Evidence map›Paper›PMID 38008877›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2024

Semi-mechanistic modeling of resistance development to β-lactam and β-lactamase-inhibitor combinations.

Sebastian T Tandar, Linda B S Aulin, Eva M J Leemkuil, Apostolos Liakopoulos, J G Coen van Hasselt

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In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 48% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Sebastian T TandarLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. s.t.tandar@lacdr.leidenuniv.nl.ORCID 0000-0002-9255-2456
Linda B S AulinLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Eva M J LeemkuilLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Apostolos LiakopoulosLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
J G Coen van HasseltLeiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. coen.vanhasselt@lacdr.leidenuniv.nl.
Leiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of β-lactam (BL) and β-lactamase inhibitor (BLI) combinations, such as piperacillin-tazobactam (PIP-TAZ) is an effective strategy to combat infections by extended-spectrum β-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 β-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 β-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 8:1 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.

Indexed as

Anti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-Lactamasesbeta-LactamsKlebsiella pneumoniaeMicrobial Sensitivity Testsbeta-Lactam ResistanceHumansModels, BiologicalModels, TheoreticalPiperacillin, Tazobactam Drug CombinationAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-Lactamasesbeta-LactamsPiperacillin, Tazobactam Drug CombinationAntimicrobial resistanceKlebsiella pneumoniaePiperacillin-TazobactamSemi-mechanistic model

Identifiers

PMID38008877
OpenAlexW4389019650

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.