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Luukkonen PK. Subtypes of MASLD confer distinct clinical trajectories. J Hepatol 2025; 82:1138-1139. [PMID: 40102074 DOI: 10.1016/j.jhep.2025.02.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2025] [Accepted: 02/24/2025] [Indexed: 03/20/2025]
Affiliation(s)
- Panu K Luukkonen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland; Abdominal Center, Helsinki University Hospital, Helsinki, Finland
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2
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Huangfu G, Chan DC, Pang J, Jaltotage B, Watts GF, Lan NSR, Bell DA, Ihdayhid AR, Ayonrinde OT, Dwivedi G. Triglyceride to High-Density Lipoprotein Cholesterol Ratio as a Marker of Subclinical Coronary Atherosclerosis and Hepatic Steatosis in Familial Hypercholesterolemia. Endocr Pract 2025; 31:776-783. [PMID: 40021123 DOI: 10.1016/j.eprac.2025.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2024] [Revised: 02/18/2025] [Accepted: 02/19/2025] [Indexed: 03/03/2025]
Abstract
OBJECTIVE Features of the cardiometabolic syndrome are prevalent in patients with familial hypercholesterolemia (FH). Triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, a surrogate marker of insulin resistance, may be a robust predictor of cardiac events in the general population. We explored the association between TG/HDL-C ratio and high-risk coronary artery plaque (HRP) and hepatic steatosis (HS) in asymptomatic patients with FH. METHODS We conducted a cross-sectional study of 290 patients (mean age = 49 years, 44% male) who underwent computed tomography coronary angiography for cardiovascular risk assessment. HRP and HS were assessed from computed tomography coronary angiography, and TG/HDL-C ratio was derived from the fasting lipid panel collected around time of scanning. Associations were assessed using binary logistic and Kaplan-Meier analysis. RESULTS TG/HDL-C ratio was significantly associated with HRP (odds ratio, 1.27; 95% CI, 1.04-1.56; P = .020) and HS (odds ratio, 1.71; 95% CI, 1.17-2.51; P = .005) after adjusting for age, body mass index, smoking, and coronary calcium score. TG/HDL-C ratio was associated with HRP in patients treated with lipid-lowering medications (P = .042) and inclusion in a predictive model outperformed the FH-Risk-Score (area under receiver operating characteristic 0.74 vs 0.63; P = .004). An elevated TG/HDL-C ratio predicted myocardial infarction or coronary revascularization over a median follow-up of 91 months with 10 cardiac events recorded (P = .043). TG/HDL-C ratio was strongly positively correlated (P < .001 for all) with markers of cardiometabolic dysfunction: lipid accumulation product (r = 0.81), visceral adiposity index (r = 0.96), and triglyceride-glucose index (r = 0.91). CONCLUSION TG/HDL-C ratio was strongly associated with HRP, HS, and cardiac events in patients with FH treated with long-term cholesterol-lowering therapy.
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Affiliation(s)
- Gavin Huangfu
- Department of Cardiology, Fiona Stanley Hospital, Murdoch, Western Australia, Australia; Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia; Cardiovascular Science and Diabetes Program, Harry Perkins Institute of Medical Research, Murdoch, Western Australia, Australia
| | - Dick C Chan
- Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia
| | - Jing Pang
- Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia
| | - Biyanka Jaltotage
- Department of Cardiology, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Gerald F Watts
- Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia; Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Nick S R Lan
- Department of Cardiology, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Damon A Bell
- Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia; Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia; PathWest Laboratory Medicine, Department of Biochemistry, Royal Perth Hospital and Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Abdul R Ihdayhid
- Department of Cardiology, Fiona Stanley Hospital, Murdoch, Western Australia, Australia; Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia; Faculty of Health Sciences, Curtin Medical School, Curtin University, Bentley, Western Australia, Australia
| | - Oyekoya T Ayonrinde
- Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia; Faculty of Health Sciences, Curtin Medical School, Curtin University, Bentley, Western Australia, Australia; Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.
| | - Girish Dwivedi
- Department of Cardiology, Fiona Stanley Hospital, Murdoch, Western Australia, Australia; Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, Western Australia, Australia; Cardiovascular Science and Diabetes Program, Harry Perkins Institute of Medical Research, Murdoch, Western Australia, Australia; Department of Medicine (Cardiology) and Radiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
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3
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Xue H, Wang L, Sun D, Wu Y, Yu C, Huang Y, Chan SO, Ling W, Lv J, Li L, Chen X, Pang Y, Yu C. Associations of Alcohol Consumption and Genetic Predisposition to Hepatic Steatosis With Liver-Related Events: Results From Large Population-Based Cohort Studies. Gastroenterology 2025:S0016-5085(25)00712-7. [PMID: 40379147 DOI: 10.1053/j.gastro.2025.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 03/30/2025] [Accepted: 04/10/2025] [Indexed: 05/19/2025]
Abstract
BACKGROUND & AIMS The new classification for steatotic liver disease identifies 3 phenotypes based on alcohol consumption. The aim of this study was to evaluate the associations between alcohol intake and liver-related events (LREs) across different drinking categories and whether genetic predisposition influences these associations. METHODS Data from 301,673 UK Biobank participants were analyzed. Alcohol consumption was self-reported and categorized by weekly intake as mild (< 140 g for females and < 210 g for males), moderate (140-350 g for females and 210-420 g for males), and heavy (> 350 g in females and > 420 g for males). A polygenic risk score based on 5 well-known single nucleotide polymorphisms associated with hepatic steatosis was calculated. Hazard ratios (HRs) and 95% CIs were calculated using Cox proportional hazard models. The analysis was validated in 47,252 participants from China Kadoorie Biobank. RESULTS During a median follow-up of 12.8 years, 1742 incident cases of LREs were documented. The multivariable-adjusted HRs per SD increment in alcohol intake for LREs were 0.95 (95% CI, 0.89-1.02) among mild drinkers, 1.23 (95% CI, 1.10-1.37) among moderate drinkers, and 1.18 (95% CI, 1.14-1.22) among heavy drinkers. The associations appeared stronger in those with high genetic risk. Compared with adults with low genetic risk and mild alcohol consumption, those with high genetic risk and heavy alcohol consumption had higher risks of LREs (HR, 6.50; 95% CI, 5.26-8.04; P for interaction < .001). Similar findings were observed in China Kadoorie Biobank. CONCLUSIONS Associations between alcohol intake and LREs vary across different drinking categories. Individuals with a higher genetic risk for steatotic liver disease appear more susceptible to alcohol.
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Affiliation(s)
- Hongliang Xue
- Department of Nutrition, School of Public Health, Guangzhou Medical University, Guangzhou, China; The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Liqing Wang
- Department of Neurology, Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
| | - Yuankai Wu
- Department of Infectious Diseases, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
| | - Yating Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Sun On Chan
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Wenhua Ling
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
| | - Xu Chen
- Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China; Research Institute for Future Food, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China.
| | - Chao Yu
- Medical Examination Center, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
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4
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Romeo S, Vidal-Puig A, Husain M, Ahima R, Arca M, Bhatt DL, Diehl AM, Fontana L, Foo R, Frühbeck G, Kozlitina J, Lonn E, Pattou F, Plat J, Quaggin SE, Ridker PM, Rydén M, Segata N, Tuttle KR, Verma S, Roeters van Lennep J, Benn M, Binder CJ, Jamialahmadi O, Perkins R, Catapano AL, Tokgözoğlu L, Ray KK. Clinical staging to guide management of metabolic disorders and their sequelae: a European Atherosclerosis Society consensus statement. Eur Heart J 2025:ehaf314. [PMID: 40331343 DOI: 10.1093/eurheartj/ehaf314] [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] [Indexed: 05/08/2025] Open
Abstract
Obesity rates have surged since 1990 worldwide. This rise is paralleled by increases in pathological processes affecting organs such as the heart, liver, and kidneys, here termed systemic metabolic disorders (SMDs). For clinical management of SMD, the European Atherosclerosis Society proposes a pathophysiology-based system comprising three stages: Stage 1, where metabolic abnormalities such as dysfunctional adiposity and dyslipidaemia occur without detectable organ damage; Stage 2, which involves early organ damage manifested as Type 2 diabetes, asymptomatic diastolic dysfunction, metabolic-associated steatohepatitis (MASH), and chronic kidney disease (CKD); and Stage 3, characterized by more advanced organ damage affecting multiple organs. Various forms of high-risk obesity, driven by maintained positive energy balance, are the most common cause of SMD, leading to ectopic lipid accumulation and insulin resistance. This progression affects various organs, promoting comorbidities such as hypertension and atherogenic dyslipidaemia. Genetic factors influence SMD susceptibility, and ethnic disparities in SMD are attributable to genetic and socioeconomic factors. Key SMD features include insulin resistance, inflammation, pre-diabetes, Type 2 diabetes, MASH, hypertension, CKD, atherogenic dyslipidaemia, and heart failure. Management strategies involve lifestyle changes, pharmacotherapy, and metabolic surgery in severe cases, with emerging treatments focusing on genetic approaches. The staging system provides a structured approach to understanding and addressing the multi-faceted nature of SMD, which is crucial for improving health outcomes. Categorization of SMD abnormalities by presence and progression is aimed to improve awareness of a multi-system trait and encourage a tailored and global approach to treatment, ultimately aiming to reduce the burden of obesity-related comorbidities.
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Affiliation(s)
- Stefano Romeo
- Department of Medicine, H7 Medicin, Huddinge, H7 Endokrinologi och Diabetes Romeo, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Endocrinology, Karolinska University Hospital Huddinge, 141 57 Huddinge, Stockholm, Sweden
- Department of Molecular and Clinical Medicine/Wallenberg Laboratory, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden
- Clinical Nutrition Unit, Department of Medical and Surgical Sciences, University Magna Graecia, Viale Europa, 88100 Catanzaro, Italy
| | - Antonio Vidal-Puig
- MRC Metabolic Diseases Unit, Institute of Metabolic Science, University of Cambridge, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
- Centro de Investigacion Principe Felipe, C/ d'Eduardo Primo Yufera, 3, 46012 Valencia, Spain
- Cambridge University Nanjing Centre of Technology and Innovation, No. 23, Rongyue Road, Jiangbei New Area, Nanjing, Jiangsu, China
| | - Mansoor Husain
- Ted Rogers Centre for Heart Research, Department of Medicine, University of Toronto, 661 University Avenue, Toronto, ON, Canada M5G 1M1
| | - Rexford Ahima
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marcello Arca
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
- Unit of Internal Medicine and Metabolic Diseases, Hospital Policlinico Umberto I, Rome, Italy
| | - Deepak L Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anna Mae Diehl
- Division of Gastroenterology, Department of Medicine, Duke University, Durham, NC, USA
| | - Luigi Fontana
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Roger Foo
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, National University Health Systems, Singapore
- Cardiovascular Metabolic Disease Translational Research Programme, National University Health Systems, Singapore
| | - Gema Frühbeck
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
- Metabolic Research Laboratory, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
- Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Metabolic Research Laboratory, Clínica Universidad de Navarra, Pamplona, Spain
| | - Julia Kozlitina
- The Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Eva Lonn
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Francois Pattou
- Department of Endocrine and Metabolic Surgery, CHU Lille, University of Lille, Inserm, Institut Pasteur Lille, Lille, France
| | - Jogchum Plat
- Department of Nutrition and Movement Sciences, NUTRIM School of Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Susan E Quaggin
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Division of Nephrology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Paul M Ridker
- Center for Cardiovascular Disease Prevention, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mikael Rydén
- Department of Medicine (H7), Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Katherine R Tuttle
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA
| | - Subodh Verma
- Division of Cardiac Surgery, Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada
| | - Jeanine Roeters van Lennep
- Department of Internal Medicine, Cardiovascular Institute, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Marianne Benn
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Centre of Diagnostic Investigation, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christoph J Binder
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Oveis Jamialahmadi
- Department of Molecular and Clinical Medicine/Wallenberg Laboratory, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden
| | - Rosie Perkins
- Department of Molecular and Clinical Medicine/Wallenberg Laboratory, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden
| | - Alberico L Catapano
- Center for the Study of Atherosclerosis, IRCCS MultiMedica, Sesto S. Giovanni, Milan, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Lale Tokgözoğlu
- Department of Cardiology, Hacettepe University Medical Faculty, Ankara, Turkey
| | - Kausik K Ray
- Imperial Centre for Cardiovascular Disease Prevention, Department of Primary Care and Public Health, Imperial College, London, UK
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Lonardo A, Targher G. Not all fat is alike in MASLD. J Hepatol 2025; 82:e271-e272. [PMID: 39701295 DOI: 10.1016/j.jhep.2024.12.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 12/06/2024] [Accepted: 12/12/2024] [Indexed: 12/21/2024]
Affiliation(s)
- Amedeo Lonardo
- Department of Internal Medicine, Azienda Ospedaliero-Universitaria di Modena Ospedale (-2023) Ospedale Civiile di Baggiovara Modena, Italy.
| | - Giovanni Targher
- Department of Medicine, University of Verona, and Metabolic Diseases Research Unit, IRCCS Sacro Cuore - Don Calabria Hospital, Negrar di Valpolicella, Italy
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6
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Brouwers MCGJ. Reconciling the apparently contrasting observational and genetic evidence on the association between MASLD and cardiovascular disease. J Hepatol 2025; 82:e269-e270. [PMID: 39617131 DOI: 10.1016/j.jhep.2024.11.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Accepted: 11/26/2024] [Indexed: 04/19/2025]
Affiliation(s)
- Martijn C G J Brouwers
- Department of Endocrinology and Metabolic Diseases, Maastricht University Medical Centre, Maastricht, the Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.
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7
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Chen VL, Kuppa A, Oliveri A, Chen Y, Ponnandy P, Patel PB, Palmer ND, Speliotes EK. Human genetics of metabolic dysfunction-associated steatotic liver disease: from variants to cause to precision treatment. J Clin Invest 2025; 135:e186424. [PMID: 40166930 PMCID: PMC11957700 DOI: 10.1172/jci186424] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2025] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by increased hepatic steatosis with cardiometabolic disease and is a leading cause of advanced liver disease. We review here the genetic basis of MASLD. The genetic variants most consistently associated with hepatic steatosis implicate genes involved in lipoprotein input or output, glucose metabolism, adiposity/fat distribution, insulin resistance, or mitochondrial/ER biology. The distinct mechanisms by which these variants promote hepatic steatosis result in distinct effects on cardiometabolic disease that may be best suited to precision medicine. Recent work on gene-environment interactions has shown that genetic risk is not fixed and may be exacerbated or attenuated by modifiable (diet, exercise, alcohol intake) and nonmodifiable environmental risk factors. Some steatosis-associated variants, notably those in patatin-like phospholipase domain-containing 3 (PNPLA3) and transmembrane 6 superfamily member 2 (TM6SF2), are associated with risk of developing adverse liver-related outcomes and provide information beyond clinical risk stratification tools, especially in individuals at intermediate to high risk for disease. Future work to better characterize disease heterogeneity by combining genetics with clinical risk factors to holistically predict risk and develop therapies based on genetic risk is required.
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Affiliation(s)
- Vincent L. Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Annapurna Kuppa
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Antonino Oliveri
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Yanhua Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Prabhu Ponnandy
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Puja B. Patel
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Elizabeth K. Speliotes
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
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8
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Tavaglione F, Pennisi G, Pelusi S. PNPLA3 I148M and Hepatocellular Carcinoma. Liver Int 2025; 45:e70051. [PMID: 40029157 DOI: 10.1111/liv.70051] [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: 08/30/2024] [Revised: 02/20/2025] [Accepted: 02/21/2025] [Indexed: 03/05/2025]
Abstract
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. With the widespread implementation of HBV vaccination and the availability of highly effective antiviral therapies, the incidence of metabolic dysfunction-associated steatotic liver disease (MASLD)-related HCC has proportionally increased. Notably, up to 20%-30% of MASLD-related HCC cases develop in the absence of overt cirrhosis. Several genetic variants, primarily in genes related to lipid metabolism, play a key role in HCC development in individuals with MASLD and alcohol-related liver disease. Among these, the rs738409 C>G polymorphism (I148M) in the patatin-like phospholipase domain-containing protein 3 (PNPLA3) gene is the strongest genetic factor predisposing to the entire spectrum of MASLD conditions, including cirrhosis and HCC. Importantly, combining PNPLA3 I148M with multiple genetic variants robustly associated with progressive liver disease (i.e., polygenic risk scores) improves risk stratification and prediction of HCC in at-risk individuals compared to the single variant alone. In this review, we will discuss the latest evidence on the epidemiology of HCC and the contribution of PNPLA3 and PNPLA3-based polygenic risk scores to the development of HCC in at-risk individuals.
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Affiliation(s)
- Federica Tavaglione
- Division of Gastroenterology and Hepatology, MASLD Research Center, University of California at San Diego, La Jolla, California, USA
| | - Grazia Pennisi
- Section of Gastroenterology and Hepatology, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Serena Pelusi
- Transfusion Medicine Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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9
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Sevilla-González M, Smith K, Wang N, Jensen AE, Litkowski EM, Kim H, DiCorpo DA, Hsu S, Cui J, Liu CT, Yu C, McNeil JJ, Lacaze P, Westerman KE, Chang KM, Tsao PS, Phillips LS, Goodarzi MO, Sladek R, Rotter JI, Dupuis J, Florez JC, Merino J, Meigs JB, Zhou JJ, Raghavan S, Udler MS, Manning AK. Heterogeneous effects of genetic variants and traits associated with fasting insulin on cardiometabolic outcomes. Nat Commun 2025; 16:2569. [PMID: 40089507 PMCID: PMC11910595 DOI: 10.1038/s41467-025-57452-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 02/21/2025] [Indexed: 03/17/2025] Open
Abstract
Elevated fasting insulin levels (FI), indicative of altered insulin secretion and sensitivity, may precede type 2 diabetes (T2D) and cardiovascular disease onset. In this study, we group FI-associated genetic variants based on their genetic and phenotypic similarities and identify seven clusters with distinct mechanisms contributing to elevated FI levels. Clusters fall into two types: "non-diabetogenic hyperinsulinemia," where clusters are not associated with increased T2D risk, and "diabetogenic hyperinsulinemia," where T2D associations are driven by body fat distribution, liver function, circulating lipids, or inflammation. In over 1.1 million multi-ancestry individuals, we demonstrated that diabetogenic hyperinsulinemia cluster-specific polygenic scores exhibit varying risks for cardiovascular conditions, including coronary artery disease, myocardial infarction (MI), and stroke. Notably, the visceral adiposity cluster shows sex-specific effects for MI risk in males without T2D. This study underscores processes that decouple elevated FI levels from T2D and cardiovascular risk, offering new avenues for investigating process-specific pathways of disease.
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Affiliation(s)
- Magdalena Sevilla-González
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Kirk Smith
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Ningyuan Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Aubrey E Jensen
- Phoenix Veterans Affairs Medical Center, Phoenix, AZ, 85012, USA
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, 90095, USA
| | - Elizabeth M Litkowski
- Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, 80045, USA
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Hyunkyung Kim
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Daniel A DiCorpo
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Sarah Hsu
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Jinrui Cui
- Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Chenglong Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - John J McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Paul Lacaze
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Kenneth E Westerman
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Kyong-Mi Chang
- Corporal Michael J Crescenz VA Medical Center, Philadelphia, PA, 19104, USA
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Philip S Tsao
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Mark O Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Rob Sladek
- Department of Human Genetics and Department of Medicine, McGill University, Montréal, QC, Canada
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
| | - Jose C Florez
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Jordi Merino
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Jin J Zhou
- Phoenix Veterans Affairs Medical Center, Phoenix, AZ, 85012, USA
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, 90095, USA
| | - Sridharan Raghavan
- Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, 80045, USA
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Miriam S Udler
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA.
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA.
- Programs in Metabolism and Medical & Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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10
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Stefan N, Yki-Järvinen H, Neuschwander-Tetri BA. Metabolic dysfunction-associated steatotic liver disease: heterogeneous pathomechanisms and effectiveness of metabolism-based treatment. Lancet Diabetes Endocrinol 2025; 13:134-148. [PMID: 39681121 DOI: 10.1016/s2213-8587(24)00318-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 10/08/2024] [Accepted: 10/08/2024] [Indexed: 12/18/2024]
Abstract
The global epidemic of metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing worldwide. People with MASLD can progress to cirrhosis and hepatocellular carcinoma and are at increased risk of developing type 2 diabetes, cardiovascular disease, chronic kidney disease, and extrahepatic cancers. Most people with MASLD die from cardiac-related causes. This outcome is attributed to the shared pathogenesis of MASLD and cardiometabolic diseases, involving unhealthy dietary habits, dysfunctional adipose tissue, insulin resistance, and subclinical inflammation. In addition, the steatotic and inflamed liver affects the vasculature and heart via increased glucose production and release of procoagulant factors, dyslipidaemia, and dysregulated release of hepatokines and microRNAs. However, there is substantial heterogeneity in the contributors to the pathophysiology of MASLD, which might influence its rate of progression, its relationship with cardiometabolic diseases, and the response to therapy. The most effective non-pharmacological treatment approaches for people with MASLD include weight loss. Paradoxically, some effective pharmacological approaches to improve liver health in people with MASLD are associated with no change in bodyweight or even with weight gain, and similar response heterogeneity has been observed for changes in cardiometabolic risk factors. In this Review, we address the heterogeneity of MASLD with respect to its pathogenesis, outcomes, and metabolism-based treatment responses. Although there is currently insufficient evidence for the implementation of precision medicine for risk prediction, prevention, and treatment of MASLD, we discuss whether knowledge about this heterogeneity might help achieving this goal in the future.
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Affiliation(s)
- Norbert Stefan
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases, Helmholtz Centre Munich, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany.
| | - Hannele Yki-Järvinen
- Department of Medicine, University of Helsinki, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland
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11
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Chen VL, Brady GF. Recent advances in MASLD genetics: Insights into disease mechanisms and the next frontiers in clinical application. Hepatol Commun 2025; 9:e0618. [PMID: 39774697 PMCID: PMC11717516 DOI: 10.1097/hc9.0000000000000618] [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: 11/05/2024] [Accepted: 11/14/2024] [Indexed: 01/11/2025] Open
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease in the world and a growing cause of liver-related morbidity and mortality. Yet, at the same time, our understanding of the pathophysiology and genetic underpinnings of this increasingly common yet heterogeneous disease has increased dramatically over the last 2 decades, with the potential to lead to meaningful clinical interventions for patients. We have now seen the first pharmacologic therapy approved for the treatment of MASLD, and multiple other potential treatments are currently under investigation-including gene-targeted RNA therapies that directly extend from advances in MASLD genetics. Here we review recent advances in MASLD genetics, some of the key pathophysiologic insights that human genetics has provided, and the ways in which human genetics may inform our clinical practice in the field of MASLD in the near future.
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12
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Chen VL, Oliveri A, Raut C, Chen Y, Cushing-Damm KC, Speliotes EK. TM6SF2 -rs58542926 Genotype Has Opposing Effects on Incidence of Hepatic and Cardiac Events in a Community Cohort. Am J Gastroenterol 2024:00000434-990000000-01418. [PMID: 39471479 PMCID: PMC12041304 DOI: 10.14309/ajg.0000000000003169] [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: 04/29/2024] [Accepted: 10/15/2024] [Indexed: 11/01/2024]
Abstract
INTRODUCTION TM6SF2 -rs58542926-T is associated with increased cirrhosis and modestly decreased coronary artery disease prevalence. However, relative effects of TM6SF2 genotype on major adverse cardiovascular events (MACE) vs liver-related events (LRE) are not known. METHODS We used the UK Biobank, a prospective cohort with genetic and inpatient diagnosis data. The primary predictor was TM6SF2 -rs58542926 genotype, and the primary outcomes were MACE and LRE. Effects were reported as subhazard ratios (sHRs) and 10-year cumulative incidence by Fine-Gray competing risk analyses. RESULTS More than 430,000 individuals met inclusion criteria. TM6SF2 -rs58542926-TT genotype (vs CC) was associated with higher incidence of LRE (adjusted sHR 3.16, 95% confidence interval 1.86-5.37) and lower incidence of MACE (adjusted sHR for TT vs CC genotype 0.76, 95% confidence interval 0.63-0.91). In individuals with fibrosis-4 (FIB4) < 1.3, 1.3-2.67, and > 2.67, 10-year LRE incidence in TM6SF2 -rs58542926-TT vs CC individuals was 0.08% vs 0.06% ( P > 0.05), 0.81% vs 0.20% ( P < 0.0001), and 10.5% vs 3.4% ( P = 0.00094), respectively. The corresponding values for MACE were 3.8% vs 5.1% ( P = 0.032), 6.4% vs 8.2% ( P = 0.040), and 17.1% vs 12.4% ( P > 0.05). The absolute decrease in MACE with rs58542926-TT (vs CC) genotype exceeded the absolute increase in LRE in all groups but FIB4 > 2.67. Associations of TM6SF2 genotype with LRE/MACE were significant in men but not women. TM6SF2 -rs58542926-T allele was also associated with increased hepatic steatosis and corrected T1 time by magnetic resonance imaging, with greater effect sizes in men than women. DISCUSSION TM6SF2 genotype has opposite effects on LRE vs MACE incidence, and absolute effects on MACE were greater except in those with highest FIB4 scores. Effects were strongest in men. These findings clarify implications of TM6SF2 genotype based on personalized clinical risk.
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Affiliation(s)
- Vincent L Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Antonino Oliveri
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Chinmay Raut
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Yanhua Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Kelly C Cushing-Damm
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Elizabeth K Speliotes
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA
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