IFN-γ–driven responses to malaria have been shown to modulate the development and function of T follicular helper (TFH) cells and memory B cells (MBCs), with conflicting evidence of their involvement in the induction of antibody responses required to achieve clinical immunity and their association with disease outcomes. Using high-dimensional single-cell mass cytometry, we identified distinct populations of TH1-polarized CD4+ T cells and MBCs expressing the TH1-defining transcription factor T-bet, associated with either increased or reduced risk of Plasmodium vivax (P. vivax) malaria, demonstrating that inflammatory responses to malaria are not universally detrimental for infection. Furthermore, we found that, whereas class-switched but not IgM+ MBCs were associated with a reduced risk of symptomatic malaria, populations of TH1 cells with a stem central memory phenotype, TH17 cells, and T regulatory cells were associated with protection from asymptomatic infection, suggesting that activation of cell-mediated immunity might also be required to control persistent P. vivax infection with low parasite burden.
Lisa J. Ioannidis, Halina M. Pietrzak, Ann Ly, Retno A.S. Utami, Emily M. Eriksson, Stephanie I. Studniberg, Waruni Abeysekera, Connie S.N. Li-Wai-Suen, Dylan Sheerin, Julie Healer, Agatha M. Puspitasari, Dwi Apriyanti, Farah N. Coutrier, Jeanne R. Poespoprodjo, Enny Kenangalem, Benediktus Andries, Pak Prayoga, Novita Sariyanti, Gordon K. Smyth, Leily Trianty, Alan F. Cowman, Ric N. Price, Rintis Noviyanti, Diana S. Hansen
Usage data is cumulative from December 2023 through December 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 502 | 259 |
72 | 67 | |
Figure | 143 | 14 |
Table | 14 | 0 |
Supplemental data | 45 | 5 |
Citation downloads | 55 | 0 |
Totals | 831 | 345 |
Total Views | 1,176 |
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.