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1.
STAR Protoc ; 4(3): 102500, 2023 Sep 15.
Article in English | MEDLINE | ID: mdl-37616165

ABSTRACT

Here, we present an in vitro test battery to analyze chemicals for their potential to induce liver triglyceride accumulation, a hallmark of liver steatosis. We describe steps for using HepG2 and HepaRG human hepatoma cells in conjunction with a combination of several in vitro assays covering the different molecular initiating events and key events of the respective adverse outcome pathway. This protocol is suitable for assessing single substance effects as well as mixtures allowing their classification as steatotic or non-steatotic. For complete details on the use and execution of this protocol, please refer to Luckert et al. (2018),1 Lichtenstein et al. (2020),2 and Knebel et al. (2019).3.


Subject(s)
Adverse Outcome Pathways , Carcinoma, Hepatocellular , Fatty Liver , Humans , Fatty Liver/metabolism , Cell Line
2.
Food Chem Toxicol ; 166: 113212, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35690182

ABSTRACT

Toxicological risk assessment is essential in the evaluation and authorization of different classes of chemical substances. Genotoxicity and mutagenicity testing are of highest priority and rely on established in vitro systems with bacterial and mammalian cells, sometimes followed by in vivo testing using rodent animal models. Transcriptomic approaches have recently also shown their value to determine transcript signatures specific for genotoxicity. Here, we studied how transcriptomic data, in combination with in vitro tests with human cells, can be used for the identification of genotoxic properties of test compounds. To this end, we used liver samples from a 28-day oral toxicity study in rats with the pesticidal active substances imazalil, thiacloprid, and clothianidin, a neonicotinoid-type insecticide with, amongst others, known hepatotoxic properties. Transcriptomic results were bioinformatically evaluated and pointed towards a genotoxic potential of clothianidin. In vitro Comet and γH2AX assays in human HepaRG hepatoma cells, complemented by in silico analyses of mutagenicity, were conducted as follow-up experiments to check if the genotoxicity alert from the transcriptomic study is in line with results from a battery of guideline genotoxicity studies. Our results illustrate the combined use of toxicogenomics, classic toxicological data and new approach methods in risk assessment. By means of a weight-of-evidence decision, we conclude that clothianidin does most likely not pose genotoxic risks to humans.


Subject(s)
Mutagens , Transcriptome , Animals , DNA Damage , Guanidines , Humans , Mammals , Mutagenicity Tests/methods , Mutagens/toxicity , Neonicotinoids/toxicity , Rats , Risk Assessment , Thiazoles
3.
Int J Mol Sci ; 23(7)2022 Mar 22.
Article in English | MEDLINE | ID: mdl-35408779

ABSTRACT

Transcript signatures are a promising approach to identify and classify genotoxic and non-genotoxic compounds and are of interest as biomarkers or for future regulatory application. Not much data, however, is yet available about the concordance of transcriptional responses in different cell types or tissues. Here, we analyzed transcriptomic responses to selected genotoxic food contaminants in the human p53-competent lymphoblastoid cell line TK6 using RNA sequencing. Responses to treatment with five genotoxins, as well as with four non-genotoxic liver toxicants, were compared with previously published gene expression data from the human liver cell model HepaRG. A significant overlap of the transcriptomic changes upon genotoxic stress was detectable in TK6 cells, whereas the comparison with the HepaRG model revealed considerable differences, which was confirmed by bioinformatic data mining for cellular upstream regulators or pathways. Taken together, the study presents a transcriptomic signature for genotoxin exposure in the human TK6 blood cell model. The data demonstrate that responses in different cell models have considerable variations. Detection of a transcriptomic genotoxin signature in blood cells indicates that gene expression analyses of blood samples might be a valuable approach to also estimate responses to toxic exposure in target organs such as the liver.


Subject(s)
DNA Damage , Mutagens , Blood Cells , Humans , Liver , Mutagens/adverse effects , Transcriptome
4.
J Cell Mol Med ; 24(12): 6741-6749, 2020 06.
Article in English | MEDLINE | ID: mdl-32363733

ABSTRACT

In heart failure, high-fat diet (HFD) may exert beneficial effects on cardiac mitochondria and contractility. Skeletal muscle mitochondrial dysfunction in heart failure is associated with myopathy. However, it is not clear if HFD affects skeletal muscle mitochondria in heart failure as well. To induce heart failure, we used pressure overload (PO) in rats fed normal chow or HFD. Interfibrillar mitochondria (IFM) and subsarcolemmal mitochondria (SSM) from gastrocnemius were isolated and functionally characterized. With PO heart failure, maximal respiratory capacity was impaired in IFM but increased in SSM of gastrocnemius. Unexpectedly, HFD affected mitochondria comparably to PO. In combination, PO and HFD showed additive effects on mitochondrial subpopulations which were reflected by isolated complex activities. While PO impaired diastolic as well as systolic cardiac function and increased glucose tolerance, HFD did not affect cardiac function but decreased glucose tolerance. We conclude that HFD and PO heart failure have comparable effects leading to more severe impairment of IFM. Glucose tolerance seems not causally related to skeletal muscle mitochondrial dysfunction. The additive effects of HFD and PO may suggest accelerated skeletal muscle mitochondrial dysfunction when heart failure is accompanied with a diet containing high fat.


Subject(s)
Heart Failure/pathology , Mitochondria, Muscle/pathology , Muscle, Skeletal/pathology , Adenosine Diphosphate/metabolism , Animals , Body Weight , Cell Respiration , Diet, High-Fat , Electrocardiography , Heart Failure/diagnostic imaging , Male , Muscle, Skeletal/diagnostic imaging , Oxygen Consumption , Pressure , Rats, Sprague-Dawley
5.
Food Chem Toxicol ; 140: 111297, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32234424

ABSTRACT

The conventional approach for testing the genotoxic potential of chemicals in vitro includes a battery of bacterial and mammalian mutagenicity tests. Toxicogenomics analyses may provide information about DNA-damaging properties of test compounds but are not routinely used for identification of a genotoxic potential. In this study, metabolically active human HepaRG hepatocarcinoma cells were exposed to five food-relevant genotoxic carcinogens. Transcriptomic responses were analyzed using RNA sequencing technology and validated by real-time polymerase chain reaction. Biostatistical approaches revealed a characteristic transcript signature of 37 differentially expressed genes, which were commonly regulated by the test chemicals. Specificity of the transcript signature was confirmed by using non-genotoxic carcinogens as comparators. Pathway analyses showed that the obtained transcript signature was closely related to DNA damage response and p53 activation. In conclusion, we have established a characteristic transcript marker pattern to monitor genotoxicity in human HepaRG cells, and to distinguish genotoxic from non-genotoxic carcinogens. Our analyses underline that a common response related to DNA damages response, cell cycle alterations and cell death is initiated in HepaRG cells upon exposure to genotoxic compounds and allows for the identification of a common transcriptomic signature for genotoxic stress.


Subject(s)
Carcinoma, Hepatocellular/genetics , Food Contamination/analysis , Liver Neoplasms/genetics , Mutagens/toxicity , Transcriptome , Cell Line, Tumor , DNA Damage , Humans , RNA, Messenger/genetics , Sequence Analysis, RNA , Tumor Suppressor Protein p53/metabolism
6.
J Appl Toxicol ; 40(4): 448-457, 2020 04.
Article in English | MEDLINE | ID: mdl-31845381

ABSTRACT

Microarray approaches are frequently used experimental tools which have proven their value for example in the characterization of the molecular mode of action of toxicologically relevant compounds. In a regulatory context, omics techniques are still not routinely used, amongst others due to lacking standardization in experimental setup and data processing, and also due to issues with the definition of adversity. In order to exemplarily determine whether consensus transcript biomarker signatures for a certain toxicological endpoint can be derived from published microarray datasets, we here compared transcriptome data from human HepaRG hepatocarcinoma cells treated with different genotoxins, based on re-analyzed datasets extracted from the literature. Comparison of the resulting data show that even with similarly-acting compounds in the same cell line, considerable variation was observed with respect to the numbers and identities of differentially expressed genes. Greater concordance was observed when considering the whole data sets and biological functions associated with the genes affected. The present results highlight difficulties and possibilities in inter-experiment comparisons of omics data and underpin the need for future efforts towards improved standardization to facilitate the use of omics data in risk assessment. Existing omics datasets may nonetheless prove valuable in establishing biological context information essential for the development of adverse outcome pathways.


Subject(s)
Gene Expression Profiling , Hepatocytes/drug effects , Mutagenicity Tests , Mutagens/toxicity , Oligonucleotide Array Sequence Analysis , Transcriptome/drug effects , Animals , Cell Line, Tumor , Genetic Markers , Hepatocytes/metabolism , Hepatocytes/pathology , Humans , Reproducibility of Results , Risk Assessment
7.
Redox Biol ; 11: 502-515, 2017 04.
Article in English | MEDLINE | ID: mdl-28086197

ABSTRACT

The redox environment in cells and organisms is set by low-molecular mass and protein-bound thiols, with glutathione (GSH) representing a major intracellular redox buffer. Subtle thiol oxidation elicits signal transduction processes and adaptive responses to cope with stressors, whereas highly oxidizing conditions may provoke cell death. We here tested how thiol depletion affects life span, stress resistance and stress signaling in the model organism Caenorhabditis elegans. Diethyl maleate (DEM), an α,ß-unsaturated carbonyl compound that conjugates to GSH and other thiols, decreased C. elegans life span at a concentration of 1mM. In contrast, low and moderate doses of DEM (10-100µM) increased mean and maximum life span and improved resistance against oxidative stress. DEM-induced life span extension was not detectable in worms deficient in either the FoxO orthologue, DAF-16, or the Nrf2 orthologue, SKN-1, pointing to a collaborative role of the two transcription factors in life span extension induced by thiol depletion. Cytoprotective target genes of DAF-16 and SKN-1 were upregulated after at least 3 days of exposure to 100µM DEM, but not 1mM DEM, whereas only 1mM DEM caused upregulation of egl-1, a gene controlled by a p53-orthologue, CEP-1. In order to test whether depletion of GSH may elicit effects similar to DEM, we suppressed GSH biosynthesis in worms by attenuating γ-glutamylcysteine synthetase (gcs-1) expression through RNAi. The decline in GSH levels elicited by gcs-1 knockdown starting at young adult stage did not impair viability, but increased both stress resistance and life expectancy of the worms. In contrast, gcs-1 knockdown commencing right after hatching impaired nematode stress resistance and rendered young adult worms prone to vulval ruptures during egg-laying. Thus, modest decrease in GSH levels in young adult worms may promote stress resistance and life span, whereas depletion of GSH is detrimental to freshly hatched and developing worms.


Subject(s)
Caenorhabditis elegans Proteins/genetics , Glutamate-Cysteine Ligase/genetics , Glutathione/biosynthesis , Oxidative Stress/genetics , Repressor Proteins/genetics , Tumor Suppressor Protein p53/genetics , Animals , Caenorhabditis elegans/genetics , Caenorhabditis elegans/physiology , Cell Death/genetics , DNA-Binding Proteins/genetics , Dipeptides/metabolism , Forkhead Transcription Factors/genetics , Gene Expression Regulation, Developmental , Gene Knockdown Techniques , Glutathione/genetics , Maleates/metabolism , Oxidation-Reduction , Sulfhydryl Compounds/metabolism , Transcription Factors/genetics
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