Stem Cells, a New Generation Model for Predictive Nano Toxicological Assessment

Title:Stem Cells, a New Generation Model for Predictive Nano Toxicological Assessment

Volume: 16 Issue: 10

Author(s): Remya Nirmal Suma and Parayanthala Valappil Mohanan

Affiliation:

Keywords: Apoptosis, bio-nano interactions, nano materials stem cells, oxidative stress, predictive nano toxicology.

Abstract: With the recent advancement in nanoscience and nanotechnology, there is a growing demand for assessment of the toxicological effects of nano materials to humans and other biological systems. And a predictive toxicology approach that uses in vitro screening assays in conjunction with in vivo study results are widely employed in nano safety evaluation. In recent years stem cells have gained wide attention in the scientific community owing to their potential benefits for various applications in health care systems. Stem cells are undifferentiated cells that have high replicative potential and multilineage differentiation capacity. And therefore, stem cells could be exploited for developing in vitro model systems to study nanomaterials interaction with the biological systems and a potential tool to predict toxicity in humans. The details provided in this article will give an overview of optimizing stem cell technology in predicting the toxicity of nano materials the essential features of the article.

Cite this article as:

Suma Nirmal Remya and Mohanan Valappil Parayanthala, Stem Cells, a New Generation Model for Predictive Nano Toxicological Assessment, Current Drug Metabolism 2015; 16 (10) . https://dx.doi.org/10.2174/1389200216666151015113720