Investigation of iron oxide nanoparticle cytotoxicity in relation to kidney cells: A mathematical modeling of data

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Cell Labeling and Targeting with Superparamagnetic Iron Oxide Nanoparticles
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Cell Labeling and Targeting with Superparamagnetic Iron Oxide Nanoparticles

Published on: October 19, 2015

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Fatemeh Hataminia1, Zahra Noroozi2, Houra Mobaleghol Eslam3

  • 1Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Science, Tehran, Iran; Student Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Toxicology in Vitro : an International Journal Published in Association with BIBRA
|April 28, 2019
PubMed

Insights

This study models iron oxide nanoparticle (ION) cell viability, finding that particle characteristics like size and surface charge influence toxicity. Mathematical modeling aids in predicting IONs

Area of Science:

  • Nanomedicine
  • Toxicology
  • Computational Biology

Background:

  • Iron oxide nanoparticles (IONs) offer significant potential in medical applications such as MRI and drug delivery.
  • Assessing the cellular toxicity of IONs is crucial due to their increasing use in biomedical fields.
  • Predicting IONs' cellular toxicity is challenging owing to complex interaction mechanisms.

Purpose of the Study:

  • To develop a mathematical model for predicting the cell viability of IONs.
  • To investigate the influence of physical and chemical properties of IONs on cellular toxicity.
  • To compare the toxicity of IONs with positive and negative surface charges in kidney cells.

Main Methods:

  • Selected particle size, concentration, incubation time, and surface charge as input variables for the model.
  • Utilized the SA-LOOCV-GRBF modeling approach to predict the percentage of cell viability (%CV).
  • Conducted separate modeling for IONs with positive zeta potential (PZP) and negative zeta potential (NZP) due to differing behaviors.

Main Results:

  • The SA-LOOCV-GRBF model successfully predicted IONs' cell viability with favorable outcomes.
  • Distinct behaviors were observed between IONs with PZP and NZP, necessitating separate modeling.
  • The study provides data on IONs' interaction with a kidney cell line, a key organ for IONs excretion.

Conclusions:

  • Mathematical modeling, specifically SA-LOOCV-GRBF, can effectively predict IONs' cellular toxicity.
  • Particle characteristics significantly impact IONs' effect on cell viability.
  • Understanding IONs' behavior in kidney cells is vital for assessing in vivo safety and efficacy.
Keywords:
Cell viabilityIron oxide nanoparticleModelingNegative zeta potentialPositive zeta potential

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