Evidence map›Paper›PMID 29368623›Full record

ArticleParticle and fibre toxicology2018

ISD3: a particokinetic model for predicting the combined effects of particle sedimentation, diffusion and dissolution on cellular dosimetry for in vitro systems.

Dennis G Thomas, Jordan N Smith, Brian D Thrall, Donald R Baer, Hadley Jolley, Prabhakaran Munusamy, Vamsi Kodali, Philip Demokritou, Joel Cohen, Justin G Teeguarden

Abstract read
In one paragraph

Article in Particle and fibre toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  8. New approach methodologies (NAMs) for theFrontiers in toxicology · 2024
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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

10 authors.

Dennis G ThomasComputational Biology, Biological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA, 99352, USA. dennis.thomas@pnnl.gov.
Jordan N SmithHealth Effects and Exposure Science, Biological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA, 99352, USA.
Brian D ThrallHealth Effects and Exposure Science, Biological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA, 99352, USA.
Donald R BaerInterfacial Sciences and Simulation, Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Hadley JolleyHealth Effects and Exposure Science, Biological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA, 99352, USA.
Prabhakaran MunusamyInterfacial Sciences and Simulation, Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.
Vamsi KodaliHealth Effects and Exposure Science, Biological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA, 99352, USA.
Philip DemokritouCenter for Nanotechnology and Nanotoxicology, Department of Environmental Health, Harvard University T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Joel CohenCenter for Nanotechnology and Nanotoxicology, Department of Environmental Health, Harvard University T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Justin G TeeguardenHealth Effects and Exposure Science, Biological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA, 99352, USA. jt@pnnl.gov.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Project 3: Dosimetry and Structure-Activity Relationships for Nanomaterial Risk AU19ES019544 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI THRALL, BRIAN D. · 2010 to 2014
$6.0M
NIEHS NIH HHS ES-0000002NIEHS NIH HHS P30 ES000002NIEHS NIH HHS U19 ES019544
6 · The paper itself

Abstract

backgroundThe development of particokinetic models describing the delivery of insoluble or poorly soluble nanoparticles to cells in liquid cell culture systems has improved the basis for dose-response analysis, hazard ranking from high-throughput systems, and now allows for translation of exposures across in vitro and in vivo test systems. Complimentary particokinetic models that address processes controlling delivery of both particles and released ions to cells, and the influence of particle size changes from dissolution on particle delivery for cell-culture systems would help advance our understanding of the role of particles and ion dosimetry on cellular toxicology. We developed ISD3, an extension of our previously published model for insoluble particles, by deriving a specific formulation of the Population Balance Equation for soluble particles.

resultsISD3 describes the time, concentration and particle size dependent dissolution of particles, their delivery to cells, and the delivery and uptake of ions to cells in in vitro liquid test systems. We applied the model to calculate the particle and ion dosimetry of nanosilver and silver ions in vitro after calibration of two empirical models, one for particle dissolution and one for ion uptake. Total media ion concentration, particle concentration and total cell-associated silver time-courses were well described by the model, across 2 concentrations of 20 and 110 nm particles. ISD3 was calibrated to dissolution data for 20 nm particles as a function of serum protein concentration, but successfully described the media and cell dosimetry time-course for both particles at all concentrations and time points. We also report the finding that protein content in media affects the initial rate of dissolution and the resulting near-steady state ion concentration in solution for the systems we have studied.

conclusionsBy combining experiments and modeling, we were able to quantify the influence of proteins on silver particle solubility, determine the relative amounts of silver ions and particles in exposed cells, and demonstrate the influence of particle size changes resulting from dissolution on particle delivery to cells in culture. ISD3 is modular and can be adapted to new applications by replacing descriptions of dissolution, sedimentation and boundary conditions with those appropriate for particles other than silver.

Indexed as

Models, BiologicalAnimalsCell Culture TechniquesCell LineChemical PrecipitationCulture MediaDiffusionMacrophages, AlveolarMetal NanoparticlesMiceNanoparticlesParticle SizeSilverSolubilitySurface PropertiesCulture MediaSilverDissolutionIn vitro dosimetryISD3ISDDNanoparticleNanosilverParticokinetic modelPopulation balance equation

Identifiers

PMID29368623
PMCPMC5784555

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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.