Comprehensive Hyperuricemia Therapeutic Targets

The keywords “hyperuricemia” and “hyperuricaemia” were used to collect HUA-related targets through the OMIM database, GeneCards database, TTD database, DisGeNET database, and DrugBank database. We received an ethics committee waiver for using these five databases from the Medical and Animal Experiment Ethics Committee of Beijing University of Chinese Medicine. After deduplication/integration of data, crossover genes were obtained and considered as therapeutic targets relevant to HUA. The common targets of WLS for the treatment of HUA were generated by the Venn diagram. Moreover, a herb-compound-target-disease network was constructed by Cytoscape 3.9.0.

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Huang J., Lin Z., Wang Y., Ding X, & Zhang B. (2023). Wuling San Based on Network Pharmacology and in vivo Evidence Against Hyperuricemia via Improving Oxidative Stress and Inhibiting Inflammation. Drug Design, Development and Therapy, 17, 675-690.

Publication 2023

Chinese Ethics committee Genes Hyperuricaemia Medicine

Corresponding Organization : Beijing University of Chinese Medicine

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Variable analysis

independent variables

Keywords used to collect HUA-related targets: 'hyperuricemia' and 'hyperuricaemia'

dependent variables

Therapeutic targets relevant to HUA
Common targets of WLS for the treatment of HUA
Herb-compound-target-disease network

control variables

Ethics committee waiver for using the five databases (OMIM, GeneCards, TTD, DisGeNET, and DrugBank)

controls

Positive control: Not specified
Negative control: Not specified

Annotations

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