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.
| Original language | English |
|---|---|
| Article number | 13780 |
| Journal | Scientific Reports |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2 Jul 2021 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021, The Author(s).
Funding
The study was funded by a research grant from the Sagol Network for Neuroscience established by Mr. Sami Sagol. This study was performed in collaboration with the Israeli Ministry of Health. We would like to thank Dr.