Evidence map›Paper›PMID 27542346›Full record

ArticleParticle and fibre toxicology2016

In vivo biodistribution and physiologically based pharmacokinetic modeling of inhaled fresh and aged cerium oxide nanoparticles in rats.

Dingsheng Li, Masako Morishita, James G Wagner, Mohammad Fatouraie, Margaret Wooldridge, W Ethan Eagle, James Barres, Ulrika Carlander, Claude Emond, Olivier Jolliet

Open access · goldAbstract read
In one paragraph

Article in Particle and fibre toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% of its field
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Modulatory effects of CeOParticle and fibre toxicology · 2026
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  7. The Binding Affinities of Serum Proteins to Nanoparticles.Journal of the American Chemical Society · 2025
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  8. Article
  9. Review
  10. An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice.Journal of controlled release : official journal of the Controlled Release Society · 2023
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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 at 4 institutions in 2 countries.

Dingsheng LiDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, 48109, USA. dingsli@umich.edu.ORCID 0000-0002-8432-4023
Masako MorishitaDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, 48109, USA.
James G WagnerDepartment of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, 48824, USA.
Mohammad FatouraieDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Margaret WooldridgeDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
W Ethan EagleDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
James BarresDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, 48109, USA.
Ulrika CarlanderInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, SE-171 77, Sweden.
Claude EmondBioSimulation Consulting Inc., Newark, DE, 19713, USA.
Olivier JollietDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, 48109, USA.
University of Michigan · USBiostatistical Consulting (United States) · USKarolinska Institutet · SEMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerium oxide (CeO2) nanoparticles used as a diesel fuel additive can be emitted into the ambient air leading to human inhalation. Although biological studies have shown CeO2 nanoparticles can cause adverse health effects, the extent of the biodistribution of CeO2 nanoparticles through inhalation has not been well characterized. Furthermore, freshly emitted CeO2 nanoparticles can undergo an aging process by interaction with other ambient airborne pollutants that may influence the biodistribution after inhalation. Therefore, understanding the pharmacokinetic of newly-generated and atmospherically-aged CeO2 nanoparticles is needed to assess the risks to human health.

methodsA novel experimental system was designed to integrate the generation, aging, and inhalation exposure of Sprague Dawley rats to combustion-generated CeO2 nanoparticles (25 and 90 nm bimodal distribution). Aging was done in a chamber representing typical ambient urban air conditions with UV lights. Following a single 4-hour nose-only exposure to freshly emitted or aged CeO2 for 15 min, 24 h, and 7 days, ICP-MS detection of Ce in the blood, lungs, gastrointestinal tract, liver, spleen, kidneys, heart, brain, olfactory bulb, urine, and feces were analyzed with a mass balance approach to gain an overarching understanding of the distribution. A physiologically based pharmacokinetic (PBPK) model that includes mucociliary clearance, phagocytosis, and entry into the systemic circulation by alveolar wall penetration was developed to predict the biodistribution kinetic of the inhaled CeO2 nanoparticles.

resultsCerium was predominantly recovered in the lungs and feces, with extrapulmonary organs contributing less than 4 % to the recovery rate at 24 h post exposure. No significant differences in biodistribution patterns were found between fresh and aged CeO2 nanoparticles. The PBPK model predicted the biodistribution well and identified phagocytizing cells in the pulmonary region accountable for most of the nanoparticles not eliminated by feces.

conclusionsThe biodistribution of fresh and aged CeO2 nanoparticles followed the same patterns, with the highest amounts recovered in the feces and lungs. The slow decrease of nanoparticle concentrations in the lungs can be explained by clearance to the gastrointestinal tract and then to the feces. The PBPK model successfully predicted the kinetic of CeO2 nanoparticles in various organs measured in this study and suggested most of the nanoparticles were captured by phagocytizing cells.

Indexed as

AnimalsCeriumInhalation ExposureMaleMetal NanoparticlesModels, BiologicalRatsRats, Sprague-DawleyTissue Distributionceric oxideCeriumBiodistributionCerium oxide nanoparticlesInhalationPBPK modeling

Identifiers

PMID27542346
PMCPMC4992249
OpenAlexW2509704930

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.