[Theoretical innovation of component-based Chinese medicine and its exemplary practice: the study on creating Guanxinning Tablets].

Upholding the wisdom of traditional Chinese medicine that the therapeutic principle, method, formula and medicine are coherent with each other, we propose the technical methodology for intelligent creation of component-based Chinese medicine by integrating multidisciplinary knowledge such as artificial intelligence, pharmaceutical informatics, system pharmacology and phytochemistry. Taking the creation of Guanxinning Tablets as an example, we expound the technical principle for creating component-based Chinese medicine and briefly describe the design method for optimizing the entity of Chinese medicine efficacy by rational combination of active components. Our research sought to "clarify and explain" the mechanism of its clinical treatment action through multi-modal and multi-scale systematic pharmacology studies. This work emphatically demonstrates the pilot workshop and engineering validation platform based on the intelligent simulation of whole production process, and outlines the design principles of the intelligent production line for innovative Chinese medicine. The results of industrial research show that the ourself established method for evaluating the process quality controllability and intelligent production line can be applied to manufacturing Guanxining Tablets with high quality. Through the innovative research of multidisciplinary cross-border integration, the present work explored a new way for the creation of modern Chinese medicine.

[Mechanism of Xuanfei Baidu Tang in treatment of COVID-19 based on network pharmacology].

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.

[Intelligent and lean manufacturing for Chinese medicine:theory and its applications].

To cope with the " six major scientific problems" and the " five major technical challenges" of intelligent manufacturing and lean production of Chinese medicine( CM),we systematically proposed strategies,methods and the engineering theory of intelligent and lean manufacturing for CM by integrating the holistic view of traditional Chinese medicine and the concepts inspired from international advanced pharmaceutical technology. Moreover,the translational research of the theory and methods was successfully applied to six CMs such as Xuesaitong Injection. Several intelligent production lines were designed and built on the basis of the theory and methods,which greatly accelerated the digitalization,networking,and intelligence manufacture for CM. As a conclusion,the theory and applications provide technical demonstration for technical upgrading and high-quality development of CM industry.

[Studies on the methodology for quality control in Chinese medicine manufacturing process based on knowledge graph].

According to the requirements for developing the quality control technology in Chinese medicine( CM) manufacturing process and the practical scenarios in applying a new generation of artificial intelligence to CM industry,we present a method of constructing the knowledge graph( KG) for CM manufacture to solve key problems about quality control in CM manufacturing process.Based on the above,a " pharmaceutical industry brain" model for CM manufacture has been established. Further,we propose founding the KG-based methodology for quality control in CM manufacturing process,and briefly describe the design method,system architecture and main functions of the KG system. In this work,the KG for manufacturing Shuxuening Injection( SXNI) was developed as a demonstration study. The KG version 1. 0 platform for intelligent manufacturing SXNI has been built,which could realize technology leap of the quality control system in CM manufacturing process from perceptual intelligence to cognitive intelligence.

A multiple biomarker assay for quality assessment of botanical drugs using a versatile microfluidic chip.

Quality control is critical for ensuring the safety and effectiveness of drugs. Current quality control method for botanical drugs is mainly based on chemical testing. However, chemical testing alone may not be sufficient as it may not capture all constituents of botanical drugs. Therefore, it is necessary to establish a bioassay correlating with the drug's known mechanism of action to ensure its potency and activity. Herein we developed a multiple biomarker assay to assess the quality of botanicals using microfluidics, where enzyme inhibition was employed to indicate the drug's activity and thereby evaluate biological consistency. This approach was exemplified on QiShenYiQi Pills using thrombin and angiotensin converting enzyme as "quality biomarkers". Our results demonstrated that there existed variations in potency across different batches of the intermediates and preparations. Compared with chromatographic fingerprinting, the bioassay provided better discrimination ability for some abnormal samples. Moreover, the chip could function as "affinity chromatography" to identify bioactive phytochemicals bound to the enzymes. This work proposed a multiple-biomarker strategy for quality assessment of botanical drugs, while demonstrating for the first time the feasibility of microfluidics in this field.

[A strategy of constructing the technological system for quality control of Chinese medicine based on process control and management].

The current situation, bottleneck problems and severe challenges in quality control technology of Chinese Medicine (CM) are briefly described. It is presented to change the phenomenon related to the post-test as the main means and contempt for process control in drug regulation, reverse the situation of neglecting the development of process control and management technology for pharmaceutical manufacture and reconstruct the technological system for quality control of CM products. The regulation and technology system based on process control and management for controlling CM quality should be established to solve weighty realistic problems of CM industry from the root causes, including backwardness of quality control technology, weakness of quality risk control measures, poor reputation of product quality and so on. By this way, the obstacles from poor controllability of CM product quality could be broken. Concentrating on those difficult problems and weak links in the technical field of CM quality control, it is proposed to build CMC (Chemistry, Manufacturing and Controls) regulation for CM products with Chinese characteristics and promote the regulation international recognition as soon as possible. The CMC technical framework, which is clinical efficacy-oriented, manufacturing manner-centered and process control-focused, was designed. To address the clinical characteristics of traditional Chinese medicine (TCM) and the production feature of CM manufacture, it is suggested to establish quality control engineering for CM manufacturing by integrating pharmaceutical analysis, TCM chemistry, TCM pharmacology, pharmaceutical engineering, control engineering, management engineering and other disciplines. Further, a theoretical model of quality control engineering for CM manufacturing and the methodology of digital pharmaceutical engineering are proposed. A technology pathway for promoting CM standard and realizing the strategic goal of CM internationalization is elaborated.

[Chinese medicine industry 4.0：advancing digital pharmaceutical manufacture toward intelligent pharmaceutical manufacture].

A perspective analysis on the technological innovation in pharmaceutical engineering of Chinese medicine unveils a vision on "Future Factory" of Chinese medicine industry in mind. The strategy as well as the technical roadmap of "Chinese medicine industry 4.0" is proposed, with the projection of related core technology system. It is clarified that the technical development path of Chinese medicine industry from digital manufacture to intelligent manufacture. On the basis of precisely defining technical terms such as process control, on-line detection and process quality monitoring for Chinese medicine manufacture, the technical concepts and characteristics of intelligent pharmaceutical manufacture as well as digital pharmaceutical manufacture are elaborated. Promoting wide applications of digital manufacturing technology of Chinese medicine is strongly recommended. Through completely informationized manufacturing processes and multi-discipline cluster innovation, intelligent manufacturing technology of Chinese medicine should be developed, which would provide a new driving force for Chinese medicine industry in technology upgrade, product quality enhancement and efficiency improvement.

Dissecting functional chemome of Xiaoqinglong decoction analogous formulae using network formulaology approach.

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.

Deciphering the therapeutic mechanisms of Xiao-Ke-An in treatment of type 2 diabetes in mice by a Fangjiomics approach.

AIM: Xiao-Ke-An (XKA) is a traditional Chinese medicine (TCM) formula for the treatment of type 2 diabetes (T2D), and the effective ingredients and their targets as well as the mechanisms of XKA remain to be elucidated. In this study we investigated the therapeutic mechanisms of XKA in the treatment of T2D in mice using a Fangjiomics approach. METHODS: KKAy mice feeding on a high-fat diet were used as models of T2D, and were orally treated with XKA (0.75 or 1.5 g · kg(-1) · d(-1)) for 32 d. Microarray mRNA expression data were obtained from the livers of the mice. Differentially expressed genes (DEGs) were identified by reverse rate analysis and ANOVA analysis. The compounds in XKA were identified by LC-MS analysis or collected from TCM databases. The relationships between the compounds and targets were established by combining the DEGs with information derived from mining literature or herb target databases. Relevant pathways were identified through a Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis using WebGestalt. RESULTS: The compound-target-pathway network based on compounds identified by LC-MS analysis (NCA) included 20 constituent compounds, 46 targets and 36 T2D-related pathways, whereas the compound-target-pathway network based on compounds collected from databases (NCD) consisted of 40 compounds, 68 targets and 21 pathways. In the treatment of T2D, XKA might act mainly by improving carbohydrate and lipid metabolism, as well as ameliorating insulin resistance, inflammation and diabetic vascular complications. CONCLUSION: The network-based approach reveals complex therapeutic mechanisms of XKA in the treatment of T2D in mice that involve numerous compounds, targets, and signaling pathways.

[Network formulaology: a new strategy for modern research of traditional Chinese medicine formulae].

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.

[The technological innovation strategy for quality control of Chinese medicine based on Big Data].

The evolution of the quality control concepts of medical products within the global context and the development of the quality control technology of Chinese medicine are briefly described. Aimed at the bottlenecks in the regulation and quality control of Chinese medicine, using Big Data technology to address the significant challenges in Chinese medicine industry is proposed. For quality standard refinements and internationalization of Chinese medicine, a technological innovation strategy encompassing its methodology, and the R&D direction of the subsequent core technology are also presented.

Tissue distribution and excretion of herbal components after intravenous administration of a Chinese medicine (Shengmai injection) in rat.

Shengmai injection, consisting of Panax ginseng, Radix ophiopogonis and Schisandra chinensis, is a widely used Chinese medicine for the treatment of various cardiovascular diseases. In this study, tissue distribution and excretion of its multiple active components including protopanaxatriol-type (Ppt-type) ginsenosides (ginsenoside Rg1, Re, Rf and Rg2), protopanaxadiol-type (Ppd-type) ginsenosides (ginsenoside Rb1, Rd and Rc), ophiopogonin (ophiopogonin D), and lignan (schisandrin, schisandrol B and schizandrin B) in rat after single intravenous administration of Shengmai injection were reported. Ppt-type ginsenosides exhibited quick and wide distribution from blood into tissues and were eliminated rapidly through biliary, urinary and fecal excretions. Ppd-type ginsenosides Rb1, Rd and Rc distributed quickly from blood to all tissues but exhibited slow elimination by biliary and urinary excretions. Ophiopogonin D was excreted into bile with no urinary and fecal excretion, indicating its elimination in the form of secondary metabolites. Schisandrin, schisandrol B and schizandrin B was found to distribute quickly from blood into most tissues and had accumulation in these tissues. Very low biliary, urinary and fecal excretion implied that lignan was mainly excreted in the form of their metabolites. This study produced a first hand in vivo tissue distribution and dynamic profiles of the active components of Shengmai injection, providing valuable information for drug development and clinical application of Shengmai injection.

[Innovation guidelines and strategies for pharmaceutical engineering of Chinese medicine and their industrial translation].

This paper briefly analyzes the bottlenecks and major technical requirements for pharmaceutical industry of Chinese medicine, providing current status of pharmaceutical engineering of Chinese medicine. The innovation directions and strategies of the pharmaceutical engineering for manufacturing Chinese medicine are proposed along with the framework of their core technology. As a consequence, the development of the third-generation pharmaceutical technology for Chinese medicine, featured as "precision, digital and intelligent", is recommended. The prospects of the pharmaceutical technology are also forecasted.

Outcome-dependent global similarity analysis of imbalanced core signaling pathways in ischemic mouse hippocampus.

Analysis of the diverse interactions of multiple signaling pathways is an emerging challenge in the era of networking pharmacology. To reveal imbalanced signaling pathways and pharmacological mechanisms involved in ischemic process, we designed systemic experiments from top-down to bottom-up for investigating the variations of multiple pathways in mouse hippocampal cells. A total of 711 focal cerebral ischemia-reperfused animals (504 mice and 207 rats), induced by occlusion of the middle cerebral artery, were obtained to conduct 4 experiments. The mice were used to analyze the pharmacological effects of four single compounds, baicalin (BA), jasminoidin (JA), ursodeoxycholic acid (UA) and concha margaritifera (CM) and two combination therapies (BA+JA, and JA+UA). Moreover, the mouse models were also used for microarray and western blotting test. The rat models were used for infarction volume test, magnetic resonance imaging (MRI) test and neurological score analysis to validate the pharmacological effects in another species. The results of western blotting confirmed that the expression of the key proteins involved in the ischemiaactivated Wnt and nuclear factor κB (NF-κB) pathway was markedly altered. In addition, based on the screened gene expression profiles of ischemia hippocampus, a variety of altered genes contributed to the 9 stroke-related pathways based on literature review [Wnt, extracellular signal-regulated kinase (ERK), janus kinase (JAK), mitogen-activated protein kinase (MAPK), gonadotropin-releasing hormone (GnRH), calcium/calmodulin-dependent protein kinase (CaMK), vascular endothelial growth factor (VEGF), epidermal growth factor (EGF), and platelet-derived growth factor (PDGF)] in different groups. Thus, we believed that the 9 signaling pathways were significantly imbalanced in different groups. However, analysis of overlapping genes was insufficient to reveal the expression profiles of imbalanced pathways between or within various conditions treated with different compounds or compound mixtures. Therefore, global similarity index (GSI) is introduced to quantify the genotypic outcomes of gene expression profiles. Independent experiments in mice on the effects of infarction volume, neurologic deficit score and the results of MRI in rats showed that GSI was suitable for the spectral measurement of imbalance in those 9 biochemical pathways with a predictive accuracy of 81.0% as assessed by leave-one-out cross-validation.

Two new compounds from Senecio cannabifolius.

Chemical investigation of the water extracts from the Senecio cannabifolius Less. led us to find two new compounds (1 and 2), along with 12 known compounds (3-14). The two new compounds were determined as (E, 4R)-4-hydroxy-4,5,5-trimethyl-3-(3-oxobut-1-enyl)cyclohex-2-enone (1) and (E)-4-((1S, 3R, 4R)-1-hydroxy-4,5,5-trimethyl-7-oxabicyclo[4.1.0]heptan-1-yl)but-1-en-3-o-ne (2), respectively. The structures of other compounds were elucidated by extensive analysis of spectral data and in comparison with the literature values. Compounds 1 and 2 were evaluated for inhibitory activity against lipopolysaccharide-induced NO production in RAW 264.7 macrophages, and compound 1 showed potent inhibitory activity with IC(50) value of 30.65 µM.

[Content of indole alkaloids and bufadienolides contained in toad medicines].

OBJECTIVE: To kinds of establish a HPLC method for determining contents of indole alkaloids and bufadienolides contained in toad medicines, and analyze two kinds of components contained in toad venom, toad skin and toad periostracum. METHOD: As for alkaloids, Nucleosil C18 column was adopted with acetonitrile and water containing 0.5% potassium dihydrogen phosphate (6: 94, adjust pH to 3.2 with phosphate acid) as the mobile phase. The flow rate was 0.8 mL x min(-1), the detection wavelength was 275 nm, and the column temperature was 30 degrees C. As for bufadienolides, Alltima C18 column was adopted with acetonitrile and water containing 0.3% acetic acid (B) as the mobile phase. The gradient process was as follows: a linear gradient from 28% to 54% acetonitrile in the first 15 min, then kept at 54% for additional 20 min. The flow rate was 0.6 mL x min(-1), the detection wavelength was 296 nm, and the column temperature was 30 degrees C. RESULT: The linear ranges were 0.079 6-0.796 microg for serotonin, 0.097 2-1.945 microg for N-methylserotonin, 0.074 4-0.744 microg for N,N-dimethylserotonin, 0.103-2.05 microg for N,N,N-trimethylserotonin, and 0.067 2-0.672 microg for bufothionine, respectively. The average recoveries of serotonin and N-methylserotonin were 98.6% and 91.3%, respectively. The linear ranges of gamabufotalin, bufotalin, bufalin, cinobufagin and resibufogenin were 0.004 83-0.614, 0.007 9-1.006, 0.007 95-1.016, 0.009 7-1.24 and 0.009 6-1.22 microg, respectively, and their average recoveries were 101.6%, 102.5%, 101.0%, 99.1% and 98.9%, respectively. CONCLUSION: Toad venom has the highest contents of indole alkaloids and bufadienolides, followed by toad skin, and toad periostracum showed the lowest contents and even no detection result.

[Chemical constituents of Ardisia punctata].

OBJECTIVE: To study chemical constituents of Ardisia punctata,in order to find pioneering compounds. METHOD: 95% ethanol extracts of A. punctata was separated and purified by using normal phase silica gel column chromatographies, Sephadex LH-20 gel column chromatography and high-pressure preparative HPLC,and their structures were identified by such spectroscopic techniques as NMR and MS. RESULT: Eight compounds were separated from 95% ethanol extract of A. punctata and identified as 6-methoxy-8-hydroxy-benzoic acid butylester-5-O-beta-D-glucoside (1), aridisiacrispin B (2), ardisicrenoside A (3), dibutyl phthalate (4), bergenin (5), quercetin-3-O-alpha-L-rhamnoside (6),3-methoxy-4-acetoxy-6-tridecyl-phenol(7) and belamcandaquinone C(8). CONCLUSION: Compound 1 was a new compound, and compounds 4 and 6 were separated from this plant for the first time.

Ultra-high performance liquid chromatography-mass spectrometry for the metabolomic analysis of urine in colorectal cancer.

We report here the results of a pilot study in which ultra-high performance liquid chromatography/time-of- flight-mass spectrometry (UPLC/TOF-MS) and multivariate statistical analysis (supervised partial least squares discriminant analysis, PLS-DA) were applied for urinary metabolite profiling and data interpretation. The results of the PLS-DA indicated that the metabolic pattern as a whole was significantly different between the groups of preoperative colorectal cancer (CRC) patients, postoperative CRC patients, and healthy volunteers, respectively. The preoperative group of patients showed significantly increased levels of low-molecular weight compounds (LMC) MW 283 and MW 234 in comparison to the group of healthy volunteers group. After the operation, the levels of these two LMC significantly decreased. These preliminary results suggest that the UPLC-MS-based method coupled with pattern recognition will likely lead to procedures with the potential to be clinically applicable for the diagnosis of CRC and, consequently, to an improvement in patient prognosis.

Two new monoterpene glucosides from Paeonia lactiflora Pall.

Two new monoterpene glucosides, 4'-O-benzoylpaeoniflorin (1) and 4-O-galloylalbiflorin (2), were isolated from the 60% ethanol extract of the dried roots of Paeonia lactiflora Pall. Their structures were established on the basis of spectroscopic data.