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Aim To explore the active compound of Maxingganshi decoction in treatment of novel coronavirus pneumonia(COVID-19). Methods With the help of TCMSP database, the chemical components and action targets of ephedra, almond, licorice, and gypsum in Maxingganshi decoction were searched, and then a C-T network, protein interaction analysis, GO functional enrichment analysis, and KEGG pathway enrichment were constructed. Analysis was performed to predict its mechanism of action. Results A total of 120 compounds in Maxingganshi decoction corresponded to 222 targets. PTGS2, ESR1, PPARG, AR, NOS2, NCOA2 acted on PI3K-Akt signaling pathway, TNF signaling pathway, IL-17 signaling pathway, T cell receptor signaling pathways, etc. The results of molecular docking showed that the affinity of quercetin, kaempferol, glabridin and other core compounds was similar to recommended drugs in treatment of COVID-19. Conclusions The active compounds of Maxingganshi decoction can target multiple pathways to achieve the therapeutic effect of COVID-19.Copyright © 2020 Publication Centre of Anhui Medical University. All rights reserved.
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The proceedings contain 549 papers. The topics discussed include: interleukin-2 kinase-mediated T-cell receptor signaling is critical in the development of type 1 diabetes by OT-1 T-cells;the effect of the COVID-19 pandemic on anxiety and depression in adolescents in the military population;dollars sense: a school-based effort to increase financial literacy in high school students;fostering the next generation of healthcare leaders in a pandemic world;walkability of San Bernardino county?s elementary schools in relation to various school characteristics;placebo-controlled trial in tanner 2-3 males with Klinefelter syndrome: effect of testosterone gel versus placebo in motor skills outcomes;my implant is expiring: a national secret shopper study of extended use of the contraceptive implant;comparing the effects of aerobic exercise and yoga on stress levels in college students;and are patients with a history of chest radiation therapy at higher risk for sternal wound problems after heart transplant?.
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: Lung cancer is the most commonly occurring cancer in men worldwide. To search for new biological markers of this pathology, the transcriptome of the blood mononuclear cells from patients and healthy donors (residents of Kemerovo oblast, Russia) was studied using SurePrint G3 Human Gene Expression microarray technology. A total of 288 differentially expressed genes were identified, including 108 up-regulated genes and 180 down-regulated genes. Functional enrichment analysis using the WebGestalt resource and different databases (Gene Ontology, KEGG, and Reactome) indicated changes in the expression profiles of genes involved in the processes of immune response, protein synthesis, cell cycle control, and apoptosis. Analysis of protein–protein interactions using the STRING algorithm made it possible to identify functional clusters of gene products with different expression levels.
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Rationale: Despite the availability of pharmacologic therapies, idiopathic pulmonary fibrosis (IPF) is still a clinical challenge with several unmet needs. Robust evidence supports monocytes as cellular biomarkers of progression in IPF. Yet, their precise role and whether specific subtypes might predict progression and drive disease is unknown. We reported, for the first time, that myeloidderived suppressor cells (MDSC), immature precursors of monocytes, are increased in numbers, functionally active in IPF. Monocytic MDSC is the predominant subtype in IPF, and yet, functional characterization and immune modulation properties have not been explored. Methods and Results: characterization of circulating myeloid populations in IPF by multicolor FACS confirmed the abundance of MDSC (Lin-, HLA-DRlo, CD33+, CD14+, S100A+, CD28L1+ and ICOSL+) in IPF (n=78) and fILD (n=83), also abundant in whole blood scRNA seq of severe Covid-19 patients that progressed into fibrosis, and not in mild Covid-19. Then, we prospectively followed 83 fILD patients (45% IPF, 55% non-IPF -EAA, CTD-ILD, NSIP-) over 1 year and immunophenotyped them every 3 months. Cross-sectional analysis showed that patients with a higher number circulating MDSC, had a higher GAP index (7-8) (p<0,001). Longitudinal follow-up showed that patients with constant higher circulating MDSC had lower transplant-free survival (p=0.0058). Primary isolated MDSC when co-cultured with autologous T cells induced CD8+ T cell exhaustion (PD1hi, Lag3hi, Tim3hi, TNFalpha lo, INFglo), and downregulation of co-stimulatory T cell signaling (CD28, ICOS, ITK, and LCK), preliminary data support the induction of de-novo FoxP3 Treg formation, creating a suppressive and immunosenescent microenvironment in IPF. FACS analysis of explanted lungs demonstrated the increase of tissue-resident MDSC in fibrosis (HP, NSIP, IPF) compared with donor lungs, as well as in bleomycin-induced fibrosis compared to PBS. Conclusion: Taking together, a high number of circulating MDSC reflects worse lung function and higher GAP index in cross-sectional analysis, and associates with lower transplant-free survival longitudinally. The role that immature and mature monocytes play during promotion of a suppressive microenvironment in IPF is an unexplored area that may lead to a paradigm shift in our understanding of the sequelae of exhaustion and immunosenescence, contributing to the identification of novel targets useful for therapeutic myeloid selection in IPF.
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The correlates of COVID-19 illness severity following infection with SARS-Coronavirus 2 (SCoV2) are poorly understood. While several demographic and underlying clinical variables increase risk for severe outcomes, at the onset of symptoms, it is challenging to identify those who will progress to requiring intensive care support. We conducted a pilot study to understand peripheral blood gene expression correlates of COVID19 illness across the spectrum of disease severity. We assessed gene expression in 53 confirmed SCoV2-infected adult participants during acute illness (within 28 days of onset). We found global gene expression patterns in participants with mild and moderate illness were highly similar, but significantly different from participants with severe illness. When comparing gene expression in those with severe as compared to non-severe illness, we identified >4000 genes significantly differentially expressed (FDR<0.05). Biological pathways represented by genes significantly increased in severe COVID19 were associated with platelet activation and coagulation, while those significantly decreased in severe COVID19 were associated with T cell signaling and differentiation (Figure 1). We used statistical modeling with crossvalidation to identify an 18-gene signature which classified severe illness (ROC AUC=0.98) in our training cohort, and strongly predicted hospitalization in an independent test cohort (ROC AUC=0.85). A weighted gene expression risk score (WGERS) provided 100% sensitivity and 85% specificity for classifying severe illness in our training cohort, and only mis-classified (5/19) participants with moderate illness. Importantly, the WGERS demonstrated 84% sensitivity and 74% specificity for predicting hospitalization in the test cohort. These data indicate that gene expression classifiers may provide clinical utility for identifying participants likely to require intensive care following SCoV2 infection.
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Aims: The aim of this study was to extract the signaling mediators or biological pathways that link covid-19 to other diseases such as type 1 diabetes mellitus (T1DM). Methods: Microarray data of covid-19 (GSE164805) was extracted from Gene Expression Omnibus (GEO) and analyses were performed by R package and GEO2R. Functional enrichment analysis was done to extract enriched molecular pathways (MP), biological process (BP) and molecular function (MF). Then commonly up- and down-regulated genes in covid-19 and T1DM were extracted by comparing deferentially expressed genes (DEGs) of GSE164805 and GSE9006. Results: Down-regulated DEGs in the severely progressing covid-19 patients (SPCP) had a link to T1DM. Major histocompatibility system (MHC) class II, gamma interferon (IFNγ), and IL-1B were enriched in extracted pathway that leads to T1DM. In addition, comparing extracted DEGs from GSE164805 and GSE9006 indicated that MTUS1, EGR1 and EGR3 are the genes that are up-regulated in both SPCP and T1DM. Conclusion: The findings of this study indicate that coincidence of SARS-COV-2 infection and T1DM may increase the severity of both diseases. Although covid-19 reduced the T cell mediated immune response, but increased mediators of T-cell signaling pathway such as IL-1 in both diseases. This could potentiate the inflammation response and worsens the severity of covid-19 cytokine storm or increase the resistance to insulin.
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Aim To explore the active compound of Maxingganshi decoction in treatment of novel coronavirus pneumonia(COVID-19). Methods With the help of TCMSP database, the chemical components and action targets of ephedra, almond, licorice, and gypsum in Maxingganshi decoction were searched, and then a C-T network, protein interaction analysis, GO functional enrichment analysis, and KEGG pathway enrichment were constructed. Analysis was performed to predict its mechanism of action. Results A total of 120 compounds in Maxingganshi decoction corresponded to 222 targets. PTGS2, ESR1, PPARG, AR, NOS2, NCOA2 acted on PI3K-Akt signaling pathway, TNF signaling pathway, IL-17 signaling pathway, T cell receptor signaling pathways, etc. The results of molecular docking showed that the affinity of quercetin, kaempferol, glabridin and other core compounds was similar to recommended drugs in treatment of COVID-19. Conclusions The active compounds of Maxingganshi decoction can target multiple pathways to achieve the therapeutic effect of COVID-19.