[Interaction between central nervous system and immune system after ischemic stroke and its therapeutic significance of traditional Chinese medicine].

Ischemic stroke is divided into acute phase, subacute phase, and recovery phase, with different pathological and physiological characteristics manifested at each stage. Among them, immune and inflammatory reactions persist for several days and weeks after ischemia. Ischemic stroke not only triggers local inflammation in damaged brain regions but also induces a disorder in the immune system, thereby promoting neuroinflammation and exacerbating brain damage. Therefore, conducting an in-depth analysis of the interaction between the central nervous system and the immune system after ischemic stroke, intervening in the main factors of the interaction between them, blocking pathological cascades, and thereby reducing brain inflammation have become the treatment strategies for ischemic stroke. This study summarizes and sorts out the interaction pathways between the central nervous system and the immune system. The impact of the central nervous system on the immune system can be analyzed from the perspective of the autonomic nervous system, the hypothalamic-pituitary-adrenal axis(HPA), and local inflammatory stimulation. The impact of the immune system on the central nervous system can be analyzed from the dynamic changes of immune cells. At the same time, the relevant progress in the prevention and treatment of traditional Chinese medicine(TCM) is summarized, so as to provide new insights for the analysis of complex mechanisms of TCM in preventing and treating ischemic stroke.

Angelica Sinensis Polysaccharide Suppresses the Aging of Hematopoietic Stem Cells Through Sirt1/FoxO1 Signaling.

BACKGROUND: This study investigated the anti-aging effects of Angelica sinensis polysaccharide (ASP) on mouse hematopoietic stem cells (HSCs) and related mechanisms. METHODS: Seventy-two C57BL/6J mice were randomly divided into the following three groups (n = 24 per group): control group; aging group, in which mice were irradiated with X-ray uniformly to establish the aging model of HSCs; and ASP group, in which mice were given 200 mg/kg ASP during irradiation. HSCs were collected by immunomagnetic beads, transmission electron microscopy was used to examine the morphological changes in HSCs, SA-ß-Gal staining was used to detect the aging cells, immunofluorescence staining was used to detect the reactive oxygen species (ROS), and western blotting was used to evaluate the expression levels of sirtuin 1 (Sirt1) and forkhead box O1 (FoxO1). RESULTS: HSCs in the control group had an intact cytoplasmic structure and many mitochondria. In the aging group, HSCs had many vacuoles in the cytoplasm, and few and irregular mitochondria. In the ASP group, HSCs had a normal cytoplasmic structure and more mitochondria compared with the aging group. The aging group had a significantly higher positive rate of HSCs SA-ß-Gal staining and ROS production than the control group (p < 0.05), but had lower expression of Sirt1 and FoxO1 (p < 0.05). These patho(physio)logical changes were ameliorated by ASP treatment (all p < 0.05). CONCLUSIONS: ASP inhibits irradiation-induced oxidative stress and aging of HSCs at least in part by regulating the Sirt1/FoxO1 pathway, thereby delaying aging of HSCs in mice.

2D nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification.

An integrated custom cross-response sensing array has been developed combining the algorithm module's visible machine learning approach for rapid and accurate pathogenic microbial taxonomic identification. The diversified cross-response sensing array consists of two-dimensional nanomaterial (2D-n) with fluorescently labeled single-stranded DNA (ssDNA) as sensing elements to extract a set of differential response profiles for each pathogenic microorganism. By altering the 2D-n and different ssDNA with different sequences, we can form multiple sensing elements. While interacting with microorganisms, the competition between ssDNA and 2D-n leads to the release of ssDNA from 2D-n. The signals are generated from binding force driven by the exfoliation of either ssDNA or 2D-n from the microorganisms. Thus, the signal is distinguished from different ssDNA and 2D-n combinations, differentiating the extracted information and visualizing the recognition process. Fluorescent signals collected from each sensing element at the wavelength around 520 nm are applied to generate a fingerprint. As a proof of concept, we demonstrate that a six-sensing array enables rapid and accurate pathogenic microbial taxonomic identification, including the drug-resistant microorganisms, under a data size of n = 288. We precisely identify microbial with an overall accuracy of 97.9%, which overcomes the big data dependence for identifying recurrent patterns in conventional methods. For each microorganism, the detection concentration is 105 ~ 108 CFU/mL for Escherichia coli, 102 ~ 107 CFU/mL for E. coli-ß, 103 ~ 108 CFU/mL for Staphylococcus aureus, 103 ~ 107 CFU/mL for MRSA, 102 ~ 108 CFU/mL for Pseudomonas aeruginosa, 103 ~ 108 CFU/mL for Enterococcus faecalis, 102 ~ 108 CFU/mL for Klebsiella pneumoniae, and 103 ~ 108 CFU/mL for Candida albicans. Combining the visible machine learning approach, this sensing array provides strategies for precision pathogenic microbial taxonomic identification. • A molecular response differential profiling (MRDP) was established based on custom cross-response sensor array for rapid and accurate recognition and phenotyping common pathogenic microorganism. • Differential response profiling of pathogenic microorganism is derived from the competitive response capacity of 6 sensing elements of the sensor array. Each of these sensing elements' performance has competitive reaction with the microorganism. • MRDP was applied to LDA algorithm and resulted in the classification of 8 microorganisms.

[Core prescriptions in treatment of edema by traditional Chinese medicine masters and mechanism prediction].

The core prescriptions and formulation characteristics in the treatment of edema by traditional Chinese medicine(TCM) masters were analyzed through data mining and their mechanisms were explored by network pharmacology. We collected journal reports on the treatment of edema by TCM masters in three sessions from China National Knowledge Infrastructure(CNKI) and constructed a database by Traditional Chinese Medicine Inheritance Support System 3.0. The prescriptions in the case studies were analyzed by association rules and k-means clustering. The chemical components and targets of Chinese medicines in core prescriptions were collected through TCMSP and TCMID. Edema-related targets were collected from DrugBank and GeneCards. The protein-protein interaction(PPI) network was constructed by STRING and the core targets were screened out. FunRich 3.1.3 was used to enrich the expression sites of core prescriptions. Metascape was used to perform Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis of intersection targets. Cytoscape 3.6.0 was used to visualize the "Chinese medicine-active ingredient-core target-pathway" network. The results showed that 315 pieces of medical records in the treatment of edema by TCM masters were obtained and five core prescriptions were analyzed by association rules and k-means clustering. Core prescription 1 contained Poria, Atractylodis Macrocephalae Rhizoma, Astragali Radix, Alismatis Rhizoma, Glycyrrhizae Radix et Rhizoma, and Codonopsis Radix, involving 166 chemical components and 1 125 targets. Core prescription 2 contained Astragali Radix, Salviae Miltiorrhizae Radix et Rhizoma, Poria, Chuanxiong Rhizoma, Paeoniae Radix Rubra, and Angelicae Sinensis Radix, involving 138 chemical components and 1 112 targets. Core prescription 3 contained Poria, Salviae Miltiorrhizae Radix et Rhizoma, Astragali Radix, Atractylodis Macrocephalae Rhizoma, Alismatis Rhizoma, and Coicis Semen, involving 126 chemical components and 1 121 targets. Core prescription 4 contained Poria, Forsythiae Fructus, Atractylodis Macrocephalae Rhizoma, Imperatae Rhizoma, Cicadae Periostracum, and Coicis Semen, involving 58 chemical components and 820 targets. Core prescription 5 contained Poria, Atractylodis Macrocephalae Rhizoma, Astragali Radix, Alismatis Rhizoma, Trionycis Carapax, and Dioscoreae Rhizoma, involving 68 chemical components and 919 targets. The core targets of core prescriptions included AKT1, ALB, CASP3, MAPK3, EGFR, SRC, MAPK1, and TNF. The potential targets of core prescriptions in the treatment were highly expressed in the stomach, bladder, lung, and kidney. KEGG pathways were enriched in inflammation and cell cycle pathways, especially the inflammation-relation pathways. The therapeutic effect of core prescriptions on edema is presumedly achieved by tonifying the spleen, draining water, activating blood, and benefiting Qi to resist inflammation and regulate the immune system. This study is expected to provide references for the summary of TCM masters' experience and new drug development.

[Formation and development of "Xiang thinking" in traditional Chinese medicine].

"Xiang thinking" is the main thinking mode in traditional Chinese medicine(TCM) with both philosophical and scientific connotations, and has an important influence on the emergence and development of TCM. This study systematically expounded the philosophical connotation and characteristics of "Xiang thinking", and its application in the construction of TCM theory, clinical syndrome differentiation and treatment, the formation of medicinal properties, and interpretation of efficacy of Chinese medicine. "Xiang thinking" in TCM develops and changes continuously with practical application, and its historical evolution can be summarized into three stages, i.e., "Ying Xiang(corresponding to Xiang)" "Fa Xiang(following Xiang)", and "Bian Xiang(differentiating Xiang)". The understanding of Xiang is based on the means and methods of human observation of things and the backgrounds of the philosophy, science, and development. The result of comparison depends on the depth and breadth of Xiang. In the real world, Xiang is showing new construction characteristics with multiple dimensions and levels. Therefore, this study proposed the thinking of "Bian Xiang", which is expected to provide a thinking approach that can realize the transformation from "Xiang thinking" to scientific research for the exploration and innovative research on life origin in the field of contemporary and TCM.

[Establishment and application of quality evaluation method for Xiaochaihu Granules based on calibrator samples].

With reference to the production process documented in Chinese Pharmacopoeia, this paper prepared the calibrator samples of Xiaochaihu Granules from multiple batches and established a method for fingerprint analysis and content determination that could be used to evaluate Xiaochaihu Granules available in market. Multiple batches of Chinese herbal pieces contained in Xiaochaihu Granules were collected for preparing the calibrator samples according to the process in Chinese Pharmacopoeia. Following the establishment of fingerprints for calibrator samples by UHPLC, the method for determining the contents of saikosaponin B2, saikosaponin B1, baicalin, wogonoside, baicalein, liquiritin, glycyrrhizin G2 and glycyrrhizic acid in Xiaochaihu Granules was established. The experimental results showed that the fingerprints of calibrator samples had 26 common peaks, covering the chemical compounds of main herbs Bupleuri Radix, Scutellariae Radix, Changii Radix, Glycyrrhizae Radix et Rhizoma, and Rhizoma Zingiberis Recens. The similarity of fingerprints for 47 batches of Xiaochaihu Granules from 31 companies with the calibrator sample fingerprint ranged from 0.74 to 0.99, indicating good applicability of the established fingerprint. The contents of main components baicalin, saikosaponin B2, and glycyrrhizic acid in Xiaochaihu Granules were within the ranges of 22.917-49.108 mg per bag(RSD 19%), 0.28-2.19 mg per bag(RSD 62%), and 0.897-6.541 mg per bag(RSD 41%), respectively. The quality difference in saikosaponin B2, and glycyrrhizic acid among different manufacturers was significant. The fingerprint analysis and content determination method for calibrator samples of Xiaochaihu Granules prepared according to the production process in Chinese Pharmacopoeia has been proved suitable for evaluating the quality of Xiaochaihu Granules from different manufacturers. Saikosaponin B2, glycyrrhizic acid, and liquiritin should be added as content control indicators for Xiaochaihu Granules, aiming to further improve the product quality.

ETCM: an encyclopaedia of traditional Chinese medicine.

Traditional Chinese medicine (TCM) is not only an effective solution for primary health care, but also a great resource for drug innovation and discovery. To meet the increasing needs for TCM-related data resources, we developed ETCM, an Encyclopedia of Traditional Chinese Medicine. ETCM includes comprehensive and standardized information for the commonly used herbs and formulas of TCM, as well as their ingredients. The herb basic property and quality control standard, formula composition, ingredient drug-likeness, as well as many other information provided by ETCM can serve as a convenient resource for users to obtain thorough information about a herb or a formula. To facilitate functional and mechanistic studies of TCM, ETCM provides predicted target genes of TCM ingredients, herbs, and formulas, according to the chemical fingerprint similarity between TCM ingredients and known drugs. A systematic analysis function is also developed in ETCM, which allows users to explore the relationships or build networks among TCM herbs, formulas,ingredients, gene targets, and related pathways or diseases. ETCM is freely accessible at http://www.nrc.ac.cn:9090/ETCM/. We expect ETCM to develop into a major data warehouse for TCM and to promote TCM related researches and drug development in the future.

[Analysis of medication regularity of classical prescription in treatment of COPD based on multi-target efficacy evaluation system of Chinese medicine].

Effective drugs for chronic obstructive pulmonary disease(COPD), a complex chronic lung disease, have long been difficultly determined, while traditional Chinese medicine(TCM) has played a critical effect in the treatment of such disease. A new approach for the prediction based on data analysis by integrating TCM basic theories and modern science is urgently needed apart from clinical experiments. In this study, an efficacy evaluation system of COPD was established based on the multi-target efficacy evaluation system of Chinese medicine to analyze the medication regularity and characteristics, such as efficacies, properties, meridian tropism,and core combinations of Chinese medicines. The characteristics of classical prescriptions in the intervention of COPD were explored from modern pharmacology. The results showed that the Chinese medicines in the classical prescriptions in the treatment of COPD were dominated by heat-clearing, phlegm-resolving, dampness-dispelling, exterior-releasing, deficiency-tonifying, and interior-warming drugs. Among them, dampness-dispelling, interior-warming, and heat-clearing drugs resulted in higher perturbation efficiency in the disease network than some western medicines on the market, suggesting that these drugs possessed better efficacies in the treatment of COPD. In the classic prescriptions, warm-heat drugs were equivalent to cold-cool drugs in number, while the proportion of warm-heat drugs gradually raised with the increase in the perturbation efficiency. Additionally, core combinations in the classical prescriptions,such as heat-clearing/heat-clearing, dampness-dispelling/dampness-dispelling, and phlegm-resolving/heat-clearing, could achieve better efficacy for COPD. The present study preliminarily screened out the efficacies of Chinese medicines in the treatment of COPD based on scientific data through the multi-target efficacy evaluation system to explore the effect of Chinese medicine on COPD from modern pharmacology, explain the mechanism of TCM treatment of lung diseases, and provide references for the development of drugs targeting COPD.

[Efficacy and mechanism of new resource medicinal materia Moringa oleifera leaves against hyperlipidemia].

High fat diet induced hyperlipidemia hamster model was used to explore the anti-hyperlipidemia effect of water extract of Moringa oleifera leaves( WEMOL). On this basis,the possible action mechanism was predicted by network pharmacology. Golden hamsters were randomly divided into normal diet group( NFD),high-fat diet group( HFD),simvastatin group,high dose group of WEMOL( HIWEMOL) and low dose group of WEMOL( LOWEMOL). The model was administered simultaneously for 66 days,during which the body weight changes of hamsters were recorded. At the end of the experiment,serum lipid level and serum transaminase level of golden hamsters in each group were detected,and the pathological changes of liver were observed by hematoxylin-eosin( HE) staining. The results showed that WEMOL could significantly decrease the serum total cholesterol( TC),total triglyceride( TG),low density lipoprotein cholesterol( LDL-c) levels,and reduce the lipid deposition in liver tissue,thus improving the hyperlipidemia of golden hamsters. According to the prediction of network pharmacology,219 targets of potential active components of M.oleifera leaves and 185 targets of water-soluble potential active components of M. oleifera leaves for the treatment of hyperlipidemia were obtained separately. The MCODE analysis was performed on the PPI network of 219 targets and 185 targets obtained above and got five and four clusters respectively. The signaling pathway analysis of clusters showed that among the common pathways,nonalcoholic fatty liver,insulin resistance,MAPK signaling pathway,estrogen signaling pathway,cell apoptosis and HIF-1 signaling pathway were associated with hyperlipidemia. In addition,the potential active components of M. oleifera leaves could also inhibit the metabolic inflammation of hyperlipidemia by modulating complement and coagulation cascades signaling pathway,and GSK3 B,F2,AKT1,RELA,SERPINE1 might be the key targets. The water-soluble potential active components of M. oliefera leaves could modulate lipid metabolism by modulating AMPK signaling pathway and JAK-STAT signaling pathway,with PIK3 CB,PIK3 CA,CASP3,AKT1 and BCL2 as the key targets. These results suggested that WEMOL had anti hyperlipidemia effect,and its mechanism might be related to the protein expression regulation of lipid metabolism,nonalcoholic fatty liver disease and atherosclerosis related signaling pathways.

[Network pharmacology study of Yi medicine Jinweitai Capsules in treating gastrointestinal diseases].

The network pharmacology and molecular docking methods were used to explore the mechanism of Jinweitai Capsules in the treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis. The chemical components of herbs in Jinweitai Capsules were collected through TCMSP, CNKI and PubMed. Target prediction was performed through PubChem and SwissTargetPrediction databases; genes relating to acute and chronic gastritis, gastric and duodenal ulcers, chronic colitis were collected from OMIM database; potential targets of Jinweitai Capsules for relevant gastrointestinal diseases were obtained by Venny analysis; DAVID database was used to perform GO and KEGG enrichment analysis; protein interactions were obtained by STRING database and visua-lized by Cytoscape; AutoDockVina was used for molecular docking of AKT1, EGFR, PTPN11 and its reverse-selected chemical components. Potential mechanisms of Jinweitai Capsules in treating relevant gastrointestinal diseases were clarified according to the results of the docking. The results showed 86 potential active ingredients of Jinweitai Capsules and 268 potential targets for treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis. KEGG pathway enrichment analysis showed that 20 pathways relating to acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis mainly involved calcium signaling pathway and chemokine signaling pathway. Molecular docking showed a good binding activity between AKT1, EGFR, PTPN11 and its reverse screening chemical components. Jinweitai Capsules may exert an effect in the treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis by acting on AKT1, EGFR, PTPN11 and other targets in 15 signal pathways relating to cell inflammation and immunity, cell proliferation and apoptosis, Helicobacter pylori infection, and gastrointestinal tract.

[Construction of model for multidimensional evaluation of value and risk of Chinese patent medicine].

It is the core of the development for Chinese patent medicine enterprises to cultivate large varieties of Chinese patent medicine, and the selection of potential "seed" products is the prerequisite for the cultivation strategy. By constructing the evaluation model from multiple dimensions of value and risk, we can conduct specialized evaluation of Chinese patent medicines to effectively, professionally and objectively select the "seed" products with large variety cultivation potential. In this paper, the establishment of a multidimensional evaluation system would be discussed from the aspects of drug naming and prescription composition, safety risk and supply guarantee of raw materials and medicinal materials, competition situation, access to policy catalogue, scientific and technological support, clinical evidence and recognition, systematical and standardized collection of information on product instructions, quality standards, policy catalogue, scientific and technological literature, market competition and clinical application of Chinese patent medicines. Through the objective evaluation index and the range of objective index, the multi-dimensional evaluation model on values and risks of Chinese patent medicine products was discussed. Based on this model, a batch of Chinese patent medicine products can be quickly and comprehensively analyzed, and quantitative comparison can be formed among different types and fields of products. According to the evaluation results of the model and the comprehensive evaluation of experts, high-quality "seed" products can be selec-ted, laying a solid foundation for the next step of large variety cultivation. With use of this model, we can further clarify the external competitive advantages and internal priority levels of each product, and provide support for enterprises to optimize product structure and improve product strategic layout.

Enhanced thioredoxin, glutathione and Nrf2 antioxidant systems by safflower extract and aceglutamide attenuate cerebral ischaemia/reperfusion injury.

A large number of reactive oxygen species (ROS) aggravate cerebral damage after ischaemia/reperfusion (I/R). Glutathione (GSH), thioredoxin (Trx) and nuclear factor (erythroid-derived 2)-like 2 (Nrf2) represent three major antioxidant systems and play vital roles in affecting each other in eliminating ROS. Identification of drugs targeting triple antioxidant systems simultaneously is vital for inhibiting oxidative damage after cerebral I/R. This study investigated the protective effect of safflower extract and aceglutamide (SAAG) against cerebral I/R injury through modulating multiple antioxidant systems of GSH, Trx and Nrf2 and identified each role of its component acegluatminde (AG) and safflower extract (SA) on these systems. Safflower extract and aceglutamide and its two components decreased neurological deficit scores, infarction rate, apoptosis and oxidative damage after cerebral I/R while enhanced cell viability, decreased reactive oxygen species and nitric oxide level in H2 O2 -induced PC12 cell model. Importantly, compared to its two components, SAAG demonstrated more effective enhancement of GSH, Nrf2 and Trx systems and a better protection against cerebral I/R injury. The enhanced antioxidant systems prevented ASK1 activation and suppressed subsequent p38 and JNK cascade-mediated apoptosis. Moreover, inhibition of Trx and Nrf2 systems by auranofin and ML385 abolished SAAG-mediated protection, respectively. Thus, enhanced triple systems by SAAG played a better protective role than those by SA or AG via inhibition of ASK1 cascades. This research provided evidence for the necessity of combination drugs from the perspective of multiple antioxidant systems. Furthermore, it also offers references for the study of combination drugs and inspires novel treatments for ischaemic stroke.

Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example.

'Polypharmacology' is usually used to describe the network-wide effect of a single compound, but traditional Chinese medicine (TCM) has a polypharmacological effect naturally based on the 'multi-components, multi-targets and multi-pathways' principle. It is a challenge to investigate the polypharmacology mechanism of TCM with multiple components. In this study, we used XiaoErFuPi (XEFP) granules as an example to describe an unsupervised learning strategy for polypharmacology research of TCM and to explore the mechanism of XEFP polypharmacology against multifactorial disease function dyspepsia (FD). Unsupervised clustering of compounds based on similarity evaluation of cellular function fingerprints showed that compounds of TCM without similar targets and chemical structure could also exert similar therapeutic effects on the same disease, as different targets participate in the same pathway closely associated with the pathological process. In this study, we proposed an unsupervised machine learning strategy for exploring the polypharmacology-based mechanism of TCM, utilizing hierarchical clustering based on cellular functional similarity, to establish a connection from the chemical clustering module to cellular function. Meanwhile, FDA-approved drugs against FD were used as references for the mechanism of action (MoA) of FD. First, according to the compound-compound network built by the similarity of cellular function of XEFP compounds and FDA-approved FD drugs, the possible therapeutic function of TCM may represent a known mechanism of FDA-approved drugs. Then, as unsupervised learning, hierarchical clustering of TCM compounds based on cellular function fingerprint similarity could help to classify the compounds into several modules with similar therapeutic functions to investigate the polypharmacology effect of TCM. Furthermore, the integration of quantitative omics data of TCM and approved drugs (from LINCS datasets) provides more quantitative evidence for TCM therapeutic function consistency with approved drugs. A spasmolytic activity experiment was launched to confirm vanillic acid activity to repress smooth muscle contraction; vanillic acid was also predicted to be active compound of XEFP, supporting the accuracy of our strategy. In summary, the approach proposed in this study provides a new unsupervised learning strategy for polypharmacological research investigating TCM by establishing a connection between the compound functional module and drug-activated cellular processes shared with FDA-approved drugs, which may elucidate the unique mechanism of traditional medicine using FDA-approved drugs as references, facilitate the discovery of potential active compounds of TCM and provide new insights into complex diseases.

[Intervention mechanism of Qingwen Baidu Yin on cytokine storm based on network pharmacology].

The aim of this paper was to explore the intervention mechanism of Qingwen Baidu Yin in cytokine storm based on network pharmacology. TCMSP and TCMIP V2.0 server were used to predict all chemical components and action targets of Qingwen Baidu Yin. Diseases that could be treated by Qingwen Baidu Yin were predicted through Enrichr database. A compound target interaction(PPI) network diagram was constructed using STRING 11.0. OmicShare was used to analyzed the gene ontology(GO) enrichment and enrichment of the Kyoto encyclopedia of genes and genomes(KEGG) pathway of core targets. Component-target-path network diagram was constructed with Cytoscape 3.6.0 software. After analysis of the database, 267 compounds were screened for Qingwen Baidu Yin, involving 1 450 targets, and a protein interaction network was constructed. Total 219 core target proteins were predicted, such as NFKB1, STAT1, RAF1, IL2, JAK1, IL6, TNF, BCL2 and other important targets, and 221 core target pathways were enriched, including cancer pathway, Kaposi's sarcoma-associated herpes virus infection, chemokine signal pathway, PI3 K-AKT signal pathway, EB virus infection, virus carcinogenesis and T cell receptor signaling pathways, a collection of which were highly related to cytokine storms. GO annotation analysis suggested that Qingwen Baidu Yin Decoction may exert therapeutic effects by regulating protein phosphorylation, cell response to cytokine stimulation, cell proliferation, inflammatory response, transmembrane receptor protein tyrosine kinase signaling pathway, and cytokine-mediated signaling pathways. This study revealed potential active components of Qingwen Baidu Yin in defending against cytokine storm and its possible mechanism of action, and provided theoretical basis and technical support for further clinical application of this prescription.

[Treatment of COVID-19 guided by holistic view of traditional Chinese medicine--therapy aimed at both viral and host].

The global outbreak of coronavirus disease 2019(COVID-19) has further spread, and there is an increasing number of confirmed cases in many countries. On February 28, 2020 of Geneva time, the World Health Organization has raised global risk level to the very high level in view of outbreak of COVID-19. Since some patients' condition appeared to deteriorate rapidly after infection of this 2019 novel coronavirus(2019-nCoV), a variety of treatments should be considered. Holistic view and syndrome differentiation are the two characteristics of traditional Chinese medicine(TCM). Therefore, under the guidance of the holistic view, syndrome diffe-rentiation of TCM has achieved good effects in the treatment of COVID-19. This treatment mainly aimed at eliminating pathogens and strengthening overall health, regulating the balance of body and coordinating various of functions of Zangfu organs. In addition, modern medical proposes host-directed therapy(HDT), a strategy aims to interfere with host cell mechanism, enhance immune responses, and reduce exacerbated inflammation. To some extent, the combined application of HDT and antiviral therapy is highly consistent with the therapeutic concept of the holistic view of TCM. Therefore, under the guidance of the holistic view, syndrome differentiation of TCM uses treatments, such as clearing heat, detoxification, relieving asthma, clearing damp and phlegm, together with Lianhua Qingwen Capsules, Maxing Shigan Decoction, and Haoqin Qingdan Decoction under the guidance of these therapeutic methods. These therapeutic methods and prescriptions intervened with both virus and host at the same time in the treatment of COVID-19, which has important implications for the effective clinical treatment of COVID-19.

[Functional orientation of Moringa leaves based on text mining and molecular docking technology].

A new method on functional orientation of Moringa leaves based on text mining and molecular docking was explored in the study. First, PubMedplus was used to analyze research data on Moringa leaves collected in PubMed and the indications of Moringa leaves were screened along with the hotspots and development tendency of Moringa leaves. Second, Arrowsmith was used to obtain the biological targets of Moringa leaves. Third, active candidate components of Moringa leaves were filtered by SwissADME analyzing on chemical data collected from literatures. Subsequently, molecular docking between active candidate component and target was studied by systemsDock to forecast the potential active components and their possible effective targets, and GO functional annotation of the potential targets was performed by DAVID database. According to the results, tumor, diabetes and digestive diseases were suggested to be indications of Moringa leaves, correlated with 25 active components and 12 potential effective targets possibly by adjusting G protein-coupled receptor and affecting on inflammatory reaction. The new method on functional orientation by combining text mining with molecular docking was successfully practiced on Moringa leaves as a case study,which provides a useful reference for the ultilization of foreign medicinal resource.

[Analysis of potential role of Chinese classic prescriptions in treatment of COVID-19 based on TCMATCOV platform].

With the global outbreak of coronavirus disease 2019(COVID-19), screening of effective drugs has became the emphasis of research today; furthermore, screening of Chinese classic prescriptions has became one of the directions for drug development. This study analyzed the application of classic prescriptions in the diagnosis and treatment schemes based on the Diagnosis and Treatment Schemes for Coronavirus Disease at the country, provincial and municipal levels, and further explored its disrobing effect on COVID-19 disease severe phase network, and selected representative prescriptions for core target screening and gene enrichment analysis, so as to reveal its mechanism of action. Among them, 13 prescriptions were found to be used for 10 times or more, including Maxing Shigan Tang, Yinqiao San, Shengjiang San, Dayuan Drink, Xuanbai Chengqi Decoction. In addition, the COVID-19 efficacy prediction analysis platform(TCMATCOV platform) was used to calculate the network disturbances of the Chinese classic prescriptions involved. Based on the prediction results, 68 classic prescriptions were assessed on the COVID-19 disease network robustness disturbance. The average disturbance scores for the interaction confidence scores were ranked to be 0.4, 0.5, and 0.6 from the highest to the lowest. There were 7 prescriptions with a score of 17 or more, and 50 prescriptions with a score of 13 or more. Among them, the top three prescriptions were Ganlu Xiaodu Dan(18.19), Lengxiao Wan(17.74), and Maxing Shigan Tang(17.62). After further mining the action targets of these three prescriptions, it was found that COVID-19 disease-specific factors Ccl2, IL10, IL6 and TNF were all the targets of three prescriptions. Through the enrichment analysis of the biological processes of the core targets, it was found that the three prescriptions may prevent the development of the disease by affecting cell-to-cell adhesion, cytokine-mediated signaling pathway, and chronic inflammatory responses to COVID-19 at the severe phase. This study showed that the TCMATCOV platform could evaluate the disturbance effect of different prescriptions on the COVID-19 disease network, and predict potential effectiveness based on the robustness of drug-interfered pneumonia disease networks, so as to provide a reference for further experiments or clinical verification.

[TCMATCOV--a bioinformatics platform to predict efficacy of TCM against COVID-19].

There is urgent need to discover effective traditional Chinese medicine(TCM) for treating coronavirus disease 2019(COVID-19). The development of a bioinformatic tool is beneficial to predict the efficacy of TCM against COVID-19. Here we deve-loped a prediction platform TCMATCOV to predict the efficacy of the anti-coronavirus pneumonia effect of TCM, based on the interaction network imitating the disease network of COVID-19. This COVID-19 network model was constructed by protein-protein interactions of differentially expressed genes in mouse pneumonia caused by SARS-CoV and cytokines specifically up-regulated by COVID-19. TCMATCOV adopted quantitative evaluation algorithm of disease network disturbance after multi-target drug attack to predict potential drug effects. Based on the TCMATCOV platform, 106 TCM were calculated and predicted. Among them, the TCM with a high disturbance score account for a high proportion of the classic anti-COVID-19 prescriptions used by clinicians, suggesting that TCMATCOV has a good prediction ability to discover the effective TCM. The five flavors of Chinese medicine with a disturbance score greater than 1 are mainly spicy and bitter. The main meridian of these TCM is lung, heart, spleen, liver, and stomach meridian. The TCM related with QI and warm TCM have higher disturbance score. As a prediction tool for anti-COVID-19 TCM prescription, TCMATCOV platform possesses the potential to discovery possible effective TCM against COVID-19.

Proteomic Investigations of Transcription Factors Critical in Geniposide-Mediated Suppression of Alcoholic Steatosis and in Overdose-Induced Hepatotoxicity on Liver in Rats.

Alcoholic steatosis is one of the most prevalent forms of liver disease, and appropriate insight and application of anti-steatosis drugs must be considered. Geniposide, the major active constituent of the Gardenia jasminoides (Ellis) fruit, has been commonly used as a traditional herbal medicine for the treatment of liver diseases. However, its hepatoprotective effect on alcoholic steatosis has not been reported. Moreover, geniposide overdose-induced hepatotoxicity was demonstrated. Hence, its therapeutic effects and overdose-induced hepatotoxicity in rat models along with corresponding targets, especially the targets of transcription factors (TFs), were systematically investigated in this study by using a concatenated tandem array of consensus TF response elements. The results indicate that geniposide can attenuate alcoholic steatosis and liver injury by enhancing the transcriptional activities of peroxisome proliferator-activated receptor-α and hepatocyte nuclear factors 1α and 4α, while geniposide overdose perturbs other TFs. In addition, therapeutic doses and overdoses of geniposide have differentiated target TFs. This study is the first to provide a systematic insight into the difference of critical transcription factors between the actions of therapeutic doses and overdoses of geniposide, as well as much-needed attention to the important topic of alcoholic liver disease therapy.

[Study strategies on medicinal properties of foreign medicine introduced to traditional Chinese medicine].

The Silk Road and the Maritime Silk Road were the important accesses for the exchanges of herbal medicine between the primary traditional medical systems in the ancient world,which also are the strategic links between the areas with herbal medicine widely used and the most active markets for herbs at present. This article focuses on the foreign medicinal resources introduced to traditional Chinese medicine( TCM) in China. As new resources of Chinese Materia Medica( CMM),the four basic conditions should be required,which are the clear origin,the safety and effectiveness in clinical,the efficacy and properties described with theory of TCM.Medicinal property is the key scientific problem of foreign medicinal resources introduced to TCM. The research strategies include three aspects. Medicinal properties of foreign medicinal resources will be deduced and analyzed across multiple medical systems by solving the difference depending on finding the similarities of traditional medical systems. The medicinal properties-efficacies of foreign medicinal resources will be identified by identifying Xiang and selecting similar CMM. And Xiang-properties-efficacies of foreign medicinal resources will be researched under formulae environment using medicinal properties.