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Objective:Based on network pharmacology and molecular docking to explore the targets and mechanism of Xiaoyong Sanjie Formula treating Non-Puerperal Mastitis (NPM).Methods:By retrieving the active components and the corresponding target information of each component in Xiaoyong Sanjie Formula with Pharmacology Database and Analysis Platform of Chinese Medicine System (TCMSP), and NPM-related genes in database like GeneCard, OMIM, PharmGkb, TTD, and DrugBank, the data of the core targets of Xiaoyong Sanjie Formula and disease-related genes was compared to obtain intersecting genes, and the STRING database was used to analyze the protein interaction network and find the core genes. With the help of Cytoscape 3.8.0, the active ingredient-target-pathway regulation network diagram of Xiaoyong Sanjie Formula for the treatment of NPM was established. The R language pack was used to enrich the targets with GO function and KEGG pathway enrichment, and the potential targets and mechanism of Xiaoyong Sanjie Formula in the treatment of NPM were explored. Finally, molecular docking verification was carried out to analyze the effecacy of key components and potential core targets of Xiaoyong Sanjie Formula.Results:Network pharmacological analysis showed that there were 47 active component and 1 692 NPM-related potential targets in Xiaoyong Sanjie Formula, and 235 core targets of NPM in the treatment of Xiaoyong Sanjie Formula. The key components of Xiaoyong Sanjie Formula in the treatment of NPM include Quercetin, Naringenin, Kaempferol, Diosgenin, Luteolin, etc., with the core targets of intercellular adhesion molecule-1 (ICAM-1), vascular endothelial growth factor (VEGFA), tumor necrosis factor (TNF), interleukin-6 (IL-6), Epidermal growth factor receptor (EGFR), interleukin-1β (IL-1B), chemokine-8 (CXCL8), chemokine-2 (CCL2), etc. GO enrichment obtained 1 492 biological process entries. The KEGG pathway is enriched to obtain 105 pathways, including the TNF signaling pathway, the PI3K-Akt signaling pathway, the NF-kappa B signaling pathway, and the JAK-STAT signaling pathway, IL-17 signaling pathway, C-type lectin receptor signaling pathway, etc. The final molecular docking verified that the key active ingredients of Xiaoyong Sanjie Formula could bind with the potential core targets closely.Conclusion:Xiaoyong Sanjie Formula can treat NPM with multi-component, multi-target characteristics,which plays a role of treating NPM through signaling pathways such as immuno-inflammatory response, the metabolism of the medicine, cellular adaptive stress response, and vascular function regulation.
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The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) issued a significant and urgent threat to global health. The exact animal origin of SARS-CoV-2 remains obscure and understanding its host range is vital for preventing interspecies transmission. Previously, we have assessed the target cell profiles of SARS-CoV-2 in pets, livestock, poultry and wild animals. Herein, we expand this investigation to a wider range of animal species and viruses to provide a comprehensive source for large-scale screening of potential virus hosts. Single cell atlas for several mammalian species (alpaca, hamster, hedgehog, chinchilla etc.), as well as comparative atlas for lung, brain and peripheral blood mononuclear cells (PBMC) for various lineages of animals were constructed, from which we systemically analyzed the virus entry factors for 113 viruses over 20 species from mammalians, birds, reptiles, amphibians and invertebrates. Conserved cellular connectomes and regulomes were also identified, revealing the fundamental cell-cell and gene-gene cross-talks between these species. Overall, our study could help identify the potential host range and tissue tropism of SARS-CoV-2 and a diverse set of viruses and reveal the host-virus co-evolution footprints.
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System-wide molecular characteristics of COVID-19, especially in those patients without comorbidities, have not been fully investigated. We compared extensive molecular profiles of blood samples from 231 COVID-19 patients, ranging from asymptomatic to critically ill, importantly excluding those with any comorbidities. Amongst the major findings, asymptomatic patients were characterized by highly activated anti-virus interferon, T/natural killer (NK) cell activation, and transcriptional upregulation of inflammatory cytokine mRNAs. However, given very abundant RNA binding proteins (RBPs), these cytokine mRNAs could be effectively destabilized hence preserving normal cytokine levels. In contrast, in critically ill patients, cytokine storm due to RBPs inhibition and tryptophan metabolites accumulation contributed to T/NK cell dysfunction. A machine-learning model was constructed which accurately stratified the COVID-19 severities based on their multi-omics features. Overall, our analysis provides insights into COVID-19 pathogenesis and identifies targets for intervening in treatment.
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A few animals have been suspected to be intermediate hosts of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, a large-scale single-cell screening of SARS-CoV-2 target cells on a wide variety of animals is missing. Here, we constructed the single-cell atlas for 11 representative species in pets, livestock, poultry, and wildlife. Notably, the proportion of SARS-CoV-2 target cells in cat was found considerably higher than other species we investigated and SARS-CoV-2 target cells were detected in multiple cell types of domestic pig, implying the necessity to carefully evaluate the risk of cats during the current COVID-19 pandemic and keep pigs under surveillance for the possibility of becoming intermediate hosts in future coronavirus outbreak. Furthermore, we screened the expression patterns of receptors for 144 viruses, resulting in a comprehensive atlas of virus target cells. Taken together, our work provides a novel and fundamental strategy to screen virus target cells and susceptible species, based on single-cell transcriptomes we generated for domesticated animals and wildlife, which could function as a valuable resource for controlling current pandemics and serve as an early warning system for coping with future infectious disease threats.
