Exploring the diagnostic potential of immune biomarker co-expression 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

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 co-expression 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 co-expression 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
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages101-120
Number of pages20
DOIs
StatePublished - 2018

Publication series

NameMethods in Molecular Biology
Volume1781
ISSN (Print)1064-3745

Bibliographical note

Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.

ASJC Scopus Subject Areas

  • Molecular Biology
  • Genetics

Keywords

  • Batch PLS
  • Co-expression patterns
  • Cytokine profile
  • Diagnostic classification
  • Exercise response
  • Gulf War illness
  • Partial least squares
  • Regression model

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