Coxsackievirus infection induces direct pancreatic β cell killing but poor antiviral CD8 + T cell responses.
Federica VecchioAlexia CarréDaniil KorenkovZhicheng ZhouPaola S ApaolazaSoile TuomelaOrlando Burgos-MoralesIsaac SnowhiteJavier Perez-HernandezBarbara BrandaoGeorgia AfonsoClémentine HalliezAlberto PuglieseSally C KentMaki NakayamaSarah J RichardsonJoelle VinhYann VerdierJutta E LaihoRaphael ScharfmannMichele SolimenaZuzana MarinicovaElise BismuthNadine LucidarmeJanine SanchezCarmen BustamantePatricia GomezSoren Buusnull nullSylvaine YouAlberto PuglieseHeikki HyötyTeresa Rodriguez-CalvoMalin Flodström TullbergRoberto MallonePublished in: Science advances (2024)
Coxsackievirus B (CVB) infection of pancreatic β cells is associated with β cell autoimmunity and type 1 diabetes. We investigated how CVB affects human β cells and anti-CVB T cell responses. β cells were efficiently infected by CVB in vitro, down-regulated human leukocyte antigen (HLA) class I, and presented few, selected HLA-bound viral peptides. Circulating CD8 + T cells from CVB-seropositive individuals recognized a fraction of these peptides; only another subfraction was targeted by effector/memory T cells that expressed exhaustion marker PD-1. T cells recognizing a CVB epitope cross-reacted with β cell antigen GAD. Infected β cells, which formed filopodia to propagate infection, were more efficiently killed by CVB than by CVB-reactive T cells. Our in vitro and ex vivo data highlight limited CD8 + T cell responses to CVB, supporting the rationale for CVB vaccination trials for type 1 diabetes prevention. CD8 + T cells recognizing structural and nonstructural CVB epitopes provide biomarkers to differentially follow response to infection and vaccination.
Keyphrases
- type diabetes
- induced apoptosis
- single cell
- cell cycle arrest
- endothelial cells
- clinical trial
- signaling pathway
- adipose tissue
- dendritic cells
- cell proliferation
- working memory
- immune response
- transcription factor
- artificial intelligence
- high resolution
- big data
- drug delivery
- pi k akt
- data analysis
- atomic force microscopy