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Volume 17, Issue 1
  • ISSN: 1874-4672
  • E-ISSN: 1874-4702
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Abstract

Background

Clinically, abdominal aortic aneurysms (AAA) can be treated with surgical intervention, but there is currently no effective drug for the disease.

Methods

This study analyzed the biomedical data of single-cell RNA sequencing (scRNA-seq), RNA-seq and the network medical data of drug-target interaction as well as protein-protein interaction to identify key targets and potential drug compounds of AAA.

Results

Firstly, we identified 10 types of cells from AAA and nonaneurysmal control samples and screened monocyte, mast cell, smooth muscle cell and 327 genes showing significant differences between non-dilated PVATs and dilated PVATs. To further explore the association of three types of cells in AAA, we screened the common DEGs associated with the three types of cells and then identified 10 potential therapeutic targets for AAA. SLC2A3 and IER3 were the key targets that were the most closely related to immune score and significantly related to inflammatory pathways. We then designed a network-based proximity measure to identify potential drugs targeting SLC2A3. Finally, with computer simulation, we found that the compound with the highest affinity to SLC2A3 protein was DB08213, which was embedded into the SLC2A3 protein cavity and formed close contact with various amino acid residues, and was stable during the 100-ns MD simulation.

Conclusion

This study provided a computational framework for drug design and development. It revealed key targets and potential therapeutic drug compounds for AAA, which might contribute to the drug development for AAA.

© 2024 The Author(s). Published by Bentham Science Publisher.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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2023-06-06
2024-11-24

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A Network Medical Framework based on Inflammatory Genes to Identify Drug Candidates for Abdominal Aortic Aneurysms
Curr Mol Pharmacol 17, CMP-17-E170523216998 (2024); https://doi.org/10.2174/1874467217666230517104426
/content/journals/cmp/10.2174/1874467217666230517104426
/content/journals/cmp/10.2174/1874467217666230517104426
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  • Article Type:     Research Article
Keyword(s): Abdominal aortic aneurysm; Drug reuse; Inflammatory genes; Molecular docking; Network-based proximity; Therapeutic targets

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