Evidence map›Paper›PMID 39884815›Full record

ReviewDrug metabolism and disposition: the biological fate of chemicals2025

Potential and challenges in application of physiologically based pharmacokinetic modeling in predicting diarrheal disease impact on oral drug pharmacokinetics.

Cindy X Zhang, Samuel L M Arnold

Abstract readReview
In one paragraph

Review in Drug metabolism and disposition: the biological fate of chemicals, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Cindy X ZhangDepartment of Pharmaceutics, University of Washington, Seattle, Washington.
Samuel L M ArnoldDepartment of Pharmaceutics, University of Washington, Seattle, Washington. Electronic address: slarnold@uw.edu.

Funding

Pharmacokinetic and pharmacodynamic relationships for antibacterial treatment of shigellosisR01AI170784 · NIAID · UNIVERSITY OF WASHINGTON · PI Samuel L Arnold · 2023 to 2026
$1.7M
NIAID NIH HHS R01 AI170784
6 · The paper itself

Abstract

Physiologically based pharmacokinetic (PBPK) modeling is a physiologically relevant approach that integrates drug-specific and system parameters to generate pharmacokinetic predictions for target populations. It has gained immense popularity for drug-drug interaction, organ impairment, and special population studies over the past 2 decades. However, an application of PBPK modeling with great potential remains rather overlooked-prediction of diarrheal disease impact on oral drug pharmacokinetics. Oral drug absorption is a complex process involving the interplay between physicochemical characteristics of the drug and physiological conditions in the gastrointestinal tract. Diarrhea, a condition common to numerous diseases impacting many worldwide, is associated with physiological changes in many processes critical to oral drug absorption. In this Minireview, we outline key processes governing oral drug absorption, provide a high-level overview of key parameters for modeling oral drug absorption in PBPK models, examine how diarrheal diseases may impact these processes based on literature findings, illustrate the clinical relevance of diarrheal disease impact on oral drug absorption, and discuss the potential and challenges of applying PBPK modeling in predicting disease impacts. SIGNIFICANCE STATEMENT: Pathophysiological changes resulting from diarrheal diseases can alter important factors governing oral drug absorption, contributing to suboptimal drug exposure and treatment failure. Physiologically based pharmacokinetic (PBPK) modeling is an in silico approach that has been increasingly adopted for drug-drug interaction potential, organ impairment, and special population assessment. This Minireview highlights the potential and challenges of using physiologically based pharmacokinetic modeling as a tool to improve our understanding of how diarrheal diseases impact oral drug pharmacokinetics.

Indexed as

DiarrheaModels, BiologicalPharmacokineticsAdministration, OralAnimalsDrug InteractionsHumansIntestinal AbsorptionPharmaceutical PreparationsPharmaceutical PreparationsAbsorptionInfectious diseasesPhysiologically based pharmacokinetic

Identifiers

PMID39884815
PMCPMC12698036

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.