Potential Mechanisms of Perillae folium Against COVID-19: A Network Pharmacology Approach.

In China, Perillae folium is widely used to treat colds, especially in the early stages of cold; the effect of taking P. folium is readily noticeable at that time. The active compounds and targets of P. folium were screened from Traditional Chinese Medicine Systems Pharmacology, Chinese Pharmacopoeia, and UniProt. Targets related to the initiation and progression of 2019 Coronavirus Disease (COVID-19) were retrieved from Online Mendelian Inheritance in Man and GeneCards. The potential therapeutic targets of P. folium on COVID-19 were the cross targets between them. Enrichment analysis of Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were conducted by using the Database for Annotation, Visualization and Integrated Discovery website. Molecular docking between key compounds and core targets was performed with AutoDock. The effects of P. folium extract and rosmarinic acid on inflammatory cytokines were tested by a cellular inflammatory model. The "Perillae folium-compound-target-COVID-19" network contained 11 kinds of compounds and 33 matching targets. There were 261 items in the GO functions (P < .05) and 67 items linked to the KEGG signaling pathways (P < .05). Luteolin and rosmarinic acid were key compounds of P. folium. Their docking with the core targets mitogen-activated protein kinase 1 (MAPK1) and chemokine (C-C motif) ligand 2 (CCL2), respectively, showed that they had good affinity with each other. Cell experiments demonstrated that P. folium extract had inhibitory effects on interleukin-6 and tumor necrosis factor (TNF)-α in cells, and was better than rosmarinic acid. Luteolin, rosmarinic acid, and other individual active compounds in P. folium, which may participate in PI3K-Akt, TNF, Jak-STAT, COVID-19, and other multisignaling pathways through multiple targets such as MAPK1 and CCL2, and play a therapeutic role in COVID-19.

Different microRNAs contribute to the protective effect of mesenchymal stem cell-derived microvesicles in LPS induced acute respiratory distress syndrome.

Objectives: The present study aimed to determine whether bone marrow mesenchymal stem cell-derived microvesicles (MSC MVs) were effective in restoring lung tissue structure, and to assess the potential role of miRNAs in the pathogenesis and progression of acute respiratory distress syndrome (ARDS). Materials and Methods: ARDS was induced by lipopolysaccharide in male C57BL/6 mice. The degree of lung injury was assessed by histological analysis, lung's wet weight/body weight, and protein levels in the bronchoalveolar lavage fluid (BALF). Sequencing was performed on the BGISEQ-500 platform. Differentially expressed miRNAs (DEMs) were screened with the DEGseq software. The target genes of DEMs were predicted by iRNAhybrid, miRanda, and TargetScan. Results: Compared with LPS-injured mice, MSC MVs reduced lung water and total protein levels in the BALF, demonstrating a protective effect. 52 miRNAs were differentially expressed following treatment with MSC MVs in ARDS mice. Among them, miR-532-5p, miR-223-3p, and miR-744-5p were significantly regulated. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed the target genes were mainly located in the cell, organelle, and membrane. Furthermore, KEGG pathways such as ErbB, PI3K-Akt, Ras, MAPK, Toll, and Wnt signaling pathways were the most significant pathways enriched by the target genes. Conclusion: MSC MVs treatment was involved in alleviating lung injury and promoting lung tissue repair by dysregulated miRNAs.

Beyond GWAS-Could Genetic Differentiation within the Allograft Rejection Pathway Shape Natural Immunity to COVID-19?

COVID-19 infections pose a serious global health concern so it is crucial to identify the biomarkers for the susceptibility to and resistance against this disease that could help in a rapid risk assessment and reliable decisions being made on patients' treatment and their potential hospitalisation. Several studies investigated the factors associated with severe COVID-19 outcomes that can be either environmental, population based, or genetic. It was demonstrated that the genetics of the host plays an important role in the various immune responses and, therefore, there are different clinical presentations of COVID-19 infection. In this study, we aimed to use variant descriptive statistics from GWAS (Genome-Wide Association Study) and variant genomic annotations to identify metabolic pathways that are associated with a severe COVID-19 infection as well as pathways related to resistance to COVID-19. For this purpose, we applied a custom-designed mixed linear model implemented into custom-written software. Our analysis of more than 12.5 million SNPs did not indicate any pathway that was significant for a severe COVID-19 infection. However, the Allograft rejection pathway (hsa05330) was significant (p = 0.01087) for resistance to the infection. The majority of the 27 SNP marking genes constituting the Allograft rejection pathway were located on chromosome 6 (19 SNPs) and the remainder were mapped to chromosomes 2, 3, 10, 12, 20, and X. This pathway comprises several immune system components crucial for the self versus non-self recognition, but also the components of antiviral immunity. Our study demonstrated that not only single variants are important for resistance to COVID-19, but also the cumulative impact of several SNPs within the same pathway matters.