Toxicity Testing in the 21st Century: An Integrated Approach to Genetic Safety Testing using the TGx-DDI Genomic Biomarker and High-Throughput CometChip®
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE196373 | GEO | 2022/08/02
REPOSITORIES: GEO
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Project description:The TGx-DDI is a transcriptomic biomarker used to predict the DNA damage-inducing (DDI) capability of chemicals by providing mechanistic information to aid in the interpretation of positive genotoxicity data. The biomarker was developed within the Health and Environmental Sciences Institute (HESI) and measures transcriptional changes in a set of primarily p53-responsive genes. We investigated three antibiotic drugs, nitrofurantoin (NIT), novobiocin sodium salt (NOV) and metronidazole (MTZ), with a long history of clinical use in human and/or veterinary applications. While all three drugs are considered safe, there is some evidence of chromosome damage with NIT and NOV. We conducted high-throughput CometChip and TGx-DDI assays to evaluate the drugs in a parallel test strategy to explore their toxicity using these newer mechanism-based tests. An extended concentration-response analysis was conducted in human TK6 cells (from 0 to 1 mM). The alkaline CometChip assay was used to measure DNA damage, while TGx-DDI was applied using TempO-Seq and NanoString technologies (in two different laboratories) to confirm reproducibility of the results. The CometChip was negative for all three drugs except at overtly cytotoxic concentrations, which were eliminated from the gene expression analysis. NIT and MTZ were classified as non-DDI by TGx-DDI at all concentrations tested. NOV classified as DDI at the highest concentrations tested. NOV is bacterial DNA-gyrase inhibitor that also acts as a topoisomerase II inhibitor at high concentrations. The TGx-DDI classification results were identical across laboratories/technologies. This case study demonstrates the utility of TGx-DDI to de-risk NIT and NOV, and the reproducibility of the biomarker.
2022-08-02 | GSE196369 | GEO
Project description:The TGx-DDI is a transcriptomic biomarker used to predict the DNA damage-inducing (DDI) capability of chemicals by providing mechanistic information to aid in the interpretation of positive genotoxicity data. The biomarker was developed within the Health and Environmental Sciences Institute (HESI) and measures transcriptional changes in a set of primarily p53-responsive genes. We investigated three antibiotic drugs, nitrofurantoin (NIT), novobiocin sodium salt (NOV) and metronidazole (MTZ), with a long history of clinical use in human and/or veterinary applications. While all three drugs are considered safe, there is some evidence of chromosome damage with NIT and NOV. We conducted high-throughput CometChip and TGx-DDI assays to evaluate the drugs in a parallel test strategy to explore their toxicity using these newer mechanism-based tests. An extended concentration-response analysis was conducted in human TK6 cells (from 0 to 1 mM). The alkaline CometChip assay was used to measure DNA damage, while TGx-DDI was applied using TempO-Seq and NanoString technologies (in two different laboratories) to confirm reproducibility of the results. The CometChip was negative for all three drugs except at overtly cytotoxic concentrations, which were eliminated from the gene expression analysis. NIT and MTZ were classified as non-DDI by TGx-DDI at all concentrations tested. NOV classified as DDI at the highest concentrations tested. NOV is bacterial DNA-gyrase inhibitor that also acts as a topoisomerase II inhibitor at high concentrations. The TGx-DDI classification results were identical across laboratories/technologies. This case study demonstrates the utility of TGx-DDI to de-risk NIT and NOV, and the reproducibility of the biomarker.
2022-08-02 | GSE196372 | GEO
Project description:Genotoxicity testing relies on the detection of gene mutations and chromosome damage and has been used in the genetic safety assessment of drugs and chemicals for decades. However, the results of standard genotoxicity tests are often difficult to interpret due to lack of mode of action information. The TGx-DDI transcriptomic biomarker provides mechanistic information on the DNA damage-inducing (DDI) capability of chemicals to aid in the interpretation of positive in vitro genotoxicity data. The CometChip® assay was developed to assess DNA strand breaks in a higher-throughput format. We paired the TGx-DDI biomarker with the CometChip® assay in TK6 cells to evaluate three model agents: nitrofurantoin (NIT), metronidazole (MTZ), and novobiocin (NOV). TGx-DDI was analyzed by two independent labs and technologies (nCounter® and TempO-Seq®). Although these anti-infective drugs are, or have been, used in human and/or veterinary medicine, the standard genotoxicity testing battery showed significant genetic safety findings. Specifically, NIT is a mutagen and causes chromosome damage, and MTZ and NOV cause chromosome damage in conventional in vitro tests. Herein, the TGx-DDI biomarker classified NIT and MTZ as non-DDI at all concentrations tested, suggesting that NIT's mutagenic activity is bacterial specific and that the observed chromosome damage by MTZ might be a consequence of in vitro test conditions. In contrast, NOV was classified as DDI at the second highest concentration tested, which is in line with the fact that NOV is a bacterial DNA-gyrase inhibitor that also affects topoisomerase II at high concentrations. The lack of DNA damage for NIT and MTZ was confirmed by the CometChip® results, which were negative for all three drugs except at overtly cytotoxic concentrations. This case study demonstrates the utility of combining the TGx-DDI biomarker and CometChip® to resolve conflicting genotoxicity data and provides further validation to support the reproducibility of the biomarker.
| S-EPMC9540394 | biostudies-literature
Project description:Toxicity Testing in the 21st Century: An Integrated Approach to Genetic Safety Testing using the TGx-DDI Genomic Biomarker and High-Throughput CometChip®
| PRJNA804528 | ENA
Project description:Higher-throughput, mode-of-action-based assays provide a valuable approach to expedite chemical evaluation for human health risk assessment. In this study, we combined the high-throughput alkaline DNA damage-sensing CometChip® assay with the TGx-DDI transcriptomic biomarker (DDI = DNA damage-inducing) using high-throughput TempO-Seq®, as an integrated genotoxicity testing approach. We used metabolically competent differentiated human HepaRG™ cell cultures to enable the identification of chemicals that require bioactivation to cause genotoxicity. We studied 12 chemicals (nine DDI, three non-DDI) in increasing concentrations to measure and classify chemicals based on their ability to damage DNA. The CometChip® classified 10/12 test chemicals correctly, missing a positive DDI call for aflatoxin B1 and propyl gallate. The poor detection of aflatoxin B1 adducts is consistent with the insensitivity of the standard alkaline comet assay to bulky lesions (a shortcoming that can be overcome by trapping repair intermediates). The TGx-DDI biomarker accurately classified 10/12 agents. TGx-DDI correctly identified aflatoxin B1 as DDI, demonstrating efficacy for combined used of these complementary methodologies. Zidovudine, a known DDI chemical, was misclassified as it inhibits transcription, which prevents measurable changes in gene expression. Eugenol, a non-DDI chemical known to render misleading positive results at high concentrations, was classified as DDI at the highest concentration tested. When combined, the CometChip® assay and the TGx-DDI biomarker were 100% accurate in identifying chemicals that induce DNA damage. Quantitative benchmark concentration (BMC) modeling was applied to evaluate chemical potencies for both assays. The BMCs for the CometChip® assay and the TGx-DDI biomarker were highly concordant (within 4-fold) and resulted in identical potency rankings. These results demonstrate that these two assays can be integrated for efficient identification and potency ranking of DNA damaging agents in HepaRG™ cell cultures.
| S-EPMC8416458 | biostudies-literature
Project description:Toxicity Testing in the 21st Century: An Integrated Approach to Genetic Safety Testing using the TGx-DDI Genomic Biomarker and High-Throughput CometChip® [NanoString]
| PRJNA804525 | ENA
Project description:Toxicity Testing in the 21st Century: An Integrated Approach to Genetic Safety Testing using the TGx-DDI Genomic Biomarker and High-Throughput CometChip® [Sequencing]
| PRJNA804534 | ENA
Project description:Cell-based application of a transcriptomic biomarker, TGx-DDI, in addressing potentially irrelevant positive findings in chromosome damage assays
2017-11-21 | GSE107162 | GEO
Project description:Gene expression biomarkers are now available for application in the identification of genotoxic hazards. The TGx-DDI transcriptomic biomarker can accurately distinguish DNA damage-inducing (DDI) from non-DDI exposures based on changes in the expression of 64 biomarker genes. The 64 genes were previously derived from whole transcriptome DNA microarray profiles of 28 reference agents (14 DDI and 14 non-DDI) after 4 h treatments of TK6 human lymphoblastoid cells. To broaden the applicability of TGx-DDI, we tested the biomarker using quantitative RT-PCR (qPCR), which is accessible to most molecular biology laboratories. First, we selectively profiled the expression of the 64 biomarker genes using TaqMan qPCR assays in 96-well arrays after exposing TK6 cells to the 28 reference agents for 4 h. To evaluate the classification capability of the qPCR profiles, we used the reference qPCR signature to classify 24 external validation chemicals using two different methods-a combination of three statistical analyses and an alternative, the Running Fisher test. The qPCR results for the reference set were comparable to the original microarray biomarker; 27 of the 28 reference agents (96%) were accurately classified. Moreover, the two classification approaches supported the conservation of TGx-DDI classification capability using qPCR; the combination of the two approaches accurately classified 21 of the 24 external validation chemicals, demonstrating 100% sensitivity, 81% specificity, and 91% balanced accuracy. This study demonstrates that qPCR can be used when applying the TGx-DDI biomarker and will improve the accessibility of TGx-DDI for genotoxicity screening. Environ. Mol. Mutagen. 60: 122-133, 2019. © 2018 Her Majesty the Queen in Right of Canada Environmental and Molecular Mutagenesis.
| S-EPMC6588084 | biostudies-literature
Project description:BackgroundModern testing paradigms seek to apply human-relevant cell culture models and integrate data from multiple test systems to accurately inform potential hazards and modes of action for chemical toxicology. In genetic toxicology, the use of metabolically competent human hepatocyte cell culture models provides clear advantages over other more commonly used cell lines that require the use of external metabolic activation systems, such as rat liver S9. HepaRG™ cells are metabolically competent cells that express Phase I and II metabolic enzymes and differentiate into mature hepatocyte-like cells, making them ideal for toxicity testing. We assessed the performance of the flow cytometry in vitro micronucleus (MN) test and the TGx-DDI transcriptomic biomarker to detect DNA damage-inducing (DDI) chemicals in human HepaRG™ cells after a 3-day repeat exposure. The biomarker, developed for use in human TK6 cells, is a panel of 64 genes that accurately classifies chemicals as DDI or non-DDI. Herein, the TGx-DDI biomarker was analyzed by Ion AmpliSeq whole transcriptome sequencing to assess its classification accuracy using this more modern gene expression technology as a secondary objective.MethodsHepaRG™ cells were exposed to increasing concentrations of 10 test chemicals (six genotoxic chemicals, including one aneugen, and four non-genotoxic chemicals). Cytotoxicity and genotoxicity were measured using the In Vitro MicroFlow® kit, which was run in parallel with the TGx-DDI biomarker.ResultsA concentration-related decrease in relative survival and a concomitant increase in MN frequency were observed for genotoxic chemicals in HepaRG™ cells. All five DDI and five non-DDI agents were correctly classified (as genotoxic/non-genotoxic and DDI/non-DDI) by pairing the test methods. The aneugenic agent (colchicine) yielded the expected positive result in the MN test and negative (non-DDI) result by TGx-DDI.ConclusionsThis next generation genotoxicity testing strategy is aligned with the paradigm shift occurring in the field of genetic toxicology. It provides mechanistic insight in a human-relevant cell-model, paired with measurement of a conventional endpoint, to inform the potential for adverse health effects. This work provides support for combining these assays in an integrated test strategy for accurate, higher throughput genetic toxicology testing in this metabolically competent human progenitor cell line.
| S-EPMC7001283 | biostudies-literature