Parabrachial nucleus astrocytes regulate wakefulness and isoflurane anesthesia in mice.

Background: The parabrachial nucleus (PBN) is an important structure regulating the sleep-wake behavior and general anesthesia. Astrocytes in the central nervous system modulate neuronal activity and consequential behavior. However, the specific role of the parabrachial nucleus astrocytes in regulating the sleep-wake behavior and general anesthesia remains unclear. Methods: We used chemogenetic approach to activate or inhibit the activity of PBN astrocytes by injecting AAV-GFAabc1d-hM3Dq-eGFP or AAV-GFAabc1d-hM4Di-eGFP into the PBN. We investigated the effects of intraperitoneal injection of CNO or vehicle on the amount of wakefulness, NREM sleep and REM sleep in sleep-wake behavior, and on the time of loss of righting reflex, time of recovery of righting reflex, sensitivity to isoflurane, electroencephalogram (EEG) power spectrum and burst suppression ratio (BSR) in isoflurane anesthesia. Results: The activation of PBN astrocytes increased wakefulness amount for 4 h, while the inhibition of PBN astrocytes decreased total amount of wakefulness during the 3-hour post-injection period. Chemogenetic activation of PBN astrocytes decreased isoflurane sensitivity and shortened the emergence time from isoflurane-induced general anesthesia. Cortical EEG recordings revealed that PBN astrocyte activation decreased the EEG delta power and BSR during isoflurane anesthesia. Chemogenetic Inhibition of PBN astrocytes increased the EEG delta power and BSR during isoflurane anesthesia. Conclusion: PBN astrocytes are a key neural substrate regulating wakefulness and emergence from isoflurane anesthesia.

Study on the mechanism of treating COVID-19 with Shenqi Wan based on network pharmacology.

PURPOSE: Through the method of network pharmacology, the active components and targets of Shenqi Wan (SQW) were excavated, the relationship with novel Coronavirus pneumonia (COVID-19) was discussed, and the possible mechanism of SQW in the treatment of COVID-19 was revealed from the aspects of multicomponents, multitargets, and multipathways. METHODS: Firstly, the active components of SQW were screened from traditional Chinese medicine systems pharmacology database and analysis platform and the 2020 edition of Chinese Pharmacopeia, and the related targets of the components were obtained. Then the disease targets related to COVID-19 were screened from GeneCards and Online Mendelian Inheritance in Man. Venny was used to map the relationship between component-target and disease-target, and String was used to analyze the interaction of common targets. The network was constructed and analyzed by Cytoscape, the function of Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) genes was enriched by Metascape, and the molecular docking was verified by CB-Dock. RESULTS: Finally, 45 active components of SQW were obtained, and 72 potential targets were related to COVID-19, angiotensin-converting enzyme 2 (ACE2), interleukin (IL)-6, nitric oxide synthase (NOS3) and, C-reactive protein (CRP),may be the key targets. GO enrichment of 1715 projects, such as lipopolysaccharide stress response, active oxygen metabolism, positive regulation of cell migration, and other GO enrichment. About 136 KEGG pathways, tumor necrosis factor signaling pathway, IL-17 signaling pathway, hypoxia-inducible factor 1-α signaling pathway were obtained. Molecular docking showed that kaempferol, quercetin, luteolin, astragaloside, calyx isoflavone glucoside, matrine, and other COVID-19-related targets such as ACE2, chymotrypsin-like protease (3CLpro), papain-like protease (PLpro), prostaglandin-endoperoxide synthase 2 (PTGS2) have good binding ability. CONCLUSION: According to the above results, it is suggested that SQW may play a role in the treatment of COVID-19 by directly or indirectly combining kaempferol, quercetin, and luteolin with ACE2, 3CLpro, PLpro, and PTGS2 to regulate multiple biological functions and signaling pathways.

[Study on mechanism of combination of Platycodonis Radix and Lilii Bulbus with homology of medicine and food in treating pneumonia].

To investigate the potential molecular mechanism of the combination of Platycodonis Radix and Lilii Bulbus with the homology of medicine and food in the treatment of pneumonia by means of network pharmacology and in vitro verification experiment. Under the condition of bioavailability(OB)≥30% and drug-like(DL)≥0.18, the active components of Platycodonis Radix and Lilii Bulbus were screened in TCMSP database; the prediction targets of active components were searched from TCMSP, DrugBank and other databases, and the potential targets of pneumonia were obtained through GeneCards and OMIM database. The common targets were obtained by the intersection of drug and disease targets. The PPI network of common targets was constructed by STRING 11.0, and the core targets were obtained by topological analysis. Then the core targets received GO and KEGG analysis with use of WebGestalt and Metascape. The "component-target-pathway" network was constructed with the help of Cytoscape 3.7.1 software, and the component-target molecular docking verification was carried out with Discovery Studio 2016 software. Finally, the core targets and pathways were preliminarily verified in vitro. In this study, 12 active components were screened, 225 drug prediction targets and 420 potential diseases targets were obtained based on data mining method, and 14 core targets were obtained by topological analysis, including TNF, MMP9, AKT1, IL4 and IL2. The enrichment results of GO and KEGG showed that "Platycodonis Radix and Lilii Bulbus" drug pair may regulate inflammation, cell growth and metabolism by acting on 20 key signaling pathways such as TNF and IL-17, thereby exerting anti-pneumonia effects. The results of molecular docking showed that 12 active components had good binding ability with 14 core targets. In vitro experiment results showed that the core components of "Platycodonis Radix and Lilii Bulbus" drug pair could inhibit the expression of MMP9 and TNF-α by regulating TNF signal pathway. This study confirmed the scientificity and reliability of the prediction results of network pharmacology, and preliminarily revealed the potential molecular mechanism of the compatibility of Platycodonis Radix and Lilii Bulbus in the treatment of pneumonia. It provides a novel insight on systematically exploring the mechanism of the compatible use of Platycodonis Radix and Lilii Bulbus, and has a certain reference value for the research, development and application of new drugs.

Uncovering the mechanism of the effects of Paeoniae Radix Alba on iron-deficiency anaemia through a network pharmacology-based strategy.

BACKGROUND: Paeoniae Radix Alba, the root of the plant Paeonia lactiflora Pall, is a common blood-enriching drug in traditional Chinese medicine. Its effectiveness in the clinical treatment of anaemia is remarkable, but its potential pharmacologic mechanism has not been clarified. METHODS: In this study, the potential pharmacologic mechanism of Paeoniae Radix Alba in the treatment of iron-deficiency anaemia was preliminarily elucidated through systematic and comprehensive network pharmacology. RESULTS: Specifically, we obtained 15 candidate active ingredients from among 146 chemical components in Paeoniae Radix Alba. The ingredients were predicted to target 77 genes associated with iron-deficiency anaemia. In-depth analyses of these targets revealed that they were mostly associated with energy metabolism, cell proliferation, and stress responses, suggesting that Paeoniae Radix Alba helps alleviate iron-deficiency anaemia by affecting these processes. In addition, we conducted a core target analysis and a cluster analysis of protein-protein interaction (PPI) networks. The results showed that four pathways, the p53 signalling pathway, the IL-17 signalling pathway, the TNF signalling pathway and the AGE-RAGE signalling pathway in diabetic complications, may be major pathways associated with the ameliorative effects of Paeoniae Radix Alba on iron-deficiency anaemia. Moreover, molecular docking verified the credibility of the network for molecular target prediction. CONCLUSIONS: Overall, this study predicted the functional ingredients in Paeoniae Radix Alba and their targets and uncovered the mechanism of action of this drug, providing new insights for advanced research on Paeoniae Radix Alba and other traditional Chinese medicines.