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Innate cell markers that predict anti-HIV neutralizing antibody titers in vaccinated macaques

Given the time and resources invested in clinical trials, innovative prediction methods are needed to decrease late-stage failure in vaccine development. We identify combinations of early innate responses that predict neutralizing antibody (nAb) responses induced in HIV-Env SOSIP immunized cynomolgu...

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Detalles Bibliográficos
Autores principales: Van Tilbeurgh, Matthieu, Maisonnasse, Pauline, Palgen, Jean-Louis, Tolazzi, Monica, Aldon, Yoann, Dereuddre-Bosquet, Nathalie, Cavarelli, Mariangela, Beignon, Anne-Sophie, Marcos-Lopez, Ernesto, Gallouet, Anne-Sophie, Gilson, Emmanuel, Ozorowski, Gabriel, Ward, Andrew B., Bontjer, Ilja, McKay, Paul F., Shattock, Robin J., Scarlatti, Gabriella, Sanders, Rogier W., Le Grand, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588994/
https://www.ncbi.nlm.nih.gov/pubmed/36167072
http://dx.doi.org/10.1016/j.xcrm.2022.100751
Descripción
Sumario:Given the time and resources invested in clinical trials, innovative prediction methods are needed to decrease late-stage failure in vaccine development. We identify combinations of early innate responses that predict neutralizing antibody (nAb) responses induced in HIV-Env SOSIP immunized cynomolgus macaques using various routes of vaccine injection and adjuvants. We analyze blood myeloid cells before and 24 h after each immunization by mass cytometry using a three-step clustering, and we discriminate unique vaccine signatures based on HLA-DR, CD39, CD86, CD11b, CD45, CD64, CD14, CD32, CD11c, CD123, CD4, CD16, and CADM1 surface expression. Various combinations of these markers characterize cell families positively associated with nAb production, whereas CADM1-expressing cells are negatively associated (p < 0.05). Our results demonstrate that monitoring immune signatures during early vaccine development could assist in identifying biomarkers that predict vaccine immunogenicity.