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Toxic Dose prediction of Chemical Compounds to Biomarkers using an ANOVA based Gene Expression Analysis
Mohammad Nazmol Hasan1,2, Zobaer Akond1,3, Md Jahangir Alam1
1Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.
Abstract:
The aim of toxicogenomic studies is to optimize the toxic dose levels of chemical compounds (CCs) and their regulated biomarker genes. This is also crucial in drug discovery and development. There are popular online computational tools such as ToxDB and Toxygates to identify toxicogenomic biomarkers using t-test. However, they are not suitable for the identification of biomarker gene regulatory dose of corresponding CCs. Hence, we describe a one-way ANOVA model together with Tukey's HSD test for the identification of toxicogenomic biomarker genes and their influencing CC dose with improved efficiency. Glutathione metabolism pathway data analysis shows high and middle dose for acetaminophen, and nitrofurazone as well as high dose for methapyrilene as significant toxic CC dose. The corresponding regulated top seven toxicogenomic biomarker genes found in this analysis is Gstp1, Gsr, Mgst2, Gclm, G6pd, Gsta5 and Gclc.
Insights
This study introduces a new ANOVA model to identify toxic chemical compound (CC) doses and their biomarker genes. This method improves efficiency in drug discovery and toxicogenomic research.
Area of Science:
- Toxicogenomics
- Computational Biology
- Pharmacology
Background:
- Toxicogenomic studies are vital for optimizing chemical compound (CC) toxicity levels and identifying regulated biomarker genes, crucial for drug discovery.
- Existing tools like ToxDB and Toxygates use t-tests but are insufficient for determining the specific CC doses that regulate biomarker genes.
Purpose of the Study:
- To develop and present an improved computational model for identifying toxicogenomic biomarker genes and their corresponding CC regulatory doses.
- To enhance the efficiency of toxicogenomic biomarker discovery in drug development and chemical safety assessment.
Main Methods:
- A novel approach utilizing a one-way ANOVA model combined with Tukey's HSD test was developed.
- This method was applied to analyze glutathione metabolism pathway data to identify significant CC doses and regulated genes.
Main Results:
- The analysis identified specific toxic CC doses: high and middle doses for acetaminophen and nitrofurazone, and a high dose for methapyrilene.
- Seven key toxicogenomic biomarker genes were identified: Gstp1, Gsr, Mgst2, Gclm, G6pd, Gsta5, and Gclc.
Conclusions:
- The proposed ANOVA and Tukey's HSD test model offers improved efficiency in identifying toxic CC doses and associated biomarker genes.
- This method provides a more precise tool for toxicogenomic analysis, supporting safer drug development and chemical risk assessment.
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