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International Journal of Frontiers in Medicine, 2023, 5(12); doi: 10.25236/IJFM.2023.051205.

Exploration on the Clinical Medication Pattern and Mechanism of Psoriasis Vulgaris Based on Data Mining and Network Pharmacology

Author(s)

Fu Mingshan1, Li Wenbin2, Xie Jiayi3, Li Yanni2

Corresponding Author:
Li Wenbin
Affiliation(s)

1Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, 712046, China

2Shaanxi Provincial Hospital of Chinese Medicine, Xi'an, Shaanxi, 710003, China

3Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, Zhejiang, 310053, China

Abstract

In order to explore the clinical medication law and mechanism of unusual psoriasis based on data mining and network pharmacology. We collected and screened the prescription data of Shaanxi Traditional Chinese Medicine Hospital Skin Disease Hospital Specialized Clinic patients with psoriasis vulgaris from 1 September 2022 to 1 March 2023, and entered them into Excel software to establish a standardised case database of psoriasis vulgaris by two persons alternately, and then carried out the drug association rule analysis on the case data by using the Chinese medicine inheritance computing platform (V3.0) and IBM SPSS Modeler 18.0 to obtain the core drugs and construct a network of "disease-core drug-component-target", and then analyse the core drugs and the drug association rules. We constructed a "disease-core drug-component-target" network and analysed the protein interaction network and enrichment of intersecting targets. Resultsly, 189 prescriptions and 134 flavours of traditional Chinese medicines were obtained through screening, with a cumulative frequency of 3020 times, of which 38 flavours were used ≥20 times; The analysis of drug-association rules (support degree of the Apriori algorithm ≥65%, confidence degree ≥85%) showed that the core medicines had the same effect as the core medicines ≥85%) showed that the core drug Lonicera japonica-Lianqiao-Angelica sinensis-Paeonia lactiflora- Glycyrrhiza glabra medicinal group had a high degree of support. After excluding licorice, the core drug was subjected to network pharmacological analysis of the core drug components. A total of 192 active ingredients of the core drug components were associated with the disease targets of psoriasis vulgaris. Then GO enrichment analysis and KEGG pathway enrichment analysis were performed. In conclusion, according to the psoriasis clinic based on the database to obtain the key active ingredients and main targets of the drugs, it was found that the core group of drugs may alleviate the clinical symptoms of psoriasis by inhibiting the pro-inflammatory pathway and restricting the function of intracellular nuclear factors. It is of reference value for the study of the law of medication and mechanism for the prevention and treatment of psoriasis of the common type of traditional Chinese medicine.

Keywords

Data mining; cyberpharmacology; psoriasis vulgaris; medication patterns; mechanism study

Cite This Paper

Fu Mingshan, Li Wenbin, Xie Jiayi, Li Yanni. Exploration on the Clinical Medication Pattern and Mechanism of Psoriasis Vulgaris Based on Data Mining and Network Pharmacology. International Journal of Frontiers in Medicine (2023), Vol. 5, Issue 12: 25-35. https://doi.org/10.25236/IJFM.2023.051205.

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