Dynamic changes in circulating T follicular helper cell composition predict neutralising antibody responses after yellow fever vaccination. 2020

Johanna E Huber, and Julia Ahlfeld, and Magdalena K Scheck, and Magdalena Zaucha, and Klaus Witter, and Lisa Lehmann, and Hadi Karimzadeh, and Michael Pritsch, and Michael Hoelscher, and Frank von Sonnenburg, and Andrea Dick, and Giovanna Barba-Spaeth, and Anne B Krug, and Simon Rothenfußer, and Dirk Baumjohann
Institute for Immunology Biomedical Center Faculty of Medicine LMU Munich Planegg-Martinsried Germany.

OBJECTIVE T follicular helper (Tfh) cells are the principal T helper cell subset that provides help to B cells for potent antibody responses against various pathogens. In this study, we took advantage of the live-attenuated yellow fever virus (YFV) vaccine strain, YF-17D, as a model system for studying human antiviral immune responses in vivo following exposure to an acute primary virus challenge under safe and highly controlled conditions, to comprehensively analyse the dynamics of circulating Tfh (cTfh) cells. METHODS We tracked and analysed the response of cTfh and other T and B cell subsets in peripheral blood of healthy volunteers by flow cytometry over the course of 4 weeks after YF-17D vaccination. RESULTS Using surface staining of cell activation markers to track YFV-specific T cells, we found increasing cTfh cell frequencies starting at day 3 and peaking around 2 weeks after YF-17D vaccination. This kinetic was confirmed in a subgroup of donors using MHC multimer staining for four known MHC class II epitopes of YF-17D. The subset composition of cTfh cells changed dynamically during the course of the immune response and was dominated by the cTfh1-polarised subpopulation. Importantly, frequencies of cTfh1 cells correlated with the strength of the neutralising antibody response, whereas frequencies of cTfh17 cells were inversely correlated. CONCLUSIONS In summary, we describe detailed cTfh kinetics during YF-17D vaccination. Our results suggest that cTfh expansion and polarisation can serve as a prognostic marker for vaccine success. These insights may be leveraged in the future to improve current vaccine design and strategies.

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