Abstract
DNA damages and antioxidant status was assessed after 8 weeks of purple grape juice supplementation in male smokers depending on the glutathione S-transferase polymorphisms. Ninety-five smokers consumed 480 ml of purple grape juice for 8 weeks. The blood samples were collected before and after supplementation to measure lymphocyte DNA damages, plasma antioxidants, conjugated diene, and the erythrocyte antioxidant enzymes. The diastolic pressure, lymphocyte DNA damage, and plasma conjugated diene were significantly decreased but the plasma γ-tocopherol was increased in GSTM1-null genotype, while increased blood glutathione and decreased lymphocyte DNA damage were observed in GSTM1-present genotype. In case of GSTT1 on the other hand, the decrease in diastolic pressure and lymphocyte DNA damage was observed in both null types and present types, but the erythrocyte catalase activity was decreased in GSTT1-null type and the plasma vitamin C level was increased in GSTT1-present type, suggesting that, the antioxidant effect of grape juice was greater in GSTT1-present type compared to GSTT1-null type. The intakes of 8-week purple grape juice affected diastolic blood pressures, DNA damage reductions and antioxidant status in smokers, mainly greater in GSTM1-null type and GSTT1-present type.
Keywords: purple grape juice, antioxidant status, blood pressure, DNA damage, GST polymorphism
Introduction
Smoking causes abnormal increases not only in free radicals but also in internal oxidation and the production of reactive oxygen species (ROS), which further increases oxidative stress and weakens the antioxidant and immune systems. Also, lipid peroxidation and oxidative DNA damage are increased(1) and the levels of antioxidant such as plasma vitamin C and vitamin E are decreased(2,3) due to the imbalance between pro-oxidant and antioxidant.
Recently, it has been reported that the degrees of DNA damages by carcinogens or oxidative stress, or the metabolism of carcinogens in the body, or the recovery from DNA damages by antioxidant administration, are different among individuals.(4) The reason for individual variation is that the individual genetic susceptibility for oxidative stress or antioxidant foods is different because of the presence of genetic polymorphisms of the enzymes that are responsible for inducing and suppressing oxidative stresses to individuals.(5) Thus, it is necessary to consider the genetic polymorphisms of the participants to find out individual differences in the antioxidant nutrients status for humans.(6)
Glutathione S-transferase (GST) is a phase II group enzyme that forms a protective system against carcinogens and plays a role in eliminating ROS and carcinogens from the external environments, and, thus, protecting the human body from oxidative stresses by binding glutathione to electrophilic compounds. GST has several genetic polymorphisms, such as α (GSTA), π (GSTP), µ (GSTM), and θ (GSTT), among which the GSTM1 and GSTT1 have been known to be related to smoking, DNA damage, and antioxidant. In participants with GSTM1-null genotype, it has been reported that the susceptibility to inflammation and the risk for smoking-related cancers are increased(7) and the DNA adduct level is high.(8) The risk for colon cancer and colorectal cancer are also high in GSTT1-null genotype.(9) And, it has been reported that the antioxidant nutrients status is low and the degree of DNA damages is high in the null genotype of both GSTM1 and GSTT1,(10) and the risk for coronary artery diseases is high.(11) On the other hand, the aggravation of antioxidant status including increased DNA damages has been identified when GSTM1 null genotype and GSTT1 genotype coexisted.(12) A few observational studies on blood pressure changes and antioxidant status depending on GST genetic polymorphisms in smokers and adults have been reported in the country and abroad,(10,12) but interventional studies on the changes of blood pressure and antioxidant status after antioxidant supplementations are seldom being found. Recently, it has been reported that the effect of reducing DNA damages by antioxidant in meals is varied depending on the detoxification activity of GSTM1 isoenzyme.(13) Also, it has been reported that the levels of urinary 8-hydroxydeoxyguanosine (8-OHdG) decreased in smokers after drinking more than 4 cups of green tea per day, and this effect is better observed in GSTM1 and GSTT1-positive type,(14) while the effect of reducing DNA adduct was observed in GSTM1 null genotype when fermented papaya was consumed for 3 months in the elderly.(8) However, changes in antioxidant nutrient status and blood pressure depending on GSTM1 and GSTT1 polymorphisms have not yet been reported in nutrition intervention studies in which antioxidant foods or nutrients are administered to smokers. Meanwhile, it has been recently reported that the intake of grape juice among antioxidant foods delays LDL oxidation, reduces DNA damages, and lowers the risk for cardiovascular diseases.(2) Thus, the study was performed to investigate the changes in blood pressure, DNA damage, and antioxidant nutrient status depending on GST genetic polymorphisms designing the experimental period to be 8 weeks according to the results of previous studies.(15,16)
Materials and Methods
Participants and dietary intake assessment
This research has been carried out for 8 weeks for the 95 male smokers, ages between 19–59, who were living in the area of Daejeon, in the central province of Republic of Korea. After being informed of its purpose, nature, and potential risks, they gave written consents to participate in the study. Approval for the study was obtained from the Institutional Review Board of the Hannam University, Korea (approval code: 2011-01k). Smokers of at least 8 cigarettes per day for at least 3 years were selected as participants. Information regarding individual characteristics, health status, and lifestyle factors including smoking, alcohol, and exercise were collected by questionnaires. Participants suffering from poor health or who were consuming prescribed medications were excluded from the study. The participants’ weight, height, waist, hip circumferences were measured using standard protocols. These measurements were then used for calculating body mass index (BMI) and waist-hip ratio (WHR). Body fat was measured by Bio-electrical Impedance Fatness Analyzer (Inbody 520, Biospace, Seoul, Korea).
Dietary information provided by the participants was recorded using 24-h recall and a food frequency questionnaire. Total nutrients intake was estimated using the CAN Pro 3.0 (Nutrition Information Center, Korean Nutrition Society, Seoul, Korea), and evaluated using the Korean Dietary Reference Intakes (2010).(17)
Grape juice supplementation
Three bottles (total 480 ml) of commercialized 100% purple grape juice (Welch’s Company, Concord, MA) were supplemented every day to the participants. Consuming 3 bottles of grape juice did increased the simple sugar intake, but, considering the cultural characteristics, 60–65% of carbohydrate is an acceptable amount. The % of daily carbohydrate intake in Korean are normally over 60% of the total kcal. The participants were instructed to consume grape juices daily with recordings on the daily log. Depletion period was set up for 2 weeks restricting the consumption of grape or grape products, fruits and vegetables with high antioxidant nutrients before the supplementation of grape juices. This period will keep the antioxidant vitamin status within similar levels at baeline. Also, they were reminded and advised over the phone individually to refrain from the supplementation of meals or foods during the experiment periods which may affect the antioxidant index.
Blood analysis
Blood was drawn from the participants at the beginning (0 week) and 8 weeks after the supplementation of grape juices. Blood samples drawn from the survey participants after a minimum 12 h overnight fasting was put in the 10 ml heparinated sterile tube (Becton Dickinson Co. Franklin, NJ) and brought to the laboratory. Some of the blood was put in separately for Comet analysis to measure the DNA damages. The remaining blood was centrifuged at 1,000 rpm for 15 min to collect the PRP (platelet-rich plasma) on the top, and then it was centrifuged again at 3,000 rpm for 30 min to collect the PDP (platelet-deficient plasma) for the separation of blood plasma. The blood plasma was divided for each analysis item and kept at −80°C in the freezer until use. The erythrocyte pellet was separated and stored at −70°C until analyzed, at which point it was thawed and re-suspended in ice-cold water and mixed thoroughly by vortex. An ice cold extraction reagent of ethanol and chloroform was added to the erythrocyte suspension and the suspension was mixed by vortex for 30 s. Samples were centrifuged at 3,000 rpm for 2 min at 4°C and the supernatants were divided into various concentrations.
Analysis of the GSTM1 and GSTT1 genetic polymorohisms
The GSTM1 and GSTT1 genotypes were determined essentially as previously described.(7,12) Briefly, the GSTM4-specific primer pair (sense: 5'-CGCCATCTTGTGCTACATTGGCCG-3' and antisense: 5'-ATCTTCTCCTCTTCTGTCTC-3'), which was never deleted, was used as internal control. The primers for amplifying the GSTM1 gene were (sense) 5'-CGCCATCTTGTGCTA CATTGGCCGTC-3' and (antisense) 5'-TTCTGGATTGTAGCAGATCA-3'. The primers for GSTT1 gene were (sense) 5'-TTCCTTACTGGTCCTCACATCTC-3' and (antisense) 5'-TCACCGGAT CATGGCCAGCA-3'. The polymerase chain reaction (PCR) was performed in 50 µl reaction mix containing 0.1 µg DNA, 5 mM deoxyribonucleoside triphosphates, 30 pmol of each primer, 30 mM MgCl2, and 0.5 U thermostable Taq DNA polymerase. After 15 min of pretreatment at 95°C the reaction was subjected to 30 cycles of amplification at 94°C for 1 min, annealing at 61°C for 1 min, 1 min of extension at 72°C and then store at 8°C. The products of the PCR amplification were separated by electrophoresis in a 1.5% agarose gel and stained with ethidium bromide. The internal standard fragment amplified from β-globin gene was 268 bp. A 215 bp fragment was amplified for the GSTM1 gene, and the 480 bp fragment was obtained for GSTT1 gene. The absence of amplified product was consistent with the null genotypes. All reagents and chemicals for the genetic polymorphims were purchased from Bioneer (Daejeon, Korea).
DNA damage determination by the alkaline comet assay
The alkaline Comet assay was conducted as described by Singh et al.,(18) with little modifications. Lymphocytes were separated by using 100 µl of Histopaque 1077, after mixing the fresh whole blood 70 µl in the 900 µl PBS. The isolated lymphocytes were subjected to oxidative stress by suspending in phosphate-buffered saline with 100 µmol/l H2O2 for 5 min. The lymphocytes were mixed with 75 µl of 0.7% low-melting agarose and added to the slides pre-coated with 0.5% agarose. The slides were then immersed in lysis solution and were then placed into an electrophoresis tank containing 300 mmol/l NaOH and 10 mmol/l Na2-EDTA (pH 13.0) for 40 min. The slides were electrophoresed for 20 min, washed three times with a neutralizing buffer and then treated with ethanol for another 5 min before staining with ethidium bromide to view under fluorescent microscope (Leica, Wetzlar, Germany). The image of each nucleus received through the CCD camera (Nikon, Tokyo, Japan) was analyzed by the computer equipped comet image analyzing system (Kinetic Imaging, Liverpool, UK). DNA damage of lymphocyte and the damage restriction levels by the supplementation of grape juice were observed by the 3 analysis indexes of tail length (TL), which is the distance of the DNA fragment moved from the nucleus, DNA in tail (% DNA), and tail moment (TM), which is the multiplied value of TL and % DNA. The DNA damage degree was measured by total 100 lymphocytes 50 cells from each of two replicate slides.
Plasma antioxidant vitamin level measurements
Plasma concentrations of vitamin C were measured spectrophotometrically by a chromogen using the 2,4-dinitrophenylhydrazine method.(12) Plasma was deproteinated with meta-phosphoric acids and the resulting protein-free plasma was treated with 2,4-dinitro-phenylhydrazone-thiourea-copper sulfate reagent. The dehydroascorbic acids formed from the oxidation of ascorbic acids by copper was spectrophotometrically measured as the 2,4-dinitrophenylhydrazone derivative. Plasma levels of a-tocopherol, γ-tocopherol, α-carotene and β-carotene were analyzed with high-performance liquid chromatography with fluorometric detection using a modified version of a previously described method.(19)
Total radical-trapping antioxidant potential (TRAP) measurements
Plasma total antioxidant capacity was measured as the Trolox equivalent antioxidant capacity by the method of Rice-Evans and Miller.(20) The inhibition of absorbance was directly proportional to antioxidant capacity in the samples. The absorbance of samples was measured by UV/VIS spectrometry at 740 nm after incubating the samples at 30°C for 6 min. The concentrations of TRAP in plasma were calculated according to the calibration curve of Trolox.
Blood glutathione (GSH) analysis
Glutathione (GSH) was measured by modifying the DTNB [5,5'-dithiobis (2-nitrobenzoic acid)] method (QuantiChrom Glutathione Assay kit; BioAssay Systems).(21) The whole blood was diluted 20 times with distilled water to prepare samples, and reagent A 120 µl and sample 120 µl were mixed and centrifuged at 14,000 rpm for 5 min. Reagent A contained EDTA to prevent blood coagulation and to eliminate color development and proteins. After centrifugation, the supernatant was collected and placed in a 96-well plate, and then reagent B was added and left at room temperature for 25 min. The absorbance was measured at 412 nm using enzyme-linked immunosorbent assay and enzyme-linked immunospecific assay (ELISA), and the calibration curve was made using GSH as a standard.
Determination of plasma lipid profiles
Plasma lipid, total cholesterol and triglyceride contents were analyzed using the Photometric Auto analyzer (ERBACHEM-PRO) which had been kept in the –80°C freezer, with the enzyme solution 1 ml of the kit reagent produced by Somang Pharmaceutical Co., Ltd. (Suwon, Korea) and reactivated for 5 min in the constant temperature water bath. The HDL-Cholesterol was analyzed using the Photometric Autoanalyzer following the manual provided with the kit. LDL-Cholesterol was calculated using the Friedwald(22) equation.
Lipid peroxidation measurements
The amount of low-density lipoprotein (LDL) oxidation products was estimated based on the levels of conjugated dienes (CDs) in isolated LDL.(23) Plasma LDLs were isolated by precipitation buffer (0.064 mol/L of trisodium citrate, pH 5.05, with 5 N HCl, 5,000 IU/L of heparin). The pellet was suspended in 1 ml of 0.1 M Na-phosphate buffer, pH 7.4 and containing 0.9% of NaCl. Lipids were extracted from LDL samples by chloroform: methanol (2:1), dried under nitrogen, redissolved in cyclohexane, and analyzed spectrophotometrically at 234 nm.
Determination of antioxidant enzymes
The analysis of catalase, glutathione peroxidase (GSH-Px) and superoxide dismutase (SOD) in the red blood cell was carried out as previously described.(2) GSH-Px catalyzes the oxidizing reaction of glutathione by the peroxide (tert-butyhydroperoxide). In the downstream reaction, oxidized glutathione is restored to the glutathione again with the existence of glutathione reductase and NADPH. Glutathione peroxidase was analyzed by measuring reduced NADPH concentrations, after the restoration, at 340 nm for 90 s with the UV/VIS spectrophotometer. For the SOD, ethanol and chloroform were added up after the suspension of red blood cell was hemolyzed with distilled water, which was centrifuged at 3,000 rpm for 2 min. Pyrogallol was added up, after incubating the solution on the top that had been divided into several concentrations, it was measured at 320 nm for 180 s by the UV/VIS spectrophotometer.
Statistical analysis
All the data were entered into Microsoft’s Excel database, and the statistical tasks were performed with SPSS-PC+ statistics package (ver. 19.0). Mean and standard error of the mean (SE) was obtained for each item, then the mean difference among the 3 groups was verified by Scheffe after one-way ANOVA, and all the statistical significance was evaluated at the level of α = 0.05. The significance of the mean comparison before and 8 weeks after supplementations of the grape juice was tested by paired t-test. Also, chi-square test was performed against the frequency of smoking habits, existence of alcohol intakes, etc.
Results
General characteristics of the participants
General characteristics of the participants are shown in Table 1. All of the participants in this study were smokers aged 19–59 years, and the average age was 30.7 ± 1.0 years. When compared before and after the 8-week grape juice supplementations, the BMI, WHR, and body fat of the participants were not significantly different. Participants’ smoking habits indicated daily average of 14.2 ± 0.6 cigarettes with pack years (which was calculated on the basis of 1 pack a year) of 9.0 ± 0.9 years. The drinking habits of the participants showed that the percentage of drinkers was 92.6% in all participants and the total alcohol consumption was 61.4 ± 6.6 ml/day. The percentage of participants who regularly exercise was 64.2% and the average exercise time was 23.3 ± 2.4 min/day (Table 1).
Table 1.
Variables | Characteristics of the participants (n = 95) |
||
---|---|---|---|
0 week | 8 weeks | p value | |
Age (years) | 30.7 ± 1.0 | ||
Height (cm) | 174.5 ± 0.5 | ||
Weight (kg) | 73.1 ± 1.0 | 73.4 ± 1.0 | ns |
BMI (kg/m2) | 24.0 ± 0.3 | 24.1 ± 0.3 | ns |
WHR | 0.869 ± 0.004 | 0.871 ± 0.004 | ns |
Body fat (%) | 21.1 ± 0.7 | 21.1 ± 0.7 | ns |
Smoking habits | |||
Cigarettes/day | 14.2 ± 0.6 | ||
Smoking years | 12.1 ± 0.9 | ||
Pack years | 9.0 ± 0.9 | ||
Drinking habits | |||
Drinker n (%) | 88 (92.6%) | ||
Alcohol (ml/day) | 61.4 ± 6.6 | ||
Exercise habits | |||
Regular exercisers, n (%) | 61 (64.2%) | ||
Exercise time (min/day) | 23.3 ± 2.4 |
All values are means ± SE. WHR: waist hip ratio, Pack years = (Cigarettes smoked/day × years smoked)/20, p value by paired t test.
Nutrient intake of the participants
The nutrients intake before grape juice supplementation (0 week), at 4 weeks of supplementation, and at 8 weeks of supplementation was surveyed using the 24-h recall method to find out changes in dietary intakes during 8 week of grape juice participants supplementations, as shown in Table 2. The nutrients intake showed that the participants maintained their usual intake in energy, protein, fat, carbohydrate, calcium, Vitamin C, Vitamin E, Vitamin A, and retinol before and after grape juice supplementation (Table 2). Nutrient contents of 480 ml of grape juices are; 300 kcal, 2 g of protein, 70 g of carbohydrates, 4.5 g of fiber, 25 mg of Vitamin C, 0.5 mg of Vitamin E, 20 µg of folate.
Table 2.
Nutrients | 0 week | 4 weeks | 8 weeks | p value |
---|---|---|---|---|
Energy (kcal) | 1,588.1 ± 68.7 | 1,620.4 ± 51.1 | 1,597.3 ± 62.3 | ns |
Protein (g) | 77.0 ± 8.2 | 65.4 ± 2.6 | 67.2 ± 3.5 | ns |
Fat (g) | 46.9 ± 2.8 | 52.7 ± 3.0 | 54.0 ± 3.6 | ns |
Carbohydrate (g) | 218.0 ± 8.8 | 221.0 ± 7.4 | 207.7 ± 8.1 | ns |
Calcium (mg) | 435.8 ± 28.7 | 406.1 ± 22.9 | 404.6 ± 23.2 | ns |
Vitamin C (mg) | 85.6 ± 9.2 | 63.6 ± 4.0 | 66.9 ± 6.5 | ns |
Vitamin E (mg) | 13.5 ± 0.8 | 13.9 ± 0.8 | 13.1 ± 0.8 | ns |
Vitamin A (µg RE) | 705.9 ± 61.9 | 671.2 ± 44.2 | 721.4 ± 82.1 | ns |
Retinol (mg) | 66.3 ± 7.8 | 96.8 ± 11.9 | 144.7 ± 54.0 | ns |
All values are means ± SE. Values with different letters within a row are significantly different at p<0.05 after Scheffe’s test followed by ANOVA. p value by one-way ANOVA. The total amount of carbohydrate intake described is only from diet. Additional 3 bottles of grape juice added 70 g of carbohydrate which made ~300 g of carbohydrate/day which is still less than the maximum allowed intake of carbohydrate. (The 2010 dietary reference intake of carbohydrate is 55–70% of total calorie intake in adult).
GSTM1 and GSTT1 polymorphism frequency analysis
Among a total of 95 participants, GSTM1-null genotype was found in 56 participants (58.9%) and GSTM1-present genotype in 39 participants (41.1%) (Table 3), and GSTT1-null genotype in 61 participants (64.2%) and GSTT1-present genotype in 34 participants (35.8%). The number of participants who had both GSTM1 and GSTT1 present genotype was 15 (15.8%), who had either one of the genotype was 43 (55.3%), and who had none of the genotype was 37 (38.9%).
Table 3.
GST genotypes | Frequency n (%) |
---|---|
GSTT1 | |
Null | 61 (64.2%) |
Present | 34 (35.8%) |
GSTM1 | |
Null | 56 (58.9%) |
Present | 39 (41.1%) |
Both null | 37 (38.9%) |
Null/present | 43 (45.3%) |
Both present | 15 (15.8%) |
Changes in blood pressure
The changes in blood pressure of the participants after grape juice supplementation showed that the systolic pressure was not changed but the diastolic pressure was decreased in participants when divided according to the GST polymorphism (Table 4). The diastolic pressure was significantly decreased in GSTM1 compared to GSTM1-null genotype. In case of GSTT1, on the other hand, the systolic pressure was significantly increased after grape juice supplementations in GSTT1-null type but the diastolic pressure was significantly decreased. In GSTT1-present type, the diastolic pressure was significantly decreased after grape juice supplementation.
Table 4.
All participant (n = 95) |
GSTM1 genotype |
GSTT1 genotype |
|||
---|---|---|---|---|---|
Present (n = 39) | Null (n = 56) | Present (n = 34) | Null (n = 61) | ||
SBP | |||||
0 week | 123.5 ± 1.3 | 122.6 ± 2.1 | 124.2 ± 1.6 | 125.7 ± 2.4 | 122.3 ± 1.5 |
8 weeks | 125.9 ± 1.4 | 125.1 ± 2.3 | 126.5 ± 1.8 | 124.0 ± 2.2 | 127.0 ± 1.8* |
DBP | |||||
0 week | 80.5 ± 1.0 | 79.4 ± 1.5 | 81.2 ± 1.4 | 81.1 ± 1.7 | 80.1 ± 1.3 |
8 weeks | 76.9 ± 1.0* | 77.6 ± 1.6 | 76.5 ± 1.4* | 76.3 ± 1.6* | 77.3 ± 1.4* |
All values are means ± SE. SBP: systolic blood pressure; DBP: diastolic blood pressure. *Statistical significance at p<0.05 after paired t test.
Changes in human lymphocyte DNA damage
The lymphocyte DNA damage in all participants was significantly decreased in TD, TL, and TM after grape juice supplementations (Table 5). The results of possible changes in lymphocyte DNA damage after 8 weeks of grape juice supplementations depending on GST polymorphism showed that all of TD, TL, and TM were significantly decreased in GSTM1-null genotype, and TD and TM were significantly decreased in GSTM1-present genotype. In case of GSTT1 genotype, all of TD, TL, and TM were significantly decreased in both null genotype and present genotype. From the above results, it was found that the intakes of 8-week grape juice supplementation significantly decreased the DNA damages in smokers.
Table 5.
All participant (n = 95) |
GSTM1 genotype |
GSTT1 genotype |
|||
---|---|---|---|---|---|
Present (n = 39) | Null (n = 56) | Present (n = 34) | Null (n = 61) | ||
Tail DNA (%) | |||||
0 week | 15.5 ± 0.2 | 15.4 ± 0.2 | 15.5 ± 0.3 | 14.9 ± 0.3 | 15.8 ± 0.2 |
8 weeks | 7.8 ± 0.1* | 7.7 ± 0.3* | 7.8 ± 0.2* | 7.7 ± 0.2* | 7.8 ± 0.2* |
Tail length (µm) | |||||
0 week | 100.6 ± 1.4 | 100.9 ± 2.2 | 100.4 ± 1.8 | 101.6 ± 2.0 | 100.0 ± 1.9 |
8 weeks | 92.1 ± 1.4* | 95.0 ± 2.2 | 90.0 ± 1.7* | 91.2 ± 2.0* | 92.6 ± 1.8* |
Tail moment | |||||
0 week | 16.2 ± 0.3 | 16.1 ± 0.4 | 16.2 ± 0.4 | 15.7 ± 0.4 | 16.5 ± 0.4 |
8 weeks | 7.8 ± 0.2* | 8.1 ± 0.4* | 7.6 ± 0.2* | 7.7 ± 0.2* | 7.9 ± 0.3* |
All values are means ± SE. *Statistical significance at p<0.05 after paired t test.
Changes in antioxidant nutrient status and TRAP levels
The antioxidant nutrients status and TRAP levels were not significantly changed after grape juice supplementations in all smokers (Table 6). However, the plasma antioxidant nutrient status depending on GST polymorphism after grape juice supplementation showed that the plasma γ-tocopherol concentration was significantly increased in GSTM1-null genotype after grape juice supplementations as compared to previous supplementations and the glutathione concentration was increased in GSTM1-present genotype. In case of GSTT1 genotype, the plasma vitamin C concentration was significantly increased after grape juice supplementations in GSTT1-present genotype.
Table 6.
All participant (n = 95) |
GSTM1 genotype |
GSTT1 genotype |
|||
---|---|---|---|---|---|
Present (n = 39) | Null (n = 56) | Present (n = 34) | Null (n = 61) | ||
Ascorbic acid (mg/dl) | |||||
0 week | 1.15 ± 0.03 | 1.20 ± 0.05 | 1.11 ± 0.04 | 1.09 ± 0.07 | 1.18 ± 0.04 |
8 weeks | 1.19 ± 0.04 | 1.21 ± 0.05 | 1.18 ± 0.05 | 1.29 ± 0.06* | 1.14 ± 0.05 |
α-tocopherol (µg/dl) | |||||
0 week | 1,888 ± 251 | 1,801 ± 531 | 1,949 ± 217 | 1,677 ± 569 | 2,006 ± 233 |
8 weeks | 1,536 ± 158 | 1,185 ± 227 | 1,781 ± 212 | 1,091 ± 200 | 1,784 ± 214 |
γ-tocopherol (µg/dl) | |||||
0 week | 244.1 ± 21.6 | 257.2 ± 36.4 | 235.0 ± 26.7 | 273.8 ± 38.2 | 227.6 ± 26.1 |
8 weeks | 286.0 ± 22.9 | 264.8 ± 33.5 | 300.8 ± 31.2* | 306.8 ± 40.2 | 274.4 ± 27.9 |
α-carotene (µg/dl) | |||||
0 week | 16.1 ± 1.5 | 15.5 ± 1.5 | 16.5 ± 2.4 | 13.9 ± 1.6 | 17.3 ± 2.2 |
8 weeks | 17.2 ± 2.3 | 20.9 ± 5.1 | 14.6 ± 1.5 | 22.4 ± 6.10 | 14.3 ± 1.1 |
β-carotene (µg/dl) | |||||
0 week | 86.2 ± 5.7 | 90.4 ± 9.1 | 83.3 ± 7.2 | 83.9 ± 9.6 | 87.6 ± 7.1 |
8 weeks | 82.7 ± 7.2 | 99.8 ± 14.7 | 70.8 ± 6.4 | 90.8 ± 16.7 | 78.2 ± 6.4 |
TRAP (mM) | |||||
0 week | 1.497 ± 0.002 | 1.497 ± 0.002 | 1.497 ± 0.002 | 1.498 ± 0.002 | 1.496 ± 0.002 |
8 weeks | 1.496 ± 0.001 | 1.495 ± 0.002 | 1.497 ± 0.002 | 1.496 ± 0.003 | 1.496 ± 0.002 |
Glutathione (µM) | |||||
0 week | 633.2 ± 15.2 | 599.0 ± 16.8 | 657.0 ± 22.6 | 661.3 ± 29.6 | 617.6 ± 16.9 |
8 weeks | 670.5 ± 17.0 | 678.4 ± 22.0* | 665.0 ± 24.7 | 681.1 ± 22.9 | 664.6 ± 23.4 |
All values are means ± SE. TRAP: Total radical-trapping antioxidant potential. *Statistical significance at p<0.05 after paired t test.
Changes in erythrocyte antioxidant enzyme activities
The activities of erythrocyte antioxidant enzymes such as catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GSH-Px) were not significantly different after grape juice supplementations as compared to the baseline levels. And these results were not different depending on GSTM1 polymorphism (Table 7). However, when the participants were categorized by GSTT1 genotype, the erythrocyte catalase activity was significantly decreased after grape juice supplementations in GSTT1-null genotype.
Table 7.
All participant (n = 95) |
GSTM1 genotype |
GSTT1 genotype |
|||
---|---|---|---|---|---|
Present (n = 39) | Null (n = 56) | Present (n = 34) | Null (n = 61) | ||
Catalase (K/g Hb) | |||||
0 week | 43.6 ± 0.6 | 44.2 ± 0.8 | 43.1 ± 0.9 | 44.5 ± 1.1 | 43.0 ± 0.7 |
8 weeks | 42.5 ± 0.6 | 42.5 ± 1.1 | 42.5 ± 0.8 | 44.3 ± 1.3 | 41.5 ± 0.7* |
SOD (U/g Hb) | |||||
0 week | 1,814 ± 35.1 | 1,797 ± 46.1 | 1,827 ± 50.4 | 1,739 ± 43.8 | 1,856 ± 48.3 |
8 weeks | 1,944 ± 72.4 | 1,948 ± 115.4 | 1,941 ± 93.7 | 1,884 ± 121.6 | 1,977 ± 90.5 |
GSH-Px (U/g Hb) | |||||
0 week | 12.8 ± 1.4 | 12.2 ± 2.2 | 13.3 ± 1.9 | 10.0 ± 1.6 | 14.4 ± 2.0 |
8 weeks | 11.9 ± 1.2 | 11.4 ± 2.0 | 12.3 ± 1.4 | 11.8 ± 1.6 | 12.0 ± 1.6 |
All values are means ± SE. SOD: Superoxide dismutase; GSH-Px: Glutathione peroxidase. *Statistical significance at p<0.05 after paired t test.
Comparison of plasma lipid levels and LDL oxidation
The results of comparing plasma total cholesterol (TC), LDL-C, HDL-C, triglyceride (TG), and conjugated diene (CD) before and after 8 weeks of grape juice supplementation are shown in Table 8. The lipid levels of the participants were not changed after grape juice supplementations. When the participants were grouped based on their GSTM1 genotype, the plasma CD level was significantly decreased after grape juice supplementations in the GSTM1-null genotype, but other plasma TC, LDL-C, HDL-C, and TG levels were not significantly changed after grape juice supplementation. When the participants were divided by GSTT1 genotype, plasma lipids and CD levels were not significantly changed after grape juice supplementations in both the GSTT1-null and present genotype.
Table 8.
All participant (n = 95) |
GSTM1 genotype |
GSTT1 genotype |
|||
---|---|---|---|---|---|
Present (n = 39) | Null (n = 56) | Present (n = 34) | Null (n = 61) | ||
TC (mg/dl) | |||||
0 week | 195.6 ± 4.1 | 189.5 ± 6.1 | 199.8 ± 5.5 | 195.2 ± 7.0 | 195.8 ± 5.2 |
8 weeks | 192.2 ± 3.8 | 191.0 ± 5.7 | 193.0 ± 5.1 | 194.7 ± 6.3 | 190.8 ± 4.8 |
TG (mg/dl) | |||||
0 week | 145.5 ± 4.3 | 149.3 ± 6.6 | 142.9 ± 5.8 | 149.7 ± 8.4 | 143.1 ± 4.9 |
8 weeks | 152.2 ± 5.7 | 156.5 ± 9.7 | 149.4 ± 6.9 | 155.4 ± 11.6 | 150.4 ± 6.0 |
HDL (mg/dl) | |||||
0 week | 75.6 ± 1.6 | 75.3 ± 1.9 | 75.8 ± 2.3 | 76.6 ± 3.0 | 75.0 ± 1.8 |
8 weeks | 73.4 ± 1.4 | 73.8 ± 1.9 | 73.2 ± 1.9 | 73.6 ± 2.6 | 73.3 ± 1.6 |
LDL (mg/dl) | |||||
0 week | 93.0 ± 3.6 | 89.0 ± 5.6 | 95.5 ± 4.8 | 94.2 ± 6.4 | 92.3 ± 4.5 |
8 weeks | 89.8 ± 3.5 | 89.5 ± 5.4 | 90.0 ± 4.7 | 93.8 ± 5.8 | 87.6 ± 4.4 |
CD (µM) | |||||
0 week | 38.8 ± 0.8 | 39.1 ± 1.4 | 38.6 ± 0.9 | 40.5 ± 1.3 | 37.8 ± 1.0 |
8 weeks | 38.3 ± 0.8 | 40.6 ± 1.7 | 36.7 ± 0.8 | 40.3 ± 1.8 | 37.2 ± 0.9 |
All values are means ± SE. CD: conjugated diene.
Discussion
In an intervention study on the administration of antioxidant food or nutrient in participants with high oxidative stress, the changes in blood pressure and antioxidant nutrient status are different depending on GST genetic polymorphisms of the subject. It has been reported that the frequency of GST genetic polymorphisms varies in different races and in case of Koreans, the number of people with GSTM1 and GSTT1 null type is higher than those with present type, and the antioxidant status in GSTM1 null type is lower compared to GSTM1 present type.(10,12,24) Meanwhile, the intake of grape juices has been reported not only to decrease blood pressure but also to reduce DNA damages, and further contribute to the improvements of antioxidant nutrient status.(2,15,16,25,26) Thus, this study was conducted to find out whether the improvement in blood pressure and antioxidant nutrient status is greater in GSTM1 and GSTT1 null type after grape juice supplementation, which was assumed to demonstrate blood pressure-reducing effect and antioxidant effect in smokers. Comparing the effect of grape juice with placebo was already proven and published elsewhere.(15,16,25)
In the study, blood pressure changes in the participants showed that the diastolic pressure was decreased in all participants after 8 weeks of grape juice supplementation, and for GST polymorphisms, the diastolic pressure was decreased in GSTM1-null genotype, and GSTT1-null and GSTT1-present genotype (Table 4). This was similar to the results in the study by Park et al.(15) showing that the systolic pressure was significantly decreased after grape juice supplementations in men with hypertension and in the studies by Park et al.(25) and by Kim et al.(16) showing that the diastolic pressure was decreased after 8 weeks of grape juice supplementation in adult males with hypertension and 67 adult males and females, respectively. Similarly, several studies have reported decreased blood pressure after grape juice supplementations in adult smokers or patients with hypertension. But studies on the possibility of blood pressure reducing effects can vary as GST genetic polymorphisms are seldom found. It is thought that the reason for significantly higher blood pressure reducing effects in GSTM1-null genotype compared to GSTM1-present genotype in this study was partially from the lower antioxidant nutrients status of GSTM1-null type as compared to GSTM1-present type as previously suggested by Jo et al.(10) It can be also interpreted that the nutritional intervention effect of grape juice supplementations was more useful in GSTM1-null genotype. When looking at the result of diastolic blood pressure decrease with a systolic blood pressure increase after grape juice supplementations in GSTT1-null genotypes, this should be confirmed in the future through careful repetitive studies even if the increment range was in the normal level and may not indicate significance.
The degree of lymphocyte DNA damage was examined using Comet assay in this study and the results showed that the DNA damage was significantly decreased after grape juice supplementations for all smokers, and DNA damages depending on GST polymorphisms were all observed in GSTM1-null and GSTM1-present genotype, and GSTT1-null and GSTT1-present genotype. This result was consistent with those by Park et al.(2) showing that DNA damages were decreased after 8 weeks of grape juice supplementations for adult smokers, and by a preliminary study in which DNA adduct and 8-OHdG were significantly decreased in participants with GSTM1-null type after 3 months of fermented papaya supplementation in males and females aged 72–84 years.(8) On the contrary, Hakim et al.(14) reported that the urinary 8-OHdG excretion was decreased in participants with GSTM1 and GSTT1 present genotype after 4 months of green tea supplementations for 143 adult male smokers, and the beneficial effects of green tea was rather observed in GSTM1- and GSTT1-present genotype, which had conflicting results to ours.
In this study, the antioxidant vitamin status in all participants was not changed after 8 weeks of grape juice supplementations, but when the participants were divided by GST genotype, the plasma γ-tocopherol concentration was increased in GSTM1-null genotype and the plasma vitamin C concentration was significantly increased in GSTT1-present genotype (Table 6). Previous studies on different plasma vitamin C levels depending on GST genotype have reported conflicting results. While Block et al.(27) and Dusinska et al.(28) reported that the vitamin C concentration was higher in GSTM1-null type compared to the present type, Horska et al.(29) observed that the plasma vitamin C level was low in GSTM1-, GSTT1-null genotype, and some study results shows that the blood vitamin C level was not related to the GST genotype.(10,30) In our study, the plasma γ-tocopherol concentration was increased in GSTM1-null genotype and the plasma vitamin C concentration was increased in GSTT1-present type, suggesting that the antioxidant intervention effects of grape juice was partially greater in the null genotype as compared to GSTM1-wild genotype and the present genotype as compared to GSTT1-null type, thus, should be studied more carefully in the future.
Glutathione (GSH) is the most abundant thiol antioxidant in the mammalian cells. GSH-Px and GST joins with GSH and GSH-reductase to prevent the productions of the harmful hydroxyl radicals and also the H2O2 and alkyl hydroperoxidase. Therefore, the reduction of GSH decreases the activity of GST in addition to GSH-Px,(31) and the GSH levels in patients with ankylosing spondylitis was lower when compared to normal individuals.(32) The GSH concentration was measured for all participants in this study and was not changed significantly after grape juice supplementations, but, the GST polymorphisms may increase the GSTM1-present genotype. It is thought that increased GSH in GSTM1-present genotype was caused by the binding of glutathione S-transferase with GSH, and thus, increased GST genes in GSTM1-present genotype.
Antioxidant enzymes such as catalase, superoxide dismutase (SOD), glutathione peroxidase (GSH-Px) form the primary defense system against oxidative damages, and are activated when the organisms with such enzymes are exposed to oxidative stresses.(33) In this study, the activity of antioxidant enzymes was changed in all participants after grape juice supplementations, but the erythrocyte catalase activity was significantly decreased in participants with GSTT1-null genotype (Table 7). Park et al.(2) reported that the activity of erythrocyte catalase and GSH-Px significantly increased in both male smokers and nonsmokers after 8 weeks of grape juice supplementations which conflicted with our results. The study on the relationship between the intakes of fruits and vegetables and GST genes in 190 male and female adults indicated that the erythrocyte GST activity was lower in GSTM1-null genotype due to low intakes of fruits and vegetables.(34) Therefore, investigators have reported different results on the activity of antioxidant enzymes, because antioxidant enzymes and antioxidant nutrients are under a homeostatic control in which the activity is decreased after being greatly used to overcome oxidative stress or increased to alleviate the oxidative stress.(35) In conclusion, it is hard to simply determine the nutritional intervention effects only by the increase or decrease of antioxidant enzymes. Also in this study, although the erythrocyte catalase activity was decreased after grape juice supplementations in GSTT1-null genotype, it is difficult to relate this result to the antioxidant system for interpretations.
The lipid profiles of the participants measured in this study were not significantly different, and the difference by GSTM1 and GSTT1 polymorphisms was not observed either. But in case of GSTM1-null genotype, CD level, which shows the degree of LDL peroxidation, was significantly decreased. While a high level of CD in participants with GSTM1-null genotype was reported,(36) some studies showed no differences in plasma CD levels depending on GSTM1 and GSTT1 genotype.(10) In this study, the plasma CD level in all participants was not different after grape juice supplementation but, on the other hand, it was decreased in participants with GSTM1-null genotype, suggesting that the antioxidant effects of grape juices will be more effective in GSTM1-null type. It is necessary to perform more extensive studies in the future to find out the differences in the antioxidant nutrition intervention effects depending on GST genetic polymorphisms.
The limitation of this study was due to an insufficient number of participants whom observed the relationship between changes of the antioxidant nutrient status and GST genetic polymorphisms after grape juice supplementations. Since there are not many antioxidant-related nutrition intervention studies that analyze its effects depending on GSTM1 and GSTT1 genotype, it is necessary to perform studies on the possibility of changes in the nutritional interventions for antioxidant nutrients or antioxidant foods depending on GST genetic polymorphisms more extensively in the future.
In conclusion, the 8-week grape juice supplementations in adult male smokers demonstrated effects in reducing diastolic blood pressure and in protecting DNAs damaged by smoking for all participants; these effects were varied in detail when the participants were further divided by GST genetic polymorphisms. That is, in case of GSTM1, the beneficial antioxidant effect of grape juice was greater in GSTM1-null type as compared to GSTM1-present type; in case of GSTT1, on the other hand, the antioxidant effect of grape juices was partially greater in GSTT1-wild type as compared to GSTT1-null type, on the contrary to GSTM1.
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2009-0069893) and the Research Funds from Hannam University in 2014. The authors sincerely appreciated the Nongshim Co. for the supply of purple grape juice (Welch’s company, USA) used to conduct this study.
Conflict of Interest
No potential conflicts of interest were disclosed.
References
- 1.Pryor WA, Stone K. Oxidants in cigarette smoke. Radicals, hydrogen peroxide, peroxynitrate, and peroxynitrite. Ann NY Acad Sci. 1993;686:12–28. doi: 10.1111/j.1749-6632.1993.tb39148.x. [DOI] [PubMed] [Google Scholar]
- 2.Park EJ, Kim JS, Jeon EJ, Kim HY, Park YK, Kang MH. The effects of purple grape juice supplementation on improvement of antioxidant status and lymphocyte DNA damage in Korean smokers. Korean J Nutr. 2004;37:281–290. [Google Scholar]
- 3.Mezzetti A, Lapenna D, Pierdomenico SD, et al. Vitamins E, C and lipid peroxidation in plasma and arterial tissue of smokers and non-smokers. Atherosclerosis. 1995;112:91–99. doi: 10.1016/0021-9150(94)05403-6. [DOI] [PubMed] [Google Scholar]
- 4.Rollinson S, Roddam P, Kane E, et al. Polymorphic variation within the glutathione S-transferase genes and risk of adult acute leukaemia. Carcinogenesis. 2000;21:43–47. doi: 10.1093/carcin/21.1.43. [DOI] [PubMed] [Google Scholar]
- 5.Sinha R, Caporaso N. Diet, genetic susceptibility and human cancer etiology. J Nutr. 1999;129:556S–559S. doi: 10.1093/jn/129.2.556S. [DOI] [PubMed] [Google Scholar]
- 6.Hoffmann H, Isner C, Högel J, Speit G. Genetic polymorphisms and the effect of cigarette smoking in the comet assay. Mutagenesis. 2005;20:359–364. doi: 10.1093/mutage/gei049. [DOI] [PubMed] [Google Scholar]
- 7.Bell DA, Taylor JA, Paulson DF, Robertson CN, Mohler JL, Lucier GW. Genetic risk and carcinogen exposure: a common inherited defect of the carcinogen-metabolism gene glutathione S-transferase M1 (GSTM1) that increases susceptibility to bladder cancer. J Nutl Cancer Inst. 1993;85:1159–1164. doi: 10.1093/jnci/85.14.1159. [DOI] [PubMed] [Google Scholar]
- 8.Marotta F, Weksler M, Naito Y, Yoshida C, Yoshioka M, Marandola P. Nutraceutical supplementation: effect of a fermented papaya preparation on redox status and DNA damage in healthy elderly individuals and relationship with GSTM1 genotype: a randomized, placebo-controlled, cross-over study. Ann NY Acad Sci. 2006;1067:400–407. doi: 10.1196/annals.1354.057. [DOI] [PubMed] [Google Scholar]
- 9.Yeh CC, Hsieh LL, Tang R, Chang-Chieh CR, Sung FC. Vegetable/fruit, smoking, glutathione S-transferase polymorphisms and risk for colorectal cancer in Taiwan. World Gastroenterol. 2005;11:1473–1480. doi: 10.3748/wjg.v11.i10.1473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jo HR, Lee HJ, Kang MH. Antioxidative status, DNA damage and lipid profiles in Korean young adults by glutathione S-transferase polymorphisms. Korean J Nutr. 2011;44:16–28. [Google Scholar]
- 11.Kim SJ, Kim MG, Kim KS, Song JS, Yim SV, Chung JH. Impact of glutathione S-transferase M1 and T1 gene polymorphisms on the smoking-related coronary artery disease. J Korean Med Sci. 2008;23:365–372. doi: 10.3346/jkms.2008.23.3.365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Han JH, Lee HJ, Kang MH. Lymphocyte DNA damage and anti-oxidative parameters are affected by the glutathione S-transferase (GST) M1 and T1 polymorphism and smoking status in Korean young adults. Korean J Nutr. 2011;44:366–377. [Google Scholar]
- 13.Palli D, Masala G, Peluso M, et al. The effect of diet on DNA bulky adducts levels are strongly modified by GSTM1 genotype: a study on 634 subjects. Carcinogenesis. 2004;25:577–584. doi: 10.1093/carcin/bgh033. [DOI] [PubMed] [Google Scholar]
- 14.Hakim IA, Harris RB, Chow HH, Dean M, Brown S, Ali IU. Effect of a 4-month tea intervention on oxidative DNA damage among heavy smokers: role of glutathione S-transferase genotypes. Cancer Epidemiol Biomarkers Prev. 2004;13:242–249. doi: 10.1158/1055-9965.epi-03-0193. [DOI] [PubMed] [Google Scholar]
- 15.Park YK, Kim JS, Kang MH. Concord grape juice supplementation reduces blood pressure in Korean hypertensive men: double-blind, placebo controlled intervention trial. Biofactors. 2004;22:145–147. doi: 10.1002/biof.5520220128. [DOI] [PubMed] [Google Scholar]
- 16.Kim JS, Kim HY, Park YK, Park E, Kang MH. The effects of purple grape juice supplementation on blood pressure, plasma lipid profile and free radical levels in Korean smokers. Korean J Nutr. 2004;37:455–463. [Google Scholar]
- 17.The Korean Nutrition Society . Recommended dietary allowances for Koreans. Seoul: Korean Nutrition Society; 2010. [Google Scholar]
- 18.Singh NP, McCoy MT, Tice RR, Schneider EL. A simple technique for quantitation of low levels of DNA damage in individual cells. Exp Cell Res. 1988;175:184–191. doi: 10.1016/0014-4827(88)90265-0. [DOI] [PubMed] [Google Scholar]
- 19.Genser D, Kang MH, Vogelsang H, Elmadfa I. Status of lipidsoluble antioxidants and TRAP in patients with Crohn’s disease and healthy controls. Eur J Clin Nutr. 1999;53:675–679. doi: 10.1038/sj.ejcn.1600764. [DOI] [PubMed] [Google Scholar]
- 20.Rice-Evans C, Miller N. Total antioxidant status in plasma and body fluids. Methods Enzymol. 1994;234:279–293. doi: 10.1016/0076-6879(94)34095-1. [DOI] [PubMed] [Google Scholar]
- 21.Lindenmaier H, Becker M, Haefeli WE, Weiss J. Interaction of progestins with the human multidrug resistance-associated protein 2 (MRP2) Drug Metab Dispos. 2005;33:1576–1579. doi: 10.1124/dmd.105.005314. [DOI] [PubMed] [Google Scholar]
- 22.Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502. [PubMed] [Google Scholar]
- 23.Kim JS, Park E, Min HS, Kang MH. Relationships of plasma homocysteine concentration and oxidative stress markers in Korean collage students. Korean J Nutr. 2010;43:443–452. [Google Scholar]
- 24.Cho HJ, Lee SY, Ki CS, Kim JW. GSTM1, GSTT1 and GSTP1 polymorphisms in the Korean population. J Korean Med Sci. 2005;20:1089–1092. doi: 10.3346/jkms.2005.20.6.1089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Park YK, Lee SH, Park E, Kim JS, Kang MH. Changes in antioxidant status, blood pressure, and lymphocyte DNA damage from grape juice supplementation. Ann NY Acad Sci. 2009;1171:385–390. doi: 10.1111/j.1749-6632.2009.04907.x. [DOI] [PubMed] [Google Scholar]
- 26.Shanmuganayagam D, Warner TF, Krueger CG, Reed JD, Folts JD. Concord grape juice attenuates platelet aggregation, serum cholesterol and development of atheroma in hypercholesterolemic rabbits. Atherosclerosis. 2007;190:135–142. doi: 10.1016/j.atherosclerosis.2006.03.017. [DOI] [PubMed] [Google Scholar]
- 27.Block G, Shaikh N, Jensen CD, Volberg V, Holland N. Serum vitamin C and other biomarkers differ by genotype of phase 2 enzyme genes GSTM1 and GSTT1. Am J Clin Nutr. 2011;94:929–937. doi: 10.3945/ajcn.111.011460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Dusinská M, Ficek A, Horská A, et al. Glutathione S-transferase polymorphism influence the level of oxidative DNA damage and antioxidant protection in humans. Mutat Res. 2001;482:47–55. doi: 10.1016/s0027-5107(01)00209-3. [DOI] [PubMed] [Google Scholar]
- 29.Horska A, Mislanova C, Bonassi S, Ceppi M, Volkovova K, Dusinska M. Vitamin C levels in blood are influenced by polymorphisms in glutathione S-transferases. Eur J Nutr. 2011;50:437–446. doi: 10.1007/s00394-010-0147-2. [DOI] [PubMed] [Google Scholar]
- 30.Cahill LE, Fontaine-Bisson B. El-Sohemy A. Functional genetic variants of glutathione S-transferase protect against serum ascorbic acid deficiency. Am J Clin Nutr. 2009;90:1411–1417. doi: 10.3945/ajcn.2009.28327. [DOI] [PubMed] [Google Scholar]
- 31.Ghosh J, Das J, Manna P, Sil PC. Acetaminophen induced renal injury via oxidative stress and TNF-alpha production: therapeutic potential of arjunolic acid. Toxicology. 2010;268:8–18. doi: 10.1016/j.tox.2009.11.011. [DOI] [PubMed] [Google Scholar]
- 32.Naziroğlu M, Akkuş S, Celik H. Levels of lipid peroxidation and antioxidant vitamins in plasma and erythrocytes of patients with ankylosing spondylitis. Clin Biochem. 2011;44:1412–1415. doi: 10.1016/j.clinbiochem.2011.09.005. [DOI] [PubMed] [Google Scholar]
- 33.Diplock AT. Antioxidants and disease prevention. Mol Aspects Med. 1994;15:293–376. doi: 10.1016/0098-2997(94)90005-1. [DOI] [PubMed] [Google Scholar]
- 34.Yuan LH, Meng LP, Ma WW, et al. The role of glutathione S-transferase M1 and T1 gene polymorphisms and fruit and vegetable consumption in antioxidant parameters in healthy subjects. Br J Nutr. 2012;107:928–933. doi: 10.1017/S0007114511003746. [DOI] [PubMed] [Google Scholar]
- 35.Kang MH, Yun JS. The effects of exercise and other relating factors on the activity of erythrocyte antioxidant enzymes and plasma TRAP levels in male college students. Korean J Nutr. 2002;35:30–36. [Google Scholar]
- 36.Lee SH, Park E, Park YK. Glutathione S-transferase M1 and T1 polymorphisms and susceptibility to oxidative damage in healthy Korean smokers. Ann Nutr Metab. 2010;56:52–58. doi: 10.1159/000268018. [DOI] [PubMed] [Google Scholar]