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Novel metabolic markers for the risk of diabetes development in American Indians. Diabetes Care 2015 Feb;38(2):220-7 PMID: 25468946 PMCID: PMC4302260

Pubmed ID



OBJECTIVE: To identify novel metabolic markers for diabetes development in American Indians.

RESEARCH DESIGN AND METHODS: Using an untargeted high-resolution liquid chromatography-mass spectrometry, we conducted metabolomics analysis of study participants who developed incident diabetes (n = 133) and those who did not (n = 298) from 2,117 normoglycemic American Indians followed for an average of 5.5 years in the Strong Heart Family Study. Relative abundances of metabolites were quantified in baseline fasting plasma of all 431 participants. Prospective association of each metabolite with risk of developing type 2 diabetes (T2D) was examined using logistic regression adjusting for established diabetes risk factors.

RESULTS: Seven metabolites (five known and two unknown) significantly predict the risk of T2D. Notably, one metabolite matching 2-hydroxybiphenyl was significantly associated with an increased risk of diabetes, whereas four metabolites matching PC (22:6/20:4), (3S)-7-hydroxy-2',3',4',5',8-pentamethoxyisoflavan, or tetrapeptides were significantly associated with decreased risk of diabetes. A multimarker score comprising all seven metabolites significantly improved risk prediction beyond established diabetes risk factors including BMI, fasting glucose, and insulin resistance.

CONCLUSIONS: The findings suggest that these newly detected metabolites may represent novel prognostic markers of T2D in American Indians, a group suffering from a disproportionately high rate of T2D.

Author List

Zhao J, Zhu Y, Hyun N, Zeng D, Uppal K, Tran VT, Yu T, Jones D, He J, Lee ET, Howard BV


Noorie Hyun PhD Assistant Professor in the Institute for Health and Equity department at Medical College of Wisconsin


2-s2.0-84921925385   25 Citations

MESH terms used to index this publication - Major topics in bold

Biphenyl Compounds
Diabetes Mellitus, Type 2
Indians, North American
Insulin Resistance
Logistic Models
Prospective Studies
Risk Factors
jenkins-FCD Prod-299 9ef562391eceb2b8f95265c767fbba1ce5a52fd6