An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization.

Area of Science:

• Toxicology
• Nanotechnology
• Biomolecular Sciences

Background:

• Nanomaterials (NMs) require extensive safety assessments due to their tunable properties.
• Current NM safety testing lacks mechanistic understanding and relies on conceptual grouping strategies.
• In vitro studies are crucial for understanding NM toxicity mechanisms.

Purpose of the Study:

• To investigate the toxicological effects of 12 different NMs using a multi-omics approach.
• To identify correlations between NM physicochemical properties and cellular responses.
• To discover potential biomarkers for NM toxicity.

Main Methods:

• Utilized a multi-omics in vitro study with RLE-6TN rat alveolar epithelial cells.
• Analyzed cellular responses using global proteomics, targeted metabolomics, and SH2 profiling.
• Integrated data with Weighted Gene Correlation Network Analysis (WGCNA) for robust categorization.

Main Results:

• Cluster analysis revealed distinct cellular response patterns for specific NMs like Graphene Oxide and TiO2.
• WGCNA identified correlations between NM properties (e.g., agglomerate size, redox potential) and cellular effects.
• Key drivers related to oxidative stress and apoptosis were identified as potential toxicity biomarkers.

Conclusions:

• The multi-omics approach provided insights into NM modes of action and enabled robust categorization.
• Identified key physicochemical properties strongly correlated with NM toxicity.
• Discovered potential toxicity drivers that can enhance future NM testing and safety assessment strategies.