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      Soluble Receptor for Advanced Glycation End Products (sRAGE) Isoforms Predict Changes in Resting Energy Expenditure in Adults with Obesity during Weight Loss

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          Abstract

          Background

          Accruing evidence indicates that accumulation of advanced glycation end products (AGEs) and activation of the receptor for AGEs (RAGE) play a significant role in obesity and type 2 diabetes. The concentrations of circulating RAGE isoforms, such as soluble RAGE (sRAGE), cleaved RAGE (cRAGE), and endogenous secretory RAGE (esRAGE), collectively sRAGE isoforms, may be implicit in weight loss and energy compensation resulting from caloric restriction.

          Objectives

          We aimed to evaluate whether baseline concentrations of sRAGE isoforms predicted changes (∆) in body composition [fat mass (FM), fat-free mass (FFM)], resting energy expenditure (REE), and adaptive thermogenesis (AT) during weight loss.

          Methods

          Data were collected during a behavioral weight loss intervention in adults with obesity. At baseline and 3 mo, participants were assessed for body composition (bioelectrical impedance analysis) and REE (indirect calorimetry), and plasma was assayed for concentrations of sRAGE isoforms (sRAGE, esRAGE, cRAGE). AT was calculated using various mathematical models that included measured and predicted REE. A linear regression model that adjusted for age, sex, glycated hemoglobin (HbA1c), and randomization arm was used to test the associations between sRAGE isoforms and metabolic outcomes.

          Results

          Participants ( n = 41; 70% female; mean ± SD age: 57 ± 11 y; BMI: 38.7 ± 3.4 kg/m 2) experienced modest and variable weight loss over 3 mo. Although baseline sRAGE isoforms did not predict changes in ∆FM or ∆FFM, all baseline sRAGE isoforms were positively associated with ∆REE at 3 mo. Baseline esRAGE was positively associated with AT in some, but not all, AT models. The association between sRAGE isoforms and energy expenditure was independent of HbA1c, suggesting that the relation was unrelated to glycemia.

          Conclusions

          This study demonstrates a novel link between RAGE and energy expenditure in human participants undergoing weight loss.

          This trial was registered at clinicaltrials.gov as NCT03336411.

          Abstract

          Soluble (s)RAGE isoforms, specifically endogenous secretory RAGE, predicts changes in resting energy expenditure in adults with obesity following weight loss.

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          Most cited references41

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          Personalized Nutrition by Prediction of Glycemic Responses.

          Elevated postprandial blood glucose levels constitute a global epidemic and a major risk factor for prediabetes and type II diabetes, but existing dietary methods for controlling them have limited efficacy. Here, we continuously monitored week-long glucose levels in an 800-person cohort, measured responses to 46,898 meals, and found high variability in the response to identical meals, suggesting that universal dietary recommendations may have limited utility. We devised a machine-learning algorithm that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in this cohort and showed that it accurately predicts personalized postprandial glycemic response to real-life meals. We validated these predictions in an independent 100-person cohort. Finally, a blinded randomized controlled dietary intervention based on this algorithm resulted in significantly lower postprandial responses and consistent alterations to gut microbiota configuration. Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences. VIDEO ABSTRACT.
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            Global burden of obesity in 2005 and projections to 2030.

            To estimate the overall prevalence and absolute burden of overweight and obesity in the world and in various regions in 2005 and to project the global burden in 2030. Pooling analysis. We identified sex- and age-specific prevalence of overweight and obesity in representative population samples from 106 countries, which cover approximately 88% of the world population, using MEDLINE and other computerized databases, supplemented by a manual search of references from retrieved articles. Sex- and age-specific prevalence of overweight and obesity were applied to the 2005 population to estimate the numbers of overweight and obese individuals in each country, each world region and the entire world. In addition, the prevalence, with and without adjusting for secular trends, were applied to the 2030 population projections to forecast the number of overweight and obese individuals in 2030. Overall, 23.2% (95% confidence interval 22.8-23.5%) of the world's adult population in 2005 was overweight (24.0% in men (23.4-24.5%) and 22.4% in women (21.9-22.9%)), and 9.8% (9.6-10.0%) was obese (7.7% in men (7.4-7.9%) and 11.9% in women (11.6-12.2%)). The estimated total numbers of overweight and obese adults in 2005 were 937 million (922-951 million) and 396 million (388-405 million), respectively. By 2030, the respective number of overweight and obese adults was projected to be 1.35 billion and 573 million individuals without adjusting for secular trends. If recent secular trends continue unabated, the absolute numbers were projected to total 2.16 billion overweight and 1.12 billion obese individuals. Overweight and obesity are important clinical and public health burdens worldwide. National programs for the prevention and treatment of overweight, obesity and related comorbidities and mortalities should be a public health priority.
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              New methods for calculating metabolic rate with special reference to protein metabolism.

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                Author and article information

                Contributors
                Journal
                Curr Dev Nutr
                Curr Dev Nutr
                cdn
                Current Developments in Nutrition
                Oxford University Press
                2475-2991
                May 2022
                29 March 2022
                29 March 2022
                : 6
                : 5
                : nzac046
                Affiliations
                Center for Healthful Behavior Change, Department of Population Health, New York University Langone Health , New York, NY, USA
                Division of Biostatistics, Department of Population Health, New York University Langone Health , New York, NY, USA
                Diabetes Research Program, Department of Medicine, New York University Langone Health , New York, NY, USA
                Division of Biostatistics, Department of Population Health, New York University Langone Health , New York, NY, USA
                Center for Healthful Behavior Change, Department of Population Health, New York University Langone Health , New York, NY, USA
                Center for Healthful Behavior Change, Department of Population Health, New York University Langone Health , New York, NY, USA
                Department of Nutrition, University of Nevada, Reno , Reno, NV, USA
                Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health , New York, NY, USA
                Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health , New York, NY, USA
                Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health , New York, NY, USA
                Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health , New York, NY, USA
                Department of Computer Science and Applied Mathematics, Weizmann Institute of Science , Rehovot, Israel
                Center for Healthful Behavior Change, Department of Population Health, New York University Langone Health , New York, NY, USA
                Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health , New York, NY, USA
                Diabetes Research Program, Department of Medicine, New York University Langone Health , New York, NY, USA
                Author notes
                Address correspondence to CJP (e-mail: collin.popp@ 123456nyulangone.org )
                Author information
                https://orcid.org/0000-0002-8288-7068
                https://orcid.org/0000-0001-8902-070X
                Article
                nzac046
                10.1093/cdn/nzac046
                9071542
                35542387
                5e871783-9ad4-4f98-99c0-c5dfb1e4cb2a
                © The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 31 January 2022
                : 17 March 2022
                : 24 March 2022
                Page count
                Pages: 10
                Funding
                Funded by: American Heart Association, DOI 10.13039/100000968;
                Award ID: 17SFRN33590133
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases, DOI 10.13039/100000062;
                Award ID: K08-DK117064
                Funded by: Korea National Institute of Health, DOI 10.13039/501100003653;
                Award ID: U54MD000538-15
                Award ID: K99MD012811
                Award ID: R00MD012811
                Award ID: P30DK111022
                Funded by: National Heart, Lung, and Blood Institute, DOI 10.13039/100000050;
                Award ID: T32HL098129
                Categories
                ORIGINAL RESEARCH
                Nutrition in Health and Disease
                AcademicSubjects/MED00060

                precision nutrition,caloric restriction,resting metabolic rate,metabolic adaptation,energy balance

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