| Literature DB >> 35576494 |
Antonio Tarín-Pelló1, Beatriz Suay-García2, María-Teresa Pérez-Gracia1.
Abstract
INTRODUCTION: Antibiotic resistance is one of the biggest public health threats worldwide. Currently, antibiotic-resistant bacteria kill 700,000 people every year. These data represent the near future in which we find ourselves, a 'post-antibiotic era' where the identification and development of new treatments are key. This review is focused on the current and emerging antimicrobial therapies which can solve this global threat. AREAS COVERED: Through a literature search using databases such as Medline and Web of Science, and search engines such as Google Scholar, different antimicrobial therapies were analyzed, including pathogen-oriented therapy, phagotherapy, microbiota and antivirulent therapy. Additionally, the development pathways of new antibiotics were described, emphasizing on the potential advantages that the combination of a drug repurposing strategy with the application of mathematical prediction models could bring to solve the problem of AMRs. EXPERT OPINION: This review offers several starting points to solve a single problem: reducing the number of AMR. The data suggest that the strategies described could provide many benefits to improve antimicrobial treatments. However, the development of new antimicrobials remains necessary. Drug repurposing, with the application of mathematical prediction models, is considered to be of interest due to its rapid and effective potential to increase the current therapeutic arsenal.Entities:
Keywords: Antibiotic resistance; POT; antivirulent therapy; drug repurposing; mathematical prediction model; microbiota therapy; phagotherapy
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Year: 2022 PMID: 35576494 DOI: 10.1080/14787210.2022.2078308
Source DB: PubMed Journal: Expert Rev Anti Infect Ther ISSN: 1478-7210 Impact factor: 5.854