Skip to main content
Log in

Plasma fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus

  • Original Article
  • Published:
Acta Diabetologica Aims and scope Submit manuscript

A Correction to this article was published on 18 July 2018

This article has been updated

Abstract

Aims

Fatty acid-binding protein 4 (FABP4) is mainly expressed in adipocytes and macrophages and is demonstrated to be elevated in diabetes patients. The aim of this study was to evaluate the possible role of FABP4 in the diagnosis of GDM and to investigate the relationship between FABP4 and overweight, insulin resistance and inflammatory marker TNF-α.

Methods

A total of 46 women with GDM and 55 age-matched pregnant women without GDM (non-GDM) were eligible for the study. Demographic and biochemical parameters and fasting venous blood samples of two groups were collected from all cases. Serum concentrations of FABP4 were determined using enzyme-linked immunosorbent assay (ELISA). The predictive value of Serum FABP4 level was evaluated using receiver operating characteristic curve (ROC curve) analysis.

Results

We found that the serum FABP4 levels were significantly higher in GDM compared to the non-GDM group. The area under the ROC curve assay yielded a satisfactory result of 0.94 (95 % confidence interval 0.90–0.98; p < 0.001). The best compromise between 86.96 % specificity and 89.09 % sensitivity was obtained with a cutoff value of 1.96 ng/mL for GDM diagnosis. Moreover, a significant positive correlation was observed between FABP4 and overweight, insulin resistance and TNF-α in pregnant women with GDM.

Conclusions

These results suggest that serum FABP4 may potentially serve as a novel biomarker for the prediction of GDM.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Change history

  • 18 July 2018

    The title “Plasma fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus” should be replaced by “Serum fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus”.

References

  1. Group HSCR, Metzger BE, Lowe LP et al (2008) Hyperglycemia and adverse pregnancy outcomes. N Engl J Med 358:1991–2002. doi:10.1056/NEJMoa0707943

    Article  Google Scholar 

  2. Ben-Haroush A, Yogev Y, Hod M (2004) Epidemiology of gestational diabetes mellitus and its association with type 2 diabetes. Diabet Med 21:103–113

    Article  PubMed  CAS  Google Scholar 

  3. El-Chaar D, Finkelstein SA, Tu X et al (2013) The impact of increasing obesity class on obstetrical outcomes. J Obstet Gynaecol Can 35:224–233

    Article  PubMed  Google Scholar 

  4. Kim SY, Saraiva C, Curtis M, Wilson HG, Troyan J, Sharma AJ (2013) Fraction of gestational diabetes mellitus attributable to overweight and obesity by race/ethnicity, California, 2007–2009. Am J Public Health 103:e65–e72. doi:10.2105/AJPH.2013.301469

    Article  PubMed  PubMed Central  Google Scholar 

  5. Boney CM, Verma A, Tucker R, Vohr BR (2005) Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics 115:e290–e296. doi:10.1542/peds.2004-1808

    Article  PubMed  Google Scholar 

  6. Crowther CA, Hiller JE, Moss JR (2005) Effect of treatment of gestational diabetes mellitus on pregnancy outcomes. N Engl J Med 352:2477–2486. doi:10.1056/NEJMoa042973

    Article  PubMed  CAS  Google Scholar 

  7. Yogev Y, Chen R, Hod M et al (2010) Hyperglycemia and adverse pregnancy outcome (HAPO) study: preeclampsia. Am J Obstet Gynecol 202(255):e251–e257. doi:10.1016/j.ajog.2010.01.024

    Article  CAS  Google Scholar 

  8. Fang P, Shi M, Yu M, Guo L, Bo P, Zhang Z (2014) Endogenous peptides as risk markers to assess the development of insulin resistance. Peptides 51:9–14. doi:10.1016/j.peptides.2013.10.025

    Article  PubMed  CAS  Google Scholar 

  9. Hunt CR, Ro JH, Dobson DE, Min HY, Spiegelman BM (1986) Adipocyte P2 gene: developmental expression and homology of 5′-flanking sequences among fat cell-specific genes. Proc Natl Acad Sci USA 83:3786–3790

    Article  PubMed  CAS  Google Scholar 

  10. Spiegelman BM, Frank M, Green H (1983) Molecular cloning of mRNA from 3T3 adipocytes. Regulation of mRNA content for glycerophosphate dehydrogenase and other differentiation-dependent proteins during adipocyte development. J Biol Chem 258:10083–10089

    PubMed  CAS  Google Scholar 

  11. Baxa CA, Sha RS, Buelt MK et al (1989) Human adipocyte lipid-binding protein: purification of the protein and cloning of its complementary DNA. Biochemistry 28:8683–8690

    Article  PubMed  CAS  Google Scholar 

  12. Amri EZ, Bertrand B, Ailhaud G, Grimaldi P (1991) Regulation of adipose cell differentiation I. Fatty acids are inducers of the aP2 gene expression. J Lipid Res 32:1449–1456

    PubMed  CAS  Google Scholar 

  13. Melki SA, Abumrad NA (1993) Expression of the adipocyte fatty acid-binding protein in streptozotocin-diabetes: effects of insulin deficiency and supplementation. J Lipid Res 34:1527–1534

    PubMed  CAS  Google Scholar 

  14. Xu A, Wang Y, Xu JY et al (2006) Adipocyte fatty acid-binding protein is a plasma biomarker closely associated with obesity and metabolic syndrome. Clin Chem 52:405–413. doi:10.1373/clinchem.2005.062463

    Article  PubMed  CAS  Google Scholar 

  15. Xu A, Tso AW, Cheung BM et al (2007) Circulating adipocyte-fatty acid binding protein levels predict the development of the metabolic syndrome: a 5-year prospective study. Circulation 115:1537–1543. doi:10.1161/CIRCULATIONAHA.106.647503

    Article  PubMed  CAS  Google Scholar 

  16. Tso AW, Xu A, Sham PC et al (2007) Serum adipocyte fatty acid binding protein as a new biomarker predicting the development of type 2 diabetes: a 10-year prospective study in a Chinese cohort. Diabetes Care 30:2667–2672. doi:10.2337/dc07-0413

    Article  PubMed  CAS  Google Scholar 

  17. Ota H, Furuhashi M, Ishimura S et al (2012) Elevation of fatty acid-binding protein 4 is predisposed by family history of hypertension and contributes to blood pressure elevation. Am J Hypertens 25:1124–1130. doi:10.1038/ajh.2012.88

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Baessler A, Lamounier-Zepter V, Fenk S et al (2014) Adipocyte fatty acid-binding protein levels are associated with left ventricular diastolic dysfunction in morbidly obese subjects. Nutr Diabetes 4:e106. doi:10.1038/nutd.2014.3

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Fuseya T, Furuhashi M, Yuda S et al (2014) Elevation of circulating fatty acid-binding protein 4 is independently associated with left ventricular diastolic dysfunction in a general population. Cardiovasc Diabetol 13:126. doi:10.1186/s12933-014-0126-7

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. Reiser H, Klingenberg R, Hof D et al (2015) Circulating FABP4 is a prognostic biomarker in patients with acute coronary syndrome but not in asymptomatic individuals. Arterioscler Thromb Vasc Biol 35:1872–1879. doi:10.1161/ATVBAHA.115.305365

    Article  PubMed  CAS  Google Scholar 

  21. Parra S, Cabre A, Marimon F et al (2014) Circulating FABP4 is a marker of metabolic and cardiovascular risk in SLE patients. Lupus 23:245–254. doi:10.1177/0961203313517405

    Article  PubMed  CAS  Google Scholar 

  22. Djousse L, Gaziano JM (2012) Plasma levels of FABP4, but not FABP3, are associated with increased risk of diabetes. Lipids 47:757–762. doi:10.1007/s11745-012-3689-7

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Li YY, Xiao R, Li CP, Huangfu J, Mao JF (2015) Increased plasma levels of FABP4 and PTEN is associated with more severe insulin resistance in women with gestational diabetes mellitus. Med Sci Monit 21:426–431. doi:10.12659/MSM.892431

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. International Association of D, Pregnancy Study Groups Consensus P, Metzger BE et al (2010) International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care 33:676–682. doi:10.2337/dc09-1848

    Article  CAS  Google Scholar 

  25. Hartling L, Dryden DM, Guthrie A et al. (2012) Screening and diagnosing gestational diabetes mellitus. Evid Rep Technol Assess (Full Rep) 12:1–327

    Google Scholar 

  26. Agarwal MM (2015) Gestational diabetes mellitus: an update on the current international diagnostic criteria. World J Diabetes 6:782–791. doi:10.4239/wjd.v6.i6.782

    Article  PubMed  PubMed Central  Google Scholar 

  27. Kohler M, Ziegler AG, Beyerlein A (2015) Development of a simple tool to predict the risk of postpartum diabetes in women with gestational diabetes mellitus. Acta Diabetol. doi:10.1007/s00592-015-0814-0

    Article  PubMed  Google Scholar 

  28. Zhao C, Wang F, Wang P, Ding H, Huang X, Shi Z (2015) Early second-trimester plasma protein profiling using multiplexed isobaric tandem mass tag (TMT) labeling predicts gestational diabetes mellitus. Acta Diabetol 52:1103–1112. doi:10.1007/s00592-015-0796-y

    Article  PubMed  CAS  Google Scholar 

  29. He X, de Seymour JV, Sulek K et al (2016) Maternal hair metabolome analysis identifies a potential marker of lipid peroxidation in gestational diabetes mellitus. Acta Diabetol 53:119–122. doi:10.1007/s00592-015-0737-9

    Article  PubMed  Google Scholar 

  30. Bhavadharini B, Mahalakshmi MM, Maheswari K et al (2016) Use of capillary blood glucose for screening for gestational diabetes mellitus in resource-constrained settings. Acta Diabetol 53:91–97. doi:10.1007/s00592-015-0761-9

    Article  PubMed  CAS  Google Scholar 

  31. Megia A, Gil-Lluis P, Naf S et al (2015) Cord blood FGF21 in gestational diabetes and its relationship with postnatal growth. Acta Diabetol 52:693–700. doi:10.1007/s00592-014-0705-9

    Article  PubMed  Google Scholar 

  32. Cabre A, Lazaro I, Girona J et al (2008) Plasma fatty acid binding protein 4 is associated with atherogenic dyslipidemia in diabetes. J Lipid Res 49:1746–1751. doi:10.1194/jlr.M800102-JLR200

    Article  PubMed  CAS  Google Scholar 

  33. Rhee EJ, Lee WY, Park CY et al (2009) The association of serum adipocyte fatty acid-binding protein with coronary artery disease in Korean adults. Eur J Endocrinol 160:165–172. doi:10.1530/EJE-08-0665

    Article  PubMed  CAS  Google Scholar 

  34. Biron-Shental T, Schaiff WT, Ratajczak CK, Bildirici I, Nelson DM, Sadovsky Y (2007) Hypoxia regulates the expression of fatty acid-binding proteins in primary term human trophoblasts. Am J Obstet Gynecol 197(516):e511–e516. doi:10.1016/j.ajog.2007.03.066

    Article  CAS  Google Scholar 

  35. Makkar A, Mishima T, Chang G, Scifres C, Sadovsky Y (2014) Fatty acid binding protein-4 is expressed in the mouse placental labyrinth, yet is dispensable for placental triglyceride accumulation and fetal growth. Placenta 35:802–807. doi:10.1016/j.placenta.2014.07.008

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Nourani MR, Owada Y, Kitanaka N et al (2005) Occurrence of immunoreactivity for adipocyte-type fatty acid binding protein in degenerating granulosa cells in atretic antral follicles of mouse ovary. J Mol Histol 36:491–497. doi:10.1007/s10735-006-9024-y

    Article  PubMed  CAS  Google Scholar 

  37. Fasshauer M, Seeger J, Waldeyer T et al (2008) Serum levels of the adipokine adipocyte fatty acid-binding protein are increased in preeclampsia. Am J Hypertens 21:582–586. doi:10.1038/ajh.2008.23

    Article  PubMed  CAS  Google Scholar 

  38. Shangguan X, Liu F, Wang H, He J, Dong M (2009) Alterations in serum adipocyte fatty acid binding protein and retinol binding protein-4 in normal pregnancy and preeclampsia. Clin Chim Acta 407:58–61. doi:10.1016/j.cca.2009.06.031

    Article  PubMed  CAS  Google Scholar 

  39. Scifres CM, Catov JM, Simhan H (2012) Maternal serum fatty acid binding protein 4 (FABP4) and the development of preeclampsia. J Clin Endocrinol Metab 97:E349–E356. doi:10.1210/jc.2011-2276

    Article  PubMed  CAS  Google Scholar 

  40. Di Cianni G, Lencioni C, Volpe L et al (2007) C-reactive protein and metabolic syndrome in women with previous gestational diabetes. Diabetes Metab Res Rev 23:135–140. doi:10.1002/dmrr.661

    Article  PubMed  CAS  Google Scholar 

  41. Heitritter SM, Solomon CG, Mitchell GF, Skali-Ounis N, Seely EW (2005) Subclinical inflammation and vascular dysfunction in women with previous gestational diabetes mellitus. J Clin Endocrinol Metab 90:3983–3988. doi:10.1210/jc.2004-2494

    Article  PubMed  CAS  Google Scholar 

  42. Winzer C, Wagner O, Festa A et al (2004) Plasma adiponectin, insulin sensitivity, and subclinical inflammation in women with prior gestational diabetes mellitus. Diabetes Care 27:1721–1727

    Article  PubMed  CAS  Google Scholar 

  43. Fakhrzadeh H, Alatab S, Sharifi F et al (2012) Carotid intima media thickness, brachial flow mediated dilation and previous history of gestational diabetes mellitus. J Obstet Gynaecol Res 38:1057–1063. doi:10.1111/j.1447-0756.2011.01829.x

    Article  PubMed  Google Scholar 

  44. Baeten JM, Bukusi EA, Lambe M (2001) Pregnancy complications and outcomes among overweight and obese nulliparous women. Am J Public Health 91:436–440

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Sebire NJ, Jolly M, Harris JP et al (2001) Maternal obesity and pregnancy outcome: a study of 287,213 pregnancies in London. Int J Obes Relat Metab Disord 25:1175–1182. doi:10.1038/sj.ijo.0801670

    Article  PubMed  CAS  Google Scholar 

  46. Kim SY, Sappenfield W, Sharma AJ et al (2013) Racial/ethnic differences in the prevalence of gestational diabetes mellitus and maternal overweight and obesity, by nativity, Florida, 2004-2007. Obesity (Silver Spring) 21:E33–E40. doi:10.1002/oby.20025

    Article  Google Scholar 

  47. Kim C, Newton KM, Knopp RH (2002) Gestational diabetes and the incidence of type 2 diabetes: a systematic review. Diabetes Care 25:1862–1868

    Article  PubMed  Google Scholar 

  48. Aye IL, Lager S, Ramirez VI et al (2014) Increasing maternal body mass index is associated with systemic inflammation in the mother and the activation of distinct placental inflammatory pathways. Biol Reprod 90:129. doi:10.1095/biolreprod.113.116186

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  49. Kleiblova P, Dostalova I, Bartlova M et al (2010) Expression of adipokines and estrogen receptors in adipose tissue and placenta of patients with gestational diabetes mellitus. Mol Cell Endocrinol 314:150–156. doi:10.1016/j.mce.2009.08.002

    Article  PubMed  CAS  Google Scholar 

  50. Hauguel-de Mouzon S, Guerre-Millo M (2006) The placenta cytokine network and inflammatory signals. Placenta 27:794–798. doi:10.1016/j.placenta.2005.08.009

    Article  PubMed  CAS  Google Scholar 

  51. Jansson N, Rosario FJ, Gaccioli F et al (2013) Activation of placental mTOR signaling and amino acid transporters in obese women giving birth to large babies. J Clin Endocrinol Metab 98:105–113. doi:10.1210/jc.2012-2667

    Article  PubMed  CAS  Google Scholar 

  52. Jansson T, Ekstrand Y, Bjorn C, Wennergren M, Powell TL (2002) Alterations in the activity of placental amino acid transporters in pregnancies complicated by diabetes. Diabetes 51:2214–2219

    Article  PubMed  CAS  Google Scholar 

  53. Jones HN, Jansson T, Powell TL (2009) IL-6 stimulates system A amino acid transporter activity in trophoblast cells through STAT3 and increased expression of SNAT2. Am J Physiol Cell Physiol 297:C1228–C1235. doi:10.1152/ajpcell.00195.2009

    Article  PubMed  CAS  Google Scholar 

  54. Jones HN, Woollett LA, Barbour N, Prasad PD, Powell TL, Jansson T (2009) High-fat diet before and during pregnancy causes marked up-regulation of placental nutrient transport and fetal overgrowth in C57/BL6 mice. FASEB J 23:271–278. doi:10.1096/fj.08-116889

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  55. Pantham P, Aye IL, Powell TL (2015) Inflammation in maternal obesity and gestational diabetes mellitus. Placenta 36:709–715. doi:10.1016/j.placenta.2015.04.006

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Furuhashi M, Hiramitsu S, Mita T et al (2015) Reduction of serum FABP4 level by sitagliptin, a DPP-4 inhibitor, in patients with type 2 diabetes mellitus. J Lipid Res 56:2372–2380. doi:10.1194/jlr.M059469

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  57. Hotamisligil GS, Arner P, Caro JF, Atkinson RL, Spiegelman BM (1995) Increased adipose tissue expression of tumor necrosis factor-alpha in human obesity and insulin resistance. J Clin Invest 95:2409–2415. doi:10.1172/JCI117936

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Dandona P, Weinstock R, Thusu K, Abdel-Rahman E, Aljada A, Wadden T (1998) Tumor necrosis factor-alpha in sera of obese patients: fall with weight loss. J Clin Endocrinol Metab 83:2907–2910. doi:10.1210/jcem.83.8.5026

    Article  PubMed  CAS  Google Scholar 

  59. Ahima RS, Flier JS (2000) Adipose tissue as an endocrine organ. Trends Endocrinol Metab 11:327–332

    Article  PubMed  CAS  Google Scholar 

  60. Cao H, Sekiya M, Ertunc ME et al (2013) Adipocyte lipid chaperone AP2 is a secreted adipokine regulating hepatic glucose production. Cell Metab 17:768–778. doi:10.1016/j.cmet.2013.04.012

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  61. Phillips CM, Perry IJ (2013) Does inflammation determine metabolic health status in obese and nonobese adults? J Clin Endocrinol Metab 98:E1610–E1619. doi:10.1210/jc.2013-2038

    Article  PubMed  CAS  Google Scholar 

  62. Furuhashi M, Ishimura S, Ota H, Miura T (2011) Lipid chaperones and metabolic inflammation. Int J Inflam 2011:642612. doi:10.4061/2011/642612

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xingbo Zhao.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical standard

All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Human and animal rights

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Declaration of Helsinki 1975, as revised in 2008 (5).

Informed consent

Informed consent was obtained from all patients for being included in the study.

Additional information

Managed by Massimo Federici.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ning, H., Tao, H., Weng, Z. et al. Plasma fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus. Acta Diabetol 53, 891–898 (2016). https://doi.org/10.1007/s00592-016-0867-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00592-016-0867-8

Keywords

Navigation