Antibody-Dependent Enhancement and Zika: Real Threat or Phantom Menace?

Martín-Acebes, Miguel A.; Sáiz, Juan‐Carlos; Oya, Nereida Jiménez de

doi:10.3389/fcimb.2018.00044

Cited by 64 publications

(64 citation statements)

References 30 publications

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“…Specifically, IgG1 and IgG3 were the subclasses induced following ZIKV infection, closely resembling DENV-infected patients. 35 Moreover, none of the ZIKV patients in our study displayed severe symptoms to suggest occurrence of antibodydependent enhancement (ADE), 30 and similar observations were also reported from Brazil. This observation is also supported by another study, in which the profiles of ZIKV-neutralising antibodies of patients from Nicaragua, Sri Lanka and Thailand were not affected by previous DENV infection.…”

Section: Discussionsupporting

confidence: 83%

“…34 Nonetheless, it is imperative to consider the possible implications of virusinfection enhancement. 35 Moreover, none of the ZIKV patients in our study displayed severe symptoms to suggest occurrence of antibodydependent enhancement (ADE), 30 and similar observations were also reported from Brazil. 35,36 Peptides identified from B-cell epitope mapping have been reported on flavivirus E, prM, NS1 and NS3 antigens from antibodies of patients and animal models.…”

Section: Discussionsupporting

confidence: 83%

“…35 Moreover, none of the ZIKV patients in our study displayed severe symptoms to suggest occurrence of antibodydependent enhancement (ADE), 30 and similar observations were also reported from Brazil. 35,36 Peptides identified from B-cell epitope mapping have been reported on flavivirus E, prM, NS1 and NS3 antigens from antibodies of patients and animal models. 31,37,38 Identification of antigenic epitopes and characterisation of cross-reactive epitopes are crucial in vaccine and immunodiagnostic developments.…”

Section: Discussionsupporting

confidence: 83%

“…33 Although patients from this cohort had detectable DENV IgG levels because of the high level of crossreactivity among flaviviruses, 7-10 DENV neutralisation was significantly less efficient compared to ZIKV, indicating that the antibodies were ZIKV-specific (Figure 1e, f and Supplementary figure 2). 35,36 Peptides identified from B-cell epitope mapping have been reported on flavivirus E, prM, NS1 and NS3 antigens from antibodies of patients and animal models. 34 Nonetheless, it is imperative to consider the possible implications of virusinfection enhancement.…”

Section: Discussionmentioning

confidence: 99%

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Novel differential linear B‐cell epitopes to identify Zika and dengue virus infections in patients

et al. 2019

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Objectives Recent Zika virus (ZIKV) outbreaks challenged existing laboratory diagnostic standards, especially for serology‐based methods. Because of the genetic and structural similarity of ZIKV with other flaviviruses, this results in cross‐reactive antibodies, which confounds serological interpretations. Methods Plasma from Singapore ZIKV patients was screened longitudinally for antibody responses and neutralising capacities against ZIKV. Samples from healthy controls, ZIKV patients and DENV patients were further assessed using ZIKV and DENV peptides of precursor membrane (prM), envelope (E) or non‐structural 1 (NS1) viral proteins in a peptide‐based ELISA for epitope identification. Identified epitopes were re‐validated and diagnostically evaluated using sera of patients with DENV, bacteria or unknown infections from Thailand. Results Long‐lasting ZIKV‐neutralising antibodies were elicited during ZIKV infection. Thirteen potential linear B‐cell epitopes were identified, and of these, four common flavivirus, three ZIKV‐specific and one DENV‐specific differential epitopes had more than 50% sensitivity and specificity. Notably, ZIKV‐specific peptide 26 on domain I/II of E protein (amino acid residues 271–288) presented 80% sensitivity and 85.7% specificity. Importantly, the differential epitopes also showed significance in differentiating non‐flavivirus patient samples. Conclusion Linear B‐cell epitope candidates to differentiate between ZIKV and DENV infections were identified, providing the first step towards the design of a much‐needed serology‐based assay.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionsupporting

confidence: 83%

Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

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Novel differential linear B‐cell epitopes to identify Zika and dengue virus infections in patients

et al. 2019

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“…Like DENV, ZIKV is a flavivirus, and the structural similarity between them results in cross-immunity. [32] Whether this cross-immunity leads to antibody-dependent enhancement (ADE, that results in more severe forms of the disease), protection, or neither, is still uncertain [33][34][35]. In our study, the number of dengue cases increased after the peak of Zika cases.…”

Section: Dengue Chikungunya and Zika Multivariate Clustersmentioning

confidence: 60%

Space-time clusters of dengue, chikungunya, and Zika cases in the city of Rio de Janeiro

Freitas

Cruz

Lowe

et al. 2019

Preprint

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Brazil is a dengue-endemic country where all four dengue virus serotypes circulate and cause seasonal epidemics. Recently, chikungunya and Zika viruses were also introduced. In Rio de Janeiro city, the three diseases co-circulated for the first time in 2015-2016, resulting in what is known as the 'triple epidemic'. In this study, we identify space-time clusters of dengue, chikungunya, and Zika, to understand the dynamics and interaction between these simultaneously circulating arboviruses in a densely populated and heterogeneous city.We conducted a spatio-temporal analysis of weekly notified cases of the three diseases in Rio de Janeiro city (July 2015 -January 2017), georeferenced by 160 neighbourhoods, using Kulldorff's scan statistic with discrete Poisson probability models.There were 26549, 13662, and 35905 notified cases of dengue, chikungunya, and Zika, respectively.The 17 dengue clusters and 15 Zika clusters were spread all over the city, while the 14 chikungunya clusters were more concentrated in the North and Downtown areas. Zika clusters persisted over a longer period of time. The multivariate scan statistic -used to analyse the three diseases simultaneously -detected 17 clusters, nine of which included all three diseases. This is the first study exploring space-time clustering of dengue, chikungunya, and Zika in an intraurban area. In general, the clusters did not coincide in time and space. This is probably the result of the competition between viruses for host resources, and of vector-control attitudes promoted by previous arbovirus outbreaks. The main affected area -the North region -is characterised by a combination of high population density and low human development index, highlighting the importance of targeting interventions in this area. Spatio-temporal scan statistics have the potential to direct interventions to high-risk locations in a timely manner and should be considered as part of the municipal surveillance routine as a tool to optimize prevention strategies. an arboviral disease transmitted by Aedes mosquitoes, has been endemic in Brazil for decades, but vector-control strategies have not led to a significant reduction in the disease burden and were not sufficient to prevent chikungunya and Zika entry and establishment in the country. In Rio de Janeiro city, the first Zika and chikungunya epidemics were detected between 2015-2016, coinciding with a dengue epidemic. Understanding the behaviour of these diseases in a triple epidemic scenario is a necessary step for devising better interventions for prevention and outbreak response. We applied scan statistics analysis to detect spatio-temporal clustering for each disease separately and for all three simultaneously. In general, clusters were not detected in the same locations and time periods, possibly due to competition between viruses for host resources, and change in behaviour of the human population (e.g. intensified vector-control activities in response to increasing cases of a particular arbovirus). Neighbourhoods with high populati...

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A Multifunctional Neutralizing Antibody‐Conjugated Nanoparticle Inhibits and Inactivates SARS‐CoV‐2

et al. 2021

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The outbreak of 2019 coronavirus disease (COVID‐19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has resulted in a global pandemic. Despite intensive research, the current treatment options show limited curative efficacies. Here the authors report a strategy incorporating neutralizing antibodies conjugated to the surface of a photothermal nanoparticle (NP) to capture and inactivate SARS‐CoV‐2. The NP is comprised of a semiconducting polymer core and a biocompatible polyethylene glycol surface decorated with high‐affinity neutralizing antibodies. The multifunctional NP efficiently captures SARS‐CoV‐2 pseudovirions and completely blocks viral infection to host cells in vitro through the surface neutralizing antibodies. In addition to virus capture and blocking function, the NP also possesses photothermal function to generate heat following irradiation for inactivation of virus. Importantly, the NPs described herein significantly outperform neutralizing antibodies at treating authentic SARS‐CoV‐2 infection in vivo. This multifunctional NP provides a flexible platform that can be readily adapted to other SARS‐CoV‐2 antibodies and extended to novel therapeutic proteins, thus it is expected to provide a broad range of protection against original SARS‐CoV‐2 and its variants.

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Antibody-Dependent Enhancement and Zika: Real Threat or Phantom Menace?

Cited by 64 publications

References 30 publications

Novel differential linear B‐cell epitopes to identify Zika and dengue virus infections in patients

Novel differential linear B‐cell epitopes to identify Zika and dengue virus infections in patients

Space-time clusters of dengue, chikungunya, and Zika cases in the city of Rio de Janeiro

A Multifunctional Neutralizing Antibody‐Conjugated Nanoparticle Inhibits and Inactivates SARS‐CoV‐2

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