25-hydroxyvitamin D3 levels, BSMI polymorphism and insulin resistance in Brazilian amazonian children

International Journal of Molecular Sciences

Volumn 16, Issue 6, 2015, Pages 12531-12546

  Cobayashi, Fernanda ^a   Lourenço, Bárbara Hatzlhoffer ^a   Cardoso, Marly Augusto ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Children; Genetic polymorphism; Insulin resistance; Nutrition; Vitamin D

Indexed keywords

ALPHA TOCOPHEROL; C REACTIVE PROTEIN; CALCIFEDIOL; CHOLESTEROL; GLUCOSE; RETINOL; VITAMIN D RECEPTOR; 25-HYDROXYVITAMIN D; CALCITRIOL RECEPTOR; GLUCOSE BLOOD LEVEL; VDR PROTEIN, HUMAN; VITAMIN D;

ALLELE; ARTICLE; CHILD; CROSS-SECTIONAL STUDY; DIARRHEA; FEMALE; FOLIC ACID BLOOD LEVEL; GENE; GENETIC POLYMORPHISM; GENETIC RISK; HUMAN; INSULIN RESISTANCE; LOW BIRTH WEIGHT; MAJOR CLINICAL STUDY; MALE; NUTRITIONAL DISORDER; OBESITY; PREVALENCE; STUNTING; VITAMIN BLOOD LEVEL; VITAMIN D DEFICIENCY; VITAMIN D INSUFFICIENCY; VITAMIN D RECEPTOR GENE; ANALOGS AND DERIVATIVES; BLOOD; BRAZIL; ETHNOLOGY; GENETICS; GLUCOSE BLOOD LEVEL; INFANT; METABOLISM; PRESCHOOL CHILD; SOCIOECONOMICS;

BLOOD GLUCOSE; BRAZIL; CHILD; CHILD, PRESCHOOL; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; INFANT; INSULIN RESISTANCE; MALE; POLYMORPHISM, GENETIC; PREVALENCE; RECEPTORS, CALCITRIOL; SOCIOECONOMIC FACTORS; VITAMIN D; VITAMIN D DEFICIENCY;

EID: 84931282167     PISSN: 16616596     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms160612531     Document Type: Article

References (51)

1. Holick, M.F. Vitamin D deficiency. N. Engl. J. Med. 2007, 357, 266–281.
2. Koo, W.; Walyat, N. Vitamin D and skeletal growth and development. Curr. Osteoporos. Rep. 2013, 11, 188–193.
3. Ferrari, S.; Bonjour, J.P.; Rizzoli, R. The vitamin D receptor gene and calcium metabolism. Trends Endocrinol. Metab. 1998, 9, 259–265.
4. Uitterlinden, A.G.; Fang Y.; van Meurs, J.B.J.; Pols, H.A.P.; van Leeuwen J.P.T.M. Genetics and biology of vitamin D receptor polymorphisms. Gene 2004, 338, 143–156.
5. Bener, A.; Al-Ali, M.; Hoffmann, G.F. Vitamin D deficiency in healthy children in a sunny country: Associated factors. Int. J. Food. Sci. Nutr. 2009, 60, S60–S70.
6. Holick, M.F.; Binkley, N.C.; Bischoff-Ferrari, H.A.; Gordon, C.M.; Hanley, D.A.; Heaney, R.P.; Murad, M.H.; Weaver, C.M. Evaluation, treatment, and prevention of vitamin D deficiency: An endocrine society clinical practice guideline. J. Clin. Endocrinol. Metab. 2011, 7, 1–20.
7. Madsen, K.H.; Rasmussen, L.B.; Mejborn, H.; Andersen, E.W.; Mølgaard, C.; Nissen, J.; Tetens, I.; Andersen, R. Vitamin D status and its determinants in children and adults among families in late summer in Denmark. Br. J. Nutr. 2014, 112, 776–784.
8. Flores, M.; Macias, N.; Lozada, A.; Sánchez, L.M.; Díaz, E.; Barquera, S. Serum 25-hydroxyvitamin D levels among Mexican children ages 2 y to 12 y: A national survey. Nutrition 2013, 29, 802–804.
9. Djennane, M.; Lebbah, S.; Roux, C.; Djoudi, H.; Cavalier, E.; Souberbielle, J.C. Vitamin D status of schoolchildren in Northern Algeria, seasonal variations and determinants of vitamin D deficiency. Osteoporos. Int. 2014, 25, 1493–502.
10. Vierucci, F.; del Pistoia, M.; Fanos, M.; Gori, M.; Carlone, G.; Erba, P.; Massimetti, G.; Federico, G.; Saggese, G. Vitamin D status and predictors of hypovitaminosis D in Italian children and adolescents: A cross-sectional study. Eur. J. Pediatr. 2013, 172, 1607–1617.
11. Moon, R.J.; Harvey, N.C.; Davies, J.H.; Cooper, C. Vitamin D and skeletal health in infancy and childhood. Osteoporos. Int. 2014, 25, 2673–2684.
12. Black, L.J.; Burrows, S.A.; Jacoby, P.; Oddy, W.H.; Beilin, L.J.; Chan She Ping-Delfos, W.; Marshall, C.E.; Holt, P.G.; Hart, P.H.; Mori, T.A. Vitamin D status and predictors of serum 25-hydroxyvitamin D concentrations in Western Australian adolescents. Br. J. Nutr. 2014, 112, 1154–1162.
13. Angurana, S.K.; Angurana, R.S.; Mahajan, G.; Kumar, N.; Mahajan, V. Prevalence of vitamin D deficiency in apparently healthy children in north India. J. Pediatr. Endocrinol. Metab. 2014, 27, 1151–1156.
14. Gnagnarella, P.; Pasquali, E.; Serrano, D.; Raimondi, S.; Disalvatore, D.; Gandini, S. Vitamin D receptor polymorphism FokI and câncer risk: A comprehensive meta-analysis. Carcinogenesis 2014, 35, 1913–1919.
15. Tizaoui, K.; Kaabachi, W.; Hamzaoui, A.; Hamzaoui, K. Contribution of VDR polymorphisms to type 1 diabetes susceptibility: Systematic review of case-control studies and meta-analysis. J. Steroid Biochem. Mol. Biol. 2014, 143, 240–249.
16. Al-Daghri, N.M.; Al-Attas, O.S.; Alkharfy, K.M.; Khan, N.; Mohammed, A.K.; Vinodson, B.; Ansari, M.G.; Alenad, A.; Alokail, M.S. Association of VDR-gene variants with factors related to the metabolic syndrome, type 2 diabetes and vitamin D deficiency. Gene 2014, 542, 129–133.
17. Santos, B.R.; Mascarenhas, L.P.G.; Satler, F.; Boguszewski, M.C.S.; Spritzer, P.M. Vitamin D deficiency in girls from South Brazil: A cross-sectional study on prevalence and association with vitamin D receptor gene variants. BMC Pediatr. 2012, 12, 1–7.
18. Valtueña, J.; González-Gross, M.; Huybrechts, I.; Breidenassel, C.; Ferrari, M.; Mouratidou, T.; Gottrand, F.; Dallongeville, J.; Azzini, E.; Sioen, I.; et al. Factors associated with vitamin D deficiency in European adolescents: The Helena study. J. Nutr. Sci. Vitaminol. 2013, 59, 161–171.
19. Maeda, S.S.; Saraiva, G.L.; Hayashi, L.F.; Cendoroglo, M.S.; Ramos, L.R.; Correa, M.P.; Mesquita, C.H.; Lazaretti-Castro, M. Seasonal variation in the serum 25-hydroxyvitamin D levels of young and elderly active and inactive adults in São Paulo, Brazil. Dermatoendocrinology 2013, 1, 211–217.
20. Linhares, E.R.; Jones, D.A.; Round, J.M.; Edwards, R.H.T. Effect of nutrition on vitamin D status: Studies on healthy and poorly nourished Brazilian children. Am. J. Clin. Nutr. 1984, 39, 625–630.
21. Heaney, R.P.; Holick, M.F. Why the IOM recommendations for vitamin D are deficient? J. Bone Miner. Res. 2011, 26, 457.
22. Hazell, T.J.; Pham, T.T.; Jean-Philippe, S.; Finch, S.L.; El Hayek, J.; Vanstone, C.A.; Rodd, C.J.; Weiler, H.A. Vitamin D status is associated with bone mineral density and bone mineral content in preschool-aged children. J. Clin. Densitom. 2014, 1, 1–8.
23. Arguelles, L.M.; Langman, C.B.; Ariza, A.J.; Ali, F.N.; Dilley, K.; Price, H.; Liu, X.; Zhang, S.; Hong, X.; Wang, B.; et al. Heritability and environmental factors affecting vitamin D status in rural Chinese adolescent twins. J. Clin. Endocrinol. Metab. 2009, 94, 3281.
24. World Health Organization. Global Prevalence of Vitamin A Deficiency in Populations at Risk 1995–2005: WHO Global Database on Vitamin A Deficiency; WHO: Geneva, Switzerland, 2009.
25. Puri, S.; Marwaha, R.K.; Agarwal, N.; Tandon, N.; Agarwal, R.; Grewal, K.; Reddy, D.H.; Singh, S. Vitamin D status of apparently healthy schoolgirls from two different socioeconomic strata in Delhi: Relation to nutrition and lifestyle. Br. J. Nutr. 2008, 99, 876–882.
26. Augusto, R.A.; Cobayashi, F.; Cardoso, M.A. Associations between low consumption of fruits and vegetables and nutritional deficiencies in Brazilian schoolchildren. Public Health Nutr. 2014, 25, 10.
27. Garcia, M.T.; Granado, F.S.; Cardoso, M.A. Complementary feeding and nutritional status of 6–24 month-old children in Acrelândia, Acre State, Western Brazilian Amazon. Cad. Saude Publica 2011, 27, 305–316.
28. Taylor, C.L.; Patterson, K.Y.; Roseland, J.M.; Wise, S.A.; Merkel, J.M.; Pehrsson, P.R.; Yetley, E.A. Including food 25-Hydroxyvitamin D in intake estimates may reduce the discrepancy between dietary and serum measures of vitamin D status. J. Nutr. 2014, 144, 654–659.
29. Absoud, M.; Cummins, C.; Lim, M.J.; Wassmer, E.; Shaw, N. Prevalence and predictors of vitamin D insufficiency in children: A Great Britain population based study. PLoS ONE 2011, 6, e22179.
30. Oh, J.Y.; Barrett-Connor, E. Association between vitamin D receptor polymporphism and type 2 diabetes or metabolic syndrome in community-dwelling older adults: The Rancho Bernardo Study. Metabolism 2002, 3, 356–359.
31. Shuch, N.J.; Garcia, V.C.; Vívolo, S.R.G.F.; Martini, L.A. Relationships between vitamin D receptor gene polymorphisms and the components of metabolic syndrome. Nutr. J. 2013, 12, 1–7.
32. Global IDF/ISPAD Guideline for Diabetesin Childhood and Adolescence. Available online: http://www.idf.org/sites/default/files/Diabetes-in-Childhood-and-Adolescence-Guidelines.pdf (accessed on 15 January 2015).
33. Hitman, G.A.; Mannan, N.; McDermott, M.F.; Aganna, E.; Ogunkolade, B.W.; Hales, C.N.; Boucher, B.J. Vitamin D receptor gene polymorphisms influence insulin secretion in Bangladeshi Asians Diabetes 1998, 47, 688–690.
34. Chiu, K.C.; Chuang, L.M.; Yoon, C. The vitamin D receptor polymorphism in the translation initiation codon is a risk factor for insulin resistance in glucose tolerant Caucasians. BMC Med. Genet. 2001, 2, 2.
35. Ortlepp, J.R.; Lauscher, J.; Hoffmann, R.; Hanrath, P.; Joost, H.G. The vitamin D receptor gene variant is associated with the prevalence of type 2 diabetes mellitus and coronary artery disease. Diabet. Med. 2001, 18, 842–845.
36. Li, L.; Wu, B.; Liu, J.; Yang, L.B. Vitamin D receptor gene polymorphisms and type 2 diabetes: A meta-analysis. Arch. Med. Res. 2013, 44, 235–241.
37. Zhu, B.; Zhao, H.; Ou, C.; Huang, L.; Li, P.; Lao, M. Association of vitamin D receptor BsmI gene polymorphism with the risk of type 2 diabetes mellitus. J. Recept. Signal. Transduct. 2014, 34, 458–462.
38. Cardoso, M.A.; Scopel, K.K.; Muniz, P.T.; Villamor, E.; Ferreira, M.U. Underlying factors associated with anemia in Amazonian children: A population-based, cross-sectional study. PLoS ONE 2012, 7, e36341.
39. Lohman, T.G.; Roche, A.F.; Martorell, R. Anthropometric Standardization Reference Manual; Human Kinects Books: Champaign, IL, USA, 1988; pp. 1–184.
40. World Health Organization. Multicentre Growth Reference Study Group WHO child growth standards based on length/height, weight and age. Acta Paediatr. 2006, 450, 76–85.
41. De Onis, M.; Lobstein, T. Defining obesity risk status in the general childhood population: Which cut-offs should we use? Int. J. Pediatr. Obes. 2010, 5, 458–460.
42. Scagliusi, F.B.; Garcia, M.T.; Indiani, A.L.; Cardoso, M.A. Relative validity of a food-frequency questionnaire developed to assess food intake of schoolchildren living in the Brazilian Western Amazon. Cad. Saúde Publica 2011, 27, 2197–2206.
43. Looker, A.C.; Underwood, B.A.; Wiley, J.; Fulwood, R.; Sempos, C.T. Serum α-tocopherol levels of Mexican American, Cubans and Puerto Ricans aged 4–74 y. Am. J. Clin. Nutr. 1989, 50, 491–496.
44. Thurnham, D.I.; McCabe, L.D.; Haldar, S.; Wieringa, F.T.; Northrop-Clewes, C.A.; McCabe, G.P. Adjusting plasma ferritin concentrations to remove the effects of subclinical inflammation in the assessment of iron deficiency: A meta-analysis. Am. J. Clin. Nutr. 2010, 92, 546–555.
45. Tanner, J.M. Growth of Adolescents; Blackwell Scientific: Oxford, UK, 1962.
46. Matthews, D.R.; Hosker, J.P.; Rudenski, A.S.; Naylor, B.A.; Treacher, D.F.; Turner, R.C. Homeostasis model assessment: Insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985, 28, 412–419.
47. Myakishev, M.V.; Khripin, Y.; Hu, S.; Hamer, D.H. High-throughput SNP genotyping by allele-specific PCR with universal energy-transfer-labeled primers. Genome Res. 2011, 11, 163–169.
48. Rusch, T.L.; Dickinson, W.; Che, J.; Fieweger, K., Chudyk, J.; Doktycz, M.J.; Yu, A., Weber, J.L. Instrumentation for Continuous Array Genotyping of Short Insert/Deletion Polymorphisms. In Proceedings of the SPIE—Microarrays and Combinatorial Technologies for Biomedical Applications: Design, Fabrication, and Analysis, San Jose, CA, USA, 2003; Volume 4966, pp. 138–145.
49. Rodrigues, S.; Gaunt, T.R.; Day, I.N. Hardy-Weinberg equilibrium testing of biological ascertainment for Mendelian randomization studies. Am. J. Epidemiol. 2009, 169, 505–514.
50. Filmer, D.; Pritchett, L.H. Estimating wealth effects without expenditure data-or tear: An application to educational enrolments in states of India. Demography 2001, 38, 115–132.
51. Victora, C.G.; Huttly, S.R.; Fuchs, S.C.; Olinto, M.T. The role of conceptual frameworks in epidemiological analysis: A hierarchical approach. Int. J. Epidemiol. 1997, 26, 224–227.