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Tremblay EJ, Peyrel P, Karelis AD, Rabasa-Lhoret R, Tchernof A, Joanisse DR, Mauriège P. Resistance training and cardiometabolic risk in women with metabolically healthy and unhealthy obesity. Appl Physiol Nutr Metab 2024; 49:1068-1082. [PMID: 38648673 DOI: 10.1139/apnm-2023-0279] [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: 04/25/2024]
Abstract
Despite some reported benefits, there is a low quality of evidence for resistance training (RT) improving metabolic health of individuals with overweight or obesity. We evaluated the impact of RT on body composition, cardiorespiratory fitness (CRF) and physical performance, lipid-lipoprotein profile, inflammation, and glucose-insulin homeostasis in 51 postmenopausal women versus 29 controls matched for age, obesity, and physical activity. Exercised women were further subdivided for comparison of RT effects into those presenting metabolically healthy obesity (MHO) and those with metabolically unhealthy obesity (MUHO) classified according to Karelis and Rabasa-Lhoret or an approach based on adipose tissue secretory dysfunction using the plasma adiponectin(A)/leptin (L) ratio. Participants followed a 4-month weekly RT program targeting major muscle groups (3 × 10 repetitions at 80% one repetition maximum (1-RM)). Percent fat marginally decreased and lean body mass increased (0.01 < p < 0.05) while CRF and muscular strength improved in all women, after RT (effect size (ES): 0.11-1.21 (trivial to large effects), p ˂ 0.01). Fasting plasma triacylglycerol and high-density lipoprotein-cholesterol levels slightly increased and decreased, respectively, in participants with MHO using the A/L ratio approach (ES: -0.47 to 1.07 (small to large effects), p ˂ 0.05). Circulating interleukin-6 soluble receptor decreased in both groups and soluble tumor necrosis factor receptor-1/soluble tumor necrosis factor receptor-2 in women with MUHO only, irrespective of definition (ES: -0.42 to -0.84 (small to large effects), p ˂ 0.05). Glucose-insulin homeostasis was unchanged regardless of group or definition. RT improved physical performance and body composition but had a lesser impact on cardiometabolic risk in women with obesity, irrespective of their metabolic phenotype.
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Affiliation(s)
- Eve-Julie Tremblay
- École de nutrition, Université Laval, Québec, QC, Canada
- Centre de recherche de l'institut de cardiologie et pneumologie de Québec (CRIUCPQ), Université Laval, Québec, QC, Canada
| | - Paul Peyrel
- Centre de recherche de l'institut de cardiologie et pneumologie de Québec (CRIUCPQ), Université Laval, Québec, QC, Canada
- Département de kinésiologie, Faculté de médecine, Université Laval, Québec, QC, Canada
| | - Antony D Karelis
- Département des sciences de l'activité physique, Université du Québec à Montréal, Montréal, QC, Canada
| | - Rémi Rabasa-Lhoret
- Département de nutrition, Université de Montréal, Montréal, QC, Canada
- Institut de recherches cliniques de Montréal, Montréal, QC, Canada
| | - André Tchernof
- École de nutrition, Université Laval, Québec, QC, Canada
- Centre de recherche de l'institut de cardiologie et pneumologie de Québec (CRIUCPQ), Université Laval, Québec, QC, Canada
| | - Denis R Joanisse
- Centre de recherche de l'institut de cardiologie et pneumologie de Québec (CRIUCPQ), Université Laval, Québec, QC, Canada
- Département de kinésiologie, Faculté de médecine, Université Laval, Québec, QC, Canada
| | - Pascale Mauriège
- Centre de recherche de l'institut de cardiologie et pneumologie de Québec (CRIUCPQ), Université Laval, Québec, QC, Canada
- Département de kinésiologie, Faculté de médecine, Université Laval, Québec, QC, Canada
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Palatini P, Saladini F, Mos L, Vriz O, Ermolao A, Battista F, Mazzer A, Canevari M, Rattazzi M. Instability of Healthy Overweight and Obesity Phenotypes over the Long Term in Young Participants in the HARVEST Study: Influence of Sex. J Cardiovasc Dev Dis 2024; 11:47. [PMID: 38392261 PMCID: PMC10889525 DOI: 10.3390/jcdd11020047] [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: 01/03/2024] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Whether healthy metabolic status is stable or only temporary is still controversial. The aim of the present study was to determine the frequency of the transition from metabolically healthy to metabolically unhealthy status, or vice versa, over the long term. METHODS We examined 970 individuals of 18 to 45 years of age. The participants' mean age was 33.1 ± 8.6 years and mean BP was 145.5 ± 10.6/93.5 ± 5.7 mmHg. Participants were classified into four groups according to whether they had normal weight or overweight/obesity (OwOb) and were metabolically healthy or unhealthy. After 7.5 years, 24.3% of men and 41.9% of women in the metabolically healthy normal-weight group remained metabolically healthy (p < 0.0001). Among the metabolically healthy OwOb participants, 31.9% remained metabolically healthy, with a similar frequency in men and women. However, more OwOb women (19.1%) than men (5.7%) achieved normal weight (p < 0.0001). Among the metabolically unhealthy OwOb subjects, 81.8% of men and 69.3% of women remained metabolically unhealthy, 7.4% of men and 12.0% of women transitioned to OwOb healthy status, and 10.7% of men and 18.7% of women achieved normal weight (men versus women, p < 0.0001). Predictors of transition to unhealthy status were high BP, high BMI, and smoking. Male sex was a borderline predictor of progression to unhealthy status in OwOb participants (p = 0.073). CONCLUSION These data show that metabolically healthy status is a highly unstable condition in both normal-weight and OwOb individuals. The impairment of metabolic status was more frequent in men than in women. Lifestyle counseling produced beneficial effects in almost one-third of metabolically unhealthy OwOb women and in less than one-fifth of men.
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Affiliation(s)
- Paolo Palatini
- Studium Patavinum and Department of Medicine, University of Padova, 35128 Padova, Italy
| | | | - Lucio Mos
- San Antonio Hospital, 33038 San Daniele del Friuli, Italy
| | - Olga Vriz
- San Antonio Hospital, 33038 San Daniele del Friuli, Italy
| | - Andrea Ermolao
- Studium Patavinum and Department of Medicine, University of Padova, 35128 Padova, Italy
| | - Francesca Battista
- Studium Patavinum and Department of Medicine, University of Padova, 35128 Padova, Italy
| | - Adriano Mazzer
- Vittorio Veneto Town Hospital, 31029 Vittorio Veneto, Italy
| | | | - Marcello Rattazzi
- Studium Patavinum and Department of Medicine, University of Padova, 35128 Padova, Italy
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Zhu R, Huttunen-Lenz M, Stratton G, Handjieva-Darlenska T, Handjiev S, Sundvall J, Silvestre MP, Jalo E, Pietiläinen KH, Adam TC, Drummen M, Simpson EJ, Taylor MA, Poppitt SD, Navas-Carretero S, Martinez JA, Schlicht W, Fogelholm M, Brand-Miller J, Raben A. Associations of obesity phenotypes with weight change, cardiometabolic benefits, and type 2 diabetes incidence during a lifestyle intervention: results from the PREVIEW study. Int J Obes (Lond) 2023; 47:833-840. [PMID: 37420008 DOI: 10.1038/s41366-023-01328-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/15/2023] [Accepted: 06/01/2023] [Indexed: 07/09/2023]
Abstract
BACKGROUND/OBJECTIVES Some individuals with overweight/obesity may be relatively metabolically healthy (MHO) and have a lower risk of cardiovascular disease than those with metabolically unhealthy overweight/obesity (MUO). We aimed to compare changes in body weight and cardiometabolic risk factors and type 2 diabetes incidence during a lifestyle intervention between individuals with MHO vs MUO. METHODS This post-hoc analysis included 1012 participants with MHO and 1153 participants with MUO at baseline in the randomized trial PREVIEW. Participants underwent an eight-week low-energy diet phase followed by a 148-week lifestyle-based weight-maintenance intervention. Adjusted linear mixed models and Cox proportional hazards regression models were used. RESULTS There were no statistically significant differences in weight loss (%) between participants with MHO vs MUO over 156 weeks. At the end of the study, weight loss was 2.7% (95% CI, 1.7%-3.6%) in participants with MHO and 3.0% (2.1%-4.0%) in those with MUO. After the low-energy diet phase, participants with MHO had smaller decreases in triglyceride (mean difference between MHO vs MUO 0.08 mmol·L-1 [95% CI, 0.04-0.12]; P < 0.001) but similar reductions in fasting glucose and HOMA-IR than those with MUO. However, at the end of weight maintenance, those with MHO had greater reductions in triglyceride (mean difference -0.08 mmol·L-1 [-0.12--0.04]; P < 0.001), fasting glucose, 2-hour glucose (difference -0.28 mmol·L-1 [-0.41--0.16]; P < 0.001), and HOMA-IR than those with MUO. Participants with MHO had smaller decreases in diastolic blood pressure and HbA1c and greater decreases in HDL cholesterol after weight loss than those with MUO, whereas the statistically significant differences disappeared at the end of weight maintenance. Participants with MHO had lower 3-year type 2 diabetes incidence than those with MUO (adjusted hazard ratio 0.37 [0.20-0.66]; P < 0.001). CONCLUSIONS Individuals with MUO had greater improvements in some cardiometabolic risk factors during the low-energy diet phase, but had smaller improvements during long-term lifestyle intervention than those with MHO.
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Affiliation(s)
- Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Maija Huttunen-Lenz
- Institute for Nursing Science, University of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany
| | - Gareth Stratton
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UK
| | | | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | - Jouko Sundvall
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Marta P Silvestre
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
- CINTESIS, NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Abdominal Center, Endocrinology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Tanja C Adam
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Mathijs Drummen
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Elizabeth J Simpson
- MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, UK
| | - Moira A Taylor
- MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, UK
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, Nottingham, UK
| | - Sally D Poppitt
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Santiago Navas-Carretero
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Madrid, Spain
- IdisNA Instituto for Health Research, Pamplona, Spain
| | - J Alfredo Martinez
- Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Madrid, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA-Food Institute (Madrid Institute for Advanced Studies), CEI UAM+CSIC, Madrid, Spain
- Department of Nutrition and Physiology, University of Navarra, Pamplona, Spain
| | - Wolfgang Schlicht
- Department of Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Jennie Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, the University of Sydney, Sydney, NSW, Australia
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
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Wei Y, Wang R, Wang J, Han X, Wang F, Zhang Z, Xu Y, Zhang X, Guo H, Yang H, Li X, He M. Transitions in Metabolic Health Status and Obesity Over Time and Risk of Diabetes: The Dongfeng-Tongji Cohort Study. J Clin Endocrinol Metab 2023; 108:2024-2032. [PMID: 36718514 DOI: 10.1210/clinem/dgad047] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/26/2022] [Accepted: 01/24/2023] [Indexed: 02/01/2023]
Abstract
CONTEXT Evidence regarding the association between metabolically healthy overweight or obesity (MHOO) and diabetes is controversial, and mostly ignores the dynamic change of metabolic health status and obesity. OBJECTIVE To explore the association between transitions of metabolic health status and obesity over 5 years and diabetes incidence. METHODS We examined 17 309 participants derived from the Dongfeng-Tongji cohort and followed from 2008 to 2018 (median follow-up 9.9 years). All participants were categorized into 4 phenotypes based on body mass index (BMI) and metabolic health status: metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), MHOO, and metabolically unhealthy overweight or obesity (MUOO). The associations of changes in BMI-metabolic health status (2008-2013) with diabetes incidence (2018) were performed among 12 206 individuals with 2 follow-up examinations. RESULTS Compared with stable MHNW, stable MHOO (hazard ratio [HR] 1.76; 95% CI 1.26, 2.45) and transition from MHOO to metabolically unhealthy phenotypes were associated with higher risk for diabetes (HR 2.97; 95% CI 1.79, 4.93 in MHOO to MUNW group and HR 3.38; 95% CI 2.54, 4.49 in MHOO to MUOO group). Instead, improvements to metabolic healthy phenotypes or weight loss occurring in MUOO reduced the risk of diabetes compared with stable MUOO, changing from MUOO to MHNW, MUNW, and MHOO resulted in HRs of 0.57 (95% CI 0.37, 0.87), 0.68 (95% CI 0.50, 0.93), and 0.45 (95% CI 0.34, 0.60), respectively. CONCLUSION People with MHOO, even stable MHOO, or its transition to metabolically unhealthy phenotypes were at increased risk of diabetes. Metabolic improvements and weight control may reduce the risk of diabetes.
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Affiliation(s)
- Yue Wei
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Ruixin Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Jing Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xu Han
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Fei Wang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Zefang Zhang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yali Xu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Huan Guo
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei 442000, China
| | - Xiulou Li
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei 442000, China
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
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Pang MD, Bastings JJAJ, Op den Kamp-Bruls YMH, Harrold JA, Kjølbaek L, Halford JCG, Adam TCM, Raben A, Schrauwen-Hinderling VB, Goossens GH, Blaak EE. The effect of weight loss on whole-body and tissue-specific insulin sensitivity and hepatic lipid content and composition: SWEET substudy. Obesity (Silver Spring) 2023; 31:1745-1754. [PMID: 37368517 DOI: 10.1002/oby.23773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/22/2023] [Accepted: 03/13/2023] [Indexed: 06/29/2023]
Abstract
OBJECTIVE This study (1) investigated the effect of weight loss on whole-body and tissue-specific insulin sensitivity and on intrahepatic lipid (IHL) content and composition and (2) investigated the association between weight-loss-induced changes in insulin sensitivity and IHL content in individuals with overweight or obesity. METHODS In this secondary analysis of the European SWEET project, 50 adults (age 18-65 years) with overweight or obesity (BMI ≥ 25 kg/m2 ) followed a low-energy diet (LED) for 2 months. At baseline and after the LED, body composition (dual-energy x-ray absorptiometry), IHL content and composition (proton magnetic resonance spectroscopy), whole-body insulin sensitivity (Matsuda index), muscle insulin sensitivity index (MISI), and hepatic insulin resistance index (HIRI) were determined (7-point oral glucose tolerance test). RESULTS The LED reduced body weight (p < 0.001). This was accompanied by increased Matsuda index and reduced HIRI (both p < 0.001) but no change in MISI (p = 0.260). Weight loss decreased IHL content (mean [SEM], 3.9% [0.7%] vs. 1.6% [0.5%], p < 0.001) and the hepatic saturated fatty acid fraction (41.0% [1.5%] vs. 36.6% [1.9%], p = 0.039). The reduced IHL content was associated with an improvement in HIRI (r = 0.402, p = 0.025). CONCLUSIONS Weight loss decreased IHL content and the hepatic saturated fatty acid fraction. The decrease in IHL content was associated with weight-loss-induced improvement in hepatic insulin sensitivity in individuals with overweight or obesity.
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Affiliation(s)
- Michelle D Pang
- Department of Human Biology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Jacco J A J Bastings
- Department of Human Biology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Yvonne M H Op den Kamp-Bruls
- Department of Radiology and Nuclear Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Nutrition and Movement Sciences, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Joanne A Harrold
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Louise Kjølbaek
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
| | - Jason C G Halford
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool, UK
- School of Psychology, University of Leeds, Leeds, UK
| | - Tanja C M Adam
- Department of Nutrition and Movement Sciences, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
- Clinical Research, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Vera B Schrauwen-Hinderling
- Department of Radiology and Nuclear Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Nutrition and Movement Sciences, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Gijs H Goossens
- Department of Human Biology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ellen E Blaak
- Department of Human Biology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
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Mittendorfer B, Kayser BD, Yoshino M, Yoshino J, Watrous JD, Jain M, Eagon JC, Patterson BW, Klein S. Heterogeneity in the effect of marked weight loss on metabolic function in women with obesity. JCI Insight 2023; 8:e169541. [PMID: 37159276 PMCID: PMC10371235 DOI: 10.1172/jci.insight.169541] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/03/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUNDThere is considerable heterogeneity in the effect of weight loss on metabolic function in people with obesity.METHODSWe evaluated muscle and liver insulin sensitivity, body composition, and circulating factors associated with insulin action before and after approximately 20% weight loss in women identified as "Responders" (n = 11) or "Non-responders" (n = 11), defined as the top (>75% increase) and bottom (<5% increase) quartiles of the weight loss-induced increase in glucose disposal rate (GDR) during a hyperinsulinemic-euglycemic clamp procedure, among 43 women with obesity (BMI: 44.1 ± 7.9 kg/m2).RESULTSAt baseline, GDR, which provides an index of muscle insulin sensitivity, and the hepatic insulin sensitivity index were more than 50% lower in Responders than Non-responders, but both increased much more after weight loss in Responders than Non-responders, which eliminated the differences between groups. Weight loss also caused greater decreases in intrahepatic triglyceride content and plasma adiponectin and PAI-1 concentrations in Responders than Non-responders and greater insulin-mediated suppression of plasma free fatty acids, branched-chain amino acids, and C3/C5 acylcarnitines in Non-responders than Responders, so that differences between groups at baseline were no longer present after weight loss. The effect of weight loss on total body fat mass, intra-abdominal adipose tissue volume, adipocyte size, and circulating inflammatory markers were not different between groups.CONCLUSIONThe results from our study demonstrate that the heterogeneity in the effects of marked weight loss on muscle and hepatic insulin sensitivity in people with obesity is determined by baseline insulin action, and reaches a ceiling when "normal" insulin action is achieved.TRIAL REGISTRATIONNCT00981500, NCT01299519, NCT02207777.FUNDINGNIH grants P30 DK056341, P30 DK020579, P30 DK052574, UL1 TR002345, and T32 HL13035, the American Diabetes Association (1-18-ICTS-119), the Longer Life Foundation (2019-011), and the Atkins Philanthropic Trust.
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Affiliation(s)
- Bettina Mittendorfer
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Brandon D. Kayser
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri, USA
- Genentech, South San Francisco, California, USA
| | - Mihoko Yoshino
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jun Yoshino
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Mohit Jain
- Department of Medicine, UCSD, La Jolla, California, USA
| | - J. Christopher Eagon
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bruce W. Patterson
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Samuel Klein
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, Missouri, USA
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
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Kim H, Yoon E, Kim OY, Kim EM. Short-term Effects of Eating Behavior Modification on Metabolic Syndrome-Related Risks in Overweight and Obese Korean Adults. J Obes Metab Syndr 2022; 31:70-80. [PMID: 35296564 PMCID: PMC8987453 DOI: 10.7570/jomes21074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 02/16/2022] [Accepted: 02/18/2022] [Indexed: 11/27/2022] Open
Abstract
Background We investigated whether eating behavior modification improves metabolic syndrome (MetS)-related risks in overweight/obese Korean adults, and identified dietary factors that improve metabolic status. Methods Among 159 volunteers, 71 with a body mass index ≥23 kg/m2 and without other chronic diseases participated in the 8-week intervention, among which 54 participants who completed the intervention were included in the analyses. At baseline, patients were categorized either metabolically healthy obese (MHO; <3 MetS risk factors, n=42) or metabolically unhealthy obese (MUHO; ≥3 MetS risk factors, n=12), and then educated regarding how to choose healthy foods and meals. Results Lipid profiles and anthropometric and glycemic parameters were significantly improved among all participants after the intervention. Changes in waist circumference (P=0.025), and glycemic parameters (glucose, P=0.046, insulin, P=0.005, C-peptide, P=0.041) were positively correlated with changes in calorie intake from snacks. Changes in visceral fat area were negatively correlated with changes in total calorie intake (P=0.046), and positively correlated with those in calorie intake from dietary fats (P=0.039). In addition, changes in insulin (P=0.013) and C-peptide (P=0.008) concentrations were negatively correlated with changes in dietary fiber intake at dinner. After the intervention, 83.3% of initially MUHO participants became MHO and 16.7% of MHO participants became MUHO. Conclusion Eating behavior modification may be an important strategy to improve metabolic factors in overweight/obese people.
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Affiliation(s)
- Hyunyoung Kim
- Department of Food Science and Nutrition, Dong-A University, Busan, Korea
| | - Eunju Yoon
- Department of Food Science and Nutrition, Dong-A University, Busan, Korea.,Department of Health Science, Graduate School, Dong-A University, Busan, Korea.,Center for Food and Bio Innovation, Dong-A University, Busan, Korea.,Center for Silver-targeted Biomaterials, Brain Busan 21 Plus Program, Busan, Korea
| | - Oh Yoen Kim
- Department of Food Science and Nutrition, Dong-A University, Busan, Korea.,Department of Health Science, Graduate School, Dong-A University, Busan, Korea.,Center for Food and Bio Innovation, Dong-A University, Busan, Korea
| | - Eun Mi Kim
- Department of Dietetics, Kangbuk Samsung Hospital, Seoul, Korea
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Soll D, Gawron J, Pletsch-Borba L, Spranger J, Mai K. Long-term impact of the metabolic status on weight loss-induced health benefits. Nutr Metab (Lond) 2022; 19:25. [PMID: 35346256 PMCID: PMC8962471 DOI: 10.1186/s12986-022-00660-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 03/16/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND While short-term effects of weight loss on quality of life and metabolic aspects appear to be different in metabolically healthy (MHO) and metabolically unhealthy obese (MUO), respective long-term data is still missing. Given the high relevance of long-term changes, we aimed to address these in this post-hoc analysis of the MAINTAIN trial. METHODS We analyzed 143 overweight/obese subjects (BMI ≥ 27 kg/m2, age ≥ 18 years) before and after a 3-month weight loss program (≥ 8% weight loss), after a 12-month period of a randomized weight maintenance intervention (n = 121), and after another 6 months without intervention (n = 112). Subjects were retrospectively grouped into MHO and MUO by the presence of metabolic syndrome and secondarily by estimates of insulin sensitivity (HOMA-IR and ISIClamp). Quality of life (QoL), blood pressure, lipids, HOMA-IR, and ISIClamp were assessed and evaluated using mixed model analyses. RESULTS Despite similar short- and long-term weight loss, weight loss-induced improvement of HOMA-IR was more pronounced in MUO than MHO after 3 months (MHO: 2.4[95%-CI: 1.9-2.9] vs. 1.6[1.1-2.1], p = 0.004; MUO: 3.6[3.2-4.0] vs. 2.0[1.6-2.4], p < 0.001; p = 0.03 for inter-group comparison). After 21 months, the beneficial effect was no longer seen in MHO (2.0[1.5-2.6], p = 1.0), while it remained partially preserved in MUO (2.9[2.4-3.3], p = 0.002). QueryShort-term improvements of lipid parameters were similar in both groups. However, long-term improvements of HDL-cholesterol and triglycerides were only seen in MUO (44.4[41.5-47.4] vs. 49.3[46.2, 52.3] mg/dl, p < 0.001; 176.8[158.9-194.8] vs. 138.8[119.4-158.3] mg/dl, p < 0.001, respectively) but not in MHO. Weight loss-induced improvements in the QoL and particularly the physical health status were maintained in MUO until the end of the trial, while benefits disappeared over time in MHO. Group allocation by HOMA-IR and ISIClamp revealed higher benefits for MUO mainly in parameters of the glucose metabolism and QoL. CONCLUSIONS Our data demonstrates stronger and longer-lasting improvements of metabolism and QoL in MUO after weight loss. Trial registration (ClinicalTrials.gov): NCT00850629. Registered 25 February 2009, https://clinicaltrials.gov/ct2/show/NCT00850629 .
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Affiliation(s)
- Dominik Soll
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany
| | - Julia Gawron
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany
| | - Laura Pletsch-Borba
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany
- NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Joachim Spranger
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany
- Charité Center for Cardiovascular Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Knut Mai
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany.
- Charité Center for Cardiovascular Research, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.
- NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany.
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Zoghi G, Shahbazi R, Mahmoodi M, Nejatizadeh A, Kheirandish M. Prevalence of metabolically unhealthy obesity, overweight, and normal weight and the associated risk factors in a southern coastal region, Iran (the PERSIAN cohort study): a cross-sectional study. BMC Public Health 2021; 21:2011. [PMID: 34740348 PMCID: PMC8569952 DOI: 10.1186/s12889-021-12107-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 10/26/2021] [Indexed: 11/10/2022] Open
Abstract
Background Obesity is a substantial risk factor for cardiovascular and metabolic diseases. Epidemiologic studies have shown that some obese and overweight individuals are metabolically healthy. We aimed to determine the prevalence of metabolically unhealthy obesity (MUO), metabolically unhealthy overweight (MUOW), and metabolically unhealthy normal weight (MUNW) in a southern coastal area of Iran, Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study. Methods This population-based study included the participants of BKNCD, as part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN). Metabolic health was defined as not fulfilling the metabolic syndrome (MetS) criteria. Results Among the 3917 participants in this study with the mean age of 48.29 ± 9.39 years, including 1691 (43.2%) males, the age- and sex-standardized prevalence of MUO, MUOW, and MUNW was 13.9, 16.8, and 6.4%, respectively. Binary logistic regression analysis revealed that the adjusted odds of all metabolically unhealthy states were higher in older age groups, except for MUO whose adjusted odds were lower in the 65–70 age group compared to the 55–64 age group. Illiteracy was significantly correlated with MUOW (adjusted OR: 1.43, 95% CI 1.09–1.87, P = 0.010); however, it was not associated with MUO or MUNW. Higher body mass index (BMI) was significantly correlated with MUNW but it was not associated with MUOW or MUO. Higher waist circumference (WC) was also significantly associated with all metabolically unhealthy states. Conclusion The age- and sex-standardized prevalence of MUO, MUOW, and MUNW was 13.9, 16.8, and 6.4%, respectively in the current study. Advanced age and higher WC were significantly correlated with all metabolically unhealthy states, while illiteracy and higher BMI were only associated with MUOW and MUNW, respectively. Metabolic health rather than weight loss should be the focus and objective of public prevention programs.
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Affiliation(s)
- Ghazal Zoghi
- Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Roghayeh Shahbazi
- Cellular and Molecular Medicine Department, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Masoumeh Mahmoodi
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Azim Nejatizadeh
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Masoumeh Kheirandish
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
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Vilela DLS, Fonseca PG, Pinto SL, Bressan J. Influence of dietary patterns on the metabolically healthy obesity phenotype: A systematic review. Nutr Metab Cardiovasc Dis 2021; 31:2779-2791. [PMID: 34340900 DOI: 10.1016/j.numecd.2021.05.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/04/2021] [Accepted: 05/06/2021] [Indexed: 11/26/2022]
Abstract
AIMS In many individuals (35%) obesity is not accompanied by cardiometabolic disorders, a condition referred to as metabolically healthy obesity. Since the effectiveness of dietary interventions for this condition is not well established, this study reviews the influence of dietary patterns on the phenotype of metabolically healthy obesity in adults and elderly. DATA SYNTHESIS The review was carried out following the PRISMA guidelines and registered in the PROSPERO. The search was conducted in the MEDLINE, SCOPUS, Web of Science, Science Direct, LILACS, and SciELO databases. A total of 236 articles were identified, seven of which were selected for synthesis after application of the eligibility criteria. CONCLUSIONS The overall result found out in this synthesis was that the greater adherence to healthy eating patterns was considered a preventive to the transition from metabolically healthy obesity to metabolic unhealthy obese phenotypes, by improving metabolic health, and reducing the risk of cardiovascular disease and mortality from all causes. In contrast, unhealthy eating patterns resulted in increased inflammation and risks of developing noncommunicable diseases. This review indicates that adherence to healthy eating patterns may interfere with metabolic phenotypes of obesity and positively affect metabolically healthy obesity. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration number CRD42020159783.
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Affiliation(s)
- Darlene L S Vilela
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
| | - Pâmela G Fonseca
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
| | - Sônia L Pinto
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil; Department of Nutrition, Universidade Federal de Tocantins, Palmas, Tocantins, Brazil
| | - Josefina Bressan
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
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Korac B, Kalezic A, Pekovic-Vaughan V, Korac A, Jankovic A. Redox changes in obesity, metabolic syndrome, and diabetes. Redox Biol 2021; 42:101887. [PMID: 33579666 PMCID: PMC8113039 DOI: 10.1016/j.redox.2021.101887] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 01/27/2021] [Accepted: 01/29/2021] [Indexed: 12/13/2022] Open
Abstract
"Life is an instantaneous encounter of circulating matter and flowing energy" (Jean Giaja, Serbian physiologist), is one of the most elegant definitions not only of life but the relationship of redox biology and metabolism. Their evolutionary liaison has created inseparable yet dynamic homeostasis in health, which, when disrupted, leads to disease. This interconnection is even more pertinent today, in an era of increasing metabolic diseases of epidemic proportions such as obesity, metabolic syndrome, and diabetes. Despite great advances in understanding the molecular mechanisms of redox and metabolic regulation, we face significant challenges in preventing, diagnosing, and treating metabolic diseases. The etiological association and temporal overlap of these syndromes present significant challenges for the discrimination of appropriate clinical biomarkers for diagnosis, treatment, and outcome prediction. These multifactorial, multiorgan metabolic syndromes with complex etiopathogenic mechanisms are accompanied by disturbed redox equilibrium in target tissues and circulation. Free radicals and reactive species are considered both a causal factor and a consequence of disease status. Thus, determining the subtypes and levels of free radicals and reactive species, oxidatively damaged biomolecules (lipids, proteins, and nucleic acids) and antioxidant defense components as well as redox-sensitive transcription factors and fluxes of redox-dependent metabolic pathways will help define existing and establish novel redox biomarkers for stratifying metabolic diseases. This review aims to discuss diverse redox/metabolic aspects in obesity, metabolic syndrome, and diabetes, with the imperative to help establish a platform for emerging and future redox-metabolic biomarkers research in precision medicine. Future research warrants detailed investigations into the status of redox biomarkers in healthy subjects and patients, including the use of emerging 'omic' profiling technologies (e.g., redox proteomes, lipidomes, metabolomes, and transcriptomes), taking into account the influence of lifestyle (diet, physical activity, sleep, work patterns) as well as circadian ~24h fluctuations in circulatory factors and metabolites.
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Affiliation(s)
- Bato Korac
- Department of Physiology, Institute for Biological Research "Siniša Stanković"- National Institute of Republic of Serbia, University of Belgrade, 11000, Belgrade, Serbia; Center for Electron Microscopy, Faculty of Biology, University of Belgrade, 11000, Belgrade, Serbia.
| | - Andjelika Kalezic
- Department of Physiology, Institute for Biological Research "Siniša Stanković"- National Institute of Republic of Serbia, University of Belgrade, 11000, Belgrade, Serbia
| | - Vanja Pekovic-Vaughan
- Institute of Life Course and Medical Sciences, Faculty of Health and Life Sciences, William Henry Duncan Building, University of Liverpool, L7 8TX, Liverpool, UK
| | - Aleksandra Korac
- Center for Electron Microscopy, Faculty of Biology, University of Belgrade, 11000, Belgrade, Serbia
| | - Aleksandra Jankovic
- Department of Physiology, Institute for Biological Research "Siniša Stanković"- National Institute of Republic of Serbia, University of Belgrade, 11000, Belgrade, Serbia.
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Barzin M, Aryannezhad S, Khalaj A, Mahdavi M, Valizadeh M, Ghareh S, Azizi F, Hosseinpanah F. Effects of bariatric surgery in different obesity phenotypes: Tehran Obesity Treatment Study (TOTS). Obes Surg 2021; 30:461-469. [PMID: 31650407 DOI: 10.1007/s11695-019-04182-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Not all morbid obese patients suffer from metabolic co-morbidities; thus, a sub-group of metabolically healthy morbid obese (MHMO) individuals are identified. However, the role of bariatric surgery is not well understood in this subgroup. METHODS A total of 2244 morbid obese individuals aged 18-65 years undergoing bariatric surgery were selected. Patients were considered MHMO according to the joint interim statement (JIS) definition, as having two or less abnormalities in these five parameters: waist circumference (WC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), systolic or diastolic blood pressure (SBP or DBP), and fasting plasma glucose (FPG). Otherwise, they were considered metabolically unhealthy morbid obese (MUMO). Follow-up data were collected at 6, 12, and 24 months post-surgery. RESULTS Prior to surgery, 36.2% of participants were MHMO and had significantly lower BMI, WC, TG, FPG, SBP, and DBP and higher HDL-C compared to MUMO. Both MHMO and MUMO participants showed a significant decrease in BMI, WC, TG, SBP, DBP, and FPG and increase in HDL-C and the percentage of excess weight loss (%EWL). Two-year post-operative changes (from baseline) of BMI, WC, and %EWL were greater in MHMO subjects and changes of TG, HDL-C, DBP, SBP, and FPG were greater in MUMO subjects. Further multivariate regression analysis for delta (∆) change in these characteristics revealed that only the delta (∆) changes of WC and %EWL were statistically different between the two phenotypes and were greater in MHMO subjects, 2 years after the surgery (- 3.077 cm decrease in WC and + 3.612% higher %EWL compared to MUMO subjects). CONCLUSION Bariatric surgery is an effective method for reduction of metabolic abnormalities and weight loss in both MUMO and MHMO phenotypes. Benefits of this intervention are comparable between patients with these two obesity phenotypes.
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Affiliation(s)
- Maryam Barzin
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shayan Aryannezhad
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Khalaj
- Tehran Obesity Treatment Center, Department of Surgery, Faculty of Medicine, Shahed University, Tehran, Iran
| | - Maryam Mahdavi
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Valizadeh
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sahar Ghareh
- Mashhad Medical Branch, Faculty of Medicine, Islamic Azad University, Mashhad, Islamic Republic of Iran
| | - Feridoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Gómez-Zorita S, Queralt M, Vicente MA, González M, Portillo MP. Metabolically healthy obesity and metabolically obese normal weight: a review. J Physiol Biochem 2021; 77:175-189. [PMID: 33704694 DOI: 10.1007/s13105-020-00781-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 12/23/2020] [Indexed: 02/07/2023]
Abstract
Despite the general relationship between obesity and its co-morbidities, there are both obese individuals who scarcely present the associated pathologies (metabolically healthy obese; MHO) and individuals who present obesity alterations despite having normal weight (metabolically obese normal weight; MONW). It is still difficult to define metabolically MHO and MONW individuals because different classifications have been used in the studies reported. Indeed, different inclusion criteria have been used to discriminate between metabolically healthy and metabolically unhealthy subjects. Due to this and other reasons, such as differences in ethnicity, genetics, and lifestyle of the populations, data concerning the prevalence of MHO and MONW are very variable. The main determinants of MHO are type of growth (hypertrophy or hyperplasia), anatomical location, inflammation of adipose tissue, ectopic fat accumulation, genetic factors, and lifestyles factors. In the case of MONW, the main determinants are genetic background and lifestyle factors. With regard to treatment, it is not clear whether MHO subjects would benefit from traditional lifestyle interventions, based on diet energy restriction and increased physical activity. For MONW subjects, there is still no specialized treatment, and the therapies are the same as those used in obese subjects.
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Affiliation(s)
- Saioa Gómez-Zorita
- Nutrition and Obesity Group. Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria, Spain. .,BIOARABA Health Research Institute, Vitoria, Spain. .,CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Vitoria, Spain.
| | - Maite Queralt
- Nutrition and Obesity Group. Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria, Spain
| | - Maria Angeles Vicente
- BIOARABA Health Research Institute, Vitoria, Spain.,Alava University Hospital (Osakidetza), Vitoria, Spain
| | - Marcela González
- Nutrition and Food Science Department, Faculty of Biochemistry and Biological Sciences, National University of Litoral and National Scientific and Technical Research Council (CONICET), 3000, Santa Fe, Argentina
| | - María P Portillo
- Nutrition and Obesity Group. Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria, Spain.,BIOARABA Health Research Institute, Vitoria, Spain.,CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Vitoria, Spain
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Abstract
Obesity contributes to reduced life expectancy, impaired quality of life, and disabilities, mainly in those individuals who develop cardiovascular diseases, type 2 diabetes, osteoarthritis, and cancer. However, there is a large variation in the individual risk to developing obesity-associated comorbid diseases that cannot simply be explained by the extent of adiposity. Observations that a proportion of individuals with obesity have a significantly lower risk for cardiometabolic abnormalities led to the concept of metabolically healthy obesity (MHO). Although there is no clear definition, normal glucose and lipid metabolism parameters-in addition to the absence of hypertension-usually serve as criteria to diagnose MHO. Biological mechanisms underlying MHO lower amounts of ectopic fat (visceral and liver), and higher leg fat deposition, expandability of subcutaneous adipose tissue, preserved insulin sensitivity, and beta-cell function as well as better cardiorespiratory fitness compared to unhealthy obesity. Whereas the absence of metabolic abnormalities may reduce the risk of type 2 diabetes and cardiovascular diseases in metabolically healthy individuals compared to unhealthy individuals with obesity, it is still higher in comparison with healthy lean individuals. In addition, MHO seems to be a transient phenotype further justifying therapeutic weight loss attempts-even in this subgroup-which might not benefit from reducing body weight to the same extent as patients with unhealthy obesity. Metabolically healthy obesity represents a model to study mechanisms linking obesity to cardiometabolic complications. Metabolically healthy obesity should not be considered a safe condition, which does not require obesity treatment, but may guide decision-making for a personalized and risk-stratified obesity treatment.
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Affiliation(s)
- Matthias Blüher
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig, Leipzig, Germany and Helmholtz Institute for Metabolic, Obesity and Vascular Research, Helmholtz Zentrum München, University Hospital Leipzig, Leipzig, Germany
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16
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Chait A, den Hartigh LJ. Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease. Front Cardiovasc Med 2020; 7:22. [PMID: 32158768 PMCID: PMC7052117 DOI: 10.3389/fcvm.2020.00022] [Citation(s) in RCA: 707] [Impact Index Per Article: 141.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 02/10/2020] [Indexed: 12/13/2022] Open
Abstract
Adipose tissue plays essential roles in maintaining lipid and glucose homeostasis. To date several types of adipose tissue have been identified, namely white, brown, and beige, that reside in various specific anatomical locations throughout the body. The cellular composition, secretome, and location of these adipose depots define their function in health and metabolic disease. In obesity, adipose tissue becomes dysfunctional, promoting a pro-inflammatory, hyperlipidemic and insulin resistant environment that contributes to type 2 diabetes mellitus (T2DM). Concurrently, similar features that result from adipose tissue dysfunction also promote cardiovascular disease (CVD) by mechanisms that can be augmented by T2DM. The mechanisms by which dysfunctional adipose tissue simultaneously promote T2DM and CVD, focusing on adipose tissue depot-specific adipokines, inflammatory profiles, and metabolism, will be the focus of this review. The impact that various T2DM and CVD treatment strategies have on adipose tissue function and body weight also will be discussed.
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Affiliation(s)
- Alan Chait
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Laura J den Hartigh
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, Seattle, WA, United States
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17
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Karczewska-Kupczewska M, Nikołajuk A, Majewski R, Filarski R, Stefanowicz M, Matulewicz N, Strączkowski M. Changes in adipose tissue lipolysis gene expression and insulin sensitivity after weight loss. Endocr Connect 2020; 9:90-100. [PMID: 31905163 PMCID: PMC6993275 DOI: 10.1530/ec-19-0507] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 12/22/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Insulin resistance is a major pathophysiological link between obesity and its metabolic complications. Weight loss (WL) is an effective tool to prevent obesity-related diseases; however, the mechanisms of an improvement in insulin sensitivity (IS) after weight-reducing interventions are not completely understood. The aim of the present study was to analyze the relationships between IS and adipose tissue (AT) expression of the genes involved in the regulation of lipolysis in obese subjects after WL. METHODS Fifty-two obese subjects underwent weight-reducing dietary intervention program. The control group comprised 20 normal-weight subjects, examined at baseline only. Hyperinsulinemic-euglycemic clamp and s.c. AT biopsy with subsequent gene expression analysis were performed before and after the program. RESULTS AT expression of genes encoding lipases (PNPLA2, LIPE and MGLL) and lipid-droplet proteins enhancing (ABHD5) and inhibiting lipolysis (PLIN1 and CIDEA) were decreased in obese individuals in comparison with normal-weight individuals. The group of 38 obese participants completed dietary intervention program and clamp studies, which resulted in a significant WL and an improvement in mean IS. However, in nine subjects from this group IS did not improve in response to WL. AT expression of PNPLA2, LIPE and PLIN1 increased only in the group without IS improvement. CONCLUSIONS Excessive lipolysis may prevent an improvement in IS during WL. The change in AT PNPLA2 and LIPE expression was a negative predictor of the change in IS after WL.
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Affiliation(s)
- Monika Karczewska-Kupczewska
- Department of Internal Medicine and Metabolic Diseases, Medical University of Białystok, Białystok, Poland
- Correspondence should be addressed to M Karczewska-Kupczewska:
| | - Agnieszka Nikołajuk
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
| | - Radosław Majewski
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
| | - Remigiusz Filarski
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
| | - Magdalena Stefanowicz
- Department of Metabolic Diseases, Medical University of Białystok, Białystok, Poland
| | - Natalia Matulewicz
- Department of Metabolic Diseases, Medical University of Białystok, Białystok, Poland
| | - Marek Strączkowski
- Department of Prophylaxis of Metabolic Diseases, Institute of Animal Reproduction and Food Research Polish Academy of Sciences, Olsztyn, Poland
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Manzoni G, Oltolini A, Perra S, Muraca E, Ciardullo S, Pizzi M, Castoldi G, Lattuada G, Pizzi P, Perseghin G. Resting Whole Body Energy Metabolism in Class 3 Obesity; from Preserved Insulin Sensitivity to Overt Type 2 Diabetes. Diabetes Metab Syndr Obes 2020; 13:489-497. [PMID: 32158244 PMCID: PMC7047991 DOI: 10.2147/dmso.s228229] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 01/22/2020] [Indexed: 01/07/2023] Open
Abstract
CONTEXT Insulin resistance and diabetes may influence separately or in combination whole body energy metabolism. OBJECTIVE To assess the impact of insulin resistance and/or overt type 2 diabetes on resting energy expenditure (REE) in class 3 obese individuals. DESIGN AND SETTING Retrospective, cross-sectional analysis of a set of data about individuals attending the outpatients service of a single center of bariatric surgery between January 2015 and December 2017. PATIENTS We screened 382 patients in which abnormal thyroid function was excluded, and segregated them in three groups of subjects: patients with type 2 diabetes (T2DM; n=70), non-diabetic insulin-resistant patients with HOMA-IR ≥ 3 (n=236), non-diabetic insulin-sensitive patients with HOMA-IR < 3 (n=75). MAIN OUTCOME MEASURE Resting energy expenditure (REE), body composition and insulin resistance assessed using indirect calorimetry, bioimpedance and HOMA-IR. RESULTS Non-diabetic insulin-sensitive patients resulted to be younger, with lower BMI and higher prevalence of female subjects; meanwhile, non-diabetic but insulin-resistant patients and T2DM patients were not different in terms of anthropometric parameters. REE was higher in T2DM than in non-diabetic insulin-resistant and insulin-sensitive individuals when expressed as percent of the predicted REE (based on Harris Benedict equation) (p<0.0001) or when adjusted for kg of free fat mass (p<0.0001) and was found to be higher also in insulin-resistant vs insulin-sensitive patients (p<0.001). The respiratory quotient was different between groups (0.87±0.11, 0.86±0.12 and 0.91±0.14 in T2DM, insulin-resistant and insulin-sensitive patients, respectively; p<0.03). Regression analysis confirmed that HOMA-IR was independently associated with the REE (R2=0.110, p<0.001). CONCLUSION Class 3 obese patients with normal insulin sensitivity are characterized by reduced fasting REE in comparison to insulin-resistant obese patients and obese patients with short duration of diabetes supporting the hypothesis that down-regulation of nutrients' oxidative disposal may represent an adaptation of energy metabolism in obese individuals with preserved insulin sensitivity.
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Affiliation(s)
- Giuseppina Manzoni
- Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
| | - Alice Oltolini
- Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
| | - Silvia Perra
- Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
| | - Emanuele Muraca
- Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
| | - Stefano Ciardullo
- Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
- Department of Medicine and Surgery, Università Degli Studi di Milano Bicocca, Monza, Italy
| | - Mattia Pizzi
- Centre for Obesity Research, Policlinico di Monza, Monza, Italy
| | - Giovanna Castoldi
- Department of Medicine and Surgery, Università Degli Studi di Milano Bicocca, Monza, Italy
| | - Guido Lattuada
- Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
| | - Pietro Pizzi
- Centre for Obesity Research, Policlinico di Monza, Monza, Italy
| | - Gianluca Perseghin
- Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy
- Department of Medicine and Surgery, Università Degli Studi di Milano Bicocca, Monza, Italy
- Correspondence: Gianluca Perseghin Department of Medicine and Rehabilitation, Policlinico di Monza, Via Modigliani 10, Monza, MB20900, ItalyTel +39 039 281 0430 Email
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Magkos F. Metabolically healthy obesity: what's in a name? Am J Clin Nutr 2019; 110:533-539. [PMID: 31240297 DOI: 10.1093/ajcn/nqz133] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/06/2019] [Indexed: 02/07/2023] Open
Abstract
Metabolically healthy obesity refers to an obesity phenotype with no or little evidence of metabolic dysfunction. Lower liver fat content and visceral adipose tissue, greater insulin sensitivity and secretion, greater cardiorespiratory fitness, and a predominantly lower body (i.e., leg) fat deposition are key physiological traits of a metabolically healthy phenotype. About 35% of all subjects with obesity are metabolically healthy. These individuals have approximately half the risk of developing type 2 diabetes and cardiovascular disease compared with metabolically unhealthy subjects with obesity, but they still have a significantly greater risk (by 50-300%) compared with metabolically healthy lean subjects. Therefore, absence of metabolic risk factors in people with obesity should not be a contraindication for weight-loss treatment. Metabolically healthy obesity needs to be treated, and this need is reinforced by the fact that this phenotype is not stable over time, as ∼50% of these subjects will cease being metabolically healthy within ∼10 y. Intervening early is therefore important. Weight loss dose-dependently decreases visceral adipose tissue and liver fat content, and it improves multiorgan insulin sensitivity and β-cell function (i.e., it beneficially affects many of the physiological traits of a metabolically healthy phenotype); however, weight loss is very difficult to maintain. This typically results in disappointment among patients and hinders adherence, which is likely critical for the limited success of most weight-loss treatments in the long term. On the other hand, using ≥1 metabolic health targets in a non-weight-loss-centered treatment paradigm that includes prudent dietary changes and increased physical activity can serve as an appropriate first goal that can help motivate patients toward the long-term goals of obesity treatment.
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Affiliation(s)
- Faidon Magkos
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
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20
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Haghighatdoost F, Amini M, Aminorroaya A, Abyar M, Feizi A. Different metabolic/obesity phenotypes are differentially associated with development of prediabetes in adults: Results from a 14-year cohort study. World J Diabetes 2019; 10:350-361. [PMID: 31231458 PMCID: PMC6571483 DOI: 10.4239/wjd.v10.i6.350] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Revised: 05/10/2019] [Accepted: 05/14/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The risk of developing prediabetes based on the metabolic/obesity phenotypes has been poorly investigated.
AIM To examine the association of baseline metabolic/obesity phenotypes and their changes over time with the risk of prediabetes development.
METHODS In a population-based cohort study, 1741 adults (aged > 19 years) with normal blood glucose were followed for 14 years. Anthropometric and biochemical measures were evaluated regularly during the follow-up period. According to body mass index and metabolic health status, participants were categorized into four groups: Metabolically healthy normal weight (MHNW), metabolically healthy obese (MHO), metabolically unhealthy normal weight (MUNW) and metabolically unhealthy obese (MUO). Multivariable Cox regression analysis was used to measure the risk of prediabetes according to the baseline metabolic/obesity phenotype and their changes during the follow-up.
RESULTS In the whole population with a mean (95CCI for mean) follow up duration of 12.7 years (12.6-12.9), all three MUNW, MHO, MUO groups were at higher risk for developing prediabetes compared to the MHNW group (P = 0.022). The MUNW group had the highest risk for developing prediabetes (hazard ratio (HR): 3.84, 95%CI: 1.20, 12.27). In stratified analysis by sex, no significant association was found in men, while women in the MUNW group were at the greatest risk for prediabetes (HR: 6.74, 95%CI: 1.53, 29.66). Transforming from each phenotype to MHNW or MHO was not related to the risk of prediabetes development, whereas transforming from each phenotype to MUO was associated with an increased risk of prediabetes (HR > 1; P < 0.05).
CONCLUSION Our findings indicate that MHO is not a high risk, unless it transforms into MUO over time. However, people in the MUNW group have the greatest risk for developing prediabetes, and therefore, they should be screened and treated.
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Affiliation(s)
- Fahimeh Haghighatdoost
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Masoud Amini
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Ashraf Aminorroaya
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Majid Abyar
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Awat Feizi
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
- Biostatistics and Epidemiology Department, School of Health, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
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21
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Abstract
Obesity poses significant public health concerns, including Type 2 diabetes mellitus, cardiovascular disease and stroke. Although deleterious metabolic profiles typically accompany individuals with obesity, various epidemiological studies have identified a subset of patients with a favourable metabolic phenotype referred to as the metabolically healthy obese. Metabolically healthy obesity is a novel concept that stratifies obese individuals according to their respective metabolic status. It has important implications for healthcare policies, particularly the efficient allocation of resources in the targeted treatment of obesity and prevention of metabolic ill-health. However, conflicting evidence in the literature regarding its risk profile questions its clinical relevance. In addition, the lack of a unified definition of metabolically healthy obesity and agreement on its progression further impede its utility as a stratification strategy. This review aims to describe current concepts of metabolically healthy obesity within the literature, evidence of this metabolic phenotype, the clinical implications of patient stratification and limitations of the concept.
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Affiliation(s)
- S Beh
- Institute of Cardiovascular Science, University College London, London, UK
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22
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Konieczna J, Yañez A, Moñino M, Babio N, Toledo E, Martínez-González MA, Sorlí JV, Salas-Salvadó J, Estruch R, Ros E, Alonso-Gómez A, Schröder H, Lapetra J, Serra-Majem L, Pintó X, Gutiérrez-Bedmar M, Díaz-López A, González JI, Fitó M, Forga L, Fiol M, Romaguera D. Longitudinal changes in Mediterranean diet and transition between different obesity phenotypes. Clin Nutr 2019; 39:966-975. [PMID: 31053509 DOI: 10.1016/j.clnu.2019.04.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 03/19/2019] [Accepted: 04/03/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND & AIMS Little is known about the impact of specific dietary patterns on the development of obesity phenotypes. We aimed to determine the association of longitudinal changes in adherence to the traditional Mediterranean diet (MedDiet) with the transition between different obesity phenotypes. METHODS Data of 5801 older men and women at high cardiovascular risk from PREDIMED trial were used. Adherence to MedDiet was measured with the validated 14p-Mediterranean Diet Adherence Screener (MEDAS). Using the simultaneous combination of metabolic health- and body size-related parameters participants were categorized into one of four phenotypes: metabolically healthy and abnormal obese (MHO and MAO), metabolically healthy and abnormal non-obese (MHNO and MANO). Cox regression models with yearly repeated measures during 5-year of follow-up were built with use of Markov chain assumption. RESULTS Each 2-point increase in MEDAS was associated with the following transitions: in MAO participants, with a 16% (95% CI 3-31%) greater likelihood of becoming MHO; in MHO participants with a 14% (3-23%) lower risk of becoming MAO; in MHNO participants with a 18% (5-30%) lower risk of becoming MHO. In MANO women, but not in men, MEDAS was associated with 20% (5-38%) greater likely of becoming MHNO (p for interaction by gender 0.014). No other significant associations were observed. CONCLUSIONS Better adherence to the traditional MedDiet is associated with transitions to healthier phenotypes, promoting metabolic health improvement in MAO, MANO (only in women), and MHO, as well as protecting against obesity incidence in MHNO subjects.
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Affiliation(s)
- J Konieczna
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - A Yañez
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain; Department of Nursing and Physiotheraphy, University of the Balearic Islands, Palma de Mallorca, Spain
| | - M Moñino
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - N Babio
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Rovira i Virgili University Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - E Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; University of Navarra-Navarra Institute for Health Research, Department of Preventive Medicine and Public Health, Pamplona, Spain
| | - M A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; University of Navarra-Navarra Institute for Health Research, Department of Preventive Medicine and Public Health, Pamplona, Spain; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
| | - J V Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - J Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Rovira i Virgili University Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - R Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, August Pi i Sunyer Institute of Biomedical Research (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - E Ros
- Lipid Clinics. Department of Endocrinology, August Pi i Sunyer Institute of Biomedical Research (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - A Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Cardiology, University Hospital Araba, Vitoria, Spain
| | - H Schröder
- Cardiovascular Risk and Nutrition Research Group (CARIN), Institut Hospital del Mar d' Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - J Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Familiy Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Ll Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Service of Preventive Medicine, Complejo Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canary Health Service, Las Palmas de Gran Canaria, Spain
| | - X Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Internal Medicine, Bellvitge Hospital, Barcelona, Spain
| | - M Gutiérrez-Bedmar
- Department of Preventive Medicine and Public Health, University of Malaga, Malaga, Spain
| | - A Díaz-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Rovira i Virgili University Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - J I González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - M Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group (CARIN), Institut Hospital del Mar d' Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain
| | - L Forga
- Servicio de Endocrinología y Nutrición, Complejo Hospitalario de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - M Fiol
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - D Romaguera
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
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Metabolically healthy and unhealthy weight statuses, health issues and related costs: Findings from the 2013–2015 European Health Examination Survey in Luxembourg. DIABETES & METABOLISM 2019; 45:140-151. [DOI: 10.1016/j.diabet.2017.11.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Revised: 11/16/2017] [Accepted: 11/21/2017] [Indexed: 12/24/2022]
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Ghachem A, Bagna M, Payette H, Gaudreau P, Brochu M, Dionne IJ. Profiling obesity phenotypes and trajectories in older adults of the Quebec NuAge cohort on nutrition and successful aging: A cluster analysis. Clin Obes 2019; 9:e12295. [PMID: 30695177 DOI: 10.1111/cob.12295] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 12/17/2018] [Accepted: 12/23/2018] [Indexed: 12/26/2022]
Abstract
Obesity in older adults results from several interacting factors. Consequently, interventions have shown mitigated effects. We determined (a) the different subgroups of older adults with obesity based on clusters of associated comorbidities and (b) the trajectory of these clusters to assess their stability over 3 years and factors contributing to transitions. Obese men (n = 193; body mass index [BMI] = 33.15 ± 2.69 kg/m2 ) and women (n = 220; BMI = 33.71 ± 3.71 kg/m2 ) aged between 68 and 82 years were studied. Outcome variables were body composition, strength, physical capacity (PC), nutrition, psychological and physical health and social participation. Cluster analyses, stratified by sex, were used to identify obesity profiles at baseline and follow-up. Three profiles were identified, based on general health (GH), psychological health (PH) and PC: Cluster 1: healthy obese (GH+, PH+, PC+); Cluster 2: obese with low PC (GH+/-, PH+/-, PC-); Cluster 3: unhealthy obese (GH-, PH-, PC-). After 3 years, 61.2% and 70.2% of men and women remained in their initial cluster, compared to 20.4% and 13.7% who transitioned towards a worse health cluster and 18.3% and 16.0% who transitioned towards a more favourable cluster, partly explained by changes in physical health for men and physical health and PH for women. The results of this study show that targeting physical function in men and physical health and PH functions in women could prevent further health decline in older adults with obesity. Further studies are needed to investigate the role of these clusters in the prediction of cardiometabolic complications and mortality.
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Affiliation(s)
- Ahmed Ghachem
- Faculty of Physical Activity Sciences, University of Sherbrooke, Sherbrooke, Canada
- Research Centre on Aging, Social Services and Health Centre-University Institute of Geriatrics of Sherbrooke, Sherbrooke, Canada
| | - Maimouna Bagna
- Research Centre on Aging, Social Services and Health Centre-University Institute of Geriatrics of Sherbrooke, Sherbrooke, Canada
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - Hélène Payette
- Research Centre on Aging, Social Services and Health Centre-University Institute of Geriatrics of Sherbrooke, Sherbrooke, Canada
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - Pierrette Gaudreau
- Centre Hospitalier de l'Université de Montréal Research Center, Montreal, Canada
- Department of Medicine, University of Montreal, Montreal, Canada
| | - Martin Brochu
- Faculty of Physical Activity Sciences, University of Sherbrooke, Sherbrooke, Canada
- Research Centre on Aging, Social Services and Health Centre-University Institute of Geriatrics of Sherbrooke, Sherbrooke, Canada
| | - Isabelle J Dionne
- Faculty of Physical Activity Sciences, University of Sherbrooke, Sherbrooke, Canada
- Research Centre on Aging, Social Services and Health Centre-University Institute of Geriatrics of Sherbrooke, Sherbrooke, Canada
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Iacobini C, Pugliese G, Blasetti Fantauzzi C, Federici M, Menini S. Metabolically healthy versus metabolically unhealthy obesity. Metabolism 2019; 92:51-60. [PMID: 30458177 DOI: 10.1016/j.metabol.2018.11.009] [Citation(s) in RCA: 255] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Revised: 11/10/2018] [Accepted: 11/15/2018] [Indexed: 12/22/2022]
Abstract
Obesity-related disease complications reduce life quality and expectancy and increase health-care costs. Some studies have suggested that obesity not always entails metabolic abnormalities and increased risk of cardiometabolic complications. Because of the lack of universally accepted criteria to identify metabolically healthy obesity (MHO), its prevalence varies widely among studies. Moreover, the prognostic value of MHO is hotly debated, mainly because it likely shifts gradually towards metabolically unhealthy obesity (MUO). In this review, we outline the differential factors contributing to the metabolic heterogeneity of obesity by discussing the behavioral, genetic, phenotypical, and biological aspects associated with each of the two metabolic phenotypes (MHO and MUO) of obesity and their clinical implications. Particular emphasis will be laid on the role of adipose tissue biology and function, including genetic determinants of body fat distribution, depot-specific fat metabolism, adipose tissue plasticity and, particularly, adipogenesis. Finally, the emerging role of gut microbiota in obesity and adipose tissue dysfunction as well as the search for novel biomarkers for the obesity-related metabolic traits and associated diseases will be briefly presented. A better understanding of the main determinants of a healthy metabolic status in obesity would allow promotion of this favorable condition by targeting the relevant pathways.
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Affiliation(s)
- Carla Iacobini
- Department of Clinical and Molecular Medicine, "La Sapienza" University, Rome, Italy
| | - Giuseppe Pugliese
- Department of Clinical and Molecular Medicine, "La Sapienza" University, Rome, Italy
| | | | - Massimo Federici
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Stefano Menini
- Department of Clinical and Molecular Medicine, "La Sapienza" University, Rome, Italy.
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Wrzosek M, Wiśniewska K, Sawicka A, Tałałaj M, Nowicka G. Early Onset of Obesity and Adult Onset of Obesity as Factors Affecting Patient Characteristics Prior to Bariatric Surgery. Obes Surg 2018; 28:3902-3909. [PMID: 30022421 PMCID: PMC6223752 DOI: 10.1007/s11695-018-3381-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Patients who are slated for bariatric surgery vary in terms of their age at onset of obesity, duration of obesity, and their health complications. Therefore, we aimed to explore a relationship between the age at onset of obesity, metabolic parameters, and health problems in bariatric surgery candidates. METHODS A total of 469 unrelated adults with obesity prior to bariatric surgery were included in this study. The study group consisted of 246 individuals who became obese < 20 years of age, and 223 individuals who became obese ≥ 20 years. Clinical, biochemical, anthropometric assessments, and DXA-derived measures were taken. RESULTS Patients with early onset of obesity had a higher total body fat mass, and higher body fat percentage, and a 1.84 times higher risk of BMI above 40 kg/m2 than patients with adult onset of obesity (≥ 20 years). Multivariable logistic regression demonstrated that, among bariatric surgery candidates with early onset of obesity, the frequency of hypertension and type 2 diabetes was significantly lower than that in cases with an adult onset of obesity, despite a longer duration of obesity and higher BMI. CONCLUSIONS The age at which an individual reaches obesity has a significant impact on patient characteristics on the day he or she is evaluated for bariatric surgery. A younger age at obesity onset is a predicting factor for a higher BMI in patients, but they are less likely to clinically manifest well-established consequences of obesity, such as diabetes or hypertension, compared to patients with adult onset of obesity.
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Affiliation(s)
- Małgorzata Wrzosek
- Department of Biochemistry and Pharmacogenomics, and Center for Preclinical Studies, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland
| | - Klaudia Wiśniewska
- Farmakon (students’ scientific group) at Department of Biochemistry and Pharmacogenomics, Medical University of Warsaw, Warsaw, Poland
- Centre of Promotion of Healthy Nutrition and Physical Activity, Institute of Food and Nutrition, Warsaw, Poland
| | - Ada Sawicka
- Department of Geriatrics, Internal Medicine and Metabolic Bone Diseases, Medical Centre of Postgraduate Education, Prof. W. Orlowski Hospital in Warsaw, Warsaw, Poland
| | - Marek Tałałaj
- Department of Geriatrics, Internal Medicine and Metabolic Bone Diseases, Medical Centre of Postgraduate Education, Prof. W. Orlowski Hospital in Warsaw, Warsaw, Poland
| | - Grażyna Nowicka
- Department of Biochemistry and Pharmacogenomics, and Center for Preclinical Studies, Medical University of Warsaw, Banacha 1, 02-097 Warsaw, Poland
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27
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Damanhoury S, Newton AS, Rashid M, Hartling L, Byrne JLS, Ball GDC. Defining metabolically healthy obesity in children: a scoping review. Obes Rev 2018; 19:1476-1491. [PMID: 30156016 DOI: 10.1111/obr.12721] [Citation(s) in RCA: 86] [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: 02/08/2018] [Revised: 05/17/2018] [Accepted: 05/18/2018] [Indexed: 01/01/2023]
Abstract
We conducted a scoping review to identify definitions of metabolically healthy obesity (MHO), describe gaps in the literature, and establish a universal definition of MHO in children. We searched electronic databases from January 1980 to June 2017 and grey literature. Experimental, quasi-experimental, or observational studies were eligible for inclusion if they (i) included a definition of MHO that identified risk factors, cut-off values, and the number of criteria used to define MHO, and (ii) classified 2-18 year olds as overweight or obese. Two reviewers independently screened 1,711 papers for relevance and quality; we extracted data from 39 individual reports that met inclusion criteria. Most (31/39; 79%) definitions of MHO included an absence of cardiometabolic risk factors. Heterogeneity across MHO definitions, obesity criteria, and sample sizes/characteristics resulted in variable prevalence estimates (3-80%). Finally, we convened an international panel of 46 experts to complete a 4-round Delphi process to generate a consensus-based definition of MHO. Based on consensus (≥ 80% agreement), our definition of MHO included: high density lipoprotein-cholesterol > 40 mg/dl (or > 1.03 mmol/l), triglycerides ≤ 150 mg/dl (or ≤ 1.7 mmol/l), systolic and diastolic blood pressure ≤ 90th percentile, and a measure of glycemia. This definition of MHO holds potential universal value to enable comparisons between studies and inform clinical decision-making for children with obesity.
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Affiliation(s)
- S Damanhoury
- Department of Agricultural, Food, and Nutritional Science, Faculty of Agricultural, Life, and Environmental Sciences, University of Alberta, Edmonton, AB, Canada
| | - A S Newton
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - M Rashid
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - L Hartling
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - J L S Byrne
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - G D C Ball
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
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Xie J, Zhang S, Yu X, Yang Y, Liu Z, Yuan G, Hu S. Association between Liver Enzymes with Metabolically Unhealthy Obese Phenotype. Lipids Health Dis 2018; 17:198. [PMID: 30134916 PMCID: PMC6106819 DOI: 10.1186/s12944-018-0847-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 08/10/2018] [Indexed: 01/07/2023] Open
Abstract
Background Obesity could be classified into two phenotypes: metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). This study investigated the ability of liver enzymes to identify obesity phenotype. Methods We conducted a cross-sectional study in 2197 obese adults (age > 40 years and BMI ≥25 kg/m2) in a rural area of central China. Results In this population, 75% of the participants have more than one cardiometabolic risk factor. Both GGT and ALT were strongly related to the MUHO phenotype. The association between the fourth quartile of GGT and MUHO risk was strong and independent of confounder risk factors in both genders (adjusted ORs, 1.73 (95%CI 1.03–2.92) for male and 1.82 (95%CI 1.29–2.57) for female). The association between the fourth quartile of ALT and MUHO risk was strong and independent in female, but not in male (adjusted ORs, 1.65 (95%CI 0.86–3.19) for male and 1.88 (95%CI 1.29–2.75) for female). Additionally, AST was not associated with MUHO phenotype. Conclusions Both GGT and ALT are effective markers for identifying MUHO in this population. Furthermore, the ability of GGT may be superior to ALT in male.
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Affiliation(s)
- Junhui Xie
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430030, Hubei Province, China
| | - Shujun Zhang
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430030, Hubei Province, China
| | - Xuefeng Yu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430030, Hubei Province, China.
| | - Yan Yang
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430030, Hubei Province, China
| | - Zhelong Liu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430030, Hubei Province, China
| | - Gang Yuan
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430030, Hubei Province, China
| | - Shuhong Hu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Road, Wuhan, 430030, Hubei Province, China
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Effectiveness of vitamin D therapy in improving metabolomic biomarkers in obesity phenotypes: Two randomized clinical trials. Int J Obes (Lond) 2018; 42:1782-1796. [PMID: 29892041 DOI: 10.1038/s41366-018-0107-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 02/28/2018] [Accepted: 04/04/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Uncertainty remains about the effect of vitamin D therapy on biomarkers of health status in obesity. The molecular basis underlying this controversy is largely unknown. OBJECTIVE To address the existing gap, our study sought to compare changes in metabolomic profiles of obesity phenotypes (metabolically healthy obese (MHO) and metabolically unhealthy obese (MUHO)) patients with sub-optimal levels of vitamin D following vitamin D supplementation. METHODS We conducted two randomized double-blind clinical trials on participants with either of the two obesity phenotypes from Tehran province. These phenotypes were determined by the Adult Treatment Panel-III criteria. Patients in each of the MHO (n = 110) and MUHO (n = 105) groups were separately assigned to receive either vitamin D (4000 IU/d) or placebo for 4 months. Pre- and post-supplementation plasma metabolomic profiling were performed using Liquid chromatography coupled to a triple quadrupole mass spectrometry. Multivariable linear regression was used to explore the association of change in each metabolite with the trial assignment (vitamin D/placebo) across obesity phenotypes. RESULTS Metabolites (n = 104) were profiled in 82 MHO and 78 MUHO patients. After correction for multiple comparisons, acyl-lysophosphatidylcholines C16:0, C18:0, and C18:1, diacyl-phosphatidylcholines C32:0, C34:1, C38:3, and C38:4, and sphingomyelin C40:4 changed significantly in response to vitamin D supplementation only in MUHO phenotype. The interaction analysis revealed that vitamin D therapy was different between the two obesity phenotypes based on acyl-lysophosphatidylcholines C16:0 and C16:1 and citrulline which were altered significantly after supplementation. Changes in metabolites were associated with changes in cardiometabolic biomarkers after the intervention. CONCLUSIONS Vitamin D treatment influenced the obesity-related plasma metabolites only in adults with obesity and metabolically unhealthy phenotype. Therefore, not all patients with obesity may benefit from an identical strategy for vitamin D therapy. These findings provide mechanistic basis highlighting the potential of precision medicine to mitigate diseases in health-care settings.
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Effects of a 6-month caloric restriction induced-weight loss program in obese postmenopausal women with and without the metabolic syndrome: a MONET study. Menopause 2018; 24:908-915. [PMID: 28399005 DOI: 10.1097/gme.0000000000000862] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To compare the effects of a caloric restriction (CR) on body composition, lipid profile, and glucose homeostasis in obese postmenopausal women with and without metabolic syndrome (MetS). METHODS Secondary analyses were performed on 73 inactive obese postmenopausal women (age 57.7 ± 4.8 years; body mass index 32.4 ± 4.6 kg/m) who participated in the 6-month CR arm of a study of the Montreal-Ottawa New Emerging Team. The harmonized MetS definition was used to categorize participants with MetS (n = 20, 27.39%) and without MetS (n = 53, 72.61%). Variables of interest were: body composition (dual-energy X-ray absorptiometry), body fat distribution (computed tomography scan), glucose homeostasis at fasting state and during a euglycemic/hyperinsulinemic clamp, fasting lipids, and resting blood pressure. RESULTS By design, the MetS group had a worse cardiometabolic profile, whereas both groups were comparable for age. Fifty-five participants out of 73 displayed no change in MetS status after the intervention. Twelve participants out of 20 (or 60.0%) in the MetS group had no more MetS after weight loss (P = NS), whereas 6 participants out of 53 (or 11.3%) in the other group developed the MetS after the intervention (P = NS). Overall, indices of body composition and body fat distribution improved significantly and similarly in both groups (P between 0.03 and 0.0001). Furthermore, with the exception of triglyceride levels and triglycerides/high-density lipoprotein cholesterol ratio, which decrease significantly more in the MetS group (P ≤ 0.05), no difference was observed between groups for the other variables of the cardiometabolic profile. CONCLUSIONS Despite no overall significant effects on MetS, heteregeneous results were obtained in response to weight loss in the present study, with some improving the MetS, whereas other displaying deteriorations. Further studies are needed to identify factors and phenotypes associated with positive and negative cardiometabolic responses to CR intervention.
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Stefan N, Häring HU, Schulze MB. Metabolically healthy obesity: the low-hanging fruit in obesity treatment? Lancet Diabetes Endocrinol 2018; 6:249-258. [PMID: 28919065 DOI: 10.1016/s2213-8587(17)30292-9] [Citation(s) in RCA: 209] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 08/01/2017] [Accepted: 08/04/2017] [Indexed: 12/15/2022]
Abstract
Obesity increases the risk of several other chronic diseases and, because of its epidemic proportions, has become a major public health problem worldwide. Alarmingly, a lower proportion of adults have tried to lose weight during the past decade than during the mid-1980s to 1990s. The first-line treatment option for obesity is lifestyle intervention. Although this approach can decrease fat mass in the short term, these beneficial effects typically do not persist. If a large amount of weight loss is not an easily achievable goal, other goals that might motivate people with obesity to adopt a healthy lifestyle should be considered. In this setting, the concept of metabolically healthy obesity is useful. Accumulating evidence suggests that, although the risk of all-cause mortality and cardiovascular events might be higher in people with metabolically healthy obesity compared with metabolically healthy people of a normal weight, the risk is substantially lower than in individuals with metabolically unhealthy obesity. Therefore, every person with obesity should be motivated to achieve a normal weight in the long term, but more moderate weight loss sufficient for the transition from metabolically unhealthy obesity to metabolically healthy obesity might also lower the risk of adverse outcomes. However, how much weight needs to be lost for this transition to occur is under debate. This transition might be supported by lifestyle factors-such as the Mediterranean diet-that affect cardiovascular risk, independent of body fat. In this Series paper, we summarise available information about the concept of metabolically healthy obesity, highlight gaps in research, and discuss how this concept can be implemented in clinical care.
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Affiliation(s)
- Norbert Stefan
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany.
| | - Hans-Ulrich Häring
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich, Tübingen, Germany; German Center for Diabetes Research, Neuherberg, Germany
| | - Matthias B Schulze
- German Center for Diabetes Research, Neuherberg, Germany; Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
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Lin H, Zhang L, Zheng R, Zheng Y. The prevalence, metabolic risk and effects of lifestyle intervention for metabolically healthy obesity: a systematic review and meta-analysis: A PRISMA-compliant article. Medicine (Baltimore) 2017; 96:e8838. [PMID: 29381992 PMCID: PMC5708991 DOI: 10.1097/md.0000000000008838] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND We conducted a systematic review and meta-analysis to firstly obtain a reliable estimation of the prevalence of metabolically healthy obese (MHO) individuals in obesity, then assessed the risk of developing metabolic abnormalities (MA) among MHO individuals. At last, we evaluated the effects of traditional lifestyle interventions on metabolic level for MHO subjects. METHODS A systematic review and meta-analysis (PRISMA) guideline were conducted, and original studies were searched up to December 31, 2016. The prevalence of MHO in obesity from each study was pooled using random effects models. The relative risks (RRs) were pooled to determine the risk of developing MA for MHO compared with metabolically healthy normal-weight (MHNW) subjects. For the meta-analysis of intervention studies, the mean difference and standardized mean differences were both estimated for each metabolic parameter within each study, and then pooled using a random-effects model. RESULTS Overall, 40 population-based studies reported the prevalence of MHO in obesity, 12 cohort studies and 7 intervention studies were included in the meta-analysis. About 35.0% obese individuals were metabolically healthy in the obese subjects. There were dramatic differences in the prevalence among different areas. However, 0.49 (95% confidence intervals [CI]: 0.38 to 0.60) of the MHO individuals would develop one or more MA within 10 years. Compared with MHNW subjects, the MHO subjects presented higher risk of incident MA (pooled RR = 1.80, 95%CI: 1.53-2.11). Following intervention, there was certain and significant improvement of metabolic state for metabolically abnormal obesity (MAO) subjects. Only diastolic blood pressure had reduced for MHO individuals after intervention. CONCLUSIONS Almost one-third of the obese individuals are in metabolic health. However, they are still at higher risk of advancing to unhealthy state. Therefore, it is still needed to advise MHO individuals to maintain or adopt a healthy lifestyle, so as to counterbalance the adverse effects of obesity.
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Affiliation(s)
| | - Liqun Zhang
- Department of Intensive Care Unit, Zhejiang Putuo Hospital, Zhoushan
| | - Ruizhi Zheng
- Department of Epidemiology and Statistic, Zhejiang University, Hangzhou, Zhejiang
| | - Yishan Zheng
- Department of Intensive Care Unit, The Second Hospital of Nanjing. Teaching Hospital of Medical School of Nanjing University, Nanjing, Jiangsu, China
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The relationship between obesity and hypertension: an updated comprehensive overview on vicious twins. Hypertens Res 2017; 40:947-963. [DOI: 10.1038/hr.2017.75] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 04/07/2017] [Accepted: 04/14/2017] [Indexed: 02/07/2023]
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Jung CH, Lee WJ, Song KH. Metabolically healthy obesity: a friend or foe? Korean J Intern Med 2017; 32:611-621. [PMID: 28602062 PMCID: PMC5511946 DOI: 10.3904/kjim.2016.259] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 04/27/2017] [Indexed: 12/11/2022] Open
Abstract
Obesity is associated with a reduced life expectancy, largely because obese individuals are at an increased risk of type 2 diabetes, cardiovascular disease, and several types of cancer. Much interest has recently focused on the concept of "all obesity is not created equally." Obese individuals without the metabolic abnormalities that commonly accompany excess adiposity, a condition known as metabolically healthy obesity (MHO), account for a substantial proportion of the obese adult population. Numerous possible mechanisms underlying MHO have been suggested, including adipose tissue distribution and inflammation. However, the prognostic value of MHO is controversial and considerably challenging. The lack of a standard definition for metabolic health and obesity as well as the dynamic properties of MHO may have contributed to these inconsistent results. This review aimed to present several current issues regarding MHO including its definition, epidemiology, natural course, suggested mechanisms, and clinical implications in the context of patient prognosis.
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Affiliation(s)
- Chang Hee Jung
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Woo Je Lee
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kee-Ho Song
- Department of Internal Medicine, Konkuk University School of Medicine, Seoul, Korea
- Correspondence to Kee-Ho Song, M.D. Department of Internal Medicine, Konkuk University School of Medicine, 120-1 Neungdong-ro, Gwangjin-gu, Seoul 05030, Korea Tel: +82-2-2030-753 Fax: +82-2-2030-7458 E-mail:
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Guo X, Li Z, Guo L, Yu S, Yang H, Zheng L, Pan G, Zhang Y, Sun Y, Pletcher MJ. Effects of Metabolically Healthy and Unhealthy Obesity on Prolongation of Corrected QT Interval. Am J Cardiol 2017; 119:1199-1204. [PMID: 28209348 DOI: 10.1016/j.amjcard.2016.12.033] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Revised: 12/22/2016] [Accepted: 12/22/2016] [Indexed: 10/20/2022]
Abstract
Although obesity and the metabolic syndrome (MS) often co-occur, many obese (OB) subjects have a favorable metabolic profile. It is unclear whether these factors independently influence cardiac electrophysiology including prolongation of the QT interval. We examined associations among obesity, MS, and prolonged corrected QT (QTc) interval in a large sample of Chinese research participants aged ≥35 years recruited from rural areas of Liaoning Province during 2012 to 2013. Of the 11,209 participants, 6,364 (56.8%) were nonobese and metabolically healthy (OB-/MS-), 2,853 (25.5%) were OB-/MS+, 493 (4.4%) were OB+/MS-, and 1,499 (13.4%) were OB+/MS+. Mean (±SD) QTc intervals were higher in OB-/MS+ (436.3 ± 24.3) and OB+/MS+ (436.6 ± 25.9) participants but not OB+/MS- participants (425.4 ± 24.0) than in OB-/MS- participants (426.8 ± 21.5, p <0.001), and the prevalence of QTc prolongation was higher in OB-/MS+ and OB+/MS+ participants (adjusted odds ratios [aOR] 1.68, 95% confidence interval [CI] 1.52 to 1.85; aOR 1.92, 95% CI 1.69 to 2.17, respectively) compared with OB-/MS- group but not in OB+/MS- participants (aOR 0.92, 95% CI 0.73 to 1.15). Prevalence increased with each MS component (aOR 1.27, 95% CI 1.22 to 1.32) but not with body mass index (aOR 1.01, 95% CI 0.99 to 1.02). In conclusion, prolonged QTc interval is associated with the MS and not independently associated with obesity.
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Metabolically healthy versus unhealthy obesity and risk for diabetes mellitus and cardiovascular diseases. Cardiovasc Endocrinol 2017; 6:23-26. [PMID: 31646115 DOI: 10.1097/xce.0000000000000119] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2016] [Accepted: 01/24/2017] [Indexed: 01/07/2023] Open
Abstract
Obesity presents one of the biggest issues of modern-day life for a wide variety of medical specialties, starting with the cardiologist and ending with the diabetologist or the bariatric surgeon. However, in the last few years a new entity has emerged, the metabolically healthy obese (MHO) individual. This category encompasses obese individuals without the presence of metabolic diseases such as type 2 diabetes mellitus, dyslipidemia, or hypertension. Several studies have thus been undertaken to determine the risk of these MHO individuals for diabetes mellitus or cardiovascular diseases compared with the 'unhealthy' obese. Data are still controversial on this matter, but one trend seems to be emerging: MHO is but a transient phase in the path toward insulin resistance and metabolic syndrome.
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Elmaogullari S, Demirel F, Hatipoglu N. Risk factors that affect metabolic health status in obese children. J Pediatr Endocrinol Metab 2017; 30:49-55. [PMID: 27992361 DOI: 10.1515/jpem-2016-0128] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 11/07/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND While some obese children are metabolically healthy (MHO), some have additional health problems, such as hypertension, dyslipidemia, insulin resistance, and hepatosteatosis, which increase mortality and morbidity related to cardiovascular diseases (CVD) during adulthood. These children are metabolically unhealthy obese (MUO) children. In this study we assessed the factors that affect metabolic health in obesity and the clinical and laboratory findings that distinguish between MHO and MUO children. METHODS In total, 1085 patients aged 6-18 years, with age- and sex-matched BMI exceeding the 95th percentile were included in the study (mean 11.1±2.9 years, 57.6% female, 59.7% pubertal). Patients without dyslipidemia, insulin resistance, hepatosteatosis, or hypertension were considered as MHO. Dyslipidemia was defined as total cholesterol level over 200 mg/dL, triglyceride over 150 mg/dL, LDL over 130 mg/dL, or HDL under 40 mg/dL. Insulin resistance was calculated using the homeostasis model of assesment for insulin resistance (HOMA-IR) index. Hepatosteatosis was evaluated with abdominal ultrasound. Duration of obesity, physical activity and nutritional habits, screen time, and parental obesity were questioned. Thyroid and liver function tests were performed. RESULTS Six hundred and forty-two cases (59.2%) were MUO. Older age, male sex, increased BMI-SDS, and sedentary lifestyle were associated with MUO. Excessive junk food consumption was associated with MUO particularly among the prepubertal obese patients. CONCLUSIONS Our results revealed that the most important factors that affect metabolic health in obesity are age and BMI. Positive effects of an active lifestyle and healthy eating habits are prominent in the prepubertal period and these habits should be formed earlier in life.
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Buscemi S, Chiarello P, Buscemi C, Corleo D, Massenti MF, Barile AM, Rosafio G, Maniaci V, Settipani V, Cosentino L, Giordano C. Characterization of Metabolically Healthy Obese People and Metabolically Unhealthy Normal-Weight People in a General Population Cohort of the ABCD Study. J Diabetes Res 2017; 2017:9294038. [PMID: 28840131 PMCID: PMC5559951 DOI: 10.1155/2017/9294038] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 07/13/2017] [Indexed: 12/22/2022] Open
Abstract
There is actually no consensus about the possibility that in some instances, obesity may be a benign metabolically healthy (MH) condition as opposed to a normal-weight but metabolically unhealthy (MUH) state. The aim of this study was to characterize MH condition and to investigate possible associations with metabolic and cardiovascular complications. One thousand nineteen people (range of age 18-90 years) of the cohort of the ABCD_2 study were investigated. Participants were classified as normal weight (BMI < 24.9 kg/m2) or overweight-obese (BMI ≥25 kg/m2); they were also classified as MH in the presence of 0-1 among the following conditions: (a) prediabetes/type 2 diabetes, (b) hypertension, (c) hypertriglyceridemia or low HDL cholesterolemia, and (d) hypercholesterolemia. MUH condition was diagnosed if ≥2 of the conditions listed were found. The prevalence of overweight/obese people was 71.1%, of whom 27.4% were found to be MH. In addition, 36.7% of the normal-weight participants were MUH. HOMA-IR, high sensitivity C-reactive protein, and the carotid intima-media thickness were significantly different in the 4 subgroups (P < 0.001), with higher values observed in the MUH normal-weight and obese groups. In conclusion, this study highlights the importance of identifying a MH condition in normal-weight and in obese people in order to offer better treatment.
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Affiliation(s)
- Silvio Buscemi
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
- *Silvio Buscemi:
| | - Pierfilippo Chiarello
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Carola Buscemi
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Davide Corleo
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Maria Fatima Massenti
- Dipartimento di Scienze per la Promozione della Salute e Materno Infantile, University of Palermo, Palermo, Italy
| | - Anna Maria Barile
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Giuseppe Rosafio
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Vincenza Maniaci
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Valentina Settipani
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Loretta Cosentino
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
| | - Carla Giordano
- Dipartimento Biomedico di Medicina Interna e Specialistica (DIBIMIS), University of Palermo, Palermo, Italy
- Unit of Malattie Endocrine del Ricambio e della Nutrizione, AOU Policlinico “P. Giaccone”, Palermo, Italy
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Ding C, Chan Z, Magkos F. Lean, but not healthy: the 'metabolically obese, normal-weight' phenotype. Curr Opin Clin Nutr Metab Care 2016; 19:408-417. [PMID: 27552473 DOI: 10.1097/mco.0000000000000317] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW Obesity is commonly associated with metabolic dysfunction but there are obese persons who are metabolically healthy. On the opposite side of the coin, there are lean persons who carry multiple cardiometabolic risk factors, typically referred to as metabolically obese, normal-weight (MONW). This has called into question our understanding of obesity and metabolic dysfunction, as an appearance of normal weight may mask significant comorbidities and delay health interventions. RECENT FINDINGS High heterogeneity in MONW prevalence rates has been observed, with estimates ranging from as low as 5% to as high as 45%. Reasons for this include sample size effects, differences in MONW definition, social and demographic factors, as well as assumptions made in establishing normal weight. MONW study participants are often characterized by excess visceral adipose tissue and ectopic fat deposition, adipose tissue inflammation, altered inflammatory and adipokine profiles, reduced skeletal muscle mass and low cardiorespiratory fitness. However, more often than not, groups of MONW study participants have been somewhat 'fatter' than the control groups of metabolically healthy lean study participants, which in itself could be responsible for some of the observed differences. Very limited data are available regarding interventions to improve metabolic function in MONW study participants. SUMMARY There is a need for more research to better understand the characteristics of the MONW phenotype, the cause of metabolic dysfunction in the absence of obesity, and evaluate potential therapies so as to facilitate the establishment of clinical guidelines.
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Affiliation(s)
- Cherlyn Ding
- aClinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR) bDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Phillips CM. Metabolically healthy obesity across the life course: epidemiology, determinants, and implications. Ann N Y Acad Sci 2016; 1391:85-100. [PMID: 27723940 DOI: 10.1111/nyas.13230] [Citation(s) in RCA: 125] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/09/2016] [Accepted: 08/18/2016] [Indexed: 12/24/2022]
Abstract
In recent years, different subphenotypes of obesity have been described, including metabolically healthy obesity (MHO), in which a proportion of obese individuals, despite excess body fat, remain free of metabolic abnormalities and increased cardiometabolic risk. In the absence of a universally accepted set of criteria to classify MHO, the reported prevalence estimates vary widely. Our understanding of the determinants and stability of MHO over time and the associated cardiometabolic and mortality risks is improving, but many questions remain. For example, whether MHO is truly benign is debatable, and whether risk stratification of obese individuals on the basis of their metabolic health status may offer new opportunities for more personalized approaches in diagnosis, intervention, and treatment of diabetes remains speculative. Furthermore, as most of the research to date has focused on MHO in adults, little is known about childhood MHO. In this review, we focus on the epidemiology, determinants, stability, and health implications of MHO across the life course.
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Affiliation(s)
- Catherine M Phillips
- HRB Centre for Diet and Health Research, Department of Epidemiology and Public Health, University College Cork, Cork, Ireland; and HRB Centre for Diet and Health Research, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
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Lipid accumulation product (LAP) as a criterion for the identification of the healthy obesity phenotype in postmenopausal women. Exp Gerontol 2016; 82:81-7. [DOI: 10.1016/j.exger.2016.06.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 06/16/2016] [Accepted: 06/17/2016] [Indexed: 01/11/2023]
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Cheikh Rouhou M, Karelis A, St-Pierre D, Lamontagne L. Adverse effects of weight loss: Are persistent organic pollutants a potential culprit? DIABETES & METABOLISM 2016; 42:215-23. [DOI: 10.1016/j.diabet.2016.05.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 05/09/2016] [Accepted: 05/24/2016] [Indexed: 02/05/2023]
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Abstract
Obesity is a top public health priority but interventions to reverse the condition have had limited success. About one-in-three obese adults are free of metabolic risk factor clustering and are considered 'healthy', and much attention has focused on the implications of this state for obesity management. Areas covered: We searched for individual studies, systematic reviews, and meta-analyses which examined correlates and outcomes of metabolically healthy obesity. We discuss the key roles of fat distribution and physical activity in determining healthy vs. unhealthy obesity and report a greatly increased risk of incident type 2 diabetes associated with healthy obesity vs. healthy normal weight, among other outcomes. We argue that despite inconsistencies in the definition, patterns across studies clearly show that healthy obesity is a state of intermediate disease risk. Expert commentary: Given the current state of population-level evidence, we conclude that obesity and metabolic dysfunction are inseparable and that healthy obesity is best viewed only as a state of relative health but not of absolute health. We recommend that weight loss through energy restriction be a stand-alone target in addition to increased physical activity for minimising risk of future disease.
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Affiliation(s)
- J A Bell
- a Department of Epidemiology & Public Health , University College London , London , UK
- b School of Sport, Exercise & Health Sciences, Loughborough University , Loughborough , UK
| | - M Hamer
- b School of Sport, Exercise & Health Sciences, Loughborough University , Loughborough , UK
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44
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Stelmach-Mardas M, Walkowiak J. Dietary Interventions and Changes in Cardio-Metabolic Parameters in Metabolically Healthy Obese Subjects: A Systematic Review with Meta-Analysis. Nutrients 2016; 8:E455. [PMID: 27483307 PMCID: PMC4997370 DOI: 10.3390/nu8080455] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2016] [Revised: 07/14/2016] [Accepted: 07/25/2016] [Indexed: 11/27/2022] Open
Abstract
The aim of this systematic review was to assess the effect of diet on changes in parameters describing the body size phenotype of metabolically healthy obese subjects. The databases Medline, Scopus, Web of Knowledge and Embase were searched for clinical studies carried out between 1958 and June 2016 that reported the effect of dietary intervention on BMI, blood pressure, concentration of fasting triglyceride (TG), high density lipoprotein cholesterol (HDL-C), fasting glucose level, the homoeostatic model assessment of insulin resistance (HOMA-IR) and high sensitivity C-Reactive Protein (hsCRP) in metabolically healthy, obese subjects. Twelve clinical studies met inclusion criteria. The combined analyzed population consists of 1827 subjects aged 34.4 to 61.1 with a BMI > 30 kg/m². Time of intervention ranged from eight to 104 weeks. The baseline characteristics related to lipid profile were more favorable for metabolically healthy obese than for metabolically unhealthy obese. The meta-analyses revealed a significant associations between restricted energy diet and BMI (95% confidence interval (CI): -0.88, -0.19), blood pressure (systolic blood pressure (SBP): -4.73 mmHg; 95% CI: -7.12, -2.33; and diastolic blood pressure (DBP): -2.75 mmHg; 95% CI: -4.30, -1.21) and TG (-0.11 mmol/l; 95% CI: -0.16, -0.06). Changes in fasting glucose, HOMA-IR and hsCRP did not show significant changes. Sufficient evidence was not found to support the use of specific diets in metabolically healthy obese subjects. This analysis suggests that the effect of caloric restriction exerts its effects through a reduction in BMI, blood pressure and triglycerides in metabolically healthy obese (MHO) patients.
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Affiliation(s)
- Marta Stelmach-Mardas
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, Nuthetal 14558, Germany.
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna Str 27/33, Poznan 60-572, Poland.
| | - Jarosław Walkowiak
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna Str 27/33, Poznan 60-572, Poland.
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45
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Natural Course of Metabolically Healthy Overweight/Obese Subjects and the Impact of Weight Change. Nutrients 2016; 8:nu8070430. [PMID: 27428997 PMCID: PMC4963906 DOI: 10.3390/nu8070430] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 07/08/2016] [Accepted: 07/11/2016] [Indexed: 02/03/2023] Open
Abstract
Few studies have described the characteristics of metabolically healthy individuals with excess fat in the Chinese population. This study aimed to prospectively investigate the natural course of metabolically healthy overweight/obese (MH-OW/OB) adults, and to assess the impact of weight change on developing metabolic abnormalities. During 2009–2010, 525 subjects without any metabolic abnormalities or other obesity-related diseases were evaluated and reevaluated after 5 years. The subjects were categorized into two groups of overweight/obese and normal weight based on the criteria of BMI by 24.0 at baseline. At follow-up, the MH-OW/OB subjects had a significantly increased risk of developing metabolically abnormalities compared with metabolically healthy normal-weight (MH-NW) individuals (risk ratio: 1.35, 95% confidence interval: 1.17–1.49, p value < 0.001). In the groups of weight gain and weight maintenance, the MH-OW/OB subjects was associated with a larger increase in fasting glucose, triglycerides, systolic blood pressure, diastolic blood pressure and decrease in high-density lipoprotein cholesterol comparing with MH-NW subjects. In the weight loss group, no significant difference of changes of metabolic parameters was observed between MH-OW/OB and MH-NW adults. This study verifies that MH-OW/OB are different from MH-NW subjects. Weight management is needed for all individuals since weight change has a significant effect on metabolic health without considering the impact of weight change according to weight status.
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46
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A panel of free fatty acid ratios to predict the development of metabolic abnormalities in healthy obese individuals. Sci Rep 2016; 6:28418. [PMID: 27344992 PMCID: PMC4921829 DOI: 10.1038/srep28418] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Accepted: 05/31/2016] [Indexed: 01/14/2023] Open
Abstract
Increasing evidences support that metabolically healthy obese (MHO) is a transient state. However, little is known about the early markers associated with the development of metabolic abnormalities in MHO individuals. Serum free fatty acids (FFAs) profile is highlighted in its association with obesity-related insulin resistance, type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD). To examine the association of endogenous fatty acid metabolism with future development of metabolic abnormalities in MHO individuals, we retrospectively analyzed 24 [product FFA]/[precursor FFA] ratios in fasting sera and clinical data from 481 individuals who participated in three independent studies, including 131 metabolic healthy subjects who completed the 10-year longitudinal Shanghai Diabetes Study (SHDS), 312 subjects cross-sectionally sampled from the Shanghai Obesity Study (SHOS), and 38 subjects who completed an 8-week very low carbohydrate diet (VLCD) intervention study. Results showed that higher baseline level of oleic acid/stearic acid (OA/SA), and lower levels of stearic acid/palmitic acid (SA/PA) and arachidonic acid/dihomo-γ-linolenic acid (AA/DGLA) ratios were associated with higher rate of MHO to MUO conversion in the longitudinal SHDS. Further, the finding was validated in the cross-sectional and interventional studies. This panel of FFA ratios could be used for identification and early intervention of at-risk obese individuals.
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47
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Mediterranean diet and mortality risk in metabolically healthy obese and metabolically unhealthy obese phenotypes. Int J Obes (Lond) 2016; 40:1541-1549. [DOI: 10.1038/ijo.2016.114] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 06/04/2016] [Accepted: 06/12/2016] [Indexed: 12/15/2022]
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48
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Does Metabolically Healthy Obesity Exist? Nutrients 2016; 8:nu8060320. [PMID: 27258304 PMCID: PMC4924161 DOI: 10.3390/nu8060320] [Citation(s) in RCA: 98] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 05/04/2016] [Accepted: 05/17/2016] [Indexed: 02/07/2023] Open
Abstract
The relationship between obesity and other metabolic diseases have been deeply studied. However, there are clinical inconsistencies, exceptions to the paradigm of "more fat means more metabolic disease", and the subjects in this condition are referred to as metabolically healthy obese (MHO).They have long-standing obesity and morbid obesity but can be considered healthy despite their high degree of obesity. We describe the variable definitions of MHO, the underlying mechanisms that can explain the existence of this phenotype caused by greater adipose tissue inflammation or the different capacity for adipose tissue expansion and functionality apart from other unknown mechanisms. We analyze whether these subjects improve after an intervention (traditional lifestyle recommendations or bariatric surgery) or if they stay healthy as the years pass. MHO is common among the obese population and constitutes a unique subset of characteristics that reduce metabolic and cardiovascular risk factors despite the presence of excessive fat mass. The protective factors that grant a healthier profile to individuals with MHO are being elucidated.
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49
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Doumatey AP, Zhou J, Zhou M, Prieto D, Rotimi CN, Adeyemo A. Proinflammatory and lipid biomarkers mediate metabolically healthy obesity: A proteomics study. Obesity (Silver Spring) 2016; 24:1257-65. [PMID: 27106679 PMCID: PMC4882259 DOI: 10.1002/oby.21482] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Revised: 01/11/2016] [Accepted: 01/11/2016] [Indexed: 12/25/2022]
Abstract
OBJECTIVE The metabolically healthy obesity (MHO) phenotype is an important obesity subtype in which obesity is not accompanied by any metabolic comorbidity. However, the underlying molecular mechanisms remain elusive. In this study, a shotgun proteomics approach to identify circulating biomolecules and pathways associated with MHO was used. METHODS The subjects were 20 African-American women: 10 MHO cases and 10 metabolically abnormal individuals with obesity (MAO) controls. Serum proteins were detected and quantified using label-free proteomics. Differential expression of proteins between the two groups was analyzed, and the list of differentially expressed proteins was analyzed to determine enriched biological pathways. RESULTS Twenty proteins were differentially expressed between MHO and controls. These proteins included: hemoglobin subunits (HBA1, P = 6.00 × 10(-18) ), haptoglobin-related protein (HPR, P = 1.2 × 10(-15) ), apolipoproteins (APOB-100, P = 1.50 × 10(-40) ; APOA4, P = 1.1 × 10(-14) ), retinol-binding protein 4 (RBP4, P = 7.1 × 10(-08) ), and CRP (P = 2.0 × 10(-04) ). MHO was associated with lower levels of proinflammatory and higher levels of anti-inflammatory biomarkers when compared with MAO. Pathway analysis showed enrichment of lipids and inflammatory pathways, including LXR/RXR and FXR/RXR activation, and acute phase response signaling. CONCLUSIONS These findings suggested that protection from dysregulated inflammatory and lipid processes were primary molecular hallmarks of MHO. The candidate biomarkers (AHSG, RBP4, and APOA4) identified in this study are potential prognostic markers for MHO.
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Affiliation(s)
- Ayo Priscille Doumatey
- Center for Research on Genomics and Global HealthNational Human Genome Research Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Jie Zhou
- Center for Research on Genomics and Global HealthNational Human Genome Research Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Ming Zhou
- Laboratory of Proteomics and Analytical Technologies (LPAT) Leidos Biomedical Research IncNational Cancer Institute, National Institutes of HealthFrederickMarylandUSA
| | - DaRue Prieto
- Laboratory of Proteomics and Analytical Technologies (LPAT) Leidos Biomedical Research IncNational Cancer Institute, National Institutes of HealthFrederickMarylandUSA
| | - Charles N. Rotimi
- Center for Research on Genomics and Global HealthNational Human Genome Research Institute, National Institutes of HealthBethesdaMarylandUSA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global HealthNational Human Genome Research Institute, National Institutes of HealthBethesdaMarylandUSA
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50
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Barbat-Artigas S, Garnier S, Joffroy S, Riesco É, Sanguignol F, Vellas B, Rolland Y, Andrieu S, Aubertin-Leheudre M, Mauriège P. Caloric restriction and aerobic exercise in sarcopenic and non-sarcopenic obese women: an observational and retrospective study. J Cachexia Sarcopenia Muscle 2016; 7:284-9. [PMID: 27247859 PMCID: PMC4867658 DOI: 10.1002/jcsm.12075] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Revised: 08/13/2015] [Accepted: 09/01/2015] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Sarcopenic obese (SO) individuals are a unique subset of subjects that combines obesity and sarcopenia. Traditional weight loss programmes including aerobic exercises may worsen their condition by further reducing their lean mass. The objective of this observational and retrospective study was to verify the effect of a mixed weight loss programme combining caloric restriction and exercise on body composition, and lipid-lipoprotein profile of obese women according to their sarcopenic status. METHODS One hundred and forty-six obese women (body mass index ≥ 30 kg/m(2) and fat mass ≥ 40%) participated to the 3 week usual and institutionalized weight-reducing programme combining a dietary plan (1400 ± 200 kcal/day) and aerobic exercise (1 h/day, 6 days/week) of a specialized medical institution. The lean body mass index (LMI; lean mass/height(2)) was calculated, and women in the lowest tertile of LMI were considered SO. RESULTS At baseline, SO women were older, and their body weight and LMI were lower than non-sarcopenic obese (N-SO) women (p < 0.05). N-SO and SO women similarly lost fat mass and improved their lipid-lipoprotein profile (p < 0.05), while differences in LMI between groups persisted at the end of the weight-reducing programme. Indeed, N-SO women lost lean mass (p < 0.05) while SO did not. CONCLUSIONS These findings suggest that a short weight loss programme combining caloric restriction and aerobic exercise may significantly reduce fat mass and improve lipid-lipoprotein profile in obese women, independently of their sarcopenic status. Such programmes may have deleterious effects on lean mass in N-SO subjects, only.
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Affiliation(s)
- Sébastien Barbat-Artigas
- Département de Biologie Université du Québec À Montréal Montréal Canada; Groupe de Recherche en Activité Physique Adaptée Université du Québec À Montréal Montréal Canada
| | - Sophie Garnier
- Faculty of Sport Sciences and Human Kinetics Université P. Sabatier Toulouse France
| | - Sandra Joffroy
- Faculty of Sport Sciences and Human Kinetics Université P. Sabatier Toulouse France
| | - Éléonor Riesco
- University of Sherbrooke, and Research Center on Aging CSSS-IUGS Sherbrooke Canada
| | | | - Bruno Vellas
- Service de Médecine Interne et de Gérontologie Clinique Gérontopôle de Toulouse, Hôpital La Grave-Casselardit Toulouse France; Unité Inserm 1027 Faculté de Médecine de Toulouse Toulouse France
| | - Yves Rolland
- Service de Médecine Interne et de Gérontologie Clinique Gérontopôle de Toulouse, Hôpital La Grave-Casselardit Toulouse France; Unité Inserm 1027 Faculté de Médecine de Toulouse Toulouse France
| | - Sandrine Andrieu
- Unité Inserm 1027 Faculté de Médecine de Toulouse Toulouse France; Department of Epidemiology and Public Health and Gerontopole, Department of Geriatric Medicine Toulouse University Hospital Toulouse France
| | - Mylène Aubertin-Leheudre
- Groupe de Recherche en Activité Physique Adaptée Université du Québec À Montréal Montréal Canada; Département de Kinanthropologie Université du Québec À Montréal Montréal Canada; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM) Montréal Canada
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