Quantitative Structure–Activity Relationship Models for Predicting Inflammatory Potential of Metal Oxide Nanoparticles

Abstract

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext>IL-</mml:mtext><mml:mn>1</mml:mn><mml:mi>β</mml:mi></mml:mrow></mml:math> released in THP-1 cells can be an index to rank the inflammatory potential of MeONPs. QSAR models based on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mtext>IL-</mml:mtext><mml:mn>1</mml:mn><mml:mi>β</mml:mi></mml:mrow></mml:math> were able to predict the inflammatory potential of MeONPs. Our approach overcame the challenge of time- and labor-consuming biological experiments and allowed for computational assessment of MeONP inflammatory potential by characterization of their physicochemical properties. https://doi.org/10.1289/EHP6508.