Clinical Nutrition Research

The Korean Society of Clinical Nutrition (한국임상영양학회)
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Positive Interaction Between CG, CC Genotypes of Cryptochrome Circadian Clocks 1, and Energy-Adjusted Dietary Inflammatory Index on High Sensitivity C-Reactive Protein Level in Women With Central Obesity

  • Elaheh Asgari (Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)) ;
  • Farideh Shiraseb (Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)) ;
  • Atieh Mirzababaei (Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)) ;
  • Hadith Tangestani (Department of Nutrition, Persian Gulf Tropical Medicine Research Center, Bushehr University of Medical Sciences) ;
  • Khadijeh Mirzaei (Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS))
  • Received : 2022.05.11
  • Accepted : 2022.10.30
  • Published : 2023.01.31
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Abstract

Creating a complex balance between dietary composition, circadian rhythm, and the hemostasis control of energy is important for managing diseases. Therefore, we aimed to determine the interaction between cryptochrome circadian clocks 1 polymorphism and energy-adjusted dietary inflammatory index (E-DII) on high-sensitivity C-reactive protein in women with central obesity. This cross-sectional study recruited 220 Iranian women aged 18-45 with central obesity. The 147-item semi-quantitative food frequency questionnaire was used to assess the dietary intakes, and the E-DII score was calculated. Anthropometric and biochemical measurements were determined. By polymerase chain response-restricted length polymorphism method, cryptochrome circadian clocks 1 polymorphism was assigned. Participants were categorized into three groups based on the E-DII score, then categorized according to cryptochrome circadian clocks 1 genotypes. The mean and standard deviation of age, BMI, and high-sensitivity C-reactive protein (hs-CRP) were 35.61 ± 9.57 years, 30.97 ± 4.16 kg/m2, and 4.82 ± 5.16 mg/dL, respectively. The interaction of the CG genotype and E-DII score had a significant association with higher hs-CRP level compared to GG genotype as the reference group (β, 1.19; 95% CI, 0.11-2.27; p value, 0.03). There was a marginally significant association between the interaction of the CC genotype and the E-DII score with higher hs-CRP level compared to the GG genotype as the reference group (β, 0.85; 95% CI, -0.15 to 1.86; p value, 0.05). There is probably positive interaction between CG, CC genotypes of cryptochrome circadian clocks 1, and E-DII score on the high-sensitivity C-reactive protein level in women with central obesity.

Keywords

Acknowledgement

We are extremely grateful to all the participants who took part in this study and the school of Nutritional and Dietetics at Tehran University of medical sciences.

References

  1. Bertoli S, Leone A, Vignati L, Bedogni G, Martinez-Gonzalez MA, Bes-Rastrollo M, Spadafranca A, Vanzulli A, Battezzati A. Adherence to the Mediterranean diet is inversely associated with visceral abdominal tissue in Caucasian subjects. Clin Nutr 2015;34:1266-72. 
  2. Wong MC, Huang J, Wang J, Chan PS, Lok V, Chen X, Leung C, Wang HH, Lao XQ, Zheng ZJ. Global, regional and time-trend prevalence of central obesity: a systematic review and meta-analysis of 13.2 million subjects. Eur J Epidemiol 2020;35:673-83.
  3. Barak F, Falahi E, Keshteli AH, Yazdannik A, Esmaillzadeh A. Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet in relation to obesity among Iranian female nurses. Public Health Nutr 2015;18:705-12.
  4. Engin A. The definition and prevalence of obesity and metabolic syndrome. Adv Exp Med Biol 2017;960:1-17.
  5. Muhammad HF, van Baak MA, Mariman EC, Sulistyoningrum DC, Huriyati E, Lee YY, Wan Muda WA. Dietary inflammatory index score and its association with body weight, blood pressure, lipid profile, and leptin in Indonesian adults. Nutrients 2019;11:148.
  6. Hermsdorff HH, Zulet MA, Puchau B, Martinez JA. Central adiposity rather than total adiposity measurements are specifically involved in the inflammatory status from healthy young adults. Inflammation 2011;34:161-70.
  7. Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev 2012;13:275-86.
  8. Stoffel NU, El-Mallah C, Herter-Aeberli I, Bissani N, Wehbe N, Obeid O, Zimmermann MB. The effect of central obesity on inflammation, hepcidin, and iron metabolism in young women. Int J Obes 2020;44:1291-300.
  9. Barrea L, Di Somma C, Muscogiuri G, Tarantino G, Tenore GC, Orio F, Colao A, Savastano S. Nutrition, inflammation and liver-spleen axis. Crit Rev Food Sci Nutr 2018;58:3141-58.
  10. Lee H, Lee IS, Choue R. Obesity, inflammation and diet. Pediatr Gastroenterol Hepatol Nutr 2013;16:143-52.
  11. Abdurahman AA, Azadbakhat L, Rasouli M, Chamari M, Qorbani M, Dorosty AR. Association of dietary inflammatory index with metabolic profile in metabolically healthy and unhealthy obese people. Nutr Diet 2019;76:192-8.
  12. Scott EM, Carter AM, Grant PJ. Association between polymorphisms in the Clock gene, obesity and the metabolic syndrome in man. Int J Obes 2008;32:658-62.
  13. Cermakian N, Westfall S, Kiessling S. Circadian clocks and inflammation: reciprocal regulation and shared mediators. Arch Immunol Ther Exp (Warsz) 2014;62:303-18.
  14. Renstrom F, Koivula RW, Varga TV, Hallmans G, Mulder H, Florez JC, Hu FB, Franks PW. Season-dependent associations of circadian rhythm-regulating loci (CRY1, CRY2 and MTNR1B) and glucose homeostasis: the GLACIER Study. Diabetologia 2015;58:997-1005.
  15. Ye D, Cai S, Jiang X, Ding Y, Chen K, Fan C, Jin M. Associations of polymorphisms in circadian genes with abdominal obesity in Chinese adult population. Obes Res Clin Pract 2016;10 Suppl 1:S133-41.
  16. Narasimamurthy R, Hatori M, Nayak SK, Liu F, Panda S, Verma IM. Circadian clock protein cryptochrome regulates the expression of proinflammatory cytokines. Proc Natl Acad Sci U S A 2012;109:12662-7.
  17. Clemenzi MN, Martchenko A, Loganathan N, Tse EK, Brubaker PL, Belsham DD. Analysis of Western diet, palmitate and BMAL1 regulation of neuropeptide Y expression in the murine hypothalamus and BMAL1 knockout cell models. Mol Cell Endocrinol 2020;507:110773.
  18. Willett W. Issues in analysis and presentation of dietary data. Nutritional epidemiology 1998;321-46.
  19. Browning LM, Hsieh SD, Ashwell M. A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0.5 could be a suitable global boundary value. Nutr Res Rev 2010;23:247-69.
  20. Ashwell M, Hsieh SD. Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr 2005;56:303-7.
  21. World Health Organization. Preventing and managing the global epidemic. Report of a WHO consultation on obesity. Geneva: World Health Organization; 1997. p. 17-40. 
  22. World Health Organization. Obesity: preventing and managing the global epidemic. Geneva: World Health Organization; 2000. 
  23. Mollahosseini M, Rahimi MH, Yekaninejad MS, Maghbooli Z, Mirzaei K. Dietary patterns interact with chromosome 9p21 rs1333048 polymorphism on the risk of obesity and cardiovascular risk factors in apparently healthy Tehrani adults. Eur J Nutr 2020;59:35-43.
  24. Ghaffarpour M, Houshiar-Rad A, Kianfar H. The manual for household measures, cooking yields factors and edible portion of foods. Tehran: Publication of Agricultural Sciences; 1999. p. 213. 
  25. Mirzababaei A, Ghodoosi N, Pooyan S, Djafarian K, Clark CC, Mirzaei K. The interaction between the dietary inflammatory index and MC4R gene variants on cardiovascular risk factors. Clin Nutr 2021;40:488-95.
  26. Shivappa N, Steck SE, Hurley TG, Hussey JR, Hebert JR. Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr 2014;17:1689-96.
  27. Maddahi N, Yarizadeh H, Aghamir SK, Moddaresi S, Alizadeh S, Yekaninejad M, Mirzaei K. The association of dietary inflammatory index with urinary risk factors of kidney stones formation in men with nephrolithiasis. BMC Res Notes 2020;13:373.
  28. Mirzababaei A, Daneshzad E, Shiraseb F, Pourreza S, Setayesh L, Clark CC, Tangestani H, Abaj F, Yarizadeh H, Mirzaei K. 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. BMC Endocr Disord 2021;21:196.
  29. Labrecque N, Cermakian N. Circadian clocks in the immune system. J Biol Rhythms 2015;30:277-90.
  30. Vahid F, Shivappa N, Hekmatdoost A, Hebert JR, Davoodi SH, Sadeghi M. Association between Maternal Dietary Inflammatory Index (DII) and abortion in Iranian women and validation of DII with serum concentration of inflammatory factors: case-control study. Appl Physiol Nutr Metab 2017;42:511-6.
  31. Laveti D, Kumar M, Hemalatha R, Sistla R, Naidu VG, Talla V, Verma V, Kaur N, Nagpal R. Anti-inflammatory treatments for chronic diseases: a review. Inflamm Allergy Drug Targets 2013;12:349-61.
  32. Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC. Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr 2006;84:1489-97.
  33. Root MM, McGinn MC, Nieman DC, Henson DA, Heinz SA, Shanely RA, Knab AM, Jin F. Combined fruit and vegetable intake is correlated with improved inflammatory and oxidant status from a cross-sectional study in a community setting. Nutrients 2012;4:29-41.
  34. Hermsdorff HH, Zulet MA, Puchau B, Martinez JA. Fruit and vegetable consumption and proinflammatory gene expression from peripheral blood mononuclear cells in young adults: a translational study. Nutr Metab (Lond) 2010;7:42.
  35. Casas-Agustench P, Lopez-Uriarte P, Bullo M, Ros E, Cabre-Vila JJ, Salas-Salvado J. Effects of one serving of mixed nuts on serum lipids, insulin resistance and inflammatory markers in patients with the metabolic syndrome. Nutr Metab Cardiovasc Dis 2011;21:126-35.
  36. Hermsdorff HH, Zulet MA, Abete I, Martinez JA. A legume-based hypocaloric diet reduces proinflammatory status and improves metabolic features in overweight/obese subjects. Eur J Nutr 2011;50:61-9.
  37. Santos S, Oliveira A, Casal S, Lopes C. Saturated fatty acids intake in relation to C-reactive protein, adiponectin, and leptin: a population-based study. Nutrition 2013;29:892-7.
  38. Cavicchia PP, Steck SE, Hurley TG, Hussey JR, Ma Y, Ockene IS, Hebert JR. A new dietary inflammatory index predicts interval changes in serum high-sensitivity C-reactive protein. J Nutr 2009;139:2365-72.
  39. Sokol A, Wirth MD, Manczuk M, Shivappa N, Zatonska K, Hurley TG, Hebert JR. Association between the dietary inflammatory index, waist-to-hip ratio and metabolic syndrome. Nutr Res 2016;36:1298-303.
  40. Hermsdorff HH, Zulet MA, Puchau B, Martinez JA. Central adiposity rather than total adiposity measurements are specifically involved in the inflammatory status from healthy young adults. Inflammation 2011;34:161-70.
  41. Kim HY, Lee J, Kim J. Association between dietary inflammatory index and metabolic syndrome in the general Korean population. Nutrients 2018;10:648.
  42. Neufcourt L, Assmann KE, Fezeu LK, Touvier M, Graffouillere L, Shivappa N, Hebert JR, Wirth MD, Hercberg S, Galan P, Julia C, Kesse-Guyot E. Prospective association between the dietary inflammatory index and metabolic syndrome: findings from the SU.VI.MAX study. Nutr Metab Cardiovasc Dis 2015;25:988-96.
  43. Ghorabi S, Esteghamati A, Azam K, Daneshzad E, Sadeghi O, Salari-Moghaddam A, Azadbakht L, Djafarian K. Association between dietary inflammatory index and components of metabolic syndrome. J Cardiovasc Thorac Res 2020;12:27-34.
  44. DiTacchio L. The interplay between diet, epigenetics and the circadian clock. In: Ferguson BS, editor. Nutritional epigenomics. Amsterdam: Elsevier; 2019. p. 203-10. 
  45. Yoshino J, Mills KF, Yoon MJ, Imai S. Nicotinamide mononucleotide, a key NAD(+) intermediate, treats the pathophysiology of diet- and age-induced diabetes in mice. Cell Metab 2011;14:528-36.
  46. Carrer A, Parris JL, Trefely S, Henry RA, Montgomery DC, Torres A, Viola JM, Kuo YM, Blair IA, Meier JL, Andrews AJ, Snyder NW, Wellen KE. Impact of a high-fat diet on tissue Acyl-CoA and histone acetylation levels. J Biol Chem 2017;292:3312-22.
  47. Feldman JL, Baeza J, Denu JM. Activation of the protein deacetylase SIRT6 by long-chain fatty acids and widespread deacylation by mammalian sirtuins. J Biol Chem 2013;288:31350-6.
  48. Shimazu T, Hirschey MD, Newman J, He W, Shirakawa K, Le Moan N, Grueter CA, Lim H, Saunders LR, Stevens RD, Newgard CB, Farese RV Jr, de Cabo R, Ulrich S, Akassoglou K, Verdin E. Suppression of oxidative stress by β-hydroxybutyrate, an endogenous histone deacetylase inhibitor. Science 2013;339:211-4.
  49. Tognini P, Murakami M, Liu Y, Eckel-Mahan KL, Newman JC, Verdin E, Baldi P, Sassone-Corsi P. Distinct circadian signatures in liver and gut clocks revealed by ketogenic diet. Cell Metab 2017;26:523-538.e5.
  50. Genzer Y, Dadon M, Burg C, Chapnik N, Froy O. Ketogenic diet delays the phase of circadian rhythms and does not affect AMP-activated protein kinase (AMPK) in mouse liver. Mol Cell Endocrinol 2015;417:124-30.
  51. Milanova IV, Kalsbeek MJ, Wang XL, Korpel NL, Stenvers DJ, Wolff SE, de Goede P, Heijboer AC, Fliers E, la Fleur SE, Kalsbeek A, Yi CX. Diet-induced obesity disturbs microglial immunometabolism in a time-of-day manner. Front Endocrinol (Lausanne) 2019;10:424.
  52. Shostak A, Meyer-Kovac J, Oster H. Circadian regulation of lipid mobilization in white adipose tissues. Diabetes 2013;62:2195-203.
  53. Guan Z, Vgontzas AN, Omori T, Peng X, Bixler EO, Fang J. Interleukin-6 levels fluctuate with the light-dark cycle in the brain and peripheral tissues in rats. Brain Behav Immun 2005;19:526-9.
  54. Sadki A, Bentivoglio M, Kristensson K, Nygard M. Suppressors, receptors and effects of cytokines on the aging mouse biological clock. Neurobiol Aging 2007;28:296-305.
  55. Hashiramoto A, Yamane T, Tsumiyama K, Yoshida K, Komai K, Yamada H, Yamazaki F, Doi M, Okamura H, Shiozawa S. Mammalian clock gene Cryptochrome regulates arthritis via proinflammatory cytokine TNF-α. J Immunol 2010;184:1560-5.
  56. Yoshida K, Hashiramoto A, Okano T, Yamane T, Shibanuma N, Shiozawa S. TNF-α modulates expression of the circadian clock gene Per2 in rheumatoid synovial cells. Scand J Rheumatol 2013;42:276-80.
  57. Leone MJ, Marpegan L, Duhart JM, Golombek DA. Role of proinflammatory cytokines on lipopolysaccharide-induced phase shifts in locomotor activity circadian rhythm. Chronobiol Int 2012;29:715-23.
  58. Kalsbeek A, Buijs RM. Output pathways of the mammalian suprachiasmatic nucleus: coding circadian time by transmitter selection and specific targeting. Cell Tissue Res 2002;309:109-18.
  59. Griebel G, Ravinet-Trillou C, Beeske S, Avenet P, Pichat P. Mice deficient in cryptochrome 1 (cry1 (-/-)) exhibit resistance to obesity induced by a high-fat diet. Front Endocrinol (Lausanne) 2014;5:49.
  60. Qin B, Deng Y. Overexpression of circadian clock protein cryptochrome (CRY) 1 alleviates sleep deprivation-induced vascular inflammation in a mouse model. Immunol Lett 2015;163:76-83.
  61. Takahashi JS, Hong HK, Ko CH, McDearmon EL. The genetics of mammalian circadian order and disorder: implications for physiology and disease. Nat Rev Genet 2008;9:764-75.
  62. Hand LE, Hopwood TW, Dickson SH, Walker AL, Loudon AS, Ray DW, Bechtold DA, Gibbs JE. The circadian clock regulates inflammatory arthritis. FASEB J 2016;30:3759-70.