Predictive Toxicology of cobalt ferrite nanoparticles: comparative in-vitro study of different cellular models using methods of knowledge discovery from data. - Archive ouverte HAL Access content directly
Journal Articles Particle and Fibre Toxicology Year : 2013

Predictive Toxicology of cobalt ferrite nanoparticles: comparative in-vitro study of different cellular models using methods of knowledge discovery from data.

(1) , (2) , (1) , (2) , (3) , (4) , (5) , (5) , (6) , (7) , (8) , (6) , (8) , (3) , (4) , (4) , (7) , (1)
1
2
3
4
5
6
7
8
Giovanni Baldi
  • Function : Author
  • PersonId : 944220
Delila Beno
  • Function : Author
  • PersonId : 944221
Daniel Bonacchi
  • Function : Author
  • PersonId : 944222
Ute Golla-Schindler
  • Function : Author
  • PersonId : 944223
James Kirkpatrick
  • Function : Author
  • PersonId : 944224
Susanne Kolle
  • Function : Author
  • PersonId : 944225
Robert Landsiedel
  • Function : Author
  • PersonId : 944226
Oded Maimon
  • Function : Author
  • PersonId : 944227
Jessica Ponti
  • Function : Author
  • PersonId : 944228
Roni Romano
  • Function : Author
  • PersonId : 944229
Dieter Sommer
  • Function : Author
  • PersonId : 944231
Chiara Uboldi
Ronald Unger
  • Function : Author
  • PersonId : 928362

Abstract

BACKGROUND: Cobalt-ferrite nanoparticles (Co-Fe NPs) are attractive for nanotechnology-based therapies. Thus, exploring their effect on viability of seven different cell lines representing different organs of the human body is highly important. METHODS: The toxicological effects of Co-Fe NPs were studied by in-vitro exposure of A549 and NCIH441 cell-lines (lung), precision-cut lung slices from rat, HepG2 cell-line (liver), MDCK cell-line (kidney), Caco-2 TC7 cell-line (intestine), TK6 (lymphoblasts) and primary mouse dendritic-cells. Toxicity was examined following exposure to Co-Fe NPs in the concentration range of 0.05 -1.2 mM for 24 and 72 h, using Alamar blue, MTT and neutral red assays. Changes in oxidative stress were determined by a dichlorodihydrofluorescein diacetate based assay. Data analysis and predictive modeling of the obtained data sets were executed by employing methods of Knowledge Discovery from Data with emphasis on a decision tree model (J48). RESULTS: Different dose-response curves of cell viability were obtained for each of the seven cell lines upon exposure to Co-Fe NPs. Increase of oxidative stress was induced by Co-Fe NPs and found to be dependent on the cell type. A high linear correlation (R2=0.97) was found between the toxicity of Co-Fe NPs and the extent of ROS generation following their exposure to Co-Fe NPs. The algorithm we applied to model the observed toxicity belongs to a type of supervised classifier. The decision tree model yielded the following order with decrease of the ranking parameter: NP concentrations (as the most influencing parameter), cell type (possessing the following hierarchy of cell sensitivity towards viability decrease: TK6 > Lung slices > NCIH441 > Caco-2 = MDCK > A549 > HepG2 = Dendritic) and time of exposure, where the highest-ranking parameter (NP concentration) provides the highest information gain with respect to toxicity. The validity of the chosen decision tree model J48 was established by yielding a higher accuracy than that of the well-known "naive bayes" classifier. CONCLUSIONS: The observed correlation between the oxidative stress, caused by the presence of the Co-Fe NPs, with the hierarchy of sensitivity of the different cell types towards toxicity, suggests that oxidative stress is one possible mechanism for the toxicity of Co-Fe NPs.
Fichier principal
Vignette du fichier
1743-8977-10-32.pdf (592.6 Ko) Télécharger le fichier
Vignette du fichier
1743-8977-10-32.xml (94.65 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Format : Other
Loading...

Dates and versions

inserm-00850245 , version 1 (05-08-2013)

Identifiers

Cite

Limor Horev-Azaria, Giovanni Baldi, Delila Beno, Daniel Bonacchi, Ute Golla-Schindler, et al.. Predictive Toxicology of cobalt ferrite nanoparticles: comparative in-vitro study of different cellular models using methods of knowledge discovery from data.. Particle and Fibre Toxicology, 2013, 10 (1), pp.32. ⟨10.1186/1743-8977-10-32⟩. ⟨inserm-00850245⟩

Collections

INSERM UGA U823
209 View
303 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More