Gamma Interferon Mediates Experimental Cerebral Malaria by Signaling within Both the Hematopoietic and Nonhematopoietic Compartments.
Ana Villegas-MendezPatrick StrangwardTovah N ShawIvana RajkovicVinko TosevskiRuth FormanWerner MullerKevin N CouperPublished in: Infection and immunity (2017)
Experimental cerebral malaria (ECM) is a gamma interferon (IFN-γ)-dependent syndrome. However, whether IFN-γ promotes ECM through direct and synergistic targeting of multiple cell populations or by acting primarily on a specific responsive cell type is currently unknown. Here, using a panel of cell- and compartment-specific IFN-γ receptor 2 (IFN-γR2)-deficient mice, we show that IFN-γ causes ECM by signaling within both the hematopoietic and nonhematopoietic compartments. Mechanistically, hematopoietic and nonhematopoietic compartment-specific IFN-γR signaling exerts additive effects in orchestrating intracerebral inflammation, leading to the development of ECM. Surprisingly, mice with specific deletion of IFN-γR2 expression on myeloid cells, T cells, or neurons were completely susceptible to terminal ECM. Utilizing a reductionist in vitro system, we show that synergistic IFN-γ and tumor necrosis factor (TNF) stimulation promotes strong activation of brain blood vessel endothelial cells. Combined, our data show that within the hematopoietic compartment, IFN-γ causes ECM by acting redundantly or by targeting non-T cell or non-myeloid cell populations. Within the nonhematopoietic compartment, brain endothelial cells, but not neurons, may be the major target of IFN-γ leading to ECM development. Collectively, our data provide information on how IFN-γ mediates the development of cerebral pathology during malaria infection.
Keyphrases
- dendritic cells
- immune response
- endothelial cells
- bone marrow
- extracellular matrix
- rheumatoid arthritis
- subarachnoid hemorrhage
- single cell
- stem cells
- poor prognosis
- induced apoptosis
- oxidative stress
- cerebral ischemia
- signaling pathway
- social media
- cell death
- long non coding rna
- drug delivery
- deep learning
- plasmodium falciparum
- big data
- insulin resistance
- binding protein
- cell cycle arrest