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Milhem F, Hamilton LM, Skates E, Wilson M, Johanningsmeier SD, Komarnytsky S. Biomarkers of Metabolic Adaptation to High Dietary Fats in a Mouse Model of Obesity Resistance. Metabolites 2024; 14:69. [PMID: 38276304 PMCID: PMC10819356 DOI: 10.3390/metabo14010069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 01/27/2024] Open
Abstract
Obesity-resistant (non-responder, NR) phenotypes that exhibit reduced susceptibility to developing obesity despite being exposed to high dietary fat are crucial in exploring the metabolic responses that protect against obesity. Although several efforts have been made to study them in mice and humans, the individual protective mechanisms are poorly understood. In this exploratory study, we used a polygenic C57BL/6J mouse model of diet-induced obesity to show that NR mice developed healthier fat/lean body mass ratios (0.43 ± 0.05) versus the obesity-prone (super-responder, SR) phenotypes (0.69 ± 0.07, p < 0.0001) by upregulating gene expression networks that promote the accumulation of type 2a, fast-twitch, oxidative muscle tissues. This was achieved in part by a metabolic adaptation in the form of blood glucose sparing, thus aggravating glucose tolerance. Resistance to obesity in NR mice was associated with 4.9-fold upregulated mitoferrin 1 (Slc25a37), an essential mitochondrial iron importer. SR mice also showed fecal volatile metabolite signatures of enhanced short-chain fatty acid metabolism, including increases in detrimental methyl formate and ethyl propionate, and these effects were reversed in NR mice. Continued research into obesity-resistant phenotypes can offer valuable insights into the underlying mechanisms of obesity and metabolic health, potentially leading to more personalized and effective approaches for managing weight and related health issues.
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Affiliation(s)
- Fadia Milhem
- Plants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA; (F.M.); (E.S.); (M.W.)
- Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, 400 Dan Allen Drive, Raleigh, NC 27695, USA;
- Department of Nutrition, University of Petra, 317 Airport Road, Amman 11196, Jordan
| | - Leah M. Hamilton
- Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, 400 Dan Allen Drive, Raleigh, NC 27695, USA;
- College of Agriculture, Virginia State University, 1 Hayden Drive, Petersburg, VA 23806, USA
| | - Emily Skates
- Plants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA; (F.M.); (E.S.); (M.W.)
| | - Mickey Wilson
- Plants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA; (F.M.); (E.S.); (M.W.)
| | - Suzanne D. Johanningsmeier
- United States Department of Agriculture-Agricultural Research Service, Southeast Area, Food Science and Market Quality & Handling Research Unit, North Carolina State University, 322 Schaub Hall, Box 7624, Raleigh, NC 27695, USA;
| | - Slavko Komarnytsky
- Plants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA; (F.M.); (E.S.); (M.W.)
- Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, 400 Dan Allen Drive, Raleigh, NC 27695, USA;
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Luby A, Alves-Guerra MC. UCP2 as a Cancer Target through Energy Metabolism and Oxidative Stress Control. Int J Mol Sci 2022; 23:ijms232315077. [PMID: 36499405 PMCID: PMC9735768 DOI: 10.3390/ijms232315077] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/25/2022] [Accepted: 11/27/2022] [Indexed: 12/02/2022] Open
Abstract
Despite numerous therapies, cancer remains one of the leading causes of death worldwide due to the lack of markers for early detection and response to treatment in many patients. Technological advances in tumor screening and renewed interest in energy metabolism have allowed us to identify new cellular players in order to develop personalized treatments. Among the metabolic actors, the mitochondrial transporter uncoupling protein 2 (UCP2), whose expression is increased in many cancers, has been identified as an interesting target in tumor metabolic reprogramming. Over the past decade, a better understanding of its biochemical and physiological functions has established a role for UCP2 in (1) protecting cells from oxidative stress, (2) regulating tumor progression through changes in glycolytic, oxidative and calcium metabolism, and (3) increasing antitumor immunity in the tumor microenvironment to limit cancer development. With these pleiotropic roles, UCP2 can be considered as a potential tumor biomarker that may be interesting to target positively or negatively, depending on the type, metabolic status and stage of tumors, in combination with conventional chemotherapy or immunotherapy to control tumor development and increase response to treatment. This review provides an overview of the latest published science linking mitochondrial UCP2 activity to the tumor context.
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Plasma FGF21 Levels Are Not Associated with Weight Loss or Improvements in Metabolic Health Markers upon 12 Weeks of Energy Restriction: Secondary Analysis of an RCT. Nutrients 2022; 14:nu14235061. [PMID: 36501091 PMCID: PMC9735516 DOI: 10.3390/nu14235061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/27/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
Recent studies suggest that circulating fibroblast growth factor 21 (FGF21) may be a marker of metabolic health status. We performed a secondary analysis of a 12-week randomized controlled trial to investigate the effects of two energy restriction (ER) diets on fasting and postprandial plasma FGF21 levels, as well as to explore correlations of plasma FGF21 with metabolic health markers, (macro)nutrient intake and sweet-taste preference. Abdominally obese subjects aged 40-70 years (n = 110) were randomized to one of two 25% ER diets (high-nutrient-quality diet or low-nutrient-quality diet) or a control group. Plasma FGF21 was measured in the fasting state and 120 min after a mixed meal. Both ER diets did not affect fasting or postprandial plasma FGF21 levels despite weight loss and accompanying health improvements. At baseline, the postprandial FGF21 response was inversely correlated to fasting plasma glucose (ρ = -0.24, p = 0.020) and insulin (ρ = -0.32, p = 0.001), HOMA-IR (ρ = -0.34, p = 0.001), visceral adipose tissue (ρ = -0.24, p = 0.046), and the liver enzyme aspartate aminotransferase (ρ = -0.23, p = 0.021). Diet-induced changes in these markers did not correlate to changes in plasma FGF21 levels upon intervention. Baseline higher habitual polysaccharide intake, but not mono- and disaccharide intake or sweet-taste preference, was related to lower fasting plasma FGF21 (p = 0.022). In conclusion, we found no clear evidence that fasting plasma FGF21 is a marker for metabolic health status. Circulating FGF21 dynamics in response to an acute nutritional challenge may reflect metabolic health status better than fasting levels.
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Muroya S, Zhang Y, Kinoshita A, Otomaru K, Oshima K, Gotoh Y, Oshima I, Sano M, Roh S, Oe M, Ojima K, Gotoh T. Maternal Undernutrition during Pregnancy Alters Amino Acid Metabolism and Gene Expression Associated with Energy Metabolism and Angiogenesis in Fetal Calf Muscle. Metabolites 2021; 11:metabo11090582. [PMID: 34564398 PMCID: PMC8465837 DOI: 10.3390/metabo11090582] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/26/2021] [Accepted: 08/27/2021] [Indexed: 12/25/2022] Open
Abstract
To elucidate the mechanisms underlying maternal undernutrition (MUN)-induced fetal skeletal muscle growth impairment in cattle, the longissimus thoracis muscle of Japanese Black fetal calves at 8.5 months in utero was analyzed by an integrative approach with metabolomics and transcriptomics. The pregnant cows were fed on 60% (low-nutrition, LN) or 120% (high-nutrition, HN) of their overall nutritional requirement during gestation. MUN markedly decreased the bodyweight and muscle weight of the fetus. The levels of amino acids (AAs) and arginine-related metabolites including glutamine, gamma-aminobutyric acid (GABA), and putrescine were higher in the LN group than those in the HN group. Metabolite set enrichment analysis revealed that the highly different metabolites were associated with the metabolic pathways of pyrimidine, glutathione, and AAs such as arginine and glutamate, suggesting that MUN resulted in AA accumulation rather than protein accumulation. The mRNA expression levels of energy metabolism-associated genes, such as PRKAA1, ANGPTL4, APLNR, CPT1B, NOS2, NOS3, UCP2, and glycolytic genes were lower in the LN group than in the HN group. The gene ontology/pathway analysis revealed that the downregulated genes in the LN group were associated with glucose metabolism, angiogenesis, HIF-1 signaling, PI3K-Akt signaling, pentose phosphate, and insulin signaling pathways. Thus, MUN altered the levels of AAs and expression of genes associated with energy expenditure, glucose homeostasis, and angiogenesis in the fetal muscle.
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Affiliation(s)
- Susumu Muroya
- Division of Animal Products Research, NARO Institute of Livestock and Grassland Science (NILGS), Tsukuba 305-0901, Ibaraki, Japan; (M.O.); (K.O.)
- Correspondence: (S.M.); (T.G.)
| | - Yi Zhang
- Department of Agricultural Sciences and Natural Resources, Kagoshima University, Korimoto 1-21-24, Kagoshima 890-8580, Japan; (Y.Z.); (A.K.); (I.O.)
| | - Aoi Kinoshita
- Department of Agricultural Sciences and Natural Resources, Kagoshima University, Korimoto 1-21-24, Kagoshima 890-8580, Japan; (Y.Z.); (A.K.); (I.O.)
| | - Kounosuke Otomaru
- Joint Faculty of Veterinary Medicine, Kagoshima University, Korimoto 1-21-24, Kagoshima 890-8580, Japan;
| | - Kazunaga Oshima
- Division of Year-Round Grazing Research, NARO Western Region Agricultural Research Center, 60 Yoshinaga, Ohda 694-0013, Shimane, Japan; (K.O.); (Y.G.)
| | - Yuji Gotoh
- Division of Year-Round Grazing Research, NARO Western Region Agricultural Research Center, 60 Yoshinaga, Ohda 694-0013, Shimane, Japan; (K.O.); (Y.G.)
| | - Ichiro Oshima
- Department of Agricultural Sciences and Natural Resources, Kagoshima University, Korimoto 1-21-24, Kagoshima 890-8580, Japan; (Y.Z.); (A.K.); (I.O.)
| | - Mitsue Sano
- Faculty of Human Culture, University of Shiga Prefecture, 2500 Hassaka-cho, Hikone 522-8533, Shiga, Japan;
| | - Sanggun Roh
- Graduate School of Agricultural Science, Tohoku University, 468-1 Aoba, Aramaki, Aoba-ku, Sendai 980-8578, Miyagi, Japan;
| | - Mika Oe
- Division of Animal Products Research, NARO Institute of Livestock and Grassland Science (NILGS), Tsukuba 305-0901, Ibaraki, Japan; (M.O.); (K.O.)
| | - Koichi Ojima
- Division of Animal Products Research, NARO Institute of Livestock and Grassland Science (NILGS), Tsukuba 305-0901, Ibaraki, Japan; (M.O.); (K.O.)
| | - Takafumi Gotoh
- Department of Agricultural Sciences and Natural Resources, Kagoshima University, Korimoto 1-21-24, Kagoshima 890-8580, Japan; (Y.Z.); (A.K.); (I.O.)
- Correspondence: (S.M.); (T.G.)
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Heinitz S, Hollstein T, Ando T, Walter M, Basolo A, Krakoff J, Votruba SB, Piaggi P. Early adaptive thermogenesis is a determinant of weight loss after six weeks of caloric restriction in overweight subjects. Metabolism 2020; 110:154303. [PMID: 32599082 PMCID: PMC7484122 DOI: 10.1016/j.metabol.2020.154303] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/22/2020] [Accepted: 06/25/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Adaptive thermogenesis during prolonged energy deficit refers to the greater than expected reduction in energy expenditure (EE) independent of concomitant loss of metabolically active body mass. OBJECTIVE As inter-individual variability in the magnitude of adaptive thermogenesis may influence the extent of energy deficit thereby predicting the amount of weight reduction, we investigated whether early adaptive thermogenesis is a determinant of weight loss after 6 weeks of daily 50% caloric restriction in an inpatient setting. DESIGN AND METHODS The current study reports the results of an exploratory, secondary analysis in overweight but otherwise healthy subjects (n = 11, 7 men, 35 ± 9y, BMI = 40 ± 7 kg/m2, body fat = 63.3 ± 5.3%). Body composition and 24-h EE (24hEE) measurement in a whole-room indirect calorimeter were used to calculate the magnitude of adaptive thermogenesis while on caloric restriction after 1, 3 and 6 weeks. Energy deficit during caloric restriction was quantified via food, stool, and urine bomb calorimetry. Fasting hormonal concentrations (FT4, FT3, FGF21, leptin) were obtained at baseline and at weeks 3 and 6 during caloric restriction. RESULTS The magnitude of adaptive thermogenesis in 24hEE after 1 week of caloric restriction was -178 ± 137 kcal/day (mean ± SD), was overall stable during and following caloric restriction, and demonstrated remarkable intra-individual consistency. A relatively greater decrease in 24hEE of 100 kcal/d after 1 week of caloric restriction was associated on average with reduced energy deficit by 8195 kcal over 6 weeks and predicted 2.0 kg less weight loss, of which 0.5 kg was fat mass, after 6 weeks. No correlations were found between hormonal concentrations and weight loss. CONCLUSIONS The extent of weight loss is influenced by the magnitude of adaptive thermogenesis in the early stage of caloric restriction. Although these results need replication in larger study groups with adequate statistical power, targeting adaptive thermogenesis may help to optimize long-term interventions in obesity therapy.
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Affiliation(s)
- Sascha Heinitz
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ 85016, USA; Department of Internal Medicine, Clinic for Endocrinology, Nephrology and Rheumatology, University of Leipzig, Liebigstrasse 20, 04103 Leipzig, Germany; Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Philipp-Rosenthal-Strasse, 27, 04103 Leipzig, Germany
| | - Tim Hollstein
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ 85016, USA
| | - Takafumi Ando
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ 85016, USA
| | - Mary Walter
- Clinical Research Core Laboratory, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA
| | - Alessio Basolo
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ 85016, USA
| | - Jonathan Krakoff
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ 85016, USA
| | - Susanne B Votruba
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ 85016, USA
| | - Paolo Piaggi
- Obesity and Diabetes Clinical Research Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, 4212 North 16th Street, Phoenix, AZ 85016, USA; Department of Information Engineering, University of Pisa, Pisa 56122, Italy.
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Oliveira MS, Rheinheimer J, Moehlecke M, Rodrigues M, Assmann TS, Leitão CB, Trindade MRM, Crispim D, de Souza BM. UCP2, IL18, and miR-133a-3p are dysregulated in subcutaneous adipose tissue of patients with obesity. Mol Cell Endocrinol 2020; 509:110805. [PMID: 32251712 DOI: 10.1016/j.mce.2020.110805] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 03/26/2020] [Accepted: 03/30/2020] [Indexed: 01/12/2023]
Abstract
The aim of this study was to compare the expression of UCP2, NLRP3, IL1B, IL18, and miR-133a-3p in subcutaneous adipose tissue (SAT) of 61 patients divided according to BMI: Group 1 (n = 8; BMI<25.0 kg/m2), Group 2 (n = 24; BMI 30.0-39.9 kg/m2), and Group 3 (n = 29; BMI≥40.0 kg/m2). SAT biopsies were obtained from individuals who underwent bariatric surgery or elective abdominal surgery. Gene expressions were quantified using qPCR. Bioinformatics analyses were employed to investigate target genes and pathways related to miR-133a-3p. UCP2 and miR-133a-3p expressions were decreased in SAT of Groups 2 and 3 while IL18 was increased compared to Group 1. NLRP3 and IL1B expressions did not differ between groups; however, NLRP3 was positively correlated with waist circumference and excess weight. Bioinformatics analysis demonstrated that UCP2 and NLRP3 are targets of miR-133a-3p. In conclusion, UCP2 and miR-133a-3p expressions are downregulated in patients with obesity, while IL18 is upregulated. NRLP3 is correlated with waist circumference and weight excess.
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Affiliation(s)
- Mayara S Oliveira
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Universidade Federal do Rio Grande do Sul, Faculty of Medicine, Graduate Program of Medical Sciences: Endocrinology, Brazil
| | - Jakeline Rheinheimer
- Universidade Federal do Rio Grande do Sul, Faculty of Medicine, Graduate Program of Medical Sciences: Endocrinology, Brazil
| | - Milene Moehlecke
- Department of Endocrinology, Universidade Luterana do Brasil, Canoas, Rio Grande do Sul, Brazil
| | - Michelle Rodrigues
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Taís S Assmann
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Universidade Federal do Rio Grande do Sul, Faculty of Medicine, Graduate Program of Medical Sciences: Endocrinology, Brazil
| | - Cristiane B Leitão
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Universidade Federal do Rio Grande do Sul, Faculty of Medicine, Graduate Program of Medical Sciences: Endocrinology, Brazil
| | - Manoel R M Trindade
- Digestive Surgery Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Daisy Crispim
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Universidade Federal do Rio Grande do Sul, Faculty of Medicine, Graduate Program of Medical Sciences: Endocrinology, Brazil
| | - Bianca M de Souza
- Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Universidade Federal do Rio Grande do Sul, Faculty of Medicine, Graduate Program of Medical Sciences: Endocrinology, Brazil.
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Most J, Redman LM. Impact of calorie restriction on energy metabolism in humans. Exp Gerontol 2020; 133:110875. [DOI: 10.1016/j.exger.2020.110875] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 02/06/2020] [Accepted: 02/09/2020] [Indexed: 11/28/2022]
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Chu L, Steinberg A, Mehta M, O'Kane C, Toulany A, Langer JC, Hamilton JK. Resting Energy Expenditure and Metabolic Adaptation in Adolescents at 12 Months After Bariatric Surgery. J Clin Endocrinol Metab 2019; 104:2648-2656. [PMID: 30753542 DOI: 10.1210/jc.2018-02244] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 02/06/2019] [Indexed: 02/04/2023]
Abstract
BACKGROUND Evidence suggests that metabolic adaptation occurs after bariatric surgery such that resting energy expenditure (REE) declines more than accounted for by body weight or body composition changes in adults. Little is known about REE and metabolic adaptation among adolescents after bariatric surgery. OBJECTIVE To examine changes in REE and metabolic adaptation among adolescents at 12 months (12M) after bariatric surgery. SETTING Pediatric hospital, Canada. METHODS Adolescents undergoing Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) were followed. Bioelectrical impedance analysis and indirect calorimetry were completed to measure body composition and REE, respectively. Predicted REE was calculated using the Mifflin equation before and after bariatric surgery and a predictive equation using preoperative data. RESULTS Among 20 patients (15 girls), the mean age and body mass index at surgery were 17.2 ± 0.8 years and 48.7 ± 7.4 kg/m2, respectively. REE had decreased by 548.3 kcal/d at 12M postoperatively (P < 0.001). Metabolic adaptation, determined by two procedures, was negative and significantly different from baseline (P < 0.05). When stratified by surgery type, REE change at 12M was not significantly different (RYGB, -494.0 ± 260.9 kcal/d, n = 11; SG, -614.6 ± 344.4 kcal/d, n = 9; P = 0.384). Among 13 patients with REE data at 6 and 12M, no statistically significant difference was found (P = 0.368). CONCLUSIONS Predicted and measured REE was 19% and 25% lower at 12M, respectively, irrespective of bariatric surgery type. Metabolic adaptation might predispose adolescents to weight regain after bariatric surgery and warrants careful nutritional management and counseling.
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Affiliation(s)
- Lisa Chu
- SickKids Team Obesity Management Program, Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Alissa Steinberg
- SickKids Team Obesity Management Program, Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Michael Mehta
- SickKids Team Obesity Management Program, Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Carley O'Kane
- SickKids Team Obesity Management Program, Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Alene Toulany
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Division of Adolescent Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jacob C Langer
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of General and Thoracic Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jill K Hamilton
- SickKids Team Obesity Management Program, Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
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Abstract
One of the fundamental challenges in obesity research is to identify subjects prone to weight gain so that obesity and its comorbidities can be promptly prevented or treated. The principles of thermodynamics as applied to human body energetics demonstrate that susceptibility to weight gain varies among individuals as a result of interindividual differences in energy expenditure and energy intake, two factors that counterbalance one another and determine daily energy balance and, ultimately, body weight change. This review focuses on the variability among individuals in human metabolism that determines weight change. Conflicting results have been reported about the role of interindividual differences in energy metabolism during energy balance in relation to future weight change. However, recent studies have shown that metabolic responses to acute, short-term dietary interventions that create energy imbalance, such as low-protein overfeeding or fasting for 24 hours, may reveal the underlying metabolic phenotype that determines the degree of resistance to diet-induced weight loss or the propensity to spontaneous weight gain over time. Metabolically "thrifty" individuals, characterized by a predilection for saving energy in settings of undernutrition and dietary protein restriction, display a minimal increase in plasma fibroblast growth factor 21 concentrations in response to a low-protein overfeeding diet and tend to gain more weight over time compared with metabolically "spendthrift" individuals. Similarly, interindividual variability in the causal relationship between energy expenditure and energy intake ("energy sensing") and in the metabolic response to cold exposure (e.g., brown adipose tissue activation) seems, to some extent, to be indicative of individual propensity to weight gain. Thus, an increased understanding and the clinical characterization of phenotypic differences in energy metabolism among individuals (metabolic profile) may lead to new strategies to prevent weight gain or improve weight-loss interventions by targeted therapies on the basis of metabolic phenotype and susceptibility to obesity in individual persons.
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Affiliation(s)
- Paolo Piaggi
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, USA
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