Literature DB >> 31400414

The use of evidence from high-throughput screening and transcriptomic data in human health risk assessments.

Roman Mezencev1, Ravi Subramaniam2.   

Abstract

High throughput screening (HTS) and functional genomics (toxicogenomics) have opened new avenues in toxicity testing. Their advantages include the potential for developing short-term in vivo bioassays and in vitro assays in order to keep pace with the growing backlog of chemicals that need to be evaluated for potential human health risk. In addition, these approaches have the potential to address some of the difficulties that arise with interpreting traditional rodent bioassays, such as the relevance of apical outcomes induced by chemical exposure in animals to humans. The wealth of information associated with the HTS and toxicogenomic data can inform human health risk assessment primarily through (i) insight into potential mechanism of action, (ii) prediction of adverse outcomes of chemical exposures, and (iii) dose-response assessment for derivation of toxicity values. In this article we outline current and expected future progress in these three directions and argue for increased role of HTS and toxicogenomic data in chemical risk assessment. We conclude that these approaches can help fulfill the NRC vision for toxicity testing in the 21st century and we discuss specific examples of chemicals whose health assessments can potentially benefit from available HTS or toxicogenomic data. Published by Elsevier Inc.

Entities:  

Keywords:  Benchmark dose; Carcinogen; Carcinogenicity; Genotoxicity; HTS; High throughput screening; Mode of action; Risk assessment; ToxCast™; Toxicogenomics

Mesh:

Substances:

Year:  2019        PMID: 31400414     DOI: 10.1016/j.taap.2019.114706

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  6 in total

1.  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

2.  A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.

Authors:  Kamin J Johnson; Scott S Auerbach; Eduardo Costa
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

3.  Modernization of chemical risk assessment to make use of novel toxicological data.

Authors: 
Journal:  Toxicol Appl Pharmacol       Date:  2020-03-18       Impact factor: 4.460

Review 4.  Challenges in Bone Tissue Regeneration: Stem Cell Therapy, Biofunctionality and Antimicrobial Properties of Novel Materials and Its Evolution.

Authors:  Oliver Riester; Max Borgolte; René Csuk; Hans-Peter Deigner
Journal:  Int J Mol Sci       Date:  2020-12-27       Impact factor: 5.923

5.  A microRNA or messenger RNA point of departure estimates an apical endpoint point of departure in a rat developmental toxicity model.

Authors:  Kamin J Johnson; Eduardo Costa; Valerie Marshall; Shreedharan Sriram; Anand Venkatraman; Kenneth Stebbins; Jessica LaRocca
Journal:  Birth Defects Res       Date:  2022-05-21       Impact factor: 2.661

6.  The sensitivity of transcriptomics BMD modeling to the methods used for microarray data normalization.

Authors:  Roman Mezencev; Scott S Auerbach
Journal:  PLoS One       Date:  2020-05-15       Impact factor: 3.240

  6 in total

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