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Kim Y, Lee TS, Oh CM. Metabolic outcomes in non-alcoholic and alcoholic steatotic liver disease among Korean and American adults. BMC Gastroenterol 2025; 25:110. [PMID: 39994673 PMCID: PMC11853905 DOI: 10.1186/s12876-025-03687-4] [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: 10/31/2024] [Accepted: 02/12/2025] [Indexed: 02/26/2025] Open
Abstract
BACKGROUND This study investigated the prevalence and causal relationships of chronic metabolic diseases (diabetes, hypertension, and dyslipidemia) with steatotic liver disease (SLD), specifically metabolically associated alcoholic liver disease (MetALD). METHODS We conducted a comprehensive analysis using cross-sectional data from the KNHANES from 2011 to 2021 and the NHANES from 1999 to 2020. Longitudinal data from 2001 to 2014 from the KoGES were used. Participants were categorized into the metabolic dysfunction-associated SLD(MASLD), MetALD, and ALD groups based on their hepatic steatosis index (HSI), including liver profiles, body composition, and diabetes, and alcohol consumption. Multivariable, including age and smoking status, logistic and Cox regression analyses were performed to assess the prevalence and incidence of chronic diseases. RESULTS In both the KNHANES and NHANES cohorts, an increased HSI was significantly associated with a higher prevalence of chronic metabolic diseases. Longitudinal data from the KoGES cohort showed that MASLD and MetALD were significant predictors of chronic metabolic disease in both men and women. MetALD showed a higher hazard ratio for the development of chronic metabolic diseases than MASLD in Cox regression analysis. CONCLUSIONS This study highlighted the intertwined nature of SLD and metabolic health, with an emphasis on the role of MetALD. The significant association between MetALD and chronic metabolic diseases underscores the need for integrated management strategies that address both liver health and metabolic risk factors.
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Affiliation(s)
- Yeongmin Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Tae Sic Lee
- Department of Family Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
| | - Chang-Myung Oh
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea.
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Shi C, Yuan C, Hao Y, Zhou Z, Zhang Y. Association between surrogate indices of fatty liver and the risk of colorectal cancer: a cross-sectional United States study. Transl Cancer Res 2025; 14:313-326. [PMID: 39974378 PMCID: PMC11833385 DOI: 10.21037/tcr-24-1444] [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: 08/17/2024] [Accepted: 10/31/2024] [Indexed: 02/21/2025]
Abstract
BACKGROUND The presence of fatty liver (FL) has been suggested to influence the incidence of colorectal cancer (CRC). This study aimed to evaluate the predictive utility of six alternative indices of FL-namely, liver fat percentage (PLF), lipid accumulation product (LAP), hepatic steatosis index (HSI), United States fatty liver index (USFLI), fatty liver index (FLI), and Zhejiang University index (ZJU)-in assessing the risk of CRC. We aimed to determine their effectiveness in predicting CRC risk by comparing these surrogate indices. METHODS Data for this study were derived from the National Health and Nutrition Examination Survey (NHANES) conducted between 2003 and 2018, focusing on adults over 20 years old. The six FLIs were calculated using established methodologies outlined in prior research. To identify key variables, the Boruta algorithm was employed. The relationships between FLIs and CRC risk were assessed using multivariable logistic regression, generalized linear models (GLMs), and restricted cubic spline (RCS) models. Additionally, subgroup analyses were performed to investigate the effects of potential confounders. RESULTS Among the 16,250 individuals surveyed, 96 were diagnosed with CRC. Those with CRC exhibited significantly higher levels of PLF (4.65 vs. 3.31, P=0.004), LAP (55.63 vs. 42.34, P=0.04), USFLI (23.22 vs. 17.83, P<0.001), and FLI (58.16 vs. 50.86, P=0.048) compared to individuals without CRC. Multivariate logistic regression and RCS analyses indicated that, of the six indices, only USFLI was significantly associated with an increased risk of CRC. Notably, further stratification of USFLI revealed that this association was consistently stronger in individuals aged over 65 years [odds ratio (OR) =1.023; 95% confidence interval (CI): 1.005-1.041; P=0.01] and among non-smokers (OR =1.018; 95% CI: 1.003-1.033; P=0.02) after adjusting for multiple confounders. CONCLUSIONS The USFLI index demonstrated a more significant association with the risk of CRC compared to the other five alternative FLIs, highlighting its potential utility in predicting CRC risk in clinical settings.
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Affiliation(s)
- Chenyuan Shi
- Department of Emergency Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Yuan
- Department of Emergency Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yifei Hao
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zheng Zhou
- Department of Emergency Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yigang Zhang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Kitsunai H, Shinozaki Y, Furusawa S, Kitao N, Ito M, Kurihara H, Oba-Yamamoto C, Takeuchi J, Nakamura A, Takiyama Y, Nomoto H. The Effects of Oral Semaglutide on Hepatic Fibrosis in Subjects with Type 2 Diabetes in Real-World Clinical Practice: A Post Hoc Analysis of the Sapporo-Oral SEMA Study. Pharmaceuticals (Basel) 2025; 18:129. [PMID: 39861190 PMCID: PMC11769496 DOI: 10.3390/ph18010129] [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: 12/20/2024] [Revised: 01/09/2025] [Accepted: 01/17/2025] [Indexed: 01/27/2025] Open
Abstract
BACKGROUND/OBJECTIVES Metabolic dysfunction-associated steatotic liver disease (MASLD) is an important common comorbidity in subjects with type 2 diabetes, and liver fibrosis is a factor directly related to its prognosis. Glucagon-like peptide-1 receptor agonists are useful treatment options for MASLD; however, the efficacy of oral semaglutide in treating liver steatosis/fibrosis has not been fully elucidated. METHODS A secondary analysis of a multicenter, retrospective, observational study investigating the efficacy and safety of oral semaglutide in Japanese subjects with type 2 diabetes in a real-world clinical setting (the Sapporo-Oral SEMA study) was conducted. Subjects in the original cohort were divided into groups as follows: subjects with suspected MASLD (alanine aminotransferase > 30 U/L) were placed in an overall group; a subpopulation from an overall group at high risk for hepatic fibrosis (fibrosis-4 (FIB-4) index ≥ 1.3 or platelet count < 200,000/µL) was placed in a high-risk group; and the remaining subjects were placed in a low-risk group. Changes in the hepatic steatosis index and FIB-4 index after oral semaglutide induction were explored using a paired t-test or the Wilcoxon signed-rank test. RESULTS Overall, 169 subjects (including 131 that switched from other medications) were analyzed, and 67 and 102 subjects were selected for the high-risk and low-risk groups, respectively. Oral semaglutide significantly improved the hepatic steatosis index (from 46.1 to 44.6, p < 0.001) and FIB-4 index (from 1.04 to 0.96, p < 0.001) as well as several metabolic parameters in all cohorts. The efficacy of semaglutide in treating liver fibrosis was confirmed by the addition of, and switching from, existing agent groups. Furthermore, improvement in the FIB-4 index was significantly negatively correlated with the baseline FIB-4 index. CONCLUSIONS The induction of oral semaglutide might be a useful treatment option for subjects with type 2 diabetes at high risk for liver fibrosis, even when switching from conventional medications for diabetes.
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Affiliation(s)
- Hiroya Kitsunai
- Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa 078-8510, Hokkaido, Japan; (H.K.); (Y.S.); (Y.T.)
| | - Yuka Shinozaki
- Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa 078-8510, Hokkaido, Japan; (H.K.); (Y.S.); (Y.T.)
| | - Sho Furusawa
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine, Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Hokkaido, Japan; (S.F.); (A.N.)
| | - Naoyuki Kitao
- Aoki Clinic, Internal Medicine, Sapporo 003-0023, Hokkaido, Japan;
| | - Miki Ito
- Kurihara Clinic, Internal Medicine, Sapporo 004-0053, Hokkaido, Japan; (M.I.); (H.K.)
| | - Hiroyoshi Kurihara
- Kurihara Clinic, Internal Medicine, Sapporo 004-0053, Hokkaido, Japan; (M.I.); (H.K.)
| | - Chiho Oba-Yamamoto
- Sapporo Thyroid and Diabetes Clinic, Internal Medicine, Sapporo 060-0807, Hokkaido, Japan; (C.O.-Y.); (J.T.)
| | - Jun Takeuchi
- Sapporo Thyroid and Diabetes Clinic, Internal Medicine, Sapporo 060-0807, Hokkaido, Japan; (C.O.-Y.); (J.T.)
| | - Akinobu Nakamura
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine, Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Hokkaido, Japan; (S.F.); (A.N.)
| | - Yumi Takiyama
- Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa 078-8510, Hokkaido, Japan; (H.K.); (Y.S.); (Y.T.)
| | - Hiroshi Nomoto
- Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa 078-8510, Hokkaido, Japan; (H.K.); (Y.S.); (Y.T.)
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine, Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Hokkaido, Japan; (S.F.); (A.N.)
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Ueba Y, Ikeda K, Tabara Y, Nakayama T, Tanaka D, Takahashi Y, Kosugi S, Setoh K, Kawaguchi T, Matsuda F, Inagaki N. Dietary Patterns Rich in Soybean Products, Vegetables, Fish, Fruits, and Miso Soup Were Inversely Associated with Fatty Liver Index: The Nagahama Study. J Nutr Sci Vitaminol (Tokyo) 2025; 71:25-33. [PMID: 40024746 DOI: 10.3177/jnsv.71.25] [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] [Indexed: 03/04/2025]
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prominent liver disease occurring in approximately 25% of the general population. As treatment, lifestyle modification is essential, but there are few reports on dietary patterns associated with MASLD except for the Mediterranean diet. This study examines dietary habits related to MASLD using the fatty liver index (FLI). Longitudinal analysis of a community-based cohort, the Nagahama Prospective Cohort for Comprehensive Human Bioscience, was performed. Dietary habits were assessed by a self-reported questionnaire on food intake frequency, and factor analysis was applied to identify dietary patterns. Multiple regression analysis was performed with baseline FLI or FLI after 5 y as the dependent variable and sex, age, and/or baseline FLI, and factor scores of each dietary pattern as simultaneous independent variables. The same analyses stratified by sex or body mass index (BMI) were also performed. Three thousand five hundred one participants were included. The 15 food items of the questionnaire were summarized into four dietary patterns. Dietary patterns rich in soybean products, vegetables, fish, fruits, and miso soup, which is characteristic of traditional Japanese diet, negatively correlated with FLI and FLI after 5 y (partial regression coefficient: -3.01 and -1.03, respectively; p<0.01 for both). The result was similar in sex-specific analysis and in BMI<23 kg/m2 group, when the participants were stratified according to BMI. Our results suggest that dietary patterns rich in soybean products, vegetables, fish, fruits, and miso soup are protective factors against MASLD especially in individuals with BMI<23 kg/m2.
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Affiliation(s)
- Yoko Ueba
- Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine
| | - Kaori Ikeda
- Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine
- Department of Clinical Research Facilitation, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital
| | - Yasuharu Tabara
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University
- Graduate School of Public Health, Shizuoka Graduate University of Public Health
| | - Takeo Nakayama
- Department of Health Informatics, Kyoto University School of Public Health
| | - Daisuke Tanaka
- Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine
| | | | - Shinji Kosugi
- Department of Medical Ethics and Medical Genetics, Kyoto University School of Public Health
| | - Kazuya Setoh
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University
- Graduate School of Public Health, Shizuoka Graduate University of Public Health
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University
| | - Nobuya Inagaki
- Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine
- Medical Research Institute KITANO HOSPITAL
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Mochizuki K, Higa M, Ikehara K, Ichijo T, Hirose T. High levels of serum dihomo-γ-linolenic acid are associated with non-alcoholic fatty liver disease in type 2 diabetic patients. Diabetol Int 2025; 16:107-114. [PMID: 39877445 PMCID: PMC11769884 DOI: 10.1007/s13340-024-00760-3] [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: 03/26/2024] [Accepted: 09/10/2024] [Indexed: 01/03/2025]
Abstract
An elevated level of saturated fatty acids (SFAs) can cause non-alcoholic fatty liver disease (NAFLD). While n-3 polyunsaturated fatty acids (PUFAs) were shown to improve NAFLD, the effects of n-6 PUFAs in the liver have not been fully elucidated. We examined the association between NAFLD and n-6 PUFAs, particularly dihomo-γ-linolenic acid (DGLA), in patients with type 2 diabetes. A total of 60 patients with type 2 diabetes were included in the study. Patients were categorized into the NAFLD group (n = 35) and non-NAFLD group (n = 25) based on the presence of fatty liver as determined by abdominal ultrasound. We demonstrated that the levels of serum SFAs, specifically palmitic acid and stearic acid, and the levels of n-6 PUFAs, specifically DGLA, and arachidonic acid (AA), were significantly higher in the NAFLD group. The serum palmitic acid, stearic acid, DGLA and AA levels were positively correlated with liver enzyme gamma-glutamyl transpeptidase (GGT). We further demonstrated by multivariate analysis that serum DGLA was a predictor of NAFLD. The serum DGLA level was negatively correlated with blood adiponectin and was positively correlated with blood leptin, high-sensitivity CRP, C-peptide index, and triglyceride-glucose index. Furthermore, delta-5-desaturase (D5D), the AA (product)/DGLA (precursor) ratio calculated from the product-to-precursor ratio of fatty acids, was significantly lower in the NAFLD group. These findings suggest that high serum DGLA levels in NAFLD group may be due to an excessive intake of n-6 PUFAs and changes in desaturase in the human body. High serum DGLA levels may also be associated with insulin resistance and inflammatory factors.
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Affiliation(s)
- Kohei Mochizuki
- Division of Diabetes and Endocrinology, Department of Medicine, Saiseikai Yokohamashi Tobu Hospital, Kanagawa, Japan
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Mariko Higa
- Division of Diabetes and Endocrinology, Department of Medicine, Saiseikai Yokohamashi Tobu Hospital, Kanagawa, Japan
| | - Kayoko Ikehara
- Division of Diabetes and Endocrinology, Department of Medicine, Saiseikai Yokohamashi Tobu Hospital, Kanagawa, Japan
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Takamasa Ichijo
- Division of Diabetes and Endocrinology, Department of Medicine, Saiseikai Yokohamashi Tobu Hospital, Kanagawa, Japan
| | - Takahisa Hirose
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
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Ma X, Zou H, Zhan J, Gao J, Xie Y. Assessment of the clinical value of five noninvasive predictors of metabolic dysfunction-associated steatotic liver disease in Han Chinese adults. Eur J Gastroenterol Hepatol 2024; 36:1209-1219. [PMID: 38973526 DOI: 10.1097/meg.0000000000002806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/09/2024]
Abstract
BACKGROUND Fatty Liver Index (FLI), Triglyceride-Glucose Index (TyG), Lipid Accumulation Product (LAP), Zhejiang University Index (ZJU), and Visceral Adiposity Index (VAI) are five classical predictive models for fatty liver disease. Our cross-sectional study aimed to identify the optimal predictors by comparing the predictive value of five models for metabolic dysfunction-associated steatotic liver disease (MASLD) risk. METHODS Data on 2687 participants were collected from West China Hospital of Sichuan University. Controlled attenuation parameters assessed by transient elastography were used to effectively diagnose MASLD. Logistic regression analysis was used to estimate the odd ratios and 95% confidence intervals between indices and MASLD risk. Receiver operating characteristic curves were plotted to evaluate the predictive value of indices. RESULTS This study included 1337 normal and 1350 MASLD samples. The average age of MASLD patients is 47 years old, and the prevalence was higher in males (39.3%) than in females (10.9%). Five indices were positively correlated with MASLD risk, with the strongest correlation for TyG. Overall, the area under the curve of the indicators was: ZJU 0.988, FLI 0.987, LAP 0.982, TyG 0.942, and VAI 0.941. In the gender stratification, ZJU (0.989) performed best in males. FLI (0.988) and ZJU (0.987) had similar predictive ability in females. In the age stratification, FLI performed better in predicting the middle-aged group aged 30-40 years (0.991). CONCLUSION For Chinese Han adults, ZJU is the best predictive index for initial screening of MASLD. FLI can serve as an alternative tool for ZJU to predict females.
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Affiliation(s)
- Xiaopu Ma
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
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7
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Amini-Salehi E, Letafatkar N, Norouzi N, Joukar F, Habibi A, Javid M, Sattari N, Khorasani M, Farahmand A, Tavakoli S, Masoumzadeh B, Abbaspour E, Karimzad S, Ghadiri A, Maddineni G, Khosousi MJ, Faraji N, Keivanlou MH, Mahapatro A, Gaskarei MAK, Okhovat P, Bahrampourian A, Aleali MS, Mirdamadi A, Eslami N, Javid M, Javaheri N, Pra SV, Bakhsi A, Shafipour M, Vakilpour A, Ansar MM, Kanagala SG, Hashemi M, Ghazalgoo A, Kheirandish M, Porteghali P, Heidarzad F, Zeinali T, Ghanaei FM, Hassanipour S, Ulrich MT, Melson JE, Patel D, Nayak SS. Global Prevalence of Nonalcoholic Fatty Liver Disease: An Updated Review Meta-Analysis comprising a Population of 78 million from 38 Countries. Arch Med Res 2024; 55:103043. [PMID: 39094335 DOI: 10.1016/j.arcmed.2024.103043] [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: 03/24/2024] [Revised: 06/09/2024] [Accepted: 07/03/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is a global health challenge, with a rising rate in line with other metabolic diseases. We aimed to assess the global prevalence of NAFLD in adult and pediatric populations. METHODS PubMed, Scopus and Web of Science databases were systematically searched up to May 2023. Heterogeneity was assessed using Cochran's Q test and I2 statistics, and random-effects model was used for meta-analysis. Analyses were performed using STATA version 18. RESULTS A total of 479 studies with 78,001,755 participants from 38 countries were finally included. The global prevalence of NAFLD was estimated to be 30.2% (95% CI: 28.7-31.7%). Regionally, the prevalence of NAFLD was as follows: Asia 30.9% (95% CI: 29.2-32.6%), Australia 16.1% (95% CI: 9.0-24.8%), Europe 30.2% (95% CI: 25.6-35.0%), North America 29% (95% CI: 25.8-32.3%), and South America 34% (95% CI: 16.9-53.5%). Countries with a higher human development index (HDI) had significantly lower prevalence of NAFLD (coefficient = -0.523, p = 0.005). Globally, the prevalence of NAFLD in men and women was 36.6% (95% CI: 34.7-38.4%) and 25.5% (95% CI: 23.9-27.1%), respectively. The prevalence of NAFLD in adults, adults with obesity, children, and children with obesity was 30.2% (95% CI: 28.8-31.7%), 57.5% (95% CI: 43.6-70.9%), 14.3% (95% CI: 10.3-18.8%), and 38.0% (95% CI: 31.5-44.7%), respectively. CONCLUSION The prevalence of NAFLD is remarkably high, particularly in countries with lower HDI. This substantial prevalence in both adults and children underscores the need for disease management protocols to reduce the burden.
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Affiliation(s)
- Ehsan Amini-Salehi
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Negin Letafatkar
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Naeim Norouzi
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Farahnaz Joukar
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Arman Habibi
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mona Javid
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Nazila Sattari
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mehrdad Khorasani
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Ali Farahmand
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Shervin Tavakoli
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Behnaz Masoumzadeh
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Elaheh Abbaspour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology, Poursina Hospital, Guilan University of Medical Sciences, Rasht, Iran
| | - Sahand Karimzad
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir Ghadiri
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Gautam Maddineni
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Jacksonville, Florida, USA
| | - Mohammad Javad Khosousi
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Niloofar Faraji
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | | | - Abinash Mahapatro
- Department of Internal Medicine, Hi-Tech Medical College and Hospital, Rourkela, Odisha, India
| | | | - Paria Okhovat
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Ali Bahrampourian
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Maryam Sadat Aleali
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Arian Mirdamadi
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Narges Eslami
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mohamadreza Javid
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Naz Javaheri
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | | | - Arash Bakhsi
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mohammad Shafipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Azin Vakilpour
- Department of Internal Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Malek Moein Ansar
- Neuroscience Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran; Department of Biochemistry and Medical Physics, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | | | - Mohamad Hashemi
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Arezoo Ghazalgoo
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Masoumeh Kheirandish
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Parham Porteghali
- Department of Internal Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Forough Heidarzad
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Taraneh Zeinali
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Fariborz Mansour Ghanaei
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Michael T Ulrich
- Department of Internal Medicine, Riverside University Health System Medical Center, Moreno Valley, CA, USA
| | - Joshua E Melson
- Division of Gastroenterology, Department of Medicine, University of Arizona Medical Center-Banner Health, Tucson, AZ, USA
| | - Dhruvan Patel
- Division of Gastroenterology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
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Miwa T, Tajirika S, Imamura N, Adachi M, Horita R, Hanai T, Ng CH, Siddiqui MS, Fukao T, Shimizu M, Yamamoto M. Usefulness of health checkup-based indices in identifying metabolic dysfunction-associated steatotic liver disease. JGH Open 2024; 8:e13110. [PMID: 38895100 PMCID: PMC11183927 DOI: 10.1002/jgh3.13110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/22/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024]
Abstract
Aims The application of indices in the context of metabolic dysfunction-associated steatotic liver disease (MASLD) remains unexplored. We aimed to validate the ability of alanine aminotransferase (ALT), fatty liver index (FLI), and hepatic steatosis index (HSI) to identify MASLD during health checkups. Methods We recruited 627 participants and utilized their health checkup data and ultrasound to assess the potential of using ALT, FLI, and HSI as indices for MASLD; this was indicated by the area under the curve (AUC) and restricted cubic spline (RCS) model. The optimal, rule-out (sensitivity ≥90%), and rule-in (specificity ≥90%) cutoff values of each index for identifying MASLD were reported. Results Among participants with a median age of 46 years, the prevalence of MASLD was 28% in total (38% in males and 18% in females). RCS models confirmed a linear association between indices and MASLD. ROC analyses indicated that the AUC of ALT in identifying MASLD was 0.79 for the total cohort, 0.81 for males, and 0.69 for females. The optimal, rule-out, and rule-in cutoff values for ALT were 21, 13, and 29, respectively. Similarly, the AUC of FLI/HSI in identifying MASLD was 0.90/0.88 for the total cohort, 0.86/0.85 for males, and 0.93/0.90 for females. Considering the reference cutoff values, distinct cutoff values were observed between the sexes for FLI, while HSI had similar cutoff values. Conclusion This study demonstrated that ALT > 30 IU/L is a reasonable cutoff value to rule-in MASLD. ALT, FLI, and HSI are reliable indices for identifying MASLD during health checkups.
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Affiliation(s)
- Takao Miwa
- Health Administration CenterGifu UniversityGifuJapan
- Department of Gastroenterology/Internal Medicine, Graduate School of MedicineGifu UniversityGifuJapan
| | - Satoko Tajirika
- Health Administration CenterGifu UniversityGifuJapan
- Department of Gastroenterology/Internal Medicine, Graduate School of MedicineGifu UniversityGifuJapan
| | | | - Miho Adachi
- Health Administration CenterGifu UniversityGifuJapan
| | - Ryo Horita
- Health Administration CenterGifu UniversityGifuJapan
| | - Tatsunori Hanai
- Department of Gastroenterology/Internal Medicine, Graduate School of MedicineGifu UniversityGifuJapan
| | - Cheng Han Ng
- Division of Gastroenterology and Hepatology, Department of MedicineNational University HospitalSingaporeSingapore
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal MedicineVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Taku Fukao
- Health Administration CenterGifu UniversityGifuJapan
| | - Masahito Shimizu
- Department of Gastroenterology/Internal Medicine, Graduate School of MedicineGifu UniversityGifuJapan
| | - Mayumi Yamamoto
- Health Administration CenterGifu UniversityGifuJapan
- United Graduate School of Drug Discovery and Medical Information SciencesGifu UniversityGifuJapan
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9
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Kaneva AM, Bojko ER. Fatty liver index (FLI): more than a marker of hepatic steatosis. J Physiol Biochem 2024; 80:11-26. [PMID: 37875710 DOI: 10.1007/s13105-023-00991-z] [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: 07/21/2023] [Accepted: 10/12/2023] [Indexed: 10/26/2023]
Abstract
Fatty liver index (FLI) was developed as a simple and accurate marker of hepatic steatosis. FLI is derived from an algorithm based on body mass index, waist circumference, and levels of triglycerides and gamma-glutamyltransferase, and it is widely used in clinical and epidemiological studies as a screening tool for discriminating between healthy and nonalcoholic fatty liver disease (NAFLD) subjects. However, a systematic review of the literature regarding FLI revealed that this index has more extensive relationships with biochemical and physiological parameters. FLI is associated with key parameters of lipid, protein and carbohydrate metabolism, hormones, vitamins and markers of inflammation, or oxidative stress. FLI can be a predictor or risk factor for a number of metabolic and nonmetabolic diseases and mortality. FLI is also used as an indicator for determining the effects of health-related prevention interventions, medications, and toxic substances on humans. Although in most cases, the exact mechanisms underlying these associations have not been fully elucidated, they are most often assumed to be mediated by insulin resistance, inflammation, and oxidative stress. Thus, FLI may be a promising marker of metabolic health due to its multiple associations with parameters of physiological and pathological processes. In this context, the present review summarizes the data from currently available literature on the associations between FLI and biochemical variables and physiological functions. We believe that this review will be of interest to researchers working in this area and can provide new perspectives and directions for future studies on FLI.
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Affiliation(s)
- Anastasiya M Kaneva
- Institute of Physiology of Кomi Science Centre of the Ural Branch of the Russian Academy of Sciences, FRC Komi SC UB RAS, 50 Pervomayskaya str., 167982, Syktyvkar, Russia.
| | - Evgeny R Bojko
- Institute of Physiology of Кomi Science Centre of the Ural Branch of the Russian Academy of Sciences, FRC Komi SC UB RAS, 50 Pervomayskaya str., 167982, Syktyvkar, Russia
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10
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Guo Y, Hu Y, Yang J, Ma R, Zhang X, Guo H, Wang X, Li Y, Peng X, Zhang S, He J, Guo S. Validation of non-invasive indicators in the screening of metabolic dysfunction-associated fatty liver disease: a cross-sectional study among Uighurs in rural Xinjiang. Eur J Med Res 2023; 28:555. [PMID: 38042816 PMCID: PMC10693158 DOI: 10.1186/s40001-023-01536-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/17/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND Metabolic dysfunction-associated fatty liver disease (MAFLD) is the most common chronic liver disease in China. Our study aimed to evaluate the screening value of the fatty liver index (FLI), hepatic steatosis index (HSI), lipid accumulation product (LAP), visceral adiposity index (VAI), and Zhejiang University index (ZJU), as well as other single indicators for MAFLD. We aimed to find the optimal screening tool and its appropriate cut-off values for rural Uyghur adults. METHODS We completed a survey of 14,321 Uyghur adults in 51 groups in Kashgar, Xinjiang, in 2016 using a typical sampling method, with 12,794 patients ultimately included in statistical analyses. Fatty liver was diagnosed using ultrasonography. RESULTS The prevalence of fatty liver disease (FLD) and MAFLD was 16.73% and 16.55%, respectively, and the FLI, HSI, LAP, VAI, and ZJU were all independently associated with an increased risk of MAFLD. The areas under the receiver operating characteristic curves (AUCs) of the FLI for diagnosing MAFLD in men and women were 0.853 and 0.847, respectively. The AUCs of the body mass index (BMI) for diagnosing MAFLD in men and women were 0.850 and 0.852, respectively. Compared with other metabolic-related markers, FLI had the largest AUC. In men, the optimal cut-off values of FLI and BMI for diagnosing MAFLD were 45 (sensitivity 84.83%, specificity 69.57%) and 27.4 (sensitivity 78.47%, specificity 76.30%), respectively. In women, the optimal cut-off values of FLI and BMI for diagnosing MAFLD were 45 (sensitivity 80.11%, specificity 74.23%) and 28.0 (sensitivity 79.56%, specificity 75.41%), respectively. In men and women, an FLI score of < 30 ruled out MAFLD, while a score of ≥ 50 was a basis for diagnosis. CONCLUSION FLI and BMI had good screening ability for MAFLD and were superior to HSI, LAP, VAI, and ZJU in both sexes.
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Affiliation(s)
- Yanbo Guo
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China
| | - Yunhua Hu
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China
| | - Jing Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, 832000, China
- Department of NHC Key Laboratory of Prevention and Treatment of Central, Asia High Incidence Diseases, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, 832000, China
| | - Rulin Ma
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China
| | - Xianghui Zhang
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China
| | - Heng Guo
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China
| | - Xinping Wang
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China
| | - Yu Li
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China
| | - Xinyu Peng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, 832000, China
- Department of NHC Key Laboratory of Prevention and Treatment of Central, Asia High Incidence Diseases, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, 832000, China
| | - Shijie Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, 832000, China
- Department of NHC Key Laboratory of Prevention and Treatment of Central, Asia High Incidence Diseases, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, 832000, China
| | - Jia He
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China.
| | - Shuxia Guo
- Department of Public Health, Shihezi University School of Medicine, Suite 721, Beier Road, Shihezi, 832000, China.
- Department of NHC Key Laboratory of Prevention and Treatment of Central, Asia High Incidence Diseases, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, 832000, China.
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11
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Norouzi G, Nikdel S, Pirayesh E, Salimi Y, Amoui M, Haghighatkhah H, Ghodsi Rad MA, Javanijouni E, Khoshbakht S. Utility of 99mTc-Sestamibi Heart/Liver Uptake Ratio in Screening Nonalcoholic Fatty Liver Disease During Myocardial Perfusion Imaging. Cancer Biother Radiopharm 2023; 38:663-669. [PMID: 36576502 DOI: 10.1089/cbr.2022.0062] [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] [Indexed: 12/29/2022] Open
Abstract
Purpose: Nonalcoholic fatty liver disease (NAFLD) is the most common chronic hepatic disease worldwide, with functional impairment of the mitochondria occurring from early stages. Technetium-99m methoxy-isobutyl-isonitrile (99mTc-MIBI) is a lipophilic agent trapped in the mitochondria. This study aims to evaluate the utility of 99mTc-MIBI heart/liver uptake ratio in screening for NAFLD during myocardial perfusion imaging (MPI). Methods: Seventy eligible patients underwent a 2-d rest/stress 99mTc-MIBI scan with a 2-min planar image acquired in rest phase, at 30, 60, and 120 min postradiotracer administration. Heart/liver uptake ratio was calculated by placing identical regions of interest on the heart and liver dome. All patients underwent liver ultrasound and were allocated into groups A, having NAFLD; and B, healthy individuals without NAFLD. Results: Mean count per pixel heart/liver ratios gradually increased over time in either group; nonetheless the values were significantly higher in group A, regardless of acquisition timing; with the p-value equal to 0.007, 0.014, and 0.010 at 30, 60, and 120 min, respectively. Conclusion: Determining 99mTc-MIBI heart/liver uptake ratio during rest phase in patients undergoing MPI may be a useful, noninvasive screening method for NAFLD; with no additional cost, radiation burden, or adverse effects in these patients. Trial registration number: IR.SBMU.MSP.REC.1398.308.
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Affiliation(s)
- Ghazal Norouzi
- Department of Nuclear Medicine, Shohada-e Tajrish Medical Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Clinical Research Development Unit, Shohada-e Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sara Nikdel
- Department of Nuclear Medicine, Shohada-e Tajrish Medical Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elahe Pirayesh
- Department of Nuclear Medicine, Shohada-e Tajrish Medical Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Clinical Research Development Unit, Shohada-e Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Yazdan Salimi
- Biomedical Engineering and Medical Physics Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahasti Amoui
- Department of Nuclear Medicine, Shohada-e Tajrish Medical Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Clinical Research Development Unit, Shohada-e Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamidreza Haghighatkhah
- Clinical Research Development Unit, Shohada-e Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Diagnostic Imaging, Shohada-e Tajrish Medical Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Ghodsi Rad
- Department of Nuclear Medicine, Shohada-e Tajrish Medical Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Clinical Research Development Unit, Shohada-e Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elmira Javanijouni
- School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sepideh Khoshbakht
- Department of Nuclear Medicine, Shohada-e Tajrish Medical Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Clinical Research Development Unit, Shohada-e Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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12
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Kang SH, Yoo H, Cheon BK, Kim JP, Jang H, Kim HJ, Kang M, Oh K, Koh SB, Na DL, Chang Y, Seo SW. Sex-specific relationship between non-alcoholic fatty liver disease and amyloid-β in cognitively unimpaired individuals. Front Aging Neurosci 2023; 15:1277392. [PMID: 37901792 PMCID: PMC10603302 DOI: 10.3389/fnagi.2023.1277392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is known to be associated with a high risk of clinically diagnosed Alzheimer's disease (AD). Additionally, the prevalence of NAFLD and AD is higher in elderly females than in males. However, a sex-specific association between NAFLD and amyloid-beta (Aβ) deposition remains unclear. Therefore, we investigated the sex-specific relationship between NAFLD and Aβ deposition in a large-sized cohort of cognitively unimpaired (CU) individuals. Methods We enrolled 673 (410 [60.9%] females and 263 [39.1%] males) CU individuals aged ≥45 years who underwent Aβ positron emission tomography (PET). The presence of NAFLD, assessed using the hepatic steatosis index, and the severity of NAFLD, assessed using the Fibrosis-4 index, were considered predictors. Aβ deposition on PET was considered as an outcome. Results Females had a higher frequency of NAFLD than males (48 and 23.2%, p < 0.001). Among females, the presence of NAFLD (β = 0.216, p < 0.001) was predictive of increased Aβ deposition, whereas among males, the presence of NAFLD (β = 0.191, p = 0.064) was not associated with Aβ deposition. Among females, the presence of NAFLD with low (β = 0.254, p = 0.039), intermediate (β = 0.201, p = 0.006), and high fibrosis (β = 0.257, p = 0.027) was predictive of increased Aβ deposition. Aβ deposition also increased as the severity of NAFLD increased in females (p for trend = 0.001). Conclusion We highlight the marked influence of NAFLD and its severity on the risk of Aβ deposition in relation to sex. Furthermore, our findings suggest that sex-specific strategies regarding the management of NAFLD are necessary for the prevention of Aβ deposition.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Heejin Yoo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Bo Kyoung Cheon
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Mira Kang
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
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13
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Nomura T, Ono M, Kobayashi K, Akaiwa Y, Ayaki M, Ogi T, Ogi M, Takahashi H, Ishikawa K, Morishita A, Kobara H, Masaki T. Validation of fatty liver index as a predictor of hepatic steatosis in Asian populations: Impact of alcohol consumption and sex. Hepatol Res 2023; 53:968-977. [PMID: 37300349 DOI: 10.1111/hepr.13935] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/14/2023] [Accepted: 05/28/2023] [Indexed: 06/12/2023]
Abstract
AIM This study was undertaken to investigate the utility of the fatty liver index (FLI) as a noninvasive tool for predicting hepatic steatosis based on alcohol consumption and sex in a large Asian population. METHODS We carried out a single-center observational cohort study at the HITO Medical Center in Japan and enrolled 1976 Asian subjects. The subjects were categorized into nondrinkers and light drinkers (0-19 g/day) and moderate drinkers (20-59 g/day) based on their self-reported alcohol intake. We used physical examinations, laboratory tests, and a questionnaire to collect information on various factors related to the FLI, including body mass index, waist circumference, and levels of γ-glutamyl transferase and triglycerides. RESULTS The diagnostic accuracy of the FLI was assessed by calculating the area under the receiver operating characteristic curve (AUROC), and optimal cut-off values were determined using Youden's index. The FLI had an acceptable performance index of >0.7 both overall and in all subgroups, with an overall AUROC of 0.844. The AUROCs were higher in women and moderate drinkers of both sexes. We also compared the cut-off values obtained in the present study with the previously reported values of 30 and 60. Optimal cut-off values for the FLI were calculated for the total population and subgroups and were found to differ from the previously established values in other countries. CONCLUSIONS Our study suggests that the FLI is a useful noninvasive marker for predicting hepatic steatosis in a large Asian population, irrespective of alcohol consumption and sex.
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Affiliation(s)
- Takako Nomura
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Japan
| | - Masafumi Ono
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
- Division of Innovative Medicine for Hepatobiliary and Pancreatology, Faculty of Medicine, Kagawa University, Kita-gun, Japan
| | - Kiyoyuki Kobayashi
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
- Division of Innovative Medicine for Hepatobiliary and Pancreatology, Faculty of Medicine, Kagawa University, Kita-gun, Japan
| | - Yuzuru Akaiwa
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
| | - Maki Ayaki
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Japan
| | - Tomohiro Ogi
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
| | - Maki Ogi
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
| | - Hirokazu Takahashi
- Liver Center, Saga University Hospital, Faculty of Medicine, Saga University, Saga, Japan
| | - Kayo Ishikawa
- Department of Gastroenterology and Hepatology, HITO Medical Center, Shikokutyuou, Japan
| | - Asahiro Morishita
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Japan
| | - Hideki Kobara
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Japan
| | - Tsutomu Masaki
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Japan
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Demir M, Bornstein SR, Mantzoros CS, Perakakis N. Liver fat as risk factor of hepatic and cardiometabolic diseases. Obes Rev 2023; 24:e13612. [PMID: 37553237 DOI: 10.1111/obr.13612] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 06/26/2023] [Accepted: 07/10/2023] [Indexed: 08/10/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a disorder characterized by excessive accumulation of fat in the liver that can progress to liver inflammation (non-alcoholic steatohepatitis [NASH]), liver fibrosis, and cirrhosis. Although most efforts for drug development are focusing on the treatment of the latest stages of NAFLD, where significant fibrosis and NASH are present, findings from studies suggest that the amount of liver fat may be an important independent risk factor and/or predictor of development and progression of NAFLD and metabolic diseases. In this review, we first describe the current tools available for quantification of liver fat in humans and then present the clinical and pathophysiological evidence that link liver fat with NAFLD progression as well as with cardiometabolic diseases. Finally, we discuss current pharmacological and non-pharmacological approaches to reduce liver fat and present open questions that have to be addressed in future studies.
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Affiliation(s)
- Münevver Demir
- Department of Hepatology and Gastroenterology, Campus Virchow Clinic and Campus Charité Mitte, Charité University Medicine, Berlin, Germany
| | - Stefan R Bornstein
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden (PLID), Helmholtz Center Munich, University Hospital and Faculty of Medicine, TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Diabetes and Nutritional Sciences, King's College London, London, UK
| | - Christos S Mantzoros
- Division of Endocrinology, Boston VA Healthcare System and Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, 02215, USA
| | - Nikolaos Perakakis
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden (PLID), Helmholtz Center Munich, University Hospital and Faculty of Medicine, TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
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15
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Zou H, Ma X, Zhang F, Xie Y. Comparison of the diagnostic performance of twelve noninvasive scores of metabolic dysfunction-associated fatty liver disease. Lipids Health Dis 2023; 22:145. [PMID: 37674196 PMCID: PMC10481547 DOI: 10.1186/s12944-023-01902-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 08/11/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND The absence of distinct symptoms in the majority of individuals with metabolic dysfunction-associated fatty liver disease (MAFLD) poses challenges in identifying those at high risk, so we need simple, efficient and cost-effective noninvasive scores to aid healthcare professionals in patient identification. While most noninvasive scores were developed for the diagnosis of nonalcoholic fatty liver disease (NAFLD), consequently, the objective of this study was to systematically assess the diagnostic ability of 12 noninvasive scores (METS-IR/TyG/TyG-WC/TyG-BMI/TyG-WtHR/VAI/HSI/FLI/ZJU/FSI/K-NAFLD) for MAFLD. METHODS The study recruited eligible participants from two sources: the National Health and Nutrition Examination Survey (NHANES) 2017-2020.3 cycle and the database of the West China Hospital Health Management Center. The performance of the model was assessed using various metrics, including area under the receiver operating characteristic curve (AUC), net reclassification index (NRI), integrated discrimination improvement (IDI), decision curve analysis (DCA), and subgroup analysis. RESULTS A total of 7398 participants from the NHANES cohort and 4880 patients from the Western China cohort were included. TyG-WC had the best predictive power for MAFLD risk in the NHANES cohort (AUC 0.863, 95% CI 0.855-0.871), while TyG-BMI had the best predictive ability in the Western China cohort (AUC 0.903, 95% CI 0.895-0.911), outperforming other models, and in terms of IDI, NRI, DCA, and subgroup analysis combined, TyG-WC remained superior in the NAHANES cohort and TyG-BMI in the Western China cohort. CONCLUSIONS TyG-BMI demonstrated satisfactory diagnostic efficacy in identifying individuals at a heightened risk of MAFLD in Western China. Conversely, TyG-WC exhibited the best diagnostic performance for MAFLD risk recognition in the United States population. These findings suggest the necessity of selecting the most suitable predictive models based on regional and ethnic variations.
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Affiliation(s)
- Haoxuan Zou
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Xiaopu Ma
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China
| | - Fan Zhang
- Health Management Center, West China Hospital, General Practice Medical Center, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
| | - Yan Xie
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
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Otsubo N, Fukuda T, Cho G, Ishibashi F, Yamada T, Monzen K. Utility of Indices Obtained during Medical Checkups for Predicting Fatty Liver Disease in Non-obese People. Intern Med 2023; 62:2307-2319. [PMID: 36517035 PMCID: PMC10484762 DOI: 10.2169/internalmedicine.1097-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 10/31/2022] [Indexed: 12/15/2022] Open
Abstract
Objective To predict fatty liver disease (FLD), including nonalcoholic FLD (NAFLD) and metabolic dysfunction-associated FLD (MAFLD), from blood tests and anthropometric measurements, the fatty liver index (FLI) and triglyceride glucose-body mass index (TyG-BMI) have been reported as promising indicators. We evaluated the predictive ability of several indices, including the waist circumference, BMI, FLI and TyG-BMI, that might predict FLD in non-obese individuals undergoing health checkups. Methods This retrospective observational study enrolled non-obese subjects who underwent abdominal ultrasonography between May 1, 2015, and June 30, 2022. Obesity was defined as a BMI <25 kg/m2. FLD was diagnosed by abdominal ultrasonography. Using a receiver operating characteristic analysis, we examined the predictive validity of indices for NAFLD and MAFLD by calculating the area under the curve (AUC). Results Of the 24,825 subjects (mean age 44.3±10.0 years old; 54% men) enrolled in this examination of the association of indices, including FLI and TyG-BMI, with NAFLD, NAFLD was diagnosed in 3,619 (27%) men and 733 (6%) women. In both men and women, the FLI and TyG-BMI had significantly higher AUC values for NAFLD prediction than the other indicators (FLI: 0.786 for men and 0.875 for women, TyG-BMI: 0.783 for men and 0.868 for women). In analyses of subjects with a BMI <23 kg/m2, the superiority of the FLI and TyG-BMI remained unchanged. The FLI and TyG-BMI also had significantly higher AUC values for MAFLD prediction than the other indicators. Conclusion The FLI and TyG-BMI had a particularly high predictive ability for NAFLD and MAFLD in non-obese subjects.
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Affiliation(s)
- Naoya Otsubo
- Shinjuku Tsurukame Clinic, Japan
- Department of Endocrinology and Metabolism, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, Japan
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Japan
| | - Tatsuya Fukuda
- Department of Endocrinology and Metabolism, Tokyo Metropolitan Health and Hospitals Corporation Okubo Hospital, Japan
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Japan
- Mirraza Shinjuku Tsurukame Clinic, Japan
| | - Genhin Cho
- Mirraza Shinjuku Tsurukame Clinic, Japan
| | - Fumiaki Ishibashi
- Department of Gastroenterology, International University of Health and Welfare Ichikawa Hospital, Japan
- Koganei Tsurukame Clinic, Japan
| | - Tetsuya Yamada
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Japan
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Hang Y, Lee C, Roman YM. Assessing the clinical utility of major indices for nonalcoholic fatty liver disease in East Asian populations. Biomark Med 2023; 17:445-454. [PMID: 37449859 PMCID: PMC10463214 DOI: 10.2217/bmm-2023-0172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is currently the most common form of chronic liver disease. The growing prevalence of NAFLD is strongly associated with the high incidence of metabolic syndrome. NAFLD affects as much as 19% of the US population with a disproportionate impact on minority racial groups such as Asian Americans. If not promptly managed, NAFLD may progress to more feared complications. Liver indices for NAFLD screening have been proposed but were often developed using study populations with different anthropometrics than patients of East Asian descent. This review compares the accuracy of five indices for NAFLD screening in Asian cohorts. The Fatty Liver Index performed well in multiple large-scale community studies, although other indices may be more suited for specific patient cohorts. This is important, as the utilization of liver indices could accelerate screening for NAFLD for early management and to reduce liver disease-related health disparities among Asian Americans.
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Affiliation(s)
- Yiwei Hang
- Virginia Commonwealth University School of Medicine, Richmond, 23298 VA, USA
| | - Christine Lee
- Virginia Commonwealth University School of Medicine, Richmond, 23298 VA, USA
| | - Youssef M Roman
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, 23298 VA, USA
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18
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Kim HN, Jeon HJ, Choi HG, Kwon IS, Rou WS, Lee JE, Lee TH, Kim SH, Lee BS, Shin KS, Lee HJ, Eun HS. CT-based Hounsfield unit values reflect the degree of steatohepatitis in patients with low-grade fatty liver disease. BMC Gastroenterol 2023; 23:77. [PMID: 36932382 PMCID: PMC10022198 DOI: 10.1186/s12876-023-02717-3] [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: 07/21/2022] [Accepted: 03/09/2023] [Indexed: 03/19/2023] Open
Abstract
BACKGROUND/AIMS Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide. Ultrasound, the most used tool for diagnosing NAFLD, is operator-dependent and shows suboptimal performance in patients with mild steatosis. However, few studies have been conducted on whether alternative noninvasive methods are useful for diagnosing mild hepatic steatosis. Also, little is known about whether noninvasive tests are useful for grading the severity of hepatic steatosis or the degree of intrahepatic inflammation. Therefore, we aimed to evaluate whether the HSI, the FLI and HU values in CT could be used to discriminate mild hepatic steatosis and to evaluate the severity of hepatic steatosis or the degree of intrahepatic inflammation in patients with low-grade fatty liver disease using liver biopsy as a reference standard. METHODS Demographic, laboratory, CT imaging, and histological data of patients who underwent liver resection or biopsy were analyzed. The performance of the HSI, HU values and the FLI for diagnosing mild hepatic steatosis was evaluated by calculating the area under the receiver operating characteristic curve. Whether the degree of hepatic steatosis and intrahepatic inflammation could be predicted using the HSI, HU values or the FLI was also analyzed. Moreover, we validate the results using magnetic resonance imaging proton density fat fraction as an another reference standard. RESULTS The AUROC for diagnosing mild hepatic steatosis was 0.810 (p < 0.001) for the HSI, 0.732 (p < 0.001) for liver HU value, 0.802 (p < 0.001) for the difference between liver and spleen HU value (L-S HU value) and 0.813 (p < 0.001) for the FLI. Liver HU and L-S HU values were negatively correlated with the percentage of hepatic steatosis and NAFLD activity score (NAS) and significantly different between steatosis grades and between NAS grades. The L-S HU value was demonstrated the good performance for grading the severity of hepatic steatosis and the degree of intrahepatic inflammation. CONCLUSIONS The HU values on CT are feasible for stratifying hepatic fat content and evaluating the degree of intrahepatic inflammation, and the HSI and the FLI demonstrated good performance with high sensitivity and specificity in diagnosing mild hepatic steatosis.
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Affiliation(s)
- Ha Neul Kim
- Department of Medical Sciences, Chungnam National University, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
- Brain Korea 21 FOUR Project for Medical Science, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
| | - Hong Jae Jeon
- Department of Internal Medicine, Chungnam National University Sejong Hospital, 20, Bodeum 7-Ro, Sejong, 30099, Republic of Korea
- Department of Internal Medicine, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - Hei Gwon Choi
- Brain Korea 21 FOUR Project for Medical Science, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
- Research Institute of Medical Sciences, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - In Sun Kwon
- Statistical Consultation of Clinical Trials Center, Chungnam National University Hospital, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - Woo Sun Rou
- Department of Internal Medicine, Chungnam National University Sejong Hospital, 20, Bodeum 7-Ro, Sejong, 30099, Republic of Korea
- Department of Internal Medicine, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - Jeong Eun Lee
- Department of Radiology, Chungnam National University Hospital, 282 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
- Department of Radiology, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - Tae Hee Lee
- Department of Biomedical Laboratory Science, Daegu Health College, Chang-Ui Building, 15 Yeongsong-Ro, Buk-Gu, Daegu, 41453, Republic of Korea
| | - Seok Hyun Kim
- Department of Internal Medicine, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
- Department of Internal Medicine, Chungnam National University Hospital, 282 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - Byung Seok Lee
- Department of Internal Medicine, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
- Department of Internal Medicine, Chungnam National University Hospital, 282 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - Kyung Sook Shin
- Department of Radiology, Chungnam National University Hospital, 282 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
- Department of Radiology, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea
| | - Hyun Jung Lee
- Department of Pathology, Chungnam National University Hospital, 282 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea.
- Department of Pathology, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea.
| | - Hyuk Soo Eun
- Department of Internal Medicine, Chungnam National University School of Medicine, 266 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea.
- Department of Internal Medicine, Chungnam National University Hospital, 282 Munwha-Ro, Jung-Gu, Daejeon, 35015, Republic of Korea.
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Okada A, Yamada G, Kimura T, Hagiwara Y, Yamaguchi S, Kurakawa KI, Nangaku M, Yamauchi T, Matsuyama Y, Kadowaki T. Diagnostic ability using fatty liver and metabolic markers for metabolic-associated fatty liver disease stratified by metabolic/glycemic abnormalities. J Diabetes Investig 2022; 14:463-478. [PMID: 36566480 PMCID: PMC9951571 DOI: 10.1111/jdi.13966] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/28/2022] [Accepted: 12/06/2022] [Indexed: 12/26/2022] Open
Abstract
AIMS/INTRODUCTION Although several noninvasive predictive markers for fatty liver and metabolic markers have been used for fatty liver prediction, whether such markers can also predict metabolic-associated fatty liver disease (MAFLD) remains unclear. We aimed to examine the ability of existing fatty liver or metabolic markers to predict MAFLD. MATERIALS AND METHODS Participants in a high-volume center in Tokyo were classified into groups with and without MAFLD, based on the presence of metabolic abnormalities and fatty liver diagnosed through abdominal ultrasonography, between 2008 and 2018. The diagnostic abilities of three fatty liver markers: fatty liver index (FLI), hepatic steatosis index (HSI), and lipid accumulation product (LAP), and three common metabolic markers: waist-to-height ratio (WHR), body mass index (BMI), and waist circumference (WC), for predicting MAFLD, were evaluated. Analyses stratified by MAFLD subtypes were performed. RESULTS Of 92,374 individuals, 19,392 (36.1%) had MAFLD. The diagnostic performances for MAFLD prediction, measured as c-statistics, for FLI, HSI, LAP, WHR, BMI, and WC were 0.906, 0.892, 0.878, 0.844, 0.877, and 0.878, respectively. Optimal cutoff values for diagnosing MAFLD for FLI, HSI, LAP, WHR, BMI, and WC were 20.3, 32.7, 20.0, 0.49, 22.9, and 82.1, respectively. Analyses stratified by MAFLD subtypes, based on BMI and metabolic/glycemic abnormalities, suggested that FLI and HSI had acceptable (c-statistics >0.700) diagnostic abilities throughout all the analyses. CONCLUSIONS All six markers were excellent predictors of MAFLD in diagnosing among the general population, with FLI and HSI particularly useful among all sub-populations.
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Affiliation(s)
- Akira Okada
- Department of Prevention of Diabetes and Lifestyle‐Related Diseases, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Gen Yamada
- Department of Biostatistics, School of Public Health, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Takeshi Kimura
- Center for Preventive MedicineSt Luke's International HospitalTokyoJapan
| | - Yasuhiro Hagiwara
- Department of Biostatistics, School of Public Health, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Satoko Yamaguchi
- Department of Prevention of Diabetes and Lifestyle‐Related Diseases, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Kayo Ikeda Kurakawa
- Department of Prevention of Diabetes and Lifestyle‐Related Diseases, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolism, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Yutaka Matsuyama
- Department of Biostatistics, School of Public Health, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Takashi Kadowaki
- Department of Prevention of Diabetes and Lifestyle‐Related Diseases, Graduate School of MedicineThe University of TokyoTokyoJapan,Department of Diabetes and Metabolism, Graduate School of MedicineThe University of TokyoTokyoJapan,Toranomon HospitalTokyoJapan
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20
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Irisin Is Related to Non-Alcoholic Fatty Liver Disease (NAFLD). Biomedicines 2022; 10:biomedicines10092253. [PMID: 36140354 PMCID: PMC9496390 DOI: 10.3390/biomedicines10092253] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/03/2022] [Accepted: 09/05/2022] [Indexed: 11/23/2022] Open
Abstract
Irisin is a cytokine involved in many metabolic pathways occurring, among others, in muscles, adipose tissue and liver. Thus, fluctuations in irisin levels are suggested to be related to metabolic diseases. Therefore, the purpose of our study was to evaluate whether irisin may be associated with non-alcoholic fatty liver disease (NAFLD). A total of 138 patients (70/68 male/female, mean age 65.61 ± 10.44 years) were enrolled in the study. The patients were assigned to the NAFLD group (n = 72, including 46 patients with type 2 diabetes (T2DM]) and the group without NAFLD (n = 66, 31 patients with T2DM). NAFLD was diagnosed based on ultrasound examination, Hepatic Steatosis Index (HSI) and Fatty Liver Index. Baseline anthropometric, blood pressure and biochemical parameters were collected. The serum irisin level was determined using an ELISA test. We observed that NAFLD was associated with an increased concentration of irisin. Moreover, Spearman correlations and linear regression analysis revealed that irisin level correlates with some anthropometric and biochemical parameters such as body mass index, glycated hemoglobin, aspartic aminotransferase, creatinine and urea. Logistic regression analysis depicted that odds for NAFLD increase 1.17 times for each 1 μg/mL rise of irisin concentration. Finally, ROC analysis showed that the concentration of irisin possesses a discriminate capacity for NAFLD and optimal cut points concentration could be designed. The risk of NAFLD in the subgroup with irisin concentration above 3.235 μg/mL was 4.57 times higher than in patients with the lower concentration of irisin. To conclude, the obtained results suggest that irisin concentration is associated with some anthropometric and biochemical parameters and should be further investigated toward its usage as a diagnostic biomarker of NAFLD.
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21
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Han AL, Lee HK. Comparison of the Diagnostic Performance of Steatosis Indices for Discrimination of CT-Diagnosed Metabolic Dysfunction-Associated Fatty Liver Disease. Metabolites 2022; 12:664. [PMID: 35888788 PMCID: PMC9323223 DOI: 10.3390/metabo12070664] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/16/2022] [Accepted: 07/18/2022] [Indexed: 12/24/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) was redefined as metabolic dysfunction-associated fatty liver disease (MAFLD) in 2020. Due to this, further validation of the non-invasive tests used in NAFLD diagnosis is required for MAFLD. There are five known steatosis indices for computed tomography (CT)-diagnosed MAFLD. These indices include the fatty liver index (FLI), the hepatic steatosis index (HSI), the lipid accumulation product (LAP), the visceral adiposity index (VAI), and the Zhejiang University index (ZJU). We aimed to analyze the diagnostic abilities of these five widely known steatosis indices for CT-diagnosed MAFLD. From March 2012 to October 2019, we retrospectively analyzed the clinical information and images of 1300 adults aged ≥19 years who underwent CT scans at our institution. To compare differences, the Chi-square test and independent t-test were used for categorical and continuous variables, respectively. The area under the receiver operating characteristic (AUROC) curve was used to validate the diagnostic accuracy of MAFLD. Of the five indices, FLI was the best at predicting MAFLD, with the highest AUROC (0.791). The sensitivity and specificity of FLI for diagnosing MAFLD were both 70.9%. The optimal cut-off value was 29.9. FLI is a useful surrogate index for screening MAFLD in clinical practice.
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Affiliation(s)
- A. Lum Han
- Department of Family Medicine, Wonkwang University Hospital, 895 Muwang-ro, Iksan 54538, Korea;
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22
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Takahashi S, Tanaka M, Higashiura Y, Mori K, Hanawa N, Ohnishi H, Furuhashi M. Prediction and validation of nonalcoholic fatty liver disease by fatty liver index in a Japanese population. Endocr J 2022; 69:463-471. [PMID: 34803123 DOI: 10.1507/endocrj.ej21-0563] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Fatty liver index (FLI) calculated by using body mass index (BMI), waist circumference and levels of γ-glutamyl transferase and triglycerides is a non-invasive predictor of nonalcoholic fatty liver disease (NAFLD). The original study in Italy showed that the cutoff level for prediction of NAFLD was FLI ≥60. However, the sex difference in FLI was not taken into consideration, and it is unclear whether the cutoff value can be applied to other races. We investigated the cutoff value of FLI for prediction of NAFLD determined by abdominal ultrasonography using receiver operating characteristic curve analyses in 14,471 Japanese subjects (men/women: 9,240/5,231; mean age: 48 ± 9 years). There was a significant interaction between sex and FLI for detection of NAFLD (p < 0.001). The cutoff values of FLI in men and women were 35.1 (area under the curve [AUC]: 0.82) and 15.6 (AUC: 0.91), respectively. When the subjects were divided by the absence and presence of obesity (BMI ≥25), there was a significant interaction between FLI and obesity for detection of NAFLD in women (p < 0.001) but not in men (p = 0.679). The cutoff values of FLI in non-obese/obese men and women were 22.6/52.6 and 11.2/33.2, respectively. In conclusion, the cutoff value of FLI for prediction of NAFLD in Japanese individuals was lower than that in the original study, and there is a significant sex difference. The simple and useful cutoff values in Japanese men and women are FLI ≥35 (non-obese/obese: 23/53) and FLI ≥16 (non-obese/obese: 11/33), respectively.
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Affiliation(s)
- Satoko Takahashi
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Marenao Tanaka
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Yukimura Higashiura
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Kazuma Mori
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
- Department of Internal Medicine, Japan Self-Defense Forces Sapporo Hospital, Sapporo, Japan
| | - Nagisa Hanawa
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Hirofumi Ohnishi
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
- Department of Public Health, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Masato Furuhashi
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
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Han JE, Shin HB, Ahn YH, Cho HJ, Cheong JY, Park B, Kim SS. Relationship between the dynamics of non-alcoholic fatty liver disease and incident diabetes mellitus. Sci Rep 2022; 12:2538. [PMID: 35169195 PMCID: PMC8847663 DOI: 10.1038/s41598-022-06205-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 01/19/2022] [Indexed: 02/07/2023] Open
Abstract
The aim of the current study was to evaluate the association between changes in non-alcoholic fatty liver disease (NAFLD) over time and risk of incident diabetes mellitus (DM). In total, 3047 subjects without underlying DM were followed up for 14 years from the Anseong-Ansan cohort. NAFLD status was determined biennially using the hepatic steatosis index (HSI), and subjects were clustered into seven groups according to changes in HSI, body mass index (BMI), and homeostatic model assessment of insulin resistance (HOMA-IR): none, persistent, transient, transient resolved, resolved, incident, and recurrent NAFLD (Groups 1-7, respectively). Predictive abilities were compared between the dynamics of HSI and single time points. Regarding the changes in HSI, the risk of incident DM was highest in Group 2 (hazard ratio [HR] 2.710; P < 0.001), followed by Groups 7 (HR 2.062; P < 0.001) and 3 (HR 1.559; P = 0.027). The predictive ability for DM was powerful in order of HOMA-IR, HSI and BMI. The dynamics of NAFLD were less predictive of incident DM than single time-point NAFLD. In conclusion, NAFLD is more useful than BMI in predicting incident DM. However, NAFLD status at single time points can better predict incident DM than dynamic changes in HSI.
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Affiliation(s)
- Ji Eun Han
- Department of Gastroenterology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea
| | - Han-Bit Shin
- Office of Biostatistics, Ajou Research Institute for Innovation Medicine, Ajou University Medical Center, Suwon, Republic of Korea
| | - Young Hwan Ahn
- Department of Gastroenterology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea
| | - Hyo Jung Cho
- Department of Gastroenterology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea
| | - Jae Youn Cheong
- Department of Gastroenterology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea
| | - Bumhee Park
- Office of Biostatistics, Ajou Research Institute for Innovation Medicine, Ajou University Medical Center, Suwon, Republic of Korea
- Departments of Biomedical Informatics, Ajou Research Institute for Innovative Medicine, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Soon Sun Kim
- Department of Gastroenterology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, Republic of Korea.
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24
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Khani V, Momeni Moghaddam A, Hatami B. Comparison of hepatic steatosis index as noninvasive diagnostic tool and liver ultrasound for non-alcoholic steatosis in the adult population. GASTROENTEROLOGY AND HEPATOLOGY FROM BED TO BENCH 2022; 15:360-365. [PMID: 36762218 PMCID: PMC9876765 DOI: 10.22037/ghfbb.v15i4.2480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/01/2022] [Indexed: 02/11/2023]
Abstract
Aim This study aimed to evaluate hepatic steatosis index (HSI) as a non-invasive tool in diagnosing and predicting nonalcoholic fatty liver disease (NAFLD) and to compare it with abdominal ultrasound as the gold standard tool. Background NAFLD is a general term attributed to the deposition of adipose tissue in the liver leading to hepatitis, fibrosis, cirrhosis, and also hepatocellular carcinoma (HCC). Rapid and valid screening can remarkably prevent the progression of this disease. Methods A total of 464 people were included in the present study based on inclusion criteria. Patients were evaluated for body mass index (BMI), AST, ALT, and ALP indices. The liver echogenicity of patients was evaluated by abdominal ultrasound technique. Results The results showed that out of 464 people included in the study, 32.33% represented fatty liver. It was found that 79.1% of patients were female. There was no significant difference between the two groups in terms of age. Furthermore, it was found that ALT, AST, and ALP levels were significantly increased in the two groups of patients compared to the control group. It was determined that out of 150 patients, 75.3% were grade I and 24.7% were grade II NAFLD cases; no grade III cases were observed. The mean HSI for the NAFLD- group was 35.51±5.72 and for the NAFLD+ group was 42.84±5.70, a significant difference. The receiver operating characteristic (ROC) curve also showed that the area under the curve (AUC) of HSI was 0.833 (95% CI, 0.796-0.870) for detecting NAFLD patients. At the cutoff point of > 36.0, the sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were 88.7% (95% CI, 82.5-92.5), 63.4% (95% CI, 57.9-68.5), 92.1%, and 53.6%, respectively. Pearson correlation showed a direct and significant correlation between ultrasound data and HSI values. Conclusion Overall, the present study results showed that HSI as a non-invasive and non-imaging tool can diagnose NAFLD.
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Affiliation(s)
- Vahid Khani
- Department of Radiology, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amin Momeni Moghaddam
- Department of Radiology, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Behzad Hatami
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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25
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Tan LJ, Jung H, Kim SA, Shin S. The Association Between Coffee Consumption and Nonalcoholic Fatty Liver Disease in the South Korean General Population. Mol Nutr Food Res 2021; 65:e2100356. [PMID: 34319647 DOI: 10.1002/mnfr.202100356] [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: 04/15/2021] [Revised: 07/12/2021] [Indexed: 12/30/2022]
Abstract
SCOPE To identify the cross-sectional and prospective association between coffee consumption and nonalcoholic fatty liver disease (NAFLD) among South Korean adults. METHODS AND RESULTS Participants are selected from the Health Examinees study. NAFLD is defined using three non-invasive indexes: fatty liver index (FLI), hepatic steatosis index, and fibrosis-4 calculator (FIB-4). In the cross-sectional analysis, higher habitual coffee consumption is associated with a lower risk for NAFLD, define using the FLI, (men, odds ratio [OR] 0.702; women, OR 0.810) compared with non-consumers. Participants who consumed coffee with sugar and creamer also have a lower risk for NAFLD, defined using the FIB-4, compared with non-coffee-consumers (men, OR 0.739; women, OR 0.807). A prospective analysis indicated that higher coffee consumption is associated with a lower incidence of NAFLD, defined using the FLI, in men (hazard ratio, 0.706). In both men and women, a lower FIB-4 index score is associated with higher coffee consumption regardless of coffee type (all p-value <0.05). CONCLUSIONS Coffee consumption of >3 cups per day has a protective effect against the development of NAFLD to a certain extent, and a negative association is found between coffee consumed with sugar and creamer and the FIB-4 index score in South Korean adults.
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Affiliation(s)
- Li-Juan Tan
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do, 17546, South Korea
| | - Hyein Jung
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do, 17546, South Korea
| | - Seong-Ah Kim
- Department of Urban Society, The Seoul Institute, Seoul, 06756, South Korea
| | - Sangah Shin
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do, 17546, South Korea
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Perez-Diaz-del-Campo N, Riezu-Boj JI, Marin-Alejandre BA, Monreal JI, Elorz M, Herrero JI, Benito-Boillos A, Milagro FI, Tur JA, Abete I, Zulet MA, Martinez JA. Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study. Diagnostics (Basel) 2021; 11:1083. [PMID: 34199237 PMCID: PMC8231822 DOI: 10.3390/diagnostics11061083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/03/2021] [Accepted: 06/11/2021] [Indexed: 12/20/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) affects 25% of the global population. The pathogenesis of NAFLD is complex; available data reveal that genetics and ascribed interactions with environmental factors may play an important role in the development of this morbid condition. The purpose of this investigation was to assess genetic and non-genetic determinants putatively involved in the onset and progression of NAFLD after a 6-month weight loss nutritional treatment. A group of 86 overweight/obese subjects with NAFLD from the Fatty Liver in Obesity (FLiO) study were enrolled and metabolically evaluated at baseline and after 6 months. A pre-designed panel of 95 genetic variants related to obesity and weight loss was applied and analyzed. Three genetic risk scores (GRS) concerning the improvement on hepatic health evaluated by minimally invasive methods such as the fatty liver index (FLI) (GRSFLI), lipidomic-OWLiver®-test (GRSOWL) and magnetic resonance imaging (MRI) (GRSMRI), were derived by adding the risk alleles genotypes. Body composition, liver injury-related markers and dietary intake were also monitored. Overall, 23 SNPs were independently associated with the change in FLI, 16 SNPs with OWLiver®-test and 8 SNPs with MRI, which were specific for every diagnosis tool. After adjusting for gender, age and other related predictors (insulin resistance, inflammatory biomarkers and dietary intake at baseline) the calculated GRSFLI, GRSOWL and GRSMRI were major contributors of the improvement in hepatic status. Thus, fitted linear regression models showed a variance of 53% (adj. R2 = 0.53) in hepatic functionality (FLI), 16% (adj. R2 = 0.16) in lipidomic metabolism (OWLiver®-test) and 34% (adj. R2 = 0.34) in liver fat content (MRI). These results demonstrate that three different genetic scores can be useful for the personalized management of NAFLD, whose treatment must rely on specific dietary recommendations guided by the measurement of specific genetic biomarkers.
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Affiliation(s)
- Nuria Perez-Diaz-del-Campo
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
| | - Jose I. Riezu-Boj
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
| | - Bertha Araceli Marin-Alejandre
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
| | - J. Ignacio Monreal
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Clinical Chemistry Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Mariana Elorz
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - José Ignacio Herrero
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Liver Unit, Clinica Universidad de Navarra, 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
| | - Alberto Benito-Boillos
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Fermín I. Milagro
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Josep A. Tur
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Research Group on Community Nutrition and Oxidative Stress, Balearic Islands Institute for Health Research (IDISBA), University of Balearic Islands-IUNICS, 07122 Palma, Spain
| | - Itziar Abete
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - M. Angeles Zulet
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - J. Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
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Performance of Fatty Liver Index in Identifying Non-Alcoholic Fatty Liver Disease in Population Studies. A Meta-Analysis. J Clin Med 2021; 10:jcm10091877. [PMID: 33925992 PMCID: PMC8123596 DOI: 10.3390/jcm10091877] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/22/2021] [Accepted: 04/23/2021] [Indexed: 02/06/2023] Open
Abstract
Background. Fatty liver index (FLI) is a non-invasive tool used to stratify the risk of non-alcoholic fatty liver disease (NAFLD) in population studies; whether it can be used to exclude or diagnose this disorder is unclear. We conducted a meta-analysis to assess the prevalence of NAFLD in each FLI class and the performance of FLI in detecting NAFLD. Methods. Four databases were searched until January 2021 (CRD42021231367). Original articles included were those reporting the performance of FLI and adopting ultrasound, computed tomography, or magnetic resonance as a reference standard. The numbers of subjects with NAFLD in FLI classes <30, 30–60, and ≥60, and the numbers of subjects classified as true/false positive/negative when adopting 30 and 60 as cut-offs were extracted. A random-effects model was used for pooling data. Results. Ten studies were included, evaluating 27,221 subjects without secondary causes of fatty liver disease. The prevalence of NAFLD in the three FLI classes was 14%, 42%, and 67%. Sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratio for positive results, likelihood ratio for negative results, and diagnostic odds ratio were 81%, 65%, 53%, 84%, 2.3, 0.3, and 7.8 for the lower cut-off and 44%, 90%, 67%, 76%, 4.3, 0.6, and 7.3 for the higher cut-off, respectively. A similar performance was generally found in studies adopting ultrasound versus other imaging modalities. Conclusions. FLI showed an adequate performance in stratifying the risk of NAFLD. However, it showed only weak evidence of a discriminatory performance in excluding or diagnosing this disorder.
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