1. A potential peptide derived from cytokine receptors can bind proinflammatory cytokines as a therapeutic strategy for anti-inflammation.
- Author
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Jiang SJ, Tsai PI, Peng SY, Chang CC, Chung Y, Tsao HH, Huang HT, Chen SY, and Hsu HJ
- Subjects
- Humans, Interleukin-1beta metabolism, Interleukin-1beta pharmacology, Interleukin-6 metabolism, Interleukin-6 pharmacology, Protein Binding, THP-1 Cells, Tumor Necrosis Factor-alpha metabolism, Tumor Necrosis Factor-alpha pharmacology, Inflammation drug therapy, Inflammation metabolism, Peptides chemistry, Peptides therapeutic use, Receptors, Cytokine chemistry
- Abstract
Chronic inflammation is a pivotal event in the pathogenesis of cardiovascular diseases, including atherosclerosis, restenosis, and coronary artery disease. The efficacy of current treatment or preventive strategies for such inflammation is still inadequate. Thus, new anti-inflammatory strategies are needed. In this study, based on molecular docking and structural analysis, a potential peptide KCF18 with amphiphilic properties (positively charged and hydrophobic residues) derived from the receptors of proinflammatory cytokines was designed to inhibit cytokine-induced inflammatory response. Simulations suggested that KCF18 could bind to cytokines simultaneously, and electrostatic interactions were dominant. Surface plasmon resonance detection showed that KCF18 bound to both tumor necrosis factor-α (TNF-α) and interleukin-6, which is consistent with MM/PBSA binding free energy calculations. The cell experiments showed that KCF18 significantly reduced the binding of proinflammatory cytokines to their cognate receptors, suppressed TNF-α mRNA expression and monocyte binding and transmigration, and alleviated the infiltration of white blood cells in a peritonitis mouse model. The designed peptide KCF18 could remarkably diminish the risk of vascular inflammation by decreasing plasma cytokines release and by directly acting on the vascular endothelium. This study demonstrated that a combination of structure-based in silico design calculations, together with experimental measurements can be used to develop potential anti-inflammatory agents.
- Published
- 2019
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