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Semi-mechanistic modeling of resistance development to ß-lactam and ß-lactamase-inhibitor combinations.
Tandar, Sebastian T; Aulin, Linda B S; Leemkuil, Eva M J; Liakopoulos, Apostolos; van Hasselt, J G Coen.
Affiliation
  • Tandar ST; Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. s.t.tandar@lacdr.leidenuniv.nl.
  • Aulin LBS; Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
  • Leemkuil EMJ; Department Clinical Pharmacy and Biochemistry, Freie Universität Berlin, Berlin, Germany.
  • Liakopoulos A; Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
  • van Hasselt JGC; Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Article in En | MEDLINE | ID: mdl-38008877
ABSTRACT
The use of ß-lactam (BL) and ß-lactamase inhibitor (BLI) combinations, such as piperacillin-tazobactam (PIP-TAZ) is an effective strategy to combat infections by extended-spectrum ß-lactamase-producing bacteria. However, in Gram-negative bacteria, resistance (both mutational and adaptive) to BL-BLI combination can still develop through multiple mechanisms. These mechanisms may include increased ß-lactamase activity, reduced drug influx, and increased drug efflux. Understanding the relative contribution of these mechanisms during resistance development helps identify the most impactful mechanism to target in designing a treatment to counter BL-BLI resistance. This study used semi-mechanistic mathematical modeling in combination with antibiotic sensitivity assays to assess the potential impact of different resistance mechanisms during the development of PIP-TAZ resistance in a Klebsiella pneumoniae isolate expressing CTX-M-15 and SHV-1 ß-lactamases. The mathematical models were used to evaluate the potential impact of several cellular changes as a sole mediator of PIP-TAZ resistance. Our semi-mechanistic model identified 2 out of the 13 inspected mechanisms as key resistance mechanisms that may independently support the observed magnitude of PIP-TAZ resistance, namely porin loss and efflux pump up-regulation. Simulation using the resulting models also suggested the possible adjustment of PIP-TAZ dose outside its commonly used 81 dosing ratio. The current study demonstrated how theory-based mechanistic models informed by experimental data can be used to support hypothesis generation regarding potential resistance mechanisms, which may guide subsequent experimental studies.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pharmacokinet Pharmacodyn Journal subject: FARMACOLOGIA Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pharmacokinet Pharmacodyn Journal subject: FARMACOLOGIA Year: 2023 Document type: Article Affiliation country: