Medication Regularity for Chronic Renal Failure and Underlying Mechanism Based on Data Mining， Network Pharmacology， and Molecular Docking
10.13422/j.cnki.syfjx.20220319
- VernacularTitle:慢性肾功能衰竭用药规律及潜在机制分析
- Author:
Yi FU
1
;
Xin LI
1
;
Ying ZHU
1
;
Zhao-dong WU
2
;
Bang-ming CHEN
2
;
Yi FU
2
;
Yong-fang LIU
2
;
Meng SHU
2
Author Information
1. Hunan University of Chinese Medicine，Changsha 410007，China
2. Jiangxi Traditional Chinese Medicine（TCM） Nephropathy Clinical Research Center/Jiujiang Hospital of TCM，Jiujiang 332001，China
- Publication Type:Journal Article
- Keywords:
chronic renal failure;
medication regularity;
underlying mechanism;
data mining;
network pharmacology;
molecular docking
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2022;28(6):151-158
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo clarify the medication regularity of WU Zhao-dong，a famous chief physician in traditional Chinese medicine （TCM） of Jiangxi province， and investigate the potential mechanism of potential new prescriptions against chronic renal failure （CRF）. MethodThe outpatient prescriptions of WU Zhao-dong from July 2019 to July 2021 were collected. Data mining was carried out by using the Traditional Chinese Medicine Inheritance Auxiliary Platform （V 2.5） to analyze the medication frequency and drug association and obtain potential new prescriptions. The interaction between drug targets in new prescriptions was analyzed by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP），STRING，and Kyoto Encyclopedia of Genes and Genomes（KEGG）， followed by verification by molecular docking and experiments. ResultA total of 200 prescriptions were screened out， with 217 Chinese medicinal drugs involved， and eight new potential prescriptions were derived. To be specific， Prescription 1： Armeniacae Semen Amarum-Astragali Radix-Platycodonis Radix-Angelicae Sinensis Radix-Smilacis Glabrae Rhizoma-fried Atractylodis Macrocephalae Rhizoma， Prescription 2： Saposhnikoviae Radix-Schizonepetae Herba-Kochiae Fructus-Asteris Radix et Rhizoma-Menthae Haplocalycis Herba，Prescription 3：Armeniacae Semen Amarum-Asteris Radix et Rhizoma-Platycodonis Radix-Eriobotryae Folium-prepared Ephedrae Herba， Prescription 4：Perillae Caulis-Codonopsis Radix-Coptidis Rhizoma-Pseudostellariae Radix， Prescription 5：Ecliptae Herba-Astragali Radix Praeparata Cum Melle-Dryopteridis Crassirhizomatis Rhizoma-Rosae Laevigatae Fructus-Coicis Semen-Ligustri Lucidi Fructus， Prescription 6： Lycopi Herba-Lonice Raejaponicae Caulis-Trachelospermi Caulis et Folium-Alismatis Rhizoma， Prescription 7：Scutellariae Radix-Hirudo-Paeoniae Radix Rubra-Eriobotryae Folium-Glehniae Radix， Prescription 8：Glycyrrhizae Radix et Rhizoma-Scrophulariae Radix-Chrysanthemi Indici Flos-Smilacis Glabrae Rhizoma- Serissae Herba. In Prescription 1，18 main chemical components were screened out. Eighty targets of active components of Prescription 1 were predicted， and 37 potential targets for the treatment of CRF were obtained， including interleukin （IL）-6， vascular endothelial growth factor （VEGF）， cysteinyl aspartate-specific protease-3 （Caspase-3）， nitric oxide synthase 3 （NOS3）， and hypoxia-inducible factor-1 （HIF-1）. The KEGG pathways involved in the targets of Chinese medicinal drugs and disease mainly included the signaling pathways of lipid and atherosclerosis，NF-κB， Toll-like receptors， and HIF-1. Prescription 1 significantly decreased serum creatinine and urea nitrogen， and increased the content of NO and NOS3 in renal tissues of CRF rats. ConclusionPrescription 1 shows the multi-component and multi-target characteristics of action，and its mechanism may be related to its inhibition of renal fibrosis，anti-inflammation，improvement of intestinal microecology，and improvement of renal hypoxia and ischemia.
