Arsenic and other elements in hair, nails, and skin-scales of arsenic victims in West Bengal, India

Samanta, Gautam; Sharma, R.; Roychowdhury, Tarit; Chakraborti, Dipankar

doi:10.1016/j.scitotenv.2003.12.006

Cited by 241 publications

(161 citation statements)

References 50 publications

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“…Hair mineral analysis has been used in forensic medicine, in screening populations for toxic metal poisoning, and in monitoring environmental pollutants [6,[12][13][14]. Furthermore, its clinical use has been tried for diagnosis of some diseases and symptoms [7,8], but reliability remained to be confirmed [15,16].…”

Section: Discussionmentioning

confidence: 99%

Metallomics study using hair mineral analysis and multiple logistic regression analysis: relationship between cancer and minerals

Yasuda¹,

Yoshida²,

Segawa³

et al. 2009

Environ Health Prev Med

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Objectives The objective of this metallomics study is to investigate comprehensively some relationships between cancer risk and minerals, including essential and toxic metals. Methods Twenty-four minerals including essential and toxic metals in scalp hair samples from 124 solid-cancer patients and 86 control subjects were measured with inductively coupled plasma mass spectrometry (ICP-MS), and the association of cancer with minerals was statistically analyzed with multiple logistic regression analysis. Results Multiple logistic regression analysis demonstrated that several minerals are significantly correlated to cancer, positively or inversely. The most cancer-correlated mineral was iodine (I) with the highest correlation coefficient of r = 0.301, followed by arsenic (As; r = 0.267), zinc (Zn; r = 0.261), and sodium (Na; r = 0.190), with p \ 0.01 for each case. In contrast, selenium (Se) was inversely correlated to cancer (r = -0.161, p \ 0.05), followed by vanadium (V) (r = -0.128). Multiple linear regression value was highly significantly correlated with probability of cancer (R 2 = 0.437, p \ 0.0001), and the area under the receiver-operating characteristic (ROC) curve was calculated to be 0.918. In addition, using contingency table analysis and the chi-square test, the precision of discrimination for cancer was estimated to be 0.871 (chi-square = 99.1, p \ 0.0001). Conclusions These findings suggest that some minerals such as arsenic, selenium, and probably iodine, zinc, sodium, and vanadium contribute to regulation of cancer and also that metallomics study using multiple logistic regression analysis is a useful tool for estimating cancer risk.

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Section: Discussionmentioning

confidence: 99%

Metallomics study using hair mineral analysis and multiple logistic regression analysis: relationship between cancer and minerals

Yasuda¹,

Yoshida²,

Segawa³

et al. 2009

Environ Health Prev Med

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“…The amount of arsenic in nail is higher than hair. It is difficult to collect the hair sample from the root (Samantaa et al, 2004). It is quite natural that, this study shows that nails contain high concentration of arsenic in arsenic exposed and arsenicosis patients.…”

Section: Discussionmentioning

confidence: 79%

Increased count of <i>Bacteroides fragilis</i> in the feces of palmar arsenical keratosis patient

Ahmad

Misbahuddin

Ahmed

2016

Bangladesh J Pharmacol

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Chronic exposure to high concentration of arsenic caused an increase in the colony count of Bacteroides fragilis in the feces in comparison to healthy volunteer (3.6 × 10¹¹ ± 1.9 vs 1.5 × 10¹¹ ± 1.7 CFU/g of feces) which was not statistically significant. But significant increase in the colony count of B. fragilis was seen in the feces of palmar arsenical keratosis patient (4.2 × 10¹¹ ± 1.9 CFU/g of feces; p=0.0390). Supplementation with probiotic for 12 weeks decreased the colony counts in all three groups which were not statistically significant among the groups. Probiotics decreased the amount of arsenic in the nail of all the three groups significantly.

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“…While the concentrations of arsenic in urine and hair require speciation of arsenic, total arsenic concentrations in fi ngernails do not require its speciation. In the study of Samanta et al [47] mean arsenic concentrations in the hair collected in populations from arsenic-affected areas in India was 2.29 μg/g. Reference values for arsenic are in the whole blood 5 μg/L, serum 3.5 μg/L, hair 0.26 μg/g, and urine 20 μg/L [48].…”

Section: Arsenicmentioning

confidence: 92%

Arsenic, Copper, Molybdenum, and Selenium Exposure through Drinking Water in Rural Eastern Croatia

Ćurković¹,

Sípos²,

Puntarić³

et al. 2016

Pol. J. Environ. Stud.

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The objectives of this study were to determine the concentrations of arsenic, copper, molybdenum, and selenium in drinking water and biological tissues (serum, urine, hair) in the populations of three rural communities in eastern Croatia, and to determine whether the concentrations of these elements in drinking water can be related to their concentrations in biological tissues. Arsenic, copper, molybdenum, and selenium concentrations were determined using inductively coupled plasma mass spectrometry in the samples of water, urine, and serum of the subjects from all three communities, while hair samples were taken from the subjects from Ćelije and Draž. The highest arsenic concentrations in drinking water and biological tissues were found in the participants from Ćelije. In all three communities, concentrations of copper, molybdenum, and selenium did not exceed maximum permissible concentrations in drinking water or in biological tissues.

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Arsenic and other elements in hair, nails, and skin-scales of arsenic victims in West Bengal, India

Cited by 241 publications

References 50 publications

Metallomics study using hair mineral analysis and multiple logistic regression analysis: relationship between cancer and minerals

Metallomics study using hair mineral analysis and multiple logistic regression analysis: relationship between cancer and minerals

Increased count of <i>Bacteroides fragilis</i> in the feces of palmar arsenical keratosis patient

Arsenic, Copper, Molybdenum, and Selenium Exposure through Drinking Water in Rural Eastern Croatia

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