Life cycle analysis of kidney gene expression in male F344 rats

Joshua C Kwekel1, Varsha G Desai, Carrie L Moland

  • 1Personalized Medicine Branch, Division of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America.

Plos One
|October 12, 2013
PubMed

Insights

Kidney gene expression changes with age, impacting drug safety and disease risk. Identifying these age-specific gene patterns is crucial for understanding kidney injury and improving biomarker use.

Area of Science:

  • Nephrology
  • Genomics
  • Toxicology

Background:

  • Aging influences kidney susceptibility to disease and drug toxicity.
  • Understanding age-related kidney biology is vital for drug safety and disease progression assessment.

Purpose of the Study:

  • To investigate age-related changes in kidney gene expression.
  • To identify gene expression patterns associated with different life stages in rats.
  • To establish a baseline for evaluating how gene expression impacts susceptibility to adverse drug reactions.

Main Methods:

  • Gene expression profiling using whole-genome rat microarrays in kidneys from rats aged 2 to 104 weeks.
  • Statistical analysis (ANOVA, fold-change) to identify differentially expressed genes (DEGs).
  • Principal component and K-means cluster analyses to reveal age-specific expression patterns and gene networks.

Main Results:

  • Identified 3,724 differentially expressed genes (DEGs) across different ages.
  • Revealed three major divisions in life-cycle renal gene expression.
  • Discovered age-specific gene networks involved in kidney function, aging, immune response, and tubular injury.
  • Observed significant age-related changes in expression for renal injury biomarkers (KIM-1, Clu, Tff3).

Conclusions:

  • Age-specific gene expression patterns in the kidney are linked to susceptibility to disease and adverse drug reactions.
  • This study provides a foundation for understanding age-related kidney vulnerabilities.
  • Findings will aid in the improved use of renal biomarkers for injury and disease assessment.

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