Nocturnal Fat Oxidation and Metabolic Flexibility of Young Male Indian Adults Using Indirect Calorimetry
Keywords:Nocturnal fat oxidation, metabolic flexibility, indirect calorimetry, Indian adults
AbstractIndian adults tend to inappropriately accumulate body fat even at low Body Mass Index (BMI). Usually, fat that is stored in the fed state is mobilized for energy during nocturnal fasting, thus achieving daily fat balance. This is called metabolic flexibility, which may be lost in some individuals leading to body fat accumulation. Measuring fat balance requires 24h measurement of fat oxidation, but nocturnal fat oxidation could be a reasonable surrogate. The variability of nocturnal fat oxidation is also unknown. A retrospective analysis on 24h fat oxidation in adult men (n=18) was carried out to test the former hypothesis, while the variability of nocturnal fat oxidation was measured prospectively in 5 adult men, who were fed the same diet for 2 days prior to the measurement. Whole-body indirect calorimetry was used for measuring Respiratory Quotient (RQ), energy expenditure and fat oxidation. In 24h analyses, nocturnal (0.44 ± 0.21 g/kg) was significantly higher than diurnal fat oxidation (0.24 ± 0.21 g/kg) and was 64.5% of the total 24h value. Nocturnal fat oxidation was positively correlated with 24h fat oxidation (r = 0.937; p<0.01) and inversely correlated with 24h fat balance (r = -0.850; p<0.01). Metabolic flexibility, measured as the Fed: Fasted RQ ratio, was negatively correlated with BMI (r = -0.226; p=0.366). The intra- and inter-individual variability of 12h nocturnal fat oxidation was low, at 4.7% and 7.2%, respectively. Nocturnal fat oxidation has a low variability when prior diets over 2 days are constant and the Fed: Fasted RQ ratio is an index of metabolic flexibility, which relates to BMI in young adults.
International Institute of Population Science. National Family Health Survey India 2015-2016: India fact sheet. Mumbai: Ministry of Health and Family Welfare. Government of India; 2016. Available from: http://rchiips.org/NFHS/pdf/NFHS4/India.pdf (accessed on 4th May, 2020)
Misra, A. Ethnic-specific criteria for classification of Body Mass Index: A perspective for Asian Indians and American diabetes association position statement. Diabetes. Technol. Ther., 2015, 17, 667-671. DOI: https://doi.org/10.1089/dia.2015.0007
Kesavachandran, C.N., Bihari,V. and Mathur, N. The normal range of body mass index with high body fat percentage among male residents of Lucknow city in north India. Ind. J. Med. Res., 2012, 135, 72-77. DOI: https://doi.org/10.4103/0971-5916.93427
Hellerstein, M.K. De novo lipogenesis in humans: Metabolic and regulatory aspects. Eur. J. Clin. Nutr., 1999, 53, S53-S65. DOI: https://doi.org/10.1038/sj.ejcn.1600744
Smith, R.L., Soeters, M.R., Wüst, R.C.I. and Houtkooper, R.H. Metabolic flexibility as an adaptation to energy resources and requirements in health and disease. Endocr. Rev., 2018, 39, 489-517. DOI: https://doi.org/10.1210/er.2017-00211
Berg, J.M., Tymoczko, J.L. and Stryer, L. Food intake and starvation induce metabolic changes. 5th edition. New York: W H Freeman; 2002.
Kelley, D.E., Goodpaster, B., Wing, R.R. and Simoneau, J.A. Skeletal muscle fatty acid metabolism in association with insulin resistance, obesity and weight loss. Am. J. Physiol.- Endocrinol. Metab., 1999, 277, 640-646. DOI: https://doi.org/10.1152/ajpendo.1999.277.6.E1130
Bessesen, D.H., Bull, S. and Cornier, M.A. Trafficking of dietary fat and resistance to obesity. Physiol. Behav., 2008, 94, 681-688. DOI: https://doi.org/10.1016/j.physbeh.2008.04.019
Battaglia, G.M., Zheng, D., Hickner, R.C. and Houmard, J.A. Effect of exercise training on metabolic flexibility in response to a high-fat diet in obese individuals. Am. J. Physiol.- Endocrinol. Metab., 2012, 303, E1440. DOI: https://doi.org/10.1152/ajpendo.00355.2012
Schmidt, S.L., Kealey, E.H., Horton, T.J., Vonkaenel, S. and Bessesen, D.H. The Effects of short-term overfeeding on energy expenditure and nutrient oxidation in obesity prone and obesity resistant humans. Int. J. Obes., 2013, 37, 1192-1197. DOI: https://doi.org/10.1038/ijo.2012.202
Rynders, C.A., Pereira, R.I., Bergouignan, A., Kealey, E.H. and Bessesen, D.H. Associations among dietary fat oxidation responses to overfeeding and weight gain in obesity-prone and resistant adults. Obes., 2018, 26, 1758-1766. DOI: https://doi.org/10.1002/oby.22321
Galgani, J.E., Moro, C. and Ravussin, E. Metabolic flexibility and insulin resistance. Am. J. Physiol.- Endocrinol. Metab., 2008, 295, 1009-1017. DOI: https://doi.org/10.1152/ajpendo.90558.2008
Elia, M. and Livesey, G. Energy expenditure and fuel selection in biological systems: The theory and practice of calculations based on indirect calorimetry and tracer methods. World. Rev. Nutr. Diet., 1992, 70, 68-131. DOI: https://doi.org/10.1159/000421672
Rynders, C.A., Blanc, S., DeJong, N., Bessesen, D.H. and Bergouignan, A. Sedentary behaviour is a key determinant of metabolic inflexibility. J. Physiol., 2018, 596, 1319-1330. DOI: https://doi.org/10.1113/JP273282
Kurpad, A.V., Raj, T., El-Khoury, A., Kuriyan, R., Maruthy, K., Borgonha, S., Chandukudlu, D., Regan, M.M. and Young, V.R. Daily requirement for and splanchnic uptake of leucine in healthy adult Indians. The Am. J. Clin. Nutr., 2001, 74, 747-755. DOI: https://doi.org/10.1093/ajcn/74.6.747
Kurpad, A.V., Regan, M.M., Raj, T., Varalakshmi, S., Gnanou, J., Thankachan, P. and Young, V.R. Leucine requirement and splanchnic uptake of leucine in chronically undernourished adult Indian subjects. The Am. J. Clin. Nutr., 2003, 77, 861-867. DOI: https://doi.org/10.1093/ajcn/77.4.861
Weir, J.B.D.V. New methods for calculating metabolic rate with special reference to protein metabolism. J. Physiol., 1949, 109, 1-9. DOI: https://doi.org/10.1113/jphysiol.1949.sp004363
Shetty, P., Sheela, M., Murgatroyd, P.R. and Kurpad, A.V. An open-circuit indirect whole body calorimeter for the continuous measurement of energy expenditure of man in the tropics. Ind. J. Med. Res., 1987, 85, 453-460.
Brown, D., Cole, T., Dauncey, M., Marrs, R. and Murgatroyd, P. Analysis of gaseous exchange in open-circuit indirect calorimetry. Med. Biol. Eng. Comput., 1984, 22, 333-338. DOI: https://doi.org/10.1007/BF02442102
Piers, L.S., Soares, M.J., Makan, T. and Shetty, P.S. Thermic effect of a meal : Methodology and variation in normal young adults. Br. J. Nutr., 1992, 67, 165-175. DOI: https://doi.org/10.1079/BJN19920020
Gonzalez, J.T., Veasey, R.C., Rumbold, P.L.S. and Stevenson, E.J. Consistency of metabolic responses and appetite sensations under postabsorptive and postprandial conditions. Appetite., 2012, 59, 228-233. DOI: https://doi.org/10.1016/j.appet.2012.02.043
Babu, R., Kuriyan, R., Thomas, T., Sambashivaiah, S. and Kurpad, A.V. Effect of increasing protein content at the evening meal followed by exercise on overnight nocturnal total energy expenditure, fat and carbohydrate oxidation in healthy young Indian men. Asia. Pac. J. Clin. Nutr., 2018, 27, 1077-1083.
Chen, K.Y., Smith, S., Ravussin, E., Krakoff, J., Plasqui, G., Tanaka, S., Murgatroyd, P., Brychta, R., Bock, C., Carnero, E., Schoffelen, P., Hatamoto, Y., Rynders, C. and Melanson, E.L. Room Indirect Calorimetry Operating and Reporting Standards (RICORS 1.0): A guide to conducting and reporting human whole-room calorimeter studies. Obes., 2020, 28, 1613-1625. DOI: https://doi.org/10.1002/oby.22928
Chwalibog, A. and Thorbek, G. Energy expenditure and oxidation of carbohydrate and fat in humans during day and night. Thermochim. Acta., 2002, 394, 247-252. DOI: https://doi.org/10.1016/S0040-6031(02)00252-6
Rynders, C.A., Bergouignan, A., Kealey, E. and Bessesen, D.H. Ability to adjust nocturnal fat oxidation in response to overfeeding predicts 5-year weight gain in adults. Obes., 2017, 25, 873-880. DOI: https://doi.org/10.1002/oby.21807
Fontvieille, A.M., Rising, R., Spraul, M., Larson, D.E. and Ravussin, E. Relationship between sleep stages and metabolic rate in humans. Am. J. Physiol.- Endocrinol. Metab., 1994, 267, E732-737. DOI: https://doi.org/10.1152/ajpendo.1994.267.5.E732
Katayose, Y., Tasaki, M., Ogata, H., Nakata, Y., Tokuyama, K. and Satoh, M. Metabolic rate and fuel utilization during sleep assessed by whole-body indirect calorimetry. Metabol., 2009, 58, 920-926. DOI: https://doi.org/10.1016/j.metabol.2009.02.025
Begaye, B., Vinales, K.L., Hollstein, T., Ando, T., Walter, M., Bogardus, C., Krakoff, J. and Piaggi, P. Impaired metabolic flexibility to high-fat overfeeding predicts future weight gain in healthy adults. Diabetes., 2020, 69, 181-192. DOI: https://doi.org/10.2337/db19-0719
Galgani, J. and Ravussin, E. Energy metabolism, fuel selection and body weight regulation. Int. J. Obes., 2008, 32, S109-S119. DOI: https://doi.org/10.1038/ijo.2008.246
Kapoor, M.P., Sugita, M., Fukuzawa, Y. and Okubo, T. Physiological effects of epigallocatechin 3-gallate (EGCG) on energy expenditure for prospective fat oxidation in humans: A systematic review and meta-analysis. J. Nutr. Biochem., 2017, 43, 1-10. DOI: https://doi.org/10.1016/j.jnutbio.2016.10.013
Mika, A., Macaluso, F., Barone, R., Di Felice, V. and Sledzinski, T. Effect of exercise on fatty acid metabolism and adipokine secretion in adipose tissue. Front. Physiol., 2019, 10, 26. DOI: https://doi.org/10.3389/fphys.2019.00026
Oliveira, C.L.P., Boulé, N.G., Berg, A., Sharma, A.M., Elliott, S.A., Siervo, M., Ghosh, S. and Prado, C.M. Consumption of a high-protein meal replacement leads to higher fat oxidation, suppression of hunger and improved metabolic profile after an exercise session. Nutr., 2021, 13, 1-18. DOI: https://doi.org/10.3390/nu13010155
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