Evidence map›Paper›PMID 41150817›Full record

ArticleCurrent issues in molecular biology2025

Ethacridine Targets Bacterial Biofilms in Diabetic Foot Ulcers: A Multi-Target Mechanism Revealed by Network Pharmacology, Molecular Docking, Molecular Dynamics Simulation, and Clinical RT-qPCR Validation.

Tianbo Li, Yuming Zhuang, Jiangning Wang, Lei Gao

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Article in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tianbo LiPlastic Surgery Department, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing 100038, China.ORCID 0009-0006-1882-4157
Yuming ZhuangSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100000, China.
Jiangning WangPlastic Surgery Department, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing 100038, China.
Lei GaoPlastic Surgery Department, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing 100038, China.ORCID 0000-0003-1009-9529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to systematically investigate the potential antibacterial mechanisms of ethacridine in the treatment of diabetic foot ulcers (DFUs) by integrating network pharmacology, molecular docking, and molecular dynamics simulation approaches.

methodsThe potential targets of ethacridine were predicted using the SwissTargetPrediction and PharmMapper databases and subsequently converted to gene symbols via the UniProt database. DFU-related and antibacterial-related targets were retrieved from the GeneCards and OMIM databases. The overlapping targets among ethacridine, DFU, and antibacterial-related genes were identified as candidate therapeutic targets. A "drug-disease-target" network was constructed using Cytoscape, while protein-protein interaction (PPI) networks were built through the STRING database. GO and KEGG enrichment analyses were performed using R software. Molecular docking was conducted to evaluate the binding affinities between core compounds and hub targets. Furthermore, molecular dynamics (MD) simulation was applied to assess the binding stability of the top-ranked compound-target complex. Finally, RT-qPCR was conducted on wound edge tissue samples from DFU patients treated with ethacridine to experimentally validate the mRNA expression of predicted hub genes.

resultsA total of 302 potential ethacridine-related targets, 4264 DFU-related targets, and 1942 antibacterial-related targets were identified. Intersection analysis revealed 105 common targets potentially involved in the antibacterial effects of ethacridine against DFU. PPI network analysis highlighted 10 hub targets, including

conclusionEthacridine may exert antibacterial effects against bacterial biofilms in DFU through multi-target and multi-pathway mechanisms. These findings highlight ethacridine's translational potential as a safe, readily available, and mechanistically validated topical agent for the clinical management of biofilm-associated diabetic foot infections.

Indexed as

antibacterialdiabetic foot ulcersethacridinemolecular dockingmolecular dynamics simulationnetwork pharmacology

Identifiers

PMID41150817
PMCPMC12563562

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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 Socratic graph.