Early and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients
Abstract Most patients infected with SARS-CoV-2 are asymptomatic or mildly symptomatic. However, the early and late antibody kinetics, and the association between antibody levels, clinical symptoms, and disease phase in these patients have not yet been fully defined. Confirmed SARS-CoV-2 patients an...
Guardado en:
Autores principales: | , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6d96d027b0354b4aab45a096bfa175fc |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:6d96d027b0354b4aab45a096bfa175fc |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:6d96d027b0354b4aab45a096bfa175fc2021-12-02T14:33:51ZEarly and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients10.1038/s41598-021-93175-y2045-2322https://doaj.org/article/6d96d027b0354b4aab45a096bfa175fc2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93175-yhttps://doaj.org/toc/2045-2322Abstract Most patients infected with SARS-CoV-2 are asymptomatic or mildly symptomatic. However, the early and late antibody kinetics, and the association between antibody levels, clinical symptoms, and disease phase in these patients have not yet been fully defined. Confirmed SARS-CoV-2 patients and their household contacts were evaluated over a period four months. The evaluation procedure included symptom monitoring, viral load and serology analysis every ten days. A total of 1334 serum samples were collected from 135 patients and analyzed using three assays for IgG-N, IgG-S and IgM antibodies. Of the study participants, 97% were seropositive during the study, and two distinct clusters were identified. These clusters were significantly different in their inflammatory related symptoms. Peak IgG-S was 40.0 AU/ml for the non-inflammatory cluster and 71.5 AU/ml for the inflammatory cluster (P = 0.006), whereas IgG-N peaks were 4.3 and 5.87 (P = 0.023) respectively. Finally, a decision tree model was designed to predict the disease phase based on the serological titer levels, and had an overall accuracy of 80.7%. The specific profile of seroconversion and decay of serum antibodies can be used to predict the time-course from the acute infection.Shai EfratiMerav CatalognaRamzia Abu HamedAmir HadannyAdina Bar-ChaimPatricia Benveniste-LevkovitzRefael StrugoOsnat Levtzion-korachNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Shai Efrati Merav Catalogna Ramzia Abu Hamed Amir Hadanny Adina Bar-Chaim Patricia Benveniste-Levkovitz Refael Strugo Osnat Levtzion-korach Early and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients |
description |
Abstract Most patients infected with SARS-CoV-2 are asymptomatic or mildly symptomatic. However, the early and late antibody kinetics, and the association between antibody levels, clinical symptoms, and disease phase in these patients have not yet been fully defined. Confirmed SARS-CoV-2 patients and their household contacts were evaluated over a period four months. The evaluation procedure included symptom monitoring, viral load and serology analysis every ten days. A total of 1334 serum samples were collected from 135 patients and analyzed using three assays for IgG-N, IgG-S and IgM antibodies. Of the study participants, 97% were seropositive during the study, and two distinct clusters were identified. These clusters were significantly different in their inflammatory related symptoms. Peak IgG-S was 40.0 AU/ml for the non-inflammatory cluster and 71.5 AU/ml for the inflammatory cluster (P = 0.006), whereas IgG-N peaks were 4.3 and 5.87 (P = 0.023) respectively. Finally, a decision tree model was designed to predict the disease phase based on the serological titer levels, and had an overall accuracy of 80.7%. The specific profile of seroconversion and decay of serum antibodies can be used to predict the time-course from the acute infection. |
format |
article |
author |
Shai Efrati Merav Catalogna Ramzia Abu Hamed Amir Hadanny Adina Bar-Chaim Patricia Benveniste-Levkovitz Refael Strugo Osnat Levtzion-korach |
author_facet |
Shai Efrati Merav Catalogna Ramzia Abu Hamed Amir Hadanny Adina Bar-Chaim Patricia Benveniste-Levkovitz Refael Strugo Osnat Levtzion-korach |
author_sort |
Shai Efrati |
title |
Early and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients |
title_short |
Early and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients |
title_full |
Early and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients |
title_fullStr |
Early and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients |
title_full_unstemmed |
Early and long term antibody kinetics of asymptomatic and mild disease COVID-19 patients |
title_sort |
early and long term antibody kinetics of asymptomatic and mild disease covid-19 patients |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/6d96d027b0354b4aab45a096bfa175fc |
work_keys_str_mv |
AT shaiefrati earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients AT meravcatalogna earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients AT ramziaabuhamed earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients AT amirhadanny earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients AT adinabarchaim earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients AT patriciabenvenistelevkovitz earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients AT refaelstrugo earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients AT osnatlevtzionkorach earlyandlongtermantibodykineticsofasymptomaticandmilddiseasecovid19patients |
_version_ |
1718391134265278464 |