ABSTRACT
OBJECTIVE Optimizing the water extraction technology of Xiangqin jiere granules. METHODS The orthogonal test of 3 factors and 3 levels was designed， and comprehensive scoring was conducted for the above indexes by using G1-entropy weight to obtain the optimized water extraction technology of Xiangqin jiere granules with water addition ratio， extraction time and extraction times as factors， using the contents of forsythoside A， baicalin， phillyrin， oroxylin A-7-O-β-D-glycoside， wogonoside， baicalein and wogonin， and extraction rate as evaluation indexes. BP neural network modeling was used to optimize the network model and water extraction process using the results of 9 groups of orthogonal tests as test and training data， the water addition multiple， decocting time and extraction times as input nodes， and the comprehensive score as output nodes. Then the two analysis methods were compared by verification test to find the best water extraction process parameters. RESULTS The water extraction technology optimized by the orthogonal test was 8-fold water， extracting 3 times， extracting for 1 h each time. Comprehensive score was 96.84 （RSD＝0.90%）. The optimal water extraction technology obtained by BP neural network modeling included 12-fold water， extracting 4 times， extracting for 0.5 h each time. The comprehensive score was 92.72 （RSD＝0.77%）， which was slightly lower than that of the orthogonal test. CONCLUSIONS The water extraction technology of Xiangqin jiere granules is optimized successfully in the study， which includes adding 8-fold water， extracting 3 times， and extracting for 1 hour each time.
ABSTRACT
This paper aims to study the effect of Xiangqin Jiere Granules(XQ) on lipid metabolism and chronic inflammation in different obesity model mice. The monosodium glutamate(MSG) obese mouse model was established by subcutaneous injection of MSG in newborn mice, and the high fat diet(HFD) obese mouse model was established by feeding adult mice with HFD. The normal mice were assigned into the control group; the MSG obese mice were assigned into MSG model group, XQ4.5 group(Xiangqin Jiere Granu-les, 4.5 g·kg~(-1)), XQ22.5 group(Xiangqin Jiere Granules, 22.5 g·kg~(-1)); the HFD obese mice were assigned into HFD model group, XQ4.5 group, and XQ22.5 group. The mice were intragastrically administrated with saline or XQ for 5 weeks. After that, the body weight, visceral fat mass, liver and thymus weight, and the organ indexes in each group were measured. The levels of triglyceride(TG), total cholesterol(TC), and low-density lipoprotein cholesterol(LDL-c) in serum and liver tissue were detected by the kits. The mRNA expression levels of acetyl CoA carboxylase 1(ACC1), fatty acid synthetase(FAS), diacylgycerol acyltransferase 1(DGAT1) and hepatic lipase(HTGL) involved in lipid metabolism in mouse liver tissue were detected by quantitative real-time PCR(qPCR). The protein levels of tumor necrosis factor-α(TNF-α) and interleukin-6(IL-6) in serum were detected by ELISA, and the mRNA levels of TNF-α and IL-6 in liver tissue were detected by qPCR. Compared with the control group, MSG and HFD mice showed increased body weight, abdominal circumference, Lee index and visceral fat mass as well as elevated levels of TG, TC, and LDL-c in serum. The model mice had up-regulated gene levels of ACC1, FAS and DGAT1 while down-regulated gene level of HTGL in the liver. Furthermore, the mRNA and protein levels of IL-6 increased in the model mice. Compared with the model mice, XQ treatment decreased the body weight, abdominal circumference, Lee index, and visceral fat mass, lowered the levels of TG, TC, and LDL-c in se-rum, down-regulated the gene levels of ACC1, FAS, and DGAT1 in liver tissue, up-regulated the gene level of HTGL, and down-regulated the mRNA and protein levels of IL-6. To sum up, XQ has good therapeutic effect on different obesity model mice. It can improve lipid metabolism and reduce fat accumulation in obese mice by regulating the enzymes involved in lipid metabolism, and alleviate obesity-related chronic low-grade inflammation.