1
|
Thillainadesan S, Lambert A, Cooke KC, Stöckli J, Yau B, Masson SWC, Howell A, Potter M, Fuller OK, Jiang YL, Kebede MA, Morahan G, James DE, Madsen S, Hocking SL. The metabolic consequences of 'yo-yo' dieting are markedly influenced by genetic diversity. Int J Obes (Lond) 2024; 48:1170-1179. [PMID: 38961153 PMCID: PMC11281900 DOI: 10.1038/s41366-024-01542-2] [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: 09/07/2023] [Revised: 04/09/2024] [Accepted: 05/10/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Weight loss can improve the metabolic complications of obesity. However, it is unclear whether insulin resistance persists despite weight loss and whether any protective benefits are preserved following weight regain (weight cycling). The impact of genetic background on weight cycling is undocumented. We aimed to investigate the effects of weight loss and weight cycling on metabolic outcomes and sought to clarify the role of genetics in this relationship. METHOD Both C57BL/6 J and genetically heterogeneous Diversity Outbred Australia (DOz) mice were alternately fed high fat Western-style diet (WD) and a chow diet at 8-week intervals. Metabolic measures including body composition, glucose tolerance, pancreatic beta cell activity, liver lipid levels and adipose tissue insulin sensitivity were determined. RESULTS After diet switch from WD (8-week) to chow (8-week), C57BL/6 J mice displayed a rapid normalisation of body weight, adiposity, hyperinsulinemia, liver lipid levels and glucose uptake into adipose tissue comparable to chow-fed controls. In response to the same dietary intervention, genetically diverse DOz mice conversely maintained significantly higher fat mass and insulin levels compared to chow-fed controls and exhibited much more profound interindividual variability than C57BL/6 J mice. Weight cycled (WC) animals were re-exposed to WD (8-week) and compared to age-matched controls fed 8-week WD for the first time (LOb). In C57BL/6 J but not DOz mice, WC animals had significantly higher blood insulin levels than LOb controls. All WC animals exhibited significantly greater beta cell activity than LOb controls despite similar fat mass, glucose tolerance, liver lipid levels and insulin-stimulated glucose uptake in adipose tissue. CONCLUSION Following weight loss, metabolic outcomes return to baseline in C57BL/6 J mice with obesity. However, genetic diversity significantly impacts this response. A period of weight loss does not provide lasting benefits after weight regain, and weight cycling is detrimental and associated with hyperinsulinemia and elevated basal insulin secretion.
Collapse
Affiliation(s)
- Senthil Thillainadesan
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Camperdown, NSW, 2050, Australia
| | - Aaron Lambert
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Kristen C Cooke
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Jacqueline Stöckli
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Belinda Yau
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Stewart W C Masson
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Anna Howell
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Meg Potter
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Oliver K Fuller
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Yi Lin Jiang
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Melkam A Kebede
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Grant Morahan
- Australian Centre for Advancing Diabetes Innovations, Harry Perkins Institute of Medical Research, Nedlands, WA, Australia
| | - David E James
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia.
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia.
| | - Søren Madsen
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.
- School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia.
| | - Samantha L Hocking
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia.
- Department of Endocrinology, Royal Prince Alfred Hospital, Camperdown, NSW, 2050, Australia.
| |
Collapse
|
2
|
Dabas J, Shunmukha Priya S, Alawani A, Budhrani P. What could be the reasons for not losing weight even after following a weight loss program? JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2024; 43:37. [PMID: 38429842 PMCID: PMC10908186 DOI: 10.1186/s41043-024-00516-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/28/2024] [Indexed: 03/03/2024]
Abstract
INTRODUCTION Approximately four million people worldwide die annually because of obesity. Weight loss is commonly recommended as a first-line therapy in overweight and obese patients. Although many individuals attempt to lose weight, not everyone achieves optimal success. Few studies point out that weight loss eventually slows down, stagnates or reverses in 85% of the cases. RESEARCH QUESTION What could be the reasons for not losing weight even after following a weight loss program? METHODS A scoping review of the literature was performed using weight loss-related search terms such as 'Obesity,' 'Overweight,' 'Lifestyle,' 'weight loss,' 'Basal Metabolism,' 'physical activity,' 'adherence,' 'energy balance,' 'Sleep' and 'adaptations. The search involved reference tracking and database and web searches (PUBMED, Science Direct, Elsevier, Web of Science and Google Scholar). Original articles and review papers on weight loss involving human participants and adults aged > 18 years were selected. Approximately 231 articles were reviewed, and 185 were included based on the inclusion criteria. DESIGN Scoping review. RESULTS In this review, the factors associated with not losing weight have broadly been divided into five categories. Studies highlighting each subfactor were critically reviewed and discussed. A wide degree of interindividual variability in weight loss is common in studies even after controlling for variables such as adherence, sex, physical activity and baseline weight. In addition to these variables, variations in factors such as previous weight loss attempts, sleep habits, meal timings and medications can play a crucial role in upregulating or downregulating the association between energy deficit and weight loss results. CONCLUSION This review identifies and clarifies the role of several factors that may hinder weight loss after the exploration of existing evidence. Judging the effectiveness of respective lifestyle interventions by simply observing the 'general behavior of the groups' is not always applicable in clinical practice. Each individual must be monitored and advised as per their requirements and challenges.
Collapse
Affiliation(s)
- Jyoti Dabas
- Institute of Nutrition and Fitness Sciences, Platinum Square, 4th floor, Office, 403, Opp. WNS, Sakore Nagar, Viman Nagar, Pune, Maharashtra, 411014, India
| | - S Shunmukha Priya
- Institute of Nutrition and Fitness Sciences, Platinum Square, 4th floor, Office, 403, Opp. WNS, Sakore Nagar, Viman Nagar, Pune, Maharashtra, 411014, India.
| | - Akshay Alawani
- Institute of Nutrition and Fitness Sciences, Platinum Square, 4th floor, Office, 403, Opp. WNS, Sakore Nagar, Viman Nagar, Pune, Maharashtra, 411014, India
| | - Praveen Budhrani
- Institute of Nutrition and Fitness Sciences, Platinum Square, 4th floor, Office, 403, Opp. WNS, Sakore Nagar, Viman Nagar, Pune, Maharashtra, 411014, India
| |
Collapse
|
3
|
Kim M, Lee S, Cho E, Hong KW, You SJ, Choi HJ. CETP and APOA2 polymorphisms are associated with weight loss and healthy eating behavior changes in response to digital lifestyle modifications. Sci Rep 2023; 13:21615. [PMID: 38062157 PMCID: PMC10703771 DOI: 10.1038/s41598-023-48823-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
Response to digital healthcare lifestyle modifications is highly divergent. This study aimed to examine the association between single nucleotide polymorphism (SNP) genotypes and clinical efficacy of a digital healthcare lifestyle modification. We genotyped 97 obesity-related SNPs from 45 participants aged 18-39 years, who underwent lifestyle modification via digital cognitive behavioral therapy for obesity for 8 weeks. Anthropometric, eating behavior phenotypes, and psychological measures were analyzed before and after the intervention to identify their clinical efficacy. CETP (rs9939224) SNP significantly predict "super-responders" with greater body mass index (BMI) reduction (p = 0.028; GG - 2.91%, GT - 9.94%), while APOA2 (rs5082) appeared to have some potential for predicting "poor-responders" with lower BMI reduction (p = 0.005; AA - 6.17%, AG + 2.05%, and GG + 5.11%). These SNPs was also associated with significant differences in eating behavior changes, healthy diet proportions, health diet diversity, emotional and restrained eating behavior changes. Furthermore, classification using gene-gene interactions between rs9939224 and rs5082 significantly predicted the best response, with a greater decrease in BMI (p = 0.038; - 11.45% for the best response group (CEPT GT/TT × APOA2 AA) vs. + 2.62% for the worst response group (CEPT GG × APOA2 AG/GG)). CETP and APOA2 SNPs can be used as candidate markers to predict the efficacy of digital healthcare lifestyle modifications based on genotype-based precision medicine.Trial registration: NCT03465306, ClinicalTrials.gov. Registered March, 2018.
Collapse
Affiliation(s)
- Meelim Kim
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
- Center for Wireless and Population Health Systems, Calit2's Qualcomm Institute, University of California, San Diego, La Jolla, CA, USA
- The Design Lab, University of California, San Diego, La Jolla, CA, USA
| | - Seolha Lee
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea
- Department of Global Medical Science, Sungshin Women's University, Seoul, Korea
| | - Eun Cho
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea
| | | | | | - Hyung Jin Choi
- Department of Biomedical Science, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-799, Korea.
| |
Collapse
|
4
|
Pileggi CA, Blondin DP, Hooks BG, Parmar G, Alecu I, Patten DA, Cuillerier A, O'Dwyer C, Thrush AB, Fullerton MD, Bennett SA, Doucet É, Haman F, Cuperlovic-Culf M, McPherson R, Dent RRM, Harper ME. Exercise training enhances muscle mitochondrial metabolism in diet-resistant obesity. EBioMedicine 2022; 83:104192. [PMID: 35965199 PMCID: PMC9482931 DOI: 10.1016/j.ebiom.2022.104192] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 07/05/2022] [Accepted: 07/15/2022] [Indexed: 12/14/2022] Open
Abstract
Background Current paradigms for predicting weight loss in response to energy restriction have general validity but a subset of individuals fail to respond adequately despite documented diet adherence. Patients in the bottom 20% for rate of weight loss following a hypocaloric diet (diet-resistant) have been found to have less type I muscle fibres and lower skeletal muscle mitochondrial function, leading to the hypothesis that physical exercise may be an effective treatment when diet alone is inadequate. In this study, we aimed to assess the efficacy of exercise training on mitochondrial function in women with obesity with a documented history of minimal diet-induced weight loss. Methods From over 5000 patient records, 228 files were reviewed to identify baseline characteristics of weight loss response from women with obesity who were previously classified in the top or bottom 20% quintiles based on rate of weight loss in the first 6 weeks during which a 900 kcal/day meal replacement was consumed. A subset of 20 women with obesity were identified based on diet-resistance (n=10) and diet sensitivity (n=10) to undergo a 6-week supervised, progressive, combined aerobic and resistance exercise intervention. Findings Diet-sensitive women had lower baseline adiposity, higher fasting insulin and triglycerides, and a greater number of ATP-III criteria for metabolic syndrome. Conversely in diet-resistant women, the exercise intervention improved body composition, skeletal muscle mitochondrial content and metabolism, with minimal effects in diet-sensitive women. In-depth analyses of muscle metabolomes revealed distinct group- and intervention- differences, including lower serine-associated sphingolipid synthesis in diet-resistant women following exercise training. Interpretation Exercise preferentially enhances skeletal muscle metabolism and improves body composition in women with a history of minimal diet-induced weight loss. These clinical and metabolic mechanism insights move the field towards better personalised approaches for the treatment of distinct obesity phenotypes. Funding Canadian Institutes of Health Research (CIHR-INMD and FDN-143278; CAN-163902; CIHR PJT-148634).
Collapse
Affiliation(s)
- Chantal A Pileggi
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada; National Research Council of Canada, Digital Technologies Research Centre, Ottawa, Canada
| | - Denis P Blondin
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Breana G Hooks
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada; Centre for Infection, Immunity and Inflammation, Ottawa, Ontario, Canada
| | - Gaganvir Parmar
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada
| | - Irina Alecu
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada
| | - David A Patten
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada
| | - Alexanne Cuillerier
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Conor O'Dwyer
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - A Brianne Thrush
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Morgan D Fullerton
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Centre for Infection, Immunity and Inflammation, Ottawa, Ontario, Canada; Centre for Catalysis Research and Innovation, Ottawa, Ontario, Canada
| | - Steffany Al Bennett
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada; Centre for Catalysis Research and Innovation, Ottawa, Ontario, Canada
| | - Éric Doucet
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - François Haman
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Miroslava Cuperlovic-Culf
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada; National Research Council of Canada, Digital Technologies Research Centre, Ottawa, Canada
| | - Ruth McPherson
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario Canada
| | - Robert R M Dent
- Division of Endocrinology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Mary-Ellen Harper
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada; Centre for Infection, Immunity and Inflammation, Ottawa, Ontario, Canada.
| |
Collapse
|
5
|
Kuhn T, Kaiser K, Lebek S, Altenhofen D, Knebel B, Herwig R, Rasche A, Pelligra A, Görigk S, Khuong JMA, Vogel H, Schürmann A, Blüher M, Chadt A, Al-Hasani H. Comparative genomic analyses of multiple backcross mouse populations suggest SGCG as a novel potential obesity-modifier gene. Hum Mol Genet 2022; 31:4019-4033. [PMID: 35796564 DOI: 10.1093/hmg/ddac150] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 05/10/2022] [Accepted: 07/01/2022] [Indexed: 11/14/2022] Open
Abstract
To nominate novel disease genes for obesity and type 2 diabetes (T2D), we recently generated two mouse backcross populations of the T2D-susceptible New Zealand Obese (NZO/HI) mouse strain and two genetically different, lean and T2D-resistant strains, 129P2/OlaHsd and C3HeB/FeJ. Comparative linkage analysis of our two female backcross populations identified seven novel body fat-associated quantitative trait loci (QTL). Only the locus Nbw14 (NZO body weight on chromosome 14) showed linkage to obesity-related traits in both backcross populations, indicating that the causal gene variant is likely specific for the NZO strain as NZO allele carriers in both crosses displayed elevated body weight and fat mass. To identify candidate genes for Nbw14, we used a combined approach of gene expression and haplotype analysis to filter for NZO-specific gene variants in gonadal white adipose tissue (gWAT), defined as the main QTL-target tissue. Only two genes, Arl11 and Sgcg, fulfilled our candidate criteria. In addition, expression QTL analysis revealed cis-signals for both genes within the Nbw14 locus. Moreover, retroviral overexpression of Sgcg in 3 T3-L1 adipocytes resulted in increased insulin-stimulated glucose uptake. In humans, mRNA levels of SGCG correlated with BMI and body fat mass exclusively in diabetic subjects, suggesting that SGCG may present a novel marker for metabolically unhealthy obesity. In conclusion, our comparative-cross analysis could substantially improve the mapping resolution of the obesity locus Nbw14. Future studies will shine light on the mechanism by which Sgcg may protect from the development of obesity.
Collapse
Affiliation(s)
- Tanja Kuhn
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Katharina Kaiser
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Sandra Lebek
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Delsi Altenhofen
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Birgit Knebel
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Ralf Herwig
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, D-14195, Germany
| | - Axel Rasche
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, D-14195, Germany
| | - Angela Pelligra
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Sarah Görigk
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Jenny Minh-An Khuong
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Heike Vogel
- German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany.,Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, D-14558, Germany
| | - Annette Schürmann
- German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany.,Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, D-14558, Germany
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, D-04103, Germany
| | - Alexandra Chadt
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| | - Hadi Al-Hasani
- Institute for Clinical Biochemistry and Pathobiochemistry, German Diabetes Center (DDZ), Heinrich Heine University, Medical Faculty, Duesseldorf, D-40225, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, D-85764, Germany
| |
Collapse
|
6
|
Chi X, Bielawska B, Nikpay M, Dent R. Does the presence of type 2 diabetes or metabolic syndrome impact reduction in waist circumference during weight loss? Can J Diabetes 2021; 46:233-237. [DOI: 10.1016/j.jcjd.2021.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/11/2021] [Accepted: 09/14/2021] [Indexed: 10/20/2022]
|
7
|
Harper ME, McPherson R, Dent R. Interindividual variability in weight loss in the treatment of obesity. Am J Clin Nutr 2021; 114:824-825. [PMID: 34337661 PMCID: PMC8326033 DOI: 10.1093/ajcn/nqab213] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Affiliation(s)
| | - Ruth McPherson
- Atherogenomics Laboratory, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada (RM)
| | - Robert Dent
- Ottawa Hospital Weight Management Clinic, Division of Endocrinology, Ottawa Hospital, Ottawa, Ontario, Canada (RD)
| |
Collapse
|
8
|
Dent R, McPherson R, Harper ME. Factors affecting weight loss variability in obesity. Metabolism 2020; 113:154388. [PMID: 33035570 DOI: 10.1016/j.metabol.2020.154388] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 09/19/2020] [Accepted: 09/23/2020] [Indexed: 12/25/2022]
Abstract
Current obesity treatment strategies include diet, exercise, bariatric surgery, and a limited but growing repertoire of medications. Individual weight loss in response to each of these strategies is highly variable. Here we review research into factors potentially contributing to inter-individual variability in response to treatments for obesity, with a focus on studies in humans. Well-recognized factors associated with weight loss capacity include diet adherence, physical activity, sex, age, and specific medications. However, following control for each of these, differences in weight loss appear to persist in response to behavioral, pharmacological and surgical interventions. Adaptation to energy deficit involves complex feedback mechanisms, and inter-individual differences likely to arise from a host of poorly defined genetic factors, as well as differential responses in neurohormonal mechanisms (including gastrointestinal peptides), metabolic efficiency and capacity of tissues, non-exercise activity thermogenesis, thermogenic response to food, and in gut microbiome. A better understanding of the factors involved in inter-individual variability in response to therapies will guide more personalized approaches to the treatment of obesity.
Collapse
Affiliation(s)
- Robert Dent
- Department of Medicine, Division of Endocrinology and The Ottawa Hospital, University of Ottawa, 210 Melrose Ave, Ottawa, ON K1Y 4K7, Canada
| | - Ruth McPherson
- Atherogenomics Laboratory, Division of Cardiology, University of Ottawa Heart Institute, 40 Ruskin St., Ottawa, ON K1Y 4W7, Canada
| | - Mary-Ellen Harper
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Rd., Ottawa, ON K1H 8M5, Canada.
| |
Collapse
|