title: Predicting antibiotic resistance.
abstract: The treatment of bacterial infections is increasingly complicated because microorganisms can develop resistance to antimicrobial agents. This article discusses the information that is required to predict when antibiotic resistance is likely to emerge in a bacterial population. Indeed, the development of the conceptual and methodological tools required for this type of prediction represents an important goal for microbiological research. To this end, we propose the establishment of methodological guidelines that will allow researchers to predict the emergence of resistance to a new antibiotic before its clinical introduction.
authors.affiliation: Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública and Unidad Asociada al CSIC Resistencia a los Antibióticos y Virulencia Bacteriana, Cantoblanco, 28049-Madrid, Spain. jlmtnez@cnb.uam.es
authors.forename: José L
authors.initials: JL
authors.lastname: Martínez
authors.forename: Fernando
authors.initials: F
authors.lastname: Baquero
authors.forename: Dan I
authors.initials: DI
authors.lastname: Andersson
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology* / Q000627:therapeutic use; D001419:Bacteria / Q000187:drug effects* / Q000235:genetics*; D001424:Bacterial Infections / Q000188:drug therapy / Q000382:microbiology*; D024901:Drug Resistance, Multiple, Bacterial / Q000235:genetics*; D005544:Forecasting / Q000379:methods*; D006801:Humans
chemical_list: D000900:Anti-Bacterial Agents