| Literature DB >> 35889455 |
Denise Bellotti1,2, Maurizio Remelli3.
Abstract
The emergence of antimicrobial-resistant infections is still a major concern for public health worldwide. The number of pathogenic microorganisms capable of resisting common therapeutic treatments are constantly increasing, highlighting the need of innovative and more effective drugs. This phenomenon is strictly connected to the rapid metabolism of microorganisms: due to the huge number of mutations that can occur in a relatively short time, a colony can "adapt" to the pharmacological treatment with the evolution of new resistant species. However, the shortage of available antimicrobial drugs in clinical use is also caused by the high costs involved in developing and marketing new drugs without an adequate guarantee of an economic return; therefore, the pharmaceutical companies have reduced their investments in this area. The use of antimicrobial peptides (AMPs) represents a promising strategy for the design of new therapeutic agents. AMPs act as immune defense mediators of the host organism and show a poor ability to induce antimicrobial resistance, coupled with other advantages such as a broad spectrum of activity, not excessive synthetic costs and low toxicity of both the peptide itself and its own metabolites. It is also important to underline that many antimicrobial peptides, due to their inclination to attack cell membranes, have additional biological activities, such as, for example, as anti-cancer drugs. Unfortunately, they usually undergo rapid degradation by proteolytic enzymes and are characterized by poor bioavailability, preventing their extensive clinical use and landing on the pharmaceutical market. This review is focused on the strength and weak points of antimicrobial peptides as therapeutic agents. We give an overview on the AMPs already employed in clinical practice, which are examples of successful strategies aimed at overcoming the main drawbacks of peptide-based drugs. The review deepens the most promising strategies to design modified antimicrobial peptides with higher proteolytic stability with the purpose of giving a comprehensive summary of the commonly employed approaches to evaluate and optimize the peptide potentialities.Entities:
Keywords: AMP; antibiotic resistance; antimicrobial peptides; host defence peptides; peptidomimetics
Mesh:
Substances:
Year: 2022 PMID: 35889455 PMCID: PMC9317528 DOI: 10.3390/molecules27144584
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.927
Figure 1Published research paper reported in the Web of Science (https://www.webofscience.com/wos/woscc/basic-search (accessed on 16 December 2021)) between the years 2005 and 2020, containing the words “antimicrobial peptide” in the topic.
Figure 2Classification of AMPs.
Figure 3Most widely accepted models for extracellular AMPs mechanisms of action. (A) Barrel-stave model: AMPs aggregate as multimers and arrange parallel to the phospholipids of the cell membrane to form a hydrophilic transmembrane channel. (B) Toroidal pore model: AMPs accumulate vertically within the membrane causing the lipid moieties to fold inward to form a circular pore. (C) Carpet model: AMPs interact with the surface and act as a “detergent” isolating different portions of the membrane.
Examples of AMPs in clinical practice and/or clinical and pre-clinical evaluation.
| Name | Structure | Antimicrobial | Ref |
|---|---|---|---|
| Approved AMPs | |||
| Gramicidin D | Linear peptide isoforms with 15 residues | Gram-positive bacteria | [ |
| Gramicidin S | Cyclic decapeptide | Gram-positive and gram-negative bacteria, fungi | [ |
| Polymyxins | Lipopeptides with a cationic cycle and a tripeptide chain N-acylated by a fatty acid tail | Gram-negative bacteria | [ |
| Daptomycin | Cyclic branched 13-mer lipopeptide | (Methicillin-resistant-) Gram-positive bacteria | [ |
| AMPs in clinical and pre-clinical evaluation | |||
| Omiganan | Linear 12-mer cationic peptide | Fungi | [ |
| Pexiganan (MSI-78) | Linear 22-mer cationic peptide | Gram-positive and gram-negative bacteria, fungi | [ |
| Nisin (e.g., Nisin A) | Linear 34-mer cationic peptide | Gram-positive bacteria | [ |
| DPK-060 | Linear 20-mer cationic peptide | Gram-positive and gram-negative bacteria | [ |
| Human cathelicidin (LL-37) | Linear 37-mer peptide | Gram-positive and gram-negative bacteria, fungi | [ |
| PXL01 | Lactoferrin-derived peptide formulated in sodium hyaluronate | Adhesion inhibition | [ |
Principal strategies to enhance the proteolytic stability of AMPs.
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| N-acylation, C-amidation, formation of N-pyroglutamate and carbohydrate, PEGylation, sialyation. |
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| Head-to-tail cyclization, head-to-side-chain cyclization, side-chain-to-side-chain cyclization (e.g., disulphide and lanthionine bridge formation). |
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| D-amino acids, N-methyl-α-amino acids, proteinogenic amino acid derivatives with a rigid structure (e.g., Spi, Tic), β-amino acids, γ-amino acids, α-substituted amino acids, β-substituted α-amino acids, proline analogues. |
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| N-alkylation, carbonyl function substitution with a methylene group, carbonyl-O substitution with a sulfur atom or phosphonamide, NH group substitution with oxygen (depsipeptide), sulfur (thioester) or methylen (ketomethylene). |
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| Deletion of amino acid residues which are more susceptible to proteolytic attack. |
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| Introduction of a labile modification, maintaining the peptide structure almost unchanged by means of peptide conjugation with a polymer. |
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| Co-administration of the peptide and a specific enzyme inhibitor. |
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| Application of specific drug carriers (liposomes, ethosomes, transferosomes, cubosomes, nanostructured lipid carriers, solid lipid nanoparticles, biopolymers). |
Figure 4Some non-proteinogenic amino acids.