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Rossi I, Mignogna C, Del Rio D, Mena P. Health effects of 100% fruit and vegetable juices: evidence from human subject intervention studies. Nutr Res Rev 2024; 37:194-238. [PMID: 37655747 DOI: 10.1017/s095442242300015x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
The health effects of 100% fruit and vegetable juices (FVJ) represent a controversial topic. FVJ contain notable amounts of free sugars, but also vitamins, minerals, and secondary compounds with proven biological activities like (poly)phenols and carotenoids. The review aimed to shed light on the potential impact of 100% FVJ on human subject health, comprehensively assessing the role each type of juice may have in specific health outcomes for a particular target population, as reported in dietary interventions. The effects of a wide range of FVJ (orange, grapefruit, mandarin, lemon, apple, white, red, and Concord grapes, pomegranate, cranberry, chokeberry, blueberry, other minor berries, sweet and tart cherry, plum, tomato, carrot, beetroot, and watermelon, among others) were evaluated on a series of outcomes (anthropometric parameters, body composition, blood pressure and vascular function, lipid profile, glucose homeostasis, biomarkers of inflammation and oxidative stress, cognitive function, exercise performance, gut microbiota composition and bacterial infections), providing a thorough picture of the contribution of each FVJ to a health outcome. Some juices demonstrated their ability to exert potential preventive effects on some outcomes while others on other health outcomes, emphasising how the differential composition in bioactive compounds defines juice effects. Research gaps and future prospects were discussed. Although 100% FVJ appear to have beneficial effects on some cardiometabolic health outcomes, cognition and exercise performance, or neutral effects on anthropometric parameters and body composition, further efforts are needed to better understand the impact of 100% FVJ on human subject health.
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Affiliation(s)
- Irene Rossi
- Human Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy
| | - Cristiana Mignogna
- Human Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy
| | - Daniele Del Rio
- Human Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy
| | - Pedro Mena
- Human Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy
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2
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Mumena WA, Kutbi HA. Sources of free sugar in the diet of Saudi children. Front Public Health 2024; 12:1305364. [PMID: 38660353 PMCID: PMC11041394 DOI: 10.3389/fpubh.2024.1305364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 02/19/2024] [Indexed: 04/26/2024] Open
Abstract
Introduction Data concerning sources of free sugar (FS) in the diet of Saudi children are limited. Identification of the top sources of FS would permit to develop tailored interventions that aid in meeting the recommendations of the World Health Organization for FS (≤ 25 g/day). This study aimed to investigate sources of FS in children's diet. Methods A cross-sectional data of healthy children ages between 6 and 12 years who reside in Saudi Arabia were gathered from their mothers using online platforms (WhatsApp, Facebook, and X) (n = 424; 210 boys and 214 girls). An interview was conducted through the phone with the mother and her child to collect data pertaining FS intake using a validated food frequency questionnaire. Results The primary sources of FS were Sweetened Beverages, followed by Sugars, Sweet Bakery Products, Other Desserts, and Candies, of which the added sugar consisted mostly of its total sugar. The consumption of FS coming from solid food sources for the highest quartile of children almost doubled the amount of FS coming from liquid food sources. Compared to boys, girls in the top quartile of FS intake consumed significantly higher amounts of solid sugars (p = 0.030). Only the intake of FS coming from Sweetened Beverages was associated negatively with age of children (p = 0.032). Discussion Public health interventions should emphasize the necessity of reducing the consumption of the top sources of FS to practically achieve the recommendations of FS intake.
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Affiliation(s)
- Walaa Abdullah Mumena
- Clinical Nutrition Department, College of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia
| | - Hebah Alawi Kutbi
- , Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
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3
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Skurk T, Bosy-Westphal A, Grünerbel A, Kabisch S, Keuthage W, Kronsbein P, Müssig K, Nussbaumer H, Pfeiffer AFH, Simon MC, Tombek A, Weber KS, Rubin D. Dietary Recommendations for Persons with Type 2 Diabetes Mellitus. Exp Clin Endocrinol Diabetes 2024; 132:182-215. [PMID: 38286422 DOI: 10.1055/a-2166-6772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Affiliation(s)
- Thomas Skurk
- ZIEL Institute for Food & Health, Technical University of Munich, Freising, Germany
| | - Anja Bosy-Westphal
- Institute of Human Nutrition, Faculty of Agriculture and Nutritional Sciences, Christian-Albrechts University of Kiel, Kiel, Germany
| | | | - Stefan Kabisch
- German Institute of Human Nutrition Potsdam-Rehbrücke, Potsdam, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Winfried Keuthage
- Specialist Practice for Diabetes and Nutritional Medicine, Münster, Germany
| | - Peter Kronsbein
- Faculty of Nutrition and Food Sciences, Niederrhein University of Applied Sciences, Mönchengladbach Campus, Mönchengladbach, Germany
| | - Karsten Müssig
- Department of Internal Medicine, Gastroenterology and Diabetology, Niels Stensen Hospitals, Franziskus Hospital Harderberg, Georgsmarienhütte, Germany
| | | | - Andreas F H Pfeiffer
- Department of Endocrinology, Diabetes and Nutritional Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marie-Christine Simon
- Institute of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Astrid Tombek
- Diabetes Centre Bad Mergentheim, Bad Mergentheim, Germany
| | - Katharina S Weber
- Institute for Epidemiology, Christian-Albrechts University of Kiel, Kiel, Germany
| | - Diana Rubin
- Vivantes Hospital Spandau, Berlin, Germany
- Vivantes Humboldt Hospital, Berlin, Germany
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4
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Gonzalez JT. Are all sugars equal? Role of the food source in physiological responses to sugars with an emphasis on fruit and fruit juice. Eur J Nutr 2024:10.1007/s00394-024-03365-3. [PMID: 38492022 DOI: 10.1007/s00394-024-03365-3] [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: 11/30/2023] [Accepted: 03/01/2024] [Indexed: 03/18/2024]
Abstract
High (free) sugar intakes can increase self-reported energy intake and are associated with unfavourable cardiometabolic health. However, sugar source may modulate the effects of sugars due to several mechanisms including the food matrix. The aim of this review was to assess the current state of evidence in relation to food source effects on the physiological responses to dietary sugars in humans relevant to cardiometabolic health. An additional aim was to review potential mechanisms by which food sources may influence such responses. Evidence from meta-analyses of controlled intervention trials was used to establish the balance of evidence relating to the addition of sugars to the diet from sugar-sweetened beverages, fruit juice, honey and whole fruit on cardiometabolic outcomes. Subsequently, studies which have directly compared whole fruit with fruit juices, or variants of fruit juices, were discussed. In summary, the sources of sugars can impact physiological responses, with differences in glycaemic control, blood pressure, inflammation, and acute appetite. Longer-term effects and mechanisms require further work, but initial evidence implicates physical structure, energy density, fibre, potassium and polyphenol content, as explanations for some of the observed responses.
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Affiliation(s)
- Javier T Gonzalez
- Centre for Nutrition, Exercise and Metabolism, University of Bath, Bath, UK.
- Department for Health, University of Bath, Bath, BA2 7AY, UK.
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5
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Chen V, Khan TA, Chiavaroli L, Ahmed A, Lee D, Kendall CWC, Sievenpiper JL. Response to comment on "Relation of fruit juice with adiposity and diabetes depends on how fruit juice is defined: a re-analysis of the EFSA draft scientific opinion on the tolerable upper intake level for dietary sugars" by Chen et al. 2023. Eur J Clin Nutr 2023; 77:1178-1179. [PMID: 37853097 PMCID: PMC10686817 DOI: 10.1038/s41430-023-01323-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/25/2023] [Accepted: 07/27/2023] [Indexed: 10/20/2023]
Affiliation(s)
- Victoria Chen
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, ON, Canada
| | - Tauseef A Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, ON, Canada
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Amna Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, ON, Canada
| | - Danielle Lee
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, ON, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, ON, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, ON, Canada.
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
- Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, ON, Canada.
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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6
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Fleming SA, Peregoy JA, Paul TL, Scott MO, Gaine PC. Charting the Chronology of Research on Added Sugars: A Scoping Review and Evidence Map. Nutrients 2023; 15:4974. [PMID: 38068831 PMCID: PMC10708429 DOI: 10.3390/nu15234974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/14/2023] [Accepted: 11/22/2023] [Indexed: 12/18/2023] Open
Abstract
The objective of this study was to conduct a scoping review and produce a publicly available database characterizing the design and reporting elements of the literature on dietary added sugars and select health outcomes. Relevant studies published from 1990 to 2021 were identified to create a database containing information on study and population characteristics, reported added sugars source and concentrations, dietary energy balance, total energy intake, and outcome measures related to body composition, obesity, cardiovascular disease, and diabetes mellitus. There were 245 publications identified, 22% of which describe interventions, and 78% describe observational studies. Publications pertaining to added sugars have risen dramatically since 2010, led by studies primarily assessing body composition (36%) or cardiovascular health (32%), including adults (65%), measuring liquid-only sources of added sugars (56%). Over 65% of studies reported total energy intake, 61% controlled for total energy intake in the design and analysis, and fewer than 5% of studies reported the energy balance of subjects. There has been a significant increase in research on added sugars since 2010, with substantial heterogeneity across all facets of methodology-study designs, exposures and outcomes of interest, terminology, and reporting of dietary intake data-thus limiting the ability to synthesize evidence in this scope of the literature. This evidence map highlights gaps and important areas for improvement to strengthen the state of research and better inform future policies and dietary recommendations on added sugars.
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Affiliation(s)
- Stephen A. Fleming
- Traverse Science, 435 E Hawley Street #816, Mundelein, IL 60060, USA; (J.A.P.); (T.L.P.)
| | - Jennifer A. Peregoy
- Traverse Science, 435 E Hawley Street #816, Mundelein, IL 60060, USA; (J.A.P.); (T.L.P.)
| | - Tristen L. Paul
- Traverse Science, 435 E Hawley Street #816, Mundelein, IL 60060, USA; (J.A.P.); (T.L.P.)
| | - Maria O. Scott
- Sugar Association Inc., 1310 L Street, NW, Suite 400, Washington, DC 20005, USA; (M.O.S.); (P.C.G.)
| | - P. Courtney Gaine
- Sugar Association Inc., 1310 L Street, NW, Suite 400, Washington, DC 20005, USA; (M.O.S.); (P.C.G.)
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7
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Watanabe Y, Watanabe H, Kogure S, Tanioka Y, Yamauchi J, Furusho T. Essential oil components of turmeric inhibit hepatic lipidification and liver fibrosis in a diet-induced NASH model rats. Sci Rep 2023; 13:20742. [PMID: 38007567 PMCID: PMC10676378 DOI: 10.1038/s41598-023-47097-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 11/09/2023] [Indexed: 11/27/2023] Open
Abstract
In this study, the fraction extracted from turmeric powder with 50% ethanol and fractionated with n-hexane were administered to diet-induced NASH model rats. NASH model was prepared with SD rats by feeding an originally designed choline-deficient, high-fat, high-fructose (HFF-CD) diet for 10 weeks. To the HFF-CD diet, hexane fraction and 50% ethanol fraction after hexane fractionation were added at 100 mg/kg body weight. 10 weeks later, blood samples and liver were collected for the following parameters: lipid weights, serum ALT, AST, TG, liver TG, TBARS levels, lipid metabolism-related gene expression and histopathological examination of the liver. As the results, the hexane fraction and 50% ethanol fraction showed a decrease in lipid weight, a decrease in hepatic TG, and activation of PPAR-α in the lipid metabolism-related gene test. These results suggest that the hexane fraction of turmeric has an inhibitory effect on fat accumulation in the liver by promoting lipid metabolism in NASH model rats.
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Affiliation(s)
- Yukari Watanabe
- Department of Ecological Symbiotic Science, Graduate School of Agriculture, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
| | - Hitoshi Watanabe
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Graduate School of Agriculture, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
| | - Sarasa Kogure
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
| | - Yuri Tanioka
- Department of Ecological Symbiotic Science, Graduate School of Agriculture, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Graduate School of Agriculture, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
| | - Jun Yamauchi
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Graduate School of Agriculture, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan
| | - Tadasu Furusho
- Department of Ecological Symbiotic Science, Graduate School of Agriculture, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan.
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Graduate School of Agriculture, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan.
- Department of International Food and Agricultural Science, Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagaya, Tokyo, 156-8502, Japan.
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8
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Prinz P. Sweetness preference and its impact on energy intake and body weight - a review of evidence. Front Nutr 2023; 10:1289028. [PMID: 37927507 PMCID: PMC10622747 DOI: 10.3389/fnut.2023.1289028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023] Open
Abstract
In the last few years, several approaches have been postulated for tackling the global increase in overweight and obesity rates, including different dietary macronutrient compositions or the timing of meals. Recently, taste modulation has come into focus as a possible approach for influencing dietary behavior. The perception of sweet taste is innate and an evolutionary protection mechanism to prevent primates from eating poisonous plants. It is hypothesized that this innate sweetness preference could be modulated by dietary sweetness, including sweet foods and beverages, which results in a learned sweetness preference that affects energy intake and body weight. However, this hypothesis is not supported by unanimous scientific evidence. This review provides an update of the current literature, regarding the modulation of sweetness preference as a possible new approach in the prevention of overweight and obesity. In general, results from observation as well as interventional studies in all age groups are heterogeneous. The majority showed no effect of dietary sweetness modulation on sweetness preference, energy intake or anthropometric measures. Therefore, the modulation of sweetness preference due to diet, foods or beverages is still a hypothesis and not scientifically proven. However, due to the lack of data, more research is necessary.
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Affiliation(s)
- Philip Prinz
- Department of Nutritional Sciences, German Sugar Association, Berlin, Germany
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9
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Gugliucci A. Sugar and Dyslipidemia: A Double-Hit, Perfect Storm. J Clin Med 2023; 12:5660. [PMID: 37685728 PMCID: PMC10488931 DOI: 10.3390/jcm12175660] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/10/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
The availability of sugar has expanded over the past 50 years, due to improved industrial processes and corn subsidies, particularly in the form of sweetened beverages. This correlates with a surge in the prevalence of cardiometabolic disorders, which has brought this issue back into the spotlight for public health. In this narrative review, we focus on the role of fructose in the genesis of cardiometabolic dyslipidemia (an increase in serum triglyceride-rich lipoproteins (TRL): VLDL, chylomicrons (CM), and their remnants) bringing together the most recent data on humans, which demonstrates the crucial interaction between glucose and fructose, increasing the synthesis while decreasing the catabolism of these particles in a synergistic downward spiral. After reviewing TRL metabolism, we discuss the fundamental principles governing the metabolism of fructose in the intestine and liver and the effects of dysregulated fructolysis, in conjunction with the activation of carbohydrate-responsive element-binding protein (ChREBP) by glucose and the resulting crosstalk. The first byproduct of fructose catabolism, fructose-1-P, is highlighted for its function as a signaling molecule that promotes fat synthesis. We emphasize the role of fructose/glucose interaction in the liver, which enhances de novo lipogenesis, triglyceride (TG) synthesis, and VLDL production. In addition, we draw attention to current research that demonstrates how fructose affects the activity of lipoprotein lipase by increasing the concentration of inhibitors such as apolipoprotein CIII (apoCIII) and angiopoietin-like protein 3 (ANGPTL3), which reduce the catabolism of VLDL and chylomicrons and cause the building up of their atherogenic remnants. The end outcome is a dual, synergistic, and harmful action that encourages atherogenesis. Thus, considering the growing concerns regarding the connection between sugar consumption and cardiometabolic disease, current research strongly supports the actions of public health organizations aimed at reducing sugar intake, including dietary guidance addressing "safe" limits for sugar consumption.
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Affiliation(s)
- Alejandro Gugliucci
- Glycation, Oxidation and Disease Laboratory, Touro University California, Vallejo, CA 94592, USA
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10
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Zhou H, Liu K, Liu W, Wu M, Wang Y, Lv Y, Meng H. Diets Enriched in Sugar, Refined, or Whole Grain Differentially Influence Plasma Cholesterol Concentrations and Cholesterol Metabolism Pathways with Concurrent Changes in Bile Acid Profile and Gut Microbiota Composition in ApoE -/- Mice. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023. [PMID: 37307383 DOI: 10.1021/acs.jafc.3c00810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This study aimed to compare the effects of diets enriched in sugar, refined grain (RG), or whole grain (WG) on circulating cholesterol concentrations and established and emerging mechanisms regulating cholesterol metabolism. Forty-four male ApoE-/- mice aged 8 weeks were randomly fed an isocaloric sugar-, RG-, or WG-enriched diet for 12 weeks. Compared to WG-enriched diet, fasting plasma LDL-C and HDL-C concentrations were higher and the mRNA expression of intestinal LXR-α was lower in sugar- and RG-enriched diets; plasma TC, non-HDL-C, TG and VLDL-C concentrations, and cecal concentrations of lithocholic acid were higher and the mRNA expression of intestinal ABCG5 was lower in sugar-enriched diet, and the mRNA expression of hepatic IDOL and cecal concentrations of lithocholic and deoxycholic acids was higher in RG-enriched diet. The relative abundance of Akkermansia, Clostridia_UCG-014, Alistipes, and Alloprevotella, which were lower in sugar- and/or RG- than in WG-enriched diet, had inverse correlations with fasting plasma cholesterol concentrations or cecal concentrations of secondary bile acids and positive correlations with gene expressions in intestinal cholesterol efflux. Conversely, the relative abundance of Lactobacillus, Lachnoclostridium, Lachnospiraceae_NK4A136_group, Colidextribacter, and Helicobacter had reverse correlations. Both sugar- and RG-enriched diets had unfavorable effects on cholesterol concentrations; yet, their effects on the gene expressions of cholesterol efflux, uptake, bile acid synthesis, and bile acid concentrations were distinctive and could be partially attributable to the concurrent changes in gut microbiota.
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Affiliation(s)
- Haiyan Zhou
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, Guangdong, P. R. China
| | - Ke Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, Guangdong, P. R. China
| | - Wenjing Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, Guangdong, P. R. China
| | - Man Wu
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, Guangdong, P. R. China
| | - Yin Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, Guangdong, P. R. China
| | - Yiqian Lv
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, Guangdong, P. R. China
| | - Huicui Meng
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen 518107, Guangdong, P. R. China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, Guangdong, P. R. China
- Guangdong Province Engineering Laboratory for Nutrition Translation, Guangzhou 510080, Guangdong, P. R. China
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11
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Angelico F, Baratta F, Coronati M, Ferro D, Del Ben M. Diet and metabolic syndrome: a narrative review. Intern Emerg Med 2023; 18:1007-1017. [PMID: 36929350 DOI: 10.1007/s11739-023-03226-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 02/11/2023] [Indexed: 03/18/2023]
Abstract
Metabolic syndrome (MetS) is a highly prevalent condition defined by the presence of at least three out of five risk factors including central obesity, increased fasting glucose, high blood pressure, and dyslipidaemia. Metabolic syndrome is associated with a 2-fold increase in cardiovascular outcomes and a 1.5-fold increase in all-cause mortality. Excess energy intake and Western dietary pattern may influence the development of metabolic syndrome. By contrast, both Mediterranean diet (Med-diet) and Dietary Approaches to Stop Hypertension (DASH) diet, with or without calorie restriction, have positive effects. For the prevention and management of MetS, it is recommended to increase the daily intake of fiber-rich and low-glycaemic-index foods and the consumption of fish and dairy products, especially yogurt and nuts. Moreover, it is advisable to consume a large variety of unprocessed cereals, legumes, and fruit. Finally, it is suggested to replace saturated fatty acids with monounsaturated and polyunsaturated fatty acids and to limit the consumption of free sugars to less than 10% of the total energy intake. The aim of this narrative review is to analyze current evidence on the different dietary patterns and nutrients that may affect prevention and treatment of MetS and to discuss the underlying pathophysiological mechanisms.
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Affiliation(s)
- Francesco Angelico
- Department of Clinical Internal, Anaesthesiological and Cardiovascular Sciences, I Clinica Medica, Sapienza University of Rome, Policlinico Umberto 1, 00161, Rome, Italy
| | - Francesco Baratta
- Department of Clinical Internal, Anaesthesiological and Cardiovascular Sciences, I Clinica Medica, Sapienza University of Rome, Policlinico Umberto 1, 00161, Rome, Italy.
| | - Mattia Coronati
- Department of Clinical Internal, Anaesthesiological and Cardiovascular Sciences, I Clinica Medica, Sapienza University of Rome, Policlinico Umberto 1, 00161, Rome, Italy
| | - Domenico Ferro
- Department of Clinical Internal, Anaesthesiological and Cardiovascular Sciences, I Clinica Medica, Sapienza University of Rome, Policlinico Umberto 1, 00161, Rome, Italy
| | - Maria Del Ben
- Department of Clinical Internal, Anaesthesiological and Cardiovascular Sciences, I Clinica Medica, Sapienza University of Rome, Policlinico Umberto 1, 00161, Rome, Italy
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12
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Aas AM, Axelsen M, Churuangsuk C, Hermansen K, Kendall CWC, Kahleova H, Khan T, Lean MEJ, Mann JI, Pedersen E, Pfeiffer A, Rahelić D, Reynolds AN, Risérus U, Rivellese AA, Salas-Salvadó J, Schwab U, Sievenpiper JL, Thanopoulou A, Uusitupa EM. Evidence-based European recommendations for the dietary management of diabetes. Diabetologia 2023; 66:965-985. [PMID: 37069434 DOI: 10.1007/s00125-023-05894-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
Diabetes management relies on effective evidence-based advice that informs and empowers individuals to manage their health. Alongside other cornerstones of diabetes management, dietary advice has the potential to improve glycaemic levels, reduce risk of diabetes complications and improve health-related quality of life. We have updated the 2004 recommendations for the nutritional management of diabetes to provide health professionals with evidence-based guidelines to inform discussions with patients on diabetes management, including type 2 diabetes prevention and remission. To provide this update we commissioned new systematic reviews and meta-analyses on key topics, and drew on the broader evidence available. We have strengthened and expanded on the previous recommendations to include advice relating to dietary patterns, environmental sustainability, food processing, patient support and remission of type 2 diabetes. We have used the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach to determine the certainty of evidence for each recommendation based on findings from the commissioned and identified systematic reviews. Our findings indicate that a range of foods and dietary patterns are suitable for diabetes management, with key recommendations for people with diabetes being largely similar for those for the general population. Important messages are to consume minimally processed plant foods, such as whole grains, vegetables, whole fruit, legumes, nuts, seeds and non-hydrogenated non-tropical vegetable oils, while minimising the consumption of red and processed meats, sodium, sugar-sweetened beverages and refined grains. The updated recommendations reflect the current evidence base and, if adhered to, will improve patient outcomes.
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13
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Zhao W, Liu Z, Fan Z, Wu Y, Lou X, Liu A, Lu X. Apple preload increased postprandial insulin sensitivity of a high glycemic rice meal only at breakfast. Eur J Nutr 2023; 62:1427-1439. [PMID: 36631706 DOI: 10.1007/s00394-022-03079-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 12/21/2022] [Indexed: 01/13/2023]
Abstract
PURPOSE The possible impact of preload food on insulin sensitivity has yet been reported. This study aimed to investigate the glycemic and insulinemic effect of an apple preload before breakfast, lunch and early supper, based on high glycemic index (GI) rice meals. METHODS Twenty-three healthy participants in Group 1 and 14 participants in Group 2 were served with the reference meal (white rice containing 50 g of available carbohydrate) or experimental meals (apple preload and rice, each containing 15 and 35 g of available carbohydrate). The meals were either served at 8:00 for breakfast, 12:30 for lunch or 17:00 for early supper to explore the possible effect of time factor. The group 1 assessed the postprandial and subsequent-meal glycemic effect of the test meals by continuous glucose monitoring (CGM), along with subjective appetite; The group 2 further investigated the glycemic and insulin effect by blood collection. RESULTS The apple preload lowered the blood glucose peak value by 33.5%, 31.4% and 31.0% in breakfast, lunch and supper, respectively, while increased insulin sensitivity by 40.5% only at breakfast, compared with the rice reference. The early supper resulted significantly milder glycemic response than its breakfast and lunch counterparts did. The result of CGM tests was consistent with that of the fingertip blood tests. CONCLUSION Apple preload performed the best at breakfast in terms of enhancing the insulin sensitivity. The preload treatment could effectively attenuate postprandial GR without increasing the area under insulin response curve in any of the three meals.
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Affiliation(s)
- Wenqi Zhao
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China
| | - Zhenyang Liu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China
| | - Zhihong Fan
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China.
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
| | - Yixue Wu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China
| | - Xinling Lou
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China
| | - Anshu Liu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China
| | - Xuejiao Lu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China
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14
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Sun T, Zhang Y, Ding L, Zhang Y, Li T, Li Q. The Relationship Between Major Food Sources of Fructose and Cardiovascular Outcomes: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies. Adv Nutr 2023; 14:256-269. [PMID: 36803836 DOI: 10.1016/j.advnut.2022.12.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/06/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022] Open
Abstract
There is emerging evidence of associations between intake of sugar-sweetened beverages (SSBs), those that include various forms of added sugar, and increased risk of cardiovascular disease (CVD) but whether consumption of other dietary sources of fructose affects CVD is unclear. In this study, we conducted a meta-analysis to examine potential dose-response relationships between such foods and CVD, coronary heart disease (CHD), and stroke morbidity and mortality. We systematically searched the literature indexed in PubMed, Embase, and the Cochrane Library from the inception of each database to February 10, 2022. We included prospective cohort studies analyzing the association between at least 1 dietary source of fructose and CVD, CHD, and stroke. Based on data from 64 included studies, summary HRs and 95% CIs were calculated for the highest intake category compared with the lowest, and dose-response analyses were performed. Of all fructose sources examined, only SSB intakes showed positive associations with CVD, giving summary HRs per 250 mL/d increase of 1.10 (95% CI: 1.02, 1.17) for CVD, 1.11 (95% CI: 1.05, 1.17) for CHD, 1.08 (95% CI: 1.02, 1.13) for stroke morbidity, and 1.06 (95% CI: 1.02, 1.10) for CVD mortality. Conversely, 3 dietary sources showed protective associations: between fruits and CVD morbidity (HR: 0.97; 95% CI: 0.96, 0.98), fruits and CVD mortality (HR: 0.94; 95% CI: 0.92, 0.97), yogurt and CVD mortality (HR: 0.96; 95% CI: 0.93, 0.99), and breakfast cereals and CVD mortality (HR: 0.80; 95% CI: 0.70, 0.90). All these relationships were linear except for fruit, which was J-shaped: CVD morbidity was the lowest at 200 g/d and there was no protective association above 400 g/d. These findings indicate that the adverse associations between SSBs and CVD, CHD, and stroke morbidity and mortality do not extend to other dietary sources of fructose. The food matrix seemed to modify the association between fructose and cardiovascular outcomes.
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Affiliation(s)
- Tingting Sun
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yabing Zhang
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Lin Ding
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yonggang Zhang
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Tao Li
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Mitochondria and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
| | - Qian Li
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.
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15
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Body Composition and Nutritional Status of the Spanish National Breaking Team Aspiring to the Paris 2024 Olympic Games. Nutrients 2023; 15:nu15051218. [PMID: 36904217 PMCID: PMC10005051 DOI: 10.3390/nu15051218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 02/22/2023] [Accepted: 02/24/2023] [Indexed: 03/06/2023] Open
Abstract
Breaking is a sports dance modality that will debut for the first time at the Paris 2024 Olympic Games. This dance form combines street dance steps with acrobatics and athletic elements. It complies with gender equality, maintains aesthetic appeal, and is practised indoors. The objective of this study is to assess the characteristics of body composition and nutritional status of the athletes that make up the Breaking national team. This national team was recruited, and they underwent an analysis of body composition using bioimpedance measurement and a nutritional interview status with the completion of a survey on the frequency of the consumption of sports supplements and ergogenic aids. In addition, they completed a consumption questionnaire for a series of food groups with specified protein, lipid, and carbohydrate content. After that, parameters were analyzed in relation to their nutritional status during a complete medical examination at the Endocrinology and Nutrition Service of the Sports Medicine Center of CSD. A descriptive analysis of the results obtained was carried out to find the mean values of the variables analyzed. The analytical parameters described an adequate nutritional status, except for the mean capillary determination of 25-OH-vitamin D3, which was 24.2 ng/dL (SD: 10.3). Bone mineral density values were higher than those of the general population. This is the first time that a study of these characteristics has been carried out on Breakers, so it is highly relevant to increase knowledge in this area in order to conduct nutritional interventions aimed at improving the sports performance of these athletes.
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16
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Chiavaroli L, Cheung A, Ayoub-Charette S, Ahmed A, Lee D, Au-Yeung F, Qi X, Back S, McGlynn N, Ha V, Lai E, Khan TA, Blanco Mejia S, Zurbau A, Choo VL, de Souza RJ, Wolever TM, Leiter LA, Kendall CW, Jenkins DJ, Sievenpiper JL. Important food sources of fructose-containing sugars and adiposity: A systematic review and meta-analysis of controlled feeding trials. Am J Clin Nutr 2023; 117:741-765. [PMID: 36842451 DOI: 10.1016/j.ajcnut.2023.01.023] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 12/29/2022] [Accepted: 01/18/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Sugar-sweetened beverages (SSBs) providing excess energy increase adiposity. The effect of other food sources of sugars at different energy control levels is unclear. OBJECTIVES To determine the effect of food sources of fructose-containing sugars by energy control on adiposity. METHODS In this systematic review and meta-analysis, MEDLINE, Embase, and Cochrane Library were searched through April 2022 for controlled trials ≥2 wk. We prespecified 4 trial designs by energy control: substitution (energy-matched replacement of sugars), addition (energy from sugars added), subtraction (energy from sugars subtracted), and ad libitum (energy from sugars freely replaced). Independent authors extracted data. The primary outcome was body weight. Secondary outcomes included other adiposity measures. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to assess the certainty of evidence. RESULTS We included 169 trials (255 trial comparisons, n = 10,357) assessing 14 food sources at 4 energy control levels over a median 12 wk. Total fructose-containing sugars increased body weight (MD: 0.28 kg; 95% CI: 0.06, 0.50 kg; PMD = 0.011) in addition trials and decreased body weight (MD: -0.96 kg; 95% CI: -1.78, -0.14 kg; PMD = 0.022) in subtraction trials with no effect in substitution or ad libitum trials. There was interaction/influence by food sources on body weight: substitution trials [fruits decreased; added nutritive sweeteners and mixed sources (with SSBs) increased]; addition trials [dried fruits, honey, fruits (≤10%E), and 100% fruit juice (≤10%E) decreased; SSBs, fruit drink, and mixed sources (with SSBs) increased]; subtraction trials [removal of mixed sources (with SSBs) decreased]; and ad libitum trials [mixed sources (with/without SSBs) increased]. GRADE scores were generally moderate. Results were similar across secondary outcomes. CONCLUSIONS Energy control and food sources mediate the effect of fructose-containing sugars on adiposity. The evidence provides a good indication that excess energy from sugars (particularly SSBs at high doses ≥20%E or 100 g/d) increase adiposity, whereas their removal decrease adiposity. Most other food sources had no effect, with some showing decreases (particularly fruits at lower doses ≤10%E or 50 g/d). This trial was registered at clinicaltrials.gov as NCT02558920 (https://clinicaltrials.gov/ct2/show/NCT02558920).
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Affiliation(s)
- 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
| | - 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
| | - 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
| | - 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
| | - 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
| | - XinYe Qi
- 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
| | - Songhee Back
- 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
| | - Néma McGlynn
- 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
| | - Vanessa Ha
- 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; School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Ethan Lai
- 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
| | - 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
| | - 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
| | - 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; INQUIS Clinical Research Ltd. (formerly GI Labs), 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; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, 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; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, 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; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
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17
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Massara P, Zurbau A, Glenn AJ, Chiavaroli L, Khan TA, Viguiliouk E, Mejia SB, Comelli EM, Chen V, Schwab U, Risérus U, Uusitupa M, Aas AM, Hermansen K, Thorsdottir I, Rahelić D, Kahleová H, Salas-Salvadó J, Kendall CWC, Sievenpiper JL. Nordic dietary patterns and cardiometabolic outcomes: a systematic review and meta-analysis of prospective cohort studies and randomised controlled trials. Diabetologia 2022; 65:2011-2031. [PMID: 36008559 PMCID: PMC9630197 DOI: 10.1007/s00125-022-05760-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 05/24/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS Nordic dietary patterns that are high in healthy traditional Nordic foods may have a role in the prevention and management of diabetes. To inform the update of the EASD clinical practice guidelines for nutrition therapy, we conducted a systematic review and meta-analysis of Nordic dietary patterns and cardiometabolic outcomes. METHODS We searched MEDLINE, EMBASE and The Cochrane Library from inception to 9 March 2021. We included prospective cohort studies and RCTs with a follow-up of ≥1 year and ≥3 weeks, respectively. Two independent reviewers extracted relevant data and assessed the risk of bias (Newcastle-Ottawa Scale and Cochrane risk of bias tool). The primary outcome was total CVD incidence in the prospective cohort studies and LDL-cholesterol in the RCTs. Secondary outcomes in the prospective cohort studies were CVD mortality, CHD incidence and mortality, stroke incidence and mortality, and type 2 diabetes incidence; in the RCTs, secondary outcomes were other established lipid targets (non-HDL-cholesterol, apolipoprotein B, HDL-cholesterol, triglycerides), markers of glycaemic control (HbA1c, fasting glucose, fasting insulin), adiposity (body weight, BMI, waist circumference) and inflammation (C-reactive protein), and blood pressure (systolic and diastolic blood pressure). The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach was used to assess the certainty of the evidence. RESULTS We included 15 unique prospective cohort studies (n=1,057,176, with 41,708 cardiovascular events and 13,121 diabetes cases) of people with diabetes for the assessment of cardiovascular outcomes or people without diabetes for the assessment of diabetes incidence, and six RCTs (n=717) in people with one or more risk factor for diabetes. In the prospective cohort studies, higher adherence to Nordic dietary patterns was associated with 'small important' reductions in the primary outcome, total CVD incidence (RR for highest vs lowest adherence: 0.93 [95% CI 0.88, 0.99], p=0.01; substantial heterogeneity: I2=88%, pQ<0.001), and similar or greater reductions in the secondary outcomes of CVD mortality and incidence of CHD, stroke and type 2 diabetes (p<0.05). Inverse dose-response gradients were seen for total CVD incidence, CVD mortality and incidence of CHD, stroke and type 2 diabetes (p<0.05). No studies assessed CHD or stroke mortality. In the RCTs, there were small important reductions in LDL-cholesterol (mean difference [MD] -0.26 mmol/l [95% CI -0.52, -0.00], pMD=0.05; substantial heterogeneity: I2=89%, pQ<0.01), and 'small important' or greater reductions in the secondary outcomes of non-HDL-cholesterol, apolipoprotein B, insulin, body weight, BMI and systolic blood pressure (p<0.05). For the other outcomes there were 'trivial' reductions or no effect. The certainty of the evidence was low for total CVD incidence and LDL-cholesterol; moderate to high for CVD mortality, established lipid targets, adiposity markers, glycaemic control, blood pressure and inflammation; and low for all other outcomes, with evidence being downgraded mainly because of imprecision and inconsistency. CONCLUSIONS/INTERPRETATION Adherence to Nordic dietary patterns is associated with generally small important reductions in the risk of major CVD outcomes and diabetes, which are supported by similar reductions in LDL-cholesterol and other intermediate cardiometabolic risk factors. The available evidence provides a generally good indication of the likely benefits of Nordic dietary patterns in people with or at risk for diabetes. REGISTRATION ClinicalTrials.gov NCT04094194. FUNDING Diabetes and Nutrition Study Group of the EASD Clinical Practice.
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Affiliation(s)
- Paraskevi Massara
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Andrea J Glenn
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Laura Chiavaroli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Tauseef A Khan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Effie Viguiliouk
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
| | - Elena M Comelli
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Joannah and Brian Lawson Centre for Child Nutrition, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Victoria Chen
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Ursula Schwab
- Institute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
- Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Kuopio, Finland.
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Anne-Marie Aas
- Division of Medicine, Department of Clinical Service, Section of Nutrition and Dietetics, Oslo University Hospital, Oslo, Norway
| | - Kjeld Hermansen
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Inga Thorsdottir
- Unit for Nutrition Research, Health Science Institute, University of Iceland, Reykjavík, Iceland
- Landspitali - University Hospital of Iceland, Reykjavík, Iceland
| | - Dario Rahelić
- Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Zagreb, Croatia
- Croatian Catholic University School of Medicine, Zagreb, Croatia
- Josip Juraj Strossmayer University School of Medicine, Osijek, Croatia
| | - Hana Kahleová
- Institute for Clinical and Experimental Medicine, Diabetes Centre, Prague, Czech Republic
- Physicians Committee for Responsible Medicine, Washington, DC, USA
| | - Jordi Salas-Salvadó
- Centro de Investigacion Biomedica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
- Human Nutrition Department, IISPV, Universitat Rovira i Virgili, Reus, Spain
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada.
- Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.
- Joannah and Brian Lawson Centre for Child Nutrition, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.
- Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada.
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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18
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Hernández-Díazcouder A, González-Ramírez J, Sanchez F, Leija-Martínez JJ, Martínez-Coronilla G, Amezcua-Guerra LM, Sánchez-Muñoz F. Negative Effects of Chronic High Intake of Fructose on Lung Diseases. Nutrients 2022; 14:nu14194089. [PMID: 36235741 PMCID: PMC9571075 DOI: 10.3390/nu14194089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/23/2022] [Accepted: 09/28/2022] [Indexed: 11/09/2022] Open
Abstract
In the modern diet, excessive fructose intake (>50 g/day) had been driven by the increase, in recent decades, of the consumption of sugar-sweetened beverages. This phenomenon has dramatically increased within the Caribbean and Latin American regions. Epidemiological studies show that chronic high intake of fructose related to sugar-sweetened beverages increases the risk of developing several non-communicable diseases, such as chronic obstructive pulmonary disease and asthma, and may also contribute to the exacerbation of lung diseases, such as COVID-19. Evidence supports several mechanisms—such as dysregulation of the renin−angiotensin system, increased uric acid production, induction of aldose reductase activity, production of advanced glycation end-products, and activation of the mTORC1 pathway—that can be implicated in lung damage. This review addresses how these pathophysiologic and molecular mechanisms may explain the lung damage resulting from high intake of fructose.
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Affiliation(s)
| | - Javier González-Ramírez
- Cellular Biology Laboratory, Faculty of Nursing, Universidad Autónoma de Baja California Campus Mexicali, Mexicali 21100, Mexico
| | - Fausto Sanchez
- Department of Agricultural and Animal Production, Universidad Autónoma Metropolitana Xochimilco, Mexico City 04960, Mexico
| | - José J. Leija-Martínez
- Master and Doctorate Program in Medical, Dental, and Health Sciences, Faculty of Medicine, Universidad Nacional Autónoma de México Campus Ciudad Universitaria, Mexico City 04510, Mexico
- Research Laboratory of Pharmacology, Hospital Infantil de Mexico Federico Gómez, Mexico City 06720, Mexico
| | - Gustavo Martínez-Coronilla
- Histology Laboratory, Faculty of Medicine, Universidad Autónoma de Baja California Campus Mexicali, Mexicali 21100, Mexico
| | - Luis M. Amezcua-Guerra
- Department of Immunology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
| | - Fausto Sánchez-Muñoz
- Department of Immunology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
- Correspondence: ; Tel.: +52-5573-2911 (ext. 21310)
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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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Karjoo S, Auriemma A, Fraker T, Bays HE. Nonalcoholic fatty liver disease and obesity: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022. OBESITY PILLARS (ONLINE) 2022; 3:100027. [PMID: 37990727 PMCID: PMC10661876 DOI: 10.1016/j.obpill.2022.100027] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 07/02/2022] [Indexed: 11/23/2023]
Abstract
Background This Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) provides clinicians an overview of nonalcoholic fatty liver disease (NAFLD), potential progression to nonalcoholic steatohepatitis (NASH), and their application to obesity. Methods The scientific information for this CPS is based upon published scientific citations, clinical perspectives of OMA authors, and peer review by the Obesity Medicine Association leadership. Results Topics of this CPS include the prevalence of NAFLD and NASH, the prevalence of NAFLD and NASH among patients with obesity, as well as NAFLD and NASH definitions, diagnosis, imaging, pathophysiology, differential diagnosis, role of high fructose corn syrup and other simple sugars, and treatment (e.g., nutrition, physical activity, medications). Conclusions This Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) regarding NAFLD and obesity is one of a series of OMA CPSs designed to assist clinicians in the care of patients with the disease of obesity. Patients with obesity are at increased risk for NAFLD and NASH. Patients may benefit when clinicians who manage obesity understand the etiology, diagnosis, and optimal treatment of NAFLD with a goal to prevent NASH.
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Affiliation(s)
- Sara Karjoo
- University of South Florida, 12901 Bruce B Downs Blvd, Tampa, FL, 33612, USA
- Florida State University, 1115 W Call St., Tallahassee, FL, 32304, USA
- Johns Hopkins School of Medicine, 733 N Broadway, Baltimore, MD, 21205, USA
| | - Anthony Auriemma
- Ascension Illinois Medical Group Weight Loss Solutions, 25 E Schaumburg Rd, Suite 101, Schaumburg, IL, 60194, USA
| | - Teresa Fraker
- Obesity Medicine Association, 7173 South Havana Street #600-130, Centennial, CO, 80112, USA
| | - Harold Edward Bays
- Louisville Metabolic and Atherosclerosis Research Center, 3288 Illinois Avenue, 40213, USA
- University of Louisville School of Medicine, 500 S Preston St, Louisville, KY, 40202, USA
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Abstract
Nutrition is a corner stone of diabetes management, and should be regarded as fundamental to achieving blood glucose control. The current advice for nutrition in diabetes management is discussed, with a focus on body weight, macro and micro nutrients, foods and food groups, dietary patterns, and the lifestyle context. More recent evidence on topics such as body weight and dietary patterns indicate flexibility in what can be recommended, which enables patient preference and may aid adherence. Importantly, a healthy diet for those with diabetes is also appropriate to recommend for their families and the general population.
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Affiliation(s)
- Andrew Reynolds
- Department of Medicine, University of Otago, PO Box 56, Dunedin 9054, New Zealand.
| | - Jim Mann
- Department of Medicine, University of Otago, PO Box 56, Dunedin 9054, New Zealand
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22
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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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Piernas C, Gao M, Jebb SA. Dietary patterns derived by reduced rank regression and non-communicable disease risk. Proc Nutr Soc 2022:1-8. [PMID: 35765989 DOI: 10.1017/s0029665122001094] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Most current nutrition policies and dietary recommendations still reflect decades of research addressing the mechanism of action or health risks of individual nutrients. Yet, most high-income countries including the UK are far from reaching the dietary intakes which are recommended for good health. Food-based dietary patterns (DPs) can help target specific combinations of foods that are associated with disease risk, recognising the coexistence of multiple nutrients within foods and their potential synergistic effects. Reduced rank regression (RRR) has emerged as a useful exploratory approach which uses a priori knowledge of the pathway from diet to disease to help identify DPs which are associated with disease risk in a particular population. Here we reviewed the literature with a focus on longitudinal cohort studies using RRR to derive DPs and reporting associations with non-communicable disease risk. We also illustrated the application of the RRR approach using data from the UK Biobank study, where we derived DPs that explained high variability in a set of nutrient response variables. The main DP was characterised by high intakes of chocolate and confectionery, butter and low-fibre bread, and low intakes of fresh fruit and vegetables and showed particularly strong associations with CVD, type 2 diabetes and all-cause mortality, which is consistent with previous studies that derived 'Western' or unhealthy DPs. These recent studies conducted in the UK Biobank population together with evidence from previous cohort studies contribute to the emerging evidence base to underpin food-based dietary advice for non-communicable disease prevention.
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Affiliation(s)
- Carmen Piernas
- Department of Biochemistry and Molecular Biology II, Center for Biomedical Research (CIBM), Institute of Nutrition and Food Technology (INYTA), University of Granada, Granada, Spain
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Min Gao
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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Gao M, Jebb SA, Aveyard P, Ambrosini GL, Perez-Cornago A, Papier K, Carter J, Piernas C. Associations Between Dietary Patterns and Incident Type 2 Diabetes: Prospective Cohort Study of 120,343 UK Biobank Participants. Diabetes Care 2022; 45:1315-1325. [PMID: 35299247 DOI: 10.2337/dc21-2258] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 02/21/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To identify dietary patterns (DPs) characterized by a set of nutrients of concern and their association with incident type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS A total of 120,343 participants from the U.K. Biobank study with at least two 24 h dietary assessments were studied. Reduced rank regression was used to derive DPs explaining variability in energy density, free sugars, saturated fat, and fiber intakes. We investigated prospective associations with T2D using Cox proportional hazard models. RESULTS Over 8.4 years of follow-up from the latest dietary assessment, 2,878 participants developed T2D. Two DPs were identified that jointly explained a total of 63% variation in four nutrients. DP1 was characterized by high intakes of chocolate and confectionery, butter, low-fiber bread, and sugars and preserves, and low intakes of fruits and vegetables. DP1 was linearly associated with T2D in multivariable models without BMI adjustment (per z score, hazard ratio [HR] 1.11 [95% CI 1.08-1.14]) and after BMI adjustment (HR 1.09 [95% CI 1.06-1.12]). DP2 was characterized by high intakes of sugar-sweetened beverages, fruit juice, table sugars and preserves, and low intakes of high-fat cheese and butter, but showed no clear association with T2D. There were significant interactions between both DPs and age, with increased risks among younger people in DP1 (HR 1.13 [95% CI 1.09-1.18]) and DP2 (HR 1.10 [95% CI 1.05-1.15]), as well as with DP1 and BMI, with increased risks among people with obesity (HR 1.11 [95% CI 1.07-1.16]). CONCLUSIONS A DP characterized by high intakes of chocolate and confectionery, butter, low-fiber bread, and added sugars, and low in fresh fruits and vegetables intake is associated with a higher incidence of T2D, particularly among younger people and those with obesity.
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Affiliation(s)
- Min Gao
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, U.K
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, U.K.,National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals, Oxford, U.K
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, U.K.,National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals, Oxford, U.K
| | - Gina L Ambrosini
- School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Keren Papier
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Jennifer Carter
- Nuffield Department of Population Health, University of Oxford, Oxford, U.K
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, U.K
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Zhang H, Li X, Niu Y, Yang Z, Lu Y, Su Q, Qin L. Fasting serum fructose is associated with risk of gestational diabetes mellitus. BMC Pregnancy Childbirth 2022; 22:446. [PMID: 35643436 PMCID: PMC9148505 DOI: 10.1186/s12884-022-04768-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 05/05/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Objective
To investigate the association of fasting serum fructose concentrations and the incidence of GDM.
Research design and methods
Five hundred twenty six pregnant women who attended the obstetric clinic of Xinhua Hospital, Chongming Branch were recruited prospectively from September 2019 to November 2020. Fasting serum fructose concentrations were measured by a validated liquid chromatography–tandem mass spectrometry method. GDM was diagnosed according to the criteria of the IADPSG. Independent sample t-test was used to compare the differences between groups. Multiple stepwise regression analysis was used to estimate the associations of serum fructose and other variables. Multivariate logistic regression models were adopted to evaluate the odds ratios (ORs) for GDM.
Results
Of the 526 pregnant women, 110 were diagnosed with GDM. Fasting fructose concentrations were increased significantly in GDM patients compared to those without GDM (1.30 ug/ml vs 1.16 ug/ml, p<0.001). Fasting fructose concentration was independently associated with GDM after adjusting the potential confounders, 1 ug/ml increase in fasting serum fructose level was associated with an 81.1% increased risk of GDM (1.811, [1.155-2.840]). Taking fructose <1.036 ug/ml as the reference, the OR for GDM was significantly higher in fructose ≥1.036 ug/ml group (OR, 1.669; 95% CI, 1.031–2.701) after all the potential confounders were adjusted.
Conclusions
Increased fasting serum fructose levels were independently associated with the incidence of GDM.
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26
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Skurk T, Bosy-Westphal A, Grünerbel A, Kabisch S, Keuthage W, Kronsbein P, Müssig K, Pfeiffer AFH, Simon MC, Tombek A, Weber KS, Rubin D. Dietary recommendations for persons with type 2 diabetes mellitus. Exp Clin Endocrinol Diabetes 2022; 130:S151-S184. [PMID: 35359013 DOI: 10.1055/a-1624-5095] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Thomas Skurk
- ZIEL Institute for Food & Health, Technical University of Munich, Freising, Germany.,Else Kröner-Fresenius-Center for Nutritional Medicine, Technical University of Munich, Freising, Germany
| | - Anja Bosy-Westphal
- Institute for Human Nutrition, Faculty of Agricultural and Nutritional Sciences, Christian-Albrechts-University of Kiel, Kiel, Germany
| | | | - Stefan Kabisch
- German Institute of Human Nutrition Potsdam-Rehbrücke, Potsdam, Germany.,Department of Endocrinology, Diabetes and Nutritional Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.,German Center for Diabetes Research (DZD), Munich, Germany
| | - Winfried Keuthage
- Focus Practice for Diabetes and Nutritional Medicine, Münster, Germany
| | - Peter Kronsbein
- Department of Ecotrophology, Niederrhein University of Applied Sciences, Mönchengladbach Campus, Germany
| | - Karsten Müssig
- Department of Internal Medicine, Gastroenterology and Diabetology, Niels Stensen Hospitals, Franziskus Hospital Harderberg, Georgsmarienhütte, Germany
| | - Andreas F H Pfeiffer
- Department of Endocrinology, Diabetes and Nutritional Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marie-Christine Simon
- Institute of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms University, Bonn, Germany
| | | | - Katharina S Weber
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Diana Rubin
- Vivantes Hospital Spandau, Berlin, Germany.,Vivantes Humboldt Hospital, Berlin, Germany
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27
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Veit M, van Asten R, Olie A, Prinz P. The role of dietary sugars, overweight, and obesity in type 2 diabetes mellitus: a narrative review. Eur J Clin Nutr 2022; 76:1497-1501. [PMID: 35314768 PMCID: PMC9630103 DOI: 10.1038/s41430-022-01114-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/18/2022] [Accepted: 02/25/2022] [Indexed: 01/17/2023]
Abstract
Nowadays, there is still a popular belief that dietary sugars, in particular sucrose, are directly linked to the development of type 2 diabetes mellitus (T2DM). Furthermore, since insulin action is impaired in T2DM, it is still believed that excluding dietary sugars from the diet can adequately treat T2DM. This might be based on the assumption that dietary sugars have a stronger impact on blood glucose levels than other carbohydrates. Therefore, the aim of this review is to discuss the effects of dietary sugars intake, including sugar-sweetened beverages (SSBs) against the background of overall energy intake and weight gain in the development of T2DM. Furthermore, the effect of dietary sugars, including SSBs on glycemic control will be discussed. Results from various systematic reviews and meta-analyses do not support the idea that the intake of sucrose and other dietary sugars is linked to T2DM. Long-chain or complex carbohydrates can have a greater impact on postprandial glycemic response than sucrose. SSBs do not affect glycemic control if substituted for other calorie sources. Current scientific evidence clearly points toward excess energy intake followed by excess body fat gain being most relevant in the development of T2DM.
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Affiliation(s)
- Meike Veit
- Department Consumer Protection-Nutrition Policy-Sustainability Europe, Pfeifer & Langen GmbH & Co. KG, Cologne, Germany
| | | | - Andries Olie
- Board Members, Knowledge Centre Sugar & Nutrition, Hilversum, The Netherlands.,Royal Cosun, Breda, The Netherlands
| | - Philip Prinz
- Department of Nutritional Sciences, German Sugar Association, Berlin, Germany.
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28
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Added Fructose in Non-Alcoholic Fatty Liver Disease and in Metabolic Syndrome: A Narrative Review. Nutrients 2022; 14:nu14061127. [PMID: 35334784 PMCID: PMC8950441 DOI: 10.3390/nu14061127] [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: 01/31/2022] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 02/04/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) represents the most common chronic liver disease and it is considered the hepatic manifestation of metabolic syndrome (MetS). Diet represents the key element in NAFLD and MetS treatment, but some nutrients could play a role in their pathophysiology. Among these, fructose added to foods via high fructose corn syrup (HFCS) and sucrose might participate in NAFLD and MetS onset and progression. Fructose induces de novo lipogenesis (DNL), endoplasmic reticulum stress and liver inflammation, promoting insulin resistance and dyslipidemia. Fructose also reduces fatty acids oxidation through the overproduction of malonyl CoA, favoring steatosis. Furthermore, recent studies suggest changes in intestinal permeability associated with fructose consumption that contribute to the risk of NAFLD and MetS. Finally, alterations in the hunger–satiety mechanism and in the synthesis of uric acid link the fructose intake to weight gain and hypertension, respectively. However, further studies are needed to better evaluate the causal relationship between fructose and metabolic diseases and to develop new therapeutic and preventive strategies against NAFLD and MetS.
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29
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McGlynn ND, Khan TA, Wang L, Zhang R, Chiavaroli L, Au-Yeung F, Lee JJ, Noronha JC, Comelli EM, Blanco Mejia S, Ahmed A, Malik VS, Hill JO, Leiter LA, Agarwal A, Jeppesen PB, Rahelić D, Kahleová H, Salas-Salvadó J, Kendall CWC, Sievenpiper JL. Association of Low- and No-Calorie Sweetened Beverages as a Replacement for Sugar-Sweetened Beverages With Body Weight and Cardiometabolic Risk: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e222092. [PMID: 35285920 PMCID: PMC9907347 DOI: 10.1001/jamanetworkopen.2022.2092] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/20/2022] [Indexed: 11/14/2022] Open
Abstract
Importance There are concerns that low- and no-calorie sweetened beverages (LNCSBs) do not have established benefits, with major dietary guidelines recommending the use of water and not LNCSBs to replace sugar-sweetened beverages (SSBs). Whether LNCSB as a substitute can yield similar improvements in cardiometabolic risk factors vs water in their intended substitution for SSBs is unclear. Objective To assess the association of LNCSBs (using 3 prespecified substitutions of LNCSBs for SSBs, water for SSBs, and LNCSBs for water) with body weight and cardiometabolic risk factors in adults with and without diabetes. Data Sources Medline, Embase, and the Cochrane Central Register of Controlled Trials were searched from inception through December 26, 2021. Study Selection Randomized clinical trials (RCTs) with at least 2 weeks of interventions comparing LNCSBs, SSBs, and/or water were included. Data Extraction and Synthesis Data were extracted and risk of bias was assessed by 2 independent reviewers. A network meta-analysis was performed with data expressed as mean difference (MD) or standardized mean difference (SMD) with 95% CIs. The GRADE (Grading of Recommendations Assessment, Development and Evaluation) system was used to assess the certainty of the evidence. Main Outcomes and Measures The primary outcome was body weight. Secondary outcomes were other measures of adiposity, glycemic control, blood lipids, blood pressure, measures of nonalcoholic fatty liver disease, and uric acid. Results A total of 17 RCTs with 24 trial comparisons were included, involving 1733 adults (mean [SD] age, 33.1 [6.6] years; 1341 women [77.4%]) with overweight or obesity who were at risk for or had diabetes. Overall, LNCSBs were a substitute for SSBs in 12 RCTs (n = 601 participants), water was a substitute for SSBs in 3 RCTs (n = 429), and LNCSBs were a substitute for water in 9 RCTs (n = 974). Substitution of LNCSBs for SSBs was associated with reduced body weight (MD, -1.06 kg; 95% CI, -1.71 to -0.41 kg), body mass index (MD, -0.32; 95% CI, -0.58 to -0.07), percentage of body fat (MD, -0.60%; 95% CI, -1.03% to -0.18%), and intrahepatocellular lipid (SMD, -0.42; 95% CI, -0.70 to -0.14). Substituting water for SSBs was not associated with any outcome. There was also no association found between substituting LNCSBs for water with any outcome except glycated hemoglobin A1c (MD, 0.21%; 95% CI, 0.02% to 0.40%) and systolic blood pressure (MD, -2.63 mm Hg; 95% CI, -4.71 to -0.55 mm Hg). The certainty of the evidence was moderate (substitution of LNCSBs for SSBs) and low (substitutions of water for SSBs and LNCSBs for water) for body weight and was generally moderate for all other outcomes across all substitutions. Conclusions and Relevance This systematic review and meta-analysis found that using LNCSBs as an intended substitute for SSBs was associated with small improvements in body weight and cardiometabolic risk factors without evidence of harm and had a similar direction of benefit as water substitution. The evidence supports the use of LNCSBs as an alternative replacement strategy for SSBs over the moderate term in adults with overweight or obesity who are at risk for or have diabetes.
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Affiliation(s)
- Néma D. McGlynn
- 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
| | - Lily Wang
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Roselyn Zhang
- 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
- Applied Human Nutrition, Mount Saint Vincent University, Halifax, Nova Scotia, 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
| | - 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
| | - Jennifer J. 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
| | - Jarvis C. Noronha
- 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
- Faculty of Medicine, School of Medicine, The University of Queensland, Brisbane, Australia
| | - Elena M. Comelli
- Department of Nutritional Sciences, Temerty Faculty of 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
| | - 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
| | - Vasanti S. Malik
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - James O. Hill
- Department of Nutrition Sciences, The University of Alabama at Birmingham, Birmingham
| | - 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
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Arnav Agarwal
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, Ontario, Canada
- Division of General Internal Medicine, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Per B. Jeppesen
- Department of Clinical Medicine, Aarhus University, Aarhus University Hospital, Aarhus, Denmark
| | - Dario Rahelić
- Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Zagreb, Croatia
- University of Zagreb School of Medicine, Zagreb, Croatia
- University of Osijek School of Medicine, Osijek, Croatia
| | - Hana Kahleová
- Institute for Clinical and Experimental Medicine, Diabetes Centre, Prague, Czech Republic
- Physicians Committee for Responsible Medicine, Washington, DC
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Human Nutrition Department, Institut d'Investigació Sanitària Pere Virgili, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - 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
| | - 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
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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30
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Campos V, Tappy L, Bally L, Sievenpiper JL, Lê KA. Importance of Carbohydrate Quality: What Does It Mean and How to Measure It? J Nutr 2022; 152:1200-1206. [PMID: 35179211 PMCID: PMC9071307 DOI: 10.1093/jn/nxac039] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/14/2022] [Accepted: 02/14/2022] [Indexed: 11/13/2022] Open
Abstract
Dietary carbohydrates are our main source of energy. Traditionally, they are classified based on the polymer length between simple and complex carbohydrates, which does not necessarily reflect their impact on health. Simple sugars, such as fructose, glucose, and lactose, despite having a similar energy efficiency and caloric content, have very distinct metabolic effects, leading to increased risk for various chronic diseases when consumed in excess. In addition, beyond the absolute amount of carbohydrate consumed, recent data point out that the food form or processing level can modulate both the energy efficiency and the cardiometabolic risk associated with specific carbohydrates. To account for both of these aspects-the quality of carbohydrates as well as its food form-several metrics can be proposed to help identifying carbohydrate-rich food sources and distinguish between those that would favor the development of chronic diseases and those that may contribute to prevent these. This review summarizes the findings presented during the American Society of Nutrition Satellite symposium on carbohydrate quality, in which these different aspects were presented.
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Affiliation(s)
- Vanessa Campos
- Department of Nutrition Sciences, Nestlé Research, 1000 Lausanne 26, Switzerland
| | - Luc Tappy
- Department of Diabetology, Endocrinology, Nutrition & Metabolism, Inselspital, Bern, Switzerland
| | - Lia Bally
- Department of Diabetology, Endocrinology, Nutrition & Metabolism, Inselspital, Bern, Switzerland
| | - John L Sievenpiper
- Departments of Nutritional Sciences and Medicine, University of Toronto, Toronto, Ontario, Canada,Division of Endocrinology & Metabolism, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada,Toronto 3D Knowledge Synthesis & Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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31
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Kaji N, Namekawa J, Takagi Y, Watanabe A, Nemoto S, Minami Y, Katayanagi A, Kobayashi T, Asai F. Fructose prevents the development of hyperglycemia in WBN/Kob diabetic fatty rats via maintaining high insulin levels. Clin Exp Pharmacol Physiol 2022; 49:577-585. [PMID: 35108433 DOI: 10.1111/1440-1681.13629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 01/05/2022] [Accepted: 01/20/2022] [Indexed: 11/27/2022]
Abstract
Fructose is considered to negatively affect type 2 diabetes mellitus (T2DM); however, there are contradictory reports. The present study aimed to elucidate the effects of fructose-rich diet (FRD) on glucose metabolism of WBN/Kob fatty diabetic (WBKDF) rats, a spontaneous T2DM model, and Wistar rats. WBKDF and Wistar rats were fed either FRD or standard diet (STD) for 4 weeks. The food intake, body weight, plasma glucose and insulin were measured weekly. After the 4-week challenge, rats were subjected to an intravenous glucose tolerance test (IVGTT). The liver and pancreas were used for histological analysis. The 4-week challenge of FRD in Wistar rats did not cause hyperglycemia, but increased insulin resistance (HOMA-IR). Feeding WBKDF rats with a FRD accelerated obesity but prevented the onset of severe hyperglycemia via maintaining high plasma insulin levels. HOMA-IR in WBKDF rats was not changed by FRD feeding. IVGTT revealed that FRD feeding in Wistar rats did not affect glucose tolerance, but slightly increased the plasma insulin level. In contrast, FRD feeding in WBKDF rats significantly reduced the glucose tolerance, but insulin response was not improved. FRD feeding did not alter the beta cell area in Wistar rats, but significantly increased it in WBKDF rats. In conclusion, FRD caused insulin resistance in Wistar rats, suggesting that fructose overconsumption is a risk factor for T2DM, whereas FRD inhibited severe hyperglycemia by maintaining high insulin levels in WBKDF rats. Fructose may be a beneficial sugar for T2DM patients with severe obesity-induced insulin resistance.
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Affiliation(s)
- Noriyuki Kaji
- Laboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, 252-5201, Japan
| | | | - Yoshiichi Takagi
- Laboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, 252-5201, Japan
| | - Ayaka Watanabe
- Laboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, 252-5201, Japan
| | - Sayaka Nemoto
- Laboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, 252-5201, Japan
| | | | | | - Taiki Kobayashi
- Laboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, 252-5201, Japan.,TEIJIN Pharma Limited, Hino, Tokyo, 191-8512, Japan
| | - Fumitoshi Asai
- Laboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, 252-5201, Japan
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El-Domiaty HF, Sweed E, Kora MA, Zaki NG, Khodir SA. Activation of angiotensin-converting enzyme 2 ameliorates metabolic syndrome-induced renal damage in rats by renal TLR4 and nuclear transcription factor κB downregulation. Front Med (Lausanne) 2022; 9:904756. [PMID: 36035416 PMCID: PMC9411523 DOI: 10.3389/fmed.2022.904756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 06/27/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is an independent risk factor for chronic kidney disease (CKD) through many mechanisms, including activation of the renin-angiotensin system. The deleterious effects of angiotensin II (Ang II) can be counterbalanced by angiotensin-converting enzyme 2 (ACE2). Diminazene aceturate (DIZE), an anti-trypanosomal drug, can activate ACE2. OBJECTIVE This study aimed to investigate the possible reno-protective effects of DIZE in MetS rats with elucidation of related mechanisms. MATERIALS AND METHODS Thirty adult male Wistar albino rats were divided equally into control, MetS, and MetS + DIZE groups. Body weight, systolic blood pressure (SBP), and urinary albumin levels were measured. Serum levels of fasting blood glucose (FBG), insulin, uric acid, lipid profile, urea, and creatinine were measured. Homeostasis Model Assessment Index (HOMA-IR) was estimated. Subsequently, renal levels of ACE2, Ang II, malondialdehyde (MDA), reduced glutathione (GSH), and tumor necrosis factor-α (TNF-α) were measured with histopathological and immunohistochemical assessment of TLR4 and NF-κB in renal tissues. RESULTS MetS caused dyslipidemia with significant increases in body weight, SBP, FBG, serum insulin, HOMA-IR, uric acid, urea, creatinine, urinary albumin, and renal levels of Ang II, MDA, and TNF-α, whereas renal ACE2 and GSH were significantly decreased. Renal TLR4 and NF-κB immunoreactivity in MetS rats was upregulated. DIZE supplementation of MetS rats induced significant improvements in renal function parameters; this could be explained by the ability of DIZE to activate renal ACE2 and decrease renal Ang II levels with downregulation of renal TLR4 and NF-κB expression. CONCLUSION DIZE exerts a reno-protective effect in MetS, mainly by downregulating renal TLR4 and NF-κB levels.
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Affiliation(s)
- Heba F. El-Domiaty
- Department of Medical Physiology, Faculty of Medicine, Menoufia University, Menoufia, Egypt
| | - Eman Sweed
- Department of Clinical Pharmacology, Faculty of Medicine, Menoufia University, Menoufia, Egypt
- *Correspondence: Eman Sweed,
| | - Mona A. Kora
- Department of Pathology, Faculty of Medicine, Menoufia University, Menoufia, Egypt
| | - Nader G. Zaki
- Department of Anatomy and Embryology, Faculty of Medicine, Menoufia University, Menoufia, Egypt
| | - Suzan A. Khodir
- Department of Medical Physiology, Faculty of Medicine, Menoufia University, Menoufia, Egypt
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Liu Y, Wei Y, Wu L, Lin X, Sun R, Chen H, Shen S, Deng G. Fructose Induces Insulin Resistance of Gestational Diabetes Mellitus in Mice via the NLRP3 Inflammasome Pathway. Front Nutr 2022; 9:839174. [PMID: 35495917 PMCID: PMC9040551 DOI: 10.3389/fnut.2022.839174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 02/28/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Insulin resistance (IR), which is affected by dietary factors, is the main pathology underlying of gestational diabetes mellitus (GDM). Fructose (Fru), a sugar found in fruits, honey, and food sweeteners, has been reported to induce IR and inflammation. This study explored the effects and mechanisms of Fru on IR of GDM in pregnant and postpartum mice and their offspring. METHODS The 6-week-old female C57BL/6J mice were randomly divided into control (Chow) and fructose (Fru) groups, with the latter receiving 20% (w/v) Fru in drinking water from 2 weeks before pregnancy to the end of pregnancy. The effects of Fru on IR and inflammation were determined using serum parameters, glucose metabolism tests, immunohistochemistry, and western blotting. RESULTS Compared with the Chow group mice, pregnant mice treated with Fru exhibited greater gestational weight gain, higher fasting blood glucose and insulin concentrations, and a higher homeostasis model of assessment (HOMA) for IR index, but a lower HOMA for insulin sensitivity index. Treatment with Fru also increased the concentrations of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), IL-17, and C-reactive protein in sera and the expression of IL-6, TNF-α, IL-17, and IL-1β mRNA in liver tissues of pregnant mice. Both CD68 and IL-1β positive cell were increased in Fru-treated mice compared with in Chow mice. Fru treatment also promoted IR and inflammation in mice at 4 weeks after delivery and in offspring mice. Mechanistically, Fru promoted the nuclear translocation of nuclear factor-kappa B (NF-κB) p65 to activate the nucleotide-binding domain-like receptor protein 3 (NLRP3) inflammasome. CONCLUSIONS Exposure to Fru before and during pregnancy induced IR in pregnant mice, which continued at 4 weeks postpartum and affected the offspring. The effects of Fru may be associated with activation of the NF-κB-NLRP3 pathway.
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Affiliation(s)
- Yao Liu
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Yuanhuan Wei
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Lanlan Wu
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Xiaoping Lin
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Nutrition and Food Hygiene, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ruifang Sun
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Hengying Chen
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
| | - Siwen Shen
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
| | - Guifang Deng
- Department of Clinical Nutrition, Union Shenzhen Hospital of Huazhong University of Science and Technology, Shenzhen, China
- *Correspondence: Guifang Deng
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OUP accepted manuscript. Nutr Rev 2022; 80:2017-2028. [DOI: 10.1093/nutrit/nuac020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Ruxton CHS, Derbyshire E, Sievenpiper JL. Pure 100% fruit juices – more than just a source of free sugars? A review of the evidence of their effect on risk of cardiovascular disease, type 2 diabetes and obesity. NUTR BULL 2021. [DOI: 10.1111/nbu.12526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
| | | | - John L. Sievenpiper
- Departments of Nutritional Sciences and Medicine Temerty Faculty of Medicine University of Toronto Toronto ON Canada
- Division of Endocrinology and Metabolism Department of Medicine St. Michael’s Hospital Toronto ON Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit Clinical Nutrition and Risk Factor Modification Centre St. Michael’s Hospital Toronto ON Canada
- Li Ka Shing Knowledge Institute St. Michael’s Hospital Toronto ON Canada
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Kanukula R, McKenzie JE, Bero L, Dai Z, McDonald S, Kroeger CM, Korevaar E, Page MJ. Methods used to select results to include in meta-analyses of nutrition research: a meta-research study. J Clin Epidemiol 2021; 142:171-183. [PMID: 34780979 DOI: 10.1016/j.jclinepi.2021.11.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/27/2021] [Accepted: 11/08/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To investigate how often review authors encounter multiple results from included studies that are eligible for inclusion in a particular meta-analysis, and how often methods to select results are specified. METHODS MEDLINE and Epistemonikos were searched (January 2018 - June 2019) to identify systematic reviews with meta-analysis of the association between food/diet and health-related outcomes. A random sample of these reviews was selected, and for the first presented ('index') meta-analysis, rules used to select effect estimates to include in this meta-analysis were extracted from the reviews and their protocols. All effect estimates from the primary studies that were eligible for inclusion in the index meta-analyses were extracted (e.g. when a study report presented effect estimates for blood pressure at 3 weeks and 6 weeks, both unadjusted and adjusted for covariates, and all were eligible for inclusion in a meta-analysis of the effect of red meat consumption on blood pressure, we extracted all estimates and classified the study as having "multiplicity of results"). RESULTS Forty-two systematic reviews with 325 studies (104 randomized, 221 non-randomized) were included; 14 reviews had a protocol. In 29% of review protocols and 69% of reviews, authors specified at least one decision rule to select effect estimates when multiple were available. In 68% of studies included in the index meta-analyses, there was at least one type of multiplicity of results. CONCLUSIONS Authors of systematic reviews of nutrition studies should anticipate encountering multiplicity of results in the included primary studies. Specification of methods to handle multiplicity when designing reviews is therefore recommended.
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Affiliation(s)
- Raju Kanukula
- School of Public Health and Preventative Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3004, Australia
| | - Joanne E McKenzie
- School of Public Health and Preventative Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3004, Australia
| | - Lisa Bero
- Center for Bioethics and Humanities, University of Colorado Anschutz Medical Campus, 13080 E. 19th Ave, Aurora, CO 80045, United States
| | - Zhaoli Dai
- Australian Institute of Health Innovation, Macquarie University, 75 Talavera Rd, North Ryde, NSW 2113, Australia; Charles Perkins Centre, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, D17, The Hub, 6th Floor, Camperdown, NSW, 2006, Australia
| | - Sally McDonald
- Charles Perkins Centre, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, D17, The Hub, 6th Floor, Camperdown, NSW, 2006, Australia
| | - Cynthia M Kroeger
- Charles Perkins Centre, Central Clinical School, Faculty of Medicine and Health, The University of Sydney, D17, The Hub, 6th Floor, Camperdown, NSW, 2006, Australia
| | - Elizabeth Korevaar
- School of Public Health and Preventative Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3004, Australia
| | - Matthew J Page
- School of Public Health and Preventative Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3004, Australia.
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Pang S, Song P, Sun X, Qi W, Yang C, Song G, Wang Y, Zhang J. Dietary fructose and risk of metabolic syndrome in Chinese residents aged 45 and above: results from the China National Nutrition and Health Survey. Nutr J 2021; 20:83. [PMID: 34602079 PMCID: PMC8489071 DOI: 10.1186/s12937-021-00739-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 09/20/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND A growing number of researches supported that dietary fructose was associated with most of the key features of metabolic syndrome (MetS). However, there was no related epidemiological studies among Chinese population, despite the sharp increase in MetS cases. This study explores the relationship between dietary fructose and MetS among Chinese residents aged 45 and above. METHODS A total of 25,528 participants (11,574 males and 13,954 females) were included in this nationwide representative cross-sectional study of China National Nutrition and Health Survey. Dietary fructose intake was assessed by 3-day 24-h dietary records. MetS was defined by the International Diabetes Federation and Chinese Diabetes Society criteria. RESULTS The consumption of dietary fructose was 11.6 g/day for urban residents and 7.6 g/day for rural residents. Fruits and vegetables as well as their products were the main sources of fructose intake. There was no association between dietary fructose intake and the odds of having MetS in both urban (P = 0.315) and rural residents (P = 0.230) after adjustment for confounding factors. Moreover, for urban residents participating physical activities, the odds of having MetS in the fourth quartiles (OR: 0.67; 95%CI: 0.52-0.87) was lower than that in the first quartile. In the sensitivity analysis, a significant reduction in the odds of having MetS was also found in the fourth quartiles (OR, 95%CI: 0.68, 0.51-0.90; 0.67, 0.49-0.91; 0.74, 0.56-0.99) compared with the first quartile when excluding smokers, alcohol users, and underweight/obesity, respectively. And there was no association between dietary fructose intake and the odds of having MetS after multivariate adjustment stratified by gender, smoking and alcohol use. CONCLUSIONS Under the current dietary fructose intake status, there was no association between dietary fructose intake and the odds of having MetS among Chinese residents aged 45 and above. Physical activity and relatively low fructose intake may have a beneficial synergistic effect on MetS.
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Affiliation(s)
- Shaojie Pang
- Institute of Grain Quality and Nutrition Research, Academy of National Food and Strategic Reserves Administration, Beijing, 100037, People's Republic of China
| | - Pengkun Song
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, People's Republic of China
| | - Xueqian Sun
- Research and Development center of Shandong Xiwang Sugar Co. Ltd, National Corn Deep Processing Industry Technology Innovation Center, Binzhou, People's Republic of China
| | - Wentao Qi
- Institute of Grain Quality and Nutrition Research, Academy of National Food and Strategic Reserves Administration, Beijing, 100037, People's Republic of China.
| | - Chun Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, 100069, People's Republic of China
| | - Ge Song
- Institute of Grain Quality and Nutrition Research, Academy of National Food and Strategic Reserves Administration, Beijing, 100037, People's Republic of China
| | - Yong Wang
- Institute of Grain Quality and Nutrition Research, Academy of National Food and Strategic Reserves Administration, Beijing, 100037, People's Republic of China
| | - Jian Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, People's Republic of China.
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Skurk T, Bosy-Westphal A, Grünerbel A, Kabisch S, Keuthage W, Kronsbein P, Müssig K, Pfeiffer AFH, Simon MC, Tombek A, Weber KS, Rubin D. Empfehlungen zur Ernährung von Personen mit Typ-2-Diabetes mellitus. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1543-1293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Thomas Skurk
- ZIEL- Institute for Food & Health, Technische Universität München, Freising
- Else Kröner-Fresenius-Zentrum für Ernährungsmedizin, Technische Universität München, Freising
| | - Anja Bosy-Westphal
- Institut für Humanernährung, Agrar- und Ernährungswissenschaftliche Fakultät, Christian-Albrechts-Universität zu Kiel, Kiel
| | | | - Stefan Kabisch
- Abt. Endokrinologie, Diabetes und Ernährungsmedizin, Charité Universitätsmedizin Berlin, Berlin
- Deutsche Zentrum für Diabetesforschung (DZD), München
| | | | - Peter Kronsbein
- Fachbereich Oecotrophologie, Hochschule Niederrhein, Campus Mönchengladbach
| | - Karsten Müssig
- Klinik für Innere Medizin und Gastroenterologie, Niels-Stensen-Kliniken, Franziskus-Hospital Harderberg, Georgsmarienhütte
| | - Andreas F. H. Pfeiffer
- Abt. Endokrinologie, Diabetes und Ernährungsmedizin, Charité Universitätsmedizin Berlin, Berlin
| | - Marie-Christine Simon
- Institut für Ernährungs- und Lebensmittelwissenschaften, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn
| | | | - Katharina S. Weber
- Institut für Epidemiologie, Christian-Albrechts-Universität zu Kiel, Kiel
| | - Diana Rubin
- Vivantes Klinikum Spandau, Berlin
- Vivantes Humboldt Klinikum, Berlin
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Choowong P, Wali JA, Nguyen ATM, Jayasinghe TN, Eberhard J. Macronutrient-induced modulation of periodontitis in rodents-a systematic review. Nutr Rev 2021; 80:1160-1178. [PMID: 34459490 DOI: 10.1093/nutrit/nuab048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
CONTEXT Consumption of dietary macronutrients is associated with the progression of a wide range of inflammatory diseases, either by direct modulation of host immune response or via microbiome. This includes periodontitis, a disease affecting tooth-supporting tissues. OBJECTIVE The aim of this work was to systematically review studies focusing on the effect of macronutrient (ie, carbohydrate, protein, fat) intake on periodontitis in rodents. DATA SOURCES Electronic searches were performed in February 2021 using the PubMed and Web of Science databases. Out of 883 articles reviewed, 23 studies were selected for additional analysis. DATA EXTRACTION Investigators extracted relevant data, including author names; the year of publication; article title; macronutrient composition; number and species of animals and their age at the start of the experiment; intervention period; method of periodontitis induction; and primary and secondary periodontitis outcomes. Quality assessment was done using the risk-of-bias tool for animal studies. After completing the data extraction, descriptive statistical information was obtained. DATA ANALYSIS High intakes of dietary cholesterol, saturated fatty acids, and processed carbohydrates such as sucrose, and protein-deficient diets were positively associated with periodontitis in rodents. This included greater amounts of alveolar bone loss, more lesions on periodontal tissues, and dental plaque accumulation. In contrast, high doses of milk basic protein in diets and diets with a high ratio of ω-3 to ω-6 fatty acids were negatively associated with periodontitis in rodents. CONCLUSION This work highlights the fact that, despite the large body of evidence linking macronutrients with inflammation and ageing, overall there is little information on how dietary nutrients affect periodontitis in animal models. In addition, there is inconsistency in data due to differences in methodology, outcome measurement, and dietary formulation. More studies are needed to examine the effects of different dietary macronutrients on periodontitis and investigate the underlying biological mechanisms.
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Affiliation(s)
- Phannaphat Choowong
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Jibran A Wali
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia
| | - Anh Thi Mai Nguyen
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Thilini N Jayasinghe
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Joerg Eberhard
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
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Distinct Impact of Natural Sugars from Fruit Juices and Added Sugars on Caloric Intake, Body Weight, Glycaemia, Oxidative Stress and Glycation in Diabetic Rats. Nutrients 2021; 13:nu13092956. [PMID: 34578832 PMCID: PMC8468124 DOI: 10.3390/nu13092956] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 08/19/2021] [Accepted: 08/21/2021] [Indexed: 11/17/2022] Open
Abstract
Although fruit juices are a natural source of sugars, there is a controversy whether their sugar content has similar harmful effects as beverages’ added-sugars. We aimed to study the role of fruit juice sugars in inducing overweight, hyperglycaemia, glycation and oxidative stress in normal and diabetic animal models. In diabetic Goto-Kakizaki (GK) rats, we compared the effects of four different fruit juices (4-weeks) with sugary solutions having a similar sugar profile and concentration. In vitro, the sugary solutions were more susceptible to AGE formation than fruit juices, also causing higher postprandial glycaemia and lower erythrocytes’ antioxidant capacity in vivo (single intake). In GK rats, ad libitum fruit juice consumption (4-weeks) did not change body weight, glycaemia, oxidative stress nor glycation. Consumption of a matched volume of sugary solutions aggravated fasting glycaemia but had a moderate impact on caloric intake and oxidative stress/glycation markers in tissues of diabetic rats. Ad libitum availability of the same sugary solutions impaired energy balance regulation, leading to higher caloric intake than ad libitum fruit juices and controls, as well as weight gain, fasting hyperglycaemia, insulin intolerance and impaired oxidative stress/glycation markers in several tissues. We demonstrated the distinct role of sugars naturally present in fruit juices and added sugars in energy balance regulation, impairing oxidative stress, glycation and glucose metabolism in an animal model of type 2 diabetes.
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Consequences of Paternal Nutrition on Offspring Health and Disease. Nutrients 2021; 13:nu13082818. [PMID: 34444978 PMCID: PMC8400857 DOI: 10.3390/nu13082818] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 08/10/2021] [Accepted: 08/13/2021] [Indexed: 12/30/2022] Open
Abstract
It is well established that the maternal diet during the periconceptional period affects the progeny’s health. A growing body of evidence suggests that the paternal diet also influences disease onset in offspring. For many years, sperm was considered only to contribute half of the progeny’s genome. It now appears that it also plays a crucial role in health and disease in offspring’s adult life. The nutritional status and environmental exposure of fathers during their childhood and/or the periconceptional period have significant transgenerational consequences. This review aims to describe the effects of various human and rodent paternal feeding patterns on progeny’s metabolism and health, including fasting or intermittent fasting, low-protein and folic acid deficient food, and overnutrition in high-fat and high-sugar diets. The impact on pregnancy outcome, metabolic pathways, and chronic disease onset will be described. The biological and epigenetic mechanisms underlying the transmission from fathers to their progeny will be discussed. All these data provide evidence of the impact of paternal nutrition on progeny health which could lead to preventive diet recommendations for future fathers.
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Lu X, Lu J, Fan Z, Liu A, Zhao W, Wu Y, Zhu R. Both Isocarbohydrate and Hypercarbohydrate Fruit Preloads Curbed Postprandial Glycemic Excursion in Healthy Subjects. Nutrients 2021; 13:nu13072470. [PMID: 34371978 PMCID: PMC8308803 DOI: 10.3390/nu13072470] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 11/16/2022] Open
Abstract
This study aimed to investigate the impact of fruit preloads on the acute postprandial glycemic response (PGR) and satiety response of a rice meal in healthy female subjects based on iso-carbohydrate (IC) and hyper-carbohydrate (HC) contents, respectively. The IC test meals including (1) rice preload (R + 35R), (2) orange preload (O + 35R), (3) apple preload (A + 35R) and (4) pear preload (P + 35R), contained 50.0 g available carbohydrates (AC) where the preload contributed 15.0 g and rice provided 35.0 g. The HC meals included (1) orange preload (O + 50R), (2) apple preload (A+50R) and (3) pear preload (P + 50R), each containing 65.0 g AC, where the fruits contributed 15.0 g and rice provided 50.0 g. Drinking water 30 min before the rice meal was taken as reference (W + 50R). All the preload treatments, irrespective of IC or HC meals, resulted in remarkable reduction (p < 0.001) in terms of incremental peak glucose (IPG) and the maximum amplitude of glycemic excursion in 180 min (MAGE0–180), also a significant decrease (p < 0.05) in the area of PGR contributed by per gram of AC (AAC), compared with the W + 50R. Apple elicited the lowest PGR among all test meals, as the A + 35R halved the IPG and slashed the incremental area under the curve in 180 min (iAUC0–180) by 45.7%, while the A + 50R reduced the IPG by 29.7%, compared with the W + 50R. All the preload meals and the reference meal showed comparable self-reported satiety in spite of the difference in AC. In conclusion, pre-meal consumption of three fruits effectively curbed post-meal glycemia even in the case of a 30% extra carbohydrate load.
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Affiliation(s)
- Xuejiao Lu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (X.L.); (J.L.); (A.L.); (W.Z.); (Y.W.); (R.Z.)
| | - Jiacan Lu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (X.L.); (J.L.); (A.L.); (W.Z.); (Y.W.); (R.Z.)
| | - Zhihong Fan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (X.L.); (J.L.); (A.L.); (W.Z.); (Y.W.); (R.Z.)
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China
- Correspondence: ; Tel.: +86-10-62737717
| | - Anshu Liu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (X.L.); (J.L.); (A.L.); (W.Z.); (Y.W.); (R.Z.)
| | - Wenqi Zhao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (X.L.); (J.L.); (A.L.); (W.Z.); (Y.W.); (R.Z.)
| | - Yixue Wu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (X.L.); (J.L.); (A.L.); (W.Z.); (Y.W.); (R.Z.)
| | - Ruixin Zhu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (X.L.); (J.L.); (A.L.); (W.Z.); (Y.W.); (R.Z.)
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The Effect of Honey on Lipid Profiles: A Systematic Review and Meta-analysis of Controlled Clinical Trials. Br J Nutr 2021; 127:1482-1496. [PMID: 34218823 DOI: 10.1017/s0007114521002506] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Honey is known not only as a natural food but also as complementary medicine. According to the controversial evidence about the effects of honey on blood lipids, this meta-analysis was performed to investigate the potential effects of honey on lipid profiles. Relevant studies were identified by searching PubMed, Web of Science (WOS), Scopus, EMBASE, and Cochrane databases. All human controlled clinical trials (either with a parallel or a crossover design) published in English that reported changes in serum lipid markers (Total Cholesterol (TC), Triglyceride (TG), Low Density Lipoprotein Cholesterol (LDL-C), High Density Lipoprotein Cholesterol (HDL-C), and LDL-C/HDL-C ratio) following honey consumption were considered. Standardized Mean Differences (SMDs) and their respective 95% Confidence Intervals (CIs) were calculated to assess the changes in lipid profiles following honey consumption by random effects model. Statistical heterogeneity, sensitivity analysis, publication bias, and quality of the included studies were assessed, as well. The meta-analysis of 23 trials showed that honey had no significant effects on TC, TG, LDL-C, HDL-C, and LDL-C/HDL-C ratio. Significant heterogeneity was seen among the studies for all the studied factors (I2 index > 50%). Subgroup analysis based on the lipid profile status, types of honey, and intervention duration revealed no significant effect on TC, TG, LDL-C, and HDL-C. Quality of the evidences varied form very low to moderate according to various parameters. In conclusion, honey consumption did not affect serum lipid profiles (TC, TG, LDL-C, HDL-C, and LDL-C/HDL-C ratio).
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Gunawan S, Aulia A, Soetikno V. Development of rat metabolic syndrome models: A review. Vet World 2021; 14:1774-1783. [PMID: 34475697 PMCID: PMC8404106 DOI: 10.14202/vetworld.2021.1774-1783] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 05/27/2021] [Indexed: 12/16/2022] Open
Abstract
Metabolic syndrome (MetS) has become a global problem. With the increasing prevalence of MetS worldwide, understanding its pathogenesis and treatment modalities are essential. Animal models should allow an appropriate representation of the clinical manifestations of human conditions. Rats are the most commonly used experimental animals for the study. The development of a proper MetS model using rats will contribute to the successful application of research findings to the clinical setting. Various intervention methods are used to induce MetS through diet induction with various compositions, chemicals, or a combination of both. This review will provide a comprehensive overview of several studies on the development of rat MetS models, along with the characteristics of the clinical manifestations resulting from each study.
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Affiliation(s)
- Shirly Gunawan
- Department of Pharmacology, Faculty of Medicine, Universitas Tarumanagara, Jakarta, Indonesia
- Doctoral Programme in Biomedical Science Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Ahmad Aulia
- Department of Histology, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Vivian Soetikno
- Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
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Te Morenga L, Mallard SR, Ormerod FB. No Effect of Added Sugars in Soft Drink Compared With Sugars in Fruit on Cardiometabolic Risk Factors: Results From a 4-Week, Randomized Controlled Trial. Front Nutr 2021; 8:636275. [PMID: 34277676 PMCID: PMC8277919 DOI: 10.3389/fnut.2021.636275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 06/02/2021] [Indexed: 11/24/2022] Open
Abstract
High intakes of added sugar from soft drinks are associated with negative health outcomes such as the increased risk of gout and type 2 diabetes, weight gain and cardiovascular disease. Fruits are naturally high in sugars but their effect on cardiometabolic risk remains unknown. We examined the effect on cardiometabolic risk factors of consuming natural sugars from fruit or added sugars from sugar-sweetened soft drinks in overweight adults. Forty-eight healthy, overweight (BMI ≥ 28 kg/m2) men (n = 21) and women (n = 20) were randomized to either a fruit (n = 19) or sugar-sweetened soft drink (n = 22) intervention for 4 weeks. The fruit group received 6 items of fresh and dried fruit per day and the sugar-sweetened soft drink group received 955 ml of sugar-sweetened soft drink per day. The interventions were matched for both energy (fruit: 1,800 kJ/d; soft drink: 1,767 kJ/d) and fructose content (fruit: 51.8 g/d; soft drink: 51.7 g/d). The soft drink intervention provided 101 g total sugars, which was all added sugar and the fruit intervention provided 97 g total sugars, which were all natural sugars. Dietary intakes were otherwise ad libitum. Despite being asked to consume additional sugar (up to 1,800 additional kJ/d), there were no changes in weight, blood pressure or other cardiometabolic risk factors, except by uric acid, in any of the intervention groups. In conclusion, our findings do not provide any evidence that short-term regular intake of added sugars is linked to higher cardiometabolic risks, with exception of uric acid in overweight men. Public health interventions to prevent obesity and related diseases should focus on the quality of the whole diet rather than only focusing on reducing sugary drinks or sugar intakes.
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Affiliation(s)
- Lisa Te Morenga
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Simonette R Mallard
- Riddet Centre of Research Excellence, University of Otago, Dunedin, New Zealand.,Edgar Diabetes and Obesity Research, University of Otago, Dunedin, New Zealand
| | - Fabiane B Ormerod
- School of Health, VIC University of Wellington, Wellington, New Zealand
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46
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Wali JA, Milner AJ, Luk AWS, Pulpitel TJ, Dodgson T, Facey HJW, Wahl D, Kebede MA, Senior AM, Sullivan MA, Brandon AE, Yau B, Lockwood GP, Koay YC, Ribeiro R, Solon-Biet SM, Bell-Anderson KS, O'Sullivan JF, Macia L, Forbes JM, Cooney GJ, Cogger VC, Holmes A, Raubenheimer D, Le Couteur DG, Simpson SJ. Impact of dietary carbohydrate type and protein-carbohydrate interaction on metabolic health. Nat Metab 2021; 3:810-828. [PMID: 34099926 DOI: 10.1038/s42255-021-00393-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 04/19/2021] [Indexed: 02/07/2023]
Abstract
Reduced protein intake, through dilution with carbohydrate, extends lifespan and improves mid-life metabolic health in animal models. However, with transition to industrialised food systems, reduced dietary protein is associated with poor health outcomes in humans. Here we systematically interrogate the impact of carbohydrate quality in diets with varying carbohydrate and protein content. Studying 700 male mice on 33 isocaloric diets, we find that the type of carbohydrate and its digestibility profoundly shape the behavioural and physiological responses to protein dilution, modulate nutrient processing in the liver and alter the gut microbiota. Low (10%)-protein, high (70%)-carbohydrate diets promote the healthiest metabolic outcomes when carbohydrate comprises resistant starch (RS), yet the worst outcomes were with a 50:50 mixture of monosaccharides fructose and glucose. Our findings could explain the disparity between healthy, high-carbohydrate diets and the obesogenic impact of protein dilution by glucose-fructose mixtures associated with highly processed diets.
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Affiliation(s)
- Jibran A Wali
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia.
| | - Annabelle J Milner
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Alison W S Luk
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Tamara J Pulpitel
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Tim Dodgson
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Harrison J W Facey
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Devin Wahl
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Melkam A Kebede
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mitchell A Sullivan
- Mater Research Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Amanda E Brandon
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Belinda Yau
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Glen P Lockwood
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Yen Chin Koay
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, The University of Sydney, Sydney, New South Wales, Australia
| | - Rosilene Ribeiro
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Samantha M Solon-Biet
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Kim S Bell-Anderson
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - John F O'Sullivan
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, The University of Sydney, Sydney, New South Wales, Australia
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Laurence Macia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Josephine M Forbes
- Mater Research Institute, The University of Queensland, Translational Research Institute, Brisbane, Queensland, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Andrew Holmes
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- The University of Sydney, ANZAC Research Institute, Sydney, New South Wales, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
- Faculty of Science, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.
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47
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Motallaei M, Ramezani-Jolfaie N, Mohammadi M, Shams-Rad S, Jahanlou AS, Salehi-Abargouei A. Effects of orange juice intake on cardiovascular risk factors: A systematic review and meta-analysis of randomized controlled clinical trials. Phytother Res 2021; 35:5427-5439. [PMID: 34060162 DOI: 10.1002/ptr.7173] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 04/16/2021] [Accepted: 05/16/2021] [Indexed: 12/29/2022]
Abstract
Previous investigations exploring the effects of orange juice (OJ) as a nutrient-dense beverage on cardiovascular risk factors were inconsistent. We aimed to conduct a systematic review and meta-analysis of randomized controlled clinical trials to determine the effectiveness of OJ intake on major cardiometabolic markers including anthropometric indices, blood pressure, lipid profile, inflammation, and glycemic control markers. PubMed, Scopus, and ISI Web of Science were searched from inception until January 2021. Fifteen eligible trials with 639 participants were included in the present study. The meta-analysis showed that OJ intake significantly reduces circulating total cholesterol levels (10 trials; weighted mean difference [WMD] = -6.84 mg/dl; 95% CI: -12.38 to -1.29; p = .01) and homeostatic model assessment for insulin resistance (four trials; WMD = -0.39, 95% CI: -0.77 to -0.006; p = .04) compared to control group. The analyses failed to reveal a significant effect of OJ intake on other cardiometabolic risk factors (p > .05). This review suggests that the intake of OJ might be associated with improved serum total cholesterol and insulin sensitivity. Due to low-to-moderate quality of meta-evidence, our results must be interpreted with caution and more well-designed studies are still needed to confirm the current findings.
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Affiliation(s)
- Maryam Motallaei
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.,Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Nahid Ramezani-Jolfaie
- Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mohammad Mohammadi
- Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Shamim Shams-Rad
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.,Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Alireza Shahab Jahanlou
- Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Amin Salehi-Abargouei
- Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.,Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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48
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Ruxton CHS, Myers M. Fruit Juices: Are They Helpful or Harmful? An Evidence Review. Nutrients 2021; 13:nu13061815. [PMID: 34071760 PMCID: PMC8228760 DOI: 10.3390/nu13061815] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 05/20/2021] [Accepted: 05/25/2021] [Indexed: 12/11/2022] Open
Abstract
Dietary guidelines often deal with 100% fruit juice (FJ) inconsistently because it represents a source of free sugars. However, FJ also provides bioavailable micronutrients and plant bioactives at levels similar to those found in whole fruits. The present review weighs up the evidence from high-quality studies investigating a potential health harm for FJ against evidence from studies which indicate a potential health benefit. The findings reveal that FJ consumption, at moderate intakes consistent with the dietary guidelines for the US and some European countries (75-224 mL daily), does not increase the risk of obesity, type 2 diabetes, cardiovascular disease or poor glycaemic control. In contrast, regular consumption of FJ-even up to 500 mL per day in short-to-medium-term studies-appears to confer a health benefit in terms of vascular function and reduced blood pressure. Emerging evidence for cognitive health benefits requires further investigation in human trials. Observational studies report associations between FJ and nutrient adequacy and suggest that FJ consumption is associated with reduced risk of stroke. In conclusion, FJ appears to offer more benefit than risk and there appears to be no justification for discouraging FJ within a balanced diet for children and adults.
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Affiliation(s)
- Carrie H. S. Ruxton
- Nutrition Communications, East Road, Cupar KY15 4HQ, UK
- Correspondence: ; Tel.: +44-7973-337757
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49
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Fattore E, Botta F, Bosetti C. Effect of fructose instead of glucose or sucrose on cardiometabolic markers: a systematic review and meta-analysis of isoenergetic intervention trials. Nutr Rev 2021; 79:209-226. [PMID: 33029629 DOI: 10.1093/nutrit/nuaa077] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 06/05/2020] [Accepted: 06/28/2020] [Indexed: 12/25/2022] Open
Abstract
CONTEXT Free, or added, sugars are considered important determinants in the pandemics of obesity and associated chronic diseases, and fructose has emerged as the sugar of main concern. OBJECTIVE The aim of this review was to assess the evidence of the effects of isoenergetic replacement of fructose or high-fructose corn syrup (HFCS) for glucose or sucrose on cardiometabolic markers in controlled dietary intervention trials. DATA SOURCES The electronic databases PubMed/MEDLINE, the Cochrane Library, and Embase were searched from 1980 to May 5, 2020. STUDY SELECTION Studies were eligible if they measured at least one of the following outcomes: total cholesterol, low- and high-density lipoprotein cholesterol, triacylglycerols, apolipoprotein A1, apolipoprotein B, systolic blood pressure, diastolic blood pressure, fasting glucose, and body weight. DATA EXTRACTION For each outcome, the mean values and the corresponding measure of dispersion were extracted after the intervention or control diet. DATA ANALYSIS Fixed-effects and random-effects models were used to pool study-specific estimates. Between-study heterogeneity was assessed by the χ2 test and the I2 statistic and publication bias by the Egger test and funnel plots. RESULTS Twenty-five studies involving 1744 volunteers were identified. No significant effects were found when fructose or HFCS was substituted for glucose, except for a slight decrease in diastolic blood pressure when fructose was substituted for glucose. Similarly, no effects were found when fructose or HFCS was substituted for sucrose, except for a small increase, of uncertain clinical significance, of apolipoprotein B when HFCS was substituted for sucrose. CONCLUSIONS Isoenergetic substitution of fructose or HFCS for glucose or sucrose has no significant effect on most of the cardiometabolic markers investigated; however, some results were affected by residual between-study heterogeneity and studies with high or unclear risk of bias. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration number CRD42016042930.
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Affiliation(s)
- Elena Fattore
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Francesca Botta
- Department of Statistics and Quantitative Methods, Università degli Studi di Milano-Bicocca, Milan, Italy, and with 1MED SA, Agno, Switzerland
| | - Cristina Bosetti
- Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
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50
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Haimoto H, Watanabe S, Maeda K, Murase T, Wakai K. Reducing Carbohydrate from Individual Sources Has Differential Effects on Glycosylated Hemoglobin in Type 2 Diabetes Mellitus Patients on Moderate Low-Carbohydrate Diets. Diabetes Metab J 2021; 45:390-403. [PMID: 32794380 PMCID: PMC8164948 DOI: 10.4093/dmj.2020.0033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 04/21/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND We evaluated decreases in glycosylated hemoglobin (HbA1c) achieved by reducing carbohydrate from various sources in type 2 diabetes mellitus patients. METHODS We followed up 138 male and 107 female outpatients on a moderate low-carbohydrate diet without diabetic medication for 6 months. Changes in carbohydrate sources (Δcarbohydrate) were assessed from 3-day dietary records at baseline and 6 months, and associations with changes in HbA1c (ΔHbA1c) were examined with Spearman's correlation coefficients (rs) and multiple regression analysis. RESULTS ΔHbA1c was -1.5%±1.6% in men and -0.9%±1.3% in women, while Δtotal carbohydrate was -115.3±103.7 g/day in men and -63.6±71.1 g/day in women. Positive associations with ΔHbA1c were found for Δtotal carbohydrate (rs=0.584), Δcarbohydrate from soft drinks (0.368), confectionery (0.361), rice (0.325), bread (0.221), Chinese soup noodles (0.199) in men, and Δtotal carbohydrate (0.547) and Δcarbohydrate from rice (0.376) and confectionery (0.195) in women. Reducing carbohydrate sources by 50 g achieved decreases in HbA1c of 0.43% for total carbohydrate, 1.33% for soft drinks, 0.88% for confectionery, 0.63% for bread, 0.82% for Chinese soup noodles and 0.34% for rice in men and 0.45% for total carbohydrate, 0.67% for confectionery and 0.34% for rice in women, although mean reductions in carbohydrate from these sources were much smaller than that from rice. CONCLUSION Decreases in HbA1c achieved by reducing carbohydrate from soft drinks, confectionery, bread and Chinese soup noodles were 2- to 4-fold greater than that for rice. Our results will enable patients to decrease HbA1c efficiently (UMIN000009866).
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Affiliation(s)
- Hajime Haimoto
- Department of Internal Medicine, Haimoto Clinic, Kasugai, Japan
| | - Shiho Watanabe
- Division of Clinical Nutrition, Haimoto Clinic, Kasugai, Japan
| | - Keiko Maeda
- Department of Health and Nutritional Sciences, Faculty of Health and Sciences, Aichi Shukutoku University, Nagakute, Japan
| | - Takashi Murase
- Division of Endocrinology and Diabetes, Libra Sasashima Medical Clinic, Nagoya, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
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