Exploring the diagnostic potential of immune biomarker coexpression in gulf war illness

Gordon Broderick, Mary Ann Fletcher, Michael Gallagher, Zachary Barnes, Suzanne D. Vernon, Nancy G. Klimas

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Scopus citations

Abstract

Complex disorders like Gulf War Illness (GWI) often defy diagnosis on the basis of a single biomarker and may only be distinguishable by considering the coexpression of multiple markers measured in response to a challenge. We demonstrate the practical application of such an approach using an example where blood was collected from 26 GWI, 13 healthy control subjects, and 9 unhealthy controls with Chronic Fatigue at three points during a graded exercise challenge. A 3-way multivariate projection model based on 12 markers of endocrine and immune function was constructed using a training set of n = 10 GWI and n = 11 healthy controls. These groups were separated almost completely on the basis of two coexpression patterns. In a separate test set these same features allowed for discrimination of new GWI subjects (n = 16) from unhealthy (n = 9) and healthy control subjects with a sensitivity of 70% and a specificity of 90%.

Original languageEnglish (US)
Title of host publicationPsychoneuroimmunology
Subtitle of host publicationMethods and Protocols
EditorsQing Yan, Qing Yan
Pages145-164
Number of pages20
DOIs
StatePublished - 2012

Publication series

NameMethods in Molecular Biology
Volume934
ISSN (Print)1064-3745

Keywords

  • Batch partial least squares
  • Coexpression patterns
  • Cytokine profile
  • Diagnostic classification
  • Exercise response
  • Gulf War Illness
  • Partial least squares
  • Regression model

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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