Abstract
Scope
Tea polyphenols are metabolized by the colonic microflora yielding phenolic metabolites, which may contribute to the health benefits of tea. We determined the serum and urine concentrations of phenolic acids, hippuric acid and polyhydroxyphenyl-γ-valerolactones during green tea (GT) and black tea (BT) administration. The effects of (−)-epigallocatechin gallate (EGCG) and 3,4-dihydroxyphenylacetic acid (3,4-DHPAA) alone and in combination on bioavailability, intracellular metabolism, and antiproliferative activity was determined in HCT-116 colon cancer cells.
Methods and Results
The concentration of phenolic metabolites was quantified by HPLC with electrochemical detection and MS. Urine concentrations of 4-hydroxyphenylacetic acid (4-HPAA), 3-hydroxyphenylacetic acid (3-HPAA) and polyhydroxy-γ-valerolactones were increased significantly in men drinking GT compared to control. Urine concentration of 3-O-methylgallic acid (3OMGA) was significantly increased in men drinking BT compared to control. Serum 3,4-DHPAA was significantly increased after consumption of GT and BT and 4-HPAA after GT consumption. In vitro treatment of HCT-116 colon cancer cells with 3,4-DHPAA and EGCG exhibited an additive antiproliferative effect, while methylation of 3,4-DHPAA was significantly decreased. 3OMGA exhibited the strongest antiproliferative activity among the phenolic acids.
Conclusions
The consumption of both, GT and BT, was associated with a significant increase in urinary and serum phenolic acids.
Keywords: Black tea, EGCG, Green tea, HCT116 colon cancer cells, Phenolic metabolites
INTRODUCTION
A variety of teas including white, green, oolong, black and pu-erh teas are produced from the same plant Camellia sinensis using different post-harvesting methods. For the production of green tea (GT), the leaves are heat-treated to inactivate oxidative enzymes thus retaining a typical GT polyphenol profile. Green tea polyphenols (GTPs), also known as flavan-3-ols, include (−)-epigallocatechin (EGC), (−)-epigallocatechin-3-gallate (EGCG), (−)-epicatechin (EC), and (−)-epicatechin-3-gallate (ECG) [1]. For the production of black tea (BT), the leaves undergo fermentation in moist and warm conditions [1]. Endogenous enzymes enhance the formation of polymers such as theaflavin (THE) and thearubigin. Therefore, BT contains less monomeric polyphenols (3–10% of solids) and higher concentrations of polymeric polyphenols (23–25% of solids) compared to GT [1]. In addition a higher concentration of gallic acid is found in BT [2]. The chemical composition of thearubigins is under investigation [3].
Monomeric GTPs are absorbed in the small intestine while polymers such as theaflavin are only marginally absorbed even after the administration of large amounts equivalent to 30 cups of BT [4]. The monomeric and polymeric GTPs remaining in the intestine are transported to the colon and are transformed to 5-(3′,4′5′-trihydroxyphenyl)-γ-valerolactone (M4), 5-(3′,4′-dihydroxy)-γ-valerolactone (M6) and phenolic acids by enzymes of the colonic microflora [5;6]. Gallic acid has been identified in mouse fecal matter as breakdown metabolite of BT [7]. In human urine Hodgson et al. have identified BT specific metabolites such as 3-O-methylgallic acid (3OMGA), 4-O-methylgallic acid (4OMGA) and 3,4-O-dimethylgallic acid [2]. Potential metabolites of the theaflavins and thearubigins however are still under investigation [7]. Most metabolites are absorbed, conjugated to the glucuronidated and sulfated form, and transported to the blood and excreted in the urine [8;9]. Upon absorption, GTPs and catechol containing phenolic acids undergo methylation, catalyzed by the enzyme catechol-O-methyltransferase (COMT), which alters their biological activity [10]. The health benefits of tea have been primarily ascribed to their GTP content [11]. Since the concentration of monomeric GTPs in BT is relatively low, it is assumed that the phenolic breakdown products of polymeric polyphenols contribute to the health benefits of BT such as reduced risk of cardiovascular disease and stroke [12;13]. Possible interactions and possible enhancement of the biological activity of intestinal phenolic acid products has not been investigated in detail. Previous work from our laboratory and others demonstrated that the catechol containing 3,4-DHPAA exhibited antiproliferative and antioxidant activity in vitro [14;15]. Other phenolic acids, without the catechol or hydroxyl groups attached to the ring structure, did not exhibit considerable activities [14;15]. It was the objective of the current investigation to assess whether the consumption of GT and BT can lead to concentrations of phenolic metabolites adequate to contribute to the health benefits of tea consumption. Serum and early morning void urine samples were available from prostate cancer patients, who consumed six cups daily of GT or BT for 3–6 weeks as part of a phase II clinical prostatectomy trial [10].
Colorectal cancer is a major cause of cancer-related mortality in both men and women [16]. There is increased scientific interest in the potential of dietary substances for prevention of colon cancer [17]. The colonic microflora has been suggested to play a critical role in maintaining a healthy bowel and lowering the risk of colorectal cancer [18]. The interaction between the diet and the microbiome is complex. Bacteria can influence cancer risk by metabolizing dietary components and dietary components can influence the composition and activity of the microbiome [19]. The purpose of our investigations was to quantify the bacterial metabolites of green and black tea polyphenols and to determine the biological activity of these metabolites. Work by Jenner et al determined that the concentration of the major phenolics in human fecal water was in the range of 46–479 μmol/L each, which is much greater than the maximum plasma concentrations of 1–2 μmol/L [20]. Therefore we expect that colonic phenolic breakdown products will contribute to the health benefit of tea in the digestive system and we selected colon cancer cells for our in vitro investigations. Since the colon contains a mixture of different phenolic acids and parent polyphenols we investigated in vitro the antiproliferative activity and interaction of EGCG and 3,4-DHPAA.
MATERIALS AND METHODS
GT and BT intervention in men diagnosed with prostate cancer
As part of an ongoing clinical study to investigate the effect of tea consumption on prostate cancer, serum and urine samples were collected for the analysis of phenolic breakdown products of tea polyphenols. Details of the trial have been described previously [10]. The following protocol was approved by the UCLA and Veterans Administration human subjects’ committees and informed consent was signed by all study subjects (IRB#10-001050). The clinical trial is registered as NCI-2010-00973. At the time of the phenolic acid analysis 82 men with clinically localized prostate cancer were randomized to 6 cups daily of green tea, black tea or water for 3 to 6 weeks prior to undergoing radical prostatectomy. Thirteen withdrew and 69 men completed the intervention (24 in control group and 23 in GT and 22 BT group). Subjects randomized to the tea groups received detailed instructions to prepare the tea using 1 tea bag in 240 ml of boiling water to be brewed for 5 min. GT bags (authentic GT) were provided by Celestial Seasonings (Boulder, CO) and BT bags (English Breakfast tea) were purchased from Twinings (Clifton, NJ). All tea bags were from the same production lot number. The control group was instructed to consume 6 cups of water daily. A tea consumption diary was kept to record compliance. A fasting urine sample was collected at baseline and two first void urine samples during the intervention. Fasting blood was collected before the intervention and the morning of the surgery.
Polyphenol analysis of GT and BT
Tea was brewed by steeping one tea bag in 240 mL of boiling water for 5 min. The GTP composition was determined by HPLC with CoulArray electrochemical detection (ESA, Chelmsford, MA) as previously described [21].
Phenolic acids, valerolactone and hippuric acid analysis
Serum and urinary phenolic acids and polyhydroxyphenyl-γ-valerolactones (M4 and M6) were quantified according to the protocol described previously for plasma and urinary flavanol analysis [22] with minor modifications. Briefly, 200 μl of serum and urine samples were incubated with glucuronidase (500 U, G7896, Sigma-Aldrich, St. Louis, MI) and sulfatase (40 U, S9754, Sigma-Aldrich) to release the free forms from conjugates. Serum was deproteinized with repeated treatments of 400 μL of methylene chloride and 300 μl of water. The aqueous phase was pooled and acidified to pH 3 with 1N hydrochloric acid for ethyl acetate extraction. Urine was extracted twice with 800 μl of ethyl acetate directly after acidification. The extract was vacuum dried and reconstituted. Urinary hippuric acid concentration was determined by injecting urine directly after appropriate dilution (10–1000 folds with water). Phenolic acid M4 and M6 concentrations were determined by HPLC with CoulArray electrochemical detection (ESA, Chelmsford, MA) as previously described [21;22] and hippuric acid by LC-MS/MS (Thermo Finnigan, San Jose, CA) according to Penner et al. [23]. Urinary phenolic acids, M4 and M6, and hippuric acid concentrations were quantified according to their standard curves and adjusted by urinary creatinine concentration. All HPLC grade solvents were purchased from Fisher Scientific (Pittsburgh, PA). 3-hydroxyphenylacetic acid (3-HPAA), 4-hydroxyphenylacetic acid (4-HPAA), 3,4-DHPAA, 3-methoxy-4-hydroxyphenylacetic acid (3M4-HPAA, 3OMGA (3,4-dihydroxy-5-methoxybenzoic acid), 4OMGA (3,5-dihydroxy-4-methoxybenzoic acid) and hippuric acid were purchased from Sigma-Aldrich. A defined laboratory urine standard, with known quantities of the 5-(3′,4′,5′-trihydroxyphenyl)-γ-valerolactone (M4) and 5-(3′,4′-dihydroxy)-γ-valerolactone (M6) concentrations and known retention times were generously provided by the laboratory of C.S. Yang [24]. The quantities of the valerolactones in this standard were determined by LC-MS/MS [24]. Urinary creatinine was determined using the colorimetric creatinine Liquicolor® kit (Stanbio Laboratory, Boerne, TX) according to manufacturer’s instructions.
Total phenolic content analysis
The total phenolic content was determined according to the Folin-Ciocalteau method [25]. Brewed GT and BT were diluted 1:5 with methanol-water (1:1). 20 μL of sample was incubated with 300 μL of methanol-water (1:1) and 20 μL of Folin-Ciocalteau reagent for 10 min at 25°C. 60 μl of 20% Na2CO3 solution was added to each tube and mixed well. Tubes were further incubated for 20 min at 40oC. After incubation, samples were immediately cooled in an ice bath to room temperature. Samples and standards (gallic acid) were processed identically. The absorbance was determined at 755 nm (VersaMax microplate reader, Molecular Devices, Sunnyvale, CA) and final results calculated from the standard curve.
Cell culture experiment
HCT116 colon cancer cells were grown in McCoys5A medium supplemented with 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin. Cells were maintained below passage 15 and were seeded into 96-well plate at a density of 1×104 cells/well (100μl) and incubated for 28 hours in 37°C, 5% CO2 to allow cell attachment. After cells attached, cells were treated with the following: vehicle control (dimethylsulfoxide, DMSO), EGCG at 40μmol/L, 3,4-DHPAA at 100, 200, and 300μmol/L, 3M4-HPAA at 100 and 200μmol/L, co-treatment of 40μmol/L EGCG with 100, 200 and 300μmol/L 3,4-DHPAA. Stock solutions of EGCG, 3,4-DHPAA, and 3M4-HPAA were prepared in DMSO at concentrations of 100mM, 200mM and 200mM, respectively. 3OMGA, 4OMGA, 3-HPAA, 4-HPAA, HA, and 3M4-HPAA were tested at 50, 100, 200, 300 and 400 μmol/L. At a pH of 6.5 or above EGCG undergoes dimerization, producing hydrogen peroxide (H2O2) [26]. To avoid the effect of H2O2, catalase was added to the medium at 50U/ml 5 min prior to the addition of EGCG. All treatments were normalized to 0.2% DMSO. The antiproliferative effect of treatments was determined after 24 hr using the CellTiter-Glo® Luminescent Cell Viability Assay kit (Promega Corporation, Madison, WI) to determine ATP production following the manufacturer’s instruction by reading the luminescence on a SpectraMax GeminiEM Microplate Reader (Molecular Devices, Sunnyvale, CA). All experiments were done in triplicates.
Methylation of EGCG and 3,4-DHPAA
HCT116 cells were grown in 60 mm dishes for 2 or 24 hours with 60 μmol/L of EGCG, 100 μmol/L of 3,4-DHPAA or co-treatment of EGCG with 3,4-DHPAA at the same concentration. Cells were washed, harvested, lysed and intracellular concentration determined by HPLC with Coularray electrochemical detection as described previously [10]. Cytosolic protein concentration was determined using the Bio-Rad protein assay according to the manufacturer’s protocol (Bio-Rad Laboratories, Hercules, CA).
Determination of COMT activity
Cells were cultured in 60 mm Petri dishes and treated with 60 μmol/L of EGCG as used for the bioavailability assay. After 2h or 24 h the cells were harvested and COMT activity was measured followed the procedures described by Reenilä et al [27] with some modifications. Briefly, medium was removed and the dishes were washed with 5 ml of cold PBS for 3 times. The cells were collected and homogenized in 10mM Na2HPO4 buffer (pH 7.4) containing 0.5mM DTT. The homogenates were centrifuged at 900 × g for 10min at 4°C and protein concentrations in the supernatant were measured by the Bio-Rad protein assay following the manufacturer’s protocol (Bio-Rad Laboratories). The supernatants were stored at −70°C until use. The COMT activity was evaluated based on the formation of the methyl metabolite vanillic acid (3-methoxy-4-hydroxybenzoic acid) of dihydroxybenzoic acid (DHBAc) catalyzed by COMT. Briefly, the cell preparation containing 100μg protein was incubated at 37°C with 0.2 mM S-adenosyl-L-methionine iodide (AdoMet) (Sigma Chemicals), 5mM MgCl2, and 200μM DHBAc, buffered with 100mM Na2HPO4 buffer (pH 7.4) in a total volume of 125μl. After 30min, the reaction was terminated by adding 25μl of 4M perchloric acid. Protein was removed by centrifuge at 14,000rpm for 15min, and the supernatant was detected by HPLC-CoulArray detection system for vanillic acid which had a main peak at 500mV. The COMT enzyme activity was expressed as nmol vanillic acid formed/h/mg protein. The experiment was performed in triplicate.
Statistical Analysis
All statistical analyses were conducted using the SAS statistical software package version 9.2, 2008 (SAS Institute, Cary, NC). Mean values and standard deviations were calculated using descriptive statistics. We evaluated baseline differences using ANOVA with multiple pair-wise comparisons for continuous variables and chi-square cross-tabulation analysis for comparisons of categorical variables. To assess treatment group effects, we conducted repeated measures analysis of variance (rANOVA) models that simultaneously estimated within subject change from baseline and between group differences. We constructed contrasts that compared GT to control and BT to control. The rANOVA models of serum variables utilized two time points, baseline and post intervention, while models of urinary variables utilized three time points: baseline, week 2 and week 3. Reported p-values are based on the rANOVA time by group interactions. Differences between the antiproliferative activity of the individual phenolic metabolites and in combination compared to the vehicle control were determined using ANOVA. Student’s t-test was used to compare the intracellular concentration of 3,4-DHPAA and methylated 3,4-DHPAA after treatment with 3,4-DHPAA alone or in combination with EGCG.
RESULTS
Baseline Differences
At baseline there was no significant difference in age, race, body composition, compliance, days of intervention, and number and type of medication between intervention and control groups (Table 1).
Table 1.
Control | GT | BT | p-value | |
---|---|---|---|---|
N | 24 | 23 | 22 | |
Age | 62.1±5.7 | 61.0±6.9 | 62.0±7.5 | 0.83 |
Weight (kg) | 87.7±15.7 | 87.4±12.4 | 88.6±13.7 | 0.96 |
Height (m) | 1.8±0.08 | 1.8±0.07 | 1.8±0.07 | 0.98 |
BMI (kg/m2) | 27.4±4.9 | 27.2±3.8 | 27.4±3.6 | 0.98 |
Compliance | 93.4 11 | 95.1 10 | 92.6 13 | 0.7 |
Days of tea consumption (d) | 29.4 8.0 | 33.2 23 | 31.8 10 | 0.6 |
Medication (%): | ||||
0–1 | 39.4 | 23.5 | 24.0 | |
>1 | 60.6 | 76.5 | 76.0 | 0.29 |
Medication: Diabetes, hypertension, lipid/cholesterol lowering, antidepressant, benign prostate hypertrophy, anti-inflammatory, chronic obstructive pulmonary disease, erectile dysfunction.
Total phenolic content of GT and BT
The consumption of six cups of GT provided a total of 1027 mg GTPs (2659 μmol), 17 mg gallic acid, with a total of 1215 mg gallic acid equivalents (GAE), whereas BT contained a total of 82 mg GTPs (about 205 μmol), 344 mg gallic acid, 35 mg of THE (49 μmol) with a total of 940 mg GAE (Table 2).
Table 2.
Green Tea | Black Tea | |
---|---|---|
Total Phenolics (mg GAE)a) | 1215±17 | 940±8.3 |
EGCG (mg) | 571±41 | 40±1.2 |
EGC (mg) | 291±16 | 8±0.7 |
EC (mg) | 75±6.8 | 12±0.3 |
ECG (mg) | 89±6.6 | 22±0.4 |
Gallic acid (mg) | 17±3.3 | 344±5.2 |
THE (mg) | 0 | 35±3.6 |
Total phenolic content was expressed as gallic acid equivalent (GAE) (mean±std).
Serum and urine phenolic metabolites and hippuric acid concentrations
Fasting serum was collected at baseline visit and prior to surgery at early morning in the hospital. Fasting urine was collected at baseline and twice during the intervention as first void urine. The analysis of urine from men consuming six cups of GT, BT or water for 3–6 weeks demonstrated that all four phenolic acids, the two valerolactone metabolites as well as hippuric acid were excreted in urine (Figure 1). Among the phenolic acids 4-HPAA was present in the highest concentration in urine of the control group followed by 3,4-DHPAA, 3M4-HPAA and 3-HPAA. Urine concentrations of 4-HPAA (p=0.04) and 3-HPAA (p=0.002) increased significantly following GT consumption. Urinary 3,4-DHPAA (p=0.07) showed a marginal significant increase, while 3M4-HPAA (p=0.14) and hippuric acid (p=0.13) showed an increasing trend following the GT consumption (Figure 1). The urine concentrations of M4 and M6 (M4: p=0.005; M6: p=0.002) were significantly increased after GT consumption (Figure 1F and G). 3MOGA was highly specific for BT consumption and was increased significantly in 17 out of 22 men consuming BT and 3 out of 23 men consuming GT. 3MOGA was absent in urine from men consuming water. In urine from men consuming BT the urine concentration of all phenolic metabolites increased modestly over time, but did not reach significance. The mean change in excretion of hippuric acid from baseline due to drinking GT was 3058 μmol (520 mg of hippuric acid) per day and the sum of the four phenolic acids was 96.5 μmol per day (assuming a daily creatinine excretion of 2 g). While drinking BT, the mean change of hippuric acid was 1512 μmol (257 mg of hippuric acid) per day and the sum of the four phenolic acids was 69 μmol per day (Figure 1).
While many serum phenolic acid concentrations did not change significantly according to intervention group compared to control (Table 3), the serum concentration of 3,4-DHPAA after GT and BT intervention and 4-HPAA after GT consumption increased significantly (Table 2). M4 and M6 and 3OMGA were not detected in blood except in one blood sample.
Table 3.
Time | Control μmol/L a) | GT μmol/L | BT μmol/L | |
---|---|---|---|---|
3,4DHPAA | Baseline | 101±112 | 116±122 | 90.0±138.9 |
Post | 59±73 | 135±160b) | 117±185b) | |
3M4HPAA | Baseline | 170±174 | 61±290 | 154±187 |
Post | 157±170 | 199±192 | 176±192 | |
3HPAA | Baseline | 316±422 | 302±305 | 241±267 |
Post | 316±434 | 338±375 | 261±290 | |
4HPAA | Baseline | 568±458 | 640±634 | 541±465 |
Post | 528±442 | 798±895b) | 668±685 | |
HA | Baseline | 1790±1720 | 1910±1540 | 1792±1814 |
Post | 1730±2030 | 1950±2040 | 2305±1578 |
(mean±std; Cntr N=24, GT N=23 and BT N=22).
BT or GT compared to control for within subject change from baseline by group interaction P<0.05 (repeated measures analysis of variance model was applied).
Inhibition of cell proliferation of HCT116 colon cancer cells
Screening the antiproliferative activity of all phenolic acids found in the urine we demonstrated that only EGCG and 3MOGA showed IC50 below 400 μmol/L (Table 4). We observed a significant increase in inhibition of proliferation of HCT116 colon cancer cells after treatment with EGCG and 3,4-DHPAA for 24 hours compared to vehicle control treatment (Figure 2). Treatment with the methylated form of 3,4-DHPAA (3M4-HPAA) did not inhibit proliferation. For the combination treatment concentrations below the inhibitory concentration of 50% (IC50) were chosen since the objective of the experiment was to determine the characteristics of co-treatment. The combination treatment of EGCG and 3,4-DHPAA significantly increased the antiproliferative effect compared to the individual treatments.
Table 4.
EGCG | 3MeGA | 4MeGA | 34DHPAA | 3HPAA | 4HPAA | HA | 3M4HPAA | |
---|---|---|---|---|---|---|---|---|
IC50 | 145 | 260 | >400 | >400 | >400 | >400 | >400 | >400 |
Intracellular metabolism of cotreatment of EGCG and 3,4-DHPAA
HCT116 cells were treated with EGCG, 3,4-DHPAA or the combination of EGCG and 3,4-DHPAA. The uptake of 3,4-DHPAA in HCT116 was much higher compared to EGCG and 3,4-DHPAA was present mainly in the methylated form (3M4-HPAA). After 24 h the content of methylated 3,4-DHPAA was doubled to 2238.2 ± 69.3 with 65.1 ± 14.3 pmol of 3,4-DHPAA per mg cytosolic protein remaining. The major effect of treatment of HCT116 cells with a combination of EGCG and 3,4-DHPAA for 2 h was a decrease in methylation of 3,4-DHPAA by 85% and significant increase in intracellular concentration of nonmethylated 3,4-DHPAA (Figure 3A). The intracellular uptake of EGCG after treatment with 60 μmol/L of EGCG was much lower compared to 3,4-DHPAA and was further decreased significantly with the combination treatment (Figure 3).
Inhibition of COMT activity
HCT116 colon cancer cells were incubated with 60 μmol/L of EGCG for 2 and 24 h. After 2 and 24h of EGCG treatment, COMT activity was inhibited by 65% (5.6μmol/L of methylated end product compared to 15.7 μmol/L without EGCG).
DISCUSSION
Tea may contribute to the prevention and treatment of chronic disease either directly through GTPs absorbed into the circulation and transported to the target tissues or indirectly through phenolic metabolites formed from GTPs by the colonic microflora. In a previous publication we reported the urinary and prostate tissue concentration of GTPs in 17 participants from the same tea intervention study in prostate cancer patients [10]. Here we demonstrate that the concentration and type of phenolic metabolites in serum and urine are significantly different after consumption of GT compared to BT for 3–6 weeks. After GT consumption we observed a significant increase in urinary concentrations of four out of eight phenolic metabolites and a trend to increase in three other phenolic metabolites. Whereas, after BT consumption, 3OMGA was increased significantly and we observed some non-significant increases in the other phenolic metabolites. Many of the phenolic metabolites are not specific markers of tea intake, since they were also present in urine from men in the water control group. Only 5-(3′,4′,5′-trihydroxyphenyl)- γ-valerolactone (M4) was unique to the urine collected by men in the GT and BT intervention groups and 3OMGA in the BT group. M4, as described by Sang et al., is a specific marker of EGCG and (−)-epigallocatechin metabolism and therefore is tea specific [24]. These phenolic ring fission products have been described in pharmacokinetic studies appearing after 4 hours in the plasma and between 8–12 hours in urine [28;29]. Due to the high concentration excreted in association with tea consumption the M4 metabolite may provide an excellent marker of tea consumption to be used in epidemiological studies. For example in a prospective study of gastric, esophageal and colon cancer in men from the Shanghai study the excretion of the hydroxyphenyl-γ-valerolactones was highly correlated with tea intake [30;31]. Little is known about the biological activity of the hydroxyphenyl-γ-valerolactones. One study by Sanchez-Patan demonstrated that 5-(3′,4′-dihydroxyphenyl)- γ-valerolactone (M6) exhibited about 60% of the antioxidant activity compared to catechin/epicatechin [32].
Our chemical analysis of BT found that gallic acid is present in high concentration (344±5.2 mg per six cups). In a previous study by Hodgson three gallic acid metabolites (3OMGA, 4OMGA and 3,4-O-dimethylgallic acid) were found to be increased significantly after the consumption of five cups of BT daily [2]. In our study presented here we found a significant increase in urinary 3MOGA. The concentration of 3MOGA in serum was below the detection limit. Our proliferation assay in colon cancer cells demonstrated that 3OMGA exhibited the strongest antiproliferative activity among the phenolic acids tested, whereas 4OMGA did not inhibit cell growth. This further supports our hypothesis that phenolic compounds with a catechol group exhibit stronger antiproliferative activity since only 3OMGA but not 4OMGA has a catechol group.
Serum 3,4-DHPAA was increased significantly in serum after the GT and BT intervention and 4-HPAA after GT consumption. Future pharmacokinetic studies are needed to truly assess the serum concentrations of these phenolic metabolites. Although the increase noted in the concentration of serum 3,4-DHPAA and 4-HPAA was relatively small, it is possible that the sum of all phenolic acids may contribute to the beneficial health effect of tea.
Hippuric acid (N-benzoylglycine) is a hepatic conjugation product of colonic phenolic acids with glycine [33]. Hippuric acid has been demonstrated to be an important gut microbial co-metabolite [33,34]. Urinary hippuric acid was much more increased in urine from men consuming GT compared to BT. However hippuric acid does not appear to be a specific marker of polyphenol intake from tea. Nevertheless, urinary levels of hippurate have been shown to correlate with obesity and hypertension and were decreased in patients with Type 2 Diabetes Mellitus [35–37].
The chemical source for the colonic phenolic acid formation differs between GT and BT. In BT the majority of phenolics are present in very large molecular size compounds such as thearubigins and have been demonstrated to contribute to the formation of hippuric acid [38]. The consumption of six cups of GT provided a total of 1215 mg GAE, which was almost entirely composed of GTPs (1027 mg). In contrast BT contained a total of 940 mg GAE, including 74 mg GTPs, 35 mg of THE and 344 mg gallic acid. Based on this difference of GAE and monomeric polyphenols in BT we hypothesize that polymeric thearubigins contribute to the GAE and to the formation of phenolic acids and hippuric acid.
A large interindividual variability between the formation of phenolic metabolites and hippuric acid was observed, which possibly is based on differences in the individual intestinal species within the microflora. It has been demonstrated by Schantz et al. that the amount of phenolic acids generated by the microflora depends on the composition of the microbiome [39]. For example they demonstrated that a difference in microbiome composition of ileostomy content was associated with a significant difference in degradation of tea flavanols [39]. Another study by Lee et al provided evidence that GTPs significantly alter the composition of the intestinal bacterial population [40].
Similar urinary phenolic acid concentrations as found in our analyses were found by a study by Olthof et al. [15] following administration of a single dose of 4 g of BT solids (Unilever Research, Vlaardingen, Netherlands) containing 4.3 mmol phenols as monomeric equivalents equivalent to 2 L of strong BT daily for 7 days [15]. A significant increase over placebo intervention was found for 3-HPAA (68±6 μmol/24 h), 3,4-DHPAA (26±2 μmol/24 h) and hippuric acid (4400±400 μmol/24 h), [15]. Other phenolic acids found were vanillic and homovanillic acid [15;41].
We demonstrated that 3MOGA had the strongest antiproliferative activity followed by 3,4-DHPAA in HCT116 colon cancer cells among the phenolic acids found in serum and urine [14]. It appears that the catechol group is important to the biological activity. The IC50 concentrations of EGCG and the phenolic acids found to inhibit the proliferation of HCT116 colon cancer cells were relatively high compared to other published data. Most likely the catalase-treatment used in our cell culture experiments to avoid the hydrogen peroxide effect, contributed to the high IC50 concentrations [42]. Lower, noncytotoxic concentrations of 3,4DHPAA and 3-(3,4-dihydroxyphenyl)-propionic acid were effective in inhibiting enzymes involved in detoxification (GSTT2) and inflammation (COX-2) [43]. In addition although the concentration of each intestinal phenolic metabolite may not be high enough to exhibit significant biological activity, it is our hypothesis that the combined activity of the phenolic metabolites and parent polyphenols will increase the antiproliferative activity in the colon. In the current in vitro study we demonstrated that the combination of EGCG and 3,4-DHPAA significantly increased the antiproliferative activity compared to treatment with EGCG or DHPAA alone. In HCT116 cells EGCG inhibited the COMT activity by 65% leading to a significant decrease of the intracellular concentration of methylated 3,4-DHPAA. In methylated form, both EGCG and 3,4-DHPAA exhibit lower antiproliferative activity [44]. Therefore the decrease in 3,4-DHPAA methylation by cotreatment with EGCG may have led to the increase in antiproliferation.
The human COMT has a low substrate specificity, and can catalyze the O-methylation of various catechol-containing endobiotics and xenobiotics [44]. It has been demonstrated that certain catechol containing flavonoids such as EGCG and quercetin inhibit COMT activity [45]. Enzymatic studies by Zhu et al and Nagai et al. demonstrated that EGCG is an exceptional strong COMT inhibitor with an IC50 of 50 nmol/L in comparison to phenolic acids from coffee such as chlorogenic acid (IC50=1.4 μmol/L) and caffeic acid (IC50=6–12 μmol/L) [46;47]. Our observation that EGCG strongly inhibited the methylation of 3,4-DHPAA over its own methylation is supporting the fact that EGCG is a stronger COMT inhibitor compared to 3,4-DHPAA.
In summary, we found that the GT-specific urinary phenolic marker (5-(3′,4′,5′-trihydroxyphenyl)- γ-valerolactone) and BT-specific marker (3OMGA) were increased significantly after the consumption of six cups of GT or BT compared to water control. Serum phenolic acids showed smaller increases after consumption of GT and BT. Metabolic interactions between the intestinal phenolic acid product 3,4-DHPAA with its parent compound EGCG may enhance the biological potency of tea in the colon. Future preclinical studies are warranted to evaluate potential chemopreventative and/or anticancer effects of green tea in colon cancer models.
Acknowledgments
This work was supported by the National Institutes of Health [RO1 CA116242] and [P50CA92131].
Abbreviations
- 3,4-DHPAA
3,4-dihydroxyphenylacetic acid
- 4-HPAA
4-hydroxyphenylacetic acid
- 3-HPAA
3-hydroxyphenylacetic acid
- 3M4-HPAA
3-methoxy-4-hydroxyphenylacetic acid
- 3OMGA
3-O-methyl gallic acid
- 4OMGA
4-O-methylgallic acid
- BT
black tea
- COMT
catechol-O-methyltransferase
- EGCG
(−)-epigallocatechin gallate
- GAE
gallic acid equivalent
- GT
Green tea
- GTP
green tea polyphenol
- M4 and M6
polyhydroxyphenyl-γ-valerolactones
- THE
theaflavin
Footnotes
CONFLICT OF INTEREST STATEMENT
None of the authors had a conflict of interest.
References
- 1.Sharma V, Rao LJ. A thought on the biological activities of black tea. Crit Rev Food Sci Nutr. 2009;49:379–404. doi: 10.1080/10408390802068066. [DOI] [PubMed] [Google Scholar]
- 2.Hodgson JM, Morton LW, Puddey IB, Beilin LJ, Croft KD. Gallic acid metabolites are markers of black tea intake in humans. J Agric Food Chem. 2000;48:2276–2280. doi: 10.1021/jf000089s. [DOI] [PubMed] [Google Scholar]
- 3.Kuhnert N, Drynan JW, Obuchowicz J, Clifford MN, Witt M. Mass spectrometric characterization of black tea thearubigins leading to an oxidative cascade hypothesis for thearubigin formation. Rapid Commun Mass Spectrom. 2010;24:3387–3404. doi: 10.1002/rcm.4778. [DOI] [PubMed] [Google Scholar]
- 4.Mulder TP, van Platerink CJ, Wijnand Schuyl PJ, Van Amelsvoort JM. Analysis of theaflavins in biological fluids using liquid chromatography-electrospray mass spectrometry. J Chromatogr B Biomed Sci Appl. 2001;760:271–279. doi: 10.1016/s0378-4347(01)00285-7. [DOI] [PubMed] [Google Scholar]
- 5.Li C, Meng X, Winnik B, Lee MJ, Lu H, Sheng S, Buckley B, Yang CS. Analysis of urinary metabolites of tea catechins by liquid chromatography/electrospray ionization mass spectrometry. Chem Res Toxicol. 2001;14:702–707. doi: 10.1021/tx0002536. [DOI] [PubMed] [Google Scholar]
- 6.Li C, Lee MJ, Sheng S, Meng X, Prabhu S, Winnik B, Huang B, Chung JY, Yan S, Ho CT, Yang CS. Structural identification of two metabolites of catechins and their kinetics in human urine and blood after tea ingestion. Chem Res Toxicol. 2000;13:177–184. doi: 10.1021/tx9901837. [DOI] [PubMed] [Google Scholar]
- 7.Chen H, Parks TA, Chen X, Gillitt ND, Jobin C, Sang S. Structural identification of mouse fecal metabolites of theaflavin 3,3′-digallate using liquid chromatography tandem mass spectrometry. J Chromatogr A. 2011;1218:7297–7306. doi: 10.1016/j.chroma.2011.08.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Henning SM, Choo JJ, Heber D. Nongallated compared with gallated flavan-3-ols in green and black tea are more bioavailable. J Nutr. 2008;138:1529S–1534S. doi: 10.1093/jn/138.8.1529S. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lambert JD, Sang S, Yang CS. Biotransformation of green tea polyphenols and the biological activities of those metabolites. Mol Pharm. 2007;4:819–825. doi: 10.1021/mp700075m. [DOI] [PubMed] [Google Scholar]
- 10.Wang P, Aronson WJ, Huang M, Zhang Y, Lee RP, Heber D, Henning SM. Green tea polyphenols and metabolites in prostatectomy tissue: implications for cancer prevention. Cancer Prev Res (Phila) 2010;3:985–993. doi: 10.1158/1940-6207.CAPR-09-0210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yang CS, Wang X, Lu G, Picinich SC. Cancer prevention by tea: animal studies, molecular mechanisms and human relevance. Nat Rev Cancer. 2009;9:429–439. doi: 10.1038/nrc2641. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bohn SK, Ward NC, Hodgson JM, Croft KD. Effects of tea and coffee on cardiovascular disease risk. Food Funct. 2012;3:575–591. doi: 10.1039/c2fo10288a. [DOI] [PubMed] [Google Scholar]
- 13.Arab L, Liu W, Elashoff D. Green and black tea consumption and risk of stroke: a meta-analysis. Stroke. 2009;40:1786–1792. doi: 10.1161/STROKEAHA.108.538470. [DOI] [PubMed] [Google Scholar]
- 14.Gao K, Xu A, Krul C, Venema K, Liu Y, Niu Y, Lu J, Bensoussan L, Seeram NP, Heber D, Henning SM. Of the major phenolic acids formed during human microbial fermentation of tea, citrus, and soy flavonoid supplements, only 3,4-dihydroxyphenylacetic acid has antiproliferative activity. J Nutr. 2006;136:52–57. doi: 10.1093/jn/136.1.52. [DOI] [PubMed] [Google Scholar]
- 15.Olthof MR, Hollman PC, Buijsman MN, van Amelsvoort JM, Katan MB. Chlorogenic acid, quercetin-3-rutinoside and black tea phenols are extensively metabolized in humans. J Nutr. 2003;133:1806–1814. doi: 10.1093/jn/133.6.1806. [DOI] [PubMed] [Google Scholar]
- 16.Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin. 2012;62:10–29. doi: 10.3322/caac.20138. [DOI] [PubMed] [Google Scholar]
- 17.Pan MH, Lai CS, Wu JC, Ho CT. Molecular mechanisms for chemoprevention of colorectal cancer by natural dietary compounds. Mol Nutr Food Res. 2011;55:32–45. doi: 10.1002/mnfr.201000412. [DOI] [PubMed] [Google Scholar]
- 18.O’Keefe SJ. Nutrition and colonic health: the critical role of the microbiota. Curr Opin Gastroenterol. 2008;24:51–58. doi: 10.1097/MOG.0b013e3282f323f3. [DOI] [PubMed] [Google Scholar]
- 19.Davis CD, Milner JA. Gastrointestinal microflora, food components and colon cancer prevention. J Nutr Biochem. 2009;20:743–752. doi: 10.1016/j.jnutbio.2009.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Jenner AM, Rafter J, Halliwell B. Human fecal water content of phenolics: the extent of colonic exposure to aromatic compounds. Free Radic Biol Med. 2005;38:763–772. doi: 10.1016/j.freeradbiomed.2004.11.020. [DOI] [PubMed] [Google Scholar]
- 21.Henning SM, Niu Y, Lee NH, Thames GD, Minutti RR, Wang H, Go VL, Heber D. Bioavailability and antioxidant activity of tea flavanols after consumption of green tea, black tea, or a green tea extract supplement. Am J Clin Nutr. 2004;80:1558–1564. doi: 10.1093/ajcn/80.6.1558. [DOI] [PubMed] [Google Scholar]
- 22.Hudthagosol C, Haddad EH, McCarthy K, Wang P, Oda K, Sabate J. Pecans acutely increase plasma postprandial antioxidant capacity and catechins and decrease LDL oxidation in humans. J Nutr. 2011;141:56–62. doi: 10.3945/jn.110.121269. [DOI] [PubMed] [Google Scholar]
- 23.Penner N, Ramanathan R, Zgoda-Pols J, Chowdhury S. Quantitative determination of hippuric and benzoic acids in urine by LC-MS/MS using surrogate standards. J Pharm Biomed Anal. 2010;52:534–543. doi: 10.1016/j.jpba.2010.01.016. [DOI] [PubMed] [Google Scholar]
- 24.Sang S, Lee MJ, Yang I, Buckley B, Yang CS. Human urinary metabolite profile of tea polyphenols analyzed by liquid chromatography/electrospray ionization tandem mass spectrometry with data-dependent acquisition. Rapid Commun Mass Spectrom. 2008;22:1567–1578. doi: 10.1002/rcm.3546. [DOI] [PubMed] [Google Scholar]
- 25.Singleton VL, Esau P. Phenolic substances in grapes and wine, and their significance. Adv Food Res Suppl. 1969;1:1–261. [PubMed] [Google Scholar]
- 26.Neilson AP, Hopf AS, Cooper BR, Pereira MA, Bomser JA, Ferruzzi MG. Catechin Degradation with Concurrent Formation of Homo- and Heterocatechin Dimers during in Vitro Digestion. J Agric Food Chem. 2007;55:8941–8949. doi: 10.1021/jf071645m. [DOI] [PubMed] [Google Scholar]
- 27.Reenila I, Tuomainen P, Mannisto PT. Improved assay of reaction products to quantitate catechol-O-methyltransferase activity by high-performance liquid chromatography with electrochemical detection. J Chromatogr B Biomed Appl. 1995;663:137–142. doi: 10.1016/0378-4347(94)00433-6. [DOI] [PubMed] [Google Scholar]
- 28.Lee MJ, Maliakal P, Chen L, Meng X, Bondoc FY, Prabhu S, Lambert G, Mohr S, Yang CS. Pharmacokinetics of tea catechins after ingestion of green tea and (−)-epigallocatechin-3-gallate by humans: formation of different metabolites and individual variability. Cancer Epidemiol Biomarkers Prev. 2002;11:1025–1032. [PubMed] [Google Scholar]
- 29.Del RD, Calani L, Cordero C, Salvatore S, Pellegrini N, Brighenti F. Bioavailability and catabolism of green tea flavan-3-ols in humans. Nutrition. 2010;26:1110–1116. doi: 10.1016/j.nut.2009.09.021. [DOI] [PubMed] [Google Scholar]
- 30.Yuan JM, Gao YT, Yang CS, Yu MC. Urinary biomarkers of tea polyphenols and risk of colorectal cancer in the Shanghai Cohort Study. Int J Cancer. 2007;120:1344–1350. doi: 10.1002/ijc.22460. [DOI] [PubMed] [Google Scholar]
- 31.Sun CL, Yuan JM, Lee MJ, Yang CS, Gao YT, Ross RK, Yu MC. Urinary tea polyphenols in relation to gastric and esophageal cancers: a prospective study of men in Shanghai, China. Carcinogenesis. 2002;23:1497–1503. doi: 10.1093/carcin/23.9.1497. [DOI] [PubMed] [Google Scholar]
- 32.Sanchez-Patan F, Chioua M, Garrido I, Cueva C, Samadi A, Marco-Contelles J, Moreno-Arribas MV, Bartolome B, Monagas M. Synthesis, analytical features, and biological relevance of 5-(3′,4′-dihydroxyphenyl)-gamma-valerolactone, a microbial metabolite derived from the catabolism of dietary flavan-3-ols. J Agric Food Chem. 2011;59:7083–7091. doi: 10.1021/jf2020182. [DOI] [PubMed] [Google Scholar]
- 33.Phipps AN, Stewart J, Wright B, Wilson ID. Effect of diet on the urinary excretion of hippuric acid and other dietary-derived aromatics in rat A complex interaction between diet, gut microflora and substrate specificity. Xenobiotica. 1998;28:527–537. doi: 10.1080/004982598239443. [DOI] [PubMed] [Google Scholar]
- 34.Roowi S, Stalmach A, Mullen W, Lean ME, Edwards CA, Crozier A. Green tea flavan-3-ols: colonic degradation and urinary excretion of catabolites by humans. J Agric Food Chem. 2010;58:1296–1304. doi: 10.1021/jf9032975. [DOI] [PubMed] [Google Scholar]
- 35.Holmes E, Loo RL, Stamler J, Bictash M, Yap IK, Chan Q, Ebbels T, De IM, Brown IJ, Veselkov KA, Daviglus ML, Kesteloot H, Ueshima H, Zhao L, Nicholson JK, Elliott P. Human metabolic phenotype diversity and its association with diet and blood pressure. Nature. 2008;453:396–400. doi: 10.1038/nature06882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Salek RM, Maguire ML, Bentley E, Rubtsov DV, Hough T, Cheeseman M, Nunez D, Sweatman BC, Haselden JN, Cox RD, Connor SC, Griffin JL. A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human. Physiol Genomics. 2007;29:99–108. doi: 10.1152/physiolgenomics.00194.2006. [DOI] [PubMed] [Google Scholar]
- 37.Calvani R, Miccheli A, Capuani G, Tomassini MA, Puccetti C, Delfini M, Iaconelli A, Nanni G, Mingrone G. Gut microbiome-derived metabolites characterize a peculiar obese urinary metabotype. Int J Obes (Lond) 2010;34:1095–1098. doi: 10.1038/ijo.2010.44. [DOI] [PubMed] [Google Scholar]
- 38.Clifford MN, Copeland EL, Bloxsidge JP, Mitchell LA. Hippuric acid as a major excretion product associated with black tea consumption. Xenobiotica. 2000;30:317–326. doi: 10.1080/004982500237703. [DOI] [PubMed] [Google Scholar]
- 39.Schantz M, Erk T, Richling E. Metabolism of green tea catechins by the human small intestine. Biotechnol J. 2010;5:1050–1059. doi: 10.1002/biot.201000214. [DOI] [PubMed] [Google Scholar]
- 40.Lee HC, Jenner AM, Low CS, Lee YK. Effect of tea phenolics and their aromatic fecal bacterial metabolites on intestinal microbiota. Res Microbiol. 2006;157:876–884. doi: 10.1016/j.resmic.2006.07.004. [DOI] [PubMed] [Google Scholar]
- 41.van Dorsten FA, Daykin CA, Mulder TP, van Duynhoven JP. Metabonomics approach to determine metabolic differences between green tea and black tea consumption. J Agric Food Chem. 2006;54:6929–6938. doi: 10.1021/jf061016x. [DOI] [PubMed] [Google Scholar]
- 42.Long LH, Kirkland D, Whitwell J, Halliwell B. Different cytotoxic and clastogenic effects of epigallocatechin gallate in various cell-culture media due to variable rates of its oxidation in the culture medium. Mutat Res. 2007;634:177–183. doi: 10.1016/j.mrgentox.2007.07.009. [DOI] [PubMed] [Google Scholar]
- 43.Miene C, Weise A, Glei M. Impact of polyphenol metabolites produced by colonic microbiota on expression of COX-2 and GSTT2 in human colon cells (LT97) Nutr Cancer. 2011;63:653–662. doi: 10.1080/01635581.2011.552157. [DOI] [PubMed] [Google Scholar]
- 44.Bai HW, Shim JY, Yu J, Zhu BT. Biochemical and molecular modeling studies of the O-methylation of various endogenous and exogenous catechol substrates catalyzed by recombinant human soluble and membrane-bound catechol-O-methyltransferases. Chem Res Toxicol. 2007;20:1409–1425. doi: 10.1021/tx700174w. [DOI] [PubMed] [Google Scholar]
- 45.Nagai M, Conney AH, Zhu BT. Strong inhibitory effects of common tea catechins and bioflavonoids on the O-methylation of catechol estrogens catalyzed by human liver cytosolic catechol-O-methyltransferase. Drug Metab Dispos. 2004;32:497–504. doi: 10.1124/dmd.32.5.497. [DOI] [PubMed] [Google Scholar]
- 46.Zhu BT, Wang P, Nagai M, Wen Y, Bai HW. Inhibition of human catechol-O-methyltransferase (COMT)-mediated O-methylation of catechol estrogens by major polyphenolic components present in coffee. J Steroid Biochem Mol Biol. 2009;113:65–74. doi: 10.1016/j.jsbmb.2008.11.011. [DOI] [PMC free article] [PubMed] [Google Scholar]