[Preventive and therapeutic effects and mechanism of Xiaoer Feike Granules on chronic bronchitis induced by lipopolysaccharide in rats].

The aim of this paper was to investigate the preventive and therapeutic effects of Xiaoer Feike Granules(XEFK) on chronic bronchitis in rats and its mechanism. Except for 10 rats in the blank group, the remaining 50 of the 60 SD rats were used to establish a model of chronic bronchitis induced by LPS. On the 22 nd day, the model rats were randomly divided into 5 groups according to their body weight, and administrated with purified water, Keteling Capsules 0.11 g·kg~(-1), XEFK 3.2, 1.6 and 0.8 g·kg~(-1)(the dosing concentrations were 0.32, 0.16, 0.08 g·mL~(-1), respectively). These rats took the corresponding drug orally once a day, for consecutive 21 days. The rats were anesthetized 1 hour after the last administration, and the lavage bronchus and alveoli were collected. Then, after the fixation of the smear, neutrophils were counted microscopically, and the contents of glutathione peroxidase(GSH-Px), superoxide dismutase(SOD) and malondialdehyde(MDA) in the bronchoalveolar lavage fluid(BALF) were detected by colorimetric method. Flow cytometry was used to detect the content changes of T cell subsets CD4~+, CD8~+, CD4~+/CD8~(+ )in serum. Hemorheology related indexes were detected by automatic hemorheology. Enzyme-linked immunosorbent assay(ELISA) was used to detect the contents of tumor necrosis factor-α(TNF-α), interleukin-1ß(IL-1ß), IL-2, IL-6 and IL-10 in serum. The expression of TNF-α and IL-10 mRNA in lung was detected by Real-time quantitative PCR(RT-qPCR). HE staining was used to observe the pathological changes in the bronchitis tissues. Compared with the model group, XEFK high and medium dose groups could significantly reduce the contents of neutrophils and MDA in bronchial lavage fluid, and increase the activities of GSH-Px and SOD in BALF, and repair the chronic inflammatory cell infiltration and lymphoid tissue hyperplasia in the bronchial mucosal layer and submucosal layer. The high-dose group could reduce the plasma viscosity of rats, but there was no statistical difference in other hemorheological indexes. CD4~+, CD8~+, CD4~+/CD8~+, IL-2 and IL-10 contents in each dose group were significantly increased, and TNF-α, IL-1ß and IL-6 contents were significantly decreased in serum. Each dose group could significantly down-regulate the expression level of TNF-α mRNA in the lung and increase the expression of IL-10 mRNA. XEFK could reduce lipid peroxidation, increase the content of peripheral blood T cell subsets, regulate the release and secretion of inflammatory factors, and repair the morphological and pathological changes of bronchial tissue. Its mechanism might be related to the improvement of inflammatory response and the enhancement of immune function.

[Rapid determination of active components in Ginkgo biloba leaves by near infrared spectroscopy combined with genetic algorithm joint extreme learning machine].

Near-infrared spectroscopy(NIRS) combined with band screening method and modeling algorithm can be used to achieve the rapid and non-destructive detection of the traditional Chinese medicine(TCM) production process. This paper focused on the ginkgo leaf macroporous resin purification process, which is the key technology of Yinshen Tongluo Capsules, in order to achieve the rapid determination of quercetin, kaempferol and isorhamnetin in effluent. The abnormal spectrum was eliminated by Mahalanobis distance algorithm, and the data set was divided by the sample set partitioning method based on joint X-Y distances(SPXY). The key information bands were selected by synergy interval partial least squares(siPLS); based on that, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA) and Monte Carlo uninformative variable(MC-UVE) were used to select wavelengths to obtain less but more critical variable data. With selected key variables as input, the quantitative analysis model was established by genetic algorithm joint extreme learning machine(GA-ELM) algorithm. The performance of the model was compared with that of partial least squares regression(PLSR). The results showed that the combination with siPLS-CARS-GA-ELM could achieve the optimal model performance with the minimum number of variables. The calibration set correlation coefficient R_c and the validation set correlation coefficient R_p of quercetin, kaempferol and isorhamnetin were all above 0.98. The root mean square error of calibration(RMSEC), the root mean square error of prediction(RMSEP) and the relative standard errors of prediction(RSEP) were 0.030 0, 0.029 2 and 8.88%, 0.041 4, 0.034 8 and 8.46%, 0.029 3, 0.027 1 and 10.10%, respectively. Compared with the PLSR me-thod, the performance of the GA-ELM model was greatly improved, which proved that NIRS combined with GA-ELM method has a great potential for rapid determination of effective components of TCM.