Correlation between serum bile acid and glucose and lipid metabolism in type 2 diabetes patients with metabolic fatty liver disease
10.3760/cma.j.cn101721-20220404-000103
- VernacularTitle:血清胆汁酸与2型糖尿病合并代谢相关脂肪性肝病患者糖脂代谢的相关性分析
- Author:
Yulu WANG
1
;
Shuguang PANG
Author Information
1. 潍坊医学院，潍坊 261000
- Keywords:
Type 2 diabetic mellitus;
Metabolically associated fatty liver disease;
Bile acid;
Insulin resistance
- From:
Clinical Medicine of China
2023;39(1):24-31
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the correlation between serum bile acid and glycolipid metabolism in patients with type 2 diabetic mellitus (T2DM) and metabolically associated fatty liver disease (MAFLD).Methods:A total of 387 T2DM patients hospitalized in Jinan Central Hospital in Shandong Province from July 2020 to November 2021 were selected, including 140 T2DM patients (T2DM group) and 247 T2DM patients with MAFLD (T2DM with MAFLD group). Clinical data were collected of all patients for retrospective analysis and compare the differences in clinical datas in the T2DM group and the T2DM with MAFLD group. Analyze the influencing factors of T2DM with MAFLD. The serum total bile acid (S-TBA) of the T2DM with MAFLD group was divided into T1, T2 and T3 groups by the method of trisection. Triglyceride glucose index (TyG) and hemoglobin glycation index (HGI) were divided into low TyG group, high TyG group and low HGI group, high HGI group by their median values. The incidence of hyperlipidemia, degree of insulin resistance and glycosylated hemoglobin variation was compared among the three groups. To analyze the influencing factors of TyG and HGI. The measurement data conforming to the normal distribution were compared between two groups by independent sample t-test, the comparison between multiple groups by ANOVA, the comparison between two groups of measurement data not conforming to the normal distribution by Mann Whitney U test, and the comparison between multiple groups by Kruskal Wallis H test, χ 2 test was used for comparison of count data between groups. The influencing factors of T2DM with MAFLD and high HGI were analyzed by multivariate binary Logistic regression. The influencing factors of TyG were analyzed using multiple stepwise linear regression. Results:There was no significant difference between the S-TBA of T2DM group and T2DM with MAFLD group ( P>0.05). TyG ( OR=1.788, 95% CI: 1.223-2.614), superoxide dismutase (SOD) ( OR=1.019, 95% CI: 1.009-1.030) and VFA (visceral fat area) ( OR=1.021, 95% CI: 1.013-1.028) were risk factors for the occurrence of T2DM with MAFLD ( P values are 0.003, 0.001 and 0.001, respectively). The incidence of high TyG in T3 group (61.0% (50/82)) as higher than that in T1 group (40.0% (32/80)), the incidence of high HGI in T3 group (61.0% (50/82)) was higher than that in T2 group (41.2% (35/85)), the morbidity of hypercholesterolemia in T3 group (15.9% (13/82)) was higher than that in T2 group (4.7% (4/85)), the differences were statistically significant (χ 2 values were 7.13, 6.55, 5.67; the P values were 0.008, 0.011, 0.017). S-TBA, hepatic steatosis index (HSI) and VFA were independent influencing factors of TyG (the P values were 0.003, <0.001, <0.001). S-TBA ( OR=0.940, 95% CI:0.887-0.997) and fasting C peptide ( OR=0.454, 95% CI:0.219-0.940) were protective factors for the occurrence of high HGI (the P values were 0.039, 0.034). Conclusion:S-TBA was positively correlated with the degree of insulin resistance and incidence of hypercholesterolemia in patients with T2DM and MAFLD, negatively correlated with the degree of glycated hemoglobin variation.
