Presence of Flavivirus Antibodies Does Not Lead to a Greater Number of Symptoms in a Small Cohort of Canadian Travelers Infected with Zika Virus
by
Robert A. Kozak
1,2,†, 
Lee W. Goneau
3,†,
Cedric DeLima
3,
Olivia Varsaneux
4,
AliReza Eshaghi
3,
Erik Kristjanson
3,
Romy Olsha
3,
David Safronetz
5,
Stephen Perusini
3,
Christine Frantz
3 and
Jonathan B. Gubbay
2,3,6,* 1
Division of Microbiology, Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
2
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
3
Public Health Ontario, Toronto, ON M5G 1V2, Canada
4
Government of Canada, Ottawa, ON K1Z 8R9, Canada
5
Special Pathogens Program, National Microbiology Laboratory, Winnipeg, MB R3E 3R2, Canada
6
Hospital for Sick Children, Toronto, ON M5G 1V2, Canada
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this manuscript.
Viruses 2020, 12(2), 140; https://doi.org/10.3390/v12020140
Submission received: 25 October 2019
/
Revised: 12 January 2020
/
Accepted: 22 January 2020
/
Published: 24 January 2020
(This article belongs to the Special Issue Flavivirus Replication and Pathogenesis)
Abstract
:Zika virus (ZIKV) is a mosquito-borne flavivirus associated with a febrile illness as well as severe complications, including microcephaly and Guillain-Barré Syndrome. Antibody cross-reactivity between flaviviruses has been documented, and in regions where ZIKV is circulating, dengue virus (DENV) is also endemic, leaving the potential that previous exposure to DENV could alter clinical features of ZIKV infection. To investigate this, we performed a retrospective case-control study in which we compared Canadian travellers who had been infected with ZIKV and had serological findings indicating previous DENV or other flavivirus exposure (n = 16) to those without any previous exposure (n = 44). Patient samples were collected between February 2016 and September 2017 and submitted to Public Health Ontario for testing. ZIKV infection was determined using real-time RT-PCR and antibodies against DENV were identified by the plaque-reduction neutralization test. The mean time from symptom onset to sample collection was 5 days for both groups; the magnitude of viremia was not statistically different (Ct values: 35.6 vs. 34.9, p-value = 0.2). Clinical scores were also similar. Our findings indicate that previous DENV or other flavivirus exposure did not result in greater viremia or a higher illness score.
1. Introduction
Zika virus (ZIKV) is a mosquito-borne flavivirus spread primarily by the Aedes spp., and is a significant public health concern [1]. According to data from WHO, as of March 2018 there were 71 countries that reported introduction, re-introduction or ongoing transmission of the virus (www.who.int). In November 2018, an outbreak has been reported in India, highlighting the ongoing threat posed by this virus [2]. Moreover, in regions where ZIKV has been reported there are other vector-borne flaviviruses that are also endemic, most notably dengue virus (DENV), likely due to these viruses utilizing the same mosquito species as vectors [3]. Consequently, it has been suggested that previous exposure to DENV may increase the severity of subsequent ZIKV infection [4]. A potential mechanism could be the presence of cross-reactive antibodies against DENV that may result in antibody-dependent enhancement (ADE). In heterotypic DENV infections, this process results in more severe disease due to high concentrations of antibodies that bind, but do not neutralize the virus [5]. It has been hypothesized that ADE causes increased ZIKV replication and possibly more severe disease [4,6,7]. It has also been shown that ZIKV induces activation of cross-reactive B-cells in individuals who were previously exposed to DENV [8].
Experiments involving animal models of ZIKV infection have also supported this observation. Notably, Bardina and colleagues demonstrated an increase in mortality in ZIKV-infected Stat2-knockout mice that had been pre-treated with DENV-immune plasma [9]. Interestingly, prior exposure to ZIKV in non-human primates also resulted in higher peak viremia following DENV infection, and the serum from these animals demonstrated ADE of DENV in vitro [10]. However, other studies, using different mice strains, and in non-human primates that had been infected first with DENV, and then followed by a ZIKV challenge, have reported conflicting findings [11,12]. While informative, all studies are limited by the use of laboratory-passaged strains, non-natural hosts (in the case of mouse studies) and an artificial route of infection. It has been well established that re-infection with a different serotype of DENV results in ADE [5]. Collectively, there have been conflicting findings that have suggested that antibodies against DENV can cause ADE during ZIKV infection [13], or alternatively that these antibodies neutralize ZIKV, and may even confer protection [7]. Therefore, it remains unclear if previous DENV exposure is associated with a change in ZIKV disease severity or viral replication. This study investigated the relative viral load as well as the number, and severity of reported symptoms in ZIKV-positive patients with serological evidence of previous DENV or other flavivirus exposure compared to ZIKV-positive patients with no serological evidence of previous exposure.
2. Materials and Methods
2.1. Study Design
A retrospective case control study was performed on samples collected from symptomatic patients from July 2016 to September 2017. This was performed by Public Health Ontario (PHO) Laboratory, Ontario’s reference microbiology laboratory (Toronto, ON, Canada), together with Canada’s National Microbiology Laboratory (NML), Winnipeg, as these organizations were involved in diagnosing ZIKV in returning travelers from regions where the virus was circulating during the ZIKV epidemic, who presented to a healthcare provider in Ontario.
Detection of ZIKV RNA using the Altona RealStar® RT-PCR assay (Altona Diagnostics, Toronto, ON, Canada) was considered as a definitive diagnosis of ZIKV [14]. In this cohort, 60 patients were confirmed to have ZIKV infection by real-time RT-PCR and also had both ZIKV and DENV plaque-reduction neutralization test (PRNT) assay performed by the NML. Sixteen (26.6%) of the 60, who had serological evidence of previous DENV or other flavivirus exposure, were compared to 44 (73.3%) patients with no serological evidence of DENV or other flavivirus exposure.
A patient was considered to have previous exposure based on the results of their PRNT assays, in accordance with the CDC diagnostic guidelines described by Rabe et al. [15]. Patient demographic and syndromic data were collected using a pre-test screening form and all samples were anonymized. For disease severity a Zika illness score was developed where each reported symptom was given one point, and the sum of these points represented the score for the patient. This work was conducted on de-identified specimens submitted as part of routine clinical testing; hence, ethics approval was not required.
2.2. Virus and Antibody Detection
Detection of anti-ZIKV IgM antibodies was performed using the CDC ZIKV MAC-ELISA, an IgM-antibody capture assay, and ZIKV RNA detection in serum was performed using the Altona RealStar® RT-PCR, as described previously [16]. To test for DENV and chikungunya virus (CHKV) RNA, we adapted the assay previously described by Pongsiri and colleagues [17]. The plaque reduction neutralization test (PRNT) was performed on all patient samples. The PRNTs were performed in the manner described previously using the viral strains Puerto Rico and DENV-2 New Guinea C [16,18]. Briefly, various dilutions of patient sera were tested with 100 PFU per well. After a 1-h incubation at 37 °C, the mixtures of virus and patient sera were added to the plates containing monolayers of Vero cells. Following this, double overlays of nutrient agar with neutral red were added to the plates to visualize plaque formation over a 3-day period. The dilutions of sera were started at a screening dilution of 20-fold and progressed in a 2-fold pattern. A 90% or greater inhibition of plaque formation was documented as the endpoint dilution/titer [15]. Patients were considered negative for DENV exposure if their PRNT value was zero.
2.3. Statistical Analysis
T-tests were performed using SAS (SAS Institute, Cary, NC, USA). Due to insufficient evidence of unequal variances a pooled 95% confidence interval was used for both Ct values and symptoms. Statistical analysis was performed using SAS University Edition. Figures were generated using Graphpad prism version 6.0.
3. Results
3.1. Cohort Description
The complete description of the cohort is summarized in Table 1. All 60 patients included in this study were travelers to countries in the Caribbean and South America where ZIKV was circulating during the Zika virus epidemic, and ZIKV infection was confirmed by RT-PCR. There were 16 patients with detectable, PRNT-confirmed antibodies against DENV (Table 2), and 44 patients with no serological evidence of DENV exposure, as determined by both plaque-reduction neutralization testing, with a subset also undergoing ELISA testing. Specific serological testing results for other flaviviruses were not available.
In both groups, Jamaica was the most frequently visited country, although several other countries were visited, all of which were in the Caribbean or South America. The mean (51.3 years vs. 43 years) and median ages (52.5 vs. 44 years) were slightly higher in the cohort of patients with DENV exposure (p = 0.03). Notably, the average length of stay differed between the two groups (15 days vs. 11 days); however, this failed to achieve statistical significance (p = 0.051). This variation could reflect that differences in reason for travel for the two groups. It is possible that individuals with previous DENV or flavivirus exposure may have been returning to visit friends and relatives, spending longer in the ZIKV epidemic area. However, this information was not reported to our laboratory. Symptoms upon presentation to a healthcare provider (HCP) were reported for all patients; the mean time between symptom onset and sample collection was identical for both groups (5 days). Interestingly, while in both groups the majority had detectable ZIKV IgM (Table 1), it was not detectable in all individuals. For both groups, travel history to other regions where flaviviruses were endemic, or vaccination status against yellow fever virus or Japanese encephalitis virus could not be determined.
3.2. Relative Magnitude of Viremia
Viremia has been associated with more severe clinical disease for many viruses [19]. As noted in Table 1, the mean time between symptom onset and sample collection was similar for both groups. This was important as it is known that ZIKV viremia decreases over the course of disease [20,21]. Viremia was determined in each group using the Altona ZIKV PCR assay [16], and as shown in Figure 1, Ct values (35.87 vs. 35.14, p = 0.2050) and PFU equivalents (p = 0.11) were similar between both groups.
3.3. Clinical Presentation
Both cohorts had a similar range of symptoms, with rash being most commonly (93.7%) reported in both groups (Table 3). Fever and arthralgia were also reported at approximately similar frequencies. Anorexia, nausea and vomiting were not noted in either group. Interestingly, respiratory symptoms were reported in a small subset of each group, and while this has been reported before in patients infected with ZIKV [22], we cannot rule out that these individuals had a co-infection with a respiratory virus. In terms of total number of symptoms reported, individuals with serological evidence of DENV exposure had an average symptom score of 3.7, compared to 3.4 in patients who had only been infected with ZIKV (Figure 1). There was no significant difference in mean number of symptoms (p = 0.3949). Overall, this suggests that the initial severity of infection did not differ between the two groups.
4. Discussion
Despite the fact that ZIKV was first described over 70 years ago [23,24], there is still much that remains to be understood regarding pathogenesis. There is increasing interest in investigating the effect of previous flavivirus exposure on ZIKV pathogenesis, and our data support the studies reported from patients in endemic areas [25,26]. Bernardes-Terzian and colleagues also failed to find an increase in ZIKV viremia in Brazilian patients who had serological evidence of previous dengue infection. Additionally, analysis of cytokines noted only modest differences, suggesting disease pathogenesis would be similar. A limitation of their study was the fact that it was done amongst patients from an epidemic area, and the authors did not perform PRNT assays, thereby making it difficult to determine if the antibodies detected in patients were due to DENV or ZIKV [25]. In our cohort, exposure was determined by PRNT, and thus we could more confidently determine who had previous exposure to DENV, although it should be noted that exposure to other flaviviruses could not be entirely ruled out. Additionally, a more recent study by Santiago and colleagues also reported no increase in viral load associated with serostatus [26]. The symptoms associated with ZIKV have been well defined, with rash, fever, arthralgia and conjunctivitis being commonly reported [27]. We did not find significant difference in the number of symptoms reported between the two groups, which is in agreement with Bernardes-Terzian and colleagues [25]. Similarly, it has been shown in pregnant mothers who were infected with ZIKV that prior DENV exposure did not correlate with clinical severity, nor with abnormal birth outcomes, and one study has suggested that prior DENV exposure may even provide protection [28,29]. Additionally, the ZIKV epidemic has not altered the downward trend in DENV severity and mortality that has been reported, further suggesting that exposure to one virus does not result in more severe disease due to the other [4]. Moreover, although co-infection with both viruses has not been frequently reported, in reports or case-series where it has been, an increase in disease severity has not been noted [30].
There are several limitations to our study. One limitation is the potential for cross-reactivity among flaviviruses, which may confound DENV PRNT—the extent to which this occurred in our cohort could not be determined and is a challenge for all flavivirus serological studies. While collecting baseline serologies would be ideal, this is too logistically challenging in our cohort, but may be considered for future studies. Moreover, it has been suggested that PRNT interpretation criteria may need to be adjusted for DENV-endemic areas [31], and how this should be taken into account for extended travel to a region should also be investigated. Since follow up of patients was not possible it cannot be ruled out that their course of disease lasted longer, or that viral shedding or persistence may have differed between groups. Moreover, as the testing was performed at a reference laboratory, we were unable to compare biochemical or hematological profiles between the two groups and did not have direct interaction with the patient. This also limits our ability to ask follow-up questions regarding symptoms that may not have been included in the requisition form. As an example, it has been suggested that yellow fever vaccination may provide moderate protection against ZIKV [32]. While it is part of the standard questionnaire for sample submission, whether or not the patients in either group had received this vaccine, or had documented infection with yellow fever virus may not always have been asked by the health-care provider, although it could be a potential confounding factor. Furthermore, it is not possible to determine if the individual had travelled previously to regions where other flaviviruses (e.g., Spondweni, Kedougou) are endemic, which could also confound results.
Additionally, our data cannot determine whether previous exposure to DENV or other flaviviruses increased or decreased the likelihood of a patient being asymptomatic following ZIKV exposure. Interestingly, recent studies comparing naïve-NHPs to DENV exposed-NHPs, both groups being challenged with ZIKV virus showed comparable number of asymptomatic animals [33]. Larger cohort studies investigating population serologies must be pursued to investigate this in humans. Additionally, it must be considered that the time between DENV exposure and subsequent ZIKV exposure may also play a role in viremia and disease severity, as has been shown with repeated DENV infections [34].
Collectively, our findings add to the evidence that prior flavivirus exposure does not result in more severe ZIKV infection. This is important in the context of vaccination as understanding the role of pre-existing immunity to related viruses can influence vaccine design and implementation. Additionally, it has important clinical and public health implications in regions where the virus is circulating, and for travelers to those areas.
Author Contributions
R.A.K, L.W.G. and J.B.G. were involved in the conceptualization of design of the study. L.W.G., S.P., C.F., E.K., R.O., D.S. and R.A.K. were involved in data collection and analysis. O.V. and R.A.K. performed statistical analysis and interpretation. Manuscript writing was done by R.A.K., L.W.G. and J.B.G, and all authors participated in editing. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Acknowledgments
This study was supported by Public Health Ontario. Public Health Ontario has no role in study design, data collection or results interpretation.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Kass, D.E.; Merlino, M. Zika Virus. N. Engl. J. Med. 2016, 375, 294–295. [Google Scholar] [CrossRef]
- De Oliveira Garcia, M.H. Zika: The continuing threat. Bull. World Health Organ. 2019, 97, 6–7. [Google Scholar] [CrossRef]
- Patterson, J.; Sammon, M.; Garg, M. Dengue, Zika and Chikungunya: Emerging Arboviruses in the New World. West J. Emerg. Med. 2016, 17, 671–679. [Google Scholar] [CrossRef] [PubMed]
- Martin-Acebes, M.A.; Saiz, J.C.; Jimenez de Oya, N. Antibody-Dependent Enhancement and Zika: Real Threat or Phantom Menace? Front Cell Infect. Microbiol. 2018, 8, 44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Katzelnick, L.C.; Gresh, L.; Halloran, M.E.; Mercado, J.C.; Kuan, G.; Gordon, A.; Balmaseda, A.; Harris, E. Antibody-dependent enhancement of severe dengue disease in humans. Science 2017, 358, 929–932. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kawiecki, A.B.; Christofferson, R.C. Zika Virus-Induced Antibody Response Enhances Dengue Virus Serotype 2 Replication In Vitro. J. Infect. Dis. 2016, 214, 1357–1360. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Priyamvada, L.; Quicke, K.M.; Hudson, W.H.; Onlamoon, N.; Sewatanon, J.; Edupganti, S.; Pattanapanyasat, K.; Chokephaibulkit, K.; Mulligan, M.; Wilson, C.; et al. Human antibody responses after dengue virus infection are highly cross-reactive to Zika virus. Proc. Natl. Acad. Sci. USA 2016. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rogers, T.F.; Goodwin, E.C.; Briney, B.; Sok, D.; Beutler, N.; Strubel, A.; Nedellec, R.; Le, K.; Brown, M.E.; Burton, D.R.; et al. Zika virus activates de novo and cross-reactive memory B cell responses in dengue-experienced donors. Sci. Immunol. 2017, 2. [Google Scholar] [CrossRef] [Green Version]
- Bardina, S.V.; Bunduc, P.; Tripathi, S.; Duehr, J.; Frere, J.J.; Brown, J.A.; Nachbagauer, R.; Foster, G.A.; Krysztof, D.; Tortorella, D.; et al. Enhancement of Zika virus pathogenesis by preexisting antiflavivirus immunity. Science 2017, 356, 175–180. [Google Scholar] [CrossRef] [Green Version]
- George, J.; Valiant, W.G.; Mattapallil, M.J.; Walker, M.; Huang, Y.S.; Vanlandingham, D.L.; Misamore, J.; Greenhouse, J.; Weiss, D.E.; Verthelyi, D.; et al. Prior Exposure to Zika Virus Significantly Enhances Peak Dengue-2 Viremia in Rhesus Macaques. Sci. Rep. 2017, 7, 10498. [Google Scholar] [CrossRef]
- Kam, Y.W.; Lee, C.Y.; Teo, T.H.; Howland, S.W.; Amrun, S.N.; Lum, F.M.; See, P.; Kng, N.Q.; Huber, R.G.; Xu, M.H.; et al. Cross-reactive dengue human monoclonal antibody prevents severe pathologies and death from Zika virus infections. JCI Insight 2017, 2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- McCracken, M.K.; Gromowski, G.D.; Friberg, H.L.; Lin, X.; Abbink, P.; de La Barrera, R.; Eckles, K.H.; Garver, L.S.; Boyd, M.; Jetton, D.; et al. Impact of prior flavivirus immunity on Zika virus infection in rhesus macaques. PLoS Pathog. 2017, 13, e1006487. [Google Scholar] [CrossRef]
- Dejnirattisai, W.; Supasa, P.; Wongwiwat, W.; Rouvinski, A.; Barba-Spaeth, G.; Duangchinda, T.; Sakuntabhai, A.; Cao-Lormeau, V.M.; Malasit, P.; Rey, F.A.; et al. Dengue virus sero-cross-reactivity drives antibody-dependent enhancement of infection with zika virus. Nat. Immunol. 2016, 17, 1102–1108. [Google Scholar] [CrossRef] [PubMed]
- Waggoner, J.J.; Pinsky, B.A. Zika Virus: Diagnostics for an Emerging Pandemic Threat. J. Clin. Microbiol. 2016, 54, 860–867. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rabe, I.B.; Staples, J.E.; Villanueva, J.; Hummel, K.B.; Johnson, J.A.; Rose, L.; Rose, L.; Hills, S.; Wasley, A.; Fischer, M.; et al. Interim Guidance for Interpretation of Zika Virus Antibody Test Results. MMWR Morb. Mortal. Wkly. Rep. 2016, 65, 543–546. [Google Scholar] [CrossRef] [Green Version]
- L’Huillier, A.G.; Lombos, E.; Tang, E.; Perusini, S.; Eshaghi, A.; Nagra, S.; Frantz, C.; Olsha, R.; Kristjanson, E.; Dimitrova, K.; et al. Evaluation of Altona Diagnostics RealStar Zika Virus Reverse Transcription-PCR Test Kit for Zika Virus PCR Testing. J. Clin. Microbiol. 2017, 55, 1576–1584. [Google Scholar] [CrossRef] [Green Version]
- Pongsiri, P.; Praianantathavorn, K.; Theamboonlers, A.; Payungporn, S.; Poovorawan, Y. Multiplex real-time RT-PCR for detecting chikungunya virus and dengue virus. Asian Pac. J. Trop. Med. 2012, 5, 342–346. [Google Scholar] [CrossRef] [Green Version]
- Calisher, C.H.; Karabatsos, N.; Dalrymple, J.M.; Shope, R.E.; Porterfield, J.S.; Westaway, E.G.; Brandt, W.E. Antigenic relationships between flaviviruses as determined by cross-neutralization tests with polyclonal antisera. J. Gen. Virol. 1989, 70, 37–43. [Google Scholar] [CrossRef]
- De La Vega, M.A.; Caleo, G.; Audet, J.; Qiu, X.; Kozak, R.A.; Brooks, J.I.; Kern, S.; Wolz, A.; Sprecher, A.; Greig, J.; et al. Ebola viral load at diagnosis associates with patient outcome and outbreak evolution. J. Clin. Investig. 2015, 125, 4421–4428. [Google Scholar] [CrossRef] [Green Version]
- Fourcade, C.; Mansuy, J.M.; Dutertre, M.; Delpech, M.; Marchou, B.; Delobel, P.; Izopet, J.; Martin-Blondel, G. Viral load kinetics of Zika virus in plasma, urine and saliva in a couple returning from Martinique, French West Indies. J. Clin. Virol. 2016, 82, 1–4. [Google Scholar] [CrossRef]
- Read, J.S.; Torres-Velasquez, B.; Lorenzi, O.; Rivera Sanchez, A.; Torres-Torres, S.; Rivera, L.V.; Capre-Franceschi, S.M.; Garcia-Gubern, C.; Munoz-Jordan, J.; Santiago, G.A.; et al. Symptomatic Zika Virus Infection in Infants, Children, and Adolescents Living in Puerto Rico. JAMA Pediatr. 2018. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Colombo, T.E.; Estofolete, C.F.; Reis, A.F.N.; da Silva, N.S.; Aguiar, M.L.; Cabrera, E.M.S.; Dos Santos, I.N.P.; Costa, F.R.; Cruz, L.; Rombola, P.L.; et al. Clinical, laboratory and virological data from suspected ZIKV patients in an endemic arbovirus area. J. Clin. Virol. 2017, 96, 20–25. [Google Scholar] [CrossRef] [PubMed]
- Dick, G.W. Zika virus. II. Pathogenicity and physical properties. Trans. R. Soc. Trop. Med. Hyg. 1952, 46, 521–534. [Google Scholar] [CrossRef]
- Dick, G.W.; Kitchen, S.F.; Haddow, A.J. Zika virus. I. Isolations and serological specificity. Trans. R. Society Trop. Med. Hyg. 1952, 46, 509–520. [Google Scholar] [CrossRef]
- Terzian, A.C.B.; Schanoski, A.S.; Mota, M.T.O.; da Silva, R.A.; Estofolete, C.F.; Colombo, T.E.; Rahal, P.; Hanley, K.A.; Vasilakis, N.; Kalil, J.; et al. Viral Load and Cytokine Response Profile Does Not Support Antibody-Dependent Enhancement in Dengue-Primed Zika Virus-Infected Patients. Clin. Infect. Dis. 2017, 65, 1260–1265. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Santiago, G.A.; Sharp, T.M.; Rosenberg, E.; Sosa Cardona, I.I.; Alvarado, L.; Paz-Bailey, G.; Munoz-Jordan, J.L. Prior Dengue Virus Infection Is Associated With Increased Viral Load in Patients Infected With Dengue but Not Zika Virus. Open Forum Infect. Dis. 2019, 6. [Google Scholar] [CrossRef]
- Petersen, L.R.; Jamieson, D.J.; Powers, A.M.; Honein, M.A. El virus del Zika. N. Engl. J. Med. 2016, 374, 1552–1563. [Google Scholar] [CrossRef]
- Halai, U.A.; Nielsen-Saines, K.; Moreira, M.L.; de Sequeira, P.C.; Junior, J.P.P.; de Araujo Zin, A.; Cherry, J.; Gabaglia, C.R.; Gaw, S.L.; Adachi, K.; et al. Maternal Zika Virus Disease Severity, Virus Load, Prior Dengue Antibodies, and Their Relationship to Birth Outcomes. Clin. Infect. Dis. 2017, 65, 877–883. [Google Scholar] [CrossRef] [Green Version]
- Pedroso, C.; Fischer, C.; Feldmann, M.; Sarno, M.; Luz, E.; Moreira-Soto, A.; Cabral, R.; Netto, E.M.; Brites, C.; Kummerer, B.M.; et al. Cross-Protection of Dengue Virus Infection against Congenital Zika Syndrome, Northeastern Brazil. Emerg. Infect. Dis. 2019, 25, 1485–1493. [Google Scholar] [CrossRef] [Green Version]
- Chia, P.Y.; Yew, H.S.; Ho, H.; Chow, A.; Sadarangani, S.P.; Chan, M.; Kam, Y.W.; Chong, C.Y.; Thoon, K.C.; Yung, C.F.; et al. Clinical features of patients with Zika and dengue virus co-infection in Singapore. J. Infect. 2017, 74, 611–615. [Google Scholar] [CrossRef] [Green Version]
- Ward, M.J.; Alger, J.; Berrueta, M.; Bock, H.; Buekens, P.; Cafferata, M.L.; Ciganda, A.; Garcia, J.; Garcia, K.; Lopez, W.; et al. Zika Virus and the World Health Organization Criteria for Determining Recent Infection Using Plaque Reduction Neutralization Testing. Am. J. Trop. Med. Hyg. 2018, 99, 780–782. [Google Scholar] [CrossRef] [Green Version]
- Heukelbach, J.; Alencar, C.H.; Kelvin, A.A.; de Oliveira, W.K.; Pamplona de Goes Cavalcanti, L. Zika virus outbreak in Brazil. J. Infect. Dev. Ctries. 2016, 10, 116–120. [Google Scholar] [CrossRef] [PubMed]
- Pantoja, P.; Perez-Guzman, E.X.; Rodriguez, I.V.; White, L.J.; Gonzalez, O.; Serrano, C.; Giavedoni, L.; Hodara, V.; Cruz, L.; Arana, T.; et al. Zika virus pathogenesis in rhesus macaques is unaffected by pre-existing immunity to dengue virus. Nat. Commun. 2017, 8, 15674. [Google Scholar] [CrossRef] [PubMed]
- Montoya, M.; Gresh, L.; Mercado, J.C.; Williams, K.L.; Vargas, M.J.; Gutierrez, G.; Kuan, G.; Gordon, A.; Balmaseda, A.; Harris, E. Symptomatic versus inapparent outcome in repeat dengue virus infections is influenced by the time interval between infections and study year. PLoS Negl. Trop. Dis. 2013, 7, e2357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1.
Relative magnitude of viremia and disease severity. (A) ZIKV RNA Ct values as a measure of viremia in patients who were DENV PRNT negative (black circles) and those with evidence of DENV or flavivirus exposure, based on DENV PRNT (black squares). The lines represent the mean and error bars represent standard deviation. (B) PFU equivalents as in interpolated from Ct values. The bars represent the means, and error bars represent standard deviation. (C)Mean Zika illness score for patients. The total number of symptoms for patients with (grey bars) or without (black bars) previous serological evidence of DENV exposure was determined and used to generate a disease severity score. The error bars represent standard deviation. Additionally, as shown in Table 1, the majority of patients were tested for the presence of DENV and CHKV IgM and/or RNA. Overall, this suggests that viremia did not differ between the two groups.
Figure 1.
Relative magnitude of viremia and disease severity. (A) ZIKV RNA Ct values as a measure of viremia in patients who were DENV PRNT negative (black circles) and those with evidence of DENV or flavivirus exposure, based on DENV PRNT (black squares). The lines represent the mean and error bars represent standard deviation. (B) PFU equivalents as in interpolated from Ct values. The bars represent the means, and error bars represent standard deviation. (C)Mean Zika illness score for patients. The total number of symptoms for patients with (grey bars) or without (black bars) previous serological evidence of DENV exposure was determined and used to generate a disease severity score. The error bars represent standard deviation. Additionally, as shown in Table 1, the majority of patients were tested for the presence of DENV and CHKV IgM and/or RNA. Overall, this suggests that viremia did not differ between the two groups.
Table 1.
Characteristics of Zika virus (ZIKV)-positive patient cohorts.
| DENV PRNT Reactive (n = 16) | DENV PRNT Non-Reactive (n = 44) | |
|---|---|---|
| Mean age (yrs) | 51.9 | 43 |
| Median age (yrs) | 52.5 | 44 |
| Age range (yrs) | 33–88 | 18–75 |
| % Female | 62.5% (n = 10) | 50% (n = 22) |
| Mean number of days of travel (days) | 15 (range 7–33) | 11 (range 0–37) |
| Mean time from last day of travel to symptom onset (days) | 3 (range 0–9) | 1 (range −8–9) |
| Mean period from symptom onset to specimen collection (days) | 5 (range 0–12) | 5 (range 1–13) |
| ZIKV IgM reactive | 87.5% (n = 14) | 97% (n = 43) |
| DENV PRNT positive | 100% (n = 16) | 0% Δ |
| % tested for acute DENV * | 68% (n = 11) | 57% (n = 25) |
| % tested for acute CHKV * | 63% (n = 10) | 52% (n = 23) |
* Patients were tested by RT-PCR or IgM ELISA. No positives were detected amongst tested patients. Δ All patients were tested.
Table 2.
Plaque-Reduction Neutralization Titers of patients with serological evidence of previous exposure to flaviviruses, including DENV.
Table 2.
Plaque-Reduction Neutralization Titers of patients with serological evidence of previous exposure to flaviviruses, including DENV.
| Patient | ZIKA PRNT | DENV PRNT | Fold Difference | Interpretation Δ |
|---|---|---|---|---|
| 1 | 0 | 1:20 | N/A | Previous dengue virus exposure |
| 2 | 1:160 | 1:40 | 0.25 | Flavivirus infection, specific virus cannot be identified |
| 3 | 1:20 | 1:40 | 2 | Flavivirus infection, specific virus cannot be identified |
| 4 | 1:20 | 1:80 | 4 | Flavivirus infection, specific virus cannot be identified |
| 5 | 1:40 | 1:160 | 4 | Flavivirus infection, specific virus cannot be identified |
| 6 | 1:20 | 1:160 | 4 | Flavivirus infection, specific virus cannot be identified |
| 7 | 1:40 | 1:160 | 4 | Flavivirus infection, specific virus cannot be identified |
| 8 | 1:320 | 1:320 | 1 | Flavivirus infection, specific virus cannot be identified |
| 9 | 1:40 | 1:1280 | 32 | Flavivirus infection, specific virus cannot be identified |
| 10 | 0 | >1:40 | 4 | Previous dengue virus exposure |
| 11 | 0 | >1:40 | 4 | Previous dengue virus exposure |
| 12 | 0 | >1:40 | 4 | Previous dengue virus exposure |
| 13 | 0 | >1:40 | 4 | Previous dengue virus exposure |
| 14 | 0 | >1:40 | 4 | Previous dengue virus exposure |
| 15 | 0 | >1:40 | 4 | Previous dengue virus exposure |
| 16 | 1:40 | >1:640 | 16 | Flavivirus infection, specific virus cannot be identified |
Δ Interpretation is based on CDC diagnostic criteria [15]
Table 3.
Summary of clinical symptoms reported at presentation.
| DENV or Flavivirus Exposure (n = 16) | No Exposure (n = 44) | |
|---|---|---|
| ACHES | 18.7% (n = 3) | 2.3% (n = 1) |
| ANOREXIA | 0% (n = 0) | 2.3% (n = 1) |
| ARTHRALGIA | 56.3% (n = 9) | 43.2% (n = 19) |
| CHILLS | 12.5% (n = 2) | 4.5% (n = 2) |
| CUNJUNCTIVITIS | 31.3% (n = 5) | 20.5% (n = 9) |
| FATIGUE | 25% (n = 4) | 15.9% (n = 7) |
| FEVER | 43.8% (n = 7) | 61.4% (n = 27) |
| GASTROENTERITIS | 6.3% (n = 1) | 6.8% (n = 3) |
| HEADACHE | 37.5% (n = 6) | 31.8% (n = 14) |
| LYMPHADENITIS | 6.3% (n = 1) | 9% (n = 4) |
| MALAISE | 6.3% (n = 1) | 2.3% (n = 1) |
| MYALGIA | 25% (n = 4) | 25% (n = 11) |
| NAUSEA/VOMITING | 6.3% (n = 1) | 4.5% (n = 2) |
| NEUROLOGICAL | 0% | 6.8% (n = 3) |
| WEAKNESS | 0% | 2.3% (n = 1) |
| RESP. SYMPTOMS | 31.3% (n = 5) | 9.1% (n = 4) |
| RASH | 93.7% (n = 15) | 93.7% (n = 41) |
| OTHER | 12.5% (n = 2) | 2.3% (n = 1) |
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Kozak, R.A.; Goneau, L.W.; DeLima, C.; Varsaneux, O.; Eshaghi, A.; Kristjanson, E.; Olsha, R.; Safronetz, D.; Perusini, S.; Frantz, C.; et al. Presence of Flavivirus Antibodies Does Not Lead to a Greater Number of Symptoms in a Small Cohort of Canadian Travelers Infected with Zika Virus. Viruses 2020, 12, 140. https://doi.org/10.3390/v12020140
AMA Style
Kozak RA, Goneau LW, DeLima C, Varsaneux O, Eshaghi A, Kristjanson E, Olsha R, Safronetz D, Perusini S, Frantz C, et al. Presence of Flavivirus Antibodies Does Not Lead to a Greater Number of Symptoms in a Small Cohort of Canadian Travelers Infected with Zika Virus. Viruses. 2020; 12(2):140. https://doi.org/10.3390/v12020140
Chicago/Turabian StyleKozak, Robert A., Lee W. Goneau, Cedric DeLima, Olivia Varsaneux, AliReza Eshaghi, Erik Kristjanson, Romy Olsha, David Safronetz, Stephen Perusini, Christine Frantz, and et al. 2020. "Presence of Flavivirus Antibodies Does Not Lead to a Greater Number of Symptoms in a Small Cohort of Canadian Travelers Infected with Zika Virus" Viruses 12, no. 2: 140. https://doi.org/10.3390/v12020140
APA StyleKozak, R. A., Goneau, L. W., DeLima, C., Varsaneux, O., Eshaghi, A., Kristjanson, E., Olsha, R., Safronetz, D., Perusini, S., Frantz, C., & Gubbay, J. B. (2020). Presence of Flavivirus Antibodies Does Not Lead to a Greater Number of Symptoms in a Small Cohort of Canadian Travelers Infected with Zika Virus. Viruses, 12(2), 140. https://doi.org/10.3390/v12020140
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