Evidence map›Paper›PMID 35804418›Full record

ArticleParticle and fibre toxicology2022

Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats.

Wei-Chun Chou, Yi-Hsien Cheng, Jim E Riviere, Nancy A Monteiro-Riviere, Wolfgang G Kreyling, Zhoumeng Lin

Abstract read
In one paragraph

Article in Particle and fibre toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Modeling onActa pharmaceutica Sinica. B · 2024
    Article
  18. Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models.Journal of controlled release : official journal of the Controlled Release Society · 2024
    Article
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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

6 authors.

Wei-Chun Chou *Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA.
Yi-Hsien Cheng *Institute of Computational Comparative Medicine, Kansas State University, Manhattan, KS, 66506, USA.
Jim E RiviereInstitute of Computational Comparative Medicine, Kansas State University, Manhattan, KS, 66506, USA.
Nancy A Monteiro-RiviereNanotechnology Innovation Center of Kansas State, Kansas State University, Manhattan, KS, 66506, USA.
Wolfgang G KreylingHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Ingolstaedter Landstrasse 1, Neuherberg, 85764, Munich, Germany.
Zhoumeng LinDepartment of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA. linzhoumeng@ufl.edu.ORCID 0000-0002-8731-8366

Funding

Development of a web-based predictive model of nanoparticle delivery to tumors by integrating physiologically-based pharmacokinetic modeling with artificial intelligenceR01EB031022 · NIBIB · UNIVERSITY OF FLORIDA · PI Zhoumeng Lin · 2021 to 2026
$2.2M
Physiologically based pharmacokinetic modeling and analysis of administration route-dependent tissue distribution of gold nanoparticlesR03EB026045 · NIBIB · UNIVERSITY OF FLORIDA · PI LIN, ZHOUMENG · 2019 to 2020
$152k
NIBIB NIH HHS R01 EB031022NIBIB NIH HHS R03 EB026045
6 · The paper itself

Abstract

backgroundPhysiologically based pharmacokinetic (PBPK) modeling is an important tool in predicting target organ dosimetry and risk assessment of nanoparticles (NPs). The methodology of building a multi-route PBPK model for NPs has not been established, nor systematically evaluated. In this study, we hypothesized that the traditional route-to-route extrapolation approach of PBPK modeling that is typically used for small molecules may not be appropriate for NPs. To test this hypothesis, the objective of this study was to develop a multi-route PBPK model for different sizes (1.4-200 nm) of gold nanoparticles (AuNPs) in adult rats following different routes of administration (i.e., intravenous (IV), oral gavage, intratracheal instillation, and endotracheal inhalation) using two approaches: a traditional route-to-route extrapolation approach for small molecules and a new approach that is based on route-specific data that we propose to be applied generally to NPs.

resultsWe found that the PBPK model using this new approach had superior performance than the traditional approach. The final PBPK model was optimized rigorously using a Bayesian hierarchical approach with Markov chain Monte Carlo simulations, and then converted to a web-based interface using R Shiny. In addition, quantitative structure-activity relationships (QSAR) based multivariate linear regressions were established to predict the route-specific key biodistribution parameters (e.g., maximum uptake rate) based on the physicochemical properties of AuNPs (e.g., size, surface area, dose, Zeta potential, and NP numbers). These results showed the size and surface area of AuNPs were the main determinants for endocytic/phagocytic uptake rates regardless of the route of administration, while Zeta potential was an important parameter for the estimation of the exocytic release rates following IV administration.

conclusionsThis study suggests that traditional route-to-route extrapolation approaches for PBPK modeling of small molecules are not applicable to NPs. Therefore, multi-route PBPK models for NPs should be developed using route-specific data. This novel PBPK-based web interface serves as a foundation for extrapolating to other NPs and to humans to facilitate biodistribution estimation, safety, and risk assessment of NPs.

Indexed as

GoldMetal NanoparticlesAnimalsBayes TheoremModels, BiologicalRatsTissue DistributionGoldBiodistributionEndocytosisGold nanoparticlesNanomedicineNanotoxicologyPhysiologically based pharmacokinetic (PBPK) modeling

Identifiers

PMID35804418
PMCPMC9264615

What OpenQuestion holds

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LicenceCC BY
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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.