Anti-fatigue Analysis of Common Mechanisms of Interaction of Ginseng Radix et Rhizoma "Tonifying Qi" and Notoginseng Radix et Rhizoma "Enriching Blood"
Pharmacology|更新时间:2020-08-11
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Anti-fatigue Analysis of Common Mechanisms of Interaction of Ginseng Radix et Rhizoma "Tonifying Qi" and Notoginseng Radix et Rhizoma "Enriching Blood"
Chinese Journal of Experimental Traditional Medical FormulaeVol. 26, Issue 15, Pages: 81-89(2020)
LIN Zi-xuan,LIU Fei-xiang,ZHAO Yu-nan,et al.Anti-fatigue Analysis of Common Mechanisms of Interaction of Ginseng Radix et Rhizoma "Tonifying Qi" and Notoginseng Radix et Rhizoma "Enriching Blood"[J].Chinese Journal of Experimental Traditional Medical Formulae,2020,26(15):81-89.
LIN Zi-xuan,LIU Fei-xiang,ZHAO Yu-nan,et al.Anti-fatigue Analysis of Common Mechanisms of Interaction of Ginseng Radix et Rhizoma "Tonifying Qi" and Notoginseng Radix et Rhizoma "Enriching Blood"[J].Chinese Journal of Experimental Traditional Medical Formulae,2020,26(15):81-89. DOI: 10.13422/j.cnki.syfjx.20201540.
Anti-fatigue Analysis of Common Mechanisms of Interaction of Ginseng Radix et Rhizoma "Tonifying Qi" and Notoginseng Radix et Rhizoma "Enriching Blood"
To analyze the common active ingredients, potential target genes and pathways of Ginseng Radix et Rhizoma "Tonifying Qi" and Notoginseng Radix et Rhizoma "Enriching blood" in alleviating fatigue based on the network pharmacology technology. And the compound ingredients of total Ginsenoside Ginseng Root and Notoginseng total Saponins were selected to verify the core target genes
in vitro
.
Method
2
The main active ingredients and related targets of Ginseng Radix et Rhizoma and Notoginseng Radix et Rhizoma were screened by traditional Chinese medicine systems pharmacology (TCMSP). The data of fatigue genes were established by GeneCards comprehensive database and Human Mendelian Genetic Integrated Database(OMIM). Depending, The data sets of fatigue-related genes are established based on the data bank of GeneCards and OMIM. The intersecting genes of drugs and disease were obtained by R software. Cytoscape software was used to establish the regulatory network among the active ingredients, drug targets and fatigue-related genes. PPI network of intersecting genes was constructed by STRING 11.0 software, and the core genes were screened by CytoHubba software and Matthews correlation coefficient (MCC) algorithm. Based on the results of network analysis, 24 male SPF ACR mice were randomly divided into control group, total Ginsenoside Ginseng Root group (0.08 g·kg
-1
) and Notoginseng total Saponins group (0.08 g·kg
-1
). The corresponding drugs were given for 3 weeks. The expressions of core genes in muscle tissue were detected by real-time fluorescence quantitative PCR.
Result
2
The 20 active components and 181 drug targets were screened from TCMSP. 33 intersecting genes of diseases and drugs were obtained when compared with GeneCards and OMIM comprehensive database using R software. 10 core genes including aryl hydrocarbon receptor (AHR), androgen receptor (AR), glutathione S-transferase P1 (GSTP1), cysteine proteinase-3(Caspase-3), cytochrome p450 enzyme 3A4 (CYP3A4), intercellular adhesion molecule 1 (ICAM1) and nuclear factor kappa B inhibitor alpha (NFKBIA) were screened out by the algorithm of MCC. Total Ginsenoside Ginseng Root and Notoginseng total Saponins had no significant effect on GSTP1 and ICAM1 genes, but they could significantly inhibit the expressions of AHR, CYP3A4, Caspase-3, NFKBIA and AR (
P
<
0.05,
P
<
0.01), and there were no significant difference in anti-fatigue effect between total Ginsenoside Ginseng Root and Notoginseng total Saponins groups.
Conclusion
2
The mechanism of anti-fatigue of Ginseng Radix et Rhizoma and Notoginseng Radix et Rhizoma may be related to the regulation of AHR, CYP3A4 and Caspase-3 genes, and there is no significant difference in their anti-fatigue effects, through the analysis of network and experimental verification.
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