| Literature DB >> 30648577 |
Yu-Ting Kuo1, Chih-Chan Lin2, Hsiao-Tzu Kuo3, Jui-Hsiang Hung4, Ching-Hsuan Liu5,6, Alagie Jassey7, Ming-Hong Yen8, Shu-Jing Wu3, Liang-Tzung Lin5,9.
Abstract
Type 2 diabetes mellitus (T2DM) is a chronic disease characterized by hyperglycemia that can lead to long-term complications including heart diseases, stroke, retinopathy, and renal failure. Treatment strategies include stimulating glucose uptake and controlling blood glucose level. Bofutsushosan (BOF) and Daisaikoto (DAI) are two herb-based kampo medicines that have been demonstrated to improve metabolism-associated disorders including obesity, hyperlipidemia, and nonalcoholic fatty liver. Given their bioactivities against metabolic syndromes, we explored in this study the effect of BOF and DAI extracts on glucose absorption and used them as source to identify phytochemical stimulator of glucose absorption. Glucose uptake and mechanistic studies were evaluated in differentiated C2C12 skeletal muscle cells, and HPLC analysis was used to determine the molecular bioactive constituents. Our results indicated that the ethanolic extracts of BOF and DAI (BOFEE and DAIEE, respectively) enhanced the glucose uptake ratio in the differentiated C2C12 cells, and further analysis identified the flavone baicalin as a major constituent capable of efficiently stimulating glucose absorption. Mechanistic studies revealed that the effect from baicalin involved the activation of IRS-1 and GLUT-4, and implicated the AMPK, PI3K/Akt, and MAPK/ERK signaling cascades. Due to its potency, we suggest that baicalin merit further evaluation as a potential candidate anti-hyperglycemic agent for the treatment and management of T2DM.Entities:
Keywords: Anti-hyperglycemia; Baicalin; Bofutsushosan; Daisaikoto; Glucose uptake
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Year: 2018 PMID: 30648577 PMCID: PMC9298638 DOI: 10.1016/j.jfda.2018.07.002
Source DB: PubMed Journal: J Food Drug Anal Impact factor: 6.157
Fig. 1Effects of water and ethanol extracts of Bofutsushosan (BOFWE, BOFEE) and Daisaikoto (DAIWE, DAIEE) on C2C12 cell viability (A) and glucose uptake ratio (B). Values are means ± SD from three independent experiments; statistical significance compared to 0.1% DMSO control analyzed by one-way ANOVA and Dunnett’s multiple comparison test is indicated as *P < 0.05, **P < 0.01, and ***P < 0.001.
Fig. 2Molecular constituents of Bofutsushosan and Daisaikoto ethanol extracts (BOFEE and DAIEE). (A) HPLC analysis-derived quantitation of the molecular constituents (paeoniflorin, sennoside A, baicalin, emodin, and chrysophanol) in BOFEE and DAIEE. (B) Cytotoxicity of the different molecular constituents in C2C12 cells. (C) Effects of the different molecular constituents on C2C12 glucose uptake ratio. Values are means ± SD from three independent experiments; statistical significance compared to 0.1% DMSO control analyzed by one-way ANOVA and Dunnett’s multiple comparison test is indicated as *P < 0.05, **P < 0.01, and ***P < 0.001.
Fig. 3Effects of baicalin on the modulation of the antidiabetic pathways in C2C12 cells. (A) The IRS-1 and PIK/Akt-based insulin signaling pathway. (B) The GLUT-4 translocation pathway. (C) The p38/ERK pathway. (D) The AMPK/ACC pathway. Insulin (150 nM) was included for comparison. The cell lysates were subjected to Western blot analysis with antibodies against the indicated proteins. β-actin served as a loading control. Representative blots from three independent experiments are shown.
Fig. 4Effects of baicalin on the AMPK signaling pathway. (A) Cells were transfected with or without AMPK siRNA before treated with 50 μM baicalin or 0.1% DMSO control for 24 h. Insulin (150 nM) was included for comparison. The cell lysates were subjected to Western blot analysis with antibodies against the indicated proteins. β-actin served as a loading control. Representative blots from three independent experiments are shown. (B) Effect of AMPK siRNA on the baicalin-stimulated glucose uptake. Values are means ± SD from three independent experiments. Means within the same column but with different superscript are significantly different at P < 0.05 as analyzed by Duncan’s multiple range tests.