Comprehensive metabolomic profiling of type 2 diabetes

Clinical Chemistry

Volumn 61, Issue 3, 2015, Pages 453-455

  Zheng, Yan ^a   Hu, Frank B ^a,b  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INSULIN; ISOLEUCINE; LEUCINE; LYSOPHOSPHATIDYLCHOLINE; PHENYLALANINE; TYROSINE; VALINE;

DIET RESTRICTION; EDITORIAL; ENVIRONMENTAL FACTOR; GENETIC ASSOCIATION; HUMAN; IMPAIRED GLUCOSE TOLERANCE; INSULIN RESISTANCE; LIFESTYLE MODIFICATION; METABOLISM; METABOLOMICS; NON INSULIN DEPENDENT DIABETES MELLITUS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; MASS SPECTROMETRY;

DIABETES MELLITUS, TYPE 2; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; MASS SPECTROMETRY; METABOLOMICS;

EID: 84923917901     PISSN: 00099147     EISSN: 15308561     Source Type: Journal    
DOI: 10.1373/clinchem.2014.235986     Document Type: Editorial

References (16)

1. American Diabetes Association (ADA). Statistics about diabetes. Alexandria (VA): ADA; 2014. http://www.diabetes.org/diabetes-basics/statistics/. (Accessed January 2015).
2. Newgard CB, An J, Bain JR, Muehlbauer MJ, Stevens RD, Lien LF, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab 2009;9:311-26.
3. Wang TJ, Larson MG, Vasan RS, Cheng S, Rhee EP, McCabe E, et al. Metabolite profiles and the risk of developing diabetes. Nat Med 2011;17:448-53.
4. Wang-Sattler R, Yu Z, Herder C, Messias AC, Floegel A, He Y, et al. Novel biomarkers for pre-diabetes identified by metabolomics. Mol Syst Biol 2012;8:615.
5. Cheng S, Rhee EP, Larson MG, Lewis GD, McCabe EL, Shen D, et al. Metabolite profiling identifies pathways associated with metabolic risk in humans. Circulation 2012;125:2222-31.
6. Wang TJ, Ngo D, Psychogios N, Dejam A, Larson MG, Vasan RS, et al. 2-Aminoadipic acid is a biomarker for diabetes risk. J Clin Invest 2013;123:4309-17.
7. Drogan D, Dunn WB, Lin W, Buijsse B, Schulze MB, Langenberg C, et al. Untargeted metabolic profiling identifies altered serum metabolites of type 2 diabetes mellitus in a prospective, nested case control study. Clin Chem 2015;61:487-97.
8. Kotronen A, Velagapudi VR, Yetukuri L, Westerbacka J, Bergholm R, Ekroos K, et al. Serum saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations. Diabetologia 2009;52:684-90.
9. Newgard CB. Interplay between lipids and branched-chain amino acids in development of insulin resistance. Cell Metab 2012;15:606-14.
10. Patti GJ, Yanes O, Siuzdak G. Innovation: Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol 2012;13:263-9.
11. Krentz AJ, Heinemann L, Hompesch M, eds. Translational research methods for diabetes, obesity and cardiometabolic drug development. New York: Springer; 2015.
12. Morris AP, Voight BF, Teslovich TM, Ferreira T, Segre AV, Steinthorsdottir V, et al. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat Genet 2012;44:981-90.
13. Yu B, Zheng Y, Alexander D, Morrison AC, Coresh J, Boerwinkle E. Genetic determinants influencing human serum metabolome among African Americans. PLoS Genet 2014;10:e1004212.
14. Ferrara CT, Wang P, Neto EC, Stevens RD, Bain JR, Wenner BR, et al. Genetic networks of liver metabolism revealed by integration of metabolic and transcriptional profiling. PLoS Genet 2008;4:e1000034.
15. Chen R, Mias GI, Li-Pook-Than J, Jiang L, Lam HY, Miriami E, et al. Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell 2012;148:1293-307.
16. Hu FB. Metabolic profiling of diabetes: from black-box epidemiology to systems epidemiology. Clin Chem 2011;57:1224-6.