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%.
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Acknowledgments
This work was supported by grants from the NIAAA: R21AA016635 (PI MA Fletcher); NIAID: R01AI065723 (PI MA Fletcher); CFIDS Assoc. of America [2]: (PI N Klimas, PI G Broderick); NIAID: UO1 AI459940 (PI N Klimas); NIAMSD R01 AR057853-01A1 (PI N Klimas); VA merit awards (PI N Klimas); Dynamic Modeling in GWI,CFS/ME; GW080152 (PI N Klimas); and the University of Alberta (PI G Broderick).
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Broderick, G., Fletcher, M.A., Gallagher, M., Barnes, Z., Vernon, S.D., Klimas, N.G. (2018). Exploring the Diagnostic Potential of Immune Biomarker Co-expression in Gulf War Illness. In: Yan, Q. (eds) Psychoneuroimmunology. Methods in Molecular Biology, vol 1781. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7828-1_7
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DOI: https://doi.org/10.1007/978-1-4939-7828-1_7
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