Lean strategy for data mining and continuous improvement of Chinese pharmaceutical process: a case study of sporoderm-removal Ganoderma lucidum spore powder / 中国中药杂志

In the digital transformation of Chinese pharmaceutical industry, how to efficiently govern and analyze industrial data and excavate the valuable information contained therein to guide the production of drug products has always been a research hotspot and application difficulty. Generally, the Chinese pharmaceutical technique is relatively extensive, and the consistency of drug quality needs to be improved. To address this problem, we proposed an optimization method combining advanced calculation tools(e.g., Bayesian network, convolutional neural network, and Pareto multi-objective optimization algorithm) with lean six sigma tools(e.g., Shewhart control chart and process performance index) to dig deeply into historical industrial data and guide the continuous improvement of pharmaceutical processes. Further, we employed this strategy to optimize the manufacturing process of sporoderm-removal Ganoderma lucidum spore powder. After optimization, we preliminarily obtained the possible interval combination of critical parameters to ensure the P_(pk) values of the critical quality properties including moisture, fineness, crude polysaccharide, and total triterpenes of the sporoderm-removal G. lucidum spore powder to be no less than 1.33. The results indicate that the proposed strategy has an industrial application value.

Danshen-Chuanxiongqin Injection attenuates cerebral ischemic stroke by inhibiting neuroinflammation via the TLR2/ TLR4-MyD88-NF-κB Pathway in tMCAO mice / 中国天然药物

Danshen-Chuanxiongqin Injection (DCI) is a commonly used traditional Chinese medicine for the treatment of cerebral ischemic stroke in China. However, its underlying mechanisms remain completely understood. The current study was designed to explore the protective mechanisms of DCI against cerebral ischemic stroke through integrating whole-transcriptome sequencing coupled with network pharmacology analysis. First, using a mouse model of cerebral ischemic stroke by transient middle cerebral artery occlusion (tMCAO), we found that DCI (4.10 mL·kg

Systematic chemical characterization of Xiexin decoctions using high performance liquid chromatography coupled with electrospray ionization mass spectrometry / 中国天然药物

Xiexin decoctions (XXDs) display beneficial anti-inflammatory and anti-diabetic effects, which raises interests on this group of formulae for broad clinical applications. However, there was no report about systematic analysis of XXDs to elucidate the constitution of chemical components, which hampers further investigations on the therapeutic values of XXDs. In this work, crude herbs were extracted and prepared to obtain the XXDs for systemic analysis on their chemical compositions, according to the information described in the ancient Zhang Zhongjing's herbal formulae. LC-MS analysis of five XXDs was carried out to facilitate recognition of the source herbs for compounds in the mixture. A total number of 93 compounds were identified through our methods and their chemical classes encompassed five major groups, including protoberberine alkaloids, flavonoids, stilbenes, anthraquinones and saponins. Our current work provided important information about material basis for pharmacological studies on XXDs and would help shed light on relationships between chemical compositions and therapeutic effects.

Mechanism of Xuanfei Baidu Tang in treatment of COVID-19 based on network pharmacology / 中国中药杂志

The study aimed to investigate the multi-constituent, multi-target mechanism of Xuanfei Baidu Tang(XFBD) in the treatment of coronavirus disease 2019(COVID-19), through exploring the main ingredients and effective targets of XFBD, as well as analyzing the correlation between XFBD targets and COVID-19. The compounds of each herb in XFBD were collected from TCM-PTD, ETCM, TCMSP and SymMap database. Next, the information of meridian tropisms was collected from Chinese Pharmacopoeia(2015 edition), and the target information of the major constituents of XFBD were obtained from TCM-PTD, ETCM, TCMSP and TargetNet database. Subsequently, the target network model and the major modules were generated by Cytoscape, and the functional enrichment analysis of XFBD targets were completed by DAVID and STRING. As a result, ten of the 13 herbs in XFBD belonged to the lung meridian, and 326 of the 1 224 putative XFBD targets were associated with the disease target of COVID-19, among which 109 targets were enriched in the disease pathways of viral infection and lung injury. The main biological pathways regulated by the key XFBD targets included viral infection, energy metabolism, immunity and inflammation, parasites and bacterial infections. In conclusion, the therapeutic mechanism of XFBD in COVID-19 showed a multi-herb, multi-constituent, multi-target pattern, with lung as the chief targeted organ. By regulating a series of biological pathways closely related to the occurrence and development of diseases, XFBD plays a role in balancing immunity, eliminating inflammation, regulating hepatic and biliary metabolism and recovering energy metabolism balance.

UPLC fingerprint combined with quantitative analysis of multi-components by single marker for quality assessment of Danshen Injection / 中国中药杂志

Testing and analysis of chemical markers is currently the prevailing approach for quality assessment of traditional Chinese medicines. However,several important issues remain to be addressed,including the trade-off between accuracy and coverage. In this study,in order to give full play to the advantages of their respective methods and provide technical support for more comprehensively and rapidly evaluate the quality of Danshen Injection products,a fingerprint method was coupled with quantitative analysis of multicomponents by single marker( QAMS),with Danshen Injection as the carrier. Ultra performance liquid chromatography( UPLC) was used to establish the quantitative fingerprint. The UPLC fingerprints contained 13 common peaks,11 of which were identified by using ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry( UPLC-QTOF-MS). Furthermore,with sodium danshensu as the internal reference substance,relative correction factors( RCFs) of protocatechuic aldehyde,caffeic acid,rosmarinic acid,lithospermic acid,and salvianolic acid B were calculated through slope analysis method,and the QAMS method was adopted to determine the contents of these 6 components. The UPLC fingerprint was employed to assess the consistency of 12 batches of Danshen Injection,which showed good batch-to-batch consistency with similarity higher than 0. 99. In the comparison of contents of the six constituents obtained by QAMS and external standard method( ESM),RSD was all less than 4. 3%,indicating the good accuracy of the QAMS method. The QAMS method developed in this study combined with UPLC fingerprint can comprehensively reflect the internal quality of Danshen Injection when only the reference substance sodium danshensu is consumed,with greatly reduced detection cost and time. It provides a technical basis for further improving the quality standard of Danshen Injection.

Potential hepatic and renal toxicity induced by the biflavonoids from Ginkgo biloba / 中国天然药物

Evidence continues to grow on potential health risks associated with Ginkgo biloba and its constituents. While biflavonoid is a subclass of the flavonoid family in Ginkgo biloba with a plenty of pharmacological properties, the potential toxicological effects of biflavonoids remains largely unknown. Thus, the aim of this study was to investigate the in vitro and in vivo toxicological effects of the biflavonoids from Ginkgo biloba (i.e., amentoflavone, sciadopitysin, ginkgetin, isoginkgetin, and bilobetin). In the in vitro cytotoxicity test, the five biflavonoids all reduced cell viability in a dose-dependent manner in human renal tubular epithelial cells (HK-2) and human normal hepatocytes (L-02), indicating they might have potential liver and kidney toxicity. In the in vivo experiments, after intragastrical administration of these biflavonoids at 20 mg·kg·d for 7 days, serum biochemical analysis and histopathological examinations were performed. The activity of alkaline phosphatase was significantly increased after all the biflavonoid administrations and widespread hydropic degeneration of hepatocytes was observed in ginkgetin or bilobetin-treated mice. Moreover, the five biflavonoids all induced acute kidney injury in treated mice and the main pathological lesions were confirmed to the tubule, glomeruli, and interstitium injuries. As the in vitro and in vivo results suggested that these biflavonoids may be more toxic to the kidney than the liver, we further detected the mechanism of biflavonoids-induced nephrotoxicity. The increased TUNEL-positive cells were detected in kidney tissues of biflavonoids-treated mice, accompanied by elevated expression of proapoptotic protein BAX and unchanged levels of antiapoptotic protein BCL-2, indicating apoptosis was involved in biflavonoids-induced nephrotoxicity. Taken together, our results suggested that the five biflavonoids from Ginkgo biloba may have potential hepatic and renal toxicity and more attentions should be paid to ensure Ginkgo biloba preparations safety.

Replication and Pathology of Duck Influenza Virus Subtype H9N2 in Chukar / 生物医学与环境科学（英文）

To investigate the susceptibility of Chukars to duck avian influenza virus H9N2 and explore their role in interspecies transmission of influenza viruses. Chukars were inoculated with duck avian influenza viruses H9N2. The present study demonstrated that inflammatory lesions and virus antigen were present in the trachea, bronchus, and parabronchus, and the viruses could be isolated from throat swabs and lung tissue homogenate supernatants. At 14 d post virus inoculation, anti-H9 influenza virus antibody in the serum was detected. The results indicated that Chukars are susceptible to duck avian influenza virus and serve as an intermediate host, thereby facilitating viral gene evolution and supporting the need for continued surveillance of epidemiology and evolution of the influenza virus in Chukars.

Development and application of component-based Chinese medicine theory / 中国中药杂志

Traditional Chinese medicine (TCM) prescription is the main therapies for disease prevention and treatment in Chinese medicine. Following the guidance of the theory of TCM and developing drug by composing prescriptions of TCM materials and pieces, it is a traditional application mode of TCM, and still widely used in clinic. TCM prescription has theoretical advantages and rich clinical application experience in dealing with multi-factor complex diseases, but scientific research is relatively weak. The lack of scientific cognition of the effective substances and mechanism of Chinese medicine leads to insufficient understanding of the efficacy regularity, which affects the stability of effect and hinders the improvement of quality of Chinese medicinal products. Component-based Chinese medicine (CCM) is an innovation based on inheritance, which breaks through the tradition of experience-based prescription and realize the transformation of compatibility from herbal pieces to components. CCM is an important achievement during the research process of modernization of Chinese medicine. Under the support of three national "973" projects, in order to reveal the scientific connotation of the prescription compatibility theory and develop innovative Chinese drugs, we have launched theoretical innovation and technological innovation around the "two relatively clear", and opened up the research field of CCM. CCM is an innovation based on inheritance, breaking through the tradition of experience based prescription, and realizing the transformation from compatibility of herbal pieces to component compatibility, which is an important achievement of the modernization of traditional Chinese medicine. In the past more than 10 years, with the deepening of research and the expansion of application, the theory and methods of CCM and efficacy-oriented compatibility have been continuously improved. The value of CCM is not only in developing new drug, more important is to build a communication bridge between traditional Chinese medicine and modern science and construct the system of key technologies which meet the need of innovation and development of TCM. This paper focused on the research progress, related concepts and technology development of CCM, as well as its application prospect in the theory research of Chinese medicine, development of innovative Chinese drugs, secondary development of Chinese patent medicine and upgrading of pharmaceutical technology.

Research progress of 5-hydroxymethylfurfural, a safety-related substance in traditional Chinese medicine injections / 中国中药杂志

Screening out the safety-related substances and establishing the corresponding standard has been a key research issue to improve the safety of traditional Chinese medicine injections(TCMIs). 5-HMF which widely exists in sugar-containing TCMIs has long been considered as an important safety-related substance. In this review, we summarizes the research progress on the toxicology of 5-HMF as well as the content and standards of 5-HMF in TCMIs.Therein, both literature summary and analysis results indicate that there are lack of toxicology researches of 5-HMF and its metabolites in TCMIs, although the potential toxicity of 5-HMF and its metabolites has been reported. Moreover, the content of 5-HMF largely varies from TCMIs to TCMIs, and even in the same TCMIs from different factories. To ensure the clinical efficacy of TCMIs, it urgent to carry out the study of the toxicology of 5-HMF in TCMIs comprehensively and systematically, so as to set up a relatively uniform standard as well as to develop process quality control method.

Toxicogenomics and its application in safety evaluation of traditional Chinese medicine / 中国中药杂志

Toxicogenomics (TGx) refers to a set of technologies that assess genome-wide responses after toxic agent exposure. Altered gene expression patterns that are caused by specific exposures reveal how toxicants may disrupt cellular processes and lead to side effects. Development and application of " omics" technology facilitate the toxicogenomic research which sharing and interpretation of the enormous amount of biological information generated in toxicologic field. In recent years TGx has been widely valued and successfully applied as an effective research tool to evaluate the toxic effects of traditional Chinese medicine (TCM). Here we reviewed current progress in the field of TGx and focused on its application in traditional Chinese medicine safety evaluation, especially in revealing the mechanism, finding potential toxic biomarkers and studying compatibility detoxification of TCM.

Dissecting functional chemome of Xiaoqinglong decoction analogous formulae using network formulaology approach / 中国中药杂志

Analogous formulae (AF) refer to a set of traditional Chinese medicine (TCM) formulae sharing similar herbs and/or indications. Dissecting functional chemome of analogous formulae could enhance the understanding of the intrinsic nature of TCM. In this study, taking 5 Xiaoqinglong decoction analogous formulae (XQL AF) including Xiaoqinglong decoction, Mahuang Xingren Shigao Gancao decoction, Mahuang Fuzi decoction, Houpu Mahuang decoction and Daqinglong decoction as example, we systematically investigated the relationship between compounds and indications using network formulaology approach. The functional chemome of XQL AF were revealed by network analysis and molecular docking. This successful application in XQL AF suggests network formulaology could be a useful tool for AF-related research and therefore provide a new way to discover the scientific foundation of Zhang Zhongjing's herbal formulae.

Network formulaology: a new strategy for modern research of traditional Chinese medicine formulae / 中国中药杂志

This paper briefly analyzed and discussed the current status and major scientific challenges of traditional Chinese medicine (TCM) formulaology research. To promote formulaology research, a new strategy and corresponding technology, network formulaology, were proposed to reveal the complex interaction between functional chemome and biological responses network. The research framework and directions of network formulaology were also summarized and prospected.

Reliability theory based on quality risk network analysis for Chinese medicine injection / 中国中药杂志

A new risk analysis method based upon reliability theory was introduced in this paper for the quality risk management of Chinese medicine injection manufacturing plants. The risk events including both cause and effect ones were derived in the framework as nodes with a Bayesian network analysis approach. It thus transforms the risk analysis results from failure mode and effect analysis (FMEA) into a Bayesian network platform. With its structure and parameters determined, the network can be used to evaluate the system reliability quantitatively with probabilistic analytical appraoches. Using network analysis tools such as GeNie and AgenaRisk, we are able to find the nodes that are most critical to influence the system reliability. The importance of each node to the system can be quantitatively evaluated by calculating the effect of the node on the overall risk, and minimization plan can be determined accordingly to reduce their influences and improve the system reliability. Using the Shengmai injection manufacturing plant of SZYY Ltd as a user case, we analyzed the quality risk with both static FMEA analysis and dynamic Bayesian Network analysis. The potential risk factors for the quality of Shengmai injection manufacturing were identified with the network analysis platform. Quality assurance actions were further defined to reduce the risk and improve the product quality.

Network analysis of ethanol precipitation process for Schisandrae chinensis fructus / 中国中药杂志

A set of central composite design experiments were designed by using four factors which were ethanol amount, ethanol concentration, refrigeration temperature and refrigeration time. The relation between these factors with the target variables of the retention rate of schizandrol A, the soluble solids content, the removal rate of fructose and the removal rate of glucose were analyzed with Bayesian networks, and ethanol amount and ethanol concentration were found as the critical process parameters. Then a network model was built with 2 inputs and 4 outputs using back propagation artificial neural networks which was optimized by genetic algorithms. The R2 and MSE from the training set were 0.983 8 and 0.001 1. The R2 and MSE from the test set were 0.975 9 and 0.001 8. The results showed that network analysis method could be used for modeling of Schisandrae Chinensis Fructus ethanol precipitation process and identify critical operating parameters.

Multi-objective optimization of extraction process for red ginseng based upon extraction efficiency and cost control / 中国中药杂志

It is the objective of this study to optimize the extraction process of red ginseng to minimize the unit cost of extracting effective ingredients. The relation between the target variables of total quantity of ginsenosides and first extraction time, first extraction solution amount, second extraction time, second extract solution amount were studied with Box-Behnken experimental design method. At the same we also considered the cost of extraction solution and energy usage. The objective function was set as unit cost of target (total quantity of ginsenosides or its purity) for the multi-objective optimization of extraction process. As a result, the optimal process parameters were found as first extraction time (108.7 min), first extraction solution amount folds (12), second extraction time (30 min), second extraction solution amount folds (8) to minimize the unit cost. It indicated that this approach could potentially be used to optimize industrial extraction process for manufacturing Chinese medicine.

Identification of phenylpropanoids in ciwujia injection by HPLC-MS / 中国中药杂志

There are reports about the chemical compounds of Ciwujia herbs, but with no study report about the chemical material basis of Ciwujia injection (CWJI). In this study, LC-MS(n) and LC-Q-TOF-MS techniques were adopted for a qualitative analysis on phenylpropanoids in CWJI. The Ultmate XB-C18 column (4.6 mm x 250 mm, 5 microm) was adopted and eluted with the mobile phase of 0.5% formic acid-water and acetonitrile, with the flow rate at 0.8 mL x min(-1) and the column temperature at 20 degrees C. Based on the data of high-resolution and multi-stage MS, control products and literatures, altogether 54 phenylpropanoids were identified in Ciwujia Injection, including 34 phenylpropanoids, 16 ligans and 4 coumarins. Among them, 28 were reported for the first time in Ciwujia, and 14 compound structures were identified in comparison with the control products. The method established in this study could be used to simply and rapidly identify phenylpropanoids in CWJI. The findings provide scientific data for defining the chemical material basis of CWJI.

Study on PK-PD characteristics of ginsenoside Rg1 and Rb1, in rats with myocardial ischemia following intravenous administration of shengmai injection / 中国中药杂志

It is the objective of this paper to study pharmacokinetics-pharmacodynamics (PK-PD) characteristics of ginsenoside Rg1 and Rb1 on the effect of inducing nitric oxide (NO) release after intravenous administration of Shengmai injection to rats with myocardial ischemia. The model of myocardial ischemia rats was produced by subcutaneous injection of isoproterenol. The serum samples were collected at different time points after intravenous administration of Shengmai injection to rats with the dose of 10.8 mL x kg(-1). The concentrations of ginsenoside Rg1 and Rb1 in serum were determined, and then the concentration-time curves were drawn. Pharmacokinetic parameters of ginsenoside Rg1 and Rb1 were calculated after the construction of pharmacokinetic models. Meanwhile, NO2- and NO3-, the metabolites of NO, in serum were determined, and then the effect-time curve was drawn. The combined PK-PD model was established based on the theory of effect compartment by Sheiner et al. Then pharmacodynamic parameters were calculated. The results indicated that the pharmacokinetics of ginsenoside Rg1 and Rb1 conformed to a two-compartment model. Ginsenoside Rg1 and Rb1 exhibited quick and slow elimination in rats respectively. The effect of Shengmai injection on inducing NO release did not relate directly with and lagged behind the concentrations of ginsenoside Rg1 and Rb1 in serum. The effect exhibited good correlation with ginsenoside Rg1 and Rb1 levels in effect compartment. The relationship between effect and serum concentration fits Sigmoid-E(max) model. This study successfully established the combined PK-PD model of ginsenoside Rg1 and Rb1 after intravenous administration of Shengmai injection to rats. The model can efficiently predict the concentration and effect of Shengmai injection in vivo.

Network pharmacology study of mechanism on xuesaitong injection against retinal vein occlusion / 中国中药杂志

Retinal vein occlusion (RVO) is a common clinical disease causing vision loss. Risk factors such as diabetes, atherosclerosis are closely associated with RVO. Xuesaitong injection is used extensively in clinical treatment of RVO, however the mechanism is still unclear. In this study, we investigated the protective effect of Xuesaitong injection on RVO rat model. Using a compound-target network of Xuesaitong on anti-RVO constructed by literature mining, we aim to elucidate the multi-compound, multi-target effect of Xuesaitong injection. Fifteen potential targets of Xuesaitong injection associated with inflammation, angiogenesis, apoptosis, and coagulation were identified in this study. VEGF, IL-1beta and IL-6, three important targets in the compound-target network were further experimentally validated. This study provided experimental evidence for Xuesaitong injection being effective in treating RVO and a network view on its anti-RVO mode of action through a multi-compound and multiple-target mechanism.

Dynamic predictive modeling of extraction process for red ginseng using near-infrared spectroscopy / 中国中药杂志

It is the objective of this study to develop dynamic predictive model for the extraction process of red Ginseng using NIR spectroscopy. NIR spectroscopy was collected online and PLSR models were developed for total quantity of ginsenosides. The performance of NIR prediction model achieved R, RMSEC, RMSEP of 0.996 09, 0.018 9, 0.016 8, respectively. A first order dynamic mass transfer model was combined with NIR prediction of the quality indicator to predict the trajectory of the extraction process based upon the initial 3 or 4 data points. The results showed good agreement with actual measurements indicating reasonable accuracy of the predictive model. It could potentially be used for advanced predictive control of the extraction process.

Data integration, data mining and visualization analysis of traditional Chinese medicine manufacturing process / 中国中药杂志

Huge amount of data becomes available from the pharmaceutical manufacturing process with wide application of in- dustrial automatic control technology in traditional Chinese medicine (TCM) industry. The industrial big data thus provides golden op- portunities to better understand the manufacturing process and improve the process performance. Therefore it is important to implement data integration and management systems in TCM plants to easily collect, integrate, store, analyze, communicate and visulize the data with high efficiency. It could break the data island and discover useful information and knowledge to improve the manufacturing process performance. The key supporting technologies for TCM manufacturing and industrial big data management were introduced in this paper, with a specific focus on data mining and visualization technologies. Using historic data collected from a manufacturing plant of Shengmai injection of SZYY group, we illustrated the usefulness and discussed future prospects of data mining and visualization technologies.