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Chronic exposure to arsenic (As) is a global concern due to worldwide exposure and adverse effects, and the importance of incorporating bioavailability in the exposure assessment and risk assessment of As is increasing acknowledged. The bioavailability of As is impacted by a number of soil properties, such as pH, clay and metal concentrations. By retrieving 485 data from 32 publications, the aim of this study was to determine the relationship between selected metals (Fe and Al) and As bioavailability. In present study, the bioaccessibility (BAC) data measured by in vitro approaches were converted into bioavailability data based on the previously determined relationship between BAC and bioavailability. The As relative bioavailability (RBA) was summarized to be 24.36 ± 18.49%, which is in the range previously reported. A significant association between Fe concentration and the bioavailability of As was observed while this association varied for different types of RBA data. This disparity may suggest a non-reliable association between Fe and As bioavailability. The correlations between logarithmically transformed total content of Fe + Al and As bioavailability is then outlined: RBA = (−8.40 ± 1.02) × Ln(Fe + Al) + (58.25 ± 4.09), R² = 0.25, p < 0.001, n = 212. Jackknife resampling was also applied to validate the relation between total content of (Fe + Al) and As bioavailability, which suggested that the relation is robust. This is the first pooled study to address the relations between selected metal concentrations and As bioavailability, which may provide some implications to establish soil properties-based RBA prediction for As.
Kaihong Yan; Ravi Naidu; Yanju Liu; Ayanka Wijayawardena; Luchun Duan; Zhaomin Dong. A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil. International Journal of Environmental Research and Public Health 2018, 15, 888 .
AMA StyleKaihong Yan, Ravi Naidu, Yanju Liu, Ayanka Wijayawardena, Luchun Duan, Zhaomin Dong. A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil. International Journal of Environmental Research and Public Health. 2018; 15 (5):888.
Chicago/Turabian StyleKaihong Yan; Ravi Naidu; Yanju Liu; Ayanka Wijayawardena; Luchun Duan; Zhaomin Dong. 2018. "A Pooled Data Analysis to Determine the Relationship between Selected Metals and Arsenic Bioavailability in Soil." International Journal of Environmental Research and Public Health 15, no. 5: 888.
Cadmium (Cd) is a well-known nephrotoxic contaminant, and N-acetyl-β-d-glucosaminidase (NAG) is considered to be an early and sensitive marker of tubular dysfunction. The link between Cd exposure and NAG level enables us to derive the benchmark dose (BMD) of Cd. Although several reports have already documented urinary Cd (UCd)-NAG relationships and BMD estimations, high heterogeneities arise due to the sub-populations (age, gender, and ethnicity) and BMD methodologies being employed. To clarify the influences that these variables exert, firstly, a random effect meta-analysis was performed in this study to correlate the UCd and NAG based on 92 datasets collected from 30 publications. Later, this established correlation (Ln(NAG) = 0.51 × Ln(UCd) + 0.83) was applied to derive the UCd BMD5 of 1.76 μg/g creatinine and 95 % lower confidence limit of BMD5 (BMDL5) of 1.67 μg/g creatinine. While the regressions for different age groups and genders differed slightly, it is age and not gender that significantly affects BMD estimations. Ethnic differences may require further investigation given that limited data is currently available. Based on a comprehensive and systematic literature review, this study is a new attempt to quantify the UCd-NAG link and estimate BMD.
Cuixia Liu; Yubiao Li; Chunshui Zhu; Zhaomin Dong; Kun Zhang; Yanbin Zhao; Yilu Xu. Benchmark dose for cadmium exposure and elevated N-acetyl-β-d-glucosaminidase: a meta-analysis. Environmental Science and Pollution Research 2016, 23, 20528 -20538.
AMA StyleCuixia Liu, Yubiao Li, Chunshui Zhu, Zhaomin Dong, Kun Zhang, Yanbin Zhao, Yilu Xu. Benchmark dose for cadmium exposure and elevated N-acetyl-β-d-glucosaminidase: a meta-analysis. Environmental Science and Pollution Research. 2016; 23 (20):20528-20538.
Chicago/Turabian StyleCuixia Liu; Yubiao Li; Chunshui Zhu; Zhaomin Dong; Kun Zhang; Yanbin Zhao; Yilu Xu. 2016. "Benchmark dose for cadmium exposure and elevated N-acetyl-β-d-glucosaminidase: a meta-analysis." Environmental Science and Pollution Research 23, no. 20: 20528-20538.
This study determined the total and speciated arsenic (As) concentrations and other health-related water quality parameters for unraveling the health risk of As from drinking water to humans. Groundwater samples (n = 62) were collected from three previously unexplored rural areas (Chichawatni, Vehari, Rahim Yar Khan) of Punjab in Pakistan. The mean and median As concentrations in groundwater were 37.9 and 12.7 µg·L−1 (range = 1.5–201 µg·L−1). Fifty three percent groundwater samples showed higher As value than WHO safe limit of 10 µg·L−1. Speciation of As in groundwater samples (n = 13) showed the presence of inorganic As only; arsenite (As(III)) constituted 13%–67% of total As and arsenate (As(V)) ranged from 33% to 100%. For As health risk assessment, the hazard quotient and cancer risk values were 11–18 and 46–600 times higher than the recommended values of US-EPA (i.e., 1.00 and 10−6, respectively). In addition to As, various water quality parameters (e.g., electrical conductivity, Na, Ca, Cl−, NO3−, SO42−, Fe, Mn, Pb) also enhanced the health risk. The results show that consumption of As-contaminated groundwater poses an emerging health threat to the communities in the study area, and hence needs urgent remedial and management measures.
Muhammad Bilal Shakoor; Nabeel Khan Niazi; Irshad Bibi; Mohammad Mahmudur Rahman; Ravi Naidu; Zhaomin Dong; Muhammad Shahid; Muhammad Arshad. Unraveling Health Risk and Speciation of Arsenic from Groundwater in Rural Areas of Punjab, Pakistan. International Journal of Environmental Research and Public Health 2015, 12, 12371 -12390.
AMA StyleMuhammad Bilal Shakoor, Nabeel Khan Niazi, Irshad Bibi, Mohammad Mahmudur Rahman, Ravi Naidu, Zhaomin Dong, Muhammad Shahid, Muhammad Arshad. Unraveling Health Risk and Speciation of Arsenic from Groundwater in Rural Areas of Punjab, Pakistan. International Journal of Environmental Research and Public Health. 2015; 12 (10):12371-12390.
Chicago/Turabian StyleMuhammad Bilal Shakoor; Nabeel Khan Niazi; Irshad Bibi; Mohammad Mahmudur Rahman; Ravi Naidu; Zhaomin Dong; Muhammad Shahid; Muhammad Arshad. 2015. "Unraveling Health Risk and Speciation of Arsenic from Groundwater in Rural Areas of Punjab, Pakistan." International Journal of Environmental Research and Public Health 12, no. 10: 12371-12390.