Abstract

Diphenyl ditelluride (DPDT) is a potential prototype for the development of novel biologically active molecules. Thus, it is important to evaluate the toxic effects of this compound. In the present study, we evaluated the cytotoxic, genotoxic and mutagenic properties of DPDT in Chinese hamster fibroblast (V79) cells, in strains of the yeast Saccharomyces cerevisiae both proficient and deficient in several DNA repair pathways and in Salmonella typhimurium. DPDT induced frameshift mutations in both S.typhimurium and a haploid wild-type strain of S.cerevisiae. Mutants of S.cerevisiae defective in base excision repair and recombinational repair were more sensitive to DPDT. The results of a lactate dehydrogenase leakage assay suggest that DPDT is cytotoxic to V79 cells. At cytotoxic concentrations, this compound increased thiobarbituric reactive species levels and decreased the glutathione:GSSH ratio in yeast and V79 cells. DPDT generated single- and double-strand DNA breaks in V79 cells, both with and without metabolic activation, as revealed by alkaline and neutral comet assays. Moreover, an induction of oxidative DNA base damage was indicated by a modified comet assay using formamidopyrimidine DNA glycosylase and endonuclease III. Treatment with DPDT also induced micronucleus formation in V79 cells. Pre-incubation with N-acetylcysteine reduced DPDT's oxidative, genotoxic and mutagenic effects in yeast and V79 cells. Our results suggest that the toxic and mutagenic properties of DPDT may stem from its ability to disturb the redox balance of the cell, which leads to oxidative stress and the induction of DNA damage.

Introduction

Tellurium (Te), which is a chemical element with a name derived from the Latin ‘tellus’ (Earth), rarely occurs in a free state in nature. Moreover, this metalloid is known to be present in plants, particularly in members of the Alium family. A number of studies have shown that trace amounts of Te are present in body fluids such as blood and urine (1). Moreover, Te has been shown to be present as tellurocysteine and telluromethionine in several proteins in bacteria, yeast and fungi. However, until now, no telluroproteins have been identified in animal cells (2).

Currently, inorganic Te is used in the vulcanization of rubber, in metal oxidizing solutions used to blacken or tarnish metals and in the nanoparticulate semiconductor industry. Moreover, the use of organic Te compounds will increase due to their importance as catalysts in inorganic and organic synthesis, as stabilizers for polymers, as components of insecticides and phase-change optical magnetic disks and as compounds used in the photography industry (1). Risks from occupational and environmental human exposure to this element may be implied due to this increased use. The main focus on the biological effects of this element has been its toxicity since Te is a non-essential and harmful metalloid. Inorganic and organic Te compounds are highly toxic to the central nervous system of rodents, causing demyelinization, probably by disrupting cholesterol synthesis in Schwann cells through the inhibition of squalene monooxygenase (3). This inhibition sequentially affects the expression of myelin proteins themselves at the transcriptional level (4). In addition, it causes persistent neuromotor impairment and deficits in learning several tasks of investigation and memory (5).

Synthetic organotellurium (OT) compounds have found limited use in the past, but they have become a promising and advantageous alternative for numerous applications, as seen in the increase of reports on OT chemistry appearing in the literature. OT compounds have been synthesized since 1840; however, in the last few decades, evidence has been accumulating that OT molecules are promising pharmacological agents. Several reports have been published showing immunomodulatory, antioxidant, anticancer and anti-inflammatory properties of OT compounds (6–8). Diphenyl ditelluride (DPDT) (Figure 1) is a solid, non-volatile, hydrophobic, simple and stable OT compound used as an important and versatile intermediate in organic synthesis. It is extremely toxic to rodents, causing marked neurotoxic effects in mice after acute or prolonged exposure (5,9–11). DPDT can also be teratogenic, causing various morphologic abnormalities in mice foetuses during development (12). In addition, it produces renal and hepatic toxicity in rodents as well as haematological disorders in humans (13,14). In contrast to these toxic effects, studies have demonstrated that DPDT has glutathione (GSH) peroxidase-like activity and is able to prevent oxidative stress induced by several oxidizing agents (15).

Fig. 1

Chemical structure of DPDT.

The aim of the present study was to investigate the cytotoxic effects of DPDT, particularly its effects on cellular redox status, genotoxicity and mutagenicity. To this end, we employed three different test systems: the Salmonella/microsome assay, repair proficient and deficient Saccharomyces cerevisiae strains and a permanent lung fibroblast cell line derived from Chinese hamster (V79 cells). In S.cerevisiae and V79 cells, we measured DPDT's cytotoxicity as well as its effect on GSH levels and lipid peroxidation. DPDT-induced DNA damage was estimated by the comet assay and assessment of micronucleus formation in mammalian cells. The mutagenic potential of DPDT was also evaluated in bacteria and in the simple eukaryote S.cerevisiae, where haploid strains with different DNA repair defects were tested. This study is relevant to human health since it can be expected that exposure of humans to OT will increase in the near future through both occupational and environmental avenues. Moreover, it is important to evaluate DPDT's safety for possible future pharmacological applications and to explore the biological properties of OT and its derivatives.

Materials and methods

Chemicals

DPDT (CAS registry number 32294-60-3) was provided by Dr Antônio Braga, Federal University of Santa Catarina, Florianopolis, Brazil. The chemical purity of DPDT (99.9%) was determined by gas chromatography/high-performance liquid chromatography (16). Yeast extract, bacto-peptone and bacto-agar were obtained from Difco Laboratories (Detroit, MI, USA). Dulbecco's modified Eagle’s Medium (DMEM), foetal bovine serum (FBS), trypsin–ethylenediaminetetraacetic acid (EDTA), L-glutamine and antibiotics were purchased from Gibco BRL (Grand Island, NY, USA). Aflatoxin B1, 4-nitroquinoleine (4-NQO), sodium azide, L-histidine, L-threonine, L-methionine, L-tryptophan, L-leucine, L-lysine, nitrogenous bases (adenine and uracil), reduced glutathione (GSH), oxidized GSH (GSSG), reduced nicotinamide adenine dinucleotide phosphate (NADPH), GSH reductase, thiobarbituric acid (TBA), trichloroacetic acid (TCA), hydrolysed 1,1,3,3-tetramethoxypropane (TMP), N-acetylcysteine (N-ac), 5,5′-dithionitrobenzoic acid (DTNB), cytochalasin-B (Cyt-B), methylmethanesulfonate (MMS), cyclophosphamide (CP), hydrogen peroxide (H2O2), phenylmethylsulfonyl fluoride (PMSF) and 4-vinylpyridine were purchased from Sigma (St Louis, MO, USA). Low-melting point agarose and agarose were obtained from Invitrogen (Carlsbad, CA, USA). Formamidopyrimidine DNA glycosylase (FPG, also known as MutM) and endonuclease III (Endo III, also known as Nth) were obtained from New England BioLabs. The S9 fraction, prepared from the livers of Sprague–Dawley rats pre-treated with the polychlorinated biphenyl mixture Aroclor 1254, was purchased from Moltox (Annapolis, MD, USA).

Assays in bacteria

Strains and culture conditions for bacterial assays.

Salmonella typhimurium strains TA98, TA97a, TA100, TA1535 and TA102, described previously (17), were kindly provided by B. M. Ames (University of California, Berkeley, CA, USA). Bacterial media were prepared according to Mortelmans and Zeiger (17). Complete medium for growing strains (nutrient broth) contained 2.5% oxoid nutrient broth #2. Solidified medium with 1.5% bacto-agar supplemented with 1X Vogel-Bonner salts and 2% glucose was used for plates.

Salmonella/microsome mutagenicity assay.

Mutagenicity was assayed by the pre-incubation procedure proposed by Maron and Ames (18) and revised by Mortelmans and Zeiger (17). The S9 metabolic activation mixture (S9 mix) was prepared according to Maron and Ames (18). DPDT was dissolved in dimethyl sulfoxide (DMSO) immediately before use. A sample of 100 μl of each test bacterial culture (1–2 × 109 cells/ml) was incubated in the dark at 37°C with different concentrations of DPDT (4, 8, 12, 16 and 20 μg per plate) in the presence or absence of S9 mix for 20 min without shaking. These doses were defined in previous range finder experiment in accordance with the Salmonella/microsome assay guidelines. Subsequently, 2 ml of soft agar (0.6% agar, 0.5% NaCl, 5 mM histidine, 50 mM biotin, pH 7.4, 45°C) was added to the test tube and immediately poured onto a minimal agar plate (1.5% agar, Vogel–Bonner E medium containing 2% glucose). Aflatoxin B1 (0.5 μg per plate) was used as a positive control for all strains in the metabolic assay with S9 mix. In the absence of S9 mix, positive controls were 4-NQO (0.5 μg per plate) for TA98, TA97a and TA102 and sodium azide (0.5 μg per plate) for TA100 and TA1535. Plates were incubated in the dark at 37°C for 48 h before revertant colonies were counted.

Assays in yeast

Strains and media for yeast assays.

Media, solutions and buffers were prepared as previously described by Burke et al. (19). The relevant genotypes of S.cerevisiae strains used in this study are listed in Table I. Complete medium [yeast extract, peptone, glucose-D (YPD)] containing 0.5% yeast extract, 2% peptone and 2% glucose was used for routine growth. Minimal medium (MM) contained 0.67% yeast nitrogen base without amino acids, 2% glucose and 2% bacto-agar. Synthetic complete (SC) medium consisted of MM supplemented with 2 mg adenine, 2 mg arginine, 5 mg lysine, 1 mg histidine, 2 mg leucine, 2 mg methionine, 2 mg uracil and 2 mg tryptophan per 100 ml. For plates, the medium was solidified with 2% bacto-agar. For mutagenesis in the XV185-14c strain, we used drop-out medium lacking lysine (SC-lys), histidine (SC-his) or homoserine (SC-hom).

Table I

Yeast strains used in this study

Strains Relevant genotypes DNA repair pathway affected Source 
BY4742 (WT) MATα; his3Δ1; leu2Δ0; lys2Δ0; ura3Δ0 — Euroscarfa 
    apn1Δ BY4742; with apn1::kanMX4 BER Euroscarfa 
    rad1Δ BY4742; with rad1::kanMX4 NER Euroscarfa 
    rad52Δ BY4742; with rad52::kanMX4 HR Euroscarfa 
    rev3Δ BY4742; with rev3::kanMX4 TLS Euroscarfa 
    ogg1Δ BY4742; with ogg1::kanMX4 BER Euroscarfa 
BY4741 (WT) MATa; his3Δ1; leu2Δ0; met15Δ0; ura3Δ0 — Euroscarfa 
    rad50Δ BY4742; with rad50::kanMX4 NHEJ Euroscarfa 
    mre11Δ BY4742; with mre11::kanMX4 NHEJ Euroscarfa 
    xrs2Δ BY4742; with xrs2::kanMX4 NHEJ Euroscarfa 
SJR751 (WT) MATα; ade2-101oc; his3Δ200; ura3ΔNco; lys2ΔBgl; leu2-R — Swansonb 
    ntg1Δ SJR751; with ntg1::LEU2 BER Swansonb 
    ntg2Δ SJR751; with ntg2::hisG BER Swansonb 
    ntg1Δntg2Δ SJR751; with ntg1::LEU2 ntg2::hisG BER Swansonb 
    ntg1Δntg2Δapn1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 BER Swansonb 
    ntg1Δntg2Δapn1Δrad1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad1::hisG BER/NER Swansonb 
    ntg1Δntg2Δapn1Δrev3Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rev3::kanMX4 BER/TLS Swansonb 
    ntg1Δntg2Δapn1Δrad52Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad52::URA3 BER/HR Swansonb 
XV185-14C MATα; ade2-2; arg4-17; his1-7; lys1-1; trp5-48; hom3-10 — Von Borstelc 
Strains Relevant genotypes DNA repair pathway affected Source 
BY4742 (WT) MATα; his3Δ1; leu2Δ0; lys2Δ0; ura3Δ0 — Euroscarfa 
    apn1Δ BY4742; with apn1::kanMX4 BER Euroscarfa 
    rad1Δ BY4742; with rad1::kanMX4 NER Euroscarfa 
    rad52Δ BY4742; with rad52::kanMX4 HR Euroscarfa 
    rev3Δ BY4742; with rev3::kanMX4 TLS Euroscarfa 
    ogg1Δ BY4742; with ogg1::kanMX4 BER Euroscarfa 
BY4741 (WT) MATa; his3Δ1; leu2Δ0; met15Δ0; ura3Δ0 — Euroscarfa 
    rad50Δ BY4742; with rad50::kanMX4 NHEJ Euroscarfa 
    mre11Δ BY4742; with mre11::kanMX4 NHEJ Euroscarfa 
    xrs2Δ BY4742; with xrs2::kanMX4 NHEJ Euroscarfa 
SJR751 (WT) MATα; ade2-101oc; his3Δ200; ura3ΔNco; lys2ΔBgl; leu2-R — Swansonb 
    ntg1Δ SJR751; with ntg1::LEU2 BER Swansonb 
    ntg2Δ SJR751; with ntg2::hisG BER Swansonb 
    ntg1Δntg2Δ SJR751; with ntg1::LEU2 ntg2::hisG BER Swansonb 
    ntg1Δntg2Δapn1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 BER Swansonb 
    ntg1Δntg2Δapn1Δrad1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad1::hisG BER/NER Swansonb 
    ntg1Δntg2Δapn1Δrev3Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rev3::kanMX4 BER/TLS Swansonb 
    ntg1Δntg2Δapn1Δrad52Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad52::URA3 BER/HR Swansonb 
XV185-14C MATα; ade2-2; arg4-17; his1-7; lys1-1; trp5-48; hom3-10 — Von Borstelc 
a

Obtained from EUROSCARF, Frankfurt, Germany.

b

Kindly provided by Dr. Rebecca L. Swanson, Departments of Biochemistry and Biology, Emory University School of Medicine, Atlanta, GA.

c

Described in Von Borstel et al. (20).

Table I

Yeast strains used in this study

Strains Relevant genotypes DNA repair pathway affected Source 
BY4742 (WT) MATα; his3Δ1; leu2Δ0; lys2Δ0; ura3Δ0 — Euroscarfa 
    apn1Δ BY4742; with apn1::kanMX4 BER Euroscarfa 
    rad1Δ BY4742; with rad1::kanMX4 NER Euroscarfa 
    rad52Δ BY4742; with rad52::kanMX4 HR Euroscarfa 
    rev3Δ BY4742; with rev3::kanMX4 TLS Euroscarfa 
    ogg1Δ BY4742; with ogg1::kanMX4 BER Euroscarfa 
BY4741 (WT) MATa; his3Δ1; leu2Δ0; met15Δ0; ura3Δ0 — Euroscarfa 
    rad50Δ BY4742; with rad50::kanMX4 NHEJ Euroscarfa 
    mre11Δ BY4742; with mre11::kanMX4 NHEJ Euroscarfa 
    xrs2Δ BY4742; with xrs2::kanMX4 NHEJ Euroscarfa 
SJR751 (WT) MATα; ade2-101oc; his3Δ200; ura3ΔNco; lys2ΔBgl; leu2-R — Swansonb 
    ntg1Δ SJR751; with ntg1::LEU2 BER Swansonb 
    ntg2Δ SJR751; with ntg2::hisG BER Swansonb 
    ntg1Δntg2Δ SJR751; with ntg1::LEU2 ntg2::hisG BER Swansonb 
    ntg1Δntg2Δapn1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 BER Swansonb 
    ntg1Δntg2Δapn1Δrad1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad1::hisG BER/NER Swansonb 
    ntg1Δntg2Δapn1Δrev3Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rev3::kanMX4 BER/TLS Swansonb 
    ntg1Δntg2Δapn1Δrad52Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad52::URA3 BER/HR Swansonb 
XV185-14C MATα; ade2-2; arg4-17; his1-7; lys1-1; trp5-48; hom3-10 — Von Borstelc 
Strains Relevant genotypes DNA repair pathway affected Source 
BY4742 (WT) MATα; his3Δ1; leu2Δ0; lys2Δ0; ura3Δ0 — Euroscarfa 
    apn1Δ BY4742; with apn1::kanMX4 BER Euroscarfa 
    rad1Δ BY4742; with rad1::kanMX4 NER Euroscarfa 
    rad52Δ BY4742; with rad52::kanMX4 HR Euroscarfa 
    rev3Δ BY4742; with rev3::kanMX4 TLS Euroscarfa 
    ogg1Δ BY4742; with ogg1::kanMX4 BER Euroscarfa 
BY4741 (WT) MATa; his3Δ1; leu2Δ0; met15Δ0; ura3Δ0 — Euroscarfa 
    rad50Δ BY4742; with rad50::kanMX4 NHEJ Euroscarfa 
    mre11Δ BY4742; with mre11::kanMX4 NHEJ Euroscarfa 
    xrs2Δ BY4742; with xrs2::kanMX4 NHEJ Euroscarfa 
SJR751 (WT) MATα; ade2-101oc; his3Δ200; ura3ΔNco; lys2ΔBgl; leu2-R — Swansonb 
    ntg1Δ SJR751; with ntg1::LEU2 BER Swansonb 
    ntg2Δ SJR751; with ntg2::hisG BER Swansonb 
    ntg1Δntg2Δ SJR751; with ntg1::LEU2 ntg2::hisG BER Swansonb 
    ntg1Δntg2Δapn1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 BER Swansonb 
    ntg1Δntg2Δapn1Δrad1Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad1::hisG BER/NER Swansonb 
    ntg1Δntg2Δapn1Δrev3Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rev3::kanMX4 BER/TLS Swansonb 
    ntg1Δntg2Δapn1Δrad52Δ SJR751; with ntg1::LEU2 ntg2::hisG apn1::HIS3 rad52::URA3 BER/HR Swansonb 
XV185-14C MATα; ade2-2; arg4-17; his1-7; lys1-1; trp5-48; hom3-10 — Von Borstelc 
a

Obtained from EUROSCARF, Frankfurt, Germany.

b

Kindly provided by Dr. Rebecca L. Swanson, Departments of Biochemistry and Biology, Emory University School of Medicine, Atlanta, GA.

c

Described in Von Borstel et al. (20).

Yeast growth.

We choose to work with cells in stationary phase of growth because yeast cells in logarithmic phase growth are very sensitive to oxidative stress due to glucose repression of many antioxidant defense mechanisms. Stationary cultures were obtained by inoculation of an isolated colony in liquid YPD medium and growth for 48 h at 30°C with aeration by shaking. The cultures contained 1–2 × 108 cells/ml with 2–3% budding cells. Cells were harvested and washed twice with saline solution. The number of cells with or without buds was determined by counting in a Neubauer chamber.

Cytotoxicity in yeast strains proficient and deficient in DNA repair.

Sensitivity to DPDT was assayed by incubation of stationary cultures (2 × 108 cells/ml) in phosphate-buffered saline (PBS, 0.067 M, pH 7.0) with different concentrations (1.0, 5.0, 10, 50, 100, 500 and 1000 μM) of the compound in a rotary shaker at 30°C for 2 h. After treatment, cells were harvested by centrifugation at 12 000 × g for 1 min, washed twice with PBS, counted, diluted and plated on solid YPD. Plates were incubated at 30°C for 3–5 days before counting.

Detection of DPDT-induced reverse and frameshift mutation in S. cerevisiae.

Mutagenesis was measured in the S.cerevisiae XV185-14c strain. The highest DPDT concentration used, providing ∼60% survival, was determined in the previous cytotoxicity test. A suspension of 2 × 108 cells/ml in stationary phase was incubated for 2 h at 30°C with different concentrations of DPDT in PBS. Cells were pre-treated with N-ac for 18 h before DPDT treatment. Cell survival was determined in SC medium (3–5 days of growth at 30°C), and mutation induction in LYS, HIS or HOM locus was assessed in the appropriate omission media (7–10 days, 30°C). Whereas his1-7 is a non-suppressible missense allele, and reversions result from mutation at the locus itself, lys1-1 is a suppressible ochre non-sense mutant allele, which can be reverted either by locus-specific mutation or forward mutation in a suppressor gene. True reversions and forward (suppressor) mutations at the lys1-1 locus were differentiated according to Von Borstel et al. (20). It is believed that hom3-10 contains a frameshift mutation due to its response to a range of diagnostic mutagens (20). Assays were repeated at least three times, and plating was done in triplicate for each dose.

Preparation of yeast cell-free extracts.

Crude yeast extracts were prepared by glass bead lysis as follows. Cells were suspended in lysis buffer (50 mM Tris, 150 mM NaCl, 50 mM EDTA, pH 7.2) with an equal volume of acid-washed 425–600 μm glass beads and PMSF, vortexed for 10–15 cycles (30 s each) and cooled for 30 s. The mixture was then centrifuged for 5 min at 6000 × g to remove cellular debris and the glass beads (19). The supernatant was kept on ice for immediate use. Protein concentration was determined by the Bradford assay (21).

Measurement of lipid peroxidation in yeast.

The extent of DPDT-induced lipid peroxidation was determined by the reaction of TBA with malondialdehyde (MDA), a product formed by lipid peroxidation. The assays were performed according to Salgo and Pryor (22), with minor modifications. To the lysate, 2 ml of 0.4 mg/ml TCA in 0.25 M HCl was added. The mixture was then incubated with 6.7 mg/ml TBA for 15 min at 100°C then centrifuged at 750 × g for 10 min. As TBA reacts with other products of lipid peroxidation in addition to MDA, results are expressed in terms of thiobarbituric reactive species (TBARS), which were determined by absorbance at 532 nm. Hydrolysed TMP was used as the standard. The results were normalized to protein content (21).

Determination of total GSH, GSH and GSSG in yeast.

Total GSH (GSH plus GSSG) levels were determined by photometric determination of 5-thio-2-nitrobenzoate, which was produced from DTNB in a kinetic assay, according to Akerboom and Sies (23) with minor modifications. An equal volume of 2 M HClO4 with 4 mM EDTA was added to the cell extract and the precipitated proteins were sedimented by centrifugation at 8000 × g for 10 min at 4°C. The supernatant was neutralized with 2 M KOH and 0.3 M 3-(N-morpholino)propanesulfonic acid, and the insoluble residue was removed by centrifugation under the same conditions. For spectrophotometric determination, 910 μl of the cell extract supernatant or the standard GSH solution, in the same phosphate–EDTA buffer, was mixed with 50 μl of 4 mg/ml NADPH in 0.5% (w/v) NaHCO3, 20 μl of 6 U/ml GSH reductase in phosphate–EDTA buffer and 20 μl of 1.5 mg/ml DTNB in 0.5% NaHCO3. The increase in absorbance was measured at 412 nm. Total GSH content was calculated as nanomole per 106 viable cells. For GSSG determination, 4-vinylpyridine was added to a final concentration of 0.1% (v/v) and then incubated for 1 h at room temperature. At this concentration, 4-vinylpyridine is able to react with all GSH without interfering with GSSG determination. GSH was determined based on the total GSH and GSSG concentration results. The results were expressed as GSH:GSSG ratios.

Assays in V79 cells

V79 cell culture and treatments.

V79 cells were cultured under standard conditions in DMEM supplemented with 10% heat-inactivated FBS, 0.2 mg/ml L-glutamine, 100 IU/ml penicillin and 100 μg/ml streptomycin. Cells were kept in tissue culture flasks at 37°C in a humidified atmosphere containing 5% CO2 in air and were harvested by treatment with 0.15% trypsin and 0.08% EDTA in PBS. Cells were seeded (3 × 106 cells) in 5 ml of complete medium in a 25-cm2 flask and grown for 2 days up to 60–70% confluence before treatment with the test substance. DPDT was dissolved in DMSO and added to FBS-free medium to reach the different desired concentrations. The final DMSO concentration in the medium never exceeded 0.2%, and the control group was exposed to an equivalent concentration of solvent. In some experiments, cells were pre-treated with 5 mM N-ac for 24 h in complete medium.

Cytotoxicity evaluation in V79 cells using a lactate dehydrogenase leakage assay.

After treatment, the fraction of total lactate dehydrogenase (LDH) activity in the supernatant was taken as an indicator of membrane leakage or cell lysis (24). CytoTox assay kit (Promega, Madison, WI, USA) was used for enzymatic assessment of LDH release, following the manufacturer's instructions. This method involves assessing the rate of conversion of reduced nicotinamide adenine dinucleotide (1.5 mmol/l) to oxidized nicotinamide adenine dinucleotide in the presence of L-(+)-lactic acid (50 mmol/l) in culture supernatants (S) and in the remaining cells (C) after lysis with serum-free medium containing 1% Triton X-100. The percentage of LDH leakage was calculated as follows: % leakage = S/(S + C) × 100.

Preparation of V79 cell-free extracts.

Briefly, 3 × 106 cells were incubated with various concentrations of DPDT for 2 h in FBS-free medium and after they were lysed with Tris–HCl (15 mM for 1 h).

Measurement of lipid peroxidation in V79 cells.

Lipid peroxidation in V79 cells was measured as described in Measurement of lipid peroxidation in yeast.

Determination of total GSH, GSH and GSSG in V79 cells.

The total GSH, GSH and GSSG levels in V79 cells were measured as described in Determination of total GSH, GSH and GSSG in yeast.

Comet assay.

The alkaline comet assay was performed as described by Singh et al. (25), with minor modifications. V79 cells were incubated with various concentrations of DPDT for 2 h in FBS-free medium. After treatment, cells were washed with ice-cold PBS, trypsinized and resuspended in complete medium. Then, 20 μl of cell suspension (3 × 106 cells/ml) was dissolved in 0.75% low-melting point agarose and immediately spread onto a glass microscope slide pre-coated with a layer of 1% normal melting point agarose. The agarose was allowed to set at 4°C for 5 min. The slides were then incubated in ice-cold lysis solution (2.5 M NaCl, 10 mM Tris, 100 mM EDTA, 1% Triton X-100 and 10% DMSO, pH 10.0) at 4°C for at least 1 h in order to remove cellular proteins and membranes, leaving the DNA as ‘nucleoids’. The neutral assay was performed at pH 8.5, essentially according to the same procedure as the alkaline version, except at lower pH. In the neutral version, electrophoresis was carried out in a buffer consisting of 100 mM Tris and 300 mM sodium acetate at pH 8.5 (25). In the modified comet assay, slides were removed from the lysis solution, washed three times in enzyme buffer (40 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid, 100 mM KCl, 0.5 mM Na2EDTA and 0.2 mg/ml bovine serum albumin, pH 8.0) and incubated with 70 μl FPG (100 mUnits per gel; 45 min 37°C) or Endo III (100 mUnits per gel; 30 min 37°C). After the lysis procedure, the slides were placed on a horizontal electrophoresis unit. The unit was filled with fresh buffer (300 mM NaOH, 1 mM EDTA, pH 13.0), which covered the slides for 20 min at 4°C in order to allow unwinding of DNA and expression of alkali-labile sites. Electrophoresis was conducted for 20 min at 25 V (74 V/cm). All the steps listed above were performed under yellow light or in the dark in order to prevent additional DNA damage. Slides were then neutralized (0.4 M Tris, pH 7.5), washed in bi-distilled water and stained using a silver staining protocol as described previously (26). After the staining step, gels were left to dry at room temperature overnight and analysed. One hundred cells (50 cells from each of two replicate slides) per concentration of each test substance were selected and analysed visually using an optical microscope for tail length and amount of DNA present in the tail. When selecting cells, cells around air bubbles or at the edge were avoided (26). These cells were visually scored according to tail length into five classes: (1) class 0: undamaged, without a tail; (2) class 1: with a tail shorter than the diameter of the head (nucleus); (3) class 2: with a tail length one to two times the diameter of the head; (4) class 3: with a tail longer than twice the diameter of the head and (5) class 4: comets with no heads. A value [damage index (DI)] was assigned to each comet according to its class. The genotoxic effect of DPDT in V79 cells was estimated by two different parameters, DI and damage frequency (DF). The DI ranged from 0 (completely undamaged: 100 cells × 0) to 400 (with maximum damage: 100 cells × 4) (26). DF (%) was calculated based on the number of cells with tails as compared with those with no tail. International guidelines and recommendations for the comet assay consider that visual scoring of comets is a well-validated evaluation method (26). The vehicle was used as a negative control, MMS treatment at 4 × 10−5 M for 1 h was used as a positive control in the absence of metabolization and 1.5 × 10−5 M CP was used as a positive control in the presence of metabolization. In the modified comet assay, the vehicle was used as a negative control, and treatment with 150 μM H2O2 for 5 min at 4°C was used as a positive control. In the experiment involving metabolic activation, S9 mix was prepared according to Ku et al. (27). Cells were incubated with S9 mix for 30 min and then treated with several concentrations of DPDT at 37°C for 20 min.

Micronucleus test.

The micronucleus assay was performed according to Bonacker et al. (28), with minor modifications. V79 cells were incubated with various DPDT concentrations for 2 h in FBS-free medium. After treatment, cultures were washed twice with medium, and Cyt-B was added at final concentration of 2 μg/ml. Cultures were harvested 21 h after Cyt-B addition. Cells were separated from the flask by trypsinization, and the cell suspension was centrifuged at 1000 × g for 5 min. Cells were then resuspended in 0.075 M KCl solution and maintained at 4°C for 3 min (mild hypotonic treatment). Subsequently, cells were centrifuged, and methanol:acetic acid (3:1) solution was carefully added. This fixation step was repeated twice, and finally, cells were resuspended in a small volume of methanol:acetic acid and dropped onto clean slides. Slides were stained with 10% Giemsa (pH 6.8) for 3–4 min. Slides were mounted and coded prior to analysis. MMS, at 50 μg/ml concentration, was used as a positive control, and the vehicle was used as a negative control. Micronuclei were counted in 2000 binucleated cells (BNCs) with well-preserved cytoplasm. The identification of micronuclei was carried out according to Fenech (29).

Statistical analysis

Mutagenicity data in the Salmonella/microsome assay were analysed with Salmonel software. A compound was considered positive for mutagenicity only when: (i) the number of revertants was at least double the spontaneous yield [mutagenic index (MI) ≥ 2, MI is defined as the number of induced colonies in the sample over the number of spontaneous mutants in the negative control], (ii) a significant response for analysis of variance (P ≤ 0.05) was found and (iii) a reproducible positive dose response (P ≤ 0.01) was present as evaluated by the Salmonel software (30). A cytotoxic effect was considered when MI ≤ 0.6.

All experiments with yeast and V79 cells were independently repeated at least three times, with triplicate samples for each treatment. Results are expressed as means ± standard deviations and were analysed by one-way analysis of variance followed by Tukey's test. P < 0.05 was considered statistically significant.

Results

Salmonella/microsome assay

The DPDT dose range was determined in the TA100 strain, with and without metabolization, and cytotoxicity was observed at concentrations >20 μg/ml (data not shown). Metabolization was used in order to verify possible generation of reactive intermediates during DPDT detoxification. The effect of DPDT on the frameshift mutation-detecting strains TA97a (detects frameshift mutations in –C–C–C–C–C–C–; +1 cytosine) and TA98 (detects frameshifts in the DNA target –C–G–C–G–C–G–C–G) indicates a clear mutagenic induction response in the absence or presence of metabolic activation, as shown in Table II. No mutagenicity of DPDT was seen in either strain detecting base pair substitutions in the absence of metabolic activation: TA1535 [detects base pair substitutions of a leucine (GAG) by proline (GGG)] or the corresponding isogenic strain TA100 (harbouring the plasmid pKM101, which enhances induced mutagenesis via an increase in the error-prone recombinational DNA repair pathway). However, in TA1535, a weak mutagenic response was detected at the highest dose of DPDT in the presence of metabolic activation. Negative results for mutagenicity were also observed in TA102 (detects transversions or transitions in a TAA DNA sequence), which is sensitive to oxidative and alkylating mutagens (Table II).

Table II

Induction of his+ revertants in Salmonella typhimurium strains by DPDT with and without metabolic activation (S9 mix)

S.typhimurium strains
 
Substance Concentration (μg/plate) TA98
 
TA97a
 
TA100
 
TA1535
 
TA102
 
Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb 
Without metabolic activation (−S9) 
    NCc — 10.6 ± 1.5 — 110.0 ± 33.8 — 125.3 ± 10.1 — 10.0 ± 1.0 — 396.0 ± 10.6 — 
    PCd 0.5 68.0 ± 9.0*** 6.37 410 ± 2.0** 3.72 1101.3 ± 180.0** 8.78 1757.6 ± 56.5** 175.76 2910 ± 300** 9.38 
    DPDT 21.3 ± 3.2* 2.00 578.6 ± 88.5** 5.26 107.3 ± 44.6 0.85 12.6 ± 2.3 1.26 466.6 ± 60.2 1.18 
39.6 ± 7.5** 3.72 585.3 ± 58.2** 5.32 96.0 ± 14.0 0.76 6.3 ± 1.5 0.63 488.0 ± 66.1 1.23 
12 29.6 ± 3.2* 2.78 626.0 ± 19.7** 5.69 112.6 ± 14.1 0.90 12.3±3.1 1.23 462.6 ± 20.1 1.18 
16 45.0 ± 5.6** 4.22 728.0 ± 39.4*** 6.60 97.3 ± 15.0 0.77 10.0 ± 2.0 1.00 425.3 ± 22.0 1.07 
20 40.3 ± 9.2** 3.78 737.3 ± 44.1*** 6.70 52.0 ± 16.4 0.41 10.0 ± 2.8 1.00 526.6 ± 20.1 1.33 
With metabolic activation (+S9) 
    NCc — 27.3 ± 1.5 — 141.3 ± 16.6 — 171.6 ± 15.1 — 8.6 ± 3.1 — 389.3 ± 57.4 — 
    PCd 0.5 58.0 ± 8.7* 2.12 585.6 ± 129.3** 4.14 1034.0 ± 173.7*** 6.02 107.6 ± 4.0*** 12.41 1382.6 ± 11.5** 3.55 
    DPDT 34.3 ± 2.5 1.25 426.6 ± 62.1** 3.02 172.6 ± 35.1 1.01 13.0 ± 3.0 1.49 404.6 ± 92.9 1.04 
45.0 ± 9.0 1.64 530.6 ± 79.4** 3.75 168.0 ± 14.0 0.98 22.6 ± 9.6 2.61 536.0 ± 54.1 1.37 
12 46.6 ± 6.1 1.71 530.6 ± 18.5** 3.75 156.0 ± 26.2 0.91 19.6 ± 8.3 2.26 497.3 ± 54.6 1.27 
16 57.5 ± 6.4* 2.10 623.6 ± 113.5** 4.41 143.3 ± 30.6 0.83 21.6 ± 3.8 2.49 524.6 ± 84.7 1.34 
20 50.0 ± 3.6 1.82 624.0 ± 77.9*** 4.41 204.0 ± 39.0 1.19 32.0 ± 3.6** 3.67 542.6 ± 83.3 1.34 
S.typhimurium strains
 
Substance Concentration (μg/plate) TA98
 
TA97a
 
TA100
 
TA1535
 
TA102
 
Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb 
Without metabolic activation (−S9) 
    NCc — 10.6 ± 1.5 — 110.0 ± 33.8 — 125.3 ± 10.1 — 10.0 ± 1.0 — 396.0 ± 10.6 — 
    PCd 0.5 68.0 ± 9.0*** 6.37 410 ± 2.0** 3.72 1101.3 ± 180.0** 8.78 1757.6 ± 56.5** 175.76 2910 ± 300** 9.38 
    DPDT 21.3 ± 3.2* 2.00 578.6 ± 88.5** 5.26 107.3 ± 44.6 0.85 12.6 ± 2.3 1.26 466.6 ± 60.2 1.18 
39.6 ± 7.5** 3.72 585.3 ± 58.2** 5.32 96.0 ± 14.0 0.76 6.3 ± 1.5 0.63 488.0 ± 66.1 1.23 
12 29.6 ± 3.2* 2.78 626.0 ± 19.7** 5.69 112.6 ± 14.1 0.90 12.3±3.1 1.23 462.6 ± 20.1 1.18 
16 45.0 ± 5.6** 4.22 728.0 ± 39.4*** 6.60 97.3 ± 15.0 0.77 10.0 ± 2.0 1.00 425.3 ± 22.0 1.07 
20 40.3 ± 9.2** 3.78 737.3 ± 44.1*** 6.70 52.0 ± 16.4 0.41 10.0 ± 2.8 1.00 526.6 ± 20.1 1.33 
With metabolic activation (+S9) 
    NCc — 27.3 ± 1.5 — 141.3 ± 16.6 — 171.6 ± 15.1 — 8.6 ± 3.1 — 389.3 ± 57.4 — 
    PCd 0.5 58.0 ± 8.7* 2.12 585.6 ± 129.3** 4.14 1034.0 ± 173.7*** 6.02 107.6 ± 4.0*** 12.41 1382.6 ± 11.5** 3.55 
    DPDT 34.3 ± 2.5 1.25 426.6 ± 62.1** 3.02 172.6 ± 35.1 1.01 13.0 ± 3.0 1.49 404.6 ± 92.9 1.04 
45.0 ± 9.0 1.64 530.6 ± 79.4** 3.75 168.0 ± 14.0 0.98 22.6 ± 9.6 2.61 536.0 ± 54.1 1.37 
12 46.6 ± 6.1 1.71 530.6 ± 18.5** 3.75 156.0 ± 26.2 0.91 19.6 ± 8.3 2.26 497.3 ± 54.6 1.27 
16 57.5 ± 6.4* 2.10 623.6 ± 113.5** 4.41 143.3 ± 30.6 0.83 21.6 ± 3.8 2.49 524.6 ± 84.7 1.34 
20 50.0 ± 3.6 1.82 624.0 ± 77.9*** 4.41 204.0 ± 39.0 1.19 32.0 ± 3.6** 3.67 542.6 ± 83.3 1.34 

Data significant in relation to DPDT treatments as compared to the negative control *P < 0.05, **P < 0.01, ***P < 0.001.

a

Number of revertants per plate: mean ± SD, n = 3.

b

Number of his+ induced in the sample/number of spontaneous his+ in the negative control.

c

NC: negative control DMSO (25 μl) used as a solvent for DPDT.

d

PC: positive control (−S9) sodium azide to TA100 and TA1535; 4-NQO to TA97a, TA98 and TA102; (+S9) aflatoxin B1.

Table II

Induction of his+ revertants in Salmonella typhimurium strains by DPDT with and without metabolic activation (S9 mix)

S.typhimurium strains
 
Substance Concentration (μg/plate) TA98
 
TA97a
 
TA100
 
TA1535
 
TA102
 
Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb 
Without metabolic activation (−S9) 
    NCc — 10.6 ± 1.5 — 110.0 ± 33.8 — 125.3 ± 10.1 — 10.0 ± 1.0 — 396.0 ± 10.6 — 
    PCd 0.5 68.0 ± 9.0*** 6.37 410 ± 2.0** 3.72 1101.3 ± 180.0** 8.78 1757.6 ± 56.5** 175.76 2910 ± 300** 9.38 
    DPDT 21.3 ± 3.2* 2.00 578.6 ± 88.5** 5.26 107.3 ± 44.6 0.85 12.6 ± 2.3 1.26 466.6 ± 60.2 1.18 
39.6 ± 7.5** 3.72 585.3 ± 58.2** 5.32 96.0 ± 14.0 0.76 6.3 ± 1.5 0.63 488.0 ± 66.1 1.23 
12 29.6 ± 3.2* 2.78 626.0 ± 19.7** 5.69 112.6 ± 14.1 0.90 12.3±3.1 1.23 462.6 ± 20.1 1.18 
16 45.0 ± 5.6** 4.22 728.0 ± 39.4*** 6.60 97.3 ± 15.0 0.77 10.0 ± 2.0 1.00 425.3 ± 22.0 1.07 
20 40.3 ± 9.2** 3.78 737.3 ± 44.1*** 6.70 52.0 ± 16.4 0.41 10.0 ± 2.8 1.00 526.6 ± 20.1 1.33 
With metabolic activation (+S9) 
    NCc — 27.3 ± 1.5 — 141.3 ± 16.6 — 171.6 ± 15.1 — 8.6 ± 3.1 — 389.3 ± 57.4 — 
    PCd 0.5 58.0 ± 8.7* 2.12 585.6 ± 129.3** 4.14 1034.0 ± 173.7*** 6.02 107.6 ± 4.0*** 12.41 1382.6 ± 11.5** 3.55 
    DPDT 34.3 ± 2.5 1.25 426.6 ± 62.1** 3.02 172.6 ± 35.1 1.01 13.0 ± 3.0 1.49 404.6 ± 92.9 1.04 
45.0 ± 9.0 1.64 530.6 ± 79.4** 3.75 168.0 ± 14.0 0.98 22.6 ± 9.6 2.61 536.0 ± 54.1 1.37 
12 46.6 ± 6.1 1.71 530.6 ± 18.5** 3.75 156.0 ± 26.2 0.91 19.6 ± 8.3 2.26 497.3 ± 54.6 1.27 
16 57.5 ± 6.4* 2.10 623.6 ± 113.5** 4.41 143.3 ± 30.6 0.83 21.6 ± 3.8 2.49 524.6 ± 84.7 1.34 
20 50.0 ± 3.6 1.82 624.0 ± 77.9*** 4.41 204.0 ± 39.0 1.19 32.0 ± 3.6** 3.67 542.6 ± 83.3 1.34 
S.typhimurium strains
 
Substance Concentration (μg/plate) TA98
 
TA97a
 
TA100
 
TA1535
 
TA102
 
Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb Rev/platea MIb 
Without metabolic activation (−S9) 
    NCc — 10.6 ± 1.5 — 110.0 ± 33.8 — 125.3 ± 10.1 — 10.0 ± 1.0 — 396.0 ± 10.6 — 
    PCd 0.5 68.0 ± 9.0*** 6.37 410 ± 2.0** 3.72 1101.3 ± 180.0** 8.78 1757.6 ± 56.5** 175.76 2910 ± 300** 9.38 
    DPDT 21.3 ± 3.2* 2.00 578.6 ± 88.5** 5.26 107.3 ± 44.6 0.85 12.6 ± 2.3 1.26 466.6 ± 60.2 1.18 
39.6 ± 7.5** 3.72 585.3 ± 58.2** 5.32 96.0 ± 14.0 0.76 6.3 ± 1.5 0.63 488.0 ± 66.1 1.23 
12 29.6 ± 3.2* 2.78 626.0 ± 19.7** 5.69 112.6 ± 14.1 0.90 12.3±3.1 1.23 462.6 ± 20.1 1.18 
16 45.0 ± 5.6** 4.22 728.0 ± 39.4*** 6.60 97.3 ± 15.0 0.77 10.0 ± 2.0 1.00 425.3 ± 22.0 1.07 
20 40.3 ± 9.2** 3.78 737.3 ± 44.1*** 6.70 52.0 ± 16.4 0.41 10.0 ± 2.8 1.00 526.6 ± 20.1 1.33 
With metabolic activation (+S9) 
    NCc — 27.3 ± 1.5 — 141.3 ± 16.6 — 171.6 ± 15.1 — 8.6 ± 3.1 — 389.3 ± 57.4 — 
    PCd 0.5 58.0 ± 8.7* 2.12 585.6 ± 129.3** 4.14 1034.0 ± 173.7*** 6.02 107.6 ± 4.0*** 12.41 1382.6 ± 11.5** 3.55 
    DPDT 34.3 ± 2.5 1.25 426.6 ± 62.1** 3.02 172.6 ± 35.1 1.01 13.0 ± 3.0 1.49 404.6 ± 92.9 1.04 
45.0 ± 9.0 1.64 530.6 ± 79.4** 3.75 168.0 ± 14.0 0.98 22.6 ± 9.6 2.61 536.0 ± 54.1 1.37 
12 46.6 ± 6.1 1.71 530.6 ± 18.5** 3.75 156.0 ± 26.2 0.91 19.6 ± 8.3 2.26 497.3 ± 54.6 1.27 
16 57.5 ± 6.4* 2.10 623.6 ± 113.5** 4.41 143.3 ± 30.6 0.83 21.6 ± 3.8 2.49 524.6 ± 84.7 1.34 
20 50.0 ± 3.6 1.82 624.0 ± 77.9*** 4.41 204.0 ± 39.0 1.19 32.0 ± 3.6** 3.67 542.6 ± 83.3 1.34 

Data significant in relation to DPDT treatments as compared to the negative control *P < 0.05, **P < 0.01, ***P < 0.001.

a

Number of revertants per plate: mean ± SD, n = 3.

b

Number of his+ induced in the sample/number of spontaneous his+ in the negative control.

c

NC: negative control DMSO (25 μl) used as a solvent for DPDT.

d

PC: positive control (−S9) sodium azide to TA100 and TA1535; 4-NQO to TA97a, TA98 and TA102; (+S9) aflatoxin B1.

DPDT cytotoxicity and mutagenicity in strains of the yeast S.cerevisiae

DPDT induced moderate dose-dependent cytotoxicity in stationary phase cultures of the wild-type (WT) S.cerevisiae XV185-14c haploid strain (Table III). With respect to mutagenicity, Table III indicates that the mutation frequencies at the his1 and lys1 loci were significant at higher concentrations of DPDT, whereas the mutation frequency at the hom3 locus was significant at almost all doses. Moreover, this DPDT-induced mutagenesis was abolished when cells were pre-treated with N-ac (Table III).

Table III

Induction of point mutation (his1-7) ochre allele (lys1-1) and frameshift (hom3-10) mutation in haploid XV185-14c strain of Saccharomyces cerevisiae after DPDT treatment during stationary phase without and with N-ac pre-treatment

Agent Treatment (μM) Survival (%) HIS/107 survivorsa LIS/107 survivorsb HOM/107 survivorsa 
Without N-ac pre-treatment 
    NCc  100 (670) 9.8 ± 1.0 (66) 3.8 ± 1.0 (25) 2.8 ± 0.9 (19) 
    PCd  53.3 ± 2.0 (357)*** 127.3 ± 6.3 (454)*** 47.8 ± 5.0 (170)*** 31.5 ± 2.7 (112)*** 
    DPDT 97.2 ± 1.6 (651) 10.5 ± 1.3 (70) 4.2 ± 1.0 (27) 3.3 ± 1.3 (21) 
84.1 ± 1.6 (563) 11.0 ± 1.8 (62) 4.5 ± 1.3 (25) 8.5 ± 1.2 (48)** 
10 78.7 ± 3.9 (527)* 12.0 ± 2.2 (63) 5.8 ± 1.5 (31) 14.2 ± 1.7 (75)*** 
50 71.0 ± 2.7 (476)** 13.8 ± 1.3 (66) 7.2 ± 1.7 (34)** 18.5 ± 1.3 (88)*** 
100 65.4 ± 4.8 (438)** 16.5 ± 1.3 (72)** 9.2 ± 1.0 (40)*** 24.5 ± 1.3 (107)*** 
500 53.8 ± 2.7 (360)*** 20.5 ± 1.3 (74)*** 11.7 ± 0.9 (42)*** 28.3 ± 1.4 (102)*** 
1000 45.7 ± 4.8 (306)*** 25.8 ± 1.7 (79)*** 15.3 ± 0.5 (47)*** 32.3 ± 2.2 (99)*** 
With N-ac pre-treatment 
    NCc  100 (665) 9.9 ± 1.3 (66) 3.3 ± 1.0 (22) 2.8 ± 0.8 (18) 
    PCd  61.5 ± 2.3 (409)** 72.8 ± 3.4 (298)*** 20.8 ± 3.0 (85)*** 19.8 ± 3.3 (81)*** 
    DPDT 95.2 ± 1.6 (633) 9.2 ± 1.3 (58) 3.5 ± 1.0 (22) 3.3 ± 0.6 (21) 
92.6 ± 1.7 (616) 9.5 ± 2.1 (59) 4.3 ± 0.9 (26) 3.3 ± 0.5 (20) 
10 91.0 ± 1.6 (605) 10.0 ± 0.8 (61) 4.6 ± 0.6 (28) 3.8 ± 0.6 (23) 
50 88.0 ± 2.0 (585) 10.5 ± 1.0 (61) 4.8 ± 0.5 (28) 4.3 ± 1.0 (25) 
100 83.6 ± 1.8 (556)* 11.3 ± 1.0 (63) 5.2 ± 1.0 (29) 4.8 ± 1.0 (27) 
500 77.1 ± 2.3 (513)** 11.7 ± 0.5 (60) 5.8 ± 1.6 (30) 5.2 ± 0.5 (27) 
1000 62.8 ± 3.2 (418)*** 12.2 ± 0.6 (51) 6.5 ± 1.7 (27) 5.5 ± 1.3 (23) 
Agent Treatment (μM) Survival (%) HIS/107 survivorsa LIS/107 survivorsb HOM/107 survivorsa 
Without N-ac pre-treatment 
    NCc  100 (670) 9.8 ± 1.0 (66) 3.8 ± 1.0 (25) 2.8 ± 0.9 (19) 
    PCd  53.3 ± 2.0 (357)*** 127.3 ± 6.3 (454)*** 47.8 ± 5.0 (170)*** 31.5 ± 2.7 (112)*** 
    DPDT 97.2 ± 1.6 (651) 10.5 ± 1.3 (70) 4.2 ± 1.0 (27) 3.3 ± 1.3 (21) 
84.1 ± 1.6 (563) 11.0 ± 1.8 (62) 4.5 ± 1.3 (25) 8.5 ± 1.2 (48)** 
10 78.7 ± 3.9 (527)* 12.0 ± 2.2 (63) 5.8 ± 1.5 (31) 14.2 ± 1.7 (75)*** 
50 71.0 ± 2.7 (476)** 13.8 ± 1.3 (66) 7.2 ± 1.7 (34)** 18.5 ± 1.3 (88)*** 
100 65.4 ± 4.8 (438)** 16.5 ± 1.3 (72)** 9.2 ± 1.0 (40)*** 24.5 ± 1.3 (107)*** 
500 53.8 ± 2.7 (360)*** 20.5 ± 1.3 (74)*** 11.7 ± 0.9 (42)*** 28.3 ± 1.4 (102)*** 
1000 45.7 ± 4.8 (306)*** 25.8 ± 1.7 (79)*** 15.3 ± 0.5 (47)*** 32.3 ± 2.2 (99)*** 
With N-ac pre-treatment 
    NCc  100 (665) 9.9 ± 1.3 (66) 3.3 ± 1.0 (22) 2.8 ± 0.8 (18) 
    PCd  61.5 ± 2.3 (409)** 72.8 ± 3.4 (298)*** 20.8 ± 3.0 (85)*** 19.8 ± 3.3 (81)*** 
    DPDT 95.2 ± 1.6 (633) 9.2 ± 1.3 (58) 3.5 ± 1.0 (22) 3.3 ± 0.6 (21) 
92.6 ± 1.7 (616) 9.5 ± 2.1 (59) 4.3 ± 0.9 (26) 3.3 ± 0.5 (20) 
10 91.0 ± 1.6 (605) 10.0 ± 0.8 (61) 4.6 ± 0.6 (28) 3.8 ± 0.6 (23) 
50 88.0 ± 2.0 (585) 10.5 ± 1.0 (61) 4.8 ± 0.5 (28) 4.3 ± 1.0 (25) 
100 83.6 ± 1.8 (556)* 11.3 ± 1.0 (63) 5.2 ± 1.0 (29) 4.8 ± 1.0 (27) 
500 77.1 ± 2.3 (513)** 11.7 ± 0.5 (60) 5.8 ± 1.6 (30) 5.2 ± 0.5 (27) 
1000 62.8 ± 3.2 (418)*** 12.2 ± 0.6 (51) 6.5 ± 1.7 (27) 5.5 ± 1.3 (23) 

Data represented as mean and SD from three independent experiments (values in parentheses in columns 3–6 refers to number of colonies); Significantly different in relation to the negative control group at *P < 0.05, **P < 0.01, ***P < 0.001 by one-way ANOVA Tukey's Multiple Comparison Test.

a

Locus-specific revertants.

b

Locus non-specific revertants (forward mutation).

c

Negative control.

d

Positive control: 4-NQO treatment at 0.5 μg/ml.

Table III

Induction of point mutation (his1-7) ochre allele (lys1-1) and frameshift (hom3-10) mutation in haploid XV185-14c strain of Saccharomyces cerevisiae after DPDT treatment during stationary phase without and with N-ac pre-treatment

Agent Treatment (μM) Survival (%) HIS/107 survivorsa LIS/107 survivorsb HOM/107 survivorsa 
Without N-ac pre-treatment 
    NCc  100 (670) 9.8 ± 1.0 (66) 3.8 ± 1.0 (25) 2.8 ± 0.9 (19) 
    PCd  53.3 ± 2.0 (357)*** 127.3 ± 6.3 (454)*** 47.8 ± 5.0 (170)*** 31.5 ± 2.7 (112)*** 
    DPDT 97.2 ± 1.6 (651) 10.5 ± 1.3 (70) 4.2 ± 1.0 (27) 3.3 ± 1.3 (21) 
84.1 ± 1.6 (563) 11.0 ± 1.8 (62) 4.5 ± 1.3 (25) 8.5 ± 1.2 (48)** 
10 78.7 ± 3.9 (527)* 12.0 ± 2.2 (63) 5.8 ± 1.5 (31) 14.2 ± 1.7 (75)*** 
50 71.0 ± 2.7 (476)** 13.8 ± 1.3 (66) 7.2 ± 1.7 (34)** 18.5 ± 1.3 (88)*** 
100 65.4 ± 4.8 (438)** 16.5 ± 1.3 (72)** 9.2 ± 1.0 (40)*** 24.5 ± 1.3 (107)*** 
500 53.8 ± 2.7 (360)*** 20.5 ± 1.3 (74)*** 11.7 ± 0.9 (42)*** 28.3 ± 1.4 (102)*** 
1000 45.7 ± 4.8 (306)*** 25.8 ± 1.7 (79)*** 15.3 ± 0.5 (47)*** 32.3 ± 2.2 (99)*** 
With N-ac pre-treatment 
    NCc  100 (665) 9.9 ± 1.3 (66) 3.3 ± 1.0 (22) 2.8 ± 0.8 (18) 
    PCd  61.5 ± 2.3 (409)** 72.8 ± 3.4 (298)*** 20.8 ± 3.0 (85)*** 19.8 ± 3.3 (81)*** 
    DPDT 95.2 ± 1.6 (633) 9.2 ± 1.3 (58) 3.5 ± 1.0 (22) 3.3 ± 0.6 (21) 
92.6 ± 1.7 (616) 9.5 ± 2.1 (59) 4.3 ± 0.9 (26) 3.3 ± 0.5 (20) 
10 91.0 ± 1.6 (605) 10.0 ± 0.8 (61) 4.6 ± 0.6 (28) 3.8 ± 0.6 (23) 
50 88.0 ± 2.0 (585) 10.5 ± 1.0 (61) 4.8 ± 0.5 (28) 4.3 ± 1.0 (25) 
100 83.6 ± 1.8 (556)* 11.3 ± 1.0 (63) 5.2 ± 1.0 (29) 4.8 ± 1.0 (27) 
500 77.1 ± 2.3 (513)** 11.7 ± 0.5 (60) 5.8 ± 1.6 (30) 5.2 ± 0.5 (27) 
1000 62.8 ± 3.2 (418)*** 12.2 ± 0.6 (51) 6.5 ± 1.7 (27) 5.5 ± 1.3 (23) 
Agent Treatment (μM) Survival (%) HIS/107 survivorsa LIS/107 survivorsb HOM/107 survivorsa 
Without N-ac pre-treatment 
    NCc  100 (670) 9.8 ± 1.0 (66) 3.8 ± 1.0 (25) 2.8 ± 0.9 (19) 
    PCd  53.3 ± 2.0 (357)*** 127.3 ± 6.3 (454)*** 47.8 ± 5.0 (170)*** 31.5 ± 2.7 (112)*** 
    DPDT 97.2 ± 1.6 (651) 10.5 ± 1.3 (70) 4.2 ± 1.0 (27) 3.3 ± 1.3 (21) 
84.1 ± 1.6 (563) 11.0 ± 1.8 (62) 4.5 ± 1.3 (25) 8.5 ± 1.2 (48)** 
10 78.7 ± 3.9 (527)* 12.0 ± 2.2 (63) 5.8 ± 1.5 (31) 14.2 ± 1.7 (75)*** 
50 71.0 ± 2.7 (476)** 13.8 ± 1.3 (66) 7.2 ± 1.7 (34)** 18.5 ± 1.3 (88)*** 
100 65.4 ± 4.8 (438)** 16.5 ± 1.3 (72)** 9.2 ± 1.0 (40)*** 24.5 ± 1.3 (107)*** 
500 53.8 ± 2.7 (360)*** 20.5 ± 1.3 (74)*** 11.7 ± 0.9 (42)*** 28.3 ± 1.4 (102)*** 
1000 45.7 ± 4.8 (306)*** 25.8 ± 1.7 (79)*** 15.3 ± 0.5 (47)*** 32.3 ± 2.2 (99)*** 
With N-ac pre-treatment 
    NCc  100 (665) 9.9 ± 1.3 (66) 3.3 ± 1.0 (22) 2.8 ± 0.8 (18) 
    PCd  61.5 ± 2.3 (409)** 72.8 ± 3.4 (298)*** 20.8 ± 3.0 (85)*** 19.8 ± 3.3 (81)*** 
    DPDT 95.2 ± 1.6 (633) 9.2 ± 1.3 (58) 3.5 ± 1.0 (22) 3.3 ± 0.6 (21) 
92.6 ± 1.7 (616) 9.5 ± 2.1 (59) 4.3 ± 0.9 (26) 3.3 ± 0.5 (20) 
10 91.0 ± 1.6 (605) 10.0 ± 0.8 (61) 4.6 ± 0.6 (28) 3.8 ± 0.6 (23) 
50 88.0 ± 2.0 (585) 10.5 ± 1.0 (61) 4.8 ± 0.5 (28) 4.3 ± 1.0 (25) 
100 83.6 ± 1.8 (556)* 11.3 ± 1.0 (63) 5.2 ± 1.0 (29) 4.8 ± 1.0 (27) 
500 77.1 ± 2.3 (513)** 11.7 ± 0.5 (60) 5.8 ± 1.6 (30) 5.2 ± 0.5 (27) 
1000 62.8 ± 3.2 (418)*** 12.2 ± 0.6 (51) 6.5 ± 1.7 (27) 5.5 ± 1.3 (23) 

Data represented as mean and SD from three independent experiments (values in parentheses in columns 3–6 refers to number of colonies); Significantly different in relation to the negative control group at *P < 0.05, **P < 0.01, ***P < 0.001 by one-way ANOVA Tukey's Multiple Comparison Test.

a

Locus-specific revertants.

b

Locus non-specific revertants (forward mutation).

c

Negative control.

d

Positive control: 4-NQO treatment at 0.5 μg/ml.

In order to evaluate the interaction of DNA repair pathways in response to DPDT-induced DNA damage, we also performed survival assays to compare the sensitivities of single, double, triple and quadruple mutants defective in base excision repair (BER), nucleotide excision repair (NER), homologous recombination (HR), non-homologous end joining (NHEJ) and translesion synthesis (TLS). The single mutants rad1Δ, rad6Δ and rev3Δ (Figure 2B) exhibited the same sensitivity as that observed for WT cells. In addition, the mutant strains rad50Δ, xrs2Δ and mre11Δ (subunits of the MRX complex involved in both HR and NHEJ) showed elevated DPDT sensitivity in relation to the isogenic BY4741 WT strain (Figure 2C). The recombination-deficient rad52Δ mutant showed the highest sensitivity to DPDT (Figure 2C). Finally, the single BER mutants ntg1Δ, ntg2Δ and ogg1Δ had significantly higher sensitivity to DPDT than WT (Figure 2A). It is important to note that the double mutant ntg1Δntg2Δ was more sensitive than the single mutants. Figure 2D shows that the triple mutant ntg1Δntg2Δapn1Δ is more sensitive than the single and double mutants. The quadruple mutants ntg1Δntg2Δapn1Δrad1Δ and ntg1Δntg2Δapn1Δrev3Δ show the same sensitivity to DPDT as the triple mutant. However, the mutant ntg1Δntg2Δapn1Δrad52Δ shows the same sensitivity as the single mutant rad52Δ.

Fig. 2

Survival after DPDT treatment of Saccharomyces cerevisiae strains deficient in the (A) BER pathway, (B) NER and TLS pathways, (C) HR and NHEJ pathways and (D) triple and quadruple mutants combining deficiencies in the BER pathway with NER, TLS or HR. Data are expressed as mean ± SD, n = 3.

Oxidative stress biomarkers in yeast

In order to determine the oxidative damage triggered by DPDT, we examined two well-established oxidative stress biomarkers: the concentration-dependent degree of lipid peroxidation, measured by TBARS levels, and the GSH:GSSG ratio. As can be seen in Figure 3A, the treatment of cells with DPDT resulted in a dose-dependent increase in TBARS production in WT yeast. This increase was statistically significant after incubation with DPDT doses >10.0 μM for 2 h. Pre-incubation with N-ac reduced DPDT-generated oxidative damage at all doses, reducing the levels of TBARS in yeast. With respect to intracellular GSH content, treatment with 50, 100, 500 or 1000 μM DPDT for 2 h significantly reduced the GSH:GSSG ratio in S.cerevisiae (Figure 3B).

Fig. 3

Determination of TBARS (A) and GSH:GSSG ratios (B) in Saccharomyces cerevisiae strain XV185-14c treated with DPDT at the indicated concentrations for 2 h. The concentration of 5 mM N-ac was used for the pre-treatment. Solvent was used as a negative control. Data are expressed as mean ± SD, n = 4. Significantly different in relation to the negative control or in relation to the treatment at the same DPDT concentration without N-ac pre-treatment, *P < 0.05, **P < 0.01 and ***P < 0.001 by one-way analysis of variance with Tukey's Multiple Comparison Test.

Cytotoxic effects in V79 cells

Dose- and time-dependent changes in the viability of DPDT-treated cells were assessed by monitoring LDH leakage, which is an indicator of plasma membrane damage. When compared to the negative control, significant cytotoxic effects of DPDT were detectable starting at concentrations of 0.1 μM for 6-h treatments and 1 μM for 2-h treatments (Table IV). Moreover, at all tested DPDT concentrations, the viability of the cells decreased further with an increase in the concentration or the incubation time. This finding suggests that DPDT is cytotoxic at a concentration range of 0.5–50 μM. Since our interest is focused on the genetic toxicity of cells exposed to DPDT, we chose to perform all subsequent experiments using a treatment of 2 h in light of the low cytotoxicity observed at this time point (<30%).

Table IV

Effects of DPDT on LDH leakage (% of total) in V79 cells

 Controla 0.1 μM DPDT 0.5 μM DPDT 1.0 μM DPDT 5.0 μM DPDT 10.0 μM DPDT 50.0 μM DPDT 
0 h 11.8 ± 0.6 12.3 ± 2.2 12.1 ± 1.0 11.6 ± 2.3 12.4 ± 1.7 14.2 ± 6.2 18.6 ± 2.3 
2 h 15.1 ± 1.3 16.2 ± 1.9 17.3 ± 2.1 19.4 ± 0.9* 20.5 ± 1.5* 22.3 ± 1.4* 28.1 ± 2.0** 
4 h 14.5 ± 0.5 18.0 ± 2.0 20.2 ± 1.7* 22.7 ± 0.6* 26.4 ± 1.0** 30.5 ± 1.9** 41.3 ± 1.7*** 
6 h 14.9 ± 0.7 19.8 ± 0.3* 21.9 ± 1.3* 25.9 ± 1.7* 29.9 ± 3.0** 36.8 ± 2.1** 52.1 ± 3.2*** 
8 h 15.4 ± 1.6 22.0 ± 2.4* 27.0 ± 3.3** 35.5 ± 1.8*** 42.0 ± 2.6*** 50.4 ± 1.5*** 64.3 ± 5.1*** 
12 h 17.6 ± 2.6 30.2 ± 4.4** 37.7 ± 4.3*** 48.2 ± 2.5*** 56.5 ± 5.8*** 69.5 ± 2.7*** 83.3 ± 2.3*** 
24 h 21.4 ± 2.4 44.6 ± 6.7*** 58.6 ± 4.9*** 68.8 ± 4.2*** 84.7 ± 5.6*** 87.6 ± 6.2*** 96.7 ± 3.2*** 
 Controla 0.1 μM DPDT 0.5 μM DPDT 1.0 μM DPDT 5.0 μM DPDT 10.0 μM DPDT 50.0 μM DPDT 
0 h 11.8 ± 0.6 12.3 ± 2.2 12.1 ± 1.0 11.6 ± 2.3 12.4 ± 1.7 14.2 ± 6.2 18.6 ± 2.3 
2 h 15.1 ± 1.3 16.2 ± 1.9 17.3 ± 2.1 19.4 ± 0.9* 20.5 ± 1.5* 22.3 ± 1.4* 28.1 ± 2.0** 
4 h 14.5 ± 0.5 18.0 ± 2.0 20.2 ± 1.7* 22.7 ± 0.6* 26.4 ± 1.0** 30.5 ± 1.9** 41.3 ± 1.7*** 
6 h 14.9 ± 0.7 19.8 ± 0.3* 21.9 ± 1.3* 25.9 ± 1.7* 29.9 ± 3.0** 36.8 ± 2.1** 52.1 ± 3.2*** 
8 h 15.4 ± 1.6 22.0 ± 2.4* 27.0 ± 3.3** 35.5 ± 1.8*** 42.0 ± 2.6*** 50.4 ± 1.5*** 64.3 ± 5.1*** 
12 h 17.6 ± 2.6 30.2 ± 4.4** 37.7 ± 4.3*** 48.2 ± 2.5*** 56.5 ± 5.8*** 69.5 ± 2.7*** 83.3 ± 2.3*** 
24 h 21.4 ± 2.4 44.6 ± 6.7*** 58.6 ± 4.9*** 68.8 ± 4.2*** 84.7 ± 5.6*** 87.6 ± 6.2*** 96.7 ± 3.2*** 

Data significant in relation to the control group *P < 0.05, **P < 0.01, ***P < 0.001 by one-way ANOVA Tukey's Multiple Comparison Test.

a

Negative control (solvent). Data are expressed as mean ± SD, n = 12.

Table IV

Effects of DPDT on LDH leakage (% of total) in V79 cells

 Controla 0.1 μM DPDT 0.5 μM DPDT 1.0 μM DPDT 5.0 μM DPDT 10.0 μM DPDT 50.0 μM DPDT 
0 h 11.8 ± 0.6 12.3 ± 2.2 12.1 ± 1.0 11.6 ± 2.3 12.4 ± 1.7 14.2 ± 6.2 18.6 ± 2.3 
2 h 15.1 ± 1.3 16.2 ± 1.9 17.3 ± 2.1 19.4 ± 0.9* 20.5 ± 1.5* 22.3 ± 1.4* 28.1 ± 2.0** 
4 h 14.5 ± 0.5 18.0 ± 2.0 20.2 ± 1.7* 22.7 ± 0.6* 26.4 ± 1.0** 30.5 ± 1.9** 41.3 ± 1.7*** 
6 h 14.9 ± 0.7 19.8 ± 0.3* 21.9 ± 1.3* 25.9 ± 1.7* 29.9 ± 3.0** 36.8 ± 2.1** 52.1 ± 3.2*** 
8 h 15.4 ± 1.6 22.0 ± 2.4* 27.0 ± 3.3** 35.5 ± 1.8*** 42.0 ± 2.6*** 50.4 ± 1.5*** 64.3 ± 5.1*** 
12 h 17.6 ± 2.6 30.2 ± 4.4** 37.7 ± 4.3*** 48.2 ± 2.5*** 56.5 ± 5.8*** 69.5 ± 2.7*** 83.3 ± 2.3*** 
24 h 21.4 ± 2.4 44.6 ± 6.7*** 58.6 ± 4.9*** 68.8 ± 4.2*** 84.7 ± 5.6*** 87.6 ± 6.2*** 96.7 ± 3.2*** 
 Controla 0.1 μM DPDT 0.5 μM DPDT 1.0 μM DPDT 5.0 μM DPDT 10.0 μM DPDT 50.0 μM DPDT 
0 h 11.8 ± 0.6 12.3 ± 2.2 12.1 ± 1.0 11.6 ± 2.3 12.4 ± 1.7 14.2 ± 6.2 18.6 ± 2.3 
2 h 15.1 ± 1.3 16.2 ± 1.9 17.3 ± 2.1 19.4 ± 0.9* 20.5 ± 1.5* 22.3 ± 1.4* 28.1 ± 2.0** 
4 h 14.5 ± 0.5 18.0 ± 2.0 20.2 ± 1.7* 22.7 ± 0.6* 26.4 ± 1.0** 30.5 ± 1.9** 41.3 ± 1.7*** 
6 h 14.9 ± 0.7 19.8 ± 0.3* 21.9 ± 1.3* 25.9 ± 1.7* 29.9 ± 3.0** 36.8 ± 2.1** 52.1 ± 3.2*** 
8 h 15.4 ± 1.6 22.0 ± 2.4* 27.0 ± 3.3** 35.5 ± 1.8*** 42.0 ± 2.6*** 50.4 ± 1.5*** 64.3 ± 5.1*** 
12 h 17.6 ± 2.6 30.2 ± 4.4** 37.7 ± 4.3*** 48.2 ± 2.5*** 56.5 ± 5.8*** 69.5 ± 2.7*** 83.3 ± 2.3*** 
24 h 21.4 ± 2.4 44.6 ± 6.7*** 58.6 ± 4.9*** 68.8 ± 4.2*** 84.7 ± 5.6*** 87.6 ± 6.2*** 96.7 ± 3.2*** 

Data significant in relation to the control group *P < 0.05, **P < 0.01, ***P < 0.001 by one-way ANOVA Tukey's Multiple Comparison Test.

a

Negative control (solvent). Data are expressed as mean ± SD, n = 12.

Oxidative stress biomarkers in V79 cells

As can be seen in Figure 4A, treatment of cells with DPDT resulted in a dose-dependent increase in TBARS production in V79 cells at concentrations starting at 0.5 μM. Pre-incubation with N-ac reduced DPDT-generated oxidative damage at all doses, thereby reducing the levels of TBARS. In addition, 2-h treatments within a concentration range of 0.5–50 μM significantly reduced the GSH:GSSG ratio in V79 cells (Figure 4B).

Fig. 4

Determination of TBARS (A) and GSH:GSSG ratios (B) in V79 cells treated with DPDT at the indicated concentrations for 2 h. The concentration of 5 mM N-ac was used for the pre-treatment. Solvent was used as a negative control. Data are expressed as means ± SDs, n = 4. Significantly different in relation to the negative control or in relation to the treatment at the same DPDT concentration without N-ac pre-treatment, *P < 0.05, **P < 0.01 and ***P < 0.001 by one-way ANOVA with Tukey's Multiple Comparison Test.

DNA damage in V79 cells

Table V shows the effects of DPDT on DI and DF in V79 cells according to the comet assay with and without metabolic activation. DPDT clearly induced a dose-dependent increase in both DI and DF both in the alkaline and neutral comet assays at concentrations ranging from 1.0 to 50.0 μM. The comet assay under alkaline conditions simultaneously detects single- and double-strand DNA breaks and alkali-labile sites, while the neutral conditions allow only the detection of DNA double-strand breaks (DSBs) (25). We can therefore infer that DPDT induces DNA single-strand breaks (SSBs) and DSBs in the presence or absence of metabolic activation (Table V). The extent of DNA damage in cells exposed to these compounds was concentration dependent.

Table V

Genotoxicity induced by 2 h DPDT treatment in V79 cells evaluated by neutral and alkaline comet assay without and with metabolic activation

Agent Treatment (μM) DIa
 
DF (%)a
 
Without S9 mix With S9 mix Without S9 mix With S9 mix 
Alkaline condition (pH 13.0) 
    NCb  35.3 ± 21.9 35.7 ± 20.3 30.0 ± 21.7 34.5 ± 23.4 
    PCc  117.5 ± 6.8** 217.0 ± 8.3** 75.0 ± 1.2** 88.3 ± 2.3** 
    DPDT 0.1 34.5 ± 10.9 48.3 ± 14.7 28.8 ± 8.4 38.5 ± 5.6 
0.5 46.3 ± 12.1 51.7 ± 19.8 39.2 ± 10.8 44.9 ± 17.0 
1.0 99.3 ± 7.3** 129.0 ± 14.1** 55.3 ± 3.3** 68.4 ± 2.5** 
5.0 127.3 ± 9.5** 169.5 ± 14.6*** 66.8 ± 2.7** 78.4 ± 1.9** 
10.0 170.5 ± 10.5** 217.5 ± 8.6*** 75.7 ± 3.5** 86.3 ± 2.7** 
50.0 248.3 ± 8.0** 292.5 ± 14.0*** 93.2 ± 2.9** 96.2 ± 1.6** 
Neutral conditions (pH 8.0) 
    NCb  19.8 ± 4.8 24.3 ± 5.9 18.5 ± 5.1 27.8 ± 14.5 
    PCc  102.3 ± 5.9** 224.5 ± 22.2** 50.8 ± 3.9** 82.1 ± 2.8** 
    DPDT 0.1 24.5 ± 7.2 31.8 ± 6.3 15.0 ± 8.3 27.9 ± 3.6 
0.5 27.5 ± 6.8 36.3 ± 6.9 20.5 ± 1.7 34.2 ± 2.2 
1.0 52.3 ± 11.6** 79.3 ± 9.3** 46.8 ± 5.9** 52.1 ± 3.9** 
5.0 66.5 ± 16.4** 87.3 ± 11.6** 50.7 ± 3.3** 59.2 ± 3.5** 
10.0 79.0 ± 14.5** 105.3 ± 7.3** 56.0 ± 2.4** 63.6 ± 1.3** 
50.0 108.8 ± 15.5** 149.5 ± 14.3*** 64.3 ± 2.5** 73.9 ± 2.4** 
Agent Treatment (μM) DIa
 
DF (%)a
 
Without S9 mix With S9 mix Without S9 mix With S9 mix 
Alkaline condition (pH 13.0) 
    NCb  35.3 ± 21.9 35.7 ± 20.3 30.0 ± 21.7 34.5 ± 23.4 
    PCc  117.5 ± 6.8** 217.0 ± 8.3** 75.0 ± 1.2** 88.3 ± 2.3** 
    DPDT 0.1 34.5 ± 10.9 48.3 ± 14.7 28.8 ± 8.4 38.5 ± 5.6 
0.5 46.3 ± 12.1 51.7 ± 19.8 39.2 ± 10.8 44.9 ± 17.0 
1.0 99.3 ± 7.3** 129.0 ± 14.1** 55.3 ± 3.3** 68.4 ± 2.5** 
5.0 127.3 ± 9.5** 169.5 ± 14.6*** 66.8 ± 2.7** 78.4 ± 1.9** 
10.0 170.5 ± 10.5** 217.5 ± 8.6*** 75.7 ± 3.5** 86.3 ± 2.7** 
50.0 248.3 ± 8.0** 292.5 ± 14.0*** 93.2 ± 2.9** 96.2 ± 1.6** 
Neutral conditions (pH 8.0) 
    NCb  19.8 ± 4.8 24.3 ± 5.9 18.5 ± 5.1 27.8 ± 14.5 
    PCc  102.3 ± 5.9** 224.5 ± 22.2** 50.8 ± 3.9** 82.1 ± 2.8** 
    DPDT 0.1 24.5 ± 7.2 31.8 ± 6.3 15.0 ± 8.3 27.9 ± 3.6 
0.5 27.5 ± 6.8 36.3 ± 6.9 20.5 ± 1.7 34.2 ± 2.2 
1.0 52.3 ± 11.6** 79.3 ± 9.3** 46.8 ± 5.9** 52.1 ± 3.9** 
5.0 66.5 ± 16.4** 87.3 ± 11.6** 50.7 ± 3.3** 59.2 ± 3.5** 
10.0 79.0 ± 14.5** 105.3 ± 7.3** 56.0 ± 2.4** 63.6 ± 1.3** 
50.0 108.8 ± 15.5** 149.5 ± 14.3*** 64.3 ± 2.5** 73.9 ± 2.4** 

Data significant in relation to DPDT treatments as compared to the negative control *P < 0.05, **P < 0.01 by one-way ANOVA Tukey's Multiple Comparison Test.

a

Mean values and SD obtained from four experiments in triplicate per dose for each substance.

b

Negative control (solvent).

c

Positive control: MMS treatment at 4 × 10−5 M in absence of metabolization and 1.5 × 10−5 M CP in presence of metabolization.

Table V

Genotoxicity induced by 2 h DPDT treatment in V79 cells evaluated by neutral and alkaline comet assay without and with metabolic activation

Agent Treatment (μM) DIa
 
DF (%)a
 
Without S9 mix With S9 mix Without S9 mix With S9 mix 
Alkaline condition (pH 13.0) 
    NCb  35.3 ± 21.9 35.7 ± 20.3 30.0 ± 21.7 34.5 ± 23.4 
    PCc  117.5 ± 6.8** 217.0 ± 8.3** 75.0 ± 1.2** 88.3 ± 2.3** 
    DPDT 0.1 34.5 ± 10.9 48.3 ± 14.7 28.8 ± 8.4 38.5 ± 5.6 
0.5 46.3 ± 12.1 51.7 ± 19.8 39.2 ± 10.8 44.9 ± 17.0 
1.0 99.3 ± 7.3** 129.0 ± 14.1** 55.3 ± 3.3** 68.4 ± 2.5** 
5.0 127.3 ± 9.5** 169.5 ± 14.6*** 66.8 ± 2.7** 78.4 ± 1.9** 
10.0 170.5 ± 10.5** 217.5 ± 8.6*** 75.7 ± 3.5** 86.3 ± 2.7** 
50.0 248.3 ± 8.0** 292.5 ± 14.0*** 93.2 ± 2.9** 96.2 ± 1.6** 
Neutral conditions (pH 8.0) 
    NCb  19.8 ± 4.8 24.3 ± 5.9 18.5 ± 5.1 27.8 ± 14.5 
    PCc  102.3 ± 5.9** 224.5 ± 22.2** 50.8 ± 3.9** 82.1 ± 2.8** 
    DPDT 0.1 24.5 ± 7.2 31.8 ± 6.3 15.0 ± 8.3 27.9 ± 3.6 
0.5 27.5 ± 6.8 36.3 ± 6.9 20.5 ± 1.7 34.2 ± 2.2 
1.0 52.3 ± 11.6** 79.3 ± 9.3** 46.8 ± 5.9** 52.1 ± 3.9** 
5.0 66.5 ± 16.4** 87.3 ± 11.6** 50.7 ± 3.3** 59.2 ± 3.5** 
10.0 79.0 ± 14.5** 105.3 ± 7.3** 56.0 ± 2.4** 63.6 ± 1.3** 
50.0 108.8 ± 15.5** 149.5 ± 14.3*** 64.3 ± 2.5** 73.9 ± 2.4** 
Agent Treatment (μM) DIa
 
DF (%)a
 
Without S9 mix With S9 mix Without S9 mix With S9 mix 
Alkaline condition (pH 13.0) 
    NCb  35.3 ± 21.9 35.7 ± 20.3 30.0 ± 21.7 34.5 ± 23.4 
    PCc  117.5 ± 6.8** 217.0 ± 8.3** 75.0 ± 1.2** 88.3 ± 2.3** 
    DPDT 0.1 34.5 ± 10.9 48.3 ± 14.7 28.8 ± 8.4 38.5 ± 5.6 
0.5 46.3 ± 12.1 51.7 ± 19.8 39.2 ± 10.8 44.9 ± 17.0 
1.0 99.3 ± 7.3** 129.0 ± 14.1** 55.3 ± 3.3** 68.4 ± 2.5** 
5.0 127.3 ± 9.5** 169.5 ± 14.6*** 66.8 ± 2.7** 78.4 ± 1.9** 
10.0 170.5 ± 10.5** 217.5 ± 8.6*** 75.7 ± 3.5** 86.3 ± 2.7** 
50.0 248.3 ± 8.0** 292.5 ± 14.0*** 93.2 ± 2.9** 96.2 ± 1.6** 
Neutral conditions (pH 8.0) 
    NCb  19.8 ± 4.8 24.3 ± 5.9 18.5 ± 5.1 27.8 ± 14.5 
    PCc  102.3 ± 5.9** 224.5 ± 22.2** 50.8 ± 3.9** 82.1 ± 2.8** 
    DPDT 0.1 24.5 ± 7.2 31.8 ± 6.3 15.0 ± 8.3 27.9 ± 3.6 
0.5 27.5 ± 6.8 36.3 ± 6.9 20.5 ± 1.7 34.2 ± 2.2 
1.0 52.3 ± 11.6** 79.3 ± 9.3** 46.8 ± 5.9** 52.1 ± 3.9** 
5.0 66.5 ± 16.4** 87.3 ± 11.6** 50.7 ± 3.3** 59.2 ± 3.5** 
10.0 79.0 ± 14.5** 105.3 ± 7.3** 56.0 ± 2.4** 63.6 ± 1.3** 
50.0 108.8 ± 15.5** 149.5 ± 14.3*** 64.3 ± 2.5** 73.9 ± 2.4** 

Data significant in relation to DPDT treatments as compared to the negative control *P < 0.05, **P < 0.01 by one-way ANOVA Tukey's Multiple Comparison Test.

a

Mean values and SD obtained from four experiments in triplicate per dose for each substance.

b

Negative control (solvent).

c

Positive control: MMS treatment at 4 × 10−5 M in absence of metabolization and 1.5 × 10−5 M CP in presence of metabolization.

In order to determine the nature of the DPDT-induced DNA damage in V79 cells, we carried out a modified comet assay. While the alkaline version of the comet assay detects DNA SSBs and DSBs, crosslinks and alkali-labile sites, the modified comet assay is more specific than the standard method. In this version, there is an incubation step combining lysed cells with lesion-specific enzymes that recognize certain damaged bases, and the resultant abasic sites are converted to SSBs. The enzyme FPG is specific for oxidized purines, including 8-oxo-7,8-dihydroguanine, 2,6-diamino-4-hydroxy-5-formamidopyrimidine and 4,6-diamino-5-formamidopyrimidine, as well as other ring-opened purines. Endo III recognizes oxidized pyrimidines, including thymine glycol and uracyl glycol (31). In this manner, the DI increases in a dose-related fashion after incubation with the lesion-specific enzymes, and this increment represents the induction of oxidative DNA damage. The amounts of Endo III- and FPG-sensitive sites were calculated from the scores obtained with enzyme minus the scores obtained without enzyme (i.e. incubation with buffer alone), and these were considered the oxidative damage scores. It can be seen in Figure 5B and C that H2O2 treatment increases the extent of oxidative DNA damage recognized by Endo III and FPG in V79 cells. These results indicate the presence of oxidized pyrimidines and oxidized purines, respectively, validating the experiment. The oxidative damage scores in DPDT-treated V79 cells without (Figure 5B and C) and with (Figure 6A and B) metabolic activation indicated the occurrence of oxidative DNA damage. CP is an alkylating agent widely used as a positive control in tests using metabolic activation.

Fig. 5

Effect of pre-treatment with N-ac on DPDT-induced DNA damage in V79 cells as evaluated by the comet assay (A) or by a modified comet assay using FPG (B) and Endo III (C) enzymes. V79 cells were treated with DPDT for 2 h without metabolic activation. The oxidative damage score was calculated as the difference between the score obtained after incubation with the respective enzyme or with the enzyme buffer. Solvent was used as a negative control. Data are expressed as means ± SDs, n = 4. Significantly different in relation to the negative control or in relation to the treatment at the same DPDT concentration without N-ac pre-treatment, *P < 0.05, **P < 0.01 and ***P < 0.001 by one-way ANOVA with Tukey's Multiple Comparison Test.

Fig. 6

Oxidative damage induced by 2-h DPDT treatment with metabolic activation in V79 cells as evaluated by the modified comet assay using FPG (A) and Endo III (B) enzymes. The oxidative damage score was calculated as the difference between the score obtained after incubation with the respective enzyme or with the enzyme buffer. Data are expressed as means ± SDs, n = 4. Significantly different in relation to the untreated control, *P < 0.05 and ***P < 0.001 by one-way ANOVA with Tukey's Multiple Comparison Test.

Our results demonstrate that N-ac pre-treatment was able to decrease DPDT-induced DNA damage in V79 cells (Figure 5A). Moreover, the induction of oxidative damage recognized by FPG (Figure 5B) and Endo III (Figure 5C) decreased significantly, indicating that pre-treatment with N-ac reduces DPDT-induced oxidative DNA damage. Treatment with DPDT decreased the percentage of binucleated V79 cells in a dose-dependent manner, reinforcing the cytotoxic effect of this molecule on cell proliferation (Table VI). Furthermore, exposure at concentrations ranging from 0.5 to 50 μM significantly increased the frequency of micronucleus formation relative to the untreated control (Figure 7).

Table VI

Effect of DPDT treatment on the cell proliferation measured as percentage of BNCs in micronucleus assay

DPDT (μM) % BNCa 
Negative control 89.0 ± 3.2 
0.1 91.8 ± 4.1 
0.5 85.7 ± 2.2 
1.0 63.2 ± 1.4* 
5.0 54.4 ± 1.6** 
10.0 21.5 ± 0.2** 
50.0 9.2 ± 0.5** 
Positive control 59.1 ± 0.8** 
DPDT (μM) % BNCa 
Negative control 89.0 ± 3.2 
0.1 91.8 ± 4.1 
0.5 85.7 ± 2.2 
1.0 63.2 ± 1.4* 
5.0 54.4 ± 1.6** 
10.0 21.5 ± 0.2** 
50.0 9.2 ± 0.5** 
Positive control 59.1 ± 0.8** 

MMS was used as positive control. Data are expressed as mean ± SD, n = 4; *P < 0.05, **P < 0.01 (ANOVA, Tukey's test): untreated cells versus DPDT exposure and positive control versus negative control.

a

V79 cells were exposed to DPDT for 2 h and the BNC per 1000 cells were counted.

Table VI

Effect of DPDT treatment on the cell proliferation measured as percentage of BNCs in micronucleus assay

DPDT (μM) % BNCa 
Negative control 89.0 ± 3.2 
0.1 91.8 ± 4.1 
0.5 85.7 ± 2.2 
1.0 63.2 ± 1.4* 
5.0 54.4 ± 1.6** 
10.0 21.5 ± 0.2** 
50.0 9.2 ± 0.5** 
Positive control 59.1 ± 0.8** 
DPDT (μM) % BNCa 
Negative control 89.0 ± 3.2 
0.1 91.8 ± 4.1 
0.5 85.7 ± 2.2 
1.0 63.2 ± 1.4* 
5.0 54.4 ± 1.6** 
10.0 21.5 ± 0.2** 
50.0 9.2 ± 0.5** 
Positive control 59.1 ± 0.8** 

MMS was used as positive control. Data are expressed as mean ± SD, n = 4; *P < 0.05, **P < 0.01 (ANOVA, Tukey's test): untreated cells versus DPDT exposure and positive control versus negative control.

a

V79 cells were exposed to DPDT for 2 h and the BNC per 1000 cells were counted.

Fig. 7

Micronuclei induction in V79 cells by 2-h DPDT treatment. The micronucleus (MN) frequency is expressed per 2000 BNC. MMS was used as positive control. Solvent was used as negative control. Data are expressed as mean ± SD, n = 4. Significantly different in relation to the untreated control, *P < 0.05, **P < 0.01 and ***P < 0.001 by one-way ANOVA Tukey's Multiple Comparison Test.

Discussion

In this study, we evaluated the toxic and mutagenic properties of DPDT in bacteria, yeast and cultured mammalian cells. As expected, the cytotoxic threshold of DPDT was different in each biological model. In Salmonella TA100, this OT molecule was cytotoxic at concentrations >20 μM (data not shown), whereas in S.cerevisiae, such effects were observed starting at a concentration of 100 μM (Table III). The toxicity of Te (as tellurite) has been described previously in bacterial cells (1,32). However, this is the first report on the effects of OT in yeast. Our results in mammalian cell culture (Table IV) indicate that DPDT exhibits time- and dose-dependent cytotoxic effects in V79 cells. Moreover, cell proliferation data, based on the percentage of BNCs in the micronucleus assay, also show the cytotoxic effect of DPDT (Table VI). These results are in agreement with Sailer et al. (33), who reported induction of cell death in the promyelocytic HL-60 cell line at the same concentration range of DPDT. It is known that the toxicity of OT depends to a large degree on the relative solubility of the compound and therefore on its affinity for the cell membrane (33). In this regard, DPDT, which is highly hydrophobic, is one of the most toxic simple organotellurides. Engman et al. (34) investigated the cytotoxic potential of the water-soluble OT compounds diaryl ditelluride, alkyl aryl telluride and dialkyl telluride. They found that these molecules inhibited the growth of MCF-7 and HT-29 human cancer cell lines in culture at concentrations ranging from 5 to 10 μM, but their hydrophilicity seemed to restrict cellular uptake (33). The cytotoxicity of some other Te-containing compounds has been reported recently, and their employment in anti-proliferative therapy was suggested (34,35).

In contrast to selenium, no biological function has been ascribed to tellurium. This is probably related to its higher reactivity when compared to selenium. Indeed, tellurium has a similar electron configuration to selenium, and consequently, it shares some chemical properties with selenium (36). Organometalloids containing tellurium or selenium may have the ability to disturb redox homeostasis in cells at physiological pH and reduce oxygen to various reactive oxygen species (ROS) (37). In order to investigate this hypothesis, we measured the extent of lipid peroxidation in DPDT-treated yeast and mammalian cells. The occurrence of an increase in TBARS levels, shown in Figures 3A and 4A, suggests that ROS play an important role in DPDT cytotoxicity in S.cerevisiae and V79 cells. In accordance with this, Borges et al. (38) observed that the repeated administration of DPDT induced lipid peroxidation in rat liver and kidney. Moreover, DPDT treatment of female rats during lactation caused elevated levels of lipid peroxidation in several cerebral structures in their progeny through passage in maternal milk (39).

The present study also provides evidence that in the presence of DPDT, oxidation of GSH markedly increases in S.cerevisiae and V79 cells in a dose-dependent manner. This result suggests that DPDT can react with biological thiols. GSH depletion represents a decrease in non-enzymatic antioxidant defenses, which can lead to oxidative stress and consequently to induction of oxidative lesions, cell injury and loss of viability (40). If GSH is involved in the effects of DPDT, pre-treatment with compounds that stimulate an increase in cellular GSH should lower or even abolish this effect. N-ac is an antioxidant molecule that acts primarily by two mechanisms: (i) by promoting GSH synthesis, as it is readily deacetylated in cells to yield L-cysteine, and (ii) as an ROS scavenger and reacting (GSH-like) with various types of ROS, including hydroxyl radicals (41). In agreement with this, our results show that DPDT genotoxicity in V79 cells (Figure 5A) and mutagenicity in yeast (Table III) can be reduced by N-ac pre-treatment, thereby reducing the decline of GSH levels in the cell. This finding is consistent with the several reports about the interactions between selenium and tellurium and biological thiols, including our previous results about the toxic effects of diphenyl diselenide in yeast, V79 cells and mouse organs (42–44). In this context, DPDT inhibits δ-aminolevulinate dehydratase in several tissues and organs of rats and in human erythrocytes, as well as voltage-dependent calcium channels and Na+-K+-ATPase in mouse brain (45). The enzyme's activity can be restored and protected by treatment with GSH and dithiothreitol, indicating that this organochalcogen interacts with the sulfhydryl groups essential for enzyme activity. DPDT also disturbs calcium influx in hippocampal brain slices in vitro and glutamatergic neurotransmission in several models (11,46). These effects were attributed, at least in part, to modulation of cellular redox status affecting proteins-containing thiol moieties.

In order to increase knowledge of the toxicity of DPDT, an investigation of its genotoxic profile was performed. The observed induction of frameshift mutations in the Salmonella/microsome assay in strains TA97a and TA98 (Table II) cannot be related to direct oxidative damage as DPDT does not induce mutagenesis in the strains detecting base pair substitution used. Alternatively, the frameshift mutation can be a result of DPDT intercalating ability considering the planar structure of this compound. Interestingly, negative results for mutagenesis were obtained in S.typhimurium TA102, a strain that has a proven ability to detect mutagens that induce base pair substitutions in a TAA DNA sequence (17), indicating that oxidative lesions of this kind are not induced by DPDT. Similarly, diphenyl diselenide showed the same behaviour as DPDT in the Ames test (44). These results suggest that the lesion induced by these compounds could be rather specific and not detectable in the test system used or that only limited direct oxidative damage was induced by DPDT at the experimental conditions of our study. Although not mutagenic by itself, diphenyl diselenide enhances the hydrogen peroxide-induced mutagenesis in TA102, supporting an idea of indirect effect via GSH depletion (44). In this manner, the more accentuated oxidative damage on macromolecules observed in the eukaryotic yeast and V79 cells could be attributed to effects of DPDT on mitochondria and/or effects on the mitochondrial and cytosolic GSH pools.

In the present work, we also showed that DPDT treatment clearly induces frameshift mutations in yeast (Table III). In order to gain insight into these mechanisms, we studied the response of S.cerevisiae mutants defective in DNA repair to treatment with this OT. The results of survival assays demonstrated that DPDT leads to pronounced sensitivity in apn1Δ, ntg1Δ and ntg2Δ single mutants (Figure 2A), suggesting that the frameshift mutations observed in our experiment may be caused, at least partially, by base damage and/or apurinic/apyrimidinic (AP) sites induction in yeast test system. Apn1p, Ntg1p and Ntg2p are important proteins of the BER pathway: Apn1p is the major AP endonuclease in S.cerevisiae, and Ntg1p and Ntg2p are DNA glycosylases and AP lyases that recognize and remove oxidized purines and pyrimidines. The AP sites generated by glycosylase activity can be removed by the lyase activity of the enzyme or by the endonuclease Apn1p (47). In the absence of these proteins, there is an accumulation of AP sites generated after removal of damaged bases, and these are mutagenic and potentially lethal lesions that can block DNA replication and transcription (47). Restart of stalled forks can occur through a recombination-associated pathway or mutagenic TLS. The fact that ntg1Δntg2Δ and ntg1Δntg2Δapn1Δ mutants were sensitive to DPDT (Figure 2D) may indicate that both Ntg1p and Ntg2p are important in the repair of DPDT-induced lesions. In agreement with this, the ogg1Δ single mutant was sensitive to DPDT. The OGG1 gene encodes a DNA glycosylase with associated lyase activity that excises 8-hydroxyguanine and oxidized formamidopyrimidines (47).

The rad1Δ (deficient in the DNA endonuclease subunit of nucleotide excision repair factor 1, which cleaves single-stranded DNA during NER and DSB repair), rad6Δ (ubiquitin-conjugating enzyme (E2), involved in TLS) (48) and rev3Δ (deficient in the catalytic subunit of DNA polymerase zeta, which is involved in DNA repair and TLS) (49) strains did not present sensitivity for DPDT (Figure 2B). These data suggest that NER and TLS pathways alone are not important in repairing DPDT-induced DNA damage. Reinforcing this point, our data showed that quadruple mutants involving BER and NER (ntg1Δntg2Δapn1Δrad1Δ) or BER and TLS (ntg1Δntg2Δapn1Δrev3Δ) show sensitivity similar to the ntg1Δntg2Δapn1Δ triple mutant after treatment with DPDT (Figure 2D). The hypersensitivity of the rad52Δ mutant strain to DPDT (Figure 2C) suggests that HR is critical for the processing of potentially lethal genetic lesions and/or the rescue of collapsed replication forks resulting from DPDT-induced DNA damage. In addition, after treatment with DPDT, the quadruple mutant ntg1Δntg2Δapn1Δrad52Δ showed the highest sensitivity (Figure 2D), indicating that both the BER and HR pathways are important for the repair of DPDT-induced lesions. Thus, the BER pathway could initiate the repair by recognizing and removing the damaged DNA base through the activity of Apn1p, Ntg1p and Ntg2p, leading to strand break formation. These repair intermediates could stall the replication forks, resulting in DSBs that are substrates for the HR repair pathway. If not repaired, the DSBs lead to chromosomal breakage and rearrangements, which in mammalian cells lead to chromosomal aberrations and micronucleus formation (as observed in our experiment; Figure 7), and that can trigger cell death (50,51). Moreover, we observed enhanced sensitivity in strains deficient in subunits of the MRX complex (Figure 2C), which, in addition to its role in the HR, is also involved in DSBs processing by the NHEJ pathway in an error-prone manner and may participate in the mutagenesis observed after DPDT treatment (51).

In V79 cells, DPDT treatment induced DNA damage detected by neutral and alkaline comet assays. We found that DNA DSBs, as detected by the neutral comet assay, were significantly higher in number in V79 cells following exposure to DPDT (Table V). The DNA damage observed in V79 cells after DPDT exposure may be the result of the attack of free radicals on DNA as a consequence of their ability to impose oxidative stress since ROS may cause base damage, SSBs, DSBs and mutations (37,52). In fact, the results of the modified comet assay employing Endo III and FPG reinforce the oxidative nature of the DNA damage in DPDT-exposed cells. In addition, as N-ac pre-treatment was able to prevent DPDT-induced oxidative DNA damage (Figure 5B and C), DNA strand breaks can be attributed indirectly to decreasing GSH levels, which propitiate a pro-oxidant cellular status. In addition, the DSBs observed after DPDT treatment could indicate the ability of this compound to intercalate into DNA and/or affect topoisomerase activity. In agreement, DPDT treatment induced a time-dependent increase in the number of apoptotic cells from the S and G2 + M portions of the cell cycle in HL-60 cells, whereas no cell cycle specificity of apoptosis induction was noted for two other OT compounds, 3,3′-diaminodiphenyl ditelluride and 4,4′-diisopropyldiphenyl ditelluride (8). This suggests that DPDT interferes either with DNA replication or with cell division processes. The proposed ability of DPDT to intercalate into DNA disturbing the topoisomerase function is also consistent with our unpublished data about sensitivity of yeast topoisomerase mutants to DPDT.

Although the cytotoxicity and systemic toxicity of tellurium and OT in mammals have been reported, the genotoxic properties of these compounds are still unclear. In agreement with our data about the genotoxicity of DPDT, diaminophenyl telluride and dihydroxyphenyl telluride at 30 μM are able to induce DNA breakage in trout erythrocytes as evaluated by the comet assay (53). Sodium tellurite induces oxidative stress, which leads to DNA breakage and increases the frequency of micronucleus formation in human lymphocytes (54). It is important to mention that the mutagenic potential of DPDT may explain the reproductive toxicity described for this OT in rodents (12,13). Several observations suggest that organotellurides are more reactive than the structurally related organoselenium compounds due to their higher electronegativity in relation to carbon, which is associated with a larger atomic volume (36). This enhanced reactivity is evidenced in our study, where DPDT was cytotoxic, genotoxic and mutagenic in V79 cells at a concentration range lower than that of diphenyl diselenide evaluated under the same experimental conditions (42).

In summary, the cellular effects of DPDT appear to be very complex and linked to its ability to disturb cellular redox homeostasis, which leads to DNA base damage, DSBs formation and cell death. In addition, the DPDT induced frameshift mutation in S.typhimurium and S.cerevisiae cells, point mutation in yeast cells, as well as micronucleus formation in V79 cells. Moreover, N-ac pre-treatment was able to decrease the cytotoxic, genotoxic and mutagenic effects of this OT compound counteracting intracellular GSH depletion.

Funding

Brazilian Agencies Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo a Pesquisa do Rio Grande do Sul; Coordenação de Aperfeiçoamento e Formação de Pessoal de Nível Superior; GENOTOX-Genotoxicity Laboratory—Royal Institute to T.H.D.

Conflict of interest statement: None declared.

References

1.
Chasteen
TG
Fuentes
DE
Tantaleán
JC
Vásquez
CC
Tellurite: history, oxidative stress, and molecular mechanisms of resistance
FEMS Microbiol. Rev.
2009
(pg. 
1
-
13
)
2.
Bienert
GP
Schüssler
MD
Jahn
TP
Metalloids: essential, beneficial or toxic? Major intrinsic proteins sort it out
Trends Biochem. Sci.
2008
, vol. 
33
 (pg. 
20
-
26
)
3.
Goodrum
JF
Role of organotellurium species in tellurium neuropathy
Neurochem. Res.
1998
, vol. 
23
 (pg. 
1313
-
1319
)
4.
Toews
AD
Eckermann
CE
Roberson
MD
Lee
SY
Morell
P
Primary demyelination induced by exposure to tellurium alters mRNA levels for nerve growth factor receptor, SCIP, 2′,3′-cyclic nucleotide 3′-phosphodiesterase, and myelin proteolipid protein in rat sciatic nerve
Brain Res. Mol. Brain Res.
1991
, vol. 
11
 (pg. 
321
-
325
)
5.
Stangherlin
EC
Rocha
JB
Nogueira
CW
Diphenyl ditelluride impairs short term memory and alters neurochemical parameters in young rats
Pharmacol. Biochem. Behav.
2009
, vol. 
91
 (pg. 
430
-
435
)
6.
Nogueira
CW
Zen
G
Rocha
JB
Organoselenium and organotellurium compounds: toxicology and pharmacology
Chem. Rev.
2004
, vol. 
104
 (pg. 
6255
-
6285
)
7.
Friedman
M
Bayer
I
Letko
I
Duvdevani
R
Zavaro-Levy
O
Ron
B
Albeck
M
Sredni
B
Topical treatment for human papillomavirus associated genital warts in humans with the novel tellurium immunomodulator AS101: assessment of its safety and efficacy
Br. J. Dermatol.
2009
, vol. 
160
 (pg. 
403
-
408
)
8.
Sailer
BL
Liles
N
Dickerson
S
Chasteen
TG
Cytometric determination of novel organotellurium compound toxicity in a promyelocytic (HL-60) cell line
Arch. Toxicol.
2003
, vol. 
77
 (pg. 
30
-
36
)
9.
Nogueira
CW
Rotta
LN
Perry
ML
Souza
DO
Rocha
JB
Diphenyl diselenide and diphenyl ditelluride affect the rat glutamatergic system in vitro and in vivo
Brain Res.
2001
, vol. 
906
 (pg. 
157
-
163
)
10.
Borges
VC
Rocha
JB
Nogueira
CW
Effect of diphenyl diselenide, diphenyl ditelluride and ebselen on cerebral Na(+), K(+)-ATPase activity in rats
Toxicology
2005
, vol. 
215
 (pg. 
191
-
197
)
11.
Moretto
MB
Boff
B
Franco
J
Posser
T
Roessler
TM
Souza
DO
Nogueira
CW
Wofchuk
S
Rocha
JB
Ca(2+) influx in rat brain: effect of diorganylchalcogenides compounds
Toxicol. Sci.
2007
, vol. 
99
 (pg. 
566
-
571
)
12.
Roman
SS
Nava
A
Favero
AM
Weis
SN
Zeni
G
Rocha
JB
Nogueira
CW
Diphenyl ditelluride effect on embryo/fetal development in mice: interspecies differences
Toxicology
2007
, vol. 
231
 (pg. 
243
-
249
)
13.
Maciel
EN
Bolzan
RC
Braga
AL
Rocha
JB
Diphenyl diselenide and diphenyl ditelluride differentially affect delta-aminolevulinate dehydratase from liver, kidney, and brain of mice
J. Biochem. Mol. Toxicol.
2000
, vol. 
14
 (pg. 
310
-
319
)
14.
Schiar
VP
Dos Santos
DB
Paixão
MW
Nogueira
CW
Rocha
JB
Zeni
G
Human erythrocyte hemolysis induced by selenium and tellurium compounds increased by GSH or glucose: a possible involvement of reactive oxygen species
Chem. Biol. Interact.
2009
, vol. 
177
 (pg. 
28
-
33
)
15.
Hassan
W
Ibrahim
M
Nogueira
CW
Braga
AL
Deobald
AM
Mohammadzai
IU
Rocha
JB
Influence of pH on the reactivity of diphenyl ditelluride with thiols and anti-oxidant potential in rat brain
Chem. Biol. Interact.
2009
, vol. 
180
 (pg. 
47
-
53
)
16.
Braga
AL
Silveira
CC
Reckziegel
A
Menezes
PH
Convenient preparation of alkynyl selenides, sulfides and tellurides from terminal alkynes and phenylchalcogenyl halides in the presence of copper (I) iodide
Tetrahedron Lett.
1993
, vol. 
34
 (pg. 
8041
-
8042
)
17.
Mortelmans
K
Zeiger
E
The Ames Salmonella/microsome mutagenicity assay
Mutat. Res.
2000
, vol. 
455
 (pg. 
29
-
60
)
18.
Maron
DM
Ames
BN
Revised methods for the Salmonella mutagenicity test
Mutat. Res.
1983
, vol. 
113
 (pg. 
173
-
215
)
19.
Burke
D
Dawson
D
Stearns
T
Methods in Yeast Genetics, Cold Spring Harbour Laboratory Course Manual
2000
New York, USA
CSH Laboratory Press
20.
Von Borstel
RC
Cain
KT
Steinberg
CM
Inheritance of spontaneous mutability in yeast
Genetics
1971
, vol. 
69
 (pg. 
17
-
27
)
21.
Bradford
MA
Rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding
Anal. Biochem.
1976
, vol. 
72
 (pg. 
248
-
254
)
22.
Salgo
MG
Pryor
WA
Trolox inhibits peroxynitrite-mediated oxidative stress and apoptosis in rat thymocytes
Arch. Biochem. Biophys.
1996
, vol. 
15
 (pg. 
482
-
488
)
23.
Akerboom
T
Sies
H
Assay of glutathione, glutathione disulfide and glutathione mixed disulfides in biological samples
Meth. Enzymol.
1981
, vol. 
77
 (pg. 
373
-
382
)
24.
Decker
T
Lohmann-Matthes
ML
A quick and simple method for the quantitation of lactate dehydrogenase release in measurements of cellular cytotoxicity and tumor necrosis factor (TNF) activity
J. Immunol. Methods
1988
, vol. 
115
 (pg. 
61
-
69
)
25.
Singh
NP
McCoy
MT
Tice
RR
Scheider
EL
A simple technique for quantification of low levels of DNA damage in individual cells
Exp. Cell Res.
1988
, vol. 
175
 (pg. 
184
-
191
)
26.
Tice
RR
Agurell
E
Anderson
D
, et al. 
Single cell gel/comet assay: guidelines for in vitro and in vivo genetic toxicology testing
Environ. Mol. Mutagen.
2000
, vol. 
35
 (pg. 
206
-
221
)
27.
Ku
WW
Bigger
A
Brambilla
G
, et al. 
Strategy Expert Group, IWGT, Strategy for genotoxicity testing—metabolic considerations
Mutat. Res.
2007
, vol. 
627
 (pg. 
59
-
77
)
28.
Bonacker
D
Stoiber
T
Wang
M
Bohm
KJ
Prots
I
Unger
E
Their
R
Bolt
HM
Degen
GH
Genotoxicity of inorganic mercury salts based on disturbed microtubule function
Arch. Toxicol.
2004
, vol. 
78
 (pg. 
575
-
583
)
29.
Fenech
M
The in vitro micronucleus technique
Mutat. Res.
2000
, vol. 
455
 (pg. 
81
-
95
)
30.
Myers
L
Adams
N
Kier
L
Rao
TK
Shaw
B
Williams
L
Krewski
D
Franklin
CA
Microcomputer software for data management and statistical analysis of the Ames/Salmonella test
Statistics in Toxicology
1991
New York
Gordon and Breach
(pg. 
265
-
279
)
31.
Dizdaroglu
M
Base-excision repair of oxidative DNA damage by DNA glycosylases
Mutat. Res.
2005
, vol. 
591
 (pg. 
45
-
59
)
32.
Gharieb
MM
Gadd
GM
Evidence for the involvement of vacuolar activity in metal(loid) tolerance: vacuolar-lacking and -defective mutants of Saccharomyces cerevisiae display higher sensitivity to chromate, tellurite and selenite
Biometals
1998
, vol. 
2
 (pg. 
101
-
106
)
33.
Sailer
BL
Liles
N
Dickerson
S
Sumners
S
Chasteen
TG
Organotellurium compound toxicity in a promyelocytic cell line compared to non-tellurium-containing organic analog
Toxicol. In Vitro
2004
, vol. 
18
 (pg. 
475
-
482
)
34.
Engman
L
Kandra
T
Gallegos
A
Williams
R
Powis
G
Water-soluble organotellurium compounds inhibit thioredoxin reductase and the growth of human cancer cells
Anticancer Drug Des.
2000
, vol. 
15
 (pg. 
323
-
330
)
35.
McNaughton
M
Engman
L
Birmingham
A
Powis
G
Cotgreave
IA
Cyclodextrin-derived diorganyl tellurides as glutathione peroxidase mimics and inhibitors of thioredoxin reductase and cancer cell growth
J. Med. Chem.
2004
, vol. 
47
 (pg. 
233
-
239
)
36.
Comasseto
JV
Ling
LW
Petragnani
N
Stefani
HA
Vinylic selenides and tellurides-preparation, reactivity and synthetic applications
Synthesis
1997
, vol. 
4
 (pg. 
373
-
403
)
37.
Valko
M
Rhodes
CJ
Moncol
J
Izakovic
M
Mazur
M
Free radicals, metals and antioxidants in oxidative stress-induced cancer
Chem. Biol. Interact.
2006
, vol. 
160
 (pg. 
1
-
40
)
38.
Borges
VC
Rocha
JB
Savegnago
L
Nogueira
CW
Repeated administration of diphenyl ditelluride induces hematological disorders in rats
Food Chem. Toxicol.
2007
, vol. 
45
 (pg. 
1453
-
1458
)
39.
Stangherlin
EC
Ardais
AP
Rocha
JB
Nogueira
CW
Exposure to diphenyl ditelluride, via maternal milk, causes oxidative stress in cerebral cortex, hippocampus and striatum of young rats
Arch. Toxicol.
2009
, vol. 
83
 (pg. 
485
-
491
)
40.
Zafarullah
M
Li
WQ
Sylvester
J
Ahmad
M
Molecular mechanisms of N-acetylcysteine actions
Cell. Mol. Life Sci.
2003
, vol. 
60
 (pg. 
6
-
20
)
41.
Estrela
JM
Ortega
A
Obrador
E
Glutathione in cancer biology and therapy
Crit. Rev. Clin. Lab. Sci.
2006
, vol. 
43
 (pg. 
143
-
181
)
42.
Rosa
RM
Picada
JD
Saffi
J
Henriques
JA
Cytotoxic, genotoxic, and mutagenic effects of diphenyl diselenide in Chinese hamster lung fibroblasts
Mutat. Res.
2007
, vol. 
628
 (pg. 
87
-
98
)
43.
Rosa
RM
Hoch
NC
Furtado
GV
Saffi
J
Henriques
JA
DNA damage in tissues and organs of mice treated with diphenyl diselenide
Mutat. Res.
2007
, vol. 
633
 (pg. 
35
-
45
)
44.
Rosa
RM
Sulzbacher
K
Picada
JN
Roesler
R
Saffi
J
Brendel
M
Henriques
JA
Genotoxicity of diphenyl diselenide in bacteria and yeast
Mutat. Res.
2004
, vol. 
563
 (pg. 
107
-
115
)
45.
Nogueira
CW
Borges
VC
Zeni
G
Rocha
JB
Organochalcogens effects on delta-aminolevulinate dehydratase activity from human erythrocytic cells in vitro
Toxicology
2003
, vol. 
191
 (pg. 
169
-
178
)
46.
Moretto
MB
Thomazi
AP
Godinho
G
Roessler
TM
Nogueira
CW
Souza
DO
Wofchuk
S
Rocha
JB
Ebselen and diorganylchalcogenides decrease in vitro glutamate uptake by rat brain slices: prevention by DTT and GSH
Toxicol. In Vitro
2007
, vol. 
21
 (pg. 
639
-
645
)
47.
Boiteux
S
Guillet
M
Abasic sites in DNA: repair and biological consequences in Saccharomyces cerevisiae
DNA Repair
2004
, vol. 
3
 (pg. 
1
-
12
)
48.
Prakash
S
Prakash
L
Nucleotide excision repair in yeast
Mutat. Res.
2000
, vol. 
451
 (pg. 
13
-
24
)
49.
Gan
GN
Wittschieben
JP
Wittschieben
BO
Wood
RD
DNA polymerase zeta in higher eukaryotes
Cell Res.
2008
, vol. 
18
 (pg. 
174
-
183
)
50.
Yang
Z
Waldmann
AS
Wyatt
MD
DNA damage and homologous recombination signaling induced by thymidylate deprivation
Biochem. Pharmacol.
2008
, vol. 
76
 (pg. 
987
-
996
)
51.
Pastwa
E
Blasiak
J
Non-homologous DNA end joining
Acta Biochim. Polonica
2003
, vol. 
50
 (pg. 
891
-
908
)
52.
David
SS
O'Shea
VL
Kundu
S
Base-excision repair of oxidative DNA damage
Nature
2007
, vol. 
447
 (pg. 
941
-
950
)
53.
Tiano
L
Fedeli
D
Santroni
AM
Villarini
M
Engman
L
Falcioni
G
Effect of three diaryl tellurides, and an organoselenium compound in trout erythrocytes exposed to oxidative stress in vitro
Mutat. Res.
2000
, vol. 
464
 (pg. 
269
-
277
)
54.
Migliore
L
Cocchi
L
Nesti
C
Sabbioni
E
Micronuclei assay and FISH analysis in human lymphocytes treated with six metal salts
Environ. Mol. Mutagen.
1999
, vol. 
34
 (pg. 
279
-
284
)