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Abstract
Non-Alcoholic Fatty Liver Disease (NAFLD) refers to the accumulation of lipid laden vacuoles in hepatocytes, occurring in the context of visceral adiposity, insulin resistance and other features of the metabolic syndrome. Its more severe form (NASH, Non-Alcoholic Steatohepatitis) is becoming the leading aetiology of end-stage liver disease and hepatocellular carcinoma, and also contributes to cardiovascular disease, diabetes and extrahepatic malignancy. Management is currently limited to lifestyle modification and optimisation of the metabolic co-morbidities, with some of the drugs used for the latter also having shown some benefit for the liver. Licensed treatment modalities are currently lacking. A particular difficulty is the notorious heterogeneity of the patient population, which is poorly understood. A spectrum of disease severity associates in a non-linear way with a spectrum of severity of underlying metabolic factors. Heterogeneity of the liver in terms of mechanisms to cope with the metabolic and inflammatory stress and in terms of repair mechanisms, and a lack of knowledge hereof, further complicate the understanding of inter-individual variability. Genetic factors act as disease modifiers and potentially allow for some risk stratification, but also only explain a minor fraction of disease heterogeneity. Response to treatment shows a large variation in treatment response, again with little understanding of what is driving the absence of response in individual patients. Management can be tailored to patient's preferences in terms of diet modification, but tailoring treatment to knowledge on disease driving mechanisms in an individual patient is still in its infancy. Recent progress in analysing liver tissue as well as non-invasive tests hold, however, promise to rapidly improve our understanding of disease heterogeneity in NAFLD and provide individualised management.
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Affiliation(s)
- Sven M Francque
- Department of Gastroenterology Hepatology, Antwerp University Hospital, Drie Eikenstraat 655, B-2650, Edegem, Belgium.
- InflaMed Centre of Excellence, Laboratory for Experimental Medicine and Paediatrics, Translational Sciences in Inflammation and Immunology, Faculty of Medicine and Health Sciences, University of Antwerp, Universiteitsplein 1, B-2610, Wilrijk, Belgium.
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Wu N, Li J, Zhang J, Yuan F, Yu N, Zhang F, Li D, Wang J, Zhang L, Shi Y, He G, Ji G, Liu B. Waist circumference mediates the association between rs1260326 in GCKR gene and the odds of lean NAFLD. Sci Rep 2023; 13:6488. [PMID: 37081070 PMCID: PMC10119110 DOI: 10.1038/s41598-023-33753-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 04/18/2023] [Indexed: 04/22/2023] Open
Abstract
While non-alcoholic fatty liver disease (NAFLD) has been widely studied, the pathophysiology of lean NAFLD, the critical NAFLD subgroup, remains elusive. This study aimed to clarify the association between polymorphisms of GCKR, waist circumference, and the odds of lean NAFLD in the elderly Chinese Han population who live in the Zhangjiang community center of Shanghai, China. Three single nucleotide polymorphisms (SNPs), including rs1260326, rs780093, and rs780094, were genotyped in MassARRAY Analyzer. The association between SNPs with waist circumference in five genetic models was analyzed and rechecked by the logistic regression analysis. Mediation models were established to evaluate whether the waist circumstance can mediate the association between SNPs and lean NAFLD. In this study, the frequency of the C allele of rs1260326, rs780093, and rs780094 was significantly lower in lean NAFLD individuals than in lean non-NAFLD ones. The association between rs1260326 in GCKR and the odds of lean NAFLD was mediated via waist circumference after adjusting gender and age in the elderly Chinese Han population (β = 1.196, R2 = 0.043, p = 0.020). For the first time, this study examined the mediating effect of waist circumference on the association between rs1260326 in GCKR and the odds of lean NAFLD (β = 0.0515, 95% CI 0.0107-0.0900, p = 0.004). It may contribute to illustrating the pathogenesis of lean NAFLD and indicate that waist circumference management might improve lean NAFLD control.
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Affiliation(s)
- Na Wu
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jie Li
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Jing Zhang
- Department of Biochemistry and Molecular Biology, Capital Medical University, Beijing, 100069, China
| | - Fan Yuan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Ning Yu
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Fengwei Zhang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Dong Li
- Zhangjiang Community Health Service Center of Pudong New District, Shanghai, 201210, China
| | - Jianying Wang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Lei Zhang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Yi Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Guang He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Guang Ji
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
| | - Baocheng Liu
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
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Son H, Koo BK, Joo SK, Lee DH, Jang H, Park JH, Chang MS, Kim W. PNPLA3 genotypes modify the adverse effect of the total energy intake on high-risk nonalcoholic steatohepatitis development. Am J Clin Nutr 2023; 117:910-917. [PMID: 36878430 DOI: 10.1016/j.ajcnut.2023.02.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 02/07/2023] [Accepted: 02/27/2023] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND The relationship between diet and risk genotypes in nonalcoholic steatohepatitis (NASH) development and fibrosis progression in patients with nonalcoholic fatty liver disease (NAFLD) remains unclear. OBJECTIVE We aimed to investigate the effects of diet on NASH development and fibrosis progression in patients with NAFLD stratified by the PNPLA3 genotype. METHODS We performed a prospective study in a cohort of patients with biopsy-confirmed NAFLD. Histologic deterioration was obtained using serial transient elastography at every 1 or 2 y. The primary outcome was fibrosis progression, and the secondary outcome was development of high-risk NASH, defined as FibroScan-aspartate aminotransferase score ≥0.67 during the follow-up of patients with nonalcoholic fatty liver at the baseline. Dietary intake was evaluated using a semiquantitative food frequency questionnaire. RESULTS The primary outcome was observed in 42 (29.0%) of the 145 patients during a median follow-up of 49 mo; neither the total energy intake nor each macronutrient intake significantly affected the primary outcome occurrence. Conversely, the total energy intake (HR per 1-SD: 3.03; 95% CI: 1.31, 7.01) and the PNPLA3 rs738409 genotype [HR per 1 risk allele (G): 2.06; 95% CI: 1.11, 3.83)] were independent risk factors for high-risk NASH. The significant interaction between the total energy intake and PNPLA3 genotype was noted in developing high-risk NASH (P = 0.044). As the number of PNPLA3 risk alleles decreased, the effect of the total energy intake on high-risk NASH increased; the HR per 1-SD increment in total energy intake was 1.52 (95% CI: 0.42, 5.42), 3.54 (95% CI: 1.23, 10.18), and 8.27 (95% CI: 1.20, 57.23) for the GG, CG, and CC genotypes, respectively. CONCLUSIONS The total energy intake adversely affected the development of high-risk NASH in patients with biopsy-confirmed NAFLD. The effect was more prominent in patients without the PNPLA3 risk allele, highlighting the importance of personalized dietary interventions in NAFLD treatment.
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Affiliation(s)
- Heejun Son
- Division of Endocrinology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Bo Kyung Koo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea; Division of Endocrinology, Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Sae Kyung Joo
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Dong Hyeon Lee
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Heejoon Jang
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Jeong Hwan Park
- Department of Pathology, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Mee Soo Chang
- Department of Pathology, Seoul National University College of Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Won Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea.
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Exploring the Path of Mediterranean Diet, Non-Alcoholic Fatty Liver Disease (NAFLD) and Inflammation towards 10-Year Cardiovascular Disease (CVD) Risk: The ATTICA Study 10-Year Follow-Up (2002-2012). Nutrients 2022; 14:nu14122367. [PMID: 35745097 PMCID: PMC9229573 DOI: 10.3390/nu14122367] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/03/2022] [Accepted: 06/05/2022] [Indexed: 01/27/2023] Open
Abstract
Background: Non-alcoholic fatty liver disease (NAFLD) is the leading cause of liver disease, affecting ~30% of the population and increasing CVD. This study aimed to explore the direct, indirect and combined effects of Mediterranean diet, NAFLD and inflammation on the 10-year CVD risk in a healthy adult population. Methods: Using baseline and 10-year follow-up data from the ATTICA study, adherence to Mediterranean diet was measured using MedDietScore, and presence of NAFLD at baseline was assessed using the fatty liver index (FLI). Participants’ 10-year CVD outcomes were recorded and C-reactive protein (CRP) was used as a surrogate marker for inflammation. The direct and indirect roles of these factors were explored using logistic regression models and the pathways between them were analysed using a structural equation model (SEM). Results: NAFLD prevalence was 22.9% and its presence was 17% less likely for every unit increase in MedDietScore. NAFLD presence at baseline was associated with increased 10-year CVD incidence (39.4% vs. 14.5%, p = 0.002), but when adjusted for MedDietScore, NAFLD was not an independent predictor of 10-year CVD risk. MedDietScore was an independent protective factor of 10-year CVD risk (OR = 0.989, 95% CI: 0.847, 0.935), when adjusted for NAFLD at baseline, age, gender, sedentary lifestyle and other confounders. Further exploration using SEM showed that MedDietScore was associated with CVD risk directly even when inflammation as CRP was introduced as a potential mediator. Conclusion: FLI as a proxy measure of NAFLD is a strong predictor of 10-year CVD risk, and this prognostic relationship seems to be moderated by the level of adherence to Mediterranean diet. Adherence to Mediterranean diet remained an independent and direct CVD risk factor irrespective of NAFLD status and CRP.
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Abstract
Non-alcoholic fatty liver disease (NAFLD) was defined in 1980 and has the same histological characteristics as alcoholic liver disease except for alcohol consumption. After 40 years, the understanding of this disease is still imperfect. Without specific drugs available for treatment, the number of patients with NAFLD is increasing rapidly, and NAFLD currently affects more than one-quarter of the global population. NAFLD is mostly caused by a sedentary lifestyle and excessive energy intake of fat and sugar. To ameliorate or avoid NAFLD, people commonly replace high-fat foods with high-carbohydrate foods (especially starchy carbohydrates) as a way to reduce caloric intake and reach satiety. However, there are few studies that concentrate on the effect of carbohydrate intake on liver metabolism in patients with NAFLD, much fewer than the studies on fat intake. Besides, most of these studies are not systematic, which has made identification of the mechanism difficult. In this review, we collected and analysed data from studies on human and animal models and, surprisingly, found that carbohydrates and liver steatosis could be linked by inflammation. This review not only describes the effects of carbohydrates on NAFLD and body lipid metabolism but also analyses and predicts possible molecular pathways of carbohydrates in liver lipid synthesis that involve inflammation. Furthermore, the limitations of recent research and possible targets for regulating inflammation and lipogenesis are discussed. This review describes the effects of starchy carbohydrates, a nutrient signal, on NAFLD from the perspective of inflammation.
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Zhou H, Li C, Song W, Wei M, Cui Y, Huang Q, Wang Q. Increasing fasting glucose and fasting insulin associated with elevated bone mineral density-evidence from cross-sectional and MR studies. Osteoporos Int 2021; 32:1153-1164. [PMID: 33409590 DOI: 10.1007/s00198-020-05762-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 11/23/2020] [Indexed: 01/09/2023]
Abstract
UNLABELLED We performed a cross-sectional study using the National Health Examination and Nutrition Survey (NHANES) data and a Mendelian randomisation (MR) study using the GWAS summary statistics from European populations. The T2D-related indices (fasting plasma glucose (FPG), fasting insulin (FI), and insulin resistance (IR)) were found to associate with elevated bone mineral density (BMD). INTRODUCTION The known associations amongst FPG, FI, IR, and BMD remain inconsistent. This study aims to explore the abovementioned associations by using cross-sectional and MR designs. METHODS Data from adults aged ≥ 20 years (n = 7170) in four rounds of the U.S. NHANES (2005-2010 and 2013-2014) were analysed in this cross-sectional study. Multiple linear and logistic regression models were used for statistical analyses. A two-sample MR study was performed using the genome-wide association study summary statistics obtained from the Meta-analyses of Glucose and Insulin-related traits Consortium (n = 108,557) and Genetic Factors for Osteoporosis Consortium (n = 32,735) to examine the causality of the FI-BMD association. RESULTS Multiple linear regression revealed that FPG was positively associated with the BMDs at the hip, femur neck, and 1st lumbar spine (L1). Multiple logistic regressions revealed that FPG levels were associated with elevated BMDs at the hip and L1, and FI and IR levels were associated with elevated BMD at the hip. Patients with type 2 diabetes had higher hip BMD than those without diabetes. In the MR study, the lumbar spine BMD increased by 0.49 g/cm2 (95% confidence interval: 0.01, 0.97) in response to per unit increase in log-transformed FI. CONCLUSION Findings from our cross-sectional and MR studies revealed the associations between the studied diabetic indices and BMD measurements in the US and European adults.
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Affiliation(s)
- H Zhou
- MOE Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - C Li
- MOE Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - W Song
- MOE Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - M Wei
- MOE Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Y Cui
- MOE Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Q Huang
- Department of Rehabilitation Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Q Wang
- MOE Key Laboratory of Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Perez-Diaz-Del-Campo N, Marin-Alejandre BA, Cantero I, Monreal JI, Elorz M, Herrero JI, Benito-Boillos A, Riezu-Boj JI, Milagro FI, Tur JA, Martinez JA, Abete I, Zulet MA. Differential response to a 6-month energy-restricted treatment depending on SH2B1 rs7359397 variant in NAFLD subjects: Fatty Liver in Obesity (FLiO) Study. Eur J Nutr 2021; 60:3043-3057. [PMID: 33474638 DOI: 10.1007/s00394-020-02476-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/21/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE Non-alcoholic fatty liver disease (NAFLD) is worldwide recognized as the most common cause of chronic liver disease. Current NAFLD clinical management relies on lifestyle change, nevertheless, the importance of the genetic make-up on liver damage and the possible interactions with diet are still poorly understood. The aim of the study was to evaluate the influence of the SH2B1 rs7359397 genetic variant on changes in body composition, metabolic status and liver health after 6-month energy-restricted treatment in overweight/obese subjects with NAFLD. In addition, gene-treatment interactions over the course of the intervention were examined. METHODS The SH2B1 genetic variant was genotyped in 86 overweight/obese subjects with NAFLD from the FLiO study (Fatty Liver in Obesity study). Subjects were metabolically evaluated at baseline and at 6-months. Liver assessment included ultrasonography, Magnetic Resonance Imaging, elastography, a lipidomic test (OWL®-test) and specific blood liver biomarkers. Additionally, body composition, general biochemical markers and dietary intake were determined. RESULTS Both genotypes significantly improved their body composition, general metabolic status and liver health after following an energy-restricted strategy. Liver imaging techniques showed a greater decrease in liver fat content (- 44.3%, p < 0.001) and in serum ferritin levels (p < 0.001) in the carriers of the T allele after the intervention. Moreover, lipidomic analysis, revealed a higher improvement in liver status when comparing risk vs. no-risk genotype (p = 0.006 vs. p = 0.926, respectively). Gene-treatment interactions showed an increase in fiber intake and omega-3 fatty acid in risk genotype (p interaction = 0.056 and p interaction = 0.053, respectively), while a significant increase in MedDiet score was observed in both genotype groups (p = 0.020). Moreover, no-risk genotype presented a relevant decrease in hepatic iron as well as in MUFA intake (p = 0.047 and p = 0.034, respectively). CONCLUSION Subjects carrying the T allele of the rs7359397 polymorphism may benefit more in terms of hepatic health and liver status when prescribed an energy-restricted treatment, where a Mediterranean dietary pattern rich in fiber and other components such as omega-3 fatty acids might boost the benefits. TRIAL REGISTRATION The Fatty Liver in Obesity was approved by the Research Ethics Committee of the University of Navarra and retrospectively registered (NCT03183193; www.clinicaltrials.gov ); June 2017.
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Affiliation(s)
- Nuria Perez-Diaz-Del-Campo
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
| | - Bertha Araceli Marin-Alejandre
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
| | - Irene Cantero
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- 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
- Clinical Chemistry Department, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - Mariana Elorz
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - José Ignacio Herrero
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Liver Unit, Clínica 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
- Department of Radiology, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - Jose I Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
| | - Fermín I Milagro
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Biochemical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Josep A Tur
- Biochemical 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, University of Balearic Islands & Balearic Islands Institute for Health Research (IDISBA), 07122, Palma, Spain
| | - J Alfredo Martinez
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Biochemical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Itziar Abete
- Department of Nutrition, Food Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain.
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain.
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
- Biochemical 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 Sciences and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain.
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008, Pamplona, Spain.
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
- Biochemical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
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Hannon BA, Edwards CG, Thompson SV, Reeser GE, Burd NA, Holscher HD, Teran-Garcia M, Khan NA. Single Nucleotide Polymorphisms Related to Lipoprotein Metabolism Are Associated with Blood Lipid Changes following Regular Avocado Intake in a Randomized Control Trial among Adults with Overweight and Obesity. J Nutr 2020; 150:1379-1387. [PMID: 32195538 DOI: 10.1093/jn/nxaa054] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 11/05/2019] [Accepted: 02/17/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Avocados are rich in unsaturated fat and fiber; clinical trials have investigated their effects on metabolic disease. There is high variability in individual changes following avocado consumption, which may be in part due to individual genetic differences. OBJECTIVE Secondary analyses of the Persea americana for Total Health (PATH) Study were used to examine how single nucleotide polymorphisms (SNPs) impact blood lipid changes following a daily meal containing avocado compared with control. METHODS Adults (n = 115, 37% male) aged 25-45 y with overweight and obesity were randomly assigned to receive a daily isocaloric meal with (intervention) or without (control) a standardized amount (males: 175 g; females: 140 g) of avocado for 12 wk. Control meals were higher in saturated fat (17% of energy compared with 7%) and lower in fiber (4 g compared with 16 g) than intervention meals. Whole venous blood was taken at baseline and 12 wk to determine total cholesterol (TC), high-density lipoprotein (HDL) cholesterol, and triglyceride (TG) concentrations. Seventeen SNPs in 10 genes related to lipoprotein metabolism were genotyped. Effects of SNP, diet, and SNP-diet interactions were determined using general linear models. RESULTS No group-by-time effects were detected for changes in TC (P = 0.96), HDL cholesterol (P = 0.28), or TG (P = 0.06) over 12 wk. Three SNP-diet interactions were associated with final TC concentrations: ANGPTL3-rs10889337 (P = 0.01), ANGPTL4-rs2278236 (P = 0.02), and CD36-rs10499859 (P = 0.01). SNPs in GCKR and LPL were associated with TC changes (P = 0.01). The interaction between GCKR-rs1260326 and diet was such that C-homozygotes receiving avocado (n = 23) had final TC concentrations that were significantly lower than the C-homozygotes in the control group (n = 20) (P = 0.02). CONCLUSIONS Results from these exploratory analyses indicate that avocado consumption may help manage dyslipidemia in adults with overweight and obesity; however, effectiveness may differ by genetic profile. Understanding the role of genetic variation in variability following dietary intervention can potentially inform personalized nutrition recommendations.
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Affiliation(s)
- Bridget A Hannon
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Caitlyn G Edwards
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Sharon V Thompson
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ginger E Reeser
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Nicholas A Burd
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Hannah D Holscher
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Margarita Teran-Garcia
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Naiman A Khan
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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Meroni M, Longo M, Rustichelli A, Dongiovanni P. Nutrition and Genetics in NAFLD: The Perfect Binomium. Int J Mol Sci 2020; 21:ijms21082986. [PMID: 32340286 PMCID: PMC7215858 DOI: 10.3390/ijms21082986] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/19/2020] [Accepted: 04/21/2020] [Indexed: 02/06/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) represents a global healthcare burden since it is epidemiologically related to obesity, type 2 diabetes (T2D) and Metabolic Syndrome (MetS). It embraces a wide spectrum of hepatic injuries, which include simple steatosis, nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis and hepatocellular carcinoma (HCC). The susceptibility to develop NAFLD is highly variable and it is influenced by several cues including environmental (i.e., dietary habits and physical activity) and inherited (i.e., genetic/epigenetic) risk factors. Nonetheless, even intestinal microbiota and its by-products play a crucial role in NAFLD pathophysiology. The interaction of dietary exposure with the genome is referred to as 'nutritional genomics,' which encompasses both 'nutrigenetics' and 'nutriepigenomics.' It is focused on revealing the biological mechanisms that entail both the acute and persistent genome-nutrient interactions that influence health and it may represent a promising field of study to improve both clinical and health nutrition practices. Thus, the premise of this review is to discuss the relevance of personalized nutritional advices as a novel therapeutic approach in NAFLD tailored management.
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Affiliation(s)
- Marica Meroni
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Pad. Granelli, via F Sforza 35, 20122 Milan, Italy; (M.M.); (M.L.); (A.R.)
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milano, Italy
| | - Miriam Longo
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Pad. Granelli, via F Sforza 35, 20122 Milan, Italy; (M.M.); (M.L.); (A.R.)
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milano, Italy
| | - Alice Rustichelli
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Pad. Granelli, via F Sforza 35, 20122 Milan, Italy; (M.M.); (M.L.); (A.R.)
| | - Paola Dongiovanni
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Pad. Granelli, via F Sforza 35, 20122 Milan, Italy; (M.M.); (M.L.); (A.R.)
- Correspondence: ; Tel.: +39-02-5503-3467; Fax: +39-02-5503-4229
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