期刊
ATHEROSCLEROSIS
卷 240, 期 1, 页码 272-277出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.atherosclerosis.2015.03.034
关键词
Lipoproteins; Apolipoproteins; Atherogenic indices; Type 2 diabetes; Hyperglycemia; Insulin resistance; Insulin secretion
资金
- Finnish Diabetes Research Foundation
- Academy of Finland
- Finnish Cardiovascular Research Foundation
- University of Eastern Finland, Kuopio, Finland
- EVO Grant from the Kuopio University Hospital
- Sigrid Juselius Foundation
- Novo Nordisk Foundation
- University of Oulu
- MRC [MC_UU_12013/1] Funding Source: UKRI
- Medical Research Council [MC_UU_12013/1] Funding Source: researchfish
Objective: We investigated the association of various lipoprotein traits, apolipoproteins and their ratios with the deterioration of glycemia, incident type 2 diabetes, insulin resistance and insulin secretion in a large population-based Metabolic Syndrome Men (METSIM) Study. Research design and methods: The METSIM Study includes 10,197 Finnish men, aged 45-73 years, and examined in 2005-2010. From 6607 non-diabetic participants without statin treatment at baseline, 386 developed incident type 2 diabetes during a 5.9-year follow-up. A total of 3330 non-diabetic participants without statin treatment had both baseline and follow-up visit data, and were included in statistical analyses of the worsening of glycemia. Results: Compared to single lipid and lipoprotein measurements, lipoprotein and apolipoprotein ratios were better predictors of the glucose area under the curve and incident type 2 diabetes after adjustment for confounding factors. The apolipoprotein B/LDL cholesterol ratio was the strongest predictor of the worsening of glycemia, whereas the apolipoprotein A1/HDL cholesterol ratio was the strongest predictor of incident type 2 diabetes. The associations of lipoprotein traits, apolipoproteins and their ratios with insulin sensitivity were stronger than those with insulin secretion. Conclusions: The apolipoprotein B/LDL cholesterol and apolipoprotein A1/HDL cholesterol ratios were the strongest predictors of the worsening of glycemia and incident type 2 diabetes, respectively. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
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