Cite this: Metallomics , 2012, 4, 91–100Individual variations in arsenic metabolism in Vietnamese: the association with arsenic exposure and GSTP1 genetic polymorphism Received 16th Augu
Trang 1Cite this: Metallomics , 2012, 4, 91–100
Individual variations in arsenic metabolism in Vietnamese: the association with arsenic exposure and GSTP1 genetic polymorphism
Received 16th August 2011, Accepted 29th September 2011
DOI: 10.1039/c1mt00133g
We investigated the association of As exposure and genetic polymorphism in glutathione
S-transferase p1 (GSTP1) with As metabolism in 190 local residents from the As contaminated
groundwater areas in the Red River Delta, Vietnam Total As concentrations in groundwater
ranged fromo0.1 to 502 mg l1 Concentrations of dimethylarsinic acid (DMAV),
monomethylarsonic acid (MMAV), and arsenite (AsIII) in human urine were positively correlated
with total As levels in the groundwater, suggesting that people in these areas may be exposed to
As through the groundwater The concentration ratios of urinary AsIII/arsenate (AsV) and
MMAV/inorganic As (IA; AsIII+ AsV)(M/I), which are indicators of As metabolism, increased
with the urinary As level Concentration and proportion of AsIIIwere high in the wild type of
GSTP1Ile105Val compared with the hetero type, and these trends were more pronounced in the
higher As exposure group (456 mg l1creatinine in urine), but not in the lower exposure group
In the high As exposure group, AsIII/AsVratios in the urine of wild type of GSTP1 Ile105Val
were significantly higher than those of the hetero type, while the opposite trend was observed for
M/I These results suggest that the excretion and metabolism of IA may depend on both the As
exposure level and the GSTP1 Ile105Val genotype
It is well known that inorganic As (IA) is one of the human
carcinogenic chemicals Contamination by naturally derived IA
in groundwater has been reported in certain areas and has caused
a large number of serious health issues.1–3In such contaminated
areas, skin pigmentation, hyperkeratosis, cancers, and resultant
high mortalities have been caused by the chronic IA exposure in
the local people.4–6On the other hand, large differences in the
sensitivity to IA-related diseases among individuals have been
reported, suggesting its association with individual variations in
IA metabolism.7
Ingested IA is metabolized to methylated arsenicals in the body and then mainly excreted through urine There are two hypotheses regarding IA metabolic pathways;8 oxidative methylation9,10and reductive methylation.11,12In these metabolic pathways, two enzymes, arsenic (+3 oxidation state) methyl-transferase (AS3MT) and glutathione S-methyl-transferase o (GSTO), participate in the methylation and reduction of As compounds, respectively, in a variety of animals including the human.13 GSTs are a family of enzymes that play an important role in detoxification of various xenobiotics by catalyzing the conjugation of hydrophobic and electrophilic compounds with reduced glutathione There are seven classes of GSTs including
a, m, o, p, y, s, and z GSTO1 is involved in the reduction activities of arsenate (AsV), monomethylarsonic acid (MMAV), and dimethylarsinic acid (DMAV).14–16 DMAV reductase activity of GSTO2 is much lower than that of GSTO1.17 Some researchers have reported the relevance of genetic polymorphisms of GSTO1 and O2 to As metabolism
by in vitro assays17–19and in human studies.20–22
It has been suggested that GST p1 (GSTP1) plays a role in the reduction of IA toxicity An in vitro study using SA7 cells (As-resistant Chinese hamster ovary cells) revealed GSTP1 level-dependent resistance of IA.23 Zhou et al (2005) found that GSTP1 prevented IA-induced apoptosis in human lymphoma cell lines by reducing intracellular H2O2 levels.24 There are
a
Center for Marine Environmental Studies (CMES),
Ehime University, Bunkyo-cho 2-5, Matsuyama 790-8577, Japan.
E-mail: iwatah@agr.ehime-u.ac.jp; Fax: +81-89-927-8172;
Tel: +81-89-927-8172
b
Department of Environmental Sciences, Faculty of Science,
Shinshu University, 3-1-1 Asahi, Matsumoto 390-8621, Japan
c
Center for Environmental Technology and Sustainable Development
(CETASD), Hanoi University of Science, Vietnam National
University, T3 Building, 334 Nguyen Trai Street,
Thanh Xuan District, Hanoi, Vietnam
d Department of Legal Medicine, Shimane University Faculty of
Medicine, Enya 89-1, Izumo 693-8501, Japan
e Vietnam Environment Administration (VEA),
Ministry of Natural Resources and Environment (MONRE),
273 Doi Can street, Ba Dinh, Hanoi, Vietnam
Trang 2several single nucleotide polymorphisms (SNPs) in GSTP1
(http://www.ncbi.nlm.nih.gov/SNP/snp_ref.cgi?locusId = 2950)
For the GST activity, the Ile (AA) type of GSTP1 Ile105Val
(rs1695; A to G substitution at nucleotide base 6624 and
isoleucine to valine substitution at amino acid base 105) was
higher than the Val (GG) type in the erythrocyte.25
Several epidemiological studies have recently investigated
the relationships between genetic polymorphisms in GSTP1
and IA-related diseases (Table 1), but the results were not
consistent In the study in As-contaminated areas of West
Bengal, no association of GSTP1 Ile105Val with skin lesion
was observed.26McCarty et al (2007) have reported that there
was no significant difference in the genotype distribution of
GSTP1 Ile105Val between Bangladeshi people with and
without skin lesion.27On the other hand, several studies have
suggested that the Val type of GSTP1 Ile105Val was
associated with increased risks of As-induced skin lesion in
Chinese28and Bangladeshi,29and of atherosclerosis in Taiwanese.30
Wang et al (2007) also reported that the risk increased in Val type
GSTP1 with high As exposure.30 However, Hsu et al (2008)
evaluated the interaction of GSTP1 polymorphism with urinary
transitional cell carcinoma in southwestern Taiwan and found that
the Val type of GSTP1 Ile105Val showed a significantly lower
cancer risk than the Ile type, suggesting that the wild type of
GSTP1 Ile105Val may be sensitive to urinary transitional cell
carcinoma.31
There are few studies evaluating whether GSTP1 Ile105Val
polymorphism influences As metabolism Marcos et al (2006)
revealed that the Val type had higher %DMAVthan the Ile
type, but it was not significant in Chilean.32 Since 2001, we
have investigated As pollution in groundwater and its human
exposure in Vietnam.8,33–43 Recently, we have focused on
the association of genetic polymorphisms in As metabolic
enzymes including GSTP1 with As metabolism and suggested
that the heterozygote of GSTP1 Ile105Val had a higher
metabolic capacity from IA to monomethyl As, while the
opposite trend was observed for the metabolism from AsVto
AsIII.40,41However, the metabolic capacity of As has not been
evaluated in association with GSTP1 Ile105Val polymorphisms
and As exposure levels Inconsistent findings among previous
studies on association of GSTP1 Ile105Val with As metabolic
capacity as well as As-related diseases may partly result from
the joint effects of human As exposure levels and genetic
polymorphisms in GSTP1
The aim of this study is to clarify the association of As
exposure and genetic polymorphism in GSTP1 Ile105Val with
As metabolism as well as their co-interaction Therefore, we
analyzed concentrations of As compounds in the urine and genotyped GSTP1 Ile105Val in residents from As-contaminated groundwater areas in Vietnam Biological factors such as sex, age, body mass index (BMI), and habits of alcohol consumption and smoking were also incorporated to evaluate their contributions to individual variations in IA metabolism
2.1 Samples Samples of well water (n= 64) and human urine (n= 190) and blood (n= 190) were randomly collected from Hoa Hau (HH) and Liem Thuan (LT) in Ha Nam Province in March 200639 and from Thanh Vanh (TV) and THach Hoa (TH) in Ha Tay Province in September 2007 All communes are located in the rural area of the Red River Delta, Vietnam and there are
no other significant sources of As such as mining sites or industries Several houses in HH, LT, and TV had wells equipped with a sand filter system and thus the sand-filtrated groundwater samples (n= 40) were also collected along with unfiltered water samples Usage period of the wells and their depth are shown in Table 2 The informed consent was obtained from all the participants This study has been approved by the Ethical Committee of Ehime University, Japan Information on sex, age, residential years, body height and weight, body mass index (BMI), and smoking and alcohol habits of donors is summarized in Table 2 All samples were kept at 25 1C in a freezer of the Environmental Specimen Bank (es-BANK) in Ehime University44until chemical analyses and genotyping
2.2 Analyses of As Analytical methods for samples collected in 2006 have already been reported in our previous study.39 The methods of As analysis of water, and human urine and blood samples collected in 2007 were briefly summarized below After acidification with concentrated HNO3, total As (TA) in water samples was analyzed with an inductively coupled plasma-mass spectro-meter (ICP-MS; HP-4500, Hewlett-Packard, Avondale, PA, USA) Rhodium was used as an internal standard to correct matrix effects and instrumental drift.39Accuracy of the analytical method was confirmed in good agreement (91–95%) with certified
TA concentration by analyzing a certified reference material, SLRS-4 River Water from the National Research Council Canada (NRCC) In addition, we have participated in an inter-calibration exercise program organized by the Swiss Federal Institute of
Table 1 Associations of GSTP1 Ile105Val polymorphism with endpoints related to As
Taiwan Atherosclerosis High risk in Val type under high As exposure 30
Trang 3Aquatic Science and Technology (Eawag) in the frame of
the ongoing cooperation of Vietnam and Switzerland for
As-related researches Concentration of TA in water samples
is expressed in mg per l
Urinary As compounds including arsenobetaine (AB),
DMAV, MMAV, AsIII, and AsV were separated by a
high-performance liquid chromatograph (HPLC; Shimadzu,
LC10A Series, Kyoto, Japan) equipped with an Inertsil AS
column (15 cm, 2.1 mm i.d.; GL Sciences Inc., Japan) The
column was equilibrated with the mobile phase (10 mM
sodium 1-butanesulfonate, 4 mM tetramethylammonium
hydroxide, 4 mM malonic acid, and 0.5% methanol; pH 3.0
was adjusted with nitric acid) at a flow rate of 0.5 ml min1at
45 1C As internal standard, Rh was added into the buffer The
injection volume was 10 ml Five arsenicals separated by the
column were determined with ICP-MS Ion intensities at m/z
75 (75As), 77 (40Ar37Cl and 77Se), and 103 (103Rh) were
monitored and there was no interference during HPLC/ICP-MS
analysis A certified reference sample, NIES No 18 human urine
that was provided by the National Institute for Environmental
Studies (NIES), Japan, was analyzed to assure the methodological
accuracy Analyzed concentrations of AB and DMAVwere in
good agreement with the certified values (90–106%) In the
present study, sum of all As compounds, inorganic As
(AsIII+ AsV), and AsIII+ AsV+ MMAV+ DMAVdetected
in urine sample are denoted as SA, IA, and IMDA, respectively
Percentages of AB, AsIII, AsV, MMAV, DMAV, IA, and IMDA
to SA in the human urine were denoted as %AB, %AsIII,
%AsV, %MMAV, %DMAV, %IA, and %IMDA, respectively
Urinary creatinine was determined at SRL, Inc (Tokyo, Japan)
and concentrations of As compounds in the urine were expressed
as mg As per g on a creatinine basis Because AsV, IA, and MMAV are metabolized to AsIII, MMAV, and DMAV, respectively, in the human body, concentration ratios of AsIII/AsV(III/V), MMAV/
IA (M/I), and DMAV/MMAV(D/M) were used as an index for each metabolic process of AsV, IA, and MMAV
2.3 Genotyping of GSTP1 polymorphisms Genotyping of GSTP1 followed the methods described in our previous study.40A QIAamp DNA mini kit (Qiagen, Chatworth, CA) was used to extract DNA from whole blood sample The reference sequence of GSTP1 (accession number, AY324387) was based on the DNA Data Bank of Japan (DDBJ) Forward and reverse primers of GSTP1 Ile105Val were 50
-TGAGGGCACAA-GAAGCCCCT-30, respectively DNA was amplified with PCR
in a 10 ml reaction mixture containing GoTaqs
Green Master Mix (Promega, Madison WI, USA) at 55 1C of annealing temperature and then treated with Bsm AI at 37 1C The PCR products were separated in 8% polyacrylamide gel by electro-phoresis (300 V, 15 min) and were detected by silver staining The genotyping was carried out in duplicate The representativeness
of nucleotide sequences for the genotype was confirmed with a Genetic Analyzer (model 310, Applied Biosystems)
2.4 Statistical analyses Together with the data in the present study, analytical data in the water and human urine from HH and TL provided in our previous study39,40were used for statistical analyses StatView
Table 2 Information on water and human samples from Hoa Hau (HH), Liem Thuan (LT), Thanh Vanh (TV), and Thach Hoa (TH) in Vietnam
Groundwater
Used period (years) a 9 (5.5–13) 6 (1–16) 7 (3–12) 6 (3–10) 0.015 c Well depth (m)a 14 (8–16) 15 (12–24) 38 (20–60) 33 (24–50) o0.001 c
TA (mg l 1 ) b 368 (163–502, and 2120 (an outlier)) 1.4 (0.7–6.8) 36.0 (5.5–145) 0.1 ( o0.1–0.5) o0.001 c Filtered water
TA (mg l1)b 18.9 (3.2–143) 2.0 (1.0–4.9) 5.4 (1.5–50.7) — o0.001 c Drinking water e
TA (mg l1) b 50.1 (3.2–486) 1.7 (0.9–4.9) 5.4 (1.5–50.7) 0.1 ( o0.1–0.5) o0.001 c Subjects
Age (years)a 37 (11–60) 34 (11–70) 32 (13–71) 35 (15–60) 40.05c Residential time (years) a 33 (3–60) 31 (6–65) 30 (13–71) 17 (3–45) o0.001 c Height (cm)a 156 (137–173) 150 (121–169) 155 (142–170) 158 (137–171) o0.001 c Weight (kg) a 48 (27–66) 44 (22–67) 46 (32–65) 52 (38–72) 0.001 c
No of alcohol drinker/non-alcohol drinker 14/37 10/39 13/37 13/27 40.05d Urinary SA (mg g:1creatinine) b 92.6 (45.2–365) 97.9 (38.6–397) 63.5 (28.7–115) 43.2 (20.0–96.0) o0.001 c Urinary AB (%) a 22.7 (4.0–56.8) 19.6 (3.1–58.6) 16.0 (0–63.5) 28.3 (3.0–78.1) 0.001 c Urinary DMAV(%)a 55.9 (32.6–77.2) 59.0 (29.1–78.9) 51.8 (26.1–68.6) 44.4 (13.1–68.8) o0.001 c Urinary MMA V (%) a 10.6 (2.9–17.8) 10.0 (4.8–20.9) 11.5 (3.3–20.1) 7.2 (0–15.6) o0.001 c Urinary AsIII(%)a 8.5 (0–20.3) 8.7 (0–19.8) 9.7 (0–30.0) 6.6 (0–16.6) 0.013c Urinary As V (%) a 2.3 (0–11.1) 2.7 (0–11.3) 11.0 (3.1–34.4) 13.5 (0–37.4) o0.001 c
a Arithmetic mean and range b Geometric mean and range c Tukey–Kramer test d w 2 test e In a house equipped with sand filter, filtered water instead of raw groundwater is assumed to be consumed.
Trang 4(version 5.0, SASs
Institute, Cary, NC, USA), PASW Statistics (v 18.0J, SPSS Inc., Chicago, IL, USA), and EXCEL Toukei
(Version 6.05, Esumi Co., Ltd., Tokyo, Japan) were used for the
statistical analyses One half of the value of the respective limits
of detection was substituted for those values below the limits
of detection and used in the statistical analysis Normality of
the distribution of all variables was checked by Kolmogorov–
Smirnov’s one sample test To adapt parametric analyses, the
data, which showed non-normal distribution, were
log-trans-formed Student’s t-test and the Tukey–Kramer test were
conducted to find differences in As levels and compositions
in human urine among locations and the genotype of GSTP1
A w2test was employed for checking sample size distribution in
each group category Relationships between variables were
assessed by the Pearson correlation coefficient To assess the
factors affecting As levels in the urine and metabolic capacity
of As, a stepwise multiple regression analysis was executed In
the regression models, nominal variables such as As exposure
status, sex, alcohol and smoking habits, and genotype of
GSTP1 Ile105Val were transformed to dummy variables
(0 and 1) The multicollinearity of independent variables was
assessed by calculating the variance inflation factor (VIF)
po 0.05 was considered to be statistically significant
Concentration of TA in groundwater
Concentrations of TA in groundwater are shown in Table 2
The range of concentration waso0.1–502 mg l1(one sample
that had 2120 mg l1was regarded as an outlier and removed
from further statistical analysis because the water had large
amounts of particles) A significant regional difference in TA
concentration was observed; HH (geometric mean (GM),
368 mg l1) 4 TV (GM, 36.0 mg l1) 4 LT (GM, 1.4 mg l1) 4
TH (GM, 0.1 mg l1) (po 0.001) 54.7% of all groundwater
samples exceeded the drinking water guideline (10 mg l1)
established by WHO.5 Remarkably, 100% and 95.2% of
groundwater samples from HH and TV had TA concentration
over the guideline value.5These results indicate that
ground-waters from HH and TV are not suitable for drinking
Analyses of relationships between TA concentration and well
depth showed a significant positive correlation in the
ground-water from TV (r= 0.693, p= 0.003), indicating that the
concentration of TA may be higher in the deeper layer of the
aquifer in TV
Several residents have consumed sand-filtered groundwater
in these sampling areas except in TH Concentrations of TA in
the filtered water were in the range of 1.0–143 mg l1(Table 2)
There was a significant (po 0.001) regional difference in TA
concentrations in the filtered water; HH (GM, 18.9 mg l1) 4
TV (GM, 5.4 mg l1) 4 LT (GM, 2.0 mg l1) Through the
sand filtration, TA concentrations in the raw groundwater
from HH and TV significantly reduced (po 0.001) and the
removal efficiencies were 93% in HH and 82% in TV on
arithmetic mean (AM) (Fig 1) However, 80% and 29% of
filtered-water samples from HH and TV were still higher than
the WHO guideline value.5 This result suggests that safe
drinking water is not always obtained by only a sand filter
system and thus, further removal techniques of As from groundwater are required in highly As-contaminated groundwater areas
To evaluate the As exposure status of the residents, we considered the well water, which local people are drinking, as the major source of As Concentration of TA in drinking water was regarded as those in raw groundwater for the houses without a sand-filter system, and as those in filtered water for the houses with the filter system Concentrations of TA in drinking water from HH, TV, LT, and TH are shown in Table 2 The highest As concentration in drinking water was observed in HH (GM, 50.1 mg l1), followed by TV (GM, 5.4 mg l1), LT (GM, 1.7 mg l1), and TH (GM, 0.1 mg l1) and a significant difference was detected among all the four locations (po 0.001) In HH and TV, samples with TA concen-trations exceeding the guideline value for drinking water5were 88% and 29%, respectively Considered that As concentration in the drinking water represents close to the real exposure status
in local residents, potential health risk of people drinking those As-contaminated water is of great concern
Concentration and composition of As compounds in human urine Concentrations of SA and composition of As compounds in the urine of people from HH, TV, TL, and TH are summarized in Table 2 Urinary As was detected in all samples and the range of urinary SA concentrations was from 20.0 to 397 mg g1 creatinine
To understand the exposure level of As in local people through drinking water, relationships between As concentra-tions in drinking water and human urine were assessed As shown in Fig 2, concentrations of DMAV (R2 = 0.118,
po 0.001), MMAV
(R2 = 0.141, po 0.001), and AsIII (R2= 0.068, po 0.001) in human urine were positively correlated with that of TA in drinking water Significant positive correlations between concentrations of TA in drinking water and urinary AsV (R2= 0.028, p = 0.036), IMDA (R2= 0.114, po 0.001), and SA (R2 = 0.088, po 0.001) were also observed (data not shown) These results suggest that the residents in these areas are exposed
to As through the consumption of drinking water and ingested
Fig 1 Concentrations of TAs in raw and sand-filtrated groundwater from Hoa Hau (HH), Thanh Vanh (TV), and Liem Thuan (LT)
in Vietnam Bar indicates each concentration of TA in raw and sand-filtered groundwater.
Trang 5As are metabolized to MMAVand DMAV in the body On
the other hand, concentration of urinary AB, which is
probably derived from fish and shellfish ingestion, showed
no association with the TA level in drinking water (p4 0.05)
(Fig 2)
Among the As compounds detected, DMAV (AM, 53%)
was the most predominant species, followed by AB (AM,
21%), MMAV (AM, 10%), AsIII(AM, 8%), and AsV(AM,
7%) Because As compounds are transformed by reduction
and methylation processes in the human body,9–12
concen-tration ratios of AsIII/AsV (III/V), MMAV/IA (M/I), and
DMAV/MMAV (D/M) in human urine were defined as
metabolic indices for the reduction, first methylation, and
second methylation, respectively In the present study, GM
for III/V, M/I, and D/M were 1.2, 0.7, and 5.4, respectively
Genotype distribution of GSTP1 Ile105Val
Genotyping results of GSTP1 Ile105Val showed no mutation
of the homo type (Val/Val) in this population Genotype
frequency in all donors was 0.68 for AA (Ile/Ile) and
0.32 for AG (Ile/Val), whereas A and G allele frequencies were
0.84 and 0.16, respectively However, the GSTP1 Ile105Val
genotype did not follow the Hardy–Weinberg principle in this
study (p= 0.010) Although the reason remains unclear, we
could confirm no genotyping error by conducting duplicate
analyses of all DNA samples and by sequence analyses of some
representative samples Compared with the allele frequency of
GSTP1Ile105Val in 11 populations published in the HapMap
database (HapMap Data Rel 28 PhaseII +III, August 10, on
NBCI B36 assembly, dvSNP b 126; http://hapmap.ncbi.nlm
nih.gov/cgi-perl/snp_details_phase3?name = rs1695&source =
hapmap28_B36&tmpl = snp_details_phase3), the A allele
frequency (0.84) in Vietnamese detected in this study was
similar to those in Chinese populations (0.816 in Han Chinese
in Beijing, China groups (CHB (H)) and 0.812 in Chinese in
Metropolitan Denver, Colorado (CHD (D)) On the contrary,
allele distribution in Vietnamese in the present study was
largely different from Africans, Europeans, and Americans (0.448–0.701 for A allele frequencies)
Factors influencing As concentration and metabolism in humans
To understand which factors can affect the concentration of
As and its metabolic capacity, a stepwise multiple regression analysis was performed As potential factors, As exposure status, genotype of GSTP1 Ile105Val, sex, age, BMI, alcohol consumption, and smoking habit were taken into considera-tion Before the analyses, the As exposure level was defined by dividing all donors into two categories, high (HA) and low (LA) As exposure groups, based on GM for urinary IMD concentration (56 mg g1 creatinine) No significant bias in sample numbers among As exposure level, genotype of GSTP1 Ile105Val, and sex was validated by a w2test Sex ratios were significantly different in both smoking and alcohol habits, because only a few females had these habits The calculated VIF values of explanatory variables were less than 10, and thus multi-collinearity in the multiple regression analysis was rejected
Results of the multiple regression analyses are listed in Table 3 When all donors were evaluated, As exposure level, genotype of GSTP1 Ile105Val, sex, and BMI were significantly correlated with urinary As concentration and metabolic capacity, with the influence of exposure status being the strongest These results were similar to our previous study.40 Remarkably, the exposure level of As was significantly associated with not only urinary concentrations of As compounds
as expected, but also metabolic indices except for D/M Indicators
of As metabolism such as %DMAV, %MMAV, %AsIII,
%IMDA, III/V, and M/I of HA were higher than those of LA, while the opposite results were observed for %AB, %AsV, and
%IA (Table 3) Comparisons of III/V and M/I between HA and
LA are shown in Fig 3 These results indicate that the metabolism from AsVto AsIIIand from IA to MMAVmay be facilitated by high As exposure level No significant increase in D/M with the
As exposure level implies that 2nd methylation may not be facilitated by high exposure Although decreased %AB could
be explained by increased %DMAV, %MMAV, and %IA with
As exposure, it was not clear why higher concentration of urinary
AB was observed
In all participants, GSTP1 Ile105Val was associated with III/V, M/I, and concentrations of AB, AsIII, IA, IMDA, and
SA Negative correlations between BMI and concentrations of MMAV, AsV, IA, and IMDA in human urine were observed Females had higher %DMAVand D/M than males
Because it was found that the As exposure status signifi-cantly influenced many parameters (Table 3), we repeated the stepwise regression analysis by dividing all donors into
HA and LA to better understand the difference in factors associated with As excretion and metabolic capacity between those groups (Table 4)
Interestingly, it was found that the factors, which could relate to As concentration and metabolism, were different between HA and LA except relationships between sex and D/M (Table 4); D/M in females was significantly higher than that in males regardless of the As exposure level, suggesting a higher methylation capacity from MMAVto DMAVin females
Fig 2 Relationships between concentrations of TA in drinking water
and As compounds (DMA V , MMA V , As III , and AB) in human urine
from Hoa Hau (HH), Thanh Vanh (TV), Liem Thuan (LT), and
Thach Hoa (TH) in Vietnam Dashed line indicates WHO guideline
value (10 mg l1) for drinking water (WHO, 2004).
Trang 6regardless of the As exposure level It has been reported that
the 2nd methylation capacity is higher in females than in males
in most studies.39,45Our results support these previous reports
The present study also showed that %MMAV in males was
significantly higher compared with females in HA A similar
trend was observed for %AsVin LA, although the significant
level was weak The sexual difference in methylation capacity
may be partly associated with an estrogen-related metabolic pathway.45 The mechanism of sexual difference in As metabolism needs more attention in future studies
The GSTP1 Ile105Val hetero type had lower concentrations
of AsIII, IA, and IMDA, and III/V and higher M/I than the wild type in HA, but not in LA (Table 4) For urinary concentration of AsIII(Fig 4), it is suggested that the GSTP1 genotype may be linked with the excretion of AsIIIinto the urine Leslie et al (2004) investigated a transport mechanism
of AsIIIby a multidrug resistance protein 1 (MRP1/ABCC1) using a specific cell line, H69AR over-expressing MRP1 and found that MRP1 can transport AsIII only in the presence of GSH and expression of GSTP1 in the plasma membrane is required for the transportation of AsIII(+GSH).46Zhong et al (2006) reported that in the erythrocyte of the healthy Chinese, the GSTP1 Ile105Val wild type showed a higher catalytic activity than the mutation type.25Considering these reports together, in the higher As exposure group, the GSTP1 Ile105Val wild type might accelerate the conjugation of GSH to AsIIImore than the mutation type and the conjugate may be more efficiently excreted from the cell through the MRP1 transporter Further in vivo and human case studies are needed to verify this hypothesis
Table 3 Stepwise multiple regression analysis of As concentrations and compositions in urine against sex a , age, BMI, alcohol and smoking habitsa, As exposure level, and polymorphism of GSTP1 Ile105Vala
Dependent
variable R2adj p Independent variable b p
Dependent variable R2adj p Independent variable b p
%AB 0.031 0.015 Exposure
(0 = low, 1 = high)
0.193 0.015 AB 0.085 o0.001 Exposure
(0 = low, 1 = high)
0.254 o0.001 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.156 0.027
%DMAV 0.094 o0.001 Exposure
(0 = low, 1 = high)
0.287 o0.001 DMA V
0.564 o0.001 Exposure
(0 = low, 1 = high)
0.753 o0.001 Sex (0 = female, 1 = male) 0.158 0.039
%MMA V 0.028 0.021 Exposure
(0 = low, 1 = high)
0.183 0.021 MMA V 0.410 o0.001 Exposure
(0 = low, 1 = high)
0.613 o0.001
%AsIII 0.016 0.045 Exposure
(0 = low, 1 = high)
0.146 0.045 AsIII 0.258 o0.001 Exposure
(0 = low, 1 = high)
0.472 o0.001 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.173 0.007
%As V 0.080 o0.001 Exposure
(0 = low, 1 = high)
0.293 o0.001 As V 0.039 0.009 BMI 0.188 0.010
Exposure (0 = low, 1 = high)
0.143 0.049
%IA 0.025 0.026 Exposure
(0 = low, 1 = high)
0.177 0.026 IA 0.250 o0.001 Exposure
(0 = low, 1 = high)
0.393 o0.001 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.217 o0.001
%IMDA 0.031 0.015 Exposure
(0 = low, 1 = high)
0.193 0.015 IMDA 0.627 o0.001 Exposure
(0 = low, 1 = high)
0.757 o0.001
GSTP1 Ile105Val (0 = Ile/Ile, 1 = Ile/Val)
0.104 0.021 III/V 0.196 o0.001 Exposure
(0 = low, 1 = high)
0.402 o0.001 SA 0.510 o0.001 Exposure
(0 = low, 1 = high)
0.693 o0.001 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.183 0.019 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.139 0.007 M/I 0.144 o0.001 Exposure
(0 = low, 1 = high)
0.370 o0.001 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.159 0.021 D/M 0.057 o0.001 Sex (0 = female, 1 = male) 0.250 o0.001
a These nominal variables were transformed to dummy variables (0 or 1).
Fig 3 Comparison of III/V and M/I between low (LA) and high As
(HA) exposure groups from Hoa Hau (HH), Thanh Vanh (TV), Liem
Thuan (LT), and Thach Hoa (TH) in Vietnam Data are given as
geometric mean and geometric standard deviation *** indicates
statistical significance at p o 0.001.
Trang 7A lower III/V in the hetero type of GSTP1 Ile105Val than
the wild type in all participants and HA (Table 3 and 4, and
Fig 5) suggest that the heterozygote of GSTP1 Ile105Val
might have a lower reduction capacity from AsVto AsIIIand
this reduction capacity may depend on the As exposure level
Although the reductase activity of AsV by GSTP1 was not
measured, the wild GSTP1 Ile105Val protein has a high
catalytic GST activity compared with the mutation type.25
The hetero type of GSTP1 Ile105Val had higher M/I than
the wild type in all participants and HA (Fig 5) This result
may be associated with the capacity of As transport from cells,
because GSTP1 has no function of As methylation Considering that the GSTP1 Ile105Val hetero type may have less function to
Table 4 Stepwise multiple regression analysis of As concentrations and compositions in urine against sex a , age, BMI, alcohol and smoking habitsa, As exposure statusa, and polymorphism of GSTP1 Ile105Valafor each As exposure level
Dependent
variable R2adj p Independent variable b p
Dependent variable R2adj p Independent variable b p High As exposure
DMA V 0.085 0.005 BMI 0.397 0.001
%MMAV 0.057 0.009 Sex (0 = female, 1 = male) 0.258 0.009 MMAV 0.048 0.016 BMI 0.240 0.016
%As III 0.066 0.006 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.274 0.006 As III 0.126 o0.001 GSTP1
(0 = Ile/Ile, 1 = Ile/Val)
0.367 o0.001
IA 0.179 o0.001 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.377 o0.001
GSTP1 Ile105Val (0 = Ile/Ile, 1 = Ile/Val)
0.242 0.010
III/V 0.068 0.019 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.287 0.019 SA 0.051 0.014 BMI 0.245 0.014 M/I 0.121 0.001 Age 0.264 0.007
GSTP1 Ile105Val (0 = Ile/Ile, 1 = Ile/Val)
0.249 0.010 D/M 0.042 0.024 Sex (0 = female, 1 = male) 0.227 0.024
Low As exposure
AB 0.054 0.016 GSTP1 Ile105Val
(0 = Ile/Ile, 1 = Ile/Val)
0.255 0.016
%DMA V 0.066 0.008 Sex (0 = female, 1 = male) 0.277 0.008 DMA V 0.057 0.013 Sex (0 = female, 1 = male) 0.261 0.013
%AsV 0.035 0.044 Sex (0 = female, 1 = male) 0.214 0.044
%IA 0.038 0.038 BMI 0.220 0.038
D/M 0.133 0.001 Sex (0 = female, 1 = male) 0.298 0.004
a These nominal variables were transformed to dummy variables (0 or 1).
Fig 4 Comparison of As III concentration between the wild and
hetero types of GSTP1 Ile105Val among all participants, and high
(HA) and low As (LA) exposure groups from Hoa Hau (HH), Thanh
Vanh (TV), Liem Thuan (LT), and Thach Hoa (TH) in Vietnam Data
are given as geometric mean and geometric standard deviation ** and
*** indicate statistical significance at po 0.01 and po 0.001,
respectively.
Fig 5 Comparison of III/V and M/I between the wild and hetero types of GSTP1 Ile105Val among all participants, and high (HA) and low As (LA) exposure groups from Hoa Hau (HH), Thanh Vanh (TV), Liem Thuan (LT), and Thach Hoa (TH) in Vietnam Data are given as geometric mean and geometric standard deviation * and ** indicate statistical significance at po 0.05 and po 0.01, respectively.
Trang 8excrete AsIII(IA) (Fig 4), the pathway of methylation from IA
to MMAVmight be more dominant than the excretion in the
hetero type In addition, this may be more likely when people
are exposed to high As In the copper mine workers from Chile,
%DMAVin the Val type of GSTP1 Ile105Val was higher than
that in the Ile type, although the result was not statistically
significant32 (Table 1) Similarly, this study revealed no
association of %DMAVin the GSTP1 Ile105Val genotype
BMI has been used as an indicator of nutritional status or
obesity By using the stepwise regression analyses, BMI had
negative correlations with DMAV, MMAV, IA, IMDA, and
SA concentrations in HA (Table 4) These results suggest two
hypotheses; the exacerbation of nutritional status by As
exposure and the effect of increased body fat on As accumulation
in the high As exposure group Similar results were obtained in
Vietnam in our previous studies.39,40Other studies47–50have
reported the interaction between BMI and metabolic capacity
of As, which was not observed in our studies In the present
study, a negative correlation between BMI and %IA was
found only in LA Increased %DMAV and decreased
%MMAV with an increase in BMI in local residents
were reported from blackfoot disease-hyperendemic areas in
Taiwan47and in European males.48On the other hand, there
are some contradictory reports, indicating no significant
association of BMI with As metabolism.49,50
Age was positively correlated with M/I and concentrations
of DMAVand IMDA only in HA (Table 4) Similar findings
were reported in Vietnamese.39,40Kurttio et al (1998) found a
slight increase of DMAVwith age in adults from Finland.51In
a study of Argentina, %IA decreased with age, but there were
no age-dependent variations in %MMAV, %DMAV, and
D/M.52It has been suggested that children may have a higher
2nd methylation capacity compared to adults.37,53,54However,
no clear associations were detected between age and urinary
D/M or %DMAVin the present study, probably due to small
sample size of children (n= 21 foro 15 years old)
One should notice that adjusted determination coefficients
(R2adj) in the multiple regression equations were moderate
(0.016–0.627), even though the p values were less than 0.001
This suggests that there are other factors that are involved in
As concentration and metabolism of the participants Genetic
polymorphisms of other As metabolic enzymes such as
AS3MT8,39,40,41 and methylenetetrahydrofolate reductase
(MTHFR)48,52,55 may be one of the potential factors In
addition, several SNPs are known in MRP1.56Further studies
are necessary to assess potential effects of these genetic variations
on the metabolism and toxicity of As
This study revealed that both environmental (As exposure
status) and genetic factors (GSTP1 Ile105Val polymorphism)
are significantly associated with the concentration and
metabolism of As in humans Furthermore, it can be suggested
that the association of GSTP1 Ile105Val polymorphism with
As is enhanced under high As exposure This means that it can
be important when association of genetic polymorphisms in
As metabolic enzymes is evaluated in some populations
A proposed mechanism of As metabolism and excretion by GSTP1 Ile105Val is summarized in Fig 6 The wild type (Ile type) of GSTP1 Ile105Val may have a high reductive capacity from AsV to AsIII GSTP1 may conjugate GSH to
AsIII on the membrane and then AsIII-GS may be excreted through MRP1 Since the GSTP1 Ile105Val wild type may have a higher activity than the hetero type, the wild type may efficiently excrete AsIII-GSH compared with the hetero type On the contrary, the hetero type (Val type) of GSTP1 Ile105Val may have a relatively lower reduction activity and excretion and thus the metabolism to MMAVmay be more facilitated These pathways may be accelerated with an increase in the As exposure status in humans To verify these hypotheses, further studies are required to determine (i) whether GSTP1 can reduce from AsIIIto AsVlike GSTO1; (ii) whether GSTP1 can facilitate excretion of AsIIIthrough MRP1; (iii) whether these functions vary among the GSTP1 Ile105Val genotype; and (iv) whether interaction of GSTP1 polymorphism with As excretion and metabolism is influenced by the As exposure level
Abbreviations
AS3MT As (+3 oxidation state) methyltransferase
AsIII arsenite
DMAV dimethylarsinic acid Eawag Swiss Federal Institute of Aquatic Science and
Technology GST glutathione-S-transferase GSTO1 glutathione-S-transferase o 1 GSTO2 glutathione-S-transferase o 2 GSTP1 glutathione-S-transferase p 1
HPLC high performance liquid chromatograph
IA inorganic As Here, As[V]+ As[III]
ICP-MS inductively coupled plasma mass spectrometer III/V AsIII/AsV
IMDA AsIII+ AsV+ MMAV+ DMAV
Fig 6 Suspected pathways of As metabolism and excretion by GSTP1 Ile105Val polymorphism Solid and dashed arrows indicate strong and weak pathways, respectively.
Trang 9M/I MMAV/IA
MMAV monomethylarsonic acid
MRP1 multidrug resistance protein 1
MTHFR methylenetetrahydrofolate reductase
NRCC National Research Council Canada
PCR-RFLP PCR restriction fragment length polymorphism
SNP single nucleotide polymorphism
VIF variance inflation factor
Acknowledgements
We wish to thank Dr A Subramanian, CMES, Ehime
University, Japan for critical reading of the manuscript The
authors express their thankfulness to the staff of the CETASD,
Hanoi University of Science and Dr H Sakai (current
affiliation; Department of Pharmacology, Yamaguchi University
Graduate School of Medicine, Japan), Dr D Imaeda (current
affiliation; IDEA Consultants, Inc.), and Ms H Mizukawa from
CMES for their help in sample collection We also acknowledge
Ms H Touma, Ms N Tsunehiro, and Dr Ogawa, staff of the
es-BANK, CMES for their support in sample management and Ms
Y Fujii, Department of Legal Medicine, Shimane University
Faculty of Medicine, Japan for her technical assistance This
study was supported by Japan Society for the Promotion of
Science (JSPS) for the cooperative research program under the
Core University Program between JSPS and Vietnamese
Academy of Science and Technology (VAST) Financial support
was also provided by grants from Research Revolution 2002
(RR2002) Project for Sustainable Coexistence of Human, Nature
and the Earth (FY2002), Grants-in-Aid for Scientific Research
(S) (No 20221003 and 21221004) and (A) (No 19209025) from
JSPS, and 21st Century and Global COE Programs from the
Ministry of Education, Culture, Sports, Science, and Technology
(MEXT), Japan and JSPS The award of the JSPS Post Doctoral
Fellowship for Researchers in Japan to T Agusa (No 207871) is
also acknowledged
References
1 B K Mandal and K T Suzuki, Arsenic round the world: a review,
Talanta, 2002, 58, 201–235.
2 D K Nordstrom, Public health Worldwide occurrences of arsenic
in ground water, Science, 2002, 296, 2143–2145.
3 P L Smedley and D G Kinniburgh, A review of the source,
behaviour and distribution of arsenic in natural waters, Appl.
Geochem., 2002, 17, 517–568.
4 M Tondel, M Rahman, A Magnuson, I A Chowdhury,
M H Faruquee and S A Ahmad, The relationship of arsenic
levels in drinking water and the prevalence rate of skin lesions in
Bangladesh, Environ Health Perspect., 1999, 107, 727–729.
5 WHO, Guidelines for Drinking Water Quality, World Health
Organization, Geneva, Switzerland, 3rd edn, 2004.
6 M M Wu, T L Kuo, Y H Hwang and C J Chen, Dose–
response relation between arsenic concentration in well water and
mortality from cancers and vascular diseases, Am J Epidemiol.,
1989, 130, 1123–1132.
7 M Vahter, Mechanisms of arsenic biotransformation, Toxicology,
2001, 164, 17.
8 T Agusa, J Fujihara, H Takeshita and H Iwata, Individual
variations in inorganic arsenic metabolism associated with AS3MT
genetic polymorphisms, Int J Mol Sci., 2011, 12, 2351–2382.
9 F Challenger, Biological methylation, Chem Rev., 1945, 36, 315–361.
10 W R Cullen and K J Reimer, Arsenic speciation in the environment, Chem Rev., 1989, 89, 713–764.
11 T Hayakawa, Y Kobayashi, X Cui and S Hirano, A new metabolic pathway of arsenite: arsenic-glutathione complexes are substrates for human arsenic methyltransferase Cyt19, Arch Toxicol., 2005, 79, 183–191.
12 H Naranmandura, N Suzuki and K T Suzuki, Trivalent arsenicals are bound to proteins during reductive methylation, Chem Res Toxicol., 2006, 19, 1010–1018.
13 H V Aposhian and M M Aposhian, Arsenic toxicology: five questions, Chem Res Toxicol., 2006, 19, 1–15.
14 R A Zakharyan and H V Aposhian, Enzymatic reduction of arsenic compounds in mammalian systems: the rate-limiting enzyme of rabbit liver arsenic biotransformation is MMA(V) reductase, Chem Res Toxicol., 1999, 12, 1278–1283.
15 R A Zakharyan, A Sampayo-Reyes, S M Healy, G Tsaprailis,
P G Board, D C Liebler and H V Aposhian, Human mono-methylarsonic acid (MMA(V)) reductase is a member of the glutathione-S-transferase superfamily, Chem Res Toxicol., 2001,
14, 1051–1057.
16 R A Zakharyan, G Tsaprailis, U K Chowdhury, A Hernandez and H V Aposhian, Interactions of sodium selenite, glutathione, arsenic species, and omega class human glutathione transferase, Chem Res Toxicol., 2005, 18, 1287–1295.
17 E M Schmuck, P G Board, A K Whitbread, N Tetlow,
J A Cavanaugh, A C Blackburn and A Masoumi, Characterization
of the monomethylarsonate reductase and dehydroascorbate reductase activities of Omega class glutathione transferase variants: implications for arsenic metabolism and the age-at-onset of Alzheimer’s and Parkinson’s diseases, Pharmacogenet Genomics, 2005, 15, 493–501.
18 T Tanaka-Kagawa, H Jinno, T Hasegawa, Y Makino, Y Seko,
N Hanioka and M Ando, Functional characterization of two variant human GSTO 1-1s (Ala140Asp and Thr217Asn), Biochem Biophys Res Commun., 2003, 301, 516–520.
19 (a) A K Whitbread, N Tetlow, H J Eyre, G R Sutherland and
P G Board, Characterization of the human Omega class glutathione transferase genes and associated polymorphisms, Pharmacogenetics,
2003, 13, 131–144, DOI: 10.1097/01.fpc.0000054062.98065.6e.
20 L L Marnell, G G Garcia-Vargas, U K Chowdhury,
R A Zakharyan, B Walsh, M D Avram, M J Kopplin,
M E Cebrian, E K Silbergeld and H V Aposhian, Polymorphisms
in the human monomethylarsonic acid (MMA V) reductase/hGSTO1 gene and changes in urinary arsenic profiles, Chem Res Toxicol.,
2003, 16, 1507–1513.
21 M M Meza, L Yu, Y Y Rodriguez, M Guild, D Thompson,
A J Gandolfi and W T Klimecki, Developmentally restricted genetic determinants of human arsenic metabolism: association between urinary methylated arsenic and CYT19 polymorphisms in children, Environ Health Perspect., 2005, 113, 775–781.
22 L Paiva, R Marcos, A Creus, M Coggan, A J Oakley and
P G Board, Polymorphism of glutathione transferase Omega 1 in
a population exposed to a high environmental arsenic burden, Pharmacogenet Genomics, 2008, 18, 1–10.
23 J F Lo, H F Wang, M F Tam and T C Lee, Glutathione S-transferase pai in an arsenic-resistant Chinese hamster ovary cell line, Biochem J., 1992, 288, 977–982.
24 L Zhou, Y Jing, M Styblo, Z Chen and S Waxman, Glutathione-S-transferase inhibits As2O3 induced apoptosis in lymphoma cells: involvement of hydrogen peroxide catabolism, Blood, 2005, 105, 1198–1203.
25 S L Zhong, S F Zhou, X Chen, S Y Chan, E Chan, K Y Ng,
W Duan and M Huang, Relationship between genotype and enzyme activity of glutathione S-transferases M1 and P1 in Chinese, Eur J Pharm Sci., 2006, 28, 77–85.
26 P Ghosh, A Basu, J Mahata, S Basu, M Sengupta, J K Das,
A Mukherjee, A K Sarkar, L Mondal, K Ray and A K Giri, Cytogenetic damage and genetic variants in the individuals susceptible
to arsenic-induced cancer through drinking water, Int J Cancer, 2006,
118, 2470–2478, DOI: 10.1002/ijc.21640.
27 K M McCarty, Y C Chen, Q Quamruzzaman, M Rahman,
G Mahiuddin, Y M Hsueh, L Su, T Smith, L Ryan and
D C Christiani, Arsenic methylation, GSTT1, GSTM1, GSTP1 polymorphisms, and skin lesions, Environ Health Perspect., 2007,
115, 341–345.
Trang 1028 G F Lin, H Du, J G Chen, H C Lu, W C Guo, H Meng,
T B Zhang, X J Zhang, D R Lu, K Golka and J H Shen,
Arsenic-related skin lesions and glutathione S-transferase
P1 A1578G (Ile105Val) polymorphism in two ethnic clans exposed
to indoor combustion of high arsenic coal in one village,
Pharma-cogenet Genomics, 2006, 16, 863–871.
29 K M McCarty, L Ryan, E A Houseman, P L Williams,
D P Miller, Q Quamruzzaman, M Rahman, G Mahiuddin,
T Smith, E Gonzalez, L Su and D C Christiani, A case-control
study of GST polymorphisms and arsenic related skin lesions,
Environ Health Global Access Sci Source, 2007, 6, 1–10.
30 Y H Wang, M M Wu, C T Hong, L M Lien, Y C Hsieh,
H P Tseng, S F Chang, C L Su, H Y Chiou and C J Chen,
Effects of arsenic exposure and genetic polymorphisms of p53,
glutathione S-transferase M1, T1, and P1 on the risk of carotid
atherosclerosis in Taiwan, Atherosclerosis, 2007, 192, 305–312.
31 L I Hsu, A W Chiu, S K Huan, C L Chen, Y H Wang,
F I Hsieh, W L Chou, L H Wang and C J Chen, SNPs of
GSTM1, T1, P1, epoxide hydrolase and DNA repair enzyme
XRCC1 and risk of urinary transitional cell carcinoma in
south-western Taiwan, Toxicol.Appl Pharmacol., 2008, 228, 144–155.
32 R Marcos, V Martinez, A Hernandez, A Creus, C Sekaran,
H Tokunaga and D Quinteros, Metabolic profile in workers
occupationally exposed to arsenic: role of GST polymorphisms,
J Occup Environ Med., 2006, 48, 334–341.
33 T Agusa, T Kunito, J Fujihara, R Kubota, T B Minh, P T K.
Trang, A Subramanian, H Iwata, P H Viet and S Tanabe,
Contamination by trace elements in groundwater of Vietnam,
Biomed Res Trace Elem., 2004, 15, 339–341.
34 T Agusa, S Inoue, T Kunito, R Kubota, T B Minh, P T K.
Trang, A Subramanian, H Iwata, P H Viet and S Tanabe,
Widely-distributed arsenic pollution in groundwater in the Red
River Delta, Vietnam, Biomed Res Trace Elem., 2005, 16,
296–298.
35 T Agusa, T Kunito, J Fujihara, R Kubota, T B Minh, P T.
K Trang, H Iwata, A Subramanian, P H Viet and S Tanabe,
Contamination by arsenic and other trace elements in tube-well
water and its risk assessment to humans in Hanoi, Vietnam,
Environ Pollut., 2006, 139, 95–106.
36 T Agusa, R Kubota, T Kunito, T B Minh, P T K Trang, C.
Chamnan, H Iwata, P H Viet, T S Tana and S Tanabe, Arsenic
pollution in groundwater of Vietnam and Cambodia: a review,
Biomed Res Trace Elem., 2007, 18, 35–47.
37 T Agusa, T Kunito, T B Minh, P T K Trang, H Iwata,
P H Viet and S Tanabe, Relationship of urinary arsenic
meta-bolites to intake estimates in residents of the Red River Delta,
Vietnam, Environ Pollut., 2009, 157, 396–403.
38 T Agusa, S Inoue, T Kunito, T B Minh, N N Ha, N P C Tu,
P T K Trang, H Iwata, P H Viet, B C Tuyen and S Tanabe,
Human exposure to arsenic from groundwater in the Red River
and the Mekong River Deltas in Vietnam, Int J Environ Stud.,
2009, 66, 49–57.
39 T Agusa, H Iwata, J Fujihara, T Kunito, H Takeshita,
T B Minh, P T K Trang, P H Viet and S Tanabe, Genetic
polymorphisms in AS3MT and arsenic metabolism in residents of
the Red River Delta, Vietnam, Toxicol Appl Pharmacol., 2009,
236, 131–141.
40 T Agusa, H Iwata, J Fujihara, T Kunito, H Takeshita,
T B Minh, P T K Trang, P H Viet and S Tanabe, Genetic
polymorphisms in glutathione S-transferase (GST) superfamily
and arsenic metabolism in residents of the Red River Delta,
Vietnam, Toxicol Appl Pharmacol., 2010, 242, 352–362.
41 T Agusa, T Kunito, R Kubota, S Inoue, J Fujihara, T B Minh,
N N Ha, N P C Tu, P T K Trang, C Chamnan, H Takeshita,
H Iwata, B C Tuyen, P H Viet, T S Tana and S Tanabe,
Exposure, metabolism, and health effects of arsenic in residents
from arsenic-contaminated groundwater areas of Vietnam and
Cambodia: A review, Rev Environ Health, 2010, 25, 193–220.
42 H Iwata, E Y Kim, M Yamauchi, S Inoue, T Agusa and
S Tanabe, Chemical contamination in aquatic ecosystems, Yakugaku Zasshi—J Pharm Soc Jpn, 2007, 127, 417–428.
43 R Kubota, T Kunito, T Agusa, J Fujihara, I Monirith,
H Iwata, A Subramanian, T S Tana and S Tanabe, Urinary 8-hydroxy-2 0 -deoxyguanosine in inhabitants chronically exposed
to arsenic in groundwater in Cambodia, J Environ Monit., 2006,
8, 293–299.
44 S Tanabe, Environmental Specimen Bank in Ehime University (es-BANK), Japan for global monitoring, J Environ Monit., 2006,
8, 782–790.
45 C H Tseng, A review on environmental factors regulating arsenic methylation in humans, Toxicol Appl Pharmacol., 2009, 235, 338–350.
46 E M Leslie, A Haimeur and M P Waalkes, Arsenic transport by the human multidrug resistance protein 1 (MRP1/ABCC1): evidence that a tri-glutathione conjugate is required, J Biol Chem., 2004, 279, 32700–32708.
47 C.-H Tseng, Y.-K Huang, Y.-L Huang, C.-J Chung, M.-H Yang, C.-J Chen and Y.-M Hsueh, Arsenic exposure, urinary arsenic speciation, and peripheral vascular disease in blackfoot disease-hyperendemic villages in Taiwan, Toxicol Appl Pharmacol., 2005, 206, 299–308.
48 A L Lindberg, R Kumar, W Goessler, R Thirumaran,
E Gurzau, K Koppova, P Rudnai, G Leonardi, T Fletcher and M Vahter, Metabolism of low-dose inorganic arsenic in
a central European population: influence of sex and genetic polymorphisms, Environ Health Perspect., 2007, 115, 1081–1086.
49 L Li, E C Ekstro¨m, W Goessler, B Lo¨nnerdal, B Nermell,
M Yunus, A Rahman, S El Arifeen, L A˚ Persson and
M Vahter, Nutritional status has marginal influence on the metabolism of inorganic arsenic in pregnant Bangladeshi women, Environ Health Perspect., 2008, 116, 315–321.
50 A L Lindberg, E C Ekstro¨m, B Nermell, M Rahman,
B Lo¨nnerdal, L A Persson and M Vahter, Gender and age differences in the metabolism of inorganic arsenic in a highly exposed population in Bangladesh, Environ Res., 2008, 106, 110–120.
51 P Kurttio, H Komulainen, E Hakala, H Kahelin and
J Pekkanen, Urinary excretion of arsenic species after exposure
to arsenic present in drinking water, Arch Environ Contam Toxicol., 1998, 34, 297–305.
52 C Steinmaus, L E Moore, M Shipp, D Kalman, O A Rey,
M L Biggs, C Hopenhayn, M N Bates, S C Zheng,
J K Wiencke and A H Smith, Genetic polymorphisms in MTHFR 677 and 1298, GSTM1 and T1, and metabolism of arsenic, J Toxicol Environ Health, Part A, 2007, 70, 159–170, DOI: 10.1080/15287390600755240.
53 U K Chowdhury, M M Rahman, M K Sengupta, D Lodh,
C R Chanda, S Roy, Q Quamruzzaman, H Tokunaga,
M Ando and D Chakraborti, Pattern of excretion of arsenic compounds [arsenite, arsenate, MMA(V), DMA(V)] in urine of children compared to adults from an arsenic exposed area in Bangladesh, J Environ Sci Health, Part A: Toxic/Hazard Subst Environ Eng., 2003, 38, 87–113.
54 J S Chung, D A Kalman, L E Moore, M J Kosnett,
A P Arroyo, M Beeris, D N Guha Mazumder, A L Hernandez and A H Smith, Family correlations of arsenic methylation patterns
in children and parents exposed to high concentrations of arsenic in drinking water, Environ Health Perspect., 2002, 110, 729–733.
55 K Schla¨wicke Engstro¨m, K Broberg, G Concha, B Nermell,
M Warholm and M Vahter, Genetic polymorphisms influencing arsenic metabolism: evidence from Argentina, Environ Health Perspect., 2007, 115, 599–605, DOI: 10.1289/Ehp.9734.
56 I J Letourneau, R G Deeley and S P C Cole, Functional characterization of non-synonymous single nucleotide polymorphisms
in the gene encoding human multidrug resistance protein 1 (MRP1/ ABCC1), Pharmacogenet Genomics, 2005, 15, 647–657.