ArticleJournal of nanobiotechnology2018
Assessment of in vitro particle dosimetry models at the single cell and particle level by scanning electron microscopy.
Article in Journal of nanobiotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- In vitro dosimetry of multi-walled carbon nanotubes on human bronchial epithelial cells (BEAS-2B) using UV-Vis-NIR spectrophotometry and chemical digestion.Analytical and bioanalytical chemistry · 2026Article
- A Nano-QSTR model to predict nano-cytotoxicity: an approach using human lung cells data.Particle and fibre toxicology · 2023Article
- Understanding nano-engineered particle-cell interactions: biological insights from mathematical models.Nanoscale advances · 2021Review
- Air-Liquid Interface Exposure of Lung Epithelial Cells to Low Doses of Nanoparticles to Assess Pulmonary Adverse Effects.Nanomaterials (Basel, Switzerland) · 2020Article
- NanoPASS: an easy-to-use user interface for nanoparticle dosimetry with the 3DSDD model.Particle and fibre toxicology · 2020Article
- Silica nanomaterials induce organ injuries by CaParticle and fibre toxicology · 2020Article
- Silica Nanoparticles Provoke Cell Death Independent of p53 and BAX in Human Colon Cancer Cells.Nanomaterials (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundParticokinetic models are important to predict the effective cellular dose, which is key to understanding the interactions of particles with biological systems. For the reliable establishment of dose-response curves in, e.g., the field of pharmacology and toxicology, mostly the In vitro Sedimentation, Diffusion and Dosimetry (ISDD) and Distorted Grid (DG) models have been employed. Here, we used high resolution scanning electron microscopy to quantify deposited numbers of particles on cellular and intercellular surfaces and compare experimental findings with results predicted by the ISDD and DG models.
resultsExposure of human lung epithelial A549 cells to various concentrations of differently sized silica particles (100, 200 and 500 nm) revealed a remarkably higher dose deposited on intercellular regions compared to cellular surfaces. The ISDD and DG models correctly predicted the areal densities of particles in the intercellular space when a high adsorption ("stickiness") to the surface was emulated. In contrast, the lower dose on cells was accurately inferred by the DG model in the case of "non-sticky" boundary conditions. Finally, the presence of cells seemed to enhance particle deposition, as aerial densities on cell-free substrates were clearly reduced.
conclusionsOur results further validate the use of particokinetic models but also demonstrate their limitations, specifically, with respect to the spatial distribution of particles on heterogeneous surfaces. Consideration of surface properties with respect to adhesion and desorption should advance modelling approaches to ultimately predict the cellular dose with higher precision.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.