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Ketamine (2-(2-chlorophenyl)-2-(methylamino)-cyclohexanone), a derivative of phencyclidine, is a dissociative anaesthetic widely used in clinical practice, while its sub-anaesthetic administration has potential for the treatment of depression and chronic pain (1). However, ketamine is also the main ingredient in the so-called “date-rape” pills, whose abuse has been on increase (2). Owing to its hallucinogenic effects, it is also often used as a recreational drug (1).

Regarding its biological activity, ketamine (aka “K”, “vitamin K” or “special K”) is a non-competitive inhibitor of N-methyl-D-aspartate (NMDA), a sub-type of glutamate receptors, but at relatively high concentrations it can also interact with opioid receptors and type A gamma-aminobutyric acid receptors (1, 3).

It can cause a wide range of dose-dependent effects, from analgesia at lower doses (peak plasma concentrations 0.29–0.67 µmol/L) (4) to anaesthesia at higher doses (peak plasma concentrations 5–10 µmol/L) (47).

A wide range of effects are also attributed to two optical stereoisomers of ketamine: S(+) with four times greater affinity for the NMDA receptor than R(-), a less potent ketamine. S(+)-ketamine possess twice higher analgesic potency and fewer psychotomimetic effects (1, 7).

In spite of widespread use for various purposes, many aspects of ketamine toxicity are still poorly described. This study is based on the hypothesis that ketamine as a cell-receptor binding compound can cause diverse effects at the cellular level as well, that is, affect cell viability and survival, induce DNA damage, and disturb the oxidant/antioxidant balance. In order to verify this, we chose two cell models: hepatocellular HepG2 and neuroblastoma SH-SY5Y, each expressing ketamine-binding receptors of interest or metabolic enzymes responsible for ketamine metabolism (812). In a battery of cell-based assays we investigated the extent of cytotoxic and genotoxic effects and various factors associated with oxidative stress following 24 h exposure to ketamine.

MATERIALS AND METHODS
Chemicals and reagents

The analytical standard ketamine, consisting of a mixture of both isomers (1 mg/mL in methanol) was purchased from Lipomed (Arlesheim, Switzerland). Potassium dihydrogen phosphate (KH2PO4) was obtained from Merck (Darmstadt, Germany). Ultrapure water (18 MΩ) was obtained from a Barnstead Smart2Pure 3 UV/UF Water Purification System (Thermo Fisher Scientific, Waltham, MA USA). Potassium hydroxide (KOH) and phosphoric acid (H3PO4) were purchased from Kemika (Zagreb, Croatia).

Other reagents and chemicals were bought from Sigma-Aldrich (Steinheim, Germany). Staurosporine, well-known inductor of apoptosis, was used as positive control for cytotoxicity experiments. Hydrogen peroxide (H2O2), oxidising agent, was used as positive control for other assays.

Cells

Cell lines used in the experiments were obtained from the European Collection of Authenticated Cell Cultures (ECACC) (Sigma-Aldrich). Human Caucasian hepatocyte carcinoma HepG2 cells (ECACC 85011430) were grown in Eagle’s Minimum Essential (EMEM) medium containing 10 % (v/v) foetal bovine serum, 1 % (v/v) penicillin/streptomycin, and 1 % (v/v) non-essential amino acids. Human neuroblastoma SH-SY5Y cells (ECACC 94030304) were grown in Dulbecco’s Modified Eagle’s Medium F12 (DMEM F12) containing 15 % (v/v) foetal bovine serum, 2 mmol/L glutamine, 1 % (v/v) penicillin/streptomycin, and 1 % (v/v) non-essential amino acids. All media and supplements were purchased from Sigma-Aldrich. All cells were cultured at 37 °C in a 5 % CO2 atmosphere, and the medium was changed every few days and passaged according to the manufacturer’s protocol.

Cells for the viability assay were seeded in transparent 96-well plates at a density of 20,000 cells/well one day before the assay. Cells for reactive oxygen species and glutathione measurements were seeded in black 96-well plates at a density of 10,000 cells/well. For other assays they were seeded in transparent 24-well plates at a density of 50,000 cells/well. For the viability assay both cell lines were treated with ketamine concentrations from 0.39 to 100 µmol/L. For DNA damage and cell oxidative status determination ketamine concentrations corresponded to those found in human plasma for analgesia (0.09 mg/L i.e. 0.39 µmol/L), anaesthesia (1.49 mg/L i.e. 6.25 µmol/L), and drug abuse (0.37 mg/L i.e. 1.56 µmol/L) (6). The highest tested concentration of 100 µmol/L was selected based on reports that this ketamine concentration affects calcium signalling, which leads to apoptosis in undifferentiated neural PC12 cells (13).

All treated samples were compared to untreated control cells, based on results obtained from at least three independent experiments (each treatment performed in duplicate or triplicate).

Measurement of cell viability – MTS assay

Cytotoxic properties of ketamine were determined by measuring mitochondrial succinate dehydrogenase activity of viable cells following a protocol described elsewhere (14). After treatment with ketamine and incubation with the 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) reagent (CellTiter 96® AQueous One Solution Cell Proliferation Assay, Promega, Madison, WI, USA), the absorbance was read at 492 nm on an Infinite M200PRO (Tecan Group Ltd., Switzerland) plate reader. Results are given as percentages (mean ± standard deviation) of viable cells compared to control (untreated) cells. Considering that a reliable genotoxicity assessment requires that cell viability is over 70 % (15), for further toxicity assessments we selected three concentrations which meet this requirement and which correspond to ketamine concentrations found in human plasma after analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L).

Alkaline comet assay

The alkaline comet assay was performed to determine the level of primary DNA damage. Its effectiveness in genotoxicity assessments has been well established (1618). A detailed procedure for microgel preparation has been described in our previous publication (18). Briefly, randomly selected comets were measured on duplicate slides under an epifluorescence microscope (200× magnification) using the Comet Assay IVTM software (Instem-Perceptive Instruments Ltd., UK). As the experiment was carried out in triplicate, altogether 600 comets per sample were assessed for tail intensity (DNA% in the comet tail) as an indicator of DNA damage.

Malondialdehyde determination

Malondialdehyde (MDA) analysis in cell lysates was based on the method reported by Khoschsorur et al. (19). Briefly, after the treatment, cells were rinsed twice in Krebs-Heneseleit buffer, centrifuged at 248 g for 5 min and sonicated on ice. After lysis, cell lysate was resuspended in Krebs-Heneseleit buffer (250 mL). The reaction mixture was prepared by mixing 25 µL cell lysates (or standard, i.e. 2.5 µmol/L 1,1,3,3-tetraethoxy propane) with water (225 µL), phosphoric acid (375 µL; 0.44 mol/L), and thiobarbituric acid (125 µL; 42 mmol/L) and incubating it in boiling water bath at 100 °C for 30 min.

Samples were analysed with a high-performance liquid chromatograph (HPLC) with a UV detector (Shimadzu Corporation, Kyoto, Japan) using the guard and analytical reverse-phase C-18 column (4.0 × 4.0 and 4.0 × 125.0 mm, respectively) with 5 µm particle size (LiChrospher, Merck) as described earlier in detail (18).

Reactive oxygen species detection

Reactive oxygen species (ROS) were determined using a fluorescent dye 2’,7’-dichlorodihydrofluorescein diacetate (DCFH-DA) obtained from Sigma-Aldrich. HepG2 and SH-SY5Y were seeded into black 96-well plates at 104 cells/mL. On the day of the experiment, the medium was removed, cells rinsed with the PBS buffer (100 µL) and incubated with DCFH-DA (200 µL; 20 µmol/L) at 37 °C for 30 min (20). The dye was then washed off, and the cells rinsed again with PBS (100 µL) and treated with either of the three concentrations of ketamine mentioned above.

Fluorescence was recorded (λEx 485 nm, λEm 520 nm) on a multilabel plate reader (Victor3™, Perkin Elmer, Waltham, MA, USA). Fluorescence arbitrary units are given as percentages of control cell values.

Measurement of glutathione levels

Intracellular glutathione (GSH) was measured using fluorogenic monochlorobimane (mBCl), as it reacts with GSH to form a fluorescent product in an amount proportional to GSH content (21).

Cell cultures were placed in black-sided, clear-bottom 96-well plates in the same medium and conditions as for other assays. Cells were treated with the same ketamine concentrations as in other assays, followed by a 4-hour incubation at 37 °C. Then, the cells were rinsed with PBS and incubated with mBCl in PBS (200 µL; 20 µmol/L) at 37 °C for 30 min. The fluorescence (corresponding to GSH concentration) in cell samples was measured with a Victor3™ (Perkin Elmer) multilabel plate reader (λEx 355 nm, λEm 460 nm). The obtained fluorescence arbitrary units are given as percentages of control values. The measurements were done in triplicate.

Measurement of glutathione peroxidase activity

Glutathione peroxidase (GPx) activity was measured with the commercially available assay kit No. 703102 (Cayman Chemical Company, Ann Arbor, MI, USA) according to the manufacturer’s instructions (22). Briefly, treated cells were separated by centrifugation (1000 g at 4 °C for 10 min), sonicated in cold buffer (50 mmol/L tris-HCl, pH 7.5, 5 mmol/L ethylenediaminetetraacetic acid (EDTA), and 1 mmol/L dithiothreitol (DTT), and centrifuged again at 10,000 g and 4 °C for 15 min to obtain the supernatant. After a sequence of reactions, the decrease in absorbance due to nicotinamide adenine dinucleotide phosphate (NADPH) oxidation into NADP+ directly proportional to GPx activity in the sample was measured at 340 nm using the SpectraMax i3x microplate reader (Molecular Devices, San Jose, CA, USA). One unit of activity corresponds to the amount of GPx needed to catalyse oxidation of 1 nmol of NADPH per minute and per milligram of protein. GPx activity is expressed as percentage of control values.

Measurement of superoxide dismutase activity

Superoxide dismutase (SOD) activity was measured with the commercially available assay kit No. 706002 (Cayman Chemical Company) according to the manufacturer’s instructions (23). Briefly, treated cells were separated by centrifugation (1000 g and at 4 °C for 10 min), sonicated in cold buffer [20 mmol/L N-2-hydroxyethylpiperazine-N’-2-ethanesulfonic acid (HEPES) buffer, pH 7.2, containing 1 mmol/L ethylene glycol tetraacetic acid (EGTA), 210 mmol/L mannitol, and 70 mmol/L sucrose], and centrifuged again at 1500 g and 4 °C for 5 min to obtain the supernatant. Tetrazolium salt is used for the detection of superoxide radicals produced by xanthine oxidase and hypoxanthine. The inhibition of this reaction was measured at 505 nm using the SpectraMax i3x microplate reader (Molecular Devices). One unit of activity corresponds to the amount of SOD needed to produce 50 % dismutation of the superoxide radical. SOD activity is given as percentage of control values.

Measurement of catalase activity

Catalase (CAT) activity was measured with the commercially available assay kit No. 707002 (Cayman Chemical Company) according to the manufacturer’s instructions (24). Cells collected after treatment and centrifugation at 1000 g and at 4 °C for 10 min were sonicated in cold buffer (50 mmol/L potassium phosphate, pH 7.0, containing 1 mmol/L EDTA) and centrifuged again at 10,000 g at 4 °C for 15 min to obtain the supernatant. The method relies on enzyme reaction with methanol in the presence of H2O2 at an optimal concentration, which yields formaldehyde. As the chromogen 4-amino-3-hydrazino-5-mercapto-1,2,3-triazole (Purpald®, Sigma-Aldrich) was used, the absorbance was measured at 540 nm using the SpectraMax i3x microplate reader (Molecular Devices). One unit of activity corresponds to 1 nmol of formaldehyde per minute and per milligram of protein. CAT activity is given as percentage of control values.

Statistical analysis

Cell viability data were analysed with the parametric one-way analysis of variance (ANOVA) and Dunnett’s test using the Prism software (GraphPad Software, San Diego, CA, USA). The comet assay data, which had non-parametric distribution (and whose medians more accurately represented the centre of distribution), were analysed with the Mann-Whitney U-test on Statistica version 14 (TIBCO Software, Inc., Palo Alto, CA, USA). The same software was used for the analysis of biochemical parameters with the Kruskal-Wallis one-way analysis of variance. Statistical significance was set at P<0.05.

RESULTS AND DISCUSSION

Figure 1 shows the viability of HepG2 and SH-SY5Y cells after 24 h of exposure to ketamine at concentrations ranging from 0.39 to 100 µmol/L. Even though we tested low micromolar concentrations of the drug, almost all caused significant concentration-dependent cytotoxicity. SH-SY5Y cells were up to 1.2 times more sensitive to exposure than HepG2 cells. However, no concentration reduced viability below 70 %. These cytotoxic effects are noteworthy considering that they were caused by ketamine at plasma concentrations corresponding to those in human analgesia, anaesthesia, and drug abuse (4, 5).

Figure 1

Mean (± SD) changes in the viability of HepG2 and SH-SY5Y cells exposed to ketamine (0.39–100 µmol/L) for 24 h relative to control (untreated cells). Concentrations found in human plasma upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L) are framed in red. Positive control – staurosporine (2 µmol/L); &P<0.05; #P<0.01; $P<0.001; *P<0.0001 vs control (untreated cells)

Cytotoxic effects of ketamine have already been reported for HepG2 cells by Liang et al. (25) but at much higher concentrations (≥1.0 mol/L). On the other hand, Slikker et al. (26) reported no significant drop in the viability of neural stem cells at concentrations below 500 µmol/L. This is comparable to our data, since neural cells are more sensitive to ketamine than liver cells. Barr et al. (27) reported that a 20-hour exposure of canine peripheral blood lymphocytes to 12.62 µmol/L ketamine reduced viability up to 30 %.

Figure 2 shows primary DNA damage following exposure to the three ketamine concentrations corresponding to those found in human plasma upon analgesia, anaesthesia, and drug abuse. Compared to respective controls, all concentrations significantly increased tail intensity in both cell types. A slightly higher DNA damage was observed in samples with lower cell viability. However, the median tail intensities at all tested concentrations in SH-SY5Y cells and at the two higher concentrations in HepG2 cells were below 10 %. Such DNA damage level can be considered low, as the background levels reported in untreated cells are usually about 5 % (2831).

Figure 2

Changes in comet tail intensity of HepG2 and SH-SY5Y cells exposed to ketamine for 24 h relative to control (alkaline comet assay). Ketamine concentrations correspond to concentrations found in human plasma upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L). Results are expressed as mean, median and range. Positive control – H2O2 treated cells (100 µmol/2L)2. *Statistically significant differences (P<0.05, ANOVA with post-hoc Tukey HSD test) vs control

Not many studies have investigated ketamine effects at the DNA level. Asghary et al. (32) have reported that ketamine has an affinity toward the guanine bases of DNA and a groove-binding interaction with double-stranded DNA. This can explain the level of DNA damage we observed in our study. Intercalation events caused by groove binding induced by ketamine and/or its metabolites may disturb DNA conformation, which may, in turn, affect the denaturation and electrophoresis stages of the comet assay (18). As we know, intercalation generally activates DNA repair, which may increase the amount of strand breaks (33, 34), and the alkaline comet assay is quite sensitive in detecting strand breaks (29, 35). Since simple DNA strand breaks are completely repairable, exposure to low concentrations of ketamine like ours seems to allow complete DNA repair and more complex chromosomal damage is unlikely. Along these lines, Cavalcanti et al. (36) reported complete repair of DNA strand breaks and no chromosomal aberrations in human peripheral blood leukocytes even at significantly (>300 times) higher ketamine concentration than ours.

In terms of oxidative stress, ketamine treatment did not cause membrane damage sufficient to increase lipid peroxidation in either cell type (Figure 3) nor did it affect ROS levels significantly compared to control in either cell line, regardless of concentration (Figure 4). These findings are similar to an earlier report (37), which also suggests that ketamine may have a prominent role in preventing oxidative stress. It is, therefore possible that suppressed oxidation by ketamine also resulted in its lower cytotoxicity.

Figure 3

Changes in malondialdehyde (MDA) concentrations in HepG2 and SH-SY5Y cells exposed to ketamine for 24 h relative to control [ketamine concentrations correspond to concentrations found in human plasma upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug- abuse (1.56 µmol/L)]. Results are expressed as means ± SD and medians

Figure 4

Changes in ROS levels in HepG2 and SH-SY5Y cells exposed to ketamine for 24 h relative to control [ketamine concentrations correspond to concentrations found in human plasma upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L)]. Results are expressed as mean ± SD and medians. ROS – reactive oxygen species determined using a fluorescent dye 2’,7’-dichlorodihydrofluorescein diacetate (DCFH-DA)

Furthermore, ketamine did not affect GSH levels in either cell line (Figure 5), but did cause a slight disturbance of GPx activity (Figure 6). In HepG2 cells the lowering trend was concentration-dependent. Changes in the enzyme’s activity could be related to differences in metabolic features between these cell types and call for further investigation. Nevertheless, lower GPx activity after ketamine treatment is in line with one previous report (38).

Figure 5

Changes in glutathione (GSH) levels in HepG2 and SH-SY5Y cells exposed to ketamine for 24 h relative to control [ketamine concentrations correspond to concentrations found in human plasma relevant upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L)]. Results are expressed as means ± SD and medians

Figure 6

Changes in glutathione peroxidase (GPx) activity in HepG2 and SH-SY5Y cells exposed to ketamine for 24 h relative to control [ketamine concentrations correspond to concentrations found in human plasma relevant upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L)]. Results are expressed as means ± SD and medians. * P<0.05 vs control (ANOVA with post-hoc Tukey HSD test)

Superoxide dismutase enzyme constitutes the first line of defence against ROS. Since ketamine did not affect ROS levels significantly in our experiment, we expected that SOD activity would also not significantly change compared to control, yet it was greatly reduced in both cell lines (Figure 7). Such finding indicates an unbalanced antioxidant defence, assuming that antioxidant defence, which relies on CAT, GPx, and GSH besides SOD (39, 40) is under homeostatic control, and that variations in the level of one can be compensated by a change in another. Our results suggest that this is what happened with our cell lines. There may be other reasons for lower SOD activity, such as reduced metabolic rate in ketamine-treated cells, which could result with lower demand for SOD. These are yet to be identified by future research. As both cell lines used in our study are of tumour origin, we should also consider the possibility that their antioxidant defence is different than that of normal cells. In fact, an extensive review by Oberley and Oberley (41) suggests that lower SOD activity in tumour cells of human and animal origin constitutes a survival advantage over their normal counterparts. Besides, an interesting study (42) suggests that the SOD1 form of the enzyme, which is predominantly cytoplasmic, can move to the nucleus to counteract DNA damage. This seems to hold true for our findings of increased DNA damage and lower SOD activity in the cytoplasm (which was used for our measurements).

Figure 7

Changes in superoxide dismutase (SOD) levels in HepG2 and SH-SY5Y cells exposed to ketamine for 24 h relative to control [ketamine concentrations correspond to concentrations found in human plasma relevant upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L)]. Results are expressed as means ± SD and medians. *P<0.05 vs control (Kruskal-Wallis one-way analysis)

As for other antioxidative defences, the pattern of treatment-related changes in the CAT activity was similar in both cell types (Figure 8), but HepG2 cells showed a greater decline in CAT activity than SH-SY5Y cells, which may point to differences in their origin and overall metabolic competence.

Figure 8

Changes in catalase (CAT) levels in HepG2 and SH-SYY cells exposed to ketamine for 24 h relative to control [ketamine concentrations correspond to concentrations found in human plasma relevant upon analgesia (0.39 µmol/L), anaesthesia (6.25 µmol/L), and drug abuse (1.56 µmol/L)]. Results are expressed as means ± SD and medians. *P<0.05 vs control (ANOVA with post-hoc Tukey HSD test)

These results are interesting if we consider the fact that ketamine is used to anaesthetise laboratory animals used for toxicity testing of various compounds, and that these tests use the same methods we have in this study. With this in mind, our results suggest that ketamine has a low potential to affect the level of primary DNA damage, and that its effects on antioxidative enzyme activities should be taken with greater reserve.

One of the limitations of our study is its in vitro design, which means that the obtained results cannot be directly extrapolated to in vivo effects in animals or humans. Another limitation is that the methods used here cannot give definitive answers about the mechanisms underlying the observed effects. There are still a number of issues that require further research, most notably of the mechanisms behind cell death induced by ketamine. For instance, we already know that treatment with 1–8 µmol/L ketamine induces concentration- and time-dependent apoptosis via the mitochondrial pathway and necrosis in Jurkat and SHEP neuroblastoma cells (43), in HepG2 cells (44), and SH-SY5Y cells (45). These pathways are probably mediated by ketamine’s target receptor NMDA (11, 46) or by inhibition of nicotinic receptors.

CONCLUSION

Our results show that ketamine at concentrations relevant for analgesia, anaesthesia, or drug abuse does not produce harmful cytotoxic, genotoxic, and oxidative stress effects in vitro. However, the same range of concentrations may be harmful for the nervous system, which cannot be assessed using the in vitro design, and therefore calls for further research.

Even so, research on cell models such as ours certainly helps to better understand the impact of drugs on cell signalling and may contribute to research needed to advance more effective ketamine use in anaesthesia without any side effects.

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