Elucidating the material basis and potential mechanisms of Myricaria germanica acting on rheumatoid arthritis by UPLC-Q-TOF-MS /MS and network pharmacology

Objective: This study used the UPLC-Q-TOF-MS/MS technique, network pharmacology, and molecular docking technology to elucidate the molecular mechanism of action of Myricaria germanica against rheumatoid arthritis. Methods: The UPLC-Q-TOF MS/MS technique and Swiss Target Prediction databases were used to select active compounds for Myricaria germanica and to predict relevant targets, respectively. The targets of rheumatoid arthritis were obtained from the TTD and GeneCards databases. Constructing protein interaction networks utilizing the String database, GO functional enrichment analysis, and KEGG pathway enrichment analysis of target genes utilizing the DAVID database, constructing ''component-potential target-pathway'' networks utilizing Cytoscape 3.9.1 software, and finally performing molecular docking utilizing Autodock Vina and other software. Results: Myricaria germanica screened 47 chemical components and 302 component targets, obtaining 4017 disease targets, and 32 intersection targets of chemical component targets and disease targets using the Veen diagram. PPI results demonstrate the greatest impact on TNF, VEGFA, ALB, etc. The GO enrichment analysis of 32 targets associated with rheumatoid arthritis reveals that all of these targets are associated with 129 biological processes, including the process of collagen degeneration and the positive regulation of the RNA polymerase II promoter. KEGG enrichment analysis reveals that 87 signaling pathways are involved in these rheumatoid arthritis-related targets, with the IL-17, Relaxin, and TNF signaling pathways being the most significant. As deduced from the network diagram of ingredient-potential target-pathway, the key ingredients for the treatment of rheumatoid arthritis in Myricaria germanica are Apigenin, Quillaic Acid, and Isorhamnetin, and the associated targets are MMP9, PTGS2, and TNF, with a binding energy of less than -4.25 kcal/mol. Conclusion: Myricaria germanica may act on potential core targets such as TNF, PTGS2, and MMP9 through key active ingredients such as Apigenin, Quillaic Acid, and Isorhamnetin to regulate signaling pathways such as IL-17, TNF, and Relaxin to exert therapeutic effects on rheumatoid arthritis

Crashworthiness optimization of bionic bumper structure under low-speed impact

By considering the crashworthiness design of bionic bumper structure during frontal impact, the thicknesses are chosen to analysis and optimal design to obtain the lightweight demand. The orthogonal experiment design and radial basis function are employed to construct the response surface for the performances of thin-xwalled components. The multi-objective cuckoo search (MOCS) is applied to perform the optimal design. The results demonstrate that the optimal method and process proposed have high accuracy and validity

Crashworthiness optimization of bionic bumper structure under low-speed impact

By considering the crashworthiness design of bionic bumper structure during frontal impact, the thicknesses are chosen to analysis and optimal design to obtain the lightweight demand. The orthogonal experiment design and radial basis function are employed to construct the response surface for the performances of thin-xwalled components. The multi-objective cuckoo search (MOCS) is applied to perform the optimal design. The results demonstrate that the optimal method and process proposed have high accuracy and validity

Genetic variant of miR-4293 rs12220909 is associated with susceptibility to non-small cell lung cancer in a Chinese Han population

<div><p>Non-small cell lung cancer is one of the most common cancers and the leading cause of cancer death worldwide. Genetic variants in regulatory regions of some miRNAs might be involved in non-small cell lung cancer susceptibility and survival. rs12220909 (G/C) genetic polymorphism in miR-4293 has been shown to be associated with decreased risk of esophageal squamous cell carcinoma. However, the influence of rs12220909 genetic variation on non-small cell lung cancer susceptibility has not been reported. In order to evaluate the potential association between miR-4293 rs12220909 and non-small cell lung cancer risk in a Chinese population, we performed a case-control study among 998 non-small cell lung cancer cases and 1471 controls. The data shows that miR-4293 rs12220909 was significantly associated with decreased susceptibility to non-small cell lung cancer (GC vs.GG: OR = 0.681, 95%CI = 0.555–0.835, <i>P</i> = 2.19E-4; GG vs. GC+CC: OR = 0.687, 95%CI = 0.564–0.837, <i>P</i> = 1.95E-4), which indicates that rs12220909 in miR-4293 may play a significant role in the development of non-small cell lung cancer.</p></div

Genotype frequencies of miR4293 rs12220909 and association with NSCLC.

<p>Genotype frequencies of miR4293 rs12220909 and association with NSCLC.</p

Stratified results for pri-miR-4293 rs12220909 G>C in the heterozygous model.

<p>Stratified results for pri-miR-4293 rs12220909 G>C in the heterozygous model.</p

Stratified results for pri-miR-4293 rs12220909 G>C in the dominant model.

<p>Stratified results for pri-miR-4293 rs12220909 G>C in the dominant model.</p