An experimental rat model of non-alcoholic fatty liver disease: Ameliorative effect of green coffee and prediction of disease activity.
Аннотация
BACKGROUND
Non-alcoholic fatty liver disease (NAFLD) is currently a public health problem that affects many people worldwide. New-generation dietary agents can contribute to disease control. Also, prediction of liver disease activity with serum markers is an important factor to reduce the need for liver biopsies.
OBJECTIVES
The aim of this study was to compare the effects of 20 mg/kg green coffee bean extract (GCBE, standardized to 10 mg/kg chlorogenic acid), 10 mg/kg chlorogenic acid (CA) and 50 mg/kg CA on NAFLD activity score (NAS). We also aimed to create a NAS prediction model as an alternative to liver biopsies.
MATERIAL AND
METHODS
Male Wistar rats were fed either a high-fat high-cholesterol (HFHC) diet (NAFLD groups, n = 32) or a normal diet (control groups, n = 24). Green coffee bean extract (20 mg/kg) and CA (10 mg/kg and 50 mg/kg) were given by daily oral gavage. At the end of the study, blood samples and liver tissues were collected. Biochemical parameters, glyoxalase 1 (GLO1) and oxidative stress parameters were analyzed. An experienced histopathologist graded NAS.
RESULTS
Green coffee bean extract and 50 mg/kg CA significantly reduced NAS (p < 0.01 and p < 0.001, respectively). HFHC-diet induced NAFLD was associated with higher serum GLO1 levels (p < 0.001). Serum malondialdehyde (MDA) levels were positively correlated with NAS while GLO1 was negatively correlated with NAS (p < 0.001, r = 0.698; p < 0.05, r = -0.367, respectively). Serum MDA and triglyceride were found to be statistically significant in predicting NAS (p < 0.001).
CONCLUSIONS
Our study suggests that GCBE and CA can both ameliorate the development of NAFLD. Also, low-dose GCBE and high-dose CA showed similar hepatoprotective effects. Increased GLO1 in NAFLD may be a defense mechanism which is enhanced by GCBE and CA. Moreover, serum MDA and triglyceride levels are promising in NAS prediction.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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