Stranges, Saverio, Rafalson, Lisa B., Dmochowski, Jacek, Rejman, Karol, Tracy, Russell P., Trevisan, Maurizio and Donahue, Richard P.. (2008) Additional contribution of emerging risk factors to the prediction of the risk of type 2 diabetes : evidence from the Western New York Study. Obesity, Vol.16 (No.6). pp. 1370-1376. ISSN 1930-7381

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Abstract

Objective: To examine whether several biomarkers of endothelial function and inflammation improve prediction of type 2 diabetes over 5.9 years of follow-up, independent of traditional risk factors. Methods and Procedures: A total of 1,455 participants from the Western New York Study, free of type 2 diabetes at baseline, were selected. Incident type 2 diabetes was defined as fasting glucose exceeding 125 mg/dl or on antidiabetic medication at the follow-up visit. Sixty-one people who met the case definition ( 8/1,000 person years) were identified and individually matched with up to three controls on gender, race, year of study enrollment, and baseline fasting glucose (<110 or 110-125 mg/dl). Biomarkers were measured from frozen baseline samples. Results: In conditional logistic regression analyses accounting for traditional risk factors ( age, family history of diabetes, smoking, drinking status, and BMI), E-selectin was positively related (3rd vs. 1st tertile: odds ratio 2.77, 95% confidence interval (CI) 1.13-6.79, P for linear trend = 0.023) and serum albumin was inversely related ( 3rd vs. 1st tertile: odds ratio 0.36, 95% CI 0.14-0.93, P for linear trend = 0.032) to type 2 diabetes incidence. The addition of E-selectin, serum albumin, and leukocyte count to a basic risk factor model including only traditional risk factors significantly increased the area under the receiver operating characteristic curve (AUC) ( from 0.646 to 0.726, P value = 0.04). Discussion: These results support the role of endothelial dysfunction and subclinical inflammation as important mechanisms in the etiopathogenesis of type 2 diabetes; moreover, they indicate that novel biomarkers may improve the prediction of type 2 diabetes beyond the use of traditional risk factors alone.

Item Type:	Journal Article
Subjects:	R Medicine > R Medicine (General) R Medicine > RA Public aspects of medicine R Medicine > RC Internal medicine
Divisions:	Faculty of Medicine > Warwick Medical School > Health Sciences Faculty of Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH):	Non-insulin-dependent diabetes -- Pathogenesis -- Research, Non-insulin-dependent diabetes -- Risk factors -- Research, Non-insulin-dependent diabetes -- Prevention -- Research, Biochemical markers
Journal or Publication Title:	Obesity
Publisher:	Nature Publishing Group
ISSN:	1930-7381
Date:	June 2008
Volume:	Vol.16
Number:	No.6
Number of Pages:	7
Page Range:	pp. 1370-1376
Identification Number:	10.1038/oby.2008.59
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/29894

Data sourced from Thomson Reuters' Web of Knowledge

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