Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
letter
. 2022 Dec 6;4(3):e131. doi: 10.1016/S2666-5247(22)00335-4

Omicron sublineage recombinant XBB evades neutralising antibodies in recipients of BNT162b2 or CoronaVac vaccines

Xiaojuan Zhang a, Lin-Lei Chen a, Jonathan Daniel Ip a, Wan-Mui Chan a, Ivan Fan-Ngai Hung b, Kwok-Yung Yuen a,c,d,e, Xin Li a,c, Kelvin Kai-Wang To a,c,d,e
PMCID: PMC9725777  PMID: 36493789

The SARS-CoV-2 omicron variant XBB sublineage, a BA.2.10.1–BA.2.75 recombinant classified as variant under monitoring by WHO, has been found in 35 countries,1 and has become the dominant strain in Singapore. There is early evidence suggesting that XBB might be associated with a higher risk of reinfection.2 A previous study using a pseudovirus neutralisation test and sera from individuals who received CoronaVac (Sinovac) found that XBB is the most immunoevasive sublineage.3

We assessed the neutralisation of XBB.1 and XBB.3 compared with BA.5.2 (a widely circulating strain since July, 2022) and the ancestral strain, using a live virus neutralisation test.4, 5 XBB.1 differs from XBB.3 due to an extra spike mutation: Gly252Val. We included sera specimens from 30 individuals who received two to four doses of BNT16b2 (Pfizer-BioNtech) or CoronaVac with or without previous SARS-CoV-2 infection (seven [23%] individuals who received two vaccinations and had a previous BA.2 infection; seven [23%] who received three vaccinations and had a previous BA.2 infection; nine [30%] who received three vaccinations and had no previous SARS-CoV-2 infections; and seven [23%] who received four vaccinations and had no previous SARS-CoV-2 infections; appendix p 3). Overall, the geometric mean 50% neutralising antibody titre (NT50 GMT) was lower for XBB strains (XBB.1, 26.0; XBB.3, 19.4) than the ancestral strain (436.1; XBB.1 16·8-fold, p<0.0001; XBB.3: 22·5-fold, p<0·0001) or BA.5.2 strain (87.4; XBB.1 3·4-fold, p=0·0191; XBB.3 4·5-fold, p<0·0001), but the difference between XBB.1 and XBB.3 was not statistically significant (p=0·17; appendix p 1). All subgroups with different history of vaccination or infection had a statistically significantly lower GMT against XBB.1 or XBB.3 than those against the ancestral strain (appendix p 1).

Paired acute and convalescent serum specimens were available for one patient with BA.5.2 and two patients with XBB. The patient who had previously had a BA.5.2 infection, had a 16·2 times higher NT50 GMT against the ancestral strain and a 16·5 times higher GMT NT50 against BA.5.2 for the convalescent serum than the acute serum, but the acute and convalescent sera had similar NT50 against XBB.1 or XBB.3 (appendix p 2). The patient who had previously had an XBB.1 infection had an increase in their NT50 GMT against the ancestral strain by 7·9 times, BA.5.2 by 29·6 times, XBB.1 by 21·3 times, and XBB.3 by 28·1 times (appendix p 2). The patient who had previously had an XBB.3 infection had an increase in their NT50 GMT against XBB.1 by 10·8 times and XBB.3 by 6·9 times; this patient had a 2·1 times increase in their NT50 GMT against the ancestral strain and a 3·2 times increase against BA.5.2. In summary, our data showed that both XBB.1 and XBB.3 were much more immunoevasive than ancestral strain and BA.5.2. This immunoevasion is consistently seen in patients with different history of vaccination or infection. Since patients infected with BA.5.2 might not elicit neutralising antibody against XBB sublineage, patients who have been infected with BA.5 or those with bivalent vaccine might have a higher risk of reinfection or vaccine breakthrough infection from XBB sublineage than previous sublineages.

Acknowledgments

IF-NH received payment from MSD for speaking at the COVID-19 Regional Expert Input Forum 2021; is on the advisory board of Pfizer on COVID-19 management in 2022; and was on the advisory board of Gilead on evolving treatment landscape in COVID-19 in 2021. K-YY and KK-WT report collaboration with SinoVac and Sinopharm. All other authors declare no competing interests. XZ and L-LC contributed equally. We would like to acknowledge Deborah Ho and Polly Pang for their help in patient recruitment; and Kwok-Hung Chan, Allen Chu, Brian Chan, and Ricky Zhang for their technical support. This work was supported by Health and Medical Research Fund, the Food and Health Bureau, The Government of the Hong Kong Special Administrative Region (HKSAR; COVID1903010 [Project 1]), Consultancy Service for Enhancing Laboratory Surveillance of Emerging Infectious Diseases and Research Capability on Antimicrobial Resistance for Department of Health of the HKSAR; the Theme-Based Research Scheme (T11/707/15) of the Research Grants Council, HKSAR; Emerging Collaborative Project of Guangzhou Laboratory (EKPG22-01); and Emergency COVID-19 Project (2021YFC0866100), Major Projects on Public Security, National Key Research and Development Program; and donations of Richard Yu and Carol Yu, Shaw Foundation Hong Kong, Michael Seak-Kan Tong, May Tam Mak Mei Yin, Lee Wan Keung Charity Foundation, Hong Kong Sanatorium and Hospital, Respiratory Viral Research Foundation Limited, Hui Ming, Hui Hoy and Chow Sin Lan Charity Fund, Chan Yin Chuen Memorial Charitable Foundation, Marina Man-Wai Lee, the Jessie and George Ho Charitable Foundation, Kai Chong Tong, Tse Kam Ming Laurence, Foo Oi Foundation, Betty Hing-Chu Lee, and Ping Cham So.

Supplementary Material

Supplementary appendix
mmc1.pdf (314KB, pdf)

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary appendix
mmc1.pdf (314KB, pdf)

Articles from The Lancet. Microbe are provided here courtesy of Elsevier

RESOURCES