Mosquito-borne Flavivirus Research Articles

Predictive model for Zika virus RNA minipool nucleic acid testing in outbreak scenarios.

Zika virus (ZIKV), a mosquito-borne flavivirus, causes asymptomatic infections in blood donors and can be transmitted by transfusion. During the 2016 US outbreak, universal individual-donation nucleic acid testing (ID-NAT) was used to screen the blood supply for ZIKV. Testing pooled samples from multiple donations with minipool (MP)-NAT is less sensitive than ID-NAT, which raised questions about its utility in ZIKV outbreaks. A mathematical model and computer simulation determined the risk of missing ID-NAT-reactive and immunoglobulin (Ig) M-negative donations in a ZIKV outbreak if MP-NAT is used initially instead of ID-NAT. The model calculated the time required for ZIKV RNA to replicate to a concentration detectable by testing donations individually or in pools of 6 (MP6) or 16 (MP16). A computer simulation then randomly selected infection times to determine the probability of detection by the candidate tests. The probability of detecting the first ID-NAT-reactive unit in an outbreak is 92% (2.5th-97.5th percentile, 79%-99%) by MP6 and 85% (2.5th-97.5th percentile, 67%-99%) by MP16. When one donation is detected by MP-NAT, the model predicts that the chance of having missed one or more ID-NAT-reactive donations is 8% to 15%. The probability of missing a unit by MP-NAT is constant over the course of the outbreak (8% by MP6, 15% by MP16). The model predicts that the probability that a candidate MP-NAT will detect the first ID-NAT-reactive unit in a ZIKV outbreak is 85% to 92% and remains constant over time.

Anti-Zika Activity of a Library of Synthetic Carbohydrate Receptors.

Zika virus (ZIKV), a mosquito-borne flavivirus, is a global health concern because of its association with severe neurological disorders. Currently, there are no antiviral therapies that have been specifically approved to treat ZIKV, and there is an urgent need to develop effective anti-ZIKV agents. Here, we report anti-ZIKV activity of 16 synthetic carbohydrate receptors (SCRs) that inhibit ZIKV infection in Vero and HeLa cells. Using a ZIKV reporter virus particle-based infection assay, our data demonstrates these SCRs are highly potent with IC50s as low as 0.16 μM and negligible toxicity at several-fold higher concentrations. Time-of-addition studies showed that these SCRs inhibit the early stages of the virus infection, which is consistent with the proposed mode of action, where the SCRs likely inhibit binding between the virus and cell-surface glycans, thereby preventing viral entry into the cells and, as such, this study demonstrates a potential new strategy against ZIKV.

Aedes mosquitoes acquire and transmit Zika virus by breeding in contaminated aquatic environments

Zika virus (ZIKV) is a mosquito-borne flavivirus that predominantly circulates between humans and Aedes mosquitoes. Clinical studies have shown that Zika viruria in patients persists for an extended period, and results in infectious virions being excreted. Here, we demonstrate that Aedes mosquitoes are permissive to ZIKV infection when breeding in urine or sewage containing low concentrations of ZIKV. Mosquito larvae and pupae, including from field Aedes aegypti can acquire ZIKV from contaminated aquatic systems, resulting in ZIKV infection of adult females. Adult mosquitoes can transmit infectious virions to susceptible type I/II interferon receptor-deficient (ifnagr-/-) C57BL/6 (AG6) mice. Furthermore, ZIKV viruria from infected AG6 mice can causes mosquito infection during the aquatic life stages. Our studies suggest that infectious urine could be a natural ZIKV source, which is potentially transmissible to mosquitoes when breeding in an aquatic environment.

Beyond Neutralizing Antibody Levels: The Epitope Specificity of Antibodies Induced by National Institutes of Health Monovalent Dengue Virus Vaccines.

Dengue virus is an emerging mosquito-borne flavivirus responsible for considerable morbidity and mortality worldwide. The Division of Intramural Research, National Institute of Allergy and Infectious Diseases of the US National Institutes of Health (NIH) has developed live attenuated vaccines to each of the 4 serotypes of dengue virus (DENV1-4). While overall levels of DENV neutralizing antibodies (nAbs) in humans have been correlated with protection, these correlations vary depending on DENV serotype, prevaccination immunostatus, age, and study site. By combining both the level and molecular specificity of nAbs to each serotype, it may be possible to develop more robust correlates that predict long-term outcome. Using depletions and recombinant chimeric epitope transplant DENVs, we evaluate the molecular specificity and mapped specific epitopes and antigenic regions targeted by vaccine-induced nAbs in volunteers who received the NIH monovalent vaccines against each DENV serotype. After monovalent vaccination, subjects developed high levels of nAbs that mainly targeted epitopes that are unique (type-specific) to each DENV serotype. The DENV1, 2, and 4 monovalent vaccines induced type-specific nAbs directed to quaternary structure envelope epitopes known to be targets of strongly neutralizing antibodies induced by wild-type DENV infections. Our results reported here on the molecular specificity of NIH vaccine-induced antibodies enable new strategies, beyond the absolute levels of nAbs, for determining correlates and mechanisms of protective immunity.

Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates

The recent Zika virus (ZIKV) epidemic in the Americas ranks among the largest outbreaks in modern times. Like other mosquito-borne flaviviruses, ZIKV circulates in sylvatic cycles among primates that can serve as reservoirs of spillover infection to humans. Identifying sylvatic reservoirs is critical to mitigating spillover risk, but relevant surveillance and biological data remain limited for this and most other zoonoses. We confronted this data sparsity by combining a machine learning method, Bayesian multi-label learning, with a multiple imputation method on primate traits. The resulting models distinguished flavivirus-positive primates with 82% accuracy and suggest that species posing the greatest spillover risk are also among the best adapted to human habitations. Given pervasive data sparsity describing animal hosts, and the virtual guarantee of data sparsity in scenarios involving novel or emerging zoonoses, we show that computational methods can be useful in extracting actionable inference from available data to support improved epidemiological response and prevention.

Vector-borne transmission and evolution of Zika virus.

Zika virus (ZIKV), discovered in the Zika Forest of Uganda in 1947, is a mosquito-borne flavivirus related to yellow fever, dengue and West Nile viruses. From its discovery until 2007, only sporadic ZIKV cases were reported, with mild clinical manifestations in patients. Therefore, little attention was given to this virus before epidemics in the South Pacific and the Americas that began in 2013. Despite a growing number of ZIKV studies in the past three years, many aspects of the virus remain poorly characterized, particularly the spectrum of species involved in its transmission cycles. Here, we review the mosquito and vertebrate host species potentially involved in ZIKV vector-borne transmission worldwide. We also provide an evidence-supported analysis regarding the possibility of ZIKV spillback from an urban cycle to a zoonotic cycle outside Africa, and we review hypotheses regarding recent emergence and evolution of ZIKV. Finally, we identify critical remaining gaps in the current knowledge of ZIKV vector-borne transmission.

Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis

Zika virus (ZIKV) is a mosquito-borne flavivirus. Homologous proteins of different flaviviruses display high degrees of sequence identity, especially within subgroups. This leads to extensive immunological cross-reactivity and corresponding problems for developing a ZIKV-specific serological assay. In this study, peptide microarrays were employed to identify individual ZIKV antibody targets with promise in differential diagnosis. A total of 1643 overlapping oligopeptides were synthesized and printed onto glass slides. Together, they encompass the full amino acid sequences of ZIKV proteomes of African, Brazilian, USA, and French Polynesian origins. The resulting ZIKV scanning microarray chips were used to screen three pools of sera from recent Zika outbreaks in Senegal and Cape Verde, in Brazil, and from overseas travelers returning to the EU. Together with a mixed pool of well characterized, archived sera of patients suffering from infections by dengue, yellow fever, tick-borne encephalitis, and West Nile viruses, a total of 42 sera went into the study. Sixty-eight antibody target regions were identified. Most of which were hitherto unknown. Alignments and sequence comparisons revealed 13 of which could be classified as bona fide ZIKV-specific. These identified antibody target regions constitute a founding set of analytical tools for serological discrimination of ZIKV from other flaviviruses.

West Nile Virus-Inclusive Single-Cell RNA Sequencing Reveals Heterogeneity in the Type I Interferon Response within Single Cells.

West Nile virus (WNV) is a neurotropic mosquito-borne flavivirus of global importance. Neuroinvasive WNV infection results in encephalitis and can lead to prolonged neurological impairment or death. Type I interferon (IFN-I) is crucial for promoting antiviral defenses through the induction of antiviral effectors, which function to restrict viral replication and spread. However, our understanding of the antiviral response to WNV infection is mostly derived from analysis of bulk cell populations. It is becoming increasingly apparent that substantial heterogeneity in cellular processes exists among individual cells, even within a seemingly homogenous cell population. Here, we present WNV-inclusive single-cell RNA sequencing (scRNA-seq), an approach to examine the transcriptional variation and viral RNA burden across single cells. We observed that only a few cells within the bulk population displayed robust transcription of IFN-β mRNA, and this did not appear to depend on viral RNA abundance within the same cell. Furthermore, we observed considerable transcriptional heterogeneity in the IFN-I response, with genes displaying high unimodal and bimodal expression patterns. Broadly, IFN-stimulated genes negatively correlated with viral RNA abundance, corresponding with a precipitous decline in expression in cells with high viral RNA levels. Altogether, we demonstrated the feasibility and utility of WNV-inclusive scRNA-seq as a high-throughput technique for single-cell transcriptomics and WNV RNA detection. This approach can be implemented in other models to provide insights into the cellular features of protective immunity and identify novel therapeutic targets.IMPORTANCE West Nile virus (WNV) is a clinically relevant pathogen responsible for recurrent epidemics of neuroinvasive disease. Type I interferon is essential for promoting an antiviral response against WNV infection; however, it is unclear how heterogeneity in the antiviral response at the single-cell level impacts viral control. Specifically, conventional approaches lack the ability to distinguish differences across cells with varying viral abundance. The significance of our research is to demonstrate a new technique for studying WNV infection at the single-cell level. We discovered extensive variation in antiviral gene expression and viral abundance across cells. This protocol can be applied to primary cells or in vivo models to better understand the underlying cellular heterogeneity following WNV infection for the development of targeted therapeutic strategies.

Identification of antiviral roles for the exon-junction complex and nonsense-mediated decay in flaviviral infection.

West Nile virus (WNV) is an emerging mosquito-borne flavivirus, related to dengue virus and Zika virus. To gain insight into host pathways involved in WNV infection, we performed a systematic affinity-tag purification mass spectrometry (AP-MS) study to identify 259 WNV-interacting human proteins. RNAi screening revealed 26 genes that both interact with WNV proteins and influence WNV infection. We found that WNV, dengue and Zika virus capsids interact with a conserved subset of proteins that impact infection. These include the exon-junction complex (EJC) recycling factor, PYM1, which is antiviral against all three viruses. The EJC has roles in nonsense-mediated decay (NMD), and we found that both the EJC and NMD are antiviral and the EJC protein RBM8A directly binds WNV RNA. To counteract this, flavivirus infection inhibits NMD and the capsid-PYM1 interaction interferes with EJC protein function and localization. Depletion of PYM1 attenuates RBM8A binding to viral RNA, suggesting that WNV sequesters PYM1 to protect viral RNA from decay. Together, these data suggest a complex interplay between the virus and host in regulating NMD and the EJC.

Investigating the interferon antagonistic abilities of louping ill virus, a neglected animal pathogen endemic to the UK

Louping ill virus (LIV; Flavivirus, Flaviviridae) is an important—but poorly characterized—animal pathogen of significant economic concern within the UK. Transmitted by ticks, LIV predominantly causes disease in ruminants and grouse, resulting in heavy losses. LIV is closely related to another flavivirus—tick-borne encephalitis virus (TBEV) which, unlike LIV, is a significant human pathogen. The molecular mechanisms that underpin host restriction in these viruses are poorly understood however, previously it has been shown that the TBEV non-structural (NS) proteins do not act as type-I interferon (IFN) antagonists, unlike many other Flavivirus NS proteins. Therefore, to facilitate comparison with LIV we investigated the possible antagonistic actions of the LIV NS proteins using a luciferase-based IFN reporter assay. Utilising this assay we identified six LIV NS proteins that function as antagonists throughout the IFN induction cascade. We also identified and modelled a subgenomic flavivirus RNA (sfRNA) that is produced during LIV infection and is similar in structure to TBEV sfRNA. We found that the LIV and TBEV sfRNAs antagonise RIG-I, indicating that the IFN antagonistic ability of sfRNA is not limited to mosquito-borne flaviviruses. Finally, we established the first LIV reverse genetics system using circular polymerase extension reaction (CPER). This powerful tool can be used to produce chimeric viruses which will allow further investigation into the factors governing host restriction and virulence in tick-borne flaviviruses. Investigating the mechanisms that underlie LIV infection aids our understanding of interferon antagonism in flaviviruses and the molecular determinants of host restriction.

Usutu Virus Isolated from Rodents in Senegal

Usutu virus (USUV) is a Culex-associated mosquito-borne flavivirus of the Flaviviridae family. Since its discovery in 1959, the virus has been isolated from birds, arthropods and humans in Europe and Africa. An increasing number of Usutu virus infections in humans with neurological presentations have been reported. Recently, the virus has been detected in bats and horses, which deviates from the currently proposed enzootic cycle of USUV involving several different avian and mosquito species. Despite this increasing number of viral detections in different mammalian hosts, the existence of a non-avian reservoir remains unresolved. In Kedougou, a tropical region in the southeast corner of Senegal, Usutu virus was detected, isolated and sequenced from five asymptomatic small mammals: Two different rodent species and a single species of shrew. Additional molecular characterization and in vivo growth dynamics showed that these rodents/shrew-derived viruses are closely related to the reference strain (accession number: AF013412) and are as pathogenic as other characterized strains associated with neurological invasions in human. This is the first evidence of Usutu virus isolation from rodents or shrews. Our findings emphasize the need to consider a closer monitoring of terrestrial small mammals in future active surveillance, public health, and epidemiological efforts in response to USUV in both Africa and Europe.

The Zika virus epidemic 3 years on: a personal perspective

The Zika virus epidemic 3 years on: a personal perspective

Added value of IgA antibodies against Zika virus non-structural protein 1 in the diagnosis of acute Zika virus infections

Zika virus (ZIKV) is a mosquito-borne flavivirus posing a public health threat due to its association with neurological complications in newborns and adults. In flavivirus-endemic areas, coming mosquito seasons will require the differentiation of primary versus secondary and acute versus past ZIKV/flavivirus infections. This is complicated by two major difficulties: [i] secondary infections often present with low or undetectable titres of specific IgM and with early-positive IgG, [ii] previous flavivirus infection(s) or vaccinations cause elevated cross-reactivities. Here, we analysed the anti-ZIKV IgA, IgG, and IgM responses at different stages of infection in an endemic setting, scrutinising the diagnostic relevance of specific IgA. Anti-ZIKV antibodies were measured by ELISA based on ZIKV non-structural protein 1 (NS1) in paired sera from 31 patients with suspected primary or (flavivirus-primed) secondary ZIKV infection. The control panel comprised samples from 136 DENV-infected patients. Among ZIKV samples collected 8–16 days after symptom onset, ELISA sensitivities for detecting anti-ZIKV NS1 IgA, IgG, and IgM were 93.5%, 100%, and 48.4%, respectively. The proportion of cases with negative IgM but positive IgA was higher in suspected secondary (61.9%) than in primary (30.0%) ZIKV infections. Combined IgA/IgM detection yielded a sensitivity of 100% at a specificity of 97.1%. In conclusion, at time points after PCR can detect the virus, the determination of anti-ZIKV NS1 IgA may improve the accuracy in diagnosing acute ZIKV infection in flavivirus-endemic regions in the context of both primary and secondary infection, especially when IgM is undetectable.

In-Silico Prediction of Peptide Based Vaccine Against Zika Virus

Zika fever is a disease caused by Zika virus which is a mosquito-borne flavivirus and infection is through the bite of mosquito from the Aedes genus. Other mode of transmission of Zika fever is blood transfusion, which is thoroughly investigated. Prominent symptoms of Zika virus fever are mild fever, skin rash, conjunctivitis, muscle and joint pain, malaise or headache. These symptoms normally last for 2–7 days. There is currently no effective and easily affordable vaccine available against Zika virus. Keeping the current status in mind we have devised our objectives to design a peptide-based vaccine against Zika Virus using in-silico approach. The NS3 and NS5 proteins of Zika virus are well known of having important role in replication of the virus that is why we have targeted these proteins for epitope prediction. Prediction and screening of epitopes was performed using IEDB tool. We have also checked the efficacy of these screened epitopes with the help of IC50 value and docking score. “VEMGEAAAI” was found to be the high affinity binding epitope for MHC Class I and MHC Class II molecule. These findings conclude that the predicted epitope could well be used as a potential vaccine candidate for formulations of vaccines against Zika virus.

Identification of small molecule inhibitors targeting the Zika virus envelope protein

The recent emergence of Zika virus, a mosquito-borne flavivirus, in the Americas has shed light on the severe neurological diseases associated with infection, notably congenital microcephaly in newborns and Guillain-Barré syndrome in adults. Despite the recent focus on Zika virus, there are currently no approved vaccines or antiviral therapies available to treat or prevent infection. In this study we established a competitive amplified luminescent proximity homogeneous assay (ALPHAscreen) to identify small molecule inhibitors targeting the envelope protein of Zika virus (Zika E). We utilized this assay to screen two libraries of nearly 27,000 compounds and identified seven novel inhibitors of Zika E. Characterization of these primary screening leads demonstrated that inhibition of Zika virus occurs at non-cytotoxic concentrations for all seven lead compounds. In addition, we found that all seven lead compounds have potent activity against the closely related dengue virus 2 but not vesicular stomatitis virus, an unrelated enveloped virus. Biochemical experiments indicate that these compounds act by preventing E-mediated membrane fusion. This work highlights a new method for the discovery and optimization of direct-acting antivirals targeting the E protein of Zika and other flaviviruses.

Optimization of qRT-PCR assay for zika virus detection in human serum and urine

Zika Virus (ZIKV) is a mosquito-borne flavivirus that the World Health Organization (WHO) declared a global concern due to the severity of infection. This study focuses on determining the level of detection of ZIKV RNA in human serum and urine. Known amounts of Zika virus were added to uninfected human serum and urine samples. Different reverse transcriptases were compared to select the optimal enzyme for this application. Zika RNA in these samples was then quantified with qRT-PCR to determine the lower limit of detection in these fluids and to construct a standard curve. Student’s t-test of paired samples was used in order to identify statistical differences. The SuperScript III enzyme was able to produce more ZIKV cDNA when compared to PrimeScript. Zika virus RNA was found to be detectable at lower levels (2.5 PFU/mL) in urine than in serum (250 PFU/mL) when using SuperScript III. This study demonstrates how the selection of both the human clinical specimen, and the reverse transcriptase enzyme involved in the molecular detection of ZIKV by quantitative real-time polymerase chain reaction (qRT-PCR), play an important role in enabling improved detection of the virus.

Beauveria bassiana infection reduces the vectorial capacity of Aedes albopictus for the Zika virus

Zika virus (ZIKV), a mosquito-borne flavivirus, poses a serious threat to public health worldwide, and Aedes albopictus is one of its vectors. To evaluate the potential of the entomopathogenic fungus Beauveria bassiana for ZIKV vector control, we compared the vectorial capacity of Ae. albopictus females blood-fed with ZIKV with or without exposure to Beauveria bassiana. We found that fungal infection significantly decreased the amount of ZIKV by 3.6-, 12.3- and 7.8-fold in mosquito midguts, heads and salivary glands, respectively. Similarly, fungal infection also reduced the rates of ZIKV dissemination, potential transmission and potential population transmission for mosquitoes by 26.8%, 38.4% and 35.2%, respectively. On the other hand, the median survival time and fecundity of fungus-infected mosquitoes were reduced by 84.2% and 39.8% in comparison with those of the non-fungus-infected mosquitoes. The first gonotrophic cycle length was increased by 15.3% because of fungal infection. This study revealed that B. bassiana infection significantly reduced the vectorial capacity of A. albopictus for ZIKV, which suggested that B. bassiana could be broadly and efficiently used in the field for the control of Zika vectors.

Multiplex real-time RT-PCR for detection and distinction of Spondweni and Zika virus

Zika (ZIKV) and Spondweni viruses (SPOV) are closely related mosquito borne flaviviruses in the Spondweni serogroup. The co-circulation and similar disease presentation following ZIKV and SPOV infection necessitates the development of a diagnostic tool for their simultaneous detection and distinction. We developed a one-step multiplex real-time RT-PCR (ZIKSPOV) to detect and distinguish between SPOV and ZIKV by utilizing a single primer set combined with virus specific hydrolysis probes. The ZIKSPOV assay was compared to published virus specific real-time RT-PCR assays and the limit of detection was comparable. The SPOV reference strain AR94 was detectable to 0.001 TCID50 per PCR reaction, while African lineage ZIKV (MR 766) was detectable to 0.002 TCID50 per reaction and Asian lineage ZIKV (H/PF/2013) to 0.05 TCID50 per reaction. The ZIKSPOV assay did not detect other flaviviruses, indicative of its specificity for Spondweni serogroup. The ZIKSPOV assay is a useful addition to arbovirus diagnostic and surveillance tools in areas where ZIKV and SPOV are expected to co-circulate. Further evaluation is required to demonstrate the application of the assay for detection of ZIKV and SPOV in mosquito and human clinical samples.

Abstract # 3084 Rat model of Prenatal Zika Virus infection

Zika virus (ZIKV), a mosquito-borne flavivirus, has been associated with microcephaly and other neurological disorders in infants born to infected mothers. Despite being declared an international emergency by the World Health Organization, comparatively very little is known about the pathogenesis, mechanisms, or behavioral consequences of maternal ZIKV infection in the offspring. Our lab is interested in developing a working animal model to answer some of these questions. Here, we use a rat model of prenatal ZIKV infection to measure the level of infectivity, as well as the rate of viral clearance in both the mother and her pups. We examine various aspects of brain development in pups, including cortical thickness, microglia morphology, apoptosis, and neurogenesis. Given that pregnancy is associated with significant immunomodulation, we are also interested in the role that pregnancy has on the impact of ZIKV infection, therefore we compare viral infectivity between both pregnant and non-pregnant female rats. In this study, we show that prenatal ZIKV infection results in an increase in cell death and reduces hippocampal and cortical volumes in the neonatal rat brain. For the first time, we demonstrate the efficacy and validity of a rat model for maternal ZIKV infection with vertical transmission to the fetus.

Monocyte-Derived Dendritic Cells as Model to Evaluate Species Tropism of Mosquito-Borne Flaviviruses.

Several mosquito-borne Flaviviruses such as Japanese encephalitis virus (JEV), West Nile virus (WNV), Dengue Virus (DENV), and Zika virus (ZIKV) can cause severe clinical disease. Being zoonotic, Flaviviruses infect a wide variety of terrestrial vertebrates, which dependent of the virus-host interactions, can enhance ongoing epidemics and maintain the virus in the environment for prolonged periods. Targeted species can vary from amphibians, birds to various mammals, dependent on the virus. For many mosquito-borne flaviviruses the spectrum of targeted species is incompletely understood, in particular with respect to their contribution to the maintenance of virus in certain geographical regions. Furthermore, little is known about virus and host factors contributing to species tropism. The present study utilized human and porcine monocyte-derived dendritic cells (MoDC) as a cell culture model to better understand Flavivirus species tropism and innate immune responses. MoDC were selected based on their presence in the skin and their role as an early target cell for several Flaviviruses and their role as immune sentinels. While differences in viral infectivity and replication were minor when comparing porcine with human MoDC for some of the tested Flaviviruses, a particularly strong replication in human MoDC was found with USUV, while JEV appeared to have a stronger tropism for porcine MoDC. With respect to innate immune responses we found high induction of TNF and IFN-β in both human and porcine MoDC after infection with JEV, WNV, and USUV, but not with DENV, ZIKV, and Wesselsbron virus. Spondweni virus induced these cytokine responses only in porcine MoDC. Overall, innate immune responses correlated with early infectivity and cytokine production. In conclusion, we demonstrate Flavivirus-dependent differences in the interaction with MoDC. These may play a role in pathogenesis but appear to only partially reflect the expected species tropism.