Characterizing the dynamics of BCR repertoire from repeated influenza vaccination

Emerg Microbes Infect. 2023 Dec;12(2):2245931. doi: 10.1080/22221751.2023.2245931.

Abstract

Yearly epidemics of seasonal influenza cause an enormous disease burden around the globe. An understanding of the rules behind the immune response with repeated vaccination still presents a significant challenge, which would be helpful for optimizing the vaccination strategy. In this study, 34 healthy volunteers with 16 vaccinated were recruited, and the dynamics of the BCR repertoire for consecutive vaccinations in two seasons were tracked. In terms of diversity, length, network, V and J gene segments usage, somatic hypermutation (SHM) rate and isotype, it was found that the overall changes were stronger in the acute phase of the first vaccination than the second vaccination. However, the V gene segments of IGHV4-39, IGHV3-9, IGHV3-7 and IGHV1-69 were amplified in the acute phase of the first vaccination, with IGHV3-7 dominant. On the other hand, for the second vaccination, the changes were dominated by IGHV1-69, with potential for coding broad neutralizing antibody. Additional analysis indicates that the application of V gene segment for IGHV3-7 in the acute phase of the first vaccination was due to the elevated usage of isotypes IgM and IgG3. While for IGHV1-69 in the second vaccination, it was contributed by isotypes IgG1 and IgG2. Finally, 41 public BCR clusters were identified in the vaccine group, with both IGHV3-7 and IGHV1-69 were involved and representative complementarity determining region 3 (CDR3) motifs were characterized. This study provides insights into the immune response dynamics following repeated influenza vaccination in humans and can inform universal vaccine design and vaccine strategies in the future.

Keywords: BCR repertoire; CDR3; Influenza; Public BCR cluster; V and J gene segments usage; Vaccination.

MeSH terms

  • Complementarity Determining Regions / genetics
  • Humans
  • Immunoglobulin Heavy Chains* / genetics
  • Influenza, Human* / genetics
  • Influenza, Human* / prevention & control
  • Multigene Family
  • Vaccination

Substances

  • Immunoglobulin Heavy Chains
  • Complementarity Determining Regions

Grants and funding

This work was supported by the Shenzhen Science and Technology Program under Grant KQTD20180411143323605, JSGG20200225152008136, GXWD20201231165807008, JCYJ20190807154603596 and JCYJ20200109142438111; Guangdong Frontier and Key Tech Innovation Program under Grants 2019B020228001, 2019B111103001 and 2022B1111020006; National Natural Science Foundation of China (31970881).