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Plasma Sfrp5 and adiponectin levels in relation to blood pressure among obese children

Journal of Human Hypertension volume 31, pages 284–291 (2017)Cite this article

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Abstract

The aim was to clarify the associations of five adipocytokines: Sfrp5, Wnt5a, adiponectin, chemerin and high-sensitivity C-reactive protein (hsCRP) with blood pressure (BP), and to examine whether BP can be influenced by changes in these adipocytokines in obese children after a 6-month lifestyle intervention. We conducted a cross-sectional study in 263 obese children and performed a 6-month lifestyle intervention in a subgroup of 89 obese children with hypertension. Anthropometric data, adiponectin, chemerin, Sfrp5 and Wnt5a were assessed at baseline and after 6-month lifestyle intervention. Sfrp5 and adiponectin serum levels were significantly lower in obese children with hypertension, but Wnt5a, hsCRP and chemerin serum levels were elevated in obese children with hypertension. In multivariable linear regression analysis, Sfrp5, Wnt5a, adiponectin, chemerin and hsCRP were associated with both standard deviation score-systolic blood pressure (SDS-SBP) and -diastolic blood pressure (SDS-DBP). Lifestyle intervention resulted in a significant improvement in BP and weight loss. These were accompanied by significant decreases in hsCRP and chemerin, and significant increases in Sfrp5 and adiponectin, whereas Wnt5a was not changed. Furthermore, the changes in Sfrp5 and adiponectin act as partial mediators of the relationship between weight loss and BP reduction after controlling for covariates. Although Sfrp5, Wnt5a, adiponectin, chemerin and hsCRP levels are correlated with BP at baseline, after lifestyle intervention, the relationship between weight loss and BP reduction were partially mediated by changes in Sfrp5 and adiponectin after controlling for covariates. So we speculate that Sfrp5 and adiponectin may have some influence on BP.

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References

  1. Wang Y, Lobstein T . Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes 2006; 1: 11–25.

    Article  Google Scholar 

  2. Babinska K, Kovacs L, Janko V, Dallos T, Feber J . Association between obesity and the severity of ambulatory hypertension in children and adolescents. J Am Soc Hypertens 2012; 6: 356–363.

    Article  CAS  Google Scholar 

  3. Targher G, Day CP, Bonora E . Risk of cardiovascular disease in patients with nonalcoholic fatty liver disease. N Engl J Med 2010; 363: 1341–1350.

    Article  CAS  Google Scholar 

  4. Reinehr T, Andler W . Changes in the atherogenic risk factor profile according to degree of weight loss. Arch Dis Child 2004; 89: 419–422.

    Article  CAS  Google Scholar 

  5. Hvidt KN, Olsen MH, Ibsen H . Effect of changes in BMI and waist circumference on ambulatory blood pressure in obese children and adolescents. J Hypertens 2014; 32 (7): 1470–1477.

    Article  CAS  Google Scholar 

  6. Gray L, Lee IM, Sesso HD, Batty GD . Blood pressure in early adulthood, hypertension in middle age, and future cardiovascular disease mortality: Hahs. J Am Coll Cardiol 2011; 58: 2396–2403.

    Article  Google Scholar 

  7. MacDougald OA, Burant CF . The rapidly expanding family of adipokines. Cell Metab 2007; 6: 159–161.

    Article  CAS  Google Scholar 

  8. Landgraf K, Friebe D, Ullrich T, Kratzsch J, Dittrich K, Herberth G et al. Chemerin as a mediator between obesity and vascular inflammation in children. J Clin Endocrinol Metab 2012; 97 (4): E556–E564.

    Article  CAS  Google Scholar 

  9. Iwashima Y, Katsuya T, Ishikawa K, Ouchi N, Ohishi M, Sugimoto K et al. Hypoadiponectinemia is an independent risk factor for hypertension. Hypertension 2004; 43: 1318–1323.

    Article  CAS  Google Scholar 

  10. Laudes M . Role of WNT signalling in the determination of human mesenchymal stem cells into preadipocytes. J Mol Endocrinol 2011; 46: R65–R72.

    CAS  PubMed  Google Scholar 

  11. Lagathu C, Christodoulides C, Tan CY, Virtue S, Laudes M, Campbell M et al. Secreted frizzled-related protein 1 regulates adipose tissue expansion and isdysregulated in severe obesity. Int J Obes 2010; 34: 1695–1705.

    Article  CAS  Google Scholar 

  12. Ouchi N, Higuchi A, Ohashi K, Oshima Y, Gokce N, Shibata R et al. Sfrp5 is an anti-inflammatory adipokine that modulates metabolic dysfunction in obesity. Science 2010; 329 (5990): 454–457.

    Article  CAS  Google Scholar 

  13. Lagathu C, Christodoulides C, Virtue S, Cawthorn WP, Franzin C, Kimber W et al. Dact1, a nutritionally regulated preadipocyte gene, controls adipogenesis by coordinating the Wnt/beta-catenin signaling network. Diabetes 2009; 58: 609–169.

    Article  CAS  Google Scholar 

  14. Hu W, Li L, Yang M, Luo X, Ran W, Liu D et al. Circulating Sfrp5 is a signature of obesity-related metabolic disorders and is regulated by glucose and liraglutide in humans. J Clin Endocrinol Metab 2012; 98: 290–298.

    Article  Google Scholar 

  15. Li H, Ji C, Zong X, Zhang YQ . Body mass index growth curves for Chinese children and adolescents aged 0 to 18 years. Chin J Pediatr 2009; 47: 493–498.

    Google Scholar 

  16. Stergiou GS, Yiannes NG, Rarra VC . Validation of the Omron 705I Toscillometric device for home blood pressure measurement in children and adolescents: the Arsakion School Study. Blood Press Monit 2006; 11: 229–234.

    Article  Google Scholar 

  17. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004; 114: 555–576.

    Article  Google Scholar 

  18. Mi J, Wang T, Meng LH, Zhu GJ, Han SM, Zhong Y et al. Development of blood pressure reference standards for Chinese children. Chin J Evid Based Pediatr 2010; 5: 4–14.

    Google Scholar 

  19. Baron RM, Kenny DA . The moderator mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 1986; 51: 1173–1182.

    Article  CAS  Google Scholar 

  20. Sobel ME . Asymptotic confidence intervals for indirect effects in structural equation models. Sociol Methodol 1982; 13: 290–312.

    Article  Google Scholar 

  21. Rosner B, Cook NR, Daniels S, Falkner B . Childhood blood pressure trends and risk factors for high blood pressure: the NHANES experience 1988–2008. Hypertension 2013; 62: 247–254.

    Article  CAS  Google Scholar 

  22. Howe LD, Tilling K, Benfield L, Logue J, Sattar N, Ness AR et al. Changes in ponderal index and body mass index across childhood and their associations with fat mass and cardiovascular risk factors at age 15. PLoS ONE 2010; 5: e15186.

    Article  Google Scholar 

  23. Friedemann C, Heneghan C, Mahtani K . Cardiovascular disease risk in healthy children and its association with body mass index: systematic review and meta-analysis. BMJ 2012; 345: e4759.

    Article  Google Scholar 

  24. Watts K, Bell LM, Byrne SM, Jones TW, Davis EA . Waist circumference predicts cardiovascular risk in young Australian children. J Paediatr Child Health 2008; 44: 709–715.

    Article  Google Scholar 

  25. Zhang X, Patel A, Horibe H . For the Asia Pacific Cohort Studies Collaboration. Cholesterol, coronary heart disease, and stroke in the AsiaPacific region. Int J Epidemiol 2003; 32: 563–572.

    Article  CAS  Google Scholar 

  26. Heart Protection Study Collaborative Group. MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 20536 high-risk individuals: a randomised placebo-controlled trial. Lancet 2002; 360: 7–22.

    Article  Google Scholar 

  27. Szmitko PE, Wang CH, Weisel RD, Jeffries GA, Anderson TJ, Verma S . Biomarkers of vascular disease linking inflammation to endothelial activation. Part II. Circulation 2003; 108: 2041–2048.

    Article  Google Scholar 

  28. Nguyen S, McCulloch C, Brakeman P, Portale A, Hsu CY . Being overweight modifies the association between cardiovascular risk factors and microalbuminuria in adolescents. Pediatrics 2008; 121: 37–45.

    Article  Google Scholar 

  29. Sesso HD, Buring JE, Rifai N, Blake GJ, Gaziano JM, Ridker PM . C-reactive protein and the risk of developing hypertension. JAMA 2003; 290: 2945–2951.

    Article  CAS  Google Scholar 

  30. Shatat IF, Freeman KD, Vuguin PM, Dimartino-Nardi JR, Flynn JT . Relationship between adiponectin and ambulatory blood pressure in obese adolescents. Pediatr Res 2009; 65: 691–695.

    Article  CAS  Google Scholar 

  31. Lehrke M, Becker A, Greif M, Stark R, Laubender RP, von Ziegler F et al. Chemerin is associated with markers of inflammation and components of the metabolic syndrome but does not predict coronary atherosclerosis. Eur J Endocrinol 2009; 161: 339–344.

    Article  CAS  Google Scholar 

  32. Carstensen M, Herder C, Kempf K, Erlund I, Martin S, Koenig W et al. Sfrp5 correlates with insulin resistance and oxidative stress. Eur J Clin Invest 2013; 43: 350–357.

    Article  CAS  Google Scholar 

  33. Ehrlund A, Mejhert N, Lorente-Cebrian S, Astrom G, Dahlman I, Laurencikiene J et al. Characterization of the Wnt inhibitors secreted frizzled-related proteins (SFRPs) in human adipose tissue. J Clin Endocrinol Metab 2013; 98: E503–E508.

    Article  CAS  Google Scholar 

  34. Marinou K, Christodoulides C, Antoniades C, Koutsilieris M . Wnt signaling in cardiovascular physiology. Trends Endocrinol Metab 2012; 23: 628–636.

    Article  CAS  Google Scholar 

  35. Ashley FW, Kannel WB . Relationship to weight change in atherogenic traits: the Framingham study. J Chron Dis 1974; 27: 103–114.

    Article  Google Scholar 

  36. Holm JC, Gamborg M, Neland M, Ward L, Gammeltoft S, Heitmann BL et al. Longitudinal changes in blood pressure during weight loss and regain of weight in obese boys and girls. J Hypertens 2012; 30: 368–374.

    Article  CAS  Google Scholar 

  37. Pajunen P, Jousilahti P, Borodulin K, Harald K, Tuomilehto J, Salomaa V . Body fat measured by a near-infrared interactance device as a predictor of cardiovascular events: The FINRISK’92 cohort. Obesity 2011; 19: 848–852.

    Article  Google Scholar 

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Acknowledgements

We thank Xiaodong Weng, Meizhen Zhang, Jing Li and Ming Li for their help. This work was supported by the Nature Science Foundation of China No. 81172689. The major research funding schemes of the Second Affiliated Hospital of Xi'an Jiaotong University No. YJ (ZDJH) 201303(3).n.

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Authors and Affiliations

  1. Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi’an, Shan Xi, People’s Republic of China

    C Yin & Y Xiao

  2. Department of Pediatrics, The First Hospital of Xi'an, Xi’an, Shan Xi, People’s Republic of China

    H Chu

  3. Department of Endocrinology and Metabolism, The Children's Hospital of Xi'an, Xi'an, Shan Xi, People’s Republic of China

    H Li

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Correspondence to Y Xiao.

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Yin, C., Chu, H., Li, H. et al. Plasma Sfrp5 and adiponectin levels in relation to blood pressure among obese children. J Hum Hypertens 31, 284–291 (2017). https://doi.org/10.1038/jhh.2016.76

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