Medication rules and mechanisms of treating chronic renal failure by Jinling medical school based on data mining, network pharmacology, and experimental validation.
10.19540/j.cnki.cjcmm.20241111.704
- Author:
Jin-Long WANG
1
;
Wei WU
2
;
Yi-Gang WAN
3
;
Qi-Jun FANG
2
;
Yu WANG
3
;
Ya-Jing LI
3
;
Fee-Lan CHONG
4
;
Sen-Lin MU
5
;
Chu-Bo HUANG
6
;
Huang HUANG
6
Author Information
1. Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital, Nanjing University of Chinese Medicine Nanjing 210008, China Department of Nephrology, Xuzhou City Hospital of Traditional Chinese Medicine Xuzhou 221000, China.
2. Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University Nanjing 210008, China.
3. Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital, Nanjing University of Chinese Medicine Nanjing 210008, China Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University Nanjing 210008, China Institute of Chinese Medicine, Nanjing University Nanjing 210008, China.
4. the School of Pharmacy, Management and Science University Shah Alam 40100, Malaysia.
5. Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital, Nanjing University of Chinese Medicine Nanjing 210008, China.
6. International Jingfang Institute, Nanjing University of Chinese Medicine Nanjing 210029, China.
- Publication Type:Journal Article
- Keywords:
Jinling medical school;
chronic renal failure;
data mining;
mitochondrial autophagy;
network pharmacology
- MeSH:
Data Mining;
Drugs, Chinese Herbal/chemistry*;
Network Pharmacology;
Humans;
Kidney Failure, Chronic/metabolism*;
Medicine, Chinese Traditional;
China
- From:
China Journal of Chinese Materia Medica
2025;50(6):1637-1649
- CountryChina
- Language:Chinese
-
Abstract:
This study aims to explore the medication rules and mechanisms of treating chronic renal failure(CRF) by Jinling medical school based on data mining, network pharmacology, and experimental validation systematically and deeply. Firstly, the study selected the papers published by the inherited clinicians in Jinling medical school in Chinese journals using the subject headings named "traditional Chinese medicine(TCM) + chronic renal failure", "TCM + chronic renal inefficiency", or "TCM + consumptive disease" in China National Knowledge Infrastructure, Wanfang, and VIP Chinese Science and Technology Periodical Database and screened TCM formulas for treating CRF according to inclusion and exclusion criteria. The study analyzed the frequency of use of single TCM and the four properties, five tastes, channel tropism, and efficacy of TCM used with high frequency and performed association rule and clustering analysis, respectively. As a result, a total of 215 TCM formulas and 235 different single TCM were screened, respectively. The TCM used with high frequency included Astragali Radix, Rhei Radix et Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Poria, and Atractylodis Macrocephalae Rhizoma(top 5). The single TCM characterized by "cold properties, sweet flavor, and restoring spleen channel" and the TCM with the efficacy of tonifying deficiency had the highest frequency of use, respectively. Then, the TCM with the rules of "blood-activating and stasis-removing" and "diuretic and dampness-penetrating" appeared. In addition, the core combination of TCM [(Hexin Formula, HXF)] included "Astragali Radix, Rhei Radix et Rhizoma, Poria, Salviae Miltiorrhizae Radix, and Angelicae Sinensis Radix". The network pharmacology analysis showed that HXF had 91 active compounds and 250 corresponding protein targets including prostaglandin-endoperoxide synthase 2(PTGS2), PTGS1, sodium voltage-gated channel alpha subunit 5(SCN5A), cholinergic receptor muscarinic 1(CHRM1), and heat shock protein 90 alpha family class A member 1(HSP90AA1)(top 5). Gene Ontology(GO) function analysis revealed that the core targets of HXF predominantly affected biological processes, cellular components, and molecular functions such as positive regulation of transcription by ribonucleic acid polymerase Ⅱ and DNA template transcription, formation of cytosol, nucleus, and plasma membrane, and identical protein binding and enzyme binding. Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis revealed that CRF-related genes were involved in a variety of signaling pathways and cellular metabolic pathways, primarily involving "phosphatidylinositol 3-kinase(PI3K)-protein kinase B(Akt) pathway" and "advanced glycation end products-receptor for advanced glycation end products". Molecular docking results showed that the active components in HXF such as isomucronulatol 7-O-glucoside, betulinic acid, sitosterol, and przewaquinone B might be crucial in the treatment of CRF. Finally, a modified rat model with renal failure induced by adenine was used, and the in vivo experimental confirmation was performed based on the above-mentioned predictions. The results verify that HXF can regulate mitochondrial autophagy in the kidneys and the PI3K-Akt-mammalian target of rapamycin(mTOR) signaling pathway activation at upstream, so as to alleviate renal tubulointerstitial fibrosis and then delay the progression of CRF.
