An Overview of Frog Skin-Derived Esc Peptides: Promising Multifunctional Weapons against Pseudomonas aeruginosa -Induced Pulmonary and Ocular Surface Infections.
Maria Luisa MangoniMaria Rosa LoffredoBruno CasciaroLoretta FerreraFloriana CappielloPublished in: International journal of molecular sciences (2024)
Antimicrobial resistance is a silent pandemic harming human health, and Pseudomonas aeruginosa is the most common bacterium responsible for chronic pulmonary and eye infections. Antimicrobial peptides (AMPs) represent promising alternatives to conventional antibiotics. In this review, the in vitro/in vivo activities of the frog skin-derived AMP Esc(1-21) are shown. Esc(1-21) rapidly kills both the planktonic and sessile forms of P. aeruginosa and stimulates migration of epithelial cells, likely favoring repair of damaged tissue. However, to undertake preclinical studies, some drawbacks of AMPs (cytotoxicity, poor biostability, and limited delivery to the target site) must be overcome. For this purpose, the stereochemistry of two amino acids of Esc(1-21) was changed to obtain the diastereomer Esc(1-21)-1c, which is more stable, less cytotoxic, and more efficient in treating P. aeruginosa -induced lung and cornea infections in mouse models. Incorporation of these peptides (Esc peptides) into nanoparticles or immobilization to a medical device (contact lens) was revealed to be an effective strategy to ameliorate and/or to prolong the peptides' antimicrobial efficacy. Overall, these data make Esc peptides encouraging candidates for novel multifunctional drugs to treat lung pathology especially in patients with cystic fibrosis and eye dysfunctions, characterized by both tissue injury and bacterial infection.
Keyphrases
- risk assessment
- human health
- amino acid
- pseudomonas aeruginosa
- antimicrobial resistance
- pulmonary hypertension
- drug delivery
- end stage renal disease
- cystic fibrosis
- high glucose
- drug induced
- diabetic rats
- sars cov
- chronic kidney disease
- ejection fraction
- mouse model
- coronavirus disease
- stem cells
- newly diagnosed
- soft tissue
- single cell
- staphylococcus aureus
- cancer therapy
- escherichia coli
- big data
- oxidative stress
- acinetobacter baumannii
- mesenchymal stem cells
- peritoneal dialysis
- climate change
- wound healing
- deep learning
- data analysis
- stress induced
- magnetic nanoparticles