Systems Analysis and the Prediction and Prevention of Type 2 Diabetes Mellitus

Overview

Journal Curr Opin Biotechnol

Publisher Elsevier

Specialty Biotechnology

Date 2014 Jul 1

PMID 24976265

Citations 7

Authors

Richard N Bergman

Darko Stefanovski

Stella P Kim

Affiliations

Soon will be listed here.

Abstract

Prevalence of Type 2 diabetes has increased at an alarming rate, highlighting the need to correctly predict the development of this disease in order to allow intervention and thus, slow progression of the disease and resulting metabolic derangement. There have been many recent 'advances' geared toward the detection of pre-diabetes, including genome wide association studies and metabolomics. Although these approaches generate a large amount of data with a single blood sample, studies have indicated limited success using genetic and metabolomics information alone for identification of disease risk. Clinical assessment of the disposition index (DI), based on the hyperbolic law of glucose tolerance, is a powerful predictor of Type 2 diabetes, but is not easily assessed in the clinical setting. Thus, it is evident that combining genetic or metabolomic approaches for a more simple assessment of DI may provide a useful tool to identify those at highest risk for Type 2 diabetes, allowing for intervention and prevention.

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References

Dagogo-Jack S . Metabolomic prediction of diabetes and cardiovascular risk. Med Princ Pract. 2012; 21(5):401-3. PMC: 3746061. DOI: 10.1159/000339203. View

Shah S, Svetkey L, Newgard C . Branching out for detection of type 2 diabetes. Cell Metab. 2011; 13(5):491-2. DOI: 10.1016/j.cmet.2011.04.003. View

DeFronzo R, Tripathy D, Schwenke D, Banerji M, Bray G, Buchanan T . Prediction of diabetes based on baseline metabolic characteristics in individuals at high risk. Diabetes Care. 2013; 36(11):3607-12. PMC: 3816921. DOI: 10.2337/dc13-0520. View

Schmid R, Vollenweider P, Bastardot F, Vaucher J, Waeber G, Marques-Vidal P . Current genetic data do not improve the prediction of type 2 diabetes mellitus: the CoLaus study. J Clin Endocrinol Metab. 2012; 97(7):E1338-41. DOI: 10.1210/jc.2011-3412. View

Bergman R . Orchestration of glucose homeostasis: from a small acorn to the California oak. Diabetes. 2007; 56(6):1489-501. DOI: 10.2337/db07-9903. View

Perreault L, Pan Q, Mather K, Watson K, Hamman R, Kahn S . Effect of regression from prediabetes to normal glucose regulation on long-term reduction in diabetes risk: results from the Diabetes Prevention Program Outcomes Study. Lancet. 2012; 379(9833):2243-51. PMC: 3555407. DOI: 10.1016/S0140-6736(12)60525-X. View

Kim S, Catalano K, Hsu I, Chiu J, Richey J, Bergman R . Nocturnal free fatty acids are uniquely elevated in the longitudinal development of diet-induced insulin resistance and hyperinsulinemia. Am J Physiol Endocrinol Metab. 2007; 292(6):E1590-8. DOI: 10.1152/ajpendo.00669.2006. View

Cerasi E, Luft R, Efendic S . Decreased sensitivity of the pancreatic beta cells to glucose in prediabetic and diabetic subjects. A glucose dose-response study. Diabetes. 1972; 21(4):224-34. DOI: 10.2337/diab.21.4.224. View

Igel L, Powell A, Apovian C, Aronne L . Advances in medical therapy for weight loss and the weight-centric management of type 2 diabetes mellitus. Curr Atheroscler Rep. 2011; 14(1):60-9. DOI: 10.1007/s11883-011-0221-0. View

10.

Newgard C, An J, Bain J, Muehlbauer M, Stevens R, Lien L . A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009; 9(4):311-26. PMC: 3640280. DOI: 10.1016/j.cmet.2009.02.002. View

11.

Greenawalt D, Sieberts S, Cornelis M, Girman C, Zhong H, Yang X . Integrating genetic association, genetics of gene expression, and single nucleotide polymorphism set analysis to identify susceptibility Loci for type 2 diabetes mellitus. Am J Epidemiol. 2012; 176(5):423-30. PMC: 3499116. DOI: 10.1093/aje/kws123. View

12.

Bergman R, Phillips L, Cobelli C . Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. J Clin Invest. 1981; 68(6):1456-67. PMC: 370948. DOI: 10.1172/jci110398. View

13.

Ribaric G, Buchwald J, McGlennon T . Diabetes and weight in comparative studies of bariatric surgery vs conventional medical therapy: a systematic review and meta-analysis. Obes Surg. 2013; 24(3):437-55. PMC: 3916703. DOI: 10.1007/s11695-013-1160-3. View

14.

Kodama K, Tojjar D, Yamada S, Toda K, Patel C, Butte A . Ethnic differences in the relationship between insulin sensitivity and insulin response: a systematic review and meta-analysis. Diabetes Care. 2013; 36(6):1789-96. PMC: 3661854. DOI: 10.2337/dc12-1235. View

15.

Lorenzo C, Wagenknecht L, Rewers M, Karter A, Bergman R, Hanley A . Disposition index, glucose effectiveness, and conversion to type 2 diabetes: the Insulin Resistance Atherosclerosis Study (IRAS). Diabetes Care. 2010; 33(9):2098-103. PMC: 2928371. DOI: 10.2337/dc10-0165. View

16.

Poulsen P, Kyvik K, Vaag A, Beck-Nielsen H . Heritability of type II (non-insulin-dependent) diabetes mellitus and abnormal glucose tolerance--a population-based twin study. Diabetologia. 1999; 42(2):139-45. DOI: 10.1007/s001250051131. View

17.

Himsworth H . Diabetes mellitus: its differentiation into insulin-sensitive and insulin-insensitive types. 1936. Int J Epidemiol. 2014; 42(6):1594-8. DOI: 10.1093/ije/dyt203. View

18.

Kahn S, Prigeon R, McCulloch D, Boyko E, Bergman R, Schwartz M . Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence for a hyperbolic function. Diabetes. 1993; 42(11):1663-72. DOI: 10.2337/diab.42.11.1663. View

19.

Pihoker C, Gilliam L, Ellard S, Dabelea D, Davis C, Dolan L . Prevalence, characteristics and clinical diagnosis of maturity onset diabetes of the young due to mutations in HNF1A, HNF4A, and glucokinase: results from the SEARCH for Diabetes in Youth. J Clin Endocrinol Metab. 2013; 98(10):4055-62. PMC: 3790621. DOI: 10.1210/jc.2013-1279. View

20.

Kirk E, Klein S . Pathogenesis and pathophysiology of the cardiometabolic syndrome. J Clin Hypertens (Greenwich). 2009; 11(12):761-5. PMC: 2859214. DOI: 10.1111/j.1559-4572.2009.00054.x. View