Gene expression changes associated with resistance to intravenous corticosteroid therapy in children with severe

Boyko Kabakchiev1, Dan Turner, Jeffrey Hyams

  • 1Mount Sinai Hospital, Toronto, Ontario, Canada. kabakchiev@lunenfeld.ca

Plos One
|October 14, 2010
PubMed

Insights

Gene expression in whole blood can predict corticosteroid treatment response in pediatric ulcerative colitis (UC). Elevated inflammatory gene expression indicates resistance, aiding early clinical management decisions.

Area of Science:

  • Molecular biology
  • Genomics
  • Inflammation research

Background:

  • Microarray analysis of RNA expression provides insight into inflammatory pathways.
  • Identifying early indicators of treatment response in severe ulcerative colitis (UC) is crucial.

Purpose of the Study:

  • To determine if genes expressed in whole blood early after initiating intravenous corticosteroid therapy can be associated with treatment response in pediatric UC patients.
  • To explore gene expression profiles for classifying corticosteroid resistance.

Main Methods:

  • Analysis of RNA expression from whole blood samples of 40 pediatric UC patients (20 responders, 20 non-responders) on day 3 of intravenous corticosteroid therapy.
  • Utilized Affymetrix Human Gene 1.0 ST arrays for transcriptome quantification.
  • Employed local-pooled error method for differential gene expression discovery and false discovery rate correction.

Main Results:

  • Identified 41 statistically significant differentially expressed genes between responders and non-responders.
  • Observed overexpression of CEACAM1 and MMP8 in non-responsive patients.
  • A cluster of 10 genes demonstrated an 80% sensitivity and 80% specificity in classifying patients, with ABCC4 (MRP4) identified as a novel candidate gene for corticosteroid resistance.

Conclusions:

  • Elevated expression of inflammatory pathway genes correlates with resistance to intravenous corticosteroid therapy in early-stage pediatric UC.
  • Gene expression profiling shows potential for classifying corticosteroid resistance and informing clinical management decisions in severe UC.
Abstract

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