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1 Division of Human Genetics and Genomics, Indian Institute of Chemical Biology, Calcutta, India and 2 Department of Dermatology, West Bank Hospital, Howrah, India
Requests for reprints: Ashok K. Giri, Division of Human Genetics and Genomics, Indian Institute of Chemical Biology, 4, Raja S.C. Mullick Road, Jadavpur, Calcutta 700 032, India. Phone: 91-33-2473-0492/6793; Fax: 91-33-2473-5197. E-mail: akgiri15{at}yahoo.com or akgiri{at}iicb.res.in
| Abstract |
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| Introduction |
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Arsenic contents in urine, hair, and nails have been considered to be meaningful measures of the absorbed dose of inorganic arsenic and thus serve as reliable biomarkers of arsenic exposure. Arsenic accumulation in nails and hair is attributable to the keratin-rich composition of these tissues, which reflects a cumulative exposure to arsenic over a long period (8). Estimation tests on hair and fingernails can measure exposure to high levels of arsenic or arsenic exposure over the past 612 months, whereas urinary arsenic level is regarded as the best biological indicator for assessing current arsenic exposure because more than 60% of the ingested arsenic are excreted through urine (9, 10). Genetic toxicology end points have also been used as biomarkers as these are considered to be markers of early biological effects of carcinogen exposure (11). Exfoliated epithelial cells have traditionally been used for cancer screening and biomonitoring of genotoxic effects in humans (12). The frequencies of micronuclei observed in the exfoliated cells of oral mucosa and urinary bladder serve as an appropriate index to monitor the genotoxicity induced by arsenic because these cells are in direct contact with the carcinogen (13). Urothelial cell micronuclei reflect damage to the bladder epithelial tissue, which occurs
13 weeks prior to the exfoliated cells appearing in urine (14). The cytokinesis block micronuclei technique in lymphocyte culture is widely regarded as a sensitive and reliable method for assessing chromosome damage (15).
Arsenic-induced genotoxic effects are implicated in carcinogenic outcomes (16). The putative genotoxic effects of arsenic both in vivo and in vitro have been investigated. Higher incidences of micronuclei, chromosomal aberrations, sister chromatid exchanges, and aneuploidy have been reported from the human populations exposed to arsenic through drinking water in various countries such as Mexico (17, 18), Finland (19), Argentina (20, 21), and Taiwan (11). The exact mechanism of arsenic-induced carcinogenicity still remains elusive; however, short-term assays indicate that arsenic does not induce point mutations but rather acts as a clastogen, inducing the formation of chromosomal aberrations and micronuclei in animal and human systems (22). Thus, arsenic is an ideal genotoxicant to be evaluated using the micronuclei assay. To our knowledge, there was no genetic monitoring study of the residents of arsenic endemic districts of West Bengal until 2002, when we reported an elevated frequency of micronuclei in lymphocytes, oral mucosa cells, and urothelial cells in a pilot study of individuals from different arsenic-affected districts of West Bengal (23). This report was followed by our second study on chromosomal aberrations and sister chromatid exchange from the exposed individuals of North 24 Parganas district (3). In our first study, the 45 selected subjects were inhabitants of different districts with a wide range of arsenic exposure. Some of them had switched over to safer sources of drinking water also. Hence, correlation between the arsenic content in drinking water sample and the corresponding micronuclei frequencies was lacking in some cases. To bring homogeneity and to establish association between arsenic exposure and micronuclei incidence, we extended the study using samples from individuals inhabiting the same area and still exploiting the contaminated water source.
In this study, we have conducted a cross-sectional biomarker survey of a large population from North 24 Parganas district, West Bengal using micronuclei assay. The aim of this study was to compare the micronuclei frequencies in three cell types of 163 residents of the above-mentioned district, chronically exposed to high levels of arsenic in drinking water and a matched unexposed group (154 subjects) with little exposure to inorganic arsenic.
| Materials and Methods |
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Study Sites and Subject Selection
The study sites were four administrative blocks (designated as 14 in Fig. 1; i.e., 1 Gaighata, 2 Habra, 3 Deganga, and 4 Baduria) located within 20-km radius in the arsenic-affected North 24 Parganas district of West Bengal. This district was chosen for its proximity to Calcutta, the consequent convenience of transporting samples from the study site to the laboratory and also because it is reported to be severely affected by arsenic (24). The field survey was designed to reduce subjectivity. It was known if the site of sample collection was in the affected or unaffected district because the nine arsenic-affected districts of West Bengal are well documented (25). However, we did not know the arsenic concentration of the particular tube well. Arsenic concentrations in water samples vary widely as contaminated tube wells are scattered irregularly through out the study site. Each subject was first asked to complete a questionnaire that elicited information on demographics, life-style, occupation, diet, and addiction, medical, and residential histories. Then, physicians and dermatologists examined the study participants. Water and other biosamples were collected from the subjects on the same day and carried code numbers. Information from questionnaire-sourced data on the subjects was not revealed before the arsenic analyses were completed. Physical examination of the subjects and micronuclei assay were performed blind as to the arsenic concentrations in water and other biosamples. A large number of individuals were examined; the selected subjects were a consecutive convenient group of individuals who provided informed consent to participate and fulfilled the inclusion criteria.
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In the present study, due to the large sample size, some participants were found to be mildly addicted in both exposed and unexposed groups. Based on addiction habits, both the exposed and the unexposed groups were further subdivided into two categories: addicted and nonaddicted. The nonaddicted subjects were never addicted, while the addicted included the current users. In the addicted category, we included subjects who were mildly addicted to betel quid and/or bidi. Betel quid chewing is a widespread habit in India and exists in several forms (26). Occupationally, the majority of the study participants were farmers, porters, or daily wage earners. Because arsenic-containing pesticides were not used and arsenic mining was not detected in this region, occupational exposure to arsenic was ruled out. Seafood, which may be a source of arsenic contamination, was not available for consumption. Therefore, arsenic in drinking water was the principal source of exposure in this region.
Arsenic Exposure Assessment
Collection of Water and Biosamples for Arsenic Estimation The samples collected for arsenic estimation include drinking water (
100 ml), urine (100 ml), nails (
250500 mg), and hair (
300500 mg). The samples were analyzed mostly at the Institute of Wetland Management and Ecological Design, Salt Lake, Calcutta, and some at the School of Environmental Studies, Jadavpur University, Calcutta. Study participants were provided with acid-washed [nitric acid-water (1 + 1)] plastic bottles for collection of drinking water samples into which nitric acid (1.0 ml/l) was added later on as preservative (27). Ceramic blade cutters were used to collect nail and hair samples. Both samples were thoroughly cleaned following the method of Curatola et al. (28) and Agahian et al. (8) for removal of exogenous arsenic. Hair samples were of similar size and were taken from more or less similar region of head (close to the scalp behind the ear with a diameter of about 1 cm; Ref. 19). First morning voids were collected in precoded polypropylene bottles for arsenic estimation as these give the best measure of the recent arsenic exposure (9). Immediately after collection, the samples were stored in salt-ice mixture and brought to the laboratory where they were kept at 20°C until estimation was carried out. Concentrated HCl (1 ml/100 ml urine) was added in the urine samples to prevent bacterial growth (29).
Oral Mucosa Cell Collection Oral mucosa cell samples were collected from each subject using a soft toothbrush to scrape cells gently from the oral mucosa (inside of both cheeks). The brush was then swirled into a centrifuge tube containing a buffer solution [0.1 M EDTA, 0.01 M Tris-HCl, 0.02 M NaCl (pH 7.0); Ref. 30], thereby creating a cell suspension. The cell suspensions were stored at 24°C in a cooling device and brought to the laboratory within 2 h of sample collection.
Urothelial Cell Collection To collect urothelial-exfoliated cells, each subject was asked to provide
50 ml of the urine samples from the second and third voids of the day. As females generally exfoliate more cells per void than males (30), a total of four urine samples were collected from males and two from females. The urine samples were coded, kept at 24°C in a cooling device, and brought to the laboratory within 2 h of sample collection. First morning voids were not used for micronuclei assay because exfoliated cells tend to degrade from overnight exposure to urine (31).
Blood Sampling Blood samples (57 ml) were obtained from each individual by venipuncture. Whole blood (0.5 ml) was added to 6 ml RPMI 1640 containing 20% newborn calf serum, 2% phytohemagglutinin, 100 IU/ml penicillin, 100 µg/ml streptomycin, and 2 mM L-glutamine directly at the time of sample collection. The media containing blood samples were coded, kept at 4°C in a cooling device, and brought to the laboratory within 2 h of collection.
Laboratory Analysis
Micronuclei Assay in Exfoliated Epithelial Cells Oral mucosa cells were obtained by simply centrifuging the cell suspension at 1500 rpm for 10 min. The supernatant was discarded and cell pellets were resuspended in fresh buffer solution. Cells were washed thrice with the buffer solution. Gentle pipetting of cells in the buffer solution reduced clumping and lysed broken cells. Volumes of 25 ml of the buffer solution in 50 ml conical tubes were used in every washing step.
Urothelial cells were recovered by centrifuging urine samples (2000 rpm for 15 min) and washing the cell pellet with 0.9% NaCl (30).
Cell suspension of both cell types (50 µl) was laid and spread well on clean, preheated (40°C) glass slides and allowed to air-dry for 510 min. Cell density was checked with a phase-contrast microscope. The cell solution was either concentrated by centrifugation or diluted in the buffer solution (for oral mucosa cells) or 0.9% NaCl (for urothelial cells) as required. Once the desired cell density (no overlapping cells) was reached, more slides were prepared. The slides were fixed in methanol (80% v/v) at 0°C for 20 min and air-dried (32). Micronuclei in oral mucosa cells were scored in accordance with the criteria reported by Tolbert et al. (33), while urothelial cells were analyzed following the method of Reali et al. (34). At least 3000 oral mucosa cells and 1000 urothelial cells were scored per individual.
Micronuclei Assay in Lymphocytes Lymphocyte cultures were carried out for micronuclei analysis following the standard protocol of Fenech (15) and Migliore et al. (35). Replicate cultures were established at the time of sample collection. The whole blood cultures were brought to the laboratory and incubated for 44 h at 37°C. Cytochalasin B (a cytokinesis blocker) was added to each culture to give a final concentration of 6 µg/ml and the culture was incubated at 37°C for an additional 28 h to induce binucleated cell formation. After a total of 72 h incubation, the cells were centrifuged at
1000 rpm for 5 min. Supernatant was discarded and cell pellets were treated with a weak hypotonic solution (0.075 M KCl/saline, 1:9) for 5 min. After centrifugation, the cells were fixed in fresh fixative (methanol/glacial acetic acid, 3:1). Fixative was removed by centrifugation and two more changes of fixative were performed. The cells were dropped onto wet clean slides and the slides were air-dried and stained with 5% Giemsa in phosphate buffer (pH 6.8). At least 2000 binucleated cells from each subject were examined for micronuclei under the microscope.
Scoring Procedure All slides were first examined with low-power (20x) magnification using an Olympus BX40 microscope to discard those infected with bacteria, fungi, and polymorphonuclear leukocytes as these may interfere with scoring. Slides were then scored at 100x (oil immersion lens). Smeared, clumped overlapped or necrotic cells or those without intact nuclei were not recorded. Only those micronuclei were noted which were (a) rounded or oval shaped; (b) less than one-third the diameter of the main nucleus; (c) in the same focal plane as the nucleus; (d) of the same color, texture, and refraction as the main nucleus; and (e) clearly separated from the main nucleus. Two trained research fellows cross-checked all micronuclei scores to obviate the risk of bias. The values so obtained were averaged (36). Variability of repeated scoring of the slides by the same scorer was extremely low. The scorers were highly consistent on repeat counts and the concurrence between two scorers was good. All questionable micronuclei were additionally assessed by a third scorer and discussed until a consensus was reached.
Estimation of Arsenic in Nails, Hair, Water, and Urine Before estimation, the nail and hair samples were digested with 5 ml concentrated nitric acid and 3 ml concentrated sulfuric acid following the method of Agahian et al. (8). Water and urine samples were analyzed following the method of Guha Mazumder et al. (6) using an alkali-induced sample digestion procedure. Flow injection-hydride generation-atomic absorption spectrometry was used for estimation of arsenic in the collected biosamples. A Perkin-Elmer Model 3100 spectrometer equipped with a Hewlett-Packard Vectra computer with GEM software, Perkin-Elmer EDL System-2, arsenic lamp (lamp current 400 mA) was used for the purpose.
Statistical Analysis
Statistical analysis focused on measuring the effect of arsenic exposure in the three cell types of exposed and unexposed individuals. Fisher's t test was performed to assess the difference in mean arsenic contents in drinking water, urine, nail, and hair between the exposed and the unexposed groups.
All micronuclei scores were converted to frequency of micronuclei/1000 cells. Due to the absence of normal distribution of micronuclei frequencies, the nonparametric Wilcoxon rank sum test (with correction for large samples) was used to assess the statistical significance of micronuclei frequency in three cell types between exposed and unexposed individuals. Statistical significance of micronuclei prevalence was also evaluated within the exposed group after stratification based on sex (between male and female) and addiction (between addicted and nonaddicted). As it was hypothesized a priori that exposure to arsenic would cause an increase in micronuclei frequency, so one-tailed test (P) was used.
Cochran-Armitage trend test was conducted to compare the micronuclei prevalence in three cell types with levels of arsenic in drinking water following the method of Armitage (37) and Cochran (38) as suggested by Hothorn (39). The test of significance was carried out at both 5% and 1% levels based on
21,0.05 = 3.848 and
21,0.01 = 6.035, respectively.
| Results |
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| Discussion |
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Our results indicate that genotoxic effects show variation among different tissues. The tissue response variability may be due to difference in levels of direct/metabolic arsenic exposure to cells and/or to different cellular kinetics that influence the relative efficiencies of the cells (41). A slightly greater increase in micronuclei prevalence was observed in lymphocytes compared with the exfoliated epithelial cells. However, due to the longer life span of lymphocytes compared with epithelial cells, the micronuclei observed in this tissue should not necessarily be correlated with the micronuclei observed in cells that have different turnover rates (13). Urothelial cells turnover in the bladder every 12 weeks, so micronuclei cells do not accumulate over time. At times, correlation may be lacking between urothelial and oral mucosa cells due to different target tissue and individual sensitivity (18). The performance of micronuclei as a biomarker in three cell types within the exposed group based on low (51150 µg/l), middle (151250 µg/l), and high (>250 µg/l) levels of arsenic content in drinking water shows absence of positive trend effect (Table 3). The three different levels of arsenic in drinking water did not affect the micronuclei proportions in the three subgroups within the exposed group. This could probably be due to differences in quantity of water intake and durations of arsenic exposure in the study participants as well as interindividual variation in susceptibility to arsenic.
Several variables such as habitual factors (exercising, drinking, and smoking), dietary factors (folate deficiency and plasma levels of vitamin B12 and homocysteine), and demographic factors (age and gender) are supposed to affect micronuclei frequency (42). However, age and gender did not influence our results because the arsenic-exposed and unexposed groups were age and sex matched. As both groups had similar occupations and socioeconomic status, their diet and level of physical exertion were also more or less similar. Thus, these factors do not impact the usefulness of micronuclei as a biomarker of arsenic exposure and the overall conclusion of the study. Because addiction is an important effect modifier and betel quid chewing with or without tobacco has been associated with oral cancer (26), data from addicted and nonaddicted individuals were analyzed separately although the participants were mildly addicted. All the addicted subjects kept away from alcohol consumption, cigarette smoking, and pan masala (a popular Indian addiction containing a dry mixture of areca nut, lime, catechu, condiments, and tobacco) chewing. Majority of the study subjects were addicted to betel quid. The high carotene content of betel leaf, low dry weight, and less tobacco content of betel quid make it less toxic and carcinogenic than cigarette smoking or other forms of addiction (43). The data analysis of nonaddicted category revealed greater differences for micronuclei induction between exposed and unexposed subjects. When exclusively unexposed subjects are considered, it is observed that addicted subjects have higher micronuclei frequencies in all three cell types (P < 0.01) than the nonaddicted category. However, within the exposed group, addicted individuals exhibited significantly increased micronuclei frequency (P < 0.01) over the nonaddicted ones in oral mucosa cells. This may be due to the synergistic effect of arsenic with the betel quid chewing habit.
There is a dearth of information on the mechanism by which arsenic exerts its carcinogenic effect. Usefulness of micronuclei assay as a screening and early detection technique for cancer susceptibility has been suggested before (42). Most in vivo human studies using centromere-specific probes report predominance of centromere negative micronuclei, thereby indicating that arsenic is more clastogenic than aneugenic (31). The present study adds to the increasing volume of literature suggesting that chronic environmental exposure to arsenic causes genotoxic effects, which may be implicated in the increased carcinogenesis incidence. To summarize, we believe that micronuclei assay is an effective technique adopted for rapid risk assessment of arsenic-induced cancer in large human populations exposed to arsenic. Our study has demonstrated the comparative analyses of micronuclei as biomarkers in lymphocytes, oral mucosa cells, and urothelial cells in arsenic-exposed individuals. Among the three cell types, lymphocytes display slightly higher micronuclei frequency. Further investigations on the mechanism of arsenic action and possible indicators of susceptibility and effect would have public health implications.
| Acknowledgments |
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| Footnotes |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Received 11/ 6/03; revised 1/ 1/04; accepted 1/ 8/04.
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2-test. Biometrics 1954;10:417-51.[CrossRef]
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