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Slusher AL, Hu P, Samuels S, Tokoglu F, Lat J, Li Z, Alguard M, Strober J, Vatner D, Shabanova V, Caprio S. Rising NAFLD and metabolic severity during the Sars-CoV-2 pandemic among children with obesity in the United States. Obesity (Silver Spring) 2023; 31:1383-1391. [PMID: 36694381 PMCID: PMC10186584 DOI: 10.1002/oby.23728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Nonalcoholic fatty liver disease (NAFLD), the most common liver disease among youth with obesity, precedes more severe metabolic and liver diseases. However, the impact of the Sars-CoV-2 global pandemic on the prevalence and severity of NAFLD and the associated metabolic phenotype among youth with obesity is unknown. METHODS Participants were recruited from the Yale Pediatric Obesity Clinic during the Sars-CoV-2 global pandemic (August 2020 to May 2022) and were compared with a frequency-matched control group of youth with obesity studied before the Sars-CoV-2 global pandemic (January 2017 to November 2019). Glucose metabolism differences were assessed during an extended 180-minute oral glucose tolerance test. Magnetic resonance imaging-derived proton density fat fraction (PDFF) was used to determine intrahepatic fat content in those with NAFLD (PDFF ≥ 5.5). RESULTS NAFLD prevalence increased in participants prior to (36.2%) versus during the Sars-CoV-2 pandemic (60.9%), with higher PDFF values observed in participants with NAFLD (PDFF ≥ 5.5%) during versus before the pandemic. An increase in visceral adipose tissue and a hyperresponsiveness in insulin secretion during the oral glucose tolerance test were also observed. CONCLUSIONS Hepatic health differences were likely exacerbated by environmental and behavioral changes associated with the pandemic, which are critically important for clinicians to consider when engaging in patient care to help minimize the future risk for metabolic perturbations.
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Affiliation(s)
- Aaron L. Slusher
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
| | - Pamela Hu
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
| | - Stephanie Samuels
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
| | - Fuyuze Tokoglu
- Radiology and Biomedical Imaging, Yale University School of
Medicine, New Haven, CT
| | - Jessica Lat
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
| | - Zhongyao Li
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
| | - Michele Alguard
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
| | - Jordan Strober
- Department of Internal Medicine, Yale University School of
Medicine, New Haven, CT
| | - Daniel Vatner
- Department of Internal Medicine, Yale University School of
Medicine, New Haven, CT
| | - Veronika Shabanova
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
| | - Sonia Caprio
- Department of Pediatrics, Yale University School of
Medicine, New Haven, CT
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2
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Effect of Prior Exercise on Postprandial Lipemia: An Updated Meta-Analysis and Systematic Review. Int J Sport Nutr Exerc Metab 2022; 32:501-518. [PMID: 36028221 DOI: 10.1123/ijsnem.2022-0043] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 11/18/2022]
Abstract
The purpose of this systematic review was to synthesize the results from current literature examining the effects of prior exercise on the postprandial triglyceride (TG) response to evaluate current literature and provide future direction. A quantitative review was performed using meta-analytic methods to quantify individual effect sizes. A moderator analysis was performed to investigate potential variables that could influence the effect of prior exercise on postprandial TG response. Two hundred and seventy-nine effects were retrieved from 165 studies for the total TG response and 142 effects from 87 studies for the incremental area under the curve TG response. There was a moderate effect of exercise on the total TG response (Cohen's d = -0.47; p < .0001). Moderator analysis revealed exercise energy expenditure significantly moderated the effect of prior exercise on the total TG response (p < .0001). Exercise modality (e.g., cardiovascular, resistance, combination of both cardiovascular and resistance, or standing), cardiovascular exercise type (e.g., continuous, interval, concurrent, or combined), and timing of exercise prior to meal administration significantly affected the total TG response (p < .001). Additionally, exercise had a moderate effect on the incremental area under the curve TG response (Cohen's d = -0.40; p < .0001). The current analysis reveals a more homogeneous data set than previously reported. The attenuation of postprandial TG appears largely dependent on exercise energy expenditure (∼2 MJ) and the timing of exercise. The effect of prior exercise on the postprandial TG response appears to be transient; therefore, exercise should be frequent to elicit an adaptation.
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3
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Meddens SFW, de Vlaming R, Bowers P, Burik CAP, Linnér RK, Lee C, Okbay A, Turley P, Rietveld CA, Fontana MA, Ghanbari M, Imamura F, McMahon G, van der Most PJ, Voortman T, Wade KH, Anderson EL, Braun KVE, Emmett PM, Esko T, Gonzalez JR, Kiefte-de Jong JC, Langenberg C, Luan J, Muka T, Ring S, Rivadeneira F, Snieder H, van Rooij FJA, Wolffenbuttel BHR, Smith GD, Franco OH, Forouhi NG, Ikram MA, Uitterlinden AG, van Vliet-Ostaptchouk JV, Wareham NJ, Cesarini D, Harden KP, Lee JJ, Benjamin DJ, Chow CC, Koellinger PD. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle. Mol Psychiatry 2021; 26:2056-2069. [PMID: 32393786 PMCID: PMC7767645 DOI: 10.1038/s41380-020-0697-5] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 02/03/2020] [Accepted: 02/20/2020] [Indexed: 12/22/2022]
Abstract
We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 × 10-8), while five of the 21 lead SNPs reach suggestive significance (P < 1 × 10-5) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|rg| ≈ 0.1-0.3) and positive genetic correlations with physical activity (rg ≈ 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (rg ≈-0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction.
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Affiliation(s)
- S. Fleur W. Meddens
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands ,grid.6906.90000000092621349Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Burgemeester, Oudlaan 50, 3062 PA Rotterdam, The Netherlands
| | - Ronald de Vlaming
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Peter Bowers
- grid.38142.3c000000041936754XDepartment of Economics, Harvard University, 1805 Cambridge St, Cambridge, MA 02138 USA
| | - Casper A. P. Burik
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Richard Karlsson Linnér
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Chanwook Lee
- grid.38142.3c000000041936754XDepartment of Economics, Harvard University, 1805 Cambridge St, Cambridge, MA 02138 USA
| | - Aysu Okbay
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
| | - Patrick Turley
- grid.32224.350000 0004 0386 9924Analytical and Translational Genetics Unit, Massachusetts General Hospital, Richard B. Simches Research building, 185 Cambridge St, CPZN-6818, Boston, MA 02114 USA ,grid.66859.34Stanley Center for Psychiatric Genomics, The Broad Institute at Harvard and MIT, 75 Ames St, Cambridge, MA 02142 USA ,grid.42505.360000 0001 2156 6853Behavioral and Health Genomics Center, Center for Economic and Social Research, University of Southern, California, 635 Downey Way, Los Angeles, CA 90089 USA
| | - Cornelius A. Rietveld
- grid.6906.90000000092621349Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Burgemeester, Oudlaan 50, 3062 PA Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands ,grid.6906.90000000092621349Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus, University Rotterdam, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Netherlands
| | - Mark Alan Fontana
- grid.239915.50000 0001 2285 8823Center for the Advancement of Value in Musculoskeletal Care, Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021 USA ,grid.5386.8000000041936877XDepartment of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, 402 East 67th Street, New York, NY 10065 USA
| | - Mohsen Ghanbari
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands ,grid.411583.a0000 0001 2198 6209Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Azadi Square, University Campus, 9177948564 Mashhad, Iran
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - George McMahon
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Peter J. van der Most
- grid.4494.d0000 0000 9558 4598Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Trudy Voortman
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Kaitlin H. Wade
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Emma L. Anderson
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Kim V. E. Braun
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Pauline M. Emmett
- grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8, 2BN, Bristol, UK
| | - Tonũ Esko
- grid.10939.320000 0001 0943 7661Estonian Genome Center, University of Tartu, Riia 23b, Tartu, 51010 Estonia
| | - Juan R. Gonzalez
- grid.434607.20000 0004 1763 3517Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, Barcelona, 8003 Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra (UPF), Ramon Trias Fargas 25-27, Barcelona, 8005 Spain ,grid.413448.e0000 0000 9314 1427CIBER Epidemiología y Salud Pública (CIBERESP), Pabellón 11, Calle Monforte de Lemos, 3-5, Madrid, 280229 Spain
| | - Jessica C. Kiefte-de Jong
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands ,grid.5132.50000 0001 2312 1970Leiden University College, Anna van Buerenplein 301, 2595 DG Den Haag, The Netherlands
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - Taulant Muka
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Susan Ring
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Fernando Rivadeneira
- grid.5645.2000000040459992XDepartment of Internal Medicine, Erasmus MC University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Harold Snieder
- grid.4494.d0000 0000 9558 4598Department of Epidemiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Frank J. A. van Rooij
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Bruce H. R. Wolffenbuttel
- grid.4494.d0000 0000 9558 4598Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | | | | | | | - George Davey Smith
- grid.5337.20000 0004 1936 7603Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, BS8 2BN Bristol, UK
| | - Oscar H. Franco
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Nita G. Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - M. Arfan Ikram
- grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Andre G. Uitterlinden
- grid.5645.2000000040459992XDepartment of Internal Medicine, Erasmus MC University Medical Center, Wytemaweg 80, 3015 GE Rotterdam, The Netherlands
| | - Jana V. van Vliet-Ostaptchouk
- grid.4494.d0000 0000 9558 4598Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands ,grid.4494.d0000 0000 9558 4598Genomics Coordination Center, Department of Genetics, University of Groningen, University Medical Center, Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Nick J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus Cambridge, CB2 0QQ Cambridge, UK
| | - David Cesarini
- grid.137628.90000 0004 1936 8753Department of Economics, New York University, 19 W. 4th Street, New York, NY 10012 USA
| | - K. Paige Harden
- grid.89336.370000 0004 1936 9924Department of Psychology, University of Texas at Austin, 108 E. Dean Keeton Stop #A8000, Austin, TX 78704 USA
| | - James J. Lee
- grid.17635.360000000419368657Department of Psychology, University of Minnesota Twin Cities, 75 East River Parkway, Minneapolis, MN 55455 USA
| | - Daniel J. Benjamin
- grid.42505.360000 0001 2156 6853Behavioral and Health Genomics Center, Center for Economic and Social Research, University of Southern, California, 635 Downey Way, Los Angeles, CA 90089 USA ,grid.250279.b0000 0001 0940 3170National Bureau of Economic Research, 1050 Massachusetts Ave, Cambridge, MA 02138 USA ,grid.42505.360000 0001 2156 6853Department of Economics, University of Southern California, 635 Downey Way, Los Angeles, CA 90089 USA
| | - Carson C. Chow
- grid.94365.3d0000 0001 2297 5165Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National, Institutes of Health, Bethesda, MD 20892 USA
| | - Philipp D. Koellinger
- grid.12380.380000 0004 1754 9227Department of Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands
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4
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Doing nutrition research without knowing it: a Monsieur Jourdain's travel through sugar metabolism. Eur J Clin Nutr 2020; 75:575-581. [PMID: 32704099 DOI: 10.1038/s41430-020-0699-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/18/2020] [Accepted: 07/14/2020] [Indexed: 11/08/2022]
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Abstract
The present paper reviews the physiological responses of human liver carbohydrate metabolism to physical activity and ingestion of dietary sugars. The liver represents a central link in human carbohydrate metabolism and a mechanistic crux point for the effects of dietary sugars on athletic performance and metabolic health. As a corollary, knowledge regarding physiological responses to sugar ingestion has potential application to either improve endurance performance in athletes, or target metabolic diseases in people who are overweight, obese and/or sedentary. For example, exercise increases whole-body glycogen utilisation, and the breakdown of liver glycogen to maintain blood glucose concentrations becomes increasingly important as exercise intensity increases. Accordingly, prolonged exercise at moderate-to-high exercise intensity results in depletion of liver glycogen stores unless carbohydrate is ingested during exercise. The exercise-induced glycogen deficit can increase insulin sensitivity and blood glucose control, and may result in less hepatic lipid synthesis. Therefore, the induction and maintenance of a glycogen deficit with exercise could be a specific target to improve metabolic health and could be achieved by carbohydrate (sugar) restriction before, during and/or after exercise. Conversely, for athletes, maintaining and restoring these glycogen stores is a priority when competing in events requiring repeated exertion with limited recovery. With this in mind, evidence consistently demonstrates that fructose-containing sugars accelerate post-exercise liver glycogen repletion and could reduce recovery time by as much as half that seen with ingestion of glucose (polymers)-only. Therefore, athletes aiming for rapid recovery in multi-stage events should consider ingesting fructose-containing sugars to accelerate recovery.
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6
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Dupas J, Feray A, Guernec A, Pengam M, Inizan M, Guerrero F, Mansourati J, Goanvec C. Effect of personalized moderate exercise training on Wistar rats fed with a fructose enriched water. Nutr Metab (Lond) 2018; 15:69. [PMID: 30305835 PMCID: PMC6171221 DOI: 10.1186/s12986-018-0307-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 09/24/2018] [Indexed: 12/15/2022] Open
Abstract
Background Metabolic Syndrom has become a public health problem. It mainly results from the increased consumption of fat and sugar. In this context, the benefits of personalized moderate exercise training were investigated on a metabolic syndrome male wistar rat model food with fructose drinking water (20–25% w/v). Different markers including body weight, metabolic measurements, blood biochemistry related to metabolic syndrome complications have been evaluated. Methods Male Wistar rats were randomly allocated to 4 groups: control (sedentary (C, n = 8) and exercise trained (Ex, n = 8)), fructose fed (sedentary (FF, n = 8) and exercise trained fructose fed rats (ExFF, n = 10)). ExFF and Ex rats were trained at moderate intensity during the last 6 weeks of the 12 weeks-long protocol of fructose enriched water. Metabolic control was determined by measuring body weight, fasting blood glucose, HOMA 2-IR, HIRI, MISI, leptin, adiponectin, triglyceridemia and hepatic dysfunction. Results After 12 weeks of fructose enriched diet, rats displayed on elevated fasting glycaemia and insulin resistance. A reduced food intake, as well as increased body weight, total calorie intake and heart weight were also observed in FF group. Concerning biochemical markers, theoretical creatinine clearance, TG levels and ASAT/ALAT ratio were also affected, without hepatic steatosis. Six weeks of 300 min/week of moderate exercise training have significantly improved overweight, fasting glycaemia, HOMA 2-IR, MISI without modify HIRI. Exercise also decreased the plasma levels of leptin, adiponectin and the ratio leptin/adiponectin. Regarding liver function and dyslipidemia, the results were less clear as the effects of exercise and fructose-enriched water interact together, and, sometimes counteract each other. Conclusion Our results indicated that positive health effects were achieved through a personalized moderate training of 300 min per week (1 h/day and 5 days/week) for 6 weeks. Therefore, regular practice of aerobic physical exercise is an essential triggering factor to attenuate MetS disorders induced by excessive fructose consumption.
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Affiliation(s)
- Julie Dupas
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
| | - Annie Feray
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,UFR Sciences du Sport et de l'Education, 20 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
| | - Anthony Guernec
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,UFR Sciences du Sport et de l'Education, 20 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
| | - Morgane Pengam
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
| | - Manon Inizan
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,2UFR Sciences et Techniques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29237 Brest Cedex 3, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
| | - François Guerrero
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,UFR Sciences du Sport et de l'Education, 20 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
| | - Jacques Mansourati
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,4Département de Cardiologie, Centre Hospitalo-Universitaire de Brest, Boulevard Tanguy Prigent, 29200 Brest, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
| | - Christelle Goanvec
- 1EA 4324: Optimisation des Régulations Physiologiques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29238 Brest Cedex 3, France.,2UFR Sciences et Techniques, Université de Bretagne Occidentale, 6 avenue Le Gorgeu, 29237 Brest Cedex 3, France.,IBSAM: Institut Brestois Santé Agro Matière, UFR Médecine, avenue Camille Desmoulin, 29200 Brest, France
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Macedo RCO, Boeno FP, Farinha JB, Ramis TR, Rodrigues-Krause J, Vieira AF, Queiroz J, Moritz CEJ, Reischak-Oliveira A. Acute and residual effects of aerobic exercise on fructose-induced postprandial lipemia on lean male subjects. Eur J Nutr 2018; 58:2293-2303. [DOI: 10.1007/s00394-018-1780-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 07/15/2018] [Indexed: 12/19/2022]
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8
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Tea I, Tcherkez G. Natural Isotope Abundance in Metabolites: Techniques and Kinetic Isotope Effect Measurement in Plant, Animal, and Human Tissues. Methods Enzymol 2017; 596:113-147. [PMID: 28911768 DOI: 10.1016/bs.mie.2017.07.020] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The natural isotope abundance in bulk organic matter or tissues is not a sufficient base to investigate physiological properties, biosynthetic mechanisms, and nutrition sources of biological systems. In fact, isotope effects in metabolism lead to a heterogeneous distribution of 2H, 18O, 13C, and 15N isotopes in metabolites. Therefore, compound-specific isotopic analysis (CSIA) is crucial to biological and medical applications of stable isotopes. Here, we review methods to implement CSIA for 15N and 13C from plant, animal, and human samples and discuss technical solutions that have been used for the conversion to CO2 and N2 for IRMS analysis, derivatization and isotope effect measurements. It appears that despite the flexibility of instruments used for CSIA, there is no universal method simply because the chemical nature of metabolites of interest varies considerably. Also, CSIA methods are often limited by isotope effects in sample preparation or the addition of atoms from the derivatizing reagents, and this implies that corrections must be made to calculate a proper δ-value. Therefore, CSIA has an enormous potential for biomedical applications, but its utilization requires precautions for its successful application.
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Affiliation(s)
- Illa Tea
- Research School of Biology, Australian National University, Canberra, ACT, Australia; Cancer Metabolism and Genetics Group, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia; EBSI Team, CEISAM, University of Nantes-CNRS UMR 6230, Nantes, France
| | - Guillaume Tcherkez
- Research School of Biology, Australian National University, Canberra, ACT, Australia.
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9
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Sugar Metabolism in Hummingbirds and Nectar Bats. Nutrients 2017; 9:nu9070743. [PMID: 28704953 PMCID: PMC5537857 DOI: 10.3390/nu9070743] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Revised: 07/03/2017] [Accepted: 07/04/2017] [Indexed: 12/15/2022] Open
Abstract
Hummingbirds and nectar bats coevolved with the plants they visit to feed on floral nectars rich in sugars. The extremely high metabolic costs imposed by small size and hovering flight in combination with reliance upon sugars as their main source of dietary calories resulted in convergent evolution of a suite of structural and functional traits. These allow high rates of aerobic energy metabolism in the flight muscles, fueled almost entirely by the oxidation of dietary sugars, during flight. High intestinal sucrase activities enable high rates of sucrose hydrolysis. Intestinal absorption of glucose and fructose occurs mainly through a paracellular pathway. In the fasted state, energy metabolism during flight relies on the oxidation of fat synthesized from previously-ingested sugar. During repeated bouts of hover-feeding, the enhanced digestive capacities, in combination with high capacities for sugar transport and oxidation in the flight muscles, allow the operation of the “sugar oxidation cascade”, the pathway by which dietary sugars are directly oxidized by flight muscles during exercise. It is suggested that the potentially harmful effects of nectar diets are prevented by locomotory exercise, just as in human hunter-gatherers who consume large quantities of honey.
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Moulin S, Seematter G, Seyssel K. Fructose use in clinical nutrition: metabolic effects and potential consequences. Curr Opin Clin Nutr Metab Care 2017; 20:272-278. [PMID: 28383298 DOI: 10.1097/mco.0000000000000376] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
PURPOSE OF REVIEW The current article presents recent findings on the metabolic effects of fructose. RECENT FINDINGS Fructose has always been considered as a simple 'caloric' hexose only metabolized by splanchnic tissues. Nevertheless, there is growing evidence that fructose acts as a second messenger and induces effects throughout the human body. SUMMARY Recent discoveries made possible with the evolution of technology have highlighted that fructose induces pleiotropic effects on different tissues. The fact that all these tissues express the specific fructose carrier GLUT5 let us reconsider that fructose is not only a caloric hexose, but could also be a potential actor of some behaviors and metabolic pathways. The physiological relevance of fructose as a metabolic driver is pertinent regarding recent scientific literature.
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Affiliation(s)
- Sandra Moulin
- aDepartment of Critical Care Medicine, Hôpital cantonal de Fribourg, Fribourg bDepartment of Anaesthesia, Hôpital Riviera-Chablais, Montreux cDepartment of Physiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
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Rosset R, Egli L, Lecoultre V. Glucose-fructose ingestion and exercise performance: The gastrointestinal tract and beyond. Eur J Sport Sci 2017; 17:874-884. [PMID: 28441908 DOI: 10.1080/17461391.2017.1317035] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Carbohydrate ingestion can improve endurance exercise performance. In the past two decades, research has repeatedly reported the performance benefits of formulations comprising both glucose and fructose (GLUFRU) over those based on glucose (GLU). This has been usually related to additive effects of these two monosaccharides on the gastrointestinal tract whereby intestinal carbohydrate absorption is enhanced and discomfort limited. This is only a partial explanation, since glucose and fructose are also metabolized through different pathways after being absorbed from the gut. In contrast to glucose that is readily used by every body cell type, fructose is specifically targeted to the liver where it is mainly converted into glucose and lactate. The ingestion of GLUFRU may thereby profoundly alter hepatic function ultimately raising both glucose and lactate fluxes. During exercise, this particular profile of circulating carbohydrate may induce a spectrum of effects on muscle metabolism possibly resulting in an improved performance. Compared to GLU alone, GLUFRU ingestion could also induce several non-metabolic effects which are so far largely unexplored. Through its metabolite lactate, fructose may act on central fatigue and/or alter metabolic regulation. Future research could further define the effects of GLUFRU over other exercise modalities and different athletic populations, using several of the hypotheses discussed in this review.
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Affiliation(s)
- Robin Rosset
- a Department of Physiology , University of Lausanne , Lausanne , Switzerland
| | - Léonie Egli
- b Nestle Research Center Singapore , Singapore , Singapore
| | - Virgile Lecoultre
- c Centre for Metabolic Disease , Broye Intercantonal Hospital , Estavayer-le-Lac , Switzerland
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Bernardes N, Ayyappan P, De Angelis K, Bagchi A, Akolkar G, da Silva Dias D, Belló-Klein A, Singal PK. Excessive consumption of fructose causes cardiometabolic dysfunctions through oxidative stress and inflammation. Can J Physiol Pharmacol 2017; 95:1078-1090. [PMID: 28187269 DOI: 10.1139/cjpp-2016-0663] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
A rapid rise in obesity, as well as physical inactivity, in industrialized countries is associated with fructose-consumption-mediated metabolic syndrome having a strong association with cardiovascular disease. Although insulin resistance is thought to be at the core, visceral obesity, hypertension, and hypertriglyceridemia are also considered important components of this metabolic disorder. In addition, various other abnormalities such as inflammation, oxidative stress, and elevated levels of uric acid are also part of this syndrome. Lifestyle changes through improved physical activity, as well as nutrition, are important approaches to minimize metabolic syndrome and its deleterious effects.
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Affiliation(s)
- Nathalia Bernardes
- a Universidade Nove de Julho, Diretoria de Mestrado, Av. Francisco Matatazzo, 612, 10 andar, Centro de Pos Graduacao Stricto Sensu, Barra Funda, Sao Paulo, Brazil
| | - Prathapan Ayyappan
- b Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Katia De Angelis
- a Universidade Nove de Julho, Diretoria de Mestrado, Av. Francisco Matatazzo, 612, 10 andar, Centro de Pos Graduacao Stricto Sensu, Barra Funda, Sao Paulo, Brazil
| | - Ashim Bagchi
- b Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Gauri Akolkar
- b Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Danielle da Silva Dias
- a Universidade Nove de Julho, Diretoria de Mestrado, Av. Francisco Matatazzo, 612, 10 andar, Centro de Pos Graduacao Stricto Sensu, Barra Funda, Sao Paulo, Brazil
| | - Adriane Belló-Klein
- c Laboratory of Cardiovascular Physiology, Institute of Basic Health Science (ICBS), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Pawan K Singal
- b Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
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Khan TA, Sievenpiper JL. Controversies about sugars: results from systematic reviews and meta-analyses on obesity, cardiometabolic disease and diabetes. Eur J Nutr 2016; 55:25-43. [PMID: 27900447 PMCID: PMC5174149 DOI: 10.1007/s00394-016-1345-3] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 11/07/2016] [Indexed: 02/06/2023]
Abstract
Fructose-containing sugars are a focus of attention as a public health target for their putative role in obesity and cardiometabolic disease including diabetes. The fructose moiety is singled out to be the primary driver for the harms of sugars due to its unique endocrine signal and pathophysiological role. However, this is only supported by ecological studies, animal models of overfeeding and select human intervention studies with supraphysiological doses or lack of control for energy. The highest level of evidence from systematic reviews and meta-analyses of controlled trials has not shown that fructose-containing sugars behave any differently from other forms of digestible carbohydrates. Fructose-containing sugars can only lead to weight gain and other unintended harms on cardiometabolic risk factors insofar as the excess calories they provide. Prospective cohort studies, which provide the strongest observational evidence, have shown an association between fructose-containing sugars and cardiometabolic risk including weight gain, cardiovascular disease outcomes and diabetes only when restricted to sugar-sweetened beverages and not for sugars from other sources. In fact, sugar-sweetened beverages are a marker of an unhealthy lifestyle and their drinkers consume more calories, exercise less, smoke more and have a poor dietary pattern. The potential for overconsumption of sugars in the form of sugary foods and drinks makes targeting sugars, as a source of excess calories, a prudent strategy. However, sugar content should not be the sole determinant of a healthy diet. There are many other factors in the diet-some providing excess calories while others provide beneficial nutrients. Rather than just focusing on one energy source, we should consider the whole diet for health benefits.
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Affiliation(s)
- Tauseef A Khan
- Department of Nutritional Sciences, 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
| | - John L Sievenpiper
- Department of Nutritional Sciences, 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.
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON, Canada.
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
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Abstract
PURPOSE OF REVIEW There is considerable political and public awareness of new recommendations to reduce sugars and sugar-sweetened beverages in our diets. It is therefore timely to review the most recent changes in guidelines, with a focus on evidence for metabolic health, recent research in the area and gaps in our knowledge. RECENT FINDINGS Sufficient evidence links a high intake of sugar to dental caries and obesity, and high intakes of sugar-sweetened beverages in particular to increased risk of type 2 diabetes. This has led to the updating of dietary recommendations related to added sugars in the diet. The effects of specific sugars at usual intakes as part of an isoenergetic diet are less clear. The glycaemic response to food is complex and mediated by many factors, but sugar intake is not necessarily the major component. SUMMARY There are many challenges faced by healthcare professionals and government bodies in order to improve the health of individuals and nations through evidence-based diets. Sufficiently powered long-term mechanistic studies are still required to provide evidence for the effects of reducing dietary sugars on metabolic health. However, there are many challenges for research scientists in the implementation of these studies.
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Affiliation(s)
- J Bernadette Moore
- aDepartment of Nutritional Sciences, University of Surrey, Guildford, Surrey bSchool of Food Science and Nutrition, University of Leeds, Leeds, UK
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Yarasheski KE, Parks EJ. How sweet is acute exercise after pure fructose ingestion? Am J Clin Nutr 2016; 103:301-2. [PMID: 26762370 DOI: 10.3945/ajcn.115.126516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Kevin E Yarasheski
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO, and
| | - Elizabeth J Parks
- Divisions of Gastroenterology and Hepatology, and Nutrition and Exercise Physiology, University of Missouri School of Medicine, Columbia, MO
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