Literature DB >> 24928565

Towards AOP application--implementation of an integrated approach to testing and assessment (IATA) into a pipeline tool for skin sensitization.

Grace Patlewicz1, Chanita Kuseva2, Antonia Kesova2, Ioanna Popova2, Teodor Zhechev2, Todor Pavlov2, David W Roberts3, Ovanes Mekenyan2.   

Abstract

Since the OECD published the Adverse Outcome Pathway (AOP) for skin sensitization, many efforts have focused on how to integrate and interpret nonstandard information generated for key events in a manner that can be practically useful for decision making. These types of frameworks are known as Integrated Approaches to Testing and Assessment (IATA). Here we have outlined an IATA for skin sensitization which focuses on existing information including non testing approaches such as QSAR and read-across. The IATA was implemented into a pipeline tool using OASIS technology to provide a means of systematically collating and compiling relevant information which could be used in an assessment of skin sensitization potential. A test set of 100 substances with available skin sensitization information was profiled using the pipeline IATA. In silico and in chemico profiling information alone was able to correctly predict skin sensitization potential, with a preliminary accuracy of 73.85%. Information from other relevant endpoints (e.g., Ames mutagenicity) was found to improve the accuracy (to 87.6%) when coupled with a reaction chemistry mechanistic understanding. This pipeline platform could be useful in the assessment of skin sensitization potential and marks a step change in how non testing approaches can be practically applied.
Copyright © 2014 Elsevier Inc. All rights reserved.

Keywords:  (Q)SAR; Adverse Outcome Pathway (AOP); Expert systems; Integrated Approaches to Testing and Assessment (IATA); Read-across; TIMES-SS

Mesh:

Substances:

Year:  2014        PMID: 24928565     DOI: 10.1016/j.yrtph.2014.06.001

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  17 in total

1.  Probabilistic hazard assessment for skin sensitization potency by dose-response modeling using feature elimination instead of quantitative structure-activity relationships.

Authors:  Thomas Luechtefeld; Alexandra Maertens; James M McKim; Thomas Hartung; Andre Kleensang; Vanessa Sá-Rocha
Journal:  J Appl Toxicol       Date:  2015-06-05       Impact factor: 3.446

2.  Application of IATA - A case study in evaluating the global and local performance of a Bayesian network model for skin sensitization.

Authors:  J M Fitzpatrick; G Patlewicz
Journal:  SAR QSAR Environ Res       Date:  2017-04-20       Impact factor: 3.000

3.  Prediction of skin sensitization potency using machine learning approaches.

Authors:  Qingda Zang; Michael Paris; David M Lehmann; Shannon Bell; Nicole Kleinstreuer; David Allen; Joanna Matheson; Abigail Jacobs; Warren Casey; Judy Strickland
Journal:  J Appl Toxicol       Date:  2017-01-10       Impact factor: 3.446

4.  Differentiating Pathway-Specific From Nonspecific Effects in High-Throughput Toxicity Data: A Foundation for Prioritizing Adverse Outcome Pathway Development.

Authors:  Kellie A Fay; Daniel L Villeneuve; Joe Swintek; Stephen W Edwards; Mark D Nelms; Brett R Blackwell; Gerald T Ankley
Journal:  Toxicol Sci       Date:  2018-06-01       Impact factor: 4.849

5.  Integrated decision strategies for skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Nicole Kleinstreuer; Michael Paris; David M Lehmann; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Anna Lowit; David Allen; Warren Casey
Journal:  J Appl Toxicol       Date:  2016-02-06       Impact factor: 3.446

Review 6.  Laboratory Techniques for Identifying Causes of Allergic Dermatitis.

Authors:  Itai Chipinda; Stacey E Anderson; Paul D Siegel
Journal:  Immunol Allergy Clin North Am       Date:  2021-06-05       Impact factor: 3.479

Review 7.  Non-animal methods to predict skin sensitization (II): an assessment of defined approaches *.

Authors:  Nicole C Kleinstreuer; Sebastian Hoffmann; Nathalie Alépée; David Allen; Takao Ashikaga; Warren Casey; Elodie Clouet; Magalie Cluzel; Bertrand Desprez; Nichola Gellatly; Carsten Göbel; Petra S Kern; Martina Klaric; Jochen Kühnl; Silvia Martinozzi-Teissier; Karsten Mewes; Masaaki Miyazawa; Judy Strickland; Erwin van Vliet; Qingda Zang; Dirk Petersohn
Journal:  Crit Rev Toxicol       Date:  2018-02-23       Impact factor: 5.635

Review 8.  Adverse outcome pathways: a concise introduction for toxicologists.

Authors:  Mathieu Vinken; Dries Knapen; Lucia Vergauwen; Jan G Hengstler; Michelle Angrish; Maurice Whelan
Journal:  Arch Toxicol       Date:  2017-06-28       Impact factor: 5.153

9.  Multivariate models for prediction of human skin sensitization hazard.

Authors:  Judy Strickland; Qingda Zang; Michael Paris; David M Lehmann; David Allen; Neepa Choksi; Joanna Matheson; Abigail Jacobs; Warren Casey; Nicole Kleinstreuer
Journal:  J Appl Toxicol       Date:  2016-08-02       Impact factor: 3.446

10.  QSAR models of human data can enrich or replace LLNA testing for human skin sensitization.

Authors:  Vinicius M Alves; Stephen J Capuzzi; Eugene Muratov; Rodolpho C Braga; Thomas Thornton; Denis Fourches; Judy Strickland; Nicole Kleinstreuer; Carolina H Andrade; Alexander Tropsha
Journal:  Green Chem       Date:  2016-10-06       Impact factor: 10.182

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