Oxymatrine alleviates periodontitis in rats by inhibiting inflammatory factor secretion and regulating MMPs/TIMP protein expression1

Explore intersection genes of oxymatrine and COVID-19 with lung cancer as potential therapeutic targets based on network pharmacology

Introduction. Oxymatrine is a natural quinazine alkaloid extracted from Sophora flavescens and has many medicinal values. Oxymatrine showed protective effects, viral inhibition and effects against lung cancer.Hypothesis/Gap Statement. Individuals with lung cancer exhibit heightened vulnerability to COVID-19 infection due to compromised immune function. In conjunction with COVID-19, it is hypothesized that oxymatrine may exert potent pharmacological effects on lung cancer patients.Aim. The objective of this study was to assess the pharmacological mechanisms and targets of oxymatrine in relation to COVID-19 lung cancer.Methodology. Utilizing network pharmacology analysis, a selection of 2628 genes were identified as co-targets for both COVID-19 and lung cancer. Subsequently, a clinicopathological analysis was conducted by integrating RNA-Seq and clinical data obtained from the TCGA-LUAD lung cancer dataset, which was acquired from the official TCGA website. The identification of pharmacological targets for oxymatrine was accomplished through the utilization of various databases including Pharm mapper, SWISS Target prediction, and STITCH. These identified targets were further investigated for protein-protein interaction (PPI) using STRING, as well as for gene ontology (GO) and KEGG pathways.Results. The effects of oxymatrine on COVID-19-induced lung cancer were mediated by immune regulation, cytoprotection, antiviral, and anti-inflammatory activities, immune regulation, and control of related signalling pathways, including the formation of the neutrophil extracellular trap, phagosome, Toll-like receptor signalling pathway, apoptosis, proteoglycans in cancer, extracellular matrix disassembly, and proteolysis involved in cellular protein catabolism. Furthermore, important substances and genes like ALB, MMP3, MMP1, and TLR4 may affect how oxymatrine suppresses lung cancer/COVID-19 development.Conclusion. To treat COVID-19 or lung cancer paired with COVID-19, oxymatrine may improve the therapeutic efficacy of current clinical antiviral medicines and immunotherapy.

Identification of Senescent Cells in Peri-Implantitis and Prevention of Mini-Implant Loss Using Senolytics

Peri-implantitis is a disease that causes the detachment of orthodontic mini-implants. Recently, stress-induced senescent cells have been reported to be involved in various inflammatory diseases. Senescent cell-eliminating drugs, termed "senolytics", can improve the symptoms of such diseases. However, the relationship between peri-implantitis and senescent cells remains unclear. In this study, we evaluated the presence of senescent cells in a rat peri-implantitis model developed with a gum ring. The effect on bone resorption and implant loss was also investigated with and without senolytics (Dasatinib and Quercetin). The number of senescence markers (p19, p21, and p16) was found to increase, and implant detachment occurred in 24 days. After the administration of senolytics, the number of senescence markers decreased and implant detachment was inhibited. This study suggests that senescent cells aggravate peri-implantitis and senolytic administration latently reduces implant loss by inhibiting senescence-related mechanisms.

Mechanisms of Compound Kushen Injection for the Treatment of Lung Cancer Based on Network Pharmacology

Background

Compound Kushen Injection (CKI) is a Chinese patent drug that shows good efficacy in treating lung cancer (LC). However, its underlying mechanisms need to be further clarified.

Methods

In this study, we adopted a network pharmacology method to gather compounds, predict targets, construct networks, and analyze biological functions and pathways. Moreover, molecular docking simulation was employed to assess the binding potential of selected target-compound pairs.

Results

Four networks were established, including the compound-putative target network, protein-protein interaction (PPI) network of LC targets, compound-LC target network, and herb-compound-target-pathway network. Network analysis showed that 8 targets (CHRNA3, DRD2, PRKCA, CDK1, CDK2, CHRNA5, MMP1, and MMP9) may be the therapeutic targets of CKI in LC. In addition, molecular docking simulation indicated that CHRNA3, DRD2, PRKCA, CDK1, CDK2, MMP1, and MMP9 had good binding activity with the corresponding compounds. Furthermore, enrichment analysis indicated that CKI might exert a therapeutic role in LC by regulating some important pathways, namely, pathways in cancer, proteoglycans in cancer, PI3K-Akt signaling pathway, non-small-cell lung cancer, and small cell lung cancer.

Conclusions

This study validated and predicted the mechanism of CKI in treating LC. Additionally, this study provides a good foundation for further experimental studies and promotes the reasonable application of CKI in the clinical treatment of LC.