Abstract The aim of this study was to elucidate how vitamin E (alpha tocopherol) may ameliorate the toxicity of the pesticide chlorpyrifos in Atlantic salmon. Freshly isolated hepatocytes were exposed to vitamin E, chlorpyrifos or a combination of vitamin E and chlorpyrifos (all 100 μM). Transcriptomics (RNA-seq) and metabolomics were used to screen for effects of vitamin E and chlorpyrifos. By introducing vitamin E, the number of upregulated transcripts induced by chlorpyrifos exposure was reduced from 941 to 626, while the number of downregulated transcripts was reduced from 901 to 742 compared to the control. Adding only vitamin E had no effect on the transcriptome. Jak-STAT signaling was the most significantly affected pathway by chlorpyrifos treatment according to the transcriptomics data. The metabolomics data showed that accumulation of multiple long chain fatty acids and dipeptides and amino acids in chlorpyrifos treated cells was partially alleviated by vitamin E treatment. Significant interaction effects between chlorpyrifos and vitamin E were seen for 15 metabolites, including 12 dipeptides. The antioxidant had relatively modest effects on chlorpyrifos-induced oxidative stress. By combining the two data sets, the study suggests that vitamin E supplementation prevents uptake and accumulation of fatty acids, and counteracts inhibited carbohydrate metabolism. Overall, this study shows that vitamin E only to a moderate degree modifies chlorpyrifos toxicity in Atlantic salmon liver cells. Introduction Several nutrients have modifying effects on the toxicity of contaminants. Interactions between nutrients and contaminants can enhance the protection against negative effects of unwanted compounds. For example, vitamin E (tocopherols), flavonoids, and fatty acids amend the toxicity of polycyclic aromatic hydrocarbons (PAHs) and pesticides [[27]1,[28]2,[29]3]. The mechanisms underlying such interactions are however often not very well characterized. Interactions between nutrients and contaminants are of particular interest in fish, and especially in farmed fish such as Atlantic salmon, with the recent replacement of fish-based feed ingredients with plant-based feed ingredients. Due to overfishing and reduced global stocks of fish used to produce commercial feeds [[30]4], the farming industry today uses salmon diets >60% of the fish oil replaced with plant oil, and with decreasing fishmeal inclusion levels [[31]5]. Dietary fatty acid composition can affect tissue fatty acids in Atlantic salmon in a tissue-dependent pattern [[32]6], especially in liver and white muscle [[33]7], and compromise the immune system of the fish [[34]8]. In addition, while fish-based oils are rich in alpha-tocopherol, plant-based feeds may contain more gamma-tocopherol. These forms of vitamin E, which have antioxidant and anti-inflammatory properties, may have different abilities to protect the fish against the effects of contaminants. With increasing inclusion of plant-based ingredients, feeds for Atlantic salmon may become contaminated with agricultural pesticides. Recently, wide-scale screening of fish feeds for contaminants has identified, among others, the insecticides chlorpyrifos-methyl and pirmiphos-methyl as possible threats for farmed salmon [[35]9]. New plant-based feeds thus not only alter the dietary balance of essential nutrients and change the nutritional composition of the fish, but also introduce contaminants not normally associated with salmon farming. The organophosphate pesticide chlorpyrifos is a broad-spectrum insecticide used to kill a wide variety of insects [[36]10]. It remains one of the most widely used agricultural organophosphate insecticides, and is currently in use in more than 100 countries worldwide [[37]11,[38]12,[39]13]. Chlorpyrifos is highly toxic to aquatic organisms including fish. It bioaccumulates in fish and has a 96-hour LC50 toxicity value in rainbow trout (Oncorhynchus mykiss) between 7.1 and 51 μg/L, depending on water temperature [[40]14]. Chlorpyrifos has at least three main modes of action in mammals. It inhibits the enzyme acetylcholinesterase (AChE), causes oxidative stress and endocrine disruption [[41]15]. In both mammals and fish, AChE inhibition is the main effect of chlorpyrifos exposure [[42]16]. The main detoxification system is via the cytochrome P450 enzyme system [[43]17]. Chlorpyrifos is completely metabolized to chlorpyrifos oxon and then to 3,5,6-trichloro-2-pyridinol (TCP) in the mammalian liver by cytochrome P450 system [[44]18]. The aim of this study was to evaluate whether vitamin E (alpha tocopherol) amends the toxicity of chlorpyrifos in Atlantic salmon. Vitamin E has been reported to be partially protective against chlorpyrifos in animal models [[45]19,[46]20,[47]21]. Freshly isolated primary hepatocytes were used as a model, and cells were either kept as control or treated with 100 μM alpha tocopherol, 100 μM chlorpyrifos or a combination of vitamin E and chlorpyrifos for 48 hours. Previous experiments have shown the chosen chlorpyrifos concentration to be non-cytotoxic to Atlantic salmon hepatocytes, but still high enough to induce marked transcriptional responses [[48]22]. Similar experiments have been conducted with vitamin E, providing the rationale for using the selected concentration of alpha tocopherol in the current study (unpublished data). Direct sequencing (RNA-seq) and metabolite profiling were used to screen for interactive effects between vitamin E and chlorpyrifos. To evaluate whether transcriptional profiling can be used to predict the metabolite outcome in the cells, we compared the significantly affected KEGG pathways, as identified with transcriptional profiling, with the predicted cellular responses based on affected metabolites. Materials and Methods Fish sampling and cell harvesting Fish sacrifice was conducted by the authors and approved by the Norwegian Animal Research Authority (NARA) via NIFES' Animal Care and Use Committee. Juvenile Atlantic salmon (Salmo salar) were obtained and kept at the animal holding facility at Industrilaboratoriet (ILAB), Bergen, Norway. The fish were fed once a day a special feed produced without synthetic antioxidants and with low levels of contaminants, delivered by EWOS, Norway (Spirit 400-50A HH, 6.0 mm). All glassware, instruments and solutions were autoclaved prior to liver perfusion. Hepatocytes were isolated from 6 male Atlantic salmon (mean±SEM: 555±20 g) with a two-step perfusion method earlier described by Søfteland et al. [[49]23]. The fish were sacrificed by terminal anaesthetization with tricaine methanesulfonate (MS-222) (200 mg/l). Harvesting of cells was conducted in agreement with and approved by national legislation. The final cell pellet was resuspended in L-15 medium containing 10% Fish serum (FS) from salmon (Nordic BioSite, Oslo, Norway), 1% glutamax (Invitrogen, Norway) and 1% penicillin-streptomycin-amphotericin (10000 units/ml potassium penicillin 10000 mcg/ml steptomycin sulfate and 25 μg/ml amphotericin B.) (Lonzo, Medprobe, Oslo, Norway). The Trypan Blue exclusion method was performed in accordance with the manufacturer’s protocol (Lonzo, Medprobe, Oslo, Norway) and was used to determine cells viability. The cell suspensions were plated on 2 μg/cm^2 laminin (Sigma-Aldrich, Oslo, Norway) coated culture plates (TPP, Trasadingen, Switzerland) and the hepatocytes were kept at 10°C in a sterile incubator without additional O[2]/CO[2] (Sanyo, CFC FREE, Etten Leur, Netherland). The following cell densities were used; 7.2×10^6 cells per well in 6-well plates (in 3 ml complete L-15 medium for transcriptional and metabolite profiling) and 0.2×10^6 cells per well in xCELLigence 96-well plates (in 0.2 ml complete L-15 medium for cytotoxicity screening). Exposure experiments The cells were cultured for 36–40 h prior to chemical exposure with exchange of medium (containing 10% FS) after 18–20 hours. For the exposure experiments, cells were treated with alpha tocopherol (100 μM), chlorpyrifos (100 μM) or a combination of alpha tocopherol (100 μM) and chlorpyrifos (100 μM) and harvested after 48 hours exposure. [50]Table 1 shows an overview of the number of samples collected for the two experiments. Chlorpyrifos was dissolved in DMSO. An equal amount of DMSO was used in all four experimental groups. Alpha tocopherol and chlorpyrifos were obtained from Sigma (Sigma-Aldrich, Oslo, Norway). The cells were exposed in triplicate wells using 6-well culture plates for the transcriptional and metabolite profiling, and in single 96-wells culture for the xCELLigence cytotoxicity screening. The exposure medium contained 1% FS. The exposure medium was exchanged with new medium after 18–20 hours and the chemical exposure was sustained for another 24 hours. Table 1. Number of samples used for the various analytical methods. Group RNA-seq (cells) Metabolomics (cells) Metabolomics exposure medium Description Control 6 6 1 Control (w/DMSO) Alpha tocopherol (100 μM) 6 6 1 Vitamin E (Vit E) exposed (w/DMSO) Chlorpyrifos (100 μM) 6 6 1 Chlorpyrifos (CPF) exposed (w/DMSO) Chlorpyrifos (100 μM) + Alpha tocopherol (100 μM) 6 6 1 Chlorpyrifos/vitamin E exposed (w/DMSO) [51]Open in a new tab Cytotoxicity screening Impedance-based real time detection of cellular viability was conducted using the xCELLigence system (Real-Time Cell Analyzer RTCA-SP, ACEA Biosciences, San Diego, USA), described in detail by Abassi et al. [[52]24]. Recording of cell index (CI) values and normalization was performed using the RTCA Software version 1.2.1. Primary hepatocyte cells were evenly distributed to 96-well E plates. Each well contained about 0.2 million cells. Coating and cell density optimization was ensured by preliminary experiments. The cells were allowed to attach to the 96-well E plates at room temperature (30 min) before being inserted in the cell incubator for continuous impedance recording. The real time cell monitoring was conducted at 10°C in an incubator without additional O[2]/CO[2] (Sanyo, CFC FREE, Etten Leur, Netherland), using the RTCA single plate xCELLigence platform. The data was collected with intervals of 2 min after compound exposure for 12 hours, and then every 15 min for 60 hours. For calculation of cell viability after 48 hours of exposure, the impedance signal was analyzed by normalizing data of each singe well to a reference time point set about one hour before the final exchange of exposure medium, or after about 38 hours of exposure: CI[(normalized)] = CI[time x]/CI[norm time] (termed “normalized cell index” or NCI). The NCI values were calculated from cells obtained from 6 different male fish (n = 6). Determination of cytotoxic effect was done according to the International standardized test for in vitro cytotoxicity ISO 10993-5:2009 [[53]25]. RNA isolation Hepatocyte cells from Atlantic salmon were treated with lysis buffer before homogenization with the Precellys 24 homogenizer by using ceramic beads CK28 (Bertin Technologies, Montigny-le-Bretonneux, France). The RNeasy Plus mini kit (Qiagen, Crawley, UK) was used to extract total RNA according to the manufacturer’s protocol. The RNA was eluted in 30 μl RNase-free MilliQ H[2]O and stored at −80°C before further processing. RNA quality and integrity were assessed with the NanoDrop ND-1000 UV-Vis Spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA) and the Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA, USA). The 260/280 and 260/230 nm ratios were 2.15 ± 0.00 and 2.20 ± 0.05 in cells, respectively (n = 24, mean ± SEM). The RNA 6000 Nano LabChip kit (Agilent Technologies, Palo Alto, CA, USA) was used to evaluate the RNA integrity of the samples. The RNA integrity number (RIN) was 9.5 ± 0.1 (n = 24) in liver (mean ± SEM). Direct RNA sequencing (RNA-seq) Direct RNA sequencing (RNA-seq) was used to screen for transcripts possibly affected by vitamin E (alpha tocopherol) and chlorpyrifos exposure in 24 Atlantic salmon hepatocyte cell cultures (about 7 mill. cells per culture). Poly (A) mRNA was isolated using magnetic beads with oligo (dT) from total RNA obtained from 24 cell cultures. Fragmentation buffer was added to shred mRNA to short reads. Using these short fragments (about 200 bp) as templates, random hexamer primers were applied to synthesize first-strand cDNA. Second-strand cDNA was synthesized using buffer, dNTPs, RNaseH, and DNA polymerase I. QiaQuick PCR extraction kit (Qiagen) was used to purify short double-stranded cDNA fragments. These fragments were then resolved with EB buffer for end reparation, added poly (A), and then ligated to the sequencing adapters. After agarose gel electrophoresis, the suitable fragments were selected for PCR amplification as templates. Finally, the libraries were sequenced using Illumina HiSeq 2000 (San Diego, CA, USA). An Atlantic salmon transcriptome assembled from liver tissue was used as a reference for alignment of the RNA-seq data (24 samples, 12 millions reads per sample). Unigenes were annotated with Blastx alignment between unigenes and the databases of NR, NT, SwissProt, KEGG, COG and GO. The DESeq software package was used to screen for differentially expressed genes (DEGs). The DESeq package is based on the negative binomial distribution, and provides a method to test for differential expression by use of a shrinkage estimator for the variance. We used P-adjustment ≤ 0.5 and the absolute value of log[2] ratio ≥ 1 as the threshold to judge the significance of gene expression difference. All RNA-seq work was performed by staff at the Beijing Genome Institute (BGI, Hong Kong). Metabolite profiling Global biochemical profiles were determined in 24 Atlantic salmon hepatocyte cell cultures. Each sample contained about 7 million cells. Samples were extracted and prepared for analysis using Metabolon’s standard solvent extraction method. The extracted samples were split into equal parts for analysis on GC/MS and LC/MS/MS platforms. The LC/MS portion of the platform was based on a Waters ACQUITY UPLC and a Thermo-Finnigan LTQ mass spectrometer, which consisted of an electrospray ionization (ESI) source and linear ion-trap (LIT) mass analyzer. The sample extract was split into two aliquots, dried, and then reconstituted in acidic or basic LC-compatible solvents, each of which contained 11 or more injection standards at fixed concentrations. One aliquot was analyzed using acidic positive ion optimized conditions and the other using basic negative ion optimized conditions in two independent injections using separate dedicated columns. Extracts reconstituted in acidic conditions were gradient eluted using water and methanol both containing 0.1% Formic acid, while the basic extracts, which also used water/methanol, contained 6.5mM Ammonium Bicarbonate. The MS analysis alternated between MS and data-dependent MS^2 scans using dynamic exclusion. The samples destined for GC/MS analysis were re-dried under vacuum desiccation for a minimum of 24 hours prior to being derivatized under dried nitrogen using bistrimethyl-silyl-triflouroacetamide (BSTFA). The GC column was 5% phenyl and the temperature ramp was from 40° to 300°C in a 16 minute period. Samples were analyzed on a Thermo-Finnigan Trace DSQ fast-scanning single-quadrupole mass spectrometer using electron impact ionization. Accurate Mass Determination and MS/MS fragmentation (LC/MS/MS) was based on Waters ACQUITY UPLC and a Thermo-Finnigan LTQ-FT mass spectrometer, which had a linear ion-trap (LIT) front end and a Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer backend. For ions with counts greater than 2 million, an accurate mass measurement could be performed. Accurate mass measurements could be made on the parent ion as well as fragments. The typical mass error was less than 5 ppm. Ions with less than two million counts require a greater amount of effort to characterize. Fragmentation spectra (MS/MS) were typically generated in data dependent manner, but if necessary, targeted MS/MS could be employed, such as in the case of lower level signals. Instrument variability was 4% for internal standards and total process variability for endogenous metabolites was 12%. The bioinformatics system consisted of four major components, the Laboratory Information Management System (LIMS), the data extraction and peak-identification software, data processing tools for QC and compound identification, and a collection of information interpretation and visualization tools for use by data analysts. Identification of known chemical entities was based on comparison to metabolomic library entries of purified standards. The metabolomics work was done by employees at Metabolon, USA. Statistics Gene expression levels were calculated by using the Reads per kb per million reads (RPKM) method [[54]26]. Screening of differentially expressed genes (DEGs) was done with pairwise comparison using the DESeq software [[55]27]. GO annotation was obtained from blastx searches against the NR database of NCBI by using BLAST2GO with default parameters (blastx E10^−5). Pathways enrichment analysis was done by annotation with the KEGG database (blastx E10^−5). Following normalization to total protein (Bradford assay) and log transformation, ANOVA contrasts were used to identify biochemicals that differed significantly between experimental groups. Analysis by two-way ANOVA identified biochemicals exhibiting significant interactions and main effects for experimental parameters of dietary nutrient or contaminant. Welch’s two-sample t-tests were used to identify biochemicals/metabolites that differed significantly between experimental groups (P<0.05). Correction for multiple testing was done with false discovery rate (FDR) using q-values (P-adj) [[56]28]. Statistical analyses of the log-transformed data were performed with the program “R” [[57]29]. The functional pathway analyses were generated through the use of IPA [[58]30]. Results Exposure experiment and cytotoxicity The different cell suspensions used in this study had cell viability between 89–96% as determined by the Trypan Blue exclusion method. After 48 hours of exposure, no significant effect of chlorpyrifos treatment was observed on cytotoxicity measured with the xCELLigence system. Neither did vitamin E supplementation, alone nor in combination with chlorpyrifos, have any effect on cytotoxicity (data not shown). Transcriptomics results On average, 12,085,418±62,567 single-end Illumina reads were sequenced from the cell culture samples (n = 24, mean±SEM). The reads were mapped to a liver Atlantic salmon transcriptome assembled from 65,863,720 paired-end Illumina reads. Total mapped reads were 10,163,717±62,277 (n = 24, mean±SEM) or about 84%. The reference transcriptome was made from a pool of total RNA obtained from liver of four juvenile Atlantic salmon. Assembly of the transcriptome created 156,417 contigs with an average length of 266 nucleotides (nts) and 65,519 unigenes with an average length of 571 nts, as well as 45,855 singletons. The number of unigenes annotated in various databases were: NR: 32,699, NT: 41,578, Swiss-Prot: 29,033, KEGG: 23,356, COG: 9,486, and GO: 22,371. [59]Table 2 shows an overview of the number of differentially expressed genes (DEGs) according to the transcriptional profiling. The DESeq method was used with a log2 ratio ≥1 (>2-fold change) and FDR-adjusted P-values (P-adj) <0.50 and <0.10. In the pairwise comparison (A versus B), the former one (A) is considered as the control, and the latter one (B) is considered as the treatment. Exposure to 100 μM chlorpyrifos significantly upregulated 942 transcripts and downregulated 901 transcripts. Treatment with 100 μM alpha tocopherol alone did not significantly affect any transcripts in the cells. Compared to the control, by adding alpha tocopherol to chlorpyrifos the number of significantly upregulated transcripts was lowered from 942 to 626 and the number of significantly downregulated transcripts was lowered from 901 to 742. A direct comparison between the chlorpyrifos and vitamin E treatment groups showed 636 upregulated and 834 downregulated transcripts. The comparison between the vitamin E and vitamin E plus chlorpyrifos treatment groups produced 495 upregulated and 399 downregulated transcripts. [60]S1 Dataset shows the gene lists from these pairwise comparisons. Using a stricter P-adj cut-off of <0.1, the corresponding numbers of significantly regulated genes from the pairwise comparisons were Control vs. CPF: 351 genes upregulated/182 genes downregulated, Control vs. CPF+VitE: 228 upregulated/140 downregulated, and CPF vs. VitE: 107 upregulated/306 downregulated. Since the primary goal of the transcriptional profiling was to identify biological processes, pathways and ontology categories, and not to identify specific biomarkers, gene lists created with the less strict P-adj cut-off was selected for downstream IPA analyses. With this approach, about 45% of the DEGs listed in [61]S1 Dataset and used for downstream analyses were identified with annotation (blastx search against the NR database, cut-off E10^–5). Table 2. Number of affected transcripts and metabolites using two different statistical stringencies. Statistical comparisons Significantly altered transcripts/metabolites Total transcripts Log2≥1 P-adj<0.50 Transcripts (⇵) Total transcripts Log2≥1 P-adj<0.10 Transcripts (⇵) Total metabolites P≤0.05 Metabolites (⇵) Total metabolites P<0.05