Jiangdodson6240

Fucoidan(FPS) is an effective component of the Chinese patent medicine named Haikun Shenxi, which treats schronic renal failure in clinics, and has the potential anti-aging effects. selleck chemicals llc However, it is still unclear whether FPS can improve renal aging, especially the molecular mechanism of its anti-aging. The human proximal renal tubular epithelial cells(HK-2) in vitro were divided into normal group(N), D-gal model group(D), low dose of FPS group(L-FPS), high dose of FPS group(H-FPS) and vitamin E group(VE), and treated by the different measures, respectively. More specifically, the HK-2 cells in each group were separately treated by 1 mL of 1% fetal bovine serum(FBS) or D-galactose(D-gal, 75 mmol·L~(-1)) or D-gal(75 mmol·L~(-1))+FPS(25 μg·mL~(-1)) or D-gal(75 mmol·L~(-1))+FPS(50 μg·mL~(-1)) or D-gal(75 mmol·L~(-1))+VE(50 μg·mL~(-1)). After the treatment for 24 h, firstly, the effects of D-gal on senescence-associated β-galactosidase(SA-β-gal) staining characteristics and klotho, P53 and P21 protein expression le-ctions of FPS and VE are similar. D-gal could not only induce cell aging but also increase LC3Ⅱ, phosphorylated-AMPK(p-AMPK) and phosphorylated-ULK1(p-ULK1) protein expressions, and activate autophagy-related AMPK-ULK1 signaling pathway. FPS and VE could both improve the changes of LC3Ⅱ, p-AMPK and p-ULK1 protein expression levels in the HK-2 cells exposed to D-gal. That is inhibiting autophagy-related AMPK-ULK1 signaling pathway activation. On the whole, for the human proximal renal tubular epithelial cells aging models induced by D-gal, FPS similar to VE, can ameliorate renal cells aging by possibly inhibiting autophagy-related AMPK-ULK1 signaling pathway activation. This finding provides the preliminary pharmacologic evidences for FPS protecting against renal aging.In order to effectively solve the over-processing problem of Platycladi Cacumen Carbonisata, which was commonly used as a hemostatic drug in clinical application, we used the quantitative analysis method of multi-components by single marker(QAMS) in this study, with quercetin as internal reference to simultaneously determine the content of six flavonoids which can be used to control the internal quality of Platycladi Cacumen Carbonisata. Based on the comparison of QAMS and external standard method(ESM) results, the limit standards of contents were established as follows isoquercitroside ≥0.002 0%, quercitroside ≥0.050%, quercetin ≥0.030%, kaempferol and amentoflavone both ≥0.010%, hinokiflavone ≥0.050%. Based on the color detection of Platycladi Cacumen and Platycladi Cacumen Carbonisata with different processing degrees, the law of influence of different processing degrees on the color of Platycladi Cacumen Carbonisata was found. A new external quality standard of Platycladi Cacumen Carbonisata was established by fitting curve of color recognition for the external quality control, based on which the standard ranges of ΔL~*, Δb~* and ΔE were-50.00--44.00, 6.00-11.00 and 45.00-50.00 respectively. Effective combination of established internal and external quality control standards by this study can be used to evaluate the processing degree and quality of Platycladi Cacumen Carbonisata more comprehensively and objectively, which can guarantee its clinical efficacy. At the same time, this study also provides reference and basis for further improving the quality control standard of Platycladi Cacumen Carbonisata.To prepare and optimize the self-microemulsion co-loaded with tenuifolin and β-asarone(TF/ASA-SMEDDS) and evaluate its quality. The prescription compositions of TF/ASA-SMEDDS were screened by solubility test, single factor test and pseudo-tern-ary phase diagram, and the prescriptions were further optimized by Box-Behnken response surface method, with the drug loading and particle size as the evaluation indexes. Then the optimized TF/ASA-SMEDDS was evaluated for emulsified appearance, particle size, morphology and drug release in vitro. The optimized prescription for TF/ASA-SMEDDS was as follows caprylic citrate triglyceride polyoxyethylene castor oil-glycerol(10.8∶39.2∶50), drug loading of(5.563±0.065) mg·g~(-1) for tenuifolin and(5.526±0.022) mg·g~(-1) for β-asarone; uniform and transparent pan-blue nanoemulsion can be formed after emulsification, with particle size of(28.84±0.44) nm. TEM showed that TF/ASA-SMEDDS can form spherical droplets with a uniform particle size after emulsification; In vitro release test results showed that the drug release rate and cumulative release of tenuifolin and β-asarone were significantly improved. The preparation process of TF/ASA-SMEDDS was simple and can effectively improve in vitro release of tenuifolin and β-asarone.This paper aims to construct a Bayesian(BN) fault diagnosis model of traditional Chinese medicine dry granulation based on the failure model and effect analysis(FMEA), effectively control risk factors and ensure the quality of granules.Firstly, the risk ana-lysis of dry granulation process was carried out with FMEA, and the selected medium and high risk factors were taken as node variables to establish corresponding BN network with causality.According to the mathematical reasoning method of probability theory, the model was accurately inferred and verified by Netica, and the granule nonconformance was used as the evidence for reversed reasoning to determine the most likely cause of the failure that affected the granule quality.The BN fault diagnosis model of traditional Chinese medicine dry gra-nulation was established based on the medium and high risk factors of process, prescription and equipment screened out by FMEA, such as roller pressure, raw material viscosity, clearance between rollers in the paper.The fault diagnosis of traditional Chinese medicine dry granulation process was then carried out according to the model, and the posterior probability of each node under the premise of nonconforming granule quality was obtained.This method could provide strong support for operators to quickly eliminate faults and make decisions, so as to improve the efficiency and accuracy for fault diagnosis and prediction, with innovation in its application.