Evidence map›Paper›PMID 42681799›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

Transporter-Drive Interstitial Tissue Exposure and Pharmacodynamic Response of Meropenem in Sepsis: A Mechanistic PBPK Modeling Study.

Laura Ben Olivo, Jessica Luisa Silva de Lemos, Vinicius Jardim Rodrigues, Bibiana Verlindo de Araújo

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Laura Ben OlivoPharmaceutical Sciences Graduate Program, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-2556-9434
Jessica Luisa Silva de LemosBiological Sciences Graduate Program: Pharmacology and Therapeutics, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil.
Vinicius Jardim RodriguesBiological Sciences Graduate Program: Pharmacology and Therapeutics, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil.
Bibiana Verlindo de AraújoPharmaceutical Sciences Graduate Program, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-9706-0389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A whole-body mechanistic PBPK model for meropenem (MPN) was developed in PK-Sim and validated using published plasma and tissue concentration-time data in healthy volunteers and critically ill patients. Renal elimination was implemented as glomerular filtration plus active tubular secretion (basolateral uptake via OAT3 with apical efflux), and non-renal clearance via DHP-mediated hydrolysis. The model was scaled to sepsis or septic shock by incorporating disease-specific physiological changes and optimizing OAT3 activity and tissue permeability to reproduce observed variability. Simulations in a virtual septic population assessed unbound interstitial concentrations in clinically relevant tissues under ILAS-recommended typical and maximum dosing MPN regimens. Antibacterial effect against Escherichia coli and Klebsiella pneumoniae was evaluated using a published PK/PD model driven by simulated unbound tissue concentrations. The PBPK model reproduced observed plasma profiles in healthy volunteers and captured plasma and subcutaneous interstitial exposure in sepsis. Simulations showed clear dissociation between plasma and interstitial exposure and marked tissue-specific heterogeneity. Predicted clearance increased in sepsis (augmented renal clearance) and decreased in septic shock (impaired renal function and secretion). Although maximum dosing increased plasma and tissue exposure, PD simulations indicated effects were already near the plateau with standard dosing, yielding minimal additional antibacterial benefit from routine dose escalation. Transporter-informed PBPK/PD modeling explains dynamic, severity-dependent changes in meropenem clearance and tissue exposure in sepsis, highlights limitations of plasma-only assessment, and supports individualized, mechanism-informed optimization rather than universal dose scaling.

Indexed as

Anti-Bacterial AgentsMeropenemModels, BiologicalSepsisAdultComputer SimulationEscherichia coliFemaleHumansKlebsiella pneumoniaeMaleShock, SepticTissue DistributionAnti-Bacterial AgentsMeropenemPBPK/PD modelingsepsistissue exposure

Identifiers

PMID42681799
PMCPMC13534823

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Registered trials

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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.