Evidence map›Paper›PMID 42625210›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

Introduction to Single-Cell Physiologically-Based Pharmacokinetic (scPBPK) Models.

Anshul Saini, James M Gallo

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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

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Anshul SainiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Buffalo, New York, USA.ORCID https://orcid.org/0000-0002-7833-3900
James M GalloDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Buffalo, New York, USA.ORCID https://orcid.org/0000-0003-1553-4817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current investigation introduces single-cell physiologically based pharmacokinetic (scPBPK) models to gain insight into drug disposition at the cellular scale. The transition from standard PBPK (sPBPK) models to scPBPK models required depiction of expression-dependent (ED) processes, such as drug metabolism or membrane transport. ED processes utilize weighting functions-a defined or data-driven distribution-that yield heterogeneity in individual cell kinetics. Two scPBPK model examples are provided, one involving a drug (AZD1775) subject to three ED blood-brain barrier transport processes, and another drug (midazolam) with a single ED process of metabolism by hepatocytes. For both examples, the weighting function for each ED process was defined by a negative binomial distribution that is often used in scRNAseq analytics. The AZD1775 model simulations indicated a large degree of single-cell drug concentration heterogeneity, whereas those for midazolam did not due to high membrane transport relative to metabolism. scPBPK models offer a means to probe cellular pharmacokinetics compatible with modern omic technologies and may be extended to pharmacodynamic models.

Indexed as

MidazolamModels, BiologicalPharmacokineticsSingle-Cell AnalysisBiological TransportBlood-Brain BarrierComputer SimulationHepatocytesHumansMidazolamheterogeneityphysiologically based pharmacokineticssingle‐cell

Identifiers

PMID42625210

What OpenQuestion holds

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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.