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Lee ECZ, Anand VV, Razavi AC, Alebna PL, Muthiah MD, Siddiqui MS, Chew NWS, Mehta A. The Global Epidemic of Metabolic Fatty Liver Disease. Curr Cardiol Rep 2024; 26:199-210. [PMID: 38376745 DOI: 10.1007/s11886-024-02025-6] [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] [Accepted: 01/22/2024] [Indexed: 02/21/2024]
Abstract
PURPOSE OF REVIEW The objective of this manuscript is to examine the current literature on the epidemiology of metabolic dysfunction-associated steatotic liver disease (MASLD), its correlation with cardiovascular disease (CVD) outcomes, as well as to evaluate the update in nomenclature from non-alcoholic liver disease (NAFLD). RECENT FINDINGS The update of diagnostic criteria from NAFLD to MASLD reduces the stigma associated with alcohol consumption and poor health choices. It also shines a light on the crucial role of cardiometabolic risk factors in disease pathophysiology. The incidence and prevalence of MASLD are projected to increase significantly in the future as the population burden of cardiometabolic risk factors rises. MASLD is also a potent risk factor for developing CVD that should be tackled by using a multi-disciplinary team with a holistic approach. As the new nomenclature for metabolic liver disease is adopted on a global scale, more research is needed to investigate the applicability of findings from previous trials focusing on NAFLD. It is anticipated that the epidemic of MASLD will continue to increase globally, hence the urgent need for therapeutic approaches to reverse this trend.
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Affiliation(s)
- Ethan C Z Lee
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Vickram V Anand
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Alex C Razavi
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
| | - Pamela L Alebna
- VCU Health Pauley Heart Center, Virginia Commonwealth University School of Medicine, 1200 East Broad Street, PO Box 980036, Richmond, VA, 23298, USA
| | - Mark D Muthiah
- Division of Gastroenterology & Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Mohammad S Siddiqui
- Stravitz-Sanyal Institute of Liver Disease and Metabolic Health, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Nicholas W S Chew
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore
| | - Anurag Mehta
- VCU Health Pauley Heart Center, Virginia Commonwealth University School of Medicine, 1200 East Broad Street, PO Box 980036, Richmond, VA, 23298, USA.
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [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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Chan KE, Ng CH, Fu CE, Quek J, Kong G, Goh YJ, Zeng RW, Tseng M, Aggarwal M, Nah B, Chee D, Wong ZY, Zhang S, Wang JW, Chew NWS, Dan YY, Siddiqui MS, Noureddin M, Sanyal AJ, Muthiah M. The Spectrum and Impact of Metabolic Dysfunction in MAFLD: A Longitudinal Cohort Analysis of 32,683 Overweight and Obese Individuals. Clin Gastroenterol Hepatol 2023; 21:2560-2569.e15. [PMID: 36202348 DOI: 10.1016/j.cgh.2022.09.028] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 09/08/2022] [Accepted: 09/19/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Metabolic associated fatty liver disease (MAFLD) was recently proposed as an alternative name change for better encapsulation of disease. However, there exists a spectrum of MAFLD where both metabolically healthy (MH) and metabolically unhealthy (MU) individuals are included. In view of limited evidence, we sought to examine the prevalence, clinical characteristics, and differences in outcomes of MH-MAFLD at the population level. METHODS Data were used from the United States National Health and Nutrition Examination Survey 1999 to 2018. Multivariate logistic regression analysis was used to obtain odds ratios for the estimation of events. Survival analysis was conducted with Cox regression and the Fine-Gray subdistribution model. RESULTS There were 32,683 overweight and obese individuals included in the analysis. In MAFLD patients, the prevalence of MH-MAFLD was 6.92% (95% confidence interval [CI], 6.58%-7.27%), and 93.08% (95% CI, 92.73%-93.42%) were considered as MU-MAFLD. Multivariate analysis found a significantly higher risk of MACE (odds ratio, 1.38; 95% CI, 1.28-1.49; P < .01), all-cause (hazard ratio, 1.24; 95% CI, 1.17-1.32; P < .01), cardiovascular disease (SHR, 1.20; 95% CI, 1.02-1.42; P = .03), and cancer mortality (SHR, 1.24; 95% CI, 1.07-1.44; P < .01) in MU-MAFLD relative to non-MAFLD. However, MH-MAFLD individuals were not associated with a statistically significant increased risk of these adverse outcomes compared with non-MAFLD. MU-MAFLD diabetics were also at a higher risk of adverse events compared with non-diabetics. CONCLUSIONS This study reports on the heterogeneity and spectrum of metabolic dysfunction that exists in overweight and obese MAFLD. Although MAFLD may potentially be advantageous in improving awareness and patient outcomes, there remains substantial heterogeneity within patients included in MAFLD on the basis of the underlying metabolic burden.
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Affiliation(s)
- Kai En Chan
- 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.
| | - Clarissa Elysia Fu
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jingxuan Quek
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Gwyneth Kong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yi Jie Goh
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | | | - Michael Tseng
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Manik Aggarwal
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Benjamin Nah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Douglas Chee
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Zhen Yu Wong
- Nottingham City Hospital, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom
| | - Sitong Zhang
- Department of Surgery, Cardiovascular Research Institute (CVRI), National University Heart Centre, Singapore; Nanomedicine Translational Research Programme, Centre for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jiong-Wei Wang
- Department of Surgery, Cardiovascular Research Institute (CVRI), National University Heart Centre, Singapore; Nanomedicine Translational Research Programme, Centre for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Nicholas W S Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Yock Young Dan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | | | - Arun J Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - 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; National University Centre for Organ Transplantation, National University Health System, Singapore.
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Lim J, Sang H, Kim HI. Impact of metabolic risk factors on hepatic and cardiac outcomes in patients with alcohol- and non-alcohol-related fatty liver disease. JHEP Rep 2023; 5:100721. [PMID: 37138675 PMCID: PMC10149369 DOI: 10.1016/j.jhepr.2023.100721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 01/31/2023] [Accepted: 02/18/2023] [Indexed: 05/05/2023] Open
Abstract
Background & Aims Metabolic risk factors (MetRs) are associated with hepatic and cardiac outcomes in patients with fatty liver disease (FLD). We evaluated whether MetRs have different effects on alcoholic FLD (AFLD) and non-alcoholic FLD (NAFLD). Methods We used a standardised common data model to analyse data from seven university hospital databases between 2006 and 2015. MetRs included diabetes mellitus, hypertension, dyslipidaemia, and obesity. Follow-up data were analysed for the incidence of hepatic outcomes, cardiac outcomes, and death in patients with AFLD or NAFLD and based on MetRs within AFLD and NAFLD. Results Out of 3,069 and 17,067 patients with AFLD and NAFLD, respectively, 2,323 (75.7%) and 13,121 (76.9%) had one or more MetR, respectively. Patients with AFLD were at a higher risk of hepatic outcomes (adjusted risk ratio [aRR], 5.81) compared with those with NAFLD irrespective of MetR. The risk of cardiac outcomes in AFLD and NAFLD became similar with the increasing number of MetRs. Patients with NAFLD without MetRs demonstrated a lower risk of cardiac outcomes, but not hepatic outcomes, compared with those with MetRs (aRR, 0.66 and 0.61 for MetR ≥1 and MetR ≥2, respectively; p <0.05). In patients with AFLD, hepatic and cardiac outcomes were not associated with MetRs. Conclusions The clinical impact of MetRs in patients with FLD may differ between patients with AFLD and those with NAFLD. Impact and Implications With the increasing prevalence of fatty liver disease (FLD) and metabolic syndrome, the increase in associated complications, such as liver and heart diseases, has become an important social issue. Particularly in patients with FLD with excessive alcohol consumption, the incidence of liver and heart disease is pronounced because of the dominant effect of alcohol over the effects of other factors. Thus, appropriate screening and management of alcohol consumption in patients with FLD are vital.
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Affiliation(s)
- Jihye Lim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, The Catholic University College of Medicine, Seoul, Republic of Korea
| | - Hyunji Sang
- Department of Endocrinology and Metabolism, Kyung Hee University Hospital, Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Ha Il Kim
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Guri, Republic of Korea
- Corresponding author. Address: Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, 153 Gyeongchun-ro, 11923, Guri, Republic of Korea. Tel.: +82-31-560-2232.
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Yoon EL, Park H, Jun DW. Reply. Clin Gastroenterol Hepatol 2023; 21:1115-1116. [PMID: 35840063 DOI: 10.1016/j.cgh.2022.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 06/10/2022] [Indexed: 02/07/2023]
Affiliation(s)
- Eileen L Yoon
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Huiyul Park
- Department of Family Medicine, Myoungji Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
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Fan H, Liu Z, Zhang P, Wu S, Han X, Huang Y, Zhu Y, Chen X, Zhang T. Characteristics and long-term mortality of patients with non-MAFLD hepatic steatosis. Hepatol Int 2023; 17:615-625. [PMID: 37000387 DOI: 10.1007/s12072-023-10512-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 03/04/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND & AIMS A cluster of hepatic steatosis without metabolic abnormalities has been excluded by the MAFLD definition, referred to as non-MAFLD steatosis. We aimed to characterize the non-MAFLD steatosis. METHODS We included 16,308 individuals from the UK Biobank who had magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) to describe the clinical and genetic features of non-MAFLD steatosis in a cross-sectional design, and 14,797 individuals of the NHANES III who underwent abdominal ultrasonography at baseline to assess the long-term mortality of non-MAFLD steatosis in a prospective cohort design. RESULTS Of 16,308 individuals in the UK Biobank, 2747 fatty liver disease (FLD) cases (2604 MAFLD and 143 non-MAFLD) and 3007 healthy controls (without metabolic dysfunctions) were identified. The mean PDFF (10.65 vs. 9.00) and the proportion of advanced fibrosis (fibrosis-4 index > 2.67, 1.27% vs. 1.40%) were comparable between MAFLD and non-MAFLD steatosis. Non-MAFLD steatosis has the highest minor allele frequency of PNPLA3 rs738409, TM6SF2 rs58542926, and GCKR rs1260326 in contrast to the other two groups. The genetic risk score calculated by PNPLA3, TM6SF2, and GCKR has a certain predictive ability for non-MAFLD steatosis (AUROC = 0.69). NHANES III population showed that compared to healthy individuals, the adjusted hazard ratio of non-MAFLD steatosis increased by 1.52 (95% confidence interval: 1.21-1.91) and 1.78 (95% confidence interval: 1.03-3.07) for all-cause and heart disease-related mortality, respectively. CONCLUSIONS Non-MAFLD steatosis has comparable degrees of hepatic steatosis and fibrosis to MAFLD and increases the risk of mortality. Genetic predisposition highly contributes to the risk of non-MAFLD steatosis.
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Affiliation(s)
- Hong Fan
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Zhenqiu Liu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
| | - Pengyan Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Sheng Wu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Xinyu Han
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Yiwen Huang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Yichen Zhu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Xingdong Chen
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
- Key Laboratory of Public Health Safety (Fudan University), Ministry of Education, Shanghai, China.
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.
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Xin Z, Huang J, Cao Q, Wang J, He R, Hou T, Ding Y, Lu J, Wang T, Zhao Z, Wang W, Ning G, Xu M, Bi Y, Xu Y, Li M. Risk of subclinical atherosclerosis across metabolic transition in individuals with or without fatty liver disease: a prospective cohort study. Nutr Metab (Lond) 2023; 20:15. [PMID: 36899397 PMCID: PMC10007748 DOI: 10.1186/s12986-023-00734-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/22/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Metabolic dysfunction is a major determinant in the progression of fatty liver disease. It is pivotal to evaluate the metabolic status and subsequent transition in fatty liver population and to identify the risk of subclinical atherosclerosis. METHODS The prospective cohort study included 6260 Chinese community residents during 2010-2015. Fatty liver was determined as hepatic steatosis (HS) by ultrasonography. Metabolic unhealthy (MU) status was defined as having diabetes and/or ≥ 2 metabolic risk factors. Participants were categorized into 4 groups according to the combination of metabolic healthy (MH)/MU and fatty liver status (MHNHS, MUNHS, MHHS and MUHS). Subclinical atherosclerosis was assessed by elevated brachial-ankle pulse wave velocity, pulse pressure and/or albuminuria. RESULTS 31.3% of the participants had fatty liver disease and 76.9% were in MU status. During a 4.3-year follow-up, 24.2% of participants developed composite subclinical atherosclerosis. Multivariable adjusted odds ratios for composite subclinical atherosclerosis risk were (1.66 [1.30-2.13]) in MUNHS group and (2.57 [1.90-3.48]) in MUHS group. It seemed that participants with fatty liver disease were more prone to be remained in MU status (90.7% vs.50.8%) and less likely to regress to MH status (4.0% vs. 8.9%). Fatty liver participants progressed to (3.11 [1.23-7.92]) or maintained MU status (4.87 [3.25-7.31]) significantly impelled the development of the composite risk, while regressing to MH status (0.15 [0.04-0.64]) were more intended to mitigate the risk. CONCLUSIONS The current study emphasized the importance of assessing metabolic status and its dynamic changes, especially in the fatty liver population. Regressing from MU to MH status not only benefited the systematic metabolic profile but also ameliorated future cardiometabolic complications.
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Affiliation(s)
- Zhuojun Xin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Jiaojiao Huang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Jialu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Ruixin He
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Tianzhichao Hou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Yi Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China.
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China.
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical GenomicsShanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2Nd Road, Shanghai, 200025, China.
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Tang SY, Tan JS, Pang XZ, Lee GH. Metabolic dysfunction associated fatty liver disease: The new nomenclature and its impact. World J Gastroenterol 2023; 29:549-560. [PMID: 36688021 PMCID: PMC9850940 DOI: 10.3748/wjg.v29.i3.549] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/14/2022] [Accepted: 12/23/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND In 2020, an international expert panel proposed a new definition of fatty liver: Metabolic dysfunction-associated fatty liver disease (MAFLD). The MAFLD added the criteria for defining metabolic dysfunctions, which are high-risk factors for liver-related and cardiovascular events. Contrary to the non-alcoholic fatty liver disease (NAFLD) definition, it allows the coexistence of MAFLD and significant alcohol use in the same patient.
AIM To review the existing data that evaluate the clinical profile and long-term outcome difference between the patients identified as MAFLD and NAFLD.
METHODS Databases MEDLINE via PubMed and EMBASE were searched and relevant publications up to June 28, 2022 were assessed. Studies were included if they involved human participants diagnosed with MAFLD.
RESULTS A total of 2324 records were reviewed, of which 1575 duplicate citations were removed. Of the 2324 records screened, 207 articles were excluded, and 542 articles were assessed for their eligibility, for which 511 were excluded. The remaining 31 articles were selected for review. MAFLD diagnostic criteria were able to identify more individuals with fatty liver. Studies have shown that patients included using the MAFLD criteria were associated with higher risks of hepatic fibrosis when compared to NAFLD. All-cause mortality, cardiovascular disease-related, and cancer-related mortality were shown to be higher in MAFLD patients. MAFLD patients also had higher baseline metabolic derangement, and risks of developing obesity, diabetes, and cardiovascular events. Of the 3 subtypes, diabetes mellitus has the strongest association with negative outcomes, followed by metabolic dysfunction and elevated body mass index. Within the subtypes of MAFLD, patients with more metabolic conditions at the time of diagnosis had worse hepatic and liver injury compared to those with a single metabolic condition.
CONCLUSION MAFLD is a new definition of fatty liver disease that is gaining increasing acceptance. It is based on empirical clinical practice on positive inclusion of metabolic risk factors and recent evidence suggests that it helps to identify patients with higher risk for liver-related as well as cardiovascular events.
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Affiliation(s)
- Si-Ying Tang
- Division of Gastroenterology and Hepatology, National University Hospital, Singapore 119228, Singapore
| | - Jian Shiun Tan
- Yong Loo Lin School of Medicine, Singapore 117597, Singapore
| | - Xian-Zheng Pang
- Yong Loo Lin School of Medicine, Singapore 117597, Singapore
| | - Guan-Huei Lee
- Division of Gastroenterology and Hepatology, National University Hospital, Singapore 119228, Singapore
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