Departmental Bulletin Paper Association of serum gamma-glutamyltransferase (GGT) and diabetes with triglycerides-to-HDL cholesterol ratio in Japanese subjects: The Nagasaki Study

Koyamatsu, Jun  ,  Shimizu, Yuji  ,  Kadota, Koichiro  ,  Nagayoshi, Mako  ,  Yamanashi, Hirotomo  ,  Sato, Shimpei  ,  Goto, Hisashi  ,  Murase, Kunihiko  ,  Aoyagi, Kiyoshi  ,  Maeda, Takahiro

61 ( 2 )  , pp.61 - 65 , 2017-08 , Nagasaki University School of Medicine
Background: Although we reported in a previous study that diabetes with a high serum triglycerides to high-density lipoprotein cholesterol (TG-HDL) ratio constitutes a risk for atherosclerosis, associations in terms of TG-HDL ratio between diabetes and gamma-glutamyltransferase (GGT), which is also known as an independent risk factor for atherosclerosis, have not yet been clarified. The purpose of this study was to test the hypothesis that a positive association between GGT and diabetes may be confined to high TG-HDL. Methods: This was a cross-sectional study of 2,302 Japanese subjects who were undergoing a general health check in 2014. All subjects were divided into TG-HDL level tertiles and serum GGT and diabetes status were investigated. Results: Of 207 diabetes patients identified in this study, 94 had high TG-HDL, 63 intermediate TG-HDL, and 50 low TG-HDL. Independent of classical cardiovascular risk factors, serum GGT showed a positive association with diabetes in patients with high TG-HDL, but not in patients with intermediate and low TG-HDL diabetes. The multivariable adjusted odds ratios (OR) and 95% coincidence intervals (95%CI) of diabetes for 1 standard deviation (SD) increment of GGT were 1.64 (95%CI: 1.16-2.31) for high TG-HDL, 1.46 (95%CI: 0.95-2.26) for intermediate TG-HDL, and 1.04 (95%CI: 0.60-1.79) for low TG-HDL diabetes. Conclusion: Serum GGT is positively associated with diabetes in patients with high TG-HDL but not with intermediate or low TG-HDL diabetes. This finding may prove to be an efficient tool for estimating atherosclerotic risk in diabetes patients.

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