SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023

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

doi:10.3201/eid3005.231739

SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023

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

Tel Aviv University, Bar-Ilan University, Ben-Gurion University of the Negev

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	1050-1052
Number of pages	3
Journal	Emerging Infectious Diseases
Volume	30
Issue number	5
DOIs	https://doi.org/10.3201/eid3005.231739
State	Published - 1 May 2024

All Science Journal Classification (ASJC) codes

Epidemiology
Microbiology (medical)
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3201/eid3005.231739

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Lustig, Y., Canetti, M., Indenbaum, V., Peretz, Y., Weiss-Ottolenghi, Y., Margalit, I., Asraf, K., Levin, T., Zuckerman, N., Tomer, E., Mandelboim, M., Doolman, R., Barda, N., & Regev-Yochay, G. (2024). SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023. Emerging Infectious Diseases, 30(5), 1050-1052. https://doi.org/10.3201/eid3005.231739

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abstract = "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.",

author = "Yaniv Lustig and Michal Canetti and Victoria Indenbaum and Yovel Peretz and Yael Weiss-Ottolenghi and Ili Margalit and Keren Asraf and Tal Levin and Neta Zuckerman and Enosh Tomer and Michal Mandelboim and Ram Doolman and Noam Barda and Gili Regev-Yochay",

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month = may,

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doi = "10.3201/eid3005.231739",

language = "الإنجليزيّة",

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Lustig, Y, Canetti, M, Indenbaum, V, Peretz, Y, Weiss-Ottolenghi, Y, Margalit, I, Asraf, K, Levin, T, Zuckerman, N, Tomer, E, Mandelboim, M, Doolman, R, Barda, N & Regev-Yochay, G 2024, 'SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023', Emerging Infectious Diseases, vol. 30, no. 5, pp. 1050-1052. https://doi.org/10.3201/eid3005.231739

TY - JOUR

T1 - SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023

AU - Lustig, Yaniv

AU - Canetti, Michal

AU - Indenbaum, Victoria

AU - Peretz, Yovel

AU - Weiss-Ottolenghi, Yael

AU - Margalit, Ili

AU - Asraf, Keren

AU - Levin, Tal

AU - Zuckerman, Neta

AU - Tomer, Enosh

AU - Mandelboim, Michal

AU - Doolman, Ram

AU - Barda, Noam

AU - Regev-Yochay, Gili

PY - 2024/5/1

Y1 - 2024/5/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85191460821&partnerID=8YFLogxK

U2 - 10.3201/eid3005.231739

DO - 10.3201/eid3005.231739

M3 - مقالة

C2 - 38666742

SN - 1080-6040

VL - 30

SP - 1050

EP - 1052

JO - Emerging Infectious Diseases

JF - Emerging Infectious Diseases

IS - 5

ER -

SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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