The effect of the microbiome on the development and severity of uveitis

Project: Research project

Project Details

Description

DESCRIPTION (provided by applicant): There is increasing evidence that the shaping of the immunological tolerance that goes awry in autoimmune disease is heavily influenced by commensal microbiota. Although this relationship between the microbiome and autoimmunity has been studied for autoimmune diseases such as rheumatoid arthritis, inflammatory bowel disease, and multiple sclerosis, it has not been investigated for autoimmune uveitis, a potentially
blinding inflammatory condition affecting the eyes. Studying the relationship of the microbiome with uveitis may reveal important insights into the pathogenesis of this disease, but more importantly, may result in potential intervention through the use of novel treatment strategies. The hypothesis of this study is that altering the gut flora will affect the clinical severity of uvitis. The first aim to test this hypothesis involves administering broad-spectrum antibiotics to reduce gut flora and to determine how and why this affects uveitis disease severity. Two animal models of autoimmune uveitis, experimental autoimmune uveitis (EAU), and aggrecan-induced uveitis will be tested for this purpose. Disease severity, relative abundances of bowel microorganisms, and the contribution of regulatory T lymphocytes will be assessed. To evaluate the microbiota, a well-developed rapid but robust technique to quantitatively characterize the microbiome of complex biological environments, such as the gut, will be used (Biome representational in silico karyotyping or BRISK). In the second and third aims, the effects of probiotics (commensal microrganisms that can regulate self-tolerance) and prebiotics (diets that affect the innate microbiome in a specific way) will be investigated for their effects on clinical disease severity and the ability to alter gut flora in the disease models above.
StatusFinished
Effective start/end date12/1/1211/30/17

Funding

  • National Institutes of Health: $208,947.00
  • National Institutes of Health: $208,947.00
  • National Institutes of Health: $208,947.00
  • National Institutes of Health: $208,947.00

ASJC

  • Medicine(all)

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.