Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-14T19:19:55.612Z Has data issue: false hasContentIssue false

Childhood obesity: a (re) programming disease?

Published online by Cambridge University Press:  26 October 2015

S. T. Paes*
Affiliation:
Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
C. F. Gonçalves
Affiliation:
Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
M. M. Terra
Affiliation:
Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
T. S. Fontoura
Affiliation:
Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
M. de O. Guerra
Affiliation:
Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
V. M. Peters
Affiliation:
Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
P. C. de F. Mathias
Affiliation:
Universidade Estadual de Maringá, Maringá, PR, Brasil
A. E. Andreazzi
Affiliation:
Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brasil
*
*Address for correspondence: S. T. Paes, Rua José Lourenço Kelmer, Martelos, Juiz de Fora, MG 36036-330, Brazil. (Email: [email protected])

Abstract

The aim of our article was to review the current literature on the effects of metabolic (re) programming on childhood obesity. PubMed/MEDLINE was the data source used to track the studies. Descriptors applied: children obesity, epigenetic, metabolic programming, exercise and nutrition. The focus was to analyze and discuss the international findings on the theme. The gathering of the papers was performed between June and August 2014. The search of articles with the descriptors used found 33.054 studies. In all, 5.709 studies were selected by crossing chosen keywords. Among these, after careful reading of the titles, 712 papers were considered potential as references. After applying inclusion/exclusion criteria, 50 studies were selected from 132 eligible abstracts. Most studies linked the development and treatment of obesity from epigenetically stimulated metabolic programming during the early stages of pregnancy and life. This review provides theoretical basis to the understanding that the programmed development of childhood obesity may be linked to early exposure to environmental factors, such as (nutrition and regular practice of exercise) and stimulus can epigenetically alter the modulation of the obesogenic metabolic behavior during pregnancy and the developmental stages of children and/or postpone the pathophysiologic disease stage to adulthood.

Type
Review
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Kelley, GA, Kelley, KS. Effects of exercise in the treatment of overweight and obese children and adolescents, a systematic review of meta-analyses. J Obes. 2013; 2013, 783103.Google Scholar
2. Paes, ST, Marins, JC, Andreazzi, AE. Efeitos metabólicos do exercício Físico na obesidade infantil, Uma visão Atual. Rev Paul Pediatr. 2015; 33, 139146.Google Scholar
3. Morrison, JA, Friedman, LA, Wang, P, Glueck, CJ. Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr. 2008; 152, 201206.Google Scholar
4. Camhi, S, Katzmarzy, PT. Tracking of cardiometabolic risk factor clustering from childhood to adulthood. Int J Pediatr Obes. 2009; 10, 18.Google Scholar
5. Boggs, DA, Rosenberg, L, Cozier, YC, Wise, LA, Coogan, PF. General and abdominal obesity and risk of death among black women. N Engl J Med. 2011; 8, 901908.Google Scholar
6. Guinhouya, BC. Physical activity in the prevention of childhood obesity. Paediatr Perinat Epidemiol. 2012; 26, 438447.Google Scholar
7. Hurt, RT, Frazier, TH, McClave, SA, Kaplan, LM. Obesity epidemic, overview, pathophysiology, and the intensive care unit conundrum. JPEN J Parenter Enteral Nutr. 2011; 35, 413.CrossRefGoogle ScholarPubMed
8. Brambilla, P, Pozzobon, G, Pietrobelli, A. Physical activity as the main therapeutic tool for metabolic syndrome in childhood. Int J Obes (Lond). 2011; 35, 1628.Google Scholar
9. Hill, JO, Wyatt, HR, Peters, JC. Energy balance and obesity. Circulation. 2012; 126, 126132.CrossRefGoogle ScholarPubMed
10. Coelho, DF, Pereira-Lancha, LO, Chaves, DS, et al. Effect of high-fat diets on body composition, lipid metabolism and insulin sensitivity, and the role of exercise on these parameters. Braz J Med Biol Res. 2011; 44, 966972.Google Scholar
11. La Fleur, SE, Luijendijk, MC, van der Zwaal, EM, Brans, MA, Adan, RA. The snacking rat as model of human obesity, effects of a free-choice high-fat high-sugar diet on meal patterns. Int J Obes. 2014; 38, 643649.Google Scholar
12. Taubes, G. The science of obesity, what do we really know about what makes us fat? An essay by Gary Taubes. BMJ. 2013; 15, 346350.Google Scholar
13. Wells, JCK, Siervo, M. Obesity and energy balance, is the tail wagging the dog? Eur J Clin Nutr. 2011; 65, 11731189.CrossRefGoogle ScholarPubMed
14. Krieger, JW, Sitren, HS, Daniels, MJ, Langkamp-Henken, B. Effects of variation in protein and carbohydrate intake on body mass and composition during energy restriction, a meta-regression. Am J Clin Nutr. 2006; 83, 260274.Google Scholar
15. Kim, JH, Choi, J. Pathophysiology and clinical characteristics of hypothalamic obesity in children and adolescents. Ann Pediatr Endocrinol Metab. 2013; 18, 161167.Google Scholar
16. Taubes, G. Treat obesity as physiology, not physics. Nature. 2012; 492, 155.Google Scholar
17. Cornier, MA, Donahoo, WT, Pereira, R, Gurevich, I, Westergren, R. Insulin sensitivity determines the effectiveness of dietary macronutrient composition on weight loss in obese women. Obes Res. 2005; 4, 703709.Google Scholar
18. Blumberg, B. Obesogens, stem cells and the maternal programming of obesity. J Dev Orig Health Dis. 2011; 2, 38.CrossRefGoogle ScholarPubMed
19. Westermeier, F, Sáez, PJ, Villalobos-Labra, R, Sobrevia, L, Farías-Jofré, M. Programming of fetal insulin resistance in pregnancies with maternal obesity by ER stress and inflammation. Biomed Res Int. 2014; 2014, 917672.Google Scholar
20. Keen-Rhinehart, E, Ondek, K, Schneider, JE. Neuroendocrine regulation of appetitive ingestive behavior. Front Neurosci. 2013; 15, 213.Google Scholar
21. Vickers, MH. Developmental programming and transgenerational transmission of obesity. Ann Nutr Metab. 2014; 64, 2634.Google Scholar
22. Daniel, CB. The ‘Early Life’ origins of obesity-related health disorders, new discoveries regarding the intergenerational transmission of developmentally programmed traits in the global cardiometabolic health crisis. Am J Phys Anthropol. 2013; 57, 7993.Google Scholar
23. Aiken, CE, Ozanne, SE. Transgenerational developmental programming. Hum Reprod. 2014; 20, 6375.Google Scholar
24. Kirchner, H, Osler, ME, Krook, A, Zierath, JR. Epigenetic flexibility in metabolic regulation, disease cause and prevention? Trends Cell Biol. 2013; 23, 203209.Google Scholar
25. Jones, AP, Friedman, MI. Obesity and adipocyte abnormalities in offspring of rats undernourished during pregnancy. Science. 1982; 215, 15181519.Google Scholar
26. Jones, AP, Dayries, M. Maternal hormone manipulations and the development of obesity in rats. Physiol Behav. 1990; 47, 11071110.Google Scholar
27. Vickers, MH, Breier, BH, Cutfield, WS, Hofman, PL, Gluckman, PD. Fetal origins of hyperphagia, obesity, and hypertension and postnatal amplification by hypercaloric nutrition. Am J Physiol Endocrinol Metab. 2000; 279, 8387.Google Scholar
28. Vickers, MH, Gluckman, PD, Coveny, AH, et al. Neonatal leptin treatment reverses developmental programming. Endocrinology. 2005; 146, 42114216.Google Scholar
29. Wagener, A, Schmitt, AO, Brockmann, GA. Early and late onset of voluntary exercise have differential effects on the metabolic syndrome in an obese mouse model. Exp Clin Endocrinol Diabetes. 2012; 120, 591597.Google Scholar
30. Vickers, MH. Early life nutrition, epigenetics and programming of later life disease. Nutrients. 2014; 6, 21652178.Google Scholar
31. Tarry-Adkins, JL, Ozanne, SE. Mechanisms of early life programming, current knowledge and future directions. Am J Clin Nutr. 2011; 94, 17651771.Google Scholar
32. Janesick, A, Blumberg, B. Obesogens, stem cells and the developmental programming of obesity. Int J Androl. 2012; 35, 437448.CrossRefGoogle ScholarPubMed
33. Plagemann, A, Harder, T, Brunn, M, et al. Hypothalamic proopiomelanocortin promoter methylation becomes altered by early overfeeding, an epigenetic model of obesity and the metabolic syndrome. J Physiol. 2009; 587, 49634976.Google Scholar
34. Yura, S, Itoh, H, Sagawa, N, etal. Role of premature leptin surge in obesity resulting from intrauterine undernutrition. Cell Metab. 2005; 1, 371378.Google Scholar
35. Breton, C. The hypothalamus-adipose axis is a key target of developmental programming by maternal nutritional manipulation. J Endocrinol. 2013; 216, 1931.CrossRefGoogle ScholarPubMed
36. Sullivan, EL, Grove, KL. Metabolic imprinting of obesity. Forum Nutr. 2010; 63, 186194.Google Scholar
37. Nathanielsz, PW, Ford, SP, Long, NM, et al. Interventions to prevent adverse fetal programming due to maternal obesity during pregnancy. Nutr Rev. 2013; 71, 7887.Google Scholar
38. Ravelli, GP, Stein, ZA, Susser, MW. Obesity in young men after famine exposure in utero and early infancy. N Engl J Med. 1976; 295, 349353.Google Scholar
39. Martinez, JA, Milagro, FI, Claycombe, KJ, Schalinske, KL. Epigenetics in adipose tissue, obesity, weightloss, and diabetes. Adv Nutr. 2014; 5, 7181.Google Scholar
40. Milagro, FI, Mansego, ML, Miguel, C, Martínez, JA. Dietary factors, epigenetic modifications and obesity outcomes, progresses and perspectives. Mol Aspects Med. 2013; 34, 782812.Google Scholar
41. Zhang, FF, Cardarelli, R, Carroll, J, et al. Physical activity and global genomic DNA methylation in a cancer-free population. Epigenetics. 2011; 6, 293299.Google Scholar
42. Phelan, S, Hart, C, Phipps, M, et al. Maternal behaviors during pregnancy impact offspring obesity risk. Exp Diabetes Res. 2011; 2011, 985139.Google Scholar
43. Hopkins, SA, Baldi, JC, Cutfield, WS, McCowan, L, Hofman, PL. Exercise training in pregnancy reduces offspring size without changes in maternal insulin sensitivity. J Clin Endocrinol Metab. 2010; 95, 20802088.Google Scholar
44. Barrès, R, Yan, J, Egan, B, et al. Acute exercise remodels promoter methylation in human skeletal muscle. Cell Metab. 2012; 15, 405411.Google Scholar
45. Chan, MC, Arany, Z. The many roles of PGC-1a in muscle-recent developments. Metabolism. 2014; 63, 441451.CrossRefGoogle Scholar
46. Laker, RC, Lillard, TS, Okutsu, M, et al. Exercise prevents maternal high-fat diet-induced hypermethylation of the PGC-1a gene and age-dependent metabolic dysfunction in the offspring. Diabetes. 2014; 63, 16051611.Google Scholar
47. Oken, E, Ning, Y, Rifas-Shiman, SL, et al. Associations of physical activity and inactivity before and during pregnancy with glucose tolerance. Obstet Gynecol. 2006; 108, 12001207.Google Scholar
48. Mathias, PC, Elmhiri, G, de Oliveira, JC, et al. Maternal diet, bioactive molecules, and exercising as reprogramming tools of metabolic programming. Eur J Nutr. 2014; 53, 711722.Google Scholar
49. Torun, B, Viteri, FE. Influence of exercise on linear growth. Eur J Clin Nutr. 1994; 48, 186189.Google Scholar
50. Cambri, LT, Araujo, GG, Ghezzi, AC, et al. Metabolic responses to acute physical exercise in young rats recovered from fetal protein malnutrition with a fructose rich diet. Lipids Health Dis. 2011; 10, 164.Google Scholar