Omics in mechanistic and predictive toxicology.

Knowledge Source Identification
Knowledge source name Omics in mechanistic and predictive toxicology.
Owner/Developer Toxicology Mechanisms and Methods
Country United Kingdom
Languages English
Description High-throughput omics strategies delineate the molecular mechanism of toxicity, predict the toxicity of newer drugs and chemicals, and identify individuals at high risks on the basis of expression patterns of messenger ribonucleic acids, genes, and proteins, and detection of intermediary metabolites. Despite being a developing country, India is one of the fastest growing nations in the usages and applications of omics technologies. Several differentially expressed genes and proteins under various pathological and toxicant-exposed conditions have been identified, and many association studies on genetic polymorphisms with toxicant-induced diseases have been conducted for the predictive and mechanistic purposes. To date, omics-driven approaches have identified some novel fingerprints associated with disease risk/protection and prediction of toxicity of newer chemicals. Although the contributions of such findings in the mechanistic toxicology have been immense, predictive values of these findings in toxicology have been limited. In this review, the current status of omics-based research and its future possibilities at the Indian Institute of Toxicology Research (IITR), Lucknow, India, have been discussed.
Knowledge Source Category
Category Publication
Sub categories Review / Research article
Knowledge Dissemination and Sharing
Dissemination channel Website
Targeted audience (specified/objective analysis) Students, Scientists, Industry, Researchers, Regulators
Users access User registration, Fee-based access
Knowledge Characterization
3Rs relevance Replacement, Reduction
Purpose Documentation and information
Technology/Tools Omics