@inbook{f390df9b712843d1869f0b2de8c7f1ed,
title = "Exploring the diagnostic potential of immune biomarker coexpression in gulf war illness",
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%.",
keywords = "Batch partial least squares, Coexpression patterns, Cytokine profile, Diagnostic classification, Exercise response, Gulf War Illness, Partial least squares, Regression model",
author = "Gordon Broderick and Fletcher, {Mary Ann} and Michael Gallagher and Zachary Barnes and Vernon, {Suzanne D.} and Klimas, {Nancy G.}",
year = "2012",
month = nov,
day = "16",
doi = "10.1007/978-1-62703-071-7_8",
language = "English (US)",
isbn = "9781627030700",
series = "Methods in Molecular Biology",
pages = "145--164",
editor = "Qing Yan and Qing Yan",
booktitle = "Psychoneuroimmunology",
}