The Validity of Benchmark Dose Limit Analysis for Estimating Permissible Accumulation of Cadmium.
Soisungwan SatarugDavid A VeseyGlenda Carolyn GobeAleksandra Buha ĐorđevićPublished in: International journal of environmental research and public health (2022)
Cadmium (Cd) is a toxic metal pollutant that accumulates, especially in the proximal tubular epithelial cells of kidneys, where it causes tubular cell injury, cell death and a reduction in glomerular filtration rate (GFR). Diet is the main Cd exposure source in non-occupationally exposed and non-smoking populations. The present study aimed to evaluate the reliability of a tolerable Cd intake of 0.83 μg/kg body weight/day, and its corresponding toxicity threshold level of 5.24 μg/g creatinine. The PROAST software was used to calculate the lower 95% confidence bound of the benchmark dose (BMDL) values of Cd excretion (E Cd ) associated with injury to kidney tubular cells, a defective tubular reabsorption of filtered proteins, and a reduction in the estimated GFR (eGFR). Data were from 289 males and 445 females, mean age of 48.1 years of which 42.8% were smokers, while 31.7% had hypertension, and 9% had chronic kidney disease (CKD). The BMDL value of E Cd associated with kidney tubular cell injury was 0.67 ng/L of filtrate in both men and women. Therefore, an environmental Cd exposure producing E Cd of 0.67 ng/L filtrate could be considered as Cd accumulation levels below which renal effects are likely to be negligible. A reduction in eGFR and CKD may follow when E Cd rises from 0.67 to 1 ng/L of filtrate. These adverse health effects occur at the body burdens lower than those associated with E Cd of 5.24 µg/g creatinine, thereby arguing that current health-guiding values do not provide a sufficient health protection.
Keyphrases
- chronic kidney disease
- nk cells
- cell death
- healthcare
- public health
- small cell lung cancer
- body weight
- magnetic resonance
- physical activity
- heavy metals
- single cell
- oxidative stress
- tyrosine kinase
- body mass index
- risk assessment
- computed tomography
- cell cycle arrest
- deep learning
- electronic health record
- weight loss
- endothelial cells
- data analysis