Abstract
Chemoprevention by isothiocyanates from cruciferous vegetables occurs partly through up-regulation of phase-II conjugating enzymes, such as UDP-glucuronosyl-transferases (UGT). UGT1A1 glucuronidates bilirubin, estrogens, and several dietary carcinogens. The UGT1A1*28 polymorphism reduces transcription compared to the wild-type, resulting in decreased enzyme activity. Isothiocyanates are metabolized by glutathione-S-transferases (GST); variants may alter isothiocyanate clearance, such that response to crucifers may vary by genotype. We evaluated, in a randomized, controlled, cross-over feeding trial in humans (n=70), 3 test diets, (single- and double-“dose” cruciferous and cruciferous plus apiaceous) compared to a fruit-and-vegetable-free basal diet. We measured serum bilirubin concentrations on days 0, 7, 11 and 14 of each 2-week feeding period to monitor UGT1A1 activity, and determined effects of UGT1A1*28 and GSTM1/GSTT1-null variants on response. Aggregate bilirubin response to all vegetable-containing diets was statistically significantly lower compared to the basal diet (p<0.03 for all). Within each UGT1A1 genotype, lower bilirubin concentrations were seen in: *1/*1 in both single and double-dose cruciferous diets compared to basal (p<0.03 for both); *1/*28 in double-dose cruciferous and cruciferous plus apiaceous compared to basal, and cruciferous plus apiaceous compared to single-dose cruciferous (p<0.02 for all); and *28/*28 in all vegetable-containing diets compared to basal (p<0.02 for all). Evaluation of the effects of diet stratified by GST genotype revealed some statistically significant genotypic differences however, the magnitude was similar and not statistically significant between genotypes. These results may have implications for altering carcinogen metabolism through dietary intervention, particularly among UGT1A1*28/*28 individuals.
Keywords: Isothiocyanates, cruciferous vegetables, UDP-glucuronosyl-transferase (UGT)1A1, bilirubin, glutathione S-transferase (GST), apiaceous vegetables, sulforaphane
Introduction
Consumption of cruciferous vegetables (from the Brassicaceae plant family) is associated with a reduced risk of several cancers, particularly cancers of the stomach and lung (1–4). Cruciferous vegetables contain high amounts of sulfur-containing compounds called glucosinolates (5) which, upon hydrolysis by the enzyme myrosinase, results in the formation of biologically active compounds such as indoles and isothiocyanates. These compounds are hypothesized to play a role in chemoprevention, in part, through regulation of phase II conjugating enzymes, including UDP-glucuronosyl transferase (UGT) (3, 6–11).
UGT are a superfamily of enzymes that catalyze the transfer of the glucuronyl group from uridine 5’-disphosphoglucuronic acid to endogenous molecules, as well as exogenous compounds, including therapeutic drugs and dietary carcinogens, to produce less toxic, more polar molecules that are more easily excreted (12). UGT1A1, one of nine enzymes in the UGT1A family, conjugates bilirubin and estrogens (17β-estradiol and estriol), as well as heterocyclic amines and polycyclic aromatic hydrocarbons (13). UGT1A1 is also the only UGT that preferentially conjugates bilirubin (14).
Polymorphisms in the upstream promoter region of UGT1A1, characterized by variation in the number of thymine-adenine (TA) repeats, alter UGT1A1 transcriptional activity (14, 15). Compared to 6 TA repeats (UGT1A1*1) found in the wild-type allele, the presence of 7 (UGT1A1*28) TA repeats has been shown to down-regulate transcription and is the genetic basis for mild unconjugated hyperbilirubinemia associated with reduced hepatic UGT conjugation of bilirubin (i.e. Gilbert syndrome) (16).
Glutathione S-transferases (GST) are also involved in the detoxification of a broad range of electrophiles by conjugation with glutathione (17). Isothiocyanates in cruciferous vegetables are substrates for GST, particularly GSTM1 (18). Null genotypes for GSTM1 and GSTT1 result in the absence of the respective enzymes; thus, among GSTM1-null and GSTT1-null individuals, isothiocyanates have been hypothesized to be metabolized more slowly, leading to greater accumulation of isothiocyanates at the tissue level and, therefore, possibly a greater chemoprotective effect (19).
Previously, in an observational study, we found a positive association between intake of Cruciferae and UGT1A1 activity among individuals with the *28/*28 variant, but not *1/*28 or *1/*1 genotypes (12). In a subsequent controlled feeding study, a mixed diet of crucifers, soy and citrus (all sources of UGT inducers (7, 8, 20–24)) compared to a fruit and vegetable-free diet resulted in increased UGT1A1 activity, but only in women with the *28/*28 genotype (25). Our objectives in the present human feeding trial were to examine the effects of cruciferous vegetables specifically, on conjugation of bilirubin, as a measure of UGT1A1 activity, and to compare two different amounts to determine if response was dose-dependent. In addition, we investigated whether GSTM1-null and GSTT1-null variants or the UGT1A1*28 polymorphism affect this response. A secondary aim of the study was to evaluate whether the addition of apiaceous vegetables to cruciferous feeding further alters this response.
Methods
Research Design
The project activities were conducted in the context of an existing study, “Enzyme Activation Trial 2” (2EAT), and carried out at Fred Hutchinson Cancer Research Center, Seattle (FHCRC), Washington. The overall goal of the parent study was to evaluate the effect of plant foods from the Brassicaceae and Apiaceae families on activities of Phase I, (specifically CYP1A2) and Phase II, (specifically GST) conjugating enzymes, and the impact of genetic polymorphisms in biotransformation enzymes on the response to diet. The focus of the work presented here builds on our previous findings of alterations in bilirubin concentrations (used as a surrogate measure of UGT1A1 enzyme activity) in response to cruciferous vegetable feeding and UGT1A1 genotype (12, 25). Recruitment, enrollment, feeding, sample collection, and laboratory analysis for this project took place from March, 2003 to July 2007. The 2EAT study was a randomized, controlled, crossover feeding trial of four diets – basal (devoid of fruit and vegetables), two doses of cruciferous vegetables, and cruciferous plus apiaceous (carrot family) vegetables. Participants were blocked on GSTM1/GSTT1 genotype-by-sex and assigned to the four controlled diets in a computer-generated random sequence.
Study Participants
Participants were healthy, non-smokers, aged 20–40 years, and were recruited on the basis of sex and CYP1A2, GSTM1, and GSTT1 genotypes. Methods of recruitment included paid advertisements in campus newspapers and flyers posted on university campuses in Seattle, informational web site, and four targeted, bulk mailings using lists obtained from the State of Washington, Department of Licensing. Screening was conducted in two phases. In the first phase, prospective participants were screened for eligibility using a self-administered questionnaire and were excluded if they reported any of the following: medical history of gastrointestinal, hepatic, or renal disorders; pregnancy or lactation; known allergies/intolerances to any foods used in the feeding trial; weight change greater than 4.5 kg within the past year; major changes in eating habits within the past year (e.g. adoption of a faddish diet); antibiotic use within the past 3 months; body weight greater than 150% of desirable; exercise patterns that require or result in major changes in diet; current use of prescription medication (including oral contraceptives); current use of over-the-counter medications; regular exposure to passive smoke; occupational exposure to smoke or organic solvents; food dislikes that would preclude participation in the feeding trial; alcohol intake of > 2 drinks/day (2 drinks being equivalent to 720 mL beer, 240 mL wine, or 90 mL spirits); no interest in participating in a controlled feeding trial.
In the second screening phase, eligible individuals were selected according to the genotypes of interest. The goal of the parent study was to recruit 72 participants according to three groups of GST genotypes (GSTM1+/GSTT1+, GSTM1-null/GSTT1+, and GSTM1-null/GSTT1-null), and three CYP1A2(C734 A) genotypes (C/C, C/A, and A/A), with a ratio of 2:2:1 and an equal number of men and women in each group. The CYP1A2(C734 A) genotypes were of interest in relation to other objectives, which were to investigate the genotypic effect on induction or inhibition of CYP1A2 activity in response to vegetable supplementation. These findings will be reported elsewhere. In all, we randomized 72 individuals: (14 GSTM1+/GSTT1+ men, 12 GSTM1+/GSTT1+ women, 16 GSTM1-null/GSTT1+ men, 14 GSTM1-null/GSTT1+ women, 5 GSTM1-null/GSTT1-null men, and 9 GSTM1-null/ GSTT1-null women, and 2 GSTM1+/GSTT1-null women). The two women with the GSTM1+/GSTT1-null genotypes were recruited for their CYP1A2 genotype, and were not included in this analysis. Twelve participants dropped out of the study, four after the first feeding period, five after the second, and three after the third. Data for all completed diet periods were included in the analysis, even if the participants did not complete all four diet periods. Reasons for dropping out included work schedules that prevented travel to the Center, intolerance of study foods, illness, and a move out of the area. As these individuals dropped out, new recruits were selected and randomized into the appropriate treatment orders to maintain the blocks. The Institutional Review Board at the Fred Hutchinson Cancer Research Center approved the study activities and informed written consent was obtained from all participants prior to the start of the study.
Study Diets
We measured usual dietary intake using 3-day records in order to assess habitual dietary intake at baseline and to determine energy needs. Nutrient data were collected by the staff of the Nutrition Assessment Shared Resource (NASR) of FHCRC, using collection tools developed by NASR. Nutrient calculations were performed using the Nutrient Data System for Research (NDSR) software version 4.05-33, developed by the Nutrition Coordinating Center, University of Minnesota, Minneapolis, MN, Food and Nutrient Database. As part of the intervention, participants consumed four different controlled diets: (i) a basal diet devoid of fruit and vegetables; (ii) the basal diet supplemented with a prescribed amount of cruciferous vegetables (single-dose cruciferous diet); (iii) the basal diet supplemented with twice this amount of cruciferous vegetables (double-dose cruciferous diet); (iv) and the basal diet supplemented with cruciferous and apiaceous vegetables (single-dose cruciferous plus apiaceous vegetable diet) (TABLE 1). For a 70 kg individual, the amount of vegetables provided was equivalent to approximately 5 servings a day for the single-dose cruciferous diet and 10 servings for the double-dose cruciferous diet, and 7 for the cruciferous plus apiaceous diet, although the exact amounts were based on a per-kg-body-weight basis. The single-dose of cruciferous vegetables was approximately 7 g/kg body weight, the double dose was approximately 14 g/kg and the mixed diet included 7 g/kg of crucifers plus 4 g/kg apiaceous vegetables. Diets were first standardized according to servings for a 70 kg individual, determining g food/kg body weight for each plant food item. Vegetable amounts were then increased or decreased to the nearest 5 kg increment in body weight for individuals who weighed more or less than 70 kg. We provided mixtures of vegetables within the botanical families rather than a single vegetable representing the family in order to better capture real-life exposure to a variety of vegetables. Each of the four diet periods lasted 14 days with a 21-day washout period between diet periods. These feeding period lengths were chosen based on our previous study that showed serum GST-α protein concentrations were still increasing from day 6 to day 7 in response to cruciferous vegetable supplementation (26), despite reports that biotransformation enzymes are rapidly induced (27).
TABLE 1.
Dietary Constituents | g/70 kg BW | g/5kg BW‡ |
---|---|---|
Single-dose Cruciferous Diet | ||
Frozen broccoli* | 203 | 15 |
Frozen cauliflower* | 152 | 11 |
Fresh red cabbage† | 36 | 3 |
Fresh green cabbage† | 36 | 3 |
Fresh radish sprouts§ | 16 | 1 |
Double-dose Cruciferous Diet | ||
Frozen broccoli | 406 | 29 |
Frozen cauliflower | 305 | 22 |
Fresh red cabbage | 71 | 5 |
Fresh green cabbage | 71 | 5 |
Fresh radish sprouts | 32 | 2 |
Cruciferous + Apiaceous Diet | ||
Frozen broccoli | 203 | 15 |
Frozen cauliflower | 152 | 11 |
Fresh red cabbage | 36 | 3 |
Fresh green cabbage | 36 | 3 |
Fresh radish sprouts | 16 | 1 |
Frozen carrots* | 111 | 8 |
Fresh parsnips† | 102 | 8 |
Fresh celery† | 50 | 4 |
Fresh parsley† | 5 | 0.4 |
Fresh dill weed† | 0.7 | 0.05 |
Vegetable amounts were increased or decreased to the nearest 5 kg increment in BW for individuals who weighed more or less than 70 kg. These foods supplemented a basal diet that was otherwise devoid of fruits and vegetables.
Norpac foods, Lake Oswego, OR
Food Service of America, Seattle, WA
Uwajimaya’s, Seattle, WA
Participants were instructed to consume only the food and beverages provided for them during the diet periods and were requested not to take any type of medication, alcoholic beverages, or nutritional supplements and to maintain their usual physical activity during each feeding period. Dinner was served at the FHCRC Human Nutrition Lab dining room Sunday through Friday evening, and food for the following day’s morning, midday meal, and snacks was distributed at that time. On Friday evening, participants picked up food for all of Saturday and for Sunday daytime meals. The major portion of the test vegetables was provided as part of the dinner, under the supervision of the study staff. Any food not consumed was noted on the participant’s chart. Compliance with the study diet was also monitored using daily food check-off forms with space provided so that participants could record any deviations from the diet.
Specimen collection
Biological samples were collected prospectively from participants and during each two-week feeding period. Buccal cells, collected prior to randomization, were isolated and DNA extracted for determination of GSTM1 and GSTT1 genotypes and participant eligibility. Prospective participants were asked to collect their buccal cells by vigorously swishing 10 ml of undiluted, commercial mouthwash in their mouth for 60 seconds. They then expelled the solution into a collection container, sealed and returned the sample via US mail to the FHCRC Specimen Processing Laboratory, where DNA was extracted using the QIAamp DNA Blood Midi kit (Qiagen, Valencia, CA).
At day 0, 7, 11 and 14 of each feeding period, blood was drawn in the morning after a 12-hour overnight fast. The multiple draws were selected to allow for monitoring changes in response to diet over the course of each feeding period. Tubes without additive were allowed to clot at room temperature for 30 minutes before they were centrifuged to separate the serum. Serum was aliquotted and stored at −80° C. On day 0 of the first feeding period, blood was also drawn into a tube containing EDTA for collection of white blood cell DNA (buffy coat). On day 13 of each feeding period, participants collected urine for 24 hours. All urine samples were refrigerated at 4° C until delivery in the morning (day 14) to FHCRC. The total volume and pH value were recorded and the sample was aliquotted and stored at −80° C.
GSTM1 and GSTT1 Genotyping
GSTM1 and GSTT1 genotyping was conducted on buccal cell DNA using primers described by Arand, et al. (28). β-globin was co-amplified to ensure that the GSTM1-null and GSTT1-null genotypes were due to the deletion of the GSTM1 or GSTT1 alleles and not to failure of the PCR. Thermal cycling included an initial denaturation at 95°C for 2 min, followed by 35 cycles of 94°C for 1 min, 60°C for 1 min, 72°C for 2 min and 1 cycle of 72°C for 5 min. Individuals homozygous or heterozygous for GSTM1 phenotypes gave a 215-bp PCR fragment; GSTM1-null individuals did not. A 480 bp fragment was detected for individuals who carried at least one GSTT1 allele.
UGT 1A1 Genotyping
The UGT1A1 polymorphism (UGT1A1*28) consists of 7 TA repeats in the promoter region, 6 TA repeats being the wild type (UGT1A1*1). Genotyping of the white blood cell DNA for the UGT1A1 polymorphism was conducted as described previously (29).
Bilirubin Analysis
Serum total and direct (conjugated) bilirubin were measured using a Cobas MIRA Plus centrifugal analyzer (Roche Diagnostic Systems, Somerville, NJ), as described (29). Indirect (unconjugated) bilirubin is calculated by difference (total bilirubin – direct bilirubin). Mean intra- and inter-assay CV variances were, respectively, 2.1 and 3.2% for total bilirubin, and 2.6 and 2.9% for direct bilirubin.
Isothiocyanate excretion
Twenty-four hour urines collected on day 13 were used to measure isothiocyanates for compliance purposes (25). The assay for urinary total isothiocyanates was based on the HPLC-based method developed by Chung et al. (30), and measures dithiocarbamates (isothiocyanates plus glutathione-derived conjugates) as well as the synthesis of phenethyl isothiocyanates-N-acetyl conjugate (PEITC-NAC) used for standard calibrations.
Statistical Analysis
To make distributions more normal, a natural logarithmic transformation was performed on total, direct, and indirect bilirubin concentrations prior to analysis. A linear mixed model including sex, UGT1A1 genotype, feeding periods, diet treatments, feeding order, sampling day and interaction terms as fixed effects and participants as a random effect, and the observations at day 0 and habitual diet were covariates adjusted in the model. Participants were blocked by GST genotype for diet-order randomization. All statistical analyses were performed using the SAS Program (version 8.2; SAS Institute). Data are presented as back-transformed least squares (LS) –means ± LS standard errors, unless otherwise indicated. Two-sided P-value for statistical significance was set at <0.05.
To prevent confounding by body weight between the sexes, the amount of vegetables provided was based on a per-kg-body-weight calculation, and ranged from 284g to 662g for the single-dose cruciferous diet, 568g to 1324g for the double-dose cruciferous diet, and 458g to 1065g for the single-dose plus apiaceous diet. Analyses were conducted both with and without adjusting for vegetable amount; because there were no statistically significant differences between the analyses with and without adjustment, the data are presented without adjustment.
Results
Of the 70 participants in the study, 58 completed all 4 diet periods, 8 completed 2 or more and 4 completed 1. The distribution of UGT1A1 genotypes in the study population was 41% (n=29) and 51% (n=36) for *1/*1 and *1/*28 respectively, and 7% (n=5) for *28/*28. There were no statistically significant differences in the demographic and baseline characteristics of the 70 individuals by UGT1A1 genotype (TABLE 2). As expected, serum total, direct and indirect bilirubin concentrations for participants consuming their habitual diets were statistically significantly higher among those with the UGT1A1*28/*28 genotype (P < 0.02 for all 3 bilirubin measures).
TABLE 2.
UGT1A1 *1/*1 n=29 (41%) |
UGT1A1 *1/*28 n=36 (51%) |
UGT1A1 *28/*28 n=5 (7%) |
P valuea | |
---|---|---|---|---|
Age (yr) | 32 ± 7.16b | 33 ± 5.50 | 31 ± 6.02 | 0.74 |
Height (m) | 1.7 ± 0.11 | 1.7 ± 0.09 | 1.7 ± 0.14 | 0.79 |
Weight (kg) | 71.0 ± 15.96 | 68.4 ± 13.86 | 72.74 ± 12.37 | 0.93 |
BMI (kg/m2) | 20.7 ± 3.8 | 20.1 ± 3.3 | 24.4 ± 2.4 | 0.98 |
Female (%) | 45% (13) | 55% (20) | 60% (3) | 0.64 |
Race (%) | ||||
Caucasian | 48% (14) | 72% (26) | 60% (3) | 0.08 |
Asian | 48% (14) | 17% (6) | 40% (2) | |
Other* | 0.03% (1) | 0.11% (4) | 0 | |
GSTT1/GSTM1 genotype | 0.96 | |||
(+/+) (46% female) | 12 | 12 | 2 | |
(−/+) (50% female) | 11 | 17 | 2 | |
(−/−) (64% female) | 6 | 7 | 1 | |
Serum Bilirubinc (µmol/L) | ||||
Total | 14.02 ± 4.96 | 14.02 ± 4.79 | 25.31 ± 9.75 | 0.01 |
Direct | 1.88 ± 0.68 | 1.88 ± 0.51 | 3.25 ± 1.03 | 0.01 |
Indirect | 12.14 ± 4.45 | 12.14 ± 4.45 | 22.06 ± 8.89 | 0.02 |
Tests for a trend across UGT1A1 genotypes (χ2)
Mean ± SD
When consuming habitual diets
Other includes African Americans and Pacific Islanders
Aggregate (all individuals, irrespective of genotype, and days 7, 11 and 14 combined) LS mean ± LS-SE total bilirubin concentrations for individuals on basal, single-dose cruciferous, double-dose cruciferous and cruciferous plus apiaceous diets were 16.07 ± 1.27, 15.39 ± 1.37, 14.71 ± 1.20 and 14.88 ± 1.20 µmol/L respectively. Response to all 3 vegetable-containing diets differed statistically significantly from the basal diet, with lower mean total bilirubin concentrations associated with consumption of the vegetable test diets (P < 0.02 for all 3), suggesting greater UGT1A1 enzyme activity. Individual diet contrasts showed statistically significantly lower mean bilirubin concentrations on the double-dose cruciferous diet compared to the single-dose cruciferous diet, suggesting a dose-response, (P = 0.03) and a tendency toward lower bilirubin concentrations on the cruciferous plus apiaceous diet compared to the single-dose cruciferous diet (P = 0.08). Response to double-dose cruciferous and cruciferous plus apiaceous diets was similar (P = 0.7). Results for unconjugated bilirubin concentrations paralleled those of total bilirubin; however, the low values for conjugated bilirubin concentrations did not differ by diet (data not shown). The interaction term of diet-by-sex was not statistically significant, and although men tended to have higher total bilirubin concentrations on all diets, this also was not significant (P = 0.75).
UGT1A1*28 Genotype Effects
Overall, total mean bilirubin concentrations differed by UGT1A1 genotype (P = 0.049). Individuals with the *28/*28 variant had approximately 27% overall higher bilirubin concentrations compared to those with *1/*1 (P = 0.02) and 19% higher concentrations compared to those with *1/*28 (P = 0.07). The difference between individuals with *1/*1 and *28/*28 was particularly apparent on the basal and single-dose cruciferous vegetable diets, where overall difference in values were 40% and 27% higher respectively (P < 0.01 for basal and 0.03 for single-dose cruciferous) (TABLE 3). Although this difference was still evident within the double-dose cruciferous (22%) and cruciferous plus apiaceous diets (18%), it was no longer statistically significant (P = 0.07 and 0.15 respectively). The differences between *1/*1 and *1/*28 were smaller and statistically significant only on the single-dose cruciferous diet, with *1/*28 having 10% higher bilirubin concentrations than *1/*1 (P = 0.02).
TABLE 3.
Total Bilirubin (µmol/L) | ||||
---|---|---|---|---|
Basal | Single-dose Cruciferous |
Double-dose Cruciferous |
Cruciferous plus Apiaceous |
|
UGT1A1 *1/*1 (n=29) | ||||
Day 7 | 14.88 ± 1.54*a | 13.85 ± 1.37a | 14.88 ± 1.37a | 15.05 ± 1.37a |
Day 11 | 15.05 ± 1.54a | 14.19 ± 1.37ab | 13.34 ± 1.20b | 14.02 ± 1.37ab |
Day 14 | 15.73 ± 1.54a | 14.36 ± 1.37b | 14.02 ± 1.37b | 14.02 ± 1.37b |
Mean† | 15.22 ± 1.37a | 14.19 ± 1.37b | 14.19 ± 1.20b | 14.36 ± 1.37ab |
UGT1A1 *1/*28 (n=36) | ||||
Day 7 | 16.59 ± 1.54a | 16.59 ± 1.54a | 15.90 ± 1.54a | 15.73 ± 1.54a |
Day 11 | 15.90 ± 1.54a | 15.56 ± 1.54ab | 14.36 ± 1.54bc | 14.19 ± 1.37c |
Day 14 | 15.90 ± 1.54a | 15.56 ± 1.54ab | 15.05 ± 1.37ab | 14.31 ± 1.37b |
Mean | 16.07 ± 1.54a | 15.90 ± 1.54ac | 15.05 ± 1.37bc | 14.71 ± 1.37b |
UGT1A1 *28/*28 (n=5) | ||||
Day 7 | 21.72 ± 3.25a | 19.32 ± 2.91ab | 16.59 ± 2.57b | 18.13 ± 2.74ab |
Day 11 | 20.35 ± 3.08a | 18.81 ± 2.74ab | 17.78 ± 2.74ab | 15.39 ± 2.22b |
Day 14 | 22.06 ± 3.25a | 16.07 ± 2.39b | 17.44 ± 2.74ab | 17.27 ± 2.57b |
Mean | 21.38 ± 2.91a | 17.96 ± 2.39b | 17.27 ± 2.39b | 16.93 ± 2.39b |
LS back-transformed means ± LS SE, adjusted for sex, baseline and day 0 bilirubin concentrations.
Diet means within a row not sharing a common superscript are significantly different as tested by ratio of means; p<0.05
Mean of 3 sampling days (7, 11, and 14)
Response to diet also tended to differ by genotype, although the formal interaction term of diet by UGT genotype on total bilirubin concentrations was not statistically significant (P = 0.13). Within *28/*28 individuals, serum bilirubin concentrations were 16–21% lower on all three vegetable-supplemented diets than on the basal diet (P < 0.02 for all 3). In contrast, within *1/*1 individuals, bilirubin concentrations were only about 7% lower for both single and double-dose cruciferous diets compared to the basal diet (P < 0.03 for both) and there was no effect of the cruciferous plus apiaceous diet compared to basal. Within *1/*28 individuals, bilirubin concentrations were approximately 6% lower for double-dose cruciferous diet (P = 0.02) and 8% lower for the cruciferous plus apiaceous diet (P = 0.002). There was no effect of the single-dose cruciferous diet within *1/*28. When comparing differences in response to diets between groups, *28/*28 individuals responded marginally greater to the single-dose cruciferous diet compared to *1/*28 individuals (P = .049), and statistically significantly greater to the cruciferous plus apiaceous diet (P = 0.03).
GSTM1/GSTT1 Genotype Effects
GST enzymes metabolize isothiocyanates. Because variation in GST activity may influence isothiocyanate exposure, we also tested the effect of GSTM1 and GSTT1 genotypes on response to diet. There was not a statistically significant main effect of the combined GSTM1 and GSTT1 genotypes (P = 0.48) or the interaction of genotype-by-diet (P = 0.54). Although evaluation of the effects of diet stratified by genotype revealed some statistically significant genotypic differences, the magnitude was similar and not statistically significant between genotypes (TABLE 4). For example, individuals who were GSTM1-null/GSTT1+ had about 7% lower bilirubin concentrations on both the single-dose and double-dose cruciferous vegetable diets compared to the basal diet (P < 0.01 for both) and a 10% decrease on the cruciferous plus apiaceous vegetable diet (P < 0.01). GSTM1-null/GSTT1-null individuals had 5% lower bilirubin concentrations on the single-dose cruciferous diet (P = 0.19), a 12% decrease on the double-dose cruciferous diet (P = 0.01) and a 10% decrease on the cruciferous plus apiaceous vegetable diet (P =0.07) compared to the basal diet. GSTM1+/GSTT1+ individuals did not respond to the single-dose cruciferous vegetable diet, but had approximately 7% lower bilirubin concentrations on the double-dose cruciferous and cruciferous plus apiaceous diets (P =0.01 and 0.02, respectively).
TABLE 4.
Total Bilirubin (µmol/L) | ||||
---|---|---|---|---|
Basal | Single-dose Cruciferous | Double-dose Cruciferous | Cruciferous plus Apiaceous | |
GSTM1+/GSTT1+ (n=26) | 15.39 ± 1.37*ac | 15.05 ± 1.37ac | 14.19 ± 1.20b | 14.36 ± 1.20bc |
GSTM1-null/GSTT1+ (n=30) | 15.90 ± 1.54a | 14.88 ± 1.37b | 14.88 ± 1.37b | 14.36 ± 1.37b |
GSTM1-null/GSTT1-null (n=14) | 17.10 ± 1.71a | 16.07 ± 1.54 ab | 14.88 ± 1.54b | 15.56 ± 1.54ab |
Back-transformed LS means ± LS SE, adjusted for sex, diet order, and habitual and day 0 bilirubin concentrations
Means not sharing common superscript within a genotype are significantly different as tested by ratio of means; p<0.05
Twenty-four hour urinary analysis of isothiocyanate metabolite excretion, collected on day 13 was measured for compliance. Mean ± SD total isothiocyanate concentrations for the basal, single-dose cruciferous, double-dose cruciferous and cruciferous plus apiaceous diets were 2.14 ± 2.53, 112.51 ± 63.08, 257.76 ± 172.17, and 105.90 ± 66.26 µmol/24 hours, respectively, indicating a steep, and dose-dependent increase in isothiocyanate excretion over the basal diet period. 93% of the study vegetables were consumed on the single-dose cruciferous vegetable diet, 87% on the double-dose cruciferous diet and 89% on the cruciferous plus apiaceous diet. Based on the daily food check-off forms, participants consumed non-study food items fewer than 3% of the study days.
In order to evaluate the effect of the length of intervention on serum bilirubin, we measured serum bilirubin on days 0, 7, 11, and 14 of each feeding period. There was a statistically significant effect of day of sampling (p<0.001), but the interaction of day-by-diet was not statistically significant (p=0.28). With vegetable supplementation, serum bilirubin concentrations were lower on days 11 and 14 compared to day 7 (p<0.01) but bilirubin concentrations increased slightly from days 11 to 14 (p=0.04).
Because participants were selected in order to enrich for the CYP1A2*1F genotype in the parent study, analyses were carried out to evaluate whether this genotype was associated with changes in bilirubin. The relationship between CYP1A2*1F and bilirubin was not statistically significant (data not shown).
Discussion
In this study, serum bilirubin concentrations decreased in response to all three vegetable-containing diets compared to the fruit- and vegetable-free basal diet, underscoring the capacity of cruciferous vegetable consumption to modulate UGT1A1 enzyme activity in vivo. This response was particularly prominent among individuals with the *28/*28 genotype. Mean total bilirubin concentrations for the single-dose cruciferous diet fell between the values for the basal diet and the double-dose cruciferous vegetable diet, suggesting a dose-response.
Our results support the hypothesis that feeding cruciferous vegetables increases UGT1A1 activity. A variety of dietary components, including isothiocyanates, have been shown to induce UGT activity in general, in animals (21, 31) and humans (32, 33); however, the substrates used to test for UGT activity have not been specific for UGT1A1. Recently, Gasper and colleagues (34) examined the expression of xenobiotic metabolizing enzymes in gastric mucosa in 4 individuals, 6 hours after consumption of a single meal of 100 g of broccoli or high-glucosinolate broccoli. Induction of several metabolizing enzymes was observed with high-glucosinolate broccoli, but not the standard broccoli meal, and UGT was not among the enzymes that were induced. Most in vitro evidence suggests that up-regulation of phase II enzymes by isothiocyanates occurs through interaction of the isothiocyanates with the cytoplasmic-anchoring protein Kelch-like ECH-associated protein 1 (Keap1) and the transcription factor Erythroid-derived 2-like 2 (Nfe2l2, official nomenclature for the more commonly used Nrf2), via the antioxidant response element (ARE) (3, 6–11). UGT1A1 has an ARE (9) as well as a xenobiotics response element (XRE) in the promoter region (35–37). Thus, the indoles in cruciferous vegetables, which induce phase I and II enzymes through binding to the AhR and interacting with the XRE, may also induce UGT1A1 expression. Cruciferous vegetables contain a mixture of isothiocyanates and indoles; thus, it is possible that both contributed to increased UGT1A1 enzyme activity, and lower serum bilirubin in our study.
The combination of single-dose cruciferous and apiaceous vegetables resulted in a reduction in bilirubin concentrations similar to that seen with the double-dose cruciferous vegetable diet. This suggests that constituents in apiaceous vegetables may also increase UGT1A1 activity. Apiaceous vegetables (i.e., carrots, dill, parsley, parsnips, and celery in our study) are rich sources of furanocoumarins (e.g., psoralens, methoxypsoralen) (38). Effects of these specific apiaceous vegetable constituents on UGT1A1 induction have not been evaluated; however, Diawara et al. (39) showed that psoralens induced mRNAs of hepatic enzymes that are typically induced by compounds that interact with the AhR, and subsequently, the XRE (e.g., indoles). In addition to furanocoumarins, some plants in the Apiaceae family contain the flavonoid apigenin. Apigenin has been shown to induce UGT1A1 transcription in vitro (8, 40). These data support our current findings and offer a plausible explanation for our results. Finally, other enhancer element motifs have been identified in UGT1A1, including a PXRE (41). Ruhl, et. al demonstrated PXR-mediated induction activity in PXR-responsive CYP450 genes by β-carotene in HepG2 cells (42). As carrots were included in our apiaceous diet protocol, we cannot rule out the possibility of modulation of UGT1A1 by β-carotene as an additional factor.
The presence of an additional TA repeat in the UGT1A1 promoter region has been shown to reduce transcription of this gene by as much as 50% among homozygous variants (14, 15). In our study, as expected, a statistically significant phenotypic difference was observed between *1/*1 and *28/*28 UGT1A1 genotypes, with *28/*28 individuals having approximately 27% overall higher total bilirubin concentrations than *1/*1 individuals. Moreover, there were differences in diet response among the UGT1A1 genotypes: among *1/*1 and *1/*28 individuals, there was a modest reduction (1–8%) in bilirubin in response to the single-dose and double-dose cruciferous diets, whereas statistically significant decreases in bilirubin concentrations were achieved on both the single-dose and double-dose cruciferous vegetable diets among *28/*28 individuals, and the magnitude of change was much larger (16–21%). These results, along with our previous findings in an observational study and controlled fruit-and-vegetable feeding trial (12, 25), suggest that there may be a greater capacity for up-regulation of UGT1A1 among individuals with the *28/*28 genotype.
In this study, decreases in serum bilirubin were observed in response to cruciferous vegetable feeding in both men and women. In contrast, in our previous controlled feeding trial, which included a mixed diet of crucifers, soy and citrus, the intervention effects on UGT1A1 activity were limited to women within the *28/*28 genotype (25). Several differences between the two studies may contribute to these observations. The dose of crucifers in the previous study was 2.7 g/kg body weight compared to 7 and 14 g/kg provided in the present study. Additionally, we used a mix of foods from several botanical families in the previous study, (i.e., crucifers, citrus, and soy), whereas the focus was on crucifers in the present study. It may be that the higher isothiocyanate doses are needed to elicit an effect in men and in individuals without the *28/*28 genotype, or that the inclusion of other phytochemicals attenuated the response to crucifers.
Given that isothiocyanates are substrates for GST, (18) and also induce UGT and other enzyme systems, we hypothesized that the greatest difference in serum bilirubin concentrations in response to diet would occur in GSTM1-null/GSTT1-null individuals, followed by GSTM1-null/GSTT1+ and GSTM1+/GSTT1+. Compared to GSTM1+/GSTT1+ individuals, GSTM1-null/GSTT1-null individuals had slightly greater decreases in bilirubin with cruciferous vegetable supplementation; but this response was not statistically significant, and slight decreases in bilirubin concentrations were observed in GSTM1-null genotypes, regardless of GSTT1 genotype. Few studies have evaluated the capacity of GST genotype to modulate the effect of cruciferous vegetable intake on biomarkers in intervention trials. We showed previously that the GSTM1-null, compared to GSTM1+ genotype, resulted in greater increases in serum GST-α concentrations in response to a 7-day cruciferous vegetable feeding intervention (26). In both of these studies, the circulating biomarkers measured reflect hepatic enzyme activity. In contrast, Traka, et al., (43) recently reported GSTM1 genotype-related changes in transforming growth factor beta 1 (TGFβ1) and epidermal growth factor (EGF) signaling pathways in prostate tissue after men consumed 400 g broccoli/week for 6 months. GSTM1+ individuals showed greater diet-induced changes in prostate tissue gene expression. In order to further characterize the modifying effects of GST genotypes, future cruciferous vegetable interventions should be designed to include testing of the effects of these genotypes on biologic responses.
A strength of our study is the controlled feeding-study design with the focus on a botanical family of vegetables tested in two different doses. Additional strengths include the two-week duration of each study diet, the blood sampling at three time-points during each feeding period, and dosing based on participant body weight. Overall, total bilirubin concentrations decreased until day 11 and then increased slightly from day 11 to day 14, suggesting that we achieved the maximal reduction in bilirubin with our vegetable treatments. Further, the stringent inclusion criteria minimized potential confounding due to other factors that may influence UGT activity (e.g., age, BMI, and alcohol, tobacco, or medication use.)
A primary limitation of the study is our use of serum bilirubin concentrations as an indirect measure of UGT1A1 activity. The actual change in hepatic enzyme activity in response to vegetable feeding may be greater than what we are able to measure indirectly using circulating bilirubin. Another limitation was that this was an ancillary study. Consequently, the number of individuals with the *28/*28 genotype was small and the study was not statistically powered to examine a priori effects of cruciferous vegetable-consumption on UGT1A1 enzyme activity. Nonetheless, within the context of the parent study, we estimated that we would need a sample size of 5 individuals with the UGT1A1*28 genotype to detect, with 80% power, a 15% difference in total bilirubin concentrations from the basal diet. Although we achieved this sample size, the small number of individuals with the *28/*28 genotype did not allow for formal statistical evaluation of the diet-by-sex-by-genotype interactions. Another potential limitation is generalizability. The average intake of cruciferous vegetables in the U.S. is about 25–30 g per day (2). Although the cruciferous vegetables used in our study, i.e., broccoli, cauliflower, and cabbage are some of the most commonly consumed vegetables in the U.S. diet, they are not usually consumed in the relatively large amounts we gave in this study (e.g., 5–10 servings per day or ~300g – 1300g.) Additionally, while radishes are commonly consumed, radish sprouts, part of our diet protocol, are not.
In summary, cruciferous vegetable supplementation lowered bilirubin concentrations in a dose-dependant manner. Although UGT1A1 activity, as measured by serum bilirubin, was greater in GSTM1-null individuals compared to GSTM1+ individuals, this response was not statistically significant. Differences in bilirubin concentrations occurred with a lower cruciferous dose and to a greater extent within *28/*28 individuals compared to those with one or more *1 allele. Given the reduced transcriptional activity of UGT1A1 in individuals with 7 or more TA repeats (i.e., *28) (16) and the role of this enzyme in the conjugation of estrogens and carcinogens, such as heterocyclic amine metabolites (12, 44), improving glucuronidation may be beneficial in this subset of individuals. Finally, our results in humans agree with the in vitro and experimental animal model data that suggest that constituents of apiaceous vegetables may also modulate UGT1A1.
Acknowledgments
We would like to express our appreciation to Karen Noar, Kara Breymeyer, and their staff in the Human Nutrition lab for their dedicated work. We gratefully acknowledge JoAnn Prunty and Jyh-Lurn Chang for their technical support. This work was supported by US NIH grants R01CA070913 and R01CA92288 and the Fred Hutchinson Cancer Research Center.
Footnotes
This work was supported by US NIH grants R01CA070913 and R01CA92288
References
- 1.Keck AS, Finley JW. Cruciferous vegetables: cancer protective mechanisms of glucosinolate hydrolysis products and selenium. Integr Cancer Ther. 2004;3:5–12. doi: 10.1177/1534735403261831. [DOI] [PubMed] [Google Scholar]
- 2.International Agency for Research on Cancer. Cruciferous Vegetables, Isothiocyanates and Indoles. Lyon France: International Agency for Research on Cancer; 2004. [Google Scholar]
- 3.Talalay P, Fahey JW. Phytochemicals from cruciferous plants protect against cancer by modulating carcinogen metabolism. J Nutr. 2001;131:3027S–3033S. doi: 10.1093/jn/131.11.3027S. [DOI] [PubMed] [Google Scholar]
- 4.Murillo G, Mehta RG. Cruciferous vegetables and cancer prevention. Nutr Cancer. 2001;41:17–28. doi: 10.1080/01635581.2001.9680607. [DOI] [PubMed] [Google Scholar]
- 5.Shapiro TA, Fahey JW, Dinkova-Kostova AT, et al. Safety, tolerance, and metabolism of broccoli sprout glucosinolates and isothiocyanates: a clinical phase I study. Nutr Cancer. 2006;55:53–62. doi: 10.1207/s15327914nc5501_7. [DOI] [PubMed] [Google Scholar]
- 6.Dinkova-Kostova AT, Holtzclaw WD, Kensler TW. The role of Keap1 in cellular protective responses. Chem Res Toxicol. 2005;18:1779–1791. doi: 10.1021/tx050217c. [DOI] [PubMed] [Google Scholar]
- 7.Basten GP, Bao Y, Williamson G. Sulforaphane and its glutathione conjugate but not sulforaphane nitrile induce UDP-glucuronosyl transferase (UGT1A1) and glutathione transferase (GSTA1) in cultured cells. Carcinogenesis. 2002;23:1399–1404. doi: 10.1093/carcin/23.8.1399. [DOI] [PubMed] [Google Scholar]
- 8.Svehlikova V, Wang S, Jakubikova J, Williamson G, Mithen R, Bao Y. Interactions between sulforaphane and apigenin in the induction of UGT1A1 and GSTA1 in CaCo-2 cells. Carcinogenesis. 2004;25:1629–1637. doi: 10.1093/carcin/bgh169. [DOI] [PubMed] [Google Scholar]
- 9.Yueh MF, Tukey RH. Nrf2-Keap1 signaling pathway regulates human UGT1A1 expression in vitro and in transgenic UGT1 mice. J Biol Chem. 2007;282:8749–8758. doi: 10.1074/jbc.M610790200. [DOI] [PubMed] [Google Scholar]
- 10.Bogaards JJP, Verhagen H, Willems MI, van Poppel G, van Bladeren PJ. Consumption of Brussels sprouts results in elevated α-class glutathione S-transferase levels in human blood plasma. Carcinogenesis. 1994;15:1073–1075. doi: 10.1093/carcin/15.5.1073. [DOI] [PubMed] [Google Scholar]
- 11.Zhang Y, Talalay P, Cho CG, Posner GH. A major inducer of anticarcinogenic protective enzymes from broccoli: isolation and elucidation of structure. Proc Natl Acad Sci U S A. 1992;89:2399–2403. doi: 10.1073/pnas.89.6.2399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Peterson S, Bigler J, Horner NK, Potter JD, Lampe JW. Cruciferae interact with the UGT1A1*28 polymorphism to determine serum bilirubin levels in humans. J Nutr. 2005;135:1051–1055. doi: 10.1093/jn/135.5.1051. [DOI] [PubMed] [Google Scholar]
- 13.Senafi SB, Clarke DJ, Burchell B. Investigation of the substrate specificity of a cloned expressed human bilirubin UDP-gluronosyltransferase: UDP-sugar specificity and involvement in steroid and xenobiotic glucuronidation. Biochem J. 1994;303:233–240. doi: 10.1042/bj3030233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bosma P, Chowdhury JR, Bakker C, et al. The genetic basis of the reduced expression of bilirubin UDP-glucuronosyltransferase 1 in Gilbert's syndrome. N Engl J Med. 1995;333:1171–1175. doi: 10.1056/NEJM199511023331802. [DOI] [PubMed] [Google Scholar]
- 15.Beutler E, Gelbart T, Demina A. Racial variability in the UDP-glucuronosyltransferase 1 (UGT1A1) promoter: A balanced polymorphism for regulation of bilirubin metabolism? Proc Natl Acad Sci USA. 1998;95:8170–8174. doi: 10.1073/pnas.95.14.8170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Burchell B, Hume R. Molecular genetic basis of Gilbert's syndrome. J Gastroenterol Hepatol. 1999;14:960–966. doi: 10.1046/j.1440-1746.1999.01984.x. [DOI] [PubMed] [Google Scholar]
- 17.Mannervik B. The isoenzymes of glutathione transferase. Adv Enzymol Relat Areas Mol Biol. 1985;57:357–417. doi: 10.1002/9780470123034.ch5. [DOI] [PubMed] [Google Scholar]
- 18.Kolm RH, Danielson H, Zhang Y, Talalay P, Mannervik B. Isothiocyanates as substrates for human glutathione transferases: structure-activity studies. Biochem J. 1995;311:453–459. doi: 10.1042/bj3110453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Seow A, Shi C-Y, Franke AA, Hankin JH, Lee H-P, Yu MC. Isoflavonoid levels in spot urine are associated with frequency of dietary soy intake in a population-based sample of middle-aged and older Chinese in Singapore. Cancer Epidemol Biomarkers Prev. 1998;7:135–140. [PubMed] [Google Scholar]
- 20.Brooks JD, Paton VG, Vidanes G. Potent induction of phase 2 enzymes in human prostate cells by sulforaphane. Cancer Epidemiol Biomarkers Prev. 2001;10:949–954. [PubMed] [Google Scholar]
- 21.Appelt LC, Reicks MM. Soy feeding induces phase II enzymes in rat tissues. Nutr Cancer. 1997;28:270–275. doi: 10.1080/01635589709514587. [DOI] [PubMed] [Google Scholar]
- 22.Mirsalis JC, Hamilton CM, Schindler JE, Green CE, Dabbs JE. Effects of soya flakes and liquorice root extract on enzyme induction and toxicity on B6C3F1 mice. Food and Chem Toxicol. 1993;31:343–350. doi: 10.1016/0278-6915(93)90189-6. [DOI] [PubMed] [Google Scholar]
- 23.Siess MH, Le Bon AM, Suschetet M. Dietary modification of drug metabolising enzyme activities: dose response effect of flavonoids. J Toxicol and Environ Health. 1992;35:141–152. doi: 10.1080/15287399209531604. [DOI] [PubMed] [Google Scholar]
- 24.Elegbede JA, Maltzman TH, Elson CE, Goulde MN. Effects of anticarcinogenic monoterpenes on phase II hepatic metabolizing enzymes. Carcinogenesis. 1993;14:1221–1223. doi: 10.1093/carcin/14.6.1221. [DOI] [PubMed] [Google Scholar]
- 25.Chang JL, Bigler J, Schwarz Y, et al. UGT1A1 polymorphism is associated with serum bilirubin concentrations in a randomized, controlled, fruit and vegetable feeding trial. J Nutr. 2007;137:890–897. doi: 10.1093/jn/137.4.890. [DOI] [PubMed] [Google Scholar]
- 26.Lampe JW, Chen C, Li S, et al. Modulation of human glutathione S-transferases by botanically defined vegetable diets. Cancer Epidemiol Biomarkers Prev. 2000;9:787–793. [PubMed] [Google Scholar]
- 27.Sreerama L, Hedge MW, Sladek NE. Identification of a class 3 aldehyde dehdyrogenase in human saliva and increased levels of this enzyme, glutathione S-transferases, and DT-diaphorase in the saliva of subjects who continually ingest large quantities of coffee or broccoli. Clin Cancer Res. 1995;1:1153–1163. [PubMed] [Google Scholar]
- 28.Arand M, Muhlbauer R, Hengstler J, et al. A multiplex polymerase chain reaction protocol for the simultaneous analysis of the glutathione S-transferase GSTM1 and GSTT1 polymorphisms. Anal Biochem. 1996;236:184–186. doi: 10.1006/abio.1996.0153. [DOI] [PubMed] [Google Scholar]
- 29.Lampe JW, Bigler J, Horner NK, Potter JD. UDP-glucuronosyltransferase (UGT1A1*28 and UGT1A6*2) polymorphisms in Caucasians and Asians: relationships to serum bilirubin concentrations. Pharmacogenetics. 1999;9:341–349. doi: 10.1097/00008571-199906000-00009. [DOI] [PubMed] [Google Scholar]
- 30.Chung FL, Jiao D, Getahun SM, Yu MC. A urinary biomarker for uptake of dietary isothiocyanates in humans. Cancer Epidemiol Biomarkers Prev. 1998;7:103–108. [PubMed] [Google Scholar]
- 31.van der Logt EM, Roelofs HM, Nagengast FM, Peters WH. Induction of rat hepatic and intestinal UDP-glucuronosyltransferases by naturally occurring dietary anticarcinogens. Carcinogenesis. 2003;24:1651–1656. doi: 10.1093/carcin/bgg117. [DOI] [PubMed] [Google Scholar]
- 32.Pantuck EJ, Pantuck CB, Anderson KE, Wattenberg LW, Conney AH, Kappas A. Effect of Brussels sprouts and cabbage on drug conjugation. Clin Pharmacol Ther. 1984;35:161–169. doi: 10.1038/clpt.1984.22. [DOI] [PubMed] [Google Scholar]
- 33.Hecht SS, Carmella SG, Murphy SE. Effects of watercress consumption on urinary metabolites of nicotine in smokers. Cancer Epidemiol Biomarkers Prev. 1999;8:907–913. [PubMed] [Google Scholar]
- 34.Gasper AV, Traka M, Bacon JR, et al. Consuming broccoli does not induce genes associated with xenobiotic metabolism and cell cycle control in human gastric mucosa. J Nutr. 2007;137:1718–1724. doi: 10.1093/jn/137.7.1718. [DOI] [PubMed] [Google Scholar]
- 35.Lampe JW, Peterson S. Brassica, biotransformation and cancer risk: genetic polymorphisms alter the preventive effects of cruciferous vegetables. J Nutr. 2002;132:2991–2994. doi: 10.1093/jn/131.10.2991. [DOI] [PubMed] [Google Scholar]
- 36.Zhou J, Zhang J, Xie W. Xenobiotic nuclear receptor-mediated regulation of UDP-glucuronosyl-transferases. Curr Drug Metab. 2005;6:289–298. doi: 10.2174/1389200054633853. [DOI] [PubMed] [Google Scholar]
- 37.Wolf CR. Chemoprevention: Increased potential to bear fruit. Proc. Nat. Acad. Sci. USA. 2001;98:2941–2943. doi: 10.1073/pnas.071042698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Beier RC. Natural pesticides and bioactive components in foods. Rev Environ Contam Toxicol. 1990;113:47–137. doi: 10.1007/978-1-4612-3366-4_2. [DOI] [PubMed] [Google Scholar]
- 39.Diawara MM, Chavez KJ, Hoyer PB, et al. A novel group of ovarian toxicants: the psoralens. J Biochem Mol Toxicol. 1999;13:195–203. doi: 10.1002/(sici)1099-0461(1999)13:3/4<195::aid-jbt10>3.0.co;2-p. [DOI] [PubMed] [Google Scholar]
- 40.Walle UK, Walle T. Induction of human UDP-glucuronosyltransferase UGT1A1 by flavonoids-structural requirements. Drug Metab Dispos. 2002;30:564–569. doi: 10.1124/dmd.30.5.564. [DOI] [PubMed] [Google Scholar]
- 41.Sugatani J, Yamakawa K, Tonda E, et al. The induction of human UDPglucuronosyltransferase 1A1 mediated through a distal enhancer module by flavonoids and xenobiotics. Biochem Pharmacol. 2004;67:989–1000. doi: 10.1016/j.bcp.2003.11.002. [DOI] [PubMed] [Google Scholar]
- 42.Ruhl R, Sczech R, Landes N, Pfluger P, Kluth D, Schweigert FJ. Carotenoids and their metabolites are naturally occurring activators of gene expression via the pregnane X receptor. Eur J Nutr. 2004;43:336–343. doi: 10.1007/s00394-004-0475-1. [DOI] [PubMed] [Google Scholar]
- 43.Traka M, Gasper AV, Melchini A, et al. Broccoli consumption interacts with GSTM1 to perturb oncogenic signalling pathways in the prostate. PLoS ONE. 2008;3:e2568. doi: 10.1371/journal.pone.0002568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Malfatti MA, Felton JS. N-glucuronidation of 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) and N_Fhydroxy-PhIP by specific human UDP-glucuronosyltransferases. Carcinogenesis. 2001;22:1087–1093. doi: 10.1093/carcin/22.7.1087. [DOI] [PubMed] [Google Scholar]