Establishment of Feedforward Control Model for Dry Granulation of Polysaccharide Components Based on Quality by Design / 中国实验方剂学杂志

ObjectiveA feedforward control model for dry granulation of polysaccharide components was established to guide the adjustment and optimization of critical process parameters （CPPs） in the design space， so as to reduce the impact of fluctuations in raw materials properties on the quality of medicines. MethodTaking Astragali Radix extract powder as the model drug， the design space of dry granulation CPPs was determined by Box-Behnken design. Astragali Radix mixed powder with different powder properties were prepared by mixture design， the variance inflation factor （VIF） was used to diagnose the multicollinearity of the powder properties， and principal component analysis （PCA） was used to extract the characteristic data of the model. Radial basis function neural network （RBFNN） was used to establish a feedforward control model for reflecting the relationship between the powder properties of polysaccharide components， dry granulation CPPs and one-time molding rate. ResultThe design space for dry granulation CPPs of polysaccharide components was 16-35 Hz for feeding speed， 10-23 Hz for roller speed， and 10-46 kg·cm-2 for roller pressure. The established RBFNN feedforward control model had a good predictive effect on the one-time molding rate of dry granulation of polysaccharide components， which could be used to guide the adjustment and optimization of CPPs in the design space， the relative error was 0.38%-6.73%， and the average relative error was 3.42%. ConclusionThe established feedforward control model can well reflect the relationship between the powder properties of the polysaccharide components， the dry granulation CPPs and the one-time molding rate of the granules， which can be used to guide the adjustment and optimization of CPPs in the design space， reduce the impact of material property fluctuation on product quality， and provide ideas for promoting the quality of traditional Chinese medicine from passive control to active control.

Panax notoginseng saponins prevent colitis-associated colorectal cancer via inhibition IDO1 mediated immune regulation / 中国天然药物

Colorectal cancer (CRC) is the third most lethal cancer and leading cause of cancer mortality worldwide. A key driver of CRC development is colon inflammatory responses especially in patients with inflammatory bowl disease (IBD). It has been proved that Panax notoginseng saponins (PNS) have anti-inflammatory, anti-oxidant and anti-tumor effects. The chemopreventive and immunomodulatory functions of PNS on colitis-associated colorectal cancer (CAC) have not been evaluated.This present study was designed to study the potential protective effects of PNS on AOM/DSS-induced CAC mice to explore the possible mechanism of PNS against CAC. Our study showed that PNS significantly alleviated colitis severity and prevented the occurrence of CAC. Functional assays revealed that PNS relieved immunosuppression of Treg cells in the CAC microenvironment by inhibiting the expression of IDO1 mediated directly by signal transducer and activator of transcription 1 (STAT1) rather than phosphorylated STAT1. Ultimately, Rh1, one of the PNS metabolites, exhibited the best inhibitory effect on IDO1 enzyme activity. Our study showed that PNS exerted significant chemopreventive function and immunomodulatory properties on CAC. It could reduce macrophages accumulation and Treg cells differentiation to reshape the immune microenvironment of CAC. These findings provided a promising approach for CAC intervention.

Prediction of Disintegration Time of Traditional Chinese Medicine Tablets Based on Generalized Regression Neural Network / 中国实验方剂学杂志

Objective:This paper constructs a generalized regression neural network （GRNN） model to predict the disintegration time of traditional Chinese medicine （TCM） tablets. Method:Taking Astragali Radix as a model drug， the mixed Astragali Radix powders with different powder properties were prepared by mixing Astragali Radix extract powders with microcrystalline cellulose and lactose， which were made to Astragali Radix tablets by direct compression method. The powder properties of mixed Astragali Radix powders and the disintegration time of Astragali Radix tablets were determined， respectively. The correlation between the original data was eliminated by principal component analysis （PCA）. The principal component factors were used as the input layer of the GRNN model， and the disintegration time was used as the output layer for network training. Finally， the verification group data was used to predict the disintegration time， and the network prediction accuracy was calculated by comparing with the actual value. Result:Three principal component factors were obtained through PCA by analyzing the original nine variables that were correlated with each other （Hausner ratio， true density， tap density， compression degree， angle of repose， bulk density， porosity， water content and total dissolved solids）， which reduced the complexity of the network. The prediction value of the disintegration time based on this prediction method was in good agreement with the actual value， the error of disintegration time was 0.01-1.34 min and the average relative error was 3.16%. Conclusion:Based on the GRNN mathematical model， the physical properties of Astragali Radix extract powders can be used to accurately predict the disintegration time of Astragali Radix tablets， which provides a reference for studying the disintegration time of TCM tablets.

Research on Bayesian fault diagnosis model of traditional Chinese medicine dry granulation based on failure model and effect analysis (FMEA) / 中国中药杂志

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.

Application of FMEA and Bayesian Network in Risk Assessment of Fluidized Bed Granulation of Traditional Chinese Medicine / 中国实验方剂学杂志

Objective:To carry out the risk assessment on the factors in the process of granulation fluidized bed of traditional Chinese medicine(TCM) by using failure model and effect analysis(FMEA) and Bayesian network(BN), in order to effectively control risk factors and improve product quality. Method:The risk analysis of the fluidized bed granulation process was carried out by FMEA and the selected medium risk and high risk factors were taken as the main control points, the corresponding BN was established. The sensitivity analysis was used to screen out the main risk factors affecting particle fluidity, particle size uniformity, solubility and product cleanliness, the occurrence probability of each risk factor was determined by the evidence of unqualified particle quality, finally, taking fluidized bed granulation process of Sanye tablets as an example, the FMEA and BN were combined into the risk assessment process to verify the effectiveness and reliability of the method. Result:Based on the middle and high risk points of fluidized bed process, particle size of raw materials, moisture content and hygroscopicity of raw materials, dosage, concentration and addition amount of binder, cleaning degree and integrity of collection bag, and nozzle position, which were selected by FMEA, a fluidized bed granulation risk network with causality was constructed. Among them, hygroscopicity of raw materials, concentration and addition amount of binder, inlet temperature and atomization pressure were high probability risk factors, and the probability of occurrence were 55%, 63%, 59%and 58%, respectively. According to the Bayesian risk relationship network which controlled Sanye tablets fluidized bed granulation analysis results showed that the P values of inlet temperature, atomization pressure and concentration of binder were 0.003 4, 0.032 6 and 0.041 8, respectively in the regression model of influencing factors and particle size uniformity, indicating that there was a significant correlation between the three factors and the particle quality, which was basically consistent with the conclusion obtained by FMEA-BN method. Conclusion:The combination of FMEA and BN for visualized risk assessment of fluidized bed granulation helps to effectively control the risk factors in the granulation process, reduce product quality risks and provide strong support for the improvement of granulation process of TCM.

In vitro transdermal behavior of effective constituents in Chonghe gel / 中国中药杂志

Chonghe gel originated from the Chinese ancient prescription, can be used for the treatment of diabetic foot. This experiment was to study the transdermal absorbability of paeoniflorin and osthole in Chonghe gel . Franz diffusing cells method was adopted for the in vitro model of rat belly skins. Paeoniflorin and osthole in the receiving liquid, skins and gel were determined by HPLC. The receiving liquid were screened, and Chonghe gel and Chonghe ointment were compared by transdermal absorbability. Result showed that ethanol-normal saline (2: 8) solution was the appropriate receiving liquid. The penetration rates of paeoniflorin and osthole were 78.07, 7.08 microg x cm(-2) x h(-1). respectively. In 24 h, the accumulated penetration rates were (31.51 +/- 1.33)%, (12.38 +/- 1.28)%, respectively. The retention rates of paeoniflorin and osthole in skin were (0.92 +/- 0.45)%, (4.81 +/- 1.03) %, respectively. The retention of osthole in skins was a drug reservoir. Transdermal behavior of effective constituents in Chonghe gel was more efficient than that in ointment. In vitro, the transdermal behavior of paeoniflorin in Chonghe gel was close to a Weibull process, while the behavior of osthole was close to Higuchi process.

Thinking on acupuncture finger force in the acupuncture quantity study / 中国针灸

As an important link during the whole operation process of acupuncture, it is very necessary to launch quantity study closely related to acupuncture finger force in the acupuncture quantity study. After retrieval of related literatures on finger force during acupuncture in recent 20 years, it was found out that although some exploration on acupuncture finger force had been made, it was scattered and had no deep research, which pointed out it was a weak link in the acupuncture quantity study. So study of finger force should be paid attention to in acupuncture-moxibustion field, the level of theoretical and experimental research and development of measuring instrument on acupuncture finger force should be strengthened, the application of instrument should be expanded in teaching and scientific research areas, which could promote the modernization and internationalization of acupuncture and moxibustion better and faster.

Testosterone could induce a rapid rise in intracellular free Ca2+ concentration through binding to the membrane surface of bone marrow-derived macrophages / 中华男科学杂志

<p><b>OBJECTIVE</b>To investigate the ways testosterone influences the murine bone marrow-derived macrophages (BMMs) and how testosterone affects the function of BMMs after bound to their membrane surface.</p><p><b>METHODS</b>BMMs were cultured in vitro, their total RNA and proteins isolated, and the expression of intracellular androgen receptor (AR) detected through RT-PCR and Western blotting. The binding site of testosterone (T) to the membrane surface of BMMs was observed by confocal laser scanning microscopy after T-BSA-FITC incubation. Moreover, the intracellular Ca2+ was tested by Fura-2 method, and the influence of ionic currents on BMMs plasma membrane induced by testosterone was examined by the whole cell patch-clamp.</p><p><b>RESULTS</b>RT-PCR and Western blotting failed to detect intracellular ARs in BMMs, but confocal laser scanning microscopy showed testosterone to be bound to the membrane surface of BMMs by impermeable T-BSA-FITC, inducing a rapid rise in the intracellular free Ca2+ concentration ([Ca2+]i) of Fura-2 loaded BMMs, predominantly due to the influx of extracellular Ca2+ through Ni2+ -blockable Ca2+ channels in the plasma membrane. Similarly, the patch-clamp technique revealed T-induced calcium influx in BMMs.</p><p><b>CONCLUSION</b>It is reasonable to assume that the testosterone receptor exists on the plasma membranes, and testosterone act through unconventional plasma membrane receptors, induce Ca2+ influx and a rapid rise in the intracellular Ca2+ concentration, and influence the function of BMMs.</p>