Literature DB >> 26260164

A Quantitative Approach to Screen for Nephrotoxic Compounds In Vitro.

Melanie Adler1, Susanne Ramm2, Marc Hafner2, Jeremy L Muhlich2, Esther Maria Gottwald2, Elijah Weber3, Alenka Jaklic3, Amrendra Kumar Ajay4, Daniel Svoboda5, Scott Auerbach6, Edward J Kelly3, Jonathan Himmelfarb7, Vishal S Vaidya8.   

Abstract

Nephrotoxicity due to drugs and environmental chemicals accounts for significant patient mortality and morbidity, but there is no high throughput in vitro method for predictive nephrotoxicity assessment. We show that primary human proximal tubular epithelial cells (HPTECs) possess characteristics of differentiated epithelial cells rendering them desirable to use in such in vitro systems. To identify a reliable biomarker of nephrotoxicity, we conducted multiplexed gene expression profiling of HPTECs after exposure to six different concentrations of nine human nephrotoxicants. Only overexpression of the gene encoding heme oxygenase-1 (HO-1) significantly correlated with increasing dose for six of the compounds, and significant HO-1 protein deregulation was confirmed with each of the nine nephrotoxicants. Translatability of HO-1 increase across species and platforms was demonstrated by computationally mining two large rat toxicogenomic databases for kidney tubular toxicity and by observing a significant increase in HO-1 after toxicity using an ex vivo three-dimensional microphysiologic system (kidney-on-a-chip). The predictive potential of HO-1 was tested using an additional panel of 39 mechanistically distinct nephrotoxic compounds. Although HO-1 performed better (area under the curve receiver-operator characteristic curve [AUC-ROC]=0.89) than traditional endpoints of cell viability (AUC-ROC for ATP=0.78; AUC-ROC for cell count=0.88), the combination of HO-1 and cell count further improved the predictive ability (AUC-ROC=0.92). We also developed and optimized a homogenous time-resolved fluorescence assay to allow high throughput quantitative screening of nephrotoxic compounds using HO-1 as a sensitive biomarker. This cell-based approach may facilitate rapid assessment of potential nephrotoxic therapeutics and environmental chemicals.
Copyright © 2016 by the American Society of Nephrology.

Entities:  

Keywords:  acute renal failure; nephrotoxicity; tubule cells

Mesh:

Substances:

Year:  2015        PMID: 26260164      PMCID: PMC4814182          DOI: 10.1681/ASN.2015010060

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  42 in total

1.  A 3-D organoid kidney culture model engineered for high-throughput nephrotoxicity assays.

Authors:  Anna I Astashkina; Brenda K Mann; Glenn D Prestwich; David W Grainger
Journal:  Biomaterials       Date:  2012-03-22       Impact factor: 12.479

2.  Plasma and urinary heme oxygenase-1 in AKI.

Authors:  Richard A Zager; Ali C M Johnson; Kirsten Becker
Journal:  J Am Soc Nephrol       Date:  2012-03-22       Impact factor: 10.121

Review 3.  Biomarkers for drug-induced renal damage and nephrotoxicity-an overview for applied toxicology.

Authors:  Tobias Christian Fuchs; Philip Hewitt
Journal:  AAPS J       Date:  2011-10-04       Impact factor: 4.009

4.  The limitations of renal epithelial cell line HK-2 as a model of drug transporter expression and function in the proximal tubule.

Authors:  Sarah E Jenkinson; Git W Chung; Ellen van Loon; Nur S Bakar; Abigail M Dalzell; Colin D A Brown
Journal:  Pflugers Arch       Date:  2012-09-27       Impact factor: 3.657

Review 5.  The future of toxicity testing: a focus on in vitro methods using a quantitative high-throughput screening platform.

Authors:  Sunita J Shukla; Ruili Huang; Christopher P Austin; Menghang Xia
Journal:  Drug Discov Today       Date:  2010-08-11       Impact factor: 7.851

6.  Urinary heme oxygenase-1 as a sensitive indicator of tubulointerstitial inflammatory damage in various renal diseases.

Authors:  Tadafumi Yokoyama; Masaki Shimizu; Kazuhide Ohta; Tomoji Yuno; Michiko Okajima; Taizo Wada; Tomoko Toma; Shoichi Koizumi; Akihiro Yachie
Journal:  Am J Nephrol       Date:  2011-04-18       Impact factor: 3.754

Review 7.  Paradigm shift in toxicity testing and modeling.

Authors:  Hongmao Sun; Menghang Xia; Christopher P Austin; Ruili Huang
Journal:  AAPS J       Date:  2012-04-20       Impact factor: 4.009

8.  An elevated pro-inflammatory cytokine response is linked to development of amphotericin B-induced nephrotoxicity.

Authors:  Louis Y A Chai; Mihai G Netea; Bee Choo Tai; Lay Wai Khin; Alieke G Vonk; Boon Wee Teo; Haran T Schlamm; Raoul Herbrecht; J Peter Donnelly; Peter F Troke; Bart-Jan Kullberg
Journal:  J Antimicrob Chemother       Date:  2013-04-03       Impact factor: 5.790

9.  Chemical genomics profiling of environmental chemical modulation of human nuclear receptors.

Authors:  Ruili Huang; Menghang Xia; Ming-Hsuang Cho; Srilatha Sakamuru; Paul Shinn; Keith A Houck; David J Dix; Richard S Judson; Kristine L Witt; Robert J Kavlock; Raymond R Tice; Christopher P Austin
Journal:  Environ Health Perspect       Date:  2011-05-04       Impact factor: 9.031

Review 10.  Improving the human hazard characterization of chemicals: a Tox21 update.

Authors:  Raymond R Tice; Christopher P Austin; Robert J Kavlock; John R Bucher
Journal:  Environ Health Perspect       Date:  2013-04-19       Impact factor: 9.031

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  38 in total

Review 1.  Advances in predictive in vitro models of drug-induced nephrotoxicity.

Authors:  Joanne Y-C Soo; Jitske Jansen; Rosalinde Masereeuw; Melissa H Little
Journal:  Nat Rev Nephrol       Date:  2018-06       Impact factor: 28.314

2.  Human kidney on a chip assessment of polymyxin antibiotic nephrotoxicity.

Authors:  Elijah J Weber; Kevin A Lidberg; Lu Wang; Theo K Bammler; James W MacDonald; Mavis J Li; Michelle Redhair; William M Atkins; Cecilia Tran; Kelly M Hines; Josi Herron; Libin Xu; Maria Beatriz Monteiro; Susanne Ramm; Vishal Vaidya; Martti Vaara; Timo Vaara; Jonathan Himmelfarb; Edward J Kelly
Journal:  JCI Insight       Date:  2018-12-20

3.  Kidneys on Chips: Emerging Technology for Preclinical Drug Development.

Authors:  Catherine K Yeung; Jonathan Himmelfarb
Journal:  Clin J Am Soc Nephrol       Date:  2018-10-01       Impact factor: 8.237

4.  Assessment of cadmium-induced nephrotoxicity using a kidney-on-a-chip device.

Authors:  Zhongyu Li; Lei Jiang; Tingting Tao; Wentao Su; Yaqiong Guo; Hao Yu; Jianhua Qin
Journal:  Toxicol Res (Camb)       Date:  2017-04-25       Impact factor: 3.524

5.  A High-Throughput Screening Assay to Identify Kidney Toxic Compounds.

Authors:  Susanne Ramm; Melanie Adler; Vishal S Vaidya
Journal:  Curr Protoc Toxicol       Date:  2016-08-01

Review 6.  Nanomedicines for renal disease: current status and future applications.

Authors:  Nazila Kamaly; John C He; Dennis A Ausiello; Omid C Farokhzad
Journal:  Nat Rev Nephrol       Date:  2016-10-31       Impact factor: 28.314

7.  Combining Extracellular miRNA Determination with Microfluidic 3D Cell Cultures for the Assessment of Nephrotoxicity: a Proof of Concept Study.

Authors:  Laura Suter-Dick; L Mauch; D Ramp; M Caj; M K Vormann; S Hutter; H L Lanz; J Vriend; R Masereeuw; M J Wilmer
Journal:  AAPS J       Date:  2018-07-23       Impact factor: 4.009

8.  A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro.

Authors:  Susanne Ramm; Petar Todorov; Vidya Chandrasekaran; Anders Dohlman; Maria B Monteiro; Mira Pavkovic; Jeremy Muhlich; Harish Shankaran; William W Chen; Jerome T Mettetal; Vishal S Vaidya
Journal:  Toxicol Sci       Date:  2019-05-01       Impact factor: 4.849

Review 9.  Emerging Kidney Models to Investigate Metabolism, Transport, and Toxicity of Drugs and Xenobiotics.

Authors:  Piyush Bajaj; Swapan K Chowdhury; Robert Yucha; Edward J Kelly; Guangqing Xiao
Journal:  Drug Metab Dispos       Date:  2018-08-03       Impact factor: 3.922

Review 10.  Liver and Kidney on Chips: Microphysiological Models to Understand Transporter Function.

Authors:  S Y Chang; E J Weber; Kp Van Ness; D L Eaton; E J Kelly
Journal:  Clin Pharmacol Ther       Date:  2016-08-27       Impact factor: 6.875

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