Does immunity after Zika virus infection cross-protect against dengue?

Ribeiro, Guilherme S.; Kikuti, Mariana; Tauro, Laura B.; Nascimento, Leile Camila Jacob; Cardoso, Cristiane Wanderley; Campos, Gubio S.; Ko, Albert I.; Weaver, Scott C.; Reis, Mitermayer Galvão dos; Kitron, Uriel; Paploski, Igor Adolfo Dexheimer; Silva, Monaíse M. O.; Kasper, Amelia M.; Tavares, Anna Carolina Faria Moreira Gomes; Cruz, Jaqueline S.; Moreira, Patrícia S.S.; Anjos, Rosângela O.; Araújo, Josélio M.G.; Khouri, Ricardo; Sardi, Silvia Inês

doi:10.1016/s2214-109x(17)30496-5

Cited by 74 publications

(74 citation statements)

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“…After the epidemic, herd immunity reduced ZIKV transmission and DENV will re-emerge and potentially infect these DENVnaïve ZIKV-immune sub-populations in The Americas or potentially in other geographic areas newly at risk 26,27 . An epidemiological study based on active Dengue surveillance in Salvador, Brazil, suggests that the reduction of DENV cases after the ZIKV epidemic is due to protection from cross-reactive immune responses between these viruses 28 . Prospective experimental studies are needed to confirm this hypothesis.…”

Section: Introductionmentioning

confidence: 99%

“…This scenario will more closely resemble the epidemiological setting and time intervals elapsed between the current circulation of related flaviviruses in the Americas. So currently, the role of multiple convalescent periods to ZIKV in the outcome of DENV and other flavivirus infections is in the forefront of discussions based on the limited studies available in experimental models and a lack of characterized human prospective cohorts of this scenario yet 28,[44][45][46] .…”

Section: Introductionmentioning

confidence: 99%

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Time elapsed between Zika and dengue virus infections affects antibody and T cell responses

Pérez-Guzmán

Pantoja

Serrano-Collazo

et al. 2019

Preprint

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34The role of Zika virus (ZIKV) immunity on subsequent dengue virus (DENV) infections is 35 relevant to anticipate the dynamics of forthcoming DENV epidemics in areas with previous ZIKV 36 exposure. We study the effect of ZIKV infection with various strains on subsequent DENV 37 immune response after 10 and 2 months of ZIKV infection in rhesus macaques. Our results 38show that a subsequent DENV infection in animals with early-and middle-convalescent periods 39 to ZIKV do not promote an increase in DENV viremia nor pro-inflammatory status. Previous 40 ZIKV exposure increases the magnitude of the antibody and T cell responses against DENV, 41 and different time intervals between infections alter the magnitude and durability of such 42 responses-more after longer ZIKV pre-exposure. Collectively, we find no evidence of a 43 detrimental effect of ZIKV immunity in a subsequent DENV infection. This supports the 44 implementation of ZIKV vaccines that could also boost immunity against future DENV 45 epidemics. 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61Zika virus (ZIKV) is a re-emerging mosquito-borne Flavivirus that has captivated the 62 attention of the scientific community by its explosive spread in The Americas 1 , and severe 63 neurological sequelae following infection 2-4 . ZIKV established itself in tropical and sub-tropical 64 regions that are endemic to other closely-related flaviviruses such as dengue virus (DENV). 65Both viruses belong to the Flaviviridae family and are transmitted by Aedes spp. mosquitoes. 66DENV is a global public health threat, having two-thirds of world's population at risk of infection, 67 causing ~390 million infections annually 5,6 . DENV exists as four genetically similar but 68 antigenically different serotypes (DENV1-4) 7 . Exposure to one DENV serotype confers long-69 lived immunity against a homotypic secondary infection. However, secondary infection with a 70 heterologous serotype of DENV is the major risk factor to induce severe DENV disease [8][9][10] . 71Due to the antigenic similarities between DENV and ZIKV, concerns have been raised 72 regarding the impact of DENV-ZIKV cross-reactive immunity on the development of severe 73 clinical manifestations 11,12 . It has been demonstrated that DENV-immune sera from humans can 74 enhance ZIKV infection in vitro 13,14 , and in vivo in immune-deficient mouse models 15 . However, 75 recent results from our group and others have shown that previous flavivirus exposure-76including DENV-may have no detrimental impact on ZIKV infection in vivo in non-human 77 primates (NHP) 16,17 and humans 18 . Moreover, these studies and others suggest that previous 78 DENV immunity may play a protective role during ZIKV infection involving humoral and cellular 79 responses 19-23 . On the other hand, little is known about the opposite scenario, the role of a 80 previous ZIKV exposure on subsequent DENV infection, which is relevant to anticipate the 81 dynamics of forthcoming DENV epidemics. 82The recent ZIKV epidemic in the Americas resulted in t...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Time elapsed between Zika and dengue virus infections affects antibody and T cell responses

Pérez-Guzmán

Pantoja

Serrano-Collazo

et al. 2019

Preprint

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“…Our results demonstrate a significant decline in dengue cases in 2017 in Brazil and Colombia. Studies involving laboratory confirmed cases and enhanced serosurveillance (see for example Ribeiro et al 2018 33 ) will play an important role in pinpointing the mechanism underlying this reduction. Our simulation results show that troughs in dengue incidence are followed by atypically high dengue levels.…”

Section: Stochastic Simulations Incorporating Immune-mediated Interacmentioning

confidence: 99%

“…The unavailability of Zika case count data during the height of the ZIKV epidemic in northeast Brazil, one of the most severely affected regions 33 , may have contributed to our inability to identify a relationship between cumulative Zika cases and observed dengue incidence. In both Brazil and Colombia, misclassified cases (potentially resulting from shared symptoms between case definitions of dengue, Zika, and chikungunya) also may have restricted our ability to detect such a relationship.…”

mentioning

confidence: 99%

Dengue after Zika: characterizing impacts of Zika emergence on endemic dengue transmission

Borchering

Huang

Mier-y-Terán-Romero

et al. 2019

Preprint

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In 2015 and 2016, Zika virus (ZIKV) swept through many Latin American countries where dengue virus (DENV) is endemic. Dengue and Zika viruses are of the same family, share a vector and may interact competitively or synergistically through human immune responses. We examine dengue incidence data from Brazil and Colombia from before, during, and after the Zika epidemic. We find evidence that dengue incidence was atypically low in 2017 in both Brazil and Colombia. We investigate whether Zika incidence at the state or department level is associated with changes in dengue incidence and find mixed results. We use simulations to investigate expected impact of cross-protection or enhancement between dengue and Zika. Our simulations show that regardless of the mechanism, low periods of dengue incidence are followed by a resurgence in dengue cases. It is therefore likely that countries currently experiencing low levels of dengue incidence will experience large dengue seasons in the near future. By considering multiple combinations of DENV and ZIKV reproduction numbers, we demonstrate that the mixed results of our statistical models are not entirely unexpected. Correlations in DENV and ZIKV reproduction number could contribute to complicating or masking an association between their case counts.

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“…A previous study suggested that a Zika epidemic would prevent a subsequent dengue epidemic, as a consequence of cross-immunity [31]. Like DENV, ZIKV is a flavivirus, and the structural similarity between them results in cross-immunity.…”

Section: Dengue Chikungunya and Zika Multivariate Clustersmentioning

confidence: 99%

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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Does immunity after Zika virus infection cross-protect against dengue?

Cited by 74 publications

References 5 publications

Time elapsed between Zika and dengue virus infections affects antibody and T cell responses

Time elapsed between Zika and dengue virus infections affects antibody and T cell responses

Dengue after Zika: characterizing impacts of Zika emergence on endemic dengue transmission

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

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