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Is saliva a potential biomarker of arsenic exposure? A case-control study in West Bengal, India

Saliva is a biological fluid that has not been used extensively as a biomonitoring tool in epidemiological studies. This study presents the arsenic (As) concentrations in saliva and urine samples collected from populations of West Bengal, India who had been previously exposed to high As levels in their drinking water. We found a significant (p < 0.05) association between the Log transformed Daily Ingestion of As (μg day-1) and the As concentration in saliva (r = 0.68). Additionally, As concentration of saliva and urine also had a significant positive correlation (r = 0.60, p < 0.05). Male participants, smokers, and cases of skin lesion were independently and significantly associated with an increase in salivary As. Thus our findings show that saliva is a useful biomarker of As exposure in the study population. The study also advocates that measurement of the forms of As in saliva may additionally provide insight into the internal dose and any individual differences in susceptibility to As exposure

The present study was funded by Trehan Foundation to the Center for South Asian Studies, University of Michigan, USA. S.B. and D.H. would like to acknowledge Erasmus Mundus External Cooperation Window (EMECW Action II) Program EURINDIA for providing their respective Doctoral Scholarship. The support from Spanish National Research Programme (CGL2010-22168-C03-03) is also duly acknowledged. The authors would also like to acknowledge the support of Mr. Prabir Kr. Das, Mr. Barun Mitra, and Dr. Nilima Ghosh for their assistance during field work. D.C. acknowledges the support of the DST-FIST and UGC-SAP program of Department of Chemistry, University of Kalyani

American Chemical Society (ACS)

Manager: Ministerio de Ciencia e Innovación (Espanya)
Author: Bhowmick, Subhamoy
Halder, Dipti
Kundu, Amit Kumar
Saha, Debasree
Iglesias Juncà, Mònica
Nriagu, Jerome
Guha Mazumder, Debendra Nath
Roman-Ross, Gabriela
Chatterjee, Debashis
Abstract: Saliva is a biological fluid that has not been used extensively as a biomonitoring tool in epidemiological studies. This study presents the arsenic (As) concentrations in saliva and urine samples collected from populations of West Bengal, India who had been previously exposed to high As levels in their drinking water. We found a significant (p < 0.05) association between the Log transformed Daily Ingestion of As (μg day-1) and the As concentration in saliva (r = 0.68). Additionally, As concentration of saliva and urine also had a significant positive correlation (r = 0.60, p < 0.05). Male participants, smokers, and cases of skin lesion were independently and significantly associated with an increase in salivary As. Thus our findings show that saliva is a useful biomarker of As exposure in the study population. The study also advocates that measurement of the forms of As in saliva may additionally provide insight into the internal dose and any individual differences in susceptibility to As exposure
The present study was funded by Trehan Foundation to the Center for South Asian Studies, University of Michigan, USA. S.B. and D.H. would like to acknowledge Erasmus Mundus External Cooperation Window (EMECW Action II) Program EURINDIA for providing their respective Doctoral Scholarship. The support from Spanish National Research Programme (CGL2010-22168-C03-03) is also duly acknowledged. The authors would also like to acknowledge the support of Mr. Prabir Kr. Das, Mr. Barun Mitra, and Dr. Nilima Ghosh for their assistance during field work. D.C. acknowledges the support of the DST-FIST and UGC-SAP program of Department of Chemistry, University of Kalyani
Document access: http://hdl.handle.net/2072/297248
Language: eng
Publisher: American Chemical Society (ACS)
Rights: Tots els drets reservats
Subject: Marcadors bioquímics
Biochemical markers
Arsènic
Arsenic
Title: Is saliva a potential biomarker of arsenic exposure? A case-control study in West Bengal, India
Type: info:eu-repo/semantics/article
Repository: Recercat

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