Polycyclic Aromatic Hydrocarbons Activate the Aryl Hydrocarbon Receptor and the Constitutive Androstane Receptor to Regulate Xenobiotic Metabolism in Human Liver Cells.

Polycyclic aromatic hydrocarbons (PAHs) are environmental pollutants produced by incomplete combustion of organic matter. They induce their own metabolism by upregulating xenobiotic-metabolizing enzymes such as cytochrome P450 monooxygenase 1A1 (CYP1A1) by activating the aryl hydrocarbon receptor (AHR). However, previous studies showed that individual PAHs may also interact with the constitutive androstane receptor (CAR). Here, we studied ten PAHs, different in carcinogenicity classification, for their potential to activate AHR- and CAR-dependent luciferase reporter genes in human liver cells. The majority of investigated PAHs activated AHR, while non-carcinogenic PAHs tended to activate CAR. We further characterized gene expression, protein abundancies and activities of the AHR targets CYP1A1 and 1A2, and the CAR target CYP2B6 in human HepaRG hepatoma cells. Enzyme induction patterns strongly resembled the profiles obtained at the receptor level, with AHR-activating PAHs inducing CYP1A1/1A2 and CAR-activating PAHs inducing CYP2B6. In summary, this study provides evidence that beside well-known activation of AHR, some PAHs also activate CAR, followed by subsequent expression of respective target genes. Furthermore, we found that an increased PAH ring number is associated with AHR activation as well as the induction of DNA double-strand breaks, whereas smaller PAHs activated CAR but showed no DNA-damaging potential.

Application of Mass Spectrometry-Based Immunoassays for the Species- and Tissue-Specific Quantification of Banned Processed Animal Proteins in Feeds.

Processed Animal Proteins (PAPs) are considered as a sustainable protein source to improve the nutritional profile of feed for livestock and aquaculture. However, the use of these proteins is strongly regulated since the bovine spongiform encephalopathy (BSE) crisis. The reintroduction of nonruminant PAPs for use in aquaculture in 2013 has driven the need for alternative analytical methods to determine the species origin as well as the tissue source (legal or not). The current official methods, light microscopy and polymerase chain reaction, do not fulfill these requirements. Furthermore, future methods need to be quantitative, because the pending zero-tolerance-concept is planned to be replaced by accurate thresholds. Here, we developed a 7-plex mass spectrometry-based immunoassay that is capable of quantifying 0.1% (w/w) ruminant PAP in feed in a tissue- and species-specific way. The workflow comprises a 2 h tryptic digestion of PAPs in suspension, an immunoaffinity enrichment of peptides, and LC-MS/MS-based quantification. In combination with a previously published assay for species identification, we were able to confirm the species and tissue origin of six ring trial samples obtained in former PCR and microscopy proficiency tests. The sensitive, quantitative, species- and tissue-specific character of the developed assays meets the requirements for new methods for PAP detection and can be used in future feed authentication studies.

Mass Spectrometry-Based Immunoassay for the Quantification of Banned Ruminant Processed Animal Proteins in Vegetal Feeds.

The ban of processed animal proteins (PAPs) in feed for farmed animals introduced in 2001 was one of the main EU measures to control the bovine spongiform encephalopathy (BSE) crisis. Currently, microscopy and polymerase chain reaction (PCR) are the official methods for the detection of illegal PAPs in feed. However, the progressive release of the feed ban, recently with the legalization of nonruminant PAPs for the use in aquaculture, requires the development of alternative methods to determine the species origin and the source (legal or not). Additionally, discussions about the need for quantitative tests came up, particularly if the zero-tolerance-concept is replaced by introducing PAP thresholds. To address this issue, we developed and partially validated a multiplex mass spectrometry-based immunoassay to quantify ruminant specific peptides in vegetal cattle feed. The workflow comprises a new sample preparation procedure based on a tryptic digestion of PAPs in suspension, a subsequent immunoaffinity enrichment of the released peptides, and a LC-MS/MS-based analysis for peptide quantification using isotope labeled standard peptides. For the very first time, a mass spectrometry-based method is capable of detecting and quantifying illegal PAPs in animal feed over a concentration range of 4 orders of magnitude with a detection limit in the range of 0.1% to 1% (w/w).

Immunoaffinity proteomics for kidney injury biomarkers in male beagle dogs.

Drug-induced kidney injury (DIKI) is a cause of drug development failure. Dogs represent a common non-rodent animal model in pre-clinical safety studies; however, biomarker assays for detecting nephrotoxicity in dogs are limited. To identify novel proteins and gain insight into the molecular mechanisms involved in DIKI, we developed an assay to evaluate proteomic changes associated with DIKI in male beagle dogs that received nephrotoxic doses of tobramycin for 10 consecutive days. Label-free quantitative discovery proteomics analysis on representative kidney cortex tissues collected on Day 11 showed that the tobramycin-induced kidney injury led to a significant differential regulation of 94 proteins mostly associated with mechanisms of nephrotoxicity such as oxidative stress and proteasome degradation. For verification of the proteomic results, we developed a multiplex peptide-centric immunoaffinity liquid chromatography tandem mass spectrometry assay (IA LC-MS/MS) to evaluate the association of eight DIKI protein biomarker candidates using kidney cortices collected on Day 11 and urine samples collected on Days -4, 1, 3, 7 and 10. The results showed that most biomarkers evaluated were detected in the kidney cortices and their expression profile in tissue aligned with the label-free data. Cystatin C was the most consistent marker regardless of the magnitude of the renal injury while fatty acid-binding protein-4 (FABP4) and kidney injury molecule-1 (KIM-1) were the most affected biomarkers in response to moderate proximal tubular injury in absence of changes in serum-based concentrations of blood urea nitrogen or creatinine. In the urine, clusterin is considered the most consistent biomarker regardless of the magnitude and time of the renal injury. To our knowledge, this is the most comprehensive multiplex assay for the quantitative analysis of mechanism-based proximal tubular injury biomarkers in dogs.

Pesticide mixture effects on liver protein abundance in HepaRG cells.

Toxicological effects of chemicals are mostly tested individually. However, consumers encounter exposure to complex mixtures, for example multiple pesticide residues, by consuming food such as crops, fruits or vegetables. Currently, more than 450 active substances are approved in the European Union, and there is little data on effects after combined exposure to several pesticides. Toxicological animal studies would increase enormously, if pesticide combinations had to be analyzed in vivo. Therefore, in vitro methods addressing this issue are needed. We have developed 32 immunoaffinity-based mass spectrometry assays to investigate the impact of hepatotoxic active substances on liver proteins in human HepaRG cells. Five compounds were selected based on their (dis)similar capability to modulate protein levels, and on their combined use in commercially available formulations. Four binary mixtures were prepared from these five substances and tested in different concentrations over three time points. We applied a novel statistical method to describe deviations from additivity and to detect antagonistic and synergistic effects. The results regarding the abundance of hepatotoxicity-related proteins showed additive behavior for 1323 out of 1427 endpoints tested, while 104 combinatorial effects deviating from additivity, such as antagonism or synergism were observed.

An eight-compound mixture but not corresponding concentrations of individual chemicals induces triglyceride accumulation in human liver cells.

In real life, organisms are exposed to complex mixtures of chemicals at low concentration levels, whereas research on toxicological effects is mostly focused on single compounds at comparably high doses. Mixture effects deviating from the assumption of additivity, especially synergistic effects, are of concern. In an adverse outcome pathway (AOP)-guided manner, we analyzed the accumulation of triglycerides in human HepaRG liver cells by a mixture of eight steatotic chemicals (amiodarone, benzoic acid, cyproconazole, flusilazole, imazalil, prochloraz, propiconazole and tebuconazole), each present below its individual effect concentration at 1-3 µM. Pronounced and significantly enhanced triglyceride accumulation was observed with the mixture, and similar effects were seen at the level of pregnane-X-receptor activation, a molecular initiating event leading to hepatic steatosis. Transcript pattern analysis indicated subtle pro-steatotic changes at low compound concentrations, which did not exert measurable effects on cellular triglycerides. Mathematical modeling of mixture effects indicated potentially more than additive behavior using a model for compounds with similar modes of action. The present data underline the usefulness of AOP-guided in vitro testing for the identification of mixture effects and highlight the need for further research on chemical mixtures and harmonization of data interpretation of mixture effects.

A targeted transcriptomics approach for the determination of mixture effects of pesticides.

While real-life exposure occurs to complex chemical mixtures, toxicological risk assessment mostly focuses on individual compounds. There is an increasing demand for in vitro tools and strategies for mixture toxicity analysis. Based on a previously established set of hepatotoxicity marker genes, we analyzed mixture effects of non-cytotoxic concentrations of different pesticides in exposure-relevant binary mixtures in human HepaRG hepatocarcinoma cells using targeted transcriptomics. An approach for mixture analysis at the level of a complex endpoint such as a transcript pattern is presented, including mixture design based on relative transcriptomic potencies and similarities. From a mechanistic point of view, goal of the study was to evaluate combinations of chemicals with varying degrees of similarity in order to determine whether differences in mechanisms of action lead to different mixtures effects. Using a model deviation ratio-based approach for assessing mixture effects, it was revealed that most data points are consistent with the assumption of dose addition. A tendency for synergistic effects was only observed at high concentrations of some combinations of the test compounds azoxystrobin, cyproconazole, difenoconazole, propiconazole and thiacloprid, which may not be representative of human real-life exposure. In summary, the findings of our study suggest that, for the pesticide mixtures investigated, risk assessment based on the general assumption of dose addition can be considered sufficiently protective for consumers. The way of data analysis presented in this paper can pave the way for a more comprehensive use of multi-gene expression data in experimental studies related to mixture toxicity.

RNA-protein correlation of liver toxicity markers in HepaRG cells.

The liver is a main target organ for the toxicity of many different compounds. While in general, in vivo testing is still routinely used for assessing the hepatotoxic potential of test chemicals, the use of in vitro models offers advantages with regard to throughput, consumption of resources, and animal welfare aspects. Using the human hepatoma cell line HepaRG, we performed a comparative evaluation of a panel of hepatotoxicity marker mRNAs and proteins after exposure of the cells to 30 different pesticidal active compounds comprising herbizides, fungicides, insecticides, and others. The panel of hepatotoxicity markers included nuclear receptor target genes, key players of fatty acid and bile acid metabolism-related pathways, as well as recently identified biomarkers of drug-induced liver injury. Moreover, marker genes and proteins were identified, for example, S100P, ANXA10, CYP1A1, and CYP7A1. These markers respond with high sensitivity to stimulation with chemically diverse test compounds already at non-cytotoxic concentrations. The potency of the test compounds, determined as an overall parameter of their ability to deregulate marker expression in vitro, was very similar between the mRNA and protein levels. Thus, this study does not only characterize the response of human liver cells to 30 different pesticides but also demonstrates that hepatotoxicity testing in human HepaRG cells yields well comparable results at the mRNA and protein levels. Furthermore, robust hepatotoxicity marker genes and proteins were identified in HepaRG cells.

Transcript and protein marker patterns for the identification of steatotic compounds in human HepaRG cells.

Non-alcoholic fatty liver disease is a major health concern especially in Western countries. Animal studies suggest that certain chemicals may contribute to hepatocellular triglyceride accumulation, among them a number of hepatotoxic pesticidal active compounds. In order to improve the identification of potential liver steatosis inducers in vitro in a human cell culture system, HepaRG cells were treated with a selection of 30 steatotic or non-steatotic pesticides. Induction of triglyceride accumulation was monitored, and changes in the expression of hepatotoxicity marker genes were measured at the mRNA and protein levels. Based on these data, transcript and protein marker signatures predictive of triglyceride accumulation in HepaRG cells were derived. The predictive transcript set consisted of POR, ANXA10, ARG1, CCL20, FASN, INSIG1, SREBF1, CD36, CYP2D6, and SLCO1B1. The predictive protein set consisted of NCPR (POR), CYP2E1, CYP1A1, ALDH3A1, UGT2B7, UGT2B15, S100P, LMNA, and PRKDC. In conclusion, the present study presents for the first time transcript and protein marker patterns to separate steatotic from non-steatotic compounds in a human liver cell line.

Species Differentiation and Quantification of Processed Animal Proteins and Blood Products in Fish Feed Using an 8-Plex Mass Spectrometry-Based Immunoassay.

With the reintroduction of nonruminant processed animal proteins (PAPs) for use in aquaculture in 2013, there is a suitable alternative to replace expensive fish meal in fish feed. Nevertheless, since the bovine spongiform encephalopathy (BSE) crisis, the use of PAPs in feed is strictly regulated. To date, light microscopy and polymerase chain reaction are the official methods for proving the absence of illegal PAPs in feed. Due to their limitations, alternative methods for the quantitative species differentiation are needed. To address this issue, we developed and validated an 8-plex mass spectrometry-based immunoassay. The workflow comprises a tryptic digestion of PAPs and blood products in suspension, a cross-species immunoaffinity enrichment of 8 species-specific alpha-2-macroglobulin peptides using a group-specific antibody, and a subsequent analysis by ultrahigh-performance liquid chromatography coupled to tandem mass spectrometry for species identification and quantification. This workflow can be used to quantitatively determine the species origin in future feed authentication studies.