| Literature DB >> 35407579 |
Daan Kremer1, Niels L Riemersma1, Dion Groothof1, Camilo G Sotomayor1,2,3, Michele F Eisenga1, Adrian Post1, Tim J Knobbe1, Daan J Touw4, Stephan J L Bakker1.
Abstract
The nephrotoxic effects of heavy metals have gained increasing scientific attention in the past years. Recent studies suggest that heavy metals, including cadmium, lead, and arsenic, are detrimental to kidney transplant recipients (KTR) even at circulating concentrations within the normal range, posing an increased risk for graft failure. Thallium is another highly toxic heavy metal, yet the potential consequences of the circulating thallium concentrations in KTR are unclear. We measured plasma thallium concentrations in 672 stable KTR enrolled in the prospective TransplantLines Food and Nutrition Biobank and Cohort Study using inductively coupled plasma mass spectrometry. In cross-sectional analyses, plasma thallium concentrations were positively associated with kidney function measures and hemoglobin. We observed no associations of thallium concentration with proteinuria or markers of tubular damage. In prospective analyses, we observed no association of plasma thallium with graft failure and mortality during a median follow-up of 5.4 [interquartile range: 4.8 to 6.1] years. In conclusion, in contrast with other heavy metals such as lead, cadmium, and arsenic, there is no evidence of tubular damage or thallium nephrotoxicity for the range of circulating thallium concentrations observed in this study. This is further evidenced by the absence of associations of plasma thallium with graft failure and mortality in KTR.Entities:
Keywords: graft failure; heavy metals; kidney transplantation; nephrotoxicity; tubular damage
Year: 2022 PMID: 35407579 PMCID: PMC9000150 DOI: 10.3390/jcm11071970
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Population characteristics at baseline and linear regression analyses for plasma thallium concentration.
| N = 672 | Linear Regression with Plasma Thallium as Dependent Variable | ||
|---|---|---|---|
| Plasma thallium (µg/L) | 0.12 (0.06) | St. β (95% CI) | |
|
| |||
| Female sex, | 285 (42%) | −0.08 (−0.23 to 0.07) | 0.3 |
| Age, y | 53 (13) | −0.12 (−0.20 to −0.04) | 0.002 |
| Primary renal disease, | |||
| Unknown | 103 (15%) | Ref. | |
| Glomerulonephritis | 176 (26%) | 0.08 (−0.17 to 0.32) | 0.5 |
| Interstitial nephritis | 82 (12%) | 0.12 (−0.18 to 0.41) | 0.4 |
| Cystic kidney disease | 139 (20%) | 0.02 (−0.27 to 0.24) | 0.9 |
| Other congenital/hereditary disease | 39 (6%) | 0.01 (−0.38 to 0.36) | 0.9 |
| Renal vascular disease | 37 (6%) | −0.09 (−0.47 to 0.29) | 0.6 |
| Diabetes mellitus | 32 (5%) | −0.14 (−0.54 to 0.29) | 0.5 |
| Other multisystem diseases | 45 (7%) | 0.06 (−0.30 to 0.41) | 0.8 |
| Other | 19 (3%) | −0.01 (−0.48 to 0.51) | 0.9 |
| Height, cm | 174 (10) | 0.02 (−0.06 to 0.09) | 0.7 |
| Weight, kg | 80.7 (16.5) | 0.02 (−0.06 to 0.09) | 0.6 |
| Body surface area, m2 | 1.95 (0.22) | 0.02 (−0.06 to 0.10) | 0.6 |
| Body mass index, kg/m2 | 26.7 (4.8) | 0.01 (−0.06 to 0.09) | 0.8 |
| Systolic blood pressure, mmHg | 136 (17) | −0.07 (−0.15 to 0.01) | 0.07 |
| Diabetes, | 161 (24%) | −0.01 (−0.19 to 0.17) | 0.9 |
| History of cardiovascular disease, | 162 (24%) | 0.00 (−0.18 to 0.18) | 0.9 |
| Smoking status, | |||
| Never | 267 (42%) | Ref. | |
| History of smoking | 285 (45%) | −0.02 (−0.19 to 0.15) | 0.8 |
| Current smoking | 80 (13%) | 0.11 (−0.15 to 0.36) | 0.4 |
| Pre-emptive transplantation, | 107 (16%) | −0.06 (−0.27 to 0.15) | 0.6 |
| Duration of dialysis, months # | 23 [5 to 47] | 0.02 (−0.05 to 0.10) | 0.6 |
| Time after transplantation, y # | 5.4 [1.9 to 12.8] | 0.03 (−0.05 to 0.10) | 0.5 |
| History of rejection, | 177 (26%) | 0.05 (−0.12 to 0.22) | 0.6 |
| History of delayed graft function, | 50 (7%) | −0.06 (−0.35 to 0.23) | 0.7 |
| Living donor, | 232 (35%) | 0.04 (−0.12 to 0.20) | 0.6 |
|
| |||
| Sodium mmol/L | 140.9 (2.8) | 0.00 (−0.08 to 0.08) | 0.9 |
| Potassium, mmol/L | 4.0 (0.5) | −0.03 (−0.05 to 0.10) | 0.5 |
| HbA1c, % # | 5.8 [5.5 to 6.2] | 0.02 (−0.06 to 0.10) | 0.6 |
| Hemoglobin, mmol/L | 8.2 (1.1) | 0.15 (0.07 to 0.22) | <0.001 |
| Leukocyte count, 109/L | 8.1 (2.6) | 0.05 (−0.02 to 0.13) | 0.2 |
| hs-CRP, mg/L # | 1.6 [0.7 to 4.6] | −0.01 (−0.08 to 0.07) | 0.9 |
|
| |||
| Cystatin C, mg/L | 1.88 (0.77) | −0.12 (−0.19 to −0.04) | 0.002 |
| Creatinine, µmol/L # | 124 [99 to 159] | −0.07 (−0.15 to 0.00) | 0.058 |
| eGFR, mL/min/1.73 m2 | 45 (19) | 0.13 (0.05 to 0.21) | 0.001 |
| Creatinine clearance, mL/min | 66 (26) | 0.13 (0.05 to 0.20) | 0.001 |
| Urea, mmol/L # | 9.5 [7.2, 13.3] | −0.10 (−0.18 to −0.03) | 0.007 |
|
| |||
| Urinary protein excretion, g/24 h # | 0.2 [0.0 to 0.5] | −0.01 (−0.09 to 0.06) | 0.7 |
| Urinary liver-type fatty acid-binding protein, µg/24 h # | 2.06 [0.91 to 7.04] | −0.06 (−0.14 to 0.03) | 0.2 |
| Urinary endothelial growth factor/creatinine ratio, ng/mg # | 6.5 [4.1 to 10.8] | 0.08 (−0.00 to 0.16) | 0.053 |
| Plasma neutrophil-gelatinase associated lipocalin, µg/L # | 170 [133 to 232] | −0.07 (−0.15 to 0.00) | 0.065 |
|
| |||
| Cadmium, µg/L | 0.06 [0.04 to 0.07] | −0.14 (−0.21 to −0.06) | <0.001 |
| Lead, µg/L | 0.31 [0.22 to 0.44] | 0.02 (−0.06 to 0.09) | 0.6 |
| Arsenic, µg/L | 1.26 [1.04 to 2.04] | 0.01 (−0.07 to 0.08) | 0.8 |
| Mercury, µg/L | 0.29 [0.14 to 0.63] | 0.07 (−0.01 to 0.14) | 0.088 |
|
| |||
| Antihypertensive drugs, | 592 (88.1) | −0.10 (−0.34 to 0.13) | 0.4 |
| Prednisolone, | 665 (99.0) | −0.14 (−0.89 to 0.60) | 0.7 |
| Calcineurin inhibitor, | 384 (57.1) | −0.07 (−0.22 to 0.09) | 0.4 |
| Proliferation inhibitor, | 560 (83.3) | 0.01 (−0.19 to 0.22) | 0.9 |
| mTOR inhibitor, | 23 (3.4) | 0.13 (−0.29 to 0.55) | 0.5 |
Normally distributed data are presented as the mean ± standard deviation, skewed data as the median [interquartile range], and categorical data as the count (valid percentage). # Variables were log2-transformed to fulfill the assumptions of the linear regression analyses. Diabetes was defined according to the American Diabetes Association criteria [21]. Data on smoking status were missing for 40 patients (6.0%); data on donor age were missing for 19 patients (2.8%); data on HbA1c were missing for 26 patients (3.9%); data on hs-CRP were missing for 39 patients (5.8%); data on urinary endothelial growth factor were missing for 52 patients (7.7%); data on urinary liver-type fatty acid-binding protein were missing for 69 patients (10.1%). All other variables had missing data for ≤10 patients. Abbreviations: eGFR, estimated glomerular filtration rate as calculated using the creatinine and cystatin C-based CKD-EPI formula; hs-CRP, high-sensitivity C-reactive protein; mTOR, mammalian target of rapamycin.
Figure 1Scatter plots and visual presentation of the univariable linear association of plasma thallium concentration with the parameters of kidney function.
Figure 2Scatter plots and visual presentation of the linear association of plasma thallium concentration with the parameters of tubular damage. EGF, endothelial growth factor; NGAL, neutrophil-gelatinase associated lipocalin; L-FABP, liver-type fatty acid-binding protein.
Figure 3Kaplan–Meier analyses for death-censored graft survival and patient survival per tertile of plasma thallium. The p-value represents the significance of difference between the groups as assessed by a log-rank test.
Univariable and adjusted Cox regression analyses of the associations of plasma thallium with graft failure and mortality.
| Graft Failure | All-Cause Mortality | |||
|---|---|---|---|---|
| Model | HR per SD (95% CI) | HR per SD (95% CI) | ||
| Crude | 0.89 (0.72 to 1.10) | 0.3 | 0.87 (0.74 to 1.01) | 0.073 |
| Model 1 | 0.90 (0.72 to 1.11) | 0.6 | 1.02 (0.86 to 1.20) | 0.8 |
| Model 2 | 0.90 (0.72 to 1.11) | 0.3 | 1.00 (0.85 to 1.19) | 0.9 |
| Model 3 | 0.90 (0.72 to 1.13) | 0.4 | 1.02 (0.87 to 1.21) | 0.8 |
In total, 80 patients (11.9%) developed graft failure, and 143 (21.3%) died during the median follow-up of 5.4 [IQR: 4.8 to 6.1] years. Model 1 was adjusted for age, sex, estimated glomerular filtration rate as calculated using the creatinine- and cystatin C-based CKD-EPI formula, and log2 24 h urinary protein excretion. Model 2 was adjusted for the variables in Model 1 plus pre-emptive transplantation and history of cardiovascular disease. Model 3 was adjusted for the variables in model 2 plus log2 plasma cadmium, log2 plasma arsenic, log2 plasma lead, and log2 plasma mercury. CI, confidence interval; HR, hazard ratio; SD, standard deviation.