Investigation of the Pathogenic Mechanism of Ciprofloxacin in Aortic Aneurysm and Dissection by an Integrated Proteomics and Network Pharmacology Strategy.
Zhaoran ChenJianqiang WuWei WangXiaoyue TangLei ZhouYanze LvYuehong ZhengPublished in: Journal of clinical medicine (2023)
Aortic aneurysm and dissection (AAD) is a life-threatening disease worldwide. Recently, fluoroquinolones have been reported to significantly increase the risk of AAD. This study aimed to investigate the potential functional mechanism and molecular targets of fluoroquinolones in relation to AAD by an integrated proteomic and network pharmacology strategy. A total of 1351 differentially expressed proteins were identified in human aortic vascular smooth muscle cells (VSMCs) after ciprofloxacin (CIP) stimulation. The functional analysis emphasized the important roles of metabolism, extracellular matrix homeostasis, mitochondrial damage, focal adhesion, and apoptosis in CIP-stimulated VSMCs. CIP targets were predicted with online databases and verified by molecular docking. Protein-protein interaction (PPI) analysis and module construction of the 34 potential CIP targets and 37 selected hub molecules after CIP stimulation identified four critical target proteins in the module: PARP1, RAC1, IGF1R and MKI67. Functional analysis of the PPI module showed that the MAPK signalling pathway, focal adhesion, apoptosis, regulation of actin cytoskeleton, and PI3K-Akt signalling pathway were significantly enriched. Our results will provide novel insights into the pathogenic mechanism of fluoroquinolones in aortic diseases.
Keyphrases
- pi k akt
- protein protein
- vascular smooth muscle cells
- aortic aneurysm
- cell cycle arrest
- oxidative stress
- molecular docking
- signaling pathway
- extracellular matrix
- small molecule
- pseudomonas aeruginosa
- cell proliferation
- angiotensin ii
- cell migration
- endothelial cells
- aortic valve
- endoplasmic reticulum stress
- left ventricular
- molecular dynamics simulations
- dna damage
- biofilm formation
- mass spectrometry
- social media
- pulmonary artery
- risk assessment
- escherichia coli
- induced pluripotent stem cells
- deep learning
- coronary artery
- aortic dissection
- label free
- candida albicans