Dual-Modality Detection of Early-Stage Drug-Induced Acute Kidney Injury by an Activatable Probe

ACS Sensors ◽  
2020 ◽  
Vol 5 (8) ◽  
pp. 2457-2466
Author(s):  
Lingyan Liu ◽  
Liping Jiang ◽  
Wei Yuan ◽  
Zhongkuan Liu ◽  
Dongya Liu ◽  
...  
2014 ◽  
Vol 4 (21) ◽  
pp. 2463-2474 ◽  
Author(s):  
R. Sundaram ◽  
B. Abhirama ◽  
L. Gowtham ◽  
Gladys Kalpana ◽  
M. Sudha ◽  
...  

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.


2021 ◽  
Vol 10 (2) ◽  
pp. 168
Author(s):  
Anne-Lise Rolland ◽  
Anne-Sophie Garnier ◽  
Katy Meunier ◽  
Guillaume Drablier ◽  
Marie Briet

Background: Acute kidney injury (AKI) is a public health concern. Among the pathological situations leading to AKI, drugs are preventable factors but are still under-notified. We aimed to provide an overview of drug-induced AKI (DIAKI) using pharmacovigilance and medical administrative databases Methods: A query of the PMSI database (French Medical Information System Program) of adult inpatient hospital stays between 1 January 2017 and 31 December 2018 was performed using ICD-10 (International Classification of Diseases 10th revision) codes to identify AKI cases which were reviewed by a nephrologist and a pharmacovigilance expert to identify DIAKI cases. In parallel, DIAKIs notified in the French Pharmacovigilance Database (FPVDB) were collected. A capture-recapture method was performed to estimate the total number of DIAKIs. Results: The estimated total number of DIAKIs was 521 (95%CI 480; 563), representing 20.0% of all AKIs. The notification was at a rate of 12.9% (95%CI 10.0; 15.8). According to the KDIGO classification, 50.2% of the DIAKI cases were stage 1 and 49.8% stage 2 and 3. The mortality rate was 11.1% and 9.6% required hemodialysis. Conclusion: This study showed that drugs are involved in a significant proportion of patients developing AKI during a hospital stay and emphasizes the severity of DIAKI cases.


2015 ◽  
Vol 11 (11) ◽  
pp. 1683-1694 ◽  
Author(s):  
Glenda C Gobe ◽  
Jeff S Coombes ◽  
Robert G Fassett ◽  
Zoltan H Endre

2021 ◽  
Vol 546 ◽  
pp. 103-110
Author(s):  
Masayoshi Saito ◽  
Satoshi Horie ◽  
Hidenori Yasuhara ◽  
Akane Kashimura ◽  
Eiji Sugiyama ◽  
...  

2014 ◽  
Vol 280 (1) ◽  
pp. 30-35 ◽  
Author(s):  
Xiaobing Zhou ◽  
Ben Ma ◽  
Zhi Lin ◽  
Zhe Qu ◽  
Yan Huo ◽  
...  

2007 ◽  
Vol &NA; (245) ◽  
pp. 939-942
Author(s):  
Gayathri K Rajakaruna ◽  
Tehreem F Butt

2018 ◽  
Vol 46 (8) ◽  
pp. 930-943 ◽  
Author(s):  
Zaher A. Radi

Pathophysiologically, the classification of acute kidney injury (AKI) can be divided into three categories: (1) prerenal, (2) intrinsic, and (3) postrenal. Emerging evidence supports the involvement of renal tubular epithelial cells and the innate and adaptive arms of the immune system in the pathogenesis of intrinsic AKI. Pro-inflammatory damage-associated molecular patterns, pathogen-associated molecular patterns, hypoxia inducible factors, toll-like receptors, complement system, oxidative stress, adhesion molecules, cell death, resident renal dendritic cells, neutrophils, T and B lymphocytes, macrophages, natural killer T cells, cytokines, and secreted chemokines contribute to the immunopathogenesis of AKI. However, other immune cells and pathways such as M2 macrophages, regulatory T cells, progranulin, and autophagy exhibit anti-inflammatory properties and facilitate kidney tissue repair after AKI. Thus, therapies for AKI include agents such as anti-inflammatory (e.g., recombinant alkaline phosphatase), antioxidants (iron chelators), and apoptosis inhibitors. In preclinical toxicity studies, drug-induced kidney injury can be seen after exposure to a nephrotoxicant test article due to immune mechanisms and dysregulation of innate, and/or adaptive cellular immunity. The focus of this review will be on intrinsic AKI, as it relates to the immune and renal systems cross talks focusing on the cellular and pathophysiologic mechanisms of AKI.


2020 ◽  
Vol 35 (5) ◽  
pp. 225-229
Author(s):  
Alexia S. Alvarez ◽  
Oluseyi Oyerinde ◽  
Justin P. Reinert

Structural and functional degeneration of the kidneys occur as the human body ages, making oler people especially susceptible to the consequences of acute kidney injury. Furthermore, the use of nephrotoxic agents, combined with the increased incidence of acute kidney injury and likelihood of an intensive-care unit admission, makes geriatric patients prone to develop drug-induced kidney disease. Vancomycin is routinely used as the first-line treatment for methicillin-resistant Staphylococcus aureus, but is known to be nephrotoxic; studies have shown that an early switch from vancomycin to alternatives does not necessarily prevent renal insult. Therefore, we aim to discuss the mechanisms of drug-induced kidney disease with regard to vancomycin, daptomycin, and ceftaroline and to provide insight as to their safety profiles with regard to older people. A clear understanding of this topic will aid clinicians in selecting drug therapy and may lead to shortened hospital stays, lower hospital costs, and improved outcomes of critically ill older people.


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