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Published in: BMC Endocrine Disorders 1/2021

01-12-2021 | Obesity | Research

Variants of the cry 1 gene may influence the effect of fat intake on resting metabolic rate in women with overweight of obesity: a cross-sectional study

Authors: Atieh Mirzababaei, Elnaz Daneshzad, Farideh Shiraseb, Sanaz Pourreza, Leila Setayesh, Cain C. T. Clark, Hadith Tangestani, Faezeh Abaj, Habib Yarizadeh, Khadijeh Mirzaei

Published in: BMC Endocrine Disorders | Issue 1/2021

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Abstract

Background

Previous studies have shown that the minor allele (C allele) for Cry 1 rs2287161, may be associated with increased risk of cardiovascular diseases (CVDs). Low resting metabolic rate (RMR) caused by the diet has been shown to have, potentially, unfavorable effects on obesity. This study sought to investigate the interactions between the Cry 1 Gene and fat intake on RMR in women with overweight of obesity.

Methods

This comparative cross-sectional study was conducted on 377 Iranian women with overweight of obesity. A food frequency questionnaire (FFQ), with 147 items, was used to assess dietary intake. Individuals were categorized into two groups based on the rs2287161 genotype. Body composition, dietary intake, and RMR were assessed for all participants.

Results

There was a significant difference between genotypes for fasting blood sugar (FBS) (P = 0.04), fat free mass (FFM) (P = 0.0009), RMR per FFM (P = 0.05), RMR per body mass index (BMI) (P = 0.02), and RMR deviation (P = 0.01). Our findings also showed significant interactions between total fat and C allele carrier group on RMR per kg body weight, RMR per body surface area (BSA), RMR per FFM, and RMR deviation (P for interaction < 0.1), in addition to a significant interaction between CC + CG group genotype and polyunsaturated fatty acids (PUFA) intake on RMR per BMI (P for interaction =0.00) and RMR per kg (P for interaction = 0.02) and RMR per BSA (P = 0.07), compared to the GG group, after control for confounder factors.

Conclusion

These results highlight that dietary compositions, gene variants, and their interaction, should be acutely considered in lower RMR.
Literature
2.
3.
go back to reference Ameye H, Swinnen J. Obesity, income and gender: the changing global relationship. Global Food Security. 2019;23:267–81.CrossRef Ameye H, Swinnen J. Obesity, income and gender: the changing global relationship. Global Food Security. 2019;23:267–81.CrossRef
4.
go back to reference Wells JC, Marphatia AA, Cole TJ, McCoy D. Associations of economic and gender inequality with global obesity prevalence: understanding the female excess. Soc Sci Med. 2012;75(3):482–90.PubMedCrossRef Wells JC, Marphatia AA, Cole TJ, McCoy D. Associations of economic and gender inequality with global obesity prevalence: understanding the female excess. Soc Sci Med. 2012;75(3):482–90.PubMedCrossRef
5.
go back to reference Poehlman E, Toth M, Ades P, Calles-Escandon J. Gender differences in resting metabolic rate and noradrenaline kinetics in older individuals. Eur J Clin Investig. 1997;27(1):23–8.CrossRef Poehlman E, Toth M, Ades P, Calles-Escandon J. Gender differences in resting metabolic rate and noradrenaline kinetics in older individuals. Eur J Clin Investig. 1997;27(1):23–8.CrossRef
6.
go back to reference Organization WH. World Health Organization obesity and overweight fact sheet, vol. 2019; 2016. Organization WH. World Health Organization obesity and overweight fact sheet, vol. 2019; 2016.
7.
go back to reference Anandacoomarasamy A, Caterson I, Sambrook P, Fransen M, March L. The impact of obesity on the musculoskeletal system. Int J Obes. 2008;32(2):211–22.CrossRef Anandacoomarasamy A, Caterson I, Sambrook P, Fransen M, March L. The impact of obesity on the musculoskeletal system. Int J Obes. 2008;32(2):211–22.CrossRef
8.
go back to reference Lauby-Secretan B, Scoccianti C, Loomis D, Grosse Y, Bianchini F, Straif K. Body fatness and cancer—viewpoint of the IARC working group. N Engl J Med. 2016;375(8):794–8.PubMedPubMedCentralCrossRef Lauby-Secretan B, Scoccianti C, Loomis D, Grosse Y, Bianchini F, Straif K. Body fatness and cancer—viewpoint of the IARC working group. N Engl J Med. 2016;375(8):794–8.PubMedPubMedCentralCrossRef
10.
go back to reference Wharton S, Lau DC, Vallis M, Sharma AM, Biertho L, Campbell-Scherer D, et al. Obesity in adults: a clinical practice guideline. CMAJ. 2020;192(31):E875–E91.PubMedPubMedCentralCrossRef Wharton S, Lau DC, Vallis M, Sharma AM, Biertho L, Campbell-Scherer D, et al. Obesity in adults: a clinical practice guideline. CMAJ. 2020;192(31):E875–E91.PubMedPubMedCentralCrossRef
13.
go back to reference Swinburn BA, Caterson I, Seidell JC, James WPT. Diet, nutrition and the prevention of excess weight gain and obesity. Public Health Nutr. 2004;7(1a):123–46.PubMedCrossRef Swinburn BA, Caterson I, Seidell JC, James WPT. Diet, nutrition and the prevention of excess weight gain and obesity. Public Health Nutr. 2004;7(1a):123–46.PubMedCrossRef
14.
go back to reference Buscemi S, Verga S, Caimi G, Cerasola G. Low relative resting metabolic rate and body weight gain in adult Caucasian Italians. Int J Obes. 2005;29(3):287–91.CrossRef Buscemi S, Verga S, Caimi G, Cerasola G. Low relative resting metabolic rate and body weight gain in adult Caucasian Italians. Int J Obes. 2005;29(3):287–91.CrossRef
15.
go back to reference Buscemi S, Verga S, Caimi G, Cerasola G. A low resting metabolic rate is associated with metabolic syndrome. Clin Nutr. 2007;26(6):806–9.PubMedCrossRef Buscemi S, Verga S, Caimi G, Cerasola G. A low resting metabolic rate is associated with metabolic syndrome. Clin Nutr. 2007;26(6):806–9.PubMedCrossRef
17.
go back to reference Levine JA. Non-exercise activity thermogenesis (NEAT). Best Pract Res Clin Endocrinol Metab. 2002;16(4):679–702.PubMedCrossRef Levine JA. Non-exercise activity thermogenesis (NEAT). Best Pract Res Clin Endocrinol Metab. 2002;16(4):679–702.PubMedCrossRef
18.
go back to reference Oussaada SM, van Galen KA, Cooiman MI, Kleinendorst L, Hazebroek EJ, van Haelst MM, et al. The pathogenesis of obesity. Metabolism. 2019;92:26–36.PubMedCrossRef Oussaada SM, van Galen KA, Cooiman MI, Kleinendorst L, Hazebroek EJ, van Haelst MM, et al. The pathogenesis of obesity. Metabolism. 2019;92:26–36.PubMedCrossRef
19.
go back to reference Hopkins M, Finlayson G, Duarte C, Gibbons C, Johnstone AM, Whybrow S, et al. Biological and psychological mediators of the relationships between fat mass, fat-free mass and energy intake. Int J Obes. 2019;43(2):233–42.CrossRef Hopkins M, Finlayson G, Duarte C, Gibbons C, Johnstone AM, Whybrow S, et al. Biological and psychological mediators of the relationships between fat mass, fat-free mass and energy intake. Int J Obes. 2019;43(2):233–42.CrossRef
20.
go back to reference McNeil J, Lamothe G, Cameron JD, Riou M-È, Cadieux S, Lafrenière J, et al. Investigating predictors of eating: is resting metabolic rate really the strongest proxy of energy intake? Am J Clin Nutr. 2017;106(5):1206–12.PubMed McNeil J, Lamothe G, Cameron JD, Riou M-È, Cadieux S, Lafrenière J, et al. Investigating predictors of eating: is resting metabolic rate really the strongest proxy of energy intake? Am J Clin Nutr. 2017;106(5):1206–12.PubMed
21.
go back to reference Hirsch KR, Smith-Ryan AE, Blue MN, Mock MG, Trexler ET. Influence of segmental body composition and adiposity hormones on resting metabolic rate and substrate utilization in overweight and obese adults. J Endocrinol Investig. 2017;40(6):635–43.CrossRef Hirsch KR, Smith-Ryan AE, Blue MN, Mock MG, Trexler ET. Influence of segmental body composition and adiposity hormones on resting metabolic rate and substrate utilization in overweight and obese adults. J Endocrinol Investig. 2017;40(6):635–43.CrossRef
22.
go back to reference Buchholz AC, Rafii M, Pencharz PB. Is resting metabolic rate different between men and women? Br J Nutr. 2001;86(6):641–6.PubMedCrossRef Buchholz AC, Rafii M, Pencharz PB. Is resting metabolic rate different between men and women? Br J Nutr. 2001;86(6):641–6.PubMedCrossRef
23.
go back to reference Duguay D, Cermakian N. The crosstalk between physiology and circadian clock proteins. Chronobiol Int. 2009;26(8):1479–513.PubMedCrossRef Duguay D, Cermakian N. The crosstalk between physiology and circadian clock proteins. Chronobiol Int. 2009;26(8):1479–513.PubMedCrossRef
24.
go back to reference Gomez-Abellan P, Hernandez-Morante J, Lujan J, Madrid J, Garaulet M. Clock genes are implicated in the human metabolic syndrome. Int J Obes. 2008;32(1):121–8.CrossRef Gomez-Abellan P, Hernandez-Morante J, Lujan J, Madrid J, Garaulet M. Clock genes are implicated in the human metabolic syndrome. Int J Obes. 2008;32(1):121–8.CrossRef
25.
go back to reference Dashti HS, Smith CE, Lee Y-C, Parnell LD, Lai C-Q, Arnett DK, et al. CRY1 circadian gene variant interacts with carbohydrate intake for insulin resistance in two independent populations: Mediterranean and north American. Chronobiol Int. 2014;31(5):660–7.PubMedPubMedCentralCrossRef Dashti HS, Smith CE, Lee Y-C, Parnell LD, Lai C-Q, Arnett DK, et al. CRY1 circadian gene variant interacts with carbohydrate intake for insulin resistance in two independent populations: Mediterranean and north American. Chronobiol Int. 2014;31(5):660–7.PubMedPubMedCentralCrossRef
26.
go back to reference Krishnaiah SY, Wu G, Altman BJ, Growe J, Rhoades SD, Coldren F, et al. Clock regulation of metabolites reveals coupling between transcription and metabolism. Cell Metab. 2017;25(4):961–74. e4.PubMedPubMedCentralCrossRef Krishnaiah SY, Wu G, Altman BJ, Growe J, Rhoades SD, Coldren F, et al. Clock regulation of metabolites reveals coupling between transcription and metabolism. Cell Metab. 2017;25(4):961–74. e4.PubMedPubMedCentralCrossRef
27.
go back to reference Sun S, Zhou L, Yu Y, Zhang T, Wang M. Knocking down clock control gene CRY1 decreases adipogenesis via canonical Wnt/β-catenin signaling pathway. Biochem Biophys Res Commun. 2018;506(3):746–53.PubMedCrossRef Sun S, Zhou L, Yu Y, Zhang T, Wang M. Knocking down clock control gene CRY1 decreases adipogenesis via canonical Wnt/β-catenin signaling pathway. Biochem Biophys Res Commun. 2018;506(3):746–53.PubMedCrossRef
29.
go back to reference Honma K, Hikosaka M, Mochizuki K, Goda T. Loss of circadian rhythm of circulating insulin concentration induced by high-fat diet intake is associated with disrupted rhythmic expression of circadian clock genes in the liver. Metabolism. 2016;65(4):482–91.PubMedCrossRef Honma K, Hikosaka M, Mochizuki K, Goda T. Loss of circadian rhythm of circulating insulin concentration induced by high-fat diet intake is associated with disrupted rhythmic expression of circadian clock genes in the liver. Metabolism. 2016;65(4):482–91.PubMedCrossRef
30.
go back to reference Barclay JL, Shostak A, Leliavski A, Tsang AH, Jöhren O, Müller-Fielitz H, et al. High-fat diet-induced hyperinsulinemia and tissue-specific insulin resistance in cry-deficient mice. Am J Physiol Endocrinol Metab. 2013;304(10):E1053–E63.PubMedCrossRef Barclay JL, Shostak A, Leliavski A, Tsang AH, Jöhren O, Müller-Fielitz H, et al. High-fat diet-induced hyperinsulinemia and tissue-specific insulin resistance in cry-deficient mice. Am J Physiol Endocrinol Metab. 2013;304(10):E1053–E63.PubMedCrossRef
31.
go back to reference Scheer FA, Hilton MF, Mantzoros CS, Shea SA. Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc Natl Acad Sci. 2009;106(11):4453–8.PubMedPubMedCentralCrossRef Scheer FA, Hilton MF, Mantzoros CS, Shea SA. Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc Natl Acad Sci. 2009;106(11):4453–8.PubMedPubMedCentralCrossRef
32.
go back to reference Mirzaei K, Xu M, Qi Q, De Jonge L, Bray GA, Sacks F, et al. Variants in glucose-and circadian rhythm–related genes affect the response of energy expenditure to weight-loss diets: the POUNDS LOST trial. Am J Clin Nutr. 2014;99(2):392–9.PubMedCrossRef Mirzaei K, Xu M, Qi Q, De Jonge L, Bray GA, Sacks F, et al. Variants in glucose-and circadian rhythm–related genes affect the response of energy expenditure to weight-loss diets: the POUNDS LOST trial. Am J Clin Nutr. 2014;99(2):392–9.PubMedCrossRef
33.
go back to reference Laermans J, Depoortere I. Chronobesity: role of the circadian system in the obesity epidemic. Obes Rev. 2016;17(2):108–25.PubMedCrossRef Laermans J, Depoortere I. Chronobesity: role of the circadian system in the obesity epidemic. Obes Rev. 2016;17(2):108–25.PubMedCrossRef
34.
go back to reference Mikulska AA, Grzelak T, Pelczyńska M, Bogdański P, Czyżewska K. Assessment of selected CLOCK proteins (CLOCK, CRY1) and their relationship with biochemical, anthropometric and lifestyle parameters in hypertensive patients; 2020. Mikulska AA, Grzelak T, Pelczyńska M, Bogdański P, Czyżewska K. Assessment of selected CLOCK proteins (CLOCK, CRY1) and their relationship with biochemical, anthropometric and lifestyle parameters in hypertensive patients; 2020.
35.
go back to reference Janochova K, Haluzik M, Buzga M. Visceral fat and insulin resistance--what we know? Biomed Pap Med Fac Palacky Univ Olomouc. 2019;163(1). Janochova K, Haluzik M, Buzga M. Visceral fat and insulin resistance--what we know? Biomed Pap Med Fac Palacky Univ Olomouc. 2019;163(1).
36.
go back to reference Sherman H, Genzer Y, Cohen R, Chapnik N, Madar Z, Froy O. Timed high-fat diet resets circadian metabolism and prevents obesity. FASEB J. 2012;26(8):3493–502.PubMedCrossRef Sherman H, Genzer Y, Cohen R, Chapnik N, Madar Z, Froy O. Timed high-fat diet resets circadian metabolism and prevents obesity. FASEB J. 2012;26(8):3493–502.PubMedCrossRef
37.
go back to reference Engin A. Circadian rhythms in diet-induced obesity. Obes Lipotoxicity. 2017;960:19–52.CrossRef Engin A. Circadian rhythms in diet-induced obesity. Obes Lipotoxicity. 2017;960:19–52.CrossRef
38.
go back to reference Weyer C, Bogardus C, Pratley RE. Metabolic factors contributing to increased resting metabolic rate and decreased insulin-induced thermogenesis during the development of type 2 diabetes. Diabetes. 1999;48(8):1607–14.PubMedCrossRef Weyer C, Bogardus C, Pratley RE. Metabolic factors contributing to increased resting metabolic rate and decreased insulin-induced thermogenesis during the development of type 2 diabetes. Diabetes. 1999;48(8):1607–14.PubMedCrossRef
39.
go back to reference Drabsch T, Holzapfel C, Stecher L, Petzold J, Skurk T, Hauner H. Associations between C-reactive protein, insulin sensitivity, and resting metabolic rate in adults: a mediator analysis. Front Endocrinol. 2018;9:556.CrossRef Drabsch T, Holzapfel C, Stecher L, Petzold J, Skurk T, Hauner H. Associations between C-reactive protein, insulin sensitivity, and resting metabolic rate in adults: a mediator analysis. Front Endocrinol. 2018;9:556.CrossRef
41.
go back to reference Fung TT, Hu FB, Pereira MA, Liu S, Stampfer MJ, Colditz GA, et al. Whole-grain intake and the risk of type 2 diabetes: a prospective study in men. Am J Clin Nutr. 2002;76(3):535–40.PubMedCrossRef Fung TT, Hu FB, Pereira MA, Liu S, Stampfer MJ, Colditz GA, et al. Whole-grain intake and the risk of type 2 diabetes: a prospective study in men. Am J Clin Nutr. 2002;76(3):535–40.PubMedCrossRef
42.
go back to reference Toorang F, Sasanfar B, Esmaillzadeh A, Ebrahimpour-Koujan S, Zendehdel K. Comparison of validity of the Food Frequency Questionnaire and the Diet History Questionnaire for assessment of energy and nutrients intakes in an Iranian population. East Mediterr Health J. 2020;26(9). Toorang F, Sasanfar B, Esmaillzadeh A, Ebrahimpour-Koujan S, Zendehdel K. Comparison of validity of the Food Frequency Questionnaire and the Diet History Questionnaire for assessment of energy and nutrients intakes in an Iranian population. East Mediterr Health J. 2020;26(9).
43.
go back to reference Ghaffarpour M, Houshiar-Rad A, Kianfar H. The manual for household measures, cooking yields factors and edible portion of foods, vol. 7: Tehran, Nashre Olume Keshavarzy; 1999. p. 213. Ghaffarpour M, Houshiar-Rad A, Kianfar H. The manual for household measures, cooking yields factors and edible portion of foods, vol. 7: Tehran, Nashre Olume Keshavarzy; 1999. p. 213.
44.
go back to reference Hasson RE, Howe CA, Jones BL, Freedson PS. Accuracy of four resting metabolic rate prediction equations: effects of sex, body mass index, age, and race/ethnicity. J Sci Med Sport. 2011;14(4):344–51.PubMedCrossRef Hasson RE, Howe CA, Jones BL, Freedson PS. Accuracy of four resting metabolic rate prediction equations: effects of sex, body mass index, age, and race/ethnicity. J Sci Med Sport. 2011;14(4):344–51.PubMedCrossRef
45.
go back to reference Mirzaei K, Hossein-Nezhad A, Chamari M, Shahbazi S. Evidence of a role of ANGPTL6 in resting metabolic rate and its potential application in treatment of obesity. Minerva Endocrinol. 2011;36(1):13–21.PubMed Mirzaei K, Hossein-Nezhad A, Chamari M, Shahbazi S. Evidence of a role of ANGPTL6 in resting metabolic rate and its potential application in treatment of obesity. Minerva Endocrinol. 2011;36(1):13–21.PubMed
46.
go back to reference Hagströmer M, Oja P, Sjöström M. The international physical activity questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 2006;9(6):755–62.PubMedCrossRef Hagströmer M, Oja P, Sjöström M. The international physical activity questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 2006;9(6):755–62.PubMedCrossRef
47.
go back to reference Patke A, Murphy PJ, Onat OE, Krieger AC, Özçelik T, Campbell SS, et al. Mutation of the human circadian clock gene CRY1 in familial delayed sleep phase disorder. Cell. 2017;169(2):203–15. e13.PubMedPubMedCentralCrossRef Patke A, Murphy PJ, Onat OE, Krieger AC, Özçelik T, Campbell SS, et al. Mutation of the human circadian clock gene CRY1 in familial delayed sleep phase disorder. Cell. 2017;169(2):203–15. e13.PubMedPubMedCentralCrossRef
49.
go back to reference Herrera BM, Lindgren CM. The genetics of obesity. Curr Diabetes Rep. 2010;10(6):498–505.CrossRef Herrera BM, Lindgren CM. The genetics of obesity. Curr Diabetes Rep. 2010;10(6):498–505.CrossRef
50.
go back to reference Mirzaei K, Xu M, Qi Q, de Jonge L, Bray GA, Sacks F, et al. Variants in glucose- and circadian rhythm-related genes affect the response of energy expenditure to weight-loss diets: the POUNDS LOST trial. Am J Clin Nutr. 2014;99(2):392–9.PubMedCrossRef Mirzaei K, Xu M, Qi Q, de Jonge L, Bray GA, Sacks F, et al. Variants in glucose- and circadian rhythm-related genes affect the response of energy expenditure to weight-loss diets: the POUNDS LOST trial. Am J Clin Nutr. 2014;99(2):392–9.PubMedCrossRef
51.
go back to reference de Luis DA, Izaola O, Primo D, Aller R. Dietary-fat effect of the rs10830963 polymorphism in MTNR1B on insulin resistance in response to 3 months weight-loss diets. Endocrinol Diabetes Nutr. 2020;67(1):43–52.CrossRef de Luis DA, Izaola O, Primo D, Aller R. Dietary-fat effect of the rs10830963 polymorphism in MTNR1B on insulin resistance in response to 3 months weight-loss diets. Endocrinol Diabetes Nutr. 2020;67(1):43–52.CrossRef
52.
go back to reference Jonsson A, Ladenvall C, Ahluwalia TS, Kravic J, Krus U, Taneera J, et al. Effects of common genetic variants associated with type 2 diabetes and glycemic traits on α- and β-cell function and insulin action in humans. Diabetes. 2013;62(8):2978–83.PubMedPubMedCentralCrossRef Jonsson A, Ladenvall C, Ahluwalia TS, Kravic J, Krus U, Taneera J, et al. Effects of common genetic variants associated with type 2 diabetes and glycemic traits on α- and β-cell function and insulin action in humans. Diabetes. 2013;62(8):2978–83.PubMedPubMedCentralCrossRef
53.
go back to reference Meng Y, Groth SW, Li D. The Association between Obesity-Risk Genes and Gestational Weight Gain Is Modified by Dietary Intake in African American Women. J Nutr Metab. 2018;2018:5080492. Meng Y, Groth SW, Li D. The Association between Obesity-Risk Genes and Gestational Weight Gain Is Modified by Dietary Intake in African American Women. J Nutr Metab. 2018;2018:5080492.
54.
go back to reference Moradi S, Mirzaei K, Maghbooli Z, Abdurahman AA, Keshavarz SA. Variants in the PPARGC1A gene may influence the effect of fat intake on resting metabolic rate in obese women. Lipids. 2018;53(3):291–300.PubMedCrossRef Moradi S, Mirzaei K, Maghbooli Z, Abdurahman AA, Keshavarz SA. Variants in the PPARGC1A gene may influence the effect of fat intake on resting metabolic rate in obese women. Lipids. 2018;53(3):291–300.PubMedCrossRef
55.
go back to reference Sun L, Wang Y, Song Y, Cheng XR, Xia S, Rahman MR, et al. Resveratrol restores the circadian rhythmic disorder of lipid metabolism induced by high-fat diet in mice. Biochem Biophys Res Commun. 2015;458(1):86–91.PubMedCrossRef Sun L, Wang Y, Song Y, Cheng XR, Xia S, Rahman MR, et al. Resveratrol restores the circadian rhythmic disorder of lipid metabolism induced by high-fat diet in mice. Biochem Biophys Res Commun. 2015;458(1):86–91.PubMedCrossRef
56.
go back to reference Cano P, Jiménez-Ortega V, Larrad A, Reyes Toso CF, Cardinali DP, Esquifino AI. Effect of a high-fat diet on 24-h pattern of circulating levels of prolactin, luteinizing hormone, testosterone, corticosterone, thyroid-stimulating hormone and glucose, and pineal melatonin content, in rats. Endocrine. 2008;33(2):118–25.PubMedCrossRef Cano P, Jiménez-Ortega V, Larrad A, Reyes Toso CF, Cardinali DP, Esquifino AI. Effect of a high-fat diet on 24-h pattern of circulating levels of prolactin, luteinizing hormone, testosterone, corticosterone, thyroid-stimulating hormone and glucose, and pineal melatonin content, in rats. Endocrine. 2008;33(2):118–25.PubMedCrossRef
57.
go back to reference Jobgen W, Fu WJ, Gao H, Li P, Meininger CJ, Smith SB, et al. High fat feeding and dietary L-arginine supplementation differentially regulate gene expression in rat white adipose tissue. Amino Acids. 2009;37(1):187–98.PubMedCrossRef Jobgen W, Fu WJ, Gao H, Li P, Meininger CJ, Smith SB, et al. High fat feeding and dietary L-arginine supplementation differentially regulate gene expression in rat white adipose tissue. Amino Acids. 2009;37(1):187–98.PubMedCrossRef
58.
go back to reference Choudhury M, Jonscher KR, Friedman JE. Reduced mitochondrial function in obesity-associated fatty liver: SIRT3 takes on the fat. Aging. 2011;3(2):175–8.PubMedPubMedCentralCrossRef Choudhury M, Jonscher KR, Friedman JE. Reduced mitochondrial function in obesity-associated fatty liver: SIRT3 takes on the fat. Aging. 2011;3(2):175–8.PubMedPubMedCentralCrossRef
59.
go back to reference Knauf C, Cani PD, Ait-Belgnaoui A, Benani A, Dray C, Cabou C, et al. Brain glucagon-like peptide 1 signaling controls the onset of high-fat diet-induced insulin resistance and reduces energy expenditure. Endocrinology. 2008;149(10):4768–77.PubMedCrossRef Knauf C, Cani PD, Ait-Belgnaoui A, Benani A, Dray C, Cabou C, et al. Brain glucagon-like peptide 1 signaling controls the onset of high-fat diet-induced insulin resistance and reduces energy expenditure. Endocrinology. 2008;149(10):4768–77.PubMedCrossRef
60.
go back to reference Mitra SR, Tan PY, Amini F. Association of ADRB2 rs1042713 with obesity and obesity-related phenotypes and its interaction with dietary fat in modulating Glycaemic indices in Malaysian adults. J Nutr Metabolism. 2019;2019:8718795.CrossRef Mitra SR, Tan PY, Amini F. Association of ADRB2 rs1042713 with obesity and obesity-related phenotypes and its interaction with dietary fat in modulating Glycaemic indices in Malaysian adults. J Nutr Metabolism. 2019;2019:8718795.CrossRef
61.
go back to reference Imamura F, Micha R, Wu JH, de Oliveira Otto MC, Otite FO. Effects of Saturated Fat, Polyunsaturated Fat, Monounsaturated Fat, and Carbohydrate on Glucose-Insulin Homeostasis: A Systematic Review and Meta-analysis of Randomised Controlled Feeding Trials. PLoS Med. 2016;13(7):e1002087. Imamura F, Micha R, Wu JH, de Oliveira Otto MC, Otite FO. Effects of Saturated Fat, Polyunsaturated Fat, Monounsaturated Fat, and Carbohydrate on Glucose-Insulin Homeostasis: A Systematic Review and Meta-analysis of Randomised Controlled Feeding Trials. PLoS Med. 2016;13(7):e1002087.
62.
go back to reference Coelho OGL, da Silva BP, Rocha D, Lopes LL, Alfenas RCG. Polyunsaturated fatty acids and type 2 diabetes: impact on the glycemic control mechanism. Crit Rev Food Sci Nutr. 2017;57(17):3614–9.PubMedCrossRef Coelho OGL, da Silva BP, Rocha D, Lopes LL, Alfenas RCG. Polyunsaturated fatty acids and type 2 diabetes: impact on the glycemic control mechanism. Crit Rev Food Sci Nutr. 2017;57(17):3614–9.PubMedCrossRef
Metadata
Title
Variants of the cry 1 gene may influence the effect of fat intake on resting metabolic rate in women with overweight of obesity: a cross-sectional study
Authors
Atieh Mirzababaei
Elnaz Daneshzad
Farideh Shiraseb
Sanaz Pourreza
Leila Setayesh
Cain C. T. Clark
Hadith Tangestani
Faezeh Abaj
Habib Yarizadeh
Khadijeh Mirzaei
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Endocrine Disorders / Issue 1/2021
Electronic ISSN: 1472-6823
DOI
https://doi.org/10.1186/s12902-021-00860-0

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