scholarly journals Peroxisomal Enzymes in the Liver of Rats With Experimental Diabetes Mellitus Type 2

2014 ◽  
pp. S585-S591 ◽  
Author(s):  
L. TURECKÝ ◽  
V. KUPČOVÁ ◽  
E. UHLÍKOVÁ ◽  
V. MOJTO
Keyword(s):  
Oxidative Stress ◽  
Diabetes Mellitus ◽  
Liver Disease ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Diabetes Mellitus Type 2 ◽  
Experimental Diabetes ◽  
Beta Oxidation ◽  
Experimental Diabetes Mellitus

Diabetes mellitus is relatively frequently associated with fatty liver disease. Increased oxidative stress probably plays an important role in the development of this hepatopathy. One of possible sources of reactive oxygen species in liver is peroxisomal system. There are several reports about changes of peroxisomal enzymes in experimental diabetes, mainly enzymes of fatty acid oxidation. The aim of our study was to investigate the possible changes of activities of liver peroxisomal enzymes, other than enzymes of beta-oxidation, in experimental diabetes mellitus type 2. Biochemical changes in liver of experimental animals suggest the presence of liver steatosis. The changes of serum parameters in experimental group are similar to changes in serum of patients with non-alcoholic fatty liver disease. We have shown that diabetes mellitus influenced peroxisomal enzymes by the different way. Despite of well-known induction of peroxisomal beta-oxidation, the activities of catalase, aminoacid oxidase and NADH-cytochrome b5 reductase were not significantly changed and the activities of glycolate oxidase and NADP-isocitrate dehydrogenase were significantly decreased. The effect of diabetes on liver peroxisomes is probably due to the increased supply of fatty acids to liver in diabetic state and also due to increased oxidative stress. The changes of metabolic activity of peroxisomal compartment may participate on the development of diabetic hepatopathy.

DIABETES MELLITUS TYPE 2 AND NONALCOHOLIC FATTY LIVER DISEASE

2011 ◽  
Vol 22 ◽  
pp. S93
Author(s):  
Maria Triantafillidou ◽  
Spiros Zidros ◽  
Athanasios Halvatzis ◽  
Nikoleta Malliarou ◽  
Amalia Faltaka ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Fatty Liver Disease ◽  
Diabetes Mellitus Type 2 ◽  
Diabetes Mellitus Type ◽  
Nonalcoholic Fatty Liver

scholarly journals Amelioration of liver function and glucose control with pioglitazone in a patient with diabetes mellitus type 2 and nonalcoholic fatty liver disease

2017 ◽  
Vol 5 (6) ◽  
pp. 199-202
Author(s):  
Katarzyna Nabrdalik ◽  
Patrycja Pokrzywnicka ◽  
Diana Nabrdalik-Leśniak ◽  
Jakub Gumprecht ◽  
Hanna Kwiendacz ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Liver Disease ◽  
Liver Function ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Glucose Control ◽  
Fatty Liver Disease ◽  
Diabetes Mellitus Type 2 ◽  
Nonalcoholic Fatty Liver

scholarly journals Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus

2017 ◽  
Vol 126 (06) ◽  
pp. 371-378 ◽  
Author(s):  
Aleksandra Klisic ◽  
Aleksandra Isakovic ◽  
Gordana Kocic ◽  
Nebojsa Kavaric ◽  
Milovan Jovanovic ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Liver Disease ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Fatty Liver Index

Abstract Introduction/Aim Considering the high prevalence of non-alcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9% females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR)=0.056, p=0.029; and OR=1.105, p=0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e. g., age, gender, body height, smoking status, diabetes duration and drugs metabolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC)=0.832, AUC=0.808, AUC=0.798, AUC=0.824 and AUC=0.743, respectively]. Model 2 (which included all five examined predictors, e. g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC=0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3% and 87.5%, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease.

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