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Guo J, Luo S, Su Z, Fu J, Ma J, Zhong X, Zeng C, Huang J, Zhang W, Zhang Z, Zhu H, Li Y. Consumption Patterns of Sugar-Sweetened Beverages and Association with Undernutrition among Children Aged 9-17 Years in Guangzhou, China: A Cross-Sectional Study. Nutrients 2024; 16:650. [PMID: 38474778 DOI: 10.3390/nu16050650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
Globally, the high consumption levels of sugar-sweetened beverages (SSBs) and their effect on health have drawn significant attention. This study aimed to identify the consumption patterns of SSBs among children in rural areas of Guangzhou, China, and explore their association with undernutrition. A total of 1864 children aged 9-17 years old were included in this study. Demographics, lifestyle behaviors, and anthropometric and dietary information were collected. Factor analysis was used to identify patterns of SSBs, while nutritional status was assessed using Body Mass Index (BMI). Latent class analysis was used to establish dietary preference models. Log-binomial regression analysis was used to analyze the association between SSBs consumption patterns and undernutrition. The undernutrition prevalence in children was 14.54-19.94% in boys and 9.07% in girls. Three SSB consumption patterns were identified, including the plant protein pattern, dairy-containing pattern, and coffee pattern. Both medium-high (Q3) and the highest (Q4) scores in the dairy-containing pattern were positively associated with the risk of undernutrition, especially in boys. Furthermore, the highest scores in the plant protein pattern and coffee pattern were positively associated with the risk of undernutrition in children aged 9-10 years old. The dairy-containing pattern was a risk factor for undernutrition in children, especially for boys; the plant protein patterns and coffee patterns were risk factors for undernutrition in children aged 9-10 years old. The findings of the study can provide scientific evidence and policy recommendations for improving children's health conditions.
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Affiliation(s)
- Jiaying Guo
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
- Department of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Shiyun Luo
- Department of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Zheng Su
- School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Jinhan Fu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jie Ma
- School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Xuexin Zhong
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chunzi Zeng
- Department of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Jie Huang
- Department of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Weiwei Zhang
- Department of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Zhoubin Zhang
- Department of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Huilian Zhu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yan Li
- Department of Foodborne Diseases and Food Safety Risk Surveillance, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
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Ricklefs-Johnson K, Pikosky MA, Cifelli CJ, Fulgoni K, Fulgoni VL, Agarwal S. Assessment of Beverage Trends and Replacing Nondairy Caloric Beverages with Milk at Meals across Childhood Improves Intake of Key Nutrients at Risk of Inadequate Consumption: An NHANES Modeling Study. Curr Dev Nutr 2023; 7:102020. [PMID: 38035204 PMCID: PMC10681945 DOI: 10.1016/j.cdnut.2023.102020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/12/2023] [Accepted: 10/09/2023] [Indexed: 12/02/2023] Open
Abstract
Background Milk is a key source of important nutrients including the nutrients of public health concern. However, most Americans do not meet current (dairy) United States Department of Agriculture (USDA) dietary guideline recommendations, and the intake has been declining. Objective The aim of this study was to investigate milk and beverage intake trends and nutrient intakes from these products in United States children aged 6-18 y and to model the effect of isocaloric substitution of nondairy beverages with milk. Methods Data from National Health and Nutrition Examination Survey (NHANES) 2001-2018 for children age 6-8 (N = 4696), 9-13 (N = 8117) and 14-18 y (N = 8514) were used with milk and other beverage intakes determined from the first 24-h in-person dietary recall. Nutrient intake was determined using the NHANES cycle-specific total nutrient intake files. Nutrient modeling was performed by isocaloric substitution with milk of all nondairy beverages consumed during lunch and dinner meals combined. Sample-weighted analyses were performed using SAS 9.4. Results Between ages 6-8 and 14-18 y, daily intake of milk and flavored milk decreased by 10% and 62%, respectively, while daily intake of caloric beverages excluding milk increased by 96%. Daily intake from caloric beverages and milk combined decreased for fiber, protein, fat, saturated fat, calcium, magnesium, potassium, vitamin A, and vitamin D and increased for energy, carbohydrates, added sugars, and folate between ages 6-8 y and 14-18 y. Isocaloric substitution of all caloric nondairy beverages at meals with milk (using nutrient contribution of USDA milk, not further specified (NFS)) resulted in increases in protein, fat, saturated fat, calcium, magnesium, potassium, sodium, vitamin A, folate, vitamin B12, and vitamin D and decreases in carbohydrate, fiber, and added sugar. Conclusion These findings provide additional evidence to support dietary recommendations for milk, and efforts should be made on behalf of leading health professionals and childhood meal programs to highlight milk as a beverage of choice in children and adolescents.
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Liu Q, Chiavaroli L, Ayoub-Charette S, Ahmed A, Khan TA, Au-Yeung F, Lee D, Cheung A, Zurbau A, Choo VL, Mejia SB, de Souza RJ, Wolever TMS, Leiter LA, Kendall CWC, Jenkins DJA, Sievenpiper JL. Fructose-containing food sources and blood pressure: A systematic review and meta-analysis of controlled feeding trials. PLoS One 2023; 18:e0264802. [PMID: 37582096 PMCID: PMC10427023 DOI: 10.1371/journal.pone.0264802] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/30/2023] [Indexed: 08/17/2023] Open
Abstract
Whether food source or energy mediates the effect of fructose-containing sugars on blood pressure (BP) is unclear. We conducted a systematic review and meta-analysis of the effect of different food sources of fructose-containing sugars at different levels of energy control on BP. We searched MEDLINE, Embase and the Cochrane Library through June 2021 for controlled trials ≥7-days. We prespecified 4 trial designs: substitution (energy matched substitution of sugars); addition (excess energy from sugars added); subtraction (excess energy from sugars subtracted); and ad libitum (energy from sugars freely replaced). Outcomes were systolic and diastolic BP. Independent reviewers extracted data. GRADE assessed the certainty of evidence. We included 93 reports (147 trial comparisons, N = 5,213) assessing 12 different food sources across 4 energy control levels in adults with and without hypertension or at risk for hypertension. Total fructose-containing sugars had no effect in substitution, subtraction, or ad libitum trials but decreased systolic and diastolic BP in addition trials (P<0.05). There was evidence of interaction/influence by food source: fruit and 100% fruit juice decreased and mixed sources (with sugar-sweetened beverages [SSBs]) increased BP in addition trials and the removal of SSBs (linear dose response gradient) and mixed sources (with SSBs) decreased BP in subtraction trials. The certainty of evidence was generally moderate. Food source and energy control appear to mediate the effect of fructose-containing sugars on BP. The evidence provides a good indication that fruit and 100% fruit juice at low doses (up to or less than the public health threshold of ~10% E) lead to small, but important reductions in BP, while the addition of excess energy of mixed sources (with SSBs) at high doses (up to 23%) leads to moderate increases and their removal or the removal of SSBs alone (up to ~20% E) leads to small, but important decreases in BP in adults with and without hypertension or at risk for hypertension. Trial registration: Clinicaltrials.gov: NCT02716870.
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Affiliation(s)
- Qi Liu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Sabrina Ayoub-Charette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Tauseef A. Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Fei Au-Yeung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada
| | - Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada
| | - Vivian L. Choo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Russell J. de Souza
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada
| | - Thomas M. S. Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- INQUIS Clinical Research Ltd. (formerly GI Labs), Toronto, Ontario, Canada
| | - Lawrence A. Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - Cyril W. C. Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David J. A. Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
| | - John L. Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada
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Alexandropoulou I, Grammatikopoulou MG, Gkouskou KK, Pritsa AA, Vassilakou T, Rigopoulou E, Lindqvist HM, Bogdanos DP. Ceramides in Autoimmune Rheumatic Diseases: Existing Evidence and Therapeutic Considerations for Diet as an Anticeramide Treatment. Nutrients 2023; 15:nu15010229. [PMID: 36615886 PMCID: PMC9824311 DOI: 10.3390/nu15010229] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/03/2023] Open
Abstract
Autoimmune rheumatic diseases (AIRDs) constitute a set of connective tissue disorders and dysfunctions with akin clinical manifestations and autoantibody responses. AIRD treatment is based on a comprehensive approach, with the primary aim being achieving and attaining disease remission, through the control of inflammation. AIRD therapies have a low target specificity, and this usually propels metabolic disturbances, dyslipidemias and increased cardiovascular risk. Ceramides are implicated in inflammation through several different pathways, many of which sometimes intersect. They serve as signaling molecules for apoptosis, altering immune response and driving endothelial dysfunction and as regulators in the production of other molecules, including sphingosine 1-phosphate (S1P) and ceramide 1-phosphate (C1P). With lipid metabolism being severely altered in AIRD pathology, several studies show that the concentration and variety of ceramides in human tissues is altered in patients with rheumatic diseases compared to controls. As a result, many in vitro and some in vivo (animal) studies research the potential use of ceramides as therapeutic targets in rheumatoid arthritis (RA), ankylosing spondylitis, systemic lupus erythematosus, fibromyalgia syndrome, primary Sjögren's syndrome, systemic sclerosis, myositis, systemic vasculitis and psoriatic arthritis. Furthermore, the majority of ceramide synthesis is diet-centric and, as a result, dietary interventions may alter ceramide concentrations in the blood and affect health. Subsequently, more recently several clinical trials evaluated the possibility of distinct dietary patterns and nutrients to act as anti-ceramide regimes in humans. With nutrition being an important component of AIRD-related complications, the present review details the evidence regarding ceramide levels in patients with AIRDs, the results of anti-ceramide treatments and discusses the possibility of using medical nutritional therapy as a complementary anti-ceramide treatment in rheumatic disease.
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Affiliation(s)
- Ioanna Alexandropoulou
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece
| | - Maria G. Grammatikopoulou
- Department of Rheumatology and Clinical Immunology, University General Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, GR-41110 Larissa, Greece
| | - Kalliopi K. Gkouskou
- Laboratory of Biology, School of Medicine, National and Kapodistrian University of Athens, GR-11527 Athens, Greece
| | - Agathi A. Pritsa
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece
| | - Tonia Vassilakou
- Department of Public Health Policy, School of Public Health, University of West Attica, GR-11521 Athens, Greece
| | - Eirini Rigopoulou
- Department of Medicine and Research Laboratory of Internal Medicine, University Hospital of Larissa, Biopolis, GR-41222 Larissa, Greece
| | - Helen M. Lindqvist
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, P.O. Box 115, 40530 Gothenburg, Sweden
| | - Dimitrios P. Bogdanos
- Department of Rheumatology and Clinical Immunology, University General Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, GR-41110 Larissa, Greece
- Correspondence:
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Effect of Important Food Sources of Fructose-Containing Sugars on Inflammatory Biomarkers: A Systematic Review and Meta-Analysis of Controlled Feeding Trials. Nutrients 2022; 14:nu14193986. [PMID: 36235639 PMCID: PMC9572084 DOI: 10.3390/nu14193986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Fructose-containing sugars as sugar-sweetened beverages (SSBs) may increase inflammatory biomarkers. Whether this effect is mediated by the food matrix at different levels of energy is unknown. To investigate the role of food source and energy, we conducted a systematic review and meta-analysis of controlled trials on the effect of different food sources of fructose-containing sugars on inflammatory markers at different levels of energy control. Methods: MEDLINE, Embase, and the Cochrane Library were searched through March 2022 for controlled feeding trials ≥ 7 days. Four trial designs were prespecified by energy control: substitution (energy matched replacement of sugars); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced). The primary outcome was C-reactive protein (CRP). Secondary outcomes were tumour necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6). Independent reviewers extracted data and assessed risk of bias. GRADE assessed certainty of evidence. Results: We identified 64 controlled trials (91 trial comparisons, n = 4094) assessing 12 food sources (SSB; sweetened dairy; sweetened dairy alternative [soy]; 100% fruit juice; fruit; dried fruit; mixed fruit forms; sweetened cereal grains and bars; sweets and desserts; added nutritive [caloric] sweetener; mixed sources [with SSBs]; and mixed sources [without SSBs]) at 4 levels of energy control over a median 6-weeks in predominantly healthy mixed weight or overweight/obese adults. Total fructose-containing sugars decreased CRP in addition trials and had no effect in substitution, subtraction or ad libitum trials. No effect was observed on other outcomes at any level of energy control. There was evidence of interaction/influence by food source: substitution trials (sweetened dairy alternative (soy) and 100% fruit juice decreased, and mixed sources (with SSBs) increased CRP); and addition trials (fruit decreased CRP and TNF-α; sweets and desserts (dark chocolate) decreased IL-6). The certainty of evidence was moderate-to-low for the majority of analyses. Conclusions: Food source appears to mediate the effect of fructose-containing sugars on inflammatory markers over the short-to-medium term. The evidence provides good indication that mixed sources that contain SSBs increase CRP, while most other food sources have no effect with some sources (fruit, 100% fruit juice, sweetened soy beverage or dark chocolate) showing decreases, which may be dependent on energy control. Clinicaltrials.gov: (NCT02716870).
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Gout and Diet: A Comprehensive Review of Mechanisms and Management. Nutrients 2022; 14:nu14173525. [PMID: 36079783 PMCID: PMC9459802 DOI: 10.3390/nu14173525] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022] Open
Abstract
Gout is well known as an inflammatory rheumatic disease presenting with arthritis and abnormal metabolism of uric acid. The recognition of diet-induced systemic metabolic pathways have provided new mechanistic insights and potential interventions on gout progression. However, the dietary recommendations for gouty patients generally focus on food categories, with few simultaneous considerations of nutritional factors and systemic metabolism. It is worthwhile to comprehensively review the mechanistic findings and potential interventions of diet-related nutrients against the development of gout, including purine metabolism, urate deposition, and gouty inflammation. Although piecemeal modifications of various nutrients often provide incomplete dietary recommendations, understanding the role of nutritional factors in gouty development can help patients choose their healthy diet based on personal preference and disease course. The combination of dietary management and medication may potentially achieve enhanced treatment effects, especially for severe patients. Therefore, the role of dietary and nutritional factors in the development of gout is systematically reviewed to propose dietary modification strategies for gout management by: (1) reducing nutritional risk factors against metabolic syndrome; (2) supplementing with beneficial nutrients to affect uric acid metabolism and gouty inflammation; and (3) considering nutritional modification combined with medication supplementation to decrease the frequency of gout flares.
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Nicholson RJ, Norris MK, Poss AM, Holland WL, Summers SA. The Lard Works in Mysterious Ways: Ceramides in Nutrition-Linked Chronic Disease. Annu Rev Nutr 2022; 42:115-144. [PMID: 35584813 PMCID: PMC9399075 DOI: 10.1146/annurev-nutr-062220-112920] [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] [Indexed: 01/26/2023]
Abstract
Diet influences onset, progression, and severity of several chronic diseases, including heart failure, diabetes, steatohepatitis, and a subset of cancers. The prevalence and clinical burden of these obesity-linked diseases has risen over the past two decades. These metabolic disorders are driven by ectopic lipid deposition in tissues not suited for fat storage, leading to lipotoxic disruption of cell function and survival. Sphingolipids such as ceramides are among the most deleterious and bioactive metabolites that accrue, as they participate in selective insulin resistance, dyslipidemia, oxidative stress and apoptosis. This review discusses our current understanding of biochemical pathways controlling ceramide synthesis, production and action; influences of diet on ceramide levels; application of circulating ceramides as clinical biomarkers of metabolic disease; and molecular mechanisms linking ceramides to altered metabolism and survival of cells. Development of nutritional or pharmacological strategies to lower ceramides could have therapeutic value in a wide range of prevalent diseases.
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Affiliation(s)
- Rebekah J. Nicholson
- Department of Nutrition and Integrative Physiology, University of Utah College of Health, Salt Lake City, Utah, USA,Diabetes and Metabolism Research Center, University of Utah College of Medicine, Salt Lake City, Utah, USA
| | - Marie K. Norris
- Department of Nutrition and Integrative Physiology, University of Utah College of Health, Salt Lake City, Utah, USA,Diabetes and Metabolism Research Center, University of Utah College of Medicine, Salt Lake City, Utah, USA
| | - Annelise M. Poss
- Department of Nutrition and Integrative Physiology, University of Utah College of Health, Salt Lake City, Utah, USA,Diabetes and Metabolism Research Center, University of Utah College of Medicine, Salt Lake City, Utah, USA
| | - William L. Holland
- Department of Nutrition and Integrative Physiology, University of Utah College of Health, Salt Lake City, Utah, USA,Diabetes and Metabolism Research Center, University of Utah College of Medicine, Salt Lake City, Utah, USA
| | - Scott A. Summers
- Department of Nutrition and Integrative Physiology, University of Utah College of Health, Salt Lake City, Utah, USA,Diabetes and Metabolism Research Center, University of Utah College of Medicine, Salt Lake City, Utah, USA
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Sun X, Xue L, Wang Z, Xie A. Update to the Treatment of Parkinson's Disease Based on the Gut-Brain Axis Mechanism. Front Neurosci 2022; 16:878239. [PMID: 35873830 PMCID: PMC9299103 DOI: 10.3389/fnins.2022.878239] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 06/20/2022] [Indexed: 12/27/2022] Open
Abstract
Gastrointestinal (GI) symptoms represented by constipation were significant non-motor symptoms of Parkinson’s disease (PD) and were considered early manifestations and aggravating factors of the disease. This paper reviewed the research progress of the mechanism of the gut-brain axis (GBA) in PD and discussed the roles of α-synuclein, gut microbiota, immune inflammation, neuroendocrine, mitochondrial autophagy, and environmental toxins in the mechanism of the GBA in PD. Treatment of PD based on the GBA theory has also been discussed, including (1) dietary therapy, such as probiotics, vitamin therapy, Mediterranean diet, and low-calorie diet, (2) exercise therapy, (3) drug therapy, including antibiotics; GI peptides; GI motility agents, and (4) fecal flora transplantation can improve the flora. (5) Vagotomy and appendectomy were associated but not recommended.
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Affiliation(s)
- Xiaohui Sun
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Li Xue
- Recording Room, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zechen Wang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Anmu Xie
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
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Lee D, Chiavaroli L, Ayoub-Charette S, Khan TA, Zurbau A, Au-Yeung F, Cheung A, Liu Q, Qi X, Ahmed A, Choo VL, Blanco Mejia S, Malik VS, El-Sohemy A, de Souza RJ, Wolever TMS, Leiter LA, Kendall CWC, Jenkins DJA, Sievenpiper JL. Important Food Sources of Fructose-Containing Sugars and Non-Alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis of Controlled Trials. Nutrients 2022; 14:nu14142846. [PMID: 35889803 PMCID: PMC9325155 DOI: 10.3390/nu14142846] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Fructose providing excess calories in the form of sugar sweetened beverages (SSBs) increases markers of non-alcoholic fatty liver disease (NAFLD). Whether this effect holds for other important food sources of fructose-containing sugars is unclear. To investigate the role of food source and energy, we conducted a systematic review and meta-analysis of controlled trials of the effect of fructose-containing sugars by food source at different levels of energy control on non-alcoholic fatty liver disease (NAFLD) markers. Methods and Findings: MEDLINE, Embase, and the Cochrane Library were searched through 7 January 2022 for controlled trials ≥7-days. Four trial designs were prespecified: substitution (energy-matched substitution of sugars for other macronutrients); addition (excess energy from sugars added to diets); subtraction (excess energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced by other macronutrients). The primary outcome was intrahepatocellular lipid (IHCL). Secondary outcomes were alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Independent reviewers extracted data and assessed risk of bias. The certainty of evidence was assessed using GRADE. We included 51 trials (75 trial comparisons, n = 2059) of 10 food sources (sugar-sweetened beverages (SSBs); sweetened dairy alternative; 100% fruit juice; fruit; dried fruit; mixed fruit sources; sweets and desserts; added nutritive sweetener; honey; and mixed sources (with SSBs)) in predominantly healthy mixed weight or overweight/obese younger adults. Total fructose-containing sugars increased IHCL (standardized mean difference = 1.72 [95% CI, 1.08 to 2.36], p < 0.001) in addition trials and decreased AST in subtraction trials with no effect on any outcome in substitution or ad libitum trials. There was evidence of influence by food source with SSBs increasing IHCL and ALT in addition trials and mixed sources (with SSBs) decreasing AST in subtraction trials. The certainty of evidence was high for the effect on IHCL and moderate for the effect on ALT for SSBs in addition trials, low for the effect on AST for the removal of energy from mixed sources (with SSBs) in subtraction trials, and generally low to moderate for all other comparisons. Conclusions: Energy control and food source appear to mediate the effect of fructose-containing sugars on NAFLD markers. The evidence provides a good indication that the addition of excess energy from SSBs leads to large increases in liver fat and small important increases in ALT while there is less of an indication that the removal of energy from mixed sources (with SSBs) leads to moderate reductions in AST. Varying uncertainty remains for the lack of effect of other important food sources of fructose-containing sugars at different levels of energy control.
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Affiliation(s)
- Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Sabrina Ayoub-Charette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Tauseef A. Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- INQUIS Clinical Research Ltd. (Formerly GI Labs), Toronto, ON M5C 2N8, Canada
| | - Fei Au-Yeung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- INQUIS Clinical Research Ltd. (Formerly GI Labs), Toronto, ON M5C 2N8, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Qi Liu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Xinye Qi
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Vivian L. Choo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON M5G 1V7, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
| | - Vasanti S. Malik
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
| | - Russell J. de Souza
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
- Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, ON L8L 2X2, Canada
| | - Thomas M. S. Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- INQUIS Clinical Research Ltd. (Formerly GI Labs), Toronto, ON M5C 2N8, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Lawrence A. Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1T8, Canada
| | - Cyril W. C. Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
| | - David J. A. Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1T8, Canada
| | - John L. Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (D.L.); (L.C.); (S.A.-C.); (T.A.K.); (A.Z.); (F.A.-Y.); (A.C.); (Q.L.); (X.Q.); (A.A.); (V.L.C.); (S.B.M.); (V.S.M.); (A.E.-S.); (R.J.d.S.); (T.M.S.W.); (L.A.L.); (C.W.C.K.); (D.J.A.J.)
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael’s Hospital, Toronto, ON M5C 2T2, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1T8, Canada
- Correspondence: ; Tel.: +1-416-867-3732
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10
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Giussani M, Lieti G, Orlando A, Parati G, Genovesi S. Fructose Intake, Hypertension and Cardiometabolic Risk Factors in Children and Adolescents: From Pathophysiology to Clinical Aspects. A Narrative Review. Front Med (Lausanne) 2022; 9:792949. [PMID: 35492316 PMCID: PMC9039289 DOI: 10.3389/fmed.2022.792949] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 03/21/2022] [Indexed: 01/09/2023] Open
Abstract
Arterial hypertension, dyslipidemia, alterations in glucose metabolism and fatty liver, either alone or in association, are frequently observed in obese children and may seriously jeopardize their health. For obesity to develop, an excessive intake of energy-bearing macronutrients is required; however, ample evidence suggests that fructose may promote the development of obesity and/or metabolic alterations, independently of its energy intake. Fructose consumption is particularly high among children, because they do not have the perception, and more importantly, neither do their parents, that high fructose intake is potentially dangerous. In fact, while this sugar is erroneously viewed favorably as a natural nutrient, its excessive intake can actually cause adverse cardio-metabolic alterations. Fructose induces the release of pro-inflammatory cytokines, and reduces the production of anti-atherosclerotic cytokines, such as adiponectin. Furthermore, by interacting with hunger and satiety control systems, particularly by inducing leptin resistance, it leads to increased caloric intake. Fructose, directly or through its metabolites, promotes the development of obesity, arterial hypertension, dyslipidemia, glucose intolerance and fatty liver. This review aims to highlight the mechanisms by which the early and excessive consumption of fructose may contribute to the development of a variety of cardiometabolic risk factors in children, thus representing a potential danger to their health. It will also describe the main clinical trials performed in children and adolescents that have evaluated the clinical effects of excessive intake of fructose-containing drinks and food, with particular attention to the effects on blood pressure. Finally, we will discuss the effectiveness of measures that can be taken to reduce the intake of this sugar.
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Affiliation(s)
- Marco Giussani
- Cardiologic Unit, Istituto Auxologico Italiano, Istituto Ricovero Cura Carattere Scientifico (IRCCS), Milan, Italy
| | - Giulia Lieti
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Antonina Orlando
- Cardiologic Unit, Istituto Auxologico Italiano, Istituto Ricovero Cura Carattere Scientifico (IRCCS), Milan, Italy
| | - Gianfranco Parati
- Cardiologic Unit, Istituto Auxologico Italiano, Istituto Ricovero Cura Carattere Scientifico (IRCCS), Milan, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Simonetta Genovesi
- Cardiologic Unit, Istituto Auxologico Italiano, Istituto Ricovero Cura Carattere Scientifico (IRCCS), Milan, Italy.,School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
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11
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Ayoub-Charette S, Chiavaroli L, Liu Q, Khan TA, Zurbau A, Au-Yeung F, Cheung A, Ahmed A, Lee D, Choo VL, Blanco Mejia S, de Souza RJ, Wolever TM, Leiter LA, Kendall CW, Jenkins DJ, Sievenpiper JL. Different Food Sources of Fructose-Containing Sugars and Fasting Blood Uric Acid Levels: A Systematic Review and Meta-Analysis of Controlled Feeding Trials. J Nutr 2021; 151:2409-2421. [PMID: 34087940 PMCID: PMC8349131 DOI: 10.1093/jn/nxab144] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 04/11/2021] [Accepted: 04/21/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Although fructose as a source of excess calories increases uric acid, the effect of the food matrix is unclear. OBJECTIVES To assess the effects of fructose-containing sugars by food source at different levels of energy control on uric acid, we conducted a systematic review and meta-analysis of controlled trials. METHODS MEDLINE, Embase, and the Cochrane Library were searched (through 11 January 2021) for trials ≥ 7 days. We prespecified 4 trial designs by energy control: substitution (energy-matched replacement of sugars in diets); addition (excess energy from sugars added to diets); subtraction (energy from sugars subtracted from diets); and ad libitum (energy from sugars freely replaced in diets) designs. Independent reviewers (≥2) extracted data and assessed the risk of bias. Grading of Recommendations, Assessment, Development, and Evaluation was used to assess the certainty of evidence. RESULTS We included 47 trials (85 comparisons; N = 2763) assessing 9 food sources [sugar-sweetened beverages (SSBs), sweetened dairy, fruit drinks, 100% fruit juice, fruit, dried fruit, sweets and desserts, added nutritive sweetener, and mixed sources] across 4 energy control levels in predominantly healthy, mixed-weight adults. Total fructose-containing sugars increased uric acid levels in substitution trials (mean difference, 0.16 mg/dL; 95% CI: 0.06-0.27 mg/dL; P = 0.003), with no effect across the other energy control levels. There was evidence of an interaction by food source: SSBs and sweets and desserts increased uric acid levels in the substitution design, while SSBs increased and 100% fruit juice decreased uric acid levels in addition trials. The certainty of evidence was high for the increasing effect of SSBs in substitution and addition trials and the decreasing effect of 100% fruit juice in addition trials and was moderate to very low for all other comparisons. CONCLUSIONS Food source more than energy control appears to mediate the effects of fructose-containing sugars on uric acid. The available evidence provides reliable indications that SSBs increase and 100% fruit juice decreases uric acid levels. More high-quality trials of different food sources are needed. This trial was registered at clinicaltrials.gov as NCT02716870.
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Affiliation(s)
- Sabrina Ayoub-Charette
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Qi Liu
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Tauseef Ahmad Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,INQUIS Clinical Research Ltd. (formerly Glycemic Index Laboratories, Inc.), Toronto, Ontario, Canada
| | - Fei Au-Yeung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,INQUIS Clinical Research Ltd. (formerly Glycemic Index Laboratories, Inc.), Toronto, Ontario, Canada
| | - Annette Cheung
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Vivian L Choo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.,Population Health Research Institute, Hamilton Health Sciences Corporation, Hamilton, Ontario, Canada
| | - Thomas Ms Wolever
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,INQUIS Clinical Research Ltd. (formerly Glycemic Index Laboratories, Inc.), Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril Wc Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David Ja Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada.,Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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12
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Farhangi MA, Nikniaz L, Khodarahmi M. Sugar-sweetened beverages increases the risk of hypertension among children and adolescence: a systematic review and dose-response meta-analysis. J Transl Med 2020; 18:344. [PMID: 32891165 PMCID: PMC7487688 DOI: 10.1186/s12967-020-02511-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 08/27/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND In the current systematic review and meta-analysis, we summarized the studies that evaluated the effects of sugar-sweetened beverages (SSBs) intake on blood pressure among children and adolescents. METHODS In a systematic search from PubMed, Scopus, Embase and Cochrane electronic databases up to 20 April 2020, the observational studies that evaluated the association between sugar-sweetened beverages intake and hypertension, systolic or diastolic blood pressure (SBP, DBP) were retrieved. RESULTS A total of 14 studies with 93873 participants were included in the current meta-analysis. High SSB consumption was associated with 1.67 mmHg increase in SBP in children and adolescents (WMD: 1.67; CI 1.021-2.321; P < 0.001). The difference in DBP was not significant (WMD: 0.313; CI -0.131- 0.757; P = 0.108). High SSB consumers were 1.36 times more likely to develop hypertension compared with low SSB consumers (OR: 1.365; CI 1.145-1.626; P = 0.001). In dose-response meta-analysis, no departure from linearity was observed between SSB intake and change in SBP (P-nonlinearity = 0.707) or DBP (P-nonlinearity = 0.180). CONCLUSIONS According to our finding, high SSB consumption increases SBP and hypertension in children and adolescents.
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Affiliation(s)
| | - Leila Nikniaz
- Tabriz Health Services Management Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahdieh Khodarahmi
- Nutrition Research Center, Department of Community Nutrition, Faculty of Nutrition and Food Science, Tabriz University of Medical Sciences, Tabriz, Iran
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