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Trouwborst I, Jardon KM, Gijbels A, Hul G, Feskens EJM, Afman LA, Linge J, Goossens GH, Blaak EE. Body composition and body fat distribution in tissue-specific insulin resistance and in response to a 12-week isocaloric dietary macronutrient intervention. Nutr Metab (Lond) 2024; 21:20. [PMID: 38594756 PMCID: PMC11003022 DOI: 10.1186/s12986-024-00795-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/03/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Body composition and body fat distribution are important predictors of cardiometabolic diseases. The etiology of cardiometabolic diseases is heterogenous, and partly driven by inter-individual differences in tissue-specific insulin sensitivity. OBJECTIVES To investigate (1) the associations between body composition and whole-body, liver and muscle insulin sensitivity, and (2) changes in body composition and insulin sensitivity and their relationship after a 12-week isocaloric diet high in mono-unsaturated fatty acids (HMUFA) or a low-fat, high-protein, high-fiber (LFHP) diet. METHODS This subcohort analysis of the PERSON study includes 93 individuals (53% women, BMI 25-40 kg/m2, 40-75 years) who participated in this randomized intervention study. At baseline and after 12 weeks of following the LFHP, or HMUFA diet, we performed a 7-point oral glucose tolerance test to assess whole-body, liver, and muscle insulin sensitivity, and whole-body magnetic resonance imaging to determine body composition and body fat distribution. Both diets are within the guidelines of healthy nutrition. RESULTS At baseline, liver fat content was associated with worse liver insulin sensitivity (β [95%CI]; 0.12 [0.01; 0.22]). Only in women, thigh muscle fat content was inversely related to muscle insulin sensitivity (-0.27 [-0.48; -0.05]). Visceral adipose tissue (VAT) was inversely associated with whole-body, liver, and muscle insulin sensitivity. Both diets decreased VAT, abdominal subcutaneous adipose tissue (aSAT), and liver fat, but not whole-body and tissue-specific insulin sensitivity with no differences between diets. Waist circumference, however, decreased more following the LFHP diet as compared to the HMUFA diet (-3.0 vs. -0.5 cm, respectively). After the LFHP but not HMUFA diet, improvements in body composition were positively associated with improvements in whole-body and liver insulin sensitivity. CONCLUSIONS Liver and muscle insulin sensitivity are distinctly associated with liver and muscle fat accumulation. Although both LFHP and HMUFA diets improved in body fat, VAT, aSAT, and liver fat, only LFHP-induced improvements in body composition are associated with improved insulin sensitivity. TRIAL REGISTRATION NCT03708419 (clinicaltrials.gov).
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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 +, Universiteitssingel 50, 6229 ER, Maastricht, the Netherlands
- TI Food and Nutrition (TiFN), Wageningen, The Netherlands
| | - Kelly M Jardon
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center +, Universiteitssingel 50, 6229 ER, 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
| | - Gabby Hul
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center +, Universiteitssingel 50, 6229 ER, Maastricht, the Netherlands
| | - Edith J M 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
| | - Jennifer Linge
- AMRA Medical AB, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Gijs H Goossens
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center +, Universiteitssingel 50, 6229 ER, Maastricht, the Netherlands
| | - Ellen E Blaak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center +, Universiteitssingel 50, 6229 ER, Maastricht, the Netherlands.
- TI Food and Nutrition (TiFN), Wageningen, The Netherlands.
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Huang T, Zhuang Z, Heianza Y, Sun D, Ma W, Wang W, Gao M, Fang Z, Ros E, Del Gobbo LC, Salas-Salvadó J, Martínez-González MA, Polak J, Laakso M, Astrup A, Langin D, Hager J, Hul G, Hansen T, Pedersen O, Oppert JM, Saris WHM, Arner P, Cofán M, Rajaram S, Tuomilehto J, Lindström J, de Mello VD, Stancacova A, Uusitupa M, Svendstrup M, Sørensen TIA, Gardner CD, Sabaté J, Corella D, Martinez JA, Qi L. Interaction of Diet/Lifestyle Intervention and TCF7L2 Genotype on Glycemic Control and Adiposity among Overweight or Obese Adults: Big Data from Seven Randomized Controlled Trials Worldwide. Health Data Sci 2021; 2021:9897048. [PMID: 38487510 PMCID: PMC10904069 DOI: 10.34133/2021/9897048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 09/19/2021] [Indexed: 11/06/2022]
Abstract
Objective. The strongest locus which associated with type 2 diabetes (T2D) by the common variant rs7903146 is the transcription factor 7-like 2 gene (TCF7L2). We aimed to quantify the interaction of diet/lifestyle interventions and the genetic effect of TCF7L2 rs7903146 on glycemic traits, body weight, or waist circumference in overweight or obese adults in several randomized controlled trials (RCTs).Methods. From October 2016 to May 2018, a large collaborative analysis was performed by pooling individual-participant data from 7 RCTs. These RCTs reported changes in glycemic control and adiposity of the variant rs7903146 after dietary/lifestyle-related interventions in overweight or obese adults. Gene treatment interaction models which used the genetic effect encoded by the allele dose and common covariates were applicable to individual participant data in all studies.Results. In the joint analysis, a total of 7 eligible RCTs were included (n = 4,114 ). Importantly, we observed a significant effect modification of diet/lifestyle-related interventions on the TCF7L2 variant rs7903146 and changes in fasting glucose. Compared with the control group, diet/lifestyle interventions were related to lower fasting glucose by -3.06 (95% CI, -5.77 to -0.36) mg/dL (test for heterogeneity and overall effect: I 2 = 45.1 % , p < 0.05 ; z = 2.20 , p = 0.028 ) per one copy of the TCF7L2 T risk allele. Furthermore, regardless of genetic risk, diet/lifestyle interventions were associated with lower waist circumference. However, there was no significant change for diet/lifestyle interventions in other glycemic control and adiposity traits per one copy of TCF7L2 risk allele.Conclusions. Our findings suggest that carrying the TCF7L2 T risk allele may have a modestly greater benefit for specific diet/lifestyle interventions to improve the control of fasting glucose in overweight or obese adults.
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Affiliation(s)
- Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China
- Department of Global Health, School of Public Health, Peking University, China
- Key Laboratory of Molecular Cardiovascular Sciences Ministry of Education, China
- Global Health Institute Peking University, China
| | - Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Wenjie Ma
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Wenxiu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China
| | - Meng Gao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China
| | - Zhe Fang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China
| | - Emilio Ros
- Department of Endocrinology & Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clínic, Barcelona, Spain
- CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Liana C. Del Gobbo
- Stanford Prevention Research Center, Stanford University, Stanford CA, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Institute, Rovira i Virgili University, Reus, Spain
| | - Miguel A. Martínez-González
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Medical School & IDISNA, Pamplona, Spain
| | - Jan Polak
- Department for the Study of Obesity and Diabetes, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Arne Astrup
- University of Copenhagen, Department of Nutrition, Exercise and Sports, Faculty of Science, Copenhagen, Denmark
| | - Dominique Langin
- Institut National de la Santé et de la Recherche Médicale (Inserm), UMR1048, Institute of Metabolic and Cardiovascular Diseases, University of Toulouse and Paul Sabatier University, Toulouse, France
| | - Jorg Hager
- Nestlé Institute of Health Sciences, Lausanne, Switzerland
| | - Gabby Hul
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +, Maastricht, Netherlands
| | - Torben Hansen
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jean-Michel Oppert
- Sorbonne Université, Institute of Cardiometabolism and Nutrition (ICAN), Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Wim H. M. Saris
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre +, Maastricht, Netherlands
| | - Peter Arner
- Department of Medicine, Unit for Endocrinology and Diabetes, Karolinska University Hospital, Stockholm, Sweden
| | - Montserrat Cofán
- Department of Endocrinology & Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clínic, Barcelona, Spain
- CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Sujatha Rajaram
- School of Public Health, Loma Linda University, Loma Linda, CA, USA
| | - Jaakko Tuomilehto
- Department of Chronic Disease Prevention, Finnish National Institute for Health and Welfare, HelsinkiFinland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Jaana Lindström
- Department of Chronic Disease Prevention, Finnish National Institute for Health and Welfare, HelsinkiFinland
| | - Vanessa D. de Mello
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Alena Stancacova
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Mathilde Svendstrup
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Danish Diabetes Academy Odense, Denmark
| | - Thorkild I. A. Sørensen
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | | | - Joan Sabaté
- School of Public Health, Loma Linda University, Loma Linda, CA, USA
| | - Dolores Corella
- CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - J. Alfredo Martinez
- CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition Food Science and Physiology, University of Navarra, IDISNA, Pamplona and IMDEA, Madrid, Spain
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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van Baak MA, Hul G, Astrup A, Saris WH. Physical Activity, Weight Loss, and Weight Maintenance in the DiOGenes Multicenter Trial. Front Nutr 2021; 8:683369. [PMID: 34277683 PMCID: PMC8277960 DOI: 10.3389/fnut.2021.683369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 06/08/2021] [Indexed: 11/13/2022] Open
Abstract
In this secondary analysis of the DiOGenes study, we investigated whether physical activity (PA) contributes to diet-induced weight loss and helps to reduce subsequent regain. We also studied the associations of PA with changes in cardiometabolic variables. Adults with overweight were included and followed an 8-week low-calorie diet (LCD). When successful (>8% weight loss), participants were randomized to different ad libitum diet groups and were advised to maintain their weight loss over the 6-month intervention period. Body weight (BW), body composition, cardiometabolic variables and subjectively-assessed PA were measured at baseline, at the end of weight loss and at the end of the intervention. BW was reduced by the LCD (from 99.8 ± 16.7 to 88.4 ± 14.9 kg; P < 0.001). This reduction was maintained during the weight maintenance period (89.2 ± 16.0 kg). Total PA (sum score of the three subscales of the Baecke questionnaire) increased during the weight loss period (from 8.16 ± 0.83 to 8.39 ± 0.78; P < 0.001) and this increase was subsequently maintained (8.42 ± 0.90). We found no evidence that baseline PA predicted weight loss. However, a higher level of baseline PA predicted a larger weight-loss-induced improvement in total cholesterol, triglycerides, glucose and CRP, and in post-prandial insulin sensitivity (Matsuda index). Subsequent weight and fat mass maintenance were predicted by the post-weight loss level of PA and associated with changes in PA during the weight maintenance phase. In conclusion, despite the fact that higher baseline levels of PA did not predict more weight loss during the LCD, nor that an increase in PA during the LCD was associated with more weight loss, higher PA levels were associated with more improvements in several cardiometabolic variables. The positive effect of higher PA on weight loss maintenance seems in contrast to randomized controlled trials that have not been able to confirm a positive effect of exercise training programmes on weight loss maintenance. This analysis supports the notion that higher self-imposed levels of PA may improve the cardiometabolic risk profile during weight loss and help to maintain weight loss afterwards.
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Affiliation(s)
- Marleen A. van Baak
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre+, Maastricht, Netherlands
| | - Gabby Hul
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre+, Maastricht, Netherlands
| | - Arne Astrup
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Wim H. Saris
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre+, Maastricht, Netherlands
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Blaak EE, Hul G, Verdich C, Stich V, Martinez JA, Petersen M, Feskens EFM, Patel K, Oppert JM, Barbe P, Toubro S, Polak J, Anderson I, Astrup A, Macdonald I, Langin D, Sørensen T, Saris WH. Impaired fat-induced thermogenesis in obese subjects: the NUGENOB study. Obesity (Silver Spring) 2007; 15:653-63. [PMID: 17372316 DOI: 10.1038/oby.2007.606] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVES To study energy expenditure before and 3 hours after a high-fat load in a large cohort of obese subjects (n = 701) and a lean reference group (n = 113). RESEARCH METHODS AND PROCEDURES Subjects from seven European countries underwent a 1-day clinical study with a liquid test meal challenge containing 95% fat (energy content was 50% of estimated resting energy expenditure). Fasting and 3-hour postprandial energy expenditures, as well as metabolites and hormones, were determined. RESULTS Obese subjects had a reduced postprandial energy expenditure after the high-fat load, independent of body composition, age, sex, research center, and resting energy expenditure, whereas within the obese group, thermogenesis increased again with increasing BMI category. Additionally, insulin resistance, habitual physical activity, postprandial plasma triacylglycerols, and insulin were all independently positively related to the postprandial energy expenditure. Resting energy expenditure, adjusted for fat-free mass, increased with degree of obesity, a difference that disappeared after adjustment for fat mass. Furthermore, insulin resistance, fasting plasma free fatty acids, and cortisol were positively associated, whereas fasting plasma leptin and insulin-like growth factor-1 were negatively associated, with resting energy expenditure. DISCUSSION The 3-hour fat-induced thermogenic response is reduced in obesity. It remains to be determined whether this blunted thermogenic response is a contributory factor or an adaptive response to the obese state.
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Affiliation(s)
- Ellen E Blaak
- Department of Human Biology, Nutrition and Toxicology Research Institute Maastricht, Maastricht, The Netherlands.
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