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Petrovic A, Jovicic S, Dodevska M, Djordjevic B, Milinkovic N, Ivanovic ND. Effects of Specially Designed Energy-Restricted Diet on Anthropometric Parameters and Cardiometabolic Risk in Overweight and Obese Adults: Pilot Study. Nutrients 2024; 16:3453. [PMID: 39458449 PMCID: PMC11510625 DOI: 10.3390/nu16203453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Revised: 10/06/2024] [Accepted: 10/08/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND/AIMS This study examined the effects of a specially designed energy-restricted diet with alternate carbohydrate intake on body composition and cardiometabolic risk factors in overweight and obese adults. The aim was to assess whether the intervention could lead to significant weight loss, improve body composition, and reduce cardiometabolic risks. METHODS Sixty-five participants (34 women, 31 men) with an average BMI of 31.8 ± 9.1 kg/m2 (women) and 34.1 ± 6.4 kg/m2 (men) participated in a 14-week intervention. The diet included different days of carbohydrate intake and a 20% reduction in total daily energy consumption. Anthropometric measurements and biochemical parameters, including predictive indices of cardiometabolic risk, were determined at baseline and after the intervention. RESULTS The intervention resulted in a significant reduction in body weight (mean weight loss of 17%, p < 0.001), with 64.6% of participants achieving a weight loss of at least 10%. Muscle mass as a percentage of total body weight increased. Cardiometabolic improvements were observed in fasting blood glucose (from 5.4 to 4.9 mmol/L, p < 0.001) and LDL cholesterol (from 3.38 to 2.81 mmol/L, p < 0.001). Gender-specific differences were found, particularly in HDL-C, which decreased significantly in women (p = 0.013), while there was a non-significant increase in men. Cardiometabolic indices, including the Visceral Adiposity Index (VAI) and the Cardiometabolic Index (CMI), also improved significantly. CONCLUSIONS The alternate carbohydrate diet improved body composition, cardiometabolic health, and treatment adherence through metabolic flexibility. However, the short duration of this study and the lack of a control group suggest that further research is needed to assess long-term sustainability.
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Affiliation(s)
- Ana Petrovic
- Nutritional Studio Ana Petrovic, Bulevar Oslobođenja 79, 11000 Belgrade, Serbia;
| | - Snezana Jovicic
- Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia; (S.J.); (N.M.)
| | - Margarita Dodevska
- Institute of Public Health of Serbia, Dr. Milan Jovanovic Batut, Dr. Subotica 5, 11000 Belgrade, Serbia;
| | - Brizita Djordjevic
- Department of Bromatology, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia
| | - Neda Milinkovic
- Department of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia; (S.J.); (N.M.)
| | - Nevena D. Ivanovic
- Department of Bromatology, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia
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Lambert DC, Kane J, Newberry C. Lifestyle Therapy for Obesity. Gastrointest Endosc Clin N Am 2024; 34:577-589. [PMID: 39277292 DOI: 10.1016/j.giec.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2024]
Abstract
Lifestyle management of obesity includes nutritional therapy, physical activity, and several intermittent fasting therapies. Effective nutrition therapies include optimized low-fat diets, high-quality ketogenic diets, and energy-restricted diets. Adherence to dietary change remains the most substantial barrier to success; therefore, patients engaging in lifestyle changes require intensive support and resources. Physical activity is shown to have benefits to body composition and disease risk beyond the effects on weight loss. Patients should be guided toward a regimen that is appropriate for their capacity for movement. Multiple intermittent fasting strategies have now been shown to cause substantial weight loss and metabolic health improvement.
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Affiliation(s)
- Douglas C Lambert
- Department of General Internal Medicine, Section of Obesity Medicine, Northwell Health, Northwell Center for Weight Management, 865 Northern Boulevard, Suite 102, Great Neck, NY 11021, USA.
| | - Jamie Kane
- Department of General Internal Medicine, Section of Obesity Medicine, Northwell Health, Northwell Center for Weight Management, 865 Northern Boulevard, Suite 102, Great Neck, NY 11021, USA
| | - Carolyn Newberry
- Division of Gastroenterology and Hepatology, Innovative Center for Health and Nutrition in Gastroenterology (ICHANGE), Weill Cornell Medicine, 420 East 70th Street, #442, New York, NY 10021, USA
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3
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Gijbels A, Jardon KM, Trouwborst I, Manusama KC, Goossens GH, Blaak EE, Feskens EJ, Afman LA. Fasting and postprandial plasma metabolite responses to a 12-wk dietary intervention in tissue-specific insulin resistance: a secondary analysis of the PERSonalized glucose Optimization through Nutritional intervention (PERSON) randomized trial. Am J Clin Nutr 2024; 120:347-359. [PMID: 38851634 DOI: 10.1016/j.ajcnut.2024.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/06/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND We previously showed that dietary intervention effects on cardiometabolic health were driven by tissue-specific insulin resistance (IR) phenotype: individuals with predominant muscle IR (MIR) benefited more from a low-fat, high-protein, and high-fiber (LFHP) diet, whereas individuals with predominant liver insulin resistance (LIR) benefited more from a high-monounsaturated fatty acid (HMUFA) diet. OBJECTIVES To further characterize the effects of LFHP and HMUFA diets and their interaction with tissue-specific IR, we investigated dietary intervention effects on fasting and postprandial plasma metabolite profile. METHODS Adults with MIR or LIR (40-75 y, BMI 25-40 kg/m2) were randomly assigned to a 12-wk HMUFA or LFHP diet (n = 242). After the exclusion of statin use, 214 participants were included in this prespecified secondary analysis. Plasma samples were collected before (T = 0) and after (T = 30, 60, 120, and 240 min) a high-fat mixed meal for quantification of 247 metabolite measures using nuclear magnetic resonance spectroscopy. RESULTS A larger reduction in fasting VLDL-triacylglycerol (TAG) and VLDL particle size was observed in individuals with MIR following the LFHP diet and those with LIR following the HMUFA diet, although no longer statistically significant after false discovery rate (FDR) adjustment. No IR phenotype-by-diet interactions were found for postprandial plasma metabolites assessed as total area under the curve (tAUC). Irrespective of IR phenotype, the LFHP diet induced greater reductions in postprandial plasma tAUC of the larger VLDL particles and small HDL particles, and TAG content in most VLDL subclasses and the smaller LDL and HDL subclasses (for example, VLDL-TAG tAUC standardized mean change [95% CI] LFHP = -0.29 [-0.43, -0.16] compared with HMUFA = -0.04 [-0.16, 0.09]; FDR-adjusted P for diet × time = 0.041). CONCLUSIONS Diet effects on plasma metabolite profiles were more pronounced than phenotype-by-diet interactions. An LFHP diet may be more effective than an HMUFA diet for reducing cardiometabolic risk in individuals with tissue-specific IR, irrespective of IR phenotype. Am J Clin Nutr 20xx;x:xx. This trial was registered at the clinicaltrials.gov registration (https://clinicaltrials.gov/study/NCT03708419?term=NCT03708419&rank=1) as NCT03708419 and CCMO registration (https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&unids=3969AABCD9BA27FEC12587F1001BCC65) as NL63768.068.17.
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Affiliation(s)
- Anouk Gijbels
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands; Top Institute Food and Nutrition (TiFN), Wageningen, The Netherlands.
| | - Kelly M Jardon
- Top Institute Food and Nutrition (TiFN), Wageningen, The Netherlands; Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Inez Trouwborst
- Top Institute Food and Nutrition (TiFN), Wageningen, The Netherlands; Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Koen Cm Manusama
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Gijs H Goossens
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Ellen E Blaak
- Top Institute Food and Nutrition (TiFN), Wageningen, The Netherlands; Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Edith Jm Feskens
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
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4
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Mogna-Peláez P, Romo-Hualde A, Riezu-Boj JI, Milagro FI, Muñoz-Prieto D, Herrero JI, Elorz M, Benito-Boillos A, Monreal JI, Tur JA, Martínez A, Abete I, Zulet MA. Isoliquiritigenin in combination with visceral adipose tissue and related markers as a predictive tool for nonalcoholic fatty liver disease. J Physiol Biochem 2024; 80:639-653. [PMID: 37996653 PMCID: PMC11502611 DOI: 10.1007/s13105-023-00998-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most prevalent form of chronic liver disease in the world. New non-invasive diagnostic tools are needed to promptly treat this disease and avoid its complications. This study aimed to find key metabolites and related variables that could be used to predict and diagnose NAFLD. Ninety-eight subjects with NAFLD and 45 controls from the Fatty Liver in Obesity (FLiO) Study (NCT03183193) were analyzed. NAFLD was diagnosed and graded by ultrasound and classified into two groups: 0 (controls) and ≥ 1 (NAFLD). Hepatic status was additionally assessed through magnetic resonance imaging (MRI), elastography, and determination of transaminases. Anthropometry, body composition (DXA), biochemical parameters, and lifestyle factors were evaluated as well. Non-targeted metabolomics of serum was performed with high-performance liquid chromatography coupled to time-of-flight mass spectrometry (HPLC-TOF-MS). Isoliquiritigenin (ISO) had the strongest association with NAFLD out of the determinant metabolites. Individuals with higher concentrations of ISO had healthier metabolic and hepatic status and were less likely to have NAFLD (OR 0.13). Receiver operating characteristic (ROC) curves demonstrated the predictive power of ISO in panel combination with other NAFLD and IR-related variables, such as visceral adipose tissue (VAT) (AUROC 0.972), adiponectin (AUROC 0.917), plasmatic glucose (AUROC 0.817), and CK18-M30 (AUROC 0.810). Individuals with lower levels of ISO have from 71 to 82% more risk of presenting NAFLD compared to individuals with higher levels. Metabolites such as ISO, in combination with visceral adipose tissue, IR, and related markers, constitute a potential non-invasive tool to predict and diagnose NAFLD.
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Affiliation(s)
- Paola Mogna-Peláez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Ana Romo-Hualde
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - José I Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
| | - Fermin I Milagro
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - David Muñoz-Prieto
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - José I Herrero
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Liver Unit, Clínica Universidad de Navarra, 31008, Pamplona, Spain
- Biomedical Research Centre Network in Hepatic and Digestive Diseases (CIBERehd), 28029, Madrid, Spain
| | - Mariana Elorz
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - Alberto Benito-Boillos
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - J Ignacio Monreal
- Clinical Chemistry Department, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - Josep A Tur
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma, Spain
| | - Alfredo Martínez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Itziar Abete
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - M Angeles Zulet
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
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5
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Liu Y, Liu Z, Wu N. Association between intake of flavanones and the overweight/obesity and central obesity in children and adolescents: a cross-sectional study from the NHANES database. Front Nutr 2024; 11:1430140. [PMID: 39086546 PMCID: PMC11288817 DOI: 10.3389/fnut.2024.1430140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
Aim The prevalence of obesity (Ob), overweight (Ow) and central obesity (CO) in children and adolescents has increased dramatically over the past decades globally. Flavanones have been recently studied as adjuvants for the treatment of obesity. This study was aimed at evaluating the association between intake of flavanones and its subclasses and the Ow/Ob and CO in children and adolescents. Methods This cross-sectional study extracted the data of children and adolescents with Ow/Ob and CO from the National Health and Nutrition Examination Survey (NHANES) database for 2007-2010 and 2017-2018. Ow and Ob were defined as a body mass index (BMI) ≥ 85th percentile. CO was defined as a waist circumference (WC) ≥ 90th percentile. The association between intake of flavanones and its subclasses and the Ow/Ob and CO in children and adolescents was determined by weighted univariate and multivariate Logistic regression models adjusted for potential covariates, and odds ratios (ORs) with 95% confidence intervals (CIs) was calculated. To further explore association between intake of flavanones and its subclasses and the Ow/Ob and CO in children and adolescents, subgroup analyses stratified by age, and gender. Results Of the total 5,970 children and adolescents, 2,463 (41.2%) developed Ow/Ob and 1,294 (21.7%) patients developed CO. High intake of flavanones, eriodictyol, hesperetin, and naringenin were associated with lower odds of Ow/Ob in children and adolescents. (OR: 0.75, 95%CI: 0.62-0.92, OR: 0.69, 95%CI: 0.55-0.87, OR: 0.69, 95%CI: 0.55-0.87, and OR: 0.76, 95%CI: 0.63-0.92, respectively). In addition, high intake of flavanones, eriodictyol, and naringenin were associated with lower odds of CO in children and adolescents (OR: 0.71, 95%CI: 0.57-0.88, OR: 0.67, 95%CI: 0.51-0.86, and OR: 0.69, 95%CI: 0.55-0.86, respectively). Subgroup analyses showed that among all the different subgroups, high intake of flavanones was associated with lower odds of Ow/Ob and CO in children and adolescents. Conclusion A diet loaded with high flavanones were associated with lower odds of Ow/Ob and CO in children and adolescents, and children and adolescents should be encouraged to increase their intake of flavanones.
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Affiliation(s)
- Yangyang Liu
- Developmental Behavior Pediatrics, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhuoqiong Liu
- Developmental Behavior Pediatrics, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Nan Wu
- Child Health Section, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, China
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Elliott MJ, Shen S, Lam DL, Brown T, Lawson MB, Iyengar NM, Cescon DW. Enhancing Early-Stage Breast Cancer Survivorship: Evidence-Based Strategies, Surveillance Testing, and Imaging Guidelines. Am Soc Clin Oncol Educ Book 2024; 44:e432564. [PMID: 38815189 DOI: 10.1200/edbk_432564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Addressing the challenges of survivorship necessitates a comprehensive, patient-centered approach, focusing on mitigating risk through lifestyle modification, identifying distant recurrence, and optimization of breast imaging. This article will discuss the current and emerging clinical strategies for the survivorship period, advocating a multidisciplinary and comprehensive approach. In this manner, early-stage breast cancer survivors are empowered to navigate their journey with enhanced knowledge, facilitating a transition to life beyond cancer.
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Affiliation(s)
- Mitchell J Elliott
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Sherry Shen
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Diana L Lam
- Fred Hutchinson Cancer Center, University of Washington, Seattle, WA
| | - Thelma Brown
- University of Alabama at Birmingham, Birmingham, AL
| | - Marissa B Lawson
- Fred Hutchinson Cancer Center, University of Washington, Seattle, WA
| | | | - David W Cescon
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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7
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Wang Y, Balvers MGJ, Esser D, Schutte S, Vincken JP, Afman LA, Witkamp RF, Meijerink J. Nutrient composition of different energy-restricted diets determines plasma endocannabinoid profiles and adipose tissue DAGL-α expression; a 12-week randomized controlled trial in subjects with abdominal obesity. J Nutr Biochem 2024; 128:109605. [PMID: 38401691 DOI: 10.1016/j.jnutbio.2024.109605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 02/14/2024] [Accepted: 02/19/2024] [Indexed: 02/26/2024]
Abstract
The endocannabinoid system (ECS) is dysregulated during obesity and metabolic disorders. Weight loss favours the re-establishment of ECS homeostatic conditions, but also the fatty acid composition of the diet can modulate endocannabinoid profiles. However, the combined impact of nutrient quality and energy restriction on the ECS remains unclear. In this 12 weeks randomized controlled trial, men and women (40-70 years) with obesity (BMI: 31.3 ± 3.5 kg/ m2) followed either a low nutrient quality 25% energy-restricted (ER) diet (n=39) high in saturated fats and fructose, or a high nutrient quality ER diet (n=34) amongst others enriched in n-3 polyunsaturated fatty acids (PUFAs) or kept their habitual diet (controls). Profiles of plasma- and adipose N-acylethanolamines and mono-acyl glycerol esters were quantified using LC-MS/MS. Gene expression of ECS-related enzymes and receptors was determined in adipose tissue. Measurements were performed under fasting conditions before and after 12 weeks. Our results showed that plasma level of the DHA-derived compound docosahexaenoylethanolamide (DHEA) was decreased in the low nutrient quality ER diet (P<0.001) compared with the high nutrient quality ER diet, whereas anandamide (AEA) and arachidonoylglycerol (2-AG) levels were unaltered. However, adipose tissue gene expression of the 2-AG synthesizing enzyme diacylglycerol lipase alpha (DAGL-α) was increased following the low nutrient quality ER diet (P<.009) and differed upon intervention with both other diets. Concluding, nutrient quality of the diet affects N-acylethanolamine profiles and gene expression of ECS-related enzymes and receptors even under conditions of high energy restriction in abdominally obese humans. ClinicalTrials.gov NCT02194504.
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Affiliation(s)
- Ya Wang
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands; The Laboratory of Food Chemistry, Wageningen University, Wageningen, The Netherlands
| | - Michiel G J Balvers
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Diederik Esser
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Sophie Schutte
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Jean-Paul Vincken
- The Laboratory of Food Chemistry, Wageningen University, Wageningen, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Renger F Witkamp
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Jocelijn Meijerink
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands.
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O’Donovan SD, Rundle M, Thomas EL, Bell JD, Frost G, Jacobs DM, Wanders A, de Vries R, Mariman EC, van Baak MA, Sterkman L, Nieuwdorp M, Groen AK, Arts IC, van Riel NA, Afman LA. Quantifying the effect of nutritional interventions on metabolic resilience using personalized computational models. iScience 2024; 27:109362. [PMID: 38500825 PMCID: PMC10946327 DOI: 10.1016/j.isci.2024.109362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/27/2023] [Accepted: 02/26/2024] [Indexed: 03/20/2024] Open
Abstract
The manifestation of metabolic deteriorations that accompany overweight and obesity can differ greatly between individuals, giving rise to a highly heterogeneous population. This inter-individual variation can impede both the provision and assessment of nutritional interventions as multiple aspects of metabolic health should be considered at once. Here, we apply the Mixed Meal Model, a physiology-based computational model, to characterize an individual's metabolic health in silico. A population of 342 personalized models were generated using data for individuals with overweight and obesity from three independent intervention studies, demonstrating a strong relationship between the model-derived metric of insulin resistance (ρ = 0.67, p < 0.05) and the gold-standard hyperinsulinemic-euglycemic clamp. The model is also shown to quantify liver fat accumulation and β-cell functionality. Moreover, we show that personalized Mixed Meal Models can be used to evaluate the impact of a dietary intervention on multiple aspects of metabolic health at the individual level.
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Affiliation(s)
- Shauna D. O’Donovan
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Eindhoven Artificial Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Milena Rundle
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - E. Louise Thomas
- Research Center for Optimal Health, School of Life Sciences, University of Westminster, London, the United Kingdom
| | - Jimmy D. Bell
- Research Center for Optimal Health, School of Life Sciences, University of Westminster, London, the United Kingdom
| | - Gary Frost
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Doris M. Jacobs
- Science & Technology, Unilever Foods Innovation Center, Wageningen, the Netherlands
| | - Anne Wanders
- Science & Technology, Unilever Foods Innovation Center, Wageningen, the Netherlands
| | - Ryan de Vries
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Edwin C.M. Mariman
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Marleen A. van Baak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Luc Sterkman
- Caelus Pharmaceuticals, Zegveld, the Netherlands
| | - Max Nieuwdorp
- Vascular Medicine, Amsterdam UMC Locatie, AMC, Amsterdam, the Netherlands
| | - Albert K. Groen
- Vascular Medicine, Amsterdam UMC Locatie, AMC, Amsterdam, the Netherlands
| | - Ilja C.W. Arts
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Natal A.W. van Riel
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Eindhoven Artificial Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Lydia A. Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
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9
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Deng M, Kersten S. Characterization of sexual dimorphism in ANGPTL4 levels and function. J Lipid Res 2024; 65:100526. [PMID: 38431115 PMCID: PMC10973588 DOI: 10.1016/j.jlr.2024.100526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/05/2024] Open
Abstract
ANGPTL4 is an attractive pharmacological target for lowering plasma triglycerides and cardiovascular risk. Since most preclinical studies on ANGPTL4 were performed in male mice, little is known about sexual dimorphism in ANGPTL4 regulation and function. Here, we aimed to study potential sexual dimorphism in ANGPTL4 mRNA and protein levels and ANGPTL4 function. Additionally, we performed exploratory studies on the function of ANGPTL4 in the liver during fasting using Angptl4-transgenic and Angptl4-/- mice. Compared to female mice, male mice showed higher hepatic and adipose ANGPTL4 mRNA and protein levels, as well as a more pronounced effect of genetic ANGPTL4 modulation on plasma lipids. By contrast, very limited sexual dimorphism in ANGPTL4 levels was observed in human liver and adipose tissue. In human and mouse adipose tissue, ANGPTL8 mRNA and/or protein levels were significantly higher in females than males. Adipose LPL protein levels were higher in female than male Angptl4-/- mice, which was abolished by ANGPTL4 (over) expression. At the human genetic level, the ANGPTL4 E40K loss-of-function variant was associated with similar plasma triglyceride reductions in women and men. Finally, ANGPTL4 ablation in fasted mice was associated with changes in hepatic gene expression consistent with PPARα activation. In conclusion, the levels of ANGPTL4 and the magnitude of the effect of ANGPTL4 on plasma lipids exhibit sexual dimorphism. Nonetheless, inactivation of ANGPTL4 should confer a similar metabolic benefit in women and men. Expression levels of ANGPTL8 in human and mouse adipose tissue are highly sexually dimorphic, showing higher levels in females than males.
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Affiliation(s)
- Mingjuan Deng
- Nutrition, Metabolism, and Genomics group, Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Sander Kersten
- Nutrition, Metabolism, and Genomics group, Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands; Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
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10
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Park S. Association of a High Healthy Eating Index Diet with Long-Term Visceral Fat Loss in a Large Longitudinal Study. Nutrients 2024; 16:534. [PMID: 38398858 PMCID: PMC10892686 DOI: 10.3390/nu16040534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
We aimed to investigate the association of a sustainable diet with a long-term reduction in waist circumference (WC) while identifying novel biomarkers for WC reduction (WCR). The participants were recruited initially during 2004-2013 in a large hospital-based cohort, and the follow-up measurements were conducted during 2012-2016. The 65,611 adults aged 45-75 were categorized into WC-loss (n = 22,290) and WC-gain (n = 43,321). Each study investigated demographic, anthropometric, biochemical, genetic, and dietary factors. The modified Healthy Eating Index (MHEI), dietary patterns, and glycemic index were calculated from a validated semi-quantitative food frequency questionnaire. Novel biomarkers influencing WC reduction were identified using machine learning approaches. A WCR was inversely associated with metabolic syndrome (MetS) risk and its components. Daily energy intake did not differ between those with and without WCR. However, MHEI, which represents diet quality, demonstrated a positive association with WCR. Among various dietary patterns, the Asian-style balanced diet (ABD), including more fermented soybeans and less restricted salt than the Diet Approach to Stop Hypertension, was positively associated with WCR. However, an inverse association was observed between the diet that was high in noodle and processed meat consumption and that which was high in rice consumption. However, the PRS for abdominal obesity did not significantly interrupt WCR. The receiver operating characteristic curve in the prediction model for WCR was about 0.86. The biomarkers in the models included MetS components, inflammation index, diet components, alcohol consumption, and smoking status, but not genetic factors. In conclusion, adopting a high-quality diet with a high MHEI like ABD leads to WCR, irrespective of genetic influences. These results could be applied to develop effective strategies for preventing and managing abdominal obesity.
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Affiliation(s)
- Sunmin Park
- Department of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, Asan-Si 31499, Republic of Korea
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11
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Jafari A, Faghfouri AH, Nikpayam O. The effect of low-fructose diet on anthropometric and metabolic factors: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis 2024; 34:281-293. [PMID: 38176960 DOI: 10.1016/j.numecd.2023.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 01/06/2024]
Abstract
AIMS In recent decades, there has been a rise in the consumption of sugars containing fructose, raising concerns about their association with metabolic disorders and obesity. We conducted a systematic review and meta-analysis of randomized controlled trials to assess the effects of a low-fructose diet on anthropometric and metabolic variables. DATA SYNTHESIS We conducted a systematic review and meta-analysis of randomized controlled trials to assess the effects of low-fructose diets on anthropometric and metabolic factors. Relevant studies were identified by searching electronic databases such as PubMed, Scopus, and Web of Science up to January 2023. The quality of the included studies was assessed using the Cochrane risk-of-bias tool. Ten trials with varying intervention durations (ranging from 4 to 24 weeks) and a total of 750 participants were included. The analysis revealed that a low-fructose diet had no significant effect on weight but did have a significant impact on body mass index (SMD = -0.2; 95 % CI: -0.37, -0.04, P = 0.017) and waist circumference (SMD = -0.48; 95 % CI: -0.67, -0.29, P < 0.0001). Furthermore, a low-fructose diet significantly affected systolic blood pressure (SMD = -0.24; 95 % CI: -0.39, -0.09, P = 0.002), fasting blood glucose (SMD = -0.23; 95 % CI: -0.40, -0.07, P = 0.005), hemoglobin A1c (SMD = -0.62; 95 % CI: -0.93, -0.31, P < 0.0001), and triglyceride levels (SMD = -0.17; 95 % CI: -0.33, -0.02, P = 0.028). However, it had no significant effect on diastolic blood pressure, insulin levels, or homeostatic model assessment of insulin resistance. Subgroup analysis indicated that a low-fructose diet had a greater effect on healthy participants aged over 50 years. CONCLUSIONS Meta-analysis results suggest that low-fructose diets significantly reduce body mass index, waist circumference, systolic blood pressure, fasting blood glucose, hemoglobin A1c, and triglyceride levels. Additionally, the results of the current study suggest that a low-fructose diet may be more effective in healthy individuals who are older than 50 years old compared to those younger than 50 years old.
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Affiliation(s)
- Ali Jafari
- Student Research Committee, Department of Nutrition, School of Health, Golestan University of Medical Sciences, Gorgan, Iran; Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Nutritional Health Team (NHT), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Amir Hossein Faghfouri
- Maternal and Childhood Obesity Research Center, Urmia University of Medical Sciences, Urmia, Iran
| | - Omid Nikpayam
- Department of Nutrition, School of Health, Golestan University of Medical Sciences, Gorgan, Iran.
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12
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Shannon CE, Ní Chathail MB, Mullin SM, Meehan A, McGillicuddy FC, Roche HM. Precision nutrition for targeting pathophysiology of cardiometabolic phenotypes. Rev Endocr Metab Disord 2023; 24:921-936. [PMID: 37402955 PMCID: PMC10492734 DOI: 10.1007/s11154-023-09821-5] [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] [Accepted: 06/22/2023] [Indexed: 07/06/2023]
Abstract
Obesity is a heterogenous disease accompanied by a broad spectrum of cardiometabolic risk profiles. Traditional paradigms for dietary weight management do not address biological heterogeneity between individuals and have catastrophically failed to combat the global pandemic of obesity-related diseases. Nutritional strategies that extend beyond basic weight management to instead target patient-specific pathophysiology are warranted. In this narrative review, we provide an overview of the tissue-level pathophysiological processes that drive patient heterogeneity to shape distinct cardiometabolic phenotypes in obesity. Specifically, we discuss how divergent physiology and postprandial phenotypes can reveal key metabolic defects within adipose, liver, or skeletal muscle, as well as the integrative involvement of the gut microbiome and the innate immune system. Finally, we highlight potential precision nutritional approaches to target these pathways and discuss recent translational evidence concerning the efficacy of such tailored dietary interventions for different obesity phenotypes, to optimise cardiometabolic benefits.
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Affiliation(s)
- Christopher E Shannon
- Nutrigenomics Research Group, UCD Conway Institute, and Institute of Food and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
- School of Medicine, University College Dublin, Dublin, Republic of Ireland
- Division of Diabetes, Department of Medicine, UT Health San Antonio, San Antonio, TX, USA
| | - Méabh B Ní Chathail
- Nutrigenomics Research Group, UCD Conway Institute, and Institute of Food and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
| | - Sinéad M Mullin
- Nutrigenomics Research Group, UCD Conway Institute, and Institute of Food and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
| | - Andrew Meehan
- School of Medicine, University College Dublin, Dublin, Republic of Ireland
| | | | - Helen M Roche
- Nutrigenomics Research Group, UCD Conway Institute, and Institute of Food and Health, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland.
- Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland.
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13
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Wopereis S. Phenotypic flexibility in nutrition research to quantify human variability: building the bridge to personalised nutrition. Proc Nutr Soc 2023; 82:346-358. [PMID: 36503652 DOI: 10.1017/s0029665122002853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Phenotypic flexibility is a methodology that accurately assesses health in terms of mechanistic understanding of the interrelationship of multiple metabolic and physiological processes. This starts from the perspective that a healthy person is better able to cope with changes in environmental stressors that affect homeostasis compared to people with a compromised health state. The term 'phenotypic flexibility' expresses the cumulative ability of overarching physiological processes to return to homeostatic levels after short-term perturbations. The concept of phenotypic flexibility to define biomarkers for nutrition-related health was introduced in 2009 in the area of health optimisation and prevention and delay of non-communicable disease. The core approach consists of the combination of imposing a challenge test to the body followed by time-resolved analysis of multiple biomarkers. This new approach may better facilitate nutritional health research in intervention studies since it may show effects on early derailed physiological markers and the biomarker response can be extended by perturbing the system, thereby making them more sensitive in detecting health effects from food and nutrition. At the same time, interindividual variation can also be extended and compressed by challenge tests, facilitating the bridge to personalised nutrition. This review will overview where the science is in this research arena and what the phenotypic flexibility potential is for the nutrition field.
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Affiliation(s)
- Suzan Wopereis
- Research Group Microbiology & Systems Biology, TNO, Netherlands Organisation for Applied Scientific Research, 2333 BE Leiden, the Netherlands
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14
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de Bie TH, Witkamp RF, Balvers MG, Jongsma MA. Effects of γ-aminobutyric acid supplementation on glucose control in adults with prediabetes: A double-blind, randomized, placebo-controlled trial. Am J Clin Nutr 2023; 118:708-719. [PMID: 37495019 DOI: 10.1016/j.ajcnut.2023.07.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 07/14/2023] [Accepted: 07/20/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Gamma-aminobutyric acid (GABA) is mainly known as an endogenously produced neurotransmitter. However, GABA intake from dietary sources like tomatoes and fermented foods can be considerable. Studies in rodent models have shown beneficial effects of oral GABA supplementation on glucose homeostasis and cardiovascular health. Still, it is currently unknown whether oral GABA supplementation produces cardiometabolic benefits in humans. OBJECTIVES This study aimed to investigate whether oral GABA supplementation can improve glucose homeostasis in individuals at risk of developing type 2 diabetes. METHODS In a randomized, placebo-controlled, double-blind, parallel-arm trial, 52 individuals with prediabetes (classified by impaired glucose tolerance and/or impaired fasting glucose), aged 50 to 70 y with a body mass index ≥25 kg/m2 received either 500 mg GABA 3 times daily or a placebo for 95 days. The primary outcome was the effect of the intervention on glucose response after an OGTT. As exploratory secondary outcomes, markers of glycemic control (glycated hemoglobin, insulin, glucagon, mean amplitude of glycemic excursions, and standard deviation as measured with flash glucose monitoring), cardiovascular health (blood pressure, 24-h blood pressure, circulating triglycerides, cholesterol), and self-reported sleep quality were measured before and after the intervention. RESULTS Compared with placebo, GABA supplementation for 95 days did not change the postprandial glucose response (0.21 mmol/L; 95% confidence interval: -0.252, 0.674; P = 0.364). After correction for the false discovery rate, all other outcomes (including fasting plasma GABA concentration) showed no significant effects from GABA intervention at a group level. CONCLUSIONS GABA supplementation does not change the postprandial glucose response in individuals at risk of developing type 2 diabetes. However, based on findings in secondary outcome measures, further research is warranted in other study populations. Research could focus on the effects of GABA in individuals with advanced diabetes or other cardiometabolic disorders. This trial was registered at www. CLINICALTRIALS gov as NCT04303468.
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Affiliation(s)
- Tessa H de Bie
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands; Wageningen Plant Research, Wageningen University & Research, Wageningen, The Netherlands.
| | - Renger F Witkamp
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Michiel Gj Balvers
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Maarten A Jongsma
- Wageningen Plant Research, Wageningen University & Research, Wageningen, The Netherlands
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15
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Rundle M, Fiamoncini J, Thomas EL, Wopereis S, Afman LA, Brennan L, Drevon CA, Gundersen TE, Daniel H, Perez IG, Posma JM, Ivanova DG, Bell JD, van Ommen B, Frost G. Diet-induced Weight Loss and Phenotypic Flexibility Among Healthy Overweight Adults: A Randomized Trial. Am J Clin Nutr 2023; 118:591-604. [PMID: 37661105 PMCID: PMC10517213 DOI: 10.1016/j.ajcnut.2023.07.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND The capacity of an individual to respond to changes in food intake so that postprandial metabolic perturbations are resolved, and metabolism returns to its pre-prandial state, is called phenotypic flexibility. This ability may be a more important indicator of current health status than metabolic markers in a fasting state. AIM In this parallel randomized controlled trial study, an energy-restricted healthy diet and 2 dietary challenges were used to assess the effect of weight loss on phenotypic flexibility. METHODS Seventy-two volunteers with overweight and obesity underwent a 12-wk dietary intervention. The participants were randomized to a weight loss group (WLG) with 20% less energy intake or a weight-maintenance group (WMG). At weeks 1 and 12, participants were assessed for body composition by MRI. Concurrently, markers of metabolism and insulin sensitivity were obtained from the analysis of plasma metabolome during 2 different dietary challenges-an oral glucose tolerance test (OGTT) and a mixed-meal tolerance test. RESULTS Intended weight loss was achieved in the WLG (-5.6 kg, P < 0.0001) and induced a significant reduction in total and regional adipose tissue as well as ectopic fat in the liver. Amino acid-based markers of insulin action and resistance such as leucine and glutamate were reduced in the postprandial phase of the OGTT in the WLG by 11.5% and 28%, respectively, after body weight reduction. Weight loss correlated with the magnitude of changes in metabolic responses to dietary challenges. Large interindividual variation in metabolic responses to weight loss was observed. CONCLUSION Application of dietary challenges increased sensitivity to detect metabolic response to weight loss intervention. Large interindividual variation was observed across a wide range of measurements allowing the identification of distinct responses to the weight loss intervention and mechanistic insight into the metabolic response to weight loss.
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Affiliation(s)
- Milena Rundle
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jarlei Fiamoncini
- Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
| | - E Louise Thomas
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Suzan Wopereis
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Lydia A Afman
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway; Vitas Ltd, Oslo Science Park, Oslo, Norway
| | | | - Hannelore Daniel
- Hannelore Daniel, Molecular Nutrition Unit, Technische Universität München, München, Germany
| | - Isabel Garcia Perez
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Joram M Posma
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Diana G Ivanova
- Department of Biochemistry, Molecular Medicine and Nutrigenomics, Faculty of Pharmacy, Medical University, Varna, Bulgaria
| | - Jimmy D Bell
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom
| | - Ben van Ommen
- Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research, Hague, The Netherlands
| | - Gary Frost
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
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16
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Recchia F, Leung CK, Yu AP, Leung W, Yu DJ, Fong DY, Montero D, Lee CH, Wong SHS, Siu PM. Dose-response effects of exercise and caloric restriction on visceral adiposity in overweight and obese adults: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med 2023; 57:1035-1041. [PMID: 36669870 PMCID: PMC10423480 DOI: 10.1136/bjsports-2022-106304] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/27/2022] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To determine and compare the dose-response effects of exercise and caloric restriction on visceral adipose tissue in overweight and obese adults, while controlling for the weekly energy deficit induced by the interventions. METHODS PubMed, Embase, CINAHL and Web of Science were searched for randomised controlled trials comparing exercise or caloric restriction against eucaloric controls in overweight or obese adults. The primary outcome was the change in visceral fat measured by CT or MRI. Meta-analyses and meta-regressions were performed to determine the overall effect size (ES) and the dose-dependent relationship of exercise and caloric restriction on visceral fat. Heterogeneity, risk of bias and the certainty of evidence were also assessed. RESULTS Forty randomised controlled trials involving 2190 participants were included. Overall, exercise (ES -0.28 (-0.37 to -0.19); p<0.001; I2=25%) and caloric restriction (ES -0.53 (-0.71 to -0.35); p<0.001; I2=33%) reduced visceral fat compared with the controls. Exercise demonstrated a dose-response effect of -0.15 ((-0.23 to -0.07); p<0.001) per 1000 calories deficit per week, whereas the effect of caloric restriction was not dose-dependent (ES 0.03 (-0.12 to 0.18); p=0.64). Most of the studies showed a moderate risk of bias. CONCLUSIONS These findings support the dose-dependent effects of exercise to reduce visceral fat in overweight and obese adults. Caloric restriction did not demonstrate a dose-response relationship, although this may be attributed to the smaller number of studies available for analysis, compared with exercise studies. PROSPERO REGISTRATION NUMBER CRD42020210096.
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Affiliation(s)
- Francesco Recchia
- Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Chit K Leung
- Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Angus P Yu
- Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Welton Leung
- Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Danny J Yu
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Daniel Y Fong
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - David Montero
- Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Chi-Ho Lee
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Stephen H S Wong
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Parco M Siu
- Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
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17
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Harlan TS, Gow RV, Kornstädt A, Alderson PW, Lustig RH. The Metabolic Matrix: Re-engineering ultraprocessed foods to feed the gut, protect the liver, and support the brain. Front Nutr 2023; 10:1098453. [PMID: 37063330 PMCID: PMC10097968 DOI: 10.3389/fnut.2023.1098453] [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: 11/14/2022] [Accepted: 03/03/2023] [Indexed: 04/03/2023] Open
Abstract
Ultraprocessed food is established as a metabolic disruptor acting to increase adiposity, reduce mitochondrial efficiency, drive insulin resistance, alter growth, and contribute to human morbidity and mortality. Consumer packaged goods (CPG) companies are beginning to understand the detrimental impact of the food they market, and have employed substitution strategies to reduce salt, sugar, and fat. However, the harms of ultraprocessed foods are far more complex than any single component, and are not ameliorated by such simple substitutions. Over the past 2 years, the authors have worked with the Kuwaiti Danish Dairy Company (KDD) to conduct a comprehensive scientific evaluation of their entire commercial food and beverage portfolio. Assay of the macronutrients, micronutrients, additives, and toxins contained in each of their products was undertaken to determine the precise nature of each product's ingredients as well as the health impacts of processing. The authors formed a Scientific Advisory Team (SAT) and developed a tiered "Metabolic Matrix" founded in three science-based principles: (1) protect the liver, (2) feed the gut, and (3) support the brain. The Metabolic Matrix categorizes each product and provides the criteria, metrics, and recommendations for improvement or reformulation. Real-time consultation with the KDD Executive and Operations teams was vital to see these procedures through to fruition. This scientific exercise has enabled KDD to lay the groundwork for improving the health, well-being, and sustainability of their entire product line, while maintaining flavor, economic, and fiscal viability. This process is easily transferrable, and we are sharing this effort and its approaches as a proof-of-concept. The key aim of our work is to not only make ultraprocessed food healthier but to urge other food companies to implement similar analysis and reformulation of their product lines to improve the metabolic health and well-being of consumers worldwide.
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Affiliation(s)
- Timothy S. Harlan
- Division of General Internal Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, United States
| | - Rachel V. Gow
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, United Kingdom
| | | | - P. Wolfram Alderson
- Human & Environmental Health Department, Kuwaiti Danish Dairy Company, Kuwait City, Kuwait
| | - Robert H. Lustig
- Department of Pediatrics and Institute for Health Policy Studies, University of California, San Francisco, San Francisco, CA, United States
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18
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Trouwborst I, Gijbels A, Jardon KM, Siebelink E, Hul GB, Wanders L, Erdos B, Péter S, Singh-Povel CM, de Vogel-van den Bosch J, Adriaens ME, Arts ICW, Thijssen DHJ, Feskens EJM, Goossens GH, Afman LA, Blaak EE. Cardiometabolic health improvements upon dietary intervention are driven by tissue-specific insulin resistance phenotype: A precision nutrition trial. Cell Metab 2023; 35:71-83.e5. [PMID: 36599304 DOI: 10.1016/j.cmet.2022.12.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 10/12/2022] [Accepted: 11/13/2022] [Indexed: 01/05/2023]
Abstract
Precision nutrition based on metabolic phenotype may increase the effectiveness of interventions. In this proof-of-concept study, we investigated the effect of modulating dietary macronutrient composition according to muscle insulin-resistant (MIR) or liver insulin-resistant (LIR) phenotypes on cardiometabolic health. Women and men with MIR or LIR (n = 242, body mass index [BMI] 25-40 kg/m2, 40-75 years) were randomized to phenotype diet (PhenoDiet) group A or B and followed a 12-week high-monounsaturated fatty acid (HMUFA) diet or low-fat, high-protein, and high-fiber diet (LFHP) (PhenoDiet group A, MIR/HMUFA and LIR/LFHP; PhenoDiet group B, MIR/LFHP and LIR/HMUFA). PhenoDiet group B showed no significant improvements in the primary outcome disposition index, but greater improvements in insulin sensitivity, glucose homeostasis, serum triacylglycerol, and C-reactive protein compared with PhenoDiet group A were observed. We demonstrate that modulating macronutrient composition within the dietary guidelines based on tissue-specific insulin resistance (IR) phenotype enhances cardiometabolic health improvements. Clinicaltrials.gov registration: NCT03708419, CCMO registration NL63768.068.17.
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Affiliation(s)
- Inez Trouwborst
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; TI Food and Nutrition (TIFN), Wageningen, the Netherlands
| | - Anouk Gijbels
- TI Food and Nutrition (TIFN), Wageningen, the Netherlands; Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Kelly M Jardon
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; TI Food and Nutrition (TIFN), Wageningen, the Netherlands
| | - Els Siebelink
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Gabby B Hul
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; TI Food and Nutrition (TIFN), Wageningen, the Netherlands
| | - Lisa Wanders
- TI Food and Nutrition (TIFN), Wageningen, the Netherlands; Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Balázs Erdos
- TI Food and Nutrition (TIFN), Wageningen, the Netherlands; Maastricht Centre for Systems Biology, Maastricht University, Maastricht, the Netherlands
| | | | | | | | - Michiel E Adriaens
- TI Food and Nutrition (TIFN), Wageningen, the Netherlands; Maastricht Centre for Systems Biology, Maastricht University, Maastricht, the Netherlands
| | - Ilja C W Arts
- TI Food and Nutrition (TIFN), Wageningen, the Netherlands; Maastricht Centre for Systems Biology, Maastricht University, Maastricht, the Netherlands
| | - Dick H J Thijssen
- Radboud Institute for Health Sciences, Department of Physiology, Radboud University Medical Center, Nijmegen, the Netherlands; Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Gijs H Goossens
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Lydia A Afman
- TI Food and Nutrition (TIFN), Wageningen, the Netherlands; Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Ellen E Blaak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; TI Food and Nutrition (TIFN), Wageningen, the Netherlands.
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19
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Luo S, Zhang H, Jiang X, Xia Y, Tang S, Duan X, Sun W, Gao M, Chen C, Zou Z, Zhou L, Qiu J. Antibiotics administration alleviates the high fat diet-induced obesity through altering the lipid metabolism in young mice. Lipids 2023; 58:19-32. [PMID: 36253942 DOI: 10.1002/lipd.12361] [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: 06/17/2022] [Revised: 08/24/2022] [Accepted: 09/19/2022] [Indexed: 02/04/2023]
Abstract
Currently, there is a global trend of rapid increase in obesity, especially among adolescents. The antibiotics cocktails (ABX) therapy is commonly used as an adjunctive treatment for gut microbiota related diseases, including obesity. However, the effects of broad-spectrum antibiotics alone on young obese hosts have rarely been reported. In the present study, the 3-week-old C57BL/6J male mice fed a high-fat diet (HFD) were intragastric administration with ampicillin, vancomycin, metronidazole or neomycin for 30 days. The lipid metabolites in plasma were assessed by biochemical assay kits, and genes related to lipid metabolite in the white adipose were assessed by qPCR. To further analyze the underlying mechanisms, the expression of genes related to lipid metabolism, inflammatory reactions and oxidative stress in the liver were determined by qPCR assay. In addition, the expression of oxidative damage-associated proteins in the liver were detected by western blot. The results showed that oral antibiotics exposure could reduce body weight and fat index in HFD-fed mice, concurrent with the increase of white adipose lipolysis genes and the decrease of hepatic lipogenic genes. Furthermore, antibiotics treatment could clearly reverse the HFD-induced elevation of oxidative damage-related proteins in the liver. Together, these findings will provide valuable clues into the effects of antibiotics on obesity.
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Affiliation(s)
- Shiyue Luo
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Hongyang Zhang
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Xuejun Jiang
- Center of Experimental Teaching for Public Health, Experimental Teaching and Management Center, Chongqing Medical University, Chongqing, People's Republic of China.,Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Yinyin Xia
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.,Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Shixin Tang
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Xinhao Duan
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Wei Sun
- Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Min Gao
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Chengzhi Chen
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.,Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Zhen Zou
- Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.,Institute of Life Sciences, Chongqing Medical University, Chongqing, People's Republic of China
| | - Lixiao Zhou
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.,Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Jingfu Qiu
- Department of Health Laboratory Technology, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.,Research Center for Environment and Human Health, School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China
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Plasma FGF21 Levels Are Not Associated with Weight Loss or Improvements in Metabolic Health Markers upon 12 Weeks of Energy Restriction: Secondary Analysis of an RCT. Nutrients 2022; 14:nu14235061. [PMID: 36501091 PMCID: PMC9735516 DOI: 10.3390/nu14235061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/27/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
Recent studies suggest that circulating fibroblast growth factor 21 (FGF21) may be a marker of metabolic health status. We performed a secondary analysis of a 12-week randomized controlled trial to investigate the effects of two energy restriction (ER) diets on fasting and postprandial plasma FGF21 levels, as well as to explore correlations of plasma FGF21 with metabolic health markers, (macro)nutrient intake and sweet-taste preference. Abdominally obese subjects aged 40-70 years (n = 110) were randomized to one of two 25% ER diets (high-nutrient-quality diet or low-nutrient-quality diet) or a control group. Plasma FGF21 was measured in the fasting state and 120 min after a mixed meal. Both ER diets did not affect fasting or postprandial plasma FGF21 levels despite weight loss and accompanying health improvements. At baseline, the postprandial FGF21 response was inversely correlated to fasting plasma glucose (ρ = -0.24, p = 0.020) and insulin (ρ = -0.32, p = 0.001), HOMA-IR (ρ = -0.34, p = 0.001), visceral adipose tissue (ρ = -0.24, p = 0.046), and the liver enzyme aspartate aminotransferase (ρ = -0.23, p = 0.021). Diet-induced changes in these markers did not correlate to changes in plasma FGF21 levels upon intervention. Baseline higher habitual polysaccharide intake, but not mono- and disaccharide intake or sweet-taste preference, was related to lower fasting plasma FGF21 (p = 0.022). In conclusion, we found no clear evidence that fasting plasma FGF21 is a marker for metabolic health status. Circulating FGF21 dynamics in response to an acute nutritional challenge may reflect metabolic health status better than fasting levels.
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