4 results
Search Results
2. Is acupuncture effective in the treatment of COVID-19 related symptoms? Based on bioinformatics/network topology strategy.
- Author
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Han, Zhenzhen, Zhang, Yang, Wang, Pengqian, Tang, Qilin, and Zhang, Kai
- Subjects
COVID-19 treatment ,COVID-19 ,ACUPUNCTURE ,SYMPTOMS ,STAPHYLOCOCCUS aureus infections ,CARDIOVASCULAR diseases - Abstract
Acupuncture is an important part of Chinese medicine that has been widely used in the treatment of inflammatory diseases. During the coronavirus disease 2019 (COVID-19) epidemic, acupuncture has been used as a complementary treatment for COVID-19 in China. However, the underlying mechanism of acupuncture treatment of COVID-19 remains unclear. Based on bioinformatics/topology, this paper systematically revealed the multi-target mechanisms of acupuncture therapy for COVID-19 through text mining, bioinformatics, network topology, etc. Two active compounds produced after acupuncture and 180 protein targets were identified. A total of 522 Gene Ontology terms related to acupuncture for COVID-19 were identified, and 61 pathways were screened based on the Kyoto Encyclopedia of Genes and Genomes. Our findings suggested that acupuncture treatment of COVID-19 was associated with suppression of inflammatory stress, improving immunity and regulating nervous system function, including activation of neuroactive ligand–receptor interaction, calcium signaling pathway, cancer pathway, viral carcinogenesis, Staphylococcus aureus infection, etc. The study also found that acupuncture may have additional benefits for COVID-19 patients with cancer, cardiovascular disease and obesity. Our study revealed for the first time the multiple synergistic mechanisms of acupuncture on COVID-19. Acupuncture may play an active role in the treatment of COVID-19 and deserves further promotion and application. These results may help to solve this pressing problem currently facing the world. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
3. Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method.
- Author
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Yang, Fan, Zhang, Shuaijie, Pan, Wei, Yao, Ruiyuan, Zhang, Weiguo, Zhang, Yanchun, Wang, Guoyin, Zhang, Qianghua, Cheng, Yunlong, Dong, Jihua, Ruan, Chunyang, Cui, Lizhen, Wu, Hao, and Xue, Fuzhong
- Subjects
COVID-19 ,DRUG repositioning ,COVID-19 treatment ,INVESTIGATIONAL drugs ,CLINICAL indications ,HERBAL medicine ,CHARTS, diagrams, etc. - Abstract
Background Coronavirus disease 2019 (COVID-19) has spurred a boom in uncovering repurposable existing drugs. Drug repurposing is a strategy for identifying new uses for approved or investigational drugs that are outside the scope of the original medical indication. Motivation Current works of drug repurposing for s evere a cute r espiratory s yndrome c or o na v irus 2 (SARS-CoV-2) are mostly limited to only focusing on chemical medicines, analysis of single drug targeting single SARS-CoV-2 protein, one-size-fits-all strategy using the same treatment (same drug) for different infected stages of SARS-CoV-2. To dilute these issues, we initially set the research focusing on herbal medicines. We then proposed a heterogeneous graph embedding method to signaled candidate repurposing herbs for each SARS-CoV-2 protein, and employed the variational graph convolutional network approach to recommend the precision herb combinations as the potential candidate treatments against the specific infected stage. Method We initially employed the virtual screening method to construct the 'Herb-Compound' and 'Compound-Protein' docking graph based on 480 herbal medicines, 12,735 associated chemical compounds and 24 SARS-CoV-2 proteins. Sequentially, the 'Herb-Compound-Protein' heterogeneous network was constructed by means of the metapath-based embedding approach. We then proposed the heterogeneous-information-network-based graph embedding method to generate the candidate ranking lists of herbs that target structural, nonstructural and accessory SARS-CoV-2 proteins, individually. To obtain precision synthetic effective treatments forvarious COVID-19 infected stages, we employed the variational graph convolutional network method to generate candidate herb combinations as the recommended therapeutic therapies. Results There were 24 ranking lists, each containing top-10 herbs, targeting 24 SARS-CoV-2 proteins correspondingly, and 20 herb combinations were generated as the candidate-specific treatment to target the four infected stages. The code and supplementary materials are freely available at https://github.com/fanyang-AI/TCM-COVID19. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
4. Bioinformatics/network topology analysis of acupuncture in the treatment of COVID-19: response to methodological issues.
- Author
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Zhao, Meidan, Wang, Pengqian, and Zhang, Kai
- Subjects
COVID-19 ,COVID-19 treatment ,ACUPUNCTURE ,GENE ontology ,BIOINFORMATICS ,TOPOLOGY - Abstract
Coronavirus disease 2019 (COVID-19) is a global pandemic and there is an urgent need to discover the therapy for COVID-19. In our original article, we first obtained the target proteins of acupuncture and related target genes of COVID-19 by searching English and Chinese databases, then Gene Ontology biological processes and enrichment analysis were performed on the overlapping targets of acupuncture with COVID-19. Moreover, the compound-target and compound-disease-target network was constructed. This is an innovative attempt to predict the potential benefits of acupuncture treatment for COVID-19. In this letter, we answered reader Zheng's comments. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
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