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1.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.12.21.21267898

ABSTRACT

Background: SARS-CoV-2 variants accumulating immune escape mutations provide a significant risk to vaccine-induced protection. The novel variant of concern Omicron (B.1.1.529) has to date the largest number of amino acid alterations in its Spike protein. Thus, it may efficiently escape recognition by neutralizing antibodies, allowing breakthrough infections in convalescent and vaccinated individuals. Aims: We analysed neutralization activity after vaccination with all mRNA-, vector- or heterologous immunization schemes currently available in Europe at peak response and in a longitudinal follow-up with BNT162b2 vaccinees to define immune escape potential of the Omicron VoC. Methods: We tested sera by in vitro neutralization assay towards SARS-CoV-2 B.1, Omicron, Beta and Delta pseudotypes Results: All vaccines apart from Ad26.CoV2.S showed high levels of responder rates (93.3-100%) towards SARS-CoV-2 wild-type, but some reductions in neutralizing Beta and Delta VoC pseudotypes. The novel Omicron variant had the biggest impact, both in terms of response rates and neutralization titres among responders. Only mRNA-1273 showed a 100% response rate to Omicron and induced the highest titres of neutralizing antibodies, followed by heterologous prime-boost approaches. Homologous BNT162b2 vaccination or vector-based formulations with AZD1222 or Ad26.CoV2.S performed less well with peak responder rates of 33%, 50% and 9%, respectively. However, Omicron responder rates in BNT162b2 recipients were maintained in our six month longitudinal follow-up and even slightly increased to 47%, indicating cross-protection against Omicron is maintained over time. Conclusions: Overall, our data strongly argues for urgent booster doses in individuals who were previously vaccinated with BNT162b2, or a vector-based immunization scheme.


Subject(s)
COVID-19 , Breakthrough Pain
2.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.12.10.21267523

ABSTRACT

Background The ongoing COVID-19 pandemic is caused by the beta coronavirus SARS-CoV-2. COVID-19 manifests itself from mild or even asymptomatic infections to severe forms of life-threatening pneumonia. At the end of November 2021, yet another novel SARS-CoV-2 variant named B.1.1.529 or Omicron was discovered and classified as a variant of concern (VoC) by the WHO. Omicron shows significantly more mutations in the amino acid (aa) sequence of its spike protein than any previous variant, with the majority of those concentrated in the receptor binding domain (RBD). In this work, the binding of the Omicron RBD to the human ACE2 receptor was experimentally analyzed in comparison to the original Wuhan SARS-CoV-2 virus, and the Beta and Delta variants. Moreover, we compared the ability of human sera from COVID-19 convalescent donors and persons fully vaccinated with BNT162b2 (Corminaty) or Ad26.COV2.S (Janssen COVID-19 vaccine) as well as individuals who had boost vaccine doses with BNT162b2 or mRNA-1273 (Spikevax) to bind the different RBDs variants. Methods The Omicron RBD with 15 aa mutations compared to the original Wuhan strain was produced baculovirus-free in insect cells. Binding of the produced Omicron RBD to hACE was analyzed by ELISA. Sera from 27 COVID-19 patients, of whom 21 were fully vaccinated and 16 booster recipients were titrated on the original Wuhan strain, Beta, Delta and Omicron RBD and compared to the first WHO International Standard for anti-SARS-CoV-2 immunoglobulin (human) using the original Wuhan strain as reference. Results The Omicron RBD showed a slightly reduced binding to ACE2 compared to the other RBDs. The serum of COVID-19 patients, BNT162b2 vaccinated and boost vaccinated persons showed a reduced binding to Omicron RBD in comparison to the original Wuhan strain, Beta und Delta RBDs. In this assay, the boost vaccination did not improve the RBD binding when compared to the BNT162b2 fully vaccinated group. The RBD binding of the Ad26.COV2.S serum group was lower at all compared to the other groups. Conclusions The reduced binding of human sera to Omicron RBD provides first hints that the current vaccinations using BNT162b2, mRNA-1273 and Ad26.COV2.S may be less efficient in preventing infections with the Omicron variant.


Subject(s)
Pneumonia , COVID-19
3.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.05.04.21256597

ABSTRACT

Prevalence of SARS-CoV-2 antibodies is an essential indicator to guide measures. Few population-based estimates are available in Germany. We determine seroprevalence allowing comparison between regions, time points, socio-demographic and health-related factors. MuSPAD is a sequential multi-local seroprevalence study. We randomly recruited adults in five counties with differing cumulative SARS-CoV-2 incidence July 2020 - February 2021. Serostatus was determined using Spike S1-specific IgG ELISA. We determined county-wise proportions of seropositivity. We assessed underestimation of infections, county and age specific infection fatality risks, and association of seropositivity with demographic, socioeconomic and health factors. We found seroprevalence of 2.4 % (95%CI: 1.8-3.1%) for Reutlingen in June 2020 (stage 1) which increased to 2.9% (95%CI: 2.1-3.8%) in October (stage 2), Freiburg stage 1 1.5% (95% CI: 1.1-2.1%) vs. 2.5% (95%CI: 1.8-3.4%), Aachen stage 1 2.3% (95% CI: 1.7-3.1%) vs. 5.4% (95%CI: 4.4-6.6%), Osnabrück 1.3% (95% CI: 1.0-1.9%) and Magdeburg in Nov/Dec 2020. 2.4% (95%CI 1.9-3.1%). Number needed to quarantine to have one infected person quarantined was 8.2. The surveillance detection ratio (SDR) between number of infections based on our results and number reported to health authorities ranged from 2.5-4.5. Participants aged 80+ had lower SDR. Infection fatality estimates ranged from 0.2-2.4%. Lower education was associated with higher, smoking with lower seropositivity. Seroprevalence remained low until December 2020 with high underdetection. The second wave from November 2020 to February 2021 resulted in additional 2-5% of the population being infected. Detected age specific differences of SDR should be taken into account in modelling and forecasting COVID-19 morbidity. Highlights Evidence before this study Seroepidemiological surveys on SARS-CoV-2 are a useful tool to track the transmission during the epidemic. We searched PubMed/the pre-print server medRxiv and included web-based reports from German health organizations using the keywords “seroprevalence”, “SARS-CoV-2”, “Germany” and similar other English and German terms in the period from January 1st, 2020 until March 2021. We identified 30 published studies in Germany which mostly report low SARS-CoV-2 seroprevalence (<5%). Most of these surveys were so-called hotspot studies which assessed seroprevalence after localized outbreaks or examined seroprevalence of specific population groups such as e.g. medical staff. Few studies are either population-based or blood donor-based, but do not allow comparisons between regions. To date, we only consider the Corona sub-study of the Rhineland study similar to MuSPAD. It reports a low SARS-CoV-2 seroprevalence (46/4755; 0.97%; 95% CI: 0.72−1.30). Based on this, almost the entire German population remained susceptible to a SARS-CoV-2 infection by the end of 2020. Added value of this study We provide the first comprehensive, high-precision multi-region population-based SARS-CoV-2 seroprevalence study with representative sampling following the WHO protocol in Germany. By measuring SARS-CoV-2 IgG, we explore immunity at regional and national level over time. We also assess risk factors and sample each region twice, which permits to monitor seroprevalence progression throughout the epidemic in different exemplary German regions. Implications of all the available evidence Our results show low seroprevalence (<3%) until Mid-December 2020 in all regions. While estimates in Reutlingen, Aachen, Freiburg and Osnabrück reflect low seroprevalence mostly after the first wave, the survey in Magdeburg cumulatively already represents the beginning of the second wave. The number needed to quarantine to ensure one infected person was quarantined was 8.2 in our study. We also show that for the first wave reported infections reflected overall around 25% of those actually infected rising to 40-50% in the second wave. A slightly raised infection risk could be shown for persons with lower education.


Subject(s)
COVID-19
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