Using Urine As a Biomarker in Human Exposure Risk Associated with Arsenic and Other Heavy Metals Contaminating Drinking Groundwater in Intensively Agricultural Areas of Thailand

Overview

Journal Environ Geochem Health

Specialties Chemistry
Environmental Health

Date 2017 Feb 9

PMID 28176197

Citations 10

Authors

Pokkate Wongsasuluk

Srilert Chotpantarat

Wattasit Siriwong

Mark Robson

Affiliations

Soon will be listed here.

Abstract

Urine used as a biomarker was collected and compared between two groups of participants: (1) a groundwater-drinking group and (2) a non-groundwater-drinking group in intensively agricultural areas in Ubon Ratchathani province, Thailand. The statistical relationship with the metal concentration in shallow groundwater wells was established with urine data. According to the groundwater data, the health risk assessment results for four metals appeared to be higher for participants who drank groundwater than for the other group. The carcinogenic risk and non-carcinogenic risk of arsenic (As) were found in 25.86 and 31.03% of participants, respectively. For lead (Pb), 13.79% of the participants had a non-carcinogenic risk. Moreover, 30 of the 58 participants in the groundwater-drinking group had As urine higher than the standard, and 26, 2 and 9 of the 58 participants had above-standard levels for cadmium (Cd), Pb and mercury (Hg) in urine, respectively. Both the risk assessment and biomarker level of groundwater-drinking participants were higher than in the other group. The results showed an average drinking rate of approximately 4.21 ± 2.73 L/day, which is twice as high as the standard. Interestingly, the As levels in the groundwater correlated with those in the urine of the groundwater-drinking participants, but not in the non-groundwater-drinking participants, as well as with the As-related cancer and non-carcinogenic risks. The hazard index (HI) of the 100 participants ranged from 0.00 to 25.86, with an average of 1.51 ± 3.63 higher than the acceptable level, revealing that 28 people appeared to have non-carcinogenic risk levels (24 and 4 people for groundwater-drinking participants and non-groundwater-drinking participants, respectively). Finally, the associated factors of heavy metals in urine were the drinking water source, body weight, smoking, sex and use of personal protective equipment.

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References

Hernandez A, Daponte A, Aguilera I, Fernandez-Ajuria A, Toro S, Martin-Olmedo P . Urinary levels of arsenic and heavy metals in children and adolescents living in the industrialised area of Ria of Huelva (SW Spain). Environ Int. 2010; 36(6):563-9. DOI: 10.1016/j.envint.2010.04.012. View

Jooste P, Strydom E . Methods for determination of iodine in urine and salt. Best Pract Res Clin Endocrinol Metab. 2010; 24(1):77-88. DOI: 10.1016/j.beem.2009.08.006. View

Normandin L, Ayotte P, Levallois P, Ibanez Y, Courteau M, Kennedy G . Biomarkers of arsenic exposure and effects in a Canadian rural population exposed through groundwater consumption. J Expo Sci Environ Epidemiol. 2013; 24(2):127-34. DOI: 10.1038/jes.2013.80. View

Fatmi Z, Azam I, Ahmed F, Kazi A, Gill A, Kadir M . Health burden of skin lesions at low arsenic exposure through groundwater in Pakistan. Is river the source?. Environ Res. 2009; 109(5):575-81. DOI: 10.1016/j.envres.2009.04.002. View

Nermell B, Lindberg A, Rahman M, Berglund M, Persson L, El Arifeen S . Urinary arsenic concentration adjustment factors and malnutrition. Environ Res. 2007; 106(2):212-8. DOI: 10.1016/j.envres.2007.08.005. View

Aylward L, Ramasamy S, Hays S, Schoeny R, Kirman C . Evaluation of urinary speciated arsenic in NHANES: issues in interpretation in the context of potential inorganic arsenic exposure. Regul Toxicol Pharmacol. 2014; 69(1):49-54. DOI: 10.1016/j.yrtph.2014.02.011. View

Roychowdhury T . Groundwater arsenic contamination in one of the 107 arsenic-affected blocks in West Bengal, India: Status, distribution, health effects and factors responsible for arsenic poisoning. Int J Hyg Environ Health. 2010; 213(6):414-27. DOI: 10.1016/j.ijheh.2010.09.003. View

Wang H, Han M, Yang S, Chen Y, Liu Q, Ke S . Urinary heavy metal levels and relevant factors among people exposed to e-waste dismantling. Environ Int. 2010; 37(1):80-5. DOI: 10.1016/j.envint.2010.07.005. View

Ivanenko N, Ivanenko A, Solovyev N, Zeimal A, Navolotskii D, Drobyshev E . Biomonitoring of 20 trace elements in blood and urine of occupationally exposed workers by sector field inductively coupled plasma mass spectrometry. Talanta. 2013; 116:764-9. DOI: 10.1016/j.talanta.2013.07.079. View

10.

Middleton D, Watts M, Hamilton E, Ander E, Close R, Exley K . Urinary arsenic profiles reveal exposures to inorganic arsenic from private drinking water supplies in Cornwall, UK. Sci Rep. 2016; 6:25656. PMC: 4860641. DOI: 10.1038/srep25656. View

11.

Bhattacharya P, Claesson M, Bundschuh J, Sracek O, Fagerberg J, Jacks G . Distribution and mobility of arsenic in the Río Dulce alluvial aquifers in Santiago del Estero Province, Argentina. Sci Total Environ. 2005; 358(1-3):97-120. DOI: 10.1016/j.scitotenv.2005.04.048. View

12.

Knudsen N, Christiansen E, Brandt-Christensen M, Nygaard B, Perrild H . Age- and sex-adjusted iodine/creatinine ratio. A new standard in epidemiological surveys? Evaluation of three different estimates of iodine excretion based on casual urine samples and comparison to 24 h values. Eur J Clin Nutr. 2000; 54(4):361-3. DOI: 10.1038/sj.ejcn.1600935. View

13.

Wongsasuluk P, Chotpantarat S, Siriwong W, Robson M . Heavy metal contamination and human health risk assessment in drinking water from shallow groundwater wells in an agricultural area in Ubon Ratchathani province, Thailand. Environ Geochem Health. 2013; 36(1):169-82. DOI: 10.1007/s10653-013-9537-8. View

14.

Albouy-Llaty M, Dupuis A, Grignon C, Strezlec S, Pierre F, Rabouan S . Estimating drinking-water ingestion and dermal contact with water in a French population of pregnant women: the EDDS cohort study. J Expo Sci Environ Epidemiol. 2014; 25(3):308-16. DOI: 10.1038/jes.2014.48. View

15.

Gil F, Hernandez A, Marquez C, Femia P, Olmedo P, Lopez-Guarnido O . Biomonitorization of cadmium, chromium, manganese, nickel and lead in whole blood, urine, axillary hair and saliva in an occupationally exposed population. Sci Total Environ. 2011; 409(6):1172-80. DOI: 10.1016/j.scitotenv.2010.11.033. View

16.

Marchiset-Ferlay N, Savanovitch C, Sauvant-Rochat M . What is the best biomarker to assess arsenic exposure via drinking water?. Environ Int. 2012; 39(1):150-71. DOI: 10.1016/j.envint.2011.07.015. View

17.

Ayotte J, Baris D, Cantor K, Colt J, Robinson Jr G, Lubin J . Bladder cancer mortality and private well use in New England: an ecological study. J Epidemiol Community Health. 2006; 60(2):168-72. PMC: 2566149. DOI: 10.1136/jech.2005.038620. View

18.

Calderon R, Hudgens E, Carty C, He B, Le X, Rogers J . Biological and behavioral factors modify biomarkers of arsenic exposure in a U.S. population. Environ Res. 2013; 126:134-44. DOI: 10.1016/j.envres.2013.04.004. View

19.

Samanta G, Sharma R, Roychowdhury T, Chakraborti D . Arsenic and other elements in hair, nails, and skin-scales of arsenic victims in West Bengal, India. Sci Total Environ. 2004; 326(1-3):33-47. DOI: 10.1016/j.scitotenv.2003.12.006. View

20.

Rahman M, Naidu R, Bhattacharya P . Arsenic contamination in groundwater in the Southeast Asia region. Environ Geochem Health. 2009; 31 Suppl 1:9-21. DOI: 10.1007/s10653-008-9233-2. View