Abstract
word count: 172 12
Text word count: 3,282 13
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2
Footnotes 14
1Potential conflicts of interest have been disclosed within the ICMJE Disclosure Forms. 15
2This work was supported by the United States Centers for Disease Control and Prevention. 16
3This work has not been presented at any national or international meeting. 17
4Correspondence: Adi V. Gundlapalli, MD, PhD, Center for Surveillance, Epidemiology, and 18
Laboratory Services, United States Centers for Disease Control and Prevention, Atlanta, Georgia, 19
30333;
[email protected] 20
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Abstract
21
Previous vaccine efficacy (VE) studies have estimated neutralizing and binding antibody 22
concentrations that correlate with protection from symptomatic infection; how these estimates compare 23
to those generated in response to SARS-CoV-2 infection is unclear. Here, we assessed quantitative 24
neutralizing and binding antibody concentrations using standardized SARS-CoV-2 assays on 3,067 25
serum specimens collected during July 27, 2020-August 27, 2020 from COVID-19 unvaccinated persons 26
with detectable anti-SARS-CoV-2 antibodies using qualitative antibody assays. Quantitative neutralizing 27
and binding antibody concentrations were strongly positively correlated (r=0.76, p<0.0001) and were 28
noted to be several fold lower in the unvaccinated study population as compared to published data on 29
concentrations noted 28 days post-vaccination. In this convenience sample, ~88% of neutralizing and 30
~63-86% of binding antibody concentrations met or exceeded concentrations associated with 70% 31
COVID-19 VE against symptomatic infection from published VE studies; ~30% of neutralizing and 1-32
14% of binding antibody concentrations met or exceeded concentrations associated with 90% COVID-33
19 VE. These data support observations of infection-induced immunity and current recommendations 34
for vaccination post infection to maximize protection against symptomatic COVID-19. 35
36
Keywords
SARS-CoV-2, COVID-19, quantitative anti-SARS-CoV-2 IgG, neutralizing antibodies, 37
correlation, antibody, immune, protection, correlate of protection 38
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Background
39
As of October 18, 2021, 66.7% of the US population 12 years of age and older has been fully 40
vaccinated for COVID-19 [1]. A recent Gallup survey found that 18% of Americans would not agree to 41
be vaccinated if a US Food and Drug Administration (FDA)-approved COVID-19 vaccine were 42
available to them immediately at no cost [2]. One of the primary reasons cited for vaccine hesitancy was 43
a history of SARS-CoV-2 infection and resultant antibodies. 44
Cumulative evidence indicates that SARS-CoV-2 antibodies are protective against SARS-CoV-2 re-45
infection [3]. A series of non-human primate challenge studies demonstrated the central role of SARS-46
CoV-2 neutralizing antibodies in protection from re-infection [4-6]. A randomized clinical trial 47
involving the subcutaneous administration of REGEN-COV, a combination of two SARS-CoV-2 48
neutralizing monoclonal antibodies, or placebo within 96 hours of SARS-CoV-2 exposure demonstrated 49
that REGEN-COV prevented symptomatic COVID-19 and asymptomatic SARS-CoV-2 infection [7]. A 50
longitudinal study of >12,000 health care workers showed that SARS-CoV-2 infection-induced 51
protective immunity lasts for at least 6 months [8]. 52
The establishment of the First World Health Organization (WHO) International Standard for Anti-53
SARS-CoV-2 Immunoglobulin [9] for quantitative assessment of neutralizing and binding antibody 54
concentrations has made it possible for COVID-19 vaccine efficacy (VE) studies [10-13] to describe and 55
propose standardized immune correlates of protection against symptomatic infection (or risk of 56
symptomatic infection) in fully-vaccinated persons (i.e., 2 weeks after their second dose in a 2-dose 57
series, such as Pfizer-BioNTech (BNT162b2), Moderna (mRNA-1273), or AstraZeneca (ChAdOx1) 58
vaccines OR 2 weeks after a single-dose vaccine, such as Johnson & Johnson’s Janssen [JNJ-78436735] 59
vaccine) across vaccine trials that have used different antibody assays. Comparing antibody 60
concentrations of unvaccinated persons with anti-SARS-CoV-2 antibodies to COVID-19 vaccinated 61
cohorts and to estimated antibody concentrations associated with COVID-19 vaccine effectiveness 62
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would accomplish three goals: 1) improve understanding of the population distribution of antibody 63
concentrations in response to infection and vaccination, 2) help establish relationship of quantitative 64
antibody levels to those associated with protection against illness from published studies, and 3) inform 65
better targeted messaging for universal COVID-19 vaccination. 66
Numerous SARS-CoV-2 serological assays have been developed over the course of the COVID-19 67
pandemic to measure virus-specific antibody responses [14]. Persons who recover from SARS-CoV-2 68
infection or receive a COVID-19 vaccine typically develop virus-specific neutralizing antibodies, with 69
most of these antibodies directed against the immunodominant receptor binding domain (RBD) of the 70
spike (S) protein [15, 16]. Efficacy trials of the ChAdOx1 [11] and mRNA-1273 [12] vaccines showed 71
that higher anti-SARS-CoV-2 S IgG, anti-SARS-CoV-2 RBD IgG, and SARS-CoV-2 neutralizing 72
antibody concentrations were correlated with a reduced risk of symptomatic infection. Both trials 73
determined antibody concentrations associated with varying levels of VE against symptomatic COVID-74
19 [11, 12]. The ChAdOx1 vaccine trial estimated that 70% and 90% VE against symptomatic COVID-75
19 was associated with 50% neutralizing antibody titer (NT50) concentrations of 3.7 and 64.1 76
international units per mL (IU/mL), respectively, and 70% and 90% VE was associated with anti-RBD 77
IgG antibodies concentrations of 165.0 and 2360.0 binding antibody units per mL (BAU/mL), 78
respectively [11]. The mRNA-1273 vaccine trial estimated that 70% and 90% VE against symptomatic 79
COVID-19 was associated with NT50 concentrations of 4.0 and 83.0 IU/mL, respectively, and 70% and 80
90% VE was associated with anti-RBD IgG antibodies concentrations of 8.0 and 775.0 BAU/mL, 81
respectively [12]. However, it remains unclear how these antibody concentrations compare to those 82
generated in response to SARS-CoV-2 infection in COVID-19 unvaccinated persons. To answer this 83
question, we tested 3,067 pre-vaccination sera collected as part of a nationwide commercial laboratory 84
seroprevalence study led by the US Centers for Disease Control and Prevention (CDC) [17] that had 85
previously tested positive for anti-SARS-CoV-2 antibodies using standardized anti-SARS-CoV-2 RBD 86
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IgG and SARS-CoV-2 pseudovirus neutralization antibody assays, and then compared these antibody 87
concentrations to concentrations measured in COVID-19 vaccinated cohorts (28 days post-vaccination) 88
and to those associated with 70% and 90% COVID-19 VE against symptomatic infection for two of the 89
vaccines for which such data are published to date. 90
Methods
91
Specimen Source and Study Design 92
Sera were collected by two US-based commercial laboratories for routine or acute clinical care (e.g., 93
cholesterol screening or a sick visit) as part of a nationwide seroprevalence study; detailed methods have 94
previously been described [17]. Briefly, blood specimens collected for COVID-19-related reasons were 95
excluded. Sera were tested [17] for anti-SARS-CoV-2 antibodies using one of the following three 96
qualitative assays issued emergency use authorization by the FDA that were in use in the clinical 97
laboratories: 1) Architect™ SARS -CoV-2 IgG Assay (nucleocapsid (N) protein; Abbott, Chicago, IL), 98
2) VITROS® Anti-SARS-CoV-2 IgG Assay (S protein; Ortho-Clinical Diagnostics, Raritan, NJ), and 3) 99
Elecsys® Anti-SARS-CoV-2 Assay (N protein; Roche, Indianapolis, IN) (Supplementary figure 3). 100
Among 84,683 total serum samples collected during July 27, 2020-August 27, 2020 identified as anti-101
SARS-CoV-2 antibody positive and had linked age and sex information (as part of the larger 102
serosurveillance study) [17], 3067 serum specimens were selected by convenience sampling for reflex 103
testing with anti-SARS-CoV-2 quantitative IgG and neutralizing antibody assays. Data on race, 104
ethnicity, and occurrence or date of SARS-CoV-2 infection or symptoms were not available; data on 105
prior SARS-CoV-2 quantitative reverse transcription polymerase chain reaction qRT-PCR test results 106
were not available for most persons. 107
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Ethics 108
This activity was reviewed by CDC and was conducted consistent with applicable federal law and 109
CDC policy (45 C.F.R. part 46, 21 C.F.R. part 56; 42 U.S.C. Sect. 241(d); 5 U.S.C. Sect. 552a; 44 110
U.S.C. Sect. 3501 et seq.). Informed consent was waived, as all data were deidentified. 111
PhenoSense® CoV Neutralizing Antibody Assay 112
Neutralizing antibodies against the SARS-CoV-2 S protein were measured using the PhenoSense 113
CoV Neutralizing Antibody Assay® [18]. To measure SARS-CoV-2 neutralizing antibodies, human 114
immunodeficiency virus-1 pseudovirions expressing the SARS-CoV-2 S protein were prepared by co-115
transfecting HEK293 producer cells with an HIV-1 genomic vector and a SARS-CoV-2 envelope 116
protein expression vector. Serial dilutions of sera were incubated with recombinant pseudovirions and 117
neutralizing activity was assessed by measuring the inhibition of luciferase activity in HEK293 target 118
cells co-expressing the angiotensin-converting enzyme 2 and transmembrane serine protease 2 receptors. 119
Fifty percent neutralizing antibody titers (NT50) were expressed as the reciprocal of the serum dilution 120
conferring 50% inhibition of pseudovirus infection. Calibration of the PhenoSense CoV Neutralizing 121
Antibody Assay® with the First WHO International Standard for Anti-SARS-CoV-2 Immunoglobulin 122
(20/136, National Institute for Biological Standards and Controls, UK) [9] allowed us to generate a 123
calibration factor of 0.0653 (S protein containing G614) and convert NT50 values from titers to 124
international units per mL (IU/mL) by multiplying by the calibration factor . 125
Cov2Quant IgG® Assay 126
Anti-SARS-CoV-2 RBD IgG in sera were quantified using the electrochemiluminescent (ECL) 127
Cov2Quant IgG® Assay [19]. Briefly, sera were incubated with biotin-conjugated, recombinant SARS-128
CoV-2 RBD antigen bound to a streptavidin, carbon-coated microtiter well plate. After washing the 129
plate, the wells were incubated with ruthenium-conjugated anti-IgG and a final wash was performed to 130
remove unbound material. Voltage was applied to the metallic electrode on the base of the plate and a 131
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photomultiplier was used to measure the ECL signal generated from each well. The signal in relative 132
light units (RLU) is directly proportional to the anti-RBD IgG concentration in sera. Each assay batch 133
included a dilution series of affinity-purified human IgG standard that was used to calculate the anti-134
SARS-CoV-2 RBD IgG concentration of each serum. Calibration of the Cov2Quant IgG® Assay with 135
the WHO International Standard allowed us to generate a calibration factor of 25 and convert anti-136
SARS-CoV-2 RBD IgG concentrations from µg/mL to binding antibody units per mL (BAU/mL) by 137
multiplying by the calibration factor. 138
Comparison of Study Antibody Data to Antibody Concentrations Associated with COVID-19 VE 139
Of the COVID-19 vaccines in use around the world currently, serological correlates of protection 140
thresholds associated with VE have been estimated for ChAdOx1 [11] and mRNA-1273 [12] using the 141
First WHO International Standard for Anti-SARS-CoV-2 Immunoglobulin. As the quantitative antibody 142
assays used in our study were calibrated to the same standard, we were able to compare antibody 143
concentrations in our study to those estimated to be associated with 70% and 90% COVID-19 VE to 144
ChAdOx1 and mRNA-1273. 145
Statistical Analyses 146
D ata management tasks, and statistical analyses were performed using SAS version 9.4 (SAS 147
Institute Inc., Cary, NC) and GraphPad Prism 9.0.0 (GraphPad Software, San Diego, CA). T-tests on 148
log10-transformed data were used to determine if there were statistically significant differences between 149
geometric mean anti-SARS-CoV-2 RBD IgG and NT50 concentrations by sex. ANOVAs on log10-150
transformed data were used to determine if there were statistically significant differences between 151
geometric mean anti-SARS-CoV-2 RBD IgG and NT50 concentration according to previous qualitative 152
antibody test and age category. Post-hoc Tukey’s tests were performed to identify previous qualitative 153
antibody tests and age categories with significantly different anti-SARS-CoV-2 RBD IgG and NT50 154
concentrations; p-values were adjusted to account for multiple comparisons. Pearson’s correlation was 155
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used to assess the overall relationship between log10anti-RBD IgG and log10NT50 concentrations, as well 156
as the relationships between the two variables across sex and age category. Two-sided p-values <0.05 157
were considered statistically significant. 158
Results
159
Of the overall convenience sample of 3,067 serum specimens collected during July 27, 2020-August 160
27, 2020 with detectable anti-SARS-CoV-2 antibodies on a qualitative assay, 1,309 were from males 161
(42.7%) and 1,758 (57.3%) were from females, 779 (25.4%) were from persons aged <18 years, 982 162
(32.0%) were from persons aged 18–49 years, 798 (26.0%) were from persons aged 50–64 years, and 163
508 (16.6%) were from persons aged ≥65 years. 164
Most of the serum specimens (n=2568, 83.7%) tested positive for both quantitative SARS-CoV-2 165
neutralizing antibodies and quantitative anti-SARS-CoV-2 RBD IgG; 271 sera (8.8%) tested negative 166
for both neutralizing antibodies and anti-RBD IgG, 83 sera (2.7%) tested negative for neutralizing 167
antibodies only, and 145 sera (4.7%) tested negative for anti-RBD IgG only. Geometric mean NT50 168
concentrations differed significantly according to the qualitative antibody test type that was used to 169
screen sera for study inclusion (p<0.0001; Supplementary Figure 4A), while geometric mean anti-RBD 170
IgG concentrations did not differ significantly according to the qualitative antibody test type that was 171
used to screen sera for study inclusion (p=0.02998; Supplementary Figure 4B). 172
The overall geometric mean NT50 concentration was 28.8 IU/mL (95% confidence interval (CI): 173
26.8, 31.0) and did not differ significantly according to sex (male: 30.9 IU/mL, 95% CI: 27.4, 34.8; 174
female: 27.3 IU/mL, 95% CI: 25.0, 30.0; p=0.1088) but differed significantly according to age category 175
(<18 years: 31.3 IU/mL, 95% CI: 28.4, 34.6; 18–49 years: 23.1 IU/mL, 95% CI: 20.3, 26.2; 50–64 176
years: 38.0 IU/mL, 95% CI: 32.5, 44.4; ≥65 years: 25.0 IU/mL, 95% CI: 20, 31.3; p<0.0001; Figure 177
1A). Persons aged <18 years had significantly higher NT50 concentrations compared to persons aged 18–178
49 years (p=0.0108), and persons aged 50–64 years had significantly higher NT50 concentrations 179
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compared to persons aged 18–49 years (p<0.0001) and persons aged ≥65 years (p=0.0020) (Figure 1A). 180
The overall geometric mean anti-RBD IgG concentration was 162.5 BAU/mL (95% CI: 152.9, 172.7) 181
and did not differ significantly according to sex (male: 171.3 BAU/mL, 95% CI: 155.6, 188.5; female: 182
156.3 BAU/mL, 95% CI: 144.4, 169.1; p=0.1447) but did differ significantly according to age category 183
(<18 years: 218.2 BAU/mL, 95% CI: 199.2, 239.1; 18–49 years: 122.2 BAU/mL, 95% CI: 109.8, 136.1; 184
50–64 years: 189.0 BAU/mL, 95% CI: 167.2, 213.7; ≥65 years: 141.4 BAU/mL, 95% CI: 117.8, 169.8; 185
p<0.0001; Figure 1B). Like the age-associated patterns of neutralizing antibody concentrations, persons 186
aged <18 years had significantly higher anti-RBD IgG concentrations compared to persons aged 18–49 187
years (p<0.0001) and persons aged ≥65 years (p<0.0001), and persons aged 50–64 years had 188
significantly higher anti-RBD IgG concentrations compared to persons aged 18–49 years (p<0.0001) 189
and persons aged ≥65 years (p=0.0147) (Figure 1B). 190
We found an overall significant, strong positive correlation between NT50 concentrations and anti-191
RBD IgG concentrations (r=0.76, p<0.0001; Figure 1A). The strength of the relationship remained 192
consistent across sex (male: r=0.76, p<0.0001; female: r=0.76, p<0.0001; Figure 1B) and increased with 193
increasing age category (<18 years: r=0.67, p<0.0001; 18–49 years: r=0.69, p<0.0001; 50–64 years: 194
r=0.79, p<0.0001; ≥65 years: r=0.88, p<0.0001; Figure 2). 195
NT50 concentrations in the overall convenience sample of 3,067 serum specimens collected during 196
July 27, 2020-August 27, 2020 with detectable anti-SARS-CoV-2 antibodies on a qualitative assay were 197
2.7-fold lower and 8.6-fold lower than concentrations reported from serum specimens collected 28 days 198
post COVID-19 vaccination from ChAdOx1 [11] and mRNA-1273 [12] VE study participants classified 199
as not having COVID-19 during the follow-up period, respectively (Figures 3A and B). Likewise, anti-200
RBD IgG concentrations in the overall convenience sample were 1.5-fold lower and 24.2-fold lower 201
than concentrations reported from serum specimens collected 28 days post COVID-19 vaccination from 202
ChAdOx1 and mRNA-1273 VE study participants classified as not having COVID-19 during the 203
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follow-up period, respectively (Figure 3C and D). Overall, 88.3% of serum specimens in this study met 204
or exceeded the concentration of SARS-CoV-2 neutralizing antibodies associated with 70% ChAdOx1 205
and mRNA-1273 VE, while 32.9% and 27.1% of sera met or exceeded the concentration of SARS-CoV-206
2 neutralizing antibodies associated with 90% ChAdOx1 and mRNA-1273 VE, respectively (Figure 207
1A). For binding antibodies, we found that 63.1% and 86.4% of serum specimens from this study met or 208
exceeded the concentration of anti-RBD IgG antibodies associated with 70% ChAdOx1 and mRNA-209
1273 VE, respectively, and 1.3% and 13.6% of sera met or exceeded the concentration of anti-RBD IgG 210
antibodies associated with 90% ChAdOx1 and mRNA-1273 VE, respectively (Figure 1B). A greater 211
percentage of males and persons aged ≥50 years met or exceeded the concentrations of SARS-CoV-2 212
neutralizing antibodies and anti-RBD Ig associated with 70% ChAdOx1 and mRNA-1273 VE than 213
females and persons aged <50 years, respectively. 214
Discussion
215
Similar to the ChAdOx1 [11] and mRNA-1273 [12] VE trial serologic testing results reported in the 216
literature, we demonstrate a statistically significant, strong positive correlation between standardized 217
anti-SARS-CoV-2 RBD IgG and SARS-CoV-2 NT50 concentrations, across all sex and age categories, 218
using sera from unvaccinated persons with previous SARS-CoV-2 infection. Based on these broad 219
correlations, our results suggest that high-throughput, quantitative anti-SARS-CoV-2 RBD IgG assays 220
can be used as surrogates for SARS-CoV-2 pseudovirus neutralization assays that are considered 221
mechanistic correlates of protection [12]. Performing high-throughput, commercially available 222
quantitative IgG assays is logistically feasible and practical on a large scale compared to performing 223
time- and resource-intensive neutralization assays. Thus, there is a continued need for FDA-approved 224
quantitative anti-SARS-CoV-2 S and RBD IgG assays in the management of the pandemic to facilitate 225
assessment of antibody concentrations associated with protection from infection and/or disease [14]. 226
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While our finding that most serum specimens in this study met or exceeded antibody concentrations 227
associated with 70% COVID VE estimates support the real-world observations of infection-induced 228
immunity from re-infection, it is important to note that less than 33% of sera from unvaccinated persons 229
with previous SARS-CoV-2 infection met or exceeded antibody concentrations associated with 90% 230
ChAdOx1 and mRNA-1273 vaccine efficacy. This suggests that not all persons with a history of SARS-231
CoV-2 infection generate antibody responses of sufficient magnitude, as measured by a single, randomly 232
timed blood test, to protect them against symptomatic re-infection. In addition to the circulation of the 233
hyper-transmissible Delta variant of SARS-CoV-2, this finding may also partially explain the rise in 234
COVID-19 cases that occurred in the United States in August 2021 despite a national serosurvey in May 235
2021 showing that 83.3% of the population had SARS-CoV-2 infection- and/or vaccine-induced 236
antibodies [20]. Meanwhile, at least in the short-term (28 days), COVID-19 vaccination can provide 2.7 237
to 8.6-fold higher neutralizing antibody concentrations and 1.5 to 24.2-fold higher binding antibody 238
concentrations. Thus, our results support current guidance that all eligible persons should consider 239
COVID-19 vaccination to maximize their protection against symptomatic COVID-19 regardless of their 240
SARS-CoV-2 infection history. 241
Our sampling approach of selecting specimens identified as positive using at least one qualitative 242
anti-SARS-CoV-2 antibody assay would have selected for persons who had more severe disease and 243
thus higher antibody concentrations, and/or in whom antibodies had not waned. This selection bias may 244
have led us to overestimate the percentage of persons with antibody concentrations meeting or 245
exceeding those concentrations associated with 70% and 90% COVID-19 VE and would have missed 246
persons infected with SARS-CoV-2 who did not mount a measurable post-infection immune response or 247
had antibodies below detectable levels. 248
Our study has several limitations. First, due to the absence of information on whether persons had 249
symptoms or if testing had been done or, if so, the date of COVID-19 symptom onset and/or a positive 250
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SARS-CoV-2 qRT-PCR or antigen test, we were unable to calculate the number of days that had elapsed 251
between infection and collection of serum for antibody testing and thus the measurements might not 252
reflect peak antibody concentrations. The ChAdOx1 and mRNA-1273 VE trials measured serum 253
antibody concentrations 28 days after the second vaccine dose, presumably at the peak of the measurable 254
humoral immune response to the vaccine. Therefore, if the sera used in this study were collected >28 255
days after SARS-CoV-2 infection, it is possible that the percentage of persons with antibody 256
concentrations meeting or exceeding those concentrations associated with 70% and 90% COVID-19 VE 257
were underestimated. However, as a result of the sharp rise in COVID-19 cases in the United States in 258
mid-June 2020 (Supplementary Figure 2) [21], >50% of cases reported in the country prior to July 27, 259
2020 (date first specimens used in this study were collected) occurred after June 15, 2020. This indicates 260
that the majority of sera in this study were likely to have been collected within 73 days of SARS-CoV-2 261
infection, a time before IgG antibody concentrations would be expected to have significantly waned 262
from peak post-infection levels [22]. 263
Second, 13.6% of persons had anti- RBD IgG concentrations below the cutoff value of the assay 264
(37.5 BAU/mL). However, the anti-RBD IgG concentration associated with 70% mRNA-1273 VE (8.0 265
BAU/mL) is below the cutoff value of the Cov2Quant IgG® Assay used in this study. Therefore, it is 266
possible that some persons below the assay cutoff value might have had anti-RBD IgG concentrations 267
greater than or equal to 8.0 BAU/mL, leading us to underestimate the percentage of persons with 268
antibody concentrations meeting or exceeding those concentrations associated with 70% mRNA-1274 269
COVID-19 VE. 270
Third, extrapolating these population-level results to individual-level clinical decision making with 271
regard to immune protection based on a single antibody test poses a challenge. The sera tested here were 272
untimed with regard to onset of infection and we have no knowledge of the immune status of the 273
individuals in terms of co-morbidities and medications. These challenges are also applicable to post-274
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vaccination sera in terms of certain populations responding less well to vaccines in terms of neutralizing 275
and binding antibodies as compared to healthy volunteers in vaccine trials and limited availability of 276
standardized quantitative assays [3]. 277
Fourth, our findings , as well as the timing of the ChAdOx1 CoV-19 and mRNA-1273 VE trials, 278
predate the circulation of the Delta variant of SARS-CoV-2 that exhibits a decreased sensitivity to post-279
vaccination antibody neutralization compared to the Alpha variant of the virus [23]. Therefore, our data 280
is not able to address potential protection of persons infected SARS-CoV-2 in mid-2020 against 281
infection with the Delta variant of the virus. 282
Finally, the efficiency and redundancy of the immune system, especially for the prevention of severe 283
disease, in terms of humoral [12], cellular immunity, memory and anamnestic response on second 284
exposure to SARS-CoV-2 likely contribute to protection beyond an estimate indicated solely by single 285
antibody concentrations [6, 24]. 286
In conclusion, we demonstrate that in this sample, most non- vaccinated persons with qualitative 287
antibody evidence of prior infection had quantitative antibody concentrations against SARS-CoV-2 that 288
met or exceeded antibody levels associated with 70% VE. However, only a small proportion had 289
antibody responses that met or exceeded levels associated with 90% VE. Our findings suggest that 290
persons with a prior COVID-19 would benefit from vaccination to maximize protective antibody 291
concentrations against symptomatic COVID-19. 292
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Notes 293
Acknowledgments. The authors thank Marla Williams, Morgan Herle, Wade Tanico, and Paul Theobald 294
from Labcorp for help received in planning and execution of sample logistics and data acquisition. A 295
special thanks goes to the reference laboratory operators that performed Cov2Quant IgG® and 296
PhenoSense® CoV Neutralizing Antibody assays. We also thank members of the Multistate Assessment 297
of SARS-CoV-2 Seroprevalence (MASS) steering group, including Lyle Peterson, Margaret Honein, 298
Adam MacNeil, Eduardo Azziz-Baumgartner, Francisco Averhoff, Sridhar Basavaraju, Tina Benoit, 299
Carla Black, Kevin Berney, Ryan Weigand, Michele Owen, Ruchi Pancholy, and Lisa Grohskopf. 300
Disclaimer. The findings and conclusions in this report are those of the authors and do not necessarily 301
represent the official position of the Centers for Disease Control and Prevention. 302
Financial support. This work was supported by the United States Centers for Disease Control and 303
Prevention, Atlanta, Georgia. 304
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Figure 1. SARS-CoV-2 50% neutralizing antibody titer (NT50) concentrations and anti-SARS-CoV-2 358
receptor binding domain (RBD) IgG concentrations for the overall convenience sample of 3,067 serum 359
specimens collected during July 27,2020-August 27, 2020 with detectable anti-SARS-CoV-2 antibodies 360
on a qualitative assay, and according to sex and age category. A) SARS-CoV-2 NT50 concentrations in 361
international units per mL (IU/mL) and B) Anti-SARS-CoV-2 RBD IgG concentrations in binding 362
antibody units per mL (BAU/mL). Horizontal bars represent geometric means, vertical error bars 363
represent 95% confidence intervals, and dashed horizontal lines represent assay cut-off values for 364
seropositivity. P-values from t-tests (sex) and post-hoc Tukey tests (age class) are shown for each sex 365
and age class comparison. Bolded p-values denote statistical significance (p<0.05). Dotted horizontal 366
lines represent antibody concentrations associated with 70% and 90% ChAdOx1 [11] and mRNA-1273 367
[12] vaccine efficacy (VE). The percentage of sera with antibody concentrations that meet or exceed the 368
concentrations represented by each of the horizontal dotted lines are shown below the charts. 369
Figure 2. Correlations between SARS-CoV-2 50% neutralizing antibody titer (NT50) concentrations in 370
international units per mL (IU/mL) and anti-SARS-CoV-2 receptor binding domain (RBD) IgG 371
concentrations in binding antibody units per mL (BAU/mL) for the convenience sample of 3,067 serum 372
specimens collected during July 27,2020-August 27, 2020 with detectable anti-SARS-CoV-2 antibodies 373
on a qualitative assay. A) Overall, B) by sex, and C) by age class. 374
Figure 3. SARS-CoV-2 50% neutralizing antibody titer (NT50) concentrations in international units per 375
mL (IU/mL) and anti-SARS-CoV-2 receptor binding domain (RBD) IgG concentrations in binding 376
antibody units per mL (BAU/mL) for the overall convenience sample of 3,067 serum specimens 377
collected during July 27,2020-August 27, 2020 with detectable anti-SARS-CoV-2 antibodies on a 378
qualitative assay compared to 28 days post COVID-19 vaccination concentrations in ChAdOx1 [11] and 379
mRNA-1273 [12] VE study participants classified as not having COVID-19 during the follow-up period. 380
A) Median and interquartile range SARS-CoV-2 NT50 concentrations for the overall convenience 381
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20
sample compared to concentrations in VE study participants who received the ChAdOx1 vaccine and 382
were classified as not having COVID-19 during the follow-up period, B) Geometric mean and 95% 383
confidence interval SARS-CoV-2 NT50 concentrations for the overall convenience sample compared to 384
concentrations in VE study participants who received the mRNA-1273 vaccine and were classified as 385
not having COVID-19 during the follow-up period, C) Median and interquartile range anti-SARS-CoV-386
2 RBD IgG concentrations for the overall convenience sample compared to concentrations in VE study 387
participants who received the ChAdOx1 vaccine and were classified as not having COVID-19 during the 388
follow-up period, and D) Geometric mean and 95% CI anti-SARS-CoV-2 RBD IgG concentrations for 389
the overall convenience sample compared to concentrations in VE study participants who received the 390
mRNA-1273 vaccine and were classified as not having COVID-19 during the follow-up period. 391
Horizontal bars represent medians or geometric means, and vertical error bars represent the interquartile 392
range surrounding the median or 95% confidence intervals surrounding the geometric mean. 393
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Overall Male Female <18 18—49 50—64 ³65
1
10
100
1000
10000
100000NT50 (IU/mL)
A
0.8914
0.2213
0.2456
0.1088 0.002<0.00010.0108
88.3%
88.3%
27.1%
32.9%
87.1%
87.0%
31.1%
35.9%
74.5%
74.5%
24.1%
30.6%
95.3%
95.3%
20.4%
26.6%
79.3%
79.3%
21.9%
26.7%
89.1%
89.1%
37.1%
80.5%
80.5%
32.1%
38.2%
70% ChAdOx1 VE
70% mRNA-1273 VE
90% mRNA-1273 VE
90% ChAdOx1 VE43.7%
70% ChAdOx1 and mRNA-1273 VE
90% ChAdOx1 VE
90% mRNA-1273 VE
Cut-off for seropositivity
B
Overall Male Female <18 18—49 50—64 ³65
10
100
1000
10000Anti-RBD IgG (BAU/mL) 70% mRNA-1273 VE
90% ChAdOx1 VE
90% mRNA-1273 VE
70% ChAdOx1 VE
Cut-off for seropositivity
0.3978
0.0147
0.3382
0.1447 0.0147<0.0001<0.0001
63.1%
86.4%
13.6%
1.3%
64.9%
86.0%
16.3%
1.6%
58.5%
72.9%
11.4%
1.0%
71.9%
93.7%
10.0%
0.3%
51.6%
74.7%
8.6%
0.8%
67.4%
88.0%
19.0%
63.2%
78.3%
20.3%
3.0%
70% ChAdOx1 VE
70% mRNA-1273 VE
90% mRNA-1273 VE
90% ChAdOx1 VE1.8%
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preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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1 10 100 1000 10000 100000
10
100
1000
10000
NT50 (IU/mL)
Anti-RBD IgG (BAU/mL)
Overall (r=0.76, p<0.0001)
A
1 10 100 1000 10000 100000
10
100
1000
10000
NT50 (IU/mL)
Anti-RBD IgG (BAU/mL)
Male (r=0.76, p<0.0001)
Female (r=0.76, p<0.0001)
B
1 10 100 1000 10000 100000
10
100
1000
10000
NT50 (IU/mL)
Anti-RBD IgG (BAU/mL)
<18 (r=0.67, p<0.0001)
18—49 (r=0.69, p<0.0001)
50—64 (r=0.79, p65 (r=0.88, p<0.0001)
C
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preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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Overall ChAdOx1
Vaccine
0.1
1
10
100
1000
10000
100000
NT50 (IU/mL)
A
Overall mRNA-1273
Vaccine
1
10
100
1000
10000Anti-RBD IgG (BAU/mL)
D
Overall mRNA-1273
Vaccine
0.1
1
10
100
1000
10000
100000
NT50 (IU/mL)
B
Overall ChAdOx1
Vaccine
1
10
100
1000
10000Anti-RBD IgG (BAU/mL)
C
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preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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