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. 2020 Sep 10;383(11):1085-1087.
doi: 10.1056/NEJMc2025179. Epub 2020 Jul 21.

Rapid Decay of Anti-SARS-CoV-2 Antibodies in Persons with Mild Covid-19

F Javier Ibarrondo  1 , Jennifer A Fulcher  1 , David Goodman-Meza  1 , Julie Elliott  1 , Christian Hofmann  1 , Mary A Hausner  1 , Kathie G Ferbas  1 , Nicole H Tobin  1 , Grace M Aldrovandi  1 , Otto O Yang  1
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Rapid Decay of Anti-SARS-CoV-2 Antibodies in Persons with Mild Covid-19

F Javier Ibarrondo et al. N Engl J Med. .

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Figure 1
Figure 1. Longitudinal Assessment of Anti–SARS-CoV-2 Receptor-Binding Domain IgG in Persons Who Recovered from Covid-19.
Approximately 80 persons who recovered from Covid-19 referred themselves to our institution to inquire about observational research. Of 68 persons who volunteered to provide initial blood samples, 41 returned to provide repeat samples. Of those persons, 3 were excluded from this analysis because of unclear timing of infection and 4 were excluded because of initial and repeat serum antibody measurements below the limit of reliable quantitative detection. For the 34 participants in our analysis, anti–SARS-CoV-2 receptor-binding domain (RBD) serum IgG concentrations were quantified by enzyme-linked immunosorbent assay as equivalent binding activity to a concentration of a control monoclonal IgG for at least two time points (31 of the 34 participants had two measurements, and the remaining 3 participants had three measurements). Panel A shows log-transformed IgG concentrations plotted against the time since the onset of symptoms in each participant. Panel B shows a linear regression model that was created to estimate the effects of the participants’ age and sex, the days from symptom onset to the first measurement, and the first measured log10 antibody level on the slope reflecting the change in anti-RBD antibody levels (in log10 ng per milliliters per day). The values for age and antibody level were centered at the mean. The time since symptom onset was centered at day 18 and adjusted per 100 days. Thus, the intercept of the model can be interpreted as the average slope adjusted for age, sex, and time and value of the first measurement. CI denotes confidence interval.
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