Antibiotic resistance is a problem of global importance with repercussions on human health. Personal care products and, in particular, the antimicrobial additives they contain, like parabens, triclocarban, are released into the environment and meet microbial communities, altering them and selecting resistant bacteria. Exposure to antimicrobials can favor the development of bacteria that are resistant to both biocides and antibiotics. This occurs because some of the genes that give resistance to biocides are found on the same genetic elements as those that provide resistance to antibiotics, and the use of biocides can encourage the spread of these genes among bacterial populations. Authors in this study, examine how these compounds may affect microbial ecosystems and result in Antimicrobial resistance. They employed an analytical approach-Zebrafish model, to find novel biological targets to solve the issue of resistance, helps in monitoring harmful compounds that are released into the environment. They further explored artificial intelligence and machine learning approaches that can enable the research of this issue through simulations and in silico models.
Link to the article: https://tinyurl.com/bde33p7k
Published On: /04/2023
