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12 pages, 558 KiB  
Article
Clinical Performance of MAGLUMI Diagnostic Tests for the Automated Detection of Dengue Virus
by Bo Peng, Zhonggang Fang, Cong Li, Kun Liu, Ting Wang, Ke Huang, Fan Yang, Yalan Huang, Chunli Wu, Yue Li, Dana Huang, Qian Zhang, Yijun Tang, Xiaolian Liu, Wei Rao and Xiaolu Shi
Viruses 2025, 17(1), 106; https://doi.org/10.3390/v17010106 - 14 Jan 2025
Abstract
Aims: The screening and diagnosis of dengue virus infection play a crucial role in controlling the epidemic of dengue fever, highlighting the urgent need for a highly sensitive, simple, and rapid laboratory testing method. This study aims to assess the clinical performance of [...] Read more.
Aims: The screening and diagnosis of dengue virus infection play a crucial role in controlling the epidemic of dengue fever, highlighting the urgent need for a highly sensitive, simple, and rapid laboratory testing method. This study aims to assess the clinical performance of MAGLUMI Denv NS1 in detecting dengue virus NS1 antigen. Methods: A retrospective study was conducted to assess the sensitivity and specificity of MAGLUMI Denv NS1 using residual samples. Dengue-confirmed and excluded samples, validated by qPCR, were subjected to testing with MAGLUMI Denv NS1 in accordance with the manufacturer’s instructions. The linear range, endogenous interference, and cross-reactivity of MAGLUMI Denv NS1 were verified, and a consistency analysis with commercial comparator products was carried out. Results: The diagnostic specificity of MAGLUMI Denv NS1 is 98.41% (62/63), and the sensitivity is 98.32% (117/119). It effectively detects various serotypes of dengue virus, with no observed endogenous interference or cross-reactivity. Additionally, the consistency of NS1, IgM, and IgG tests on the MAGLUMI platform compared to commercial comparator reagents reaches 85.71%, 99.25%, and 98.97%, respectively. Conclusions: The MAGLUMI Denv NS1 represents a highly sensitive laboratory testing method capable of enhancing the diagnostic accuracy and efficiency of dengue virus infection detection. Full article
(This article belongs to the Section Human Virology and Viral Diseases)
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<p>Study flow diagram. The MAGLUMI Denv NS1 test was validated for sensitivity and specificity using samples from 119 dengue confirmed cases and 63 dengue excluded cases. Linearity validation involved preparing samples with dilutions of NS1 antigen standard material. Cross-interference validation included samples containing endogenous interferents or potential cross-reacting substances.</p>
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<p>Reference intervals of the MAGLUMI Denv NS1 test. The tested concentrations of 6 samples (orange circles) were linearly fitted to the theoretical concentration through the least square method, generating a scatter diagram with regression line. Two curves on both sides were delineated to represent the 95% confidence interval.</p>
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39 pages, 1385 KiB  
Review
A Comprehensive Review of the Development and Therapeutic Use of Antivirals in Flavivirus Infection
by Aarti Tripathi, Shailendra Chauhan and Renu Khasa
Viruses 2025, 17(1), 74; https://doi.org/10.3390/v17010074 - 8 Jan 2025
Viewed by 783
Abstract
Flaviviruses are a diverse group of viruses primarily transmitted through hematophagous insects like mosquitoes and ticks. Significant expansion in the geographic range, prevalence, and vectors of flavivirus over the last 50 years has led to a dramatic increase in infections that can manifest [...] Read more.
Flaviviruses are a diverse group of viruses primarily transmitted through hematophagous insects like mosquitoes and ticks. Significant expansion in the geographic range, prevalence, and vectors of flavivirus over the last 50 years has led to a dramatic increase in infections that can manifest as hemorrhagic fever or encephalitis, leading to prolonged morbidity and mortality. Millions of infections every year pose a serious threat to worldwide public health, encouraging scientists to develop a better understanding of the pathophysiology and immune evasion mechanisms of these viruses for vaccine development and antiviral therapy. Extensive research has been conducted in developing effective antivirals for flavivirus. Various approaches have been extensively utilized in clinical trials for antiviral development, targeting virus entry, replication, polyprotein synthesis and processing, and egress pathways exploiting virus as well as host proteins. However, to date, no licensed antiviral drug exists to treat the diseases caused by these viruses. Understanding the mechanisms of host–pathogen interaction, host immunity, viral immune evasion, and disease pathogenesis is highly warranted to foster the development of antivirals. This review provides an extensively detailed summary of the most recent advances in the development of antiviral drugs to combat diseases. Full article
(This article belongs to the Section Viral Immunology, Vaccines, and Antivirals)
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<p>A depiction of the virus life cycle and the inhibitor sites.</p>
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<p>A depiction of the different approaches for developing antivirals against flavivirus.</p>
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13 pages, 717 KiB  
Article
Exploring Mosquito Excreta as an Alternative Sample Type for Improving Arbovirus Surveillance in Australia
by Tess R. Malcolm, Melissa J. Klein, Karolina Petkovic, Ina Smith and Kim R. Blasdell
Pathogens 2025, 14(1), 42; https://doi.org/10.3390/pathogens14010042 - 8 Jan 2025
Viewed by 426
Abstract
Current arbovirus surveillance strategies in Australia involve mosquito collection, species identification, and virus detection. These processes are labour-intensive, expensive, and time-consuming and can lead to delays in reporting. Mosquito excreta has been proposed as an alternative sample type to whole mosquito collection, with [...] Read more.
Current arbovirus surveillance strategies in Australia involve mosquito collection, species identification, and virus detection. These processes are labour-intensive, expensive, and time-consuming and can lead to delays in reporting. Mosquito excreta has been proposed as an alternative sample type to whole mosquito collection, with potential to streamline the virus surveillance pipeline. In this study, we investigated the feasibility of Aedes aegypti excreta as a sample type in the detection of Dengue virus serotype 2 (DENV2). DENV2 could be detected from as little as one DENV2-infected mosquito excreta spot, with virus levels in individual excreta spots varying within and between mosquitoes and depending highly on mosquito viral load. Detectability was improved by pooling up to 20 DENV2-infected mosquitoes and collecting excreta into liquid substrate, followed by virus concentration using magnetic nanoparticles. Virus concentration improves quantification accuracy in comparison to unconcentrated samples and increases the amount of material available for detection, expanding detection capabilities to techniques with higher limits of detection. Mosquito excreta as a sample type, coupled with magnetic virus concentration, expands the current detection toolbox for DENV2 and has the potential to improve arbovirus surveillance strategies in Australia. Full article
(This article belongs to the Section Viral Pathogens)
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<p>Excreta patterns of <span class="html-italic">Aedes aegypti</span> mosquitoes infected with DENV2 and uninfected. (<b>a</b>) DENV2-infected mosquitoes were housed individually in paper cups lined with dissolvable paper and supplied with blue-tinted sugar pads. (<b>b</b>) Representative figure of <span class="html-italic">Ae. aegypti</span> mosquito excreta after consumption of 10% sucrose supplemented with blue food dye. (<b>c</b>) Number of total excreta spots per mosquito from 7 dpi to 10 dpi. Average excreta spots per mosquito were 33.2 and 35.4 for infected and uninfected pools, respectively. Statistical significance calculated using Prism GraphPad (v9.1.2) Student’s <span class="html-italic">t</span>-test. ns indicates a <span class="html-italic">p</span> value &gt; 0.05 or not significant.</p>
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<p>Liquid collection and magnetic concentration of DENV2 from <span class="html-italic">Ae. aegypti</span> excreta. (<b>a</b>) DENV2-infected mosquitoes were housed in pools of 5, 10, and 20 in plastic cups suspended over 5 mL PBS-A. (<b>b</b>) Excreta collected from pools of 5 (blue), 10 (purple), and 20 (green) mosquitoes were concentrated using Mag4C-Lv magnetic beads. Statistical significance calculated using Prism GraphPad (v9.1.2) paired <span class="html-italic">t</span>-test, * indicates <span class="html-italic">p</span> value &lt; 0.05, ns indicates a <span class="html-italic">p</span> value &gt; 0.05 or not significant.</p>
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22 pages, 1397 KiB  
Review
Impact of Point-of-Care Testing on Diagnosis, Treatment, and Surveillance of Vaccine-Preventable Viral Infections
by Kirthika Lakshmanan and Benjamin M. Liu
Diagnostics 2025, 15(2), 123; https://doi.org/10.3390/diagnostics15020123 - 7 Jan 2025
Viewed by 530
Abstract
With the advent of a variety of vaccines against viral infections, there are multiple viruses that can be prevented via vaccination. However, breakthrough infections or uncovered strains can still cause vaccine-preventable viral infections (VPVIs). Therefore, timely diagnosis, treatment, and surveillance of these viruses [...] Read more.
With the advent of a variety of vaccines against viral infections, there are multiple viruses that can be prevented via vaccination. However, breakthrough infections or uncovered strains can still cause vaccine-preventable viral infections (VPVIs). Therefore, timely diagnosis, treatment, and surveillance of these viruses is critical to patient care and public health. Point-of-care (POC) viral diagnostics tools have brought significant improvements in the detection and management of VPVIs. These cutting-edge technologies enable prompt and accurate results, enhancing patient care by facilitating timely treatment decisions. This review delves into the advancements in POC testing, including antigen/antibody detection and molecular assays, while focusing on their impact on the diagnosis, treatment, and surveillance of VPVIs such as mpox, viral hepatitis, influenza, flaviviruses (dengue, Zika, and yellow fever virus), and COVID-19. The role of POC tests in monitoring viral infection is crucial for tracking disease progression and managing outbreaks. Furthermore, the application of POC diagnostics has shown to be vital for public health strategies. In this review, we also highlight emerging POC technologies such as CRISPR-based diagnostics and smartphone-integrated POC devices, which have proven particularly beneficial in resource-limited settings. We underscore the importance of continued research to optimize these diagnostic tools for wider global use for mpox, viral hepatitis, influenza, dengue, and COVID-19, while also addressing current challenges related to their sensitivity, specificity, availability, efficiency, and more. Full article
(This article belongs to the Section Point-of-Care Diagnostics and Devices)
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<p>Timeline of various point-of-care (POC) technologies. This timeline illustrates key advancements in POC testing technology in the past four decades. Each milestone represents a significant development in diagnostic tools and methods that has contributed to the increasing efficiency, accuracy, and accessibility of POC testing in various healthcare settings [<a href="#B11-diagnostics-15-00123" class="html-bibr">11</a>,<a href="#B12-diagnostics-15-00123" class="html-bibr">12</a>,<a href="#B13-diagnostics-15-00123" class="html-bibr">13</a>,<a href="#B17-diagnostics-15-00123" class="html-bibr">17</a>,<a href="#B18-diagnostics-15-00123" class="html-bibr">18</a>,<a href="#B19-diagnostics-15-00123" class="html-bibr">19</a>,<a href="#B20-diagnostics-15-00123" class="html-bibr">20</a>].</p>
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<p>This chart compares the advantages and disadvantages of different point-of-care (POC) technologies used to detect VPVIs. Each technology has unique characteristics that make it suitable for specific applications in clinical and field settings [<a href="#B11-diagnostics-15-00123" class="html-bibr">11</a>,<a href="#B12-diagnostics-15-00123" class="html-bibr">12</a>,<a href="#B13-diagnostics-15-00123" class="html-bibr">13</a>,<a href="#B20-diagnostics-15-00123" class="html-bibr">20</a>,<a href="#B21-diagnostics-15-00123" class="html-bibr">21</a>,<a href="#B23-diagnostics-15-00123" class="html-bibr">23</a>].</p>
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10 pages, 1925 KiB  
Article
Purine but Not Pyrimidine De Novo Nucleotide Biosynthesis Inhibitors Strongly Enhance the Antiviral Effect of Corresponding Nucleobases Against Dengue Virus
by Laurent F. Bonnac, Christine D. Dreis, Madhu Rai and Robert J. Geraghty
Molecules 2025, 30(2), 210; https://doi.org/10.3390/molecules30020210 - 7 Jan 2025
Viewed by 390
Abstract
Every year, dengue virus affects hundreds of millions of individuals worldwide. To date, there is no specific medication to treat dengue virus infections. Nucleobases, the base of a nucleoside without ribose, are understudied as potential treatments for viral infections. Antiviral nucleobases are converted [...] Read more.
Every year, dengue virus affects hundreds of millions of individuals worldwide. To date, there is no specific medication to treat dengue virus infections. Nucleobases, the base of a nucleoside without ribose, are understudied as potential treatments for viral infections. Antiviral nucleobases are converted in infected cells to their corresponding nucleoside triphosphate active form. Importantly, the conversion of nucleobases to their active nucleotide form and their antiviral effect can be enhanced when combined with de novo nucleotide biosynthesis inhibitors. In this work, we evaluated seven purine and pyrimidine nucleobases alone or combined with six purine or pyrimidine de novo nucleotide biosynthesis inhibitors, including novel prodrugs. Our study revealed that while a strong potentiation of purine nucleobases by purine de novo nucleotide biosynthesis inhibitors was observed, the pyrimidine nucleobases were not potentiated by pyrimidine de novo nucleotide biosynthesis inhibitors, possibly highlighting a significant difference between the modulation of purine versus pyrimidine de novo pathways and their impact on nucleobase potentiation. Most significant antiviral effects and potentiation were observed for Favipiravir, T-1105, and ribavirin nucleobases combined with purine nucleotide de novo synthesis inhibitors. These results are significant because drug combinations may solve the limited efficacy observed for some antiviral nucleobase drugs such as Favipiravir. Full article
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<p>FAV is converted in cells to its nucleoside triphosphate form.</p>
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<p>Mechanism behind FAV/6MMPR antiviral synergy.</p>
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<p>Pyrimidine nucleobase and nucleoside analogues and potentiators.</p>
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<p>Nucleobase and anti-metabolite combinations and effects on DENV replicon replication and cell viability. Bars for single compound treatment are gray. Stippled or hatched bars represent combination treatments. DENV BHK replicon cells were treated with compound plus vehicle (DMSO) or two compounds and evaluated for luciferase activity (left graph) and cell viability (right graph). (<b>A</b>) Single non-toxic and minimally active doses of Fav and 6MMPR or combination. (<b>B</b>) NOHC alone or combined with 6MMPR, 6-azaU, and Breq. (<b>C</b>) NAC alone or combined with 6MMPR, 6-azaU, and Breq. (<b>D</b>) 5FU alone or combined with 6MMPR, 6-azaU, and Breq. Breq = Brequinar.</p>
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<p>Flavivirus inhibition by the nucleobase 2-thiouracil (2SU) and the corresponding nucleoside 2-thiouridine (2SUridine). (<b>A</b>) Dose–response assay for inhibition of a ZIKV nanoluc reporter. Cells were inoculated with reporter virus for two hours, washed, and then compound-added. Three days later, cells were lysed, and the luciferase activity was analyzed. (<b>B</b>) DENV-induced cytopathic effects in compound-treated cells. Cells were inoculated with DENV for two hours, washed, and compound-added for five days. A neutral red assay was performed to determine cell viability. (<b>C</b>) Same as in (<b>B</b>), except the cells are not treated with virus. NITD = NITD008 a positive-control DENV inhibitor.</p>
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<p>Purine nucleobases, nucleosides, and potentiators/prodrugs.</p>
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<p>Favipiravir (Fav), T-1105, and ribavirin base (Rib) combined with 6MMPR prodrug (Prdg 2) effects on DENV replicon replication. DENV BHK replicon cells were treated with compounds indicated and three days later evaluated for luciferase activity and cell viability. The results for nucleobase plus vehicle (DMSO) were plotted with the corresponding Fav, T-1105, or Rib with 1.5 μM Prdg 2. Fav doses ranged from 500 to 2 μM; T-1105 doses ranged from 167 to 0.7 μM. Rib doses ranged from 50 to 0.1 μM. Results were plotted in GraphPad Prism, and the EC<sub>50</sub>/CC<sub>50</sub> values are listed in <a href="#molecules-30-00210-t003" class="html-table">Table 3</a>.</p>
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18 pages, 5451 KiB  
Article
Functional Verification of Differentially Expressed Genes Following DENV2 Infection in Aedes aegypti
by Xiaoli Chen, Xinyu Zhou, Xiaoxue Xie, Bo Li, Teng Zhao, Haotian Yu, Dan Xing, Jiahong Wu and Chunxiao Li
Viruses 2025, 17(1), 67; https://doi.org/10.3390/v17010067 - 6 Jan 2025
Viewed by 495
Abstract
The dengue virus (DENV) is primarily transmitted by Aedes aegypti. Investigating genes associated with mosquito susceptibility to DENV2 offers a theoretical foundation for targeted interventions to regulate or block viral replication and transmission within mosquitoes. Based on the transcriptomic analyses of the [...] Read more.
The dengue virus (DENV) is primarily transmitted by Aedes aegypti. Investigating genes associated with mosquito susceptibility to DENV2 offers a theoretical foundation for targeted interventions to regulate or block viral replication and transmission within mosquitoes. Based on the transcriptomic analyses of the midgut and salivary glands from Aedes aegypti infected with DENV2, alongside analyses of Aag2 cell infections, 24 genes potentially related to the regulation of Aedes aegypti infection with DENV2 were selected. By establishing transient transfection and overexpression models of Aedes aegypti Aag2 cells, and mosquito target gene interference models, the difference in viral load before and after treatment was compared, and the effects of DEGs on viral replication were evaluated. After overexpressing 24 DEGs in Aag2 cells, 19 DEGs showed a significant difference in DENV2 RNA copies in the cell supernatant (p < 0.05). In adult mosquitoes, knocking down defensin-A, defensin-A-like, and SMCT1 respectively reduced the DENV2 RNA copies, while knocking down UGT2B1 and ND4 respectively increased the DENV2 RNA copies. In this study, to assess the role of genes related to DENV2 replication, and transient transfection and overexpression models in Aag2 cells and mosquito gene knockdown models were established, and five genes, defensin-A, defensin-A-like, SMCT1, UGT2B1, and ND4, were found to have an impact on the replication of DENV2, providing a reference basis for studying the complex mechanism of mosquito–virus interactions. Full article
(This article belongs to the Section Invertebrate Viruses)
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<p>Plasmid vectors: (<b>a</b>) Control plasmid vector; (<b>b</b>) Experimental plasmid vector. In the plasmid vectors, the Pub promoter refers to the polyubiquitin promoter sequence from <span class="html-italic">Aedes aegypti</span>, which significantly enhances the long-term stability of gene expression. ZsGreen represents Enhanced Green Fluorescent Protein (EGFP), while DsRed indicates Red Fluorescent Protein. The CDS of DEGs represents the protein-coding sequences of the 24 selected differentially expressed genes (<a href="#viruses-17-00067-t001" class="html-table">Table 1</a>).</p>
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<p>Schematic of fluorescence detection: (<b>a</b>) Schematic of fluorescence detection for the optimized transfection ratio. DsRed represents the Red Fluorescent Protein on the plasmid. Observing red fluorescence indicates that the plasmid has been successfully transfected into the cells; (<b>b</b>) Schematic of fluorescence detection for control plasmid overexpression. EGFP represents the Enhanced Green Fluorescent Protein, and DsRed represents the Red Fluorescent Protein on the plasmid. Observing red and green fluorescence indicates that the plasmid has been successfully transfected into the cells.</p>
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<p>Aag2 cell density: (<b>a</b>) Cell density of the first experiment; (<b>b</b>) Cell density of the second experiment; (<b>c</b>) Cell density of the third experiment. <span class="html-italic">p</span> values are indicated as follows: <span class="html-italic">p</span> &lt; 0.05 (∗).</p>
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<p>Assessment of the knockdown efficiency of genes in <span class="html-italic">Aedes aegypti</span>: (<b>a</b>) The knockdown effect of 14 genes was assessed on day 1 post-interference. (<b>b</b>) The knockdown effect of 12 genes was assessed on day 1 post-interference. Columns of the same color indicate the experimental group, and the other, the negative control group. NC denotes the negative control. <span class="html-italic">p</span> values are indicated as follows: <span class="html-italic">p</span> &lt; 0.05 (∗).</p>
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<p>Assessment of the knockdown efficiency of genes (<b>left</b>) and comparison of DENV2 RNA copies (<b>right</b>) in <span class="html-italic">Aedes aegypti</span>: (<b>a</b>–<b>f</b>) Knockdown efficiency of six genes associated with DENV2 infection and replication in <span class="html-italic">Aedes aegypti</span> (<b>left</b>); (<b>g</b>–<b>l</b>) DENV2 RNA copies in <span class="html-italic">Aedes aegypti</span> before and after six genes knockdown (<b>right</b>). <span class="html-italic">p</span> values are indicated as follows: <span class="html-italic">p</span> &lt; 0.05 (∗), <span class="html-italic">p</span> &lt; 0.01 (∗∗), <span class="html-italic">p</span> &lt; 0.001 (∗∗∗), <span class="html-italic">p</span> &lt; 0.0001 (∗∗∗∗).</p>
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32 pages, 3920 KiB  
Review
Latin America’s Dengue Outbreak Poses a Global Health Threat
by Michelle Teixeira de Almeida, Davi Gabriel Salustiano Merighi, Aline Biazola Visnardi, Cauê Augusto Boneto Gonçalves, Vitor Martins de Freitas Amorim, Anielle Salviano de Almeida Ferrari, Anacleto Silva de Souza and Cristiane Rodrigues Guzzo
Viruses 2025, 17(1), 57; https://doi.org/10.3390/v17010057 - 1 Jan 2025
Viewed by 899
Abstract
Dengue fever, caused by the dengue virus (DENV), poses a significant global health challenge, particularly in tropical and subtropical regions. Recent increases in indigenous DENV cases in Europe are concerning, reflecting rising incidence linked to climate change and the spread of Aedes albopictus [...] Read more.
Dengue fever, caused by the dengue virus (DENV), poses a significant global health challenge, particularly in tropical and subtropical regions. Recent increases in indigenous DENV cases in Europe are concerning, reflecting rising incidence linked to climate change and the spread of Aedes albopictus mosquitoes. These vectors thrive under environmental conditions like temperature and humidity, which are increasingly influenced by climate change. Additionally, global travel accelerates the cross-border spread of mosquito-borne diseases. DENV manifests clinically in a spectrum from asymptomatic cases to severe conditions like dengue hemorrhagic fever and dengue shock syndrome, influenced by viral serotype and host factors. In 2024, Brazil experienced a fourfold increase in dengue cases compared to 2023, accompanied by higher mortality. Conventional control measures, such as vector control, community engagement, and vaccination, proved insufficient as climate change exacerbated mosquito proliferation, challenging containment efforts. In this regard, our review analyzes prevention measures and therapeutic protocols during the outbreak while addressing DENV transmission dynamics, clinical presentations, and epidemiological shifts. It also evaluates diagnostic strategies combining clinical assessment with serological and molecular testing, providing information to improve diagnostic and preventive measures. The global expansion of dengue-endemic regions, including outbreaks in Europe, highlights the urgent need for enhanced surveillance, proactive interventions, and international collaboration to mitigate the growing threat of Dengue and other arboviruses like West Nile, Zika, Chikungunya, Oropouche, and Yellow Fever viruses. Full article
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<p>Reproduction cycle of <span class="html-italic">Aedes</span> spp. and dengue transmission cycle. The reproduction cycle of <span class="html-italic">Aedes</span> spp. mosquitoes and the dengue transmission cycle involve several stages. Male and female mosquitoes mate (step 1), and female mosquitoes go for blood feeding for egg development (step 2). A female mosquito then bites an infected individual, acquiring the Dengue virus (step 3 and 4). This infected mosquito subsequently bites multiple healthy individuals, transmitting the virus to them (step 5). These newly infected individuals then transmit the virus to additional mosquitoes that bite them. The female mosquito lays her eggs in stagnant water sources (step 6), where the eggs hatch into larvae and develop into new mosquitoes, perpetuating the cycle (step 7). Two types of vertical DENV transmission may occur: from an infected pregnant woman to her baby, which is rare [<a href="#B41-viruses-17-00057" class="html-bibr">41</a>], and natural vertical transmission of DENV in <span class="html-italic">Ae. aegypti</span> and <span class="html-italic">Ae. albopictus</span> mosquito populations, which serves as a mechanism for viral persistence in the environment during periods unfavorable for horizontal transmission [<a href="#B22-viruses-17-00057" class="html-bibr">22</a>,<a href="#B43-viruses-17-00057" class="html-bibr">43</a>,<a href="#B44-viruses-17-00057" class="html-bibr">44</a>,<a href="#B45-viruses-17-00057" class="html-bibr">45</a>]. This last process is an important maintenance strategy for DENV circulation, ensuring the virus remains within mosquito populations even when conditions limit transmission between mosquitoes and human hosts. The figure was designed with BioRender.</p>
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<p>Distribution of the total number of dengue cases, including both confirmed cases and cases under investigation, in Latin American countries (2023–2024) and average temperature anomalies (2022–2024). (<b>a</b>) Dengue cases in Latin America exhibited significant regional variation in 2023 and from January to May 2024, with marked increases in several countries. Brazil presented a largest proportion of cases, with a notable escalation from 3,064,739 cases in 2023 to 7,253,599 cases until May of 2024. Similarly, Argentina reported an increase of dengue cases from 146,876 in 2023 to 498,091 in 2024, while Paraguay experienced an increase from 63,216 to 278,827. Nicaragua showed substantial decrease in case numbers. This figure was performed using data obtained from the Pan American Health Organization (PAHO). Graph colored based on the dengue fever cases shown in <a href="#viruses-17-00057-t001" class="html-table">Table 1</a>. (<b>b</b>) Temperature anomalies in South America in the period of 2022–2024.</p>
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<p>Distribution of the total number of dengue cases, including both confirmed cases and cases under investigation, in Latin American countries (2023–2024) and average temperature anomalies (2022–2024). (<b>a</b>) Dengue cases in Latin America exhibited significant regional variation in 2023 and from January to May 2024, with marked increases in several countries. Brazil presented a largest proportion of cases, with a notable escalation from 3,064,739 cases in 2023 to 7,253,599 cases until May of 2024. Similarly, Argentina reported an increase of dengue cases from 146,876 in 2023 to 498,091 in 2024, while Paraguay experienced an increase from 63,216 to 278,827. Nicaragua showed substantial decrease in case numbers. This figure was performed using data obtained from the Pan American Health Organization (PAHO). Graph colored based on the dengue fever cases shown in <a href="#viruses-17-00057-t001" class="html-table">Table 1</a>. (<b>b</b>) Temperature anomalies in South America in the period of 2022–2024.</p>
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<p>Geographic distribution of serotypes and dengue cases in different regions of the Americas and Brazil, 2024. (<b>a</b>) Distribution of the serotypes by country in Latin America from 2016 to November 2024 [<a href="#B57-viruses-17-00057" class="html-bibr">57</a>,<a href="#B58-viruses-17-00057" class="html-bibr">58</a>]. Latin America comprises 20 countries: Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, the Dominican Republic, Uruguay, and Venezuela. Twenty-five countries and territories reported the circulation of Dengue serotypes in the Americas. Brazil, Costa Rica, Guatemala, Honduras, Mexico, and Panama reported the simultaneous circulation of DENV-1, DENV-2, DENV-3, and DENV-4 [<a href="#B59-viruses-17-00057" class="html-bibr">59</a>,<a href="#B60-viruses-17-00057" class="html-bibr">60</a>]. In Brazil, Minas Gerais state reported the simultaneous circulation of DENV-1, DENV-2, DENV-3, and DENV-4 [<a href="#B61-viruses-17-00057" class="html-bibr">61</a>]. ND = Not divulged. (<b>b</b>) Number of probable (under investigation) and confirmed dengue cases in Brazil from January to June 2023 (blue) and 2024 (orange). Values above each column represent the combined total of cases in thousands [<a href="#B57-viruses-17-00057" class="html-bibr">57</a>]. The maps display the number of probable (panel (<b>c</b>)) and confirmed (panel (<b>d</b>)). Dengue cases across Brazilian states in 2024 [<a href="#B57-viruses-17-00057" class="html-bibr">57</a>]. (<b>e</b>) Number of deaths caused by dengue in Brazil in 2024. Confirmed DENV cases in Brazil are determined through laboratory testing and clinical–epidemiological criteria. In 2024, 37% of cases were confirmed via laboratory tests, while 63% were based on clinical–epidemiological assessment. The number of confirmed deaths was determined based on laboratory and/or clinical–epidemiological criteria. The number of dengue cases under investigation refers to those that have been officially reported.</p>
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<p>Development and evolution of Dengue symptoms in humans. Dengue progresses through three distinct clinical phases. (1) Febrile phase, which begins after the incubation period and is characterized by classic symptoms such as high fever, rash, myalgia, retro-orbital pain, nausea, and diarrhea (depicted on the left side of the figure). (2) Critical phase, which occurs as the fever starts to subside. During this period, symptoms may worsen, indicating a potential progression to a more severe condition. Symptoms include plasma leakage through capillaries, hemorrhages, shock, and liver or kidney impairment (depicted on the right side of the figure). (3) Recovery phase, where the extravasated fluid is reabsorbed, and gastrointestinal symptoms gradually reduce. This image was created based on data from references [<a href="#B85-viruses-17-00057" class="html-bibr">85</a>,<a href="#B86-viruses-17-00057" class="html-bibr">86</a>] and designed with BioRender.</p>
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<p>Tissue tropism of Dengue (DENV) and Zika (ZIKV) viruses detected in humans. The organs and body fluids where Dengue virus (DENV, left side) and Zika virus (ZIKV, right side) have been detected in humans bitten by <span class="html-italic">Ae. aegypti</span> mosquitoes carrying these viruses. The figure is based on data obtained from references [<a href="#B87-viruses-17-00057" class="html-bibr">87</a>,<a href="#B88-viruses-17-00057" class="html-bibr">88</a>,<a href="#B89-viruses-17-00057" class="html-bibr">89</a>,<a href="#B90-viruses-17-00057" class="html-bibr">90</a>] and designed with BioRender.</p>
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<p><span class="html-italic">Aedes albopictus</span> distribution in Europe. Established populations in the Mediterranean region highlight potential endemic hotspots for Dengue transmission, driven by increasingly favorable climate conditions for the proliferation of <span class="html-italic">Aedes</span> species [<a href="#B155-viruses-17-00057" class="html-bibr">155</a>].</p>
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<p>Annual count of total autochthonous dengue cases in Europe. (<b>a</b>) Annual count of total dengue autochthonous cases in Europe. The curve represents the exponential regression, showing an increase in total autochthonous cases in Europe as a function of time (in year). (<b>b</b>) Temperature anomalies in Europe in the period of 2023 to 2024.</p>
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17 pages, 4611 KiB  
Article
Identifying Allosteric Small-Molecule Binding Sites of Inactive NS2B-NS3 Proteases of Pathogenic Flaviviridae
by Hovakim Grabski, Siranuysh Grabska and Ruben Abagyan
Viruses 2025, 17(1), 6; https://doi.org/10.3390/v17010006 - 24 Dec 2024
Viewed by 455
Abstract
Dengue, West Nile, Zika, Yellow fever, and Japanese encephalitis viruses persist as significant global health threats. The development of new therapeutic strategies based on inhibiting essential viral enzymes or viral–host protein interactions is problematic due to the fast mutation rate and rapid emergence [...] Read more.
Dengue, West Nile, Zika, Yellow fever, and Japanese encephalitis viruses persist as significant global health threats. The development of new therapeutic strategies based on inhibiting essential viral enzymes or viral–host protein interactions is problematic due to the fast mutation rate and rapid emergence of drug resistance. This study focuses on the NS2B-NS3 protease as a promising target for antiviral drug development. Promising allosteric binding sites were identified in two conformationally distinct inactive states and characterized for five flaviviruses and four Dengue virus subtypes. Their shapes, druggability, inter-viral similarity, sequence variation, and susceptibility to drug-resistant mutations have been studied. Two identified allosteric inactive state pockets appear to be feasible alternatives to a larger closed pocket near the active site, and they can be targeted with specific drug-like small-molecule inhibitors. Virus-specific sequence and structure implications and the feasibility of multi-viral inhibitors are discussed. Full article
(This article belongs to the Special Issue Recent Advances in Anti-HCV, Anti-HBV and Anti-flavivirus Agents)
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Figure 1
<p>Domain organization of the polyprotein precursor encoded by different flaviviruses. Red arrows indicate the cleavage by the NS2B-NS3 protease, and blue arrows indicate the cleavage by the host cell proteases. A green box shows the two domains of the protease.</p>
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<p>The mobile structural determinants of the three states in existing crystallographic structures of NS2B-NS3 protease domains are shown by blue and orange backbone ribbons. The closed state (<b>a</b>) is exemplified by PDB ID 5YOF, the transient state (<b>b</b>) by 2FOM, and the fully opened (<b>c</b>) by 7M1V. The backbone ribbon is colored as follows: blue ribbon—mobile NS2B, gray ribbon—static NS3 core, orange ribbon—mobile NS3-pro-C-terminal hairpin. The catalytic triad is shown and labeled for reference.</p>
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<p>Structural variations within each of the closed (<b>a</b>), transient (<b>b</b>), and fully opened (<b>c</b>) states of the flaviviral NS2B-NS3-pro domains for all five flaviviruses and four Dengue subtypes under study. Some differences in residue numbers (YFV S136 instead of S135 for other viruses) are due to sequence length variations in both NS2B and NS3-pro subunits (<b>a</b>). The NS2B loop in one of the closed-state DENV-2 constructs was conformationally shifted due to an inserted linker in a crystallized construct (see a green backbone fragment in (<b>a</b>)).</p>
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<p>Allosteric pockets (AP1, AP2, and AP3) on flavivirus NS2B-NS3-pro proteins (gray surfaces) highlight conserved and variable residues. AP1 (<b>a</b>): Residues across DENV2 (black), ZIKV (green), and JEV (magenta) include highly variable sites like K74, E86, and L85. AP2 (<b>b</b>): Conserved residues in ZIKV (green) include L85, with surrounding residues contributing to structural integrity. AP3 (<b>c</b>): Variability across WNV (purple), ZIKV (green), YFV (dark yellow), and DENV3 (dark cyan) is shown, with key residues like W89, V166, and Q167. Bubble sizes reflect residue contribution to the pocket surface, with colors denoting specific viruses.</p>
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<p>Sequence conservation (%) analysis of (<b>a</b>) active site pocket (closed state), (<b>b</b>) allosteric pocket 1 (transient), and (<b>c</b>) allosteric pocket 2 (fully opened state) within various flaviviruses. The letter “P” denotes the amino acid position within the pocket. The asterisk indicates the flaviviruses used to define the amino acids in the three pockets (closed—5IDK (WNV), transient—6MO2 (DENV-2), and fully opened—7M1V (ZIKV)).</p>
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<p>Amino acid sequence conservation analysis of (<b>a</b>) active site pocket (closed state), (<b>b</b>) allosteric pocket 1 (transient), and (<b>c</b>) allosteric pocket 2 (fully opened state) among various flaviviruses. The letter “P” denotes the amino acid position within the pocket. The asterisk indicates the flaviviruses used to define the amino acids in the three pockets (closed—5IDK (WNV), transient—6MO2 (DENV-2), and fully opened—7M1V (ZIKV)). To simplify the analysis, we focused on these specific flaviviruses as representatives for the determination of amino acid residues within the pockets. Amino acids identical among all flaviviruses are outlined in black rectangles. Each flavivirus has its own local numbering for NS2B and NS3.</p>
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26 pages, 1669 KiB  
Review
Animal Models, Therapeutics, and Vaccine Approaches to Emerging and Re-Emerging Flaviviruses
by Thomas J. Baric and Z. Beau Reneer
Viruses 2025, 17(1), 1; https://doi.org/10.3390/v17010001 - 24 Dec 2024
Viewed by 976
Abstract
Flaviviruses are arthropod-borne viruses primarily transmitted through the mosquito Aedes aegypti or Culex genus of mosquitos. These viruses are predominantly found in tropical and subtropical regions of the world with their geographical spread predicted to increase as global temperatures continue to rise. These [...] Read more.
Flaviviruses are arthropod-borne viruses primarily transmitted through the mosquito Aedes aegypti or Culex genus of mosquitos. These viruses are predominantly found in tropical and subtropical regions of the world with their geographical spread predicted to increase as global temperatures continue to rise. These viruses cause a variety of diseases in humans with the most prevalent being caused by dengue, resulting in hemorrhagic fever and associated sequala. Current approaches for therapeutic control of flavivirus infections are limited, and despite recent advances, there are no approved drugs. Vaccines, available for a few circulating flaviviruses, still have limited potential for controlling contemporary and future outbreaks. Mouse models provide us with a valuable tool to test the effectiveness of drugs and vaccines, yet for many flaviviruses, well-established mouse models are lacking. In this review, we highlight the current state of flavivirus vaccines and therapeutics, as well as our current understanding of mouse models for various flaviviruses. Full article
(This article belongs to the Special Issue Zoonotic and Vector-Borne Viral Diseases)
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<p>Phylogenetic tree of various flavivirus species depicting their genetic distance. Tree was created using MUSCLE alignment of full genome sequences in Genious Prime.</p>
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<p>Diagram of flavivirus structure. (<b>A</b>) Cross section of flavivirus virion showing organization of three structural genes: Envelope (E), Premembrane, Membrane, and Capsid (C). The left side represents the immature virion, and the right side represents the mature virion. (<b>B</b>) Structure represents the symmetry in organization of the envelope dimers. (<b>C</b>) Ribbon diagram of envelope dimer with envelope domain I (EDI) in red, envelope domain 2 (EDII) in yellow, and envelope domain III (EDIII) in blue. (<b>D</b>) Side view of the envelope dimer [<a href="#B33-viruses-17-00001" class="html-bibr">33</a>].</p>
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<p>New vaccine designs. (<b>A</b>) Lipid nanoparticle delivery of mRNA-encoding nanoparticle shells with surface-expressed Zika envelope dimer proteins. (<b>B</b>) Stabilized dengue E dimers expressed on the surface of nanoparticle or CoPoP lipid vehicles [<a href="#B218-viruses-17-00001" class="html-bibr">218</a>]. (<b>C</b>) Representation of chimeric dengue envelope domain-bivalent vaccine; dengue 1 envelope residues represented in blue, and dengue 3 residues represented in pink [<a href="#B190-viruses-17-00001" class="html-bibr">190</a>].</p>
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16 pages, 9146 KiB  
Article
Tracing the Origin, Spread, and Molecular Evolution of Dengue Type 1 Cases That Occurred in Northern Italy in 2023
by Greta Romano, Guglielmo Ferrari, Antonino Maria Guglielmo Pitrolo, Francesca Rovida, Antonio Piralla and Fausto Baldanti
Pathogens 2024, 13(12), 1124; https://doi.org/10.3390/pathogens13121124 - 19 Dec 2024
Viewed by 601
Abstract
The dengue virus (DENV) is a mosquito-borne flavivirus endemic to many tropical and subtropical regions. Over the past few decades, the global incidence of dengue has risen dramatically, with the virus now present in over 100 countries, putting nearly half of the world’s [...] Read more.
The dengue virus (DENV) is a mosquito-borne flavivirus endemic to many tropical and subtropical regions. Over the past few decades, the global incidence of dengue has risen dramatically, with the virus now present in over 100 countries, putting nearly half of the world’s population at risk. This increase is attributed to several factors, including urbanization, climate change, and global travel, which facilitate the spread of both the virus and its mosquito vectors. While dengue is primarily associated with tropical regions, outbreaks in temperate areas are becoming increasingly common due to the spread of Aedes albopictus, a competent vector for DENV that can adapt to cooler climates. This study investigates the molecular dynamics and geographic evolution of DENV type 1 (DENV-1) strains isolated from 13 patients during an autochthonous outbreak in Lombardy, Northern Italy, between August and September 2023. Additionally, Aedes albopictus mosquitoes were collected from a neighboring area to assess their potential role in the outbreak. A metagenomic approach was used to recover DENV-1 consensus sequences from clinical samples. Genotype classification and phylogenetic analyses were performed using Bayesian methods and a comprehensive dataset of DENV-1 sequences from other countries. The Italian autochthonous strains clustered with South American strains collected between 2020 and 2023, specifically those belonging to genotype V, subtype D. Bayesian analysis estimated a mean evolutionary substitution rate of 8.234 × 10−4 substitutions per site per year (95% HPD interval: 7.1448 × 10−4–9.3343 × 10−4), with the time to the most recent common ancestor (tMRCA) dating back to 1972 (95% HPD interval: 1968–1976). These findings suggest the likely introduction of the virus into the region from endemic areas in South America, followed by local transmission. This study offers valuable insights into the dynamics of the DENV-1 outbreak in Lombardy, underscoring the importance of genomic surveillance in monitoring viral spread and evolution. The findings emphasize the critical need for enhanced molecular and entomological surveillance to detect and respond to emerging autochthonous DENV cases in temperate regions where competent vectors, such as Aedes albopictus, are present. Public health strategies should prioritize integrated vector management, real-time genomic monitoring, and awareness campaigns to mitigate the risk of future outbreaks. These measures are essential to address the growing threat posed by the geographic expansion of the dengue virus. Full article
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<p>Average Nucleotide Identity (ANI). Heatmap showing nucleotide similarity of DENV-1 complete CDS sequences between Italian outbreak strains. Red and white shadings represent higher (100%) and lower (99%) relative ANI percentages, respectively.</p>
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<p>Phylogenetic ML tree of DENV-1 complete genome sequences. The inner layer contains strain names, the second layer represents the origin continent followed by country names (third layer). The outer layer contains sampling dates divided in 4-year blocks. Tree nodes classify strain genotype and subtypes. Italian strains (n = 14) from the August–September 2023 outbreak are highlighted in dark red. ML: maximum likelihood.</p>
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<p>Average Nucleotide Identity (ANI). Heatmap showing nucleotide similarity of DENV-1 complete CDS sequences. The comparison was made between Italian outbreak strains vs. 26 phylogenetically nearby strains (see <a href="#pathogens-13-01124-f002" class="html-fig">Figure 2</a>): Brazil (n = 6), Peru (n = 12), Florida (n = 2), Colombia (n = 1), Cuba (n = 6). Strains on columns were arranged in clusters based on countries of origin. Sky blue and white shadings represent higher (100%) and lower (98%) relative ANI percentages, respectively. CDS: coding DNA sequence.</p>
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<p>MCC tree for dengue virus serotype 1 in study of transmission dynamics of dengue. The MCC tree was constructed using the set of representative DENV-1 sequences (n = 252) elaborated with BEAST software [<a href="#B29-pathogens-13-01124" class="html-bibr">29</a>]. Posterior probabilities ≥ 0.85 are shown in internal nodes and 98% HPD intervals are shown as red bars. The box highlights Italian strains clustering with Peruvian and Brazilian strains. CDS: coding DNA sequence; HPD: highest posterior density; MCC: maximum clade credibility.</p>
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<p>Phylogeographic diffusion of DENV-1 across Americas, Caribbean, and Europe through spatial projection of the MCC tree generated in BEAST software [<a href="#B29-pathogens-13-01124" class="html-bibr">29</a>]. The lines represent branches connecting geographic locations. The dark red line color indicates the last projection from Brazil to Lodi province where the Italian outbreak occurred. Significant non-zero rates were selected considering a country rate PP threshold (PP ≥ 0.5). MCC: maximum clade credibility, PP: posterior probability.</p>
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16 pages, 353 KiB  
Review
Emerging Arboviruses in Europe
by Anna Papa
Acta Microbiol. Hell. 2024, 69(4), 322-337; https://doi.org/10.3390/amh69040029 - 19 Dec 2024
Viewed by 824
Abstract
Viruses transmitted by arthropods (arboviruses) pose a global public health threat. Sporadic cases or outbreaks caused by West Nile virus, Crimean–Congo haemorrhagic fever virus, tick-borne encephalitis virus, and phleboviruses are often reported in Europe. Recently, they expanded their distribution in geographic areas where [...] Read more.
Viruses transmitted by arthropods (arboviruses) pose a global public health threat. Sporadic cases or outbreaks caused by West Nile virus, Crimean–Congo haemorrhagic fever virus, tick-borne encephalitis virus, and phleboviruses are often reported in Europe. Recently, they expanded their distribution in geographic areas where they had never been observed before, while tropical viruses, like Dengue, Chikungunya, and Zika, started to cause autochthonous cases and outbreaks following the return of viraemic travellers from endemic countries. The primary or secondary vectors of these viruses are established in Europe, and the incidence of arboviral diseases is expected to increase due to several anthropogenic and/or environmental factors (mainly climate change, which affects the survival and amplification of the arthropod vectors). This is an update on the emerging arboviruses in Europe, associated challenges, and future perspectives. Full article
18 pages, 4482 KiB  
Article
Discovery of Potent Dengue Virus NS2B-NS3 Protease Inhibitors Among Glycyrrhizic Acid Conjugates with Amino Acids and Dipeptides Esters
by Yu-Feng Lin, Hsueh-Chou Lai, Chen-Sheng Lin, Ping-Yi Hung, Ju-Ying Kan, Shih-Wen Chiu, Chih-Hao Lu, Svetlana F. Petrova, Lidia Baltina and Cheng-Wen Lin
Viruses 2024, 16(12), 1926; https://doi.org/10.3390/v16121926 - 17 Dec 2024
Viewed by 550
Abstract
This study investigated a library of known and novel glycyrrhizic acid (GL) conjugates with amino acids and dipeptide esters, as inhibitors of the DENV NS2B-NS3 protease. We utilized docking algorithms to evaluate the interactions of these GL derivatives with key residues (His51, Asp75, [...] Read more.
This study investigated a library of known and novel glycyrrhizic acid (GL) conjugates with amino acids and dipeptide esters, as inhibitors of the DENV NS2B-NS3 protease. We utilized docking algorithms to evaluate the interactions of these GL derivatives with key residues (His51, Asp75, Ser135, and Gly153) within 10 Å of the DENV-2 NS2B-NS3 protease binding pocket (PDB ID: 2FOM). It was found that compounds 11 and 17 exhibited unique binding patterns, forming hydrogen bonds with Asp75, Tyr150, and Gly153. Based on the molecular docking data, conjugates 11 with L-glutamic acid dimethyl ester, 17 with β-alanine ethyl ester, and 19 with aminoethantic acid methyl ester were further demonstrated as potent inhibitors of DENV-2 NS3 protease, with IC50 values below 1 μM, using NS3-mediated cleavage assay. Compound 11 was the most potent, with EC50 values of 0.034 μM for infectivity, 0.042 μM for virus yield, and a selective index over 2000, aligning with its strong NS3 protease inhibition. Compound 17 exhibited better NS3 protease inhibition than compound 19 but showed weaker effects on infectivity and virus yield. While all compounds strongly inhibited viral infectivity post-entry, compound 19 also blocked viral entry. This study provided valuable insights into the interactions between active GL derivatives and DENV-2 NS2B-NS3 protease, offering a comprehensive framework for identifying lead compounds for further drug optimization and design as NS2B-NS3 protease inhibitors against DENV. Full article
(This article belongs to the Special Issue Recent Advances in Anti-HCV, Anti-HBV and Anti-flavivirus Agents)
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<p>Synthesis of GL conjugates. Reagents and conditions: (<b>a</b>) HOBt/DCC, 5–6 h, RT; AK, Et<sub>3</sub>N, DMF or THF-DMF, 24 h, RT; (<b>b</b>) HOSu/DCC, 5–6 h, 0–5 °C; AK, Et<sub>3</sub>N, THF, 24 h, RT; (<b>c</b>) NEM, DMF, 45–50 °C, 48 h; (<b>d</b>) 1. CF<sub>3</sub>COOH, 40 min, RT; 2. DMF, NEM, RWK, 0–5 °C, 1.5 h, RT 1.5 h; 3. CF<sub>3</sub>COOH•dipeptide ester, NEM, RT, 48 h.</p>
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<p>Hierarchical clustering and interaction analysis of GL (compound <b>1</b>) and its derivatives (compounds <b>2–23</b>) with the enzymatic site of DENV-2 NS3 protease, along with their inhibitory assay results, were performed. A quantitative FRET-based cleavage assay was used to evaluate inhibitory effects. Cells expressing the FRET substrate CFP-trrg-YFP (panel <b>A</b>, <b>left</b>) were transiently transfected with pcDNA3.1_DENV-2 NS2B-NS3 (panel <b>B</b>, <b>right</b>) and treated with representative compounds at 10 μM for 48 h. FRET signaling (436–528 nm) was measured, with intensity in mock-transfected cells set as 100%. Residual inhibition in compound-treated cells was compared to untreated controls (panel <b>B</b>). A hierarchical clustering tree generated by iGEMDOCK displayed the interaction profile of the GL derivatives (panel <b>C</b>). Compounds are listed along the y-axis, while interactive residues appear on the x-axis. Residues interacting with all Group I compounds (<b>11</b>, <b>16</b>, <b>17</b>, <b>19</b>, <b>20</b>) are marked in orange. Interaction codes indicate the type of force (hydrogen bond [H] or van der Waals [V]), the location of interaction (main chain [M] or side chain [S]), and the residue type with its position in DENV-2 NS3 protease.</p>
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<p>Hierarchical clustering and interaction analysis of GL (compound <b>1</b>) and its derivatives (compounds <b>2–23</b>) with the enzymatic site of DENV-2 NS3 protease, along with their inhibitory assay results, were performed. A quantitative FRET-based cleavage assay was used to evaluate inhibitory effects. Cells expressing the FRET substrate CFP-trrg-YFP (panel <b>A</b>, <b>left</b>) were transiently transfected with pcDNA3.1_DENV-2 NS2B-NS3 (panel <b>B</b>, <b>right</b>) and treated with representative compounds at 10 μM for 48 h. FRET signaling (436–528 nm) was measured, with intensity in mock-transfected cells set as 100%. Residual inhibition in compound-treated cells was compared to untreated controls (panel <b>B</b>). A hierarchical clustering tree generated by iGEMDOCK displayed the interaction profile of the GL derivatives (panel <b>C</b>). Compounds are listed along the y-axis, while interactive residues appear on the x-axis. Residues interacting with all Group I compounds (<b>11</b>, <b>16</b>, <b>17</b>, <b>19</b>, <b>20</b>) are marked in orange. Interaction codes indicate the type of force (hydrogen bond [H] or van der Waals [V]), the location of interaction (main chain [M] or side chain [S]), and the residue type with its position in DENV-2 NS3 protease.</p>
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<p>Interactions of molecular docking of tetracycline (compound T) and the compounds <b>1</b>, <b>8</b>, <b>11</b>, <b>12</b>, <b>16</b>, <b>17</b>, <b>19</b>, and <b>20</b> into the active site of DENV-2 NS3 protease analyzed by iGEMDOCK, and drew by PyMOL. The structures are presented in a zoomed-out view (<b>A</b>) and a zoomed-in view (<b>B</b>), depicted as cartoon representations, with interactive residues highlighted as orange sticks. The docked compounds are shown in different colors in a zoomed-out view (<b>A</b>) and a zoomed-in view (<b>B</b>). Yellow dotted lines indicate the hydrogen bonds.</p>
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<p>Interactions of molecular docking of tetracycline (compound T) and the compounds <b>1</b>, <b>8</b>, <b>11</b>, <b>12</b>, <b>16</b>, <b>17</b>, <b>19</b>, and <b>20</b> into the active site of DENV-2 NS3 protease analyzed by iGEMDOCK, and drew by PyMOL. The structures are presented in a zoomed-out view (<b>A</b>) and a zoomed-in view (<b>B</b>), depicted as cartoon representations, with interactive residues highlighted as orange sticks. The docked compounds are shown in different colors in a zoomed-out view (<b>A</b>) and a zoomed-in view (<b>B</b>). Yellow dotted lines indicate the hydrogen bonds.</p>
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<p>The inhibitory effects of GL and the compounds in Group I on the proteolytic activity of DENV-2 NS2B-NS3 protease were assessed using a quantitative trans-provided cleavage FRET assay. Cells expressing the FRET substrate CFP-trrg-YFP were transfected with pcDNA3.1_DENV-2 NS2B-NS3 and treated with compounds <b>1</b> (GL), <b>8</b>, <b>11</b>, <b>16</b>, <b>17</b>, <b>19</b>, and <b>20</b> at varying concentrations for 48 h. FRET signaling (436–528 nm) was measured, with mock-transfected cells set as 100% intensity. Residual enzymatic activity was compared to untreated controls to assess inhibition (<b>A</b>), highlighting FRET signals in compound 11-treated cells (<b>B</b>). ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 compared to untreated cells expressing DENV2 NS2B3 and CYP.</p>
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<p>Inhibition of cytopathic effects induced by DENV-2 through compounds <b>11</b>, <b>17</b>, and <b>19</b>. Vero E6 cells were infected with DENV-2 at a MOI of 0.01 and treated immediately with varying concentrations of the indicated compounds. Light microscopy images were taken 96 h post-infection to capture the DENV-2-induced cytopathic effects. Scale bar = 200 µm.</p>
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<p>Inhibition of DENV-2 infectivity in vitro by active compounds. Vero E6 cells were infected with DENV-2 in the presence or absence of Compounds <b>11</b> (<b>A</b>), <b>17</b> (<b>B</b>), and <b>19</b> (<b>C</b>) at the indicated concentrations. After 96 h of incubation, the treated and infected cells were analyzed using immunofluorescence staining with anti-DENV-2 NS4B antibodies. The relative infectivity was calculated by the ratio of DENV-2 NS4B-positive cells to the total number of DAPI-stained cells. Relative inhibition activity was calculated by subtracting the residual infectivity from the full infectivity observed in untreated infected cells. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001 compared to untreated infected cells.</p>
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<p>Reduction in DENV-2 yield in vitro by active compounds. Virus yield in the culture media of cells infected with DENV-2, with or without treatment by Compounds <b>11</b> (<b>A</b>), <b>17</b> (<b>B</b>), and <b>19</b> (<b>C</b>) at the indicated concentrations, was analyzed 96 h post-treatment using the TCID50 assay. Relative virus yield inhibition was determined by subtracting the residual yield in treated/infected cells from the full yield detected in untreated infected cells. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 compared to untreated infected cells.</p>
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<p>Time-of-addition and removal assay for the antiviral action of Compounds <b>11</b> (<b>A</b>), <b>17</b> (<b>B</b>), and <b>19</b> (<b>C</b>). In pre-treatment, cells were treated with the compounds for 2 h, washed, and then infected with DENV-2 for 2 h. In co-treatment, cells were infected with DENV-2 and treated simultaneously. In post-infection, cells were first infected and then treated for 2 h. After an 18 h incubation, residual infectivity was assessed by immunofluorescence and DAPI staining. DENV-2 inhibition was calculated as 1—(NS4B-positive cells in treated/NS4B-positive cells in controls).</p>
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17 pages, 1607 KiB  
Review
Detrimental Effects of Anti-Nucleocapsid Antibodies in SARS-CoV-2 Infection, Reinfection, and the Post-Acute Sequelae of COVID-19
by Emi E. Nakayama and Tatsuo Shioda
Pathogens 2024, 13(12), 1109; https://doi.org/10.3390/pathogens13121109 - 15 Dec 2024
Viewed by 2748
Abstract
Antibody-dependent enhancement (ADE) is a phenomenon in which antibodies enhance subsequent viral infections rather than preventing them. Sub-optimal levels of neutralizing antibodies in individuals infected with dengue virus are known to be associated with severe disease upon reinfection with a different dengue virus [...] Read more.
Antibody-dependent enhancement (ADE) is a phenomenon in which antibodies enhance subsequent viral infections rather than preventing them. Sub-optimal levels of neutralizing antibodies in individuals infected with dengue virus are known to be associated with severe disease upon reinfection with a different dengue virus serotype. For Severe Acute Respiratory Syndrome Coronavirus type-2 infection, three types of ADE have been proposed: (1) Fc receptor-dependent ADE of infection in cells expressing Fc receptors, such as macrophages by anti-spike antibodies, (2) Fc receptor-independent ADE of infection in epithelial cells by anti-spike antibodies, and (3) Fc receptor-dependent ADE of cytokine production in cells expressing Fc receptors, such as macrophages by anti-nucleocapsid antibodies. This review focuses on the Fc receptor-dependent ADE of cytokine production induced by anti-nucleocapsid antibodies, examining its potential role in severe COVID-19 during reinfection and its contribution to the post-acute sequelae of COVID-19, i.e., prolonged symptoms lasting at least three months after the acute phase of the disease. We also discuss the protective effects of recently identified anti-spike antibodies that neutralize Omicron variants. Full article
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<p>Number of hospitalized patients and COVID-19-related deaths in Japan (April 2020–March 2024). Data were modified from official statistics collated by Our World in Data, “COVID-19, hospitalizations” [<a href="#B44-pathogens-13-01109" class="html-bibr">44</a>]. The numbers in red represent the official death counts sourced from the Japanese Ministry of Health, Labour and Welfare [<a href="#B45-pathogens-13-01109" class="html-bibr">45</a>] for each fiscal year from April 2020 to the end of March 2024. The Japanese government changed its COVID-19 case counting policy from including all to only limited cases reported from selected hospitals on May 8, 2023. During the period highlighted in pale green, it is speculated that the actual number of hospitalized patients may be higher than that depicted in this graph. The major variants reported during each surge, as identified by the National Institute of Infectious Disease in Japan, are also noted [<a href="#B46-pathogens-13-01109" class="html-bibr">46</a>].</p>
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<p>The schematic mechanisms of antibody dependent enhancement (ADE) of SARS-CoV-2. (<b>Left</b>) The Fc receptor-dependent ADE of infection is well documented in dengue virus infection. In the case of SARS-CoV-2 infection, it was observed only in the artificial cells ectopically expressing Fc receptors or ACE2/TMPRSS2. (<b>Middle</b>) The Fc receptor-independent ADE of infection is caused by a conformational change in S proteins upon antibody binding. Progeny virions bud into ER-Golgi intermediate compartment (ERGIC) and most N proteins are located in the cytoplasm of infected cells and released by cell death. (<b>Right</b>) ADE of cytokine production is caused by translocation of the N protein and anti-N antibody complex via Fc receptors on the surface of macrophages. The blue circles denote nuclei of cells.</p>
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<p>The fight against mutated viruses by antibody and memory B cell repertories. Different colors show the different antibody and B cell clones. “Y” s and Y on the B cells denote the antibodies in serum and B cell receptors on the surface of B cells, respectively. The short arrows represent the protective effect of antibodies in plasma, which can neutralize the viruses previously infected or vaccinated strains. The long arrows represent the process of stimulation of the selected B cell maturation followed by efficient neutralization of the variants by the produced antibodies.</p>
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<p>Characteristics of anti-spike (S) and anti-nucleocapsid (N) antibodies. ADE: Antibody dependent enhancement.</p>
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<p>Factors influencing the severity of COVID-19. The negative factors for health are shown in red.</p>
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14 pages, 1425 KiB  
Article
Complete Genome Sequence Analysis of a Dengue Case Co-Infected with Type I and Type II Imported into Jiaxing in 2023
by Yamei Zhou, Shencong Lv, Hao Yan, Ganglin Ren, Yin Song, Jimei Jj, Lina Li, Yong Yan and Guoying Zhu
Microbiol. Res. 2024, 15(4), 2673-2686; https://doi.org/10.3390/microbiolres15040177 - 13 Dec 2024
Viewed by 600
Abstract
In 2023, one case of coinfection with type I and type II dengue virus of imported origin was first reported in Jiaxing city. Therefore, we analysed the results of the molecular tracing analysis of this case. We collected serum samples for whole-genome amplification [...] Read more.
In 2023, one case of coinfection with type I and type II dengue virus of imported origin was first reported in Jiaxing city. Therefore, we analysed the results of the molecular tracing analysis of this case. We collected serum samples for whole-genome amplification and sequencing and further analysed the whole-genome sequence for homology analysis, evolutionary tree analysis, and protein amino acid mutation site analysis. The results revealed that the JX202301 DENV-1 sequence had the highest homology with the epidemic strains in Guangdong (PP563909, PP563875, PP563840, and PP563879) in 2023, with nucleotide homology ranging from 99.5 to 99.8% and amino acid homology of 100%. The JX202301 DENV-2 sequence had the highest homology with the epidemic strains of 2019 Thailand (MZ636805, MZ636802, MZ636803, MW512454, and MW512419), with nucleotide homology ranging from 98.4 to 99.2% and amino acid homology of 99.7%. By analysing the amino acid mutation sites, we found that, compared with the corresponding reference strains and the epidemic strains in the same branch, there were 52 amino acid difference sites in the viral coding region of the DENV-1 sequence and 51 amino acid difference sites in the viral coding region of the DENV-2 sequence, which were mainly concentrated in the NS1 and NS5 region of the nonstructural proteins. In this study, we described for the first time the genome-wide sequence, genetic variation, and phylogenetic analysis of imported DENV-1 and DENV-2 mixed cases in Jiaxing city. These results provide a scientific basis for dengue fever outbreak surveillance, viral evolution studies, and prevention and control strategy development in Jiaxing city. Full article
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<p>Phylogenetic tree based on whole genomes of DENV-1 isolates. Note: ● Isolates from Jiaxing; Zhejiang ▲. The four serotype standard strains of DENV; grouped by I–V marker genotypes on the right.</p>
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<p>Phylogenetic tree based on whole genomes of DENV-2 isolates. Note: ● Isolates from Jiaxing; Zhejiang ▲. The four serotype standard strains of DENV; grouped by I–V marker genotypes on the right.</p>
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20 pages, 3058 KiB  
Review
Mast Cells and Basophils in Major Viral Diseases: What Are the Correlations with SARS-CoV-2, Influenza A Viruses, HIV, and Dengue?
by Luca Gammeri, Serena Sanfilippo, Clara Alessandrello, Sebastiano Gangemi and Paola Lucia Minciullo
Cells 2024, 13(24), 2044; https://doi.org/10.3390/cells13242044 - 11 Dec 2024
Viewed by 750
Abstract
The SARS-CoV-2 pandemic has significantly impacted global health and has led the population and the scientific community to live in fear of a future pandemic. Based on viral infectious diseases, innate immunity cells such as mast cells and basophils play a fundamental role [...] Read more.
The SARS-CoV-2 pandemic has significantly impacted global health and has led the population and the scientific community to live in fear of a future pandemic. Based on viral infectious diseases, innate immunity cells such as mast cells and basophils play a fundamental role in the pathogenesis of viral diseases. Understanding these mechanisms could be essential to better study practical therapeutic approaches not only to COVID-19 but also to other viral infections widely spread worldwide, such as influenza A, HIV, and dengue. In this literature review, we want to study these concepts. Mast cells and basophils intervene as a bridge between innate and acquired immunity and seem to have a role in the damage mechanisms during infection and in the stimulation of humoral and cellular immunity. In some cases, these cells can act as reservoirs and favor the replication and spread of the virus in the body. Understanding these mechanisms can be useful not only in therapeutic but also in diagnostic and prognostic perspectives. The prospects of applying artificial intelligence and machine learning algorithms for the creation of very accurate diagnostic/prognostic tools are interesting. Full article
(This article belongs to the Special Issue Cell Biology: State-of-the-Art and Perspectives in Italy 2024)
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<p>In the active phases of infection, the virus causes a reduction in the expression of CRTH2 on the surface of basophils and a significant increase in PD-L1, reducing the activation of the polarized T helper response. Active mast cells of the bronchial mucosa release TNF-alpha, IL-1, IL-6, proteases, histamine, prostaglandin D2, and leukotriene C4, promoting lung damage. In addition, the altered gene expressions induced by the virus significantly reduce the antiviral response of the immune system dependent on type I INF; The green arrow indicates an increase, the red arrows indicate a decrease.</p>
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<p>IAV causes mast cell degranulation and the release of proinflammatory cytokines through the interaction between viral proteins and TLR-3. The release of inflammatory mediators damages the respiratory epithelium and releases viruses, perpetuating the infection. Viral neuraminidases can also promote basophil degranulation, releasing other proinflammatory factors.</p>
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<p>The gp120 protein expressed on the virus interacts with the V<sub>H</sub>3<sup>+</sup> region of IgE and with α4β7 on the basophil surface, creating bridges through which the virus infects the CD4<sup>+</sup> T lymphocyte. The same receptors also stimulate mast cell degranulation and release factors promoting the Th2 inflammatory phenotype. In this way, allergic phenomena are favoured. The gp120 protein, Tat, and Nef stimulate the release of chemokines by the mast cell, favouring the recruitment of mast cells and basophils and amplifying the response. In addition, the mast cell releases G-MDSC, a factor that inhibits the antiviral activity mediated by CD8<sup>+</sup> T cells and NK cells; The green arrow indicates an increase, the red arrow indicates a decrease.</p>
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<p>Dengue virus stimulates endothelial cells to release chemokines that attract and activate mast cells. The virus stimulates these cells and, through the release of histamine, tryptase, and TNF-alpha, promotes endothelial damage. Furthermore, the release of serotonin by mast cells determines the activation of platelets, mediated by the 5HT2 receptor, promoting splenic sequestration of platelets and thrombocytopenia. The virus also promotes basophil degranulation.</p>
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