Diabetes Metab J.  2015 Feb;39(1):82-83. 10.4093/dmj.2015.39.1.82.

Letter: GDF15 Is a Novel Biomarker for Impaired Fasting Glucose (Diabetes Metab J 2014;38:472-9)

• Koo BK

• KMID: 2280661
• DOI: http://doi.org/10.4093/dmj.2015.39.1.82

Abstract

No abstract available.

MeSH Terms

Fasting*
Glucose*
Glucose

Reference

1. Unsicker K, Spittau B, Krieglstein K. The multiple facets of the TGF-beta family cytokine growth/differentiation factor-15/macrophage inhibitory cytokine-1. Cytokine Growth Factor Rev. 2013; 24:373–384.

2. Hur KY. Is GDF15 a novel biomarker to predict the development of prediabetes or diabetes? Diabetes Metab J. 2014; 38:437–438.

3. Kempf T, Zarbock A, Widera C, Butz S, Stadtmann A, Rossaint J, Bolomini-Vittori M, Korf-Klingebiel M, Napp LC, Hansen B, Kanwischer A, Bavendiek U, Beutel G, Hapke M, Sauer MG, Laudanna C, Hogg N, Vestweber D, Wollert KC. GDF-15 is an inhibitor of leukocyte integrin activation required for survival after myocardial infarction in mice. Nat Med. 2011; 17:581–588.

4. Rossaint J, Vestweber D, Zarbock A. GDF-15 prevents platelet integrin activation and thrombus formation. J Thromb Haemost. 2013; 11:335–344.

5. Zimmers TA, Jin X, Hsiao EC, McGrath SA, Esquela AF, Koniaris LG. Growth differentiation factor-15/macrophage inhibitory cytokine-1 induction after kidney and lung injury. Shock. 2005; 23:543–548.

6. Stiermaier T, Adams V, Just M, Blazek S, Desch S, Schuler G, Thiele H, Eitel I. Growth differentiation factor-15 in Takotsubo cardiomyopathy: diagnostic and prognostic value. Int J Cardiol. 2014; 173:424–429.

7. Wang X, Chrysovergis K, Kosak J, Kissling G, Streicker M, Moser G, Li R, Eling TE. hNAG-1 increases lifespan by regulating energy metabolism and insulin/IGF-1/mTOR signaling. Aging (Albany NY). 2014; 6:690–704.

8. Wang X, Chrysovergis K, Kosak J, Eling TE. Lower NLRP3 inflammasome activity in NAG-1 transgenic mice is linked to a resistance to obesity and increased insulin sensitivity. Obesity (Silver Spring). 2014; 22:1256–1263.

9. Mazagova M, Buikema H, van Buiten A, Duin M, Goris M, Sandovici M, Henning RH, Deelman LE. Genetic deletion of growth differentiation factor 15 augments renal damage in both type 1 and type 2 models of diabetes. Am J Physiol Renal Physiol. 2013; 305:F1249–F1264.

10. Kempf T, Guba-Quint A, Torgerson J, Magnone MC, Haefliger C, Bobadilla M, Wollert KC. Growth differentiation factor 15 predicts future insulin resistance and impaired glucose control in obese nondiabetic individuals: results from the XENDOS trial. Eur J Endocrinol. 2012; 167:671–678.

11. Hong JH, Chung HK, Park HY, Joung KH, Lee JH, Jung JG, Kim KS, Kim HJ, Ku BJ, Shong M. GDF15 is a novel biomarker for impaired fasting glucose. Diabetes Metab J. 2014; 38:472–479.

12. Wallentin L, Hijazi Z, Andersson U, Alexander JH, De Caterina R, Hanna M, Horowitz JD, Hylek EM, Lopes RD, Asberg S, Granger CB, Siegbahn A. ARISTOTLE Investigators. Growth differentiation factor 15, a marker of oxidative stress and inflammation, for risk assessment in patients with atrial fibrillation: insights from the Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation (ARISTOTLE) trial. Circulation. 2014; 130:1847–1858.

13. Dominguez-Rodriguez A, Abreu-Gonzalez P, Avanzas P. Usefulness of growth differentiation factor-15 levels to predict diabetic cardiomyopathy in asymptomatic patients with type 2 diabetes mellitus. Am J Cardiol. 2014; 114:890–894.

14. Khan SQ, Ng K, Dhillon O, Kelly D, Quinn P, Squire IB, Davies JE, Ng LL. Growth differentiation factor-15 as a prognostic marker in patients with acute myocardial infarction. Eur Heart J. 2009; 30:1057–1065.

15. Meyer C, Pimenta W, Woerle HJ, Van Haeften T, Szoke E, Mitrakou A, Gerich J. Different mechanisms for impaired fasting glucose and impaired postprandial glucose tolerance in humans. Diabetes Care. 2006; 29:1909–1914.

16. DeFronzo RA, Abdul-Ghani M. Assessment and treatment of cardiovascular risk in prediabetes: impaired glucose tolerance and impaired fasting glucose. Am J Cardiol. 2011; 108:3 Suppl. 3B–24B.

17. Zhu W, Zeng N, Wang N. Sensitivity, Specificity, Accuracy, Associated Confidence Interval and ROC Analysis with Practical SAS Implementations. In : Proceedings of The SAS Conference: NESUG proceedings: Health Care and Life Sciences; 2010 Nov 14-17; Baltimore, MD: Lex Jansen;2010. p. 9.