SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023
| Title: | SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023 |
|---|---|
| Authors: | Yaniv Lustig; Michal Canetti; Victoria Indenbaum; Yovel Peretz; Yael Weiss-Ottolenghi; Ili Margalit; Keren Asraf; Tal Levin; Neta Zuckerman; Enosh Tomer; Michal Mandelboim; Ram Doolman; Noam Barda; Gili Regev-Yochay |
| Source: | Emerging Infectious Diseases, Vol 30, Iss 5, Pp 1050-1052 (2024) |
| Publisher Information: | Centers for Disease Control and Prevention |
| Publication Year: | 2024 |
| Collection: | Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: | SARS-CoV-2; XBB variant; IgG; antibodies; neutralizing antibodies; viruses; Medicine; Infectious and parasitic diseases; RC109-216 |
| Description: | Although a vaccine against SARS-CoV-2 Omicron-XBB.1.5 variant is available worldwide and recent infection is protective, the lack of recorded infection data highlights the need to assess variant-specific antibody neutralization levels. We analyzed IgG levels against receptor-binding domain–specific SARS-CoV-2 ancestral strain as a correlate for high neutralizing titers against XBB variants. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| Relation: | https://wwwnc.cdc.gov/eid/article/30/5/23-1739_article; https://doaj.org/toc/1080-6040; https://doaj.org/toc/1080-6059; https://doaj.org/article/b393d89de85d45698a93438f6f9f33c2 |
| DOI: | 10.3201/eid3005.231739 |
| Availability: | https://doi.org/10.3201/eid3005.231739; https://doaj.org/article/b393d89de85d45698a93438f6f9f33c2 |
| Accession Number: | edsbas.320615DA |
| Database: | BASE |