Evidence map›Paper›PMID 39565454›Full record

ArticleMetabolic brain disease2024

Exploring the potential anti-diabetic peripheral neuropathy mechanisms of Huangqi Guizhi Wuwu Decoction by network pharmacology and molecular docking.

Xueying Zhang, Guangcheng Zhong, Chen Jiang, Xiaojun Ha, Qingjiang Yang, Haike Wu

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Article in Metabolic brain disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xueying ZhangThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, China.
Guangcheng ZhongScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Chen JiangThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, China.
Xiaojun HaThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, China.
Qingjiang YangThe Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, China.
Haike WuDepartment of Neurology, Foshan Hospital of Traditional Chinese Medicine, Foshan, China. 910276270@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic peripheral neuropathy (DPN) is the most prevalent microvascular complication of diabetes and Huangqi Guizhi Wuwu Decoction (HGWD) is frequently employed in classical Chinese medicine for treating DPN. This study aims to investigate the potential therapeutic targets and mechanisms of HGWD for treating DPN using network pharmacology and molecular docking methodologies. The intersection targets of DPN and HGWD were retrieved from the databases, with the resulting intersection targets being imported into the STRING database to construct the protein-protein interaction (PPI) network. Cytoscape 3.9.1 was used to screen the core targets and plot the herb-active ingredient-target (H-A-T) network. To identify the pivotal signaling pathways, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on intersection targets. Molecular docking was subsequently conducted with AutoDock Vina to validate the binding energy between the core active ingredients and the core targets. 91 potential targets of HGWD were identified for the treatment of DPN. Topological analysis revealed core targets, including AKT1, TNF, PPARG, NFKB1, TP53, STAT3, PTGS2, HIF1A, ESR1, and GSK3B, alongside core active ingredients such as protoporphyrin, jaranol, kaempferol, quercetin, and isorhamnetin. GO and KEGG analyses indicated that PI3K/AKT, HIF-1, and AGE/RAGE signaling pathways could be crucial in treating DPN using HGWD. Furthermore, molecular docking results demonstrated robust binding activities between the active ingredients in HGWD and the identified core targets. The above results indicated that HGWD may exerting an anti-DPN effect by modulating the PI3K/AKT, HIF-1, and AGE/RAGE signaling pathways.

Indexed as

Diabetic NeuropathiesDrugs, Chinese HerbalMolecular Docking SimulationNetwork PharmacologyProtein Interaction MapsHumansSignal TransductionDrugs, Chinese Herbalhuangqi decoctionDiabetic peripheral neuropathyHuangqi Guizhi Wuwu DecoctionMolecular dockingNetwork pharmacologyTraditional Chinese medicine

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.