Gene expression profiling in rat liver treated with compounds inducing phospholipidosis.

Author: HirodeMitsuhiro, MiyagishimaToshikazu, NagaoTaku, OhnoYasuo, OnoAtsushi, UrushidaniTetsuro

Paper Details 
Original Abstract of the Article :
We have constructed a large-scale transcriptome database of rat liver treated with various drugs. In an effort to identify a biomarker for diagnosis of hepatic phospholipidosis, we extracted 78 probe sets of rat hepatic genes from data of 5 drugs, amiodarone, amitriptyline, clomipramine, imipramine,...See full text at original site
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引用元:
https://doi.org/10.1016/j.taap.2008.01.036

データ提供:米国国立医学図書館(NLM)

Unveiling the Secrets of Phospholipidosis: Using Gene Expression Profiling to Identify a Biomarker

This study explores the use of gene expression profiling to identify a biomarker for diagnosing hepatic phospholipidosis, a condition characterized by the accumulation of phospholipids in the liver. It's like searching for a hidden oasis in the vast desert of genetic information, aiming to find a specific signature that reveals the presence of phospholipidosis.

A Powerful Tool for Detection: The Potential of Gene Expression Profiling

The authors constructed a large-scale transcriptome database of rat liver treated with various drugs, analyzing the expression of genes involved in phospholipidosis. They identified 78 probe sets that could differentiate between control groups and those treated with drugs known to cause phospholipidosis. This approach successfully identified drugs that caused phospholipidosis, even those that were not initially detected through histopathological examination.

Mapping the Desert: Identifying Genes Linked to Phospholipidosis

The study's findings suggest that these 78 probe sets could serve as a valuable tool for diagnosing phospholipidosis, offering a promising approach for predicting and monitoring this type of toxicity. It's like having a map that reveals the presence of hidden oases in the desert, guiding us towards a better understanding of this complex condition.

Dr.Camel's Conclusion

This research highlights the potential of toxicogenomics, the study of gene expression in response to toxins, as a powerful tool for diagnosing and predicting drug-induced toxicity. It's like using a compass to navigate the vast desert of genetic information, helping us identify the specific signatures that reveal the presence of harmful conditions. The findings pave the way for more effective and proactive approaches to drug safety and development.
Date :
  1. Date Completed 2008-07-21
  2. Date Revised 2013-11-21
Further Info :

Pubmed ID

18355885

DOI: Digital Object Identifier

10.1016/j.taap.2008.01.036

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SNS
PICO Info
in preparation
Languages

English

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