Article Text

PDF
THU0315 A Study of Gene Expression in Fibromyalgia: An Analysis of Potential Biological Markers
  1. K. Dupree Jones1,
  2. T. Gelbart2,
  3. J. Waalen2,
  4. T.S. Mondala2,
  5. D.N. Iklé3,
  6. D.R. Salomon2,
  7. R.M. Bennett4,
  8. S.M. Kurian2
  1. 1Departments of Nursing and Medicine, Oregon Health & Science University, Portland
  2. 2Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California
  3. 3Rho Federal Systems Division, Chapel Hill, North Carolina
  4. 4Departments of Medicine and Nursing, Oregon Health & Science University, Portland, OR, United States

Abstract

Background Contemporary research has revealed a dysfunctional central nervous system as being an important component in the clinical presentation of fibromyalgia (FM). However, the reasons for this dysfunction, are far from clear. One problem in studying fibromyalgia is the lack of a well-defined phenotype. This is a significant problem when attempting to define FM at the genomic level.

Objectives In this study we have employed gene expression methods to define biological markers that could potentially assist in better defining FM genomically.

Methods Global gene expression in 70 fibromyalgia patients and 70 healthy matched controls was analyzed in terms of sensitivity and specificity based on the 1990 American College of Rheumatology definition of FM.

Results The molecular profiling of peripheral blood revealed a differential expression of genes in known pathways for pain processing, such as glutamine/glutamate signaling and axonal development, suggesting a dysregulation of these functions. There was also an upregulation of inflammatory molecules in FM patients and downregulation of specific pathways related to hypersensitivity and allergy. Based on these profiles we identified a panel of candidate gene expression-based classifiers that could help establish an objective molecular diagnostic guide for the design and testing of new therapies for FM. Classifiers of 10-71 probesets showed sensitivity, specificity, PPV, NPV and an AUC as high as 95%, 96%, 95%, 96% and 0.931.

Conclusions The findings reported here provide several new insights relevant to the possible pathogenesis of FM, and provide several testable hypotheses that warrant further exploration.

Acknowledgements This study was funded by NIH grant R21NRO12572

Disclosure of Interest None declared

Statistics from Altmetric.com

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.