| Literature DB >> 32604793 |
Sarah Johann1,2, Mira Goßen1,2, Peter A Behnisch3, Henner Hollert1,2, Thomas-Benjamin Seiler2.
Abstract
Genotoxicity assessment is of high relevance for crude and refined petroleum products, since oil compounds are known to cause DNA damage with severe consequences for aquatic biota as demonstrated in long-term monitoring studies. This study aimed at the optimization and evaluation of small-scale higher-throughput assays (Ames fluctuation, micronucleus, Nrf2-CALUX®) covering different mechanistic endpoints as first screening tools for genotoxicity assessment of oils. Cells were exposed to native and chemically dispersed water-accommodated fractions (WAFs) of three oil types varying in their processing degree. Independent of an exogenous metabolic activation system, WAF compounds induced neither base exchange nor frame shift mutations in bacterial strains. However, significantly increased chromosomal aberrations in zebrafish liver (ZF-L) cells were observed. Oxidative stress was indicated for some treatments and was not correlated with observed DNA damage. Application of a chemical dispersant increased the genotoxic potential rather by the increased bioavailability of dissolved and particulate oil compounds. Nonetheless, the dispersant induced a clear oxidative stress response, indicating a relevance for general toxic stress. Results showed that the combination of different in vitro assays is important for a reliable genotoxicity assessment. Especially, the ZF-L capable of active metabolism and DNA repair seems to be a promising model for WAF testing.Entities:
Keywords: Ames fluctuation assay; Nf2; U2-OS; WAF; ZF-L; chromosomal aberrations; crude oil; micronucleus assay; oxidative stress; refined fuels
Year: 2020 PMID: 32604793 PMCID: PMC7355774 DOI: 10.3390/toxics8020045
Source DB: PubMed Journal: Toxics ISSN: 2305-6304
Figure 1Overview of different WAF approaches and investigated endpoints. Low energy (LE-), chemically enhanced (CE-), and high-energy (HE-) WAFs of individual combinations were prepared according to Singer et al. [36]. The petroleum product types were combined with different dispersants due to oil-specific characteristics.
Target PAHs in LEWAF stocks (1:50) for cell exposure. LEWAF stocks were prepared in double-deionized water. PAHs were extracted after 40 h of mixing at 10 °C followed by 1 h of settling time using solid-phase micro extraction (SPME) for 2 h and analyzed using GC-MS. Results of the chemical analysis of NNS crude oil can be found in Johann et al. (2020) Table S1 in the SI. N.d. = not detected (below limits of quantification or limits of detection).
| Target Compound | MGO (µg L−1) | IFO180 [µg L−1] |
|---|---|---|
| Naphthalene | 229.52 | 219.80 |
| Fluorene | 6.10 | 4.64 |
| Phenanthrene | 7.33 | 8.77 |
| Anthracene | n.d. | 0.83 |
| Fluoranthene | 0.12 | 0.12 |
| Pyrene | 0.25 | 0.39 |
| 11h-benzo[a]fluorene | 0.34 | 0.34 |
| 11h-benzo[b]fluorene | 0.21 | 0.24 |
| Benzo[a]anthracene | 0.10 | 0.13 |
| Chrysene | 0.18 | 0.34 |
| Benzo[b]fluoranthene | 0.08 | 0.09 |
| Benzo[k]fluoranthene | 0.11 | 0.10 |
| Benzo[a]pyrene | 0.08 | 0.11 |
| Benzo[e]pyrene | 0.10 | 0.09 |
| Indeno[1,2,3 cd]pyrene | n.d. | n.d. |
| Dibenz[a,h]anthracene | n.d. | n.d. |
| Benzo[ghi]perylene | n.d. | n.d. |
| Dibenzo[a,e]pyrene | n.d. | n.d. |
| Σ PAHs | 244.50 | 235.99 |
Figure 2Induction of oxidative stress after exposure to WAF dilutions of petroleum products, dispersant, and inert oil in the Nrf2-CALUX® assay. Approaches include crude (NNS) and refined petroleum products (MGO, IFO 180), the dispersant Finasol OSR 51 (Fin51), and the inert oil Miglyol (Mig812). Based on luminescence data, the induction factors (IFs) were calculated as relative values to the background of the Curcumin calibration series. Symbols and error bars represent the mean IF of 3–4 independent experiments with standard deviation. HEWAFs were prepared using corresponding amounts to CEWAF approaches. A non-linear regression model with variable slope was used to fit the concentration–response curves in Prism 6 (GraphPad v 6).
Calculated specific activity of crude oil (NNS) and refined petroleum product (MGO, IFO 180) WAFs in the Nrf2-CALUX® assay for oxidative stress. Specific activity was calculated based on sample and curcumin (reference) concentrations, resulting in an induction factor (IF) of 1.5 corrected for the reference background and fitted with non-linear regression in Prism 6 (GraphPad. In the case when the specific activity was below the limit of quantification (LOQ), the mean LOQ was added in an additional column (n = 3–4).
| Treatment | Mean Specific Activity (ng Curc. µL−1 Sample) | SD | LOQ (ng Curc. µL−1 Sample) | SD |
|---|---|---|---|---|
| LEWAF NNS | <LOQ | 2.0 | 0.7 | |
| CEWAF NNS | 19.2 | 10.6 | ||
| LEWAF MGO | <LOQ | 2.7 | 1.1 | |
| CEWAF MGO | <LOQ | 8.2 | 1.5 | |
| LEWAF IFO 180 | 9.0 | 7.0 | ||
| CEWAF IFO 180 | <LOQ | 9.1 | 0.5 | |
| HEWAF Fin 51 | 21.0 | 8.4 | ||
| HEWAF Mig 812 | 20.0 | 13.2 | ||
| HEWAF Fin51/Mig812 | 32.1 | 33.7 |
Figure 3Micronucleus induction in ZF-L cells exposed to WAF dilutions of crude oil (NNS, a) and refined petroleum products (MGO, b, IFO 180, c) as well as dispersant combinations (HEWAF, d). The dispersant Finasol OSR 51® was tested in corresponding concentrations to the NNS CEWAF treatment. Bars represent the mean percentage of micronucleated cells (out of 2000 counted cells) with error bars indicating the standard deviation (n = 3–4). Negative- (NC), solvent- (SC, 0.1% DMSO) and positive (PC, 4-Nitrochinolin-1-oxide, 0.1% DMSO) controls were included. Chi2 test with Yates correction was used for statistical analysis. Asterisks indicate significantly higher micronuclei induction compared to controls (** p < 0.01, *** p < 0.001). All data met the validity criteria (NC micronuclei < 3%, PC significant micronuclei induction) defined by the ISO guideline 2147-2 on genotoxicity [45].
Calculated induction factors (IFs) of micronuclei formation in ZF-L cells exposed to WAF dilutions of crude oil (NNS) and refined petroleum products (MGO, IFO 180) as well as dispersant combinations (HEWAF). Mean IFs and standard deviations (SDs) were calculated as percentage micronuclei induction relative to an unexposed control of independent biological replicates (n = 3–4).
| Treatment | LEWAF (% of Stock) | IF Mean | SD | CEWAF (% of Stock) | IF Mean | SD |
|---|---|---|---|---|---|---|
| NNS | 50 | 2.01 | 0.29 | 1 | 2.61 | 0.73 |
| 25 | 1.11 | 0.16 | 0.5 | 2.37 | 0.79 | |
| MGO | 66 | 1.35 | 0.22 | 16 | 2.74 | 0.54 |
| 33 | 1.42 | 0.42 | 8 | 1.90 | 0.24 | |
| IFO 180 | 66 | 1.32 | 0.37 | 16 | 1.25 | 0.51 |
| 33 | 1.30 | 0.43 | 8 | 1.35 | 0.29 | |
| Fin51 | 1 | 1.33 | 0.09 | |||
| 0.5 | 1.24 | 0.12 | ||||
| Mig 812 | 1 | 0.97 | 0.14 | |||
| 0.5 | 1.04 | 0.14 | ||||
| Fin51/Mig812 | 1 | 1.32 | 0.38 | |||
| 0.5 | 1.30 | 0.20 |