Back

SARS-CoV-2 hijacks neutralizing dimeric IgA for enhanced nasal infection and injury

Zhou, B.; Zhou, R.; Chan, J. F.-W.; Zeng, J.; Zhang, Q.; Yuan, S.; Liu, L.; Robinot, R.; Shan, S.; Ge, J.; Kwong, H. Y.-H.; Zhou, D.; Xu, H.; Chan, C. C.-S.; Poon, V. K.-M.; Chu, H.; Yue, M.; Kwan, K.-Y.; Chan, C.-Y.; Liu, N.; Chan, C. C.-Y.; Chik, K. K.-H.; Du, Z.; Au, K.-K.; Huang, H.; Man, H.-O.; Cao, J.; Li, C.; Wang, Z.; Zhou, J.; Song, Y.; Yeung, M.-L.; To, K. K.-W.; Ho, D. D.; Chakrabarti, L. A.; Wang, X.; Zhang, L.; Yuen, K.-Y.; Chen, Z.

2021-10-06 microbiology
10.1101/2021.10.05.463282 bioRxiv
Show abstract

Robust severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in nasal turbinate (NT) accounts for high viral transmissibility, yet whether neutralizing IgA antibodies can control it remains unknown. Here, we evaluated receptor binding domain (RBD)-specific monomeric B8-mIgA1 and B8-mIgA2, and dimeric B8-dIgA1 and B8-dIgA2 against intranasal SARS-CoV-2 challenge in Syrian hamsters. These antibodies exhibited comparably potent neutralization against authentic virus by competing with human angiotensin converting enzyme-2 (ACE2) receptor for RBD binding. While reducing viruses in lungs, pre-exposure intranasal B8-dIgA1 or B8-dIgA2 led to 81-fold more infectious viruses and severer damage in NT than placebo. Virus-bound B8-dIgA1 and B8-dIgA2 could engage CD209 as an alternative receptor for entry into ACE2-negative cells and allowed viral cell-to-cell transmission. Cryo-EM revealed B8 as a class II neutralizing antibody binding trimeric RBDs in 3-up or 2-up/1-down conformation. Therefore, RBD-specific neutralizing dIgA engages an unexpected action for enhanced SARS-CoV-2 nasal infection and injury in Syrian hamsters.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.