J Pharm Pharmaceut Sci (www.cspscanada.org) 9(1):101-112, 2006

Contribution of Polymorphisms in UDP-Glucuronosyltransferase and CYP2D6 to the Individual Variation in Disposition of Carvedilol

Yoh Takekuma1, Toru Takenaka2, Masami Kiyokawa2, Koujiro Yamazaki2, Hiroshi Okamoto3, Akira Kitabatake3, Hiroyuki Tsutsui3, Mitsuru Sugawara2

1Department of Clinical Pharmaceutics and Therapeutics, Graduate School of Pharmaceutical Science, Hokkaido University, Sapporo, Japan

2Department of Pharmacy, Hokkaido University Hospital, Sapporo, Japan

3Department of Cardiovascular Medicine, Hokkaido University Hospital, Sapporo, Japan

Received 17 December 2005, Revised 22 February 2006, Accepted 23 February 2006, Published 1 March  2006.

 

Corresponding Author: Yoh Takekuma, Department of Clinical Pharmaceutics and Therapeutics, Graduate School of Pharmaceutical Science, Hokkaido University, Kita-12-jo, Nishi-6-chome, Kita-ku, Sapporo 060-0812, Japan. y-kuma@pharm.hokudai.ac.jp

 

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ABSTRACT PURPOSE. It has been reported that carvedilol, which has beta-adrenergic blocking and vasodilating activities, is mainly metabolized by UDP-glucuronosyltransferase (UGT) 1A1, UGT2B4, UGT2B7 and CYP2D6. The aim of this study was to determine whether the activity of glucuronidation has an influence on the area under the curve (AUC) of carvedilol and whether polymorphisms in UGTs and CYP2D6 contribute to individual variation in disposition of carvedilol in Japanese. METHODS. Plasma concentrations of carvedilol and its glucuronide were determined by reversed-phase high-performance liquid chromatography (HPLC). Genotyping of UGT1A1, UGT2B4 and UGT2B7 genes was carried out by the direct sequence method. CYP2D6 genotyping was carried out using an amplification refractory mutation system (ARMS) assay and PCR-restriction fragment length polymorphism (RFLP). RESULTS. The level of carvedilol glucuronidation ability in the high-level AUC group was significantly lower than that in the low-level group. The frequencies of UGT1A1*6, UGT2B7*3 and CYP2D6*10 in the low level ability of glucuronidation group were significantly higher than those in the high level group, and the same tendency was found in the frequency of CYP2D6*5, though there was no significant difference. CONCLUSION. Polymorphisms of UGT1A1, UGT2B7 and CYP2D6 strongly affect the pharmacokinetics and disposition of carvedilol in Japanese.

 

INTRODUCTION

Generally, orally administered drugs are absorbed by the small intestine and then metabolized in the liver. Metabolism includes phase I (oxidation, reduction, hydrolysis, etc.) and phase II (conjugation) reactions. The phase I reaction introduces a functional group such as a hydroxyl group onto the molecule or exposes a pre-existing functional group, and the phase II reaction connects the functional group to an endogenous species such as a glucuronic acid. Modified drug molecules are hydrophilic and are excreted into bile and urine. However, some drugs do not undergo the phase I reaction and are conjugated directly. It is possible that individual variations in enzyme activity for conjugation affect the pharmacokinetics of these drugs.

      Carvedilol ((±)-1-carbazol-4-yloxy)-3-[[2-(o­methoxyphenoxy)ethyl]-amino]-2-propanol) has b­adrenergic blocking and vasodilating activities [1, 2]. This drug is used to treat angina pectoris and hypertension and has recently been used to treat chronic heart failure (CHF). However, for treatment of CHF, it is recommended that the dose of carvedilol should be gradually and carefully increased because of its negative inotropic activity [2-5].

      It has been reported that carvedilol is metabolized by both oxidation and conjugation pathways in the liver into various metabolites and that the main pathway is direct glucuronidation of carvedilol because the main metabolite in plasma and urine was found to be the glucuronide of unchanged carvedilol (22% and 32%, respectively) [6, 7]. Three UDP-glucuronosyltransferase (UGT) isoforms have been reported to be capable of conjugating carvedilol into two forms of its glucuronides (G1 and G2) [8]. UGT2B4 formed both glucuronides, whereas UGT1A1 (G2) and UGT2B7 (G1) formed either one. On the other hand, oxidation pathways are mainly catalyzed by CYP2D6 [9]. CYP2D6 is responsible for the formation of 4’-hydroxy carvedilol and 5’-hydroxy carvedilol, and both metabolites are excreted into urine (6.4%) [7]. Therefore, we should not disregard the influence of CYP2D6 in discussing the disposition of carvedilol, although glucuronidation is the major metabolic pathway of carvedilol in humans.

      The aim of this study was to clarify whether polymorphisms in UDP-Glucuronosyltransferase and CYP2D6 contribute to individual variation in disposition of carvedilol.

 

MATERIALS AND METHODS

The study protocol was approved by the Ethics Committee of the Graduate School of Medicine, Hokkaido University. Written informed consent for participation in the study was obtained from all subjects.

Chemicals and regents

(±) -Carvedilol was kindly supplied by Daiichi Pharmaceutical Co. (Tokyo, Japan). Dihydroergotamine was obtained from Sigma-Aldrich (St. Louis, MO). b-glucuronidase was purchased from Wako Pure Chemicals (Osaka, Japan). All other reagents were of the highest grade available.

Patients and blood sampling

Forty-six patients (8 females and 38 males; median age, 65.5 (26-83) years; median body weight, 61.4 (32.0-98.9) kg) with CHF or angina pectoris who were being treated with carvedilol were enrolled in this study. The patients with CHF were classified into New York Heart Association (NYHA) class II-III. The daily doses of carvedilol ranged from 1.25 to 20 mg, and the drug was taken in one or two doses daily. The median creatinine clearance (Ccr) in the patients was 63.0 (15.9-156.6) mL/min. No patients had clinically overt hepatic failure. There were no concomitantly used drugs that have been reported to strongly influence plasma concentration of carvedilol. After a fixed dose of carvedilol had been administered for 6 to 10 days, venous blood samples were collected just before drug administration and at 1, 2, 4, 6, and 10 h after administration.

Determination of carvedilol and its glucuronide

Plasma concentrations were determined by reversed-phase high-performance liquid chromatography (HPLC) with a fluorometric detector. The separation was performed on a GL-Pak Nucleosil 100-5C8 (4.6 mm I.D. x 250 mm) column (GL Science Inc., Tokyo, Japan). The mobile phase was a mixture of acetonitrile and 50 mM potassium dihydrogenphosphate (28:72) containing a final concentration of 5 mM tetra-n-butylammonium chloride. The flow rate was 1.0 mL/min and column temperature was 40șC. Excitation and emission wavelengths of 240 nm and 340 nm, respectively, were used for fluorometric detection. For the determination of unchanged carvedilol in plasma, 200 L of a sample was mixed with 2 mL of 1 M sodium hydroxide and 200 mL of dihydroergotamine solution (20 mg/mL in methanol) as an internal standard and then vortexed for 20 sec. Five mL of diethyl ether was added to the mixture, and the mixture was shaken for 20 min. After centrifugation at 1,800 x g for 5 min, the upper organic layer (4 mL) was evaporated to dryness. The residue was reconstituted with 200 mL of the mobile phase and 40 mL of them were injected into the HPLC system. The lower limit of quantitation for carvedilol was 0.5 ng/mL. Coefficients of variation were 2.62% and 9.38% at 50 ng/mL and 0.5 ng/mL, respectively (n = 5). Determination of carvedilol glucuronide was done after converting the glucuronide to parent carvedilol by b-glucuronidase; that is, 200 mL of plasma was mixed with 20 mL of b-glucuronidase solution (98,000 units/mL) and then incubated at 46șC for 1.5 h. After the reaction, total carvedilol was determined as described above. The concentration of the glucuronide was calculated by subtracting the concentration of the unchanged form from the total concentration. The area under the curve (AUC0-10) was calculated from the plasma concentration of carvedilol or its glucuronide using the linear trapezoidal rule.

Genotyping

We obtained written informed consent from 40 of 66 patients and genotyped their UGTs and CYP. Genomic DNA was prepared using standard methods. The exons of UGT1A1, UGT2B4 and UGT2B7 genes (containing the promoter region of UGT1A1) in 40 patients from whom written informed consents were obtained for genotyping were sequenced.

      Each exon was amplified from genomic DNA (20-60 ng) using 0.5 units of Ex-Taq (Takara Bio Inc., Shiga, Japan) with 1 mM of the primers shown in Table 1.

 

Table 1. Primers for amplification and sequencing of UGT1A1, UGT2B4 and UGT2B7.

Gene

Use

Site

Direction

Primer Name

Sequence

 

UGT1A1

Amplification

Exon1

Forward

TA-F

5'-AAGTGAACTCCCTGCTACCTT-3'

 

 

 

 

Reverse

E1-R

5'-GCTTGCTCAGCATATATCTGGG-3'

 

 

Exon2-4

Forward

E2-F1

5'-CTCTATCTCAAACACGCATGCC-3'

 

 

 

Reverse

E2-R

5'-TTTTATCATGAATGCCATGACC-3'

 

 

Exon5

Forward

E5-F

5'-GAGGATTGTTCATACCACAGG-3'

 

 

 

 

Reverse

E5-R

5'-GCACTCTGGGGCTGATTAAT-3'

 

 

Sequence

Exon1

Reverse

UGT1A1e1seq1R

5'-ATGTTCTTCACCCGCTGC-3'

 

 

 

 

Forward

E1-F2

5'-GAAGACGTACCCTGTGCCATT-3'

 

 

 

Exon2

Reverse

UGT1A1e2seq1

5'-AATCATAGTCTTAAGAGG-3'

 

 

 

Exon3-4

Forward

E2-F2

5'-CCTTCAGAGGACCCCTGTTTT-3'

 

 

 

Exon5

Reverse

UGT1A1e5seq1R

5'-GCAAAGTATTTCCTTAATAAG-3'

 

UGT2A4

Amplification

Exon1

Forward

UGT2B4e1-F

5'-GGCAGGTGCCTGTCTGTAGT-3'

 

 

 

 

Reverse

UGT2B4e1-R

5'-CAAAAATACCCCACTACCCTGA-3'

 

 

Exon2

Forward

UGT2B4e2-F

5'-TCTCTCACCACTTTGCCTTTC-3'

 

 

 

 

Reverse

UGT2B4e2-R

5'-CCACTTCCACCTTTCTTCCA-3'

 

 

 

Exon3

Forward

UGT2B4e3-F

5'-GACCCTTAACAGAGGCAACC-3'

 

 

 

 

Reverse

UGT2B4e3-R

5'-TGGGTTCTTTACAAACTTTAACAGC-3'

 

 

Exon4-5

Forward

UGT2B4e4-5-F

5'-TGAACTTTTCATTGATTATCTTATTTG-3'

 

 

 

Reverse

UGT2B4e4-5-R

5'-TTCTTTCGAAATCAGTCGCTTA-3'

 

 

Exon6

Forward

UGT2B4e6-F2

5'-TTTACTGGAGACGGGGTGAC-3'

 

 

 

 

Reverse

UGT2B4e6-R2

5'-GTTGAAGCACGATGCACAAT-3'

 

 

Sequence

Exon1

Reverse

UGT2B4e1seq1R

5'-GGAACAGAAGTCCTCCACTA-3'

 

 

 

 

Forward

UGT2B4e1seq2

5'-TGAAGTTTATCCTGTATC-3'

 

 

 

Exon2

Forward

UGT2B4e2seq

5'-ACAAACACTTTGCCTACA-3'

 

 

 

Exon3

Reverse

UGT2B4e3seq

5'-CCTGATAAAACTTGATTTTCTC-3'

 

 

Exon4

Forward

UGT2B4e4seq

5'-TATTTACATCAGTCTGAG-3'

 

 

 

Exon5

Forward

UGT2B4e5seq

5'-TTAATTCAGTTCAGTGTG-3'

 

 

 

Exon6

Forward

UGT2B4e6seq

5'-TGATCTCCTGACCTCGTG-3'

 

UGT2A7

Amplification

Exon1

Forward

UGT2B7e1-F

5'-TTGTCTCTTTGCCATCCACA-3'

 

 

 

 

Reverse

UGT2B7e1-R

5'-CAAAACCCCACTACCCTGAC-3'

 

 

 

Exon2

Forward

UGT2B7e2-F2

5'-GATATTTGCCTACATTTTTGCC-3'

 

 

 

Reverse

UGT2B7e2-R2

5'-CCCTTTGTAAATATTATTTGATTGG-3'

 

 

Exon3

Forward

UGT2B7e3-F

5'-AAAAACTGAGTGATTGGGTCAG-3'

 

 

 

Reverse

UGT2B7e3-R

5'-TCCACACCAGTAAGGCACTTC-3'

 

 

 

Exon4

Forward

UGT2B7e4-F

5'-GTTGGCCACACGTAGGTTTT-3'

 

 

 

 

Reverse

UGT2B7e4-R

5'-ACATTTTGTTTTTCCTTAACAAAT-3'

 

 

Exon5

Forward

UGT2B7e5-F

5'-TCACACACACCGTATAGCCTTC-3'

 

 

 

Reverse

UGT2B7e5-R

5'-AAAAAGGATGAAACTCACACTCA-3'

 

 

Exon6

Forward

UGT2B7e6-F2

5'-AGCCCTTAAAAGGGACAGGA-3'

 

 

 

 

Reverse

UGT2B7e6-R2

5'-CAGTGGACTTCTTAATGATCTTGTG-3'

 

Sequence

Exon1

Forward

UGT2B7e1seq1

5'-CTCAGACTGTTGATTTAA-3'

 

 

 

 

Forward

UGT2B7e1seq2

5'-TACAGGAAATCATGTCAA-3'

 

 

 

Exon2

Reverse

UGT2B7e2seqR2

5'-ACTCATAAAACTCATATACGTGTGA-3'

 

 

Exon3

Forward

UGT2B7e3seq

5'-AATTCCTCAAAATACTGG-3'

 

 

 

Exon4

Forward

UGT2B7e4seq

5'-CTTATTTACTAACATCCC-3'

 

 

 

Exon5

Forward

UGT2B7e5seq

5'-AAGTACGTGTTTTTTCCT-3'

 

 

 

Exon6

Forward

UGT2B7e6seq

5'-TGAGAGAGGAGTCTTGCC-3'

 

 

The conditions of polymerase chain reaction (PCR) were as follows: denaturation at 94șC for 5 min, followed by 30 cycles comprising denaturation at 94șC for 30 sec, annealing at 54-64șC for 10 to 30 sec, and extension at 72șC for 30 to 80 sec, and then a final extension at 72șC for 7 min. The PCR products were treated by ExoSap-IT (Takara Bio Inc.) at 37șC for 15 min and at 80șC for 15 min to degrade the excess primers and dNTP. The products were directly sequenced with the primers listed in Table 1 using a Big Dye Terminator Cycle Sequencing Kit (Applied Biosystems, Foster City, CA) according to the manufacturer’s recommended protocol.

      For CYP2D6 variants, the same 40 patients were genotyped. Mutant alleles that have been reported to have high frequencies in the Japanese population were selected in this study [10]. Genotyping of CYP2D6*5 (deletion of the CYP2D6 allele) was carried out using an amplification refractory mutation system (ARMS) assay as described by Johansson et al. [11] and Steen et al. [12] with minor modification. Genotyping of 100C>T (common SNP to CYP2D6*4, *10, *14, *36, *37, *47 and *49) was carried out using the ARMS assay as described by Johansson et al. [13]. Then samples that had the 100T allele were genotyped on CYP2D6*4 and CYP2D6*14. Genotyping of CYP2D6*4 was carried out using the ARMS assay as described by Heim et al. [14]. Genotyping of CYP2D6*14 was carried out using the PCR-restriction fragment length polymorphism (RFLP) assay as described by Wang et al. [15]. In this study, subjects with 100C>T mutation were classified into CYP2D6*10 except for CYP2D6*4 and *14 because frequencies of CYP2D6*18, *21, *36, *37, *47 and *49 are rare in the Japanese population [10].

Statistical analysis

Data are expressed as mean ± SD. Differences in the ability of glucuronidation between low and high level AUC groups were measured using student’s t-test. Differences between allele frequencies in the two groups were measured using Fisher’s exact test. Correlation between the numbers of mutant alleles and the ability of glucuronidation was analyzed using Spearman’s rank correlation test. A p value below 0.05 was considered statistically significant.

 

RESULTS

Pharmacokinetics property of carvedilol

Plasma concentrations of carvedilol and its glucuronide in the 46 patients were determined, and 66 profiles of AUC0-10 were obtained. Pharmacokinetic parameters are listed in Table 2.

 

Table 2. Pharmacokinetic parameters of carvedilol in tested patients.

Groups of usage

Normalized AUC (hr/kL)

Cmax/dose
(kL-1)

tmax
(h)

t1/2
(h)

Once a day
(n = 17)

17.8±22.6

3.35±3.79

3.23±1.02

2.99±1.30

Twice a day
(n = 49)

28.7±23.8

4.95±4.20

3.49±1.95

6.32±5.75

Normalized AUC: ratio of AUC0-10 to dose of carvedilol.

Data are given as means±SD.

 

No difference was found between the tested subjects and Japanese healthy subjects in tmax and t1/2 [16]. However, ratios of AUC0-10 to dose of carvedilol (normalized AUC) and Cmax/dose in the subjects were higher than those in Japanese healthy subjects [16].

      Normalized AUCs of each subject are shown in Figure 1.

      The range of normalized AUCs was very wide in both the once a day and twice a day group (2.69-85.1 and 2.83-108.9, respectively) and it was independent of dose. It was ascertained whether individual variation of ability to glucuronidate was responsible for this individual variation of normalized AUCs. In general, the ratio of metabolite to parent drug AUC is used as indicator of metabolization ability. However, in this study, we defined the metabolic index (MI) as follows because clearance of carvedilol glucuronide depends on renal function:

MI = (AUC glucuronized x Ccr) / AUC unchanged,       (1)

where AUC glucuronized and AUC unchanged are AUC of glucuronized carvedilol and AUC of unchanged carvedilol, respectively and Ccr is creatinine clearance.

 

 

Figure 1: Distribution of ratios of AUC0-10 to dose of carvedilol (normalized AUC) at each dose in the patients taking carvedilol. The top graph is the group of twice a day (n=49) and bottom graph is the group of once a day (n=17).

 

The subjects were classified into low and high level normalized AUC groups, and the metabolic indexes in these two groups were compared (Figure 2).

 

 

Figure 2: Comparison of the ability of carvedilol glucoronidation in the low and high level AUC groups. MI value: ratio of carvedilol glucuronide to unchanged carvedilol AUCs which was multiplied by creatinine clearance. Each column represents the mean with SD. *; p<0.001.

 

In the twice a day group, MI value was significantly lower in the high level AUC group than in the low level AUC group (p<0.01). In the once a day group, the same tendency was found, but though there was no significant difference.

Genotyping

Genotyping of UGT1A1, UGT2B4, and UGT2B7 in the 40 patients that gave written informed consent for genotyping was carried out. For reference sequences, AF297093 was used for UGT1A1, and NT_077444.2 (GenBank accession numbers) was used for UGT2B4 and UGT2B7.

      Table 3 shows the results of genotyping. The subjects were classified into low and high level MI groups. DNA sequence analysis confirmed the presence of variants of UGT1A1*6 (211G>T, G71R), UGT1A1*28 (A (TA) 6TAA to A (TA) 7TAA), UGT2B7*2 (802C>T, H268Y) and UGT2B7*3 (211G>T, A71S) in UGT2B7. In UGT2B4, no SNP was found except for a silent mutation (1212A>T).

      Frequencies of UGT1A1 and UGT2B7 alleles in the 40 subjects are shown in Table 4. No significant differences were found between low and high level MI groups with UGT2B7*2. However, the frequencies of UGT1A1*6, UGT1A1*28 and UGT2B7*3 were significantly different between the two groups. The frequencies of UGT1A1*6 and UGT2B7*3 in the low level MI group were higher than those in the high level MI group, but the frequency of UGT1A1*28 in the low level MI group was lower than that in the high level MI group.

      As shown in Tables 3 and 4, genotyping for four CYP2D6 alleles was carried out in the same 40 patients genotyped for UGT. Variants of CYP2D6*4, *5 and *10 were detected. Only one subject had the CYP2D6*4 allele. The frequency of CYP2D6*10 in the low level MI group was two-times higher than that in the high level group, and the same tendency was found in the frequency of CYP2D6*5, though there was no significant difference.

      Figure 3 shows the relation between numbers of mutant alleles except for UGT2B7*2 and MI values. One CYP2D6*5 or *4 allele is counted as two alleles because both alleles lack catalytic activity and it is thought that influence of those alleles on metabolic activity is greater than that of the other alleles. MI values showed a tendency to decrease with increase in the number of mutant alleles. (p<0.001).

 

DISCUSSION

This is the first study to demonstrate the relationship between polymorphisms of UGTs and CYP2D6 and disposition of carvedilol at the same time. Our results indicated large variations in the normalized AUC of carvedilol. These variations were found in all groups of patients receiving carvedilol of doses of 1.25 mg to 10 mg (Figure 1).

 

Table 3. Results of genotyping in the 40 patients.

 

Low level of glucuronidation ability

 

 

High level of glucuronidation ability

 

Subjects

Ability of glucuronidation

UGT1A1

UGT2B4

UGT2B7

CYP2D6

Subjects

Ability of glucuronidation

UGT1A1

UGT2B4

UGT2B7

CYP2D6

A

3.5

*1/*28

*1/*1

*2/*3

*1/*10

a

86.5

*1/*28

*1/*1

*1/*2

*1/*1

B

5.1

*1/*1

*1/*1

*1/*2

*10/*10

b

90.1

*1/*28

*1/*1

*1/*1

*1/*1

C

10.5

*1/*6

*1/*1

*1/*1

*5/*10

c

92.2

*1/*1

*1/*1

*1/*2

*1/*10

D

10.6

*1/*6

*1/*1

*1/*1

*10/*10

d

100.5

*1/*28

*1/*1

*1/*2

*1/*1

E

17.0

*1/*1

*1/*1

*1/*3

*1/*5

e

107.9

*1/*28

*1/*1

*1/*1

*1/*5

F

18.7

*1/*6

*1/*1

*1/*3

*1/*1

f

117.5

*1/*1

*1/*1

*2/*3

*1/*10

G

24.7

*1/*1

*1/*1

*1/*2

*10/*10

g

119.5

*6/*28

*1/*1

*1/*1

*1/*1

H

25.6

*1/*6

*1/*1

*1/*2

*10/*10

h

126.6

*1/*28

*1/*1

*1/*1

*1/*1

I

26.1

*1/*6

*1/*1

*3/*3

*1/*10

I

139.8

*1/*1

*1/*1

*1/*1

*4/*10

J

28.2

*6/*6

*1/*1

*1/*1

*1/*1

j

140.8

*1/*1

*1/*1

*2/*3

*1/*1

K

34.8

*1/*6

*1/*1

*2/*3

*1/*10

k

143.2

*1/*28

*1/*1

*2/*2

*1/*10

L

38.3

*1/*6

*1/*1

*1/*1

*1/*10

l

157.9

*1/*1

*1/*1

*1/*2

*1/*1

M

40.7

*1/*1

*1/*1

*1/*2

*1/*10

m

223.1

*1/*28

*1/*1

*1/*2

*1/*10

N

41.0

*1/*28

*1/*1

*1/*2

*1/*1

n

240.9

*1/*1

*1/*1

*2/*2

*1/*1

O

46.8

*1/*1

*1/*1

*2/*2

*1/*5

o

269.3

*1/*1

*1/*1

*2/*3

*1/*1

P

49.1

*1/*6

*1/*1

*1/*2

*1/*10

p

387.9

*1/*1

*1/*1

*1/*2

*1/*10

Q

56.0

*1/*1

*1/*1

*3/*3

*1/*1

q

504.4

*1/*1

*1/*1

*1/*2

*1/*10

R

65.1

*1/*6

*1/*1

*2/*3

*1/*10

 

 

 

 

 

 

S

73.6

*1/*6

*1/*1

*1/*1

*1/*10

 

 

 

 

 

 

T

77.5

*1/*28

*1/*1

*2/*3

*1/*10

 

 

 

 

 

 

U

82.9

*1/*6

*1/*1

*1/*2

*10/*10

 

 

 

 

 

 

V

84.0

*1/*6

*1/*1

*1/*1

*1/*10

 

 

 

 

 

 

W

86.1

*1/*1

*1/*1

*3/*3

*1/*10

 

 

 

 

 

 

 

 

Table 4. Comparison of allele frequencies in subjects with low and high levels of glucuronidation ability.

 

Low level of glucuronidation ability

High level of glucuronidation ability

Allele

No. of alleles

% of allele

No. of alleles

% of allele

UGT1A1*1

29

63.0

25

73.6

UGT1A1*6#

14

30.5

1

2.9

UGT1A1*28#

3

6.5

8

23.5

UGT2B7*1

21

45.6

17

50.0

UGT2B7*2

13

28.3

14

41.2

UGT2B7*3#

12

26.1

3

8.8

CYP2D6*1#

15

45.7

25

73.6

CYP2D6*4

0

0

1

2.9

CYP2D6*5

3

6.5

1

2.9

CYP2D6*10#

22

47.8

7

20.6

#; p<0.05

 

 

 

 

 

 

 

Figure 3: Relationship between numbers of mutant alleles except for UGT2B7*2 and ability of carvedilol glucoronidation. One CYP2D6*5 or *4 allele is counted as two alleles because both alleles lack catalytic activity. M1 values: ratio of carvedilol glucoronide to unchanged carvedilol AUCs which was multiplied by creatinine clearance. Each column represents the mean with SD. Significant correlation by Spearman’s rank correlation (p<0.001).

 

None of the patients receiving doses of more than 15 mg had particularly high AUC. Since the dose of carvedilol in patients who showed reductions in blood pressure and heart rate was not increased, patients administered such a high dose of carvedilol may not a show high plasma concentration. Normalized AUC in the present study (2.69-85.1 hr/kL in the once a day group) was much higher than that in healthy adults (2.56-15.0 hr/kL) reported by Neugebauer et al. [6]. It has been reported that plasma concentrations of carvedilol were increased in patients with CHF compared with concentrations in healthy volunteers (50-100% higher values in patients with NYHA class CHF) [17]. The increase in plasma concentration is thought to be caused by a reduction in uptake of carvedilol to the liver accompanied by a decrease in the bloodstream.

      However, this cannot account for our results because some of the AUC values in the present study were six-times higher than those in healthy adults, whereas patients with CHF show values only 3-4 times higher than those in healthy adults.

      Figure 2 shows that MI, an indicator of the ability of glucuronidation of carvedilol, was associated with normalized AUC. In twice a day group, the MI value was significantly lower in the high level AUC group than in the low level AUC group (p<0.01). In once a day group, the same tendency was found, though there was no significant difference because the number of subjects was too small. These results suggest that the ability of glucuronidation affects the AUC of carvedilol, in accordance with results of previous studies showing that the main metabolic pathway is glucuronidation of carvedilol [6, 7].

      Ohno et al. [8] showed by using a recombinant UGT assay that UGT1A1, UGT2B4 and UGT2B7 are responsible for glucuronidation of carvedilol. Therefore, these three UGT isoforms were sequenced in the 40 patients to determine whether polymorphisms of these genes are responsible for the variation in the ability of glucuronidation of carvedilol. No missense mutation in UGT2B4 was found in the 40 patients (Table 3).

      Only a few mutations in UGT2B4, namely, UGT2B4*2 (1374T>A, D458E), *3 (325T>T and 1186T>C, F109L and F369L), *4 (1364A>G, K455R) and *5 (1531T>C, C511R), have been reported [18-20]. The frequencies of the UGT2B4*2 allele in Caucasian and African populations have been reported to be 20.0% and 15.0%, respectively, by Lampe et al. [21] and Riedy et al. [22]. However, this mutation in Japanese is rare [20]. Our results are in agreement with those reports. In UGT1A1, many variant alleles have been reported  (http://som.flinders.edu.au/FUSA/ClinPharm/UGT/). In this study, UGT1A1*6 (211G>A, G71R) and *28 (A (TA) 6TAA to A (TA) 7TAA) were detected. Of the 40 patients in this study, the genotypes of UGT1A1*6 were homozygous in 1 patient and heterozygous in 13 patients. All of them except for one patient were in the low level MI group (Table 3).

      The frequency of this mutation in Japanese has been reported to be 13-16% [23, 24]. Yamamoto et al. [25] reported that the catalytic activity level of the UGT1A1 enzyme was reduced to 30% in subjects with a homozygote for the UGT1A1*6 allele. Therefore, UGT1A1*6 was thought to reduce the activity of carvedilol glucuronidation. The allele frequency of UGT1A1*28 in the 40 patients was 13.7%. This finding is in agreement with results of previous studies [24, 26, 27]. However, the allele frequency of UGT1A1*28 in the high level MI group was higher than that in the low level MI group (Table 4).

      UGT1A1*28 has been reported to be associated with a 20-80% reduction in gene expression [28, 29]. Our results do not reflect these reports. On the other hand, it has reported that a homozygote for UGT1A1*28 reduced the activity of estradiol glucuronidation in microsomes from the human liver to 23%, whereas a heterozygote reduced the ability to 82% [30]. All of the subjects with UGT1A1*28 in this study were heterozygous. Therefore, it is thought that a heterozygote for UGT1A1*28 had little effect of carvedilol glucuronidation. As for UGT2B7, UGT2B7*2 (802C>T, H268Y) and *3 (211G>T, A71S) were found in this study (Tables 3 and 4). UGT2B7*2 was the most frequently found variant allele in Japanese in previous studies [20, 31]. Although no remarkable functional difference between UGT2B7*1 and UGT2B7*2 alleles was found in several studies [32-35], one study has shown that subjects who had a UGT2B7*2 allele showed a significantly higher morphine-6-O-glucuronide / morphine ratio than did subjects with UGT2B7*1 [36]. Our results showed that there was no significant difference between the low and high level MI groups in the allele frequency of UGT2B7*2 (Table 4). On the other hand, the frequency of UGT2B7*3 in the low level MI group was significantly higher than that in the high level group. UGT2B7*3 has been reported by Hirota et al. [31] and Saeki et al. [20]. The effect of this allele on catalytic activity is still unknown. Our results suggest that UGT2B7*3 allele reduces the activity of carvedilol glucuronidation. Therefore, it is possible that UGT1A1*6 and UGT2B7*3 are responsible for the low level of glucuronidation activity of carvedilol.

      With regard to CYP2D6 as an oxidative enzyme, the frequencies of CYP2D6*4, *5 and *10 in the 40 patients were 1.25%, 5.0% and 36.3%, respectively. These results are in agreement with results of previous study [10]. The frequency of CYP2D6*10 in the low level MI group was two-times higher than that in the high level group, and the same tendency was found in the frequency of CYP2D6*5, though there was no significant difference.

      The AUC of R (+)-carvedilol in patients who were poor metabolizers of debrisoquin (an indicator of low level of CYP2D6 activity) was 2.56-times higher than that of R (+)-carvedilol in patients who were extensive metabolizers of debrisoquin. In contrast, the AUC of S (-)-carvedilol in poor metabolizers of debrisoquin and that in extensive metabolizers of debrisoquin were similar [37]. Honda et al. reported of effect of CYP2D6*10 on the pharmacokinetics of R- and S-carvedilol in healthy Japanese [38]. Accordingly, it is necessary to take polymorphisms of CYP2D6 into consideration when investigating the pharmacokinetics and disposition of carvedilol.

      Although MI is an indicator of carvedilol glucuronidation activity, the frequencies of variant alleles that affect the oxidative catalytic activity of CYP2D6 were different in the low and high level MI groups. One possible reason for this is that reduction of catalytic activity of CYP2D6 leads to an increase in the unchanged carvedilol plasma concentration and AUC as the denominator of MI. On the other hand, the absolute quantity of carvedilol glucuronides does not greatly change. As a result, the MI value as an indicator of glucuronidation ability of carvedilol decreases. It is possible that MI is a good indicator of total metabolic activity of carvedilol including UGT and CYP2D6.

      Figure 3 shows the relation between numbers of mutant alleles except for UGT2B7*2 and MI values. One CYP2D6*5 allele is counted as two alleles because the CYP2D6*5 allele is a whole deletion of the CYP2D6*5 gene and it is thought that the influence of this allele on metabolic activity is greater than that of the other alleles. MI values showed a tendency to decrease with increase in the number of mutant alleles (p<0.001), indicating that polymorphisms of UGT1A1, UGT2B7 and CYP2D6 affect carvedilol disposition in cooperation.

      Giessmann reported that CYP2D6 genotype and intestinal expression of P-glycoprotein (P-gp) and multidrug-resistant protein 2 (MRP2) are the major variables in carvedilol disposition [39]. Our result is agreement with effect of CYP2D6 genotype. However, polymorphism for UGT should be taken into consideration because carvedilol glucuronides are major metabolites. In one mutant allele group, the range of MI values was very wide compared with that in the other groups. The contribution of other metabolic pathways and intestinal expression of P-gp or MRP2 in carvedilol absorption are possible to be the reason for this. Our results demonstrated that individual variations in the disposition of carvedilol, which is metabolized by multiple pathways, are caused not only by the polymorphism for the main enzyme, UGT, but also by another enzymes such as CYP2D6.

 

Conclusions

Forty patients who were being treated with carvedilol were phenotyped and genotyped for UGT1A1, UGT2B4, UGT2B7 and CYP2D6. The allele frequencies of UGT1A1*6, UGT2B7*3 and CYP2D6*10 in the low level MI group were significantly higher than those in the low level MI group. MI values showed a tendency to decrease with increase in the number of mutant alleles. These results suggest that polymorphisms of UGT1A1, UGT2B7 and CYP2D6 strongly affect the pharmacokinetics and disposition of carvedilol.

 

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