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논문 기본 정보

자료유형
학술저널
저자정보
Hsu-Feng Lu (Cheng Hsin General Hospital) Yu-Heng Lai (Chinese Culture University) Hsiu-Chen Huang (National Tsing Hua University South Campus) I-Jung Lee (Yokohama University of Pharmacy) Lie-Chwen Lin (Ministry of Health and Welfare) Hui-Kang Liu (Ministry of Health and Welfare) Hsiao-Hsuan Tien (National Yang-Ming University) Cheng Huang (National Yang-Ming University)
저널정보
고려인삼학회 Journal of Ginseng Research Journal of Ginseng Research Vol.44 No.2
발행연도
2020.3
수록면
238 - 246 (9page)

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초록· 키워드

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Background: Dietary fat has been suggested to be the cause of various health issues. Obesity, hypertension, cardiovascular disease, diabetes, dyslipidemia, and kidney disease are known to be associated with a high-fat diet (HFD). Obesity and associated conditions, such as type 2 diabetes mellitus and nonalcoholic fatty liver disease (NAFLD), are currently a worldwide health problem. Few prospective pharmaceutical therapies that directly target NAFLD are available at present. A Traditional Chinese Medicine, ginseng-plus-Bai-Hu-Tang (GBHT), is widely used by diabetic patients to control glucose level or thirst. However, whether it has therapeutic effects on fat-induced hepatic steatosis and metabolic syndrome remains unclear.
Methods: This study was conducted to examine the therapeutic effect of GBHT on fat-induced obesity, hepatic steatosis, and insulin resistance in mice.
Results: GBHT protected mice against HFD-induced body weight gain, hyperlipidemia, and hyperglycemia compared with mice that were not treated. GBHT inhibited the expansion of adipose tissue and adipocyte hypertrophy. No ectopic fat deposition was found in the livers of HFD mice treated with GBHT. In addition, glucose intolerance and insulin sensitivity in HFD mice was also improved by GBHT.
Conclusion: GBHT prevents changes in lipid and carbohydrate metabolism in a HFD mouse model. Our findings provide evidence for the traditional use of GBHT as therapy for the management of metabolic syndrome.

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ABSTRACT
1. Introduction
2. Materials and methods
3. Results
4. Discussion
5. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2020-524-000504460