Population structure of the dengue viruses, Aragua, Venezuela, 2006-2007. Insights into dengue evolution under hyperendemic transmission

Insecticide resistance levels and associated mechanisms in three Aedes aegypti populations from Venezuela

BACKGROUND

The massive use of insecticides in public health has exerted selective pressure resulting in the development of resistance in Aedes aegypti to different insecticides in Venezuela. Between 2010 and 2020, the only insecticides available for vector control were the organophosphates (Ops) fenitrothion and temephos which were focally applied.

OBJECTIVES

To determine the state of insecticide resistance and to identify the possible biochemical and molecular mechanisms involved in three populations of Ae. aegypti from Venezuela.

METHODS

CDC bottle bioassays were conducted on Ae. aegypti collected between October 2019 and February 2020 in two hyperendemic localities for dengue in Aragua State and in a malaria endemic area in Bolívar State. Insecticide resistance mechanisms were studied using biochemical assays and polymerase chain reaction (PCR) to detect kdr mutations.

FINDINGS

Bioassays showed contrasting results among populations; Las Brisas was resistant to malathion, permethrin and deltamethrin, Urbanización 19 de Abril was resistant to permethrin and Nacupay to malathion. All populations showed significantly higher activity of mixed function oxidases and glutathione-S-transferases (GSTs) in comparison with the susceptible strain. The kdr mutations V410L, F1534C, and V1016I were detected in all populations, with F1534C at higher frequencies.

MAIN CONCLUSION

Insecticide resistance persists in three Ae. aegypti populations from Venezuela even in the relative absence of insecticide application.

Global Evolutionary History and Dynamics of Dengue Viruses Inferred from Whole Genome Sequences

Dengue is an arboviral disease caused by dengue virus (DENV), leading to approximately 25,000 deaths/year and with over 40% of the world’s population at risk. Increased international travel and trade, poorly regulated urban expansion, and warming global temperatures have expanded the geographic range and incidence of the virus in recent decades. This study used phylogenetic and selection pressure analyses to investigate trends in DENV evolution, using whole genome coding sequences from publicly available databases alongside newly sequenced isolates collected between 1963–1997 from Southeast Asia and the Pacific. Results revealed very similar phylogenetic relationships when using the envelope gene and the whole genome coding sequences. Although DENV evolution is predominantly driven by negative selection, a number of amino acid sites undergoing positive selection were found across the genome, with the majority located in the envelope and NS5 genes. Some genotypes appear to be diversifying faster than others within each serotype. The results from this research improve our understanding of DENV evolution, with implications for disease control efforts such as Wolbachia-based biocontrol and vaccine design.

The RNA Secondary Structure Analysis Reveals Potential for Emergence of Pathogenic Flaviviruses

The Flavivirus genus is divided into four groups: Mosquito-borne flaviviruses, Tick-borne flaviviruses, no-known vector flaviviruses, and Insect specific flaviviruses. Millions of people are affected worldwide every year due to the flaviviral infections. The 5' UTR of the RNA genome plays a critical role in the biology of flaviviruses. To explore any correlation between the topology of the 5' UTR and pathogenesis, a global scale study of the RNA secondary structure of different groups of flaviviruses has been conducted. We found that most of the pathogenic flaviviruses, irrespective of their mode of transmission, tend to form a Y shaped topology in the Stem loop A of the 5' UTR. Some of the current non-pathogenic flaviviruses were also observed to form Y shaped structure. Based on this study, it has been proposed that the flaviviruses having the Y shaped topology in their 5' UTR regions may have the potential to become pathogenic.

Applied shotgun metagenomics approach for the genetic characterization of dengue viruses

Dengue virus (DENV), an arthropod-borne virus, has rapidly spread in recent years. DENV diagnosis is performed through virus serology, isolation or molecular detection, while genotyping is usually done through Sanger sequencing of the envelope gene. This study aimed to optimize the use of shotgun metagenomics and subsequent bioinformatics analysis to detect and type DENV directly from clinical samples without targeted amplification. Additionally, presence of DENV quasispecies (intra-host variation) was revealed by detecting single nucleotide variants. Viral RNA was isolated with or without DNase-I treatment from 17 DENV (1-4) positive blood samples. cDNA libraries were generated using either a combination of the NEBNext® RNA to synthesize cDNA followed by Nextera XT DNA library preparation, or the TruSeq RNA V2 (TS) library preparation kit. Libraries were sequenced using both the MiSeq and NextSeq. Bioinformatic analysis showed complete ORFs for all samples by all approaches, but longer contigs and higher sequencing depths were obtained with the TS kit. No differences were observed between MiSeq and NextSeq sequencing. Detection of multiple DENV serotypes in a single sample was feasible. Finally, results were obtained within three days with associated reagents costs between €130-170/sample. Therefore, shotgun metagenomics is suitable for identification and typing of DENV in a clinical setting.

Complete Genome Sequence of Dengue Virus Serotype 2, Asian/American Genotype, Isolated from the Urine of a Venezuelan Child with Hemorrhagic Fever in 2016

The complete genome sequence was obtained for a Dengue virus 2 isolate from the urine of an 8-year-old girl who was hospitalized with dengue hemorrhagic fever in 2016 in Venezuela.

Full-genome amplification and sequencing of Zika viruses using a targeted amplification approach

We have developed methods for full-genome sequencing of Zika viruses (ZIKVs) based on a targeted amplification approach. We used alignments of publicly available complete genome data to design a primer set that selectively amplifies ZIKVs. The approach includes amplification strategies for templates present at both high- and low-copy number, and PCR cycling conditions that have been normalized across genome fragments in order to streamline laboratory handling. Abundant templates can be amplified using a strategy that uses 6 overlapping amplicons to cover the complete viral genome, whereas scarce templates can be amplified using a strategy that uses 11 overlapping amplicons of smaller size. The workflow is sequencing platform agnostic, and thus, can be used in low resource settings where access to traditional Sanger sequencing is the only option available. Given the scarcity of tools for ZIKV, this approach should facilitate epidemiological surveillance and other studies that require the generation of complete viral genomic information quickly and cost-effectively.

Spatial Analysis of Dengue Seroprevalence and Modeling of Transmission Risk Factors in a Dengue Hyperendemic City of Venezuela

Background

Dengue virus (DENV) transmission is spatially heterogeneous. Hence, to stratify dengue prevalence in space may be an efficacious strategy to target surveillance and control efforts in a cost-effective manner particularly in Venezuela where dengue is hyperendemic and public health resources are scarce. Here, we determine hot spots of dengue seroprevalence and the risk factors associated with these clusters using local spatial statistics and a regression modeling approach.

Methodology/Principal Findings

From August 2010 to January 2011, a community-based cross-sectional study of 2012 individuals in 840 households was performed in high incidence neighborhoods of a dengue hyperendemic city in Venezuela. Local spatial statistics conducted at household- and block-level identified clusters of recent dengue seroprevalence (39 hot spot households and 9 hot spot blocks) in all neighborhoods. However, no clusters were found for past dengue seroprevalence. Clustering of infection was detected at a very small scale (20-110m) suggesting a high disease focal aggregation. Factors associated with living in a hot spot household were occupation (being a domestic worker/housewife (P = 0.002), lower socio-economic status (living in a shack (P<0.001), sharing a household with <7 people (P = 0.004), promoting potential vector breeding sites (storing water in containers (P = 0.024), having litter outdoors (P = 0.002) and mosquito preventive measures (such as using repellent, P = 0.011). Similarly, low socio-economic status (living in crowded conditions, P<0.001), having an occupation of domestic worker/housewife (P = 0.012) and not using certain preventive measures against mosquitoes (P<0.05) were directly associated with living in a hot spot block.

Conclusions/Significance

Our findings contribute to a better comprehension of the spatial dynamics of dengue by assessing the relationship between disease clusters and their risk factors. These results can inform health authorities in the design of surveillance and control activities. Focalizing dengue control measures during epidemic and inter-epidemic periods to disease high risk zones at household and neighborhood-level may significantly reduce virus transmission in comparison to random interventions.

Dengue is a mosquito-borne viral disease of global impact. In Venezuela, dengue is endemic with the co-circulation of the 4 viral serotypes and has become one of the most important public health problems of urban areas. During 2010 and 2011, a baseline cross-sectional study was carried out as part of a dengue prospective cohort study. We enrolled 2012 individuals aged 5–30 years living in 840 households within 3 neighbourhoods in Maracay, one of the cities with the highest number of reported dengue cases in Venezuela. Serological data were obtained through blood sample collections prior to informed consent. Analyses of risk-maps at a fine scale were carried out to detect dengue seroprevalence hot spots (areas of greater transmission) within these neighborhoods and to relate them with potential transmission risk factors. Recent dengue infection clustered within and around households and blocks (radius 20-110m), suggesting the relevant spatial scale at which disease transmission occurs in the studied area. People that lived within these hot spots were poorer and had more man-made potential mosquito breeding sites in and around their premises. Focalizing dengue control measures to infection high risk zones may result in a more cost effective approach of dengue surveillance and control. Spatial statistics analyses are powerful tools to identify the past and the actual distribution of dengue, localize high risk areas and help focalizing control measures.

Dengue in Latin America: Systematic Review of Molecular Epidemiological Trends

Dengue, the predominant arthropod-borne viral disease affecting humans, is caused by one of four distinct serotypes (DENV-1, -2, -3 or -4). A literature analysis and review was undertaken to describe the molecular epidemiological trends in dengue disease and the knowledge generated in specific molecular topics in Latin America, including the Caribbean islands, from 2000 to 2013 in the context of regional trends in order to identify gaps in molecular epidemiological knowledge and future research needs. Searches of literature published between 1 January 2000 and 30 November 2013 were conducted using specific search strategies for each electronic database that was reviewed. A total of 396 relevant citations were identified, 57 of which fulfilled the inclusion criteria. All four dengue virus serotypes were present and co-circulated in many countries over the review period (with the predominance of individual serotypes varying by country and year). The number of countries in which more than one serotype circulated steadily increased during the period under review. Molecular epidemiology data were found for Argentina, Bolivia, Brazil, the Caribbean region, Colombia, Ecuador, Mexico and Central America, Paraguay, Peru and Venezuela. Distinct lineages with different dynamics were found in each country, with co-existence, extinction and replacement of lineages occurring over the review period. Despite some gaps in the literature limiting the possibility for comparison, our review has described the molecular epidemiological trends of dengue infection. However, several gaps in molecular epidemiological information across Latin America and the Caribbean were identified that provide avenues for future research; in particular, sequence determination of the dengue virus genome is important for more precise phylogenetic classification and correlation with clinical outcome and disease severity.

The wide distribution of the mosquito vector and the co-circulation of multiple dengue virus serotypes has led to increases in the incidence of dengue in the Americas, where it is a major public health concern. Identifying molecular epidemiological trends may help to identify the reasons for the re-emergence of dengue across Latin America and the Caribbean, and, in turn, enable disease control and management. We conducted this review using well defined methods to search for and identify relevant research according to predetermined inclusion criteria. The objective was to obtain a clearer understanding of changes occurring within dengue serotypes that have resulted in substantial genetic diversity and the emergence of endemic and epidemic strains in different parts of the region. There remain fundamental gaps in our understanding of the epidemiological and evolutionary dynamics of dengue and its relation with disease, and it is not possible to correlate accurately spatial or temporal trends in disease epidemiology, disease severity, or the genetic diversity of DENV. It is important to maintain comprehensive epidemiological surveillance throughout the region (including sequencing of viral strains) to detect new DENV lineages and to understand the regional patterns of DENV dissemination.

Targeted full-genome amplification and sequencing of dengue virus types 1-4 from South America

We report optimized workflows for full-genome sequencing of dengue viruses (DENVs) 1-4. Based on alignments of publicly available complete genomes we modified and expanded existing primers sets to amplify DENV genotypes that were previously difficult or impossible to sequence. We also report improvements to streamline laboratory handling, including a dual amplification strategy for easy and difficult to sequence "high-copy" and "low-copy" templates, respectively, and normalization of PCR cycling conditions across serotypes. High-copy templates can be sequenced following amplification of as few as 5 overlapping segments covering the complete viral genome, whereas low-copy templates can be sequenced following amplification of no more than 10 overlapping segments of smaller size. These changes have been validated using a balanced set of wild-type DENV genomes (11 of DENV1, 14 of DENV2, 13 of DENV3 and 7 of DENV4) derived from human serum samples collected throughout South America over the past 15 years. The changes described enable generation of complete DENV genomes from wild-type samples without the need for viral enrichment via passaging through laboratory cell lines. This should facilitate quick and cost-effective generation of DENV full-genome sequences of the type needed for accurate epidemiological surveillance and thorough evolutionary studies of wild-type DENVs.

Dengue seroprevalence and risk factors for past and recent viral transmission in Venezuela: a comprehensive community-based study

Dengue transmission in Venezuela has become perennial and a major public health problem. The increase in frequency and magnitude of recent epidemics prompted a comprehensive community-based cross-sectional study of 2,014 individuals in high-incidence neighborhoods of Maracay, Venezuela. We found a high seroprevalence (77.4%), with 10% of people experiencing recent infections. Multivariate logistic regression analysis showed that poverty-related socioeconomic factors (place and duration of residence, crowding, household size, and living in a shack) and factors/constraints related to intradomiciliary potential mosquito breeding sites (storing water and used tires) were linked with a greater risk of acquiring a dengue infection. Our results also suggest that transmission occurs mainly at home. The combination of increasingly crowded living conditions, growing population density, precarious homes, and water storage issues caused by enduring problems in public services in Maracay are the most likely factors that determine the permanent dengue transmission and the failure of vector control programs.

First dengue haemorrhagic fever epidemic in the Americas, 1981: insights into the causative agent

Historical records describe a disease in North America that clinically resembled dengue haemorrhagic fever during the latter part of the slave-trading period. However, the dengue epidemic that occurred in Cuba in 1981 was the first laboratory-confirmed and clinically diagnosed outbreak of dengue haemorrhagic fever in the Americas. At that time, the presumed source of the dengue type 2 strain isolated during this epidemic was considered controversial, partly because of the limited sequence data and partly because the origin of the virus appeared to be southern Asia. Here, we present a molecular characterisation at the whole-genome level of the original strains isolated at different time points during the epidemic. Phylogenetic trees constructed using Bayesian methods indicated that 1981 Cuban strains group within the Asian 2 genotype. In addition, the study revealed that viral evolution occurred during the epidemic - a fact that could be related to the increasing severity from month to month. Moreover, the Cuban strains exhibited particular amino acid substitutions that differentiate them from the New Guinea C prototype strain as well as from dengue type 2 strains isolated globally.

Spatiotemporal characterizations of dengue virus in mainland China: insights into the whole genome from 1978 to 2011

Temporal-Spatial of dengue virus (DENV) analyses have been performed in previous epidemiological studies in mainland China, but few studies have examined the whole genome of the DENV. Herein, 40 whole genome sequences of DENVs isolated from mainland China were downloaded from GenBank. Phylogenetic analyses and evolutionary distances of the dengue serotypes 1 and 2 were calculated using 14 maximum likelihood trees created from individual genes and whole genome. Amino acid variations were also analyzed in the 40 sequences that included dengue serotypes 1, 2, 3 and 4, and they were grouped according to temporal and spatial differences. The results showed that none of the phylogenetic trees created from each individual gene were similar to the trees created using the complete genome and the evolutionary distances were variable with each individual gene. The number of amino acid variations was significantly different (p = 0.015) between DENV-1 and DENV-2 after 2001; seven mutations, the N290D, L402F and A473T mutations in the E gene region and the R101K, G105R, D340E and L349M mutations in the NS1 region of DENV-1, had significant substitutions, compared to the amino acids of DENV-2. Based on the spatial distribution using Guangzhou, including Foshan, as the indigenous area and the other regions as expanding areas, significant differences in the number of amino acid variations in the NS3 (p = 0.03) and NS1 (p = 0.024) regions and the NS2B (p = 0.016) and NS3 (p = 0.042) regions were found in DENV-1 and DENV-2. Recombination analysis showed no inter-serotype recombination events between the DENV-1 and DENV-2, while six and seven breakpoints were found in DENV-1 and DENV-2. Conclusively, the individual genes might not be suitable to analyze the evolution and selection pressure isolated in mainland China; the mutations in the amino acid residues in the E, NS1 and NS3 regions may play important roles in DENV-1 and DENV-2 epidemics.

Performance of commercial dengue NS1 ELISA and molecular analysis of NS1 gene of dengue viruses obtained during surveillance in Indonesia

Background

Early diagnosis of dengue infection is crucial for better management of the disease. Diagnostic tests based on the detection of dengue virus (DENV) Non Structural Protein 1 (NS1) antigen are commercially available with different sensitivities and specificities observed in various settings. Dengue is endemic in Indonesia and clinicians are increasingly using the NS1 detection for dengue confirmation. This study described the performance of Panbio Dengue Early NS1 and IgM Capture ELISA assays for dengue detection during our surveillance in eight cities in Indonesia as well as the genetic diversity of DENV NS1 genes and its relationship with the NS1 detection.

Methods

The NS1 and IgM/IgG ELISA assays were used for screening and confirmation of dengue infection during surveillance in 2010–2012. Collected serum samples (n = 440) were subjected to RT-PCR and virus isolation, in which 188 samples were confirmed for dengue infection. The positivity of the ELISA assays were correlated with the RT-PCR results to obtain the sensitivity of the assays. The NS1 genes of 48 Indonesian virus isolates were sequenced and their genetic characteristics were studied.

Results

Using molecular data as gold standard, the sensitivity of NS1 ELISA assay for samples from Indonesia was 56.4% while IgM ELISA was 73.7%. When both NS1 and IgM results were combined, the sensitivity increased to 89.4%. The NS1 sensitivity varied when correlated with city/geographical origins and DENV serotype, in which the lowest sensitivity was observed for DENV-4 (19.0%). NS1 sensitivity was higher in primary (67.6%) compared to secondary infection (48.2%). The specificity of NS1 assay for non-dengue samples were 100%. The NS1 gene sequence analysis of 48 isolates revealed the presence of polymorphisms of the NS1 genes which apparently did not influence the NS1 sensitivity.

Conclusions

We observed a relatively low sensitivity of NS1 ELISA for dengue detection on RT-PCR-positive dengue samples. The detection rate increased significantly when NS1 data was combined with IgM. In our study, the low sensitivity of NS1 antigen detection did not relate to NS1 genetic diversity. Rather, the performance of the NS1 antigen test was affected by the infection status of patients and geographical origin of samples.

Origin and distribution of divergent dengue virus: novel database construction and phylogenetic analyses

Dengue virus (DENV), a mosquito-borne agent that exists as four serotypes (DENV-1–4), induces dengue illness. DENV has a positive-sense, ssRNA genome of approximately 11 kb that encodes a capsid protein, a premembrane protein and an envelope glycoprotein, in addition to seven nonstructural proteins. These individual genes show sequence variations that can be analyzed phylogenetically to yield several genotypes within each serotype. Here, the sequences of individual DENV genes were collected and used to construct a novel DENV database. This database was then used to characterize the evolution of individual genotypes in several countries. Interestingly, the database provided evidence for recombination between two or three different genotypes to yield new genotypes. This novel database will be available on the internet and is expected to be highly useful for dengue genetic studies, including phylogenetic analyses.

Diversity and composition of dengue virus type 2 in Venezuela

Dengue is a mosquito-borne disease caused by four closely related dengue virus (genus Flavivirus)serotypes (DENV-1–4). The clinical outcomes vary from mild febrile illness to life-threatening haemorrhagic manifestations. DENVs are endemic in the tropics and subtropics globally and currently no specific treatment or vaccines are available. In Venezuela, the American-Asian genotype of DENV-2 is the most prevalent and has been associated with severe disease outcomes.We aimed to follow-up the molecular epidemiology of DENV-2 in Venezuela to investigate if the evolution of the virus has remained the same throughout time or if the same dynamics documented in Brazil (hyperendemic co-circulation) also occurred. The results show that whereas the epidemiology of DENV in several endemic areas is characterized by serotype replacements through time, in Venezuela the American-Asian genotype DENV-2 has evolved into several genetic lineages and has remained in hyperendemic co-circulation with the other serotypes.

Understanding the dengue viruses and progress towards their control

Traditionally, the four dengue virus serotypes have been associated with fever, rash, and the more severe forms, haemorrhagic fever and shock syndrome. As our knowledge as well as understanding of these viruses increases, we now recognise not only that they are causing increasing numbers of human infections but also that they may cause neurological and other clinical complications, with sequelae or fatal consequences. In this review we attempt to highlight some of these features in the context of dengue virus pathogenesis. We also examine some of the efforts currently underway to control this "scourge" of the tropical and subtropical world.