Probing the antibacterial mechanism of Aloe vera based on network pharmacology and computational analysis

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Qian Tang , Jingle Chu , Peiqi Peng , Yinjie Zou , Yaguang Wu , Yuanqiang Wang
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引用次数: 0

Abstract

Bacterial resistance has emerged as a major clinical challenge globally. Natural products, such as Aloe vera, offer promising antimicrobial potential due to their diverse active components. However, the explicit molecular mechanisms remain unknown. In this study, we employed a multidisciplinary approach integrating network pharmacology, molecular docking, and molecular dynamics simulation to explore the antibacterial mechanism of Aloe vera. We screened the eight major active components of Aloe vera and their targets using multi-source bioinformatics platforms, identifying 55 targets closely associated with the antibacterial effects of Aloe vera. Protein-protein interaction network analysis, revealed potential crucial targets, including cysteine-aspartic acid protease-3 (CASP3) and matrix metalloproteinase-9 (MMP-9). Gene ontology functional enrichment analysis revealed that these targets play critical roles in several essential biological processes, such as “response to xenobiotic stimulus”, “positive regulation of gene expression”, and “collagen catabolism”. The Kyoto Encyclopedia of Genes and Genomes signal pathway analysis indicated that these targets are primarily involved in pathways associated with cancer, lipid metabolism, atherosclerosis, and the AGE/RAGE signaling pathway in diabetes. This finding suggests that Aloe vera may exert its antibacterial effects by regulating the host's immune response and metabolism. Molecular docking and molecular dynamics simulations demonstrated that active ingredients of Aloe vera, such as quercetin and aloe-emodin, can form stable complexes with CASP3 and MMP-9, exhibiting vigorous binding affinity to the active sites of the target. Further antibacterial activity assays and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analysis demonstrated that aloe-emodin exerts antibacterial effects against gram-positive bacteria and inhibits the expression of the MMP-9 gene. This study provided insight into the antibacterial mechanisms of Aloe vera, highlighting MMP-9 as a key target. These findings lay a foundation for further studies on natural antibacterial agents.

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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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