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Chouik Y, Aubin A, Maynard-Muet M, Segrestin B, Milot L, Hervieu V, Zoulim F, Disse E, Levrero M, Caussy C. The grade of obesity affects the noninvasive diagnosis of advanced fibrosis in individuals with MASLD. Obesity (Silver Spring) 2024; 32:1114-1124. [PMID: 38699960 DOI: 10.1002/oby.24033] [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: 11/05/2023] [Revised: 02/12/2024] [Accepted: 03/03/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVE Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely associated with obesity. We aimed to assess the impact of obesity on the performance of different noninvasive tests, including liver stiffness measurement (LSM) and Agile3+ (A3+), to detect advanced fibrosis (AF) in a population of patients with MASLD encompassing a wide range of BMI values. METHODS A total of 479 patients with MASLD were consecutively included (Lyon Hepatology Institute). Clinical data and noninvasive tests, including FibroTest, LSM, A3+, Fibrosis-4 (FIB-4), magnetic resonance elastography, and liver biopsies, were collected. AF was determined by a composite endpoint, i.e., histological stage ≥ F3, overt diagnosis of cirrhosis by magnetic resonance elastography, or concordant LSM ≥ 9.6 kPa and FibroTest ≥ F3. RESULTS The median BMI was 35.0 kg/m2, and the prevalence of AF was 28.6%. Patients with BMI ≥ 35 versus <35 had a lower proportion of AF, i.e., 19.3% versus 38.1% (p < 0.001), but higher indeterminate status for AF (34.2% vs. 15.4%; p < 0.001). In the case of BMI ≥ 35, LSM had lower specificity to rule in AF (77.9%) versus A3+ (90.4%), but A3+ had decreased sensitivity to rule out AF. A sequential LSM/A3+ strategy achieved high specificity to rule in AF and lowered the proportion of indeterminate cases in patients with BMI ≥ 35. CONCLUSIONS The grade of obesity affects the detection of MASLD-related AF. A sequential use of LSM/A3+ could improve AF detection in patients with BMI ≥ 35.
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Affiliation(s)
- Yasmina Chouik
- Hepatology Department, Croix-Rousse Hospital, Civil Hospices of Lyon, Inserm Unit 1052, Lyon, France
| | - Adrien Aubin
- Endocrinology, Diabetes and Nutrition Department, Lyon South Hospital, Civil Hospices of Lyon, Pierre-Bénite, France
| | - Marianne Maynard-Muet
- Hepatology Department, Croix-Rousse Hospital, Civil Hospices of Lyon, Inserm Unit 1052, Lyon, France
- Lyon Cancer Research Center, Inserm Unit 1052, Scientific Research National Center, Lyon, France
| | - Bérénice Segrestin
- Endocrinology, Diabetes and Nutrition Department, Lyon South Hospital, Civil Hospices of Lyon, Pierre-Bénite, France
- Lyon University, CarMen Laboratory, Inserm, National Institute for Agricultural Research (INRA), National Institute of Applied Sciences (INSA) Lyon, Claude Bernard University Lyon 1, Pierre-Bénite, France
| | - Laurent Milot
- Radiology Service, Civil Hospices of Lyon, Edouard Herriot Hospital, Lyon, France
- Claude Bernard University Lyon 1, Lyon, France
| | - Valérie Hervieu
- Claude Bernard University Lyon 1, Lyon, France
- Pathological Anatomy Department, Civil Hospices of Lyon, Edouard Herriot Hospital, Lyon, France
| | - Fabien Zoulim
- Hepatology Department, Croix-Rousse Hospital, Civil Hospices of Lyon, Inserm Unit 1052, Lyon, France
- Lyon Cancer Research Center, Inserm Unit 1052, Scientific Research National Center, Lyon, France
- Claude Bernard University Lyon 1, Lyon, France
| | - Emmanuel Disse
- Endocrinology, Diabetes and Nutrition Department, Lyon South Hospital, Civil Hospices of Lyon, Pierre-Bénite, France
- Lyon University, CarMen Laboratory, Inserm, National Institute for Agricultural Research (INRA), National Institute of Applied Sciences (INSA) Lyon, Claude Bernard University Lyon 1, Pierre-Bénite, France
- Claude Bernard University Lyon 1, Lyon, France
| | - Massimo Levrero
- Hepatology Department, Croix-Rousse Hospital, Civil Hospices of Lyon, Inserm Unit 1052, Lyon, France
- Lyon Cancer Research Center, Inserm Unit 1052, Scientific Research National Center, Lyon, France
- Claude Bernard University Lyon 1, Lyon, France
| | - Cyrielle Caussy
- Endocrinology, Diabetes and Nutrition Department, Lyon South Hospital, Civil Hospices of Lyon, Pierre-Bénite, France
- Lyon University, CarMen Laboratory, Inserm, National Institute for Agricultural Research (INRA), National Institute of Applied Sciences (INSA) Lyon, Claude Bernard University Lyon 1, Pierre-Bénite, France
- Claude Bernard University Lyon 1, Lyon, France
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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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Raverdy V, Tavaglione F, Chatelain E, Caiazzo R, Saponaro C, Lassailly G, Verkindt H, Baud G, Marciniak C, Chetboun M, Oukhouya-Daoud N, Gnemmi V, Leteurtre E, Duhamel A, Philippe M, Marot G, Romeo S, Pattou F. Performance of non-invasive tests for liver fibrosis resolution after bariatric surgery. Metabolism 2024; 153:155790. [PMID: 38219973 DOI: 10.1016/j.metabol.2024.155790] [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: 08/01/2023] [Revised: 12/05/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND & AIMS The value of non-invasive tests for monitoring the resolution of significant liver fibrosis after treatment is poorly investigated. We compared the performances of six non-invasive tests to predict the resolution of significant fibrosis after bariatric surgery. METHODS Participants were individuals with obesity submitted to needle liver biopsy at the time of bariatric surgery, and 12 and/or 60 months after surgery. We calculated the fibrosis-4 index (FIB-4), NAFLD fibrosis score (NFS), AST to platelet ratio index (APRI), Hepatic fibrosis score (HFS), Fibrotic NASH index (FNI), and Liver risk score (LRS) at each time point, and compared their performances for predicting significant fibrosis (F ≥ 2) and its resolution following surgery. RESULTS At baseline, 2436 patients had liver biopsy, including 261 (10.7 %) with significant fibrosis. Overall, 672 patients had pre- and post-operative biopsies (564 at M12 and 328 at M60). The fibrosis stage decreased at M12 and M60 (p < 0.001 vs M0). Resolution of significant fibrosis occurred in 58/121 (47.9 %) at M12 and 32/50 (64 %) at M60. The mean value of all tests decreased after surgery, except for FIB-4. Performances for predicting fibrosis resolution was higher at M60 than at M12 for all tests, and maximal at M60 for FNI and LRS: area under the curve 0.843 (95%CI 0.71-0.95) and 0.92 (95%CI 0.84-1.00); positive likelihood ratio 3.75 (95 % CI 1.33-10.59) and 4.58 (95 % CI 1.65-12.70), respectively. CONCLUSIONS Results showed the value and limits of non-invasive tests for monitoring the evolution of liver fibrosis after an intervention. Following bariatric surgery, the best performances to predict the resolution of significant fibrosis were observed at M60 with tests combining liver and metabolic traits, namely FNI and LRS.
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Affiliation(s)
- Violeta Raverdy
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Federica Tavaglione
- Operative Unit of Clinical Medicine and Hepatology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy; Research Unit of Clinical Medicine and Hepatology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Estelle Chatelain
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41-UAR 2014-PLBS, billille, F-59000 Lille, France
| | - Robert Caiazzo
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Chiara Saponaro
- European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Guillaume Lassailly
- CHU Lille, Univ. Lille, Inserm INFINITE-U1286, Department of Hepato-Gastroenterology, F-59000 Lille, France
| | - Helene Verkindt
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Gregory Baud
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Camille Marciniak
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Mikael Chetboun
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Naima Oukhouya-Daoud
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France
| | - Viviane Gnemmi
- CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer Heterogeneity Plasticity and Resistance to Therapies, Univ. Lille, Lille, France; Department of Pathology, CHU Lille, Univ. Lille, Lille, France
| | - Emmanuelle Leteurtre
- CNRS, Inserm, CHU Lille, UMR9020-U1277 - CANTHER - Cancer Heterogeneity Plasticity and Resistance to Therapies, Univ. Lille, Lille, France; Department of Pathology, CHU Lille, Univ. Lille, Lille, France
| | - Alain Duhamel
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France
| | - Mathurin Philippe
- CHU Lille, Univ. Lille, Inserm INFINITE-U1286, Department of Hepato-Gastroenterology, F-59000 Lille, France
| | - Guillemette Marot
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France; Inria, MODAL: Models for Data Analysis and Learning, F-59000 Lille, France
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Wallenberg Laboratory, University of Gothenburg, Gothenburg, Sweden; Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Catanzaro, Italy; Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - François Pattou
- Service de chirurgie générale et endocrinienne, Centre Hospitalier Universitaire de Lille, Lille, France; European Genomic Institute for Diabetes, UMR 1190 Translational Research for Diabetes, Inserm, CHU Lille, University of Lille, Lille, France.
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Bril F, Gray M. Noninvasive tests to identify liver fibrosis in metabolic dysfunction-associated steatotic liver disease are affected by race. Obesity (Silver Spring) 2024; 32:612-622. [PMID: 38151987 PMCID: PMC10922543 DOI: 10.1002/oby.23960] [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: 09/07/2023] [Revised: 10/20/2023] [Accepted: 11/01/2023] [Indexed: 12/29/2023]
Abstract
OBJECTIVE The objective of this study was to assess the performance of noninvasive tests (NITs) across different racial and ethnic groups in a large multiethnic cohort. METHODS Data were derived from the National Health and Nutrition Examination Survey (NHANES) 2017 through 2020. Participants without valid transient elastography measurements or with alternative etiologies of liver steatosis disease were excluded from the study. RESULTS Among the 6359 adults included in the study, fatty liver index and nonalcoholic fatty liver disease liver fat scores performed well for the prediction of metabolic dysfunction-associated steatotic liver disease, without significant changes across racial and ethnic groups. However, significant differences were observed across racial and ethnic groups for the prediction of advanced fibrosis and cirrhosis. The fibrosis-4 (FIB-4) index, aspartate aminotransferase to platelet ratio index (APRI), and nonalcoholic fatty liver disease fibrosis score underperformed in non-Hispanic Black patients for the detection of cirrhosis. For the detection of advanced fibrosis, their performance was also numerically worse in non-Hispanic Black patients but only reached statistical significance for APRI. Using a cutoff point of 12 kPa for advanced fibrosis, both APRI and the FIB-4 index performed significantly worse in non-Hispanic Black patients. CONCLUSIONS In a large, diverse national cohort, the performance of NITs was overall poor compared with transient elastography, and NITs showed differences across racial and ethnic groups. Given the widespread use of NITs, it is imperative that the scores are equitable across racial and ethnic groups.
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Affiliation(s)
- Fernando Bril
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
- Division of Endocrinology, Diabetes and Metabolism, Birmingham VA Medical Center, Birmingham, AL
| | - Meagan Gray
- Division of Gastroenterology, Nutrition and Hepatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
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Lonardo A, Ballestri S, Mantovani A, Targher G, Bril F. Endpoints in NASH Clinical Trials: Are We Blind in One Eye? Metabolites 2024; 14:40. [PMID: 38248843 PMCID: PMC10820221 DOI: 10.3390/metabo14010040] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 12/31/2023] [Accepted: 01/05/2024] [Indexed: 01/23/2024] Open
Abstract
This narrative review aims to illustrate the notion that nonalcoholic steatohepatitis (NASH), recently renamed metabolic dysfunction-associated steatohepatitis (MASH), is a systemic metabolic disorder featuring both adverse hepatic and extrahepatic outcomes. In recent years, several NASH trials have failed to identify effective pharmacological treatments and, therefore, lifestyle changes are the cornerstone of therapy for NASH. with this context, we analyze the epidemiological burden of NASH and the possible pathogenetic factors involved. These include genetic factors, insulin resistance, lipotoxicity, immuno-thrombosis, oxidative stress, reprogramming of hepatic metabolism, and hypoxia, all of which eventually culminate in low-grade chronic inflammation and increased risk of fibrosis progression. The possible explanations underlying the failure of NASH trials are also accurately examined. We conclude that the high heterogeneity of NASH, resulting from variable genetic backgrounds, exposure, and responses to different metabolic stresses, susceptibility to hepatocyte lipotoxicity, and differences in repair-response, calls for personalized medicine approaches involving research on noninvasive biomarkers. Future NASH trials should aim at achieving a complete assessment of systemic determinants, modifiers, and correlates of NASH, thus adopting a more holistic and unbiased approach, notably including cardiovascular-kidney-metabolic outcomes, without restricting therapeutic perspectives to histological surrogates of liver-related outcomes alone.
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Affiliation(s)
- Amedeo Lonardo
- AOU—Modena—Ospedale Civile di Baggiovara, 41126 Modena, Italy;
| | | | - Alessandro Mantovani
- Section of Endocrinology and Diabetes, Department of Medicine, University of Verona, Piazzale Stefani, 37126 Verona, Italy
| | - Giovanni Targher
- Department of Medicine, University of Verona, 37126 Verona, Italy;
- Metabolic Diseases Research Unit, IRCCS Sacro Cuore—Don Calabria Hospital, 37024 Negrar di Valpolicella, Italy
| | - Fernando Bril
- Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL 35233, USA;
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Cusi K, Ekhlaspour L, Fleming TK, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Napoli N, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Verduzco-Gutierrez M, Younossi ZM, Gabbay RA. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S52-S76. [PMID: 38078591 PMCID: PMC10725809 DOI: 10.2337/dc24-s004] [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] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Chimoriya R, Ho V, Wang ZV, Chang R, Boumelhem BB, Simmons D, Kormas N, Gorrell MD, Piya MK. Application and Diagnostic Performance of Two-Dimensional Shear Wave Elastography and Liver Fibrosis Scores in Adults with Class 3 Obesity. Nutrients 2023; 16:74. [PMID: 38201904 PMCID: PMC10780854 DOI: 10.3390/nu16010074] [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: 11/22/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
There are no ideal non-invasive tests for assessing the severity of liver fibrosis in people with metabolic dysfunction-associated steatotic liver disease (MASLD) and class 3 obesity, where body habitus often makes imaging technically challenging. This study aimed to assess the applicability and diagnostic performance of two-dimensional shear wave elastography (2D-SWE), alongside several serum-based liver fibrosis scoring methods, in individuals with class 3 obesity. A cross-sectional study was conducted in patients aged ≥18 years and with a body mass index (BMI) ≥ 40 kg/m2 who were participants in a publicly funded multidisciplinary weight management program in South Western Sydney. The 2D-SWE was performed using the ElastQ Imaging (EQI) procedure with the Phillips EPIQ Elite series ultrasound. An EQI Median value of ≥6.43 kPa was taken as a cutoff score for significant fibrosis, and the scan was considered valid when the liver EQI IQR/Med value was <30%. The Fibrosis-4 (FIB-4) index, AST-to-platelet ratio index (APRI), NAFLD fibrosis score (NFS), and circulating fibroblast activation protein index (FAP index) were calculated from fasting blood samples. The participants (n = 116; 67.2% female) were aged 47.2 ± 12.9 years, with BMI 54.5 ± 11.0 kg/m2. EQI Median values were obtained for 97.4% (113/116) of the 2D-SWE scans, and 91.4% (106/116) of the scans were considered valid. The EQI Median values exhibited a moderately positive correlation with the FIB-4 index (r = 0.438; p < 0.001) and a weakly positive correlation with the APRI (r = 0.388; p < 0.001), NFS (r = 0.210; p = 0.036) and FAP index (r = 0.226; p = 0.020). All liver fibrosis scores were positively correlated with one another. Among those referred for a liver biopsy based on the 2D-SWE and serum scores, half (11/22) underwent liver biopsy, and their 2D-SWE scores exhibited 72.7% accuracy (sensitivity: 71.4%; specificity: 75%) in detecting significant fibrosis. Our results show that 2D-SWE is a feasible, non-invasive test to assess liver fibrosis among people with class 3 obesity. Further research is needed to assess how 2D-SWE can be used alongside existing serum-based risk scores to reliably detect significant fibrosis, which would potentially reduce the need for invasive liver biopsy.
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Affiliation(s)
- Ritesh Chimoriya
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
| | - Vincent Ho
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Ziqi Vincent Wang
- Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (Z.V.W.); (B.B.B.); (M.D.G.)
| | - Ruby Chang
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Badwi B. Boumelhem
- Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (Z.V.W.); (B.B.B.); (M.D.G.)
| | - David Simmons
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Nic Kormas
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Mark D. Gorrell
- Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (Z.V.W.); (B.B.B.); (M.D.G.)
| | - Milan K. Piya
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
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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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9
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Younossi ZM, Henry L, Isaacs S, Cusi K. Identification of High-Risk Patients With Nonalcoholic Fatty Liver Disease in Endocrinology Clinics. Endocr Pract 2023; 29:912-918. [PMID: 37406857 DOI: 10.1016/j.eprac.2023.06.012] [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: 03/09/2023] [Revised: 06/22/2023] [Accepted: 06/28/2023] [Indexed: 07/07/2023]
Abstract
The twin epidemics of obesity and type 2 diabetes continue to increase worldwide, so does the associated chronic liver disease, nonalcoholic fatty liver disease (NAFLD). Although NAFLD has been thought of as a benign liver disease, current evidence suggests that it is a complex liver disease that, for approximately 20% of patients, can progress to fibrosis, cirrhosis, hepatocellular carcinoma, liver transplant, and death. It is important to note that, given NAFLD's association with metabolic syndrome, the number one cause of death among those with NAFLD is related to cardiovascular diseases. In addition, NAFLD is associated with impaired patient-reported outcomes and a significant economic burden. As such, efforts are now aimed at using noninvasive tests (NITs) to identify patients with NAFLD and those who are at risk of liver disease progression and adverse outcomes in endocrinology practices whereby appropriate risk stratification and referrals can be undertaken. In this review, we discuss the most common NITs used and provide a simple clinically relevant algorithm using these NITs to identify patients with NAFLD who are at risk of adverse outcomes and subsequent clinical management and referral.
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Affiliation(s)
- Zobair M Younossi
- Inova Medicine, Inova Health System, Falls Church, Virginia; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia; Center for Liver Diseases, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, Virginia.
| | - Linda Henry
- Inova Medicine, Inova Health System, Falls Church, Virginia; Beatty Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia
| | - Scott Isaacs
- Emory University School of Medicine, Atlanta, Georgia
| | - Kenneth Cusi
- Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, Florida
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10
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Gradel KO. Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review. J Clin Med 2023; 12:6132. [PMID: 37834777 PMCID: PMC10573484 DOI: 10.3390/jcm12196132] [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: 07/07/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
This review assesses how publications interpret factors that influence the serum or plasma albumin (PA) level in prognostic indices, focusing on inflammation and nutrition. On PubMed, a search for "albumin AND prognosis" yielded 23,919 results. From these records, prognostic indices were retrieved, and their names were used as search strings on PubMed. Indices found in 10 or more original research articles were included. The same search strings, restricted to "Review" or "Systematic review", retrieved yielded on the indices. The data comprised the 10 latest original research articles and up to 10 of the latest reviews. Thirty indices had 294 original research articles (6 covering two indices) and 131 reviews, most of which were from recent years. A total of 106 articles related the PA level to inflammation, and 136 related the PA level to nutrition. For the reviews, the equivalent numbers were 54 and 65. In conclusion, more publications mention the PA level as a marker of nutrition rather than inflammation. This is in contrast to several general reviews on albumin and nutritional guidelines, which state that the PA level is a marker of inflammation but not nutrition. Hypoalbuminemia should prompt clinicians to focus on the inflammatory aspects in their patients.
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Affiliation(s)
- Kim Oren Gradel
- Center for Clinical Epidemiology, Odense University Hospital, 5000 Odense, Denmark; ; Tel.: +45-21-15-80-85
- Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark
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11
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Akin S, Gungor O, Boyuk B, Erman H. Factors related to the presence of nonalcoholic fatty liver disease in patients with type 2 diabetes: a single center study. Clin Exp Hepatol 2023; 9:272-278. [PMID: 37790683 PMCID: PMC10544059 DOI: 10.5114/ceh.2023.130665] [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: 03/22/2023] [Accepted: 07/20/2023] [Indexed: 10/05/2023] Open
Abstract
Aim of the study There is a close relationship between the development of diabetes and nonalcoholic fatty liver disease (NAFLD). The aim of the study was to determine the frequency and associated factors of NAFLD in type 2 diabetes mellitus (T2DM) patients according to the ultrasound examination and noninvasive hepatic fibrosis indices. Material and methods 316 patients who were followed up in the Internal Medicine Diabetes clinic, over the age of 18, diagnosed with T2DM were included retrospectively. NAFLD was noted using ultrasound. NAFLD fibrosis score (NFS), fibrosis-4 index (FIB-4) and AST to platelet ratio index (APRI) were used as non-invasive hepatic fibrosis indices. Results The prevalence of NAFLD with hepatic ultrasound was 89.7% in T2DM patients. Among non-invasive fibrosis indices, NFS and FIB-4 were similar, but APRI was significantly higher in moderate-severe hepatosteatosis group (p values = 0.355, 0.246 and 0.003 respectively). In logistic regression analysis, while mild hepatosteatosis was associated with BMI and NFS (p = 0.004, p = 0.008), moderate to severe hepatosteatosis as associated with BMI and serum triglycerides (p < 0.001, p = 0.019). Conclusions The prevalence of NAFLD is high in patients with T2DM. The frequency and degree of NAFLD is associated with the NFS, BMI and hypertriglyceridemia. While NFS is associated with mild hepatosteatosis; moderate to severe hepatosteatosis is associated with BMI and serum triglycerides.
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Affiliation(s)
| | | | | | - Hande Erman
- Department of Internal Medicine, Istanbul Kartal Dr Lutfi Kirdar City Hospital, Turkey
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12
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Xu Q, Feng M, Ren Y, Liu X, Gao H, Li Z, Su X, Wang Q, Wang Y. From NAFLD to HCC: Advances in noninvasive diagnosis. Biomed Pharmacother 2023; 165:115028. [PMID: 37331252 DOI: 10.1016/j.biopha.2023.115028] [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: 05/13/2023] [Revised: 06/10/2023] [Accepted: 06/14/2023] [Indexed: 06/20/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has gradually become one of the major liver health problems in the world. The dynamic course of the disease goes through steatosis, inflammation, fibrosis, and carcinoma. Before progressing to carcinoma, timely and effective intervention will make the condition better, which highlights the importance of early diagnosis. With the further study of the biological mechanism in the pathogenesis and progression of NAFLD, some potential biomarkers have been discovered, and the possibility of their clinical application is gradually being discussed. At the same time, the progress of imaging technology and the emergence of new materials and methods also provide more possibilities for the diagnosis of NAFLD. This article reviews the diagnostic markers and advanced diagnostic methods of NAFLD in recent years.
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Affiliation(s)
- Qinchen Xu
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Maoxiao Feng
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong Province, China
| | - Yidan Ren
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Xiaoyan Liu
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong Province, China
| | - Huiru Gao
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Zigan Li
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Xin Su
- Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, China
| | - Qin Wang
- Department of Anesthesiology, Qilu Hospital, Shandong University, 107 Wenhua Xi Road, Jinan 250012, China.
| | - Yunshan Wang
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong Province, China.
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13
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Abstract
The medical disorders of alcoholism rank among the leading public health problems worldwide and the need for predictive and prognostic risk markers for assessing alcohol use disorders (AUD) has been widely acknowledged. Early-phase detection of problem drinking and associated tissue toxicity are important prerequisites for timely initiations of appropriate treatments and improving patient's committing to the objective of reducing drinking. Recent advances in clinical chemistry have provided novel approaches for a specific detection of heavy drinking through assays of unique ethanol metabolites, phosphatidylethanol (PEth) or ethyl glucuronide (EtG). Carbohydrate-deficient transferrin (CDT) measurements can be used to indicate severe alcohol problems. Hazardous drinking frequently manifests as heavy episodic drinking or in combinations with other unfavorable lifestyle factors, such as smoking, physical inactivity, poor diet or adiposity, which aggravate the metabolic consequences of alcohol intake in a supra-additive manner. Such interactions are also reflected in multiple disease outcomes and distinct abnormalities in biomarkers of liver function, inflammation and oxidative stress. Use of predictive biomarkers either alone or as part of specifically designed biological algorithms helps to predict both hepatic and extrahepatic morbidity in individuals with such risk factors. Novel approaches for assessing progression of fibrosis, a major determinant of prognosis in AUD, have also been made available. Predictive algorithms based on the combined use of biomarkers and clinical observations may prove to have a major impact on clinical decisions to detect AUD in early pre-symptomatic stages, stratify patients according to their substantially different disease risks and predict individual responses to treatment.
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Affiliation(s)
- Onni Niemelä
- Department of Laboratory Medicine and Medical Research Unit, Seinäjoki Central Hospital and Tampere University, Seinäjoki, Finland.
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14
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Collier A, Curran C, Cameron L, Wild SH, Byrne CD. Liver fibrosis markers and all cause mortality in people with type 2 diabetes: A population based study (The Ayrshire Diabetes Outcomes Cohort (ADOC) Study). Diabetes Obes Metab 2023. [PMID: 37311724 DOI: 10.1111/dom.15153] [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: 01/26/2023] [Revised: 05/16/2023] [Accepted: 05/17/2023] [Indexed: 06/15/2023]
Abstract
AIMS To describe the distribution of the biomarker scores Fibrosis-4 (FIB4), nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS), and aspartate aminotransferase to platelet ratio index (APRI), and the associations between risk categories and all-cause mortality. MATERIALS AND METHODS This was a retrospective cohort study of 12 589 patients, with follow-up from January 2012 until November 2021. The cut-off points used to identify low risk were: FIB4 <1.3 if aged <65 years or <2.0 if aged ≥65 years; NFS < -1.455 if aged <65 years or <0.12 if aged ≥ 65 years; APRI <1 (independent of age). High-risk cut-off points were FIB4 >2.67, NFS >0.676 and APRI ≥1 (all independent of age). Multivariable Cox regression analysis was performed to assess the association between liver fibrosis scores and all-cause mortality. RESULTS The mean ± standard deviation age was 65.2 ± 12.1 years, 54.5% were men and the median (interquartile range) diabetes duration was 5.8 (2.8-9.3) years. The prevalence of high-risk categories was 6.1% for FIB4, 23.5% for NFS and 1.6% for APRI. During a median follow-up of 9.8 years, 3925 patients (31.1%) died, resulting in a crude mortality rate of 40.4 per 1000 person-years. The overall adjusted all-cause mortality hazard ratios (95% confidence intervals [CIs]) in the high- compared with low-fibrosis-risk groups were 3.69 (1.95-2.75) for FIB4, 2.32 (2.88-4.70) for NFS, and 3.92 (2.88-5.34) for APRI. Stratified adjusted all-cause mortality hazard ratios for individuals under 65 years and people over 65 years of age at cohort entry were 3.89 (95% CI 2.99-5.05) and 1.44 (95% CI 1.28-1.61) for FIB4, 2.50 (95% CI 1.89-3.18) and 1.35 (95% CI 1.24-1.48) for NFS and 3.74 (95% CI 2.73-5.14) and 1.64 (95% CI 1.24-2.17) for APRI. CONCLUSIONS All three fibrosis risk scores were positively associated with all-cause mortality in people with type 2 diabetes, with higher relative risks in younger than older people. Effective interventions are required to minimize excess mortality in people at high risk of liver fibrosis.
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Affiliation(s)
- Andrew Collier
- Diabetes Day Centre, NHS Ayrshire and Arran, University Hospital Ayr, Ayr, UK
| | | | - Lyall Cameron
- Primary Care Quality and Development, NHS Ayrshire and Arran, Ayr, UK
| | - Sarah H Wild
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Christopher D Byrne
- Nutrition and Metabolism, Faculty of Medicine, University of Southampton, Southampton, UK
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, Southampton, UK
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15
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Goralska J, Razny U, Gruca A, Zdzienicka A, Micek A, Dembinska-Kiec A, Solnica B, Malczewska-Malec M. Plasma Cytokeratin-18 Fragment Level Reflects the Metabolic Phenotype in Obesity. Biomolecules 2023; 13:biom13040675. [PMID: 37189422 DOI: 10.3390/biom13040675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/05/2023] [Accepted: 04/12/2023] [Indexed: 05/17/2023] Open
Abstract
There is growing interest in the non-invasive identification and monitoring of the outcome of liver damage in obese patients. Plasma cytokeratin-18 (CK-18) fragment levels correlate with the magnitude of hepatocyte apoptosis and have recently been proposed to independently predict the presence of non-alcoholic steatohepatitis (NASH). The aim of the study was to analyze the associations of CK-18 with obesity and related complications: insulin resistance, impaired lipid metabolism and the secretion of hepatokines, adipokines and pro-inflammatory cytokines. The study involved 151 overweight and obese patients (BMI 25-40), without diabetes, dyslipidemia or apparent liver disease. Liver function was assessed based on alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT) and the fatty liver index (FLI). CK-18 M30 plasma levels, FGF-21, FGF-19 and cytokines were determined by ELISA. CK-18 values >150 U/l were accompanied by high ALT, GGT and FLI, insulin resistance, postprandial hypertriglyceridemia, elevated FGF-21 and MCP-1 and decreased adiponectin. ALT activity was the strongest independent factor influencing high CK-18 plasma levels, even after an adjustment for age, sex and BMI [β coefficient (95%CI): 0.40 (0.19-0.61)]. In conclusion, the applied CK-18 cut-off point at 150 U/l allows to distinguish between two metabolic phenotypes in obesity.
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Affiliation(s)
- Joanna Goralska
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Urszula Razny
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Anna Gruca
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Anna Zdzienicka
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Agnieszka Micek
- Institute of Nursing and Midwifery, Jagiellonian University Medical College; Michałowskiego 12, 31-126 Krakow, Poland
| | - Aldona Dembinska-Kiec
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Bogdan Solnica
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
| | - Malgorzata Malczewska-Malec
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland
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16
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Segna D, Mendoza YP, Lange NF, Rodrigues SG, Berzigotti A. Non-invasive tools for compensated advanced chronic liver disease and portal hypertension after Baveno VII - an update. Dig Liver Dis 2023; 55:326-335. [PMID: 36369196 DOI: 10.1016/j.dld.2022.10.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 11/10/2022]
Abstract
Non-invasive tests (NITs) and liver stiffness measurement (LSM) in particular, have entered clinical practice over 20 years ago as point-of-care tests to diagnose liver fibrosis in patients with compensated chronic liver disease. Since then, NITs use has evolved thanks to a large number of studies in all major etiologies of liver disease, and they have become important tools to stratify the risk of portal hypertension and liver-related events. The Baveno VII consensus workshop provided several novel recommendations regarding the use of well-established and novel NITs in the specific setting of portal hypertension screening, diagnosis and follow-up. The Baveno VII expert panels paid special attention to summarizing the existing data into simple clinical rules able to guide clinicians in their practice. The "rule of five" for LSM is a tool to stratify the risk of liver-related events, and LSM alone or in combination with platelet count, can be used now to rule-in and rule-out compensated advanced chronic liver disease (cACLD) and clinically significant portal hypertension, as well as to rule-out high-risk varices. Use of NITs in obese subjects with non-alcoholic fatty liver disease (NAFLD) and patients with viral hepatitis C that has been successfully treated, require specific knowledge. This review will update the reader on these aspects.
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Affiliation(s)
- Daniel Segna
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, BHH D115, Bern 3010, Switzerland
| | - Yuly P Mendoza
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, BHH D115, Bern 3010, Switzerland
| | - Naomi F Lange
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, BHH D115, Bern 3010, Switzerland; Graduate School for Health Sciences (GHS), University of Bern, Switzerland
| | - Susana G Rodrigues
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, BHH D115, Bern 3010, Switzerland
| | - Annalisa Berzigotti
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, BHH D115, Bern 3010, Switzerland.
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17
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Diagnostic Value of Non-invasive Liver Function Tests in Liver Fibrosis and Changes in These Parameters Post-metabolic Surgery. Obes Surg 2023; 33:548-554. [PMID: 36538211 DOI: 10.1007/s11695-022-06416-y] [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: 04/30/2022] [Revised: 12/01/2022] [Accepted: 12/09/2022] [Indexed: 02/01/2023]
Abstract
PURPOSE This study aimed to ascertain the diagnostic accuracy of non-invasive liver function tests in liver fibrosis and assess their changes after metabolic surgery. MATERIALS AND METHODS 1005 individuals with severe obesity who were referred for metabolic surgery were analysed. All participants had blood samples taken for liver enzymes and lipid profile. In addition, hepatic indexes, including AAR, APRI, NFS and Fibrosis-4 (FIB4), were checked. Furthermore, all participants underwent two-dimensional shear wave elastography (2D-SWE). All investigations were repeated 6-8 months after metabolic surgery. The receiver operating characteristic (ROC) curve and the area under the ROC curve was utilised to determine the optimal cut-off values for baseline study parameters. Logistic regression was applied to predict the relationship between study parameters-as predictors-and change in 2D-SWE. RESULTS AST/ALT (AAR) was the most sensitive (79%) pre-operative non-invasive serological marker for detecting liver fibrosis, whereas NAFLD Fibrosis Score (NFS) was the most specific (84%). AST/upper limit of the normal AST range × 100/platelets (× 109/L) (APRI) showed a positive correlation with 2D-SWE post-metabolic surgery (p-value = 0.021). Regression analysis from both adjusted and unadjusted models showed that baseline AAR was a predictor of postoperative liver status in terms of hepatic fibrosis. CONCLUSION AAR has a high sensitivity, whereas NFS exhibits a high specificity in diagnosing liver fibrosis. The authors recommend using both investigations in conjunction with 2D-SWE to increase the likelihood of detecting liver fibrosis.
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18
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Angelini G, Panunzi S, Castagneto-Gissey L, Pellicanò F, De Gaetano A, Pompili M, Riccardi L, Garcovich M, Raffaelli M, Ciccoritti L, Verrastro O, Russo MF, Vecchio FM, Casella G, Casella-Mariolo J, Papa L, Marini PL, Rubino F, le Roux CW, Bornstein S, Mingrone G. Accurate liquid biopsy for the diagnosis of non-alcoholic steatohepatitis and liver fibrosis. Gut 2023; 72:392-403. [PMID: 35820779 PMCID: PMC9872242 DOI: 10.1136/gutjnl-2022-327498] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/30/2022] [Indexed: 01/28/2023]
Abstract
OBJECTIVE Clinical diagnosis and approval of new medications for non-alcoholic steatohepatitis (NASH) require invasive liver biopsies. The aim of our study was to identify non-invasive biomarkers of NASH and/or liver fibrosis. DESIGN This multicentre study includes 250 patients (discovery cohort, n=100 subjects (Bariatric Surgery Versus Non-alcoholic Steato-hepatitis - BRAVES trial); validation cohort, n=150 (Liquid Biopsy for NASH and Liver Fibrosis - LIBRA trial)) with histologically proven non-alcoholic fatty liver (NAFL) or NASH with or without fibrosis. Proteomics was performed in monocytes and hepatic stellate cells (HSCs) with iTRAQ-nano- Liquid Chromatography - Mass Spectrometry/Mass Spectrometry (LC-MS/MS), while flow cytometry measured perilipin-2 (PLIN2) and RAB14 in peripheral blood CD14+CD16- monocytes. Neural network classifiers were used to predict presence/absence of NASH and NASH stages. Logistic bootstrap-based regression was used to measure the accuracy of predicting liver fibrosis. RESULTS The algorithm for NASH using PLIN2 mean florescence intensity (MFI) combined with waist circumference, triglyceride, alanine aminotransferase (ALT) and presence/absence of diabetes as covariates had an accuracy of 93% in the discovery cohort and of 92% in the validation cohort. Sensitivity and specificity were 95% and 90% in the discovery cohort and 88% and 100% in the validation cohort, respectively.The area under the receiver operating characteristic (AUROC) for NAS level prediction ranged from 83.7% (CI 75.6% to 91.8%) in the discovery cohort to 97.8% (CI 95.8% to 99.8%) in the validation cohort.The algorithm including RAB14 MFI, age, waist circumference, high-density lipoprotein cholesterol, plasma glucose and ALT levels as covariates to predict the presence of liver fibrosis yielded an AUROC of 95.9% (CI 87.9% to 100%) in the discovery cohort and 99.3% (CI 98.1% to 100%) in the validation cohort, respectively. Accuracy was 99.25%, sensitivity 100% and specificity 95.8% in the discovery cohort and 97.6%, 99% and 89.6% in the validation cohort. This novel biomarker was superior to currently used FIB4, non-alcoholic fatty liver disease fibrosis score and aspartate aminotransferase (AST)-to-platelet ratio and was comparable to ultrasound two-dimensional shear wave elastography. CONCLUSIONS The proposed novel liquid biopsy is accurate, sensitive and specific in diagnosing the presence and severity of NASH or liver fibrosis and is more reliable than currently used biomarkers. CLINICAL TRIALS Discovery multicentre cohort: Bariatric Surgery versus Non-Alcoholic Steatohepatitis, BRAVES, ClinicalTrials.gov identifier: NCT03524365.Validation multicentre cohort: Liquid Biopsy for NASH and Fibrosis, LIBRA, ClinicalTrials.gov identifier: NCT04677101.
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Affiliation(s)
- Giulia Angelini
- Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Simona Panunzi
- CNR-IASI,Consiglio Nazionale delle Ricerche, Istituto di Analisi dei Sistemi ed Informatica, Laboratorio di Biomatematica, Rome, Italy
| | | | - Francesca Pellicanò
- CNR-IASI,Consiglio Nazionale delle Ricerche, Istituto di Analisi dei Sistemi ed Informatica, Laboratorio di Biomatematica, Rome, Italy
| | - Andrea De Gaetano
- CNR-IASI,Consiglio Nazionale delle Ricerche, Istituto di Analisi dei Sistemi ed Informatica, Laboratorio di Biomatematica, Rome, Italy
| | - Maurizio Pompili
- Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Laura Riccardi
- Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Matteo Garcovich
- Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Marco Raffaelli
- Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Luigi Ciccoritti
- Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | | | - Fabio Maria Vecchio
- Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Pathology and Laboratory Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giovanni Casella
- Department of Surgical Sciences, University of Rome La Sapienza, Rome, Italy
| | | | - Luigi Papa
- San Camillo Forlanini Foundation, Roma, Italy
| | | | - Francesco Rubino
- Bariatric and Metabolic Surgery; King's College Hospital, London, UK
| | - Carel W le Roux
- Diabetes Complications Research Centre, Conway Institute, University College Dublin, Dublin, Ireland
| | - Stefan 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, UK
| | - Geltrude Mingrone
- Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK
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19
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Younossi Z, Alkhouri N, Cusi K, Isaacs S, Kanwal F, Noureddin M, Loomba R, Ravendhran N, Lam B, Nader K, Racila A, Nader F, Henry L. A practical use of noninvasive tests in clinical practice to identify high-risk patients with nonalcoholic steatohepatitis. Aliment Pharmacol Ther 2023; 57:304-312. [PMID: 36511349 DOI: 10.1111/apt.17346] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/20/2022] [Accepted: 11/27/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Patients with nonalcoholic fatty liver disease (NAFLD) with type 2 diabetes (T2D) or other components of metabolic syndrome are at high risk for disease progression. We proposed an algorithm to identify high-risk NAFLD patients in clinical practice using noninvasive tests (NITs). METHODS Evidence about risk stratification of NAFLD using validated NITs was reviewed by a panel of NASH Experts. Using the most recent evidence regarding the performance of NITs and their application in clinical practice were used to develop an easy-to-use algorithm for risk stratification of NAFLD patients seen in primary care, endocrinology and gastroenterology practices. RESULTS The proposed algorithm uses a three-step process to identify NAFLD patients who are potentially at high risk for adverse outcomes. The first step is to use clinical data to identify most patients who are at risk for having potentially progressive NAFLD (e.g. having T2D or multiple components of metabolic syndrome). The second step is to calculate the FIB-4 score as a NIT that can further risk stratifying individuals who are at low risk for progressive liver disease and can be managed by their primary healthcare providers to manage their cardiometabolic comorbidities. The third step is to use second-line NITs (transient elastography or enhanced liver fibrosis tests) to identify those who at high risk for progressive liver disease and should be considered for specially care by providers with NASH expertise. CONCLUSIONS The use of this simple clinical algorithm can identify and assist in managing patients with NAFLD at high risk for adverse outcomes.
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Affiliation(s)
- Zobair Younossi
- Inova Medicine, Inova Health System, Falls Church, Virginia, USA.,Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA.,Center for Liver Diseases, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, Virginia, USA
| | | | - Ken Cusi
- Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, Florida, USA
| | - Scott Isaacs
- Division of Endocrinology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Fasiha Kanwal
- Baylor College of Medicine, Michael E.D. Bakey VA Medical Center, Houston, Texas, USA
| | - Mazen Noureddin
- Fatty Liver Program at Cedars-Sinai Medical Center, West Hollywood, California, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Natarajan Ravendhran
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Brian Lam
- Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA.,Center for Liver Diseases, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, Virginia, USA
| | - Khalil Nader
- George Washington Medical Faculty Associates, Washington, District of Columbia, USA.,Center for Outcomes Research in Liver Diseases, The Global NASH Council, Washington, District of Columbia, USA
| | - Andrei Racila
- Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA.,Center for Liver Diseases, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, Virginia, USA.,Center for Outcomes Research in Liver Diseases, The Global NASH Council, Washington, District of Columbia, USA
| | - Fatema Nader
- Center for Outcomes Research in Liver Diseases, The Global NASH Council, Washington, District of Columbia, USA
| | - Linda Henry
- Liver and Obesity Research Program, Inova Health System, Falls Church, Virginia, USA.,Center for Liver Diseases, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, Virginia, USA.,Center for Outcomes Research in Liver Diseases, The Global NASH Council, Washington, District of Columbia, USA
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20
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Shi YW, Fan JG. Surveillance of the progression and assessment of treatment endpoints for nonalcoholic steatohepatitis. Clin Mol Hepatol 2023; 29:S228-S243. [PMID: 36521452 PMCID: PMC10029951 DOI: 10.3350/cmh.2022.0401] [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: 11/15/2022] [Accepted: 12/10/2022] [Indexed: 12/23/2022] Open
Abstract
Nonalcoholic steatohepatitis (NASH) is an aggressive form of nonalcoholic fatty liver disease (NAFLD) characterized by steatosis-associated inflammation and liver injury. Without effective treatment or management, NASH can have life-threatening outcomes. Evaluation and identification of NASH patients at risk for adverse outcomes are therefore important. Key issues in screening NASH patients are the assessment of advanced fibrosis, differentiation of NASH from simple steatosis, and monitoring of dynamic changes during follow-up and treatment. Currently, NASH staging and evaluation of the effectiveness for drugs still rely on pathological diagnosis, despite sample error issues and the subjectivity associated with liver biopsy. Optimizing the pathological assessment of liver biopsy samples and developing noninvasive surrogate methods for accessible, accurate, and safe evaluation are therefore critical. Although noninvasive methods including elastography, serum soluble biomarkers, and combined models have been implemented in the last decade, noninvasive diagnostic measurements are not widely applied in clinical practice. More work remains to be done in establishing cost-effective strategies both for screening for at-risk NASH patients and identifying changes in disease severity. In this review, we summarize the current state of noninvasive methods for detecting steatosis, steatohepatitis, and fibrosis in patients with NASH, and discuss noninvasive assessments for screening at-risk patients with a focus on the characteristics that should be monitored at follow-up.
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Affiliation(s)
- Yi-Wen Shi
- Center for Fatty Liver, Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Jian-Gao Fan
- Center for Fatty Liver, Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Shanghai, China
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21
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Stern C, Castera L. Identification of high-risk subjects in nonalcoholic fatty liver disease. Clin Mol Hepatol 2023; 29:S196-S206. [PMID: 36472050 PMCID: PMC10029956 DOI: 10.3350/cmh.2022.0431] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/04/2022] [Indexed: 12/12/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is becoming the most common liver disease worldwide, and its burden is expected to increase due to the growing epidemic of obesity and diabetes. The key challenge among NAFLD patients is to identify those with advanced fibrosis (F3F4), who are at high risk of developing complications and will benefit from specialized management and treatment with new pharmacotherapies when they are approved. Liver biopsy appears unrealistic and unsuitable in practice, given the large number of high-risk patients and its well-known limitations. Non-invasive sequential algorithms using fibrosis-4 index as first-line test, followed by vibration-controlled transient elastography or patented blood test, are the best strategy for case finding of high-risk subjects. In fact, they are now recommended by several international guidelines, and should be used and disseminated to increase awareness among physicians beyond liver clinics where most NAFLD patients are seen.
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Affiliation(s)
- Christiane Stern
- Service d'Hépatologie, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris (AP-HP), Clichy, France
| | - Laurent Castera
- Service d'Hépatologie, Hôpital Beaujon, Assistance Publique-Hôpitaux de Paris (AP-HP), Clichy, France
- Université Paris Cité, UMR 1149 (CRI), INSERM, Paris, France
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22
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Lundholm MD, Bena J, Zhou K, Tsushima Y, Kashyap SR. Prevalence and clinical determinants of non-alcoholic fatty liver disease by liver scores in adults with type 1 diabetes. J Diabetes Complications 2023; 37:108405. [PMID: 36669324 DOI: 10.1016/j.jdiacomp.2023.108405] [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: 10/18/2022] [Revised: 01/06/2023] [Accepted: 01/10/2023] [Indexed: 01/15/2023]
Abstract
AIMS To investigate the prevalence and clinical risk factors for non-alcoholic fatty liver disease (NAFLD) in type 1 diabetes (T1DM) by liver scores. METHODS A retrospective, unicenter, cross-sectional analysis was performed of adults with T1DM from 2015 to 2018. Steatosis scores (hepatic steatosis index-HSI, Framingham steatosis index-FSI) and fibrosis scores (FIB-4 index, AST-to-platelet ratio index-APRI) were associated with clinical parameters. RESULTS We identified 447 patients, 38 ± 14.5 yrs, 54 % female, BMI 28 ± 5.9 kg/m2. Liver steatosis was prevalent at 61 % by HSI ≥ 36 and 52 % by FSI ≥ 23. A majority of these individuals had normal liver transaminase levels. The presence of advanced fibrosis was 4 % by APRI > 0.7 and 4 % by FIB-4 > 2.67. BMI ≥ 25 kg/m2 correlated with steatosis scores (P < 0.001) but not fibrosis scores. Older age (≥40 yrs), hypertension, dyslipidemia, and history of cardiovascular disease were associated with steatosis markers. Only 21 % had any abdominal imaging, 2 % had hepatology referral and 1 % had a liver biopsy. Glucagon-like peptide-1 agonist was prescribed in 5 % and thiazolidinedione in 4 %. CONCLUSION Liver scores indicating steatosis but not fibrosis is common in adults with T1DM with obesity and/or metabolic syndrome, and is associated with older age, hypertension, and dyslipidemia. NAFLD is under-diagnosed and under-investigated; a minority of patients have had any liver evaluation or treatment.
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Affiliation(s)
- Michelle D Lundholm
- Department of Endocrinology, Diabetes, and Metabolism, Cleveland Clinic, Cleveland, OH 44195, United States of America
| | - James Bena
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, United States of America
| | - Keren Zhou
- Department of Endocrinology, Diabetes, and Metabolism, Cleveland Clinic, Cleveland, OH 44195, United States of America
| | - Yumiko Tsushima
- Department of Endocrinology, University Hospitals, Cleveland, OH 44106, United States of America
| | - Sangeeta R Kashyap
- Department of Endocrinology, Diabetes, and Metabolism, Cleveland Clinic, Cleveland, OH 44195, United States of America.
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23
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Belfort-DeAguiar R, Lomonaco R, Cusi K. Approach to the Patient With Nonalcoholic Fatty Liver Disease. J Clin Endocrinol Metab 2023; 108:483-495. [PMID: 36305273 DOI: 10.1210/clinem/dgac624] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 10/13/2022] [Indexed: 01/20/2023]
Abstract
CONTEXT Nonalcoholic fatty liver disease (NAFLD) is associated with obesity and type 2 diabetes (T2D), causing substantial burden from hepatic and extrahepatic complications. However, endocrinologists often follow people who are at the highest risk of its more severe form with nonalcoholic steatohepatitis or NASH (i.e., T2D or obesity with cardiometabolic risk factors). Endocrinologists are in a unique position to prevent cirrhosis in this population with early diagnosis and treatment. OBJECTIVE This work aims to offer endocrinologists a practical approach for the management of patients with NAFLD, including diagnosis, fibrosis risk stratification, and referral to hepatologists. PATIENTS (1) An asymptomatic patient with obesity and cardiometabolic risk factors, found to have hepatic steatosis; (2) a patient with T2D and NASH with clinically significant liver fibrosis; and (3) a liver transplant recipient with a history of NASH cirrhosis, with significant weight regain and with recurrent NAFLD on the transplanted organ. CONCLUSION NASH can be reversed with proper management of obesity and of T2D. While no agents are currently approved for the treatment of NASH, treatment should include lifestyle changes and a broader use of structured weight-loss programs, obesity pharmacotherapy, and bariatric surgery. Diabetes medications such as pioglitazone and some glucagon-like peptide 1 receptor agonists may also improve liver histology and cardiometabolic health. Sodium-glucose cotransporter-2 inhibitors and insulin may ameliorate steatosis, but their effect on steatohepatitis remains unclear. Awareness by endocrinologists about, establishing an early diagnosis of fibrosis (ie, FIB-4, liver elastography) in patients at high-risk of cirrhosis, long-term monitoring, and timely referral to the hepatologist are all critical to curve the looming epidemic of cirrhosis from NAFLD.
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Affiliation(s)
- Renata Belfort-DeAguiar
- Internal Medicine Department, Endocrinology Section, Yale University, New Haven, Connecticut 06520, USA
| | - Romina Lomonaco
- Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, Florida 32610, USA
| | - Kenneth Cusi
- Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, Florida 32610, USA
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24
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Cusi K, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S49-S67. [PMID: 36507651 PMCID: PMC9810472 DOI: 10.2337/dc23-s004] [Citation(s) in RCA: 62] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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25
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Kamada Y, Nakamura T, Isobe S, Hosono K, Suama Y, Ohtakaki Y, Nauchi A, Yasuda N, Mitsuta S, Miura K, Yamamoto T, Hosono T, Yoshida A, Kawanishi I, Fukushima H, Kinoshita M, Umeda A, Kinoshita Y, Fukami K, Miyawaki T, Fujii H, Yoshida Y, Kawanaka M, Hyogo H, Morishita A, Hayashi H, Tobita H, Tomita K, Ikegami T, Takahashi H, Yoneda M, Jun DW, Sumida Y, Okanoue T, Nakajima A. SWOT analysis of noninvasive tests for diagnosing NAFLD with severe fibrosis: an expert review by the JANIT Forum. J Gastroenterol 2023; 58:79-97. [PMID: 36469127 PMCID: PMC9735102 DOI: 10.1007/s00535-022-01932-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 10/12/2022] [Indexed: 12/11/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. Nonalcoholic steatohepatitis (NASH) is an advanced form of NAFLD can progress to liver cirrhosis and hepatocellular carcinoma (HCC). Recently, the prognosis of NAFLD/NASH has been reported to be dependent on liver fibrosis degree. Liver biopsy remains the gold standard, but it has several issues that must be addressed, including its invasiveness, cost, and inter-observer diagnosis variability. To solve these issues, a variety of noninvasive tests (NITs) have been in development for the assessment of NAFLD progression, including blood biomarkers and imaging methods, although the use of NITs varies around the world. The aim of the Japan NASH NIT (JANIT) Forum organized in 2020 is to advance the development of various NITs to assess disease severity and/or response to treatment in NAFLD patients from a scientific perspective through multi-stakeholder dialogue with open innovation, including clinicians with expertise in NAFLD/NASH, companies that develop medical devices and biomarkers, and professionals in the pharmaceutical industry. In addition to conventional NITs, artificial intelligence will soon be deployed in many areas of the NAFLD landscape. To discuss the characteristics of each NIT, we conducted a SWOT (strengths, weaknesses, opportunities, and threats) analysis in this study with the 36 JANIT Forum members (16 physicians and 20 company representatives). Based on this SWOT analysis, the JANIT Forum identified currently available NITs able to accurately select NAFLD patients at high risk of NASH for HCC surveillance/therapeutic intervention and evaluate the effectiveness of therapeutic interventions.
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Affiliation(s)
- Yoshihiro Kamada
- Department of Advanced Metabolic Hepatology, Osaka University Graduate School of Medicine, 1-7, Yamadaoka, Suita, Osaka, 565-0871 Japan
| | - Takahiro Nakamura
- Medicine Division, Nippon Boehringer Ingelheim Co., Ltd., 2-1-1, Osaki, Shinagawa-Ku, Tokyo, 141-6017 Japan
| | - Satoko Isobe
- FibroScan Division, Integral Corporation, 2-25-2, Kamiosaki, Shinagawa-Ku, Tokyo, 141-0021 Japan
| | - Kumiko Hosono
- Immunology, Hepatology & Dermatology Medical Franchise Dept., Medical Division, Novartis Pharma K.K., 1-23-1, Toranomon, Minato-Ku, Tokyo, 105-6333 Japan
| | - Yukiko Suama
- Medical Information Services, Institute of Immunology Co., Ltd., 1-1-10, Koraku, Bunkyo-Ku, Tokyo, 112-0004 Japan
| | - Yukie Ohtakaki
- Product Development 1St Group, Product Development Dept., Fujirebio Inc., 2-1-1, Nishishinjuku, Shinjuku-Ku, Tokyo, 163-0410 Japan
| | - Arihito Nauchi
- Academic Department, GE Healthcare Japan, 4-7-127, Asahigaoka, Hino, Tokyo, 191-8503 Japan
| | - Naoto Yasuda
- Ultrasound Business Area, Siemens Healthcare KK, 1-11-1, Osaki, Shinagawa-Ku, Tokyo, 141-8644 Japan
| | - Soh Mitsuta
- FibroScan Division, Integral Corporation, 2-25-2, Kamiosaki, Shinagawa-Ku, Tokyo, 141-0021 Japan
| | - Kouichi Miura
- Department of Medicine, Division of Gastroenterology, Jichi Medical University, 3311-1, Yakushiji, Shimotsuke, Tochigi, 329-0498 Japan
| | - Takuma Yamamoto
- Cardiovascular and Diabetes, Product Marketing Department, Kowa Company, Ltd., 3-4-10, Nihonbashi Honcho, Chuo-Ku, Tokyo, 103-0023 Japan
| | - Tatsunori Hosono
- Clinical Development & Operations Japan, Nippon Boehringer Ingelheim Co., Ltd., 2-1-1, Osaki, Shinagawa-Ku, Tokyo, 141-6017 Japan
| | - Akihiro Yoshida
- Medical Affairs Department, Kowa Company, Ltd., 3-4-14, Nihonbashi Honcho, Chuo-Ku, Tokyo, 103-8433 Japan
| | - Ippei Kawanishi
- R&D Planning Department, EA Pharma Co., Ltd., 2-1-1, Irifune, Chuo-Ku, Tokyo, 104-0042 Japan
| | - Hideaki Fukushima
- Diagnostics Business Area, Siemens Healthcare Diagnostics KK, 1-11-1, Osaki, Shinagawa-Ku, Tokyo, 141-8673 Japan
| | - Masao Kinoshita
- Marketing Dep. H.U. Frontier, Inc., Shinjuku Mitsui Building, 2-1-1, Nishishinjuku, Shinjuku-Ku, Tokyo, 163-0408 Japan
| | - Atsushi Umeda
- Clinical Development Dept, EA Pharma Co., Ltd., 2-1-1, Irifune, Chuo-Ku, Tokyo, 104-0042 Japan
| | - Yuichi Kinoshita
- Global Drug Development Division, Novartis Pharma KK, 1-23-1, Toranomon, Minato-Ku, Tokyo, 105-6333 Japan
| | - Kana Fukami
- 2Nd Product Planning Dept, 2Nd Product Planning Division, Fujirebio Inc, 2-1-1, Nishishinjuku, Shinjuku-Ku, Tokyo, 163-0410 Japan
| | - Toshio Miyawaki
- Medical Information Services, Institute of Immunology Co., Ltd., 1-1-10, Koraku, Bunkyo-Ku, Tokyo, 112-0004 Japan
| | - Hideki Fujii
- Departments of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahi-Machi, Abeno-Ku, Osaka, Osaka 545-8585 Japan
| | - Yuichi Yoshida
- Department of Gastroenterology and Hepatology, Suita Municipal Hospital, 5-7, Kishibe Shinmachi, Suita, Osaka 564-8567 Japan
| | - Miwa Kawanaka
- Department of General Internal Medicine2, Kawasaki Medical School, Kawasaki Medical Center, 2-6-1, Nakasange, Kita-Ku, Okayama, Okayama 700-8505 Japan
| | - Hideyuki Hyogo
- Department of Gastroenterology, JA Hiroshima Kouseiren General Hospital, 1-3-3, Jigozen, Hatsukaichi, Hiroshima 738-8503 Japan ,Hyogo Life Care Clinic Hiroshima, 6-34-1, Enkobashi-Cho, Minami-Ku, Hiroshima, Hiroshima 732-0823 Japan
| | - Asahiro Morishita
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, 1750-1, Oaza Ikenobe, Miki-Cho, Kita-Gun, Kagawa 761-0793 Japan
| | - Hideki Hayashi
- Department of Gastroenterology and Hepatology, Gifu Municipal Hospital, 7-1, Kashima-Cho, Gifu, Gifu 500-8513 Japan
| | - Hiroshi Tobita
- Division of Hepatology, Shimane University Hospital, 89-1, Enya-Cho, Izumo, Shimane 693-8501 Japan
| | - Kengo Tomita
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Defense Medical College, 3-2, Namiki, Tokorozawa, Saitama 359-8513 Japan
| | - Tadashi Ikegami
- Division of Gastroenterology and Hepatology, Tokyo Medical University Ibaraki Medical Center, 3-20-1, Chuo, Ami-Machi, Inashiki-Gun, Ibaraki, 300-0395 Japan
| | - Hirokazu Takahashi
- Liver Center, Faculty of Medicine, Saga University Hospital, Saga University, 5-1-1, Nabeshima, Saga, Saga 849-8501 Japan
| | - Masato Yoneda
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine Graduate School of Medicine, 3-9, Fukuura, Kanazawa-Ku, Yokohama, Kanagawa 236-0004 Japan
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, 04763 Korea
| | - Yoshio Sumida
- Division of Hepatology and Pancreatology, Department of Internal Medicine, Aichi Medical University, 21 Yazako Karimata, Nagakute, Aichi, 480-1195, Japan.
| | - Takeshi Okanoue
- Department of Gastroenterology & Hepatology, Saiseikai Suita Hospital, Osaka, 1-2, Kawazono-Cho, Suita, Osaka 564-0013 Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine Graduate School of Medicine, 3-9, Fukuura, Kanazawa-Ku, Yokohama, Kanagawa 236-0004 Japan
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26
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Valenti L, Tripodi A, La Mura V, Pelusi S, Bianco C, Scalambrino E, Margarita S, Malvestiti F, Ronzoni L, Clerici M, D’Ambrosio R, Fraquelli M, Carpani R, Prati D, Peyvandi F. Interplay between coagulation and determinants of liver disease in patients with metabolic dysfunction. JHEP Rep 2022; 4:100598. [PMID: 36313186 PMCID: PMC9597122 DOI: 10.1016/j.jhepr.2022.100598] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background & Aims The aim of this study was to examine the determinants of the interplay between liver damage and the coagulation balance in individuals at risk of non-alcoholic fatty liver disease (NAFLD). Methods We considered 581 healthy participants with ≥3 metabolic alterations undergoing clinical and genomic evaluation, measurement of liver stiffness (LSM) and controlled attenuation parameter (CAP) by Fibroscan, Pro-C3, coagulation balance (von Willebrand factor [vWF], factor VIII/protein C ratio [F8/PC] as the main outcome, D-dimer as marker of coagulation/fibrinolysis activation). Results Liver fibrosis indices (both Fibrosis-4 [FIB-4] and liver stiffness measurement [LSM]), but not liver fat (CAP), were independently associated with higher F8/PC ratio (p <0.01), triggering D-dimer formation (p = 2E-21). In keeping with a causal role of liver damage in determining a procoagulant status, the main fatty liver inherited risk variant PNPLA3 p.I148M was independently associated with the F8/PC ratio (p = 0.048). Vice versa, the main determinant of the coagulation balance was ABO locus variation (p = 1E-16), through the impact on vWF (p = 8E-26). Both rs687289 ABO and factor V Leiden were independently associated with higher Pro-C3 (p <0.025), with the effect of ABO being mediated by the impact on vWF (p = 5E-10 for association with Pro-C3). Mendelian randomisation analysis was consistent with a causal association of procoagulant imbalance with heightened fibrogenesis (p = 0.001 at robust MR-Egger for Pro-C3), but not with fibrosis (for LSM; p = not significant). Conclusions In individuals with metabolic dysfunction, liver damage severity and possibly the PNPLA3 p.I148M variant were associated with procoagulant status. Vice versa, evaluation of inherited variants in ABO and other genes influencing coagulation was consistent with a causal role of procoagulant imbalance in activation of early stages of fibrogenesis. Lay summary In individuals with metabolic alterations at risk of metabolic fatty liver disease, there is a tendency toward heightened blood coagulation (clotting), but the cause and the impact on the progression of liver disease remain unclear. Here we show that liver damage severity and metabolic alterations, but not hepatic fat, are mainly responsible for heightened coagulation in patients with metabolic fatty liver disease. By using genetic approaches, we showed that hepatic inflammation due to lipotoxicity may favour heightened coagulation, which in turn can trigger liver fibrosis, igniting a vicious cycle that leads to progressive liver disease. There is a complex interplay between liver damage and the coagulation balance in individuals at risk of non-alcoholic fatty liver disease. Non-invasive indices and genetic determinants of liver damage, but not fat, were associated with a procoagulant imbalance. Vice versa, genetic predisposition to hypercoagulability was associated with fibrogenesis. In individuals with metabolic dysfunction, liver damage appears to promote coagulation, which in turn can activate fibrogenesis.
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