[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.

Role of NF-κB p65/TNF-α in Cell Apoptosis in the Fetal Membranes of Pregnant Women with Preterm Premature Rupture of Membranes.

OBJECTIVE: This study aimed to investigate the roles of nuclear factor-kappa B p65 (NF-[Formula: see text]B p65) and tumor necrosis factor-α (TNF-α) in cell apoptosis occurring in the fetal membranes of pregnant women who experience preterm premature rupture of membranes (PPROM). METHODS: This was a case-control study involving 57 pregnant women who delivered in the obstetric department of Affiliated Loudi Hospital, Hengyang Medical School, University of South China, from June 2021 to June 2022. Samples of fetal membrane tissue were collected from pregnant women with PPROM (n=27) and pregnant women who had normal deliveries (control group; n=30). The membrane tissue morphology of both groups was observed, and the expression of NF-[Formula: see text]B p65, p-NF-[Formula: see text]B p65, TNF-α, and caspase-3 was detected. Apoptosis in fetal membranes was examined. RESULTS: Morphological evaluation of the fetal membrane tissues obtained from patients with PPROM revealed an abnormal structure with a thin collagen fiber layer and cells with a largely vacuolar cytoplasm. There was a positive correlation between the expression of p-NF-[Formula: see text]B p65/NF-[Formula: see text]B p65 and cell apoptosis (r1 =0.89, R2 =0.805, P=0.00). Furthermore, TNF-α was positively correlated with fetal membrane cell apoptosis (r2 =0.93, R2=0.881, P=0.00). CONCLUSION: NF-[Formula: see text]B p65 is involved in the occurrence of PPROM by promoting the expression of TNF-α, which upregulates caspase-3 to cause apoptosis of fetal membrane cells.

The influence and mechanistic action of sperm DNA fragmentation index on the outcomes of assisted reproduction technology.

We investigated the influence of DNA fragmentation index (DFI) on in vitro fertilization (IVF), embryo transfer (ET), and intracytoplasmic sperm injection (ICSI). We analyzed the semen parameters of 61 cycles in infertile couples undergoing IVF-ET and ICSI and determined DFI by sperm chromatin dispersion testing. Based on DFI, the patients were differentiated into a control group (DFI < 25%, n = 35) and a test group (DFI ≥ 25%, n = 26). Flow cytometry and immunofluorescence were used to investigate the extent of sperm reactive oxygen species (ROS) and apoptosis. We also investigated the effect of DFI on pregnancy outcomes of IVF-ET/ICSI. DFI was negatively related to sperm motility and positively correlated with ROS and apoptosis (P < 0.05). Abnormally elevated DFI reduced the rate of transplantable, high-quality embryos, implantation, clinical pregnancy, delivery, and live birth after IVF-ET, and increased the chance of early abortion per transfer cycle (P < 0.05). However, there was no significant correlation between DFI and fertilization rate, cleavage rate, transplantable rate, high-quality embryo rate, implantation rate, clinical pregnancy rate, early abortion rate, delivery rate and live birth rate when assisted by ICSI (P > 0.05). Sperm DNA integrity is crucial for fertilization and the development of healthy offspring. ROS may increase the level of DFI by inducing apoptosis in sperm.

[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.

[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.

[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.

Enterovirus D68 in hospitalized children with respiratory symptoms in Guangdong from 2014 to 2018: Molecular epidemiology and clinical characteristics.

BACKGROUND: Enterovirus D68 (EV-D68) is an emerging pathogen in humans. EV-D68 causes a wide range of respiratory symptoms in children and has the propensity to cause severe complications. EV-D68 outbreaks are rarely investigated in mainland China. Therefore, in this study, we aimed to investigate the prevalence of EV-D68 in children and to describe the clinical manifestations as well as the phylogeny of EV-D68 in Guangdong Province from 2014 to 2018. METHODS: Nasopharyngeal swabs were collected from hospitalized children with respiratory symptoms and screened for respiratory pathogens by fluorescence quantitative PCR and culture. The EV-positive samples were subsequently typed by sequencing the 5'-untranslated region and EV-D68-specific VP1 capsid gene. A phylogenetic tree was constructed by the maximum-likelihood method based on the VP1 gene using ClustalW. RESULTS: A total of 1,498 (59.8%) out of 2,503 children were screened positive for ≥1 virus species. Among the 158 (6.31%) EV-positive samples, 17 (0.68%) were identified as EV-D68. Most EV-D68 cases (n = 14) were diagnosed with pneumonia and bronchial pneumonia. No deaths were found in EV-D68 cases. Wheezing occurred in EV-D68 cases more frequently (70.59% vs. 43.26%, P = 0.040) than that of other EVs. All the EV-D68 were of clade B3, which were highly similar to the strains circulating in China. CONCLUSION: EV-D68 was the predominant enterovirus type in hospitalized children with respiratory symptoms in Guangdong Province. All the EV-D68 strains belong to clade B3. The development of diagnostic tools is warranted in order to monitor EV-D68 infections in China.

[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.

Changes of Anti-tuberculosis Herbs Formula During Past Three Decades in Contrast to Ancient Ones.

OBJECTIVE: To investigate the evolution of herbal medicine in treating tuberculosis (TB) and encourage anti-TB drug discovery and development. METHODS: In this study, 477 ancient traditional Chinese medicine formulae were collected from the Dictionary of Traditional Chinese Medicine Prescriptions and 172 modern Chinese medicine formulae (from 1986 to 2016) were collected by searching 4 databases: WanFang Data Knowledge Service Platform, China National Knowledge Infrastructure Database (CNKI), China Science and Technology Journal Database (VIP) and Chinese Bio-medical Literature and Retrieval System (SinoMed) in Chinese. We restricted the search to publications in Chinese. Further data analysis was done using the Traditional Chinese Medicine Inheritance Support System version 2 Software. RESULTS: There were 425 herbs in the 477 ancient formulae and 257 herbs in the 172 modern formulae. Half of the top 30 herbs were shared by both modern and ancient prescriptions. They are Radix Ophiopogonis, Astragalus membranaceus, Fritillaria cirrhosa, Dried rehmannia glutinosa, Poria cocos, Angelica sinensis, Prepared rehmannia glutinosa, Platycodon Root, Radix paeoniae alba, Schisandra chinensis, Bighead atractylodes rhizome, Rhizoma anemarrhenae, Cortex lycii radicis and Radix Scutellariae. Only two groups of herbs with a high correlation coefficient were found in both modern and ancient prescriptions, the Dried rehmannia glutinosa with Radix ophiopogonis, and Radix ophiopogonis with Prepared rehmannia glutinosa. There were 9 and 15 core herb combinations in modern and ancient prescriptions, respectively, but no one was found simutaniously in both modern and ancient prescriptions. CONCLUSIONS: Although there were wide variations in the herb groups and herb combinations in the formulae, half of the top 30 herbs were found in both modern and ancient prescriptions. The core herb combinations in modern and ancient prescriptions could help us to improve the priscription for treatment of TB.

[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.

[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.

[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.

Gubenzhike Recipe Ameliorates Respiratory Mucosal Immunity in Mice with Chronic Obstructive Pulmonary Disease through Upregulation of the γδT Lymphocytes and KGF Levels.

BACKGROUND: Gubenzhike recipe, a traditional Chinese herbal compound, was assumed to have a possible beneficial effect on COPD. This study was designed to elucidate the mechanism from the perspective of respiratory mucosal immunity. METHODS: COPD model was induced by exposure to cigarette smoke and LPS instillation in mice for 12 weeks. Animals were administered solution of Gubenzhike recipe by intragastric gavage daily for 4 weeks. After that, mice were sacrificed for lung function test and histological examination of lung tissues. The levels of IL-6 and IL-13 in serum, bronchoalveolar lavage fluid (BALF), and intestinal mucus were measured by ELISA. The KGF and KGFR in lung tissue were analysed by immunohistochemical staining, ELISA, and western blotting, and the mRNA expressions were assessed by PCR. γδT lymphocytes in the lungs were isolated and analysed by immunohistochemical staining and flow cytometry. RESULTS: Gubenzhike recipe improved the structure of airway and damage of lung tissue and also the respiratory status and lung function, reduced the content of IL-6 in serum and BALF and IL-13 in BALF and intestinal mucus, increased the proportion of γδT cells in lung tissue, and promoted the secretion of KGF and KGFR (P < 0.05). CONCLUSION: We for the first time demonstrated an experimental procedure for the isolation of γδT lymphocytes from lung tissue. This study suggested that Gubenzhike recipe could enhance the respiratory mucosal immunity which provided experimental evidence for its effects of reinforcing "wei qi" by means of strengthening vital qi, tonifying spleen and kidney, relieving cough, and reducing phlegm in TCM.

[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.

[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.

Analysis on Composition Rules of Chinese Patent Drugs Treating Pain-Related Diseases Based on Data Mining Method.

OBJECTIVE: To analyze the composition rules of oral prescriptions in the treatment of headache, stomachache and dysmenorrhea recorded in National Standard for Chinese Patent Drugs (NSCPD) enacted by Ministry of Public Health of China and then make comparison between them to better understand pain treatment in different regions of human body. METHODS: Constructed NSCPD database had been constructed in 2014. Prescriptions treating the three pain-related diseases were searched and screened from the database. Then data mining method such as association rules analysis and complex system entropy method integrated in the data mining software Traditional Chinese Medicine Inheritance Support System (TCMISS) were applied to process the data. RESULTS: Top 25 drugs with high frequency in the treatment of each disease were selected, and 51, 33 and 22 core combinations treating headache, stomachache and dysmenorrhea respectively were mined out as well. CONCLUSIONS: The composition rules of the oral prescriptions for treating headache, stomachache and dysmenorrhea recorded in NSCPD has been summarized. Although there were similarities between them, formula varied according to different locations of pain. It can serve as an evidence and reference for clinical treatment and new drug development.