Detection Of Dengue Virus Research Articles

Evaluation of coinfection between SARS-CoV-2 and dengue virus in São Luís/MA

The COVID-19 pandemic has become a global public health emergency, especially in subtropical regions endemic for arboviruses. During the acute phase of the disease, Dengue and COVID-19 present similar laboratory profiles and symptomatology, complicating clinical diagnosis. This study analyzed the occurrence of coinfections between dengue virus and SARS-CoV-2 in patients treated at a laboratory in São Luís, Maranhão. A total of 150 random serum samples from patients, collected between April and May 2020, tested positive for IgM/IgA antibodies against SARS-CoV-2. For the detection of dengue virus (DENV), reactions were standardized using specific primers for each serotype (1-4). Subsequently, cDNA amplification was performed by conventional PCR, and the amplicons were analyzed by agarose gel electrophoresis. Through this study, it was possible to identify one sample (0.6%) positive for the DENV-4 serotype. This study validates the possibility of coinfections in dengue-endemic areas.

B-215 Evaluating RT-qPCR for Dengue Virus Detection: Outcomes of a Brazilian External Quality Assessment Program

Abstract Background Dengue virus (DENV), responsible for a prevalent arthropod-borne viral illness, poses a substantial public health challenge worldwide. Clinically, DENV's manifestation often resembles that of other arboviruses, resulting in frequent healthcare visits and complicating the early diagnosis, which is critical for patient management. While virus isolation is a viable method, RT-qPCR assays yield significantly quicker results. Rapid immunochromatographic tests are available; yet, RT-qPCR not only matches their sensitivity but also provides distinct advantages in clinical laboratory settings. These include higher throughput and integrated, traceable quality control within each routine, offering less subjective and more dependable results. Maintaining high diagnostic standards for DENV is imperative. External quality assessment programs (EQAP) play a key role in enhancing laboratory diagnostic capabilities by monitoring and assessing diagnostic methods. This study evaluates the diagnostic efficacy of RT-qPCR for DENV using data from an EQAP conducted by a Brazilian provider, accredited by ABNT NBR ISO/IEC 17043:2011. Methods The quality control samples comprised lyophilized suspensions containing viable DENV particles, grown on vero cells (BCRJ 0245/ATCC CCL-81) under BSL-3 conditions. From February 2017 to November 2022, twenty-four EQAP survey rounds were carried out, each encompassing three samples, culminating in 1,153 data points. The evaluation metrics included participant numbers, adequacy percentage, sensitivity, specificity, and the incidence of false positives and negatives. The Mann-Kendall test assessed trends in these metrics over the survey rounds. The RT-qPCR kits employed by participants were classified either as in-vitro diagnostic (IVD) or as laboratory-developed tests (LDT). Kits that demonstrated high performance in terms of adequacy, sensitivity, and specificity were identified and listed. Results The number of laboratories participating has increased. Starting with four in 2017, the program expanded to 28 by 2022. Laboratory accuracy was high during the evaluation period, with a median of 99% (97.8% in 2017 and 99.2% in 2022). The Mann-Kendall test indicated a significant trend of increased accuracy (p<0.001). Specificity remained stable at 98.8%, while sensitivity improved, with a median of 99.4%—rising from 93.3% in 2017 to 100% in 2022 (p<0.001). Only three false negatives were reported over three separate rounds, and six false positives were reported across four rounds. Both LDT and IVD RT-qPCR kits demonstrated high accuracy (99.4% and 98.4%, respectively). Biomanguinhos ZDC, Viasure ZDC, and ZDC Multiplex kits all showed 100% adequacy, sensitivity, and specificity. Conclusions This study highlights the increasing adoption of RT-qPCR for DENV detection, as evidenced by the growing number of laboratories in the EQAP program and the consistently high adequacy rates from 2017 to 2022. Nonetheless, the number of participating laboratories remains relatively small for a vast tropical country like Brazil. The high sensitivity and specificity, along with the infrequency of false results, underscore its effectiveness. The superior performance of certain kits suggests possible advancements in DENV diagnosis, contributing to global public health initiatives against this arboviral disease.

Bimetallic Au-Ag Reduced Graphene Oxide Nanostructures for Enhanced Detection of Dengue Virus E Protein

The development of highly sensitive and specific diagnostic tools for early-stage detection of dengue virus (DENV) is critical for effective outbreak management, particularly in resource-limited settings. In this study, we report a novel electrochemical immunosensor based on bimetallic gold silver (Au-Ag) nanoparticles integrated with reduced graphene oxide (rGO) for the detection of dengue virus envelope (E) protein. The Au-Ag bimetallic nanostructures exhibit superior electron transfer kinetics and enhanced electrocatalytic activity, while rGO serves as an excellent platform due to its large surface area and high conductivity. This synergistic combination improves antigen-antibody interactions and significantly boosts sensor performance. The immunosensor demonstrated a broad linear detection range of 100 ag ml−1 to 10 ng ml−1, with a high correlation coefficient (R2 = 0.98519). It achieved an ultra-low limit of detection (LOD) of 4.959 ag ml−1 for DENV E protein, outperforming existing detection methods. These findings highlight the potential of the Au-Ag- rGO-based immunosensor as a promising tool for point-of-care diagnosis, enabling rapid and cost-effective disease management and control.

Diagnostic Accuracy of Five Molecular Assays for the Detection of Dengue Virus.

Background and Objectives: The steady spread of dengue virus (DENV) poses a profound public health threat worldwide. Reverse transcription real-time polymerase chain reaction (RT2-PCR) has been increasingly recognized as a reference method for the diagnosis of acute dengue infection. The goal of this study was to assess the diagnostic accuracy of five different RT2-PCR kits for the detection of DENV in a historically processed set of sera samples. Materials and Methods: In this retrospective study, 25 sera samples from routinely processed unique adult patients with a known DENV status (previously tested in both molecular and serological assays) were tested in parallel using four conventional (RealStar Dengue PCR Kit 3.0, Clonit'ngo Zika, Dengue & Chikungunya, BioPerfectus Zika Virus/Dengue Virus/Chikungunya Virus Real Time PCR Kit and Novaplex Tropical fever virus) and one sample-to-result (STANDARD M10 Arbovirus Panel) RT2-PCR assays. Additionally, an end-point dilution analysis was conducted in quintuplicate on six serial dilutions of an RNA preparation obtained from a culture-grown DENV serotype 1 strain for a total of 150 tests. Results: The overall accuracy of the evaluated tests ranged from 84% to 100%. In particular, the sensitivity of three conventional RT2-PCR assays (RealStar, Clonit'ngo and Novaplex) was 100% (95% CI: 79.6-100%), while it was lower (73.3%; 95% CI: 48.1-89.1%) for the BioPerfectus kit. The sample-to-result STANDARD M10 panel performed comparatively well, showing a sensitivity of 92.9% (95% CI: 68.5-98.7%). No false positive results were registered in any assay. The end-point dilution analysis suggested that the RealStar kit had the lowest limit of detection. Conclusions: Available RT2-PCR kits for the detection of DENV are highly specific and generally sensitive and, therefore, their implementation in diagnostic pathways is advisable.

Electropolymerized InZnSe@PtAg quantum dots@molecularly imprinted polymer on screen-printed carbon electrodes for the ultrasensitive detection of NS1 dengue virus protein with smartphone-based sensing in saliva

According to the World Health Organization (WHO), an estimated 100–400 million cases of dengue virus (DENV) infections are recorded annually with half of the global population being at risk of infection. Currently, there is no known treatment for DENV; however, early, rapid and accurate (sensitive and selective) detection can help to alleviate fatality rates. This work reports on the novel development of a point-of-care electrochemical biosensor for DENV using nanostructured InZnSe@PtAg quantum dots (QDs)-molecularly imprinted polymer (MIP) with smartphone-based detection functionality. Highly conductive InZnSe@PtAg QDs were newly synthesized in the presence of metal precursors, organic surfactants and ligands and surface capped with glutathione (GSH) using a ligand exchange reaction. PtAg was used as an electroactive shell layer on the InZnSe QDs core surface to increase the QDs conductivity. The GSH-InZnSe@PtAg QDs were drop-casted onto screen-printed carbon electrodes (SPCEs) and electropolymerized using cyclic voltammetry (CV) in the presence of o-phenylenediamine and the template DENV. The robust electropolymerization process allowed the overcoating of the MIP layer on the QDs/SPCE, where specific DENV size and shape cavities were created. Under optimal experimental conditions, DENV was rapidly, selectively and ultra-sensitively detected. Using differential pulse voltammetry (DPV), quantitative rebinding of DENV on the MIP@QDs/SPCE surface led to a steady decrease of the anodic peak current and a limit of detection of 1.36 pg/mL was obtained for DENV detection. Using a hand-held smartphone-based potentiostat, DENV was successfully detected in human saliva with satisfactory analytic recoveries.

Dengue Hemorrhagic Fever in Quang Nam Province (Vietnam) from 2020 to 2022-A Study on Serotypes Distribution and Immunology Factors.

Background: Dengue hemorrhagic fever (DHF) is the most prevalent and fastest-growing vector-borne disease globally, with symptoms ranging from mild to severe and, in some cases, fatal. Quang Nam province in Vietnam can serve as a model for dengue epidemiological study, as it is an endemic region for DHF with a tropical climate, which significantly constrains the health system. However, there are very few epidemiological and microbiological reports on Dengue virus (DENV) serotypes in this region due to the limited availability of advanced surveillance infrastructure. Aims of the study: This study aims to (1) assess the PCR positivity rates among hospitalized patients with clinical Dengue presentation; (2) identify the circulating DENV serotypes; and (3) assess the impact of secondary DENV infections on outbreak severity by detecting the presence of DENV-specific IgG antibodies in the plasma of DENV-infected patients. Materials and methods: Blood samples from patients clinically diagnosed with DHF and admitted to Quang Nam General Hospital (2020-2022) were analyzed. RNA extraction was performed using the NKDNA/RNAprep MAGBEAD kit, followed by Multiplex Reverse Transcription real-time Polymerase Chain Reaction (MLP RT-rPCR) for DENV detection and serotype identification. Positive samples were further tested for DENV-specific IgG antibodies using an enzyme-linked immunosorbent assay (ELISA). Results: The PCR positivity rate among hospitalized patients was approximately 68% throughout the study period. A significant shift in DENV serotypes was observed, with DENV-2 initially dominant and later giving way to DENV-1. IgG was detected in nearly half of the MPL RT-rPCR-positive samples, indicating secondary DENV infections. Conclusions: Our study highlights persistent dengue prevalence and dynamic shifts in DENV serotypes in Quang Nam province, emphasizing the need for improved diagnostic strategies and timely sample collection. The significant serotype shifts and the presence of IgG in hospitalized patients suggest potential severe outcomes from recurrent DENV infections, possibly linked to antibody-dependent enhancement (ADE) effect, underscoring the importance of advanced surveillance, vector control, vaccination campaigns, and public education to predict and prevent future DHF epidemics.

Aptamer-associated colorimetric reverse transcription loop-mediated isothermal amplification assay for detection of dengue virus.

Dengue is a neglected tropical disease of significant epidemiological importance in tropical and subtropical countries. Current diagnostics for this infection present challenges, such as cross-reactivity in serological tests. Finding ways to enhance the diagnosis of this disease is crucial, given the absence of specific treatments. An accurate, simple, and effective diagnosis contributes to the improved management of infected individuals. In this context, our work combines molecular biology techniques, such as isothermal loop amplification, with aptamers to detect the dengue virus in biological samples. Our method produces colorimetric results based on a color change, with outcomes available in less than 2 hours. Moreover, it requires simpler equipment compared to molecular PCR tests.

Comprehensive Analysis of Conserved B-Cell Epitopes in DENV NS1 Protein for Enhanced Rapid Diagnostic Tests Development in Indonesia

Dengue virus (DENV) constitutes a formidable public health threat within tropical and subtropical regions. The escalation of cases in Southeast Asia, notably Indonesia, is a matter of considerable concern. Timely identification of DENV infection remains imperative for efficient disease management. The non-structural protein-1 (NS1), distinguished by its heightened immunogenicity and early detectability during infection, stands as a pivotal target for diagnostic modalities. The current investigation delves into the exploration of B-cell epitopes within Indonesian DENV NS1 protein isolates, with the overarching objective of enhancing the sensitivity and specificity of early detection systems, such as the Rapid Diagnostic Test (RDT). This study has successfully delineated five B-cell epitopes that exhibit conservation across DENV serotypes within Indonesian isolates (accessions number: QBB90021.1, QBE90252.1, QBB90023.1, and UDW38833.1). These epitopes were discerned through comprehensive screening leveraging the IEDB platforms. Noteworthy variations in antigenicity, allergenicity, and toxicity profiles were observed among these identified epitopes. Molecular docking analysis substantiated a robust binding affinity between the predicted epitope and the B-cell receptor. The ensuing in silico protein-peptide docking analyses offer valuable insights into potential B-cell epitopes on the Indonesian DENV NS1 protein. The identified epitopes, particularly the SQHNYRPGY epitope characterized by its antigenic potency and non-allergenic attributes, hold promise for advancing the development of sensitive and specific RDTs tailored for DENV detection in the Indonesian context. However, it is imperative to underscore the requisite for subsequent experimental validation to affirm the efficacy of these epitopes in diagnostic applications.

Development of surface plasmon resonance sensor utilizing GaSe and WS2 for ultra-sensitive early detection of dengue virus

This manuscript introduces highly sensitive surface plasmon resonance (SPR) sensor for early detection of the dengue virus. Through extensive optimization using MATLAB, the sensor architecture is meticulously constructed with a BK7 prism, Copper (Cu) layer, Gallium selenide (GaSe), Tungsten disulphide (WS2), and a sensing medium (SM) containing blood components (infected platelets and normal platelets) to ensure optimal performance. Use of WS2 emerges as a highly effective biomolecular recognition element (BRE) layer, leading to exceptional sensor capabilities. The proposed sensor achieves a peak sensitivity (S) of 303.28 (˚/RIU) and a resonance angle shift (∆θres.) of 10˚ specifically during the detection of infected platelets. Computational modeling using COMSOL Multiphysics validates the ability of the sensor to generate an intense electric field with a magnitude of 1.68×105 (V/m) and a penetration depth (PD) extending to 153.24 nm in the SM. This unique combination of PD and enhanced performance parameters positions the proposed SPR biosensor as a promising tool for the early-stage detection of the dengue virus.

Dengue dynamics: Prognostic and disease monitoring through molecular and serological profiling of clinical isolates.

Dengue fever is a mosquito-bome illness that affects millions of people worldwide every year. With no vaccination available, early detection and treatment are critical. It is found in 112 countries and poses a risk to travellers, particularly in metropolitan areas. Laboratory diagnoses vary according to objectives, resources, and schedule, with sensitivity and specificity must be balanced for effective testing. The current study is a cross-sectional diagnostic study and samples from suspected patients of dengue was collected from May to November 2023 and transported to laboratory. RT-PCR and Dengue Duo Rapid test diagnosis techniques were used and total 48 clinical samples were included in this study. A total of 48 clinical samples were collected. Blood was collected from the suspected cases of dengue and further subjected to different molecular and serological parameters. Serum was separated from all blood samples. RNA was isolated by silica column extraction method which is further utilized as a template for amplification and detection of dengue serotyping. Master Mix was prepared for the amplification and detection of dengue virus by Rotor-Gene Q Real-Time PCR Machine and further serological profiling of positive dengue cases was studied by conventional PCR. Our laboratory effectively standardized an RT-PCR-based approach for molecular identification of dengue virus in clinical specimens. This adaptive technique, which uses numerous primer sets, displayed good specificity and sensitivity in serotype detection. The technology provides for quick and reliable identification of dengue virus infections, allowing for targeted treatment and preventative actions for successful disease management in highly populated regions.

Molecular surveillance for dengue serotypes among the population living in Moyen-Ogooué province, Gabon; evidence of the presence of dengue serotype 1

BackgroundDespite dengue virus (DENV) outbreak in Gabon a decade ago, less is known on the potential circulation of DENV serotypes in the country. Previous studies conducted in some areas of the country, are limited to hospital-based surveys which reported the presence of some cases of serotype 2 and 3 seven years ago and more recently the serotype 1. As further investigation, we extend the survey to the community of Moyen Ogooué region with the aim to assess the presence of the dengue virus serotypes, additionally to characterize chikungunya (CHIKV) infection and describe the symptomatology associated with infections.MethodA cross-sectional survey was conducted from April 2020 to March 2021. The study included participants of both sexes and any age one year and above, with fever or history of fever in the past seven days until blood collection. Eligible volunteers were clinically examined, and blood sample was collected for the detection of DENV and CHIKV using RT-qPCR. Positive samples were selected for the target sequencing.ResultsA total of 579 volunteers were included. Their mean age (SD) was 20 (20) years with 55% of them being female. Four cases of DENV infection were diagnosed giving a prevalence of 0.7% (95%CI: 0.2–1.8) in our cohort while no case of CHIKV was detected. The common symptoms and signs presented by the DENV cases included fatigue, arthralgia myalgia, cough, and loss of appetite. DENV-1was the only virus detected by RT-qPCR.ConclusionOur results confirm the presence of active dengue infection in the region, particularly DENV-1, and could suggest the decline of DENV-2 and DENV-3. Continuous surveillance remains paramount to comprehensively describe the extent of dengue serotypes distribution in the Moyen-Ogooué region of Gabon.

Diagnostic performance of the bioline dengue duo rapid test on symptomatic patients assisted at Armed Forces Hospital (Hfa) in Brasília, Brazil.

Dengue necessitates accurate diagnosis. Rapid tests such as Bioline™ DENGUE DUO have gained traction, but validation in specific populations is essential. This study aimed to evaluate the performance of the Bioline™ test, alongside assessing the socio-epidemiological profile of symptomatic patients in a Brasília Military Hospital. The serum of 404 symptomatic patients was analyzed by the Bioline™ DENGUE DUO test, followed by Dengue virus detection and discrimination of the four serotypes by RT-qPCR. Accuracy was assessed using parameters including sensitivity (S), specificity (E), positive and negative predictive values (PPV and NPV), and positive (RV +) and negative (RV-) likelihood ratios. The NS1 component exhibited a sensitivity of 70.37%, a specificity of 97.30%, and an overall efficiency of 90.10% when compared to RT-qPCR as the gold standard. The IgM component demonstrated a sensitivity of 26.85%, a specificity of 89.53%, and an overall efficiency of 72.77% when compared to RT-qPCR as the gold standard. The IgG component demonstrated a sensitivity of 23.15%, a specificity of 68.92%, and an overall efficiency of 56.68% when compared to RT-qPCR as the gold standard. Several rapid tests are commercially available. However, considering variations across regions and demographic groups, it is important to question their accuracy in specific populations. Rapid tests are important screening tools, but they can have limitations for the certainty of diagnosis. Bioline™ DENGUE DUO displayed good specificity, but sensitivity was slightly below optimal levels. While helpful for confirming dengue, improvements are needed to effectively rule out the disease.

Evaluating laboratory performance in Dengue virus detection by using RT-qPCR: Analysis of a Brazilian external quality assessment program results

Evaluating laboratory performance in Dengue virus detection by using RT-qPCR: Analysis of a Brazilian external quality assessment program results

Broad-spectrum dengue virus detection using the commercial RealStar dengue RT-PCR kit 3.0 (Altona) and an in-house combined real-time RT-PCR assay

In endemic areas, the genetic diversity among co-circulating dengue virus (DENV) strains is considerable and new, highly divergent strains are identified on a regular basis. It is thus critical to ensure that molecular diagnostic tools effectively detect virus genomes even in case of important genetic variation. Here, we tested both the pan-DENV detection capacity and the limit of detection of two real-time RT-PCR assays: (i) the commercial RealStar Altona 3.0 system and (ii) a laboratory developed test (LDT) combining two RT-PCR systems in a single reaction tube (DenAllDUO). We used a panel of DENV strains representative of the genetic diversity within DENV species, combined with three in vitro transcribed RNAs as surrogates for unavailable strains corresponding to recently discovered strains with substantial genetic divergence: DENV serotype 1 (DENV-1) Brun2014, DENV-2 QML22 and DENV-4 DKE121. Both systems (i) targeted the genome 3′ untranslated region, (ii) displayed a broad detection spectrum, encompassing most of DENV species diversity, and (iii) detected the three aforementioned divergent strains. DenAllDUO detected all the strains tested, whereas the RealStar system failed to detect strains from DENV-4 genotype III. Altogether, our findings support the value of these two RT-PCR systems as part of the Dengue diagnostic arsenal.

Low Rate of Asymptomatic Dengue Infection Detected in Coastal Kenya Using Pooled Polymerase Chain Reaction Testing.

Asymptomatic dengue virus (DENV) infections have important public health implications but are challenging to identify. We performed a cross-sectional study of reverse transcription quantitative polymerase chain reaction on pooled sera of asymptomatic individuals from the south coast of Kenya at two time periods to identify cases of asymptomatic viremia. Among 2,460 samples tested in pools of 9 or 10, we found only one positive case (0.04% incidence). Although pooling of samples has the potential to be a cost-effective and time-efficient method for asymptomatic DENV detection, mass cross-sectional pooled testing may not provide accurate data on rates of asymptomatic infection, likely owing to a decrease in the sensitivity with pooling of samples, a short period of viremia, or testing in the absence of an outbreak.

Increased threat of urban arboviral diseases from Aedes aegypti mosquitoes in Colombia

ObjectivesOur study targets the potential of the local urban mosquito Aedes aegypti to experimentally transmit chikungunya virus (CHIKV), dengue virus (DENV), yellow fever virus (YFV), and Zika virus (ZIKV). MethodsWe collected eggs and adults of Ae. aegypti in Medellín, Colombia (from February to March 2020) for mosquito experimental infections with DENV, CHIKV, YFV and ZIKV and viral detection using the BioMark Dynamic arrays system. ResultsWe show that Ae. aegypti from Medellín was more prone to become infected, to disseminate and transmit CHIKV and ZIKV than DENV and YFV. ConclusionsThus, in Colombia, chikungunya is the most serious threat to public health based on our vector competence data.

Molecular Detection and Genotyping of Dengue Viruses: Current Techniques and Future Prospect

The Dengue virus is a prevalent mosquito-borne disease, and its global incidence has been steadily increasing due to the favorable environmental conditions that promote mosquito breeding, primarily influenced by rising temperatures. Bangladesh has been particularly hard-hit by an intense and ongoing outbreak, resulting in a surge of cases and fatalities. Effective management of this disease necessitates the implementation of robust public health measures, including rigorous surveillance and early diagnosis. While serological tests are commonly employed in clinical diagnosis, molecular methods hold a critical role in identifying the specific Dengue virus strain, thereby contributing to a more comprehensive understanding of disease severity. This article serves as an extensive review, delving into various molecular testing techniques employed for both surveillance and clinical diagnosis. It offers valuable insights for research and clinical laboratories engaged in the detection of Dengue virus RNA in mosquitoes, environmental samples, and clinical specimens. The methods covered encompass a spectrum of approaches, including conventional PCR, isothermal amplification, real-time RT-PCR, Sanger sequencing, and whole-genome sequencing, providing a holistic overview of the available techniques. These methods play pivotal roles in clinical diagnosis, outbreak analysis, vector surveillance, and vaccine development. Furthermore, the article underscores the importance of integrating these techniques into existing healthcare systems, emphasizing their significance in ensuring precise dengue diagnostics to enhance the efficiency of disease management. These molecular methods are indispensable tools that contribute to accurate diagnosis, enable effective outbreak investigation, facilitate vector surveillance, and support vaccine preparation, thereby enhancing the overall management and control of dengue, ultimately working toward mitigating its impact on public health.
 Bangladesh J Microbiol, Volume 40, Number 1, June 2023, pp 41-49

Smartphone-Integrated Wireless Portable Potentiostat to Develop 5th-Generation Dengue Pocket Aptasensor toward Portronicx-Approach.

Smartphones' widespread availability and worldwide connection are advancing the idea of mobile-based healthcare and promise to transform the business of biosensors. Biosensors based on smartphones have been investigated in several ways, including employing a smartphone in place of a detector or as an instrumental interface. The current work demonstrates the first successful detection of dengue virus using a smartphone-based pocket sensor combined with a wireless potentiostat. The platform developed comprises a smartphone, a wireless portable potentiostat, an Android app, and a three-electrode setup. The combination of portable diagnostic with electronic application is referred to as "Portronicx", and this is the first time that the term "Portronicx" has been used in a dengue sensor, so the current study has the potential to be commercialized in the market with the tag line "Portronicx-commercialization" in the future. Miniaturization improves alternative setup options in terms of instrument size, affordability, mobility, touch-mobile display, and design versatility. The current work proved the excellent combination of a wireless potentiostat with an aptasensor to detect dengue antigen within 20 s with good LOD (0.1 μg/mL) and easy to carry in their pockets. The created platform also performed effectively in human serum. This study replaced all of the instruments with a lightweight touch smartphone, paving the way for the production of fifth-generation electrochemical aptasensors, with potential implications for healthcare applications on the verge of commercialization.

Potential Way to Develop Dengue Virus Detection in Aedes Larvae as an Alternative for Dengue Active Surveillance: A Literature Review.

The burden of dengue has emerged as a serious public health issue due to its impact on morbidity, mortality, and economic burden. Existing surveillance systems are inadequate to provide the necessary data for the prompt and efficient control of dengue. Passive surveillance of dengue cases may lead to underreporting and delayed mitigation responses. Improved dengue control program requires sensitive and proactive methods for early detection of dengue. We collected and reviewed existing research articles worldwide on detecting dengue virus in Aedes species larvae. Searches were conducted in PUBMED and Google Scholar, including all the studies published in English and Bahasa Indonesia. Twenty-nine studies were included in this review in terms of assay used, positivity rate, and dengue serotype detected. The presence of dengue virus in immature mosquitoes was mostly detected using reverse transcription PCR (RT-PCR) in pooled larvae. In one study, dengue virus was detected in larvae from laboratory-infected mosquitoes using enzyme-linked immunosorbent assay (ELISA). The positivity rate of dengue virus detection ranged from 0 to 50% in field-caught larvae. Although various methods can detect the dengue virus, further research encourages the use of low-cost and less laborious methods for active surveillance of dengue in larvae.

Quantitative detection of chikungunya, Zika, and dengue viruses by one-step real-time PCR in different cell substrates.

Chikungunya (CHIKV), Zika (ZIKV), and dengue viruses (DENV) are vector-borne pathogens that cause emerging and re-emerging epidemics throughout tropical and subtropical countries. The symptomatology is similar among these viruses and frequently co-circulates in the same areas, making the diagnosis arduous. Although there are different methods for detecting and quantifying pathogens, real-time reverse transcription-polymerase chain reaction (real-time RT-qPCR) has become a leading technique for detecting viruses. However, the currently developed assays frequently involve probes and high-cost reagents, limiting access in low-income countries. Therefore, this study aims to design and evaluate a quantitative one-step RT-qPCR assay to detect CHIKV, ZIKV, and DENV with high specificity, reproducibility, and low cost in multiple cell substrates. We established a DNA intercalating green dye-based RT-qPCR test that targets nsP1 of CHIKV, and NS5 gene of ZIKV, and DENV for the amplification reaction. The assay exhibited a high specificity confirmed by the melting curve analysis. No cross-reactivity was observed between the three viruses or unspecific amplification of host RNA. The sensitivity of the reaction was evaluated for each virus assay, getting a limit of detection of one RNA copy per virus. Standard curves were constructed, obtaining a reaction efficiency of ~ 100%, a correlation coefficient (R2) of ~ 0.97, and a slope of -3.3. The coefficient of variation (CV) ranged from 0.02 to 1.43. In addition, the method was optimized for viral quantification and tested in Vero, BHK-21, C6/36, LULO, and the Aedes cell lines. Thus, the DNA intercalating green dye-based RT-qPCR assay was a highly specific, sensitive, reproducible, and effective method for detecting and quantifying CHIKV, ZIKV, and DENV in different cell substrates that could also be applied in clinical samples.