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Prediction of antibiotic resistance: time for a new preclinical paradigm?
Antibio Tx AS, DK-2800 Lyngby, Denmark.;Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, DK-2800 Lyngby, Denmark..
Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, DK-2800 Lyngby, Denmark..
Antibio Tx AS, DK-2800 Lyngby, Denmark..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
2017 (English)In: Nature Reviews Microbiology, ISSN 1740-1526, E-ISSN 1740-1534, Vol. 15, no 11, p. 688-695Article, review/survey (Refereed) Published
Abstract [en]

Predicting the future is difficult, especially for evolutionary processes that are influenced by numerous unknown factors. Still, this is what is required of drug developers when they assess the risk of resistance arising against a new antibiotic candidate during preclinical development. In this Opinion article, we argue that the traditional procedures that are used for the prediction of antibiotic resistance today could be markedly improved by including a broader analysis of bacterial fitness, infection dynamics, horizontal gene transfer and other factors. This will lead to more informed preclinical decisions for continuing or discontinuing the development of drug candidates.

Place, publisher, year, edition, pages
2017. Vol. 15, no 11, p. 688-695
National Category
Microbiology in the medical area
Identifiers
URN: urn:nbn:se:uu:diva-346832DOI: 10.1038/nrmicro.2017.75ISI: 000412842500010PubMedID: 28757648OAI: oai:DiVA.org:uu-346832DiVA, id: diva2:1194721
Funder
Swedish Research CouncilNovo NordiskDanish National Research FoundationAvailable from: 2018-04-03 Created: 2018-04-03 Last updated: 2018-04-03Bibliographically approved

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