Background The triglyceride glucose index combined with body mass index is a new index that reflects the degree of insulin resistance. In this cross-sectional study, we aimed to explore the predictive value of the triglyceride glucose-body mass index (TyG-BMI) in relation to the occurrence of non-alcoholic fatty liver disease (NAFLD) in the Chinese population with type 2 diabetes (T2D). Methods We selected 826 patients with T2D who were hospitalized at the Department of Endocrinology and Metabolism of Karamay People’s Hospital from September 2016 to October 2018 for this research. The height, weight, fasting blood glucose, serum insulin, and lipid profiles of the subjects were collected. The liver ultrasound showed any degree of echogenic enhancement of liver tissue and the liver appeared brighter than the renal cortex on ultrasound were considered to be NAFLD. The logistic regression analysis was performed to estimate associations between the triglyceride glucose index (TyG), TyG-BMI index, insulin resistance index (HOMA-IR) and the ratio of the triglycerides to high-density lipoprotein-cholesterol with a diagnosis of NAFLD. The receiver operating characteristic curve method was used to analyze its predictive value for NAFLD. Results Results of the logistic regression analysis showed that the odds ratios of NAFLD were 6.535 (3.70–11.53) and 4.868 (2.576–9.200) for the TyG-BMI before and after correction,respectively(P < 0.001). The area under the curve (AUC) for TyG-BMI was 0.727 (0.691–0.764), which was the highest among all the other parameters studied. Conclusion Compared with the TyG index, the TG/HDL-C and HOMA-IR, the TyG-BMI was a more effective predictor of NAFLD in T2D.

No abstract

No abstract

In this paper, the combustion behavior of Chlorella vulgaris (a genus of unicellular green microalgae) was investigated in a thermogravimetric analyzer (TGA) from room temperature to 800°°C in O 2 /N 2 atmospheres. The effects of different oxygen concentrations (20, 50, 60, 80 vol.%) in the heating rates 20°C·min -1 on the combustion processes of Chlorella vulgaris had been studied. The results indicated that the combustion processes of Chlorella vulgaris could be divided into three stages. The oxygen concentrations had important effects on the main combustion processes of Chlorella vulgaris. The isoconversional method involving Flynn-Wall-Ozawa (FWO) and the Kissinger-Akahira-Sunose (KAS) methods were used for the kinetic analysis of the main combustion process. The results indicated that, when the oxygen concentration varied from 20 to 80 vol.%, the value of activation energy increased respectively from 134.03 to 241.04 kJ·mol -1 by using FWO method and from 134.53 to 242.33 kJ·mol -1 by KAS method. Moreover, the optimal oxygen concentration for Chlorella vulgaris combustion was 25-35 vol.% .

Objective: To explore the predictive value of the triglyceride glucose-body mass index (TyG-BMI) in relation to the occurrence of non-alcoholic fatty liver disease (NAFLD) in the Chinese population with type 2 diabetes (T2D). Methods: We selected 826 patients with T2D who were hospitalized at the Department of Endocrinology and Metabolism of Karamay People's Hospital from September 2016 to October 2018 for this research. The height, weight, fasting blood glucose, serum insulin, and lipid profiles of the subjects were collected. Stepwise logistic regression analysis was performed to calculate the triglyceride glucose (TyG) index, TyG-BMI, and the ratio of the insulin resistance index (HOMA-IR) to triglyceride high-density lipoprotein-cholesterol at risk for non-alcoholic fatty liver disease. The curve method was used to analyze its predictive value for non-alcoholic fatty liver. Results Results of the logistic regression analysis showed that the risk ratios of NAFLD were 6.54 (3.70-11.53) and 4.868 (2.576-9.200) for the TyG-BMI before and after correction. The area under the curve (AUC) for TyG-BMI was 0.727 (0.691–0.764), which was the highest among all the other parameters studied. Conclusion Compared with the TyG index, the TG/HDL-C, HOMA-IR, and the TyG-BMI are more effective predictors of NAFLD in T2D.