This study performed mechanistic toxicity assessment of nanosilver (nAg) and nanotitanium dioxide anatase (nTiO2_a) via toxicogenomic approach, employing a whole-cell-array library consisting of 91 recombinated Escherichia coli K12 strains with transcriptional GFP-fusions covering most known stress response genes. The results, for the first time, revealed more detailed transcriptional information on the toxic mechanism of nAg and nTiO2_a, and led to a better understanding of the mode of action (MOA) of metal and metal oxide nanomaterials (NMs). The detailed pathways network established for the oxidative stress system and for the SOS (DNA damage) repair system based on the temporal gene expression profiling data revealed the relationships and sequences of key genes involved in these toxin response systems. Both NMs were found to cause oxidative stress as well as cell membrane and transportation damage. Genotoxicity and DNA damage were also observed, although nTiO2_a induced SOS response via previously identified pathway and nAg seemed to induce DNA repair via a pathway different from SOS. We observed that the NMs at lower concentration tend to induce more chemical-specific toxicity response, while at higher concentrations, more general global stress response dominates. The information-rich real-time gene expression data allowed for identification of potential biomarkers that can be employed for specific toxin detection and biosensor developments. The concentration-dependent gene expression response led to the determination of the No Observed Transcriptional Effect Level (NOTEL) values, which can be potentially applied in the regulatory and risk assessment framework as an alternative toxicity assessment end point.

This study reports a comparative and mechanistic genotoxicity assessment of four engineered nanomaterials (ENMs) across three species, including E. coli, yeast, and human cells, with the aim to reveal the distinct potential genotoxicity mechanisms among the different nanomaterials and their association with physiochemical features. Both the conventional phenotypic alkaline comet test and the newly developed quantitative toxicogenomics assay, that detects and quantifies molecular level changes in the regulation of six DNA damage repair pathways, were employed. The proposed molecular endpoints derived from the toxicogenomics assays, namely TELI (Transcriptional Effect Level Index) and PELI (Protein Effect Level Index), correlated well with the phenotypic DNA damage endpoints from comet tests, suggesting that the molecular genotoxicity assay is suitable for genotoxicity detection. Temporal altered gene or protein expression profiles revealed various potential DNA damage types and relevant genotoxic mechanisms induced by the tested ENMs. nTiO2_a induced a wide spectrum of DNA damage consistently across three species. Three carbon-based ENMs, namely carbon black, single wall carbon nanotube (SWCNT) and fullerene, exhibited distinct, species and ENM property-dependent DNA damage mechanisms. All carbon based ENMs induced relatively weak DNA damage repair response in E. coli, but more severe DNA double strand break in eukaryotes. The differences in cellular structure and defense systems among prokaryotic and eukaryotic species lead to distinct susceptibility and mechanisms for ENM uptake and, thus, varying DNA damages and repair responses. The observation suggested that eukaryotes, especially mammalian cells, are likely more susceptible to genotoxicity than prokaryotes in the ecosystem when exposed to these ENMs.

This study proposes and demonstrates the potential application of a new Transcriptional Effect Level Index (TELI) to convert the information-rich toxicogenomic data into integrated and quantitative endpoints. A library of transcriptional fusions of green fluorescent protein (GFP) that includes different promoters for 91 stress-related genes in E. coli K12, MG1655 is employed to evaluate the gene expression alteration induced by exposure to four nanomaterials (NMs), nano silver (nAg), nano titanium dioxide anatase (nTiO₂_a), nano titanium dioxide rutile (nTiO₂_r), and fullerene soot. TELI is determined for each toxicogenomic assay, and it incorporates the number and identity of genes that had altered expression, the magnitude of alteration, and the temporal pattern of gene expression change in response to toxicant exposure. TELI values exhibit a characteristic "sigmoid" shaped toxicity dose-response curve, based on which TELI(MAX) (the maximal value of TELI), TELI50 (concentration that yields half of TELI(MAX)), NOTEL(TELI) (TELI-based no observed transcriptional effect level), and Slope(TELI) (the slope of TELI-dose response curve) are obtained. TELI-based endpoints are compared to currently used endpoints such as EC50 and no observed transcriptional effect level (NOTEL). The agreement of NOTEL(TELI) and NOTEL values validates the concept and application of TELI. Multiple endpoints derived from TELI can describe the dose response behavior and characteristics more completely and holistically than single points such as NOTEL alone. TELI values determined for genes in each stress response category (e.g., oxidative stress, DNA repair) indicate mode of action (MOA)-related comparative transcriptional level toxicity among compounds, and it reveals detailed information of toxic response pathways such as different DNA damage and repair mechanisms among the NMs. This study presents a methodology for converting the rich toxicogenomic information into a readily usable and transferable format that can be potentially linked to regulation endpoints and incorporated into a decision-making framework.

The ecological and health concern of mutagenicity and carcinogenicity potentially associated with an overwhelmingly large and ever-increasing number of chemicals demands for cost-effective and feasible method for genotoxicity screening and risk assessment. This study proposed a genotoxicity assay using GFP-tagged yeast reporter strains, covering 38 selected protein biomarkers indicative of all the seven known DNA damage repair pathways. The assay was applied to assess four model genotoxic chemicals, eight environmental pollutants and four negative controls across six concentrations. Quantitative molecular genotoxicity end points were derived based on dose response modeling of a newly developed integrated molecular effect quantifier, Protein Effect Level Index (PELI). The molecular genotoxicity end points were consistent with multiple conventional in vitro genotoxicity assays, as well as with in vivo carcinogenicity assay results. Further more, the proposed genotoxicity end point PELI values quantitatively correlated with both comet assay in human cell and carcinogenicity potency assay in mice, providing promising evidence for linking the molecular disturbance measurements to adverse outcomes at a biological relevant level. In addition, the high-resolution DNA damaging repair pathway alternated protein expression profiles allowed for chemical clustering and classification. This toxicogenomics-based assay presents a promising alternative for fast, efficient and mechanistic genotoxicity screening and assessment of drugs, foods, and environmental contaminants.

No abstract