Gyune Kim
- Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Won Kim
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - on behalf of The Korean Association for the Study of the Liver (KASL)
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Institute of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
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8
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Chon YE, Jin YJ, An J, Kim HY, Choi M, Jun DW, Kim MN, Han JW, Lee HA, Yu JH, Kim SU. Optimal cut-offs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fibrosis in patients with nonalcoholic fatty liver disease: A systematic review and meta-analysis. Clin Mol Hepatol 2024; 30:S117-S133. [PMID: 39165159 PMCID: PMC11493355 DOI: 10.3350/cmh.2024.0392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 08/19/2024] [Accepted: 08/20/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND/AIMS Opinions differ regarding vibration-controlled transient elastography and magnetic resonance elastography (VCTE/MRE) cut-offs for diagnosing advanced fibrosis (AF) in patients with non-alcoholic fatty liver disease (NAFLD). We investigated the diagnostic performance and optimal cut-off values of VCTE and MRE for diagnosing AF. METHODS Literature databases, including Medline, EMBASE, Cochrane Library, and KoreaMed, were used to identify relevant studies published up to June 13, 2023. We selected studies evaluating VCTE and MRE regarding the degree of liver fibrosis using liver biopsy as the reference. The sensitivity, specificity, and area under receiver operating characteristics curves (AUCs) of the pooled data for VCTE and MRE for each fibrosis stage and optimal cut-offs for AF were investigated. RESULTS A total of 19,199 patients from 63 studies using VCTE showed diagnostic AUC of 0.83 (95% confidence interval: 0.80-0.86), 0.83 (0.80-0.86), 0.87 (0.84-0.90), and 0.94 (0.91-0.96) for ≥F1, ≥F2, ≥F3, and F4 stages, respectively. Similarly, 1,484 patients from 14 studies using MRE showed diagnostic AUC of 0.89 (0.86-0.92), 0.92 (0.89-0.94), 0.89 (0.86-0.92), and 0.94 (0.91-0.96) for ≥F1, ≥F2, ≥F3, and F4 stages, respectively. The diagnostic AUC for AF using VCTE was highest at 0.90 with a cut-off of 7.1-7.9 kPa, and that of MRE was highest at 0.94 with a cut-off of 3.62-3.8 kPa. CONCLUSION VCTE (7.1-7.9 kPa) and MRE (3.62-3.8 kPa) with the suggested cut-offs showed favorable accuracy for diagnosing AF in patients with NAFLD. This result will serve as a basis for clinical guidelines for non-invasive tests and differential diagnosis of AF.
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Affiliation(s)
- Young Eun Chon
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Young-Joo Jin
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Jihyun An
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Hee Yeon Kim
- Department of Internal Medicine, College of Medicine, Bucheon St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea
| | - Miyoung Choi
- Division of Health Technology Assessment Research, National Evidence-Based Healthcare Collaborating Agency (NECA), Seoul, Korea
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
| | - Mi Na Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Ji Won Han
- Department of Internal Medicine, College of Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea
| | - Han Ah Lee
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hwan Yu
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
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Tacke F, Horn P, Wai-Sun Wong V, Ratziu V, Bugianesi E, Francque S, Zelber-Sagi S, Valenti L, Roden M, Schick F, Yki-Järvinen H, Gastaldelli A, Vettor R, Frühbeck G, Dicker D. EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). J Hepatol 2024; 81:492-542. [PMID: 38851997 DOI: 10.1016/j.jhep.2024.04.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 04/30/2024] [Indexed: 06/10/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed non-alcoholic fatty liver disease (NAFLD), is defined as steatotic liver disease (SLD) in the presence of one or more cardiometabolic risk factor(s) and the absence of harmful alcohol intake. The spectrum of MASLD includes steatosis, metabolic dysfunction-associated steatohepatitis (MASH, previously NASH), fibrosis, cirrhosis and MASH-related hepatocellular carcinoma (HCC). This joint EASL-EASD-EASO guideline provides an update on definitions, prevention, screening, diagnosis and treatment for MASLD. Case-finding strategies for MASLD with liver fibrosis, using non-invasive tests, should be applied in individuals with cardiometabolic risk factors, abnormal liver enzymes, and/or radiological signs of hepatic steatosis, particularly in the presence of type 2 diabetes (T2D) or obesity with additional metabolic risk factor(s). A stepwise approach using blood-based scores (such as FIB-4) and, sequentially, imaging techniques (such as transient elastography) is suitable to rule-out/in advanced fibrosis, which is predictive of liver-related outcomes. In adults with MASLD, lifestyle modification - including weight loss, dietary changes, physical exercise and discouraging alcohol consumption - as well as optimal management of comorbidities - including use of incretin-based therapies (e.g. semaglutide, tirzepatide) for T2D or obesity, if indicated - is advised. Bariatric surgery is also an option in individuals with MASLD and obesity. If locally approved and dependent on the label, adults with non-cirrhotic MASH and significant liver fibrosis (stage ≥2) should be considered for a MASH-targeted treatment with resmetirom, which demonstrated histological effectiveness on steatohepatitis and fibrosis with an acceptable safety and tolerability profile. No MASH-targeted pharmacotherapy can currently be recommended for the cirrhotic stage. Management of MASH-related cirrhosis includes adaptations of metabolic drugs, nutritional counselling, surveillance for portal hypertension and HCC, as well as liver transplantation in decompensated cirrhosis.
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10
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Tong X, Sun Y, Wang Q, Zhao X, Chen W, Zhang M, Ren Y, Zhao X, Wu X, Zhao J, Sun C, Zheng M, Ren H, Yang Z, Ou X, Jia J, You H. Delicate and thin fibrous septa indicate a regression tendency in metabolic dysfunction-associated steatohepatitis patients with advanced fibrosis. Hepatol Int 2024:10.1007/s12072-024-10719-w. [PMID: 39152361 DOI: 10.1007/s12072-024-10719-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 08/02/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatohepatitis (MASH)-related fibrosis is reversible. However, the dynamic morphology change in fibrosis regression remains unclear. We aim to explore the morphological characteristics of fibrosis regression in advanced MASH patients. METHODS Clinical and histological data of 79 biopsy-proved MASH patients with advanced fibrosis (F3-F4) were reviewed. The second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) image technology was used to quantitatively identify the R (regressive) septa from P (progressive) septa and PS (perisinusoidal) fibrosis. Non-invasive tests were used to compare the fibrosis level with and without R septa groups. Transcriptomics was used to explore hub genes and the underlying mechanism of the formation of R septa. RESULTS The R septa were different from the P septa and PS fibrosis in detail collagen quantitation identified by SHG/TPEF technology. The R septa were found in MASH fibrosis-regressed patients, which met the definition of the "Beijing classification". Therefore, patients were divided into two groups according to septa morphology: with R septa (n = 10, 12.7%), and without R septa (n = 69, 87.3%). Patients with R septa had lower values in most non-invasive tests, especially for liver stiffness assessed by TE (12.3 vs. 19.4 kPa, p = 0.010) and FAST (FibroScan®-AST) score (0.43 vs. 0.70, p = 0.003). Transcriptomics analysis showed that the expressions of five hub fibrogenic genes, including Col3A1, BGN, Col4A1, THBS2, and Col4A2 in the R septa group, were significantly lower. CONCLUSIONS The R septa can be differentiated from the P septa and PS fibrosis by quantitative assessment of SHG/TPEF, and it represents a tendency of fibrosis regression in MASH patients. TRIAL REGISTRATION NCT03386890, 29/12/2017.
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Affiliation(s)
- Xiaofei Tong
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Yameng Sun
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Qianyi Wang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Xinyan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Wei Chen
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Mengyang Zhang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Yayun Ren
- HistoIndex Pte Ltd, Singapore, Singapore
| | - Xinyu Zhao
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Xiaoning Wu
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Jingjie Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Chenglin Sun
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Minghua Zheng
- MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Hao Ren
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhenghan Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaojuan Ou
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Jidong Jia
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Hong You
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China.
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Tincopa MA, Loomba R. Noninvasive Tests to Assess Fibrosis and Disease Severity in Metabolic Dysfunction-Associated Steatotic Liver Disease. Semin Liver Dis 2024; 44:287-299. [PMID: 38981691 DOI: 10.1055/s-0044-1788277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/11/2024]
Abstract
Risk of disease progression and clinical outcomes in metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with fibrosis stage and presence of "at-risk metabolic dysfunction-associated steatohepatitis (MASH)." Although liver biopsy is considered the gold standard to diagnose MASH and stage of fibrosis, biopsy is infrequently performed in clinical practice and has associated sampling error, lack of interrater reliability, and risk for procedural complications. Noninvasive tests (NITs) are routinely used in clinical practice for risk stratification of patients with MASLD. Several NITs are being developed for detecting "at-risk MASH" and cirrhosis. Clinical care guidelines apply NITs to identify patients needing subspecialty referral. With recently approved Food and Drug Administration treatment for MASH and additional emerging pharmacotherapy, NITs will identify patients who will most benefit from treatment, monitor treatment response, and assess risk for long-term clinical outcomes. In this review, we examine the performance of NITs to detect "at-risk MASH," fibrosis stage, response to treatment, and risk of clinical outcomes in MASLD and MASH.
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Affiliation(s)
- Monica A Tincopa
- Division of Gastroenterology and Hepatology, MASLD Research Center, University of California at San Diego, La Jolla, California
| | - Rohit Loomba
- Division of Gastroenterology and Hepatology, MASLD Research Center, University of California at San Diego, La Jolla, California
- School of Public Health, University of California at San Diego, La Jolla, California
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12
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Castera L, Garteiser P, Laouenan C, Vidal-Trécan T, Vallet-Pichard A, Manchon P, Paradis V, Czernichow S, Roulot D, Larger E, Pol S, Bedossa P, Correas JM, Valla D, Gautier JF, Van Beers BE. Prospective head-to-head comparison of non-invasive scores for diagnosis of fibrotic MASH in patients with type 2 diabetes. J Hepatol 2024; 81:195-206. [PMID: 38548067 DOI: 10.1016/j.jhep.2024.03.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 05/24/2024]
Abstract
BACKGROUND & AIMS Non-invasive scores have been proposed to identify patients with fibrotic, metabolic dysfunction-associated steatohepatitis (MASH), who are at the highest risk of progression to complications of cirrhosis and may benefit from pharmacologic treatments. However, data in patients with type 2 diabetes (T2DM) are lacking. The aim of this multicenter prospective study was to perform a head-to-head comparison of FAST (FibroScan-aspartate aminotransferase [AST]), MAST (MRI-AST), MEFIB (magnetic resonance elastography [MRE] plus FIB-4), and FNI (fibrotic NASH index) for detecting fibrotic MASH in patients with T2DM. METHODS A total of 330 outpatients with T2DM and biopsy-proven metabolic dysfunction-associated steatotic liver disease (MASLD) from the QUID-NASH study (NCT03634098), who underwent FibroScan, MRI-proton density fat fraction and MRE at the time of liver biopsy were studied. The main outcome was fibrotic MASH, defined as NAS ≥4 (with at least one point for each parameter) and fibrosis stage ≥2 (centrally reviewed). RESULTS All data for score comparisons were available for 245 patients (median age 59 years, 65% male, median BMI 31 kg/m2; fibrotic MASH in 39%). FAST and MAST had similar accuracy (AUROCs 0.81 vs. 0.79, p = 0.41) but outperformed FNI (0.74; p = 0.01) and MEFIB (0.68; p <0.0001). When using original cut-offs, MAST outperformed FAST, MEFIB and FNI when comparing the percentage of correctly classified patients, in whom liver biopsy would be avoided (69% vs. 48%, 46%, 39%, respectively; p <0.001). When using cut-offs specific to our population, FAST outperformed FNI and MAST (56% vs. 40%, and 38%, respectively; p <0.001). CONCLUSION Our findings show that FAST, MAST, MEFIB and FNI are accurate non-invasive tools to identify patients with T2DM and fibrotic MASH in secondary/tertiary diabetes clinics. Cut-offs adapted to the T2DM population should be considered. IMPACT AND IMPLICATIONS Among patients with type 2 diabetes (T2DM), identifying those with metabolic dysfunction-associated steatohepatitis and significant fibrosis, who are the most at risk of developing clinical liver-related outcomes and who may benefit from pharmacologic treatments, is an unmet need. In this prospective multicenter study, we compared four non-invasive scores, three based on imaging (MRI or ultrasound technologies) and one on laboratory blood tests, for this purpose, using original and study-specific cut-offs. Our findings show that FAST, MAST, MEFIB and FNI are accurate non-invasive tools to identify patients with T2DM and fibrotic MASH in secondary/tertiary diabetes clinics. Cut-offs adapted to the T2DM population should be considered. TRIAL REGISTRATION NUMBER NCT03634098.
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Affiliation(s)
- Laurent Castera
- Université Paris Cité, UMR1149 (CRI), Inserm, F-75018 Paris, France; Service d'hépatologie, AP-HP, Hôpital Beaujon, F-92110 Clichy-la-Garenne, France.
| | | | - Cédric Laouenan
- Université Paris Cité, UMR1137 (IAME), Inserm, F-75018 Paris, France; (DEBRC), APHP, Hôpital Bichat, Paris, France
| | - Tiphaine Vidal-Trécan
- Centre Universitaire du Diabète et de ses Complications, AP-HP, Hôpital Lariboisière, F-75010 Paris, France
| | | | | | - Valérie Paradis
- Université Paris Cité, UMR1149 (CRI), Inserm, F-75018 Paris, France; Service d'anatomie et de cytologie pathologiques, AP-HP, Hôpital Beaujon, 792110 Clichy-la-Garenne, France
| | - Sébastien Czernichow
- INSERM UMR-S1151, CNRS UMR-S8253, Immediab lab, Institut Necker-Enfants Malades, Université Paris Cité, Paris, France; Service de nutrition, centre spécialisé Obésité, APHP, Hôpital Européen Georges Pompidou, F-75015 Paris, France
| | - Dominique Roulot
- Université Paris-Est, U955, Inserm, F-94000 Créteil, France; Unité d'hépatologie, AP-HP, Hôpital Avicenne, 93000 Bobigny, France
| | - Etienne Larger
- Université Paris Cité, Institut Cochin, U1016, Inserm, F-75014 Paris, France; Service de diabétologie, AP-HP, Groupe hospitalier Cochin, F-75014 Paris, France
| | - Stanislas Pol
- Service d'hépatologie, AP-HP, Groupe hospitalier Cochin, F-75014 Paris, France; Université Paris Cité, Institut Cochin, U1016, Inserm, F-75014 Paris, France
| | - Pierre Bedossa
- Université Paris Cité, UMR1149 (CRI), Inserm, F-75018 Paris, France; Liverpat, F-75116 Paris, France
| | - Jean-Michel Correas
- Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France; Service d'Imagerie Adulte, AP-HP, Hôpital Necker Enfants Malades, F-75015 Paris, France
| | - Dominique Valla
- Université Paris Cité, UMR1149 (CRI), Inserm, F-75018 Paris, France; Service d'hépatologie, AP-HP, Hôpital Beaujon, F-92110 Clichy-la-Garenne, France
| | - Jean-François Gautier
- Centre Universitaire du Diabète et de ses Complications, AP-HP, Hôpital Lariboisière, F-75010 Paris, France; INSERM UMR-S1151, CNRS UMR-S8253, Immediab lab, Institut Necker-Enfants Malades, Université Paris Cité, Paris, France
| | - Bernard E Van Beers
- Université Paris Cité, UMR1149 (CRI), Inserm, F-75018 Paris, France; Service de Radiologie, AP-HP, Hôpital Beaujon, F-92110 Clichy-la-Garenne, France
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13
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Mózes FE, Lee JA, Vali Y, Selvaraj EA, Jayaswal ANA, Boursier J, de Lédinghen V, Lupșor-Platon M, Yilmaz Y, Chan WK, Mahadeva S, Karlas T, Wiegand J, Shalimar, Tsochatzis E, Liguori A, Wong VWS, Lee DH, Holleboom AG, van Dijk AM, Mak AL, Hagström H, Akbari C, Hirooka M, Lee DH, Kim W, Okanoue T, Shima T, Nakajima A, Yoneda M, Thuluvath PJ, Li F, Berzigotti A, Mendoza YP, Noureddin M, Truong E, Fournier-Poizat C, Geier A, Tuthill T, Yunis C, Anstee QM, Harrison SA, Bossuyt PM, Pavlides M. Diagnostic accuracy of non-invasive tests to screen for at-risk MASH-An individual participant data meta-analysis. Liver Int 2024; 44:1872-1885. [PMID: 38573034 DOI: 10.1111/liv.15914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 02/07/2024] [Accepted: 03/17/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND & AIMS There is a need to reduce the screen failure rate (SFR) in metabolic dysfunction-associated steatohepatitis (MASH) clinical trials (MASH+F2-3; MASH+F4) and identify people with high-risk MASH (MASH+F2-4) in clinical practice. We aimed to evaluate non-invasive tests (NITs) screening approaches for these target conditions. METHODS This was an individual participant data meta-analysis for the performance of NITs against liver biopsy for MASH+F2-4, MASH+F2-3 and MASH+F4. Index tests were the FibroScan-AST (FAST) score, liver stiffness measured using vibration-controlled transient elastography (LSM-VCTE), the fibrosis-4 score (FIB-4) and the NAFLD fibrosis score (NFS). Area under the receiver operating characteristics curve (AUROC) and thresholds including those that achieved 34% SFR were reported. RESULTS We included 2281 unique cases. The prevalence of MASH+F2-4, MASH+F2-3 and MASH+F4 was 31%, 24% and 7%, respectively. Area under the receiver operating characteristics curves for MASH+F2-4 were .78, .75, .68 and .57 for FAST, LSM-VCTE, FIB-4 and NFS. Area under the receiver operating characteristics curves for MASH+F2-3 were .73, .67, .60, .58 for FAST, LSM-VCTE, FIB-4 and NFS. Area under the receiver operating characteristics curves for MASH+F4 were .79, .84, .81, .76 for FAST, LSM-VCTE, FIB-4 and NFS. The sequential combination of FIB-4 and LSM-VCTE for the detection of MASH+F2-3 with threshold of .7 and 3.48, and 5.9 and 20 kPa achieved SFR of 67% and sensitivity of 60%, detecting 15 true positive cases from a theoretical group of 100 participants at the prevalence of 24%. CONCLUSIONS Sequential combinations of NITs do not compromise diagnostic performance and may reduce resource utilisation through the need of fewer LSM-VCTE examinations.
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Affiliation(s)
- Ferenc E Mózes
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, OCMR, University of Oxford, Oxford, UK
| | - Jenny A Lee
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Yasaman Vali
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Emmanuel A Selvaraj
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, OCMR, University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
| | - Arjun N A Jayaswal
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, OCMR, University of Oxford, Oxford, UK
| | - Jérôme Boursier
- Laboratoire HIFIH, UPRES EA 3859, SFR ICAT 4208, Université d'Angers, Angers, France
- Service d'Hépato-Gastroentérologie et Oncologie Digestive, Centre Hospitalier Universitaire d'Angers, Angers, France
| | - Victor de Lédinghen
- Centre d'Investigation de la Fibrose Hépatique, Hôpital Haut-Lévêque, Bordeaux University Hospital, Pessac, France
- INSERM1312, Bordeaux University, Bordeaux, France
| | - Monica Lupșor-Platon
- Department of Medical Imaging, Iuliu Hațieganu University of Medicine and Pharmacy, Regional Institute of Gastroenterology and Hepatology "Prof.Dr. Octavian Fodor", Cluj-Napoca, Romania
| | - Yusuf Yilmaz
- Department of Gastroenterology, School of Medicine, Marmara University, Istanbul, Turkey
- Department of Gastroenterology, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey
| | - Wah-Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Sanjiv Mahadeva
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Thomas Karlas
- Department of Oncology, Gastroenterology, Hepatology, Pulmonology and Infectious Diseases, University Hospital Leipzig, Leipzig, Germany
| | - Johannes Wiegand
- Department of Oncology, Gastroenterology, Hepatology, Pulmonology and Infectious Diseases, University Hospital Leipzig, Leipzig, Germany
| | - Shalimar
- Department of Gastroenterology, All India Institute of Medical Sciences, New Delhi, India
| | - Emmanouil Tsochatzis
- Sheila Sherlock Liver Unit and UCL Institute for Liver and Digestive Health, Royal Free Hospital and University College London, London, UK
| | - Antonio Liguori
- Sheila Sherlock Liver Unit and UCL Institute for Liver and Digestive Health, Royal Free Hospital and University College London, London, UK
- Department of Translational Medicine and Surgery, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Dae Ho Lee
- Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Adriaan G Holleboom
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Anne-Marieke van Dijk
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Anne Linde Mak
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Hannes Hagström
- Division of Liver and Pancreatic diseases, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Camilla Akbari
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Masashi Hirooka
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Touon, Ehime, Japan
| | - Dong Hyeon Lee
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Republic of Korea
| | - Won Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Republic of Korea
| | - Takeshi Okanoue
- Department of Gastroenterology and Hepatology, Saiseikai Suita Hospital, Suita, Japan
| | - Toshihide Shima
- Department of Gastroenterology and Hepatology, Saiseikai Suita Hospital, Suita, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan
| | - Masato Yoneda
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine, Yokohama, Japan
| | - Paul J Thuluvath
- Institute of Digestive Health and Liver Diseases, Mercy Medical Center, Baltimore, Maryland, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Feng Li
- Institute of Digestive Health and Liver Diseases, Mercy Medical Center, Baltimore, Maryland, USA
| | - Annalisa Berzigotti
- Department for Visceral Medicine and Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Yuly P Mendoza
- Department for Visceral Medicine and Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences (GHS), University of Bern, Bern, Switzerland
| | - Mazen Noureddin
- Houston Research Institute, Houston Methodist Hospital, Houston, Texas, USA
| | - Emily Truong
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | - Andreas Geier
- Division of Hepatology, University Hospital Würzburg, Würzburg, Germany
| | - Theresa Tuthill
- Internal Medicine Research Unit, Pfizer Inc, Cambridge, Massachusetts, USA
| | - Carla Yunis
- Clinical Development and Operations, Global Product Development, Pfizer, Inc, Lake Mary, Florida, USA
| | - Quentin M Anstee
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
| | - Stephen A Harrison
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, OCMR, University of Oxford, Oxford, UK
| | - Patrick M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Michael Pavlides
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, OCMR, University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
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14
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Qi S, Wei X, Zhao J, Wei X, Guo H, Hu J, WuYun Q, Pan CQ, Zhang N, Zhang J. Performance of MAST, FAST, and MEFIB in predicting metabolic dysfunction-associated steatohepatitis. J Gastroenterol Hepatol 2024; 39:1656-1662. [PMID: 38686620 DOI: 10.1111/jgh.16589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/14/2024] [Accepted: 04/15/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND AND AIM To identify individuals with metabolic dysfunction-associated steatohepatitis (MASH) or "at-risk" MASH among patients with metabolic dysfunction-associated steatotic liver disease (MASLD), three noninvasive models are available with satisfactory efficiency, which include magnetic resonance imaging [MRI]- AST (MAST), FibroScan-AST (FAST score), and magnetic resonance elastography [MRE] plus FIB-4 (MEFIB). We aimed to evaluate the most accurate approach for diagnosing MASH or "at-risk" MASH. METHODS We included 108 biopsy-proven MASLD patients who underwent simultaneous assessment of MRE, MRI proton density fat fraction (MRI-PDFF), and FibroScan scans. Compared with the histological diagnosis, we analyzed the AUC of each model and assessed the accuracy. RESULTS Our study cohort consisted of 64.8% of MASH and 25.9% of "at-risk" MASH. When analyzing the performance of each model for the diagnostic accuracy of MASH, we found that the AUC [95% CI] of MAST was comparable to FAST (0.803 [0.719-0.886] vs 0.799 [0.707-0.891], P = 0.930) and better than MEFIB (0.671 [0.571-0.772], P = 0.005). Similar findings were observed in the "at-risk" MASH patients. The AUCs [95% CI] for MAST, FAST, and MEFIB were 0.810 [0.719-0.900], 0.782 [0.689-0.874], and 0.729 [0.619-0.838], respectively. The models of MAST and FAST had comparable AUCs (P = 0.347), which were statistically significantly higher than that of MEFIB (P = 0.041). Additionally, the cutoffs for diagnosis of MASH were lower than "at-risk" MASH. CONCLUSION MAST and FAST performed better than MEFIB in diagnosing "at-risk" MASH and MASH using lower cutoff values. Our findings provided evidence for selecting the most accurate noninvasive model to identify patients with MASH or at-risk MASH.
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Affiliation(s)
- Shi Qi
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xiaodie Wei
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jinhan Zhao
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Xinhuan Wei
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Haiqing Guo
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Jingxian Hu
- Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Qiqige WuYun
- Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China
| | - Calvin Q Pan
- Division of Gastroenterology and Hepatology, NYU Langone Health, NYU Grossman School of Medicine, New York, USA
| | - Nengwei Zhang
- Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China
| | - Jing Zhang
- Beijing Youan Hospital, Capital Medical University, Beijing, China
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15
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Noureddin M, Charlton MR, Harrison SA, Bansal MB, Alkhouri N, Loomba R, Sanyal AJ, Rinella ME. Expert Panel Recommendations: Practical Clinical Applications for Initiating and Monitoring Resmetirom in Patients with MASH/NASH and Moderate to Noncirrhotic Advanced Fibrosis. Clin Gastroenterol Hepatol 2024:S1542-3565(24)00667-0. [PMID: 39038768 DOI: 10.1016/j.cgh.2024.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/15/2024] [Accepted: 07/15/2024] [Indexed: 07/24/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease affects 1 in 4 people in the United States and western Europe, with an important proportion developing metabolic dysfunction-associated steatohepatitis (MASH), the progressive subtype of metabolic dysfunction-associated steatotic liver disease. Cirrhosis caused by MASH is a leading indication for liver transplantation and the most common cause of hepatocellular carcinoma. Hitherto, there have been no specific pharmacotherapies for MASH. The recent conditional approval by the Food and Drug Administration of resmetirom for the treatment of moderate or advanced MASH presents a much-anticipated therapeutic option for patients with noncirrhotic advanced MASH. Specifically, the intended population for resmetirom are patients with MASH and fibrosis stages 2 or 3. The approval of resmetirom also presents important challenges, including how to noninvasively identify patients with fibrosis stages 2-3, and how to exclude patients with more advanced disease who should not be treated until further data emerge on the use of resmetirom in this population. Herein we consider the available literature with regard to identifying the intended population for treatment with resmetirom and in proposing criteria for stopping treatment.
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Affiliation(s)
- Mazen Noureddin
- Houston Methodist Hospital, Houston Research Institute, Houston, Texas
| | | | - Stephen A Harrison
- Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | | | | | | | - Arun J Sanyal
- Virginia Commonwealth University, Richmond, Virginia
| | - Mary E Rinella
- University of Chicago, Pritzker School of Medicine, Chicago, Illinois.
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16
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Koh B, Xiao J, Ng CH, Law M, Gunalan SZ, Danpanichkul P, Ramadoss V, Sim BKL, Tan EY, Teo CB, Nah B, Teng M, Wijarnpreecha K, Seko Y, Lim MC, Takahashi H, Nakajima A, Noureddin M, Muthiah M, Huang DQ, Loomba R. Comparative efficacy of pharmacologic therapies for MASH in reducing liver fat content: Systematic review and network meta-analysis. Hepatology 2024:01515467-990000000-00972. [PMID: 39028914 DOI: 10.1097/hep.0000000000001028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 06/21/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatohepatitis (MASH) is a leading cause of liver disease. Dynamic changes in MRI proton-density-fat fraction (PDFF) are associated with MASH resolution. We aimed to determine the relative efficacy of therapeutic agents for reducing hepatic fat, assessed by MRI-PDFF. APPROACH AND RESULTS In this systematic review and network meta-analysis, we searched MEDLINE and Embase from inception until December 26, 2023, for published randomized controlled trials comparing pharmacological interventions in patients with MASH that assessed changes in MRI-PDFF. The primary outcome was the absolute change in MRI-PDFF. The secondary outcome was a ≥30% decline in MRI-PDFF. A surface under-the-curve cumulative ranking probabilities (SUCRA) analysis was performed. Of 1550 records, a total of 39 randomized controlled trials (3311 participants) met the inclusion criteria. For MRI-PDFF decline at 24 weeks, aldafermin (SUCRA: 83.65), pegozafermin (SUCRA: 83.46), and pioglitazone (SUCRA: 71.67) were ranked the most effective interventions. At 24 weeks, efinopegdutide (SUCRA: 67.02), semaglutide + firsocostat (SUCRA: 62.43), and pegbelfermin (SUCRA: 61.68) were ranked the most effective interventions for achieving a ≥30% decline in MRI-PDFF. CONCLUSIONS This study provides an updated, relative rank-order efficacy of therapies for MASH in reducing hepatic fat. These data may help inform the design and sample size calculation of future clinical trials and assist in the selection of combination therapy.
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Affiliation(s)
- Benjamin Koh
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jieling Xiao
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cheng Han Ng
- Department of Medicine, Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore
- Department of Medicine, Division of Gastroenterology, Kurume University School of Medicine, Kurume, Japan
| | - Michelle Law
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shyna Zhuoying Gunalan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Pojsakorn Danpanichkul
- Immunology Unit, Department of Microbiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Vijay Ramadoss
- Department of Medicine, Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore
| | - Benedix Kuan Loon Sim
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - En Ying Tan
- Department of Medicine, Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore
| | - Chong Boon Teo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Benjamin Nah
- Department of Medicine, Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore
| | - Margaret Teng
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Karn Wijarnpreecha
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Arizona College of Medicine, Phoenix, Arizona, USA
| | - Yuya Seko
- Department of Gastroenterology and Hepatology, Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Mei Chin Lim
- Department of Diagnostic Imaging, National University Hospital, Singapore, Singapore
| | - Hirokazu Takahashi
- Division of Metabolism and Endocrinology, Department of Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Mazen Noureddin
- Department of Medicine, Houston Research Institute, Houston Methodist Hospital, Houston, Texas, USA
| | - Mark Muthiah
- Department of Medicine, Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore
| | - Daniel Q Huang
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Medicine, Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore
- Department of Medicine, National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, MASLD Research Center, University of California at San Diego, La Jolla, California, USA
| | - Rohit Loomba
- Division of Gastroenterology and Hepatology, Department of Medicine, MASLD Research Center, University of California at San Diego, La Jolla, California, USA
- Department of Family Medicine and Public Health, Division of Epidemiology, University of California at San Diego, San Diego, California, USA
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Choi SJ, Yoon S, Kim KK, Kim D, Lee HE, Kim KG, Shin SK, Park IB, Kim SM, Lee DH. A Composite Blood Biomarker Including AKR1B10 and Cytokeratin 18 for Progressive Types of Nonalcoholic Fatty Liver Disease. Diabetes Metab J 2024; 48:740-751. [PMID: 38311058 PMCID: PMC11307119 DOI: 10.4093/dmj.2023.0189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 08/16/2023] [Indexed: 02/06/2024] Open
Abstract
BACKGRUOUND We aimed to evaluate whether composite blood biomarkers including aldo-keto reductase family 1 member B10 (AKR1B10) and cytokeratin 18 (CK-18; a nonalcoholic steatohepatitis [NASH] marker) have clinically applicable performance for the diagnosis of NASH, advanced liver fibrosis, and high-risk NASH (NASH+significant fibrosis). METHODS A total of 116 subjects including healthy control subjects and patients with biopsy-proven nonalcoholic fatty liver disease (NAFLD) were analyzed to assess composite blood-based and imaging-based biomarkers either singly or in combination. RESULTS A composite blood biomarker comprised of AKR1B10, CK-18, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) showed excellent performance for the diagnosis of, NASH, advanced fibrosis, and high-risk NASH, with area under the receiver operating characteristic curve values of 0.934 (95% confidence interval [CI], 0.888 to 0.981), 0.902 (95% CI, 0.832 to 0.971), and 0.918 (95% CI, 0.862 to 0.974), respectively. However, the performance of this blood composite biomarker was inferior to that various magnetic resonance (MR)-based composite biomarkers, such as proton density fat fraction/MR elastography- liver stiffness measurement (MRE-LSM)/ALT/AST for NASH, MRE-LSM+fibrosis-4 index for advanced fibrosis, and the known MR imaging-AST (MAST) score for high-risk NASH. CONCLUSION Our blood composite biomarker can be useful to distinguish progressive forms of NAFLD as an initial noninvasive test when MR-based tools are not available.
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Affiliation(s)
- Seung Joon Choi
- Department of Radiology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Sungjin Yoon
- Department of Radiology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Kyoung-Kon Kim
- Department of Family Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Doojin Kim
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Hye Eun Lee
- Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Kwang Gi Kim
- Department of Biomedical Engineering, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seung Kak Shin
- Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Ie Byung Park
- Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seong Min Kim
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Dae Ho Lee
- Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
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18
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Huang CX, Zhou XD, Pan CQ, Zheng MH. Screening for metabolic dysfunction-associated fatty liver disease: Time to discard the emperor's clothes of normal liver enzymes? World J Gastroenterol 2024; 30:2839-2842. [PMID: 38947289 PMCID: PMC11212714 DOI: 10.3748/wjg.v30.i22.2839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/28/2024] [Accepted: 05/20/2024] [Indexed: 06/05/2024] Open
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) is the most prevalent chronic liver condition worldwide. Current liver enzyme-based screening methods have limitations that may missed diagnoses and treatment delays. Regarding Chen et al, the risk of developing MAFLD remains elevated even when alanine aminotransferase levels fall within the normal range. Therefore, there is an urgent need for advanced diagnostic techniques and updated algorithms to enhance the accuracy of MAFLD diagnosis and enable early intervention. This paper proposes two potential screening methods for identifying individuals who may be at risk of developing MAFLD: Lowering these thresholds and promoting the use of noninvasive liver fibrosis scores.
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Affiliation(s)
- Chen-Xiao Huang
- Metabolic Dysfunction-Associated Fatty Liver Disease Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Xiao-Dong Zhou
- Department of Cardiovascular Medicine, The Key Laboratory of Cardiovascular Diseases of Wenzhou, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Calvin Q Pan
- Division of Gastroenterology and Hepatology, Department of Medicine, New York University Langone Health, New York University Grossman School of Medicine, New York, NY 11355, United States
| | - Ming-Hua Zheng
- Metabolic Dysfunction-Associated Fatty Liver Disease Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
- Institute of Hepatology, Wenzhou Medical University, Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou 325000, Zhejiang Province, China
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19
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EASL-EASD-EASO Clinical Practice Guidelines on the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). Obes Facts 2024; 17:374-444. [PMID: 38852583 PMCID: PMC11299976 DOI: 10.1159/000539371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 05/15/2024] [Indexed: 06/11/2024] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously termed non-alcoholic fatty liver disease (NAFLD), is defined as steatotic liver disease (SLD) in the presence of one or more cardiometabolic risk factor(s) and the absence of harmful alcohol intake. The spectrum of MASLD includes steatosis, metabolic dysfunction-associated steatohepatitis (MASH, previously NASH), fibrosis, cirrhosis and MASH-related hepatocellular carcinoma (HCC). This joint EASL-EASD-EASO guideline provides an update on definitions, prevention, screening, diagnosis and treatment for MASLD. Case-finding strategies for MASLD with liver fibrosis, using non-invasive tests, should be applied in individuals with cardiometabolic risk factors, abnormal liver enzymes, and/or radiological signs of hepatic steatosis, particularly in the presence of type 2 diabetes (T2D) or obesity with additional metabolic risk factor(s). A stepwise approach using blood-based scores (such as FIB-4) and, sequentially, imaging techniques (such as transient elastography) is suitable to rule-out/in advanced fibrosis, which is predictive of liver-related outcomes. In adults with MASLD, lifestyle modification - including weight loss, dietary changes, physical exercise and discouraging alcohol consumption - as well as optimal management of comorbidities - including use of incretin-based therapies (e.g. semaglutide, tirzepatide) for T2D or obesity, if indicated - is advised. Bariatric surgery is also an option in individuals with MASLD and obesity. If locally approved and dependent on the label, adults with non-cirrhotic MASH and significant liver fibrosis (stage ≥2) should be considered for a MASH-targeted treatment with resmetirom, which demonstrated histological effectiveness on steatohepatitis and fibrosis with an acceptable safety and tolerability profile. No MASH-targeted pharmacotherapy can currently be recommended for the cirrhotic stage. Management of MASH-related cirrhosis includes adaptations of metabolic drugs, nutritional counselling, surveillance for portal hypertension and HCC, as well as liver transplantation in decompensated cirrhosis.
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20
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Ma Y, Wang J, Xiao W, Fan X. A review of MASLD-related hepatocellular carcinoma: progress in pathogenesis, early detection, and therapeutic interventions. Front Med (Lausanne) 2024; 11:1410668. [PMID: 38895182 PMCID: PMC11184143 DOI: 10.3389/fmed.2024.1410668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
The incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) is continuously rising, evolving into a global health challenge. Concurrently, cases of hepatocellular carcinoma (HCC) associated with MASLD are also on the increase. Although traditional risk factors such as age, gender, and metabolic factors play significant roles in the development of HCC, it cannot be overlooked that MASLD, triggered by changes in modern lifestyle and dietary habits, may also exacerbate the risk of HCC, and this phenomenon is common even among non-obese individuals. Regrettably, MASLD often fails to receive timely diagnosis, resulting in a limited number of patients receiving HCC surveillance. Moreover, there is currently a lack of clear definition for the target population for surveillance beyond patients with cirrhosis. Consequently, MASLD-related HCC is often detected at a late stage, precluding the optimal timing for curative treatment. However, our understanding of the pathogenesis and progression of HCC remains limited. Therefore, this paper reviews relevant literature from recent years, delving into multiple dimensions such as pathogenesis, surveillance and diagnosis, prevention, and treatment, aiming to provide new ideas and directions for the prevention and treatment of MASLD-related HCC.
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Affiliation(s)
- Yang Ma
- Department of Human Anatomy, School of Basic Medicine, Guilin Medical University, Guilin, China
| | - Jinguo Wang
- School of Public Health, Guilin Medical University, Guilin, China
| | - Wenping Xiao
- Department of Human Anatomy, School of Basic Medicine, Guilin Medical University, Guilin, China
| | - Xiaoming Fan
- Department of Human Anatomy, School of Basic Medicine, Guilin Medical University, Guilin, China
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21
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Noureddin N, Copur-Dahi N, Loomba R. Monitoring disease progression in metabolic dysfunction-associated steatotic liver disease. Aliment Pharmacol Ther 2024; 59 Suppl 1:S41-S51. [PMID: 38813822 PMCID: PMC11141723 DOI: 10.1111/apt.17752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 05/31/2024]
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease. Its prevalence is increasing with the epidemic of obesity and metabolic syndrome. MASLD progression into metabolic dysfunction-associated steatohepatitis (MASH) and advanced fibrosis may lead to decompensated cirrhosis and development of liver-related events, hepatocellular carcinoma and death. Monitoring disease progression is critical in decreasing morbidity, mortality, need for transplant and economic burden. Assessing for treatment response once FDA-approved medications are available is still an unmet clinical need. AIMS To explore the most up-to-date literature on testing used for monitoring disease progression and treatment response METHODS: We searched PubMed from inception to 15 August 2023, using the following MeSH terms: 'MASLD', 'Metabolic dysfunction-associated steatotic liver disease', 'MASH', 'metabolic dysfunction-associated steatohepatitis', 'Non-Alcoholic Fatty Liver Disease', 'NAFLD', 'non-alcoholic steatohepatitis', 'NASH', 'Biomarkers', 'clinical trial'. Articles were also identified through searches of the authors' files. The final reference list was generated based on originality and relevance to this review's broad scope, considering only papers published in English. RESULTS We have cited 101 references in this review detailing methods to monitor MASLD disease progression and treatment response. CONCLUSION Various biomarkers can be used in different care settings to monitor disease progression. Further research is needed to validate noninvasive tests more effectively.
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Affiliation(s)
- Nabil Noureddin
- MASLD Research Center, University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology & Hepatology, University of California at San Diego, La Jolla, CA, USA
| | - Nedret Copur-Dahi
- Division of Gastroenterology & Hepatology, University of California at San Diego, La Jolla, CA, USA
| | - Rohit Loomba
- MASLD Research Center, University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology & Hepatology, University of California at San Diego, La Jolla, CA, USA
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22
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Mittal N, Siddiqi H, Madamba E, Richards L, Bettencourt R, Ajmera V, Loomba R. A prospective study on the prevalence of at-risk MASH in patients with type 2 diabetes mellitus in the United States. Aliment Pharmacol Ther 2024; 59:1571-1578. [PMID: 38586922 DOI: 10.1111/apt.17997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 03/22/2024] [Accepted: 03/30/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND There are limited data on the prevalence and treatment of at-risk metabolic dysfunction-associated steatohepatitis (MASH) among patients with type 2 diabetes (T2DM) in the United States. AIM To estimate the prevalence of at-risk MASH in a prospectively recruited cohort of adults with T2DM using new nomenclature endorsed by multiple societies. METHODS This prospective study enrolled adults aged ≥50 with T2DM from primary care and endocrinology clinics in southern California from 2016 to 2023. Metabolic dysfunction-associated steatotic liver disease (MASLD) was defined by an magnetic resonance imaging proton density fat fraction ≥5% and at least one metabolic risk factor without any other chronic liver disease or secondary cause for hepatic steatosis. RESULTS We included 530 adult patients with T2DM. The mean (±SD) age and body mass index (BMI) were 64.4 (±8.1) years and 31.5 (±6.1) kg/m2, respectively. Among patients with T2DM, the prevalence of MASLD, at-risk MASH and cirrhosis was 69.6%, 13.6% and 6.8%, respectively. Among patients with co-existing T2DM and obesity, the prevalence of MASLD, at-risk MASH and cirrhosis was 77.8%, 15.9% and 9.0%, respectively, and was higher than in participants without obesity (p < 0.0001, 0.0543 and 0.0128, respectively). CONCLUSION Among adults aged ≥50 years with T2DM, the prevalence of MASLD, at-risk MASH and cirrhosis is high, posing a significant risk for liver-related morbidity and mortality. Approximately 14% of patients with T2DM may be candidates for pharmacologic therapies specific to MASH-related fibrosis.
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Affiliation(s)
- Nikita Mittal
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA
| | - Harris Siddiqi
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA
| | - Egbert Madamba
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA
| | - Lisa Richards
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA
| | - Ricki Bettencourt
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA
| | - Veeral Ajmera
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, California, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology, University of California at San Diego, La Jolla, California, USA
- Division of Gastroenterology and Hepatology, University of California at San Diego, La Jolla, California, USA
- School of Public Health, University of California at San Diego, La Jolla, California, USA
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23
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Chan WK, Petta S, Noureddin M, Goh GBB, Wong VWS. Diagnosis and non-invasive assessment of MASLD in type 2 diabetes and obesity. Aliment Pharmacol Ther 2024; 59 Suppl 1:S23-S40. [PMID: 38813831 DOI: 10.1111/apt.17866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/24/2023] [Accepted: 12/26/2023] [Indexed: 05/31/2024]
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most common chronic liver disease and an important cause of cirrhosis and hepatocellular carcinoma. It is strongly associated with type 2 diabetes and obesity. Because of the huge number of patients at risk of MASLD, it is imperative to use non-invasive tests appropriately. AIMS To provide a narrative review on the performance and limitations of non-invasive tests, with a special emphasis on the impact of diabetes and obesity. METHODS We searched PubMed and Cochrane databases for articles published from 1990 to August 2023. RESULTS Abdominal ultrasonography remains the primary method to diagnose hepatic steatosis, while magnetic resonance imaging proton density fat fraction is currently the gold standard to quantify steatosis. Simple fibrosis scores such as the Fibrosis-4 index are well suited as initial assessment in primary care and non-hepatology settings to rule out advanced fibrosis and future risk of liver-related complications. However, because of its low positive predictive value, an abnormal test should be followed by specific blood (e.g. Enhanced Liver Fibrosis score) or imaging biomarkers (e.g. vibration-controlled transient elastography and magnetic resonance elastography) of fibrosis. Some non-invasive tests of fibrosis appear to be less accurate in patients with diabetes. Obesity also affects the performance of abdominal ultrasonography and transient elastography, whereas magnetic resonance imaging may not be feasible in some patients with severe obesity. CONCLUSIONS This article highlights issues surrounding the clinical application of non-invasive tests for MASLD in patients with type 2 diabetes and obesity.
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Affiliation(s)
- Wah-Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Salvatore Petta
- Sezione di Gastroenterologia, PROMISE, University of Palermo, Palermo, Italy
- Department of Economics and Statistics, University of Palermo, Palermo, Italy
| | - Mazen Noureddin
- Houston Methodist Hospital, Houston Research Institute, Houston, Texas, USA
| | - George Boon Bee Goh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore
- Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
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Chen G, Yu Y, Zhu Y, Nagashimada M, Wang Y, Nagata N, Xu L. Cenicriviroc Suppresses and Reverses Steatohepatitis by Regulating Macrophage Infiltration and M2 Polarization in Mice. Endocrinology 2024; 165:bqae069. [PMID: 38862137 DOI: 10.1210/endocr/bqae069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 06/04/2024] [Accepted: 06/10/2024] [Indexed: 06/13/2024]
Abstract
The inhibition of hepatic macrophage and Kupfer cell recruitment and activation is a potential strategy for treating insulin resistance and nonalcoholic steatohepatitis (NASH). Cenicriviroc (CVC), a dual C-C chemokine receptor 2 (CCR2) and CCR5 antagonist, has shown antifibrotic activity in murine models of NASH and has been evaluated in clinical trials on patients with NASH. This study investigated the effects of CVC on macrophage infiltration and polarization in a lipotoxic model of NASH. C57BL/6 mice were fed a high-cholesterol, high-fat (CL) diet or a CL diet containing 0.015% CVC (CL + CVC) for 12 weeks. Macrophage recruitment and activation were assayed by immunohistochemistry and flow cytometry. CVC supplementation attenuated excessive hepatic lipid accumulation and peroxidation and alleviated glucose intolerance and hyperinsulinemia in the mice that were fed the CL diet. Flow cytometry analysis revealed that compared with the CL group, mice fed the CL + CVC diet had fewer M1-like macrophages, more M2-like macrophages, and fewer T cell counts, indicating that CVC caused an M2-dominant shift of macrophages in the liver. Similarly, CVC decreased lipopolysaccharide-stimulated M1-like macrophage activation, whereas it increased interleukin-4-induced M2-type macrophage polarization in vitro. In addition, CVC attenuated hepatic fibrosis by repressing hepatic stellate cell activation. Lastly, CVC reversed insulin resistance as well as steatosis, inflammation, and fibrosis of the liver in mice with pre-existing NASH. In conclusion, CVC prevented and reversed hepatic steatosis, insulin resistance, inflammation, and fibrogenesis in the liver of NASH mice via M2 macrophage polarization.
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Affiliation(s)
- Guanliang Chen
- Department of Cell Metabolism and Nutrition, Graduate School of Medical Sciences, Kanazawa University, Kanazawa 920-8640, Ishikawa, Japan
- Jiangsu Carephar Pharmaceutical Co. Ltd., No.6 Xuzhuang Road, Xuanwu District, Nanjing 210014, Jiangsu, China
| | - Yanwen Yu
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, Zhejiang, China
| | - Yuqin Zhu
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, Zhejiang, China
| | - Mayumi Nagashimada
- Department of Cell Metabolism and Nutrition, Graduate School of Medical Sciences, Kanazawa University, Kanazawa 920-8640, Ishikawa, Japan
| | - Yajiao Wang
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, Zhejiang, China
| | - Naoto Nagata
- Department of Cell Metabolism and Nutrition, Graduate School of Medical Sciences, Kanazawa University, Kanazawa 920-8640, Ishikawa, Japan
| | - Liang Xu
- Department of Cell Metabolism and Nutrition, Graduate School of Medical Sciences, Kanazawa University, Kanazawa 920-8640, Ishikawa, Japan
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, Zhejiang, China
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25
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Yin JY, Yang TY, Yang BQ, Hou CX, Li JN, Li Y, Wang Q. FibroScan-aspartate transaminase: A superior non-invasive model for diagnosing high-risk metabolic dysfunction-associated steatohepatitis. World J Gastroenterol 2024; 30:2440-2453. [PMID: 38764767 PMCID: PMC11099389 DOI: 10.3748/wjg.v30.i18.2440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 03/19/2024] [Accepted: 04/25/2024] [Indexed: 05/11/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) with hepatic histological NAFLD activity score ≥ 4 and fibrosis stage F ≥ 2 is regarded as "at risk" non-alcoholic steatohepatitis (NASH). Based on an international consensus, NAFLD and NASH were renamed as metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH), respectively; hence, we introduced the term "high-risk MASH". Diagnostic values of seven non-invasive models, including FibroScan-aspartate transaminase (FAST), fibrosis-4 (FIB-4), aspartate transaminase to platelet ratio index (APRI), etc. for high-risk MASH have rarely been studied and compared in MASLD. AIM To assess the clinical value of seven non-invasive models as alternatives to liver biopsy for diagnosing high-risk MASH. METHODS A retrospective analysis was conducted on 309 patients diagnosed with NAFLD via liver biopsy at Beijing Ditan Hospital, between January 2012 and December 2020. After screening for MASLD and the exclusion criteria, 279 patients were included and categorized into high-risk and non-high-risk MASH groups. Utilizing threshold values of each model, sensitivity, specificity, positive predictive value (PPV), and negative predictive values (NPV), were calculated. Receiver operating characteristic curves were constructed to evaluate their diagnostic efficacy based on the area under the curve (AUROC). RESULTS MASLD diagnostic criteria were met by 99.4% patients with NAFLD. The MASLD population was analyzed in two cohorts: Overall population (279 patients) and the subgroup (117 patients) who underwent liver transient elastography (FibroScan). In the overall population, FIB-4 showed better diagnostic efficacy and higher PPV, with sensitivity, specificity, PPV, NPV, and AUROC of 26.9%, 95.2%, 73.5%, 72.2%, and 0.75. APRI, Forns index, and aspartate transaminase to alanine transaminase ratio (ARR) showed moderate diagnostic efficacy, whereas S index and gamma-glutamyl transpeptidase to platelet ratio (GPR) were relatively weaker. In the subgroup, FAST had the highest diagnostic efficacy, its sensitivity, specificity, PPV, NPV, and AUROC were 44.2%, 92.3%, 82.1%, 67.4%, and 0.82. The FIB-4 AUROC was 0.76. S index and GPR exhibited almost no diagnostic value for high-risk MASH. CONCLUSION FAST and FIB-4 could replace liver biopsy as more effectively diagnostic methods for high-risk MASH compared to APRI, Forns index, ARR, S index, and GPR; FAST is superior to FIB-4.
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Affiliation(s)
- Jing-Ya Yin
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Tian-Yuan Yang
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Bing-Qing Yang
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Chen-Xue Hou
- Department of Pathology, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Jun-Nan Li
- Beijing institute of infectious disease, Beijing 100015, China
| | - Yue Li
- Department of Pathology, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Qi Wang
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
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26
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Tincopa MA, Anstee QM, Loomba R. New and emerging treatments for metabolic dysfunction-associated steatohepatitis. Cell Metab 2024; 36:912-926. [PMID: 38608696 DOI: 10.1016/j.cmet.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/01/2024] [Accepted: 03/18/2024] [Indexed: 04/14/2024]
Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is a leading etiology of chronic liver disease worldwide, with increasing incidence and prevalence in the setting of the obesity epidemic. MASH is also a leading indication for liver transplantation, given its associated risk of progression to end-stage liver disease. A key challenge in managing MASH is the lack of approved pharmacotherapy. In its absence, lifestyle interventions with a focus on healthy nutrition and regular physical activity have been the cornerstone of therapy. Real-world efficacy and sustainability of lifestyle interventions are low, however. Pharmacotherapy development for MASH is emerging with promising data from several agents with different mechanisms of action (MOAs) in phase 3 clinical trials. In this review, we highlight ongoing challenges and potential solutions in drug development for MASH and provide an overview of available data from emerging therapies across multiple MOAs.
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Affiliation(s)
- Monica A Tincopa
- MASLD Research Center, Division of Gastroenterology and Hepatology, University of California, San Diego, La Jolla, CA 92103, USA
| | - Quentin M Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK; Newcastle NIHR Biomedical Research Center, Newcastle upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
| | - Rohit Loomba
- MASLD Research Center, Division of Gastroenterology and Hepatology, University of California, San Diego, La Jolla, CA 92103, USA; School of Public Health, University of California, San Diego, La Jolla, CA 92103, USA.
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27
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Fischer AM, Lechea N, Coxson HO. This Is What Metabolic Dysfunction-Associated Steatotic Liver Disease Looks Like: Potential of a Multiparametric MRI Protocol. Semin Liver Dis 2024; 44:226-238. [PMID: 38806158 DOI: 10.1055/a-2334-8525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prevalent condition with a broad spectrum defined by liver biopsy. This gold standard method evaluates three features: steatosis, activity (ballooning and lobular inflammation), and fibrosis, attributing them to certain grades or stages using a semiquantitative scoring system. However, liver biopsy is subject to numerous restrictions, creating an unmet need for a reliable and reproducible method for MASLD assessment, grading, and staging. Noninvasive imaging modalities, such as magnetic resonance imaging (MRI), offer the potential to assess quantitative liver parameters. This review aims to provide an overview of the available MRI techniques for the three criteria evaluated individually by liver histology. Here, we discuss the possibility of combining multiple MRI parameters to replace liver biopsy with a holistic, multiparametric MRI protocol. In conclusion, the development and implementation of such an approach could significantly improve the diagnosis and management of MASLD, reducing the need for invasive procedures and paving the way for more personalized treatment strategies.
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Affiliation(s)
- Anja M Fischer
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Nazim Lechea
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Harvey O Coxson
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
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28
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Savari F, Mard SA. Nonalcoholic steatohepatitis: A comprehensive updated review of risk factors, symptoms, and treatment. Heliyon 2024; 10:e28468. [PMID: 38689985 PMCID: PMC11059522 DOI: 10.1016/j.heliyon.2024.e28468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 03/17/2024] [Accepted: 03/19/2024] [Indexed: 05/02/2024] Open
Abstract
Non-alcoholic steatohepatitis (NASH) is a subtype of nonalcoholic fatty liver disease and a progressive and chronic liver disorder with a significant risk for the development of liver-related morbidity and mortality. The complex and multifaceted pathophysiology of NASH makes its management challenging. Early identification of symptoms and management of patients through lifestyle modification is essential to prevent the development of advanced liver disease. Despite the increasing prevalence of NASH, there is no FDA-approved treatment for this disease. Currently, medications targeting metabolic disease risk factors and some antifibrotic medications are used for NASH patients but are not sufficiently effective. The beneficial effects of different drugs and phytochemicals represent new avenues for the development of safer and more effective treatments for NASH. In this review, different risk factors, clinical symptoms, diagnostic methods of NASH, and current treatment strategies for the management of patients with NASH are reviewed.
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Affiliation(s)
- Feryal Savari
- Department of Medical Basic Sciences, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran
| | - Seyed Ali Mard
- Clinical Sciences Research Institute, Alimentary Tract Research Center, Department of Physiology, The School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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29
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Kounatidis D, Vallianou NG, Geladari E, Panoilia MP, Daskou A, Stratigou T, Karampela I, Tsilingiris D, Dalamaga M. NAFLD in the 21st Century: Current Knowledge Regarding Its Pathogenesis, Diagnosis and Therapeutics. Biomedicines 2024; 12:826. [PMID: 38672181 PMCID: PMC11048710 DOI: 10.3390/biomedicines12040826] [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: 03/19/2024] [Revised: 03/31/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a major public health issue worldwide. It is the most common liver disease in Western countries, andits global prevalence is estimated to be up to 35%. However, its diagnosis may be elusive, because liver biopsy is relatively rarely performed and usually only in advanced stages of the disease. Therefore, several non-invasive scores may be applied to more easily diagnose and monitor NAFLD. In this review, we discuss the various biomarkers and imaging scores that could be useful in diagnosing and managing NAFLD. Despite the fact that general measures, such as abstinence from alcohol and modulation of other cardiovascular disease risk factors, should be applied, the mainstay of prevention and management is weight loss. Bariatric surgery may be suggested as a means to confront NAFLD. In addition, pharmacological treatment with GLP-1 analogues or the GIP agonist tirzepatide may be advisable. In this review, we focus on the utility of GLP-1 analogues and GIP agonists in lowering body weight, their pharmaceutical potential, and their safety profile, as already evidenced inanimal and human studies. We also elaborate on other options, such as the use of vitamin E, probiotics, especially next-generation probiotics, and prebiotics in this context. Finally, we explore future perspectives regarding the administration of GLP-1 analogues, GIP agonists, and probiotics/prebiotics as a means to prevent and combat NAFLD. The newest drugs pegozafermin and resmetiron, which seem to be very promising, arealso discussed.
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Affiliation(s)
- Dimitris Kounatidis
- Department of Internal Medicine, Hippokration General Hospital, 114 Vassilissis Sofias str, 11527 Athens, Greece;
| | - Natalia G. Vallianou
- First Department of Internal Medicine, Sismanogleio General Hospital, 1 Sismanogliou str, 15126 Athens, Greece
| | - Eleni Geladari
- Department of Internal Medicine, Evangelismos General Hospital, 45–47Ipsilantou str, 10676 Athens, Greece
| | - Maria Paraskevi Panoilia
- First Department of Internal Medicine, Sismanogleio General Hospital, 1 Sismanogliou str, 15126 Athens, Greece
| | - Anna Daskou
- First Department of Internal Medicine, Sismanogleio General Hospital, 1 Sismanogliou str, 15126 Athens, Greece
| | - Theodora Stratigou
- Department of Endocrinology and Metabolism, Evangelismos General Hospital, 45–47Ipsilantou str, 10676 Athens, Greece
| | - Irene Karampela
- 2nd Department of Critical Care, Medical School, Attikon General University Hospital, University of Athens, 1 Rimini str., 12461 Athens, Greece
| | - Dimitrios Tsilingiris
- First Department of Internal Medicine, University Hospital of Alexandroupolis, Demokritus University of Thrace, 68100 Alexandroupoli, Greece
| | - Maria Dalamaga
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias str., 11527 Athens, Greece;
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30
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Maya-Miles D, Ampuero J, Martí-Aguado D, Conthe A, Gallego-Durán R. MASLD biomarkers: Are we facing a new era? GASTROENTEROLOGIA Y HEPATOLOGIA 2024; 47:393-396. [PMID: 38355096 DOI: 10.1016/j.gastrohep.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/16/2024]
Affiliation(s)
- Douglas Maya-Miles
- SeLiver Group, Instituto de Biomedicina de Sevilla/CSIC/Universidad de Sevilla, Sevilla, Spain; Hepatic and Digestive Diseases Networking Biomedical Research Centre (CIBERehd), Madrid, Spain
| | - Javier Ampuero
- SeLiver Group, Instituto de Biomedicina de Sevilla/CSIC/Universidad de Sevilla, Sevilla, Spain; Hepatic and Digestive Diseases Networking Biomedical Research Centre (CIBERehd), Madrid, Spain; Digestive Diseases Unit, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - David Martí-Aguado
- Servicio de Aparato Digestivo, Hospital Clínico Universitario de Valencia, INCLIVA Instituto de Investigación Sanitaria, Valencia, Spain
| | - Andrés Conthe
- Hepatic and Digestive Diseases Networking Biomedical Research Centre (CIBERehd), Madrid, Spain; Sección de Hepatología, Servicio de Aparato Digestivo, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Rocío Gallego-Durán
- SeLiver Group, Instituto de Biomedicina de Sevilla/CSIC/Universidad de Sevilla, Sevilla, Spain; Hepatic and Digestive Diseases Networking Biomedical Research Centre (CIBERehd), Madrid, Spain.
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31
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Pennisi G, Enea M, Romero-Gomez M, Bugianesi E, Wai-Sun Wong V, Fracanzani AL, de Ledinghen V, George J, Berzigotti A, Viganò M, Sebastiani G, Cannella R, Delamarre A, Di Maria G, Lange NF, Tulone A, Di Marco V, Cammà C, Petta S. Risk of liver-related events in metabolic dysfunction-associated steatohepatitis (MASH) patients with fibrosis: A comparative analysis of various risk stratification criteria. Hepatology 2024; 79:912-925. [PMID: 37796137 DOI: 10.1097/hep.0000000000000616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/05/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND AND AIMS International regulatory agencies recommend testing drug therapy for patients with noncirrhotic high-risk metabolic dysfunction-associated steatohepatitis (MASH) because they are at risk of liver-related events (LRE). We aimed to compare the risk of LRE in patients with MASLD stratified for F2-F4 fibrosis and MASH. APPROACH AND RESULTS Overall, 1938 consecutive patients with biopsy-proven MASLD were enrolled. High-risk MASH was defined as MASH with F2-F4 fibrosis. LSM was measured by transient elastography. LRE were recorded during follow-up. Cox multivariate models were used to assess the association between high-risk MASH or F2-F4 fibrosis without MASH, of LSM (≥8 or ≥10 Kpa), and of AGILE 3+ with LRE. The diagnostic performance for the prediction of LRE was assessed using the area under the receiver operating characteristic curves. The observed 5-year actuarial rate of LRE was 0.4%, 0.2%, 5.1%, and 6.6% in patients with F0-F1 fibrosis without MASH, F0-F1 fibrosis with MASH, F2-F4 fibrosis without MASH, and high-risk MASH, respectively. At multivariate Cox regression analysis using F0-F1 fibrosis without MASH as a reference, both F2-F4 fibrosis without MASH [adjusted HR (aHR) 9.96] and high-risk MASH (aHR 10.14) were associated with LRE. In the 1074 patients with available LSM, LSM ≥ 10 kPa (aHR 6.31) or AGILE 3+ > 0.67 (aHR 27.45) independently predicted the development of LRE and had similarly acceptable 5-year area under the receiver operating characteristic to high-risk MASH and F2-F4 fibrosis (0.772, 0.818, 0.739, and 0.780, respectively). CONCLUSIONS The risk of LRE is similar in patients with high-risk MASH and with F2-F4 fibrosis without MASH. The use of LSM ≥ 10 kPa or AGILE 3+ > 0.67 could be an accurate option to identify patients with MASLD worthy to be included in clinical trials.
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Affiliation(s)
- Grazia Pennisi
- Dipartimento Di Promozione Della Salute, Section of Gastroenterology and Hepatology, Materno Infantile, Medicina Interna e Specialistica Di Eccellenza (PROMISE), University of Palermo, Italy
| | - Marco Enea
- Dipartimento Di Promozione Della Salute, Materno Infantile, Medicina Interna e Specialistica Di Eccellenza (PROMISE), University of Palermo, Italy
| | - Manuel Romero-Gomez
- Digestive Diseases Unit, Hospital Universitario Virgen del Rocío, Biomedical Research Networking Center in Hepatic and Digestive Diseases, Instituto de Biomedicina de Sevilla, University of Seville, Seville, Spain
| | - Elisabetta Bugianesi
- Department of Medical Sciences, Division of Gastroenterology, University of Torino, Turin, Italy
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Anna Ludovica Fracanzani
- Department of Pathophysiology and Transplantation, Ca' Granda IRCCS Foundation, Policlinico Hospital, University of Milan, Milan, Italy
| | - Victor de Ledinghen
- Centre d'Investigation de la Fibrose Hépatique, Hôpital Haut-Lévêque, Bordeaux University Hospital, Pessac, & INSERM U1053, Université de Bordeaux, France
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Annalisa Berzigotti
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Mauro Viganò
- Hepatology Unit, Ospedale San Giuseppe, University of Milan, Milan, Italy
| | - Giada Sebastiani
- Division of Gastroenterology and Hepatology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Roberto Cannella
- Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata (BIND), University of Palermo, Italy
| | - Adèle Delamarre
- Centre d'Investigation de la Fibrose Hépatique, Hôpital Haut-Lévêque, Bordeaux University Hospital, Pessac, & INSERM U1053, Université de Bordeaux, France
| | - Gabriele Di Maria
- Dipartimento Di Promozione Della Salute, Section of Gastroenterology and Hepatology, Materno Infantile, Medicina Interna e Specialistica Di Eccellenza (PROMISE), University of Palermo, Italy
| | - Naomi F Lange
- Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Adele Tulone
- Dipartimento Di Promozione Della Salute, Section of Gastroenterology and Hepatology, Materno Infantile, Medicina Interna e Specialistica Di Eccellenza (PROMISE), University of Palermo, Italy
| | - Vito Di Marco
- Dipartimento Di Promozione Della Salute, Section of Gastroenterology and Hepatology, Materno Infantile, Medicina Interna e Specialistica Di Eccellenza (PROMISE), University of Palermo, Italy
| | - Calogero Cammà
- Dipartimento Di Promozione Della Salute, Section of Gastroenterology and Hepatology, Materno Infantile, Medicina Interna e Specialistica Di Eccellenza (PROMISE), University of Palermo, Italy
| | - Salvatore Petta
- Dipartimento Di Promozione Della Salute, Section of Gastroenterology and Hepatology, Materno Infantile, Medicina Interna e Specialistica Di Eccellenza (PROMISE), University of Palermo, Italy
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Zoncapè M, Liguori A, Tsochatzis EA. Non-invasive testing and risk-stratification in patients with MASLD. Eur J Intern Med 2024; 122:11-19. [PMID: 38246813 DOI: 10.1016/j.ejim.2024.01.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/12/2024] [Accepted: 01/14/2024] [Indexed: 01/23/2024]
Abstract
The development and validation of non-invasive fibrosis tests (NITs) has changed clinical practice in Hepatology over the last 15 years. Metabolic associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is the most prevalent liver disease in western countries, with up to a third of the unselected adult population affected. In this article, we review the use of NITs in the diagnosis and staging of MASLD. We discuss their use in the diagnosis of steatosis, steatohepatitis and fibrosis and critically evaluate recently published data. These NITs include a variety of approaches, such as serum markers like FIB-4, pro-C3 and ELF, imaging techniques like Fibroscan® and MRE, and combined scores like Agile 3+ and Agile 4, offering a range of options for healthcare providers. Furthermore, these non-invasive tests also serve as valuable prognostic tools, allowing for better risk assessment and improved patient management, particularly in predicting liver-related events and overall mortality.
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Affiliation(s)
- Mirko Zoncapè
- Sheila Sherlock Liver Unit, Royal Free Hospital, London, UK; UCL Institute for Liver and Digestive Health, University College London, UK; Liver Unit, Department of Medicine, University of Verona and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Antonio Liguori
- Sheila Sherlock Liver Unit, Royal Free Hospital, London, UK; UCL Institute for Liver and Digestive Health, University College London, UK; Medical and Surgical Sciences Department, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Università Cattolica del Sacro Cuore, Rome 00168, Italy
| | - Emmanuel A Tsochatzis
- Sheila Sherlock Liver Unit, Royal Free Hospital, London, UK; UCL Institute for Liver and Digestive Health, University College London, UK.
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Alkhouri N, Harisinghani M. Letter to the Editor: Comparing quantitative MRI technologies in steatotic liver disease. Hepatology 2024; 79:E119-E120. [PMID: 37939217 DOI: 10.1097/hep.0000000000000676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 10/09/2023] [Indexed: 11/10/2023]
Affiliation(s)
- Naim Alkhouri
- Hepatology Division, Arizona Liver Health, Chandler, Arizona, USA
| | - Mukesh Harisinghani
- Abdominal Imaging Department, Massachusetts General Hospital, Boston, Massachusetts, USA
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34
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Wang JL, Jiang SW, Hu AR, Zhou AW, Hu T, Li HS, Fan Y, Lin K. Non-invasive diagnosis of non-alcoholic fatty liver disease: Current status and future perspective. Heliyon 2024; 10:e27325. [PMID: 38449611 PMCID: PMC10915413 DOI: 10.1016/j.heliyon.2024.e27325] [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: 08/24/2023] [Revised: 02/15/2024] [Accepted: 02/27/2024] [Indexed: 03/08/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease throughout the world. Hepatocellular carcinoma (HCC) and liver cirrhosis can result from nonalcoholic steatohepatitis (NASH), the severe stage of NAFLD progression. By some estimates, NAFLD affects almost one-third of the world's population, which is completely new and serious public health issue. Unfortunately, NAFLD is diagnosed by exclusion, and the gold standard for identifying NAFLD/NASH and reliably measuring liver fibrosis remains liver biopsy, which is an invasive, costly, time-consuming procedure and involves variable inter-observer diagnosis. With the progress of omics and imaging techniques, numerous non-invasive serological assays have been generated and developed. On the basis of these developments, non-invasive biomarkers and imaging techniques have been combined to increase diagnostic accuracy. This review provides information for the diagnosis and assessment of NAFLD/NASH in clinical practice going forward and may assist the clinician in making an early and accurate diagnosis and in proposing a cost-effective patient surveillance. We discuss newly identified and validated non-invasive diagnostic methods from biopsy-confirmed NAFLD patient studies and their implementation in clinical practice, encompassing NAFLD/NASH diagnosis and differentiation, fibrosis assessment, and disease progression monitoring. A series of tests, including 20-carboxy arachidonic acid (20-COOH AA) and 13,14-dihydro-15-keto prostaglandin D2 (dhk PGD2), were found to be potentially the most accurate non-invasive tests for diagnosing NAFLD. Additionally, the Three-dimensional magnetic resonance imaging (3D-MRE), combination of the FM-fibro index and Liver stiffness measurement (FM-fibro LSM index) and the machine learning algorithm (MLA) tests are more accurate than other tests in assessing liver fibrosis. However, it is essential to use bigger cohort studies to corroborate a number of non-invasive diagnostic tests with extremely elevated diagnostic values.
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Affiliation(s)
- Jia-Lan Wang
- Graduate School of Wenzhou Medical University, Ningbo No. 2 Hospital, Ningbo, 315020, Zhejiang Province, China
| | - Su-Wen Jiang
- Precision Diagnosis and Treatment Center of Liver Diseases, Ningbo No. 2 Hospital, Ningbo, 315020, Zhejiang Province, China
| | - Ai-Rong Hu
- Precision Diagnosis and Treatment Center of Liver Diseases, Ningbo No. 2 Hospital, Ningbo, 315020, Zhejiang Province, China
| | - Ai-Wu Zhou
- Precision Diagnosis and Treatment Center of Liver Diseases, Ningbo No. 2 Hospital, Ningbo, 315020, Zhejiang Province, China
| | - Ting Hu
- Precision Diagnosis and Treatment Center of Liver Diseases, Ningbo No. 2 Hospital, Ningbo, 315020, Zhejiang Province, China
| | - Hong-Shan Li
- Precision Diagnosis and Treatment Center of Liver Diseases, Ningbo No. 2 Hospital, Ningbo, 315020, Zhejiang Province, China
| | - Ying Fan
- School of Medicine, Shaoxing University, Shaoxing, 31200, Zhejiang Province, China
| | - Ken Lin
- School of Medicine, Ningbo University, Ningbo, 315211, Zhejiang Province, China
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Moura Cunha G, Fan B, Navin PJ, Olivié D, Venkatesh SK, Ehman RL, Sirlin CB, Tang A. Interpretation, Reporting, and Clinical Applications of Liver MR Elastography. Radiology 2024; 310:e231220. [PMID: 38470236 PMCID: PMC10982829 DOI: 10.1148/radiol.231220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 11/21/2023] [Accepted: 11/24/2023] [Indexed: 03/13/2024]
Abstract
Chronic liver disease is highly prevalent and often leads to fibrosis or cirrhosis and complications such as liver failure and hepatocellular carcinoma. The diagnosis and staging of liver fibrosis is crucial to determine management and mitigate complications. Liver biopsy for histologic assessment has limitations such as sampling bias and high interreader variability that reduce precision, which is particularly challenging in longitudinal monitoring. MR elastography (MRE) is considered the most accurate noninvasive technique for diagnosing and staging liver fibrosis. In MRE, low-frequency vibrations are applied to the abdomen, and the propagation of shear waves through the liver is analyzed to measure liver stiffness, a biomarker for the detection and staging of liver fibrosis. As MRE has become more widely used in clinical care and research, different contexts of use have emerged. This review focuses on the latest developments in the use of MRE for the assessment of liver fibrosis; provides guidance for image acquisition and interpretation; summarizes diagnostic performance, along with thresholds for diagnosis and staging of liver fibrosis; discusses current and emerging clinical applications; and describes the latest technical developments.
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Affiliation(s)
- Guilherme Moura Cunha
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Boyan Fan
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Patrick J. Navin
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Damien Olivié
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Sudhakar K. Venkatesh
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Richard L. Ehman
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Claude B. Sirlin
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - An Tang
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
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An ZM, Liu QH, Ye XJ, Zhang Q, Pei HF, Xin X, Yuan J, Huang Q, Liu K, Lu F, Yan ZH, Zhao Y, Hu YY, Zheng MH, Feng Q. A Novel Score Based on Controlled Attenuation Parameter Accurately Predicts Hepatic Steatosis in Individuals With Metabolic Dysfunction Associated Steatotic Liver Disease: A Derivation and Independent Validation Study. Clin Transl Gastroenterol 2024; 15:e00680. [PMID: 38240390 PMCID: PMC10962889 DOI: 10.14309/ctg.0000000000000680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/10/2024] [Indexed: 03/27/2024] Open
Abstract
INTRODUCTION In metabolic dysfunction-associated steatotic liver disease, the diagnostic efficacy of controlled attenuation parameter (CAP) was not very accurate in evaluating liver fat content. The aim of this study was to develop a score, based on CAP and conventional clinical parameters, to improve the diagnostic performance of CAP regarding liver fat content. METHODS A total of 373 participants from 2 independent Chinese cohorts were included and divided into derivation (n = 191), internal validation (n = 75), and external validation (n = 107) cohorts. Based on the significant difference index between the 2 groups defined by the magnetic resonance imaging-proton density fat fraction (MRI-PDFF) in derivation cohort, the optimal model (CAP-BMI-AST score [CBST]) was screened by the number of parameters and the area under the receiver operating characteristic curve (AUROC). In the internal and external validation cohorts, the AUROC and corresponding 95% confidence intervals (CIs) were used to compare the diagnostic performance of CBST with that of CAP. RESULTS We constructed the CBST = -14.27962 + 0.05431 × CAP - 0.14266 × body mass index + 0.01715 × aspartate aminotransferase. When MRI-PDFF was ≥20%, ≥10%, and ≥5%, the AUROC for CBST was 0.77 (95% CI 0.70-0.83), 0.89 (95% CI 0.83-0.94), and 0.93 (95% CI 0.88-0.98), which was higher than that for CAP respectively. In the internal validation cohort, the AUROC for CBST was 0.80 (95% CI 0.70-0.90), 0.95 (95% CI 0.91-1.00), and 0.98 (95% CI 0.94-1.00). The optimal thresholds of CBST were -0.5345, -1.7404, and -1.9959 for detecting MRI-PDFF ≥20%, ≥10%, and ≥5%, respectively. DISCUSSION The CBST score can accurately evaluate liver steatosis and is superior to the CAP.
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Affiliation(s)
- Zi-Ming An
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
| | - Qiao-Hong Liu
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xin-Jian Ye
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Qian Zhang
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hua-Fu Pei
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xin Xin
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jie Yuan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qian Huang
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Kun Liu
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Fang Lu
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhi-Han Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yu Zhao
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yi-Yang Hu
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
| | - Ming-Hua Zheng
- MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Qin Feng
- Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
- Key Laboratory of Liver and Kidney Diseases, Shanghai University of Traditional Chinese Medicine, Ministry of Education, Shanghai, China
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Lai JCT, Wong VWS. Using NIS2+™ to identify at-risk MASH in clinical trials. J Hepatol 2024; 80:181-183. [PMID: 38013143 DOI: 10.1016/j.jhep.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 11/20/2023] [Accepted: 11/20/2023] [Indexed: 11/29/2023]
Affiliation(s)
- Jimmy Che-To Lai
- Medical Data Analytic Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Vincent Wai-Sun Wong
- Medical Data Analytic Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
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Gupta U, Ruli T, Buttar D, Shoreibah M, Gray M. Metabolic dysfunction associated steatotic liver disease: Current practice, screening guidelines and management in the primary care setting. Am J Med Sci 2024; 367:77-88. [PMID: 37967750 DOI: 10.1016/j.amjms.2023.11.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/29/2023] [Accepted: 11/10/2023] [Indexed: 11/17/2023]
Abstract
Metabolic dysfunction associated steatotic liver disease, previously known as non-alcoholic fatty liver disease, is the most common cause of chronic liver disease in the United States with rapidly rising prevalence. There have been significant changes recently in the field with screening now recommended for patients at risk for significant liver fibrosis in primary care and endocrine settings, along with clear guidance for management of metabolic comorbidities and changes in nomenclature. This paper serves as a summary of recent guidance for the primary care physician focusing on identifying appropriate patients for screening, selecting suitable screening modalities, and determining when referral to specialty care is necessary. The hope is that providers will shift away from past practices of utilizing liver tests alone as a screening tool and shift towards fibrosis screening in patients at risk for significant fibrosis. This culture change will allow for earlier identification of patients at risk for end stage liver disease and serious liver related complications, and overall improved patient care.
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Affiliation(s)
- Udita Gupta
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - Thomas Ruli
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Danyaal Buttar
- Department of Medicine, Campbell University School of Medicine, NC, USA
| | - Mohamed Shoreibah
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Meagan Gray
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Alabama at Birmingham, Birmingham, AL, USA
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Castagneto-Gissey L, Bornstein SR, Mingrone G. Can liquid biopsies for MASH help increase the penetration of metabolic surgery? A narrative review. Metabolism 2024; 151:155721. [PMID: 37923007 DOI: 10.1016/j.metabol.2023.155721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/30/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023]
Abstract
This narrative review highlights current evidence on non-invasive tests to predict the presence or absence as well as the severity of metabolic dysfunction-associated steatohepatitis (MASH) and liver fibrosis. Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common condition characterized by fat accumulation in the liver that affects 32 % of the world population. The most severe form of MASLD is MASH in which hepatocyte ballooning and inflammation are present together with steatosis; MASH is often associated with liver fibrosis. MASH diagnosis is determined by invasive liver biopsy. Hence, there is a critical need for non-invasive MASH tests. Plasma biomarkers for MASH diagnosis generally have low sensitivity (62-66 %), and specificity (78-82 %). Monocyte levels of Perilipin2 (PLIN2) predict MASH with an accuracy of 92-93 %, and sensitivity and specificity of 90-95 % and 88-100 %, respectively. This liquid biopsy test can facilitate the study of MASH prevalence in general populations and also monitor the effects of lifestyle, surgical, and pharmacological interventions. Without any FDA-approved MASH therapeutic, and with metabolic surgery markedly surpassing the efficacy of lifestyle modification, an accurate and reliable liquid biopsy could help more people choose surgery as a treatment for MASH.
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Affiliation(s)
| | - Stefan R Bornstein
- Department of Medicine III, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden, Germany; Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, United Kingdom
| | - Geltrude Mingrone
- Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, United Kingdom; Università Cattolica del Sacro Cuore, Rome, Italy; Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
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Ratziu V, Harrison SA, Hajji Y, Magnanensi J, Petit S, Majd Z, Delecroix E, Rosenquist C, Hum D, Staels B, Anstee QM, Sanyal AJ. NIS2+ TM as a screening tool to optimize patient selection in metabolic dysfunction-associated steatohepatitis clinical trials. J Hepatol 2024; 80:209-219. [PMID: 38061448 DOI: 10.1016/j.jhep.2023.10.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 09/25/2023] [Accepted: 10/23/2023] [Indexed: 01/28/2024]
Abstract
BACKGROUND & AIMS Strategies to reduce liver biopsy (LB) screen failures through better patient selection are needed for clinical trials. Standard fibrosis biomarkers were not derived to detect "at-risk" metabolic dysfunction-associated steatohepatitis (MASH; MASH with metabolic dysfunction-associated steatotic liver disease score ≥4 and fibrosis stage ≥2). We compared the performance of screening pathways that incorporate NIS2+™, an optimized version of the blood-based NIS4® technology designed to identify at-risk MASH, with those incorporating fibrosis (FIB)-4 within the RESOLVE-IT clinical trial (NCT02704403), aiming for optimized selection of patients for LB. METHODS A retrospective simulation analysis was conducted in the RESOLVE-IT screening pathway (RSP) cohort. LB failure rate (LBFR), number of patients needed to screen, and overall cost estimations of different pathways were calculated for a range of NIS2+™ and FIB-4 cut-offs and compared with those of the RSP, which relied on investigators' local practices. An analysis of potential recruitment bias based on histology, sex, age, or comorbidities was performed. RESULTS The analysis cohort included 1,929 patients, 765 (40%) with at-risk MASH. The NIS2+™ pathway resulted in a significantly lower LBFR (39%) compared with the FIB-4 pathway (58%) or the RSP (60%) when using cost-optimized cut-offs (NIS2+™, 0.53; FIB-4, 0.58). For every 1,000 inclusions, NIS2+™ significantly reduced unnecessary LBs (632 vs. 1,522; -58%) and screening costs (US$12.7 million vs. US$15.0 million) vs. the RSP, while the number of patients needed to screen increased moderately (3,220 to 4,033). NIS2+™ alone is better than FIB-4 alone or combined with FIB-4. CONCLUSIONS This analysis demonstrated that patient selection for LB using NIS2+™ significantly reduced unnecessary biopsies and screening costs, which could greatly improve the feasibility of MASH clinical trials. IMPACT AND IMPLICATIONS Simple and accurate non-invasive strategies to optimize the selection of patients who should be referred for liver biopsy for inclusion in MASH clinical trials is critical to reduce the high liver biopsy failure rates. While the use of the Fibrosis-4 index alone did not lead to a significant improvement of the screening process, selecting patients using NIS2+™, a recently developed optimization of the NIS4® technology for the detection of at-risk MASH, showed improved performance by simultaneously reducing liver biopsy failure rates and the overall cost of the trial, while maintaining the number of patients needed to screen at a manageable level and not generating any bias in included patients' characteristics. This makes NIS2+™ an accurate and reliable screening tool that could improve the recruitment of patients in future MASH clinical trials, and would lead to increased patient comfort and security, ensuring timely and cost-efficient trial completion.
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Affiliation(s)
- Vlad Ratziu
- Sorbonne Université, Institute for Cardiometabolism and Nutrition, Hôpital Pitié-Salpêtrière, INSERM UMRS 1138 CRC, Paris, France
| | - Stephen A Harrison
- Summit Clinical Research, San Antonio, TX, USA; Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | | | | | | | | | | | | | | | - Bart Staels
- Université de Lille, INSERM, CHU Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France
| | - Quentin M Anstee
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK; Newcastle NIHR Biomedical Research Centre, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Freeman Hospital, Newcastle Upon Tyne, UK
| | - Arun J Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
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Noureddin M, Harrison SA, Alkhouri N. MEFIB vs. MAST and FAST: Not a competition but useful tools. J Hepatol 2024; 80:e35-e36. [PMID: 36370950 DOI: 10.1016/j.jhep.2022.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/15/2022] [Accepted: 10/17/2022] [Indexed: 12/04/2022]
Affiliation(s)
- Mazen Noureddin
- Houston Methodist Hospital, Houston, Texas, United States; Houston Research Institute, Houston, Texas, United States.
| | - Stephen A Harrison
- Pinnacle Research, San Antonio, Texas, United Kingdom; Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Naim Alkhouri
- Arizona Liver Health, Phoenix, Arizona, United States
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Marti-Aguado D, Arnouk J, Liang JX, Lara-Romero C, Behari J, Furlan A, Jimenez-Pastor A, Ten-Esteve A, Alfaro-Cervello C, Bauza M, Gallen-Peris A, Gimeno-Torres M, Merino-Murgui V, Perez-Girbes A, Benlloch S, Pérez-Rojas J, Puglia V, Ferrández-Izquierdo A, Aguilera V, Giesteira B, França M, Monton C, Escudero-García D, Alberich-Bayarri Á, Serra MA, Bataller R, Romero-Gomez M, Marti-Bonmati L. Development and validation of an image biomarker to identify metabolic dysfunction associated steatohepatitis: MR-MASH score. Liver Int 2024; 44:202-213. [PMID: 37904633 DOI: 10.1111/liv.15766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/11/2023] [Accepted: 10/08/2023] [Indexed: 11/01/2023]
Abstract
BACKGROUND AND AIMS Diagnosis of metabolic dysfunction-associated steatohepatitis (MASH) requires histology. In this study, a magnetic resonance imaging (MRI) score was developed and validated to identify MASH in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Secondarily, a screening strategy for MASH diagnosis was investigated. METHODS This prospective multicentre study included 317 patients with biopsy-proven MASLD and contemporaneous MRI. The discovery cohort (Spain, Portugal) included 194 patients. NAFLD activity score (NAS) and fibrosis were assessed with the NASH-CRN histologic system. MASH was defined by the presence of steatosis, lobular inflammation, and ballooning, with NAS ≥4 with or without fibrosis. An MRI-based composite biomarker of Proton Density Fat Fraction and waist circumference (MR-MASH score) was developed. Findings were afterwards validated in an independent cohort (United States, Spain) with different MRI protocols. RESULTS In the derivation cohort, 51% (n = 99) had MASH. The MR-MASH score identified MASH with an AUC = .88 (95% CI .83-.93) and strongly correlated with NAS (r = .69). The MRI score lower cut-off corresponded to 88% sensitivity with 86% NPV, while the upper cut-off corresponded to 92% specificity with 87% PPV. MR-MASH was validated with an AUC = .86 (95% CI .77-.92), 91% sensitivity (lower cut-off) and 87% specificity (upper cut-off). A two-step screening strategy with sequential MR-MASH examination performed in patients with indeterminate-high FIB-4 or transient elastography showed an 83-84% PPV to identify MASH. The AUC of MR-MASH was significantly higher than that of the FAST score (p < .001). CONCLUSIONS The MR-MASH score has clinical utility in the identification and management of patients with MASH at risk of progression.
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Affiliation(s)
- David Marti-Aguado
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
| | - Joud Arnouk
- Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Jia-Xu Liang
- Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain
- Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain
| | - Carmen Lara-Romero
- Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain
- Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain
| | - Jaideep Behari
- Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Alessandro Furlan
- Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Ana Jimenez-Pastor
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain
| | - Amadeo Ten-Esteve
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
| | - Clara Alfaro-Cervello
- Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Mónica Bauza
- Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Ana Gallen-Peris
- Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain
| | - Marta Gimeno-Torres
- Digestive Disease Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Víctor Merino-Murgui
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Alexandre Perez-Girbes
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Radiology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Salvador Benlloch
- Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain
- CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain
| | - Judith Pérez-Rojas
- Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Víctor Puglia
- Pathology Department, Hospital Arnau de Vilanova, Valencia, Spain
| | - Antonio Ferrández-Izquierdo
- Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Victoria Aguilera
- CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain
- Hepatology and Liver Transplantation Unit, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Bruno Giesteira
- Radiology Department, Centro Hospitalar Universitário do Porto, Instituto de Ciências Biomédicas de Abel Salazar, University of Porto, Porto, Portugal
| | - Manuela França
- Radiology Department, Centro Hospitalar Universitário do Porto, Instituto de Ciências Biomédicas de Abel Salazar, University of Porto, Porto, Portugal
| | - Cristina Monton
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Desamparados Escudero-García
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ángel Alberich-Bayarri
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain
| | - Miguel A Serra
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ramon Bataller
- Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Manuel Romero-Gomez
- Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain
- Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain
- University of Seville, Seville, Spain
| | - Luis Marti-Bonmati
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Radiology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
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Noureddin M, Truong E, Mayo R, Martínez-Arranz I, Mincholé I, Banales JM, Arrese M, Cusi K, Arias-Loste MT, Bruha R, Romero-Gómez M, Iruzubieta P, Aller R, Ampuero J, Calleja JL, Ibañez-Samaniego L, Aspichueta P, Martín-Duce A, Kushner T, Ortiz P, Harrison SA, Anstee QM, Crespo J, Mato JM, Sanyal AJ. Serum identification of at-risk MASH: The metabolomics-advanced steatohepatitis fibrosis score (MASEF). Hepatology 2024; 79:135-148. [PMID: 37505221 PMCID: PMC10718221 DOI: 10.1097/hep.0000000000000542] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 07/08/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Early identification of those with NAFLD activity score ≥ 4 and significant fibrosis (≥F2) or at-risk metabolic dysfunction-associated steatohepatitis (MASH) is a priority as these patients are at increased risk for disease progression and may benefit from therapies. We developed and validated a highly specific metabolomics-driven score to identify at-risk MASH. METHODS We included derivation (n = 790) and validation (n = 565) cohorts from international tertiary centers. Patients underwent laboratory assessment and liver biopsy for metabolic dysfunction-associated steatotic liver disease. Based on 12 lipids, body mass index, aspartate aminotransferase, and alanine aminotransferase, the MASEF score was developed to identify at-risk MASH and compared to the FibroScan-AST (FAST) score. We further compared the performance of a FIB-4 + MASEF algorithm to that of FIB-4 + liver stiffness measurements (LSM) by vibration-controlled transient elastography (VCTE). RESULTS The diagnostic performance of the MASEF score showed an area under the receiver-operating characteristic curve, sensitivity, specificity, and positive and negative predictive values of 0.76 (95% CI 0.72-0.79), 0.69, 0.74, 0.53, and 0.85 in the derivation cohort, and 0.79 (95% CI 0.75-0.83), 0.78, 0.65, 0.48, and 0.88 in the validation cohort, while FibroScan-AST performance in the validation cohort was 0.74 (95% CI 0.68-0.79; p = 0.064), 0.58, 0.79, 0.67, and 0.73, respectively. FIB-4+MASEF showed similar overall performance compared with FIB-4 + LSM by VCTE ( p = 0.69) to identify at-risk MASH. CONCLUSION MASEF is a promising diagnostic tool for the assessment of at-risk MASH. It could be used alternatively to LSM by VCTE in the algorithm that is currently recommended by several guidance publications.
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Affiliation(s)
- Mazen Noureddin
- Houston Methodist Hospital, Houston Research Institute Houston, Texas, USA
- Houston Research Institute, Houston, Texas, USA
| | - Emily Truong
- Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | | | | | - Jesus M. Banales
- Biodonostia Research Institute, Donostia University Hospital, University of the Basque Country (UPV-EHU), CIBERehd, IKERBASQUE, Donostia, Spain
- Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain
| | - Marco Arrese
- Department of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Kenneth Cusi
- University of Florida, Gainesville, Florida, USA
| | | | - Radan Bruha
- General University Hospital and the First Faculty of Medicine, Charles University, Prague, Czech Republic
| | | | - Paula Iruzubieta
- Marqués de Valdecilla University Hospital, Cantabria University, IDIVAL, Santander, Spain
| | - Rocio Aller
- Clinic University Hospital, University of Valladolid, Valladolid, Spain
| | | | | | | | - Patricia Aspichueta
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Leioa, Spain
- Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Instituto de Salud Carlos III), Madrid, Spain
| | | | - Tatyana Kushner
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | | | | | - Quentin M. Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Javier Crespo
- Marqués de Valdecilla University Hospital, Cantabria University, IDIVAL, Santander, Spain
| | - José M. Mato
- National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Instituto de Salud Carlos III), Madrid, Spain
- CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Derio, Spain
| | - Arun J. Sanyal
- Virginia Commonwealth University Medical Center, Richmond, Virginia, USA
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Lin H, Qiu S, Yang Y, Yang C, Shen Z, Chen Y, Zhang Z, Feng Y, Yan F. Three-dimensional magnetic resonance elastography combining proton-density fat fraction precisely identifies metabolic dysfunction-associated steatohepatitis with significant fibrosis. Magn Reson Imaging 2023; 104:1-8. [PMID: 37553044 DOI: 10.1016/j.mri.2023.07.017] [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: 06/15/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 08/10/2023]
Abstract
PURPOSE Patients with metabolic dysfunction-associated steatohepatitis (MASH) and significant fibrosis (fibrosis stage≥2), known as Fibro-MASH, are at increased risk of liver-related outcomes and lower rates of spontaneous disease regression. The aim was to investigate three-dimensional MR elastography (3D-MRE) combining proton-density fat fraction (PDFF) as a means of identifying Fibro-MASH. METHODS Forty-eight New Zealand rabbits were fed a high-fat/cholesterol or standard diet to obtain different disease activity and fibrosis stages. Shear stiffness (SS) and Damping Ratio (DR) were derived from 3D-MRE, whereas PDFF was from a volumetric 3D imaging sequence. Steatosis grade, metabolic dysfunction-associated steatotic liver disease activity score (MAS), and fibrosis stage were diagnosed histologically. Serum markers of fibrosis and inflammation were also measured. Correlation and comparison analysis, Receiver operating characteristic curves (ROC), Delong test, logistic regression analysis, and Net reclassification improvement (NRI) were performed. RESULTS PDFF correlated with steatosis grade (rho = 0.853). SS increased with developed liver fibrosis (rho = 0.837). DR correlated with MAS grade (rho = 0.678). The areas under the ROC (AUROCs) of SS for fibrosis grading were 0.961 and 0.953 for ≥F2, and ≥ F3, respectively. All the biochemical parameters were considered but excluded from the logistic regression analysis to identify Fibro-MASH. FF, SS, and DR were finally included in the further analysis. The three-parameter model combining PDFF, SS, and DR showed significant improvement in NRI over the model combining SS and PDFF (AUROC 0.973 vs. 0.906, P = 0.081; NRI 0.28, P < 0.05). CONCLUSION 3D-MRE combining PDFF may characterize the state of fat content, disease activity and fibrosis, thus precisely identify Fibro-MASH.
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Affiliation(s)
- Huimin Lin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Suhao Qiu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Yanzhao Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Chunxue Yang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Zhehan Shen
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yu Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Zhihan Zhang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yuan Feng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
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Sharpton S. Editorial: Assessing advanced fibrosis in metabolic-associated steatotic liver disease-The MAFLD fibrosis score. Aliment Pharmacol Ther 2023; 58:1234-1235. [PMID: 37986594 DOI: 10.1111/apt.17744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
LINKED CONTENTThis article is linked to Cheung et al papers. To view these articles, visit https://doi.org/10.1111/apt.17722 and https://doi.org/10.1111/apt.17774
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Affiliation(s)
- Suzanne Sharpton
- Division of Gastroenterology, Hepatology and Nutrition, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Ichikawa T, Oba H, Owada M, Watanabe K, Yoshimura T, Fuchigami A, Nakamura A. Evaluation of the effects of pemafibrate on metabolic dysfunction-associated steatotic liver disease with hypertriglyceridemia using magnetic resonance elastography combined with fibrosis-4 index and the magnetic resonance imaging-aspartate aminotransferase score. JGH Open 2023; 7:959-965. [PMID: 38162848 PMCID: PMC10757500 DOI: 10.1002/jgh3.13012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/08/2023] [Accepted: 11/12/2023] [Indexed: 01/03/2024]
Abstract
Background and Aim In this retrospective study, we evaluated the effects of pemafibrate treatment in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) and hypertriglyceridemia using non-invasive stiffness-based models, including magnetic resonance elastography (MRE) combined with the fibrosis-4 (FIB-4) (MEFIB) index and the magnetic resonance imaging (MRI)-aspartate aminotransferase (AST) (MAST) score. Methods In total, 179 patients with MASLD treated with pemafibrate were enrolled. We evaluated the effects of 48-week pemafibrate treatment using the MEFIB index, which classifies patients based on the combination of liver stiffness measurement (LSM) on MRE and FIB-4 and the MAST score, which is calculated based on LSM on MRE, MRI-proton density fat fraction (MRI-PDFF), and AST levels. Results Pemafibrate treatment led to significant reduction in AST, alanine aminotransferase (ALT), and gamma-glutamyl transferase (GGT) (P = 0.011, <0.001, and <0.001, respectively) and significant improvements in triglyceride and high-density lipoprotein cholesterol levels (P < 0.001 and <0.001, respectively). The MRI-PDFF values were not significantly altered. However, a significant decrease in LSM on MRE was detected (P = 0.003). Evaluation of fibrosis using the MEFIB index and MAST score demonstrated significant improvement (P = 0.004 and <0.001, respectively). Changes in the MAST score showed positive correlation with changes in ALT and GGT levels (r = 0.821, P < 0.001, and r = 0.808, P < 0.001, respectively). Additionally, ALT and GGT levels at baseline were significantly associated with improvements in the MAST score (P < 0.001 and <0.001, respectively). Conclusion Pemafibrate led to improvements in the MEFIB index and MAST score, as well as liver function. It is a promising therapeutic agent for patients with MASLD and hypertriglyceridemia with the potential to reduce liver-related events.
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Affiliation(s)
- Takeshi Ichikawa
- Department of Gastroenterology and HepatologyNippon Koukan HospitalKawasakiJapan
| | - Haruki Oba
- Department of Gastroenterology and HepatologyNippon Koukan HospitalKawasakiJapan
| | - Mai Owada
- Department of Gastroenterology and HepatologyNippon Koukan HospitalKawasakiJapan
| | - Kazuki Watanabe
- Department of Gastroenterology and HepatologyNippon Koukan HospitalKawasakiJapan
| | - Tsubasa Yoshimura
- Department of Gastroenterology and HepatologyNippon Koukan HospitalKawasakiJapan
| | - Ayako Fuchigami
- Department of Gastroenterology and HepatologyNippon Koukan HospitalKawasakiJapan
| | - Atsushi Nakamura
- Department of Gastroenterology and HepatologyNippon Koukan HospitalKawasakiJapan
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Boeriu A, Dobru D, Fofiu C. Non-Invasive Diagnostic of NAFLD in Type 2 Diabetes Mellitus and Risk Stratification: Strengths and Limitations. Life (Basel) 2023; 13:2262. [PMID: 38137863 PMCID: PMC10744403 DOI: 10.3390/life13122262] [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: 10/07/2023] [Revised: 10/26/2023] [Accepted: 11/25/2023] [Indexed: 12/24/2023] Open
Abstract
The progressive potential of liver damage in type 2 diabetes mellitus (T2DM) towards advanced fibrosis, end-stage liver disease, and hepatocarcinoma has led to increased concern for quantifying liver injury and individual risk assessment. The combination of blood-based markers and imaging techniques is recommended for the initial evaluation in NAFLD and for regular monitoring to evaluate disease progression. Continued development of ultrasonographic and magnetic resonance imaging methods for accurate quantification of liver steatosis and fibrosis, as well as promising tools for the detection of high-risk NASH, have been noted. In this review, we aim to summarize available evidence regarding the usefulness of non-invasive methods for the assessment of NAFLD in T2DM. We focus on the power and limitations of various methods for diagnosis, risk stratification, and patient monitoring that support their implementation in clinical setting or in research field.
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Affiliation(s)
- Alina Boeriu
- Gastroenterology Department, University of Medicine Pharmacy, Sciences, and Technology “George Emil Palade” Targu Mures, 540142 Targu Mures, Romania;
- Gastroenterology Department, Mures County Clinical Hospital, 540103 Targu Mures, Romania
| | - Daniela Dobru
- Gastroenterology Department, University of Medicine Pharmacy, Sciences, and Technology “George Emil Palade” Targu Mures, 540142 Targu Mures, Romania;
- Gastroenterology Department, Mures County Clinical Hospital, 540103 Targu Mures, Romania
| | - Crina Fofiu
- Gastroenterology Department, University of Medicine Pharmacy, Sciences, and Technology “George Emil Palade” Targu Mures, 540142 Targu Mures, Romania;
- Internal Medicine Department, Bistrita County Clinical Hospital, 420094 Bistrita, Romania
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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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Canivet CM, Zheng MH, Qadri S, Vonghia L, Chuah KH, Costentin C, George J, Armandi A, Adams LA, Lange NF, Blanchet O, Moal V, Younes R, Roux M, Chan WK, Sturm N, Eslam M, Bugianesi E, Wang Z, Dufour JF, Francque S, Yki-Järvinen H, Zheng KI, Boursier J. Validation of the Blood Test MACK-3 for the Noninvasive Diagnosis of Fibrotic Nonalcoholic Steatohepatitis: An International Study With 1924 Patients. Clin Gastroenterol Hepatol 2023; 21:3097-3106.e10. [PMID: 37031715 DOI: 10.1016/j.cgh.2023.03.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 02/03/2023] [Accepted: 03/24/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND & AIMS Drug development in nonalcoholic steatohepatitis (NASH) is hampered by a high screening failure rate that reaches 60% to 80% in therapeutic trials, mainly because of the absence of fibrotic NASH on baseline liver histology. MACK-3, a blood test including 3 biomarkers (aspartate aminotransferase, homeostasis model assessment, and cytokeratin 18), recently was developed for the noninvasive diagnosis of fibrotic NASH. We aimed to validate the diagnostic accuracy of this noninvasive test in an international multicenter study. METHODS A total of 1924 patients with biopsy-proven nonalcoholic fatty liver disease from 10 centers in Asia, Australia, and Europe were included. The blood test MACK-3 was calculated for all patients. FibroScan-aspartate aminotransferase score (FAST), an elastography-based test for fibrotic NASH, also was available in a subset of 655 patients. Fibrotic NASH was defined as the presence of NASH on liver biopsy with a Nonalcoholic Fatty Liver Disease Activity Score of 4 or higher and fibrosis stage of F2 or higher according to the NASH Clinical Research Network scoring system. RESULTS The area under the receiver operating characteristic of MACK-3 for fibrotic NASH was 0.791 (95% CI 0.768-0.814). Sensitivity at the previously published MACK-3 threshold of less than 0.135 was 91% and specificity at a greater than 0.549 threshold was 85%. The MACK-3 area under the receiver operating characteristic was not affected by age, sex, diabetes, or body mass index. MACK-3 and FAST results were well correlated (Spearman correlation coefficient, 0.781; P < .001). Except for an 8% higher rate of patients included in the grey zone, MACK-3 provided similar accuracy to that of FAST. Both tests included 27% of patients in their rule-in zone, with 85% specificity and 35% false positives (screen failure rate). CONCLUSIONS The blood test MACK-3 is an accurate tool to improve patient selection in NASH therapeutic trials.
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Affiliation(s)
- Clémence M Canivet
- Service d'Hépato-Gastroentérologie et Oncologie Digestive, Hôpital Universitaire d'Angers, Angers, France; Laboratoire HIFIH UPRES EA3859, SFR ICAT 4208, Université d'Angers, Angers, France
| | - Ming-Hua Zheng
- Nonalcoholic Fatty Liver Disease Research Center, Department of Hepatology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Sami Qadri
- Department of Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, University Hospital of Helsinki, Helsinki, Finland
| | - Luisa Vonghia
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Pediatrics, Division of Gastroenterology-Hepatology, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Kee-Huat Chuah
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Charlotte Costentin
- Grenoble Institute for Advanced Biosciences, Research Center UGA/Inserm U 1209/CNRS 5309, Université Grenoble Alpes, Service d'Hépato-Gastroentérologie, Centre Hospitalier Universitaire Grenoble-Alpes, Grenoble, France
| | - Jacob George
- Storr Liver Centre, Westmead Hospital, University of Sydney, New South Wales, Australia
| | - Angelo Armandi
- Dipartimento di Scienze Mediche, Università di Torino, Turin, Italy
| | - Leon A Adams
- Medical School, University of Western Australia, Perth, Australia
| | - Naomi F Lange
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Odile Blanchet
- CRB-BB-0033-00038, Angers University Hospital, Angers, France
| | - Valérie Moal
- Biochemistry Department, Angers University Hospital, Angers, France
| | - Ramy Younes
- Dipartimento di Scienze Mediche, Università di Torino, Turin, Italy
| | - Marine Roux
- Laboratoire HIFIH UPRES EA3859, SFR ICAT 4208, Université d'Angers, Angers, France
| | - Wah-Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Nathalie Sturm
- Service d'Anatomie et de Cytologie Pathologique, Centre Hospitalier Universitaire Grenoble-Alpes, La Tronche, France
| | - Mohammed Eslam
- Storr Liver Centre, Westmead Hospital, University of Sydney, New South Wales, Australia
| | | | - Zhengyi Wang
- Medical School, University of Western Australia, Perth, Australia
| | - Jean-François Dufour
- Centre des Maladies Digestives, Lausanne, Switzerland; Swiss Nonalcoholic Steatohepatitis Foundation, Bern, Switzerland
| | - Sven Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Pediatrics, Division of Gastroenterology-Hepatology, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Hannele Yki-Järvinen
- Department of Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, University Hospital of Helsinki, Helsinki, Finland
| | - Kenneth I Zheng
- Nonalcoholic Fatty Liver Disease Research Center, Department of Hepatology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jérôme Boursier
- Service d'Hépato-Gastroentérologie et Oncologie Digestive, Hôpital Universitaire d'Angers, Angers, France; Laboratoire HIFIH UPRES EA3859, SFR ICAT 4208, Université d'Angers, Angers, France.
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50
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Noureddin N, Ajmera V, Bergstrom J, Bettencourt R, Huang DQ, Siddiqi H, Majzoub AM, Nayfeh T, Tamaki N, Izumi N, Nakajima A, Idilman R, Gumussoy M, Oz DK, Erden A, Loomba R. MEFIB-Index and MAST-Score in the assessment of hepatic decompensation in metabolic dysfunction-associated steatosis liver disease-Individual participant data meta-analyses. Aliment Pharmacol Ther 2023; 58:856-865. [PMID: 37694993 PMCID: PMC10901230 DOI: 10.1111/apt.17707] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/16/2023] [Accepted: 08/28/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND There are limited data regarding the longitudinal association between MEFIB-Index (MRE combined with FIB-4) versus MAST-Score (MRI-aspartate aminotransferase) and hepatic decompensation. AIM To examine the longitudinal association between MEFIB-Index versus MAST-Score in predicting hepatic decompensation in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). METHODS This was a longitudinal, retrospective analysis of subjects from United States, Japan, and Turkey who underwent a baseline MRE and MRI-PDFF and were followed for hepatic decompensation. Cox-proportional hazard analyses were used to assess the association between MEFIB-Index versus MAST-Score with a composite primary outcome (hepatic decompensation) defined as ascites, hepatic encephalopathy, and varices needing treatment. RESULTS This meta-analysis of individual participants (IPDMA) included 454 patients (58% women) with a mean (±SD) age of 56.0 (±13.5) years. The MEFIB-Index (MRE ≥3.3 kPa + FIB 4 ≥1.6) and MAST-Score (>0.242) were positive for 34% and 9% of the sample, respectively. At baseline, 23 patients met criteria for hepatic decompensation. Among 297 patients with available longitudinal data with a median (IQR) of 4.2 (5.0) years of follow-up, 25 incident cases met criteria for hepatic decompensation. A positive MEFIB-Index [HR = 49.22 (95% CI: 6.23-388.64, p < 0.001)] and a positive MAST-Score [HR = 3.86 (95% CI: 1.46-10.17, p < 0.001)] were statistically significant predictors of the incident hepatic decompensation. MEFIB-Index (c-statistic: 0.89, standard error (SE) = 0.02) was statistically superior to the MAST-Score (c-statistic: 0.81, SE = 0.03) (p < 0.0001) in predicting hepatic decompensation. CONCLUSION A combination of MRI-based biomarker and blood tests, MEFIB-Index and MAST-Score can predict the risk of hepatic decompensation in patients with MASLD.
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Affiliation(s)
- Nabil Noureddin
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology, University of California at San Diego, La Jolla, CA, USA
| | - Veeral Ajmera
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology, University of California at San Diego, La Jolla, CA, USA
| | - Jaclyn Bergstrom
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Richele Bettencourt
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | - Daniel Q. Huang
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore
| | - Harris Siddiqi
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
| | | | - Tarek Nayfeh
- Evidence-Based Practice Center, Mayo Clinic, Rochester, MN, USA
| | - Nobuharu Tamaki
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital Tokyo, Japan
| | - Namiki Izumi
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital Tokyo, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City University, Yokohama, Japan
| | - Ramzan Idilman
- Ankara University School of Medicine, Department of Gastroenterology, Ankara Turkey
| | - Mesut Gumussoy
- Ankara University School of Medicine, Department of Gastroenterology, Ankara Turkey
| | - Digdem Kuru Oz
- Ankara University School of Medicine, Department of Radiology, Ankara Turkey
| | - Ayse Erden
- Ankara University School of Medicine, Department of Radiology, Ankara Turkey
| | - Rohit Loomba
- MASLD Research Center, Division of Gastroenterology. University of California at San Diego, La Jolla, CA, USA
- Division of Gastroenterology, University of California at San Diego, La Jolla, CA, USA
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