Login | Register

Regional adiposity and markers of inflammation in pre-school age children


Regional adiposity and markers of inflammation in pre-school age children

Delaney, Kerri Z. ORCID: https://orcid.org/0000-0003-3937-3317, Vanstone, Catherine A., Weiler, Hope A. and Santosa, Sylvia ORCID: https://orcid.org/0000-0001-5814-6086 (2018) Regional adiposity and markers of inflammation in pre-school age children. Scientific Reports, 8 (1). ISSN 2045-2322

Text (application/pdf)
Santosa-Nature Scientific Reports-2018.pdf - Published Version
Available under License Creative Commons Attribution.

Official URL: http://dx.doi.org/10.1038/s41598-018-33054-1


In adults, upper body fat partially increases metabolic disease risk through increasing systemic inflammation. Our objective was to determine if this relationship exists in preschool-aged children. A subset of children (n = 71, 35 males), 3.7 ± 1.0 y, were studied from n = 515 children recruited from randomly selected daycares in Montréal, QC. According to WHO charts for 2–5 y, 49 children were healthy weight (HW) and 21 were overweight (OW). Adiposity was determined through dual-energy x-ray absorptiometry. Blood concentrations of C-reactive protein (CRP) and tumour necrosis factor alpha (TNFα) were determined via enzyme-linked immunosorbent and multiplex assays, respectively. OW children had higher (p = 0.03) android:gynoid ratio 0.50 ± 0.09 compared to HW children 0.56 ± 0.12, indicating excess fat was predominantly stored in the abdominal depot. CRP was higher (p = 0.01) in OW children 1.45 ± 2.02 mg/L compared to HW 0.74 ± 1.38 mg/L. Percent fat was correlated with CRP (r = 0.32; p < 0.01) and TNFα (r = 0.25; p = 0.04) concentrations. CRP also correlated with android adiposity (r = 0.24; p = 0.04) and TNFα correlated with gynoid adiposity (r = 0.24; p = 0.04). We observed that greater adiposity is associated with higher systemic inflammation in pre-school aged children. Future longitudinal studies are needed to understand the long term consequences of excess total and regional body fat in young children.

Divisions:Concordia University > Faculty of Arts and Science > Health, Kinesiology and Applied Physiology
Item Type:Article
Authors:Delaney, Kerri Z. and Vanstone, Catherine A. and Weiler, Hope A. and Santosa, Sylvia
Journal or Publication:Scientific Reports
  • Concordia Open Access Author Fund
  • The Dairy Farmers of Canada
  • The Canada Foundation for Innovation
  • The Beef Information Council
Digital Object Identifier (DOI):10.1038/s41598-018-33054-1
ID Code:984682
Deposited On:14 Nov 2018 14:18
Last Modified:14 Nov 2018 14:18


1. StatsCanada. Table 105–2026 (2015).

2. Wellen, K. E. & Hotamisligil, G. S. Obesity-induced inflammatory changes in adipose tissue. J Clin Invest 112, 1785–1788, https://doi.org/10.1172/JCI20514 (2003).

3. Manigrasso, M. R. et al. Association between circulating adiponectin and interleukin-10 levels in android obesity: effects of weight loss. J Clin Endocrinol Metab 90, 5876–5879, https://doi.org/10.1210/jc.2005-0281 (2005).

4. Koster, A. et al. Body fat distribution and inflammation among obese older adults with and without metabolic syndrome. Obesity (Silver Spring) 18, 2354–2361, https://doi.org/10.1038/oby.2010.86 (2010).

5. Wiklund, P. et al. Abdominal and gynoid fat mass are associated with cardiovascular risk factors in men and women. J Clin Endocrinol Metab 93, 4360–4366, https://doi.org/10.1210/jc.2008-0804 (2008).

6. Patel, P. & Abate, N. Body fat distribution and insulin resistance. Nutrients 5, 2019–2027, https://doi.org/10.3390/nu5062019 (2013).

7. Coppack, S. W. Pro-inflammatory cytokines and adipose tissue. Proc Nutr Soc 60, 349–356 (2001).

8. Trayhurn, P. & Wood, I. S. Signalling role of adipose tissue: adipokines and inflammation in obesity. Biochem Soc Trans 33, 1078–1081, https://doi.org/10.1042/BST20051078 (2005).

9. de Heredia, F. P., Gomez-Martinez, S. & Marcos, A. Obesity, inflammation and the immune system. Proc Nutr Soc 71, 332–338, https://doi.org/10.1017/S0029665112000092 (2012).

10. Hotamisligil, G. S., Arner, P., Caro, J. F., Atkinson, R. L. & Spiegelman, B. M. Increased adipose tissue expression of tumor necrosis factor-alpha in human obesity and insulin resistance. J Clin Invest 95, 2409–2415, https://doi.org/10.1172/JCI117936 (1995).

11. Nicklas, B. J. et al. Diet-induced weight loss, exercise, and chronic inflammation in older, obese adults: a randomized controlled clinical trial. Am J Clin Nutr 79, 544–551 (2004).

12. Manco, M. et al. Effect of massive weight loss on inflammatory adipocytokines and the innate immune system in morbidly obese women. J Clin Endocrinol Metab 92, 483–490, https://doi.org/10.1210/jc.2006-0960 (2007).

13. van Beek, L. et al. Increased systemic and adipose tissue inflammation differentiates obese women with T2DM from obese women with normal glucose tolerance. Metabolism 63, 492–501, https://doi.org/10.1016/j.metabol.2013.12.002 (2014).

14. Halle, M., Korsten-Reck, U., Wolfarth, B. & Berg, A. Low-grade systemic inflammation in overweight children: impact of physical fitness. Exerc Immunol Rev 10, 66–74 (2004).

15. Retnakaran, R., Hanley, A. J., Connelly, P. W., Harris, S. B. & Zinman, B. Elevated C-reactive protein in Native Canadian children: an ominous early complication of childhood obesity. Diabetes Obes Metab 8, 483–491, https://doi.org/10.1111/j.1463-1326.2006.00533.x (2006).
16. Abdullah, A. R., Hasan, H. A. & Raigangar, V. L. Analysis of the relationship of leptin, high-sensitivity C-reactive protein, adiponectin, insulin, and uric acid to metabolic syndrome in lean, overweight, and obese young females. Metab Syndr Relat Disord 7, 17–22, https://doi.org/10.1089/met.2008.0045 (2009).

17. Rosa, J. S. et al. Inflammatory cytokine profiles during exercise in obese, diabetic, and healthy children. J Clin Res Pediatr Endocrinol 3, 115–121, https://doi.org/10.4274/jcrpe.v3i3.23 (2011).

18. Ruiz, J. R., Ortega, F. B., Warnberg, J. & Sjostrom, M. Associations of low-grade inflammation with physical activity, fitness and fatness in prepubertal children; the European Youth Heart Study. Int J Obes (Lond) 31, 1545–1551, https://doi.org/10.1038/sj.ijo.0803693 (2007).

19. Alvarez, J. A. et al. Fasting and postprandial markers of inflammation in lean and overweight children. Am J Clin Nutr 89, 1138–1144, https://doi.org/10.3945/ajcn.2008.26926 (2009).

20. Skinner, A. C., Steiner, M. J., Henderson, F. W. & Perrin, E. M. Multiple markers of inflammation and weight status: cross-sectional analyses throughout childhood. Pediatrics 125, e801–809, https://doi.org/10.1542/peds.2009-2182 (2010).

21. Ouyang, S. et al. Association between serum soluble tumor necrosis factor-alpha receptors and early childhood obesity. Endocr J 63, 581–587, https://doi.org/10.1507/endocrj.EJ15-0628 (2016).

22. El Hayek, J. et al. Vitamin D status in Montreal preschoolers is satisfactory despite low vitamin D intake. J Nutr 143, 154–160, https://doi.org/10.3945/jn.112.169144 (2013).

23. Organization, W. H. WHO Growth Charts. (2018).

24. Bastard, J. P. et al. Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw 17, 4–12 (2006).

25. Mathieu, P., Lemieux, I. & Despres, J. P. Obesity, inflammation, and cardiovascular risk. Clin Pharmacol Ther 87, 407–416, https://doi.org/10.1038/clpt.2009.311 (2010).

26. Ridker, P. M. Clinical application of C-reactive protein for cardiovascular disease detection and prevention. Circulation 107, 363–369 (2003).

27. Eisenmann, J. C., Heelan, K. A. & Welk, G. J. Assessing body composition among 3- to 8-year-old children: anthropometry, BIA, and DXA. Obes Res 12, 1633–1640, https://doi.org/10.1038/oby.2004.203 (2004).

28. Singh, A. S., Mulder, C., Twisk, J. W., van Mechelen, W. & Chinapaw, M. J. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev 9, 474–488, https://doi.org/10.1111/j.1467-789X.2008.00475.x (2008).

29. Simmonds, M. et al. The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: a systematic review and meta-analysis. Health Technol Assess 19, 1–336, https://doi.org/10.3310/hta19430 (2015).

30. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser 854, 1–452 (1995).

31. Staiano, A. E., Gupta, A. K. & Katzmarzyk, P. T. Cardiometabolic risk factors and fat distribution in children and adolescents. J Pediatr 164, 560–565, https://doi.org/10.1016/j.jpeds.2013.10.064 (2014).

32. Lamontagne, P. & Hamel, D. Le poids corporel chez les enfants et adolescents du Québec: de 1978 à 2005. Institut national de santé publique du Québec (2009).
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Back to top Back to top