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Get Free AccessAbstract: Infectious diseases have always been a concern for human health, responsible for numerous pandemics throughout history. Even with the advancement of medicine, new infectious diseases have been discovered over the years, requiring constant effort in medical research to avoid future problems. Like the emergence of new diseases, the increase in resistance of certain bacterial strains also becomes a concern, carried out through the misuse of antibiotics, generating the adaptation of certain microorganisms. Worldwide, the resistance developed by several bacterial strains is growing exponentially, creating awareness and developing novel strategies to control their evolution a mandatory research topic. Methicillin-resistant Staphylococcus aureus (MRSA) is an example of a bacterial strain that causes serious and mortal infections. The fact is that this bacterial strain started to develop resistance against commonly used antibiotics, first to penicillin and against methicillin. Thus, the treatment against infections caused by MRSA is limited and difficult due to its capacity to develop defense mechanisms against the antibiotic's action. Given the urgency to find new alternatives, the scientific community has been developing interesting research regarding the exploitation of natural resources to discover bioactive molecules that are able to inhibit/kill MRSA. In this sense, several natural matrices, namely plants, have shown great potential against MRSA, due to the presence of phenolic compounds, molecules with high antimicrobial capacity due to their chemical structure and arrangement.
Jonata M. Ueda, Catarina Milho, Sandrina A. Heleno, Anton Soria-López, María Carpena, Maria José Alves, Tânia C. S. P. Pires, Miguel A. Prieto, Jesus Simal Gandara, Ricardo C. Calhelha, Isabel C.F.R. Ferreira, Lillian Barros (2023). Emerging Strategies to Combat Methicillin-resistant Staphylococcus aureus(MRSA): Natural Agents with High Potential. , 29(11), DOI: https://doi.org/10.2174/1381612829666230410095155.
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Type
Article
Year
2023
Authors
12
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.2174/1381612829666230410095155
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