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

doi:10.1007/978-1-62703-071-7_8

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

Medicine

Research output: Chapter in Book/Report/Conference proceeding › Chapter

11 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 language	English (US)
Title of host publication	Psychoneuroimmunology
Subtitle of host publication	Methods and Protocols
Editors	Qing Yan, Qing Yan
Pages	145-164
Number of pages	20
DOIs	https://doi.org/10.1007/978-1-62703-071-7_8
State	Published - 2012

Publication series

Name	Methods in Molecular Biology
Volume	934
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

Access to Document

10.1007/978-1-62703-071-7_8

Fingerprint Dive into the research topics of 'Exploring the diagnostic potential of immune biomarker coexpression in gulf war illness'. Together they form a unique fingerprint.

Cite this

Exploring the diagnostic potential of immune biomarker coexpression in gulf war illness. / Broderick, Gordon; Fletcher, Mary Ann; Gallagher, Michael; Barnes, Zachary; Vernon, Suzanne D.; Klimas, Nancy G.

Psychoneuroimmunology: Methods and Protocols. ed. / Qing Yan; Qing Yan. 2012. p. 145-164 (Methods in Molecular Biology; Vol. 934).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

@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",

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",

}

TY - CHAP

T1 - Exploring the diagnostic potential of immune biomarker coexpression in gulf war illness

AU - Broderick, Gordon

AU - Fletcher, Mary Ann

AU - Gallagher, Michael

AU - Barnes, Zachary

AU - Vernon, Suzanne D.

AU - Klimas, Nancy G.

PY - 2012

Y1 - 2012

N2 - 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%.

AB - 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%.

KW - Batch partial least squares

KW - Coexpression patterns

KW - Cytokine profile

KW - Diagnostic classification

KW - Exercise response

KW - Gulf War Illness

KW - Partial least squares

KW - Regression model

UR - http://www.scopus.com/inward/record.url?scp=84868681298&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868681298&partnerID=8YFLogxK

U2 - 10.1007/978-1-62703-071-7_8

DO - 10.1007/978-1-62703-071-7_8

M3 - Chapter

C2 - 22933145

AN - SCOPUS:84868681298

SN - 9781627030700

T3 - Methods in Molecular Biology

SP - 145

EP - 164

BT - Psychoneuroimmunology

A2 - Yan, Qing

ER -