Serum alanine aminotransferase/aspartate aminotransferase ratio is one of the best markers of insulin resistance in the
- PDF / 480,174 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 13 Downloads / 121 Views
RESEARCH
Open Access
Serum alanine aminotransferase/aspartate aminotransferase ratio is one of the best markers of insulin resistance in the Chinese population Li Zhao1†, Jing Cheng1†, Yingchao Chen1†, Qin Li1, Bing Han1, Yi Chen1, Fangzhen Xia1, Chi Chen1, Dongping Lin1, Xuemei Yu2*, Ningjian Wang1* and Yingli Lu1*
Abstract Background: The alanine aminotransferase (ALT)/aspartate aminotransferase (AST) ratio is reportedly associated with insulin resistance (IR). However, few studies have explored the relationship between the ALT/AST ratio and IR in the Chinese population. Here, we aimed to explore whether the ALT/AST ratio is associated and, if so, to what extent, with IR in the Chinese population as categorized by waist circumference (WC). Methods: Our data were obtained from the SPECT-China study, a cross-sectional survey on the prevalence of metabolic diseases and risk factors in East China from 2014 to 2015. A total of 8398 participants aged 52.16 ± 13.16 (mean ± standard deviation) years were included in this study. Anthropometric indices, biochemical parameters and clinical characteristics were measured. IR was defined as the top quartile of the homeostasis model assessment of insulin resistance (HOMA-IR > 1.6), and central obesity was defined as a WC ≥90 cm in males or ≥80 cm in females. Linear regression and receiver operating characteristic curve analyses were conducted. Results: The ALT/AST ratio was significantly correlated and associated with HOMA-IR in both non-centrally obese (r = 0.284, B = 0.509, 95% confidence interval (CI): 0.459–0.559, P < 0.001) and centrally obese subjects (r = 0.372, B = 0.607, 95%CI: 0.532–0.683, P < 0.001) after adjusting for potential confounders. The ALT/AST ratio was one of the best markers of IR, with areas under the curve (AUC) values of 0.66 (0.64–0.68) in non-centrally and 0.68 (0.66–0. 70) in centrally obese subjects. In the prediction model for IR, the AUCs were significantly augmented after adding the ALT/AST ratio in both non-centrally obese [AUC 95%CI 0.69(0.67–0.71) vs 0.72(0.70–0.74), P2 [17]. Central obesity was defined as a WC ≥90 cm in males or ≥80 cm in females [16]. We used residence area as a covariate because in China, the prevalence of obesity in rural and urban areas may differ [18]. Economic status was estimated based on the mean gross domestic product per capita of the whole nation (6807 US dollars according to the World Bank) in 2013 as the cutoff point for each site. Statistical analysis
We analyzed the survey results using IBM SPSS Statistics, Version 22 (IBM Corporation, Armonk, NY, USA). Continuous variables that fitted a Gaussian distribution and categorical variables were expressed as the means ± standard deviation (SD) and as percentages (%), respectively. Continuous variables with a skewed distribution were presented as medians (interquartile range) and were log-transformed for analysis. To test the differences between participants with and without central obesity, the Mann-Whitney U and Student t tests were used for non-normally and no
Data Loading...
