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Correlation of liver enzymes with diabetes and pre-diabetes in middle-aged rural population in China

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Summary

The survey aimed to explore the association of liver transaminases with the prevalence of type 2 diabetes mellitus (T2DM) and pre-diabetes (pre-DM) in the middle-aged rural population in China. A cross-sectional study was conducted in 10 800 middle-aged subjects who lived in rural area of central China. The 75-g oral glucose-tolerance test (OGTT) was performed. Participants were asked to complete physical examination and standard questionnaire. The serum liver transaminases (ALT and GGT), HbA1C and serum lipids were measured. In middle-aged rural population, the prevalence of impaired fasting glucose (IFG), impaired glucose tolerance (IGT), impaired fasting glucose combined with impaired glucose tolerance (IFG+IGT) and DM was 4.0%, 11.8%, 2.6% and 10.0%, respectively. Some measurements were higher in males than in females, such as waist hip ratio (WHR), blood pressure, fasting blood glucose (FBG), high density lipoprotein-cholesterol (HDL-C), and liver enzymes (ALT and GGT). Further, we found that elevated serum GGT and ALT levels were significantly positively correlated with the prevalence of DM, independent of central obesity, serum lipid and insulin resistance (IR) in both genders. However, the correlation of GGT and ALT with pre-DM was determined by genders and characteristics of liver enzymes. Higher serum GGT was indicative of IGT in both genders. The association of serum ALT with pre-DM was significant only in female IGT group. In conclusion, our present survey shows both serum GGT and ALT are positively associated with DM, independent of the cardiovascular risk factors in both genders.

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Correspondence to Xue-feng Yu  (余学锋).

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This research is supported by Chinese Society of Endocrinology, the Key Laboratory for Endocrine and Metabolic Disease of Ministry of Healthy (No. 1994DP131044).

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Xie, Jh., Liu, Q., Yang, Y. et al. Correlation of liver enzymes with diabetes and pre-diabetes in middle-aged rural population in China. J. Huazhong Univ. Sci. Technol. [Med. Sci.] 36, 53–58 (2016). https://doi.org/10.1007/s11596-016-1541-7

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  • DOI: https://doi.org/10.1007/s11596-016-1541-7

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