Literature DB >> 27848941

Indirect calorimetry: an indispensable tool to understand and predict obesity.

Y Y Lam1,2, E Ravussin1.   

Abstract

Obesity is a physiological condition of chronic positive energy balance. While the regulation of energy metabolism varies widely among individuals, identifying those who are metabolically prone to weight gain and intervening accordingly is a key challenge for reversing the course of the obesity epidemic. Indirect calorimetry is the most commonly used method to measure energy expenditure in the research setting. By measuring oxygen consumption and carbon dioxide production, indirect calorimetry provides minute-by-minute energy expenditure data that makes it the most valuable tool to distinguish the various components of energy expenditure, that is, sleeping and resting metabolic rate, thermic effect of food and the energy cost of activity. Importantly, such measures also provide information on energy substrate utilization. Here we summarized some of the research that revealed resting metabolic rate, spontaneous physical activity and respiratory quotient as key metabolic predictors of weight gain and obesity. Recent studies using indirect calorimetry in response to mid-term fasting or overfeeding have identified 'thrifty' and 'spendthrift' phenotypes in people who differ in propensity to weight gain. We propose the use of indirect calorimetry data as a basis for personalized interventions that may be efficacious in slowing down the rise of global obesity.

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Year:  2016        PMID: 27848941     DOI: 10.1038/ejcn.2016.220

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  30 in total

1.  Determining the Accuracy and Reliability of Indirect Calorimeters Utilizing the Methanol Combustion Technique.

Authors:  Sepideh Kaviani; Dale A Schoeller; Eric Ravussin; Edward L Melanson; Sarah T Henes; Lara R Dugas; Ronald E Dechert; George Mitri; Paul F M Schoffelen; Pim Gubbels; Asa Tornberg; Stephen Garland; Marco Akkermans; Jamie A Cooper
Journal:  Nutr Clin Pract       Date:  2018-04       Impact factor: 3.080

Review 2.  Energy expenditure in the etiology of human obesity: spendthrift and thrifty metabolic phenotypes and energy-sensing mechanisms.

Authors:  P Piaggi; K L Vinales; A Basolo; F Santini; J Krakoff
Journal:  J Endocrinol Invest       Date:  2017-07-24       Impact factor: 4.256

3.  Reproducibility of the energy metabolism response to an oral glucose tolerance test: influence of a postcalorimetric correction procedure.

Authors:  Juan M A Alcantara; Guillermo Sanchez-Delgado; Lucas Jurado-Fasoli; Jose E Galgani; Idoia Labayen; Jonatan R Ruiz
Journal:  Eur J Nutr       Date:  2022-08-25       Impact factor: 4.865

4.  The loss of ERE-dependent ERα signaling potentiates the effects of maternal high-fat diet on energy homeostasis in female offspring fed an obesogenic diet.

Authors:  Troy A Roepke; Ali Yasrebi; Alejandra Villalobos; Elizabeth A Krumm; Jennifer A Yang; Kyle J Mamounis
Journal:  J Dev Orig Health Dis       Date:  2019-09-23       Impact factor: 2.401

5.  Sleep-disordered breathing in C57BL/6J mice with diet-induced obesity.

Authors:  Thomaz Fleury Curado; Huy Pho; Slava Berger; Candela Caballero-Eraso; Mi-Kyung Shin; Luiz Ubirajara Sennes; Luu Pham; Alan R Schwartz; Vsevolod Y Polotsky
Journal:  Sleep       Date:  2018-08-01       Impact factor: 5.849

6.  Absence of MyD88 from Skeletal Muscle Protects Female Mice from Inactivity-Induced Adiposity and Insulin Resistance.

Authors:  Ziad S Mahmassani; Paul T Reidy; Alec I McKenzie; Jonathan J Petrocelli; O'Connor Matthews; Naomi M de Hart; Patrick J Ferrara; Ryan M O'Connell; Katsuhiko Funai; Micah J Drummond
Journal:  Obesity (Silver Spring)       Date:  2020-02-28       Impact factor: 5.002

7.  Deep Brain Stimulation of the Hypothalamus Leads to Increased Metabolic Rate in Refractory Obesity.

Authors:  Alexander C Whiting; Elizabeth F Sutton; Corey T Walker; Jakub Godzik; Joshua S Catapano; Michael Y Oh; Nestor D Tomycz; Eric Ravussin; Donald M Whiting
Journal:  World Neurosurg       Date:  2018-10-11       Impact factor: 2.210

8.  Loss of ERα partially reverses the effects of maternal high-fat diet on energy homeostasis in female mice.

Authors:  Troy A Roepke; Ali Yasrebi; Alejandra Villalobos; Elizabeth A Krumm; Jennifer A Yang; Kyle J Mamounis
Journal:  Sci Rep       Date:  2017-07-25       Impact factor: 4.379

9.  Measuring Postprandial Metabolic Flexibility to Assess Metabolic Health and Disease.

Authors:  Elaine A Yu; Ngoc-Anh Le; Aryeh D Stein
Journal:  J Nutr       Date:  2021-11-02       Impact factor: 4.687

Review 10.  Assessment of energy expenditure: are calories measured differently for different diets?

Authors:  Guillermo Sanchez-Delgado; Eric Ravussin
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2020-09       Impact factor: 3.620

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