Infections with nontuberculous mycobacterium (NTM) are on the rise. Here, we investigated an uncommon NTM infection, by M. haemophilum (Mh, n = 4), from a shared geographic location in the United States. All patients had underlying immunosuppressive conditions or treatments. We identified that all these individuals had a nonsynonymous mutation in GATA2 gene, which was absent in healthy controls (HCs, n = 4) from the same geographic area (Missouri, USA). Whole blood from these individuals had attenuated cytokine responses to Mh stimulation for IL-1β, IL-6, IL-8, MIP-1α and MIP-1β, but not to phytohemagglutinin (PHA) or another NTM, M. abscessus. Impaired whole blood transcriptional responses in individuals with GATA2 mutation included heightened Ras-homolog (Rho) guanosine triphosphate hydrolases (GTPase) and lowered TGF-β responses, among others. Our results highlight that, comparatively, M. abscessus and Mh elicit differential immune responses in humans. We identify a 23-gene signature that distinguished host response to Mh and M. abscessus and show that in vitro GATA2 siRNA knockdown indeed attenuated cytokine responses to Mh. Thus, we provide evidence that links GATA2 mutation and immune dysfunction in individuals with compromised immunity to Mh infection in humans and outline host factors associated with the immune response of this clinically relevant NTM.
Ananya Gupta, Shail B. Mehta, Abhimanyu, Bruce A. Rosa, John Martin, Mushtaq Ahmed, Shyamala Thirunavukkarasu, Farheen Fatma, Gaya K. Amarasinghe, Makedonka Mitreva, Thomas C. Bailey, David B. Clifford, Shabaana A. Khader
Usage data is cumulative from August 2025 through April 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,372 | 104 |
| 561 | 16 | |
| Figure | 320 | 0 |
| Table | 44 | 0 |
| Supplemental data | 248 | 4 |
| Citation downloads | 153 | 0 |
| Totals | 3,698 | 124 |
| Total Views | 3,822 | |
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.