Abstract
Alcohol consumption is an established risk factor for cancers of the head and neck, colorectum, liver and female breast. Acetaldehyde, the primary metabolite of ethanol, is suspected to play a major role in alcohol-related carcinogenesis. Acetaldehyde binds to DNA resulting in formation of adducts. DNA adducts are involved in mutagenesis and carcinogenesis. N 2-Ethylidenedeoxyguanosine (N 2-ethylidene-dGuo) is the major adduct formed in this reaction. Studies have shown an association between alcohol drinking and levels of this DNA adduct, suggesting its potential use as a biomarker for studying alcohol-related carcinogenesis. However, there are no reports on the kinetics of formation and repair of N 2-ethylidene-dGuo after alcohol consumption. Therefore, we investigated levels of N 2-ethylidene-dGuo in DNA from human peripheral blood cells at several time points after consumption of increasing doses of alcohol. Ten healthy non-smokers were recruited and asked to abstain from alcohol consumption except for the study doses. The subjects were given measured doses of alcohol once a week for 3 weeks, targeting increasing blood alcohol levels. Blood was collected at several time points before and after each dose, DNA was isolated from granulocytes and lymphocytes and N 2-ethylidene-dGuo was quantified as its NaBH3CN reduction product N 2-ethyldeoxyguanosine by liquid chromatography–electrospray ionisation–tandem mass spectrometry. Significant increases in N 2-ethylidene-dGuo were observed after all doses and in both cell types. However, there was substantial intraindividual variability, indicating that there are other important sources of this adduct in peripheral blood DNA. Further studies are needed to better understand the origins of N 2-ethylidene-dGuo in blood cells, the exposures it reflects, and thus its potential use as a marker of alcohol’s genotoxic effects.
Introduction
Acetaldehyde associated with alcohol consumption has been recently classified as ‘carcinogenic to humans’ by the International Agency for Research on Cancer (1). This classification is mainly based upon evidence indicating oesophagus and head and neck as principal sites of carcinogenicity of acetaldehyde metabolically formed from ethanol. Mechanistic evidence in humans deficient in aldehyde dehydrogenase, the primary enzyme responsible for acetaldehyde degradation, further supports the link between acetaldehyde and cancers of the upper aerodigestive tract (2).
Acetaldehyde reacts with nucleophilic sites of DNA bases forming adducts. DNA adducts are important in mutagenesis and carcinogenesis. The major DNA adduct produced in the reaction of acetaldehyde with DNA is N2-ethylidenedeoxyguanosine (N2-ethylidene-dGuo) (3). This adduct can be reduced in vivo to N2-ethyldeoxyguanosine (N2-ethyl-dGuo), although this is a minor pathway (4).
N2-Ethyl-dGuo has been detected in the DNA of both ethanol-treated mice and human alcoholics (4,5). Aldehyde dehydrogenase–deficient drinkers with a high risk for esophageal cancer had relatively high levels of acetaldehyde-derived DNA adducts in their lymphocytes (2). We observed an increasing trend of N2-ethylidene-dGuo levels in leukocyte DNA, measured as the NaBH3CN reduction product N2-ethyl-dGuo, for increasing amounts of alcohol consumed per day (6). The effect of alcohol on adduct levels was observed only when including heavy drinkers in the analysis. Acetaldehyde-derived DNA adducts can also be formed after reaction of endogenously formed acetaldehyde with DNA (7). Collectively, these results indicate that N2-ethylidene-dGuo or its reduction product N2-ethyl-dGuo in leukocyte DNA could be used as biomarkers for understanding carcinogenesis by alcohol. However, there is no information in the literature on the kinetics of formation and persistence of acetaldehyde-DNA adducts after alcohol consumption.
Therefore, in this study, we quantified N2-ethylidene-dGuo, as its reduction product N2-ethyl-dGuo, in granulocyte and lymphocyte DNA at intervals after consumption of known amounts of alcohol. An understanding of the effects of alcohol consumption on levels of acetaldehyde–DNA adducts in blood cell DNA is critical for the further validation of N2-ethylidene-dGuo as a biomarker for studies of alcohol carcinogenesis.
Materials and methods
Subjects
Ten healthy volunteers, 5 of whom were men, were recruited from students and employees of the University of Minnesota. They were all social drinkers who consumed alcoholic beverages regularly in moderation, defined as taking at least one drink a week and three drinks over a 4-h period at least one time in the month before the study. They were greater than 21 years old, non-smokers, in good mental and physical health and had no unstable medical conditions and no history of alcohol abuse based on a medical history questionnaire. The following exclusion criteria were used: Asian ethnicity, periodontal disease or other oral lesions that might affect drug absorption, chronic use of a drug that could interact with alcohol and insulin-dependent diabetes. For women, pregnancy and current breastfeeding were additional exclusion criteria. Subjects were asked to refrain from using any recreational drug and from ingesting any ethanol-containing product other than the study dose for the 4-week duration of the study.
Study design
The study was approved by the University of Minnesota Human Research Protection Programs Institutional Review Board. Subjects were enrolled after signing a consent form and evaluation of the eligibility criteria. Medical and alcohol drinking history in the past 12 months and lifetime were obtained by questionnaire. This was an open-label study design in which each subject served as his/her own control. Subjects participated in an initial meeting in which they were provided with information about the study; a blood sample was collected at that time. Participants were asked to refrain from using any mouthwash containing alcohol and from drinking any alcohol other than that administered in the study, starting at the initial meeting. One week later, the subjects returned to the clinic for the first alcohol dose. The meeting was scheduled at 8 a.m. The subjects were asked to come to the clinic after having had a light breakfast (cereal, milk and coffee) consumed at least 90 min before the alcohol dose. Subjects provided a blood sample before drinking the alcohol dose. Vodka, 100 proof, was mixed with tonic water and 1 ml of Rose lime juice, all purchased at a local liquor store. The amount of the drink served to each subject was calculated based on body weight and gender (8) in order to reach a blood alcohol level of 0.03%. Subjects took one sip every 5 min over a 20-min period. Systemic alcohol concentration was measured with a breath alcohol analyser, 30 min after the last sip (9). Blood samples were collected 2, 4 and 6 h after completion of the dosing period. Subjects were asked to refrain from drinking and eating between completion of the alcohol dose and the 4-h sample collection. Between the 4- and 6-h samples, the subjects had a light meal. They returned to the clinic between 8 and 10 a.m, 1, 2 and 5 days after the dose, providing a blood sample at each time point. One week after the first alcohol dose, the subjects came back to the clinic for the second alcohol dose. The session started at 8 a.m. They provided a blood sample before drinking. The alcoholic beverage was prepared as in the first session, but with a target blood alcohol level of 0.05%. They took one sip every 5 min over a 30-min period. Samples were collected following the protocol described for the first dosing session. One week after the second alcohol dose, they came back to the clinic for the third and final alcohol dose. The session started at 8 a.m. They gave a blood sample before drinking. The alcoholic beverage was prepared as in the first dosing meeting, with a target blood alcohol level of 0.07%. They took one sip every 5 min over a 40-min period. Samples were collected following the protocol described for the first dosing session, with addition of one sample collected 7 days after the last dose.
Blood collection and cell isolation
Blood samples were collected by venipuncture. Separation of lymphocytes and granulocytes from whole blood was performed using a density-gradient protocol (miltenybiotec.com) with some modifications. Briefly, 10 ml of whole blood was diluted with 35 ml of 2 mM EDTA in phosphate-buffered saline and layered on top of 15 ml Histopaque (Sigma–Aldrich, St Louis, MO, USA). Samples were centrifuged at 400 g for 40 min. The layer of lymphocytes and then the layer of granulocytes were aspirated and transferred into two separate vials. DNA was isolated using the DNA purification from white blood cell protocol (Qiagen Corp., Valencia, CA, USA) with several modifications. Briefly, 3 ml of RBC solution were added to the cells. After 5-min incubation at room temperature, the samples were centrifuged at 2000 g for 10 min. Cell lysis solution (3 ml) was added to the cell pellet and the sample was incubated at room temperature overnight. A solution of RNase A (15 μl of 4 mg/ml) was added and the sample was incubated at room temperature for 2 h. Protein precipitation solution (1 ml) was added to the cell lysate and the mixture was centrifuged to remove proteins. DNA was precipitated from the supernatant by addition of 4 ml of isopropanol. After centrifugation, the DNA pellet was washed with 1 ml of 70% ethanol in H2O and then 1 ml of 100% ethanol (AAPER Alcohol and Chemical Co., Shelbyville, KY, USA). DNA was dried in a stream of N2 and stored at −20°C until use.
Chemicals and enzymes
N2-ethyl-dGuo and [15N5]N2-ethyl-dGuo were prepared as described (10). Puregene DNA purification solutions were obtained from Qiagen. Calf thymus DNA was purchased from Worthington Biochemical Corporation (Lakewood, NJ, USA). Alkaline phosphatase (from calf intestine) was obtained from Roche Diagnostics Corporation (Indianapolis, IN, USA). All other chemicals and enzymes were purchased from Sigma–Aldrich.
DNA hydrolysis and sample enrichment
These were performed as previously reported (6). Briefly, for enzyme hydrolysis, DNA was dissolved in 400 μl of 10 mM Tris/5 mM MgCl2 buffer containing [15N5]N2-ethyl dGuo (50 fmol) and NaBH3CN (30 mg). After the pH was adjusted to 7 with 0.1 N HCl, the DNA was initially digested overnight at room temperature with 1300 units of DNase I (type II, from bovine pancreas). To the resulting mixture were added 1300 additional units of DNase I, 0.07 units of phosphodiesterase I (type II, from Crotalus adamanteus venom), and 750 units of alkaline phosphatase. The mixture was incubated at 37°C for 70 min. It was then allowed to stand overnight at room temperature. The enzymes were removed by centrifugation using a centrifree ultrafiltration device ( Molecular Weight cutoff of 30 000; Amicon, Beverly, MA, USA). A 10-μl aliquot of the hydrolysate was removed for dGuo analysis. The hydrolysate was desalted and purified using a solid-phase extraction cartridge [Strata-X 33 μm, 30 mg/1 ml (Phenomenex, Torrance, CA, USA)]. The 70% CH3OH fraction was collected and concentrated to dryness, dissolved in 1 ml of H2O and purified using a mixed mode, anion exchange reversed-phase extraction cartridge (Oasis MAX, 30 mg/cartridge; Waters). Adducts were eluted with 1 ml of 70% CH3OH, and the solution was evaporated to dryness. The residue was dissolved in 20 μl of H2O, and 8 μl aliquots were analysed by liquid chromatography–electrospray ionisation–tandem mass spectrometry (LC-ESI-MS/MS). Samples from each dose for each subject, including baseline and time-points after consumption of the dose, were processed together as a set, resulting in three sets per subject. Buffer blanks containing internal standard were processed as above and analysed to check the MS instrument baseline and possible contamination. Calf thymus DNA (0.1 mg) with internal standard added as above was used as a positive control. Each set of samples was run together with one buffer blank and three positive controls.
High-performance liquid chromatography–ultraviolet spectrometric analysis
Quantitation of dGuo was performed using an Agilent 1100 capillary flow HPLC with a diode array UV detector set at 254 nm (Agilent Technologies, Palo Alto, CA, USA). A 4.6 mm × 25 cm Luna 5 μm C18 column (Phenomenex) was used with a gradient from 5 to 40% CH3OH in H2O over the course of 35 min at a flow rate of 10 μl/min.
LC-ESI-MS/MS analysis
This was carried out with an Agilent 1100 capillary flow HPLC (Agilent Technologies) equipped with a 250 mm × 0.5 mm 5-μm particle size Polar RP column (Phenomenex) and a Vantage (Thermoelectron, San Jose, CA, USA) triple quadrupole mass spectrometer. The solvent elution program was a 10 μl/min gradient from 5 to 40% CH3OH in 35 min at 30°C. The ESI source was set in the positive ion mode as follows: voltage, 3.7 kV; current, 3 μA; and heated ion transfer tube, 275°C. The collision energy was 12 eV, and the Ar collision gas pressure was 1.0 mTorr.
Adducts were quantified by MS/MS with selected reaction monitoring (SRM) at m/z 296 → m/z 180 ([M + H]+ → [BH]+) for N2-ethyl-dGuo and m/z 301 → m/z 185 for [15N5]N2-ethyl-dGuo.
A calibration curve was constructed before each analysis using a standard solution of N2-ethyl-dGuo and [15N5]N2-ethyl-dGuo. A constant amount of [15N5]N2-ethyl-dGuo (5 fmol) was mixed with differing amounts of N2-ethyl-dGuo (0.1, 0.5, 4, 10 and 100 fmol) and analysed by LC-ESI-MS/MS-SRM.
Statistical analysis
To determine whether the levels of N2-ethyl-dGuo reached a peak, the ratio of the maximum level reached at each dose to the baseline level of N2-ethyl-dGuo for that dose was calculated on the log scale and a 95% confidence interval (CI) for the ratio was formed. The estimate and confidence limits were then converted back to the original scale. The same method was used to determine whether the levels of N2-ethyl-dGuo returned to baseline after reaching a peak, except that the ratio was formed using the baseline N2-ethyl-dGuo level for the next alcohol dose or the final N2-ethyl-dGuo level in the case of the third alcohol dose. To determine whether there was a dose–response, a repeated measures model was used, with the log of dose predicting the peak/baseline ratio, modelling the covariance matrix with dose as the repeated factor within subjects. To determine whether the granulocyte N2-ethyl-dGuo peaks were greater than the lymphocyte N2-ethyl-dGuo peaks, the differences between the peak/baseline ratios were calculated and 95% CIs for the differences were formed. The same method was used to determine whether the levels of N2-ethyl-dGuo in granulocytes were higher than their levels in lymphocytes.
Results
The mean age of the subjects was 25 ± 3 (mean ± SD) and they were all Caucasian. All subjects participated in the introductory and three dosing meetings and provided the blood samples requested at all time points for a total of 230 samples. Demographics, amounts of ethanol administered, and systemic alcohol levels reached after each dose are summarised in Table I. Women reached an average of 0.03 ± 0.02%, 0.05 ± 0.01% and 0.06 ± 0.01% blood alcohol after drinking an average of 19.4 ± 3.6, 28.0 ± 5.2 and 36.6 ± 6.8 g of alcohol in the three sessions. Men reached an average of 0.03 ± 0.01%, 0.05 ± 0.01% and 0.07 ± 0.01% after drinking 27.2 ±1.6, 39.3 ± 2.4 and 51.4 ± 3.1 g of alcohol in the three sessions.
Table I.
Subject | Gender | Age | Weight (kg) | Dose 1 | Dose 2 | Dose 3 | |||
Ethanol (g) | BACb | Ethanol (g) | BAC | Ethanol (g) | BAC | ||||
1 | F | 30 | 59 | 16.1 | 0.02 | 23.2 | 0.04 | 30.4 | 0.04 |
2 | F | 23 | 65 | 17.7 | 0.02 | 25.6 | 0.05 | 33.4 | 0.06 |
3 | F | 23 | 64 | 17.6 | 0.03 | 25.4 | 0.05 | 33.3 | 0.05 |
4 | F | 26 | 92 | 25.2 | 0.04 | 36.4 | 0.05 | 47.6 | 0.07 |
5 | F | 28 | 74 | 20.2 | 0.05 | 29.2 | 0.06 | 38.2 | 0.07 |
Mean ± SD | 26 ± 3 | 71 ± 13 | 19.4 ± 3.6 | 0.03 ± 0.02 | 28.0 ± 5.2 | 0.05 ± 0.01 | 36.6 ± 6.8 | 0.06 ± 0.01 | |
6 | M | 31 | 82 | 26.8 | 0.01 | 38.7 | 0.05 | 50.6 | 0.06 |
7 | M | 23 | 79 | 26.0 | 0.04 | 37.6 | 0.05 | 49.2 | 0.07 |
8 | M | 24 | 83 | 27.4 | 0.04 | 39.5 | 0.05 | 51.7 | 0.06 |
9 | M | 22 | 91 | 29.9 | 0.04 | 43.2 | 0.05 | 56.5 | 0.08 |
10 | M | 25 | 79 | 25.9 | 0.04 | 37.3 | 0.04 | 48.8 | 0.08 |
Mean ± SD | 25 ± 4 | 83 ± 5 | 27.2 ± 1.6 | 0.03 ± 0.01 | 39.3 ± 2.4 | 0.05 ± 0.01 | 51.4 ± 3.1 | 0.07 ± 0.01 |
This table is also presented in a separate paper on oral cell DNA adducts in the same individuals (11).
BAC, blood alcohol concentration: milligrams of alcohol in 100 ml blood expressed as %.
Granulocytes and lymphocytes were isolated from each blood sample and DNA was extracted (mean ± SD, 94 ± 54 μg and 82 ± 32 μg, respectively), giving a total of 460 DNA samples. N2-Ethylidene-dGuo (as N2-ethyl-dGuo) was quantified in 423 samples treated with NaBH3CN; the analysis failed in 37 samples due to poor recovery. The results are summarised in Tables II and III.
Table II.
Subject | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
Dose 1 | Baseline | 7446 | 8467 | 15 290 | 9894 | 7196 | 9865 | 9095 | 8210 | 8881 | 7371 |
2 h | 7621 | 9815 | 16 750 | 13 690 | 6811 | 11 540 | 5580 | 8224 | 13 390 | 5659 | |
4 h | 10 270 | 9968 | 23 140 | 15 740 | 9825 | 9595 | 6806 | 7863 | — | 4637 | |
6 h | 7399 | 6983 | 13 000 | 15 740 | 9453 | 9301 | 7464 | 6733 | 7189 | 3155 | |
24 h | 7397 | 8292 | 3403 | 2104 | 2158 | 3576 | 7978 | 4930 | 6008 | 5931 | |
48 h | 10 400 | 6869 | 13 900 | 16 290 | 25 160 | 14 610 | 7244 | 5169 | 11 050 | 6707 | |
120 h | 7290 | 5521 | 12 600 | 14 240 | 14 260 | 12 910 | 13 580 | 5769 | 6660 | 5546 | |
Dose 2 | Baseline | 7991 | 12 550 | 9898 | 6623 | 6773 | —a | 3877 | 2178 | — | 5476 |
2 h | 8618 | 13 620 | 8158 | 7550 | 5859 | — | 3252 | 3224 | — | 19 250 | |
4 h | 6208 | 15 530 | 11 580 | 7919 | 7188 | — | 3918 | 1795 | — | 4781 | |
6 h | 3379 | 10 650 | 10 400 | 3758 | 6984 | — | 2835 | 1887 | — | 3053 | |
24 h | 8886 | 12 780 | 6590 | 7521 | 6946 | — | 4654 | 4613 | — | 1361 | |
48 h | 8076 | 8168 | 10 270 | 4923 | 10 820 | — | 3998 | 3168 | — | 2063 | |
120 h | 20 440 | 15 460 | 6256 | 9313 | 9394 | — | 3951 | 4501 | — | 653 | |
Dose 3 | Baseline | —a | 8697 | 7893 | 4358 | 7833 | 5988 | 4555 | 8498 | 9354 | 520 |
2 h | 4662 | 21 200 | 4689 | 4948 | 5625 | 3405 | 3123 | 14 710 | 7515 | — | |
4 h | 6591 | 17 500 | 3040 | 5065 | 4895 | 4036 | 10 790 | 7885 | 4282 | 1181 | |
6 h | 4565 | 9053 | 2276 | 5109 | 4141 | 1808 | 6235 | 4819 | 7133 | 3391 | |
24 h | 11 960 | 9644 | 11 230 | 4488 | 22 360 | 6224 | 1102 | 3968 | 1025 | 813 | |
48 h | 4774 | 5629 | 7552 | 13 070 | 40 630 | 11 560 | 3751 | 3543 | 3430 | — | |
120 h | 3316 | 761 | 10 500 | — | 14 670 | 12 300 | 795 | 789 | 887 | 723 | |
168 h | 3589 | 862 | 12 170 | 5481 | 5535 | 4643 | 913 | 1693 | 1076 | 9276 | |
1 week before dose 1 | 12 520 | 9331 | 8883 | 8980 | 9045 | 9656 | 9655 | 7409 | 7225 | 7708 |
Levels of N2-ethylidene-dGuo (as N2-ethyl-dGuo) were measured in granulocyte DNA from each subject. The last row reports participants’ adduct levels measured 1 week before the first dose was given. This is the point at which participants began to abstain from consumption of any alcoholic beverage other than the dose given for the study. ‘Baseline’ levels of N2-ethyl-dGuo were also measured 1 h before each dose was given. The rows that follow report the levels of N2-ethyl-dGuo at the various time points after consumption of the three increasing doses (from dose 1 to dose 3).
Levels of N2-ethyl-dGuo not quantified due to poor recovery.
Table III.
Subject | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
Dose 1 | Baseline | 8741 | 11 770 | 9858 | 12 400 | 1006 | 10 970 | 4923 | 3765 | 6518 | 5094 |
2 h | 11 310 | 8069 | 10 180 | 13 300 | 8870 | 10 440 | 4136 | 5200 | 7648 | 3991 | |
4 h | 11 480 | 15 100 | 8702 | 11 820 | 7061 | 8479 | 5620 | 6206 | 4444 | 5397 | |
6 h | 7783 | 6318 | 10 080 | 12 240 | 7575 | 9796 | 6248 | 3573 | 6385 | 6022 | |
24 h | 13 550 | 5970 | 19 070 | 11 720 | 9227 | 15 910 | 5801 | 4356 | 5925 | 5200 | |
48 h | 5762 | 7454 | 16 320 | 13 660 | 6394 | 12 510 | 5274 | 5696 | 13 900 | 3955 | |
120 h | 4795 | 5128 | 10 970 | 13 760 | 7866 | 7389 | 3904 | 5513 | 4250 | 6231 | |
Dose 2 | Baseline | 9576 | 13 110 | 16 960 | 13 650 | 9716 | —a | 2663 | 1902 | — | 1909 |
2 h | 10 700 | 10 380 | 14 810 | 8383 | 10 590 | — | 2157 | 2473 | — | 1688 | |
4 h | 6787 | 6463 | 16 220 | 11 300 | 19 800 | — | 2203 | 1730 | — | 4728 | |
6 h | 9750 | 8363 | 15 790 | 11 250 | 9410 | — | 1748 | 2507 | — | 3815 | |
24 h | 5684 | 8569 | 11 800 | 10 270 | 7724 | — | 3080 | 3321 | — | 3782 | |
48 h | 3008 | 2001 | 4605 | 6239 | 3506 | — | 2887 | 1458 | — | 2196 | |
120 h | 8602 | 11 610 | 6072 | 4628 | 4377 | — | 3237 | 2411 | — | 2102 | |
Dose 3 | Baseline | —a | 8063 | 7259 | 2939 | 5971 | 6164 | 4384 | 2801 | 932 | 4809 |
2 h | 7219 | 40 190 | 5145 | 4963 | 3986 | 4279 | 9334 | 10670 | 4576 | — | |
4 h | 6811 | 2850 | 2909 | 2936 | 2226 | 5026 | 5802 | 3380 | — | 5864 | |
6 h | 5600 | 8478 | 2966 | 4005 | 4595 | 1342 | 3609 | 2079 | 1798 | 11 660 | |
24 h | 8144 | 4905 | 5198 | 4512 | 8579 | 7615 | 5079 | 1780 | 1254 | 804 | |
48 h | 6539 | 2282 | 5598 | 4271 | 13 430 | 17 940 | 2645 | 2945 | 2698 | — | |
120 h | 13 400 | 776 | 4537 | 5588 | 7126 | 1911 | 3071 | 909 | 660 | 4231 | |
168 h | 4960 | 2965 | 9647 | 4708 | 1852 | 3510 | 1236 | 5389 | 3365 | 789 | |
1 week before dose 1 | 10 170 | 5431 | 8095 | 15 430 | 5878 | 9724 | 8192 | 5421 | 9582 | 4595 |
Levels of N2-ethylidene-dGuo (as N2-ethyl-dGuo) were measured in lymphocyte DNA from each subject. The last row reports participants’ adduct levels measured 1 week before the first dose was given. This is the point at which participants began to abstain from consumption of any alcoholic beverage other than the dose given for the study. ‘Baseline’ levels of N2-ethyl-dGuo were also measured 1 h before each dose was given. The rows that follow report the levels of N2-ethyl-dGuo at the various time points after consumption of the three increasing doses (from dose 1 to dose 3).
Levels of N2-ethyl-dGuo not quantified due to poor recovery.
Levels of N2-ethyl-dGuo increased in all subjects after most of the doses and the increase was up to 5-fold in DNA extracted from both lymphocytes and granulocytes. The results from granulocyte DNA (Table II) showed an increase in N2-ethyl-dGuo levels in 8 out of 10 subjects after the first dose, in 8 out of 8 subjects after the second dose and in 9 out of 10 subjects after the third dose. N2-Ethyl-dGuo increases were observed within 24 h in most cases, frequently starting 2–4 h after alcohol consumption. Similar results were observed for the lymphocyte DNA samples (Table III). The increase of N2-ethyl-dGuo levels was seen in all subjects after the first dose, in 5 out of 8 subjects after the second dose and in 9 out of 10 subjects after the third dose. As in the granulocyte DNA samples, N2-ethyl-dGuo increases were observed mostly within 24 h after alcohol consumption, mainly 2–4 h after the dose. Although in both granulocyte and lymphocyte DNA an increase was observed mostly 2–4 h after the dose, the peak levels of N2-ethyl-dGuo were reached later in time.
Statistical analyses are summarised in Table IV. Significant peak/baseline ratios of N2-ethyl-dGuo in granulocyte DNA were observed 36 h after the first dose, 43 h after the second dose and 32 h after the third dose. The increases were dose dependent (P < 0.001). After reaching a peak, levels of N2-ethyl-dGuo returned to baseline after all doses. However, this observation was only statistically significant after the first and third doses. Baseline levels of N2-ethyl-dGuo in granulocyte DNA significantly decreased throughout the duration of the study (P = 0.021).
Table IV.
Dose 1 | Dose 2 | Dose 3 | ||
Granulocytes | Peak/baselinea, mean (95% CI) | 1.5 (1.2, 2.0) | 1.7 (1.2, 2.4) | 2.7 (1.7, 4.2) |
Peak timing (h)b | 36 | 43 | 32 | |
Peak/next baselinec, mean (95% CI) | 2.2 (1.3, 3.9) | 2.1 (0.6, 7.2) | 3.8 (1.2, 12.1) | |
Lymphocytes | Peak/baselinea, mean (95% CI) | 1.8 (1.0, 2.7) | 1.6 (1.1, 2.5) | 3.00 (2.2, 4.1) |
Peak timing (h)b | 40 | 31 | 29 | |
Peak/next baselinec, mean (95% CI) | 1.6 (1.0, 2.5) | 1.3 (0.5, 3.7) | 4.5 (2.0, 10.5) | |
Granulocyte–lymphocyte | Differenced | 0.8 (0.61, 1.13) | 1.25 (0.8, 2.1) | 1.1 (0.6, 2.1) |
The ratio between the average maximum N2-ethyl-dGuo level reached after each dose of alcohol and the average baseline level for that dose was calculated and a 95% CI for the ratio was formed.
The average time at which the maximum N2-ethyl-dGuo was reached after each dose was calculated.
To determine whether the levels of N2-ethyl-dGuo returned to baseline after reaching a peak, the ratio between the average maximum N2-ethyl-dGuo level reached after each alcohol dose and the average baseline DNA adduct level measured for the next alcohol dose was calculated. The final N2-ethyl-dGuo level measured at 168 h was used as next baseline level for the third alcohol dose.
To verify whether there was a difference between the levels N2-ethyl-dGuo in granulocyte and lymphocyte DNA, we calculated the difference between the granulocyte and lymphocyte peak/baseline ratios and constructed a 95% CI for the difference.
Significant peak/baseline ratios of N2-ethyl-dGuo in lymphocyte DNA were observed 40 h after the first dose, 31 h after the second dose and 29 h after the third dose. The increases were significant after all three doses, but no dose-dependent effect was observed (P = 0.061). After reaching a peak, levels of N2-ethyl-dGuo decreased after all doses. However, the decrease was significant only after the first and third dose. A decreasing trend in baseline levels of N2-ethyl-dGuo was not observed in lymphocyte DNA samples (P = 0.261). However, the levels measured in the samples taken at the end of the study (168 h after the third dose of alcohol) were significantly lower than the levels measured in the first samples taken at the beginning of the study (P = 0.002).
Levels of N2-ethyl-dGuo showed considerable intra- and interindividual variation in the DNA of both cell types. Overall, the levels of N2-ethyl-dGuo were similar in lymphocyte and granulocyte DNA, but no clear correspondence in the N2-ethyl-dGuo trends was observed when comparing the levels in lymphocyte and granulocyte DNA within subjects.
Discussion
The results of this study demonstrate that alcohol consumption increases levels of the major acetaldehyde–DNA adduct N2-ethylidene-dGuo, measured as N2-ethyl-dGuo, in peripheral blood cells. In both granulocytes and lymphocytes, the effect was significant within 40 h, even after consumption of the lowest dose of alcohol tested, comparable to roughly one drink. The effect observed in granulocyte DNA was dose dependent. In lymphocyte DNA, the effect was significant at all doses although no dose dependence was observed. To our knowledge, this is the first study to investigate the effects of alcohol consumption on the time course of DNA adduct formation in blood cells from healthy volunteers. All previously published studies reporting effects of alcohol consumption on N2-ethyl-dGuo levels were performed with heavy drinkers or alcoholics (5) and no time dependence of DNA adduct formation was reported. Very few previous studies have reported the time course of DNA adduct formation after exposure to any dietary or lifestyle-associated carcinogen (12,13). Investigation of the kinetics of formation of DNA adducts in humans after exposure to DNA-binding compounds has been limited mostly to studies testing clinical response to platinum-based therapies in cancer patients (14).
The rationale for this study originated in our recent observation of a dose–response effect of ethanol consumption on levels of N2-ethylidene-dGuo in leukocyte DNA (6). In that study, some of the subjects were hospitalised and a decreasing trend in adduct levels was observed with increasing length of the subjects’ stay in the hospital. This observation suggested the need to understand the kinetics of N2-ethylidene-dGuo formation and removal. Furthermore, the large interindividual variation observed in that study suggested exploration of potential differences in exposure reflected by DNA from cells with differing lifespans or repair capacities. Another previous study reported higher levels of N2-ethyl-dGuo in granulocyte DNA compared to lymphocyte DNA in alcoholic patients (5). Therefore, in this study, we investigated the role of alcohol consumption on DNA adduct formation in granulocytes and lymphocytes from healthy subjects who consumed increasing doses of ethanol in a controlled setting. We targeted blood alcohol levels below intoxication (considered to arise at a blood alcohol level of 0.08%) (8). The three doses selected for our study can roughly be described as 1, 2 or 3 drinks per subject. Potential exposure to acetaldehyde already present in the alcoholic beverage was reduced by selecting 100 proof vodka as the source of alcohol. Acetaldehyde content in vodka is low compared to that in other hard liquors (15). Since tobacco smoke can be a source of acetaldehyde, we restricted the recruitment to non-smokers. Food can interfere with alcohol absorption and can also be a source of acetaldehyde. Therefore, the study participants were asked to eat only a light breakfast at least 90 min before administration of the alcohol dose and they were not allowed to eat until 4 h after the dose. Finally, to reduce the potential influence of other sources of alcohol on the results, our subjects were asked to refrain from using any alcohol or any mouthwash containing alcohol for the duration of the study.
Although we observed increases in the levels of N2-ethyl-dGuo in most subjects after each dose, as well as a dose–response effect of alcohol consumption on DNA adduct levels in granulocytes, there was, in spite of the study design features discussed above, considerable intraindividual variation in adduct levels and adduct peak times, even for the same subject in both lymphocyte and granulocyte DNA. Furthermore, a high background level was observed for all subjects recruited clearly indicating other major sources of N2-ethylidene-dGuo in blood cell DNA than ethanol consumption or cigarette smoking, both of which were controlled in this study. Average levels of N2-ethylidene-dGuo in the subjects analysed were ∼7500 fmol/μmol Gua or 15 adducts per 107 nucleotides, which is comparable to the levels we previously reported in leukocyte DNA (6) but roughly 10-fold higher than the levels we found in human liver DNA (10) and the levels described in human lung DNA (16). These levels are in the high range of reported ‘endogenous’ DNA adducts, similar to reports of oxidative DNA adducts like 8-oxo-dGua that have been attributed to oxidative stress (17). These factors detract from the potential utility of this biomarker for studies in alcohol carcinogenesis and from formulating any conclusion on the biological significance of this DNA adduct, at least until additional origins of adduct levels and variation can be more clearly delineated. Acetaldehyde can be produced in the body through metabolism of threonine, alanine and deoxyribose phosphate (18). Alanine is synthesised in the body but is also present in a number of foods. Oxidative stress is another factor that could play a role in endogenous levels of acetaldehyde, possibly due to inhibition of aldehyde oxidation by products of oxidative stress (19) or to production of acetaldehyde by activated immune cells (20). Additionally, phagocytes oxidise α-amino acids to aldehydes and form acetaldehyde through myeloperoxidase mediation of alanine oxidation (21). Myeloperoxidase is found in high abundance in human neutrophils and circulating monocytes. This endogenous source of acetaldehyde could influence specifically its concentration in the blood, explaining the higher levels of N2-ethyl-dGuo levels measured in whole blood cells compared to the levels reported in human lung and liver. In another part of this study, levels of N2-ethyl-dGuo were quantified in oral cells obtained from the same individuals. The results, which will be described separately (11), showed lower background levels, lower variability and a clearer effect of alcohol consumption on peak DNA adduct levels. A dose-dependent increase was observed for all subjects after all doses and N2-ethyl-dGuo levels reached a peak within 2–4 h after exposure. Concentrations of acetaldehyde in saliva after drinking alcohol are much higher than in blood, due in part to oral microflora metabolism of ethanol, likely contributing to the differing results (18).
Ethanol is absorbed from the intestines and metabolised in the liver. Blood alcohol concentration reaches a peak generally between 30 and 90 min after a drink. Blood acetaldehyde levels after alcohol consumption follow a similar trend (18). However, acetaldehyde can bind to a wide variety of proteins such as albumin, cytochromes P450, low-density lipoproteins and haemoglobin. Some haemoglobin adducts degrade within 5 days from alcohol exposure (22). The release of acetaldehyde from the degradation of protein adducts could contribute to the increases in N2-ethyl-dGuo which we observed at some of the longer intervals after alcohol exposure.
Levels of N2-ethylidene-dGuo in granulocyte DNA decreased significantly during the course of the study. In lymphocyte DNA, this trend was not observed. However, N2-ethylidene-dGuo levels in the first sample, taken at the beginning of the study, were significantly higher than in the last sample taken 168 h after the last dose. Subjects were asked to refrain from alcohol drinking for the duration of the study (other than the study doses). The decrease in the baseline levels of N2-ethylidene-dGuo could be due to this abstinence from alcohol.
A limitation of this study was the relatively small number of participants, which was dictated mainly by the large number of DNA adduct analyses required to determine the time course of N2-ethylidene-dGuo formation and removal. These mass spectrometry–based analyses, while highly sensitive and dependable, are nevertheless time consuming and expensive. The relatively small number of participants also prevented us from examining the influence of polymorphisms in alcohol and aldehyde dehydrogenase genes. The unexpected within-subject variability observed in this study underlines the need for further investigations on a larger number of study participants, possibly with dietary restrictions, and the need for a comparison with controls not exposed to ethanol. This would allow assessment of the normal variation in adduct levels over the time interval studied. The absence of this control group was another limitation in this study.
In conclusion, we present evidence that N2-ethylidene-dGuo levels, measured as N2-ethyl-dGuo in granulocyte and lymphocyte DNA, are influenced by ethanol metabolism to acetaldehyde even at the lowest alcohol dose tested. However, the significance of this increase is limited by variability observed both in the time to biomarker peak intensity and in the peak intensity itself, even within the same subject. These results underline the importance of investigating the kinetics of formation of DNA adducts proposed as biomarkers for human studies.
Funding
National Institute of Environmental Health Sciences (ES-11297 to S.S.H.); to National Cancer Institute Cancer Center Support Grant (CA-77598).
Acknowledgments
Mass spectrometry was carried out in the Analytical Biochemistry Shared Resource of the Masonic Cancer Center.
Conflict of interest statement: None declared.
References
- 1.Secretan B, Straif K, Baan R, et al. A review of human carcinogens-Part E: tobacco, areca nut, alcohol, coal smoke, and salted fish. Lancet Oncol. 2009;10:1033–1034. doi: 10.1016/s1470-2045(09)70326-2. [DOI] [PubMed] [Google Scholar]
- 2.Matsuda T, Yabushita H, Kanaly RA, Shibutani S, Yokoyama A. Increased DNA damage in ALDH2-deficient alcoholics. Chem. Res. Toxicol. 2006;19:1374–1378. doi: 10.1021/tx060113h. [DOI] [PubMed] [Google Scholar]
- 3.Wang M, McIntee EJ, Cheng G, Shi YL, Villalta PW, Hecht SS. Identification of DNA adducts of acetaldehyde. Chem. Res. Toxicol. 2000;13:1149–1157. doi: 10.1021/tx000118t. [DOI] [PubMed] [Google Scholar]
- 4.Fang JL, Vaca CE. Development of a 32P-postlabelling method for the analysis of adducts arising through the reaction of acetaldehyde with 2'-deoxyguanosine-3'-monophosphate and DNA. Carcinogenesis. 1995;16:2177–2185. doi: 10.1093/carcin/16.9.2177. [DOI] [PubMed] [Google Scholar]
- 5.Fang JL, Vaca CE. Detection of DNA adducts of acetaldehyde in peripheral white blood cells of alcohol abusers. Carcinogenesis. 1997;18:627–632. doi: 10.1093/carcin/18.4.627. [DOI] [PubMed] [Google Scholar]
- 6.Balbo S, Hashibe M, Gundy S, et al. N-2-Ethyldeoxyguanosine as a potential biomarker for assessing effects of alcohol consumption on DNA. Cancer Epidemiol. Biomarkers Prev. 2008;17:3026–3032. doi: 10.1158/1055-9965.EPI-08-0117. [DOI] [PubMed] [Google Scholar]
- 7.Chen L, Wang MY, Villalta PW, Luo XH, Feuer R, Jensen J, Hatsukami DK, Hecht SS. Quantitation of an acetaldehyde adduct in human leukocyte DNA and the effect of smoking cessation. Chem. Res. Toxicol. 2007;20:108–113. doi: 10.1021/tx060232x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Fisher HR, Simpson RI, Kapur BM. Calculation of blood-alcohol concentration (Bac) by sex, weight, number of drinks and time. Can J Public Health—Rev Can Sante Pub. 1987;78:300–304. [PubMed] [Google Scholar]
- 9.Jones AW, Andersson L. Comparison of ethanol concentrations in venous blood and end-expired breath during a controlled drinking study. Forensic Sci. Int. 2003;132:18–25. doi: 10.1016/s0379-0738(02)00417-6. [DOI] [PubMed] [Google Scholar]
- 10.Wang MY, Yu NX, Chen L, Villalta PW, Hochalter JB, Hecht SS. Identification of an acetaldehyde adduct in human liver DNA and quantitation as N-2-ethyldeoxyguanosine. Chem. Res. Toxicol. 2006;19:319–324. doi: 10.1021/tx0502948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Balbo S, Meng L, Bliss RL, Jensen JA, Hatsukami DK, Hecht SS. Kinetics of DNA adduct formation in the oral cavity after drinking alcohol. 2012 doi: 10.1158/1055-9965.EPI-11-1175. Cancer Epidemiol. Biomarkers Prev. Feb 20 2012 [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dingley KH, Curtis KD, Nowell S, Felton JS, Lang NP, Turteltaub KW. DNA and protein adduct formation in the colon and blood of humans after exposure to a dietary-relevant dose of 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine. Cancer Epidemiol. Biomarkers Prev. 1999;8:507–512. [PubMed] [Google Scholar]
- 13.Rothman N, Poirier MC, Baser ME, Hansen JA, Gentile C, Bowman ED, Strickland PT. Formation of polycyclic aromatic hydrocarbon DNA adducts in peripheral white blood-cells during consumption of charcoal-broiled beef. Carcinogenesis. 1990;11:1241–1243. doi: 10.1093/carcin/11.7.1241. [DOI] [PubMed] [Google Scholar]
- 14.Pieck AC, Drescher A, Wiesmann KG, Messerschmidt J, Weber G, Strumberg D, Hilger RA, Scheulen ME, Jaehde U. Oxaliplatin-DNA adduct formation in white blood cells of cancer patients. Br. J. Cancer. 2008;98:1959–1965. doi: 10.1038/sj.bjc.6604387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.International Agency for Research on Cancer. Alcohol Consumption and Ethyl Carbamate. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, v. 96. Lyon, FR: IARC; 2010. [PMC free article] [PubMed] [Google Scholar]
- 16.Singh R, Sandhu J, Kaur B, Juren T, Steward WP, Segerback D, Farmer PB. Evaluation of the DNA damaging potential of cannabis cigarette smoke by the determination of acetaldehyde derived N(2)-ethyl-2'-deoxyguanosine adducts. Chem. Res. Toxicol. 2009;22:1181–1188. doi: 10.1021/tx900106y. [DOI] [PubMed] [Google Scholar]
- 17.De Bont R, van Larebeke N. Endogenous DNA damage in humans: a review of quantitative data. Mutagenesis. 2004;19:169–185. doi: 10.1093/mutage/geh025. [DOI] [PubMed] [Google Scholar]
- 18.Jones AW. Measuring and reporting the concentration of acetaldehyde in human breath. Alcohol and Alcoholism. 1995;30:271–285. [PubMed] [Google Scholar]
- 19.Jinsmaa Y, Florang VR, Rees JN, Anderson DG, Strack S, Doorn JA. Products of oxidative stress inhibit aldehyde oxidation and reduction pathways in dopamine catabolism yielding elevated levels of a reactive intermediate. Chem. Res. Toxicol. 2009;22:835–841. doi: 10.1021/tx800405v. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Shin HW, Umber BJ, Meinardi S, Leu SY, Zaldivar F, Blake DR, Cooper DM. Acetaldehyde and hexanaldehyde from cultured white cells. J Transl Med. 2009;7:835–841. doi: 10.1186/1479-5876-7-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hazen SL, Hsu FF, d'Avignon A, Heinecke JW. Human neutrophils employ myeloperoxidase to convert alpha-amino acids to a battery of reactive aldehydes: a pathway for aldehyde generation at sites of inflammation. Biochemistry. 1998;37:6864–6873. doi: 10.1021/bi972449j. [DOI] [PubMed] [Google Scholar]
- 22.Yokoyama A, Tsutsumi E, Imazeki H, Suwa Y, Nakamura C, Mizukami T, Yokoyama T. Salivary concentration according to alcoholic beverage consumed and aldehyde dehydrogenase-2 genotype. Alcohol Clin. Exp. Res. 2008;32:1607–1614. doi: 10.1111/j.1530-0277.2008.00739.x. [DOI] [PubMed] [Google Scholar]
- 23.Toennes SW, Wagner MG, Kauert GF. Application of LC-TOF MS to analysis of hemoglobin acetaldehyde adducts in alcohol detoxification patients. Anal. Bioanal. Chem. 2010;398:769–777. doi: 10.1007/s00216-010-3931-1. [DOI] [PubMed] [Google Scholar]