Improving Diagnostics and Treatments for GWI Females by Accounting for the Effects of PTSD
Principal Investigator/Project Director
Colleges / Centers
College of Psychology
DOD - U.S. Army Medical Research Acquisition Activity
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%. Key words: Cytokine profile, Coexpression patterns, Exercise response, Gulf War Illness, Regression model, Diagnostic classification, Partial least squares, Batch partial least squares
Craddock, Travis, "Improving Diagnostics and Treatments for GWI Females by Accounting for the Effects of PTSD" (2016). NSU Grant Awards. 43.