Anti-membrane and anti-spike antibodies are long-lasting and together discriminate between past COVID-19 infection and vaccination

The consequences of past COVID-19 infection for personal health and long-term population immunity are only starting to be revealed. Unfortunately, detecting past infection is currently a challenge, limiting clinical and research endeavors. Widely available anti-SARS-CoV-2 antibody tests cannot differentiate between past infection and vaccination given vaccine-induced anti-spike antibodies and the rapid loss of infection-induced anti-nucleocapsid antibodies. Anti-membrane antibodies develop after COVID-19, but their long-term persistence is unknown. Here, we demonstrate that anti-membrane IgG is a sensitive and specific marker of past COVID-19 infection and persists at least one year. We also confirm that anti-receptor binding domain (RBD) Ig is a long-lasting, sensitive, and specific marker of past infection and vaccination, while anti-nucleocapsid IgG lacks specificity and quickly declines after COVID-19. Thus, a combination of anti-membrane and anti-RBD antibodies can accurately differentiate between distant COVID-19 infection, vaccination, and naïve states to advance public health, individual healthcare, and research goals.

Errataetall:

UpdateIn: J Infect Dis. 2022 Jun 27;:. - PMID 35758987

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - year:2021

Enthalten in:

medRxiv : the preprint server for health sciences - (2021) vom: 08. Nov.

Sprache:

Englisch

Beteiligte Personen:

Amjadi, Maya F [VerfasserIn]
Adyniec, Ryan R [VerfasserIn]
Gupta, Srishti [VerfasserIn]
Bashar, S Janna [VerfasserIn]
Mergaert, Aisha M [VerfasserIn]
Braun, Katarina M [VerfasserIn]
Moreno, Gage K [VerfasserIn]
O'Connor, David H [VerfasserIn]
Friedrich, Thomas C [VerfasserIn]
Safdar, Nasia [VerfasserIn]
McCoy, Sara S [VerfasserIn]
Shelef, Miriam A [VerfasserIn]

Links:

Volltext

Themen:

Preprint

Anmerkungen:

Date Revised 06.02.2024

published: Electronic

UpdateIn: J Infect Dis. 2022 Jun 27;:. - PMID 35758987

Citation Status PubMed-not-MEDLINE

doi:

10.1101/2021.11.02.21265750

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM333286324