Influence of Household Water Filters on Bacteria Growth and Trace Metals in Tap Water of Doha, Qatar

Nriagu, Jerome O.; Xi, Chuanwu; Siddique, Azhar; Vincent, Annette S.; Shomar, Basem

doi:10.1038/s41598-018-26529-8

Cited by 30 publications

(15 citation statements)

References 47 publications

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“…Given that water reuse is increasingly needed, understanding the impact of WWT on AR is fundamental in order to optimize those treatments aiming at reducing the prevalence of ARGs. For instance, recent analysis of the microbiome of household water filters suggests that, despite of being a good alternative for in-house water treatment, they can also deteriorate the quality of tap water by acting as reservoirs for sludge/slime deposit that might eventually promote biofilm formation and microbial growth in the home water distribution system 52 .…”

Section: Discussionmentioning

confidence: 99%

Metagenomic analysis of an urban resistome before and after wastewater treatment

Lira¹,

Vaz‐Moreira

Tamames³

et al. 2020

Sci Rep

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Determining the effect of wastewater treatment in water resistome is a topic of interest for water quality, mainly under re-use and one-Health perspectives. the resistome, the plasmidome, and the bacterial community composition of samples from influents and treated effluents from a wastewater treatment plant located in northern portugal were studied using metagenomic techniques. Wastewater treatment contributed to reduce the abundance of resistance genes and of plasmid replicons, coinciding with a decline in the number of intrinsic resistance genes from Enterobacteriaceae, as well as with a reduction in the relative abundance of Firmicutes and Proteobacteria after treatment. these taxons comprise bacterial pathogens, including those belonging to the eSKApe group, which encompasses bacteria with the highest risk of acquiring antibiotic resistance, being the most relevant hosts of resistance genes acquired through horizontal gene transfer. our results support that wastewater treatment efficiently removes the hosts of antibiotic resistance genes and, consequently, the harboured antibiotic resistance genes. principal component analysis indicates that the resistome and the bacterial composition clustered together in influent samples, while did not cluster in final effluent samples. our results suggest that wastewater treatment mitigates the environmental dissemination of urban resistome, through the removal of the hosts harbouring mobile resistance genes. Most studies on antibiotic resistance have concentrated their efforts on human pathogens and in human-linked environments (hospitals, human hosts,…). However, the full understanding of the origin, evolution, spread, and maintenance of antibiotic resistance (AR) requires an integrative approach in which all ecosystems that may contribute to such evolution are studied; a One Health approach 1,2. One Heath is a concept derived from the idea proposed by Rudolph Virchow in the 19th Century, stating that "between animal and human medicine there are no dividing lines-nor should there be". The idea behind is that, at least in the case of infectious diseases, different ecosystems, not just the human host, may contribute to the spread of the infective agents. This is particularly relevant in the case of AR, since it is generally accepted that antibiotic resistance genes (ARGs), currently present in human pathogens, are originated in environmental organisms and, therefore, natural ecosystems can be reservoirs and participate in the spread of AR 3-9. Consequently, it has been proposed that AR is the quintessential One Health issue 2 , and that studies, integrating all habitats potentially involved in the evolution and spread of AR are needed 1,10,11. Indeed, seminal work showed that animal farms could be a reservoir of AR 12. As a consequence, the use of antibiotics in farming, for non-therapeutic or prophylactic procedures (as animal fattening), has been banned in different countries 13,14. More recently, non-clinical environments (natural and man-made ecosystems) have been pro...

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Section: Discussionmentioning

confidence: 99%

Metagenomic analysis of an urban resistome before and after wastewater treatment

Lira¹,

Vaz‐Moreira

Tamames³

et al. 2020

Sci Rep

View full text Add to dashboard Cite

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“…Although environmental health data were not available for the Lyon cohort, we did have environmental health data for the patients treated at MD Anderson and found that median and interquartile range (IQR) metal scores remained similar regardless of environmental health status, lifestyle, and comorbidities. In addition to occupational and environmental exposures, multiple factors contribute to excess accumulation of toxic metals and deficiency of essential metals, including implanted metal devices, genetic polymorphisms of metal transporters, metal‐metabolizing enzymes, metal content in drinking water and food, as well as, gastrointestinal dysbiosis . Importantly, several investigators have found increased rates of leukemia and lymphoma in patients with metal knee or hip prostheses .…”

Section: Discussionmentioning

confidence: 99%

A heavy metal baseline score predicts outcome in acute myeloid leukemia

et al. 2020

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Despite abundant epidemiological data linking metals to leukemia and other cancers, baseline values of toxic and essential metals in patients with leukemia and the clinical impact of these metals remain unknown. Thus, we sought to quantify metal values in untreated patients with acute myeloid leukemia (AML) and controls and determine the impact of metal values on AML patients' survival. Serum samples from patients with untreated AML and controls at Hospices Civils de Lyon were analyzed and compared for trace metals and copper isotopic abundance ratios with inductively coupled plasma mass spectrometry. Survival analysis was performed as a function of metal values, and a multi‐metal score was developed for patients with AML. Serum samples were collected from 67 patients with untreated AML and 94 controls. Most patients had intermediate‐risk cytogenetics (63.1%) without FLT3 internal tandem duplication mutations (75.6%) or NPM1 mutations (68.1%). Most metal values differed significantly between AML and control groups. Patients with lower magnesium and higher cadmium values had the worst survival rates, with only 36% surviving at 6 months (P = .001). The adverse prognostic effect of this combination was maintained on multivariate analysis. Based on this, we developed a novel metal score, which accounts for multiple relative abnormalities in the values of five toxic and five essential metals. Patients with a higher metal score had significantly worse survival, which was maintained on multivariate analysis (P = .03). This baseline metal scoring system was also prognostic when we applied it to a separate population of front‐line AML patients.

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“…The metal content of the samples was determined using ICP-MS (Bruker aurora M90). Details can be found in Kuiper et al (2014) , Rowell et al (2014) , Shomar (2015) and Nriagu et al (2018) .…”

Section: Methodsmentioning

confidence: 99%

“…A laboratory blank and SRM were included with each batch of 10 samples. All samples solutions, SRM, and blank solutions were filtered through 0.45 μ m microsyringe filters before being analyzed using the ICP-MS; details on the quality control/quality assurance (QC/QA) can be found in the study of Nriagu et al (2018) .…”

Section: Methodsmentioning

confidence: 99%

A comprehensive risk assessment of toxic elements in international brands of face foundation powders

Shomar

Rashkeev

2021

Environmental Research

Self Cite

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Despite the COVID-19 pandemic and wearing masks in many countries, women are keen on elegance, beauty and the use of face foundations. Assessment of health risks associated with the regular use of face foundation by females is dynamic due to the emerging products. The most common international 14 brands of face foundation powders were collected and the concentrations of different elements (Ag, Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, K, Li, Mg, Mn, Mo, Na, P, Pb, Sb, Se, Sn, V and Zn) in each sample were determined. A combined approach merging the conventional and computational tools was used for investigating the risk of exposure to toxic elements. Monte Carlo simulations were applied to calculate risks associated with twenty elements. We attempted different probability distribution functions for concentrations because the actual distribution functions are not known, and the only data available are the mean value and standard deviation of concentrations obtained from experiment. Our results indicate that the total non-carcinogenic health risk through exposure to different elements (Hazardous Index, HI) does not strongly depend on the choice of the probability distribution function for the concentrations. We also show that taking into account probability distributions of other variables and parameters such as body weight, exposed skin area, skin adhesion, etc. does not significantly change the main result rather just slightly broadening the final Hazardous Index distribution function. We found that calculated HI is well below unity for all considered samples, i.e., the dermal exposure to toxic elements in the considered facial powders is negligible and the considered face foundation powders are quite safe to use.

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Influence of Household Water Filters on Bacteria Growth and Trace Metals in Tap Water of Doha, Qatar

Cited by 30 publications

References 47 publications

Metagenomic analysis of an urban resistome before and after wastewater treatment

Metagenomic analysis of an urban resistome before and after wastewater treatment

A heavy metal baseline score predicts outcome in acute myeloid leukemia

A comprehensive risk assessment of toxic elements in international brands of face foundation powders

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