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Kim JH, Lee Y, Nam CM, Kwon YJ, Lee JW. Impact of cardiometabolic risk factors for metabolic dysfunction-associated steatotic liver disease on mortality. Nutr Metab Cardiovasc Dis 2025; 35:103965. [PMID: 40187915 DOI: 10.1016/j.numecd.2025.103965] [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: 11/16/2024] [Revised: 02/14/2025] [Accepted: 02/25/2025] [Indexed: 04/07/2025]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) is a potential independent risk factor for cardiovascular disease (CVD)-associated and all-cause mortalities as they share common risk factors. We investigated the association between cardiometabolic risk factors for MASLD and CVD-associated and all-cause mortality risks in middle-aged and older Korean adults. METHODS AND RESULTS We used data from the Korean Genome and Epidemiology Study, a population-based prospective cohort study. Five cardiometabolic risk factors were assessed. MASLD was defined as liver steatosis with a fatty liver index (FLI) ≥60 and at least one cardiometabolic risk factor. The non-MASLD group included individuals with a FLI <60 or FLI ≥60 without cardiometabolic risk factors. The primary outcomes were CVD-associated and all-cause mortalities. Cox proportional hazard models were used to evaluate the association between cardiometabolic risk factors for MASLD and mortalities, adjusting for covariates. Multivariable Cox regression analysis revealed that the MASLD group had increased CVD-associated and all-cause mortality risks compared to the non-MASLD group. The presence of three or more and one or more cardiometabolic risk factors significantly increased the CVD-associated and all-cause mortality rate, respectively. The combination of hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), and high glucose concentrations significantly increased both CVD-associated (hazard ratio [HR] 3.64; 95 % confidence interval [CI] 1.44-9.22; p = 0.006) and all-cause (HR 4.57; 95 % CI: 1.74-12.05; p = 0.002) mortality risks. CONCLUSION Cardiometabolic risk factors for MASLD are strongly associated with higher CVD-associated and all-cause mortality risks, highlighting the need to manage hypertriglyceridemia, low HDL-C, and high glucose concentrations.
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Affiliation(s)
- Jung-Hwan Kim
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - Yaeji Lee
- Department of Biostatistics and Computing, Yonsei University, Seoul, 03722, Republic of Korea
| | - Chung-Mo Nam
- Department of Health Informatics and Biostatistics, Graduate School of Public Health, Yonsei University, Seoul, 03722, Republic of Korea
| | - Yu-Jin Kwon
- Department of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, 16995, Republic of Korea.
| | - Ji-Won Lee
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, 03722, Republic of Korea.
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Koliaki C, Dalamaga M, Kakounis K, Liatis S. Metabolically Healthy Obesity and Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): Navigating the Controversies in Disease Development and Progression. Curr Obes Rep 2025; 14:46. [PMID: 40387999 PMCID: PMC12089219 DOI: 10.1007/s13679-025-00637-9] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/05/2025] [Indexed: 05/20/2025]
Abstract
PURPOSE OF REVIEW The natural course of metabolic dysfunction-associated steatotic liver disease (MASLD) in the population with metabolically healthy obesity (MHO) has not been adequately explored. In the present narrative review, we summarize the evidence regarding the association between MHO and MASLD prevalence, incidence and progression. RECENT FINDINGS Cross-sectional, population-based, cohort studies have shown an increased prevalence of hepatic steatosis and fibrosis in subjects with MHO compared with metabolically healthy non-obese individuals (MHNO). In large-scale longitudinal cohort studies among metabolically healthy subjects, increasing body mass index (BMI) has been found to be independently associated with an increased incidence of MASLD and progressive hepatic fibrosis over a mean follow-up period of 2.2-7.7 years. With regard to advanced MASLD, the prevalence of steatohepatitis and clinically significant liver fibrosis is lower in MHO compared with subjects with metabolically unhealthy obesity (MUO). The presence of MASLD has been proposed as a strong risk factor for metabolic health deterioration in MHO. Furthermore, subjects with MHO and MASLD display an elevated 10-year cardiovascular risk and a three-fold increased risk of incident diabetes compared with MHO without MASLD. MASLD may also predict the failure to convert from MUO to MHO after a weight loss intervention.
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Affiliation(s)
- Chrysi Koliaki
- First Propaedeutic Department of Internal Medicine and Diabetes Center, Medical School, Laiko General Hospital, National Kapodistrian University of Athens, 17 Agiou Thoma Street, Athens, 11527, Greece.
| | - Maria Dalamaga
- Department of Biologic Chemistry, Medical School, National Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Kakounis
- Department of Gastroenterology, Hippokration General Hospital of Athens, Athens, Greece
| | - Stavros Liatis
- First Propaedeutic Department of Internal Medicine and Diabetes Center, Medical School, Laiko General Hospital, National Kapodistrian University of Athens, 17 Agiou Thoma Street, Athens, 11527, Greece
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Nawata H, Ou L, Zhang X, Song Q, Huang J, Hu J, Ito K, Obo S, Fukushima T, Iwami K, Iguchi S, Igarashi A, He X, Zhang J, Xia Y, Takasaki K. Arterial stiffness, high fasting glucose, and fatty liver as risk factors for visceral obesity in middle-aged Chinese individuals: a cross-sectional study. Endocr J 2025; 72:525-533. [PMID: 39956583 PMCID: PMC12086279 DOI: 10.1507/endocrj.ej24-0554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Accepted: 01/05/2025] [Indexed: 02/18/2025] Open
Abstract
The prevalence of obesity is increasing rapidly worldwide, particularly in Asia. Visceral obesity, characterized by intra-abdominal fat accumulation, is a precursor to metabolic syndrome, encompassing hyperglycemia, dyslipidemia, and hypertension, which elevate the risk of atherosclerosis and cardiovascular disease. A visceral fat area (VFA) of ≥100 cm2 is a recognized threshold for diagnosing obesity-related metabolic syndrome. This study aimed to identify independent risk factors for VFA ≥100 cm2 in middle-aged Chinese individuals from the general population. We analyzed data from 148 participants (mean age: 49.3 ± 10.8 years; 54% male) who underwent health check-ups. VFA and subcutaneous fat area were assessed using computed tomography, while arterial stiffness and fatty liver were evaluated via brachial-ankle pulse wave velocity (baPWV) and abdominal ultrasonography, respectively. Between-group comparisons (VFA ≥100 cm2 vs. VFA <100 cm2) were conducted using unpaired t-tests and Mann-Whitney U tests, and logistic regression analysis identified risk factors. Multivariable regression analysis revealed that baPWV ≥1,400 cm/s (odds ratio [OR] = 5.71, p = 0.011), waist circumference ≥85 cm (OR = 5.46, p = 0.026), fasting blood glucose (FBG) ≥100 mg/dL (OR = 5.69, p = 0.030), male sex (OR = 12.79, p = 0.029), and fatty liver (OR = 3.99, p = 0.042) were significant independent risk factors for VFA ≥100 cm2. Among these, baPWV ≥1,400 cm/s was the most significant, showing a positive correlation with VFA (r = 0.365, p < 0.001). Visceral obesity (VFA ≥100 cm2) is a critical target for interventions addressing metabolic syndrome, metabolic dysfunction-associated fatty liver disease (MAFLD), and cardiovascular disease, particularly in males.
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Affiliation(s)
- Hajime Nawata
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
- Department of Medicine and Bioregulatory Science, Kyushu University, Fukuoka 812-8582, Japan
| | - Li Ou
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
| | - Xu Zhang
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
| | - Qinglan Song
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
| | - Jing Huang
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
| | - Jin Hu
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
| | - Kazue Ito
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Shinichi Obo
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Takeharu Fukushima
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Kaori Iwami
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Shizuka Iguchi
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Ai Igarashi
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Xiaoyang He
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Jing Zhang
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
| | - Yu Xia
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
| | - Ken Takasaki
- Zhichengheai Health Management Center, Leading Center, Tianfu Chengdu 610000, China
- SKK Co Ltd, Tokyo 107-0062, Japan
- Department of Surgery, Tokyo Women’s Medical University, Tokyo 162-0054, Japan
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Eslam M, Fan JG, Yu ML, Wong VWS, Cua IH, Liu CJ, Tanwandee T, Gani R, Seto WK, Alam S, Young DY, Hamid S, Zheng MH, Kawaguchi T, Chan WK, Payawal D, Tan SS, Goh GBB, Strasser SI, Viet HD, Kao JH, Kim W, Kim SU, Keating SE, Yilmaz Y, Kamani L, Wang CC, Fouad Y, Abbas Z, Treeprasertsuk S, Thanapirom K, Al Mahtab M, Lkhagvaa U, Baatarkhuu O, Choudhury AK, Stedman CAM, Chowdhury A, Dokmeci AK, Wang FS, Lin HC, Huang JF, Howell J, Jia J, Alboraie M, Roberts SK, Yoneda M, Ghazinian H, Mirijanyan A, Nan Y, Lesmana CRA, Adams LA, Shiha G, Kumar M, Örmeci N, Wei L, Lau G, Omata M, Sarin SK, George J. The Asian Pacific association for the study of the liver clinical practice guidelines for the diagnosis and management of metabolic dysfunction-associated fatty liver disease. Hepatol Int 2025; 19:261-301. [PMID: 40016576 DOI: 10.1007/s12072-024-10774-3] [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: 09/06/2024] [Accepted: 12/28/2024] [Indexed: 03/01/2025]
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) affects over one-fourth of the global adult population and is the leading cause of liver disease worldwide. To address this, the Asian Pacific Association for the Study of the Liver (APASL) has created clinical practice guidelines focused on MAFLD. The guidelines cover various aspects of the disease, such as its epidemiology, diagnosis, screening, assessment, and treatment. The guidelines aim to advance clinical practice, knowledge, and research on MAFLD, particularly in special groups. The guidelines are designed to advance clinical practice, to provide evidence-based recommendations to assist healthcare stakeholders in decision-making and to improve patient care and disease awareness. The guidelines take into account the burden of clinical management for the healthcare sector.
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Affiliation(s)
- Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, NSW, 2145, Australia.
| | - Jian-Gao Fan
- Center for Fatty Liver, Department of Gastroenterology, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of Internal MedicineCollege of Medicine and Center for Liquid Biopsy and Cohort ResearchFaculty of Internal Medicine and Hepatitis Research Center, School of Medicine, College of MedicineSchool of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, Kaohsiung Medical University, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Centre, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Institute of Digestive Disease, Chinese University of Hong Kong, Hong Kong, China
| | - Ian Homer Cua
- Institute of Digestive and Liver Diseases, St. Luke's Medical Center, Global City, Philippines
| | - Chun-Jen Liu
- Division of Gastroenterology and Hepatology, Department of Internal MedicineHepatitis Research CenterGraduate Institute of Clinical Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Tawesak Tanwandee
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Rino Gani
- Department of Internal Medicine, Hepatobiliary Division, Dr. Cipto Mangunkusumo National General Hospital, Universitas Indonesia, Pangeran Diponegoro Road No. 71St, Central Jakarta, 10430, Indonesia
| | - Wai-Kay Seto
- Department of Medicine, School of Clinical Medicine, State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong, China
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Shahinul Alam
- Department of Hepatology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh
| | - Dan Yock Young
- Department of Medicine, Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Saeed Hamid
- Department of Medicine, Aga Khan University, Karachi, Pakistan
| | - Ming-Hua Zheng
- MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Takumi Kawaguchi
- Division of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume, Japan
| | - Wah-Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Diana Payawal
- Department of Medicine, Cardinal Santos Medical Center, Mandaluyong, Philippines
| | - Soek-Siam Tan
- Department of Hepatology, Selayang Hospital, Batu Caves, Malaysia
| | - George Boon-Bee Goh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore
- Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Simone I Strasser
- AW Morrow Gastroenterology and Liver Centre, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Hang Dao Viet
- Internal Medicine Faculty, Hanoi Medical University, Hanoi, Vietnam
| | - Jia-Horng Kao
- Graduate Institute of Clinical MedicineDepartment of Internal MedicineHepatitis Research CenterDepartment of Medical Research, National Taiwan University College of Medicine, National Taiwan University, National Taiwan University Hospital, 1 Chang-Te Street, 10002, Taipei, Taiwan
| | - Won Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Republic of Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Severance Hospital, 50-1, Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea
| | - Shelley E Keating
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Yusuf Yilmaz
- Department of Gastroenterology, School of Medicine, Recep Tayyip Erdoğan University, Rize, Turkey
| | | | - Chia-Chi Wang
- Buddhist Tzu Chi Medical Foundation and School of Medicine, Taipei Tzu Chi Hospital, Tzu Chi University, Taipei, Taiwan
| | - Yasser Fouad
- Department of Gastroenterology, Hepatology and Endemic Medicine, Faculty of Medicine, Minia University, Cairo, Egypt
| | - Zaigham Abbas
- Department of Hepatogastroenterology, Dr.Ziauddin University Hospital, Clifton, Karachi, Pakistan
| | | | | | - Mamun Al Mahtab
- Department of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Undram Lkhagvaa
- Department of Health Policy, School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Oidov Baatarkhuu
- Department of Infectious Diseases, School of Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Ashok Kumar Choudhury
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, 110070, India
| | | | - Abhijit Chowdhury
- Department of Hepatology, School of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research, Kolkata, India
| | - A Kadir Dokmeci
- Department of Medicine, Ankara University School of Medicine, Ankara, Turkey
| | - Fu-Sheng Wang
- Senior Department of Infectious Diseases, The Fifth Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Infectious Diseases, Chinese PLA Medical School, Chinese PLA General Hospital, Beijing, 100039, China
| | - Han-Chieh Lin
- Division of Gastroenterology and Hepatology, Department of Medicine, Institute of Clinical Medicine, School of Medicine, Taipei Veterans General Hospital, National Yang-Ming Chiao Tung University, No. 201, Section 2, Shipai RdNo. 155, Section 2, Linong St, Beitou District, Taipei City, 112, Taiwan
| | - Jee-Fu Huang
- Hepatobiliary Division, Department of Internal MedicineCollege of Medicine and Center for Liquid Biopsy and Cohort ResearchFaculty of Internal Medicine and Hepatitis Research Center, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jess Howell
- Burnet Institute, Melbourne, VIC, 3004, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3008, Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, 3050, Australia
- Department of Gastroenterology, St Vincent's Hospital Melbourne, Melbourne, VIC, 3165, Australia
| | - Jidong Jia
- Liver Research Center, Beijing Key Laboratory of Translational Medicine On Liver Cirrhosis, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center of Digestive Diseases, Beijing, China
| | - Mohamed Alboraie
- Department of Internal Medicine, Al-Azhar University, Cairo, 11884, Egypt
| | - Stuart K Roberts
- Department of Gastroenterology and Hepatology, Central Clinical School, The Alfred, Monash University, Melbourne, Australia
| | - Masato Yoneda
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Hasmik Ghazinian
- Gastroenterology and Hepatology Department, Yerevan Medical Scientific Center, Yerevan, Armenia
| | - Aram Mirijanyan
- Gastroenterology and Hepatology Department, Yerevan Medical Scientific Center, Yerevan, Armenia
| | - Yuemin Nan
- Department of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang, China
| | | | - Leon A Adams
- Medical School, Faculty of Medicine and Health Sciences, The University of Western Australia, Nedlands, WA, Australia
| | - Gamal Shiha
- Hepatology and Gastroenterology Unit, Internal Medicine Department, Faculty of Medicine, Mansoura University, Egyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, El Mansoura, Egypt
| | - Manoj Kumar
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Necati Örmeci
- Department of Gastroenterohepatology, Istanbul Health and Technology University, Istanbul, Turkey
| | - Lai Wei
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - George Lau
- Humanity and Health Medical Group, Humanity and Health Clinical Trial Center, Hong Kong SAR, China
- The Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China
| | - Masao Omata
- Department of Gastroenterology, Yamanashi Central Hospital, Yamanashi, Japan
- University of Tokyo, Tokyo, Japan
| | - Shiv K Sarin
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, NSW, 2145, Australia
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Cheah MCC, Crane H, George J. Global prevalence, metabolic characteristics, and outcomes of lean-MAFLD: a systematic review and meta-analysis. Hepatol Int 2025:10.1007/s12072-025-10801-x. [PMID: 40087205 DOI: 10.1007/s12072-025-10801-x] [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: 12/17/2024] [Accepted: 02/15/2025] [Indexed: 03/17/2025]
Abstract
BACKGROUND Metabolic Dysfunction-Associated Fatty Liver disease (MAFLD) among lean individuals is increasingly recognized. We aimed to compare the prevalence, metabolic characteristics, and outcomes of lean vs overweight/obese-MAFLD patients. METHODS Databases of Embase, Medline, and Web of Science were searched from inception till October 2023. Only cohorts adhering to the lean-MAFLD criteria as defined by the international consensus statement were included. RESULTS In the pooled analysis of 10,013,382 individuals, the prevalence of lean-MAFLD in the general population was 1.94% (95% CI 1.10-3.39%, I2 = 98.7%). Lean and overweight/obese-MAFLD patients had similar metabolic characteristics for blood pressure, LDL, TG, blood glucose, and HbA1c. There was an increased incidence rate and likelihood for liver-related mortality for lean-MAFLD vs overweight/obese-MAFLD [1.33 per 1000 patient-years (95% CI 1.28-1.39) vs 0.76 (95% CI 0.25-2.28), (OR 3.56 (95% CI 3.45-3.67), p < 0.01). There were similar incidence rates and odds ratios between lean vs overweight/obese-MAFLD for: (1) all-cause mortality [10.08 per 1000 patient-years (95% CI 9.93-10.23) vs 8.94 per 1000 patient-years (95% CI 4.08-19.57), (OR 1.92 (95% CI 0.01-220.57), p = 0.33)]; (2) cardiovascular-related mortality [2.53 per 1000 patient-years (95% CI 0.65-9.96) vs 2.07 per 1000 patient-years (95% CI 0.80-5.39), (OR 1.91 (95% CI 0.02-142.76), p = 0.58)]; and (3) cancer-related mortality [3.42 per 1000 patient-years (95% CI 3.33-3.51) vs 3.15 per 1000 patient-years (95% CI 1.21-8.19), (OR 1.99 (95% CI 0.29-13.52), p = 0.13). CONCLUSION Lean-MAFLD patients have an equivalent metabolic burden compared to overweight/obese-MAFLD patients and thus a similar incidence rate of major extrahepatic complications. However, they have an increased risk of liver-related mortality.
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Affiliation(s)
- Mark C C Cheah
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, New South Wales, Australia.
| | - Harry Crane
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, New South Wales, Australia
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Westmead, New South Wales, Australia
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Petta S, Armandi A, Bugianesi E. Impact of PNPLA3 I148M on Clinical Outcomes in Patients With MASLD. Liver Int 2025; 45:e16133. [PMID: 39412170 PMCID: PMC11815615 DOI: 10.1111/liv.16133] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 09/23/2024] [Accepted: 10/02/2024] [Indexed: 01/03/2025]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatotic liver disease (MASLD) is a heterogenous clinical and histopathological entity, where multiple metabolic co-factors are intertwined with high interindividual variability. The impact and severity of each factor (including obesity and type 2 diabetes) define a systemic dysmetabolism that can lead to either advanced liver disease and its complication (including hepatocellular carcinoma and clinical events related to portal hypertension) or extrahepatic events: incident cardiovascular disease, chronic kidney disease and extrahepatic cancers. The balance between environmental factors and genetic susceptibility has unique implications in MASLD: the intermittent injury of metabolic co-factors, their fluctuation over time and their specific management, are counterbalanced by the presence of gene variants that can significantly impact the disease at multiple levels. The I148M variant in the PNPLA3 gene is the most investigated genetic susceptibility that induces a more severe steatohepatitis, enhanced fibrogenesis and can shape the incidence of long-term clinical events regardless of, or worsened by, other metabolic risk factors. METHODS AND RESULTS In this review, we will summarise the updated evidence on the natural history of MASLD accounting for classical metabolic risk factors, the role of PNPLA3 in clinical sub-phenotyping (e.g., 'lean MASLD'), impact on disease severity and fibrosis progression, as well as its role for prognostication, alone or in combination with non-invasive tools into polygenic risk scores.
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Affiliation(s)
- Salvatore Petta
- Sezione di Gastroenterologia, Di.Bi.M.I.SUniversity of PalermoPalermoItaly
| | - Angelo Armandi
- Division of Gastroenterology and Hepatology, Department of Medical SciencesUniversity of TurinTurinItaly
| | - Elisabetta Bugianesi
- Division of Gastroenterology and Hepatology, Department of Medical SciencesUniversity of TurinTurinItaly
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7
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Koh J, Mohamed A, Kong G, Wong E, Chen Y, Anand VV, Chong B, Chin YH, Wang JW, Khoo CM, Chan SP, Muthiah M, Dimitriadis GK, Chan MYY, Loh PH, Chew NWS. Long-term all-cause mortality of metabolic-dysfunction associated steatotic liver disease based on body weight phenotypes following acute myocardial infarction: A retrospective cohort study. Diabetes Obes Metab 2025; 27:683-696. [PMID: 39529446 DOI: 10.1111/dom.16062] [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: 08/30/2024] [Revised: 10/17/2024] [Accepted: 10/25/2024] [Indexed: 11/16/2024]
Abstract
OBJECTIVE Metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity increases risk of cardiovascular disease. This cohort study examines the prognostic value of MASLD, across body weight categories, in a secondary preventative acute myocardial infarction (AMI) cohort. METHODS Patients with AMI were stratified into four phenotypes-obesity MASLD, non-obesity MASLD, obesity non-MASLD, non-obesity non-MASLD. The primary outcome was all-cause mortality. Cox regression analysis was performed to investigate determinants of long-term all-cause mortality. RESULTS Of 5702 patients, majority were in the non-obesity non-MASLD group (66.7%), followed by obesity MASLD (16.1%), non-obesity MASLD (11.2%) and non-obesity MASLD (6.0%). Across the four phenotypes, obesity MASLD had the highest cardiometabolic burden, followed by non-obesity MASLD. Non-obesity MASLD had the highest risk of heart failure (p = 0.034), cardiogenic shock (p < 0.001), and all-cause long-term mortality (p = 0.019). The non-obesity MASLD (HR 1.400, 95%CI 1.077-1.820, p = 0.012) and obesity MASLD phenotypes (HR 1.222, 95%CI 1.005-1.485, p = 0.044) were independently associated with long-term all-cause mortality. CONCLUSIONS Obesity and non-obesity MASLD phenotypes were predictors of all-cause mortality following AMI, with an even larger magnitude of mortality risk in the non-obesity MASLD group. The recognition of MASLD and its body weight phenotypes will be beneficial in the prognostication following AMI.
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Affiliation(s)
- Jaycie Koh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Ayman Mohamed
- King Fahd Military Medical Complex, Dhahran, Saudi Arabia
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
- Cardiology Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Gwyneth Kong
- Department of Medicine, National University Hospital, Singapore, Singapore
| | - Esther Wong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yiming Chen
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Vickram Vijay Anand
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Bryan Chong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yip Han Chin
- Department of Medicine, National University Hospital, Singapore, Singapore
| | - Jiong-Wei Wang
- Cardiovascular Research Institute, National University Heart Centre, National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Nanomedicine Translational Research Programme, Centre for NanoMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chin Meng Khoo
- Division of Endocrinology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Siew Pang Chan
- Department of Medicine, National University Hospital, Singapore, Singapore
- Cardiovascular Research Institute, National University Heart Centre, National University Health System, Singapore, Singapore
| | - Mark Muthiah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore
| | - Georgios K Dimitriadis
- Department of Endocrinology ASO/EASO COM, King's College Hospital NHS Foundation Trust, London, UK
- Obesity, Type 2 Diabetes and Immunometabolism Research Group, Department of Diabetes, Faculty of Cardiovascular Medicine & Sciences, School of Life Course Sciences, King's College London, London, UK
| | - Mark Yan-Yee Chan
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Poay-Huan Loh
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Cardiology, Department of Medicine, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Nicholas W S Chew
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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8
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Tong X, Sun Y, Wang Q, Zhao X, Chen W, Zhang M, Ren Y, Zhao X, Wu X, Zhao J, Sun C, Zheng M, Ren H, Yang Z, Ou X, Jia J, You H. Delicate and thin fibrous septa indicate a regression tendency in metabolic dysfunction-associated steatohepatitis patients with advanced fibrosis. Hepatol Int 2025; 19:166-180. [PMID: 39152361 DOI: 10.1007/s12072-024-10719-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 08/02/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND AND AIMS Metabolic dysfunction-associated steatohepatitis (MASH)-related fibrosis is reversible. However, the dynamic morphology change in fibrosis regression remains unclear. We aim to explore the morphological characteristics of fibrosis regression in advanced MASH patients. METHODS Clinical and histological data of 79 biopsy-proved MASH patients with advanced fibrosis (F3-F4) were reviewed. The second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) image technology was used to quantitatively identify the R (regressive) septa from P (progressive) septa and PS (perisinusoidal) fibrosis. Non-invasive tests were used to compare the fibrosis level with and without R septa groups. Transcriptomics was used to explore hub genes and the underlying mechanism of the formation of R septa. RESULTS The R septa were different from the P septa and PS fibrosis in detail collagen quantitation identified by SHG/TPEF technology. The R septa were found in MASH fibrosis-regressed patients, which met the definition of the "Beijing classification". Therefore, patients were divided into two groups according to septa morphology: with R septa (n = 10, 12.7%), and without R septa (n = 69, 87.3%). Patients with R septa had lower values in most non-invasive tests, especially for liver stiffness assessed by TE (12.3 vs. 19.4 kPa, p = 0.010) and FAST (FibroScan®-AST) score (0.43 vs. 0.70, p = 0.003). Transcriptomics analysis showed that the expressions of five hub fibrogenic genes, including Col3A1, BGN, Col4A1, THBS2, and Col4A2 in the R septa group, were significantly lower. CONCLUSIONS The R septa can be differentiated from the P septa and PS fibrosis by quantitative assessment of SHG/TPEF, and it represents a tendency of fibrosis regression in MASH patients. TRIAL REGISTRATION NCT03386890, 29/12/2017.
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Affiliation(s)
- Xiaofei Tong
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Yameng Sun
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Qianyi Wang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Xinyan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Wei Chen
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Mengyang Zhang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Yayun Ren
- HistoIndex Pte Ltd, Singapore, Singapore
| | - Xinyu Zhao
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Xiaoning Wu
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Jingjie Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Chenglin Sun
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Minghua Zheng
- MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Key Laboratory of Diagnosis and Treatment for The Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China
| | - Hao Ren
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhenghan Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaojuan Ou
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Jidong Jia
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China
| | - Hong You
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, 95 Yong-An Road, Xi-Cheng District, Beijing, 100050, China.
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9
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Wang W, Huang L, Qiu XP, Tu M, Guo XL. Monocytes to Apolipoprotein A1 ratio is associated with metabolic dysfunction-associated fatty liver disease in type 2 diabetes mellitus. Sci Rep 2024; 14:31396. [PMID: 39733102 PMCID: PMC11682227 DOI: 10.1038/s41598-024-82994-4] [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: 04/14/2024] [Accepted: 12/10/2024] [Indexed: 12/30/2024] Open
Abstract
The monocyte-to-Apolipoprotein A1 ratio (MAR) emerges as a potentially valuable inflammatory biomarker indicative of metabolic dysfunction-associated fatty liver disease (MASLD). Accordingly, this investigation primarily aims to assess the correlation between MAR and MASLD risk. A cohort comprising 957 individuals diagnosed with type 2 diabetes mellitus (T2DM) participated in this study. The relationship between MAR and MASLD was analyzed through binomial logistic regression analysis and restricted cubic splines (RCS). Furthermore, a comparative assessment of MAR and monocyte to high-density lipoprotein ratio (MHR) in identifying MASLD efficacy was conducted using receiver operating characteristic curve analysis. Remarkably, even after adjusting for metabolic parameters and hepatic functional markers, MAR stood out as an independent predictor for MASLD (OR 1.58, 95% CI 1.36-1.84; P < 0.001) and displayed a nonlinear positive association with MASLD risk according to RCS analysis (P for nonlinearity and overall < 0.001). Notably, MAR exhibited superior diagnostic accuracy for identifying MASLD compared to MHR (AUC: 0.772 vs 0.722, P < 0.001). In summary, MAR emerges as a promising inflammatory indicator for MASLD, demonstrating potential as a valuable screening tool to bolster the management of MASLD within the T2DM population.
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Affiliation(s)
- Wei Wang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, Fujian, China
| | - Lian Huang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, Fujian, China
| | - Xiu Ping Qiu
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, Fujian, China
| | - Mei Tu
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, Fujian, China
| | - Xiu Li Guo
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, Fujian, China.
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10
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You Y, Pei X, Jiang W, Zeng Q, Bai L, Zhou T, Lv X, Tang H, Wu D. Non-obese non-alcoholic fatty liver disease and the risk of chronic kidney disease: a systematic review and meta-analysis. PeerJ 2024; 12:e18459. [PMID: 39713133 PMCID: PMC11660860 DOI: 10.7717/peerj.18459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 10/14/2024] [Indexed: 12/24/2024] Open
Abstract
Background Data on risk of developing chronic kidney disease (CKD) between non-obese and obese non-alcoholic fatty liver disease (NAFLD) patients are limited. We aimed to reveal the risk difference of incident CKD between non-obese and obese NAFLD patients. Methods We searched PubMed, Embase, and Web of Science databases for studies which reported the incidence of CKD in non-obese and obese NAFLD from inception to 10 March 2024. The primary and secondary outcomes were pooled. Subgroup analysis was used to examine the heterogeneity. Results A total of 15 studies were incorporated. The incidence of CKD in non-obese and obese NAFLD were 1,450/38,720 (3.74%) and 3,067/84,154 (3.64%), respectively. Non-obese NAFLD patients had a comparable risk of CKD as obese NAFLD (odds ratio [OR] 0.92, 95% confidence interval [95% CI] [0.72-1.19], I2 = 88%). No differences in estimated glomerular filtration rate and serum creatinine between non-obese and obese NAFLD were found. The mean differences (MD) and 95% CI were 0.01 [-0.02 to 0.04] and 0.50 [-0.90 to 1.90], respectively. In subgroup analyses, non-obese NAFLD had higher eGFR when diagnosed with ultrasound (MD 1.45, 95% CI [0.11-2.79], I2 = 21%). Non-obese NAFLD had higher creatinine in non-Asian (MD 0.06, 95% CI [0.01-0.11], I2 = 55%) and when taking BMI > 30 as the criterion for obesity (MD 0.06, 95% CI [0.00-0.12], I2 = 76%). The occurrence of CKD did not differ when non-obese NAFLD were categorized into overweight and normal-weight types. Conclusions Non-obese NAFLD patients experienced the same risk of CKD compared to obese NAFLD.
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Affiliation(s)
- Yixian You
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Xiong Pei
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Jiang
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Qingmin Zeng
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Lang Bai
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Taoyou Zhou
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoju Lv
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Tang
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Dongbo Wu
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China
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11
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Zeng XF, Varady KA, Wang XD, Targher G, Byrne CD, Tayyem R, Latella G, Bergheim I, Valenzuela R, George J, Newberry C, Zheng JS, George ES, Spearman CW, Kontogianni MD, Ristic-Medic D, Peres WAF, Depboylu GY, Yang W, Chen X, Rosqvist F, Mantzoros CS, Valenti L, Yki-Järvinen H, Mosca A, Sookoian S, Misra A, Yilmaz Y, Kim W, Fouad Y, Sebastiani G, Wong VWS, Åberg F, Wong YJ, Zhang P, Bermúdez-Silva FJ, Ni Y, Lupsor-Platon M, Chan WK, Méndez-Sánchez N, de Knegt RJ, Alam S, Treeprasertsuk S, Wang L, Du M, Zhang T, Yu ML, Zhang H, Qi X, Liu X, Pinyopornpanish K, Fan YC, Niu K, Jimenez-Chillaron JC, Zheng MH. The role of dietary modification in the prevention and management of metabolic dysfunction-associated fatty liver disease: An international multidisciplinary expert consensus. Metabolism 2024; 161:156028. [PMID: 39270816 DOI: 10.1016/j.metabol.2024.156028] [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: 06/25/2024] [Revised: 08/25/2024] [Accepted: 09/08/2024] [Indexed: 09/15/2024]
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) or metabolic dysfunction-associated steatotic liver disease (MASLD), has become the leading cause of chronic liver disease worldwide. Optimal dietary intervention strategies for MAFLD are not standardized. This study aimed to achieve consensus on prevention of MAFLD through dietary modification. A multidisciplinary panel of 55 international experts, including specialists in hepatology, gastroenterology, dietetics, endocrinology and other medical specialties from six continents collaborated in a Delphi-based consensus development process. The consensus statements covered aspects ranging from epidemiology to mechanisms, management, and dietary recommendations for MAFLD. The recommended dietary strategies emphasize adherence to a balanced diet with controlled energy intake and personalized nutritional interventions, such as calorie restriction, high-protein, or low-carbohydrate diets. Specific dietary advice encouraged increasing the consumption of whole grains, plant-based proteins, fish, seafood, low-fat or fat-free dairy products, liquid plant oils, and deeply colored fruits and vegetables. Concurrently, it advised reducing the intake of red and processed meats, saturated and trans fats, ultra-processed foods, added sugars, and alcohol. Additionally, maintaining the Mediterranean or DASH diet, minimizing sedentary behavior, and engaging in regular physical activity are recommended. These consensus statements lay the foundation for customized dietary guidelines and proposing avenues for further research on nutrition and MAFLD.
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Affiliation(s)
- Xu-Fen Zeng
- Department of Clinical Nutrition, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Krista A Varady
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - Xiang-Dong Wang
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Giovanni Targher
- Department of Medicine, University of Verona, Verona, Italy; Metabolic Diseases Research Unit, IRCCS Sacro Cuore-Don Calabria Hospital, Negrar di Valpolicella, Italy
| | - Christopher D Byrne
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, and University of Southampton, Southampton General Hospital, Southampton, UK
| | - Reema Tayyem
- Department of Human Nutrition, College of Health Science, Qatar University, Doha, Qatar
| | - Giovanni Latella
- Gastroenterology, Hepatology and Nutrition Division, Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Ina Bergheim
- Department of Nutritional Sciences, Molecular Nutritional Science, University of Vienna, Vienna, Austria
| | - Rodrigo Valenzuela
- Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Jacob George
- Storr Liver Centre, The Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Carolyn Newberry
- Division of Gastroenterology, Weill Cornell Medical Center, New York, NY, USA
| | - Ju-Sheng Zheng
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China; School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
| | - Elena S George
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - C Wendy Spearman
- Division of Hepatology, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Meropi D Kontogianni
- Department of Nutrition and Dietetics, School of Health Sciences & Education, Harokopio University of Athens, Athens, Greece
| | - Danijela Ristic-Medic
- Group for Nutritional Biochemistry and Dietology, Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research, National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Wilza Arantes Ferreira Peres
- Department of Nutrition and Dietetics, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Gamze Yurtdaş Depboylu
- Izmir Katip Celebi University, Faculty of Health Sciences, Department of Nutrition and Dietetics, İzmir, Türkiye
| | - Wanshui Yang
- Department of Nutrition, School of Public Health, Anhui Medical University, Hefei, China
| | - Xu Chen
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fredrik Rosqvist
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden, and Department of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden
| | - Christos S Mantzoros
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Luca Valenti
- Precision Medicine-Biological Resource Center, Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Hannele Yki-Järvinen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Antonella Mosca
- Hepatology and Liver Transplant Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Silvia Sookoian
- Clinical and Molecular Hepatology, Translational Health Research Center (CENITRES), Maimónides University, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Faculty of Health Science, Maimónides University, Buenos Aires, Argentina
| | - Anoop Misra
- Fortis-C-DOC Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, New Delhi, India; National Diabetes, Obesity and Cholesterol Foundation (N-DOC), Diabetes Foundation (India) (DFI), New Delhi, India
| | - Yusuf Yilmaz
- Department of Gastroenterology, School of Medicine, Recep Tayyip Erdogan University, Rize, Türkiye
| | - Won Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Republic of Korea
| | - Yasser Fouad
- Department of Gastroenterology, Hepatology and Endemic Medicine, Faculty of Medicine, Minia University, Minia, Egypt
| | - Giada Sebastiani
- Division of Gastroenterology and Hepatology and Chronic Viral Illness Service, McGill University Health Centre, Montreal, Canada; Division of Experimental Medicine, McGill University, Montreal, Canada
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Fredrik Åberg
- Transplantation and Liver Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Yu Jun Wong
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore; Duke-NUS Medical School, SingHealth, Singapore
| | - Pianhong Zhang
- Department of Clinical Nutrition, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Francisco-Javier Bermúdez-Silva
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Málaga, Spain; Clinical Unit of Endocrinology and Nutrition, University Regional Hospital of Málaga, Málaga, Spain; The Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Yan Ni
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, China
| | - Monica Lupsor-Platon
- Department of Medical Imaging, Prof. Dr. Octavian Fodor Regional Institute of Gastroenterology and Hepathology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Wah Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Nahum Méndez-Sánchez
- Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico; Liver Research Unit, Medica Sur Clinic & Foundation, Mexico City, Mexico
| | - Robert J de Knegt
- Department of Gastroenterology and Hepatology, Erasmus MC University Medical Centre, Rotterdam, the Netherlands
| | - Shahinul Alam
- Department of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Sombat Treeprasertsuk
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Li Wang
- School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Mulong Du
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Tiejun Zhang
- School of Public Health, the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan; School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Huijie Zhang
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xingshun Qi
- Department of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, Liaoning, China
| | - Xin Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Kanokwan Pinyopornpanish
- Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Yu-Chen Fan
- Department of Hepatology, Qilu Hospital, Shandong University, Jinan, China
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Josep C Jimenez-Chillaron
- Institut de Recerca Sant Joan de Déu, SJD-Barcelona Children's Hospital, Endocrine Division, Esplugues, Barcelona, Spain; Department of Physiological Sciences, School of Medicine, University of Barcelona, L'Hospitalet, Barcelona, Spain
| | - Ming-Hua Zheng
- MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China; Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China.
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12
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Marti-Aguado D, Calleja JL, Vilar-Gomez E, Iruzubieta P, Rodríguez-Duque JC, Del Barrio M, Puchades L, Rivera-Esteban J, Perelló C, Puente A, Gomez-Medina C, Escudero-García D, Serra MA, Bataller R, Crespo J, Arias-Loste MT. Low-to-moderate alcohol consumption is associated with increased fibrosis in individuals with metabolic dysfunction-associated steatotic liver disease. J Hepatol 2024; 81:930-940. [PMID: 38971533 DOI: 10.1016/j.jhep.2024.06.036] [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: 11/25/2023] [Revised: 06/22/2024] [Accepted: 06/25/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND & AIMS Both metabolic dysfunction and alcohol consumption cause steatotic liver disease (SLD). The distinction between metabolic dysfunction-associated SLD (MASLD) and MetALD categories is based on arbitrary thresholds of alcohol intake. Thus, we assessed the impact of different levels of alcohol consumption on SLD severity and their interaction with metabolic comorbidities. METHODS We performed a population-based study with transient elastography (FibroScan®) data from participants in Spain (derivation cohort) and the US (validation cohort). A controlled attenuation parameter ≥275 dB/m was used to define SLD. At least one cardiometabolic risk factor was required to define MASLD. Among patients with MASLD, low alcohol consumption was defined as an average of 5-9 drinks/week, moderate consumption as 10-13 drinks/week for females and 10-20 drinks/week for males, and increased alcohol intake (MetALD) as 14-35 drinks/week for females and 21-42 drinks/week for males. Significant fibrosis was defined as a liver stiffness measurement ≥8 kPa and at-risk metabolic dysfunction-associated steatohepatitis (MASH) as a FAST score ≥0.35. RESULTS The derivation cohort included 2,227 individuals with MASLD (9% reported low, 14% moderate alcohol consumption) and 76 cases with MetALD. Overall prevalences of significant fibrosis and at-risk MASH were 7.6% and 14.8%, respectively. In the multivariable analysis, alcohol consumption was independently associated with significant fibrosis and at-risk MASH. A dose-dependent increase in the prevalence of significant fibrosis and at-risk MASH was observed between the number of drinks/week and the number of cardiometabolic factors. The validation cohort included 1,732 participants with MASLD, of whom 17% had significant fibrosis and 13% at-risk MASH. This cohort validated the association between moderate intake and MASLD at risk of progression (odds ratio 1.69, 95% CI 1.06-2.71). CONCLUSIONS Moderate alcohol intake is commonly seen in MASLD and increases the risk of advanced disease to a level similar to that observed in MetALD. IMPACT AND IMPLICATIONS Metabolic risk factors such as overweight, diabetes or dyslipidemia, and alcohol consumption can cause liver disease. These factors frequently coexist, but their joint effects on liver fibrosis remain uncertain. In this study, we have analyzed individuals from the general population with MASLD (metabolic dysfunction-associated steatotic liver disease) enrolled in Spain and the US. We show that moderate alcohol consumption has a supra-additive effect with metabolic risk factors, exponentially increasing the risk of liver fibrosis. These results suggest that there are no safe limits of daily alcohol intake in patients with unhealthy metabolic status and MASLD.
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Affiliation(s)
- David Marti-Aguado
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - José Luis Calleja
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), Majadahonda, Spain; Universidad Autónoma Madrid, School of Medicine, Madrid, Spain
| | - Eduardo Vilar-Gomez
- Department of Medicine, Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Paula Iruzubieta
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla University Hospital, Group of Clinical and Translational Research in Digestive Diseases, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
| | - Juan Carlos Rodríguez-Duque
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla University Hospital, Group of Clinical and Translational Research in Digestive Diseases, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
| | - María Del Barrio
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla University Hospital, Group of Clinical and Translational Research in Digestive Diseases, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
| | - Laura Puchades
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Jesus Rivera-Esteban
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), Majadahonda, Spain
| | - Christie Perelló
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), Majadahonda, Spain
| | - Angela Puente
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla University Hospital, Group of Clinical and Translational Research in Digestive Diseases, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
| | - Concepción Gomez-Medina
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Desamparados Escudero-García
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain; University of Valencia, Faculty of Medicine, Valencia, Spain
| | - Miguel A Serra
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain; University of Valencia, Faculty of Medicine, Valencia, Spain
| | - Ramon Bataller
- Liver Unit, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; University of Barcelona, Faculty of Medicine, Barcelona, Spain.
| | - Javier Crespo
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla University Hospital, Group of Clinical and Translational Research in Digestive Diseases, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain.
| | - María Teresa Arias-Loste
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla University Hospital, Group of Clinical and Translational Research in Digestive Diseases, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain
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13
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Li M, Chen W, Deng Y, Xie W. Impacts of cardiometabolic risk factors and alcohol consumption on all-cause mortality among MASLD and its subgroups. Nutr Metab Cardiovasc Dis 2024; 34:2085-2094. [PMID: 38902191 DOI: 10.1016/j.numecd.2024.05.018] [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: 01/19/2024] [Revised: 04/07/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024]
Abstract
BACKGROUND AND AIMS Recently, metabolic dysfunction-associated steatotic liver disease (MASLD) has been introduced. However, research on this new nomenclature and definition remains limited. This study aims to assess the impact of cardiometabolic risk factors and alcohol consumption on all-cause mortality in MASLD and its subgroups. METHODS AND RESULTS We included 2408 participants with MASLD in NHANES III and their linked mortality through 2019. MASLD patients were divided into two groups based on alcohol consumption: Pure MASLD and MetALD. The Cox proportional hazard model was used to assess the association between factors and all-cause mortality. During the median 26.0-year follow-up, there were 1040 deaths. The multivariable Cox regression analysis revealed a significant increase of over two-fold in the all-cause mortality rate among patients with four or more cardiometabolic risk factors compared to those with only one. When focusing on each component of cardiometabolic risk factors individually, only diabetes and hypertension were significantly associated with all-cause mortality (p < 0.05). In a subgroup analysis, each additional cardiometabolic factor was linked to an increase in all-cause mortality in both pure MASLD (hazard ratio 1.16; 95% CI 1.06-1.28; p = 0.002) and MetALD (HR 1.77; 95% CI 1.26-2.49; p = 0.001). Notably, an elevation in alcohol consumption was significantly associated with an increase in all-cause mortality rate only in the MetALD (p < 0.001). CONCLUSIONS This study found that the presence of diabetes or hypertension was significantly associated with all-cause mortality. We also explored the different impacts of these factors and alcohol consumption within MASLD subgroups.
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Affiliation(s)
- Mengqi Li
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wenya Chen
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - You Deng
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wen Xie
- Center of Liver Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
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14
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Bawiskar N, Acharya S, Kumar S. Fatty liver disease - non alcoholic to metabolic - A transition of concepts!! J Family Med Prim Care 2024; 13:2857-2862. [PMID: 39228650 PMCID: PMC11368329 DOI: 10.4103/jfmpc.jfmpc_1863_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/12/2021] [Accepted: 01/12/2022] [Indexed: 09/05/2024] Open
Abstract
Metabolic dysfunction associated fatty liver disease (MAFLD) was a concept suggested lately. Initially, the only criterion for the diagnosis of MAFLD was the absence of alcohol intake. With rising prevalence and studies assessing this condition, certain "positive criteria" were put forth. Experts from 22 countries proposed a simple yet comprehensive definition for the condition independent of other liver diseases. The presence of hepatic steatosis in addition to diabetes mellitus type 2, metabolic dysregulation, and obesity is generally observed. Criteria to define MAFLD-associated cirrhosis were also proposed. Reaching an agreement on MAFLD criteria will help define a protocol (for example: for International classification of Diseases (ICD) - coding), which will improve clinical care and advance the clinical and scientific field of liver research. As it is a condition that increases the risk of diabetes mellitus, chronic kidney disease (CKD), cirrhosis, hepatocellular carcinoma, and cardiac disorders it is important to recognize it at an early stage which makes it essential part of family medicine and primary care.
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Affiliation(s)
- Nipun Bawiskar
- Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (Deemed to be University), Wardha, Maharashtra, India
| | - Sourya Acharya
- Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (Deemed to be University), Wardha, Maharashtra, India
| | - Sunil Kumar
- Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (Deemed to be University), Wardha, Maharashtra, India
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15
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Sena E, Tacke F, Anstee QM, Di Prospero N, Skalshøi-Kjær M, Muñoz-Martínez S, Rivera-Esteban J, Jiménez-Masip A, Bañales JM, Martínez-Gómez M, Koenig F, Genescà J, Ratziu V, Pericàs JM. Needs assessment for creation of a platform trial network in metabolic-dysfunction associated steatohepatitis. COMMUNICATIONS MEDICINE 2024; 4:144. [PMID: 39014214 PMCID: PMC11253004 DOI: 10.1038/s43856-024-00560-5] [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: 10/27/2023] [Accepted: 06/25/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND The EU Patient-cEntric clinicAl tRial pLatforms (EU-PEARL) project (IMI2-853966) aimed to develop tools to establish integrated research platforms (IRP) for conducting adaptive-design trials in various diseases, including metabolic-dysfunction associated steatohepatitis (MASH). One essential component of a successful MASH IRP is a robust and reliable Clinical Research Network (CRN). Herein, we outline the required elements and anticipated steps to set-up such a CRN. METHODS We identified European clinical research sites that could potentially serve as the foundation for MASH IRP and a CRN. A survey was sent to sites to assess their interest in joining a CRN, their familiarity with platform trials, and their capacity to participate in a future MASH IRP. RESULTS A total of 141 investigators were invited to participate in the survey, and 40% responded. More than half of the answers (52%) identify MASH with advanced fibrosis (F3-4) as the subpopulation with the greatest unmet need. Regarding the difficulty in identifying candidates for trials, 65% find it is moderately difficult and 30% very difficult. Most respondents (94%) believe that a platform trial could offer substantial benefits to patients. Nearly all researchers express interest in participating in a platform trial (78%), with 22% indicating their interest would be contingent on initial industry funding. CONCLUSION While preliminary, our findings on responding sites are encouraging for the potential establishment of a CRN for a MASH IRP. However, funding schemes and sustainability strategies to provide proof-of-platform in MASH seem key in the short-term scenario.
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Affiliation(s)
- Elena Sena
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Universitat Autònoma de Barcelona, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), Barcelona, Spain
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Quentin M Anstee
- Liver Unit, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | | | - Sergio Muñoz-Martínez
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Universitat Autònoma de Barcelona, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), Barcelona, Spain
| | - Jesús Rivera-Esteban
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Universitat Autònoma de Barcelona, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), Barcelona, Spain
| | - Alba Jiménez-Masip
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Universitat Autònoma de Barcelona, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), Barcelona, Spain
| | - Jesús M Bañales
- Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute-Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - María Martínez-Gómez
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Universitat Autònoma de Barcelona, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), Barcelona, Spain
| | - Franz Koenig
- Center for Medical Data Science, Medical University of Vienna, Vienna, Austria
| | - Joan Genescà
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Universitat Autònoma de Barcelona, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), Barcelona, Spain
| | - Vlad Ratziu
- Department of Hepatology, Pitié-Salpetriere Hospital, University Paris 6, Paris, France
| | - Juan M Pericàs
- Liver Unit, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Universitat Autònoma de Barcelona, Spanish Network of Biomedical Research on Digestive and Liver Diseases (CIBERehd), Barcelona, Spain.
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16
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Pan Z, Khatry MA, Yu ML, Choudhury A, Sebastiani G, Alqahtani SA, Eslam M. MAFLD: an ideal framework for understanding disease phenotype in individuals of normal weight. Ther Adv Endocrinol Metab 2024; 15:20420188241252543. [PMID: 38808010 PMCID: PMC11131400 DOI: 10.1177/20420188241252543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/10/2024] [Indexed: 05/30/2024] Open
Abstract
The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) is significant, impacting almost one-third of the global population. MAFLD constitutes a primary cause of end-stage liver disease, liver cancer and the need for liver transplantation. Moreover, it has a strong association with increased mortality rates due to various extrahepatic complications, notably cardiometabolic diseases. While MAFLD is typically correlated with obesity, not all individuals with obesity develop the disease and a significant percentage of MAFLD occurs in patients without obesity, termed lean MAFLD. The clinical features, progression and underlying physiological mechanisms of patients with lean MAFLD remain inadequately characterized. The present review aims to provide a comprehensive summary of current knowledge on lean MAFLD and offer a perspective on defining MAFLD in individuals with normal weight. Key to this process is the concept of metabolic health and flexibility, which links states of dysmetabolism to the development of lean MAFLD. This perspective offers a more nuanced understanding of MAFLD and its underlying mechanisms and highlights the importance of considering the broader metabolic context in which the disease occurs. It also bridges the knowledge gap and offers insights that can inform clinical practice.
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Affiliation(s)
- Ziyan Pan
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Maryam Al Khatry
- Department of Gastroenterology, Obaidullah Hospital, Emirates Health Services, Ministry of Health, Ras Al Khaimah, United Arab Emirates
| | - Ming-Lung Yu
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ashok Choudhury
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Giada Sebastiani
- Division of Gastroenterology and Hepatology, McGill University Health Centre, Montreal, QC, Canada
| | - Saleh A. Alqahtani
- Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
- Division of Gastroenterology and Hepatology, Johns Hopkins University, Baltimore, MD, USA
| | - Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, 176 Hawkesbury Road, Westmead 2145, NSW, Australia
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17
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Marti-Aguado D, Arnouk J, Liang JX, Lara-Romero C, Behari J, Furlan A, Jimenez-Pastor A, Ten-Esteve A, Alfaro-Cervello C, Bauza M, Gallen-Peris A, Gimeno-Torres M, Merino-Murgui V, Perez-Girbes A, Benlloch S, Pérez-Rojas J, Puglia V, Ferrández-Izquierdo A, Aguilera V, Giesteira B, França M, Monton C, Escudero-García D, Alberich-Bayarri Á, Serra MA, Bataller R, Romero-Gomez M, Marti-Bonmati L. Development and validation of an image biomarker to identify metabolic dysfunction associated steatohepatitis: MR-MASH score. Liver Int 2024; 44:202-213. [PMID: 37904633 DOI: 10.1111/liv.15766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/11/2023] [Accepted: 10/08/2023] [Indexed: 11/01/2023]
Abstract
BACKGROUND AND AIMS Diagnosis of metabolic dysfunction-associated steatohepatitis (MASH) requires histology. In this study, a magnetic resonance imaging (MRI) score was developed and validated to identify MASH in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Secondarily, a screening strategy for MASH diagnosis was investigated. METHODS This prospective multicentre study included 317 patients with biopsy-proven MASLD and contemporaneous MRI. The discovery cohort (Spain, Portugal) included 194 patients. NAFLD activity score (NAS) and fibrosis were assessed with the NASH-CRN histologic system. MASH was defined by the presence of steatosis, lobular inflammation, and ballooning, with NAS ≥4 with or without fibrosis. An MRI-based composite biomarker of Proton Density Fat Fraction and waist circumference (MR-MASH score) was developed. Findings were afterwards validated in an independent cohort (United States, Spain) with different MRI protocols. RESULTS In the derivation cohort, 51% (n = 99) had MASH. The MR-MASH score identified MASH with an AUC = .88 (95% CI .83-.93) and strongly correlated with NAS (r = .69). The MRI score lower cut-off corresponded to 88% sensitivity with 86% NPV, while the upper cut-off corresponded to 92% specificity with 87% PPV. MR-MASH was validated with an AUC = .86 (95% CI .77-.92), 91% sensitivity (lower cut-off) and 87% specificity (upper cut-off). A two-step screening strategy with sequential MR-MASH examination performed in patients with indeterminate-high FIB-4 or transient elastography showed an 83-84% PPV to identify MASH. The AUC of MR-MASH was significantly higher than that of the FAST score (p < .001). CONCLUSIONS The MR-MASH score has clinical utility in the identification and management of patients with MASH at risk of progression.
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Affiliation(s)
- David Marti-Aguado
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
| | - Joud Arnouk
- Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Jia-Xu Liang
- Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain
- Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain
| | - Carmen Lara-Romero
- Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain
- Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain
| | - Jaideep Behari
- Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Alessandro Furlan
- Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Ana Jimenez-Pastor
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain
| | - Amadeo Ten-Esteve
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
| | - Clara Alfaro-Cervello
- Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Mónica Bauza
- Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Ana Gallen-Peris
- Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain
| | - Marta Gimeno-Torres
- Digestive Disease Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Víctor Merino-Murgui
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Alexandre Perez-Girbes
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Radiology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Salvador Benlloch
- Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain
- CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain
| | - Judith Pérez-Rojas
- Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Víctor Puglia
- Pathology Department, Hospital Arnau de Vilanova, Valencia, Spain
| | - Antonio Ferrández-Izquierdo
- Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Victoria Aguilera
- CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain
- Hepatology and Liver Transplantation Unit, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Bruno Giesteira
- Radiology Department, Centro Hospitalar Universitário do Porto, Instituto de Ciências Biomédicas de Abel Salazar, University of Porto, Porto, Portugal
| | - Manuela França
- Radiology Department, Centro Hospitalar Universitário do Porto, Instituto de Ciências Biomédicas de Abel Salazar, University of Porto, Porto, Portugal
| | - Cristina Monton
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Desamparados Escudero-García
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ángel Alberich-Bayarri
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain
| | - Miguel A Serra
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ramon Bataller
- Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Manuel Romero-Gomez
- Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain
- Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain
- University of Seville, Seville, Spain
| | - Luis Marti-Bonmati
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Radiology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
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18
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Ramírez-Mejía MM, Qi X, Abenavoli L, Romero-Gómez M, Eslam M, Méndez-Sánchez N. Metabolic dysfunction: The silenced connection with fatty liver disease. Ann Hepatol 2023; 28:101138. [PMID: 37468095 DOI: 10.1016/j.aohep.2023.101138] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/26/2023] [Accepted: 05/29/2023] [Indexed: 07/21/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) represents a global public health burden. Despite the increase in its prevalence, the disease has not received sufficient attention compared to the associated diseases such as diabetes mellitus and obesity. In 2020 it was proposed to rename NAFLD to metabolic dysfunction-associated fatty liver disease (MAFLD) in order to recognize the metabolic risk factors and the complex pathophysiological mechanisms associated with its development. Furthermore, along with the implementation of the proposed diagnostic criteria, the aim is to address the whole clinical spectrum of the disease, regardless of BMI and the presence of other hepatic comorbidities. As would it be expected with such a paradigm shift, differing viewpoints have emerged regarding the benefits and disadvantages of renaming fatty liver disease. The following review aims to describe the way to the MAFLD from a historical, pathophysiological and clinical perspective in order to highlight why MAFLD is the approach to follow.
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Affiliation(s)
- Mariana M Ramírez-Mejía
- Plan of Combined Studies in Medicine (PECEM-MD/PhD), Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico; Liver Research Unit, Medica Sur Clinic & Foundation, Mexico City, Mexico
| | - Xingshun Qi
- Department of Gastroenterology, General Hospital of Northern Theater Command (formerly General Hospital of Shenyang Military Area), Liaoning Province, China
| | - Ludovico Abenavoli
- Department of Health Sciences, University Magna Graecia of Catanzaro, Italy
| | - Manuel Romero-Gómez
- Digestive Diseases Unit, Department of Medicine, SeLiver Group, Institute of Biomedicine of Sevilla (HUVR/CSIC/US), University of Seville, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, NSW, Australia
| | - Nahum Méndez-Sánchez
- Liver Research Unit, Medica Sur Clinic & Foundation, Mexico City, Mexico; Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
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Ding Y, Deng Q, Yang M, Niu H, Wang Z, Xia S. Clinical Classification of Obesity and Implications for Metabolic Dysfunction-Associated Fatty Liver Disease and Treatment. Diabetes Metab Syndr Obes 2023; 16:3303-3329. [PMID: 37905232 PMCID: PMC10613411 DOI: 10.2147/dmso.s431251] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/10/2023] [Indexed: 11/02/2023] Open
Abstract
Obesity,and metabolic dysfunction-associated fatty liver disease (MAFLD) have reached epidemic proportions globally. Obesity and MAFLD frequently coexist and act synergistically to increase the risk of adverse clinical outcomes (both hepatic and extrahepatic). Type 2 diabetes mellitus (T2DM) is the most important risk factor for rapid progression of steatohepatitis and advanced fibrosis. Conversely, the later stages of MAFLD are associated with an increased risk of T2DM incident. According to the proposed criteria, MAFLD is diagnosed in patients with liver steatosis and in at least one in three: overweight or obese, T2DM, or signs of metabolic dysregulation if they are of normal weight. However, the clinical classification and correlation between obesity and MAFLD is more complex than expected. In addition, treatment for obesity and MAFLD are associated with a reduced risk of T2DM, suggesting that liver-based treatments could reduce the risk of developing T2DM. This review describes the clinical classification of obesity and MAFLD, discusses the clinical features of various types of obesity and MAFLD, emphasizes the role of visceral obesity and insulin resistance (IR) in the development of MAFLD,and summarizes the existing treatments for obesity and MAFLD that reduce the risk of developing T2DM.
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Affiliation(s)
- Yuping Ding
- Department of Gastroenterology and Hepatology, Characteristic Medical Center of the Chinese People’s Armed Police Force, Tianjin, 300162, People’s Republic of China
- Tianjin Key Laboratory of Hepatopancreatic Fibrosis and Molecular Diagnosis & Treatment, Tianjin, 300162, People’s Republic of China
| | - Quanjun Deng
- Department of Gastroenterology and Hepatology, Characteristic Medical Center of the Chinese People’s Armed Police Force, Tianjin, 300162, People’s Republic of China
- Tianjin Key Laboratory of Hepatopancreatic Fibrosis and Molecular Diagnosis & Treatment, Tianjin, 300162, People’s Republic of China
| | - Mei Yang
- Department of Gastroenterology and Hepatology, Characteristic Medical Center of the Chinese People’s Armed Police Force, Tianjin, 300162, People’s Republic of China
- Tianjin Key Laboratory of Hepatopancreatic Fibrosis and Molecular Diagnosis & Treatment, Tianjin, 300162, People’s Republic of China
| | - Haiyan Niu
- Department of Gastroenterology and Hepatology, Characteristic Medical Center of the Chinese People’s Armed Police Force, Tianjin, 300162, People’s Republic of China
- Tianjin Key Laboratory of Hepatopancreatic Fibrosis and Molecular Diagnosis & Treatment, Tianjin, 300162, People’s Republic of China
| | - Zuoyu Wang
- Department of Gastroenterology and Hepatology, Characteristic Medical Center of the Chinese People’s Armed Police Force, Tianjin, 300162, People’s Republic of China
- Tianjin Key Laboratory of Hepatopancreatic Fibrosis and Molecular Diagnosis & Treatment, Tianjin, 300162, People’s Republic of China
| | - Shihai Xia
- Department of Gastroenterology and Hepatology, Characteristic Medical Center of the Chinese People’s Armed Police Force, Tianjin, 300162, People’s Republic of China
- Tianjin Key Laboratory of Hepatopancreatic Fibrosis and Molecular Diagnosis & Treatment, Tianjin, 300162, People’s Republic of China
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20
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Abstract
Non-Alcoholic Fatty Liver Disease (NAFLD) refers to the accumulation of lipid laden vacuoles in hepatocytes, occurring in the context of visceral adiposity, insulin resistance and other features of the metabolic syndrome. Its more severe form (NASH, Non-Alcoholic Steatohepatitis) is becoming the leading aetiology of end-stage liver disease and hepatocellular carcinoma, and also contributes to cardiovascular disease, diabetes and extrahepatic malignancy. Management is currently limited to lifestyle modification and optimisation of the metabolic co-morbidities, with some of the drugs used for the latter also having shown some benefit for the liver. Licensed treatment modalities are currently lacking. A particular difficulty is the notorious heterogeneity of the patient population, which is poorly understood. A spectrum of disease severity associates in a non-linear way with a spectrum of severity of underlying metabolic factors. Heterogeneity of the liver in terms of mechanisms to cope with the metabolic and inflammatory stress and in terms of repair mechanisms, and a lack of knowledge hereof, further complicate the understanding of inter-individual variability. Genetic factors act as disease modifiers and potentially allow for some risk stratification, but also only explain a minor fraction of disease heterogeneity. Response to treatment shows a large variation in treatment response, again with little understanding of what is driving the absence of response in individual patients. Management can be tailored to patient's preferences in terms of diet modification, but tailoring treatment to knowledge on disease driving mechanisms in an individual patient is still in its infancy. Recent progress in analysing liver tissue as well as non-invasive tests hold, however, promise to rapidly improve our understanding of disease heterogeneity in NAFLD and provide individualised management.
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Affiliation(s)
- Sven M Francque
- Department of Gastroenterology Hepatology, Antwerp University Hospital, Drie Eikenstraat 655, B-2650, Edegem, Belgium.
- InflaMed Centre of Excellence, Laboratory for Experimental Medicine and Paediatrics, Translational Sciences in Inflammation and Immunology, Faculty of Medicine and Health Sciences, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium.
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21
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Xie J, Xu L, Huang H, Chen Y, Wang J, Li Y, Yu C, Xu C. A simpler definition of MAFLD precisely predicts incident metabolic diseases: a 7-year cohort study. Hepatol Int 2023; 17:1182-1191. [PMID: 37322380 DOI: 10.1007/s12072-023-10558-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 05/27/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD) is a novel definition proposed in 2020 with a relatively complex set of criteria. Thus, simplified criteria that are more applicable are required. This study aimed to develop a simplified set of criteria for identifying MAFLD and predicting MAFLD-related metabolic diseases. METHODS We developed a simplified set of metabolic syndrome-based criteria for MAFLD, and compared the performance of the simplified criteria with that of the original criteria in predicting MAFLD-related metabolic diseases in a 7-year follow-up. RESULTS In the 7-year cohort, a total of 13,786 participants, including 3372 (24.5%) with fatty liver, were enrolled at baseline. Of the 3372 participants with fatty liver, 3199 (94.7%) met the MAFLD-original criteria, 2733 (81.0%) met the simplified criteria, and 164 (4.9%) were metabolic healthy and met neither of the criteria. During 13,612 person-years of follow-up, 431 (16.0%) fatty liver individuals newly developed T2DM, with an incidence rate of 31.7 per 1000 person-years. Participants who met the simplified criteria had a higher risk of incident T2DM than those who met the original criteria. Similar results were observed for incident hypertension, and incident carotid atherosclerotic plaque. CONCLUSION The MAFLD-simplified criteria are an optimized risk stratification tool for predicting metabolic diseases in fatty liver individuals.
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Affiliation(s)
- Jiarong Xie
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, China
- Department of Gastroenterology, Ningbo First Hospital, Ningbo, China
| | - Lei Xu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Department of Gastroenterology, the First Affiliated Hospital of Ningbo University, Ningbo, China
- Department of Gastroenterology, Ningbo First Hospital, Ningbo, China
| | - Hangkai Huang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Yishu Chen
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Jinghua Wang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Youming Li
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Chaohui Yu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Chengfu Xu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China.
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22
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Adams LA. Metabolic Health and Outcomes in Fatty Liver: Does a Name Change Matter? Clin Gastroenterol Hepatol 2023; 21:2481-2482. [PMID: 36462756 DOI: 10.1016/j.cgh.2022.11.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 12/02/2022]
Affiliation(s)
- Leon A Adams
- Medical School, The University of Western Australia, Perth, Western Australia, Australia; Department of Hepatology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
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23
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Marti-Aguado D, Ten-Esteve A, Baracaldo-Silva CM, Crespo A, Coello E, Merino-Murgui V, Fernandez-Paton M, Alfaro-Cervello C, Sánchez-Martín A, Bauza M, Jimenez-Pastor A, Perez-Girbes A, Benlloch S, Pérez-Rojas J, Puglia V, Ferrández A, Aguilera V, Latorre M, Monton C, Escudero-García D, Bosch-Roig I, Alberich-Bayarri Á, Marti-Bonmati L. Pancreatic steatosis and iron overload increases cardiovascular risk in non-alcoholic fatty liver disease. Front Endocrinol (Lausanne) 2023; 14:1213441. [PMID: 37600695 PMCID: PMC10436077 DOI: 10.3389/fendo.2023.1213441] [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: 04/27/2023] [Accepted: 07/18/2023] [Indexed: 08/22/2023] Open
Abstract
Objective To assess the prevalence of pancreatic steatosis and iron overload in non-alcoholic fatty liver disease (NAFLD) and their correlation with liver histology severity and the risk of cardiometabolic diseases. Method A prospective, multicenter study including NAFLD patients with biopsy and paired Magnetic Resonance Imaging (MRI) was performed. Liver biopsies were evaluated according to NASH Clinical Research Network, hepatic iron storages were scored, and digital pathology quantified the tissue proportionate areas of fat and iron. MRI-biomarkers of fat fraction (PDFF) and iron accumulation (R2*) were obtained from the liver and pancreas. Different metabolic traits were evaluated, cardiovascular disease (CVD) risk was estimated with the atherosclerotic CVD score, and the severity of iron metabolism alteration was determined by grading metabolic hiperferritinemia (MHF). Associations between CVD, histology and MRI were investigated. Results In total, 324 patients were included. MRI-determined pancreatic iron overload and moderate-to severe steatosis were present in 45% and 25%, respectively. Liver and pancreatic MRI-biomarkers showed a weak correlation (r=0.32 for PDFF, r=0.17 for R2*). Pancreatic PDFF increased with hepatic histologic steatosis grades and NASH diagnosis (p<0.001). Prevalence of pancreatic steatosis and iron overload increased with the number of metabolic traits (p<0.001). Liver R2* significantly correlated with MHF (AUC=0.77 [0.72-0.82]). MRI-determined pancreatic steatosis (OR=3.15 [1.63-6.09]), and iron overload (OR=2.39 [1.32-4.37]) were independently associated with high-risk CVD. Histologic diagnosis of NASH and advanced fibrosis were also associated with high-risk CVD. Conclusion Pancreatic steatosis and iron overload could be of utility in clinical decision-making and prognostication of NAFLD.
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Affiliation(s)
- David Marti-Aguado
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
| | - Amadeo Ten-Esteve
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Department of Technologies for Health and Well-Being, Polytechnic University of Valencia, Valencia, Spain
| | | | - Ana Crespo
- Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain
| | - Elena Coello
- Hepatology and Liver Transplantation Unit, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Víctor Merino-Murgui
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Matias Fernandez-Paton
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
| | - Clara Alfaro-Cervello
- Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Alba Sánchez-Martín
- Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Mónica Bauza
- Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Ana Jimenez-Pastor
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain
| | | | - Salvador Benlloch
- Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain
- CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain
| | - Judith Pérez-Rojas
- Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Víctor Puglia
- Pathology Department, Hospital Arnau de Vilanova, Valencia, Spain
| | - Antonio Ferrández
- Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Victoria Aguilera
- Hepatology and Liver Transplantation Unit, La Fe University and Polytechnic Hospital, Valencia, Spain
- CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain
| | - Mercedes Latorre
- Hepatology Unit, Consorcio Hospital General Universitario de Valencia, Valencia, Spain
| | - Cristina Monton
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
| | - Desamparados Escudero-García
- Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ignacio Bosch-Roig
- Universitat Politècnica de València, Institute of Telecommunications and Multimedia Applications (iTEAM), Valencia, Spain
| | - Ángel Alberich-Bayarri
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain
| | - Luis Marti-Bonmati
- Biomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS), Valencia, Spain
- Radiology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
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24
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Nysather J, Kaya E, Manka P, Gudsoorkar P, Syn WK. Nonalcoholic Fatty Liver Disease and Chronic Kidney Disease Cross Talk. ADVANCES IN KIDNEY DISEASE AND HEALTH 2023; 30:315-335. [PMID: 37657879 DOI: 10.1053/j.akdh.2023.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/14/2022] [Accepted: 04/04/2023] [Indexed: 09/03/2023]
Abstract
Nonalcoholic fatty liver disease is a multisystem condition with effects beyond the liver. The identification of chronic kidney disease as an independent mediator of nonalcoholic fatty liver disease or associated entity with shared cardiometabolic risk factors remains controversial and continues to draw scientific interest. With increasing prevalence of nonalcoholic fatty liver disease and lack of Food and Drug Administration approved therapies, these shared cardiometabolic risk factors have drawn significant attention. In this article, we review shared pathophysiological mechanisms between nonalcoholic fatty liver disease and chronic kidney disease along with current treatment strategies that might be useful for both disease processes.
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Affiliation(s)
- Jacob Nysather
- Division of Nephrology and Kidney C.A.R.E. Program, University of Cincinnati, OH
| | - Eda Kaya
- Department of Internal Medicine, University Hospital Knappschaftskrankenhaus Bochum, Ruhr-University Bochum, Bochum, Germany
| | - Paul Manka
- Department of Internal Medicine, University Hospital Knappschaftskrankenhaus Bochum, Ruhr-University Bochum, Bochum, Germany
| | - Prakash Gudsoorkar
- Division of Nephrology and Kidney C.A.R.E. Program, University of Cincinnati, OH
| | - Wing-Kin Syn
- Division of Gastroenterology and Hepatology, Saint Louis University School of Medicine, St. Louis, MO; Division of Gastroenterology and Hepatology, Medical University of South Carolina, Charleston, SC; Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country, Euskal Herriko Unibertsitatea/Universidad del País Vasco, Leioa, Spain.
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25
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Alomari M, Rashid MU, Chadalavada P, Ragheb J, Zafar H, Suarez ZK, Khazaaleh S, Gonzalez AJ, Castro FJ. Comparison between metabolic-associated fatty liver disease and nonalcoholic fatty liver disease: From nomenclature to clinical outcomes. World J Hepatol 2023; 15:477-496. [PMID: 37206648 PMCID: PMC10190689 DOI: 10.4254/wjh.v15.i4.477] [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: 12/27/2022] [Revised: 02/04/2023] [Accepted: 03/22/2023] [Indexed: 04/20/2023] Open
Abstract
As a result of the obesity epidemic, Nonalcoholic fatty liver disease (NAFLD) and its complications have increased among millions of people. Consequently, a group of experts recommended changing the term NAFLD to an inclusive terminology more reflective of the underlying pathogenesis; metabolic-associated fatty liver disease (MAFLD). This new term of MAFLD has its own disease epidemiology and clinical outcomes prompting efforts in studying its differences from NAFLD. This article discusses the rationale behind the nomenclature change, the main differences, and its clinical implications.
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Affiliation(s)
- Mohammad Alomari
- Department of Gastroenterology and Hepatology, Cleveland Clinic Florida, Weston, FL 33331, United States.
| | - Mamoon Ur Rashid
- Department of Gastroenterology and Hepatology, Cleveland Clinic Florida, Weston, FL 33331, United States
| | - Pravallika Chadalavada
- Department of Gastroenterology and Hepatology, Cleveland Clinic Florida, Weston, FL 33331, United States
| | - Jonathan Ragheb
- Department of Gastroenterology and Hepatology, Cleveland Clinic Florida, Weston, FL 33331, United States
| | - Hammad Zafar
- Department of Gastroenterology and Hepatology, Cleveland Clinic Florida, Weston, FL 33331, United States
| | - Zoilo Karim Suarez
- Department of Internal Medicine, Florida Atlantic University Charles E Schmidt College of Medicine, Boca Raton, FL 33431, United States
| | - Shrouq Khazaaleh
- Department of Internal Medicine, Cleveland Clinic Fairview Hospital, Cleveland, OH 44126, United States
| | - Adalberto Jose Gonzalez
- Department of Gastroenterology and Hepatology, Cleveland Clinic Florida, Weston, FL 33331, United States
| | - Fernando J Castro
- Department of Gastroenterology and Hepatology, Cleveland Clinic Florida, Weston, FL 33331, United States
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26
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Kang MK, Lee YR, Jang SY, Tak WY, Kweon YO, Song JE, Loomba R, Park SY, Park JG. Impact of metabolic factors on risk of cardiovascular disease in nondiabetic metabolic dysfunction-associated fatty liver disease. Hepatol Int 2023; 17:626-635. [PMID: 37069419 DOI: 10.1007/s12072-023-10517-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/07/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND AND AIM Changing terminology of non-alcoholic fatty liver disease (NAFLD) to metabolic dysfunction-associated fatty liver disease (MAFLD) is recently proposed by expert panels based on metabolic dysregulations. However, clinical evidences for the risk of cardiovascular disease (CVD) in MAFLD are limited. The aim of this study is evaluating the association of cardiovascular risk in these two terminology and subgroups of MAFLD. METHODS A total of 2133 individuals who underwent ultrasound and cardiac computed tomography contemporaneously were included at a single medical checkup center. Ultrasound was used to define fatty liver, and coronary artery calcification (CAC) defined a coronary artery calcium score above 0 was used to estimate the cardiovascular risk. RESULTS Overall, 911 participants were diagnosed with fatty liver. In the unadjusted analysis, NAFLD (OR = 1.4, 95% confidence interval [CI] = 1.05-1.85, p = 0.019) and MAFLD (OR = 1.55, 95% CI = 1.29-1.86, p = 0.046) were significantly associated with CAC. However, in sex and age-adjusted analyses, only MAFLD was associated with CAC (adjusted OR [aOR] = 1.38, 95% CI = 1.14-1.69, p = 0.001). Of the three subgroups of MAFLD (diabetic, nondiabetic overweight/obese, and nondiabetic normal weight/lean with at least two metabolic abnormalities), only diabetic MAFLD was associated with CAC (aOR = 2.65, 95% CI = 1.98-3.55, p < 0.001). When the minimal number of metabolic risk abnormalities increased to three, nondiabetic normal-weight/lean MAFLD was associated with CAC (aOR = 1.35, 95% CI = 1.02-1.77, p = 0.034). CONCLUSION Diabetic MAFLD predicted high-risk CVD phenotypes the best. Metabolic risk abnormalities in nondiabetic MAFLD patients were independently associated with the risk of CVD. The proposed diagnostic criteria for nondiabetic MAFLD need further investigation in terms of CVD risk.
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Affiliation(s)
- Min Kyu Kang
- Department of Internal Medicine, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Yu Rim Lee
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Se Young Jang
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Won Young Tak
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Young Oh Kweon
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Jeong Eun Song
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Republic of Korea
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA
- Division of Epidemiology, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Soo Young Park
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
| | - Jung Gil Park
- Department of Internal Medicine, College of Medicine, Yeungnam University, Daegu, Republic of Korea.
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27
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Almomani A, Kumar P, Onwuzo S, Boustany A, Krishtopaytis E, Hitawala A, Alshaikh D, Albakri A, Hussein L, Hussein E, Asaad I. Epidemiology and prevalence of lean nonalcoholic fatty liver disease and associated cirrhosis, hepatocellular carcinoma, and cardiovascular outcomes in the United States: a population-based study and review of literature. J Gastroenterol Hepatol 2023; 38:269-273. [PMID: 36328950 PMCID: PMC10098473 DOI: 10.1111/jgh.16049] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 10/23/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUNDS Nonalcoholic fatty liver disease (NAFLD) is linked to obesity and metabolic syndrome conditions. However, a subset of NAFLD patients express a normal or low body mass index (lean NAFLD [L-NAFLD]). Our aim is to compare the prevalence of L-NAFLD to the obesity-associated NAFLD in the United States by assessing prevalence, potential risk factors, liver-related complications, and coronary artery disease outcomes. METHODOLOGY A multicenter database (Explorys Inc.) of >70 million patients across the United States was screened. A cohort of patients with "nonalcoholic fatty liver" between 1999 and 2021 was identified. Two sub-cohorts of NAFLD patients were identified: those with a body mass index (BMI) < 25 kg/m2 (L-NAFLD) and those with a BMI > 30 kg/m2 (obesity-associated NAFLD). We excluded patients with age <18 and those who have viral hepatitis, hemochromatosis, Wilson's disease, biliary cirrhosis, alcoholic liver disease, cystic fibrosis, alpha-1-antitrypsin deficiency, and autoimmune hepatitis. Multivariate analysis was performed to adjust for confounders. RESULTS 68 892 260 individuals were screened. NAFLD prevalence was four per 100 000, and L-NAFLD prevalence was 0.6 per 100 000. Compared with those without, patients with L-NAFLD tended to be older (OR 2.16), females (OR 1.28), and smokers (OR 4.67) and of Asian race (OR 2.12). L-NAFLD patients were more likely to have acute coronary syndromes (OR 30.00) and metabolic syndrome (OR 2.31) despite the normal/low BMI. Esophageal varices and hepatocellular carcinoma risks were high in both cirrhosis patients. CONCLUSION This is the largest study to assess L-NAFLD prevalence in the United States. L-NAFLD are at a significantly higher risk for acute coronary syndromes, esophageal varices, and hepatocellular carcinoma.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Leen Hussein
- Al Andalus University for Medical Sciences, Tartus, Syria
| | | | - Imad Asaad
- Cleveland Clinic Foundation, Cleveland, OH, USA
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28
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Payne JY, Alkhouri N, Le P, Rothberg MB, Polanco P, Sakkal C, Dasarathy S. Prevalence of at-risk NASH and its association with metabolic syndrome in US adults with NAFLD, 2017-2018. Hepatol Commun 2023; 7:e0019. [PMID: 36633494 PMCID: PMC9833447 DOI: 10.1097/hc9.0000000000000019] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 07/22/2022] [Indexed: 01/13/2023] Open
Abstract
Patients with metabolic syndrome (MetS) have a higher risk for NASH and significant fibrosis. Presence of NASH and advanced fibrosis are associated with adverse outcomes in patients with NAFLD. Using a noninvasive method, we determined the prevalence of at-risk NASH and its association with MetS components in a large population-based analysis. We used the 2017-2018 National Health and Nutrition Examination Survey and included adults ≥18 years with NAFLD (controlled attenuation parameter ≥274 dB/m). Pregnancy, subjects with other causes of liver disease or missing data were excluded. FibroScan-AST (FAST) score was calculated using aspartate aminotransferase, liver stiffness measurement, and controlled attenuation parameter. Patients with a FAST score >0.35 were considered to have at-risk NASH, defined as NASH with NAFLD activity score ≥4 and fibrosis stage ≥2 on liver biopsy. The sample included 687 patients. The overall prevalence of at-risk NASH was 11.6% (95% CI: 8.8-15.1) and was higher in males than females (15.8% vs. 6.5%; p < 0.001). Subjects with comorbidities (diabetes mellitus, obesity, MetS, and insulin resistance) had between 1.3 and 1.7 times higher prevalence than the general population. Among MetS components, elevated glucose/diabetes, large waist circumference, and low HDL were independent risk factors for at risk-NASH. The number of MetS components was also important-one additional component increased the odds of at-risk NASH by 2 times. The FAST score had the highest correlation with alanine aminotransferase (r= 0.70; p < 0.001). We estimated ~9 million people in the US have at-risk NASH and may benefit from active surveillance and therapy.
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Affiliation(s)
- Julia Y. Payne
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | | | - Phuc Le
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio, USA
| | - Michael B. Rothberg
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio, USA
| | | | | | - Srinivasan Dasarathy
- Department of Inflammation and Immunity, Lerner Research Institute and Department of Gastroenterology, Hepatology, and Nutrition, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
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29
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Zhou XD, Cai J, Targher G, Byrne CD, Shapiro MD, Sung KC, Somers VK, Chahal CAA, George J, Chen LL, Zhou Y, Zheng MH. Metabolic dysfunction-associated fatty liver disease and implications for cardiovascular risk and disease prevention. Cardiovasc Diabetol 2022; 21:270. [PMID: 36463192 PMCID: PMC9719631 DOI: 10.1186/s12933-022-01697-0] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/14/2022] [Indexed: 12/07/2022] Open
Abstract
The newly proposed term "metabolic dysfunction-associated fatty liver disease" (MAFLD) is replacing the old term "non-alcoholic fatty liver disease" (NAFLD) in many global regions, because it better reflects the pathophysiology and cardiometabolic implications of this common liver disease. The proposed change in terminology from NAFLD to MAFLD is not simply a single-letter change in an acronym, since MAFLD is defined by a set of specific and positive diagnostic criteria. In particular, the MAFLD definition specifically incorporates within the classification recognized cardiovascular risk factors. Although convincing evidence supports a significant association between both NAFLD and MAFLD, with increased risk of CVD morbidity and mortality, neither NAFLD nor MAFLD have received sufficient attention from the Cardiology community. In fact, there is a paucity of scientific guidelines focusing on this common and burdensome liver disease from cardiovascular professional societies. This Perspective article discusses the rationale and clinical relevance for Cardiologists of the newly proposed MAFLD definition.
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Affiliation(s)
- Xiao-Dong Zhou
- Department of Cardiovascular Medicine, the Heart Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jingjing Cai
- Department of Cardiology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Giovanni Targher
- Department of Medicine, Section of Endocrinology, Diabetes, and Metabolism, University of Verona, Verona, Italy
| | - Christopher D Byrne
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton, Southampton General Hospital, Southampton, UK
| | - Michael D Shapiro
- Center for Prevention of Cardiovascular Disease, Section On Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Ki-Chul Sung
- Department of Internal Medicine, Division of Cardiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Virend K Somers
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, USA
| | - C Anwar A Chahal
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, NSW, Australia
| | - Li-Li Chen
- MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yong Zhou
- Clinical Research Institute, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ming-Hua Zheng
- MAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
- Institute of Hepatology, Wenzhou Medical University, Wenzhou, China.
- Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China.
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Chua D, Low ZS, Cheam GX, Ng AS, Tan NS. Utility of Human Relevant Preclinical Animal Models in Navigating NAFLD to MAFLD Paradigm. Int J Mol Sci 2022; 23:14762. [PMID: 36499091 PMCID: PMC9737809 DOI: 10.3390/ijms232314762] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/15/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022] Open
Abstract
Fatty liver disease is an emerging contributor to disease burden worldwide. The past decades of work established the heterogeneous nature of non-alcoholic fatty liver disease (NAFLD) etiology and systemic contributions to the pathogenesis of the disease. This called for the proposal of a redefinition in 2020 to that of metabolic dysfunction-associated fatty liver disease (MAFLD) to better reflect the current understanding of the disease. To date, several clinical cohort studies comparing NAFLD and MAFLD hint at the relevancy of the new nomenclature in enriching for patients with more severe hepatic injury and extrahepatic comorbidities. However, the underlying systemic pathogenesis is still not fully understood. Preclinical animal models have been imperative in elucidating key biological mechanisms in various contexts, including intrahepatic disease progression, interorgan crosstalk and systemic dysregulation. Furthermore, they are integral in developing novel therapeutics against MAFLD. However, substantial contextual variabilities exist across different models due to the lack of standardization in several aspects. As such, it is crucial to understand the strengths and weaknesses of existing models to better align them to the human condition. In this review, we consolidate the implications arising from the change in nomenclature and summarize MAFLD pathogenesis. Subsequently, we provide an updated evaluation of existing MAFLD preclinical models in alignment with the new definitions and perspectives to improve their translational relevance.
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Affiliation(s)
- Damien Chua
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Singapore 308232, Singapore
| | - Zun Siong Low
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Singapore 308232, Singapore
| | - Guo Xiang Cheam
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore 637551, Singapore
| | - Aik Seng Ng
- Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
| | - Nguan Soon Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Singapore 308232, Singapore
- School of Biological Sciences, Nanyang Technological University Singapore, 60 Nanyang Drive, Singapore 637551, Singapore
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Perdomo CM, Núñez-Córdoba JM, Ezponda A, Mendoza FJ, Ampuero J, Bastarrika G, Frühbeck G, Escalada J. Cardiometabolic characterization in metabolic dysfunction–associated fatty liver disease. Front Med (Lausanne) 2022; 9:1023583. [PMID: 36341262 PMCID: PMC9632176 DOI: 10.3389/fmed.2022.1023583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/07/2022] [Indexed: 11/16/2022] Open
Abstract
Background To better understand the patient's heterogeneity in fatty liver disease (FLD), metabolic dysfunction–associated fatty liver disease (MAFLD) was proposed by international experts as a new nomenclature for nonalcoholic fatty liver disease (NAFLD). We aimed to evaluate the cardiovascular risk, assessed through coronary artery calcium (CAC) and epicardial adipose tissue (EAT), of patients without FLD and patients with FLD and its different subtypes. Methods Cross sectional study of 370 patients. Patients with FLD were divided into 4 groups: FLD without metabolic dysfunction (non-MD FLD), MAFLD and the presence of overweight/obesity (MAFLD-OW), MAFLD and the presence of two metabolic abnormalities (MAFLD-MD) and MAFLD and the presence of T2D (MAFLD-T2D). MAFLD-OW included two subgroups: metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). The patients without FLD were divided into 2 groups: patients without FLD and without MD (non-FLD nor MD; reference group) and patients without FLD but with MD (non-FLD with MD). EAT and CAC (measured through the Agatston Score) were determined by computed tomography. Results Compared with the reference group (non-FLD nor MD), regarding EAT, patients with MAFLD-T2D and MAFLD-MUHO had the highest risk for CVD (OR 15.87, 95% CI 4.26-59.12 and OR 17.60, 95% CI 6.71-46.20, respectively), patients with MAFLD-MHO were also at risk for CVD (OR 3.62, 95% CI 1.83-7.16), and patients with non-MD FLD did not have a significantly increased risk (OR 1.77; 95% CI 0.67-4.73). Regarding CAC, patients with MAFLD-T2D had an increased risk for CVD (OR 6.56, 95% CI 2.18-19.76). Patients with MAFLD-MUHO, MAFLD-MHO and non-MD FLD did not have a significantly increased risk compared with the reference group (OR 2.54, 95% CI 0.90-7.13; OR 1.84, 95% CI 0.67-5.00 and OR 2.11, 95% CI 0.46-9.74, respectively). Conclusion MAFLD–T2D and MAFLD–OW phenotypes had a significant risk for CVD. MAFLD new criteria reinforced the importance of identifying metabolic phenotypes in populations as it may help to identify patients with higher CVD risk and offer a personalized therapeutic management in a primary prevention setting.
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Affiliation(s)
- Carolina M. Perdomo
- Department of Endocrinology and Nutrition, Clínica Universidad de Navarra, Pamplona, Spain
- *Correspondence: Carolina M. Perdomo
| | - Jorge M. Núñez-Córdoba
- Research Support Service, Central Clinical Trials Unit, Clínica Universidad de Navarra, Pamplona, Spain
| | - Ana Ezponda
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | | | - Javier Ampuero
- Department of Gastroenterology, Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla, Universidad de Sevilla, Sevilla, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain
| | - Gorka Bastarrika
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Gema Frühbeck
- Department of Endocrinology and Nutrition, Clínica Universidad de Navarra, Pamplona, Spain
- IdiSNA (Instituto de Investigación en la Salud de Navarra), Pamplona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Escalada
- Department of Endocrinology and Nutrition, Clínica Universidad de Navarra, Pamplona, Spain
- IdiSNA (Instituto de Investigación en la Salud de Navarra), Pamplona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Eslam M, El-Serag HB, Francque S, Sarin SK, Wei L, Bugianesi E, George J. Metabolic (dysfunction)-associated fatty liver disease in individuals of normal weight. Nat Rev Gastroenterol Hepatol 2022; 19:638-651. [PMID: 35710982 DOI: 10.1038/s41575-022-00635-5] [Citation(s) in RCA: 132] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/13/2022] [Indexed: 12/12/2022]
Abstract
Metabolic (dysfunction)-associated fatty liver disease (MAFLD) affects up to a third of the global population; its burden has grown in parallel with rising rates of type 2 diabetes mellitus and obesity. MAFLD increases the risk of end-stage liver disease, hepatocellular carcinoma, death and liver transplantation and has extrahepatic consequences, including cardiometabolic disease and cancers. Although typically associated with obesity, there is accumulating evidence that not all people with overweight or obesity develop fatty liver disease. On the other hand, a considerable proportion of patients with MAFLD are of normal weight, indicating the importance of metabolic health in the pathogenesis of the disease regardless of body mass index. The clinical profile, natural history and pathophysiology of patients with so-called lean MAFLD are not well characterized. In this Review, we provide epidemiological data on this group of patients and consider overall metabolic health and metabolic adaptation as a framework to best explain the pathogenesis of MAFLD and its heterogeneity in individuals of normal weight and in those who are above normal weight. This framework provides a conceptual schema for interrogating the MAFLD phenotype in individuals of normal weight that can translate to novel approaches for diagnosis and patient care.
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Affiliation(s)
- Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, New South Wales, Australia.
| | - Hashem B El-Serag
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Sven Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium
- Laboratory of Experimental Medicine and Paediatrics (LEMP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Shiv K Sarin
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Lai Wei
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Elisabetta Bugianesi
- Department of Medical Sciences, Division of Gastroenterology and Hepatology, A.O. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, New South Wales, Australia.
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A new risk stratification strategy for fatty liver disease by incorporating MAFLD and fibrosis score in a large US population. Hepatol Int 2022; 16:835-845. [PMID: 35701716 DOI: 10.1007/s12072-022-10362-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/08/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD) is a newly proposed definition of fatty liver disease (FLD) independent of excessive alcohol consumption (EAC) and hepatitis viral infection. Evidence on the mortality risk in different types of FLD [nonalcoholic FLD (NAFLD), alcoholic FLD (AFLD), and MAFLD] is sparse, hindering the identification of high-risk populations for preferential clinical surveillance. METHODS A total of 11,000 participants in the Third National Health and Nutrition Examination Survey were enrolled. Participants were categorized into three groups [FLD( - ), MAFLD( - ), and MAFLD( +)] according to FLD and MAFLD criteria, and further categorized into six groups by EAC. Multivariate Cox proportional hazard model was used to estimate the risk of all-cause, cardiovascular-related, and cancer-related mortality. RESULTS During a median follow-up of 23.2 years, a total of 3240 deaths were identified. Compared with FLD( - )/EAC( - ) participants, MAFLD( +) individuals had higher all-cause mortality risk [hazard ratio (HR) = 1.28, 95% confidence interval (CI) = 1.18-1.39] regardless of EAC status [MAFLD( +)/NAFLD: HR = 1.22, 95%CI = 1.11-1.34; MAFLD( +)/AFLD: HR = 1.83, 95%CI = 1.46-2.28], while not for MAFLD( - ) individuals. Furthermore, diabetes-driven-MAFLD had higher mortality risk (HR = 2.00, 95%CI = 1.77-2.27) followed by metabolic dysregulation-driven-MAFLD (HR = 1.30, 95%CI = 1.06-1.60) and overweight/obesity-driven-MAFLD (HR = 1.11, 95%CI = 1.00-1.22). Additionally, MAFLD( - ) participants with elevated fibrosis score were also associated with statistically significantly higher mortality risk (HR = 3.23, 95%CI = 1.63-6.40). CONCLUSIONS Utilizing a representative sample of the US population, we proved the validity of MAFLD subtype and fibrosis score, rather than the traditional definition (NAFLD and AFLD), in the risk stratification of FLD patients. These findings may be applied to guide the determination of surveillance options for FLD patients.
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Prognostically Distinct Phenotypes of Metabolic Health Beyond Obesity in Aortic Stenosis. Am J Cardiol 2022; 178:112-118. [DOI: 10.1016/j.amjcard.2022.05.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/12/2022] [Accepted: 05/16/2022] [Indexed: 11/23/2022]
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Chew NW, Kong G, Venisha S, Chin YH, Ng CH, Lin C, Muthiah M, Khoo CM, Chai P, Kong W, Poh KK, Foo R, Yeo TC, Chan MY, Loh PH. Long-term Prognosis of Acute Myocardial Infarction Associated with Metabolic Health and Obesity Status. Endocr Pract 2022; 28:802-810. [PMID: 35654337 DOI: 10.1016/j.eprac.2022.05.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/21/2022] [Accepted: 05/23/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Emerging evidence supports the favourable cardiovascular health in non-obese subjects with healthy metabolism. However, little is known regarding the prognosis across the range of metabolic phenotypes once cardiovascular disease is established. We examined the prognosis of patients with acute myocardial infarction (AMI) stratified according to metabolic health and obesity status. METHODS This is a retrospective study on consecutive patients with AMI admitted to a tertiary hospital between 2014-2021. Patients were allocated into 4 groups based on metabolic and obesity profile: metabolically healthy obese (MHO), metabolically healthy non-obese (MHNO), metabolically unhealthy obese (MUO) and metabolically unhealthy non-obese (MUNO). Metabolic health was defined in accordance to the BioSHARE-EU Healthy Obese Project. The primary outcome was all-cause mortality. Cox regression analysis examined the independent association between mortality and metabolic phenotypes, adjusting for age, sex, AMI type, chronic kidney disease, smoking status and left ventricular ejection fraction. RESULTS Of 9958 patients, the majority (68.5%) were MUNO, followed by MUO (25.1%), MHNO (5.6%), and MHO (0.8%). MHO had the lowest mortality (7.4%), followed by MHNO (9.7%), MUO (19.2%) and MUNO (22.6%) (p<0.001). Compared to MHNO, MUO (HR 1.737, 95%CI 1.282-2.355, p<0.001) and MUNO (HR 1.482, 95%CI 1.108-1.981, p=0.008) had significantly higher mortality risk, but not MHO (HR 1.390, 95%CI 0.594-3.251, p=0.447), after adjusting for confounders. Kaplan-Meier curves showed favourable survival in the metabolically healthy and obesity groups, with the highest overall survival in the MHO followed by MHNO, MUO and MUNO (p<0.001). CONCLUSION Metabolically healthy and obese AMI patients have favourable prognosis compared to metabolically unhealthy and non-obese patients. It is equally important to prioritize intensive metabolic risk factor management to weight reduction in the early phase after AMI.
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Affiliation(s)
- Nicholas Ws Chew
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore.
| | - Gwyneth Kong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - S Venisha
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chaoxing Lin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Chin Meng Khoo
- Division of Endocrinology, Department of Medicine, National University Hospital, Singapore
| | - Ping Chai
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - William Kong
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kian-Keong Poh
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Roger Foo
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tiong-Cheng Yeo
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mark Y Chan
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Poay Huan Loh
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Boulouta A, Aggeletopoulou I, Kanaloupitis S, Tsounis EP, Issaris V, Papantoniou K, Apostolos A, Tsaplaris P, Pastras P, Sotiropoulos C, Tsintoni A, Diamantopoulou G, Thomopoulos K, Michalaki M, Triantos C. The impact of metabolic health on non-alcoholic fatty liver disease (NAFLD). A single center experience. Clin Res Hepatol Gastroenterol 2022; 46:101896. [PMID: 35227957 DOI: 10.1016/j.clinre.2022.101896] [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: 08/19/2021] [Revised: 12/24/2021] [Accepted: 02/14/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND The role of patients' metabolic clinical and biochemical profile in NAFLD has not been extensively explored. AIMS The aim of the study was to assess the role of metabolic health in NAFLD patients and to examine liver disease progression in these populations. METHODS The medical charts of 569 patients diagnosed with fatty liver were thoroughly reviewed; 344 patients were excluded because of other chronic liver diseases. Metabolically healthy people were defined as those who met none of the following criteria: blood pressure ≥ 130/85 mmHg or under hypertension treatment, fasting glucose ≥ 100 mg/dl or under diabetes treatment, serum triglycerides > 150 mg/dl, high density lipoprotein-cholesterol <40/50 mg/dl for men/women. Study participants were followed-up over a median period of 22 months. RESULTS The present observational case-control study included 225 NAFLD patients; 14 (6.2%) were metabolically healthy. Metabolically healthy participants were younger (p = 0.006), had lower age at diagnosis (p = 0.002), lower levels of γ-GT (p = 0.013), fasting glucose (p <0.001) and triglycerides (p <0.001) and higher HDL-cholesterol (p = 0.005) compared to metabolically non-healthy. By the last follow up assessment, 8 metabolically healthy patients had developed dyslipidemia; 1 patient (14.4%) had presented liver disease progression compared to 8 patients (10.5%) from the unhealthy group (p = 0.567). In multivariate analysis, diabetes mellitus (p = 0.017) and hemoglobin levels (p = 0.009) were the sole independent predictors of disease progression. No significant difference was observed in liver disease progression-free survival rates among the two patient groups (p = 0.503). CONCLUSIONS Metabolically healthy NAFLD patients presented with a favorable biochemical profile; however, they were diagnosed with NAFLD at a younger age and the liver disease progression risk was similar to that of metabolically unhealthy patients. These findings suggest that metabolically healthy NAFLD may not constitute a benign condition and patients could potentially be at increased risk of metabolic syndrome and liver disease progression.
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Affiliation(s)
- Anna Boulouta
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Ioanna Aggeletopoulou
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Stavros Kanaloupitis
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Efthymios P Tsounis
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Vasileios Issaris
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Konstantinos Papantoniou
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Anastasios Apostolos
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Paraskevas Tsaplaris
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Ploutarchos Pastras
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Christos Sotiropoulos
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Aggeliki Tsintoni
- Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Georgia Diamantopoulou
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Konstantinos Thomopoulos
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece
| | - Marina Michalaki
- Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Internal Medicine, University of Patras, Patras 26504, Greece
| | - Christos Triantos
- Division of Gastroenterology, Department of Internal Medicine, University Hospital of Patras, Patras 26504, Greece.
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General Overview About the Current Management of Nonalcoholic Fatty Liver Disease. Clin Drug Investig 2022; 42:39-45. [PMID: 35467297 PMCID: PMC9205790 DOI: 10.1007/s40261-022-01142-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2022] [Indexed: 02/07/2023]
Abstract
Nonalcoholic fatty liver disease includes a wide spectrum of manifestations from simple steatosis to nonalcoholic steatohepatitis, fibrosis, and eventually cirrhosis or even hepatocellular carcinoma. This disorder is also associated with an increased cardiovascular risk, renal involvement, oncologic processes, metabolic disturbances, and an increased risk of all-cause mortality or hepatic mortality. For this reason, nonalcoholic fatty liver disease should be considered a disorder with high morbidity and mortality that must be diagnosed appropriately as soon as possible to establish adequate treatment. Noninvasive methods based on biochemical parameters should be used as a first step in the evaluation of any patient in whom this disease is suspected. However, serum/blood levels of liver enzymes are not a good indicator of liver damage and noninvasive methods, including biochemical tests and imaging, have suboptimal accuracy or are patented prototypes that show limitations in clinical practice. There are currently no drugs specifically approved for the treatment of these liver disorders, thus the most relevant intervention for nonalcoholic fatty liver disease is lifestyle modification.
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Di Ciaula A, Bonfrate L, Krawczyk M, Frühbeck G, Portincasa P. Synergistic and Detrimental Effects of Alcohol Intake on Progression of Liver Steatosis. Int J Mol Sci 2022; 23:2636. [PMID: 35269779 PMCID: PMC8910376 DOI: 10.3390/ijms23052636] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 02/07/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) and alcoholic liver disease (ALD) are the most common liver disorders worldwide and the major causes of non-viral liver cirrhosis in the general population. In NAFLD, metabolic abnormalities, obesity, and metabolic syndrome are the driving factors for liver damage with no or minimal alcohol consumption. ALD refers to liver damage caused by excess alcohol intake in individuals drinking more than 5 to 10 daily units for years. Although NAFLD and ALD are nosologically considered two distinct entities, they show a continuum and exert synergistic effects on the progression toward liver cirrhosis. The current view is that low alcohol use might also increase the risk of advanced clinical liver disease in NAFLD, whereas metabolic factors increase the risk of cirrhosis among alcohol risk drinkers. Therefore, special interest is now addressed to individuals with metabolic abnormalities who consume small amounts of alcohol or who binge drink, for the role of light-to-moderate alcohol use in fibrosis progression and clinical severity of the liver disease. Evidence shows that in the presence of NAFLD, there is no liver-safe limit of alcohol intake. We discuss the epidemiological and clinical features of NAFLD/ALD, aspects of alcohol metabolism, and mechanisms of damage concerning steatosis, fibrosis, cumulative effects, and deleterious consequences which include hepatocellular carcinoma.
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Affiliation(s)
- Agostino Di Ciaula
- Clinica Medica “Augusto Murri”, Department of Biomedical Sciences and Human Oncology, University of Bari Medical School—Piazza Giulio Cesare 11, 70124 Bari, Italy; (A.D.C.); (L.B.)
| | - Leonilde Bonfrate
- Clinica Medica “Augusto Murri”, Department of Biomedical Sciences and Human Oncology, University of Bari Medical School—Piazza Giulio Cesare 11, 70124 Bari, Italy; (A.D.C.); (L.B.)
| | - Marcin Krawczyk
- Department of Medicine II Saarland University Medical Center, Saarland University, 66424 Homburg, Germany;
- Laboratory of Metabolic Liver Diseases, Department of General, Transplant and Liver Surgery, Centre for Preclinical Research, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Gema Frühbeck
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, 31008 Pamplona, Spain;
- Metabolic Research Laboratory, Clínica Universidad de Navarra, 31008 Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, 31009 Pamplona, Spain
- Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31009 Pamplona, Spain
| | - Piero Portincasa
- Clinica Medica “Augusto Murri”, Department of Biomedical Sciences and Human Oncology, University of Bari Medical School—Piazza Giulio Cesare 11, 70124 Bari, Italy; (A.D.C.); (L.B.)
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39
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Wu X, Wang Y, Jia Y, Liu J, Wang G. Risk Factors for Nonalcoholic Fatty Liver Disease with Different Insulin Resistance in a Nonobese Chinese Population. J Diabetes Res 2022; 2022:9060405. [PMID: 36568964 PMCID: PMC9771661 DOI: 10.1155/2022/9060405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/25/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
PURPOSES The aim of this study is to identify the risk factors of nonobese nonalcoholic fatty liver disease (NAFLD) individuals under different insulin resistance status. METHODS This cross-sectional study was conducted at the Medical Center of Beijing Chaoyang Hospital affiliated with Capital Medical University. NAFLD was diagnosed based upon ultrasonographic findings consistent with fatty liver disease. RESULTS A total of 1257 nonobese adults (625 non-NAFLD and 632 nonobese NAFLD) with body mass index (BMI) 18.5-24.9 kg/m2 were enrolled in the study. And all patients were divided into homeostasis model assessment of insulin resistance (HOMA - IR) > 1 group and HOMA - IR ≤ 1 group. When all the variables were adjusted in both the HOMA - IR > 1 group and HOMA - IR ≤ 1 group, older age (>50 years), higher BMI (23.0-24.9 kg/m2), higher AST (>18 U/L), higher TG (>0.9 mmol/L), higher GLU (>5.25 mmol/L), and higher HbA1C (>5.5%) were associated with higher risks of nonobese NAFLD. In patients with HOMA - IR > 1, lower homeostatic model assessment of β-cell function (HOMA-β) (<47.1%) (OR, 7.460, 95% CI, 3.051-18.238, P < 0.001) was associated with higher risks of nonobese NAFLD. CONCLUSION s. Metabolic profiles (i.e., higher BMI, hyperglycemia, hypertriglyceridemia, and higher glycosylated hemoglobin) are risk factors of nonobese NAFLD, regardless of insulin resistance status. Decreased function of pancreatic β-cells may be the risk factor of nonobese NAFLD with insulin resistance, who should pay attention to further development of pancreatic β-cell dysfunction.
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Affiliation(s)
- Xiaojuan Wu
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing 100020, China
| | - Ying Wang
- Department of Medical Center, Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing 100020, China
| | - Yumei Jia
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing 100020, China
| | - Jia Liu
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing 100020, China
| | - Guang Wang
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing 100020, China
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40
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Lin J, Li H, Wan Q. A Cross-Sectional Study of the Correlation Between the Atherogenic Index of Plasma and Nonalcoholic Fatty Liver Disease in Patients with Type 2 Diabetes. Diabetes Metab Syndr Obes 2022; 15:2227-2234. [PMID: 35936051 PMCID: PMC9348630 DOI: 10.2147/dmso.s375300] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/18/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE The main objective of this study was to examine the possible association between the atherogenic index of plasma (AIP) and the prevalence of nonalcoholic fatty liver disease (NAFLD) in Chinese individuals with type 2 diabetes mellitus (T2DM). PATIENTS AND METHODS In this survey, data from 1074 patients with T2DM were retrospectively extracted. The correlations between each variable and NAFLD were determined by univariate analysis, and then, the statistically significant variables were evaluated for their association with AIP and NAFLD by multivariate regression analysis. RESULTS AIP levels were significantly higher in all males and females with NAFLD than those without NAFLD (p<0.001). The prevalence of NAFLD increased progressively throughout the AIP quartiles (trend P < 0.001) and accounted for possible variables in Model 3 of the multivariate logistic regression analysis (OR: 2244.984). In terms of sensitivity and specificity, the AIP index was found to be 65.0% and 90.1% accurate, respectively, with a 95% CI of 0.804-0.893. According to a stratified analysis, females, patients over the age of 56 and current nonsmokers were found to have a higher chance of developing NAFLD. CONCLUSION T2DM individuals with NAFLD were found to have a higher AIP index than those without NAFLD. The prevalence and progression of NAFLD in T2DM patients may be influenced by the AIP index.
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Affiliation(s)
- Jie Lin
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
| | - Hang Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
| | - Qin Wan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China
- Correspondence: Qin Wan, Tel +86 138 8274 6971, Email
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41
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Hu PF, Zeng X, Zou ZY, Tang W, Guo YB, Yuan ZL, Shi PM, Tan Y, Song Y, Shi YQ, Xie WF. The presence of NAFLD in nonobese subjects increased the risk of metabolic abnormalities than obese subjects without NAFLD: a population-based cross-sectional study. Hepatobiliary Surg Nutr 2021; 10:811-824. [PMID: 35004947 DOI: 10.21037/hbsn-20-263] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 03/18/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND With lifestyle modification and over-nutrition, the prevalence of nonalcoholic fatty liver disease (NAFLD) has been increasing annually. Here we aimed to assess the updated prevalence of NAFLD, and to evaluate the association of NAFLD with metabolic abnormalities according to gender, body mass index and age. METHODS A population-based cross-sectional study was conducted in Shanghai from December 2016 to July 2017. With a three-stage stratified sampling strategy, 3,717 eligible participants were enrolled for the analysis. RESULTS In total, 1,217 subjects (32.7%) had NAFLD. Among them, 400 (16.3%) of the nonobese and 817 (65.0%) of the obese subjects had NAFLD. The prevalence of NAFLD was increased according to the quartiles of age and waist circumference (WC) in the nonobese subjects. Females with nonobese NAFLD had 1.6-, 2.6-, 2.0-, 2.3- and 3.3-fold higher risks for metabolic syndrome, diabetes mellitus, hyperglycemia, hypertriglycerdemia (high TG) and low high-density lipoprotein cholesterol than obese subjects without NAFLD, respectively. Males had comparable metabolic profiles in both groups, except for a 2.0-fold higher risk of high TG in nonobese NAFLD subjects compared with obese subjects without NAFLD. More impressively, the homeostasis metabolic assessment insulin resistance index was comparable between the two groups. CONCLUSIONS The increase of age and WC had significant impact on the risk of NAFLD in nonobese subjects. The presence of NAFLD in nonobese subjects increased the risk of metabolic diseases than obese subjects without NAFLD, especially in female.
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Affiliation(s)
- Ping-Fang Hu
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Xin Zeng
- Department of Gastroenterology, East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zi-Yuan Zou
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China.,The First Clinical School, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wei Tang
- Department of Endocrinology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Yi-Bin Guo
- Department of Health Statistics, Second Military Medical University, Shanghai, China
| | - Zong-Li Yuan
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Pei-Mei Shi
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Yu Tan
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Yan Song
- Department of Endocrinology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Yong-Quan Shi
- Department of Endocrinology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Wei-Fen Xie
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
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42
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Tutunchi H, Naeini F, Ebrahimi-Mameghani M, Najafipour F, Mobasseri M, Ostadrahimi A. Metabolically healthy and unhealthy obesity and the progression of liver fibrosis: A cross-sectional study. Clin Res Hepatol Gastroenterol 2021; 45:101754. [PMID: 34303827 DOI: 10.1016/j.clinre.2021.101754] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND The development of liver fibrosis is the most important predictor of adverse outcomes in patients with non-alcoholic fatty liver disease (NAFLD). Little is known regarding the risk factors for the progression of NAFLD to liver fibrosis. The present cross-sectional study aimed to examine the association of liver fibrosis with metabolically healthy and unhealthy obesity among patients with NAFLD. METHODS The severity of fatty liver was examined using ultrasonography. We used the NAFLD fibrosis score to determine the severity of liver fibrosis. Anthropometric indices, physical activity, and body composition were assessed. Blood samples were collected to determine serum metabolic parameters. Participants without any component of metabolic syndrome and homeostasis model assessment of insulin resistance (HOMA-IR) <2.5 were considered as metabolically healthy. To examine the association of liver fibrosis with metabolically healthy and unhealthy obesity, multivariable-adjusted odds ratios (ORs) were applied. RESULTS The current study included a total of 246 patients with NAFLD and low probability of fibrosis. 46.3% of subjects were metabolically healthy and 53.7% were metabolically unhealthy. Among metabolically healthy subjects, multivariable-adjusted ORs (CIs) for worsening of NAFLD fibrosis score comparing body mass indexes (BMIs) 23.0-24.9, 25-29.9, and ≥30 with a BMI=18.5-22.9 kg/m2 were 1.28 (1.09-1.56), 1.99 (1.49-2.63), and 3.96 (2.89-4.71), respectively. The corresponding ORs (95% CIs) among metabolically unhealthy subjects were 1.39 (1.32-1.64), 2.27 (1.98-2.49), and 4.11 (3.12-4.93), respectively. Moreover, in both healthy and unhealthy individuals, higher percentages of body fat and waist circumference were significantly associated with worsening of NAFLD fibrosis score. CONCLUSION Excess body fat contributes to the progression of liver fibrosis regardless of metabolic health status.
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Affiliation(s)
- Helda Tutunchi
- Nutrition Research Center, Department of Clinical Nutrition, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fatemeh Naeini
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran university of medical science, Tehran, Iran
| | - Mehrangiz Ebrahimi-Mameghani
- Social Determinant of Health Research Center, School of Nutrition & Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farzad Najafipour
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Majid Mobasseri
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Alireza Ostadrahimi
- Nutrition Research Center, Department of Clinical Nutrition, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
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43
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Cai X, Rospleszcz S, Mensel B, Schminke U, Kühn JP, Aghdassi AA, Storz C, Lorbeer R, Schlett CL, Rathmann W, Roden M, Hohenester S, Bülow R, Bamberg F, Peters A, Thorand B, Völzke H, Nano J. Association between hepatic fat and subclinical vascular disease burden in the general population. BMJ Open Gastroenterol 2021; 8:bmjgast-2021-000709. [PMID: 34593525 PMCID: PMC8487174 DOI: 10.1136/bmjgast-2021-000709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 07/27/2021] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE It is still controversial if increased hepatic fat independently contributes to cardiovascular risk. We aimed to assess the association between hepatic fat quantified by MRI and various subclinical vascular disease parameters. DESIGN We included two cross-sectional investigations embedded in two independent population-based studies (Study of Health in Pomerania (SHIP): n=1341; Cooperative Health Research in the Region of Augsburg (KORA): n=386). The participants underwent a whole-body MRI examination. Hepatic fat content was quantified by proton-density fat fraction (PDFF). Aortic diameters in both studies and carotid plaque-related parameters in KORA were measured with MRI. In SHIP, carotid intima-media thickness (cIMT) and plaque were assessed by ultrasound. We used (ordered) logistic or linear regression to assess associations between hepatic fat and subclinical vascular disease. RESULTS The prevalence of fatty liver disease (FLD) (PDFF >5.6%) was 35% in SHIP and 43% in KORA. In SHIP, hepatic fat was positively associated with ascending (β, 95% CI 0.06 (0.04 to 0.08)), descending (0.05 (0.04 to 0.07)) and infrarenal (0.02 (0.01 to 0.03)) aortic diameters, as well as with higher odds of plaque presence (OR, 95% CI 1.22 (1.05 to 1.42)) and greater cIMT (β, 95% CI 0.01 (0.004 to 0.02)) in the age-adjusted and sex-adjusted model. However, further adjustment for additional cardiometabolic risk factors, particularly body mass index, attenuated these associations. In KORA, no significant associations were found. CONCLUSIONS The relation between hepatic fat and subclinical vascular disease was not independent of overall adiposity. Given the close relation of FLD with cardiometabolic risk factors, people with FLD should still be prioritised for cardiovascular disease screening.
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Affiliation(s)
- Xinting Cai
- Institute of Epidemiology, Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany.,Institute for Medical Information Processing, Biometry, and Epidemiology-IBE, Pettenkofer School of Public Health, Ludwig-Maximilians-Universitat Munchen, Munich, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany.,Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology-IBE, Ludwig-Maximilians-Universitat Munchen, Munich, Germany.,German Center for Cardiovascular Disease Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Birger Mensel
- Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany
| | - Ulf Schminke
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Jens-Peter Kühn
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital Carl-Gustav-Carus, Dresden University of Technology, Dresden, Germany
| | | | - Corinna Storz
- Department of Neuroradiology, Faculty of Medicine, Medical Center-University of Freiburg, Freiburg, Germany
| | - Roberto Lorbeer
- Department of Radiology, University Hospital, LMU Munich, Munich, Bayern, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Freiburg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Partner site Düsseldorf, German Center for Diabetes Research, Neuherberg, Germany
| | - Michael Roden
- Partner site Düsseldorf, German Center for Diabetes Research, Neuherberg, Germany.,Department of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute for Clinical Diabetology, German Diabetes Center, German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Simon Hohenester
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Freiburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Cardiovascular Disease Research (DZHK), partner site Munich Heart Alliance, Munich, Germany.,Institute for Medical Information Processing, Biometry, and Epidemiology-IBE, Ludwig Maximilians University Munich, Munich, Germany.,Partner site Munich-Neuherberg, German Center for Diabetes Research, Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany.,Partner site Munich-Neuherberg, German Center for Diabetes Research, Neuherberg, Germany
| | - Henry Völzke
- Institute for Community Medicine, SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.,Partner site Greifswald, German Center for Cardiovascular Disease Research, Greifswald, Germany
| | - Jana Nano
- Institute of Epidemiology, Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany .,Partner site Munich-Neuherberg, German Center for Diabetes Research, Neuherberg, Germany
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Arvind A, Henson JB, Osganian SA, Nath C, Steinhagen LM, Memel ZN, Donovan A, Balogun O, Chung RT, Simon TG, Corey KE. Risk of Cardiovascular Disease in Individuals With Nonobese Nonalcoholic Fatty Liver Disease. Hepatol Commun 2021; 6:309-319. [PMID: 34558862 PMCID: PMC8793991 DOI: 10.1002/hep4.1818] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 08/05/2021] [Accepted: 08/09/2021] [Indexed: 11/11/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is independently associated with obesity and cardiovascular disease (CVD). CVD is the primary cause of mortality in the predominantly obese population of adults with NAFLD. NAFLD is increasingly seen in individuals who are lean and overweight (i.e., nonobese), but it is unclear whether their risk of CVD is comparable to those with NAFLD and obesity. Using a prospective cohort of patients with NAFLD, we compared the prevalence and incidence of CVD in individuals with and without obesity. NAFLD was diagnosed by biopsy or imaging after excluding other chronic liver disease etiologies. Logistic regression was used to compare the odds of baseline CVD by obesity status. Cox proportional hazards regression was used to evaluate obesity as a predictor of incident CVD and to identify predictors of CVD in subjects with and without obesity. At baseline, adults with obesity had a higher prevalence of CVD compared to those without obesity (12.0% vs. 5.0%, P = 0.02). During follow-up, however, obesity did not predict incident CVD (hazard ratio [HR], 1.24; 95% confidence interval [CI], 0.69-2.22) or other metabolic diseases. Findings were consistent when considering body mass index as a continuous variable and after excluding subjects who were overweight. Age (adjusted HR [aHR], 1.05; 95% CI, 1.03-1.08), smoking (aHR, 4.61; 95% CI, 1.89-11.22), and decreased low-density lipoprotein levels (aHR, 0.98; 95% CI, 0.96-1.00) independently predicted incident CVD in the entire cohort, in subjects with obesity, and in those without obesity, respectively. Conclusion: Individuals with overweight or lean NAFLD are not protected from incident CVD compared to those with NAFLD and obesity, although CVD predictors appear to vary between these groups. Patients without obesity also should undergo rigorous risk stratification and treatment.
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Affiliation(s)
- Ashwini Arvind
- Harvard Medical School, Boston, MA, USA.,Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA
| | - Jacqueline B Henson
- Harvard Medical School, Boston, MA, USA.,Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Stephanie A Osganian
- Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA
| | - Cheryl Nath
- Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA
| | - Lara M Steinhagen
- Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA
| | - Zoe N Memel
- Harvard Medical School, Boston, MA, USA.,Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Arley Donovan
- Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA
| | - Oluwafemi Balogun
- Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA
| | - Raymond T Chung
- Harvard Medical School, Boston, MA, USA.,Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA.,Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Tracey G Simon
- Harvard Medical School, Boston, MA, USA.,Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA.,Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Kathleen E Corey
- Harvard Medical School, Boston, MA, USA.,Liver Center and Gastrointestinal Division, Massachusetts General Hospital, Boston, MA, USA.,Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
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45
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Ampuero J, Aller R, Gallego-Durán R, Crespo J, Abad J, González-Rodríguez Á, Gómez-Camarero J, Caballería J, Lo Iacono O, Ibañez L, García-Samaniego J, Martín-Mateos R, Francés R, Fernández-Rodríguez C, Diago M, Soriano G, Andrade RJ, Latorre R, Jorquera F, Morillas RM, Escudero D, Estévez P, Hernández-Guerra M, Augustín S, Pareja-Megia MJ, Banales JM, Aspichueta P, Benlloch S, Rosales JM, Salmerón J, Turnes J, Romero-Gómez M. Definite and indeterminate nonalcoholic steatohepatitis share similar clinical features and prognosis: A longitudinal study of 1893 biopsy-proven nonalcoholic fatty liver disease subjects. Liver Int 2021; 41:2076-2086. [PMID: 33896100 DOI: 10.1111/liv.14898] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 04/01/2021] [Accepted: 04/06/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIM Histological score systems may not fully capture the essential nonalcoholic steatohepatitis (NASH) features, which is one of the leading causes of screening failure in clinical trials. We assessed the NASH distribution and its components across the fibrosis stages and their impact on the prognosis and their relationship with the concept of metabolic-associated fatty liver disease (MAFLD). METHODS Spanish multicenter study including 1893 biopsy-proven nonalcoholic fatty liver disease (NAFLD) patients from HEPAmet registry. NASH was diagnosed by NAS score ≥4 (including steatosis, ballooning and lobular inflammation) and fibrosis by Kleiner score. The presence of MAFLD was determined. Progression to cirrhosis, first episode of decompensated cirrhosis and death were collected during the follow-up (4.7 ± 3.8 years). RESULTS Fibrosis was F0 34.3% (649/1893), F1 27% (511/1893), F2 16.5% (312/1893), F3 15% (284/1893) and F4 7.2% (137/1893). NASH diagnosis 51.9% (982/1893), and its individual components (severe steatosis, ballooning and lobular inflammation), increased from F0 (33.6%) to F2 (68.6%), and decreased significantly in F4 patients (51.8%) (P = .0001). More than 70% of non-NASH patients showed some inflammatory activity (ballooning or lobular inflammation), showing a similar MAFLD rate than NASH (96.2% [945/982] vs. 95.2% [535/562]) and significantly higher than nonalcoholic fatty liver (NAFL) subjects (89.1% [311/349]) (P < .0001). Progression to cirrhosis was similar between NASH (9.5% [51/539]) and indeterminate NASH (7.9% [25/316]), and higher than steatosis (5% [14/263]) (logRank 8.417; P = .015). Death and decompensated cirrhosis were similar between these. CONCLUSIONS The prevalence of steatohepatitis decreased in advanced liver disease. However, most of these patients showed some inflammatory activity histologically and had metabolic disturbances. These findings should be considered in clinical trials whose main aim is to prevent cirrhosis progression and complications, liver transplant and death.
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Affiliation(s)
- Javier Ampuero
- Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Seville, Spain
- SeLiver Group, Instituto de Biomedicina de Sevilla, Seville, Spain
- CIBERehd, Madrid, Spain
| | - Rocío Aller
- Centro de Investigación de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Universidad de Valladolid, Valladolid, Spain
| | - Rocío Gallego-Durán
- SeLiver Group, Instituto de Biomedicina de Sevilla, Seville, Spain
- CIBERehd, Madrid, Spain
| | - Javier Crespo
- Digestive Department, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Javier Abad
- Digestive Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Águeda González-Rodríguez
- Liver Research Unit, Hospital Universitario Santa Cristina Instituto de Investigación Sanitaria Princesa, Madrid, Spain
| | | | - Joan Caballería
- CIBERehd, Madrid, Spain
- Liver Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBPAS), Barcelona, Spain
| | - Oreste Lo Iacono
- Digestive Department, Hospital Universitario Tajo, Aranjuez, Spain
| | - Luis Ibañez
- CIBERehd, Madrid, Spain
- Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | | | - Rosa Martín-Mateos
- CIBERehd, Madrid, Spain
- Digestive Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | - Rubén Francés
- CIBERehd, Madrid, Spain
- Hospital General Universitario de Alicante, Universidad Miguel Hernández, Elche, Spain
| | | | - Moisés Diago
- Digestive Department, Hospital General Universitario de Valencia, Valencia, Spain
| | - Germán Soriano
- CIBERehd, Madrid, Spain
- Digestive Department, Hospital de la Santa Creu i San Pau, Barcelona, Spain
| | - Raúl J Andrade
- CIBERehd, Madrid, Spain
- Unidad de Gestión Clínica de Enfermedades Digestivas, Instituto de Investigación Biomédica de Málaga-IBIMA, Hospital Universitario Virgen de la Victoria, Universidad de Málaga, Málaga, Spain
| | - Raquel Latorre
- Digestive Department, Hospital Universitari Son Llátzer, Mallorca, Spain
| | - Francisco Jorquera
- CIBERehd, Madrid, Spain
- Servicio de Aparato Digestivo, Complejo Asistencial Universitario de León, IBIOMED, León, Spain
| | - Rosa M Morillas
- CIBERehd, Madrid, Spain
- Digestive Department, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Desam Escudero
- Hospital Clínico Universitario de Valencia, Universitat de València, Valencia, Spain
| | - Pamela Estévez
- Digestive Department, Complejo Hospitalario Universitario de Vigo, Vigo, Spain
| | | | | | | | - Jesús M Banales
- CIBERehd, Madrid, Spain
- Department of Liver and Gastrointestinal Diseases, Biodonostia Research Institute-Donostia University Hospital, University of the Basque Country (UPV/EHU), Ikerbasque, San Sebastian, Spain
| | - Patricia Aspichueta
- CIBERehd, Madrid, Spain
- Department of Physiology, Faculty of Medicine and Nursing, Biocruces Research Institute, University of Basque Country UPV/EHU, Leioa, Spain
| | - Salvador Benlloch
- CIBERehd, Madrid, Spain
- Digestive Department, Hospital Universitari i Politecnic La Fe, Valencia, Spain
| | | | - Javier Salmerón
- Digestive Department, Hospital Universitario San Cecilio, Granada, Spain
| | - Juan Turnes
- Digestive Department, Complejo Hospitalario de Pontevedra, Pontevedra, Spain
| | - Manuel Romero-Gómez
- Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Seville, Spain
- SeLiver Group, Instituto de Biomedicina de Sevilla, Seville, Spain
- CIBERehd, Madrid, Spain
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Goday A, Julià H, de Vargas-Machuca A, Pedro-Botet J, Benavente S, Ramon JM, Pera M, Casajoana A, Villatoro M, Fontané L, Bisbe M, Climent E, Castañer O, Flores Le Roux JA, Benaiges D. Bariatric surgery improves metabolic and nonalcoholic fatty liver disease markers in metabolically healthy patients with morbid obesity at 5 years. Surg Obes Relat Dis 2021; 17:2047-2053. [PMID: 34509375 DOI: 10.1016/j.soard.2021.07.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 07/22/2021] [Accepted: 07/31/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND No studies have evaluated the effect of metabolic and bariatric surgery (MBS) on nonalcoholic fatty liver disease (NAFLD) and cardiometabolic markers in metabolically healthy patients with morbid obesity (MHMO) at midterm. OBJECTIVES To assess the effect of MBS on NAFLD and cardiometabolic markers in MHMO patients and ascertain whether metabolically unhealthy patients with morbid obesity (MUMO) remain metabolically healthy at 5 years after MBS. SETTING University hospital. METHODS A total of 191 patients with a body mass index >40 kg/m2 and at least 5 years of follow-up were retrospectively analyzed. Lost to follow-up were 37.6% (151 of 401 patients). Patients were classified as MHMO if 1 or 0 of the cardiometabolic markers were present using the Wildman criteria. The degree of liver fibrosis was assessed using the NAFLD fibrosis score (NFS). RESULTS Forty-one patients (21.5%) fulfilled the criteria for MHMO. They showed significant improvements in blood pressure (from 135.1 ± 22.1 and 84.2 ± 14.3 mm Hg to 117.7 ± 19.2 and 73.0 ± 10.9 mm Hg), plasma glucose (from 91.0 ± 5.6 mg/dL to 87.2 ± 5.2 mg/dL), homeostatic model assessment for insulin resistance (from 2.2 ± .9 to 1.0 ± .8), triglycerides (from 88.0 [range, 79.5-103.5] mg/dL to 61.0 [range, 2.0-76.5] mg/dL), alanine aminotransferase, gamma-glutamyl transpeptidase NFS (from -1.0 ± 1.0 to -1.9 ± 1.2), and high-density lipoprotein cholesterol (from 56.9 ± 10.5 mg/dL to 77.9 ± 17.4 mg/dL) at 5 years after surgery. A total of 108 MUMO patients (84.4%) who became metabolically healthy after 1 year stayed healthy at 5 years. CONCLUSIONS MBS induced a midterm improvement in cardiometabolic and NAFLD markers in MHMO patients. Seventy-six percent of MUMO patients became metabolically healthy at 5 years after MBS.
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Affiliation(s)
- Alberto Goday
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain; Cardiovascular Risk and Nutrition Research Group (CARIN-ULEC), Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona Biomedical Research Park, Barcelona, Spain; Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain; Centro de Investigaciones Biomédicas en Red de Obesidad y Nutrición, Madrid, Spain
| | - Helena Julià
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain; Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | | | - Juan Pedro-Botet
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain; Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Sergi Benavente
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Jose M Ramon
- Unit of Gastrointestinal Surgery, Hospital del Mar, Institut de Recerca Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | - Manuel Pera
- Unit of Gastrointestinal Surgery, Hospital del Mar, Institut de Recerca Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | - Anna Casajoana
- Unit of Gastrointestinal Surgery, Hospital del Mar, Institut de Recerca Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain
| | | | - Laia Fontané
- Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Maria Bisbe
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Elisenda Climent
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain; Cardiovascular Risk and Nutrition Research Group (CARIN-ULEC), Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona Biomedical Research Park, Barcelona, Spain; Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - Olga Castañer
- Cardiovascular Risk and Nutrition Research Group (CARIN-ULEC), Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona Biomedical Research Park, Barcelona, Spain; Centro de Investigaciones Biomédicas en Red de Obesidad y Nutrición, Madrid, Spain
| | - Juana A Flores Le Roux
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain; Cardiovascular Risk and Nutrition Research Group (CARIN-ULEC), Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona Biomedical Research Park, Barcelona, Spain; Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain
| | - David Benaiges
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain; Cardiovascular Risk and Nutrition Research Group (CARIN-ULEC), Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona Biomedical Research Park, Barcelona, Spain; Department of Endocrinology and Nutrition, Hospital del Mar, Barcelona, Spain; Consorci Sanitari de l'Alt Penedès i Garraf, Vilafranca del Penedès, Spain.
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47
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Khayyat YM. Lean non-alcoholic fatty liver disease and associated metabolic disturbance: A Saudi Arabian cross-sectional study. Physiol Rep 2021; 9:e14949. [PMID: 34278728 PMCID: PMC8287165 DOI: 10.14814/phy2.14949] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 01/20/2023] Open
Abstract
Non-alcoholic liver disease (NAFLD) is a metabolic liver disease associated with visceral adiposity and insulin resistance. Recently, NAFLD has been described in lean individuals who additionally have impaired metabolic parameters similar to their non-lean counterparts. We aimed to explore this further in Saudi Arabia. From 2016 to 2019, we prospectively studied a group of newly diagnosed NAFLD patients at a tertiary hospital in Saudi Arabia. Patients were classified into three groups: lean (body mass index [BMI] <25), overweight (BMI ≥25 and <30), and obese (BMI ≥30). We made comparisons between these groups on basic clinical, demographic, and laboratory parameters. In total, 1753 patients were recruited and 1262 patients met the inclusion criteria. Altogether, 159 (12.6%), 365 (29%), and 737 (58.4%) patients were in the lean, overweight, and obese categories, respectively. Lean NAFLD patients were, on average, younger than those in the overweight group (mean 49.95 ± 15.3) and had a significantly higher high-density lipoprotein value (HDL) (mean 52.56 ± 16.27). Sex, hyperlipidemia, type 2 diabetes, and hypertension were significantly associated with BMI. Lean NAFLD patients displayed the features of metabolic syndrome including elevated glycosylated hemoglobin and abnormal lipid profile but had higher serum HDL. This is in contrast to the widely held belief that lean individuals have no dysmetabolic changes compared to overweight individuals. Recognition of this problem is essential so that lean NAFLD patients can be screened for metabolic changes and managed appropriately to prevent complications.
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Affiliation(s)
- Yasir Mohammed Khayyat
- Department of MedicineFaculty of MedicineUmm Al Qura UniversityMakkahSaudi Arabia
- Department of MedicineInternational Medical CentreJeddahSaudi Arabia
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48
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Liu CH, Ampuero J, Pavlides M, Wong VWS, Fan JG, Bai L, Li H, Wu DB, Zhou LY, Du LY, Yang TK, Jiang W, Shi Y, Gil-Gómez A, Zhang WT, Liang JX, Romero-Gómez M, Tang H. Simple non-invasive scoring systems and histological scores in predicting mortality in patients with non-alcoholic fatty liver disease: A systematic review and meta-analysis. J Gastroenterol Hepatol 2021; 36:1754-1768. [PMID: 33569851 DOI: 10.1111/jgh.15431] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 12/24/2020] [Accepted: 01/31/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND AND AIM There is debate among the hepatology community regarding the simple non-invasive scoring systems and histological scores (even it was developed for histological classification) in predicting clinical outcomes in patients with non-alcoholic fatty liver disease (NAFLD). This study aimed to determine whether the presence of simple non-invasive scoring systems and histological scores could predict all-cause mortality, liver-related mortality, and liver disease decompensation (liver failure, cirrhosis, hepatocellular carcinoma, or decompensated liver disease). METHODS The pooled hazard ratio of prognostic factors and incidence rate per 1000 person-years in patients with NAFLD was calculated and further adjusted by two different models of handling the duplicated data. RESULTS A total of 19 longitudinal studies were included. Most simple non-invasive scoring systems (Fibrosis-4 Score, BARD, and aspartate aminotransferase-to-platelet ratio index ) and histological scores (NAFLD activity score, Brunt, and "steatosis, activity, and fibrosis" ) failed in predicting mortality, and only the NAFLD fibrosis score > 0.676 showed prognostic ability to all-cause mortality (four studies, 7564 patients, 118 352 person-years followed up, pooled hazard ratio 1.44, 95% confidence interval [CI] 1.05-1.96). The incidence rate per 1000 person-years of all-cause mortality, liver-related mortality, cardiovascular-related mortality, and liver disease decompensation resulted in a pooled incidence rate per 1000 person-years of 22.65 (14 studies, 95% CI 9.62-53.31), 3.19 (7 studies, 95% CI 1.14-8.93), 6.02 (6 studies, 95% CI 4.69-7.74), and 11.46 (4 studies, 95% CI 5.33-24.63), respectively. CONCLUSION Non-alcoholic fatty liver disease fibrosis score showed promising prognostic value to all-cause mortality. Most present simple non-invasive scoring systems and histological scores failed to predict clinical outcomes.
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Affiliation(s)
- Chang-Hai Liu
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Javier Ampuero
- Digestive Diseases Unit, Virgen del Rocío University Hospital, SeLiver Group at Institute of Biomedicine of Seville (IBIS), University of Seville, Seville, Spain
| | - Michael Pavlides
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Jian-Gao Fan
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lang Bai
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Li
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Dong-Bo Wu
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Ling-Yun Zhou
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Ling-Yao Du
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Tian-Kuo Yang
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Jiang
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Ying Shi
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Antonio Gil-Gómez
- Digestive Diseases Unit, Virgen del Rocío University Hospital, SeLiver Group at Institute of Biomedicine of Seville (IBIS), University of Seville, Seville, Spain
| | - Wen-Ting Zhang
- Digestive Diseases Unit, Virgen del Rocío University Hospital, SeLiver Group at Institute of Biomedicine of Seville (IBIS), University of Seville, Seville, Spain
| | - Jia-Xu Liang
- Digestive Diseases Unit, Virgen del Rocío University Hospital, SeLiver Group at Institute of Biomedicine of Seville (IBIS), University of Seville, Seville, Spain
| | - Manuel Romero-Gómez
- Digestive Diseases Unit, Virgen del Rocío University Hospital, SeLiver Group at Institute of Biomedicine of Seville (IBIS), University of Seville, Seville, Spain
| | - Hong Tang
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
- Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
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Llop E, Iruzubieta P, Perelló C, Fernández Carrillo C, Cabezas J, Escudero MD, González M, Hernández Conde M, Puchades L, Arias-Loste MT, Serra MÁ, Crespo J, Calleja JL. High liver stiffness values by transient elastography related to metabolic syndrome and harmful alcohol use in a large Spanish cohort. United European Gastroenterol J 2021; 9:892-902. [PMID: 34077628 PMCID: PMC8498397 DOI: 10.1002/ueg2.12109] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 05/03/2021] [Indexed: 12/31/2022] Open
Abstract
Background and Aims Transient elastography (TE) to estimate liver stiffness has proved to be very useful in the diagnosis of chronic liver disease. Here, we intend to evaluate its use in a large Spanish cohort. Method Nested study within the PREVHEP‐ETHON (Epidemiological sTudy of Hepatic infectiONs; NCT02749864) population‐based, cross‐sectional study performed between July 2015 and April 2017. An epidemiological questionnaire, laboratory tests and TE and anthropometric measurements were obtained. Results Data from 11,440 subjects were analyzed. Mean age was 50.3 (SD 12.4), of which 58.1% were women. 15.4% showed metabolic syndrome (NCEP ATP‐III), 1.3% were positive for hepatitis C antibodies, 0.8% positive for HBsAg, 9.1% reported harmful use of alcohol. The prevalence of significant fibrosis (LSM > 8 kPa), suggestive compensated advanced chronic liver disease (cACLD) (LSM ≥ 10 kPa) and highly suggestive cACLD (LSM > 15 kPa) was 5.6%, 2.9%, and 1.2% respectively. Risk factors associated with significant fibrosis were age (OR 1.03 [1.02–1.04; p < 0.001]), sex (OR 0.8 [0.6–0.95; p = 0.02]), AST (OR 1.01 [1.01–1.02; p < 0.001]), GGT (OR 1.005 [1.003–1.006; p < 0.001]) and metabolic syndrome (OR 2.1 [1.7–2.6; p < 0.001]); risk factors associated with suggestive cACLD were age (OR 1.04 [1.02–1.05; p < 0.001]), AST (OR 1.01 [1.01–1.02; p < 0.001]), GGT (OR 1.006 [1.004–1.008; p < 0.001]), low platelets (OR 0.997 [0.994–0.999; p = 0.02]) and metabolic syndrome (OR 2.2 [1.6–2.9; p < 0.001]); and risk factors associated with highly suggestive cACLD were age (OR 1.04 [1.02–1.06; p = 0.001]), AST (OR 1.02 [1.01–1.03; p < 0.001]), GGT (OR 1.005 [1.003–1.007; p < 0.001]), low platelets (OR 0.993 [0.989–0.997; p < 0.001]), metabolic syndrome (OR 2.1 [1.4–3.3; p = 0.001]) and alcohol consumption (OR 1.8 [1.05–3.1; p = 0.03]). A non‐negligible proportion of patients with normal transaminase levels, even with healthy transaminase levels, showed significant fibrosis and suggestive and highly suggestive cACLD 4.6% (95% CI 2.4–3.0), 2.1% (95% CI 1.9–2.5) and 1% (95% CI 0.7–1.1), respectively. Conclusion We found high proportion of significant fibrosis and cACLD measured by TE. The most relevant factor associated with significant fibrosis was metabolic syndrome, however TE is still an imperfect method since it overestimated the fibrosis stage in 50% of the histologically analyzed subjects.
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Affiliation(s)
- Elba Llop
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), CIBERhd, Majadahonda, Spain
| | - Paula Iruzubieta
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla Research Institute (IDIVAL), Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Christie Perelló
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), CIBERhd, Majadahonda, Spain
| | - Carlos Fernández Carrillo
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), CIBERhd, Majadahonda, Spain
| | - Joaquín Cabezas
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla Research Institute (IDIVAL), Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | | | - Marta González
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla Research Institute (IDIVAL), Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Marta Hernández Conde
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), CIBERhd, Majadahonda, Spain.,Department of Gastroenterology and Hepatology, Marqués de Valdecilla Research Institute (IDIVAL), Hospital Universitario Marqués de Valdecilla, Santander, Spain.,Department of Gastroenterology and Hepatology, Hospital Clínic-La Malvarrosa, Valencia, Spain
| | - Laura Puchades
- Department of Gastroenterology and Hepatology, Hospital Clínic-La Malvarrosa, Valencia, Spain
| | - María Teresa Arias-Loste
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla Research Institute (IDIVAL), Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Miguel Ángel Serra
- Department of Gastroenterology and Hepatology, Hospital Clínic-La Malvarrosa, Valencia, Spain
| | - Javier Crespo
- Department of Gastroenterology and Hepatology, Marqués de Valdecilla Research Institute (IDIVAL), Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - José Luis Calleja
- Department of Gastroenterology and Hepatology, Hospital Universitario Puerta de Hierro, Puerta de Hierro Health Research Institute (IDIPHIM), CIBERhd, Majadahonda, Spain
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50
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Heda R, Yazawa M, Shi M, Bhaskaran M, Aloor FZ, Thuluvath PJ, Satapathy SK. Non-alcoholic fatty liver and chronic kidney disease: Retrospect, introspect, and prospect. World J Gastroenterol 2021; 27:1864-1882. [PMID: 34007127 PMCID: PMC8108029 DOI: 10.3748/wjg.v27.i17.1864] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 03/07/2021] [Accepted: 04/07/2021] [Indexed: 02/06/2023] Open
Abstract
With the growing prevalence of obesity and diabetes in the United States and across the world, a rise in the overall incidence and prevalence of non-alcoholic fatty liver disease (NAFLD) is expected. The risk factors for NAFLD are also associated with the development of chronic kidney disease (CKD). We review the epidemiology, risk factors, genetics, implications of gut dysbiosis, and specific pathogenic mechanisms linking NAFLD to CKD. Mechanisms such as ectopic lipid accumulation, cellular signaling abnormalities, and the interplay between fructose consumption and uric acid accumulation have led to the emergence of potential therapeutic implications for this patient population. Transplant evaluation in the setting of both NAFLD and CKD is also reviewed. Potential strategies for surveillance and management include the monitoring of comorbidities, the use of non-invasive fibrosis scoring systems, and the measurement of laboratory markers. Lastly, we discuss the management of patients with NAFLD and CKD, from preventative measures to experimental interventions.
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Affiliation(s)
- Rajiv Heda
- Department of Internal Medicine, Tulane University School of Medicine, New Orleans, LA 70112, United States
| | - Masahiko Yazawa
- Department of Nephrology and Hypertension, St. Marianna University School of Medicine, Kawasaki 216-8511, Japan
| | - Michelle Shi
- Department of Internal Medicine, Donald and Barbara Zucker School of Medicine, Northwell Health, Manhasset, NY 11030, United States
| | - Madhu Bhaskaran
- Department of Nephrology, Northwell Health/Zucker School of Medicine at Hosftra, Manhasset, NY 11030, United States
| | - Fuad Zain Aloor
- Department of Internal Medicine, Baylor College of Medicine, Houston, TX 77030, United States
| | - Paul J Thuluvath
- Institute of Digestive Health & Liver Diseases, Mercy Medical Center, Baltimore, MD 21202, United States
| | - Sanjaya K Satapathy
- Department of Internal Medicine, Donald and Barbara Zucker School of Medicine, Northwell Health, Manhasset, NY 11030, United States
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