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Search Results (384)

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22 pages, 3486 KiB  
Article
Development and Validation of LAMP Assays for Distinguishing MPXV Clades with Fluorescent and Colorimetric Readouts
by Nazente Atceken, Sara Asghari Dilmani, Ahmed Choukri Abdullah, Mutlu Sarıkaya, Defne Yigci, Gozde Korkmaz and Savas Tasoglu
Biosensors 2025, 15(1), 23; https://doi.org/10.3390/bios15010023 - 6 Jan 2025
Viewed by 229
Abstract
Human monkeypox (Mpox) is a zoonotic disease caused by the Monkeypox virus (MPXV). As of 14 August 2024, the World Health Organization (WHO) has declared it a global health emergency. For Mpox, this was the second public health emergency of global significance in [...] Read more.
Human monkeypox (Mpox) is a zoonotic disease caused by the Monkeypox virus (MPXV). As of 14 August 2024, the World Health Organization (WHO) has declared it a global health emergency. For Mpox, this was the second public health emergency of global significance in the past two years. MPXV belongs to the Poxviridae family and is phylogenetically and epidemically divided into two clades: the Congo Basin (Clade-I) and the West African (Clade-II) clades. Clade-I has been associated with more severe disease progression and higher mortality compared to Clade-II, and thus the differentiation between clades can play an important role in predicting disease prognosis. The LAMP technique has the advantages of not requiring thermal cycling and achieving higher amplification in a shorter time compared to qPCR. Different types of LAMP assays were developed in this study to benefit from these advantages. We report the development of LAMP-1 and LAMP-2 assays using the LAMP method to detect MPXV Clade-I and Clade-II, respectively. The LAMP-1 assay includes both fluorescence and visible colorimetric readout tests developed with sensitivities of 103 and 107 copies, respectively. For the LAMP-2 assay, a probe-based test utilizing the Novel R-Duplex DARQ probe was developed, offering fluorescence detection at a sensitivity of 103 copies. As a result, we successfully developed three highly specific molecular diagnostic tests that distinctly differentiate between MPXV clades, delivering essential tools for the precise diagnosis and effective control of Mpox. Full article
(This article belongs to the Special Issue Optical Bioimaging and Biosensing)
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Figure 1
<p>Three different molecular tests were developed using the LAMP method for MPXV Clade detection and are shown in the figure. Schematic diagram showing the workflow of LAMP-1 and LAMP-2 for Clade-I and Clade-II detection. LAMP-1 assay was used to detect Clade-I. The amplification was verified based on fluorescent emission and a colorimetric change from pink to yellow. LAMP-2 assay was used to detect Clade-II. The probe-based LAMP method can achieve fluorescence detection by using the R-Duplex DARQ probe for Clade-II detection.</p>
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<p>A scheme depicting primers and target gene for Clade-I detection, specificity, and sensitivity results. (<b>A</b>) Location of LAMP-1 assay primers on <span class="html-italic">D14L</span> sequences. (<b>B</b>) LAMP-1 fluorescence reading results for clade detection. The successful amplification of Clade-I within approximately 18 min with no Clade-II amplification indicates high specificity of the assay. (<b>C</b>) LoD analysis of template DNA with 10-fold serial dilution samples for LAMP-1 assay. The sensitivity of the tests is 10<sup>3</sup> copies. PTC: positive control. NTC: negative control.</p>
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<p>LAMP-1 assay colorimetric reading results. (<b>A</b>) Screenshot of the developed MATLAB-based GUI. The interface displays sections for image upload, vial count entry, and sample selection through diagonal corner coordinates. The GUI measures average sample intensities and displays them in a bar plot, with options to export the bar plot values as a text file. (<b>B</b>) Screenshot of the MATLAB-based GUI displaying an image with twelve samples, including the negative control tube (Sample 1), with specified corners and the resulting bar plot of average sample intensities. The GUI accurately captures the relative difference in sample intensities, highlighting samples 10 and 11 in comparison to the control sample, which signifies the functionality of the app.</p>
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<p>A scheme depicting primers and target gene for Clade-II detection and specificity results. (<b>A</b>) Location of LAMP-2 assay primers on target gene sequences. (<b>B</b>) LAMP-2 fluorescence reading results for Clade detection. The higher fluorescence intensity and earlier amplification of Clade-II indicate the successful detection of Clade-II. PTC: positive control. NTC: negative control.</p>
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<p>A schematic illustration of the structure and working principle of the fluorescent probe designed for Clade-II. (<b>A</b>) R-Duplex DARQ probe structure. (<b>B</b>) Working principle of R-Duplex DARQ probe in the LAMP reaction.</p>
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<p>(<b>A</b>) Fluorescence readout of LAMP assay with new R- Duplex DARQ probes: In reactions performed with Clade-I DNA, no fluorescent signal was observed when using the R-Duplex DARQ-1 probe (red line) or the R-Duplex DARQ-2 probe (blue line). In contrast, in LAMP reactions performed with Clade-II DNA, fluorescent signal was detected using both the R-Duplex DARQ-1 probe (black line) and the R-Duplex DARQ-2 probe (orange line). This indicates that the probe-based LAMP-2 assay successfully achieved amplification in Clade-II DNA and enabled fluorescence detection. (<b>B</b>) LoD analysis of R- Duplex DARQ-1 probe. (<b>C</b>) LoD analysis of R- Duplex DARQ-2 probe. Both probes showed a sensitivity value of 10<sup>3</sup> copies. NTC: negative control.</p>
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21 pages, 10015 KiB  
Article
Transcriptomic and Proteomic Analysis of Monkeypox Virus A5L-Expressing HEK293T Cells
by Mingzhi Li, Jiaqi Xiong, Hao Zhou, Jing Liu, Chenyi Wang, Mengle Jia, Yihao Wang, Nannan Zhang, Yanying Chen, Tao Zhong, Zhicheng Zhang, Ruiying Li, Yuxin Zhang, Yunli Guo, Qi Peng and Lingbao Kong
Int. J. Mol. Sci. 2025, 26(1), 398; https://doi.org/10.3390/ijms26010398 - 5 Jan 2025
Viewed by 418
Abstract
Monkeypox (MPOX) is a zoonotic viral disease caused by the Monkeypox virus (MPXV), which has become the most significant public health threat within the Orthopoxvirus genus since the eradication of the Variola virus (VARV). Despite the extensive attention MPXV has garnered, little is [...] Read more.
Monkeypox (MPOX) is a zoonotic viral disease caused by the Monkeypox virus (MPXV), which has become the most significant public health threat within the Orthopoxvirus genus since the eradication of the Variola virus (VARV). Despite the extensive attention MPXV has garnered, little is known about its clinical manifestations in humans. In this study, a high-throughput RNA sequencing (RNA-seq) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach was employed to investigate the transcriptional and metabolic responses of HEK293T cells to the MPXV A5L protein. RNA-seq analysis identified a total of 1473 differentially expressed genes (DEGs), comprising 911 upregulated and 562 downregulated genes. Additionally, LC-MS/MS analysis revealed 185 cellular proteins with significantly altered abundance ratios that interact with the A5L protein. Here, we perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the transcriptome and proteome signatures of MPXV A5L-expressing HEK293T cells to gain insights into the virus proteins-host interplay. Transcriptomic analysis revealed that transfection of the MPXV A5L protein modulated genes primarily associated with the cell cycle, ribosome, and DNA replication. Proteomic analysis indicated that this protein predominantly interacted with host ribosomal proteins and cytoskeletal proteins. The combination of transcriptomic and proteomic analysis offers new perspectives for understanding the interaction between pathogens and hosts. Our research emphasizes the significant role of MPXV A5L in facilitating viral internalization and assembly, as well as its impact on the host’s translation system. Full article
(This article belongs to the Section Molecular Biology)
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<p>Amino acid sequence analysis of VACV-A4L and MPXV-A5L. (<b>A</b>) Molecular phylogenetic analysis of poxvirus A4L and MPXV A5L (highlighted in a red box). The tree with the highest log likelihood (−3224.27) is shown. The percentage of trees in which the associated taxa clustered together is indicated next to the branches. (<b>B</b>) Analysis of amino acid sequence identity between VACV-A4L (GeneBank: AAA48120.1) and MPXV-A5L (GeneBank: NC_063383.1). Red box with white characters indicates complete amino acid strict identity, white box with red characters indicates amino acid similarity, and black font on a white background indicates complete amino acid divergence.</p>
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<p>Construction and expression of MPXV A5L in HEK293T Cells. (<b>A</b>) Schematic representation of the cloned fragment. (<b>B</b>) Double digestion of the pCAGGS-HA-A5L plasmid. Lanes 1–5: The pCAGGS-HA-A5L recombinants were digested with EcoRI and XhoI. (<b>C</b>) Expression of MPXV A5L protein in HEK293T cells was followed by immunoblot analysis using anti-HA and anti-β-actin antibodies. M: 180 kDa protein molecular weight marker (8–180 kDa). Lanes 1–3: Cells transfected with pCAGGS-HA. Lanes 4–6: Cells transfected with pCAGGS-HA-A5L. (<b>D</b>) IP and whole-cell lysates (Input) used for immunoprecipitation were detected by immunoblotting with an anti-HA antibody. Lane 1: Cells transfected with pCAGGS-HA plasmid. Lane 2: Cells transfected with pCAGGS-HA-A5L plasmid.</p>
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<p>Identification of DEGs. (<b>A</b>) Volcano plot of DEGs. The vertical axis represents the significance (−log10 <span class="html-italic">p</span>-value), while the horizontal axis represents the log2 fold change in gene expression between the experimental and control groups. Downregulated genes by green dots, upregulated genes are indicated by red dots, and the threshold lines for DEGs screening criteria are shown as gray dashed lines. (<b>B</b>) Thermal polymerization map of DEGs. The left vertical axis represents the results of cluster analysis, while the horizontal axis denotes the sample names. The right vertical axis indicates gene names. The red color in the middle of the heatmap represents high expression, and the blue color represents low expression.</p>
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<p>Functional enrichment analysis of DEGs. (<b>A</b>) The scatter plot and (<b>B</b>) the histogram of GO analysis. (<b>C</b>) The scatter plot and (<b>D</b>) the histogram of KEGG analysis. The vertical axis represents the top 30 or 35 most significant terms, while the horizontal axis represents the gene ratio (<b>A</b>,<b>C</b>) or count (<b>B</b>,<b>D</b>). Gene ratio: The ratio of DEGs numbers to background gene numbers. Count: The number of DEGs. <span class="html-italic">p</span>-value: An indicator of term significance; smaller <span class="html-italic">p</span>-values indicate greater significance.</p>
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<p>RT-qPCR Validation of gene expression. We verified the expression levels of nine genes (<span class="html-italic">HIF1A</span>, <span class="html-italic">CCL2</span>, <span class="html-italic">FAS</span>, <span class="html-italic">IGSF11</span>, <span class="html-italic">IFIH1</span>, <span class="html-italic">RAB3A</span>, <span class="html-italic">H2AC17</span>, <span class="html-italic">L1CAM</span>, and <span class="html-italic">AKT</span>) using RT-qPCR in HEK293T cells after A5L protein expression. RNA expression levels were normalized to <span class="html-italic">profilin1</span>. Error bars represent the standard deviation (SD) from at least three independent experiments.</p>
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<p>Functional enrichment analysis of proteins interacting with A5L. (<b>A</b>) The scatter plot and (<b>B</b>) the histogram of GO analysis. (<b>C</b>) The scatter plot and (<b>D</b>) the histogram of KEGG analysis. The horizontal axis indicates the gene ratio (<b>A</b>,<b>C</b>) or count (<b>B</b>,<b>D</b>). The vertical axis shows the top 30 or 25 most significance terms. Gene ratio: the ratio of the interacting proteins number to background proteins number. Count: the number of the interacting proteins. <span class="html-italic">p</span>-value: indicators of the significance of the term, the smaller the <span class="html-italic">p</span>-value.</p>
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23 pages, 2519 KiB  
Review
Comprehensive Insights into Monkeypox (mpox): Recent Advances in Epidemiology, Diagnostic Approaches and Therapeutic Strategies
by Suresh Kumar, Dhanyashri Guruparan, Kalimuthu Karuppanan and K. J. Senthil Kumar
Pathogens 2025, 14(1), 1; https://doi.org/10.3390/pathogens14010001 - 26 Dec 2024
Viewed by 486
Abstract
Monkeypox (mpox) is a viral infection closely related to smallpox, manifesting as a milder febrile rash in affected individuals. Over the past two decades, the incidence of mpox has surged, possibly linked to a declining immunity against the smallpox vaccine worldwide. Recent outbreaks [...] Read more.
Monkeypox (mpox) is a viral infection closely related to smallpox, manifesting as a milder febrile rash in affected individuals. Over the past two decades, the incidence of mpox has surged, possibly linked to a declining immunity against the smallpox vaccine worldwide. Recent outbreaks of mpox in multiple countries have sparked concerns regarding altered transmission patterns and the potential for a global menace. In this article, we present a multidimensional review encompassing the latest scientific discoveries, illuminating the intricate structure of the human mpox virus. Key findings include advancements in understanding the virus’s molecular mechanisms, which highlight its genetic adaptability and potential for zoonotic spillover. Diagnostic innovations, such as improved molecular assays, have enhanced detection accuracy, while novel therapeutic strategies, including antiviral drugs and vaccines, show promise in mitigating outbreaks. Our conclusions emphasize the importance of robust surveillance systems, vaccination programs, and rapid response strategies to curb mpox’s spread. Future recommendations include strengthening global collaboration for zoonotic disease surveillance, advancing the research on host–pathogen interactions, and developing next-generation therapeutics to address this emerging public health threat effectively. Full article
(This article belongs to the Special Issue Molecular Epidemiology of Emerging Viruses)
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<p>Global map of mpox outbreak in 2024 from CDC (1 January 2024).</p>
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<p>Structural features of a poxvirus virion. The virion is encased in an outer membrane and inner membrane, with surface tubules projecting from the outer surface. Inside, the core contains viral DNA, nucleocapsid proteins, and lateral bodies, surrounded by a core wall and fibrils. The palisade layer provides structural integrity, while inner membrane proteins facilitate viral assembly and infection. This unique design supports the virus’s ability to replicate and evade host defenses.</p>
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<p>Genomic organization of the mpox virus, highlighting the inverted terminal repeats (ITRs) and conserved regions. The genome is depicted with purple regions at both ends representing variable regions flanked by ITRs. The central conserved region, shown in green, spans positions 33,225 bp to 134,701 bp. Various genes, including those labeled A to P, are marked along the genome, indicating their relative positions. This schematic highlights the structural organization and division between conserved and variable genomic regions in the mpox virus, providing insight into its genetic composition and potential functional domains.</p>
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<p>Replication cycle of poxvirus. The schematic representation illustrating the key stages in the viral lifecycle. The process begins with the entry of intracellular mature virions (IMVs) or extracellular enveloped virions (EEVs) into the host cell. Following uncoating, viral DNA is released into the cytoplasm for early mRNA transcription, leading to the synthesis of early proteins. DNA replication occurs in viral factories, followed by intermediate and late transcription for structural protein production. Morphogenesis leads to virion assembly, forming IMVs and EEVs. Host cell modifications, including actin tail formation and membrane alterations, facilitate viral egress. Type A inclusion bodies and Golgi involvement are highlighted.</p>
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14 pages, 2777 KiB  
Article
The Effects of the Combined Co-Expression of GroEL/ES and Trigger Factor Chaperones on Orthopoxvirus Phospholipase F13 Production in E. coli
by Iuliia A. Merkuleva, Vladimir N. Nikitin, Tatyana D. Belaya, Egor. A. Mustaev and Dmitriy N. Shcherbakov
BioTech 2024, 13(4), 57; https://doi.org/10.3390/biotech13040057 - 23 Dec 2024
Viewed by 458
Abstract
Heterologous protein expression often faces significant challenges, particularly when the target protein has posttranslational modifications, is toxic, or is prone to misfolding. These issues can result in low expression levels, aggregation, or even cell death. Such problems are exemplified by the expression of [...] Read more.
Heterologous protein expression often faces significant challenges, particularly when the target protein has posttranslational modifications, is toxic, or is prone to misfolding. These issues can result in low expression levels, aggregation, or even cell death. Such problems are exemplified by the expression of phospholipase p37, a critical target for chemotherapeutic drugs against pathogenic human orthopoxviruses, including monkeypox and smallpox viruses. The complex structure and broad enzymatic activity of phospholipase p37 render it toxic to host cells, necessitating specialized strategies for heterologous expression. In our study, we addressed these challenges using the vaccinia virus F13 protein as a model. We demonstrated that p37 can be effectively synthesized in E. coli as a GST fusion protein by co-expressing it with the GroEL/ES chaperone system and Trigger Factor chaperone. Full article
(This article belongs to the Section Medical Biotechnology)
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<p>A model of the tertiary structure of the GST-F13 protein (Alphafold2 prediction): The GST protein is represented in light gray, with the 3CL cleavage site highlighted in blue. The secondary structure elements of F13 are color-coded as follows: α-helices are shown in red, β-sheets in blue, and loops in gray. The phospholipase domain is emphasized in purple, as well as the amino acid residues of the phospholipase motif. The non-structural region of the complex, corresponding to the 6× His-tag, is depicted in green.</p>
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<p>Analysis of extracts of <span class="html-italic">E. coli</span> BL21 (DE3) cells co-expressing the GST-F13 protein along with the chaperones Trigger Factor (TF) and GroEL/ES. (<b>A</b>) SDS-PAGE of insoluble (I) and soluble (S) protein fractions; (<b>B</b>) Western blot analysis of expressed proteins using anti-6× His antibodies; (<b>C</b>) SDS-PAGE analysis of insoluble (I) and soluble (S) proteins induced at different temperatures. The GST-F13 protein fraction (~69 kDa) is indicated by arrows.</p>
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<p>Map of the pGTi plasmid, containing GroEL/ES and Trigger Factor (TF) chaperone genes.</p>
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<p>(<b>A</b>) SDS-PAGE analysis of insoluble (I) and soluble (S) fractions of <span class="html-italic">E. coli</span> BL21 (DE3) cells harboring pET21-GST-F13 and pGTi plasmids, induced with 1 mM IPTG for 4 h; (<b>B</b>) Immunoblotting of protein fractions with anti-His antibodies.</p>
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<p><span class="html-italic">E. coli</span> BL21 (DE3)/pET21-GST-F13/pGTi culture growth and GST-F13 protein expression kinetics: (<b>A</b>) Growth curve (mean ± SD, <span class="html-italic">n</span> = 3) and relative GST-F13 expression. Protein quantity was determined by densitometric analysis of SDS-PAGE (n = 3), and normalized with maximum value. (<b>B</b>) SDS-PAGE analysis of the time course production of GST-F13 in <span class="html-italic">E. coli</span>.</p>
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<p>SDS-PAGE analysis of eluted fractions (1, 2) of GST-F13 protein after affinity chromatography.</p>
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<p>(<b>A</b>) Schematic illustration of pNPPC hydrolysis by GST-F13; (<b>B</b>) phospholipase activity of GST-F13 protein in the presence of NIOCH-14 inhibitor (0.01 mg/mL). Data are presented as mean ± SD, n = 3.</p>
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12 pages, 2262 KiB  
Article
Multi-Component Protein Vaccine Induces a Strong and Long-Term Immune Response Against Monkeypox Virus
by Xiaolan Yang, Yakun Sun, Hongjing Gu, Deyu Li, Liangyan Zhang, Tao Li and Hui Wang
Vaccines 2024, 12(12), 1410; https://doi.org/10.3390/vaccines12121410 - 13 Dec 2024
Viewed by 610
Abstract
Background/Objectives: Since 2022, outbreaks of monkeypox have raised widespread concern and have been declared a public health emergency of international concern by the World Health Organization. There is an urgent need to develop a safe and effective vaccine against the monkeypox virus (MPXV). [...] Read more.
Background/Objectives: Since 2022, outbreaks of monkeypox have raised widespread concern and have been declared a public health emergency of international concern by the World Health Organization. There is an urgent need to develop a safe and effective vaccine against the monkeypox virus (MPXV). Recombinant protein vaccines play a significant role in the prevention of infectious diseases due to their high safety and efficacy. Methods: We used the A29, E8, M1, A35, and B6 proteins of MPXV as candidate antigens to generate a panel of multi-component MPXV vaccine candidates, which were administered subcutaneously to immunize mice. Results: The results showed that the vaccine candidates Mix-AEM, Mix-AEMA, Mix-AEMB, and Mix-AEMAB effectively elicited strong neutralizing antibody responses and demonstrated significant protection against vaccinia virus (VACV) infection in a murine model. The vaccine candidate Mix-AEM induced significantly higher levels of neutralizing antibodies, cellular immunity capacity, and virus clearance compared to the vaccine candidate Mix-AE (lacking M1). Single-component immunization showed that M1 induced higher levels of neutralizing antibodies than A29 and E8. These results indicated that M1 is a critical and essential antigen in the MPXV vaccine. The number of cells secreting IFN-γ was significantly increased in the Mix-AEMA and Mix-AEMAB groups compared to the A35-deficient vaccine candidates, demonstrating the important role of A35 in inducing IFN-γ secreting. In addition, the neutralizing antibodies induced by these multi-component vaccine candidates were maintained at high levels six months after the third immunization. Conclusions: In summary, this study lays the groundwork for combining antigens to develop multi-component subunit vaccines. Full article
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<p>Expression and characterization of recombinant MPXV proteins A29, E8, M1, A35, and B6 using SDS-PAGE (<b>left</b>) and Western blot (<b>right</b>).</p>
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<p>Multi-component protein vaccine elicited a robust immune response in BALB/c mice. The mice were administered either the protein vaccine or a placebo, followed by a booster immunization with the same dosage two weeks later. Serum samples were collected at the specified time after immunization. (<b>A</b>) Experimental groups. (<b>B</b>) Immunization and challenge schematic diagram. (<b>C</b>) Antibody titers specific to VACV were assessed using ELISA. (<b>D</b>) The levels of neutralizing antibodies against VACV were measured through the PRNT assay. The results are presented as the mean ± SD. Statistical analysis was performed using Student’s <span class="html-italic">t</span>-test for normally distributed data or one-way ANOVA followed by Dunnett’s multiple comparison test (* <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, and **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>M1 induced higher levels of neutralizing antibody potency than A29 and E8. BALB/c mice received immunization using 10 µg of vaccines composed of a single protein component: M1; A29; E8; or a trivalent vaccine consisting of M1, E8, and A29. Alum was used as an adjuvant, and the same dose was administered for booster immunization two weeks later. Serum samples were obtained 14 days following the last immunization, and the levels of neutralizing antibodies against VACV were assessed using the PRNT assay. Data are presented as the mean ± SD. The analysis of the data was performed using Student’s <span class="html-italic">t</span>-test for normally distributed data or one-way ANOVA, followed by Dunnett’s multiple comparison test (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Cellular immune responses of multi-component protein vaccine immunization in mice. (<b>A</b>,<b>B</b>) The number of T cells producing IFN-γ was evaluated using ELISPOT assays. Four mice from each group were euthanized, and their splenocytes were collected 2 weeks after the second boost. Single-cell suspensions were then stimulated with peptide pools composed with A29, E8, M1, A35, and B6 peptide pools for 20 h. <span class="html-italic">n</span> = 4/group. Each sample was tested twice. Data are presented as the mean ± SD. The analysis of the data was performed using Student’s <span class="html-italic">t</span>-test for normally distributed data or one-way ANOVA, followed by Dunnett’s multiple comparison test (ns, not significant; * <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The protection against the challenges of VACV in multi-component protein vaccine immunization in mice. (<b>A</b>) The titers of VACV in the lungs were assessed through a standard plaque assay in Vero E6 cells. (<b>B</b>) Viral genome copies in lung were determined by qPCR. Five mice in every group were challenged with VACV, <span class="html-italic">n</span> = 5/group. Data are presented as mean ± SD. The analysis of the data was performed using Student’s <span class="html-italic">t</span>-test for normally distributed data or one-way ANOVA, followed by Dunnett’s multiple comparison test (ns, not significant; * <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; 0.0001).</p>
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<p>Multi-component vaccine candidates induce long-term immune response. BALB/c mice were immunized with the vaccine candidates Mix-AEMA or Mix-AEMB, and the doses and schedules were the same as shown in <a href="#vaccines-12-01410-f002" class="html-fig">Figure 2</a>B. Serum samples were obtained at 14 days (<span class="html-italic">n</span> = 8/group) and 6 months (<span class="html-italic">n</span> = 4/group) following the third immunization, and the levels of neutralizing antibodies against VACV were assessed using the PRNT assay. Data are presented as mean ± SD. The analysis of data was performed using Student’s <span class="html-italic">t</span>-test for normally distributed data or one-way ANOVA, followed by Dunnett’s multiple comparison test (ns, not significant).</p>
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11 pages, 4437 KiB  
Communication
Understanding the Epidemiology of Monkeypox Virus to Prevent Future Outbreaks
by Jimmy Steven Velásquez, Fabiola Beatriz Herrera-Echeverría, Héctor Salvador Porres-Paredes and Carmen Rodríguez-Cerdeira
Microorganisms 2024, 12(12), 2576; https://doi.org/10.3390/microorganisms12122576 - 13 Dec 2024
Viewed by 495
Abstract
Monkeypox (Mpox) is an infectious disease caused by the Mpox virus belonging to the Orthopoxvirus genus in the Poxviridae family and has been declared by the WHO as a global health emergency owing to its rapid spread during 2022 and 2023. All patients [...] Read more.
Monkeypox (Mpox) is an infectious disease caused by the Mpox virus belonging to the Orthopoxvirus genus in the Poxviridae family and has been declared by the WHO as a global health emergency owing to its rapid spread during 2022 and 2023. All patients diagnosed with Mpox who were confirmed by PCR between July 2022 and April 2023 were included in this study. In total, 405 patients in whom clade 2 was identified were included. Notably, 99% of included patients were men, with 82% of them aged 20–39 years. Furthermore, 71% were men who had sex with men, and 34% were HIV carriers. Regarding the morphology of the lesions, approximately 63% presented with papulonecrotic rash, which sometimes alternated with pustules depending on the stage they were in. All patients presented with systemic symptoms. Five patients required hospital admission, one of whom died, and presented with HIV and severe immunosuppression. Clinical findings suggest that contact during sexual intercourse is the most likely transmission mechanism and genital involvement is the most frequent clinical form. HIV was the primary comorbidity. Genital lesions were common, especially in vulnerable populations such as those who engage in high-risk sexual behaviors. Full article
(This article belongs to the Special Issue Monkeypox—Current Knowledge and Future Perspectives)
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<p>Rash and lesions at different stages in a man who has sex with men.</p>
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<p>Multiple pseudopustules, some were crater-shaped with erosive centers.</p>
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<p>Regular circular ulcer with a white peripheral border, and purplish red central bottom.</p>
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<p>Lesion at inoculation site. Confluent ulcers with an associated depressed necrotic center.</p>
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<p>An umbilicated pustule on the dorsal surface of the penis.</p>
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<p>Papulonecrotic lesions and ulcerations with extensive necrosis in a patient with HIV.</p>
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<p>Several ulcerated lesions were observed on the penis in this patient VIH + and MSM.</p>
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23 pages, 2809 KiB  
Review
Mpox Virus Infection and Vaccination: Immunopathogenesis and Exploring the Link to Neuropsychiatric Manifestations
by Helal F. Hetta, Ahmad A. Alharbi, Shumukh M. Alsharif, Tala T. Alkindy, Alanoud Alkhamali, Abdullah S. Albalawi, Hager Hamdy Sayed, Moaiad Eldin Ahmed Mohamed, Yasmine Adel Mohammed, Yasmin N. Ramadan and Reem Sayad
Immuno 2024, 4(4), 578-600; https://doi.org/10.3390/immuno4040034 - 2 Dec 2024
Viewed by 980
Abstract
Background and Aim: Monkeypox (Mpox) is a viral disease mainly found in central and western Africa, with symptoms similar to variola virus (smallpox) but distinguished by the early lymph node swelling specific to Mpox. This review summarizes the neuropsychiatric manifestations of Mpox infection [...] Read more.
Background and Aim: Monkeypox (Mpox) is a viral disease mainly found in central and western Africa, with symptoms similar to variola virus (smallpox) but distinguished by the early lymph node swelling specific to Mpox. This review summarizes the neuropsychiatric manifestations of Mpox infection and vaccination, along with management approaches. Method: We searched different databases such as PubMed, Scopus, WoS, and Google Scholar about the neuropsychiatric manifestations of Mpox disease and the associated strategies of management. Results and conclusions: Mpox can cause a wide range of neurological symptoms. These range from mild symptoms like headaches, muscle aches, fatigue, and pain to severe symptoms, including seizures, blindness, photophobia, delirium, coma, encephalitis, and transverse myelitis. It is essential to distinguish Mpox from smallpox and other orthopox viruses. Psychiatric issues, such as stigma, disfigurement, isolation, and physical pain, are common in Mpox patients. To address these, healthcare providers should provide accurate information, counseling, and virtual support. Neurological side effects were associated with the previous smallpox vaccine, which offered cross-protection against Mpox. This vaccine has since been replaced by JYNNEOS, which does not pose any neurological risks. Mpox-related neurological symptoms are generally managed with supportive care, including NSAIDs, antibiotics, antiepileptics, and sedatives for seizures. Antivirals like acyclovir are also used. Severe cases may require hospitalization or intubation. So, we recommend early diagnosis, isolation, and prompt treatment, as Mpox spreading to the central nervous system can lead to serious and potentially fatal complications. Full article
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<p>Structure of Mpox virus. There are two forms of Mpox, the extracellular enveloped virion (EEV) that is responsible for dissemination and the intracellular mature virion (IMV) that is released after the destruction of cells. Mpox is surrounded by a membrane of lipoprotein and is ovoid or brick-shaped, with a size more than 200 nm. Mpox is composed of many components, a nucleoprotein core, double-stranded DNA, two lateral bodies, surface tubules and an outer membrane. Modified from [<a href="#B29-immuno-04-00034" class="html-bibr">29</a>]. Created with biorender.com.</p>
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<p>The Mpox life cycle with the different viral antigens playing a role at the indicated steps. Mpox infection takes many cellular steps as follows: viral entry, fusion, genome replication, assembly, and finally release from infected cells. There are two forms of Mpox, one is extracellular (responsible for dissemination) and the other is intracellular that is released after the destruction of cells. In the binding step, the virus attaches to cells either through unknown receptors or an extracellular matrix, then the virus enters the cell after fusion with the plasma membrane. Replication of Mpox occurs by the RNA polymerase and then the translation of proteins (early, intermediate, and late) by the host ribosome. Microtubules transport these intracellular virions, which are then enclosed by double layers of the membrane by the Golgi or endoplasmic reticulum to form an intracellular virus in an enveloped form. These intracellular forms may turn into extracellular forms when fused with the cell membrane and polymerize actin component. Created with biorender.com.</p>
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<p>Immunopathogenesis of Mpox virus. Immunopathogenesis in severe cases of Mpox infection is associated with lymphopenia, impaired function of the NK cell, monocytosis in blood, increase antibody levels along with an increase in granulocyte and monocyte, immune evasion, complement system inhibition, cytokine storm, and antibody-dependent enhancement. ↑”increased”, ↓”decreased”. Created with Biorender.com.</p>
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<p>Probable neuro-invasive mechanism(s) of Mpox and transmission routes for entry into the brain tissue. Mpox can reach the brain tissue through two probable routes, as the olfactory epithelium and infected monocytes/macrophages. After intranasal inoculation, the virus rapidly replicates in the nasal septum and mucosa and is detected in the brain parenchyma. Data also showed that infected monocytes in circulation may cross the blood–brain barrier (BBB) and reach the brain tissue. Mpox can rapidly replicate into the macrophages and release from these cells into the brain. Created with biorender.com.</p>
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22 pages, 5139 KiB  
Article
Evaluating the Binding Potential and Stability of Drug-like Compounds with the Monkeypox Virus VP39 Protein Using Molecular Dynamics Simulations and Free Energy Analysis
by Ahmed M. Hassan, Hattan S. Gattan, Arwa A. Faizo, Mohammed H. Alruhaili, Azzah S. Alharbi, Leena H. Bajrai, Ibrahim A. AL-Zahrani, Vivek Dhar Dwivedi and Esam I. Azhar
Pharmaceuticals 2024, 17(12), 1617; https://doi.org/10.3390/ph17121617 - 30 Nov 2024
Viewed by 804
Abstract
Background/Objectives: Monkeypox is a re-emerging viral disease with features of infectiously transmitted zoonoses. It is now considered a public health priority because of its rising incidence and transmission from person to person. Monkeypox virus (MPXV) VP39 protein is identified as an essential protein [...] Read more.
Background/Objectives: Monkeypox is a re-emerging viral disease with features of infectiously transmitted zoonoses. It is now considered a public health priority because of its rising incidence and transmission from person to person. Monkeypox virus (MPXV) VP39 protein is identified as an essential protein for replication of the virus, and therefore, it is a potential target for antiviral drugs. Methods: This work analyzes the binding affinities and the differential conformational stability of three target compounds and one control compound with the VP39 protein through multiple computational methods. Results: The re-docking analysis revealed that the compounds had high binding affinities towards the target protein; among these compounds, compounds 1 and 2 showed the highest binding energies in the virtual screening, and thus, these were considered as the most active inhibitor candidates. Intermolecular interaction analysis revealed distinct binding mechanisms. While compound 1 had very strong hydrogen bonds and hydrophobic interactions, compound 2 had numerous water-mediated interactions, and compound 3 had only ionic and hydrophobic contacts. In molecular dynamic simulations, compounds 1 and 2 showed that the protein–ligand complexes had a stable conformation, with protein RMSD values around 2 Å for both compounds. In contrast, compound 3 was slightly flexible, and the control compound was more flexible. MM/GBSA analysis again supported these results, which gave the binding free energies that were also supportive for these compounds. Conclusions: Notably, all the selected compounds, especially compounds 1 and 2, demonstrate high binding affinity. Therefore, these compounds can be further tested as antiviral agents against monkeypox treatment. Full article
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<p>Three-dimensional and two-dimensional structure analysis of four selected compounds in the docked pocket of selected compounds, i.e., (<b>a</b>,<b>b</b>) compound <b>1</b>, (<b>c</b>,<b>d</b>) compound <b>2</b>, (<b>e</b>,<b>f</b>) compound <b>3</b>, and (<b>g</b>,<b>h</b>) the control. The red color in ligand represents oxygen, while the blue color represents nitrogen, and the yellow color represents Sulfur.</p>
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<p>Protein RMSD triplicate in complex with three compounds and one control. (<b>a</b>) Compound <b>1</b>, (<b>b</b>) Compound <b>2</b>, (<b>c</b>) Compound <b>3</b>, and (<b>d</b>) Control.</p>
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<p>Ligand RMSD triplicate in complex with three compounds and one control. (<b>a</b>) Compound <b>1</b>, (<b>b</b>) Compound <b>2</b>, (<b>c</b>) Compound <b>3</b>, and (<b>d</b>) Control.</p>
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<p>Protein RMSF of top selected compound in complex with control complex. (<b>a</b>) Compound <b>1</b>, (<b>b</b>) Compound <b>2</b>, (<b>c</b>) Compound <b>3</b>, and (<b>d</b>) Control.</p>
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<p>Ligand RMSF triplicate in complex with three compounds and one control. (<b>a</b>) Compound <b>1</b>, (<b>b</b>) Compound <b>2</b>, (<b>c</b>) Compound <b>3</b>, and (<b>d</b>) Control.</p>
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<p>Protein–ligand profiling of selected compounds in the docked pocket of selected protein, i.e., (<b>a</b>) compound <b>1</b>, (<b>b</b>) compound <b>2</b>, (<b>c</b>) compound <b>3</b> and, (<b>d</b>) the control.</p>
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<p>Two-dimensional protein–ligand interaction analysis of selected compounds in the docked pocket of target protein, i.e., (<b>a</b>) compound <b>1</b>, (<b>b</b>) compound <b>2</b>, (<b>c</b>) compound <b>3</b> and, (<b>d</b>) the control.</p>
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<p>SASA analysis of selected compounds in the docked pocket of target protein, i.e., (<b>a</b>) compound <b>1</b>, (<b>b</b>) compound <b>2</b>, (<b>c</b>) compound <b>3</b> and, (<b>d</b>) the control.</p>
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<p>RG analysis of selected compounds in the docked pocket of the target protein, i.e., (<b>a</b>) compound <b>1</b>, (<b>b</b>) compound <b>2</b>, (<b>c</b>) compound <b>3</b> and, (<b>d</b>) the control.</p>
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15 pages, 1053 KiB  
Article
Media Matters: How Information Release Shapes Monkeypox Vaccination Willingness
by Huan Wang and Nan Wu
Journal. Media 2024, 5(4), 1802-1816; https://doi.org/10.3390/journalmedia5040109 - 27 Nov 2024
Viewed by 794
Abstract
Despite the growing body of evidence addressing the reasons behind vaccine hesitancy, the positive role of media as a key environmental factor influencing vaccination, as well as its function in publicizing and encouraging vaccination, has been less thoroughly explored. This study focuses on [...] Read more.
Despite the growing body of evidence addressing the reasons behind vaccine hesitancy, the positive role of media as a key environmental factor influencing vaccination, as well as its function in publicizing and encouraging vaccination, has been less thoroughly explored. This study focuses on the context of the current Monkeypox epidemic, examining the influence of media release channels and message framing on the public’s willingness to receive the Monkeypox vaccine. The findings are empirically validated through a survey experiment conducted in China. The study reveals that both media channels—traditional TV media, official online media, and user-generated media—and media content framings, specifically thematic and episodic, significantly impact the public’s willingness to be vaccinated against Monkeypox. Notably, in the context of this public health event, individuals were more inclined to trust the episodic framing of traditional TV media and the thematic framing of official online media. Compared to thematic framing, episodic framing generally enhances respondents’ willingness to vaccinate. Furthermore, user-generated media exhibited a more negative effect on vaccination intentions during the Monkeypox epidemic, particularly when combined with episodic framing. Heterogeneity analysis indicated a significant difference in the effectiveness of official online media based on audience identity (student vs. non-student), with the student group showing a preference for official online media channels. The findings underscore the importance of public health communication in carefully selecting media release types and message framings. Additionally, it is crucial to consider audience heterogeneity and to employ differentiated communication methods to enhance the effectiveness of vaccine promotion. Full article
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<p>Experiment design and procedure.</p>
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<p>Distribution of public vaccination willingness in the experimental groups.</p>
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<p>The effects of media types and frames on willingness to vaccinate.</p>
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17 pages, 435 KiB  
Article
Short-Term Predictions of the Trajectory of Mpox in East Asian Countries, 2022–2023: A Comparative Study of Forecasting Approaches
by Aleksandr Shishkin, Amanda Bleichrodt, Ruiyan Luo, Pavel Skums, Gerardo Chowell and Alexander Kirpich
Mathematics 2024, 12(23), 3669; https://doi.org/10.3390/math12233669 - 23 Nov 2024
Viewed by 590
Abstract
The 2022–2023 mpox outbreak exhibited an uneven global distribution. While countries such as the UK, Brazil, and the USA were most heavily affected in 2022, many Asian countries, specifically China, Japan, South Korea, and Thailand, experienced the outbreak later, in 2023, with significantly [...] Read more.
The 2022–2023 mpox outbreak exhibited an uneven global distribution. While countries such as the UK, Brazil, and the USA were most heavily affected in 2022, many Asian countries, specifically China, Japan, South Korea, and Thailand, experienced the outbreak later, in 2023, with significantly fewer reported cases relative to their populations. This variation in timing and scale distinguishes the outbreaks in these Asian countries from those in the first wave. This study evaluates the predictability of mpox outbreaks with smaller case counts in Asian countries using popular epidemic forecasting methods, including the ARIMA, Prophet, GLM, GAM, n-Sub-epidemic, and Sub-epidemic Wave frameworks. Despite the fact that the ARIMA and GAM models performed well for certain countries and prediction windows, their results were generally inconsistent and highly dependent on the country, i.e., the dataset, as well as the prediction interval length. In contrast, n-Sub-epidemic Ensembles demonstrated more reliable and robust performance across different datasets and predictions, indicating the effectiveness of this model on small datasets and its utility in the early stages of future pandemics. Full article
(This article belongs to the Special Issue Advances in Mathematical Biology and Applications)
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<p>Mpox weekly cases (weekly incidence) for China (<b>A</b>), Japan (<b>B</b>), South Korea (<b>C</b>), and Thailand (<b>D</b>) from 2 February 2023 to 28 December 2023. Weekly incidence predictions were issued for the dates that are in the highlighted area from 18 May 2023 to 30 November 2023.</p>
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<p>MSE of predictions across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metrics. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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<p>MAE of predictions across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metrics. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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<p>Coverage 95% Prediction Interval metrics across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metric. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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<p>WIS metrics for predictions across China, Japan, South Korea, and Thailand and four prediction horizons (1, 2, 3, and 4 weeks forward). The metric is on a logarithmic scale with a base of 10. Furthermore, all values were multiplied by 10, so no value would not go below 0. Teal bars are the best metric for the particular combination of location and horizon, and dark orange bars are the models with the worst metrics. SW stands for Sub-epidemic Wave and SE for n-Sub-epidemic frameworks. Ranked models are singular models used for the ensembles.</p>
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18 pages, 2027 KiB  
Article
TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM
by Elsaid Md. Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman and Ibrahim Gad
Diagnostics 2024, 14(23), 2638; https://doi.org/10.3390/diagnostics14232638 - 23 Nov 2024
Viewed by 794
Abstract
Background/Objectives:The emergence of monkeypox outside its endemic region in Africa has raised significant concerns within the public health community due to its rapid global dissemination. Early clinical differentiation of monkeypox from similar diseases, such as chickenpox and measles, presents a challenge. The Monkeypox [...] Read more.
Background/Objectives:The emergence of monkeypox outside its endemic region in Africa has raised significant concerns within the public health community due to its rapid global dissemination. Early clinical differentiation of monkeypox from similar diseases, such as chickenpox and measles, presents a challenge. The Monkeypox Skin Lesion Dataset (MSLD) used in this study comprises monkeypox skin lesions, which were collected primarily from publicly accessible sources. The dataset contains 770 original images captured from 162 unique patients. The MSLD includes four distinct class labels: monkeypox, measles, chickenpox, and normal. Methods: This paper presents an ensemble model for classifying the monkeypox dataset, which includes transformer models and support vector machine (SVM). The model development process begins with an evaluation of seven convolutional neural network (CNN) architectures. The proposed model is developed by selecting the top four models based on evaluation metrics for performance. The top four CNN architectures, namely EfficientNetB0, ResNet50, MobileNet, and Xception, are used for feature extraction. The high-dimensional feature vectors extracted from each network are then concatenated and optimized before being inputted into the SVM classifier. Results: The proposed ensemble model, in conjunction with the SVM classifier, achieves an accuracy of 95.45b%. Furthermore, the model demonstrates high precision (95.51%), recall (95.45%), and F1 score (95.46%), indicating its effectiveness in identifying monkeypox lesions. Conclusions: The results of the study show that the proposed hybrid framework achieves robust diagnostic performance in monkeypox detection, offering potential utility for enhanced disease monitoring and outbreak management. The model’s high diagnostic accuracy and computational efficiency indicate that it can be used as an additional tool for clinical decision support. Full article
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
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<p>The fundamental steps in the proposed TMS framework.</p>
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<p>A sample of images from each class utilized in the dataset. These classes include (<b>A</b>) Monkeypox, (<b>B</b>) Measles, (<b>C</b>) Chickenpox, and (<b>D</b>) Normal.</p>
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<p>Accuracy curves for training and testing data.</p>
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<p>Loss curves for training and testing data.</p>
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<p>ROC curves for all classes.</p>
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<p>The confusion matrix of the ensemble model.</p>
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<p>An example of the predicted images using the proposed model.</p>
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10 pages, 248 KiB  
Review
Challenges in Global Distribution and Equitable Access to Monkeypox Vaccines
by Nengak P. Danladi, Progress Agboola, Peter Olaniyi, Solomon Eze, Oluwatimilehin Oladapo, Danielle Obiwulu, Olatokun Shamsudeen Akano, Olowoyeye Aishat Adeola, Khaliq Olawale, Azeez Idowu Adiatu and Agboola Peace
Viruses 2024, 16(12), 1815; https://doi.org/10.3390/v16121815 - 21 Nov 2024
Viewed by 1005
Abstract
The monkeypox outbreak has grown beyond the regions in which it was considered endemic. It has spread from central and west Africa to non-endemic regions like Europe, America, and other parts of the world. It has recently been classified as a public health [...] Read more.
The monkeypox outbreak has grown beyond the regions in which it was considered endemic. It has spread from central and west Africa to non-endemic regions like Europe, America, and other parts of the world. It has recently been classified as a public health emergency of international concern. This study evaluated the challenges faced globally and equitable access to monkeypox vaccines. Global competition has been observed in the race to obtain vaccines, with low- and middle-income countries being disadvantaged. Great inequity exists in the distribution of vaccines globally through advance purchase agreements, vaccine stockpiling, vaccine nationalism, the inequitable distribution of existing resources, and insufficient surveillance and reporting mechanisms. To address some of these challenges, there is a need for strengthening the global vaccine manufacturing capacity, targeting countries with elevated risk profiles and limited resources, strengthening surveillance systems, and addressing vaccine hesitancy. Full article
12 pages, 1701 KiB  
Article
Knowledge Gap or Prepared Force? Exploring United Arab Emirates Pharmacy Students and Pharmacists’ Monkeypox Readiness
by Razan I. Nassar, Alhareth Ahmad, Iman A. Basheti, Amin M. Omar, Hiba Jawdat Barqawi, Karem H. Alzoubi, Moyad Shahwan, AlMuzaffar M. Al Moukdad, Mays Alrim Al Moukdad and Eman Abu-Gharbieh
Healthcare 2024, 12(22), 2295; https://doi.org/10.3390/healthcare12222295 - 16 Nov 2024
Viewed by 688
Abstract
Background: The WHO classified the mpox outbreak as a worldwide health emergency. Increasing the contribution of healthcare providers, such as pharmacists, can enhance preventive efforts. Assessing the knowledge and confidence levels of pharmacists in diagnosing and managing mpox cases can shape the response [...] Read more.
Background: The WHO classified the mpox outbreak as a worldwide health emergency. Increasing the contribution of healthcare providers, such as pharmacists, can enhance preventive efforts. Assessing the knowledge and confidence levels of pharmacists in diagnosing and managing mpox cases can shape the response strategies necessary for the management of such outbreaks. Methods: This research employed a cross-sectional survey designed to assess the knowledge and preparedness of pharmacy students and pharmacists in the United Arab Emirates (UAE) regarding the mpox virus outbreak. Independent researchers evaluated the survey items to confirm the face and content validity of the developed survey. The final study’s survey was structured into three distinct sections, each addressing a specific area of interest. Data were analyzed using the IBM SPSS Statistics. Results: The 388 participants had a median age of 22.00 years (IQR = 5.00). The survey revealed that participants primarily relied on the WHO reports for mpox information (79.8%). The total knowledge scores (TK score) varied, ranging from −6 to 23 (median = 6.00), and symptom knowledge scores (SK score) ranged from −3 to 9 (median = 2.00). Older participants (p-value = 0.008) and females (p-value = 0.014) exhibited significantly higher TK scores. Only about 31.0% of participants expressed confidence in diagnosing mpox cases, and 34.6% expressed confidence in managing mpox cases. Nearly a quarter of the participants (24.5%) thought that getting vaccinated against COVID-19 led to contracting mpox more likely, whereas 45.7% believed that a previous infection with COVID-19 increases the risk of having mpox and its associated symptoms. Many respondents (38.7%) expressed their concern that mpox could emerge as the next major epidemic following COVID-19. Conclusion: Although pharmacists and pharmacy students in the UAE are aware of mpox, their knowledge and confidence levels in diagnosing and managing vary significantly. These findings suggest the need for targeted educational programs to enhance the understanding and preparedness of pharmacists to manage and prevent mpox cases. Full article
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<p>The sources of information utilized by the study participants regarding mpox (n = 388).</p>
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<p>Responses to the 26 knowledge items among the study participants (n = 388).</p>
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<p>Study participants’ total knowledge and symptom knowledge scores (n = 388).</p>
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<p>Assessment of the confidence level in diagnosing and managing mpox cases among the participants (n = 388).</p>
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<p>Perception of mpox virus among the study participants (n = 388).</p>
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13 pages, 723 KiB  
Article
Expression of Toll-like Receptor Genes and Antiviral Cytokines in Macrophage-like Cells in Response to Indole-3-carboxylic Acid Derivative
by Alexander Narovlyansky, Alexander Pronin, Vladislav Poloskov, Alexander Sanin, Marina Mezentseva, Irina Fedyakina, Irina Suetina, Igor Zubashev, Felix Ershov, Marina Filimonova, Valentina Surinova, Irina Volkova and Egor Bogdanov
Viruses 2024, 16(11), 1718; https://doi.org/10.3390/v16111718 - 31 Oct 2024
Viewed by 882
Abstract
Ongoing outbreaks and often rapid spread of infections caused by coronaviruses, influenza, Nipah, Dengue, Marburg, monkeypox, and other viruses are a concern for health authorities in most countries. Therefore, the search for and study of new antiviral compounds are in great demand today. [...] Read more.
Ongoing outbreaks and often rapid spread of infections caused by coronaviruses, influenza, Nipah, Dengue, Marburg, monkeypox, and other viruses are a concern for health authorities in most countries. Therefore, the search for and study of new antiviral compounds are in great demand today. Since almost all viruses with pandemic potential have immunotoxic properties of various origins, particular attention is paid to the search and development of immunomodulatory drugs. We have synthesised a new compound related to indole-3-carboxylic acid derivatives (hereinafter referred to as the XXV) that has antiviral and interferon-inducing activity. The purpose of this work is to study the effect of the XXV on the stimulation of the expression of toll-like receptor genes, interferons, and immunoregulatory cytokines in a macrophage-like cell model. In this study, real-time PCR methods were used to obtain data on the transcriptional activity of genes in macrophage-like cells. Stimulation of the genes of toll-like receptors TLR2, TLR3, TLR4, TLR7, TLR8, and TLR9 was detected. A high-fold increase in stimulation (from 6.5 to 16,000) of the expression of the TLR3 and TLR4 genes was detected after 4 h of exposure to the XXV. Increased activity of interferon (IFNA1, IFNA2, IFNB1, IFNK, and IFNλ1) genes with simultaneous stimulation of the expression of interferon receptor (IFNAR1 and IFNAR2) genes and signalling molecule (JAK1 and ISG15) genes was detected. Increased fold stimulation of the expression of the cytokine genes IL6, TNFA, IL12A, and IL12B was also observed. Thus, it is shown that the XXV is an activator of TLR genes of innate immunity, which trigger signalling mechanisms of pathogen “recognition” and lead to stimulation of the expression of genes of proinflammatory cytokines and interferons. Full article
(This article belongs to the Section Viral Immunology, Vaccines, and Antivirals)
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<p>Determination of the cytotoxic effect of the XXV 48 h after addition to the THP-PMA-MPH cell culture (using the vital MTT dye). CC<sub>50</sub> = 256.94 μg/mL (445.3 μM). The optical density (OD) was assessed at a wavelength of 545 nm using an Immunochem 2100 photometer (USA). The 50% cytotoxic concentration (CC<sub>50</sub>) was calculated using GraphPad Prism 6.01. The abscissa axis showed the dilution of the XXV (initial concentration of 5 mg/mL (8.6 mM), and the ordinate axis showed the percentage (%) of living cells.</p>
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<p>Relative transcription level of the <span class="html-italic">TLR3</span> and <span class="html-italic">TLR4</span> genes 4 h after stimulation with the compound XXV in THP-PMA-MPH. The data obtained from the analysis in two replicates are presented. The calculations were performed relative to the control cells not treated with the XXV with normalisation to the reference gene <span class="html-italic">ribRNA</span>. The amplification data were processed automatically using CFX Maestro (Bio-rad, Hercules, CA, USA). The standard deviations (±SDs) of the Cq values of the logarithmic phase and the change in levels in the test samples (delta Cq ± SDs) were determined. The changes in gene activity (2deltaCq) in the experimental cell samples were determined relative to the control ones, which were taken to be equal to 1. The abscissa axis shows the expressed genes when treated with the XXV at concentrations of 6.25 μg/mL (10.8 µM) and 12.5 μg/mL (21.6 µM); the ordinate axis shows the relative expression level.</p>
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13 pages, 3777 KiB  
Article
Optimization of PCA Error Correction Conditions to Improve Efficiency of Virus Genome De Novo Synthesis
by Jiazhen Cui, Ao Hu, Xianghua Xiong, Qingyang Wang, Chen Zhu, Zhili Chen, Yuanyuan Lu, Xianzhu Xia, Huipeng Chen and Gang Liu
Int. J. Mol. Sci. 2024, 25(21), 11514; https://doi.org/10.3390/ijms252111514 - 26 Oct 2024
Viewed by 787
Abstract
In recent years, there have been frequent global outbreaks of viral epidemics such as Zika, COVID-19, and monkeypox, which have had a huge impact on human health and society and have also spurred innovation in virus engineering technology. The rise of synthetic virus [...] Read more.
In recent years, there have been frequent global outbreaks of viral epidemics such as Zika, COVID-19, and monkeypox, which have had a huge impact on human health and society and have also spurred innovation in virus engineering technology. The rise of synthetic virus genome technology has provided researchers with a new platform to accelerate vaccine and drug development. Although DNA synthesis technology has made significant progress, the current virus genome synthesis technology still requires the assembly of short oligonucleotides of around 60 bp into kb-level lengths when constructing long segments, a process in which the commonly used polymerase chain reaction assembly (PCA) technology has high error rates and is cumbersome to operate. This study optimized the error correction conditions after PCA assembly, increasing the accuracy of synthesizing 1 kb DNA fragments from 4.2 ± 2.1% before error correction to 31.3 ± 3.1% after two rounds of correction, an improvement of over 6 times. This study provides a more efficient operational process for synthesizing virus genomes from scratch, indicating greater potential for virus engineering in epidemic prevention and control and the field of biomedicine. Full article
(This article belongs to the Special Issue Virus Engineering and Applications: 2nd Edition)
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<p>Correction process and efficiency statistics of one-step annealing to 4 °C. (<b>A</b>) Flowchart of correction process for one-step annealing to 4°C. (<b>B</b>) Line graph showing the accuracy of amplified products after two rounds of correction with PCA assembly products and one-step annealing to 4 °C. (<b>C</b>) Number of positive samples of amplified products after two rounds of correction with PCA assembly products and one-step annealing to 4 °C.</p>
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<p>Correction process and efficiency statistics of two-step annealing to 4 °C. (<b>A</b>) Flowchart of correction process for two-step annealing to 4 °C. (<b>B</b>) Line graph showing the accuracy of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 4 °C. (<b>C</b>) Number of positive samples of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 4 °C.</p>
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<p>Correction process and efficiency statistics of two-step annealing to 37 °C. (<b>A</b>) Flowchart of correction process for two-step annealing to 37 °C. (<b>B</b>) Line graph showing the accuracy of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 37 °C. (<b>C</b>) Number of positive samples of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 37 °C.</p>
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<p>Correction process and efficiency statistics of two-step annealing to 25 °C. (<b>A</b>) Flowchart of correction process for two-step annealing to 25 °C. (<b>B</b>) Line graph showing the accuracy of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 25 °C. (<b>C</b>) Number of positive samples of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 25 °C.</p>
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<p>Correction process and efficiency statistics of two-step annealing to 16 °C. (<b>A</b>) Flowchart of correction process for two-step annealing to 16 °C. (<b>B</b>) Line graph showing the accuracy of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 16 °C. (<b>C</b>) Number of positive samples of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 16 °C.</p>
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<p>Correction process and efficiency statistics of two-step annealing to 37/25/16/4 °C. (<b>A</b>) Flowchart of correction process for two-step annealing to 37/25/16/4 °C. (<b>B</b>) Number of positive samples of amplified products after two rounds of correction with PCA assembly products and two-step annealing to 37/25/16/4 °C.</p>
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