Serial Quantification of Urinary Protein Biomarkers to Predict Drug-induced Acute Kidney Injury

2019 ◽  
Vol 20 (8) ◽  
pp. 656-664 ◽  
Author(s):  
Yi Da ◽  
K. Akalya ◽  
Tanusya Murali ◽  
Anantharaman Vathsala ◽  
Chuen-Seng Tan ◽  
...  

Background: : Drug-induced Acute Kidney Injury (AKI) develops in 10-15% of patients who receive nephrotoxic medications. Urinary biomarkers of renal tubular dysfunction may detect nephrotoxicity early and predict AKI. Methods:: We prospectively studied patients who received aminoglycosides, vancomycin, amphotericin, or calcineurin inhibitors, and collected their serial urine while on therapy. Patients who developed drug-induced AKI (fulfilling KDIGO criteria) were matched with non-AKI controls in a 1:2 ratio. Their urine samples were batch-analyzed at time-intervals leading up to AKI onset; the latter benchmarked against the final day of nephrotoxic therapy in non- AKI controls. Biomarkers examined include clusterin, beta-2-microglobulin, KIM1, MCP1, cystatin-C, trefoil-factor- 3, NGAL, interleukin-18, GST-Pi, calbindin, and osteopontin; biomarkers were normalized with corresponding urine creatinine. Results:: Nine of 84 (11%) patients developed drug-induced AKI. Biomarkers from 7 AKI cases with pre-AKI samples were compared with those from 14 non-AKI controls. Corresponding mean ages were 55(±17) and 52(±16) years; baseline eGFR were 99(±21) and 101(±24) mL/min/1.73m2 (all p=NS). Most biomarker levels peaked before the onset of AKI. Median levels of 5 biomarkers were significantly higher in AKI cases than controls at 1-3 days before AKI onset (all µg/mmol): clusterin [58(8-411) versus 7(3-17)], beta-2-microglobulin [1632(913-3823) versus 253(61-791)], KIM1 [0.16(0.13-0.76) versus 0.07(0.05-0.15)], MCP1 [0.40(0.16-1.90) versus 0.07(0.04-0.17)], and cystatin-C [33(27-2990) versus 11(7-19)], all p<0.05; their AUROC for AKI prediction were >0.80 (confidence intervals >0.50), with average accuracy highest for clusterin (86%), followed by beta-2-microglobulin, cystatin-C, MCP1, and KIM1 (57%) after cross-validation. Conclusion: : Serial surveillance of these biomarkers could improve the lead time for nephrotoxicity detection by days.

2019 ◽  
Vol 4 (5) ◽  
pp. 667-673 ◽  
Author(s):  
Challa Jaswanth ◽  
P.S. Priyamvada ◽  
Bobby Zachariah ◽  
Sathish Haridasan ◽  
Sreejith Parameswaran ◽  
...  

2017 ◽  
Vol 243 (3) ◽  
pp. 272-282 ◽  
Author(s):  
Blessy George ◽  
Melanie S Joy ◽  
Lauren M Aleksunes

Despite recent progress in the development of novel approaches to treat cancer, traditional antineoplastic drugs, such as cisplatin, remain a mainstay of regimens targeting solid tumors. Use of cisplatin is limited by acute kidney injury, which occurs in approximately 30% of patients. Current clinical measures, such as serum creatinine and estimated glomerular filtration rate, are inadequate in their ability to detect acute kidney injury, particularly when there is only a moderate degree of injury. Thus, there is an urgent need for improved diagnostic biomarkers to predict nephrotoxicity. There is also interest by the U.S. Food and Drug Administration to validate and implement new biomarkers to identify clinical and subclinical acute kidney injury in patients during the drug approval process. This minireview provides an overview of the current literature regarding the utility of urinary proteins (albumin, beta-2-microglobulin, N-acetyl-D-glucosaminidase, kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, and cystatin C) as biomarkers for cisplatin-induced AKI. Many of the well-studied urinary proteins (KIM-1, NGAL, B2M, albumin) as well as emerging biomarkers (calbindin, monocyte chemotactic protein-1, and trefoil factor 3) display distinct patterns of time-dependent excretion after cisplatin administration. Implementation of these biomarker proteins in the oncology clinic has been hampered by a lack of validation studies. To address these issues, large head-to-head studies are needed to fully characterize time-dependent responses and establish accurate cutoff values and ranges, particularly in cancer patients. Impact statement There is growing interest in using urinary protein biomarkers to detect acute kidney injury in oncology patients prescribed the nephrotoxic anticancer drug cisplatin. We aim to synthesize and organize the existing literature on biomarkers examined clinically in patients receiving cisplatin-containing chemotherapy regimens. This minireview highlights several proteins (kidney injury molecule-1, beta-2-microglobulin, neutrophil gelatinase-associated lipocalin, calbindin, monocyte chemotactic protein-1, trefoil factor 3) with the greatest promise for detecting cisplatin-induced acute kidney injury in humans. A comprehensive review of the existing literature may aid in the design of larger studies needed to implement the clinical use of these urinary proteins as biomarkers of kidney injury.


2021 ◽  
Vol Volume 14 ◽  
pp. 225-234
Author(s):  
Dhanin Puthiyottil ◽  
PS Priyamvada ◽  
Mattewada Naveen Kumar ◽  
Anand Chellappan ◽  
Bobby Zachariah ◽  
...  

2019 ◽  
Vol 4 (7) ◽  
pp. S71
Author(s):  
P.L.M.M. Albuquerque ◽  
G. Da Silva Jr. ◽  
G.C. Meneses ◽  
A.M.C. Martins ◽  
J. Raubenheimer ◽  
...  

2018 ◽  
Vol 11 (6) ◽  
pp. 797-802 ◽  
Author(s):  
Kevin T Barton ◽  
Aadil Kakajiwala ◽  
Dennis J Dietzen ◽  
Charles W Goss ◽  
Hongjie Gu ◽  
...  

2017 ◽  
Vol 25 (4) ◽  
pp. 533-540 ◽  
Author(s):  
Marta Załęska-Kocięcka ◽  
Anna Skrobisz ◽  
Izabela Wojtkowska ◽  
Maciej Grabowski ◽  
Maciej Dąbrowski ◽  
...  

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