Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Pediatric Highlight
  • Published:

The increase of fatty acid-binding protein aP2 in overweight and obese children: interactions with dietary fat and impact on measures of subclinical inflammation

Abstract

Background:

In adults, circulating aP2 may link obesity, inflammation and the metabolic syndrome, but there are few data in children. Experimental models support that dietary factors, particularly dietary fat, may be major determinants of phenotype.

Objective:

The aim of this study was to investigate, in normal, overweight and obese children, the relationships among aP2, the metabolic syndrome, inflammation and diet.

Design:

This was a cross-sectional study conducted in Northern Switzerland.

Subjects:

Subjects for this study were 6- to 14-year-old, prepubertal and early pubertal, normal weight, overweight and obese children (n=124).

Main outcome measures:

Body mass index (BMI), body fat percent, waist-to-hip ratio, blood pressure, circulating aP2, fasting insulin, C-reactive protein (CRP), plasma lipids and dietary intakes of macro- and micronutrients were determined.

Results:

Circulating aP2 markedly increased with increasing central and total adiposity, and predicted measures of insulin resistance. Independent of BMI standard deviation scores and puberty, aP2 correlated with intake of the antioxidant vitamins A, C and E as well as circulating concentrations of CRP, leptin and low-density lipoprotein cholesterol. Children with lower aP2 concentrations consuming high-fat diets did not show an increase in fasting insulin or CRP, whereas those with higher aP2 concentrations showed marked increases in these measures with high intakes of fat or saturated fat.

Conclusions:

Increased central and overall adiposity in children are associated with higher circulating aP2 concentrations. In children with high dietary intakes of total fat and saturated fat, but not those with low intakes, higher aP2 concentrations are associated with measures of insulin resistance and inflammation.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2

References

  1. Boord JB, Fazio S, Linton MF . Cytoplasmic fatty acid-binding proteins: emerging roles in metabolism and atherosclerosis. Curr Opin Lipidol 2002a; 13: 141–147.

    Article  CAS  Google Scholar 

  2. Boord JB, Maeda K, Makowski L, Babaev VR, Fazio S, Linton MF et al. Adipocyte fatty acid-binding protein, aP2, alters late atherosclerotic lesion formation in severe hypercholesterolemia. Arterioscler Thromb Vasc Biol 2002b; 22: 1686–1691.

    Article  CAS  Google Scholar 

  3. Makowski L, Hotamisligil GS . Fatty acid binding proteins–the evolutionary crossroads of inflammatory and metabolic responses. J Nutr 2004; 134: 2464S–2468S.

    Article  CAS  Google Scholar 

  4. Stejskal D, Karpisek M . Adipocyte fatty acid binding protein in a Caucasian population: a new marker of metabolic syndrome? Eur J Clin Invest 2006; 36: 621–625.

    Article  CAS  Google Scholar 

  5. Xu A, Wang Y, Xu JY, Stejskal D, Tam S, Zhang J et al. Adipocyte fatty acid-binding protein is a plasma biomarker closely associated with obesity and metabolic syndrome. Clin Chem 2006; 52: 405–413.

    Article  CAS  Google Scholar 

  6. Cabre A, Lazaro I, Girona J, Manzanares JM, Marimon F, Plana N et al. Fatty acid binding protein 4 is increased in metabolic syndrome and with thiazolidinedione treatment in diabetic patients. Atherosclerosis 2007; 195: e150–e158.

    Article  CAS  Google Scholar 

  7. Xu A, Tso AW, Cheung BM, Wang Y, Wat NM, Fong CH et al. Circulating adipocyte-fatty acid binding protein levels predict the development of the metabolic syndrome: a 5-year prospective study. Circulation 2007; 115: 1537–1543.

    Article  CAS  Google Scholar 

  8. Layne MD, Patel A, Chen YH, Rebel VI, Carvajal IM, Pellacani A et al. Role of macrophage-expressed adipocyte fatty acid binding protein in the development of accelerated atherosclerosis in hypercholesterolemic mice. FASEB J 2001; 15: 2733–2735.

    Article  CAS  Google Scholar 

  9. Yeung DC, Xu A, Cheung CW, Wat NM, Yau MH, Fong CH et al. Serum adipocyte fatty acid-binding protein levels were independently associated with carotid atherosclerosis. Arterioscler Thromb Vasc Biol 2007; 27: 1796–1802.

    Article  CAS  Google Scholar 

  10. Shum BO, Mackay CR, Gorgun CZ, Frost MJ, Kumar RK, Hotamisligil GS et al. The adipocyte fatty acid-binding protein aP2 is required in allergic airway inflammation. J Clin Invest 2006; 116: 2183–2192.

    Article  CAS  Google Scholar 

  11. Hotamisligil GS, Johnson RS, Distel RJ, Ellis R, Papaioannou VE, Spiegelman BM . Uncoupling of obesity from insulin resistance through a targeted mutation in aP2, the adipocyte fatty acid binding protein. Science 1996; 274: 1377–1379.

    Article  CAS  Google Scholar 

  12. Maeda K, Cao H, Kono K, Gorgun CZ, Furuhashi M, Uysal KT et al. Adipocyte/macrophage fatty acid binding proteins control integrated metabolic responses in obesity and diabetes. Cell Metab 2005; 1: 107–119.

    Article  CAS  Google Scholar 

  13. Aeberli I, Molinari L, Spinas G, Lehmann R, L’Allemand D, Zimmermann MB . Dietary intakes of fat and antioxidant vitamins are predictors of subclinical inflammation in overweight Swiss children. Am J Clin Nutr 2006; 84: 748–755.

    Article  CAS  Google Scholar 

  14. Aeberli I, Biebinger R, Lehmann R, L’Allemand D, Spinas GA, Zimmermann MB . Serum retinol-binding protein 4 concentration and its ratio to serum retinol are associated with obesity and metabolic syndrome components in children. J Clin Endocrinol Metab 2007a; 92: 4359–4365.

    Article  CAS  Google Scholar 

  15. Aeberli I, Zimmermann MB, Molinari L, Lehmann R, l’Allemand D, Spinas GA et al. Fructose intake is a predictor of LDL particle size in overweight schoolchildren. Am J Clin Nutr 2007c; 86: 1174–1178.

    Article  CAS  Google Scholar 

  16. Lytle LA, Nichaman MZ, Obarzanek E, Glovsky E, Montgomery D, Nicklas T et al. Validation of 24-h recalls assisted by food records in third-grade children. The CATCH Collaborative Group. J Am Diet Assoc 1993; 93: 1431–1436.

    Article  CAS  Google Scholar 

  17. Infanger E . Schweizer Nährwerttabelle: Schweizerische Gesellschaft für Ernährung, SGE, Bern, Bundesamt für Gesundheit, BAG, Bern, Eidgenössische Technische Hochschule, ETH, Zürich, 2005.

    Google Scholar 

  18. D-A-CH. Referenzwerte für die Nährstoffzufuhr. Frankfurt am Main: Umschau/Braus, 2000.

  19. Ogden CL, Kuczmarski RJ, Flegal KM, Mei Z, Guo S, Wei R et al. Centers for Disease Control and Prevention 2000 growth charts for the United States: improvements to the 1977 National Center for Health Statistics version. Pediatrics 2002; 109: 45–60.

    Article  Google Scholar 

  20. Zimmermann MB, Gubeli C, Puntener C, Molinari L . Detection of overweight and obesity in a national sample of 6–12-y-old Swiss children: accuracy and validity of reference values for body mass index from the US Centers for Disease Control and Prevention and the International Obesity Task Force. Am J Clin Nutr 2004; 79: 838–843.

    Article  CAS  Google Scholar 

  21. Deurenberg P, Pieters JJ, Hautvast JG . The assessment of the body fat percentage by skinfold thickness measurements in childhood and young adolescence. Br J Nutr 1990; 63: 293–303.

    Article  CAS  Google Scholar 

  22. Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G et al. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 2000; 85: 2402–2410.

    Article  CAS  Google Scholar 

  23. Tuncman G, Erbay E, Hom X, De Vivo I, Campos H, Rimm EB et al. A genetic variant at the fatty acid-binding protein aP2 locus reduces the risk for hypertriglyceridemia, type 2 diabetes, and cardiovascular disease. Proc Natl Acad Sci USA 2006; 103: 6970–6975.

    Article  CAS  Google Scholar 

  24. Reinehr T, Stoffel-Wagner B, Roth CL . Adipocyte fatty acid-binding protein in obese children before and after weight loss. Metabolism 2007; 56: 1735–1741.

    Article  CAS  Google Scholar 

  25. Helledie T, Antonius M, Sorensen RV, Hertzel AV, Bernlohr DA, Kolvraa S et al. Lipid-binding proteins modulate ligand-dependent trans-activation by peroxisome proliferator-activated receptors and localize to the nucleus as well as the cytoplasm. J Lipid Res 2000; 41: 1740–1751.

    CAS  PubMed  Google Scholar 

  26. Makowski L, Hotamisligil GS . The role of fatty acid binding proteins in metabolic syndrome and atherosclerosis. Curr Opin Lipidol 2005; 16: 543–548.

    Article  CAS  Google Scholar 

  27. Veerkamp JH, van Moerkerk HT, Prinsen CF, van Kuppevelt TH . Structural and functional studies on different human FABP types. Mol Cell Biochem 1999; 192: 137–142.

    Article  CAS  Google Scholar 

  28. Zimmer JS, Dyckes DF, Bernlohr DA, Murphy RC . Fatty acid binding proteins stabilize leukotriene A4: competition with arachidonic acid but not other lipoxygenase products. J Lipid Res 2004; 45: 2138–2144.

    Article  CAS  Google Scholar 

  29. Saltiel AR, Kahn CR . Insulin signalling and the regulation of glucose and lipid metabolism. Nature 2001; 414: 799–806.

    Article  CAS  Google Scholar 

  30. Holland WL, Knotts TA, Chavez JA, Wang LP, Hoehn KL, Summers SA . Lipid mediators of insulin resistance. Nutr Rev 2007; 65: S39–S46.

    Article  Google Scholar 

  31. Miles JM, Nelson RH . Contribution of triglyceride-rich lipoproteins to plasma free fatty acids. Horm Metab Res 2007; 39: 726–729.

    Article  CAS  Google Scholar 

  32. Uysal KT, Scheja L, Wiesbrock SM, Bonner-Weir S, Hotamisligil GS . Improved glucose and lipid metabolism in genetically obese mice lacking aP2. Endocrinology 2000; 141: 3388–3396.

    Article  CAS  Google Scholar 

  33. Maeda K, Uysal KT, Makowski L, Gorgun CZ, Atsumi G, Parker RA et al. Role of the fatty acid binding protein mal1 in obesity and insulin resistance. Diabetes 2003; 52: 300–307.

    Article  CAS  Google Scholar 

  34. Normand S, Khalfallah Y, Louche-Pelissier C, Pachiaudi C, Antoine JM, Blanc S et al. Influence of dietary fat on postprandial glucose metabolism (exogenous and endogenous) using intrinsically (13)C-enriched durum wheat. Br J Nutr 2001; 86: 3–11.

    Article  CAS  Google Scholar 

  35. Ells LJ, Seal CJ, Kettlitz B, Bal W, Mathers JC . Postprandial glycaemic, lipaemic and haemostatic responses to ingestion of rapidly and slowly digested starches in healthy young women. Br J Nutr 2005; 94: 948–955.

    Article  CAS  Google Scholar 

  36. Fu Y, Luo N, Lopes-Virella MF . Oxidized LDL induces the expression of ALBP/aP2 mRNA and protein in human THP-1 macrophages. J Lipid Res 2000; 41: 2017–2023.

    CAS  PubMed  Google Scholar 

  37. Fu Y, Luo L, Luo N, Garvey WT . Lipid metabolism mediated by adipocyte lipid binding protein (ALBP/aP2) gene expression in human THP-1 macrophages. Atherosclerosis 2006; 188: 102–111.

    Article  CAS  Google Scholar 

  38. Kaliora AC, Dedoussis GV, Schmidt H . Dietary antioxidants in preventing atherogenesis. Atherosclerosis 2006; 187: 1–17.

    Article  CAS  Google Scholar 

  39. Livingstone MB . Childhood obesity in Europe: a growing concern. Public Health Nutr 2001; 4: 109–116.

    Article  CAS  Google Scholar 

  40. Magarey AM, Daniels LA, Boulton TJ, Cockington RA . Does fat intake predict adiposity in healthy children and adolescents aged 2–15 y? A longitudinal analysis. Eur J Clin Nutr 2001; 55: 471–481.

    Article  CAS  Google Scholar 

  41. Livingstone MB, Black AE . Markers of the validity of reported energy intake. J Nutr 2003; 133 (Suppl 3): 895S–920S.

    Article  CAS  Google Scholar 

  42. Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA et al. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 1991; 45: 569–581.

    CAS  PubMed  Google Scholar 

  43. Aeberli I, Kaspar M, Zimmermann MB . Dietary intake and physical activity of normal weight and overweight 6 to 14 year old Swiss children. Swiss Med Wkly 2007b; 137: 424–430.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the participating children and families, and special thanks to MT Achermann, H Seiler (University Hospital Zurich), RF Hurrell, K Hotz and C Zeder (ETH Zurich), I Hutter (Children's Hospital, St Gallen) as well as the staff from the Children's Hospitals in Biel and Basel. The study was financially supported by the Swiss Foundation for Nutrition Research (SFEFS, Zurich, Switzerland). Each of the authors contributed to the study design. IA, NB, MBZ, RL, GS and DA performed the fieldwork and the data collection. IA, NB, MBZ and GS, supervised the laboratory analysis and completed the data analysis. IA, NB and MBZ conducted the statistical analysis. The first draft of the paper was written by IA and MBZ. All authors edited the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to I Aeberli.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Aeberli, I., Beljean, N., Lehmann, R. et al. The increase of fatty acid-binding protein aP2 in overweight and obese children: interactions with dietary fat and impact on measures of subclinical inflammation. Int J Obes 32, 1513–1520 (2008). https://doi.org/10.1038/ijo.2008.128

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ijo.2008.128

Keywords

This article is cited by

Search

Quick links