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Assessment of hybrid population immunity to SARS-CoV-2 following breakthrough infections of distinct SARS-CoV-2 variants by the detection of antibodies to nucleoprotein

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Immunity induced by vaccination and infection, referred to as hybrid immunity, provides better protection against SARS-CoV-2 infections compared to immunity induced by vaccinations alone. To assess the development of hybrid immunity we investigated the induction of Nucleoprotein-specific antibodies in PCR-confirmed infections by Delta or Omicron in vaccinated individuals (n = 520). Eighty-two percent of the participants with a breakthrough infection reached N-seropositivity. N-seropositivity was accompanied by Spike S1 antibody boosting, and independent of vaccination status or virus variant. Following the infection relatively more antibodies to the infecting virus variant were detected. In conclusion, these data show that hybrid immunity through breakthrough infections is hallmarked by Nucleoprotein antibodies and broadening of the Spike antibody repertoire. Exposure to future SARS-CoV-2 variants may therefore continue to maintain and broaden vaccine-induced population immunity.
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Assessment of hybrid population
immunity to SARS‑CoV‑2
following breakthrough infections
of distinct SARS‑CoV‑2 variants
by the detection of antibodies
to nucleoprotein
Gerco den Hartog
1,2,5, Stijn P. Andeweg
3,5, Christina E. Hoeve
3, Gaby Smits
1,
Bettie Voordouw
4, Dirk Eggink
4, Mirjam J. Knol
3 & Robert S. van Binnendijk
1*
Immunity induced by vaccination and infection, referred to as hybrid immunity, provides better
protection against SARS‑CoV‑2 infections compared to immunity induced by vaccinations alone. To
assess the development of hybrid immunity we investigated the induction of Nucleoprotein‑specic
antibodies in PCR‑conrmed infections by Delta or Omicron in vaccinated individuals (n = 520).
Eighty‑two percent of the participants with a breakthrough infection reached N‑seropositivity.
N‑seropositivity was accompanied by Spike S1 antibody boosting, and independent of vaccination
status or virus variant. Following the infection relatively more antibodies to the infecting virus variant
were detected. In conclusion, these data show that hybrid immunity through breakthrough infections
is hallmarked by Nucleoprotein antibodies and broadening of the Spike antibody repertoire. Exposure
to future SARS‑CoV‑2 variants may therefore continue to maintain and broaden vaccine‑induced
population immunity.
A large part of the global population has acquired immunity through vaccination, infection or a combination
of both i.e. hybrid immunity against SARS-CoV-2 in late 20221. Especially Omicron variants have shown their
potential to escape vaccine-induced humoral immunity, resulting in many vaccine breakthrough infections and
the development of hybrid immunity27. Previous infection with Omicron protects against subsequent infections
by other Omicron variants, and this protection may be better than hybrid immunity induced by SARS-CoV-2
variants preceding Omicron8,9. How Omicron-induced hybrid immunity protects against future variants remains
to be seen.
Knowledge about immunological protection induced by vaccines, previous infection, or hybrid immunity is of
great importance for COVID-19 intervention policies and further understanding of immunological mechanisms
protecting against infectious diseases. Besides that SARS-CoV-2 infection is expected to broaden the immune
response as it taps into new antigenic epitopes presented to the immune system, another mechanism explaining
increased protection by hybrid immunity is believed to be enhanced mucosal immunity resulting in better local
protection against the virus10.
Assessment of the development of hybrid immunity in the population requires a clear identication of
a passed SARS-CoV-2 infection. Such information has oen been obtained from testing registries based on
OPEN
1Centre for Immunology of Infectious Diseases and Vaccines, Centre for Infectious Disease Control, National
Institute for Public Health and the Environment, Bilthoven, The Netherlands. 2Laboratory of Medical Immunology,
Radboud Institute for Molecular Life Sciences, Radboudumc, Nijmegen, The Netherlands. 3Centre for Infectious
Diseases, Epidemiology and Surveillance, Centre for Infectious Disease Control, National Institute for Public
Health and the Environment, Bilthoven, The Netherlands. 4Centre for Infectious Diseases Research, Diagnostics
and Laboratory Surveillance, Centre for Infectious Disease Control, National Institute for Public Health and the
Environment, Bilthoven, The Netherlands. 5These authors contributed equally to the study: Gerco den Hartog and
Stijn P. Andeweg. *email: rob.van.binnendijk@rivm.nl
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diagnostic SARS-CoV-2 RT-PCR and rapid antigen testing. However, testing behavior and policy varies over
time and since April 2022 community testing has been scaled down. Serological testing for virus-induced anti-
bodies could be an alternative to detect SARS-CoV-2 infections and can usually be detected many months aer
virus exposure.
Immunogenic SARS-CoV-2 proteins that are absent in most vaccines, such as Nucleoprotein (N), can be
regarded as a potential tool to identify the development of hybrid immunity through breakthrough infections
in a vaccinated population11. Both the development of Spike-antibody mediated hybrid immunity and induction
of detectable N-specic antibodies require immune activation through replication of SARS-CoV-2 aer break-
through infection. Sucient immune activation aer breakthrough infection may be limited in a proportion of
the vaccinated population, due to e.g. presence of vaccine-induced S-specic antibodies that may reduce viral
replication, thereby also reducing de novo induced N-specic antibodies following breakthrough infection12,13.
Identication of breakthrough infections by antibodies to non-vaccine viral antigens would allow for research
further elucidating of characteristics of the development of hybrid immunity and also shed light on risk factors for
breakthrough infection, e.g. pre-infection antibody levels, virus variants, comorbidities or vaccination status14,15.
Next to the induction of N-specic responses, breakthrough infections resulting in immune activation will
most likely also boost antibodies towards the spike protein, a mechanism probably casually related to the devel-
opment of hybrid immunity. Quantifying the additional immune boosting of vaccine targets by an infection
in primary and booster vaccination recipients with and without previous infection provides insight into how
breakthrough infections support better immunity. Epidemiological studies show a benet of hybrid immunity
over vaccine- or infection-induced immunity9,16,17. ese ndings are substantiated by immunological data
showing high levels of antibodies and neutralization in vaccinated persons with a history of infection prior to
vaccination15. e level and duration of boosting by infections in vaccinated persons is largely unknown, as well
as the factors inuencing the response.
A major factor for breakthrough infections involves the genetic dri of virus strains, resulting in their poten-
tial to escape humoral immunity18. Protection against infection from various existing and novel SARS-CoV-2
strains is likely dependent on the ability to acquire B cells recognizing new epitopes. Increased antibody reactivity
to a new variant causing relative to antibody reactivity to previous variants could demonstrate the acquisition
of such B-cells recognizing new epitopes. Hybrid immunity therefore, may not only boost pre-existing antibody
responses but also gain new reactivity to new variants.
Here we assess serological immune response aer SARS-CoV-2 breakthrough infection in persons with
primary and booster vaccination with and without previous infection. First, we determine the sensitivity of
N-antibodies as a tool to identify breakthrough infection. Subsequently, we investigate the boosting of Spike
S1-specic responses aer breakthrough infection and the inuence of time since vaccination and N-serocon-
version on the S1-specic antibody levels. e study was performed during the transition period of the Delta
variant to Omicron9, which provided a unique basis to relate immune activation to the virus strain involved.
erefore, lastly, we investigate the change in the response towards the variant of infection as an indication for
the development of broader hybrid immunity.
Results
Study population
520 vaccinated persons from the prospective VASCO study with a SARS-CoV-2 infection between October 1st
2021 and February 13th 2022 were enrolled in the study (Table1). e median age was 55 (IQR 43–64) years and
67% were female. Among the 444 participants of the rst round of inclusion in the transitioning period from the
Delta to the Omicron variant, 165 (37.2%) had a swab sample which could be retrieved and typed. In addition, 76
cases with an infection between October 1st 2021 and November 15th 2021 were included in the second round
of inclusions, categorized as Delta infections based on calendar time. From the rst inclusion round 35 (21.2%)
were typed by variant-PCR and 130 (78.8%) by whole genome sequencing. Of the breakthrough infections 135
(26.0%) were Delta, 99 (60.0%) were Omicron BA.1 and 7 (4.2%) were BA.2 infections. Age and sex distributions
were largely similar between the Delta and Omicron infected individuals. However, dierent distributions of
vaccination status were observed among the Delta and Omicron infected individuals, with individuals experienc-
ing Omicron breakthrough infection more frequently having received a booster vaccination (Table1). In total,
26 participants (5.0%) were partially vaccinated and 494 (95.0%) completed their primary schedule, of which
236 (47.8%) participants also received one (n = 230, 97.5%) or more (n = 6, 2.5%) booster doses. Samples prior
to infection were available with a collection time of 60days (median, with minimal 3 and maximal 233days)
before the reported positive SARS-CoV-2 test date. Post-infection measurements were taken 22days (median, at
minimal 5 and maximal 75days) aer the reported positive SARS-CoV-2 test date. Of the included individuals,
32 out of 479 (7.5%) had evidence of a previous infection.
Serological response post‑infection
Participants were enrolled in the study following reporting an infection provided the individual was vaccinated
at least once. Of the enrolled participants, blood samples available prior to the infection were analyzed for
antibodies to Spike S1, RBD and Nucleoprotein. Pre-infection samples were collected irrespective of the date of
vaccination so between dierent samples non or several vaccination doses could have been administered (le
panels Fig.1). Aer vaccination an antibody response is observed to spike S1 and its subdomain RBD (Fig.1A,
D). As expected, N-specic antibody responses were not induced by vaccination (Fig.1G). Of the previously
infected participants 26 (81.2%) had N-specic IgG antibodies in their most recent pre-infection serological
measurement and 6 (18.8%) participants reported a previous infection without showing N-specic antibodies in
the pre-infection serum (Fig.1G). Aer conrmed breakthrough infection, parental N-, S1- and RBD-specic
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antibody concentrations increased with time since positive test and saturated aer 4–5weeks (Fig.1B and C, E
and F, H and I). In previously uninfected individuals the geometric mean antibody concentration (GMC) for N
reached 35.7 BAU/mL at 4weeks aer infection (Fig.S1). In persons with a history of infection prior to break-
through infection the concentration of N-specic antibodies at 4weeks was 246.7 BAU/mL (Fig.S1). Following
breakthrough infection the levels of S1 were boosted reaching a GMC of 10,829.9 BAU/mL aer 5weeks, and
in the second week aer infection concentrations of 4000–6000 BAU/mL were already observed (Figs.1B, S1).
Individuals with a positive N-specic IgG pre-measurement had an equal geometric mean S1 IgG concentration
aer infection compared with individuals without previous infection (Figs.1B, S1).
N seropositivity following breakthrough infection
In individuals without a history of previous infection, the probability of N-seropositivity was 54% (95% CI 46–62)
and 82% (95% CI 75–86) at two weeks and four weeks aer positive test, respectively (Fig.2A, le panel). In
persons with a previous infection 30 out of 32 (94%) were N-seropositive aer the current infection (Fig.2A,
right panel. In these persons N seropositivity was mostly already achieved in the second week aer breakthrough
infection (8 out of 9). Persons reporting symptoms did not show a signicant higher proportion of N positivity
Table 1. Characteristics of study participants (n = 520).
Delta Omicron Unknown
N (%) 135 (26.0) 106 (20.4) 279 (53.7)
Age group
18–29 3 (2.2) 9 (8.5) 16 ( 5.7)
30–44 22 (16.3) 23 (21.7) 70 (25.1)
45–59 34 (25.2) 34 (32.1) 89 (31.9)
60–74 71 (52.6) 40 (37.7) 101 (36.2)
75 + 5 (3.7) 0 ( 0.0) 2 ( 0.7)
Unknown 0 (0.0) 0 ( 0.0) 1 ( 0.4)
Sex
Female 83 (61.5) 65 (61.3) 201 (72.0)
Male 52 (38.5) 41 (38.7) 78 (28.0)
COVID-19 symptom status
Asymptomatic 19 (14.1) 21 (19.8) 74 (26.5)
Mild symptomatic 35 (25.9) 27 (25.5) 73 (26.2)
Symptomatic 78 (57.8) 56 (52.8) 129 (46.2)
Unknown 3 (2.2) 2 ( 1.9) 3 (1.1)
Number of pre infection samples
0 7 (5.2) 10 ( 9.4) 31 (11.1)
1 106 (78.5) 82 (77.4) 182 (65.2)
2 13 (9.6) 10 (9.4) 55 (19.7)
3 9 (6.7) 4 (3.8) 11 ( 3.9)
Interval between pre infection sample and SARS-CoV-2 positive test in days mean (SD) 109.93 (48.60) 62.44 (39.28) 77.02 (52.99)
Interval between post infection sample and SARS-CoV-2 positive test in days mean (SD) 26.22 (12.46) 24.90 (9.73) 20.83 (8.64)
Evidence of previous infection
Yes 6 (4.2) 2 (1.9) 24 ( 8.6)
No 125 (92.6) 95 (89.6) 227 (81.4)
Unknown 4 (3.0) 9 (8.5) 28 (10.0)
Vaccination status (at post infection measurement)
Partially 15 (11.1) 3 ( 2.8) 8 ( 2.9)
Full 117 (86.7) 29 (27.4) 112 (40.1)
Booster 3 (2.2) 74 (69.8) 159 (57.0)
Vaccine type primary series (at post infection measurement)
AstraZeneca (Vaxzevria) 39 (32.5) 33 (32.0) 75 (27.8)
BioNTech/ Pzer (Comirnaty) 71 (59.2) 39 (37.9) 115 (42.6)
Janssen 5 (4.2) 11 (10.7) 27 (10.0)
Moderna (Spikevax) 5 (4.2) 20 (19.4) 53 (19.6)
Vaccine type booster series (at post infection measurement)
BioNTech/ Pzer (Comirnaty) 0 (0.0) 36 (48.6) 87 (54.7)
Moderna (Spikevax) 3 (100.0) 38 (51.4) 65 (40.9)
Unknown 0 (0.0) 0 ( 0.0) 7 ( 4.4)
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compared to persons considered mild symptomatic or asymptomatic (p = 0.12, Fig.2B). Neither did seropositivity
dier between Delta and Omicron infections (p = 0.3) nor vaccination history (vaccination status: partially, full
and booster, p = 0.2, last vaccine brand used, p = 0.9, time since vaccination, p = 0.09).
S1 antibody levels as a function of time since infection and vaccination
We found a decrease in Spike S1 levels with increasing time since vaccination. Upon breakthrough infection,
increasing time between the last vaccination and breakthrough infection was associated with a faster increase
and higher levels of Spike S1 antibodies (p < 0.001, Fig.3). Individuals with measurable N-specic antibodies
post-breakthrough infection showed higher levels of antibodies to Spike S1 (p < 0.001, Fig.3) compared to indi-
viduals who failed to seroconvert for N. Similar results were found for antibodies to RBD compared to Spike S1
(Fig.S2). As expected, the N-specic antibody response develops independent from vaccination (p = 0.22) and is
only aected by time since infection (p < 0.001, Fig.1H). Individuals with N seropositivity prior to breakthrough
infection had lower levels of Spike S1 antibodies aer infection (Fig.S1B, p < 0.001).
e level of N and S1-specic IgG antibodies and the duration to reach peak levels was also independent of
the virus variant (p = 0.88 and p = 0.10, respectively).
Figure1. Antibody levels following vaccination and breakthrough infection. (A, D, G) pre-infection antibody
concentrations by time since rst vaccination for N-, S1, and RBD-specic IgG, respectively (n = 598). Colors
indicate the vaccination status at the time of blood collection. Measurements from the same individual are
connected (gray line). (B, E, H) Post-breakthrough infection antibody concentrations by time since positive test
for N-, S1-, and RBD-specic IgG, respectively (n = 520). Circle colors indicate the history of previous infection
(see methods) and circles are lled by pre-infection N, S1, or RBD concentration. Absent pre-infection sample
is indicated in grey. Black line shows the estimated mean serological response in not previously infected. Shaded
areas represent 95% condence envelopes. Red horizontal line indicates the seropositivity threshold for N (14.3
BAU/mL) and S1 (10.1 BAU/mL). (C, F, I) Histograms of the pre-infection and post-infection concentrations
for N-, S1-, and RBD-specic IgG, respectively.
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Response towards the SARS‑CoV‑2 variant of infection
To investigate whether novel type-specic antibodies were induced by Omicron infections we compared the ratio
of antibodies to Delta and Omicron BA.1 RBD for persons with a Delta and Omicron breakthrough infection.
Ratios were used instead of comparing antibody levels, as both RBD variants will bind a signicant propor-
tion of cross-reactive antibodies aer breakthrough infection, which cannot be directly compared, as both are
scaled according to their own allocated arbitrary unitage. If no variant-specic antibodies are induced following
breakthrough infection the ratio between Omicron BA.1 and Delta antibodies should be the same between the
groups infected with the Delta and the Omicron variant, with dierences in the ratios indicating variant-specic
antibodies being induced. Compared with Delta breakthrough infections, Omicron BA.1 breakthrough infections
resulted in a higher ratio of Omicron BA.1 over Delta antibodies, indicating the generation of Omicron-specic
antibodies (Fig.4). A similar pattern in ratio towards variant of infection is observed for RBD Omicron BA.1
over parental and RBD parental over Delta (Fig.S3A,B). However, S1 Omicron BA.1 over WT did not dier by
variant (Fig.S3C).
Discussion
e aim of this study was to investigate the humoral immune response following infection in vaccinated persons
and how this relates to two dierent SARS-CoV-2 virus variants responsible for the breakthrough infections,
i.e. Delta and Omicron. We show that SARS-CoV-2 breakthrough infections can be identied by N-specic IgG
antibodies and boosting of vaccine-induced immunity by infection, leading to hybrid immunity. We show that
up to 82% of the individuals that experienced their rst infection with SARS-CoV-2 aer vaccination developed
antibodies to N of SARS-CoV-2, regardless of the virus variant and independent from COVID-19 vaccina-
tion. Following breakthrough infection, N-seroconversion was associated with increased S1 antibody levels. N
Figure2. Estimated probability of N-seropositivity by time since positive test. (A) Estimates of the probability
of N-seropositivity as a function of time since positive test and history of previous infection (n = 479). Shaded
areas represent 95% condence intervals/envelopes. (B) Estimates of the probability of N-seropositivity as a
function of time since positive test, history of previous infection and COVID-19 symptom status (n = 474).
Shaded areas represent 95% condence intervals/envelopes.
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seroconversion might therefore be a more reliable proxy for the development of hybrid immunity rather than a
positive PCR or antigen test only conrming breakthrough infection.
To date, very few studies have systematically investigated N-specic seroconversion as a useful marker for
breakthrough infection, let alone to relate this to the induction of hybrid immunity19. In a recent population
serosurvey among individuals without a history of COVID-19 vaccination, 79% of the participants that had
reported a PCR-conrmed infection and clinical symptoms were N seropositive between 2 and 6weeks aer
infection. For PCR-positive individuals that did not report symptoms, this was 67%11. Despite vaccine-induced
immunity, the sensitivity to N in the current study was found to be similar to what we and others have found in
unvaccinated populations11,20. Our estimates of N seropositivity aer breakthrough infection were a little lower
compared to a recent study by Mizoue etal.19 that reported N seropositivity ranging from 78% up to 97% for
those infected 4–5months aer vaccination, but not as low as 26% (95% CI 11–49) as reported by Allen etal.,
the latter of which concerned a small number of investigated persons and with no clear documented timeline of
infection13. e dierences between these two studies and ours could be related to the timing between infection
and antibody measurement. e sensitivity of the detection of breakthrough infections by N-specic antibodies
is dependent on a minimum time since infection estimated to be about 3weeks. On the other hand, waning of
N-specic antibodies in individuals has been noticed to occur in infected (nonvaccinated) persons, resulting in
partial loss in N seropositivity within 5–6 months11. Whether a similar waning occurs aer breakthrough infec-
tion needs to be determined, whilst such an assessment may be hampered by new and consecutive breakthrough
infection events. Still, our data support the identication of vaccine-breakthrough infection by the detection
of N-specic antibodies applicable within a timeframe of at least 6months aer breakthrough infection. at
Nucleoprotein antibodies are induced at similar rates for Delta and Omicron SARS-CoV-2 is likely because the
Nucleoprotein is conserved and doesn’t show the many mutations observed for the Spike protein. In addition, S1
antibodies are reported to persist longer than N antibodies, resulting in extended duration of hybrid immunity.
It is interesting to note that a small subset of participants with RT-PCR/rapid antigen-conrmed breakthrough
infection (6.7%) had most likely experienced earlier infection prior to this study. is group of participants
was characterized by a rapid onset of N antibodies, almost complete (93.8%) N-seropositivity following the
Figure3. Estimates of the mean S1 antibody levels as a function of time since infection and vaccination in not
previously infected (n = 447). Panels show the dierent time since vaccination (30days intervals) and x-axis
the time since breakthrough infection. Orange and green indicate the persons with and without N-specic
antibodies following breakthrough infection. Shaded areas represent 95% condence intervals/envelopes. RBD
estimates are shown in Fig.S2.
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breakthrough infection and also reaching much higher levels, indicative for a secondary response to the N
protein.
In vitro assays have shown largely reduced neutralization of Omicron variants by pre-Omicron convalescent
sera and by sera of individuals vaccinated by monovalent vaccines3,4,6,18. In addition, epidemiological studies
have shown immune escape by the Delta and Omicron variants2,21. Apart from immune escape, a few reports
suggest that the vaccines used against SARS-CoV-2 provide a limited degree of mucosal immunity22,23. Limited
mucosal immunity aer primary and booster vaccination may allow a more replication of the virus aer expo-
sure, leading to immune activation and the generation of antibodies to the internal Nucleoprotein of the virus.
Following such initial replication, the pre-existing immunity by B cell-derived antibodies or memory T cells may
also enhance the activation of the immune system resulting in not only boosting of Spike-specic antibodies
(hybrid immunity), but also de novo antibodies to other viral targets, while in parallel also improving mucosal
immunity because of a rst contact with infectious virus at the mucosal site23,24. If that indeed happens, hybrid
immunity is not only characterized by increased antibody levels and enhanced mucosal immunity, but also by
broadened immune responses25,26. at this broadening of immunity may occur is indicated by our nding of
relatively higher Omicron-specic RBD antibodies in individuals experiencing Omicron breakthrough infec-
tions compared to persons with a Delta breakthrough infection. is broadening may continue to occur with
subsequent exposures to other variants of the virus. To better assess the development of de novo B cell reactivity,
future studies with longer follow-up periods and type-specic virus neutralization assays are needed.
ere are some limitations to our study. First, infections not directly adjacent to a retrospective antibody
measurement to determine the infection, may be missed, e.g. due to antibody waning as described for N11.
erefore, this leaves the possibility for an earlier infection to have occurred unnoticed. Secondly, variant of
infection changes with calendar time like vaccinations were administered at given time periods resulting in a
correlation between protection by vaccination and the virus variant causing the breakthrough infection. Also,
previous infection diers between the Delta and Omicron variants. is leads to dierences in vaccination and
previous infection status between Delta and Omicron infections, where Omicron cases more oen had received
their COVID-19 booster vaccination.
In conclusion, protection against future variants by antibodies as determined by antibody concentrations,
overlap in antibody-binding epitopes and anity to the targets. Here we showed that breakthrough infection
results in de novo responses to non-vaccine targets, resulting in detectable N-specic IgG antibodies in 82% of
the cases. We propose that the observed association of N seroconversion with stronger boosting of S1 antibodies
makes the N response a better predictor for the development of hybrid immunity than a positive PCR test, since
positive tests in some cases are accompanied with a weak humoral immune response. Although breakthrough
infections by distinct virus variants are equally detected by the induction of N antibodies, the breakthrough infec-
tions also result in variant-specic antibody levels during the development of hybrid immunity. e generation
Figure4. Ratio of the RBD Omicron BA.1 over RBD Delta serological response for Delta and Omicron BA.1
infections in not previously infected individuals. Dierent subplots indicate time since infection in days. See
Fig.S3 for additional antigenic target ratio results. P-value is indicated with ***for < 0.001, **for < 0.01, *for < 0.05
and not signicant (NS).
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of de novo responses, the boosting of vaccine-target antibody levels, and broadening of humoral immunity by
breakthrough infections likely enhances immunity to current Omicron and future variants.
Materials and methods
Study design and population
e VAccine Study COvid-19 (VASCO) is an ongoing prospective cohort study into eectiveness of COVID-19
vaccination in the Netherlands, in which information is collected through regular questionnaires and ngerpick
samples for serology were taken every six months14. From this study, vaccinated participants with a reported
SARS-CoV-2 infection between December 1st 2021 and February 13th 2022 (circulating Delta or Omicron
BA.1/2 variant infections) were asked to donate an additional ngerpick blood sample in 1–8weeks aer infec-
tion, with outliers up to 11weeks. Aer the rst round of inclusions, the study was extended with vaccinated
individuals with an infection between 1 October up to 15 November 2021 (assumed to be Delta infections, as this
was the only variant circulating in the Netherlands at that time27) and from which a serum sample was available
between 3 and 7weeks aer infection, as Delta infections with a longer interval between infection and blood
sample appeared underrepresented in the primary selection.
Data on symptoms were collected directly aer a positive test and one month aer this positive test. Partici-
pants reporting fever, dyspnea, muscle ache, extreme tiredness, general malaise, painful respiration, joint pain,
diarrhea, or stomach ache were regarded as COVID-19 symptomatic as these symptoms relate to a systemic
infection. Participants with a runny nose, sore throat, anosmia/ageusia, headache, coughing or without symptoms
were considered mild symptomatic or asymptomatic as an indication of non-systemic infection.
e VASCO study is conducted in accordance with all relevant guidelines and regulations. e study protocol
was approved by the independent Medical Ethics Committee of the Stichting Beoordeling Ethiek Biomedisch
Onderzoek (BEBO), Assen, the Netherlands (NL76815.056.21). All participants provided written informed
consent.
Variant detection
Positive national community testing SARS-CoV-2 specimens from participants were collected and variant
detection was performed by whole genome sequencing and variant-PCR (S gene target failure), as previously
described9,21. Sequences obtained in this study are available on GISAID.org (accession IDs provided in Tabel S1).
Antibody measurements
Nucleoprotein (N)-, Spike S1 (S1)-, and Receptor binding domain (RBD)-specic IgG was measured aer break-
through infection, referred to as post-infection measurement, and in all samples available prior to the break-
through infection, referred to as pre-infection measurement. Antibodies to antigenic targets N, S1 and RBD of
the parental strain, RBD of the Delta variant and RBD and S1 of the Omicron BA.1 variant were detected using
a uorescent bead-based assay, as described previously18,28,29. Briey, samples were diluted (1:400 and 1:10,000)
in SM01 (Surmodics, USA) supplemented with 2% FCS and added to the bead mixture. Sample bead mixtures
were incubated while shaking in the dark at room temperature. Following washing (3 × PBS) PE-conjugated goat
anti human IgG (1:400) was added and incubated for 30min as above. Aer washing, samples were acquired
on a FlexMap 3D (Luminex) and interpolated using pooled sera calibrated against the international reference
(NIBSC, 20/136) and expressed in international units BAU/mL.
e threshold for seropositivity to N (14.3 BAU/mL, reference11) and Spike S1 (10.1 BAU/mL, reference29)
were determined by receiver operator characteristics analysis and mixed modeling using pre-pandemic negative
control samples and a heterogeneous mix of samples of PCR-conrmed cases with varying severity (asympto-
matic individuals, moderately-ill cases and hospitalized patients)28,29.
Vaccination status and evidence of previous infection
Vaccination status was determined at the date of blood collection. If the self-reported date of blood collection
was missing, the received date of the blood sample minus two days (median dierence between date of blood
collection and date received in non-missing) was used. Partial primary vaccination was dened as having received
one dose of Comirnaty, Spikevax or Vaxzevria before date of blood collection, or two doses of Comirnaty, Spik-
evax or Vaxzevria less than 14days before this date. Full vaccination is dened as having received two doses of
Comirnaty, Spikevax or Vaxzevria at least 14days before date of blood collection, one dose of Jcovden at least
28days before this date, or a booster dose less than 7days before this date. Booster vaccination is dened as
one or more doses aer a complete primary vaccination schedule, where the rst booster dose is at least 7days
before date of blood collection.
Evidence of an infection before the studied breakthrough infection was based on self-report of a positive
SARS-CoV-2 test or the presence of N-specic antibodies prior to breakthrough infection.
Statistical analyses
Log-transformed N-, S1- and RBD-specic responses (BAU/mL values) were modelled using a Gaussian general-
ized additive model, with the R package mgcv30. We modeled the N-, S1- and RBD-specic serological response
in individuals without a previous infection as a function of time since positive test in days (in Fig.1). In addition,
for the RBD and S1 responses we expanded this model with an interaction term for time since vaccination and
N-seropositivity of the post-infection sample (in Fig.3). Time since positive test and time since vaccination were
included as a tensor product of penalized cubic splines (15 knots), using second order penalties.
Probability of N-seropositivity is modelled using a logistic regression in a generalized additive model as a
function of time since positive test (penalized cubic spline, 15 knots, in Fig.2A). We expand this model separately
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9
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for categorical variables COVID-19 symptom status (in Fig.2B, absent/present), variant of infection (Delta/
Omicron), vaccination status (partial, full, or booster vaccination), last used vaccine type (Comirnaty, Vaxzevria,
Spikevax, or Jcovden), and time since vaccination. Participants only reporting the answer option ‘other symptoms
were excluded from the analysis into the eect of symptoms. e output of the logistic regression (log-odds) is
transformed into a probability of N seropositivity using the inverse logit function,
log
(
p
n+
1p
n+
)
.
We tested dierences in ratios in Delta and Omicron-specic IgG levels between individuals with an Omicron
or Delta infection stratied by time since infection with a Wilcoxon test.
Data availability
All antibody data obtained are presented in the manuscript. SARS-CoV-2 variant sequencing data acquired for
this study (accession numbers provided in TableS1) are available on https:// gisaid. org/.
Received: 8 June 2023; Accepted: 23 October 2023
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Acknowledgements
We thank the laboratory team of the National Institute for Public Health and the Environment (RIVM), Ae Vog-
elzang, Annemarie van den Brandt, Bas van der Veer, Jeroen Cremer, Jil Kocken, Jordy de Bakker, Kim Freriks,
Lisa Wijsman, Lynn Aarts, Ryanne Jaarsma, Sanne Bos and Sharon van den Brink. We thank Teun Guichelaar
and Joanna Kaczorowska for critically reviewing the manuscript.
Author contributions
Conceptualization: G.d.H., R.S.v.B. Methodology: G.d.H., R.S.v.B., S.P.A., M.J.K. Investigation: G.d.H., S.P.A.,
G.S., D.E., R.v.B., M.J.K. Visualization: S.P.A. Supervision: R.S.v.B., M.J.K. Writing—original dra: G.d.H., S.P.A.
Writing—review & editing: R.v.B., G.S., C.E.H., B.V., M.J.K.
Funding
e study was funded by the Dutch Ministry of Health, Welfare and Sports.
Competing interests
e authors declare no competing interests.
Additional information
Supplementary Information e online version contains supplementary material available at https:// doi. org/
10. 1038/ s41598- 023- 45718-8.
Correspondence and requests for materials should be addressed to R.S.B.
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... Spike S1 antibodies are therefore less suitable to detect SARS-CoV-2 infections in a highly vaccinated population, leaving antibodies against the Nucleoprotein (N), one of the structural proteins of SARS-CoV-2, a more specific marker to identify (re)infection [5]. While a relative increase in antibodies can be used as a marker for reinfection [6][7][8], it is currently unknown how long N-antibodies persist after infection and which increase in N-antibodies can reliably detect reinfection. ...
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... Anti-N generally has a somewhat lower sensitivity than anti-S1 and is known to wane quicker [19,33] which might have caused some underestimation of breakthrough infections. However, we did not observe a significant reduction in sensitivity of anti-N in vaccinees fortunately [34], which has been reported by some [35], and due to our repeated sampling with short intervals we still expect high case ascertainment. Moreover, in-depth questionnaire data allowed investigation into (sub)groups. ...
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Purpose VAccine Study COVID-19 (VASCO) is a cohort study with a 5-year follow-up that was initiated when COVID-19 vaccination was introduced in the Netherlands. The primary objective is to estimate real-world vaccine effectiveness (VE) of COVID-19 vaccines against SARS-CoV-2 infection in the Netherlands, overall and in four subpopulations defined by age and medical risk. Participants The cohort consists of 45 547 community-dwelling participants aged 18–85 years who were included irrespective of their COVID-19 vaccination status or intention to get vaccinated. A medical risk condition is present in 4289 (19.8%) of 21 679 individuals aged 18–59 years, and in 9135 (38.3%) of 23 821 individuals aged 60–85 years. After 1 year of follow-up, 5502 participants had dropped out of the study. At inclusion and several times after inclusion, participants are asked to take a self-collected fingerprick blood sample in which nucleoprotein and spike protein receptor binding domain-specific antibody concentrations are assessed. Participants are also asked to complete monthly digital questionnaires in the first year, and 3 monthly in years 2–5, including questions on sociodemographic factors, health status, COVID-19 vaccination, SARS-CoV-2-related symptoms and testing results, and behavioural responses to COVID-19 measures. Findings to date VASCO data have been used to describe VE against SARS-CoV-2 infection of primary vaccination, first and second booster and bivalent boosters, the impact of hybrid immunity on SARS-CoV-2 infection and VE against infectiousness. Furthermore, data were used to describe antibody response following vaccination and breakthrough infections and to investigate the relation between antibody response and reactogenicity. Future plans VASCO will be able to contribute to policy decision-making regarding future COVID-19 vaccination. Furthermore, VASCO provides an infrastructure to conduct further studies and to respond to changes in vaccination campaigns and testing policy, and new virus variants. Trial registration number NL9279.
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Correlates of Protection (CoP) are biomarkers above a defined threshold that can replace clinical outcomes as primary endpoints, predicting vaccine effectiveness to support the approval of new vaccines or follow up studies. In the context of COVID-19 vaccination, CoPs can help address challenges such as demonstrating vaccine effectiveness in special populations, against emerging SARS-CoV-2 variants or determining the durability of vaccine-elicited immunity. While anti-spike IgG titres and viral neutralising capacity have been characterised as CoPs for COVID-19 vaccination, the contribution of other components of the humoral immune response to immediate and long-term protective immunity is less well characterised. This review examines the evidence supporting the use of CoPs in COVID-19 clinical vaccine trials, and how they can be used to define a protective threshold of immunity. It also highlights alternative humoral immune biomarkers, including Fc effector function, mucosal immunity, and the generation of long-lived plasma and memory B cells and discuss how these can be applied to clinical studies and the tools available to study them.
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Background In summer 2022, SARS-CoV-2 Omicron BA.5 became dominant in Europe. In vitro studies have shown a large reduction of antibody neutralisation for this variant.AimWe aimed to investigate differences in protection from previous infection and/or vaccination against infection with Omicron BA.4/5 vs BA.2.Methods We employed a case-only approach including positive PCR tests from community testing between 2 May and 24 July 2022 that were tested for S gene target failure (SGTF), which distinguishes BA.4/5 from BA.2 infection. Previous infections were categorised by variant using whole genome sequencing or SGTF. We estimated by logistic regression the association of SGTF with vaccination and/or previous infection, and of SGTF of the current infection with the variant of the previous infection, adjusting for testing week, age group and sex.ResultsThe percentage of registered previous SARS-CoV-2 infections was higher among 19,836 persons infected with Omicron BA.4/5 than among 7,052 persons infected with BA.2 (31.3% vs 20.0%). Adjusting for testing week, age group and sex, the adjusted odds ratio (aOR) was 1.4 (95% CI: 1.3-1.5). The distribution of vaccination status did not differ for BA.4/5 vs BA.2 infections (aOR = 1.1 for primary and booster vaccination). Among persons with a previous infection, those currently infected with BA4/5 had a shorter interval between infections, and the previous infection was more often caused by BA.1, compared with those currently infected with BA.2 (aOR = 1.9; 95% CI: 1.5-2.6).Conclusion Our results suggest immunity induced by BA.1 is less effective against BA.4/5 infection than against BA.2 infection.
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Background: The global surge in the omicron (B.1.1.529) variant has resulted in many individuals with hybrid immunity (immunity developed through a combination of SARS-CoV-2 infection and vaccination). We aimed to systematically review the magnitude and duration of the protective effectiveness of previous SARS-CoV-2 infection and hybrid immunity against infection and severe disease caused by the omicron variant. Methods: For this systematic review and meta-regression, we searched for cohort, cross-sectional, and case-control studies in MEDLINE, Embase, Web of Science, ClinicalTrials.gov, the Cochrane Central Register of Controlled Trials, the WHO COVID-19 database, and Europe PubMed Central from Jan 1, 2020, to June 1, 2022, using keywords related to SARS-CoV-2, reinfection, protective effectiveness, previous infection, presence of antibodies, and hybrid immunity. The main outcomes were the protective effectiveness against reinfection and against hospital admission or severe disease of hybrid immunity, hybrid immunity relative to previous infection alone, hybrid immunity relative to previous vaccination alone, and hybrid immunity relative to hybrid immunity with fewer vaccine doses. Risk of bias was assessed with the Risk of Bias In Non-Randomized Studies of Interventions Tool. We used log-odds random-effects meta-regression to estimate the magnitude of protection at 1-month intervals. This study was registered with PROSPERO (CRD42022318605). Findings: 11 studies reporting the protective effectiveness of previous SARS-CoV-2 infection and 15 studies reporting the protective effectiveness of hybrid immunity were included. For previous infection, there were 97 estimates (27 with a moderate risk of bias and 70 with a serious risk of bias). The effectiveness of previous infection against hospital admission or severe disease was 74·6% (95% CI 63·1-83·5) at 12 months. The effectiveness of previous infection against reinfection waned to 24·7% (95% CI 16·4-35·5) at 12 months. For hybrid immunity, there were 153 estimates (78 with a moderate risk of bias and 75 with a serious risk of bias). The effectiveness of hybrid immunity against hospital admission or severe disease was 97·4% (95% CI 91·4-99·2) at 12 months with primary series vaccination and 95·3% (81·9-98·9) at 6 months with the first booster vaccination after the most recent infection or vaccination. Against reinfection, the effectiveness of hybrid immunity following primary series vaccination waned to 41·8% (95% CI 31·5-52·8) at 12 months, while the effectiveness of hybrid immunity following first booster vaccination waned to 46·5% (36·0-57·3) at 6 months. Interpretation: All estimates of protection waned within months against reinfection but remained high and sustained for hospital admission or severe disease. Individuals with hybrid immunity had the highest magnitude and durability of protection, and as a result might be able to extend the period before booster vaccinations are needed compared to individuals who have never been infected. Funding: WHO COVID-19 Solidarity Response Fund and the Coalition for Epidemic Preparedness Innovations.
Preprint
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Objectives: To estimate the protective effect of previous infections and vaccinations on SARS-CoV-2 Omicron infection. Design: Prospective cohort study Setting: Community-based cohort, the Netherlands Participants: 43,257 Community-dwelling adults aged 18-85 years contributed 8,291,966 person-days between 10 January 2022 and 1 September 2022. Main outcome measures: SARS-CoV-2 infection, defined as either a reported positive (self-administered) antigen or PCR test, or seroconversion or 4-fold increase in Nucleoprotein-antibodies, based on 6-monthly serum samples. Cox proportional hazard models were used with SARS-CoV-2 infection and any COVID-19 vaccination as time-varying exposures, calendar time as underlying time scale and adjustment for age, sex, medical risk and educational level. Results: In participants with 2, 3 or 4 prior immunizing events (vaccination or previous infection), we found a relative reduction of 71-85% in Omicron infection in weeks 4-10 post-last event with hybrid immunity compared to vaccine-induced immunity. Differences in risk of infection were partly explained by differences in anti-Spike RBD (S) antibody concentration, which showed a similar pattern but with smaller differences between vaccine-induced and hybrid immunity. Compared to the lowest quartile, participants in subsequent quartiles of S-antibody concentrations had 19%, 35% and 71% reduced risk of infection, respectively. Among participants with hybrid immunity, with one previous pre-Omicron infection, there was no relevant difference in risk of Omicron infection by sequence of vaccination(s) and infection). Regardless of the type of previous immunizing events, additional events increased the protection against infection, but not above the level of the first weeks after the previous event. Conclusions: Our results showed that hybrid immunity is more protective against infection with SARS-CoV-2 Omicron than vaccine-induced immunity, up to at least 30 weeks after the last immunizing event. Among those with hybrid immunity, the sequence and number of immunizing events was not found to be of importance, and its protective effect was partly explained by circulating S-antibodies. In our population with a high level of immunity, additional immunizing events reduced risk of infection with Omicron variants only temporarily. Trial registration: Dutch Trial Register (NTR), registration number NL9279 (available via ICTRP Search Portal (who.int))
Preprint
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Background We aimed to systematically review the magnitude and duration of the protective effectiveness of prior infection (PE) and hybrid immunity (HE) against Omicron infection and severe disease. Methods We searched pre-print and peer-reviewed electronic databases for controlled studies from January 1, 2020, to June 1, 2022. Risk of bias (RoB) was assessed using the Risk of Bias In Non-Randomized Studies of Interventions (ROBINS-I)-Tool. We used random-effects meta-regression to estimate the magnitude of protection at 1-month intervals and the average change in protection since the last vaccine dose or infection from 3 months to 6 or 12 months. We compared our estimates of PE and HE to previously published estimates of the magnitude and durability of vaccine effectiveness (VE) against Omicron. Findings Eleven studies of prior infection and 15 studies of hybrid immunity were included. For prior infection, there were 97 estimates (27 at moderate RoB and 70 at serious RoB), with the longest follow up at 15 months. PE against hospitalization or severe disease was 82.5% [71.8-89.7%] at 3 months, and 74.6% [63.1-83.5%] at 12 months. PE against reinfection was 65.2% [52.9-75.9%] at 3 months, and 24.7% [16.4-35.5%] at 12 months. For HE, there were 153 estimates (78 at moderate RoB and 75 at serious RoB), with the longest follow up at 11 months for primary series vaccination and 4 months for first booster vaccination. Against hospitalization or severe disease, HE involving either primary series vaccination or first booster vaccination was consistently >95% for the available follow up. Against reinfection, HE involving primary series vaccination was 69.0% [58.9-77.5%] at 3 months after the most recent infection or vaccination, and 41.8% [31.5-52.8%] at 12 months, while HE involving first booster vaccination was 68.6% [58.8-76.9%] at 3 months, and 46.5% [36.0-57.3%] at 6 months. Against hospitalization or severe disease at 6 months, hybrid immunity with first booster vaccination (effectiveness 95.3% [81.9-98.9%]) or with primary series alone (96.5% [90.2-98.8%]) provided significantly greater protection than prior infection alone (80.1% [70.3-87.2%]), first booster vaccination alone (76.7% [72.5-80.4%]), or primary series alone (64.6% [54.5-73.6%]). Results for protection against reinfection were similar. Interpretation Prior infection and hybrid immunity both provided greater and more sustained protection against Omicron than vaccination alone. All protection estimates waned quickly against infection but remained high for hospitalisation or severe disease. Individuals with hybrid immunity had the highest magnitude and durability of protection against all outcomes, reinforcing the global imperative for vaccination.
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Immune responses at the respiratory mucosal interface are critical to prevent respiratory infections but it is unclear to what extent antigen specific mucosal secretory IgA (SIgA) antibodies are induced by mRNA vaccination in humans. Here we analyze paired serum and saliva samples from patients with and without prior coronavirus disease 2019 (COVID-19) at multiple time points pre and post severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccination. Our results suggest mucosal SIgA responses induced by mRNA vaccination are impacted by pre-existing immunity. Indeed, vaccination induced a minimal mucosal SIgA response in individuals without pre-exposure to SARS-CoV-2 while SIgA induction after vaccination was more efficient in patients with a history of COVID-19. Prior exposure to infectious agents can impact the vaccination induced immune response. Here the authors show prior SARS-CoV-2 infection results in more efficient induction of mucosal SARS-CoV-2 secretory IgA antibody following mRNA vaccination.
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Given the emergence of the SARS-CoV-2 Omicron BA.1 and BA.2 variants and the roll-out of booster COVID-19 vaccination, evidence is needed on protection conferred by primary vaccination, booster vaccination and previous SARS-CoV-2 infection by variant. We employed a test-negative design on S-gene target failure data from community PCR testing in the Netherlands from 22 November 2021 to 31 March 2022 (n = 671,763). Previous infection, primary vaccination or both protected well against Delta infection. Protection against Omicron BA.1 infection was much lower compared to Delta. Protection was similar against Omicron BA.1 compared to BA.2 infection after previous infection, primary and booster vaccination. Higher protection was observed against all variants in individuals with both vaccination and previous infection compared with either one. Protection against all variants decreased over time since last vaccination or infection. We found that primary vaccination with current COVID-19 vaccines and previous SARS-CoV-2 infections offered low protection against Omicron BA.1 and BA.2 infection. Booster vaccination considerably increased protection against Omicron infection, but decreased rapidly after vaccination. The protection of COVID-19 vaccines against emerging variants needs to be monitored. Here, the authors use community testing data from the Netherlands and find that protection against infection by Omicron subvariants BA.1 and 2 is low and that booster vaccines considerably but temporarily increase protection.
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The extent to which severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOC) break through infection- or vaccine-induced immunity is not well understood. We analyzed 28,578 sequenced SARS-CoV-2 samples from individuals with known immune status obtained through national community testing in the Netherlands from March to August 2021. We found evidence of an increased risk of infection by the Beta (B.1.351), Gamma (P.1), or Delta (B.1.617.2) variants compared to the Alpha (B.1.1.7) variant after vaccination. No clear differences were found between vaccines. However, the effect was larger in the first 14-59 days after complete vaccination compared to ≥60 days. In contrast to vaccine-induced immunity, there was no increased risk for re-infection with Beta, Gamma or Delta variants relative to Alpha variant in individuals with infection-induced immunity.
Preprint
We investigate differences in protection from previous infection and/or vaccination against infection with Omicron BA.4/5 or BA.2. We observed a higher percentage of registered previous SARS-CoV-2 infections among 19836 persons infected with Omicron BA.4/5 compared to 7052 persons infected with BA.2 (31.3% vs. 20.0%) between 2 May and 24 July 2022 (adjusted odds ratio (aOR) for testing week, age group and sex: 1.4 (95%CI: 1.3-1.5)). No difference was observed in the distribution of vaccination status between BA.2 and BA.4/5 cases (aOR: 1.1 for primary and booster vaccination). Among reinfections, those newly infected with BA4/5 had a shorter interval between infections and the previous infection was more often caused by BA.1, compared to those newly infected with BA.2 (aOR: 1.9 (1.5-2.6). This suggests immunity induced by BA.1 is less effective against a BA.4/5 infection than against a BA.2 infection.