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Gasmi, A, Mujawdiya, P., Noor, S, Piscopo, S, Menzel, A. (1400). Lifestyle Genetics-Based Reports in the Treatment of Obesity. سامانه مدیریت نشریات علمی, 76(4), 707-719. doi: 10.22092/ari.2021.356057.1768
A Gasmi; P. K Mujawdiya; S Noor; S Piscopo; A Menzel. "Lifestyle Genetics-Based Reports in the Treatment of Obesity". سامانه مدیریت نشریات علمی, 76, 4, 1400, 707-719. doi: 10.22092/ari.2021.356057.1768
Gasmi, A, Mujawdiya, P., Noor, S, Piscopo, S, Menzel, A. (1400). 'Lifestyle Genetics-Based Reports in the Treatment of Obesity', سامانه مدیریت نشریات علمی, 76(4), pp. 707-719. doi: 10.22092/ari.2021.356057.1768
Gasmi, A, Mujawdiya, P., Noor, S, Piscopo, S, Menzel, A. Lifestyle Genetics-Based Reports in the Treatment of Obesity. سامانه مدیریت نشریات علمی, 1400; 76(4): 707-719. doi: 10.22092/ari.2021.356057.1768

Lifestyle Genetics-Based Reports in the Treatment of Obesity

Archives of Razi Institute
مقاله 2، دوره 76، شماره 4، آذر و دی 2021، صفحه 707-719    اصل مقاله (297.06 K)
نوع مقاله: Review Article
شناسه دیجیتال (DOI): 10.22092/ari.2021.356057.1768
نویسندگان
A Gasmi* 1؛ P. K Mujawdiya2؛ S Noor3؛ S Piscopo1، 4؛ A Menzel5
1Société Francophone de Nutrithérapie et de Nutrigénétique Appliquée, Villeurbanne, France
2Inochi Care Private Limited, New Delhi-110017, India
3Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University Multan, Pakistan
4Research and Development Department, Nutri-Logics SA, Weiswampach, Luxembourg
5Laboratoires Réunis, Junglinster, Luxembourg
چکیده
Obesity becomes a chronic disease due to the increasing number of mortality and morbidity cases around the world. In most regions, chronic illnesses, such as obesity, are important sources of morbidity and mortality. Due to a lack of effective strategies for prevention and management, the adverse effects of obesity and related diseases on health continue to be a serious problem. Relevant information was searched from Google Scholar, Scopus, and PubMed using such different terms as “Obesity”, “Obesity Management”, “Obesity AND Physical activity”, “Obesity AND Genetics”, “Obesity AND Diet”, and “Obesity AND Nutrigenomics”. Obesity is characterized by a complex interaction of hereditary and lifestyle factors, which includes food. Diet is an environmental element that plays an important and considerable role in the management of health and reduces the risk of obesity and its comorbidities. Changes in lifestyle patterns not only help burn extra calories but also prevent the development of obesity via its modulating effect on genetic factors. Different people respond differently to an obesogenic environment. The notion of nutrigenetics emerged as a result of various genetic variations that may explain this heterogeneity. Nutritional genomics, also known as nutrigenetics, is the study that investigates and analyses gene variations linked to varied responses to certain foods; moreover, it links this variation to diseases, such as obesity. As a result, tailored nutrition advice based on a person's genetic profile may improve the outcomes of a specific dietary strategy and offer a novel dietary strategy to improve life quality and preventing obesity. This study concluded that physical activity and dietary interventions play an effective role in the management of obesity. Moreover, understanding of the function of the most prominent obesity-related genes, as well as the interaction between nutrition and gene expression, will help researchers design personalized treatment strategies for humans.
کلیدواژه‌ها
Diet؛ Obesity؛ Physical activity؛ Nutrigenetics؛ Single Nucleotide Polymorphisms
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مراجع
  1. Organization WH. Obesity: preventing and managing the global epidemic. 2000.
  2. van Vliet-Ostaptchouk JV, Snieder H, Lagou V. Gene–lifestyle interactions in obesity. Curr Nutr Rep. 2012;1(3):184-96.
  3. Reddon H, Gerstein HC, Engert JC, Mohan V, Bosch J, Desai D, et al. Physical activity and genetic predisposition to obesity in a multiethnic longitudinal study. Sci Rep. 2016;6(1):1-10.
  4. Albuquerque D, Manco L, Nóbrega C. Genetics of human obesity. Obesity: Springer; 2016. p. 87-106.
  5. Montague CT, Farooqi IS, Whitehead JP, Soos MA, Rau H, Wareham NJ, et al. Congenital leptin deficiency is associated with severe early-onset obesity in humans. Nature. 1997;387(6636):903-8.
  6. Albuquerque D, Nóbrega C, Manco L, Padez C. The contribution of genetics and environment to obesity. Br Med Bull. 2017;123(1):159-73.
  7. Marti A, Moreno-Aliaga M, Hebebrand J, Martinez J. Genes, lifestyles and obesity. Int J Obes. 2004;28(3):S29-S36.
  8. Xiang L, Wu H, Pan A, Patel B, Xiang G, Qi L, et al. FTO genotype and weight loss in diet and lifestyle interventions: a systematic review and meta-analysis. Am J Clin Nutr. 2016;103(4):1162-70.
  9. Drabsch T, Holzapfel C. A scientific perspective of personalised gene-based dietary recommendations for weight management. Nutrients. 2019;11(3):617.
  10. Sheikh AB, Nasrullah A, Haq S, Akhtar A, Ghazanfar H, Nasir A, et al. The interplay of genetics and environmental factors in the development of obesity. Cureus. 2017;9(7).
  11. Campbell LV. Genetics of obesity. ust Fam Physician. 2017;46(7):456-9.
  12. Valsesia A, Wang Q-P, Gheldof N, Carayol J, Ruffieux H, Clark T, et al. Genome-wide gene-based analyses of weight loss interventions identify a potential role for NKX6. 3 in metabolism. Nat Commun. 2019;10(1):1-10.
  13. Papandonatos GD, Pan Q, Pajewski NM, Delahanty LM, Peter I, Erar B, et al. Genetic predisposition to weight loss and regain with lifestyle intervention: analyses from the Diabetes Prevention Program and the Look AHEAD randomized controlled trials. Diabetes. 2015;64(12):4312-21.
  14. Heianza Y, Qi L. Gene-diet interaction and precision nutrition in obesity. Int J Mol Sci. 2017;18(4):787.
  15. Arkadianos I, Valdes AM, Marinos E, Florou A, Gill RD, Grimaldi KA. Improved weight management using genetic information to personalize a calorie controlled diet. Nutr J. 2007;6(1):1-8.
  16. Fallaize R C-MC, Macready AL, Marsaux CF, Forster H, O'Donovan C, Woolhead C, San-Cristobal R, Kolossa S, Hallmann J, Mavrogianni C, Surwillo A, Livingstone KM, Moschonis G, Navas-Carretero S, Walsh MC, Gibney ER, Brennan L, Bouwman J, Grimaldi K, Manios Y, Traczyk I, Drevon CA, Martinez JA, Daniel H, Saris WH, Gibney MJ, Mathers JC, Lovegrove JA. The effect of the apolipoprotein E genotype on response to personalized dietary advice intervention: findings from the Food4Me randomized controlled trial. Am J Clin Nutr. 2016;104(3):827-36.
  17. Ghalandari H, Hosseini-Esfahani F, Mirmiran P. The association of polymorphisms in leptin/leptin receptor genes and ghrelin/ghrelin receptor genes with overweight/obesity and the related metabolic disturbances: a review. Int J Endocrinol Metab. 2015;13(3).
  18. Cowley MA, Smart JL, Rubinstein M, Cerdan MG, Diano S, Horvath TL, et al. Leptin activates anorexigenic POMC neurons through a neural network in the arcuate nucleus. Nature. 2001;411(6836):480-4.
  19. Hinuy HM, Hirata MH, Forti N, Diament J, Sampaio MF, Armaganijan D, et al. Leptin G-2548A promoter polymorphism is associated with increased plasma leptin and BMI in Brazilian women. Arq Bras Endocrinol Metabol. 2008;52:611-6.
  20. Méndez-Hernández A, Gallegos-Arreola MP, Moreno-Macías H, Fematt JE, Pérez-Morales R. LEP rs7799039, LEPR rs1137101, and ADIPOQ rs2241766 and 1501299 polymorphisms are associated with obesity and chemotherapy response in Mexican women with breast cancer. Clin Breast Cancer. 2017;17(6):453-62.
  21. Chavarria-Avila E, Mercado V-D, Gomez-Bañuelos E, Ruiz-Quezada S-L, Castro-Albarran J, Sánchez-López L, et al. The impact of LEP G-2548A and LEPR Gln223Arg polymorphisms on adiposity, leptin, and leptin-receptor serum levels in a Mexican Mestizo population. Biomed Res Int. 2015;2015.
  22. Gorska E, Popko K, Stelmaszczyk-Emmel A, Ciepiela O, Kucharska A, Wasik M. Leptin receptors. Eur J Med Res. 2010;15(2):1-5.
  23. Yiannakouris N, Yannakoulia M, Melistas L, Chan JL, Klimis-Zacas D, Mantzoros CS. The Q223R polymorphism of the leptin receptor gene is significantly associated with obesity and predicts a small percentage of body weight and body composition variability. J Clin Endocrinol Metab. 2001;86(9):4434-9.
  24. Daghestani MH, Daghestani MH, Daghistani MH,

    Bjørklund G, Chirumbolo S, Warsy A. The influence of the rs1137101 genotypes of leptin receptor gene on the demographic and metabolic profile of normal Saudi females and those suffering from polycystic ovarian syndrome. BMC women's health. 2019;19(1):1-9.
  25. Murugesan D, Arunachalam T, Ramamurthy V, Subramanian S. Association of polymorphisms in leptin receptor gene with obesity and type 2 diabetes in the local population of Coimbatore. Indian J Hum Genet. 2010;16(2):72.
  26. Pithadia AB, Jain SM. 5-Hydroxytryptamine receptor subtypes and their modulators with therapeutic potentials. J Clin Med Res. 2009;1(2):72.
  27. Halder I, Muldoon MF, Ferrell RE, Manuck SB. Serotonin receptor 2A (HTR2A) gene polymorphisms are associated with blood pressure, central adiposity, and the metabolic syndrome. Metab Syndr Relat Disord. 2007;5(4):323-30.
  28. Sorlí JV, Francés F, González JI, Guillén M, Portolés O, Sabater A, et al. Impact of the-1438G> A polymorphism in the serotonin 2A receptor gene on anthropometric profile and obesity risk: A case–control study in a Spanish Mediterranean population. Appetite. 2008;50(2-3):260-5.
  29. Erritzoe D, Frokjaer VG, Haugbol S, Marner L, Svarer C, Holst K, et al. Brain serotonin 2A receptor binding: relations to body mass index, tobacco and alcohol use. Neuroimage. 2009;46(1):23-30.
  30. Saboowala H. A Compendium of Multifaceted Role of Ghrelin: An Orexigenic Hormone: Dr. Hakim Saboowala; 2020.
  31. Ukkola O, Ravussin E, Jacobson P, Snyder EE, Chagnon M, Sjöström L, et al. Rapid communications: Mutations in the preproghrelin/ghrelin gene associated with obesity in humans. J Clin Endocrinol Metab. 2001;86(8):3996-9.
  32. Kuzuya M, Ando F, Iguchi A, Shimokata H. Preproghrelin Leu72Met variant contributes to overweight in middle-aged men of a Japanese large cohort. Int J Obes. 2006;30(11):1609-14.
  33. Tupikowska-Marzec M, Kolačkov K, Zdrojowy-Wełna A, Słoka NK, Szepietowski JC, Maj J. The influence of FTO polymorphism rs9939609 on obesity, some clinical features, and disturbance of carbohydrate metabolism in patients with psoriasis. Biomed Res Int. 2019;2019.
  34. Kawano J, Arora R. The role of adiponectin in obesity, diabetes, and cardiovascular disease. J Cardiometab Syndr. 2009;4(1):44-9.
  35. Alfaqih MA, Al-Mughales F, Al-Shboul O, Al Qudah M, Khader YS, Al-Jarrah M. Association of Adiponectin and rs1501299 of the ADIPOQ Gene with Prediabetes in Jordan. Biomolecules. 2018;8(4):117.
  36. Mohammadzadeh G, Zarghami N. Associations between single-nucleotide polymorphisms of the adiponectin gene, serum adiponectin levels and increased risk of type 2 diabetes mellitus in Iranian obese individuals. Scand J Clin Lab Invest. 2009;69(7):764-71.
  37. Filippi E, Sentinelli F, Trischitta V, Romeo S, Arca M, Leonetti F, et al. Association of the human adiponectin gene and insulin resistance. Eur J Hum Genet. 2004;12(3):199-205.
  38. Menzaghi C, Ercolino T, Di Paola R, Berg AH, Warram JH, Scherer PE, et al. A haplotype at the adiponectin locus is associated with obesity and other features of the insulin resistance syndrome. Diabetes. 2002;51(7):2306-12.
  39. Garner CJ, Conn CA, Cohen D, Luo L, Castillo JJ, Shah VO, et al. NAFLD susceptibility genes and their association with type 2 diabetes and obesity in a New Mexico population. J Diabetes Obes. 2015;2(2).
  40. Dubé AK, Malenfant N, Ladonne F, Piano A, Mohammad K, Bélanger M, et al. Rewiring the Three-Carbon Metabolism Abrogates Multiple MAPK-Induced Cellular Dysfunctions During Metabolic Disorder. bioRxiv. 2021.
  41. Yan J, Winter L, Burns-Whitmore B, Vermeylen F, Caudill M. Plasma choline metabolites associate with metabolic stress among young overweight men in a genotype-specific manner. Nutr Diabetes. 2012;2(10):e49-e.
  42. Yu D, Li C, Xie J, Xu G, Li Y, Liu J, et al. Association between three genetic variants of the perilipin gene (PLIN) and glucose metabolism: results from a replication study among Chinese adults and a meta-analysis. Endocr Res. 2013;38(4):263-79.
  43. Qi L, Tai ES, Tan CE, Shen H, Chew SK, Greenberg AS, et al. Intragenic linkage disequilibrium structure of the human perilipin gene (PLIN) and haplotype association with increased obesity risk in a multiethnic Asian population. J Mol Med. 2005;83(6):448-56.
  44. Smith CE, Tucker KL, Yiannakouris N, Garcia-Bailo B, Mattei J, Lai C-Q, et al. Perilipin polymorphism interacts with dietary carbohydrates to modulate anthropometric traits in Hispanics of Caribbean origin. J Nutr. 2008;138(10):1852-8.
  45. Corella D, Qi L, Tai ES, Deurenberg-Yap M, Tan CE, Chew SK, et al. Perilipin gene variation determines higher susceptibility to insulin resistance in Asian women when consuming a high–saturated fat, low-carbohydrate diet. Diabetes Care. 2006;29(6):1313-9.
  46. Comuzzie AG, Cole SA, Laston SL, Voruganti VS, Haack K, Gibbs RA, et al. Novel genetic loci identified for the pathophysiology of childhood obesity in the Hispanic population. PloS one. 2012;7(12):e51954.
  47. Chu AY, Deng X, Fisher VA, Drong A, Zhang Y, Feitosa MF, et al. Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation. Nat Genet. 2017;49(1):125-30.
  1. Croteau‐Chonka DC, Marvelle AF, Lange EM, Lee NR, Adair LS, Lange LA, et al. Genome‐wide association study of anthropometric traits and evidence of interactions with age and study year in Filipino women. Obesity. 2011;19(5):1019-27.
  2. Johansson Å, Marroni F, Hayward C, Franklin CS, Kirichenko AV, Jonasson I, et al. Linkage and genome‐wide association analysis of obesity‐related phenotypes: association of weight with the MGAT1 gene. Obesity. 2010;18(4):803-8.
  3. Thorleifsson G, Walters GB, Gudbjartsson DF, Steinthorsdottir V, Sulem P, Helgadottir A, et al. Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet. 2009;41(1):18-24. 
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