scholarly journals Bidirectional Benign Regulation of Acupuncture in the Treatment of Stroke

2021 ◽  
Vol 5 (6) ◽  
pp. 78-82
Author(s):  
Long He ◽  
Honglong Wu ◽  
Anlai Liu ◽  
Meikui Zhang

Acupuncture is a traditional Chinese medicine therapy originated in China. In recent years, acupuncture is widely used in the field of neurological diseases, especially in the acute stage of stroke. Its mechanism of action is becoming clearer; one of the possible mechanisms is its bidirectional benign regulation.

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Zefeng Wang ◽  
Haitong Wan ◽  
Jinhui Li ◽  
Hong Zhang ◽  
Mei Tian

With the speeding tendency of aging society, human neurological disorders have posed an ever increasing threat to public health care. Human neurological diseases include ischemic brain injury, Alzheimer’s disease, Parkinson’s disease, and spinal cord injury, which are induced by impairment or specific degeneration of different types of neurons in central nervous system. Currently, there are no more effective treatments against these diseases. Traditional Chinese medicine (TCM) is focused on, which can provide new strategies for the therapy in neurological disorders. TCM, including Chinese herb medicine, acupuncture, and other nonmedication therapies, has its unique therapies in treating neurological diseases. In order to improve the treatment of these disorders by optimizing strategies using TCM and evaluate the therapeutic effects, we have summarized molecular imaging, a new promising technology, to assess noninvasively disease specific in cellular and molecular levels of living models in vivo, that was applied in TCM therapy for neurological diseases. In this review, we mainly focus on applying diverse molecular imaging methodologies in different TCM therapies and monitoring neurological disease, and unveiling the mysteries of TCM.


Medicine ◽  
2020 ◽  
Vol 99 (34) ◽  
pp. e21770
Author(s):  
Qianxiang Dai ◽  
Hang Yan ◽  
Xiaoping Wu ◽  
Yuan Liu ◽  
Fei Huang ◽  
...  

2021 ◽  
Author(s):  
qiu tiantian ◽  
Li DongHua ◽  
Liu Yu ◽  
Gao LiFang ◽  
Wei Chao ◽  
...  

Abstract Backgroud: Uterine fibroids (ULs) are the most common benign tumors of the reproductive tract in gynecology and their clinical presentations include menorrhagia, pelvic pressure, dysmenorrhea, and anemia. Surgical resection and the hormonal drug administration are the primary treatment. The plant Astragalus membranaceus (astragalus) has a long history of use in traditional Chinese medicine and studies have shown that it has antitumor effects. However, the role and mechanism of astragalus in ULs are not completely clear. The present study aimed to investigate the astragalus mechanism of action against ULs based on network pharmacology approach, in order to provid insights for the development of a safe and effective drug for the ULs treatment.Methods: The astragalus active ingredients and the potential drug targets were screened by the Traditional Chinese Medicine System Pharmacology Database and Analytical Platform (TCMSP). The gene expression profiles of ULs were obtained from Gene Expression Omnibus (GEO). The intersection of astragalus components target genes and differentially expressed genes between UL and normal patients were obtained using Perl software to provide the astragalus-ULs drug regulatory network. The protein–protein interaction (PPI) network was established using the STRING online database and Cytoscape software, followed by the topological properties analysis of the PPI networks. GO (Gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analyses were conducted by R software. The KEGG relational network was constructed using Cytoscape software. Results: A total of 21 astragalus active ingredients and 406 drug targets were obtained from the TCMSP. Seventeen of these targets overlap with ULs disease targets and were considered potential targets for the ULs treatment by astragalus. The analysis of the regulatory network showed that the astragalus active components with the most targets are quercetin, kaempferol, mangiferin, tetrodotoxin and isorhamnetin. Target genes with the highest Dgree values obtained from the PPI network analysis are estrogen receptor 1 (ESR1), tumor suppressor factor p53 (TP53), neurotrophic tyrosine kinase receptor 1 (NTRK1) and E3 ubiquitin ligase protein (CUL3). GO and KEGG enrichment analyses indicate that these targets are mainly involved in biological processes related to cellular response to reactive oxygen species, oxidative stress and response to lipopolysaccharides. The main signal transduction pathways involved include the IL-17 and TNF signaling pathways, the AGE-RAGE signaling pathway in diabetic complications and proteoglycans in cancer.Conclusions: The present study demonstrates that the astragalus therapeutic use against ULs have multicomponent and multi-target properties, providing a novel approach to further investigate the astragalus mechanism of action in the treatment of ULs.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xiao-jun Gou ◽  
Shanshan Gao ◽  
Liang Chen ◽  
Qin Feng ◽  
Yi-yang Hu

Qushi Huayu Decoction (QHD), an important clinically proved herbal formula, has been reported to be effective in treating fatty liver induced by high-fat diet in rats. However, the mechanism of action has not been clarified at the metabolic level. In this study, a urinary metabolomic method based on gas chromatography-mass spectrometry (GC-MS) coupled with pattern recognition analysis was performed in three groups (control, model, and QHD group), to explore the effect of QHD on fatty liver and its mechanism of action. There was obvious separation between the model group and control group, and the QHD group showed a tendency of recovering to the control group in metabolic profiles. Twelve candidate biomarkers were identified and used to explore the possible mechanism. Then, a pathway analysis was performed using MetaboAnalyst 3.0 to illustrate the pathways of therapeutic action of QHD. QHD reversed the urinary metabolite abnormalities (tryptophan, uridine, and phenylalanine, etc.). Fatty liver might be prevented by QHD through regulating the dysfunctions of phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and tryptophan metabolism. This work demonstrated that metabolomics might be helpful for understanding the mechanism of action of traditional Chinese medicine for future clinical evaluation.


2020 ◽  
Vol 23 (1) ◽  
pp. 28-40
Author(s):  
Jia Li ◽  
Xinchang Qi ◽  
Yajuan Sun ◽  
Yingyu Zhang ◽  
Jiajun Chen

Aim and Objective: Effective components and the mechanism of action of Zhichan powder for the treatment of Parkinson's disease were researched at a systematic level. Materials and Methods: Screening of active components in Zhichan powder for the treatment of Parkinson's disease was conducted using the Traditional Chinese Medicine Systems Pharmacology database, and a medicine-target-disease network was established with computational network pharmacology. Results: By using network pharmacology methods, we identified 18 major active components in Zhichan powder through screening, indicating a connection between chemical components of this Traditional Chinese Medicine and Parkinson’s disease-related targets. Conclusion: The medicine-target-disease system of Zhichan powder established by network pharmacology permitted visualization of clustering and differences among chemical components in this prescription, as well as the complex mechanism of molecular activities among those effective components, relevant targets, pathways, and the disease. Thus, our results provide a new perspective and method for revealing the mechanism of action of Traditional Chinese Medicine prescriptions.


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