Novel metabolic markers for the risk of diabetes development in American Indians.

MedStar author(s):
Citation: Diabetes Care. 38(2):220-7, 2015 Feb.PMID: 25468946Institution: MedStar Health Research InstituteForm of publication: Journal ArticleMedline article type(s): Journal Article | Multicenter Study | Randomized Controlled Trial | Research Support, N.I.H., ExtramuralSubject headings: *Biological Markers/me [Metabolism] | *Diabetes Mellitus, Type 2/eh [Ethnology] | *Indians, North American/eh [Ethnology] | Adult | Biphenyl Compounds/me [Metabolism] | Diabetes Mellitus, Type 2/bl [Blood] | Fasting/bl [Blood] | Female | Humans | Insulin Resistance/eh [Ethnology] | Isoflavones/me [Metabolism] | Logistic Models | Male | Metabolomics | Oligopeptides/me [Metabolism] | Phosphatidylcholines/me [Metabolism] | Prospective Studies | Risk FactorsLocal holdings: Available online from MWHC library: 1995 - present, Available in print through MWHC library: 1999 - 2006ISSN:
  • 0149-5992
Name of journal: Diabetes careAbstract: 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.Copyright � 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.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.All authors: He J, Howard BV, Hyun N, Jones D, Lee ET, Tran VT, Uppal K, Yu T, Zeng D, Zhao J, Zhu YDigital Object Identifier: Date added to catalog: 2016-01-13
Holdings
Item type Current library Collection Call number Status Date due Barcode
Journal Article MedStar Authors Catalog Article Available 25468946

Available online from MWHC library: 1995 - present, Available in print through MWHC library: 1999 - 2006

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.Copyright � 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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.

English

Powered by Koha