Synthesis and evaluation of novel furanones as biofilm inhibitors in opportunistic human pathogens
Diseases caused by biofilm-forming pathogens are becoming increasingly prevalent and represent a major threat to human health. This trend has prompted a search for novel inhibitors of microbial biofilms which could, for example, be used to potentiate existing antibiotics. Naturally-occurring, haloge...
| Authors: | , , , , , , , , , , , |
|---|---|
| Format: | article |
| Publication Date: | 2022 |
| Country: | España |
| Institution: | Universitat Autònoma de Barcelona |
| Repository: | Dipòsit Digital de Documents de la UAB |
| Language: | English |
| OAI Identifier: | oai:ddd.uab.cat:270489 |
| Online Access: | https://ddd.uab.cat/record/270489 https://dx.doi.org/urn:doi:10.1016/j.ejmech.2022.114678 |
| Access Level: | Open access |
| Keyword: | Furanones Biofilms Quorum sensing Salmonella enterica Staphylococcus aureus Pseudomonas aeruginosa Escherichia coli Stenotrophomonas maltophilia Candida albicans |
| Summary: | Diseases caused by biofilm-forming pathogens are becoming increasingly prevalent and represent a major threat to human health. This trend has prompted a search for novel inhibitors of microbial biofilms which could, for example, be used to potentiate existing antibiotics. Naturally-occurring, halogenated furanones isolated from marine algae have proven to be effective biofilm inhibitors in several bacterial species. In this work, we report the synthesis of a library of novel furanones and their subsequent evaluation as biofilm inhibitors in several opportunistic human pathogens including S. enterica, S. aureus, E. coli, S. maltophilia, P. aeruginosa and C. albicans. A number of the most potent compounds were subjected to further analysis by confocal laser-scanning microscopy for their effects on P. aeruginosa and C. albicans biofilms individually, in addition to mixed polymicrobial biofilms. Lastly, we investigated the impact of a promising candidate on survival rates in vivo using a Galleria mellonella model. |
|---|