Estimating serum cross-neutralizing responses to SARS-CoV-2 Omicron sub-lineages elicited by pre-Omicron or Omicron breakthrough infection with exposure interval compensation modeling
Authors: Miyamoto Sho , Kuroda Yudai , Kanno Takayuki , Ueno Akira , Shiwa-Sudo Nozomi , Iwata-Yoshikawa Naoko , Sakai Yusuke , Nagata Noriyo , Arashiro Takeshi , Ainai Akira , Moriyama Saya , Kishida Noriko , Watanabe Shinji , Nojima Kiyoko , Seki Yohei , Mizukami Takuo , Hasegawa Hideki , Ebihara Hideki , Fukushi Shuetsu , Takahashi Yoshimasa , Maeda Ken , Suzuki Tadaki 
Published: February 2023

AbstractUnderstanding the differences in serum cross-neutralizing responses against SARS-CoV-2 variants, including Omicron sub-lineages BA.5, BA.2.75, and BQ.1.1, elicited by exposure to distinct antigens is essential for developing COVID-19 booster vaccines with enhanced cross-protection against antigenically distinct variants. However, fairly comparing the impact of breakthrough infection on serum neutralizing responses to several variants with distinct epidemic timing is challenging because responses after breakthrough infection are affected by the exposure interval between vaccination and infection. We assessed serum cross-neutralizing responses to SARS-CoV-2 variants, including Omicron sub-lineages, in individuals with breakthrough infections before or during the Omicron BA.1 epidemic. To understand the differences in serum cross-neutralizing responses after pre-Omicron or Omicron breakthrough infection, we used Bayesian hierarchical modeling to correct the cross-neutralizing responses for the exposure interval between vaccination and breakthrough infection. The exposure interval required to generate saturated cross-neutralizing potency against each variant differed by variant, with variants more antigenically distant from the ancestral strain requiring a longer interval. Additionally, Omicron breakthrough infection was estimated to have higher impact than booster vaccination and pre-Omicron breakthrough infection on inducing serum neutralizing responses to the ancestral strain and Omicron sub-lineages. However, the breadth of cross-neutralizing responses to Omicron sub-lineages, including BQ.1.1, after Omicron or pre-Omicron breakthrough infection with the ideal exposure interval were estimated to be comparable. Our results highlight the importance of optimizing the interval between vaccine doses for maximizing the breadth of cross-neutralizing activity elicited by booster vaccines with or without Omicron antigen.Significance StatementSARS-CoV-2 infections after vaccination with COVID-19 mRNA vaccines with the ancestral spike antigen induce high serum neutralizing responses against Omicron sub-lineages, which are antigenically distant from the ancestral antigen. In individuals with breakthrough infections, the exposure interval from vaccination to infection is critical for the induction of serum cross-neutralizing activity. We used statistical modeling to estimate the serum neutralizing response to Omicron sub-lineages corrected for the influence of different exposure intervals between vaccination and breakthrough infection in individuals with pre-Omicron and Omicron breakthrough infections. This enabled us to assess fairly the effects of exposure to distinct antigens on inducing serum cross-neutralizing responses with the ideal exposure interval, and revealed the clinical significance of optimizing the dose interval in COVID-19 booster vaccination.