Literature DB >> 25628403

FutureTox II: in vitro data and in silico models for predictive toxicology.

Thomas B Knudsen1, Douglas A Keller2, Miriam Sander1, Edward W Carney1, Nancy G Doerrer1, David L Eaton1, Suzanne Compton Fitzpatrick1, Kenneth L Hastings1, Donna L Mendrick1, Raymond R Tice1, Paul B Watkins3, Maurice Whelan1.   

Abstract

FutureTox II, a Society of Toxicology Contemporary Concepts in Toxicology workshop, was held in January, 2014. The meeting goals were to review and discuss the state of the science in toxicology in the context of implementing the NRC 21st century vision of predicting in vivo responses from in vitro and in silico data, and to define the goals for the future. Presentations and discussions were held on priority concerns such as predicting and modeling of metabolism, cell growth and differentiation, effects on sensitive subpopulations, and integrating data into risk assessment. Emerging trends in technologies such as stem cell-derived human cells, 3D organotypic culture models, mathematical modeling of cellular processes and morphogenesis, adverse outcome pathway development, and high-content imaging of in vivo systems were discussed. Although advances in moving towards an in vitro/in silico based risk assessment paradigm were apparent, knowledge gaps in these areas and limitations of technologies were identified. Specific recommendations were made for future directions and research needs in the areas of hepatotoxicity, cancer prediction, developmental toxicity, and regulatory toxicology.
© The Author 2015. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  in silico; in vitro; modeling; predictive toxicology; risk assessment

Mesh:

Year:  2015        PMID: 25628403      PMCID: PMC4318934          DOI: 10.1093/toxsci/kfu234

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  48 in total

1.  Identification and characterization of adverse effects in 21st century toxicology.

Authors:  Douglas A Keller; Daland R Juberg; Natasha Catlin; William H Farland; Frederick G Hess; Douglas C Wolf; Nancy G Doerrer
Journal:  Toxicol Sci       Date:  2012-01-19       Impact factor: 4.849

Review 2.  Disruption of embryonic vascular development in predictive toxicology.

Authors:  Thomas B Knudsen; Nicole C Kleinstreuer
Journal:  Birth Defects Res C Embryo Today       Date:  2011-12

Review 3.  The Connectivity Map: a new tool for biomedical research.

Authors:  Justin Lamb
Journal:  Nat Rev Cancer       Date:  2007-01       Impact factor: 60.716

4.  Serious adverse drug events reported to the Food and Drug Administration, 1998-2005.

Authors:  Thomas J Moore; Michael R Cohen; Curt D Furberg
Journal:  Arch Intern Med       Date:  2007-09-10

5.  Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms.

Authors:  Nicole C Kleinstreuer; Jian Yang; Ellen L Berg; Thomas B Knudsen; Ann M Richard; Matthew T Martin; David M Reif; Richard S Judson; Mark Polokoff; David J Dix; Robert J Kavlock; Keith A Houck
Journal:  Nat Biotechnol       Date:  2014-05-18       Impact factor: 54.908

6.  Defining and modeling known adverse outcome pathways: Domoic acid and neuronal signaling as a case study.

Authors:  Karen H Watanabe; Melvin E Andersen; Niladri Basu; Michael J Carvan; Kevin M Crofton; Kerensa A King; Cristina Suñol; Evelyn Tiffany-Castiglioni; Irvin R Schultz
Journal:  Environ Toxicol Chem       Date:  2011-01       Impact factor: 3.742

7.  Estimating the risk of drug-induced proarrhythmia using human induced pluripotent stem cell-derived cardiomyocytes.

Authors:  Liang Guo; Rory M C Abrams; Joshua E Babiarz; Jennifer D Cohen; Sei Kameoka; Martin J Sanders; Eric Chiao; Kyle L Kolaja
Journal:  Toxicol Sci       Date:  2011-06-20       Impact factor: 4.849

8.  The genome architecture of the Collaborative Cross mouse genetic reference population.

Authors: 
Journal:  Genetics       Date:  2012-02       Impact factor: 4.562

9.  A method for high-throughput gene expression signature analysis.

Authors:  David Peck; Emily D Crawford; Kenneth N Ross; Kimberly Stegmaier; Todd R Golub; Justin Lamb
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

10.  Diversity Outbred Mice Identify Population-Based Exposure Thresholds and Genetic Factors that Influence Benzene-Induced Genotoxicity.

Authors:  John E French; Daniel M Gatti; Daniel L Morgan; Grace E Kissling; Keith R Shockley; Gabriel A Knudsen; Kim G Shepard; Herman C Price; Deborah King; Kristine L Witt; Lars C Pedersen; Steven C Munger; Karen L Svenson; Gary A Churchill
Journal:  Environ Health Perspect       Date:  2014-11-06       Impact factor: 9.031

View more
  24 in total

1.  A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-term Assays.

Authors:  J Christopher Corton; Thomas Hill; Jeffrey J Sutherland; James L Stevens; John Rooney
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

2.  Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.

Authors:  Thomas Hill; John Rooney; Jaleh Abedini; Hisham El-Masri; Charles E Wood; J Christopher Corton
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

3.  FutureTox III: Bridges for Translation.

Authors:  Daland R Juberg; Thomas B Knudsen; Miriam Sander; Nancy B Beck; Elaine M Faustman; Donna L Mendrick; John R Fowle; Thomas Hartung; Raymond R Tice; Emmanuel Lemazurier; Richard A Becker; Suzanne Compton Fitzpatrick; George P Daston; Alison Harrill; Ronald N Hines; Douglas A Keller; John C Lipscomb; David Watson; Tina Bahadori; Kevin M Crofton
Journal:  Toxicol Sci       Date:  2016-10-25       Impact factor: 4.849

4.  Human liver-kidney model elucidates the mechanisms of aristolochic acid nephrotoxicity.

Authors:  Shih-Yu Chang; Elijah J Weber; Viktoriya S Sidorenko; Alenka Chapron; Catherine K Yeung; Chunying Gao; Qingcheng Mao; Danny Shen; Joanne Wang; Thomas A Rosenquist; Kathleen G Dickman; Thomas Neumann; Arthur P Grollman; Edward J Kelly; Jonathan Himmelfarb; David L Eaton
Journal:  JCI Insight       Date:  2017-11-16

5.  Application of the hard and soft, acids and bases (HSAB) theory as a method to predict cumulative neurotoxicity.

Authors:  Fjodor Melnikov; Brian C Geohagen; Terrence Gavin; Richard M LoPachin; Paul T Anastas; Phillip Coish; David W Herr
Journal:  Neurotoxicology       Date:  2020-05-05       Impact factor: 4.294

6.  Programming microphysiological systems for children's health protection.

Authors:  T B Knudsen; B Klieforth; W Slikker
Journal:  Exp Biol Med (Maywood)       Date:  2017-06-28

7.  A human liver microphysiology platform for investigating physiology, drug safety, and disease models.

Authors:  Lawrence A Vernetti; Nina Senutovitch; Robert Boltz; Richard DeBiasio; Tong Ying Shun; Albert Gough; D Lansing Taylor
Journal:  Exp Biol Med (Maywood)       Date:  2015-07-22

8.  Stem Cell-Derived Immature Human Dorsal Root Ganglia Neurons to Identify Peripheral Neurotoxicants.

Authors:  Lisa Hoelting; Stefanie Klima; Christiaan Karreman; Marianna Grinberg; Johannes Meisig; Margit Henry; Tamara Rotshteyn; Jörg Rahnenführer; Nils Blüthgen; Agapios Sachinidis; Tanja Waldmann; Marcel Leist
Journal:  Stem Cells Transl Med       Date:  2016-03-01       Impact factor: 6.940

Review 9.  Airway-On-A-Chip: Designs and Applications for Lung Repair and Disease.

Authors:  Tanya J Bennet; Avineet Randhawa; Jessica Hua; Karen C Cheung
Journal:  Cells       Date:  2021-06-26       Impact factor: 6.600

Review 10.  Rethinking drug design in the artificial intelligence era.

Authors:  Petra Schneider; W Patrick Walters; Alleyn T Plowright; Norman Sieroka; Jennifer Listgarten; Robert A Goodnow; Jasmin Fisher; Johanna M Jansen; José S Duca; Thomas S Rush; Matthias Zentgraf; John Edward Hill; Elizabeth Krutoholow; Matthias Kohler; Jeff Blaney; Kimito Funatsu; Chris Luebkemann; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2019-12-04       Impact factor: 84.694

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.