Gallate Moiety of Catechin Is Essential for Inhibiting CCL2 Chemokine-Mediated Monocyte Recruitment.
Deepak Kumar TripathiNupur NagarViney KumarNidhi JoshiPartha RoyKrishna Mohan PoluriPublished in: Journal of agricultural and food chemistry (2023)
Leukocyte recruitment witnesses an orchestrated complex formation between the chemokines and their molecular partners. CCL2 chemokine that regulates monocyte trafficking is a worthwhile system from the pharmaceutical perspective. In the current study, four major catechins (EC/EGC/ECG/EGCG) were assessed for their inhibitory potential against CCL2-regulated monocyte/macrophage recruitment. Interestingly, catechins with the gallate moiety (ECG/EGCG) could only attenuate the CCL2-induced macrophage migration. These molecules specifically bound to CCL2 on a pocket comprising the N-terminal, β 0 -sheets, and β 3 -sheets, and the binding affinity of ECGC ( K d = 22 ± 4 μM) is ∼4 times higher than that of the ECG complex ( K d = 85 ± 6 μM). MD simulation analysis evidenced that the molecular specificity/stability of CCL2-catechin complexes is regulated by multiple factors, including stereospecificity, number of hydroxyl groups on the annular ring-B, the positioning of the carbonyl group, and the methylation of the galloyl ring. Further, a significant overlap on the binding surface of CCL2 for EGCG/ECG and receptor interactions as evidenced from NMR data provided the rationale for the observed inhibition of macrophage migration in response to EGCG/ECG binding. In summary, these galloylated epicatechins can be considered as potent protein-protein interaction (PPI) inhibitors that regulate CCL2-directed leukocyte recruitment for resolving inflammatory/immunomodulatory disorders.
Keyphrases
- liver fibrosis
- liver injury
- drug induced
- heart rate variability
- protein protein
- heart rate
- dendritic cells
- peripheral blood
- adipose tissue
- endothelial cells
- small molecule
- binding protein
- high resolution
- gene expression
- artificial intelligence
- immune response
- molecular dynamics
- human immunodeficiency virus
- genome wide
- machine learning
- data analysis
- solid state