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Toxicokinetics: Overview

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Studies that assess how a drug is absorbed, distributed, metabolized, and excreted (ADME) at toxic doses are termed toxicokinetics. Understanding toxicokinetics helps predict adverse drug reactions (ADRs) and manage toxicity in humans.Toxicokinetics differs from pharmacokinetics mainly in the dose levels studied, with toxicokinetics focusing on higher toxic doses. The kinetics at these levels can be non-linear due to altered physiological processes. Toxicodynamics examines the relationship...

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Related Experiment Video

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Imaging Approaches to Assessments of Toxicological Oxidative Stress Using Genetically-encoded Fluorogenic Sensors

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Toxicogenomics.

Virendra S Gomase¹, Somnath Tagore

¹Department of Bioinformatics, Dr. D.Y. Patil Institute for Biotechnology and Bioinformatics, Padmashree Dr. D.Y. Patil University, Plot No-50, Sector-15, CBD Belapur, Navi Mumbai, 400614, India. virusgene1@yahoo.co.in

Current Drug Metabolism

|March 14, 2008

Summary

This summary is machine-generated.

Toxicogenomics integrates genomics and toxicology to study how genomes respond to environmental factors. This field uses bioinformatics to analyze biological data, advancing our understanding of gene-environment interactions in disease.

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Area of Science:

Toxicogenomics
Genomics
Toxicology
Bioinformatics

Background:

Toxicogenomics integrates genomics (transcriptomics, proteomics, metabolomics) with toxicology.
It investigates the genome's role in responses to environmental stressors and toxicants.
This field examines gene-environment interactions in disease through mRNA, protein, and metabolomic studies.

Purpose of the Study:

To define toxicogenomics and its scope.
To highlight the importance of bioinformatics in toxicogenomics research.
To underscore the potential impact of toxicogenomics on other scientific and medical disciplines.

Main Methods:

Integration of transcriptomics, proteomics, and metabolomics data.
Analysis of mRNA expression, protein expression, and metabonomics.
Development and application of bioinformatics tools and databases.

Main Results:

Established a comprehensive understanding of biological system responses to toxicants.
Facilitated analysis, mining, visualization, and sharing of biological information.
Enabled detailed descriptions of biological system component interactions.

Conclusions:

Toxicogenomics is a rapidly growing field with significant implications.
Bioinformatics is crucial for managing and interpreting large-scale toxicogenomics data.
The field promises to advance understanding of disease mechanisms and gene-environment interactions.