Evidence map›Paper›PMID 42598182›Full record

ArticleBiofilm2026

Pharmacodynamic modeling of colistin and imipenem against

Yuchen Guo, Jinqiu Yin, Linda B S Aulin, Oana Ciofu, Claus Moser, Parth J Upadhyay, Niels Høiby, Hengzhuang Wang, Tingjie Guo, J G Coen van Hasselt

Abstract read
In one paragraph

Article in Biofilm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

10 authors.

Yuchen GuoLeiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
Jinqiu YinLeiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
Linda B S AulinLeiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
Oana CiofuDepartment of Immunology and Microbiology, Costerton Biofilm Center, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Claus MoserDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Parth J UpadhyayLeiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
Niels HøibyDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Hengzhuang WangDepartment of Immunology and Microbiology, Costerton Biofilm Center, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Tingjie GuoLeiden 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Antibiotic treatment of chronic biofilm-associated infections can be challenging. Characterization of pharmacokinetic/pharmacodynamic (PK/PD) relationships for biofilm-associated infections may be relevant to informing the design of antibiotic treatment regimens for biofilm-associated infections. To this end, we aim to develop a mathematical PK/PD model for planktonic and biofilm bacterial infections and demonstrate how PK/PD simulations can be used to design optimized dosing schedules, using colistin and imipenem as proof-of-concept examples. Methods: Pharmacodynamic models were developed using time-kill assay data from planktonic and alginate-bead biofilm cultures of Results: The developed models incorporated susceptible and resistant bacterial subpopulations and were able to adequately capture the observed time-kill data. Simulation studies identified differences in suppression of bacterial growth dynamics for multiple clinical intravenous and inhalation-based treatment regimens and were used to infer biofilm-specific PK/PD indices associated with ELF target site concentrations. Conclusion: In conclusion, we demonstrate the utility of mathematical modeling for the characterization of PK/PD relationships underlying time-kill kinetic profiles in biofilm-associated infections and their utility in translating experimental findings toward clinically relevant dose-optimization strategies.

Indexed as

AntibioticsBiofilmModelingPharmacodynamicsPseudomonas aeruginosa

Identifiers

PMID42598182
PMCPMC13471946

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.