Coccidioidomycosis (Valley Fever) is a serious public health problem for the Southwestern United States and all who visit there. A small proportion of infections result in progressive, debilitating, even life-threatening illness (disseminated coccidioidomycosis or DCM). All evidence suggests that this heightened susceptibility is due to differences in immunologic responses of the patient, clearly understood in overtly immunodeficient persons (i.e., those with AIDS) but not understood for the large majority of otherwise healthy patients with DCM. The NIAID intramural PI (Dr. Steven Holland) has identified inheritable gene mutations in a few patients each of which are associated with DCM. He has also found additional patients with DCM to have rare gene variants possibly producing deleterious consequences. These discoveries provide clues to the pathways that might be deregulated in other patients with DCM but who do not have such readily identifiable genetic alternations. This project builds on the ongoing collaboration between Dr. Holland and Dr. John Galgiani, University of Arizona (UA) Director of the Valley Fever Center for Excellence, to maintain a referral path for subjects living in Arizona to the existing program at the NIH Clinical Center. This work will better define the functional consequences of the Mendelian mutations that Dr. Holland has identified and how those differences permit DCM to occur.
A second aim i s to analyze gene expression of peripheral blood mononuclear cells of patients with DCM not associated with Mendelian mutations in comparison to persons who control coccidioidal infection without becoming ill. Such comparisons may identify dysregulated patterns of response and suggest which putatively deleterious variants in such patients might be responsible.
A third aim i s to genetically introduce Mendelian mutations associated with human DCM (such as one found by Dr. Holland in STAT4) into a mouse strain normally resistant to coccidioidal dissemination to determine if such mutations result in increased DCM. If so, we can also discover whether it is possible to prevent DCM in the transfected mice by immunization. The murine studies will use containment facilities available at the UA and not currently available at the NIH. As a result of this work, it may be possible to identify persons who, if infected, will develop DCM. Also, our findings may suggest new approaches to therapy or preventative vaccines.

Public Health Relevance

Valley Fever (coccidioidomycosis) is a fungal infection that occurs in the southwestern United States. Often mild, Valley Fever occasionally causes severe, even life-threatening disease. Rarely, a specific gene mutation has been found responsible for the serious form, providing a clue as to what more subtle genetic difference might more commonly be responsible. This project permits investigators at the NIH and at the University of Arizona to work together, utilizing unique resources of each institution. Findings from these studies may provide new tests to determine which persons are at risk of serious disease if they contract Valley Fever. They may also help in the development of preventative vaccines.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01AI122275-02
Application #
9457306
Study Section
Special Emphasis Panel (ZAI1)
Program Officer
Love, Dona
Project Start
2017-03-21
Project End
2021-02-28
Budget Start
2018-03-01
Budget End
2019-02-28
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Arizona
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721
Shubitz, Lisa F; Powell, Daniel A; Trinh, Hien T et al. (2018) Viable spores of Coccidioides posadasii ?cps1 are required for vaccination and provide long lasting immunity. Vaccine 36:3375-3380
Han, Jiali; Li, Jianrong; Achour, Ikbel et al. (2018) Convergent downstream candidate mechanisms of independent intergenic polymorphisms between co-classified diseases implicate epistasis among noncoding elements. Pac Symp Biocomput 23:524-535
Schissler, A Grant; Piegorsch, Walter W; Lussier, Yves A (2018) Testing for differentially expressed genetic pathways with single-subject N-of-1 data in the presence of inter-gene correlation. Stat Methods Med Res 27:3797-3813
Berghout, Joanne; Li, Qike; Pouladi, Nima et al. (2018) Single subject transcriptome analysis to identify functionally signed gene set or pathway activity. Pac Symp Biocomput 23:400-411
Zaim, Samir Rachid; Li, Qike; Schissler, A Grant et al. (2018) Emergence of pathway-level composite biomarkers from converging gene set signals of heterogeneous transcriptomic responses. Pac Symp Biocomput 23:484-495
Fan, Jung-Wei; Lussier, Yves A (2017) Word-of-Mouth Innovation: Hypothesis Generation for Supplement Repurposing based on Consumer Reviews. AMIA Annu Symp Proc 2017:689-695
Vitali, Francesca; Li, Qike; Schissler, A Grant et al. (2017) Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes. Brief Bioinform :
Fan, Jung-Wei; Li, Jianrong; Lussier, Yves A (2017) Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context. J Healthc Eng 2017:3818302