The most recent report from the Research Advisory Committee on Gulf War Veterans' Illnesses stated that Identification of objective measures that distinguish Veterans with Gulf War Illness from Healthy Veterans including studies that utilize new technologies (proteomic...metabolomic methods) capable of identifying unique molecular characteristics of Gulf War Illness, and of illness and exposure subgroups was one of the Highest Priority areas for Gulf War Research. In this proposal we will address this critical need by using state-of-the-art omic technology (proteomic, lipidomic and metabolomic) to comprehensively characterize plasma molecules responding to mouse exposure to Gulf War (GW) agents, such as pesticides and the anti-nerve gas agent pyridostigmine bromide. We will focus on mouse models of GW-agent induced central nervous system (CNS) dysfunction. Plasma profiles will be compared across different mouse models, different timepoints and different clinical presentations in order to identify biological functions correlating with CNS dysfunction that are specifically modulated following GW-agent exposure. With our clinical collaborators at the Boston and Bronx VA hospitals we will recruit Veterans with GWI, healthy GW Veterans, and GW-era Veterans who were not deployed to the Gulf. We will similarly profile their plasma, and will compare the profiles across clinical subgroups and use the results from the mouse studies to identify the differentially represented biological functions of most significance to GWI CNS dysfunction. We will then explore the development of a plasma biomarker panel by using targeted omic investigations and screening an additional GW Veterans population to qualify the biomarker findings from the discovery phase by determining the reproducibility of the diagnostic specificity and sensitivity of the candidate biomarkers under investigation. This novel and innovative proposal addresses many of the outstanding needs pertaining to issues related to GWI, a) diagnostic biomarkers, b) differences in biological responses due to genetic heterogeneity, c) personalized medicine. Biomarkers may also be identified which can be used as surrogates for evaluation of therapeutic efficacy. Furthermore, this work provides a template for subsequent analyses of additional samples from existing and future clinical collaborations. We anticipate that our study can provide the foundation for a nationwide plasma biomarker discovery program for Gulf War Veterans Illness.

Public Health Relevance

Approximately 25% of the 700,000 US veterans who served in the 1990-1991 Gulf War are afflicted with Gulf War Illness (GWI) which is characterized by a multisymptom presentation including central nervous system (CNS) based symptoms, such as cognitive deficits, motor impairment and anxiety. Difficulties in diagnosis and clinical management of GWI mandate identification of meaningful peripheral biomarkers of clinical subgroups of GWI. Agents such as pesticides and insecticides are now known to be involved in GWI etiology, and we have been developing mouse models that exhibit CNS dysfunction after exposure to GW- agents. In this application we propose to use our state-of-the-art proteomic, lipidomic and metabolomic technology to develop a biomarker panel for the diagnosis/management of GWI. The proposed objectives will be accomplished by translating our findings from the mouse models of GW-agent induced CNS dysfunction to well defined clinical GW veterans populations, through our collaborations with clinical experts in GWI.

Agency
National Institute of Health (NIH)
Institute
Veterans Affairs (VA)
Type
Non-HHS Research Projects (I01)
Project #
5I01BX002084-03
Application #
8974323
Study Section
Special Emphasis - Research on Gulf War Veterans' Illnesses (SPLD)
Project Start
2014-01-01
Project End
2017-12-31
Budget Start
2016-01-01
Budget End
2016-12-31
Support Year
3
Fiscal Year
2016
Total Cost
Indirect Cost
Name
James A. Haley VA Medical Center
Department
Type
DUNS #
929194256
City
Tampa
State
FL
Country
United States
Zip Code
33612