Inflammatory Bowel Diseases Clinical Trial
Official title:
Mucosal Gene Expression Defects in Patients With Inflammatory Bowel Disease Before and After First Infliximab Therapy
This study investigated the mucosal gene expression defects associated with active Crohn's disease (CD)and ulcerative colitis (UC), and studied the effect of infliximab induced downregulation of inflammation and mucosal healing on these abnormalities, using whole genome gene expression microarrays.
Infliximab, a monoclonal IgG1 antibody to the pro-inflammatory cytokine tumor necrosis
factor-alpha (TNF-α), was the first efficacious biological therapy for IBD. Infliximab
dramatically improved the quality of life in IBD patients. Besides inducing and maintaining
remission in refractory IBD patients, infliximab has achieved new treatment goals such as
intestinal mucosal healing and a reduction in hospitalizations and surgeries on the
long-term. However, up to 30% of IBD patients do not respond to this costly therapy and
potentially harmful therapy, and in an extra 20-30% response is incomplete. The mechanism of
resistance to infliximab is unknown and predictors of response to infliximab are currently
lacking.
The aim of this study was to investigate the mucosal gene expression defects associated with
active Crohn's disease (CD)and ulcerative colitis (UC), and to study the effect of
infliximab induced downregulation of inflammation and mucosal healing on these
abnormalities, using whole genome gene expression microarray technology on
endoscopic-derived intestinal mucosal biopsies from control individuals and patients with
active IBD, and this before and after their first infliximab treatment.
Sixty-one patients with inflammatory bowel disease, 19 with Crohn's colitis, 18 with Crohn's
ileitis and 24 with UC, undergo a colonoscopy with biopsies before and 4-6 weeks after the
first infliximab treatment. Response to infliximab was defined based on endoscopic and
histologic findings. A control group of 12 individuals was also included.Total RNA was
isolated from biopsies, labelled and hybridized to Affymetrix HGU133plus2.0 Array.
Microarray data were analyzed using Bioconductor software and Ingenuity Pathway Analysis
software. Quantitative real time RT-PCR and immunohistochemistry were used to confirm
microarray data.
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