Literature DB >> 29112452

High-throughput prediction of nephrotoxicity in humans.

Lit-Hsin Loo1, Daniele Zink2.   

Abstract

The Lush Science Prize 2016 was awarded to Daniele Zink and Lit-Hsin Loo for the interdisciplinary and collaborative work between their research groups in developing alternative methods for the prediction of nephrotoxicity in humans. The collaboration has led to the establishment of a series of pioneering alternative methods for nephrotoxicity prediction, which includes: predictive gene expression markers based on pro-inflammatory responses; predictive in vitro cellular models based on pluripotent stem cell-derived proximal tubular-like cells; and predictive cellular phenotypic markers based on chromatin and cytoskeletal changes. A high-throughput method was established for chemical testing, which is currently being used to predict the potential human nephrotoxicity of ToxCast compounds in collaboration with the US Environmental Protection Agency. Similar high-throughput imaging-based methodologies are currently being developed and adapted by the Zink and Loo groups, to include other human organs and cell types. The ultimate goal is to develop a portfolio of methods accepted for the accurate prediction of human organ-specific toxicity and the consequent replacement of animal experiments. 2017 FRAME.

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Year:  2017        PMID: 29112452     DOI: 10.1177/026119291704500506

Source DB:  PubMed          Journal:  Altern Lab Anim        ISSN: 0261-1929            Impact factor:   1.303


  3 in total

1.  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

2.  Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence.

Authors:  Jia-Ying Joey Lee; James Alastair Miller; Sreetama Basu; Ting-Zhen Vanessa Kee; Lit-Hsin Loo
Journal:  Arch Toxicol       Date:  2018-04-28       Impact factor: 5.153

3.  Prioritization of chemicals in food for risk assessment by integrating exposure estimates and new approach methodologies: A next generation risk assessment case study.

Authors:  Mirjam Luijten; R Corinne Sprong; Emiel Rorije; Leo T M van der Ven
Journal:  Front Toxicol       Date:  2022-09-19
  3 in total

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