Nature CommunicationsImmunologyPeer-reviewed journal article
Age is an intrinsic driver of inflammatory responses to malaria
Jessica R. LoughlandiD, Nicholas L. DooleyiD, Zuleima PavaiD, Arya SheelaNair, Dean W. AndrewiD, Peta E. Tipping, Peter BourkeiD, Christian R. EngwerdaiD, José Alejandro LópeziD, Kim A. PieraiD, Timothy WilliamiD, Bridget E. BarberiD, Matthew J. GriggiD, Nicholas M. AnsteyiD, Gabriela MinigoiD, Michelle J. BoyleiD
Abstract
Age is a critical factor influencing the host immune response to infection and disease pathogenesis. In malaria, the risk of severe disease increases with age in non-immune individuals. Malaria severity is in part driven by inflammation, but the specific cells and mechanisms contributing to age-dependent disease risk are incompletely understood. Here, we assessed inflammatory cytokines in non-immune children and adults with clinical malaria, and the phenotypic, functional and transcriptional differences of in vitro innate cell responders to malaria parasites in naive children and adults. During naturally acquired malaria, age was associated with increased plasma levels of inflammatory chemokines CCL2, CCL3, CXCL8, CXLC9, along with CRP, and IDO, which were associated with clinical symptoms. In malaria naive individuals, classical monocyte and V{delta}2+ {gamma}{delta} T cell responses from adults were characterized by higher inflammatory cytokine production, and transcriptional activation following stimulation with malaria parasites. Classical monocyte responses in adults were dominated by CCL2 production, while in children the response had increased IL10 production and enrichment in IL10 signaling pathways upon parasite stimulation. This heightened inflammatory response in adults was not mitigated by parasite induced Tregs. Taken together, these findings identify cellular mechanisms of age-dependent host responses that play crucial roles in driving inflammatory responses in malaria.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 9
- FWCI
- 6.83
- Field percentile
- top 2%
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