Conventional and antibody-enhanced DENV infection of human macrophages induces differential immunotranscriptomic profiles

Dengue virus (DENV) is a mosquito-borne flavivirus which coexists as four genetically and immunologically distinct serotypes (DENV-1 to -4). In secondary heterologous DENV infection, pre-existing immunity is believed to contribute to severe disease through antibody-dependent enhancement (ADE). Although the elevated pathology observed in ADE conditions has been described, the cell-intrinsic mechanisms governing this process remain unclear. Using single-cell RNA sequencing (scRNAseq), we investigated the transcriptomic profiles of human monocyte-derived macrophages infected by DENV-2 in ADE compared to conventional infection conditions. Unsupervised analysis of scRNAseq data enabled the identification of two distinct cell populations in a heterogeneous cell culture, likely representing infected and bystander/ uninfected cells. Differential gene expression and ingenuity pathway analyses revealed a number of significantly upregulated and downregulated genes and gene networks between cells infected by ADE compared to conventional infection. Specifically, these pathways indicated mechanisms such as suppressed interferon signaling and inflammatory chemokine transcription in cells infected via ADE. Further analysis revealed that transcriptomic changes were independent of viral RNA within infected cells, suggesting that the observed changes are reflective of cell-intrinsic responses and not simply a function of per-cell viral burden. The interpreted “bystander” cell population also demonstrated distinct profiles in ADE conditions, indicating an immunologically activated phenotype enriched for the expression of gene networks involved with protein translation, cytokine production, and antigen presentation. Together, these findings support the concept that DENV infection via ADE induces a qualitatively different transcriptomic response in infected cells, contributing to our understanding of ADE as a mechanistic driver of disease and pathogenesis.