4.8 Review

Strategies in Translating the Therapeutic Potentials of Host Defense Peptides

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FRONTIERS IN IMMUNOLOGY
卷 11, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2020.00983

关键词

antibiotic; antimicrobial peptide; antimicrobial resistance; artificial intelligence; host defense peptide; nanoparticle; peptide

资金

  1. Medical Research Council/Fight for Sight (FFS) Clinical Research Fellowship [MR/T001674/1]
  2. FFS/John Lee, Royal College of Ophthalmologists Primer Fellowship [24CO4]
  3. University of Nottingham International Research Collaboration Fund [A2RRG1]
  4. Medical Research Council-Confidence in Concept Scheme [MRC-CIC_2019-028]
  5. MRC [MR/T001674/1, MC_PC_18058] Funding Source: UKRI

向作者/读者索取更多资源

The golden era of antibiotics, heralded by the discovery of penicillin, has long been challenged by the emergence of antimicrobial resistance (AMR). Host defense peptides (HDPs), previously known as antimicrobial peptides, are emerging as a group of promising antimicrobial candidates for combatting AMR due to their rapid and unique antimicrobial action. Decades of research have advanced our understanding of the relationship between the physicochemical properties of HDPs and their underlying antimicrobial and non-antimicrobial functions, including immunomodulatory, anti-biofilm, and wound healing properties. However, the mission of translating novel HDP-derived molecules from bench to bedside has yet to be fully accomplished, primarily attributed to their intricate structure-activity relationship, toxicity, instability in host and microbial environment, lack of correlation between in vitro and in vivo efficacies, and dwindling interest from large pharmaceutical companies. Based on our previous experience and the expanding knowledge gleaned from the literature, this review aims to summarize the novel strategies that have been employed to enhance the antimicrobial efficacy, proteolytic stability, and cell selectivity, which are all crucial factors for bench-to-bedside translation of HDP-based treatment. Strategies such as residues substitution with natural and/or unnatural amino acids, hybridization, L-to-D heterochiral isomerization, C- and N-terminal modification, cyclization, incorporation with nanoparticles, and smart design using artificial intelligence technology, will be discussed. We also provide an overview of HDP-based treatment that are currently in the development pipeline.

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