Acessibilidade / Reportar erro

Mercury toxicity in the Amazon: contrast sensitivity and color discrimination of subjects exposed to mercury

Abstract

We measured visual performance in achromatic and chromatic spatial tasks of mercury-exposed subjects and compared the results with norms obtained from healthy individuals of similar age. Data were obtained for a group of 28 mercury-exposed subjects, comprising 20 Amazonian gold miners, 2 inhabitants of Amazonian riverside communities, and 6 laboratory technicians, who asked for medical care. Statistical norms were generated by testing healthy control subjects divided into three age groups. The performance of a substantial proportion of the mercury-exposed subjects was below the norms in all of these tasks. Eleven of 20 subjects (55%) performed below the norms in the achromatic contrast sensitivity task. The mercury-exposed subjects also had lower red-green contrast sensitivity deficits at all tested spatial frequencies (9/11 subjects; 81%). Three gold miners and 1 riverine (4/19 subjects, 21%) performed worse than normal subjects making more mistakes in the color arrangement test. Five of 10 subjects tested (50%), comprising 2 gold miners, 2 technicians, and 1 riverine, performed worse than normal in the color discrimination test, having areas of one or more MacAdam ellipse larger than normal subjects and high color discrimination thresholds at least in one color locus. These data indicate that psychophysical assessment can be used to quantify the degree of visual impairment of mercury-exposed subjects. They also suggest that some spatial tests such as the measurement of red-green chromatic contrast are sufficiently sensitive to detect visual dysfunction caused by mercury toxicity.

Mercury exposure; Mercury toxicity; Contrast sensitivity; Color vision; Visual dysfunction; Amazon riverside communities


Braz J Med Biol Res, March 2007, Volume 40(3) 415-424

Mercury toxicity in the Amazon: contrast sensitivity and color discrimination of subjects exposed to mercury

A.R. Rodrigues1, C.R.B. Souza1, A.M. Braga1, P.S.S. Rodrigues1, A.T. Silveira2, E.T.B. Damin1, M.I.T. Côrtes1, A.J.O. Castro1, G.A. Mello1, J.L.F. Vieira3, M.C.N. Pinheiro3, D.F. Ventura4,5 and Correspondence and Footnotes L.C.L. Silveira1,3

1Departamento de Fisiologia, 2Serviço de Computação, 3Núcleo de Medicina Tropical, Universidade Federal do Pará, Belém, PA, Brasil

4Instituto de Psicologia, 5Núcleo de Neurociências e Comportamento, Universidade de São Paulo, São Paulo, SP, Brasil

References

Correspondence and Footnotes Correspondence and Footnotes Correspondence and Footnotes

Abstract

We measured visual performance in achromatic and chromatic spatial tasks of mercury-exposed subjects and compared the results with norms obtained from healthy individuals of similar age. Data were obtained for a group of 28 mercury-exposed subjects, comprising 20 Amazonian gold miners, 2 inhabitants of Amazonian riverside communities, and 6 laboratory technicians, who asked for medical care. Statistical norms were generated by testing healthy control subjects divided into three age groups. The performance of a substantial proportion of the mercury-exposed subjects was below the norms in all of these tasks. Eleven of 20 subjects (55%) performed below the norms in the achromatic contrast sensitivity task. The mercury-exposed subjects also had lower red-green contrast sensitivity deficits at all tested spatial frequencies (9/11 subjects; 81%). Three gold miners and 1 riverine (4/19 subjects, 21%) performed worse than normal subjects making more mistakes in the color arrangement test. Five of 10 subjects tested (50%), comprising 2 gold miners, 2 technicians, and 1 riverine, performed worse than normal in the color discrimination test, having areas of one or more MacAdam ellipse larger than normal subjects and high color discrimination thresholds at least in one color locus. These data indicate that psychophysical assessment can be used to quantify the degree of visual impairment of mercury-exposed subjects. They also suggest that some spatial tests such as the measurement of red-green chromatic contrast are sufficiently sensitive to detect visual dysfunction caused by mercury toxicity.

Key words: Mercury exposure, Mercury toxicity, Contrast sensitivity, Color vision, Visual dysfunction, Amazon riverside communities

Introduction

The gold mining activity in the Amazon Region has caused damage to the environment and has exposed the local people to two forms of mercury contamination (1-6). The gold miners themselves can be affected directly as a result of exposure to vapors given off during the burning of mercury amalgam. In addition, the elemental mercury released by the burning of amalgam is converted into organic mercury compounds and transferred to the food chain, as indicated by the presence of relatively high concentrations of mercury in fish from regions under the influence of gold mining activity (2, 3,7-9). The analysis of mercury content in hair samples of inhabitants of riverside communities living in regions under the influence of gold mining activity reveals Hg concentrations higher than WHO (10,11) tolerance limits (2,3,12-16).

Organic mercury compounds are extremely toxic for the nervous system (10,11,17,18) and have caused several environmental catastrophes in different countries with serious consequences for human health (19-22). Several studies have been performed to monitor the health conditions of Amazon inhabitants living in areas exposed to mercury, including the performance of the visual system (23-25). The present study represents the first step in developing norms for different visual tasks, which can be used to assess the visual performance of Amazonian riverines and gold miners. We tested here the visual performance of mercury-exposed subjects in chromatic and achromatic spatial tasks and compared the results with norms obtained from a number of individuals of similar age without previous mercury exposure or any other visual dysfunction.

Material and Methods

Subjects

We evaluated the visual performance of 28 subjects exposed to hazardous mercury levels. The subjects were recruited when they looked for medical assistance in the Laboratory of Environmental and Human Toxicology (Núcleo de Medicina Tropical, Universidade Federal do Pará), which includes a specialized service for mercury toxicity. Twenty-seven subjects ranged in age from 18 to 60 years, while the remaining subject was 74 years. Twenty of them were gold miners and 6 were laboratory technicians suffering from metallic mercury exposure for more than 3 years in their work environment. The remaining 2 subjects were inhabitants of a small village located in the Tapajós River basin, who had high mercury levels in hair samples and who were suspected of suffering from methyl mercury intoxication. Differently from the other subjects, who were exposed to elemental mercury vapor, the riverside inhabitants were suspected of having been exposed to methyl mercury by eating contaminated fish. Since the subjects traveled long distances to perform the tests, it was not possible to perform all tests in all subjects. Only 20 subjects were tested for spatial achromatic contrast sensitivity, 11 were tested for spatial chromatic contrast sensitivity, 19 performed the Farnsworth-Munsell color arrangement test, and 10 performed the Mollon-Reffin color discrimination test.

For comparison, we tested normal subjects without a history of mercury exposure or any visual dysfunction, as evaluated by extensive medical anamnesis. The controls were recruited from the population living in Belém, mostly students, technicians, and teachers of the University and their relatives. The majority of controls had been born and lived their entire life in the Amazon, although at a distance from the Tapajós River basin and other hot spots of mercury exposure. The controls were then divided into three age groups: 16-30, 31-45, and 46-60 years. The number of control subjects varied between age groups: 19-55 for achromatic contrast sensitivity; 17-45 for chromatic contrast sensitivity; 17-82 for the Farnsworth-Munsell test, and 10-50 for the Mollon-Reffin test. The results obtained with control subjects were used to estimate confidence intervals and upper and lower tolerance limits (26,27). Two-tailed tolerance intervals were estimated, encompassing 90% of the population with 95% of certainty.

The study was performed according to the Ethical Norms for Research with Humans, Resolution 164/96 of the Health National Council, Brazilian Ministry of Health, and was approved by the Research Ethics Committee, Núcleo de Medicina Tropical, Universidade Federal do Pará. The subjects gave written informed consent to participate in the study.

Clinical evaluation

At the time they were tested psychophysically all subjects had already been removed from mercury exposure for a variable amount of time, two of them for more than 6 months. Routine clinical, neurological, and ophthalmologic examination of all subjects was performed prior to psychophysical assessment. The ophthalmologic examination comprised ocular refractometry, fundoscopy, Goldmann perimetry, Humphrey automatic campimetry, Snellen visual acuity, and Ishihara pseudoisochromatic plate test.

Mercury analysis

Hair and urine samples were analyzed in the Laboratory of Environmental and Human Toxicology (Núcleo de Medicina Tropical, Universidade Federal do Pará) for total Hg by atomic absorption spectrometry with an SP 3-D mercury analyzer (Nippon Corporation, Tokyo, Japan). The precision and accuracy of these measurements were verified in relation to the IAEA 085 International Reference Standard for hair samples, and Standard Reference Material 2672a of the US Department of Commerce, National Institute of Standards and Technology (NIST).

Visual tests

The software for the psychophysical tests was written using C++ programming language, OFS/Motif 1.1, AIX-Windows R4, and IBM-GL graphic library, all for the AIX 3.2.x environment. The software was developed for an IBM POWERStation RISC 6000 (IBM Corporation, New York, NY, USA). The stimuli were displayed on IBM 6091 19i color monitors, 1280 x 1024 pixels, 81.32-kHz horizontal refresh rate, 77-Hz vertical frame rate. They were generated using IBM GT4-3D graphic adapters, 24 bits/8 bits per gun. A dithering routine was used to obtain 10-bits gray level resolution. Luminance and chromaticity coordinates were measured with a CS-100A chroma meter (Konica Minolta, Mahwah, NJ, USA).

The tests consisted of several spatial vision measurements, encompassing contrast sensitivity and color discrimination. All measurements were performed monocularly, both eyes being alternately tested. The achromatic or chromatic contrast sensitivity was measured at eleven spatial frequencies ranging from 0.2 to 30 cycles/degree. The stimuli consisted of stationary, black-and-white (Commission Internationale de L'Éclerage - CIE 1976 white coordinates: u' = 0.182, v' = 0.474), vertical sine-wave gratings, with a mean luminance of 43.5 cd/m2. The stimuli were placed at 3 m, measuring 6.5º x 5º in the visual field. Each threshold estimation was repeated six times and the mean value was taken as representative of the subject's threshold. The psychophysical procedure used for the threshold determinations was the method of adjustments, in which the contrast value of the grating was continuously changed by the subject until the grating was no longer visible.

Chromatic spatial contrast sensitivity was measured using a modification of Mullen's (28) paradigm. The stimuli consisted of stationary, isoluminant, red-green vertical sine- wave gratings, with mean luminance of 15 cd/m2. CIE 1976 coordinates of monitor guns were: red, u' = 0.426, v' = 0.524; green, u' = 0.114, v' = 0.558. The stimuli, measuring 13 x 10 degrees in the visual field, were viewed from a distance of 1.5 m. Chromatic contrast sensitivity was measured at four different spatial frequencies, 0.1, 0.2, 0.5, and 1 cycle/degree. Each measurement was repeated four times and the mean value was taken as representative of sensitivity. The method of adjustments described above was used for threshold determination.

Color discrimination was tested in two different ways. One test was a computer version of the Farnsworth-Munsell test, in which samples are arranged in a progressive hue order. This test measures the subject's ability to order colored samples with the same luminance and saturation, but variable hue. The performance in this test is evaluated both by a score based on the number of errors made by the subject in the ordering task and by the type of errors that were made. Errors may concentrate in one or more of the color confusion axes (protan, deutan and tritan) or they may be diffuse. The stimuli consisted of 85 different hues, all with the same mean purity (30%) and luminance (42 cd/m2), equally spaced on the CIE 1976 chromaticity diagram. The CIE 1976 coordinates of monitor guns are: red, u' = 0.427, v' = 0.523; green, u' = 0.115, v' = 0.559; blue, u' = 0.165, v' = 0.163. They were presented at 1 m and comprised four sets of 21 colors, 1 deg2 patches. Each measurement was repeated four times and the mean value was considered to be representative of the score for the subject.

The other test was a self-built version of the Mollon-Reffin test (29,30) used to measure MacAdam color discrimination ellipses centered on five locations of the CIE 1976 chromaticity diagram: Ellipse 1 = (0.215, 0.531); Ellipse 2 = (0.219, 0.481); Ellipse 3 = (0.225, 0.415); Ellipse 4 = (0.175, 0.485); Ellipse 5 = (0.278, 0.472). Stimuli consisted of 20 randomly displayed circular patches with a diameter of 0.2-0.6 degrees and random luminance between 12 and 20 cd/m2. The CIE 1976 coordinates of the monitor guns were: red, u' = 0.427, v' = 0.523; green, u' = 0.115, v' = 0.559; blue, u' = 0.165, v' = 0.163. A subset of the patches forming a Landolt C was displayed in a chromaticity that differed from the remaining patches, which constituted the background. The Landolt C appeared for 1.5 s with its gap in one of four positions: right, left, up and down. The subject's task was to indicate the position of the Landolt C opening during the time that the stimulus remained on the screen plus an additional 3 s after it was switched off. After this, a new trial started. The background chromaticity was kept constant throughout the experiments. The Landolt C chromaticity was varied along a vector connecting it with the background chromaticity in the CIE color space every time the subject emitted a response. Correct responses decreased the distance between target and background while wrong responses increased it, following a staircase psychophysical method, until staircase direction reversals occurred. The threshold estimation was based on the average of the chromaticities corresponding to the peaks and valleys of these staircase reversals. During testing the program randomly interspersed catch trials in which the target was presented at maximum distance from the background. These catch trials had the objective of estimating the subject's response reliability. For the determination of a color discrimination ellipse the same procedure was repeated for 20 vectors around a background chromaticity. Five such ellipses were determined for each eye of each subject. In addition, thresholds along the protan, deutan and tritan cone isolation lines in the CIE color space were determined.

Results

Mercury levels

Mercury level determinations were repeated several times for each patient. Shortly after the subjects were removed from exposure to mercury vapor, total urine Hg levels were high, reaching 400 µg/L. The levels dropped steadily in the following months, reaching values below 50 µg/L. Total Hg levels in hair samples were 14-47 µg/g by the time of visual evaluation.

Clinical evaluation

Routine clinical and laboratory examination of all subjects included in this study was negative for ophthalmologic or neurological symptoms not related to mercury toxicity. In particular, the results obtained with fundoscopy and Humphrey automatic campimetry showed no alterations in the central retinal region or central visual field, corresponding to the region subsequently assessed with the psychophysics tests.

Achromatic contrast sensitivity

We evaluated the achromatic contrast sensitivity of 20 mercury-exposed subjects. The results obtained for the exposed subjects were divided into two groups representing their performance with the better or worse eye, respectively. These results can be compared with the norms presented in terms of tolerance limits for 90% of the population with 95% probability (Tables 1 and 2). The norms were based on data for non-exposed subjects grouped according to age: 55 aged 16 to 30 years (mean = 21.3 ± 3.1), 20 aged 31 to 45 years (mean = 35.7 ± 3.5), and 19 aged 46 to 60 years (mean = 53.9 ± 4.4). Nine mercury-exposed subjects (6 gold miners, 1 technician, and 2 riverines) had lower than normal contrast sensitivity in both eyes. An additional technician had lower contrast sensitivity in only one eye. The losses varied among subjects and occurred in spatial frequencies extending from 0.5 to 30 cycles/degree, but very often they were restricted to the intermediate frequencies, between 0.8 and 10 cycles/degree.

Chromatic contrast sensitivity

We evaluated the red-green contrast sensitivity of 11 mercury-exposed subjects. The results obtained for the exposed subjects were divided into two groups representing their performance with the better or worse eye, respectively, and then compared with the norms presented in terms of tolerance limits for 90% of the population with 95% probability (Tables 3 and 4). Two subjects were tested only with the dominant eye and the results were grouped with the better eye performance of the other nine subjects. The norms were based on data from non-exposed subjects stratified into age groups: 45 aged 16 to 30 years (mean = 21.4 ± 2.6), 20 aged 31 to 45 years (mean = 35.7 ± 4.8), and 17 aged 46 to 60 years (mean = 50.5 ± 3.9). Nine of the 11 (82%) mercury-exposed subjects tested (6 gold miners, 2 technicians, and 1 riverine) had lower red-green contrast sensitivity than normal subjects, 5 of them in both eyes. Only the low spatial frequency range was tested. This is the region in which chromatic contrast sensitivity is higher than achromatic contrast sensitivity in human vision (28). The affected subjects had deficits at all tested spatial frequencies, from 0.1 to 1 cycle/degree.

Color arrangement test

We evaluated the ability of 19 mercury-exposed subjects in the Farnsworth-Munsell color arrangement test. The results obtained for the exposed subjects were divided into two groups, representing their performance with the better and worse eye, respectively, and then compared with the norms presented in terms of tolerance limits for 90% of the population with 95% probability (Tables 5 and 6). One subject was tested only with the dominant eye and the results were grouped with the better eye performance of the other ten subjects. The norms were based on data from non-exposed individuals divided into age groups: 82 individuals aged 16 to 30 years (20.7 ± 2.7), 33 individuals aged 31 to 45 years (35.5 ± 4.2), and 17 individuals aged 46 to 60 years (49.9 ± 3.9). Only 4 of the 19 subjects (21%; 3 gold miners and 1 riverine) performed worse than normal subjects in this test, 3 of them (2 gold miners and 1 riverine) with both eyes.

Color discrimination test

Using the Mollon-Reffin test, we estimated the color discrimination thresholds of 9 mercury-exposed subjects. The results obtained for the exposed subjects were divided into two groups representing their performance with the better and worse eye, respectively, and then compared with the norms presented in terms of tolerance limits for 90% of the population with 95% probability (Tables 7 and 8). To discriminate between better and worse eyes we used the MacAdam ellipse area of the field located in the center of the CIE 1976 chromaticity diagram (Ellipse 2). One subject was tested only with the dominant eye and the results were grouped with the better eye performance of the other eight subjects. The norms were based on data for non-exposed individuals divided into age groups: 50 individuals aged 16 to 30 years (20.8 ± 3.0), 19 individuals aged 31 to 45 years (37.1 ± 4.5), and 10 individuals aged 46 to 60 years (51.7 ± 3.6). Five subjects among the 10 tested (50%; 2 gold miners, 2 technicians, and 1 riverine) performed worse than normal subjects in this test, having areas of one or more MacAdam ellipses larger than normal subjects.

Table 1.
Achromatic spatial contrast sensitivity. Norms for each age group.

Table 2.
Achromatic spatial contrast sensitivity. Hg-exposed subjects.

Table 3.
Red-green spatial contrast sensitivity. Norms for each age group.

Table 4.
Red-green spatial contrast sensitivity. Hg-exposed subjects.

Table 5.
Farnsworth-Munsell 100 color arrangement test. Norms for each age group.

Table 6.
Farnsworth-Munsell 100 color arrangement test. Hg-exposed subjects.

Table 7.
Mollon-Reffin color discrimination test. Norms for each age group.

Table 8.
Mollon-Reffin color discrimination test. Hg-exposed subjects.

Discussion

The present results showed impairment in chromatic and achromatic contrast sensitivity and in color discrimination in subjects exposed to mercury vapor or to methyl mercury. All patients studied had initial mercury levels above the current biological threshold for occupational exposure (10,11). However, there is evidence that even mercury levels below these values may have damaging consequences for sensory and motor functions (23,24).

Our results were consistent with those of Lebel et al. (23,24). These investigators tested 29 inhabitants of Amazonian communities who had been exposed to high levels of organic mercury compounds by eating contaminated fish and found a decrease of achromatic contrast sensitivity and of color discrimination in the Lanthony D-15 test. The present results extend their findings by presenting evaluations of subjects exposed to elemental mercury in addition to those exposed to methyl mercury. We also extend their conclusions to the Mollon-Reffin test, which is more refined than the ordering tests and provides quantitative evaluation of color vision loss (31,32). The arrangement tests used by Lebel et al. (23,24) do not offer a truly quantitative sensory assessment, in addition to being influence by extraneous variables such as learning and motivation. Similarly to our own previous results (25) and to those cited in the present paper, there was a wide variability of results, which could be explained by different degrees of individual exposure and the existence of unknown co-factors. Our findings indicate that psychophysical assessment can be used to quantify the degree of visual impairment of mercury-exposed subjects and that some spatial tests, such as the measurement of red-green chromatic contrast, are more sensitive in detecting visual dysfunction caused by mercury toxicity.

Although several of the mercury-exposed subjects had mercury levels in their tissues above the maximum acceptable value proposed by the WHO (10,11) tolerance limits, we made no attempt to correlate mercury concentration in urine, hair, or blood with the degree of color vision defects or other health effects. We adopted this approach because these subjects had already left their exposure environment for a variable amount of time when they were tested psychophysically. At present we are testing a larger group of individuals living in two communities exposed to mercury and one community far from the mercury-exposed region. This will allow us to correlate the amount of mercury in their tissue with the quantitative psychophysics results. There are a number of other diseases that may impair color vision and/or contrast sensitivity, including chronic alcoholism, diabetic retinopathy, and prolonged use of medicines to treat some diseases such as rheumatic disorders (e.g., chloroquine), tuberculosis (e.g., ethambutol), and epilepsy (e.g., vigabatrin). To distinguish the effect of mercury toxicity from possible effects caused by these other factors, a thorough anamnesis was conducted with all subjects. The inclusion criteria required the absence of such factors.

There have been several reports in the literature about the toxic effects of mercury exposure on visual functions of man and other primates. In the later stages of mercury intoxication there is a severe impairment of the peripheral visual field (33). Nevertheless, there are reports of central vision dysfunction, comprising loss of achromatic contrast sensitivity for spatial and temporal modulations (23,24,31,32,34) and loss of color discrimination (31,32,35-37).

The objective of the present study was to evaluate the visual performance of Amazonian gold miners and other workers suffering from mercury poisoning using chromatic and achromatic spatial tasks. The final goal of this project is to suggest specific and sensitive psychophysical protocols that can be used to detect early stages of visual dysfunction due to mercury intoxication. The present study showed that visual psychophysics has a role in the study of mercury toxicity in the Amazon Region. A less expensive and more portable computer is being built to perform visual psychophysics assessment of inhabitants of riverside communities in their place of living.

This portable computer has been tested in a medical expedition to communities located in the Tapajós River basin. We are now expanding our data base to build norms for Amazonian populations of different ages. The results obtained in the Tapajós region and other locations can then be compared against these norms.

Acknowledgments

We thank Ana Laura A. Moura, Carolina T. Pinto, and Ruth Mayanna A. dos Santos, students from the Universidade Federal do Pará who were recipients of CNPq undergraduate fellowships, for help with the tests.

Address for correspondence: L.C.L. Silveira, Universidade Federal do Pará, Núcleo de Medicina Tropical, Av. Generalíssimo Deodoro 92, 66055-240 Belém, PA, Brasil. E-mail: luiz@ufpa.br

Presented at the Symposium on Sensory and Neuropsychological Losses Due to Mercury Intoxication and to Other Neurodegenerative Processes. Studies in Humans and in Animal Models. Águas de Lindóia, SP, Brazil, August 25-29, 2004. Research supported by JICA, CNPq-PNOPG (No. 550663/2001-0), CNPq-PRONEX/SECTAM-FUNTEC (No. 1079), CNPq (No. 471815/2004-7), CAPES-RENOR (No. 07), and CAPES-PROCAD (No. 0019/01-1). D.F. Ventura and L.C.L. Silveira are CNPq research fellows. E.T.B. Damin was the recipient of a graduate CNPq fellowship. A.R. Rodrigues, M.I.T. Côrtes and A.J.O. Castro were recipients of graduate CAPES-PROF fellowships. C.R.B. Souza, A.M. Braga, P.S.S. Rodrigues, and G.A. Mello were recipients of undergraduate CNPq fellowships. This research group is part of the network Rede Instituto Brasileiro de Neurociência (IBN-Net) supported by FINEP.

Received October 27, 2005. Accepted November 6, 2006.

  • 1. Pfeiffer WC, de Lacerda LD. Mercury inputs into the Amazon region, Brazil. Environ Technol Lett 1988; 9: 325-330.
  • 2. Palheta D, Taylor A. Mercury in environmental and biological samples from a gold mining area in the Amazon region of Brazil. Sci Total Environ 1995; 168: 63-69.
  • 3. Malm O, Branches FJ, Akagi H, Castro MB, Pfeiffer WC, Harada M, et al. Mercury and methylmercury in fish and human hair from the Tapajós river basin, Brazil. Sci Total Environ 1995; 175: 141-150.
  • 4. Bidone ED, Castilhos ZC, Cid de Souza TM, Lacerda LD. Fish contamination and human exposure to mercury in the Tapajós River Basin, Pará State, Amazon, Brazil: a screening approach. Bull Environ Contam Toxicol 1997; 59: 194-201.
  • 5. Malm O. Gold mining as a source of mercury exposure in the Brazilian Amazon. Environ Res 1998; 77: 73-78.
  • 6. Lodenius M, Malm O. Mercury in the Amazon. Rev Environ Contam Toxicol 1998; 157: 25-52.
  • 7. Brabo ES, Santos ECO, Jesus IM, Mascarenhas AFS, Faial KF. Mercury contamination of fish and exposures of an indigenous community in Pará State, Brazil. Environ Res 2000; 84: 197-203.
  • 8. dos Santos LS, Muller RC, de Sarkis JE, Alves CN, Brabo ES, Santos EO, et al. Evaluation of total mercury concentrations in fish consumed in the municipality of Itaituba, Tapajós River Basin, Pará, Brazil. Sci Total Environ 2000; 261: 1-8.
  • 9. Lima APS, Müller RCS, Sarkis JES, Alves CN, Bentes MHS, Brabo ES, et al. Mercury contamination in fish from Santarém, Pará, Brazil. Environ Res 2000; 83: 117-122.
  • 10. WHO (World Health Organization), IPCS (International Program on Chemical Safety). Environmental Health Criteria 101: Methylmercury Geneva: World Health Organization; 1990.
  • 11. WHO (World Health Organization), IPCS (International Program on Chemical Safety). Environmental Health Criteria 118: Inorganic Mercury Geneva: World Health Organization; 1991.
  • 12. Pinheiro MC, Guimaraes GA, Nakanishi J, Oikawa T, Vieira JL, Quaresma M, et al. Total mercury in hair samples of inhabitants of Tapajós River, Pará State, Brazil. Rev Soc Bras Med Trop 2000; 33: 181-184.
  • 13. Pinheiro MC, Nakanishi J, Oikawa T, Guimarães GA, Quaresma M, Cardoso B, et al. Exposição humana ao metilmercúrio em comunidades ribeirinhas do Tapajós, Pará, Brasil. Rev Soc Bras Med Trop 2000; 33: 265-269.
  • 14. Pinheiro MC, Harada M, Yasoda E, Nakanishi J, Oikawa T, Vieira JFV, et al. Toxicological and epidemiological data on human exposure to mercury in the Tapajós River basin: 1994-1998. Environ Sci 2003; 10: 99-105.
  • 15. Santos EC, Jesus IM, Brabo ES, Loureiro EC, Mascarenhas AF, Weirich J, et al. Mercury exposures in riverside Amazon communities in Pará, Brazil. Environ Res 2000; 84: 100-107.
  • 16. Harada M, Nakanishi J, Yasoda E, Pinheiro MC, Oikawa T, de Assis GG, et al. Mercury pollution in the Tapajós River basin, Amazon: mercury level of head hair and health effects. Environ Int 2001; 27: 285-290.
  • 17. Hunter D, Bomford RR, Russell DS. Poisoning by methyl mercury compounds. Q J Med 1940; 9: 193-213.
  • 18. Hunter D, Russell DS. Focal cerebellar and cerebellar atrophy in a human subject due to organic mercury compounds. J Neurol Neurosurg Psychiatry 1954; 17: 235-241.
  • 19. McAlpine D, Raki S. Minamata disease: an unusual neurological disorder caused by contaminated fish. Lancet 1958; 2: 629-631.
  • 20. Tsubaki T. Organic mercury intoxication along Agano-river. Clin Neurol 1968; 8: 511-520.
  • 21. Bakir F, Damluji SF, Amin-Zaki L, Murtadha M, Khalidi A, al-Rawi NY, et al. Methylmercury poisoning in Iraq. Science 1973; 181: 230-241.
  • 22. Tamashiro H, Arakaki M, Akagi H, Futatsuka M, Roht LH. Mortality and survival for Minamata disease. Int J Epidemiol 1985; 14: 582-588.
  • 23. Lebel J, Mergler D, Lucotte M, Amorim M, Dolbec J, Miranda D, et al. Evidence of early nervous system dysfunction in Amazonian populations exposed to low-levels of methylmercury. Neurotoxicology 1996; 17: 157-167.
  • 24. Lebel J, Mergler D, Branches F, Lucotte M, Amorim M, Larribe F, et al. Neurotoxic effects of low-level methylmercury contamination in the Amazonian Basin. Environ Res 1998; 79: 20-32.
  • 25. Silveira LCL, Damin ETB, Pinheiro MCN, Rodrigues AR, Moura ALM, Côrtes MIT, et al. Visual dysfunction following mercury exposure by breathing mercury vapour or by eating mercury-contaminated food. In: Mollon JD, Pokorny J, Knoblauch K (Editors), Normal and defective colour vision Oxford: Oxford University Press; 2003. p 407-417.
  • 26. Dixon WJ, Massey FJ. Introduction to Statistical Analysis New York: McGraw-Hill; 1969.
  • 27. Salomão SR, Ventura DF. Large sample population age norms for visual acuities obtained with Vistech-Teller Acuity Cards. Invest Ophthalmol Vis Sci 1995; 36: 657-670.
  • 28. Mullen KT. The contrast sensitivity of human colour vision to red-green and blue-yellow chromatic gratings. J Physiol 1985; 359: 381-400.
  • 29. Mollon JD, Reffin JPA. A computer-controlled colour vision test that combines the principles of Chibret and of Stilling. J Physiol 1989; 414: 5P.
  • 30. Regan BC, Reffin JP, Mollon JD. Luminance noise and the rapid determination of discrimination ellipses in colour deficiency. Vision Res 1994; 34: 1279-1299.
  • 31. Ventura DF, Costa MT, Costa MF, Berezovsky A, Salomao SR, Simoes AL, et al. Multifocal and full-field electroretinogram changes associated with color-vision loss in mercury vapor exposure. Vis Neurosci 2004; 21: 421-429.
  • 32. Ventura DF, Simões AL, Canto-Pereira LHM, Tomaz S, Lago M, Costa MTV, et al. Color vision and contrast sensitivity losses of mercury contaminated industry workers in Brazil. Environ Toxicol Pharmacol 2005; 19: 523-529.
  • 33. Iwata K, Abe H. Neuroophthalmological and pathological studies of organic mercury poisoning, "Minamata Disease" in Japan. In: Tsubaki T, Takahashi H (Editors), Recent advances in Minamata Disease studies. Methylmercury poisoning in Minamata and Niigata, Japan Tokyo: Kodansha; 1986. p 58-74.
  • 34. Mukuno K, Ishikawa S, Okamura R. Grating test of contrast sensitivity in patients with Minamata disease. Br J Ophthalmol 1981; 65: 284-290.
  • 35. Cavalleri A, Gobba F. Reversible color vision loss in occupational exposure to metallic mercury. Environ Res 1998; 77: 173-177.
  • 36. Cavalleri A, Belotti L, Gobba F, Luzzana G, Rosa P, Seghizzi P. Colour vision loss in workers exposed to elemental mercury vapour. Toxicol Lett 1995; 77: 351-356.
  • 37. Canto-Pereira LHM, Lago M, da Costa MF, Rodrigues AR, Saito CA, Silveira LCL, et al. Visual impairment related to occupational exposure in dentists. Environ Toxicol Pharmacol 2005; 19: 517-522.
  • Correspondence and Footnotes

  • Publication Dates

    • Publication in this collection
      12 Feb 2008
    • Date of issue
      Mar 2007

    History

    • Accepted
      06 Nov 2006
    • Received
      27 Oct 2005
    Associação Brasileira de Divulgação Científica Av. Bandeirantes, 3900, Cep: 14049-900 , Tel: +55 16 3630-2778, +55 16 3315-3173 - Ribeirão Preto - SP - Brazil
    E-mail: bjournal@terra.com.br