| Literature DB >> 32343948 |
Andrea Padoan1, Laura Sciacovelli2, Daniela Basso1, Davide Negrini3, Silvia Zuin3, Chiara Cosma2, Diego Faggian2, Paolo Matricardi4, Mario Plebani5.
Abstract
Validation studies of serological antibody tests must be properly designed for clinical, epidemiological and Public Health objectives such as confirmation of suspected COVID-19 cases, certification of seroconversion after infection, and epidemiological surveillance. We evaluated the kinetics of IgM, IgA and IgG SARS-CoV-2 antibodies in COVID-19 patients with confirmed (rRT-PCR) infection. We found that the IgA response appears and grows early, peaks at week 3, and it is stronger and more persistent than the IgM response. Further longitudinal investigations of virus-specific antibodies functions and of their protective efficacy over time are needed.Entities:
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Year: 2020 PMID: 32343948 PMCID: PMC7194886 DOI: 10.1016/j.cca.2020.04.026
Source DB: PubMed Journal: Clin Chim Acta ISSN: 0009-8981 Impact factor: 3.786
Fig. 1Kinetics of IgA (ELISA) and IgM (CLIA) of patients monitored from the onset of symptoms (fever).
Fig. 2Spaghetti plot of patients with more than 3 serial antibody determinations after the onset of symptoms (fever): A) IgA (n = 17 patients); B) IgM (n = 18 patients).
Descriptive statistics of IgA and IgM measurements, subdivided on the basis of each time point, up to 22–23 days (after the onset of fever).
| n | 4 | 8 | |
| Mean ± SD | 0.67 ± 0.62 | 0.44 ± 0.15 | |
| Median (IQR) | 0.55 (0.25–1.01) | 0.44(0.33–0.54) | |
| Min – Max | 0.05–1.52 | 0.24–0.69 | |
| n of Positive Tests (%) | 1/4 (25.0%) | 0/8 (0%) | |
| n | 4 | 8 | |
| Mean ± SD | 2.00 ± 1.27 | 0.82 ± 0.56 | |
| Median (IQR) | 1.64 (1.08–2.99) | 0.55 (0.48–1.07) | |
| Min-Max | 0.95–3.77 | 0.38–2.01 | |
| n of Positive Tests (%) | 3/4 (75.0%) | 2/8 (25.0%) | |
| n | 6 | 18 | |
| Mean ± SD | 7.20 ± 2.91 | 2.45 ± 2.90 | |
| Median (IQR) | 8.6 (5.63–9.21) | 1.02 (0.68–2.11) | |
| Min-Max | 1.93–9.25 | 0.38–8.57 | |
| n of Positive Tests (%) | 6/6 (100%) | 9/18 (50%) | |
| n | 11 | 17 | |
| Mean ± SD | 5.17 ± 3.64 | 3.22 ± 5.40 | |
| Median (IQR) | 4.90 (0.41–8.39) | 1.09 (0.7–2.12) | |
| Min-Max | 0.29–9.15 | 0.39–18.04 | |
| n of Positive Tests (%) | 8/11 (72.73%) | 9/17 (52.9%) | |
| n | 6 | 14 | |
| Mean ± SD | 7.42 ± 2.18 | 5.13 ± 5.18 | |
| Median (IQR) | 8.37 (6.29–9.00) | 2.81 (1.48–9.21) | |
| Min-Max | 3.48–9.06 | 0.44–16.03 | |
| n of Positive Tests (%) | 6/6 (100.0%) | 11/14 (78.6%) | |
| n | 6 | 17 | |
| Mean ± SD | 6.41 ± 2.63 | 2.41 ± 1.82 | |
| Median (IQR) | 6.68 (3.58–8.98) | 1.93 (1.04–3.53) | |
| Min-Max | 3.45–9.083 | 0.44–7.40 | |
| n of Positive Tests (%) | 6/6 (100.0%) | 13/17 (76.5%) | |
| n | 5 | 18 | |
| Mean ± SD | 7.74 ± 2.46 | 2.50 ± 1.78 | |
| Median (IQR) | 8.67 (8.48–9.04) | 1.86 (1.22–3.34) | |
| Min-Max | 3.37–9.13 | 0.75–7.69 | |
| n of Positive Tests (%) | 5/5 (100%) | 16/18 (88.9%) | |
| n | 7 | 17 | |
| Mean ± SD | 7.56 ± 2.04 | 2.01 ± 1.56 | |
| Median (IQR) | 8.29 (5.49–9.13) | 1.49 (1.12–2.09) | |
| Min-Max | 3.90–9.18 | 0.89–7.33 | |
| n of Positive Tests (%) | 7/7 (100%) | 16/17 (94.1%) | |
| n | 8 | 12 | |
| Mean ± SD | 8.38 ± 1.44 | 1.83 ± 1.18 | |
| Median (IQR) | 9.03 (8.30–9.09) | 1.36 (1.06–2.12) | |
| Min-Max | 4.94–9.22 | 0.78–4.70 | |
| n of Positive Tests (%) | 8/8 (100%) | 10/12 (83.3%) | |
| n | 10 | 22 | |
| Mean ± SD | 7.36 ± 2.60 | 1.76 ± 1.16 | |
| Median (IQR) | 8.70 (5.16–9.09) | 1.32 (0.92–2.26) | |
| Min-Max | 1.95–9.15 | 0.38–5.07 | |
| n of Positive Tests (%) | 10/10 (100%) | 15/22 (68.2%) |
n = number of samples obtained within the specified time period.