Plasma cadmium is associated with increased risk of long-term kidney graft failure

نویسندگان

چکیده

The kidney is one of the most sensitive organs to cadmium-induced toxicity, particularly in conditions long-term oxidative stress. We hypothesized that, transplant recipients, nephrotoxic exposure cadmium represents an overlooked hazard for optimal graft function. To test this, we performed a prospective cohort study and included 672 outpatient recipients with functioning beyond year. median plasma was 58 ng/L. During 4.9 years follow-up, 78 developed failure significantly different distribution across tertiles (13, 26, 39 events, respectively). Plasma associated increased risk (hazard ratio 1.96, 95% confidence interval 1.56?2.47 per log2 ng/L). Similarly, dose-response relationship observed over increasing cadmium, after adjustments potential confounders (donor, recipient, lifestyle characteristics), robust both competing sensitivity analyses. These findings were also consistent function decline (graft or doubling serum creatinine). Thus, independently Further studies are needed investigate whether otherwise modifiable factor adverse outcomes populations. Kidney transplantation criterion standard treatment patients end-stage disease (ESKD). Notwithstanding that advances research have largely improved 1-year survival rates 90%, improvement continues lag behind.1Lamb K.E. Lodhi S. Meier-Kriesche H.U. Long-term renal allograft United States: critical reappraisal.Am J Transplant. 2011; 11: 450-462Crossref PubMed Scopus (659) Google Scholar Diagnosis prevention subsidized by systematic identification immune nonimmune mechanisms that—over background donor recipient factors—enclose hazards end points.2Nankivell B.J. Kuypers D.R.J. chronic loss.Lancet. 378: 1428-1437Abstract Full Text PDF (243) There international awareness heavy metals meaningful (CKD) factors.3Jha V. Garcia-Garcia G. Iseki K. et al.Chronic disease: global dimension perspectives.Lancet. 2013; 382: 260-272Abstract (2397) Scholar,4Bikbov B. Purcell C.A. Levey A.S. al.Global, regional, national burden disease, 1990–2017: analysis Global Burden Disease Study 2017.Lancet. 2020; 395 (709–395)Abstract (1247) Cadmium toxic metal, which primary sources general population food tobacco.5Agency Toxic Substances RegistryToxicological profile cadmium. US Department Health Human Services, Public Service, Atlanta, GA2012Google Once absorbed, it retained system long-lasting manner, being organ accumulates causes toxicity. Reason bound metallothionein temporarily stored liver, cadmium-metallothionein complex released into circulation, filtered glomerulus subsequently reabsorbed proximal tubular epithelial cells, wherein half-life up 45 years.6Kazantzis Renal dysfunction abnormalities calcium metabolism workers.Environ Perspect. 1979; 28: 155-159Crossref (73) Scholar, 7Järup L. Persson Elinder C. Decreased glomerular filtration rate solderers exposed cadmium.Occup Environ Med. 1995; 52: 818-822Crossref (88) 8Järup overload toxicity.Nephrol Dial 2002; 17: 35-39Crossref (261) 9Fransson M.N. Barregard Sallsten al.Physiologically-based toxicokinetic model using Markov-chain Monte Carlo concentrations blood, urine, cortex from living donors.Toxicol Sci. 2014; 141: 365-376Crossref (39) Cadmium-induced stress poses major integrity. Its has been damage, proteinuria, dysfunction.7Järup 10Prozialeck W.C. Edwards J.R. Mechanisms tubule injury: new insights implications biomonitoring therapeutic interventions.J Pharmacol Exp Ther. 2012; 343: 2-12Crossref (149) 11Friberg C.G. Kjellstrom T. Environmental Criteria 134: Cadmium. World Organization, Geneva1992Google 12Nordberg Jin Bernard A. al.Low bone density following environmental China.Ambio. 31: 478-481Crossref (145) 13Brzóska M.M. Kami?ski M. Supernak-Bobko D. al.Changes structure rats chronically I. Biochemical histopathological studies.Arch Toxicol. 2003; 77: 344-352Crossref (104) 14Akesson Lundh Vahter al.Tubular effects Swedish women low exposure.Environ 2005; 113: 1627-1631Crossref (351) 15Buser M.C. Ingber S.Z. Raines N. al.Urinary blood lead function: NHANES 2007-2012.Int Hyg Health. 2016; 219: 261-267Crossref (96) 16Huang Choi S.J. Kim D.W. al.Risk assessment low-level arsenic on kidney.J Toxicol 2009; 72: 1493-1498Crossref (70) 17Geeth Gunawardana Martinez R.E. Xiao W. al.Cadmium inhibits intrinsic extrinsic apoptotic pathways mesangial cells.Am Physiol Physiol. 2006; 290: 1074-1082Crossref (35) Both occupational shown be higher urinary excretion damage biomarkers ESKD replacement treatment.7Järup Scholar,14Akesson Scholar,18Buchet J.P. Lauwerys R. Roels H. al.Renal body population.Lancet. 1990; 336: 699-702Abstract (429) 19Kido Nogawa Ishizaki al.Long-term observation creatinine arterial pH persons dysfunction.Arch 45: 35-41Crossref (38) 20Hellström Dahlberg disease.Am Dis. 2001; 38: 1001-1008Abstract (147) 21Järup Hellström Alfvén level early damage: OSCAR study.Occup 2000; 57: 668-672Crossref (306) 22Navas-Acien Tellez-Plaza Guallar E. al.Blood adults: joint analysis.Am Epidemiol. 170: 1156-1164Crossref (252) 23Ferraro P.M. Costanzi Naticchia increases 1999-2006.BMC 2010; 10: 304Crossref (143) Better detection techniques allowing quantification smaller amounts made possible find harmful health below levels formerly considered as thresholds thereby recognition consequences environmental—nonoccupational—exposure metals. Cadmium, particular, CKD even at exposure.14Akesson Scholar,23Ferraro Moreover, settings ongoing stress, nephrotoxicity impaired function, nontoxic.24Shaikh Z.A. Vu T.T. Zaman Oxidative mechanism hepatotoxicity toxicity protection antioxidants.Toxicol Appl Pharmacol. 1999; 154: 256-263Crossref (379) 25Johri Jacquillet Unwin Heavy metal poisoning: kidney.Biometals. 23: 783-792Crossref (418) 26Liu J. Qu Kadiiska M.B. Role carcinogenesis.Toxicol 238: 209-214Crossref (583) (KTRs) due maintenance immunosuppressive therapy, decreased clearance, other, often co-occurring, prooxidant conditions, such aging, hypertension, diabetes.27de Mattos A.M. Olyaei A.J. Bennett W.M. Nephrotoxicity drugs: challenges future.Am 35: 333-346Abstract (367) We, therefore, preserved functioning. date, however, there paucity devoted investigating may contribute points. In Netherlands, relatively other than do not increase exposure,28Sprong R.C. Boon P.E. Dietary Exposure Netherlands. RIVM Letter Report 2015-0085.2015Google makes TransplantLines Food Nutrition Biobank Cohort Study29van den Berg Pasch Westendorp W.H. sulfur metabolites associate favorable cardiovascular benefit recipients.J Am Soc Nephrol. 25: 1303-1312Crossref (59) ideal epidemiological evaluating cadmium—even levels—associates With strong evidence suggesting hazardous susceptible clinical monitoring nontoxic interventions, characterization cadmium-associated provide rationale development novel management strategies post–kidney transplantation.30Andersen O. Chelation cadmium.Environ 1984; 54: 249-266Crossref Although majority circulating red tubule—which part cadmium—may plasma-containing via diffusion cells only its serosal side but luminal where ultrafiltrate, known contain complex.31Zalups R.K. Ahmad Molecular handling transporting epithelia.Toxicol 186: 163-188Crossref (330) Because intermediate kidney, set out association this large KTR. additionally aimed identify subgroups KTR high according pathophysiology-based effect modifiers. secondary analyses, investigated concentration patient (mean age, 53 ± 13 years; 387 [58%] male). mean estimated (eGFR) 43 20 ml/min 1.73 m2. ng/l (interquartile range [IQR], 43?75 ng/l). Using cutoff points 500 1500 concentrations, respectively, single subject each categories.32Prozialeck Early nephrotoxicity.Biometals. 793-809Crossref A detailed description baseline characteristics (tertile 1: ?48 ng/l; tertile 2: 48?68 3: ?69 ng/l) given Table 1.Table 1Baseline recipientsCharacteristicTertiles concentrationsPtrendTertile 1 (?48 ng/l)Tertile 2 (48–68 3 (?69 ng/l)(n = 224)(n 222)(n 226)Demographics anthropometrics Age, yr48 1454 1256 11<0.001 Sex, male142 (63)132 (60)113 (50)0.01 Body mass index, kg/m226.5 4.627.0 4.926.6 4.70.78 Waist circumference, cm98 1499 1599 150.71 Smoking status0.005Never101 (45)94 (42)72 (32)Former90 (40)88 (40)107 (47)Current21 (9)27 (12)32 (14)Alcohol use0.320 g/d18 (8)27 (12)30 (13)0?10 g/d123 (55)127 (57)119 (53)10?30 g/d43 (19)44 (20)44 (20)>30 g/d15 (7)5 (2)10 (4) Systolic pressure, mm Hg134 17136 16137 190.18 Diastolic Hg83 1183 1182 110.60 Use antihypertensive medication187 (84)197 (89)208 (92)0.02 intakeTotal energy intake, kcal/d2259 6332088 6342152 5870.45Cereals, g/d187 (147–231)176 (146–211)178 (138–212)0.21Potatoes, g/d111 (70–146)118 (73–166)122 (76–173)0.29Vegetables, g/d80 (56–116)80 (48–124)75 (53–107)0.54Fruits, g/d100 (48–189)110 (53–197)104 (39–186)0.22Legumes, g/d29 (14–48)30 (18–45)31 (17–43)0.88Nuts, g/d5.6 (1.1–10.6)5.1 (1.9–10.4)4.5 (1.4–8.9)0.41Meat, g/d94 (73–112)95 (77–118)98 (75–117)0.03Dairy products, g/d389 (239–482)374 (245–510)361 (264–514)0.54Fish seafood, g/d13 (7–21)16 (6–23)13 (6–24)0.85Kidney history eGFR, m260 1952 1845 19<0.001 Proteinuria43 (19)50 (23)57 (25)0.31 Urinary protein excretion, g/24 h0.15 (0.02?0.28)0.19 (0.02?0.35)0.21 (0.02?0.45)0.01 Dialysis vintage, mo20 (5?43)25 (10?48)30 (11?55)0.001 Transplant yr7 (3?13)5 (1?12)5 (1?10)0.003 Acute rejection53 (24)64 (29)60 (27)0.46 Cold ischemia time, h13 (2?21)16 (3?21)15 (3?21)0.09 Warm min42 1544 1644 150.36 HLA mismatches2.1 1.52.1 1.62.4 1.60.69 Donor type, deceased133 (59)150 (68)158 (70)0.05Primary disease0.40 Glomerulosclerosis70 (31)61 (28)60 (27) Glomerulonephritis19 (9)19 (9)13 (6) Tubulointerstitial nephritis32 (14)20 (9)24 (11) Polycystic disease40 (18)47 (21)54 (24) hypo/dysplasia10 (5)12 (5)7 (3) Renovascular disease8 (4)15 (7)16 (7) Diabetes7 (3)10 (5)15 Other/miscellaneous38 (17)38 (17)37 (16)Immunosuppressive therapy calcineurin inhibitor110 (49)136 (61)139 (62)0.01 proliferation inhibitor196 (88)180 (81)184 (81)0.12 Corticosteroid dose <10 mg/24 h95 (42)97 (44)84 (37)0.35 Liver parametersASAT, U/l21 (18?26)22 (19?27)22 (18?27)0.09ALAT, U/l19 (14?26)19 (14?26)18 (14?26)0.93Alkaline phosphatase, U/l66 (51?81)67 (55?85)68 (54?91)0.06GGT, U/l25 (19?34)28 (19?46)28 (18?45)0.02 Fasting lipidsTotal cholesterol, mmol/l4.9 1.05.1 1.15.3 1.20.01HDL mmol/l1.4 0.41.4 0.51.4 0.50.39LDL mmol/l2.8 (2.3?3.4)2.8 (2.3?3.6)3.0 (2.4?3.6)0.05Triglycerides, mmol/l1.7 (1.2?2.2)1.6 (1.2?2.1)1.8 (1.3?2.7)0.08 Diabetes glucose homeostasisDiabetes41 (18)58 (26)64 (28)0.03Glucose, mmol/l5.2 (4.7?5.8)5.2 (4.8?6.1)5.3 (4.8?6.2)0.09HbA1C, %5.9 0.76.0 1.06.1 0.80.04 Markers toxicityuEGF, ng/ml5.45 (2.99?8.13)3.99 (2.16?7.21)3.57 (1.47?7.26)<0.001uLFABP, ng/ml0.65 (0.27?2.11)0.91 (0.43?3.13)1.21 (0.50?5.90)<0.001ALAT, alanine aminotransferase; ASAT, aspartate rate; GGT, gamma-glutamyl transferase; HbA1C, glycated hemoglobin; HDL, high-density lipoprotein; HLA, human leukocyte antigen; LDL, low-density uEGF, epidermal growth factor; uLFABP, liver-type fatty acid binding protein.Values presented SD, range), n (%). Differences among studied variance linear regression continuous variables chi-square categorical variables. Open table tab ALAT, protein. Values follow-up (IQR, 3.4?5.5 years), (12%), respectively; P < 0.001) (Figure 1a). crude [HR], 1.89; [CI], 1.47?2.43 0.001). consistently found either middle highest (HR, 2.19; CI, 1.13?4.27 HR, 3.38; 1.80?6.33; respectively) lowest (reference group). multivariable-adjusted these remained materially unchanged (Table Figure 2).33Fine Gray R.J. proportional subdistribution risk.J Stat Assoc. 94: 496-509Crossref (8717) ScholarTable 2Association failureModelCadmium (ng/l)Tertiles cadmiumTertile 1Tertile 2Tertile 3Tertile 3bTertile 3ce values calculated estimate (HR) limit CI closest null third exclusion extreme outliers. Multivariable adjusted age sex. Subsequently, additive adjustment rate, dialysis acute rejection, antigens mismatches, type (model 2); systolic glucose, diabetes 3); smoking alcohol use 4); induction (anti–thymocyte globulin, interleukin-2 receptor antibody, muromonab-CD3, rituximab; 5); dietary intake groups (e.g., cereals, potatoes, vegetables, fruits, legumes, nuts, meat, milk dairy fish seafood; 6).e valuesce 6).(n 672)e 226)(n 194)(n 215)HR (95% CI)PReferenceHR CI)HR CI)Death-censored analysesCrude1.89 (1.47?2.43)<0.0012.48, 1.941.002.19 (1.13?4.27)3.38 (1.80?6.33)3.17 (1.66?6.05)3.29 (1.74?6.20)3.93, 2.29Model 11.96 (1.56?2.47)<0.0012.56, 2.061.002.67 (1.36?5.26)4.31 (2.25?8.22)4.23 (2.16?8.27)4.26 (2.21?8.21)4.78, 2.85Model 21.88 (1.31?2.69)0.0012.46, 1.701.002.49 (1.14?5.43)3.11 (1.41?6.86)2.50 (1.14?5.48)3.09 (1.37?6.93)3.72, 1.79Model 31.87 (1.30?2.69)0.0012.45, 1.691.002.48 (1.14?5.41)3.08 (1.40?6.82)2.47 (1.12?5.42)3.07 (1.36?6.90)3.73, 1.78Model 41.93 (1.36?2.75)<0.0012.52, 1.781.002.57 (1.16?5.70)3.36 (1.50?7.54)3.45 (1.48?5.05)3.34 (1.46?7.64)3.98, 1.92Model 51.87 (1.33–2.62)<0.0012.45, 1.731.002.50 (1.14–5.47)3.03 (1.37–6.69)3.22 (1.40–7.39)2.96 (1.31–6.66)3.62, 1.70Model 61.81 (1.28?2.56)0.0012.38, 1.661.002.31 (1.02?5.22)2.82 (1.25?6.40)2.89 (1.24?5.00)2.76 (1.20?6.35)3.42, 1.53Competing analysesCrude1.90 (1.49?2.42)<0.0012.49, 1.961.002.04 (1.05?3.96)3.09 (1.65?5.78)2.83 (1.48?5.41)2.99 (1.59?5.63)3.65, 2.10Model 11.97 (1.66?2.35)<0.0012.57, 2.191.002.57 (1.33?4.97)4.13 (2.22?7.69)4.01 (2.11?7.63)4.07 (2.17?7.64)4.62, 2.80Model 21.81 (1.43?2.30)<0.0012.38, 1.881.002.17 (1.02?4.62)2.80 (1.32?5.94)2.69 (1.22?5.93)2.69 (1.24?5.80)3.35, 1.59Model 31.81 (1.41?2.30)<0.0012.38, 1.851.002.28 (0.99?5.26)3.00 (1.35?6.67)2.98 (1.30?6.83)2.95 (1.30?6.67)3.61, 1.69Model 41.76 (1.41?2.20)<0.0012.32, 1.851.002.12 (0.99?4.55)2.74 (1.26?5.55)2.70 (1.21?6.04)2.68 (1.22?5.86)3.34, 1.56Model 51.79 (1.42–2.26)<0.0012.35, 1.871.002.15 (0.98–4.71)2.65 (1.22–5.77)2.54 (1.16–5.57)2.54 (1.18–5.45)3.20, 1.49Model 61.99 (1.38?2.85)<0.0012.59, 1.811.001.96 (0.90?4.26)2.66 (1.24?5.68)2.89 (1.24?6.75)2.59 (1.17?5.71)3.25, 1.47CI, interval; ratio.Cox analyses assess (nevents 78), accounting death (with graft) censoring time performing Fine Gray.33Fine Associations variable overall without aall (n 32) bextreme 11) outliers.c e 6). death-censored (a) population, (b) all outliers, (c) Data fitted Cox (58 reference value. black line ratio, gray area interval.View Large Image ViewerDownload Hi-res image Download (PPT) ratio. Effect modification between plasm

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ژورنال

عنوان ژورنال: Kidney International

سال: 2021

ISSN: ['0085-2538', '1523-1755']

DOI: https://doi.org/10.1016/j.kint.2020.08.027