络脉概念诠释

对络脉的概念、生理功能及其特性进行了论述。认为络脉不仅有广义、狭义之别,而且有气络、血络之分和阴络、阳络之异。络脉之三大特性:即分布的广泛性、结构的复杂性和功能的多维性;络脉的生理功能主要是络脉流通、络脉渗灌和络脉反注。强调络脉虽与微循环相似,但并不能等同,络脉是功能结构载体。

Network pharmacology based method for mechanistic investigation of the Compound Xintahua in the treatment of atherosclerosis

Objective:To explore the pharmacological basis of the Compound Xintahua (XTH) action in Atherosclerosis (AS) therapy, a network interaction analysis was conducted at the molecular level. Methods:TCMSP database and literature mining were used to analyze the main effective components in XTH, and the targets were predicted by Swiss Target Prediction server according to AS mechanism. The potential targets were introduced into the FunRich database for target annotation and analysis, the path analysis was finally performed based on the FunRich databases. To determine the mechanism of action of XTH. Results:A total of 316 compounds, 117 targets, and 290 signaling pathways were identified. And 16 effective compounds, 39 common targets, and 43 pathways were associated with AS. Conclusions:The results showed that the flavonoids, phenols, organic acids and terpenoids of XTH could participate in the process of lipid metabolism, angiogenesis, oxidation, inflammation, endocrine metabolism, cell proliferation and apoptosis, It was further found that they could play the role of anti-Atherosclerosis through multi-component, multi-target, and multi-channel synergistically.

Fast Learning in Spiking Neural Networks by Learning Rate Adaptation

For accelerating the supervised learning by the SpikeProp algorithm with the temporal coding paradigm in spiking neural networks (SNNs), three learning rate adaptation methods (heuristic rule, delta-delta rule, and delta-bar-delta rule), which are used to speed up training in artificial neural networks, are used to develop the training algorithms for feedforward SNN. The performance of these algorithms is investigated by four experiments: classical XOR (exclusive or) problem, Iris dataset, fault diagnosis in the Tennessee Eastman process, and Poisson trains of discrete spikes. The results demonstrate that all the three learning rate adaptation methods are able to speed up convergence of SNN compared with the original SpikeProp algorithm. Furthermore, if the adaptive learning rate is used in combination with the momentum term, the two modifications will balance each other in a beneficial way to accomplish rapid and steady convergence. In the three learning rate adaptation methods, delta-bar-delta rule performs the best. The delta-bar-delta method with momentum has the fastest convergence rate, the greatest stability of training process, and the maximum accuracy of network learning. The proposed algorithms in this paper are simple and efficient, and consequently valuable for practical applications of SNN.

Potential Mechanisms of Yanghe Decoction in the Treatment of Soft Tissue Sarcoma and Arteriosclerosis Obliterans Based on Network Pharmacology

Objective The objective of this study was to investigate potential mechanisms of Yanghe Decoction(YHD)in treating soft tissue sarcoma(STS)and arteriosclerosis obliterans(ASO)based on the use of network pharmacology.Methods Candidate compounds and potential targets were identifed through the TCM Systems Pharmacology database and a comprehensive literature search.Related targets of STS and ASO were collected in the GeneCards database,DisGeNET database,and Drugbank database.Furthermore,The STRING 11.0 database was used to determine protein-protein interaction(PPI)networks;common targets were obtained and imported into Cytoscape 3.7.2.Then,a PPI network comprising common targets was drawn,and network topology analysis was performed to screen for key shared targets.Gene ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of key shared targets were performed by using Metascape software.Subsequently.a compound-target-pathway network was constructed via Cytoscape 3.7.2.Results The following signaling pathways were found to be associated with the mechanisms of YHD in treating STS and ASO:AGE-RAGE signaling pathway,IL-17 signaling pathway;HIF-1 signaling pathway,TNF signaling pathway,interactions between cytokines and cytokine receptors,Th17 cell differentiation,and NOD-like receptor signaling pathway.Among the compounds and targets involved in these pathways,quercetin,luteolin,and kaempferol were found to be core compounds,and TNF,IL-6,and MAPK1 were found to be core targets.Conclusion Taken together,our findings elucidated that potential mechanisms of YHD in treating STS and ASO involved cellular proliferation/differentiation,angiogen-esis,inflammation,immune responses,oxidative stress,and other related signaling pathways.