The relationship between cadmium in kidney and cadmium in urine and blood in an environmentally exposed population
Highlights
► The first study of the relation between Cd in kidney, blood and urine at low U-Cd ► Simultaneous samples were collected from healthy kidney donors. ► There was a nonlinear relationship between cadmium in kidney and urine. ► Estimates of the kidney cadmium half-time were 18–44 years, depending on model used. ► Previous data seem to underestimate kidney cadmium at low urinary cadmium.
Introduction
Cadmium (Cd) is a serious environmental contaminant which accumulates in the kidney and can potentially affect human health at relatively low concentrations. It is toxic to the kidney, especially the proximal tubular cells, but can also cause bone demineralization (EFSA, 2009, Ferraro et al., 2010, Jarup and Akesson, 2009, Jarup et al., 1998, Nawrot et al., 2010, Nordberg et al., 2007, Prozialeck and Edwards, 2010, Satarug et al., 2010). Soil and water are contaminated through airborne deposition, and soil concentrations are further increased by the use of fertilizers or sewage sludge on agricultural farm fields (EFSA, 2009, Nawrot et al., 2010, Nordberg et al., 2007, Prozialeck and Edwards, 2010, Satarug et al., 2010). Cadmium from the soil is accumulated in the crops, and diet is the main source of Cd exposure in the general population. For smokers, tobacco consumption is also an important route of exposure. Gastrointestinal Cd absorption in humans from dietary exposure is 3–5%, while Cd absorption from inhalation is 10–50% (EFSA, 2009, Nawrot et al., 2010, Nordberg et al., 2007, Prozialeck and Edwards, 2010, Satarug et al., 2010). When absorbed, Cd binds to proteins in the blood and is transported to the liver where it is bound to metallothionein. The Cd-metallothionein complex is filtered in the renal glomerulus, reabsorbed in the tubular cells, and accumulated in the kidney with a biological half-time ranging from 10 to 30 years (EFSA, 2009, Jarup and Akesson, 2009, Nawrot et al., 2010, Nordberg et al., 2007). Approximately 50% of the total Cd body burden is accumulated in the kidney. Absorbed Cd is excreted in urine and feces (EFSA, 2009, Jarup and Akesson, 2009, Nordberg et al., 2007).
Urinary Cd (U-Cd) and blood Cd (B-Cd) are widely used as biomarkers to assess exposure or body burden of Cd in the general population (Jarup et al., 1998). U-Cd is considered to reflect the kidney burden and body burden of Cd, while B-Cd is considered to be the most valid marker of recent exposure (EFSA, 2009, Jarup et al., 1998, Nordberg et al., 2007). Close relationships between the concentrations of Cd in the kidney, urine, and blood are anticipated at steady state. If a linear relationship between K-Cd and U-Cd is assumed, a U-Cd concentration of 2.5 μg/g creatinine corresponds to a concentration of about 50 μg/g in the kidney, giving a U-Cd/K-Cd ratio of about 1:20 (EFSA, 2009, Jarup et al., 1998, Nordberg et al., 2007).
Until now, information about the relationship between K-Cd, U-Cd, and B-Cd has mainly been collected by in vivo measurements using X-ray fluorescence (XRF) (Borjesson and Mattsson, 1995, Borjesson et al., 1997, Borjesson et al., 2001, Christoffersson et al., 1987, Nilsson et al., 1995, Nilsson et al., 2000) or neutron activation (Ellis et al., 1983, Mason et al., 1999, Roels et al., 1981), or by autopsy studies (Orlowski et al., 1998, Satarug et al., 2002). However, most in vivo studies have been performed in occupationally exposed workers, and the techniques are not sensitive enough for investigating the relationship between K-Cd and biomarkers of Cd at the low-level exposure occurring in the general population (Nilsson et al., 1995, Nilsson et al., 2000). Autopsy cases may not be representative of the healthy part of the population, and Cd levels in urine and blood may change post mortem. Moreover, data concerning diet and smoking habits may be uncertain in autopsy studies.
Our study is the first to provide empirical data on Cd levels in the kidney cortex, urine, and blood of healthy individuals from the general population with low-level Cd exposure, using analytical methods which can precisely quantify kidney Cd at very low concentrations. Our aims for this study were to determine the relationship between Cd in kidney and Cd in urine, and thereby estimate the elimination half-time of Cd in kidney, and to investigate factors affecting U-Cd excretion and the relationships between Cd in kidney, urine, and blood.
Section snippets
Study participants
Between 1999 and 2005, 152 healthy kidney donors (65 men and 87 women) were recruited as described previously (Barregard et al., 2010). Their median age was 50 years (range 20–70), and 91 out of 151 (60%) were current or former smokers (smoking history was missing for one woman). Before acceptance as a kidney donor, the participants had been examined with routine tests less than one year before the transplantation. Glomerular filtration rate (GFR) (mL/min/1.73 m2 body surface area) was measured,
Associations between kidney Cd and Cd biomarkers
The mean kidney Cd concentration (K-Cdconc) was 15.0 μg/g for all participants, 17.9 μg/g and 10.4 μg/g for ever-smokers and never-smokers respectively, and 17.1 μg/g and 12.5 μg/g for women and men respectively, as described previously (Barregard et al., 2010). Cadmium concentrations in kidney, urine, and blood among participants with a kidney biopsy, along with correlations between K-Cd and the biomarkers, are shown in Table 2. The concentration of Cd in plasma was very low with a mean and range
Discussion
This is the first time it has been possible to assess the relationships between cadmium in kidney, urine, and blood using simultaneous measurements of K-Cd, U-Cd, and B-Cd among healthy individuals with low-level Cd exposure. As expected, highly significant correlations were found between Cd in kidney and all biomarkers of Cd in urine (rp = 0.44–0.70), and blood (rp = 0.44) (Fig. 2, Table 2). Strong correlations between Cd in kidney and urine (rp = 0.85 and rp = 0.58) have also been reported for
Conflict of interest
The authors declare that they have no conflicts of interest.
Acknowledgments
We thank Eva Andersson for statistical advice and the Graduate School in Environment and Health for funding. The Graduate School is funded by the University of Gothenburg, Chalmers University of Technology, and the Västra Götaland Region; and is coordinated by the Centre for Environment and Sustainability (GMV).
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