High-throughput sequencing-based neutralization assay reveals how repeated vaccinations impact titers to recent human H1N1 influenza strains
作者:Andrea N. Loes, Rosario Araceli L Tarabi, John Huddleston, Lisa Touyon, Sook‐San Wong, Samuel M. S. Cheng, Nancy Leung, William W. Hannon, Trevor Bedford, Sarah Cobey, Benjamin J. Cowling, Jesse D. Bloom · 发表于:bioRxiv (Cold Spring Harbor Laboratory) · 年份:2024 · DOI:10.1101/2024.03.08.584176 · 被引用次数:13 · 研究领域:Influenza Virus Research Studies、RNA and protein synthesis mechanisms、Respiratory viral infections research
The high genetic diversity of influenza viruses means that traditional serological assays have too low throughput to measure serum antibody neutralization titers against all relevant strains. To overcome this challenge, we have developed a sequencing-based neutralization assay that simultaneously measures titers against many viral strains using small serum volumes via a workflow similar to traditional neutralization assays. The key innovation is to incorporate unique nucleotide barcodes into the hemagglutinin (HA) genomic segment, and then pool viruses with numerous different barcoded HA variants and quantify infectivity of all of them simultaneously using next-generation sequencing. With this approach, a single researcher performed the equivalent of 2,880 traditional neutralization assays (80 serum samples against 36 viral strains) in approximately one month. We applied the sequencing-based assay to quantify the impact of influenza vaccination on neutralization titers against recent human H1N1 strains for individuals who had or had not also received a vaccine in the previous year. We found that the viral strain specificities of the neutralizing antibodies elicited by vaccination vary among individuals, and that vaccination induced a smaller increase in titers for individuals who had also received a vaccine the previous year-although the titers six months after vaccination were similar in individuals with and without the previous-year vaccination. We also identified a subset ...