| Literature DB >> 28592575 |
Guido Filler1,2,3,4, Marta Kobrzynski1,2, Hargun Kaur Sidhu1, Vladimir Belostotsky5, Shih-Han S Huang1,2,3, Chris McIntyre1,2,3, Liju Yang4.
Abstract
OBJECTIVES: Although many secondary effects of high levels of vanadium (V) and chromium (Cr) overlap with symptoms seen in paediatric patients with chronic kidney disease (CKD), their plasma V and Cr levels are understudied.Entities:
Keywords: Chronic renal failure; Environmental Impact on Health; PUBLIC HEALTH; Paediatric nephrology; TOXICOLOGY
Mesh:
Substances:
Year: 2017 PMID: 28592575 PMCID: PMC5734203 DOI: 10.1136/bmjopen-2016-014821
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Patient flow chart. Of the 38 subjects assessed for eligibility in the study, we included 36 in our analysis. These 36 patients had 94 trace element panel measurements. CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate.
Patient demographics
| Variable | n (%) |
| Gender | |
| Male | 22 (58%) |
| Female | 16 (42%) |
| Age group (years) | |
| 4–10 | 18 (47%) |
| 11–15 | 9 (24%) |
| 16–18 | 11 (29%) |
| Primary diagnosis | |
| Hereditary | |
| Renal dysplasia | 11 (31%) |
| Metabolic disorders | 5 (14%) |
| Nephronophthisis | 2 (6%) |
| Autosomal recessive polycystic kidney disease | 2 (6%) |
| Autosomal dominant polycystic kidney disease | 1 (3%) |
| Congenital nephrotic syndrome | 1 (3%) |
| Alport syndrome | 1 (3%) |
| Acquired | |
| Reflux nephropathy | 4 (11%) |
| Haemolytic uremic syndrome | 3 (8%) |
| Glomerulonephritis/focal segmental glomerulosclerosis | 3 (8%) |
| Tubulopathy | 2 (6%) |
| Ischaemic renal Injury | 1 (3%) |
| Kidney transplant | |
| Yes | 13 (36%) |
| No | 23 (64%) |
Paediatric reference intervals used in our study
| Paediatric reference intervals | ||||
| μg/L | μmol/L | |||
| Lower | Upper | Lower | Upper | |
| Vanadium | 0.032 | 0.088 | 0.6 | 1.7 |
| Chromium | 0.13 | 0.31 | 2.5 | 6 |
Paediatric-specific vanadium and chromium reference intervals were not available.
Source: http://www.lhsc.on.ca/lab/memos/Reference_Ranges_for_Trace_Elements_2014_11_03.pdf.
Figure 2Scatter plot of vanadium levels versus estimated glomerular filtration rate (eGFR). Vanadium levels (μg/L) were not normally distributed. The non-linear regression line (one-phase exponential decay) has been included. Glomerular filtration rate was measured in mL/min/1.73 m2. The formula reads: Y=(Y0−Plateau)×exp(−K×x)+Plateau, where Y0 is the value when x is 0, plateau is Y at a large value, K is the rate constant, and the values were Y0=4.555, Plateau=0.1457 and K=0.1111 (GraphPad Prism).
Figure 3Repeated measures plot of first and last vanadium level in those patients who had repeated levels. Vanadium levels (μg/L) were not normally distributed. While the median vanadium level lowered from 0.1510 to 0.1410 µg/L, and many patients demonstrated an increase of their vanadium level with repeated measures, this did not reach statistical significance (p=0.4140, Wilcoxon matched-pairs signed-rank test).
Figure 4Scatter plot of chromium levels versus estimated glomerular filtration rate (eGFR). Chromium levels (μg/L) were not normally distributed. The non-linear regression line (one-phase exponential decay) has been included. Glomerular filtration rate was measured in mL/min/1.73 m2. The formula reads: Y=(Y0−Plateau)×exp(−K×x)+Plateau, where Y0 is the value when x is 0, Plateau is Y at a large value, K is the rate constant, and the values were Y0=1.641, Plateau=0.4841 and K=0.09060 (GraphPad Prism).
Figure 5Repeated measures plot of first and last chromium level in those patients who had repeated levels. Chromium levels (μg/L) were not normally distributed. The median chromium level did not change from 0.44 µg/L and the rise in the values was not statistically significant (p=0.3381, Wilcoxon matched-pairs signed-rank test).
Figure 6Heat map showing the concentration of vanadium in 2014 in various streams around Southwestern Ontario. Map created using 2014 data from the Provincial (Stream) Water Quality Monitoring Network at https://www.ontario.ca/data/provincial-stream-water-quality-monitoring-network in open-source software found at www.openheatmap.com.
Figure 7Heat map showing the concentration of chromium in 2014 in various streams around Southwestern Ontario. Map created using 2014 data from the Provincial (Stream) Water Quality Monitoring Network at https://www.ontario.ca/data/provincial-stream-water-quality-monitoring-network in open-source software found at www.openheatmap.com.