Journal of Veterinary Healthcare
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Research Article | Open Access
  • Available online freely | Peer Reviewed
  • Hepatic Metabolomics Profiling of Cyprinus Carpio after Acute Cypermethrin Toxicity

    Ola Habotta 1 2       Mamdouh Abouelmagd 2     Amal Halawa 2     Seiichi Uno 1    

    1Education and Research Center for Marine Resources and Environment, Faculty of Fisheries, Kagoshima University, Japan.

    2Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Mansoura University.

    Abstract

    In the current study, The GC-MS metabolomics approach was used to evaluate the effect of cypermethrin on the metabolic profile in liver tissue of common carp fish. Fish were exposed to low and high concentrations of cypermethrin (0.1 and 1 µg/L respectively) for 24 and 96 h with subsequent PCA analysis to illustrate the response of the metabolic system after exposure to the pyrethroid. Cypermethrin induced obvious alteration in the intermediates of TCA cycle and encouraged consumption of non-carbohydrate sources in liver at all-time points. Additionally, cypermethrin exposure reduced the level of several amino acids and induced damage to the nucleotides reflecting the effect of cypermethrin on purine metabolism. GC-MS based metabolomics approach is a new and powerful tool to understand the toxicological effects and the underlying mechanism of cypermethrin on fish.

    Received 01 Nov 2018; Accepted 15 Nov 2018; Published 16 Nov 2018;

    Academic Editor:Mohammed Elmetwally, Assistant Prof of Theriogenology,USA.

    Checked for plagiarism: Yes

    Review by: Single-blind

    Copyright©  2018 Ola Habotta, et al.

    License
    Creative Commons License    This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Competing interests

    The authors have declared that no competing interests exist.

    Citation:

    Ola Habotta, Mamdouh Abouelmagd, Amal Halawa, Seiichi Uno (2018) Hepatic Metabolomics Profiling of Cyprinus Carpio after Acute Cypermethrin Toxicity . Journal of Veterinary Healthcare - 1(4):16-28.
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    DOI10.14302/issn.2575-1212.jvhc-18-2455

    Introduction

    Pyrethroids are synthetic organic insecticides that are extensively used worldwide due to their low toxicity to mammals and effective insecticidal action comparing to organophosphorus compounds and other insecticides 1. On the other side, these chemicals have high aquatic toxicity because the ability of fish to metabolize and eliminate such xenobiotics is limited 2. Pyrethroids are classified into two types; type I and type II depending on their chemical structure. Cypermethrin is a common use highly active type II synthetic pyrethroid insecticide that is chemically modified via the addition of α-cyano group at the phenoxybenzyl alcohol moiety resulting in improving of its photo-stability and potentiating of its toxicity than that of type I. Cypermethrin caused behavioural changes together with alterations in nitrogen, nucleic acid and acetylcholine esterase activity 3, 4, 5, 6, 7. Previous studies illustrated the toxic effects of cypermethrin in fish, but there are only few reports demonstrated the metabolic disorders in the whole body.

    Recently, metabolomics have been used for comprehensively understand the response of fish to various environmental pollutants such as butachlor 8, 2,4 dichlorophenol 9, fluoxetine 10, epoxiconazole 11, diclofenac 12 and short-chain chlorinated paraffins 13. Metabolomics techniques have been providing new possibilities to unravel the modes of action of chemicals 14, besides discovery of new biomarkers 15. Metabolomics based toxicity evaluations are very effective to detect the effect of environmental toxicants even at very low concentrations. The metabolic stress is the first response to physical and chemical stressors; therefore, metabolomics is powerful tool to determine the perturbations of the metabolome that often take place much earlier than other biological changes such as histopathological changes, growth retardation and mortality 16.

    The present study, for the first time, was designed to assess the effects of cypermethrin on the metabolic profile in hepatopancreas of Japanese carp under laboratory conditions using metabolomics strategy with the gas chromatography/mass spectrometry.

    Materials and Methods

    Chemicals

    Cypermethrin standard, Chloroform, acetone, hexane with pesticide-analytical grade, methanol with HPLC analytical grade, O-Methyl-hydroxylammonium chloride (methoxylamine hydrochloride) and dehydrated pyridine were purchased from Wako Pure Chemicals (Osaka, Japan). N-methyl-N-(trimethylsilyl)-trifluoroacetamide with 1% trimethylchlorosilane (MSTFA + 1%TMCS) was purchased from Thermo Fisher Scientific Inc. (PA, USA).

    Exposure of Fish to Cypermethrin

    Japanese carp with average weight 25-30 g were purchased from a private fish farm in Kagoshima Prefecture, Japan. The fish were acclimatized for two months under the laboratory conditions before starting the experiment. During adaptation period, fish were fed a commercial fish meal (Nippon Formula Feed Manufacturing, Yokohama, Japan) several times at a feeding rate of 1% fish weight per day 17.

    In this study, thirty six carp fish was kept in three aquariums. The feeding was stopped 24 hours before exposure. Fish were divided into three groups (n = 3); first group was the control one (cypermethrin free) and the other two groups were exposed to two concentrations of 0.1 (L-group) and 1 µg/L (H-group) of waterborne cypermethrin solved by for 24 and 96 hours. The concentration of L-group was established similar with that in the aquatic environment. The reported water concentrations of CYP vary from area to another; it was less than 3.5 µg/L in Parana River water in Argentina 18, about 3.55 µg/L Mekong Delta of Vietnam 19. Meanwhile, the concentration of H-group was based from reported 96 hours LC50 of cypermethrin under acetone solvent condition in Cyprinus carpio as 1.7 µg/L 20. Fish were kept in glass tanks (40 L) with mild aeration. The water temperature was maintained at 24±1 ºC, pH was 6±1 and dissolved oxygen concentration was 5±1 mg/L. Photoperiod was 12 h light/12 h dark cycles. The control and test water was completely replaced once per day with dechlorinated tap water left for one day before use.

    During sampling, 2-phenoxyethanol of 500 mL/L was used as anaesthetic agent. Hepatopancrease tissues were collected at 24 and 96 h from each group (n = 6). Immediately after sampling, the tissues were frozen by liquid nitrogen to stop the metabolic and enzyme actions and stored at – 80 ºC until metabolomics analysis.

    Samples Preparation for Metabolomics Analysis

    Hepatopancrease tissue samples (ranging from 10-15 mg for each) were placed in a 2-mL PP microtube and 1 mL of a mixture of chloroform, methanol, and Milli-Q water (1:2:0.8, v/v/v) was added, together with a zirconia ball (diameter 5 mm). The microtube was vigorously shaken for 6 min by a sample disruption system (Tissue Lyser II, QIAGEN, and Hilden, Germany). Then, 500 µl of an equal mixture of chloroform and Milli-Q water (1:1, v/v) was added to the tube, which was centrifuged at 12,000×g (4°C) for 10 min. The upper layer from each sample was collected, placed in another 2 mL PP microtube and dried completely in a vacuum centrifuge drier (TAITEC,vc-15sp, Japan).

    Derivatization of liver metabolites was performed in two steps. The first, oximation was done by adding 10 μL of a methoxylamine hydrochloride solution prepared by dissolving methoxylamine hydrochloride in pyridine (40 mg/mL) to the dried residue by means of continuous shaking in a water bath at 30°C for 90 min. Secondly, the silylation was done by addition of 90 μL of MSTFA + 1% TMCS to the mixture at water bath at 37°C for 30 min. After derivatization, 100 μL of hexane was added to each sample. The resulting solution was diluted 10-folds and used for analysis.

    GC/MS Analysis

    Metabolites were analysed on an Agilent Technologies 6890 Series gas chromatograph equipped with a 5973 MSD mass selective detector and a DB 5-ms capillary column (i.d.0.25 mm×30 m, 0.25-μm film thickness; J&W Scientific, USA). One microliter of each sample was injected into the column. The temperatures of the injector and detector were 250 and 290°C, respectively. The oven temperature program was as follows: 60°C for 1 min, increase to 325°C at 10°C/min, and then fixed at 325°C for 12 min.

    Statistical Analysis

    After getting the peaks on the chromatogram, the baseline was drawn to obtain peak area, deconvoluted, and aligned using MetAlign™ (ver. 080311, Wageningen University, Wageningen, the Netherlands). The area obtained from each peak was divided by the weight of each fish and normalized to the internal standard 16. The resultant value was multiplied by 105 and analysed by principal component analysis (PCA) that was performed for metabolites to evaluate the differences of the toxic effects among the groups. PCA score plots and component loadings were used to evaluate the clustering of metabolites along the plot and their contribution to the difference after exposure to cypermethrin. Statistical analysis was performed with the R programming language (http://www.rproject.org/). For all results, p value < 0.05 was considered significant 16.

    Results and Discussion

    GC/MS Analysis

    More than 300 individual metabolite peaks can be detected by GC/MS. The current work focused on the endogenous metabolites related to amino acids, intermediates of kerbs cycle and purines. The statistical analyses were done only using the identified metabolites.

    Pattern Recognition in Liver Tissue Metabolites

    The principal components analysis (PCA) was performed to comprehensively illustrate the variations in the metabolite levels among the groups in response to cypermethrin exposure. At 24 h, the control group clustered on the left side of the plot related to PC1 and the (L & H) groups clustered on the right side of the plot (Figure 1-A). The separation along the PC1 indicated the effects common to the exposure while the separation along PC2 indicated the effects related mainly to the high group. PC1 and PC2 represented 58.44 % and 14.31 % for the variance.

    At 96 h, the control group clustered in the left side of the plot while the exposure groups clustered on the right side of the plot along the PC1 which accounted for 65.91 % of the variance (Figure 1-B). Adversely, there is little clustering of the data along PC2 which accounted for 14.77 % for the variance. That strong clustering along the PC1 indicated the intense metabolic perturbation by cypermethrin exposure according to its concentration. (Table 1)

    Table 1. Corresponding PC1 and PC2 loading for individual metabolites at 24 and 96 hours.
    A: 24 hours
    Name PC1 PC2
    Malate -0.85797* 0.14649
    Lysine -0.66008* -0.423
    Creatinine -0.52999 -0.61793*
    Alanine -0.84481* -0.43612
    Aspargine -0.50666* -0.29935
    Proline -0.82891* -0.40608
    Ornithine -0.80498* 0.359076
    Valine -0.97204* -0.10331
    lactate -0.64619* -0.21878
    Urea -0.89993* -0.13616
    Histidine -0.93515* 0.300591
    Oxoproline -0.77729* 0.31973
    Glutamate -0.5358* -0.07439
    Leucine -0.79748* -0.50501
    Isoleucine -0.94972* 0.096938
    Pyruvate -0.51516* -0.53184
    Glycine -0.91475* 0.079476
    Methionine -0.94499* 0.172978
    succinate -0.50878* 0.018358
    Tryptophan -0.82686* 0.450307
    Serine -0.92173* -0.30686
    Glycerol -0.86238* -0.26837
    Inosine -0.6052* 0.615485*
    Thereonine -0.98285* 0.016507
    Phenylalanine -0.82766* 0.457088
    Tyrosine -0.93696* 0.034436
    Hydroxyproline -0.71302* 0.550687
    aspartic acid -0.80332* 0.025751
    Fumerate -0.93738* -0.07549
    Glutamate -0.63912* -0.44724
    Hypoxanthine -0.70727* 0.080616
    Lysine -0.85577* 0.247021
    Xanthine -0.82646* 0.440056
    glycerol3p -0.69314* 0.471301
    Glucose -0.76211* 0.032005
    B: 96 hours
    Metabolite PC1 PC2
    Malate -0.9753* 0.095294
    Lysine -0.68679* 0.515889
    Creatinine -0.88979* 0.211371
    Alanine -0.88751* -0.41011
    Aspargine -0.31837 0.715191*
    Proline -0.97031* -0.12149
    ornithine -0.39311 0.315493
    Valine -0.98063* -0.1487
    Lactate -0.85688* -0.37907
    Urea -0.57937* -0.56611
    Histidine -0.79667* 0.571266
    Oxoproline -0.96835* 0.186739
    Glutamate -0.72805* 0.629791
    Leucine -0.84316* -0.4391
    Isoleucine -0.96643* 0.094864
    Pyruvate -0.73761* -0.49588
    Glycine -0.94399* -0.28949
    Methionine -0.96643* 0.073764
    succinate -0.56547 -0.35331
    Tryptophan -0.71416* 0.674728*
    Serine -0.9165* -0.15294
    Glycerol -0.89188* -0.03128
    inosine -0.31595 0.625355*
    Thereonine -0.97947* 0.059793
    Phenylalanine -0.91975* 0.10664
    Tyrosine -0.9694* -0.04208
    Hydroxyproline -0.93652* 0.23991
    aspartic acid -0.91243* 0.098791
    Fumerat -0.91265* 0.175854
    Glutamate -0.9408* -0.15725
    hypoxanthine -0.41796 -0.54054
    Lysin -0.95003* 0.097352
    Xanthine -0.50054 0.726341*
    glycerol3p -0.69828* 0.048967
    Glucose -0.84863* -0.13604

    * P<0.05

    Figure 1. Principle component analyses (PCA) score plots of liver metabolites of carp at 24 h (A) and 96 h (B) after exposure to cypermethrin. The contribution percent of each component is presented along the x and y axis in relation to pc1 and pc 2 respectively. Ct: control group; L: low concentration; H: high concentration.
    Figure 1.

    Energy Balance and Tricarboxylic Acid Cycle (TCA)

    Mitochondria are the power house of the cell responsible for energy supply 21. Glucose is the main source for energy and converted via glycolysis to pyruvate which is then transferred into mitochondria to produce ATP through the TCA cycle and the mitochondrial respiratory chain 22. TCA cycle is a sequence of chemical reactions take place in all living organisms to get energy and it has a vital importance to many biochemical pathways 23. Under normal conditions, the glucose oxidation occurs through aerobic respiration; while under hypoxia, the major energy supply shifted to anoxic or anaerobic respiration, which is less efficient than aerobic respiration in energy production 24. Previous studies found that exposure to CYP caused severe gill alterations; hyperplasia of lamellar cells, telangiectiasis of lamellae and thickening due to cellular infiltration, highly active mucous cells and fusion of secondary lamellae and epithelial lifting 25, 26. Oxygen transport was affected by gill damage predicting a hypoxic condition. Compared to the control group, a reduction in pyruvate level at 96 h (loading values are 0.5 for PC1 and 0.5 for PC2) was observed (Figure 2). Pyruvate supplies energy through both aerobic and anaerobic respiration, and the other TCA intermediates like succinate, fumerate and malate (Figure 2) suggesting that the TCA cycle was negatively disturbed due to the detrimental effect of cypermethrin on the mitochondrial membrane. This observation of high energy consumption is consistent with previous studies in fishes in which neural hyperexcitability and inhibition of the TCA cycle have been proposed to explain the high demand of energy of organisms under various stress conditions27, 28, 29, 30 . In the present study, the level of lactate was decreased at 96 h (loading value is 0.8 for PC1) (Figure 2) revealed its excessive consumption to replenish insufficient energy production 24. Therefore, its low level may pointed to its use as source of energy in the situation of glucose scarcity. Additionally, cypermethrin decreased the glycerol level at 96 h (loading value is 0.8 for PC1) (Figure 2) in response to such urgent need to glucose which in turn leads to activation of gluconeogenesis to get glucose from non-carbohydrate sources as fats and ketone bodies 31, 32.

    Figure 2. Disorders of TCA cycle, glycolysis and gluconeogenesis at 24, and 96 h of exposure for control group (blue), L group (red), and H group (green) (A) and the variations of creatinine level (B) in liver of carp fish. The values on the y-axis were normalized, divided by fish weight, and multiplied by 105 (unit, mg−1). Results are represented as means ± SE.
    Figure 2.

    Amino Acid Metabolism

    Catabolism of proteins and amino acids contribute to a great extent to the total energy production in fishes. Exposure of carp to cypermethrin in the current study resulted in a decline in the hepatic level of most amino acids. These results are in agreement with David et al., 2004 3 after exposure of carp to 1.2 µg/L cypermethrin for 48 h. Protein depletion in liver is considered as a compensatory mechanism to provide intermediates necessary for kreb’s cycle and overcoming the energy crisis occurred as a result of exposure to cypermethrin.

    The present outcomes revealed significant reduction in the levels of the BCAAs (leucine, isoleucine and valine) in L- and H- groups at both 24 and 96 h time points compared to control group (Figure 3). Branched chain amino acids (BCAAs) are essential amino acids and are important for protein synthesis. Similar results were observed after exposure of goldfish to lambda-cyhalothrin at concentration 0.012 µg/L for 7 days 24. The decreased levels of BCAAs suggested their usage in synthesis of proteins in response to their damage. BCAAs could stimulate the ventilatory response, were consumed to survive difficult respiration and were involved in energy metabolism 33. Leucine can be degraded to form metabolites such as acetoacetate and acetyl-CoA that play a role in the TCA cycle while valine acts as an intermediary metabolite, forming succinyl-CoA 34, 35. Alanine is a non-essential amino acid that synthetized in the body via conversion of pyruvate. Alanine is a major raw material for gluconeogenesis and is produced by skeletal muscles and erythrocytes 36. Therefore, changes in the levels of alanine in fish under stress suggest its usage in the pathway of gluconeogenesis. In the present study, a reduction in the level of alanine was observed at 96 h (loading value is 0.8 for PC1) (Figure 4).

    Figure 3. Levels of essential amino acid at 24 and 96 h of exposure for the control group (blue), L group (red), and H group (green) in liver of carp fish. The values on the y-axis were normalized, divided by fish weight, and multiplied by 105 (unit, mg−1). Results are represented as means ± SE.
    Figure 3.

    Figure 4. Levels of non-essential amino acid amounts at 24 and 96 h of exposure for the control group (blue), L group (red), and H group (green) in liver of carp fish. The values on the y-axis were normalized, divided by fish weight, and multiplied by 105 (unit, mg−1). Results are represented as means ± SE.
    Figure 4.

    Glycine and serine are interconverted primarily in liver and kidneys and they participate in gluconeo genesis, sulfur amino acid metabolism and fat digestion 37. Both amino acids work to maintain blood sugar level. In the present study, their levels were decreased after cypermethrin exposure may refer to the disturbance in serine glycine pathway and glucose synthesis during CYP stress (Figure 4). Similar effects were reported in zebrafish exposed to acetamiprid and halosulfuron-methyl either individually or combined 23.

    Effect on Purine Metabolism

    The purine nucleotides serve as structural components of DNA and RNA molecules, cofactors of many metabolic processes and a source of energy provider adenosine triphosphate (ATP) 38. In the present work, the reduction of xanthine and elevation of hypoxanthine in liver in H-group at both 24 and 96 h time points (Figure 5) suggesting that cypermethrin considerably disturbed purine metabolism in carp fish proposing neurotoxic effects. Exposure of zebrafish larvae to short-chain chlorinated paraffins (SCCPs), acetamiprid and halosulfuron-methyl resulted in similar results 13. Particular neuro-studies proved that the alteration of purine metabolism in human body is highly related to numerous nervous system diseases, such as Alzheimer's disease 39 and Parkinson's disease 40.

    Figure 5. Disorder of nucleoside metabolism at 24 and 96 h of exposure for the control group (blue), L group (red), and H group (green) in liver of carp fish. The values on the y-axis were normalized, divided by fish weight, and multiplied by 105 (unit, mg−1). Results are represented as means ± SE
    Figure 5.

    Conclusion

    Using GC–MS metabolomics approach, cypermethrin at environmentally relevant concentrations induced alterations in numerous metabolites in hepatic tissue of zebrafish represented by energy imbalance, disturbance in Kreb's cycle, modification in amino acid metabolism, detrimental effects on nucleotide metabolism and carcinogenic tendency.

    Overall, the present outcomes showed the potential of GC-MS based metabolomics approach to unravel the toxicological effects of cypermethrin and its underlying mechanisms.

    Acknowledgements

    The First author (Ola Habotta) would like to thank the Egyptian Ministry of Higher Education for giving her the opportunity to study at Kagoshima University under dual supervisions. She appreciates the support from the Egyptian Ministry of Higher Education according to 2014/2015 plan, Egyptian Cultural and Educational Bureau (Tokyo, Japan), Cultural Affairs and Mission Sector.

    References

    1.Tang W.(2017)Pyrethroid pesticide residues in the global environment: An overview.Chemosphere.
    2.Demoute J P. (1989) brief review of the environmental fate and metabolism of pyrethroids.Pesticide. , Science 27(4), 375-385.
    3.David M. (2004) et al.,Response of Cyprinuscarpio(Linn) to sublethal concentration of cypermethrin: alterations in protein metabolic profiles.Chemosphere. 56(4), 347-352.
    4.Kumar A, Sharma B, S R. (2007) Pandey,Preliminary evaluation of the acute toxicity of cypermethrin and λ-cyhalothrin toChannapunctatus.Bulletin of environmental contamination and toxicology. 79(6), 613-616.
    5.Kumar A, Sharma B, S R. (2008) Pandey,Cypermethrin and λ-cyhalothrin induced alterations in nucleic acids and protein contents in a freshwater fish,Channapunctatus.Fish physiology and biochemistry. 34(4), 331-338.
    6.Kumar A, Sharma B, S R. (2009) Pandey,Cypermethrin and λ-cyhalothrin induced in vivo alterations in nucleic acids and protein contents in a freshwater catfish,Clariasbatrachus(Linnaeus;. , Family-Clariidae).Journal of Environmental Science 44(6), 564-570.
    7.Kumar A, Sharma B, S R. (2011) Pandey,Cypermethrin induced alterations in nitrogen metabolism in freshwater fishes.Chemosphere. 83(4), 492-501.
    8.Xu H-D. (2015) et al.,1H NMR based metabolomics approach to study the toxic effects of herbicide butachlor on goldfish (Carassiusauratus).Aquatic Toxicology. 159-69.
    9.Kokushi E. (2017) et al.,Evaluation of 2, 4-dichlorophenol exposure of Japanese medaka,Oryziaslatipes, using a metabolomics approach.Environmental Science and Pollution Research. 24(36), 27678-27686.
    10.Mishra P, Gong Z, C B. (2017) Kelly,Assessing biological effects of fluoxetine in developing zebrafish embryos using gas chromatography-massspectrometry basedmetabolomics.Chemosphere. 188, 157-167.
    11.Wang Y. (2017) et al.,Enantioselective bioaccumulation following exposure of adult zebrafish (Danio rerio) to epoxiconazole and its effects on metabolomic profile as well as genes expression.Environmental Pollution. 229-264.
    12.Bonnefille B. (2018) et al.,Metabolomics assessment of the effects of diclofenac exposure on Mytilusgalloprovincialis: Potential effects on osmoregulation and reproduction.Science of The Total Environment. 613-611.
    13.Ren X. (2018) et al.,Developmental and metabolic responses of zebrafish (Danio rerio) embryos and larvae to short-chain chlorinated paraffins (SCCPs) exposure.Science of The Total Environment. 622-214.
    14.K A Aliferis, S. (2011) Jabaji,Metabolomics–a robust bioanalytical approach for the discovery of the modes-of-action of pesticides: a review.Pesticide Biochemistry and physiology. 100(2), 105-117.
    15.A L Miracle, T G. (2005) Ankley,Ecotoxicogenomics: linkages between exposure and effects in assessing risks of aquatic contaminants to fish.Reproductive Toxicology. 19(3), 321-326.
    16.Uno S. (2012) et al.,Gas chromatography–mass spectrometry for metabolite profiling of Japanese medaka (Oryziaslatipes) juveniles exposed to malathion.Environmental Science and Pollution Research. 19(7), 2595-2605.
    17.Kokushi E. (2015) et al.,Effects of chlorpyrifos on the metabolome of the freshwater carp, Cyprinuscarpio.Environmental toxicology. 30(3), 253-260.
    18.Marino D, A. (2005) Ronco,Cypermethrin and chlorpyrifos concentration levels in surface water bodies of the PampaOndulada, Argentina.Bulletin of environmental contamination and toxicology. 75(4), 820-826.
    19.P Van Toan. (2013) et al.,Pesticide management and their residues in sediments and surface and drinking water in the Mekong Delta, Vietnam.Science of the Total Environment. 452-28.
    20.Saha S, A. (2008) Kaviraj,Acute toxicity of synthetic pyrethroid cypermethrin to some freshwater organisms.Bulletin of environmental contamination and toxicology. 80(1), 49-52.
    21.Schieber M, S N. (2014) Chandel,ROS function in redox signaling and oxidative stress.Curr Biol. 24(10), 453-62.
    22.M H Li. (2017) et al.,Metabolic profiling of goldfish (Carassiusauratis) after long-term glyphosate-based herbicide exposure.Aquat Toxicol. 188, 159-169.
    23.Zhang H, L. (2017) Zhao,Influence of sublethal doses of acetamiprid andhalosulfuron-methyl on metabolites of zebra fish (Brachydaniorerio).Aquat Toxicol. 191, 85-94.
    24.Li M. (2014) et al.,NMR-based metabolomics approach to study the toxicity of lambda-cyhalothrin to goldfish (Carassiusauratus).Aquat Toxicol. 146-82.
    25.Arslan H, Özdemir S, S. (2017) Altun,Cypermethrintoxicationleads to histopathological lesions and induces inflammation and apoptosis in common carp (CyprinuscarpioL.).Chemosphere. 180, 491-499.
    26.Babu V. (2014) et al.,Surface structures of gill, scale and erythrocyte of Anabastestudineusexposed to sublethal concentration of cypermethrin.Environ Toxicol Pharmacol. 37(3), 1109-15.
    27.Albrecht J, Glucose-derived. (2003) osmolytes and energy impairment in brain edema accompanying liver failure: the role of glutamine reevaluated.Gastroenterology. 125(3), 976-978.
    28.Zhang L. (2011) et al.,Ammonia sensing by neuroepithelial cells and ventilatory responses to ammonia in rainbow trout.J Exp Biol. 2678-89.
    29.Gao N. (2017) et al.,Effects of chronic ammonia exposure on ammonia metabolism and excretion. in marine medakaOryziasmelastigma.Fish Shellfish Immunol 65, 226-234.
    30.Zhu L. (2018) et al.,Proteomic and metabolomic analysis of marine medaka (Oryziasmelastigma) after acute ammonia exposure.Ecotoxicology. 27(3), 267-277.
    31.J L Soengas, M. (2002) Aldegunde,Energy metabolism of fish brain.Comp. , Biochem Physiol B Biochem Mol Biol 131(3), 271-96.
    32.Speers-Roesch B, R J. (2010) Treberg,The unusual energy metabolism of elasmobranch fishes.Comp Biochem Physiol A Mol Integr Physiol. 155(4), 417-34.
    33.Platell C. (2000) et al.,Branched-chain amino acids.J Gastroenterol Hepatol. 15(7), 706-17.
    34.Wagner L. (2014) et al.,(1)H NMR-based metabolomics studies on the effect ofsesaminin Atlantic salmon (Salmosalar).Food Chem. 147-98.
    35.S R Kimball, L S Jefferson, Signalingpathways. (2006) and molecular mechanisms through which branched-chain amino acids mediate translational control of protein synthesis.J Nutr. 136(1 Suppl): 227-31.
    36.C R Teague. (2007) et al.,Metabonomic studies on the physiological effects of acute and chronic psychological stress. in Sprague-Dawley rats.J Proteome Res 6(6), 2080-93.
    37.Y Z Fang, Yang S, G. (2002) Wu,Free radicals, antioxidants, and nutrition.Nutrition. 18(10), 872-9.
    38.A M Pedley, S J Benkovic, A. (2017) New View into the Regulation of Purine Metabolism: ThePurinosome.Trends Biochem Sci. 42(2), 141-154.
    39.Ansoleaga B. (2015) et al.,Deregulation of purine metabolism in Alzheimer's disease.Neurobiol Aging. 36(1), 68-80.
    40.Garcia-Esparcia P. (2015) et al.,Purine metabolism gene deregulation in Parkinson's disease.Neuropathol Appl Neurobiol. 41(7), 926-40.