Literature DB >> 35721273

In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities.

Arianna Bassan1, Vinicius M Alves2, Alexander Amberg3, Lennart T Anger4, Lisa Beilke5, Andreas Bender6,7, Autumn Bernal8, Mark T D Cronin9, Jui-Hua Hsieh2, Candice Johnson10, Raymond Kemper11, Moiz Mumtaz12, Louise Neilson13, Manuela Pavan1, Amy Pointon14, Julia Pletz9, Patricia Ruiz12, Daniel P Russo15,16, Yogesh Sabnis17, Reena Sandhu18, Markus Schaefer3, Lidiya Stavitskaya19, David T Szabo20, Jean-Pierre Valentin17, David Woolley21, Craig Zwickl22, Glenn J Myatt10.   

Abstract

The kidneys, heart and lungs are vital organ systems evaluated as part of acute or chronic toxicity assessments. New methodologies are being developed to predict these adverse effects based on in vitro and in silico approaches. This paper reviews the current state of the art in predicting these organ toxicities. It outlines the biological basis, processes and endpoints for kidney toxicity, pulmonary toxicity, respiratory irritation and sensitization as well as functional and structural cardiac toxicities. The review also covers current experimental approaches, including off-target panels from secondary pharmacology batteries. Current in silico approaches for prediction of these effects and mechanisms are described as well as obstacles to the use of in silico methods. Ultimately, a commonly accepted protocol for performing such assessment would be a valuable resource to expand the use of such approaches across different regulatory and industrial applications. However, a number of factors impede their widespread deployment including a lack of a comprehensive mechanistic understanding, limited in vitro testing approaches and limited in vivo databases suitable for modeling, a limited understanding of how to incorporate absorption, distribution, metabolism, and excretion (ADME) considerations into the overall process, a lack of in silico models designed to predict a safe dose and an accepted framework for organizing the key characteristics of these organ toxicants.

Entities:  

Keywords:  Computational toxicology; Expert alerts; Hazard identification; Heart; In Silico; In Silico toxicology protocols; Kidney; Lung; Organ toxicity; QSAR; Read-across; Risk assessment

Year:  2021        PMID: 35721273      PMCID: PMC9205464          DOI: 10.1016/j.comtox.2021.100188

Source DB:  PubMed          Journal:  Comput Toxicol        ISSN: 2468-1113


  157 in total

1.  Evaluation of in silico models for the identification of respiratory sensitizers.

Authors:  Sander Dik; Janine Ezendam; Albert R Cunningham; Carl Alex Carrasquer; Henk van Loveren; Emiel Rorije
Journal:  Toxicol Sci       Date:  2014-09-19       Impact factor: 4.849

Review 2.  A practical guide to secondary pharmacology in drug discovery.

Authors:  Stephen Jenkinson; Friedemann Schmidt; Lyn Rosenbrier Ribeiro; Annie Delaunois; Jean-Pierre Valentin
Journal:  J Pharmacol Toxicol Methods       Date:  2020-04-14       Impact factor: 1.950

3.  Performance of Machine Learning Algorithms for Qualitative and Quantitative Prediction Drug Blockade of hERG1 channel.

Authors:  Soren Wacker; Sergei Yu Noskov
Journal:  Comput Toxicol       Date:  2017-05-13

4.  Prediction of drug-related cardiac adverse effects in humans--B: use of QSAR programs for early detection of drug-induced cardiac toxicities.

Authors:  Anna A Frid; Edwin J Matthews
Journal:  Regul Toxicol Pharmacol       Date:  2009-11-24       Impact factor: 3.271

Review 5.  Lung Circulation.

Authors:  Karthik Suresh; Larissa A Shimoda
Journal:  Compr Physiol       Date:  2016-03-15       Impact factor: 9.090

Review 6.  Preclinical cardiac safety assessment of drugs.

Authors:  Gilles Hanton
Journal:  Drugs R D       Date:  2007

7.  Concise Review: Current and Emerging Biomarkers of Nephrotoxicity.

Authors:  Elijah J Weber; Jonathan Himmelfarb; Edward J Kelly
Journal:  Curr Opin Toxicol       Date:  2017-04-12

8.  In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers.

Authors:  Chuipu Cai; Jiansong Fang; Pengfei Guo; Qi Wang; Huixiao Hong; Javid Moslehi; Feixiong Cheng
Journal:  J Chem Inf Model       Date:  2018-05-10       Impact factor: 4.956

Review 9.  Natural products modulating the hERG channel: heartaches and hope.

Authors:  Jadel M Kratz; Ulrike Grienke; Olaf Scheel; Stefan A Mann; Judith M Rollinger
Journal:  Nat Prod Rep       Date:  2017-08-02       Impact factor: 13.423

10.  Unlocking the potential of in silico chemical safety assessment - A report on a cross-sector symposium on current opportunities and future challenges.

Authors:  Mark T D Cronin; Judith C Madden; Chihae Yang; Andrew P Worth
Journal:  Comput Toxicol       Date:  2019-05
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  1 in total

1.  Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches.

Authors:  Kevin M Crofton; Arianna Bassan; Mamta Behl; Yaroslav G Chushak; Ellen Fritsche; Jeffery M Gearhart; Mary Sue Marty; Moiz Mumtaz; Manuela Pavan; Patricia Ruiz; Magdalini Sachana; Rajamani Selvam; Timothy J Shafer; Lidiya Stavitskaya; David T Szabo; Steven T Szabo; Raymond R Tice; Dan Wilson; David Woolley; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2022-03-17
  1 in total

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