BACKGROUND Coccidioidomycosis ranges from self-limiting uncomplicated Valley fever (UVF) in most cases to life-threatening disseminated coccidioidomycosis (DCM) in rare individuals. A few patterns of immunologic deficits allowing for dissemination have been identified, although the specific defects in most individuals with DCM remain undefined. We hypothesized that chronic antigen exposure in DCM engenders a state of T cell exhaustion.METHODS From a cohort of over 300 individuals with confirmed diagnoses of coccidioidomycosis, circulating T cell phenotypes were characterized via flow cytometry and Coccidioides-specific T cell responses were measured by activation-induced marker (AIM) assay.RESULTS Male sex was significantly associated with disseminated disease (OR 2.5, 95% CI 1.5–4.0). A majority (52%) of individuals showed Coccidioides-specific T cell responses in our AIM assay. We noted a significant difference in patients sampled in the first year of diagnosis, where only 8% of patients with DCM had T cell responses during this time, as compared with 44% of individuals with UVF (P = 0.04). Among DCM patients with detectable AIM responses, CD4+ T cells demonstrated an exhausted phenotype with elevated PD-1 expression compared with UVF individuals. In vitro PD-1 blockade augmented IFN-γ production in most tested individuals with DCM.CONCLUSION These findings suggest that dissemination may occur in some individuals during a period of impaired antigen-specific T cell activity. Importantly, these responses can be augmented in vitro by PD-1–blocking antibodies, supporting further study of immune checkpoint therapy as an adjunct to antifungal treatment in disseminated coccidioidomycosis.FUNDING National Institute of Allergy and Infectious Diseases grants U19 AI166059 and R21 AI149654 and University of California Office of the President grant VFR-19-633386.
Gregory D. Whitehill, Alexis V. Stephens, Timothy J. Thauland, Miguel A. Moreno Lastre, Matthew M. Tate, Sinem Beyhan, Royce H. Johnson, George R. Thompson III, Maria Garcia-Lloret, Manish J. Butte
Usage data is cumulative from April 2026 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,399 | 0 |
| 442 | 0 | |
| Figure | 451 | 0 |
| Table | 73 | 0 |
| Supplemental data | 263 | 0 |
| Citation downloads | 306 | 0 |
| Totals | 2,934 | 0 |
| Total Views | 2,934 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.