Biomonitoring of Mercury, Cadmium and Selenium in Fish and the Population of Puerto Nariño, at the Southern Corner of the Colombian Amazon

Alcala-Orozco, Maria; Caballero-Gallardo, Karina; Olívero-Verbel, Jesús

doi:10.1007/s00244-020-00761-8

Cited by 13 publications

(9 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result was consistent with a previous study which reported Cd concentration was higher in females than males, while that Pb was higher in men [3]. However, it has been reported that Cd contents in male were higher than in female, whereas that was not statistically different [7]. The age for all volunteers was different from 15 to 75 years, two groups were classified into according to their age (=<30 and >30).…”

Section: Correlations Between Metal Concentrations and Gender Agesupporting

confidence: 91%

“…Hg concentrations in 5 species was the highest, followed by Pb and Cd, that presented comparable levels [14]. A significant correlation was found between fish consumption and Hg concentrations in hair and blood [7]. However, that the consumption of fish may pose a health risk of Cd and Pb was rarely reported.…”

Section: Correlations Between Metal Concentrations and Lifestyles Dietary Habitmentioning

confidence: 91%

“…Previous studies of heavy metals in human hair were mostly focused on health risks corresponding to a particular area of an open-cast lead-zinc mine, mine contaminated area, industrial regions, and urban environment [3][4][5][6]. Dietary intake of fishes was considered as a main path for human exposure to Hg [7]. Cd and Pb were also main heavy metal contaminants related with human health [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Levels and Influencing Factors of Heavy Metals in Human Hairs from Five Provinces in China

Qin¹,

Jia²,

Luo³

et al. 2021

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Heavy metal concentrations were measured in 150 human hairs samples collected from five provinces in China to investigate heavy metal exposure levels and influencing factors. The gender, age, diet and lifestyle habits of the volunteers were investigated through questionnaires to analyze their effects on hair element concentrations. Metal concentrations in hair were 1.62 μg/g (Mn), 0.99 μg/g (Co), 0.22 μg/g (Cd) and 8.49 μg/g (Pb), which were low compared with those reported in mine contaminated areas. Cd concentration was higher in females than males, Pb concentration was lower in the elder group and the younger group. No difference of Cd and Co concentrations among rice consumers and/or wheat consumers was found. Pb concentration in rice consumers were higher than those in rice and/or wheat consumers. Fish consumption were a factor affecting hair Cd and Pb levels, while smoking was not one main pathway of hair Cd and Pb exposure.

show abstract

Section: Correlations Between Metal Concentrations and Gender Agesupporting

confidence: 91%

Section: Correlations Between Metal Concentrations and Lifestyles Dietary Habitmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Levels and Influencing Factors of Heavy Metals in Human Hairs from Five Provinces in China

Qin¹,

Jia²,

Luo³

et al. 2021

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

show abstract

“…The third branch at layer 2 included blood total mercury, inorganic mercury and methyl mercury, urinary mercury adjusted for creatinine, lymphocytes and neutrophils and the liver function enzymes AST, ALT and GGT. Correlation of mercury biomarkers is expected since inorganic mercury is calculated from total mercury and methyl-mercury, and mercury biomarkers have previously been associated with lymphocyte and neutrophil counts [45] . Furthermore, methyl-mercury undergoes enterohepatic excretion [46] and therefore correlation with liver function is unsurprising.…”

Section: Discussionmentioning

confidence: 99%

Total correlation explanation of toxic metal concentrations and physiological biomarkers amongst NHANES participants

Rooney

Boese-O'Reilly

Rakete

2021

Preprint

View full text Add to dashboard Cite

Introduction: Unravelling the health effects of multiple pollutants presents scientific and computational challenges. CorEx is an unsupervised learning algorithm that can efficiently discover multiple latent factors in highly multivariate datasets. Here, we used the CorEx algorithm to perform a hypothesis free analysis of demographic, biochemical, and toxic metal biomarker data. Methods: Our data included 77 variables from 2,750 adult participants of the National Health and Nutrition Examination Survey (NHANES 2015-2016). We used an implementation of the CorEx algorithm designed to deal with the features of bioinformatic datasets including mixed data-types. Models were fit for a range of possible latent variables and the best fit model was selected as that which resulted in the largest Total Correlation (TC) after adjustment for the number of parameters. Successive layers of CorEx were run to discovered hierarchical data structure. Results: The CorEx algorithm identified 20 variable clusters at the first layer. For the majority clusters, the associations between variables were consistent with known associations - e.g. gender and the hormones, estradiol and testosterone were included in the first cluster; blood organic mercury and blood total mercury were grouped in cluster 4, and cluster 6 included the liver function enzymes ALT, AST and GGT. At the second layer, 3 branches of were identified reflecting hierarchical structure. The first branch included numerous physiological biomarkers and several exogenous biomarkers. The second branch included a number endogenous and exogenous variables previously associated with hypertension, while the third branch included mercury biomarkers and some related endogenous biomarkers. Discussion: We have demonstrated the CorEx algorithm as a useful tool for hypothesis free exploration of a biomedical dataset. This work extends previous implementations of CorEx by allowing mixed data-types to be modelled and the results showed that CorEx detected meaningful hierarchical structure. CorEx may facilitate exploration of novel datasets in future.

show abstract

“…It is well known that these activities generate a negative impact that affects natural resources, which in turn, affects the well-being of people. Therefore, various studies have evidenced the presence of this metal in multiple environmental and human matrices, deteriorating the quality of aquatic ecosystems [63], soils [45], fish [64], and human health [48,[65][66][67]. Thus, the use of Hg in this type of activities has made it one of the most dangerous pollutants in the environment, in fact, for WHO, this metal is in the top ten of substances of special interest, and which pose major public health problems [68].…”

Section: Environmental and Human Health Impactsmentioning

confidence: 99%

Socio-Economic and Environmental Implications of Gold Mining in Afro-Descendant Communities from Colombia

Alcala-Orozco¹,

Palomares-Bolaños²,

Álvarez-Ortega³

et al. 2021

Improving Quality of Life - Exploring Standard of Living, Wellbeing, and Community Development

Self Cite

View full text Add to dashboard Cite

The ethnic diversity of Colombia is one of the most attractive characteristics of the country, which includes the Afro-descendants, Raizal and Palenquero populations, who have lead an ancestral lifestyle that is an essential component of the culture and heritage of the nation. Thus, the well-being of these communities is translated into a primary need to guarantee their quality of life, in addition to generate a contribution to their struggle for the recognition, inclusion and guarantee of their fundamental rights. In this chapter, a bibliographic analysis was performed in order to evaluate both the conditions in which the Afro collective territories are found, and the different forms of organization of the populations entitled as community councils, with a particular focus on vulnerable populations located in the department of Cauca. In addition, a conceptual diagnosis of the multiple socioeconomic, environmental and health impacts derived from gold mining in Colombia was developed, with special interest in the studies that have been carried out in populations located in areas of great biodiversity, including the Colombian Amazon, biogeographic Chocó and Bolívar, departments in which Afro-descendant communities also live. Finally, a detailed analysis of the different aspects of mining that affect the quality of life and the welfare state of the communities is provided, and some aspects are proposed to be taken into account by the actors involved to achieve the least negative impacts of these activities, emphasizing the current state of the Colombian case.

show abstract

Biomonitoring of Mercury, Cadmium and Selenium in Fish and the Population of Puerto Nariño, at the Southern Corner of the Colombian Amazon

Cited by 13 publications

References 95 publications

Levels and Influencing Factors of Heavy Metals in Human Hairs from Five Provinces in China

Levels and Influencing Factors of Heavy Metals in Human Hairs from Five Provinces in China

Total correlation explanation of toxic metal concentrations and physiological biomarkers amongst NHANES participants

Socio-Economic and Environmental Implications of Gold Mining in Afro-Descendant Communities from Colombia

Contact Info

Product

Resources

About