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Search Results (1,929)

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Keywords = influenza vaccination

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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
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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Figure 1

Figure 1
<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>
Full article ">Figure 2
<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>
Full article ">
28 pages, 1043 KiB  
Review
How Broadly Neutralising Antibodies Are Redefining Immunity to Influenza
by Rebecca Steventon, Lucas Stolle and Craig Peter Thompson
Antibodies 2025, 14(1), 4; https://doi.org/10.3390/antib14010004 - 7 Jan 2025
Viewed by 104
Abstract
Recent avian influenza outbreaks have heightened global concern over viral threats with the potential to significantly impact human health. Influenza is particularly alarming due to its history of causing pandemics and zoonotic reservoirs. In response, significant progress has been made toward the development [...] Read more.
Recent avian influenza outbreaks have heightened global concern over viral threats with the potential to significantly impact human health. Influenza is particularly alarming due to its history of causing pandemics and zoonotic reservoirs. In response, significant progress has been made toward the development of universal influenza vaccines, largely driven by the discovery of broadly neutralising antibodies (bnAbs), which have the potential to neutralise a broad range of influenza viruses, extending beyond the traditional strain-specific response. This could lead to longer-lasting immunity, reducing the need for seasonal vaccinations, and improve preparedness for future pandemics. This review offers a comprehensive analysis of these antibodies, their application in clinical studies, and both their potential and possible shortcomings in managing future influenza outbreaks. Full article
(This article belongs to the Section Antibody Discovery and Engineering)
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Figure 1

Figure 1
<p>Steps in hemagglutinin endosomal collapse: The process begins when hemagglutinin (HA) binds to sialic acid on the host cell surface, facilitating viral endocytosis. In the endosome, HA initially exists in its (<b>a</b>) prefusion state and is bound to sialic acid. Upon endosomal acidification, HA releases the bound sialic acid and undergoes a conformational change to its (<b>b</b>) extended intermediate state, allowing the fusion peptide (shown in red) to insert into the endosomal membrane (shown in orange). The (<b>c</b>) extended intermediate state collapses, and HA undergoes a “jackknife” motion (<b>c<sup>1</sup></b>) → (<b>c<sup>2</sup></b>), drawing the viral membrane (shown in grey) and endosomal membrane together. As membrane fusion occurs, HA adopts its (<b>d</b>) post-fusion state, forming a fusion pore (shown in yellow) that facilitates the release of viral genetic material into the cytoplasm.</p>
Full article ">Figure 2
<p>Approximate locations of stem epitopes in representative influenza A group 1 (A/South Carolina/1/1918(H1N1), PDB: 1RUZ), influenza A group 2 (A/Hong Kong/1/1968(H3N2), PDB: 4WE4), and influenza B (B/Hong Kong/8/73, PDB: 3BT6). The central stem (CS) epitope (pink) and fusion peptide (cyan H3N2) or fusion peptide and anchor epitope (cyan H1N1) are in the stem. Conversely, the RBS (blue), VE (green), and lateral patch (yellow) are situated in the head domain. The occluded epitope and the interface epitope (orange) are marked in orange on a single rotated representative H3N2 monomer.</p>
Full article ">
28 pages, 9034 KiB  
Article
Mechanism of THBS1 Regulation of MDCK Cell Proliferation and Apoptosis Through TGF-β/Smad Signalling
by Rui Li, Fan Zhang, Lijin Wang, Siya Wang, Manlin Zhou, Jun Wang, Yiyang Zhang, Xiao Tan, Weiji Chen, Kun Yang and Zilin Qiao
Int. J. Mol. Sci. 2025, 26(1), 395; https://doi.org/10.3390/ijms26010395 - 4 Jan 2025
Viewed by 555
Abstract
Madin–Darby Canine Kidney (MDCK) cells are a key cell line for influenza vaccine production, due to their high viral yield and low mutation resistance. In our laboratory, we established a tertiary cell bank (called M60) using a standard MDCK cell line imported from [...] Read more.
Madin–Darby Canine Kidney (MDCK) cells are a key cell line for influenza vaccine production, due to their high viral yield and low mutation resistance. In our laboratory, we established a tertiary cell bank (called M60) using a standard MDCK cell line imported from American Type Culture Collection (ATCC) in the USA. Due to their controversial tumourigenicity, we domesticated non-tumourigenic MDCK cells (named CL23) for influenza vaccine production via monoclonal screening in the early stage of this study, and the screened CL23 cells were characterised based on their low proliferative capacity, which had certain limitations in terms of expanding their production during cell resuscitation. It was thus our objective to enhance the proliferation efficiency of MDCK cells for influenza vaccine production following cell resuscitation, with a view to improving the production of non-tumourigenic MDCK cells for vaccines and enhancing the production of influenza virus lysate vaccines from MDCK cells through genetic intervention. We concentrated on the protein thrombosponin-1 (THBS1), which was markedly differentiated in the proteomics data of the two MDCK cells. By integrating this finding with related studies, we were able to ascertain that THBS1 exerts a significant influence on the level of cell proliferation and apoptosis. Consequently, our objective was to investigate the impact of THBS1 expression on MDCK cell apoptosis by verifying the differences in THBS1 expression between the two MDCK cells and by interfering with THBS1 expression in the MDCK cells. We found that the knockdown of THBS1 significantly increased the proliferation and apoptosis of CL23 cells without causing significant changes in cell migration and invasion, and its overexpression significantly decreased the proliferation of M60 cells and increased cell migration, invasion, and apoptosis. In addition, the TGF-β/Smad pathway target genes transforming growth factor-β1 (TGF-β1), mothers against decapentaplegic homolog 2 (Smad2), and mothers against decapentaplegic homolog 3 (Smad3), were significantly down-regulated in CL23 cells after THBS1 knockdown and up-regulated in M60 cells after overexpression, with consistent expression identified at both the mRNA and protein levels. The treatment of cells with TGF-β activators and inhibitors further demonstrated that THBS1 regulated MDCK cell proliferation and apoptosis through the TGF-β/Smad signalling pathway. Finally, we found that THBS1 also regulated H1N1 influenza virus replication. These findings enable a comprehensive understanding of the regulatory mechanisms of THBS1 regarding MDCK cell proliferation and apoptosis functions and the effects of influenza virus replication. Full article
(This article belongs to the Section Molecular Biology)
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Figure 1

Figure 1
<p>Proliferation- and apoptosis-related gene detection in CL23 cells and M60 cells. (<b>a</b>) Proliferation- and apoptosis-related genes were expressed at the mRNA level in CL23 cells and M60 cells. (<b>b</b>) Proliferation- and apopto sis-related genes were expressed at the protein level in CL23 cells and M60 cells. (<b>c</b>) <span class="html-italic">THBS1</span> and <span class="html-italic">EPHB2</span> protein level expression in CL23 cells and tumourigenic M60 cells. Differential grey value analysis. * indicates statistically significant difference (*** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 2
<p>Analysis of proliferation, apoptosis, and migration ability of M60 cells and CL23 cells. (<b>a</b>) Growth curves of M60 cells and CL23 cells. (<b>b</b>,<b>c</b>) Levels of apoptosis of M60 cells and CL23 cells. (<b>d</b>,<b>e</b>) Levels of migration of M60 cells and CL23 cells. * indicates a statistically significant difference between tumour-free MDCK cells and tumour-forming MDCK cells (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 2 Cont.
<p>Analysis of proliferation, apoptosis, and migration ability of M60 cells and CL23 cells. (<b>a</b>) Growth curves of M60 cells and CL23 cells. (<b>b</b>,<b>c</b>) Levels of apoptosis of M60 cells and CL23 cells. (<b>d</b>,<b>e</b>) Levels of migration of M60 cells and CL23 cells. * indicates a statistically significant difference between tumour-free MDCK cells and tumour-forming MDCK cells (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 3
<p>Construction and characterisation of MDCK cell lines stably knocking down and overexpressing <span class="html-italic">THBS1</span>. (<b>a</b>) Bright field and fluorescence expression of cells after puromycin screening of knockdown control cells <span class="html-italic">THBS1</span>-sh-con puromycin; bright field and fluorescence expression of cells after puromycin screening of knockdown cells <span class="html-italic">THBS1</span>-sh-122484 locus; knockdown cells THBS1-sh-122485 locus puromycin screened for cell bright field and fluorescence expression; knockdown cells <span class="html-italic">THBS1</span>-sh-122486 locus puromycin screened for cell bright field and fluorescence expression; overexpression of control cells <span class="html-italic">THBS1</span>-OE-con puromycin screened for cell bright field and fluorescence expression; overexpression of <span class="html-italic">THBS1</span>-OE cells’ bright field and fluorescence expression after puromycin screening. (<b>b</b>) Differential expression of <span class="html-italic">THBS1</span> mRNA levels in stable knockdown <span class="html-italic">THBS1</span> cells. (<b>c</b>) Differential expression of <span class="html-italic">THBS1</span> mRNA levels in stable overexpression <span class="html-italic">THBS1</span> cells. (<b>d</b>) Differential expression of <span class="html-italic">THBS1</span> protein levels in stable knockdown and overexpression <span class="html-italic">THBS1</span> cells. (<b>e</b>,<b>f</b>) Differential expression of <span class="html-italic">THBS1</span> protein levels in stable knockdown and overexpression cells. Grey scale value analysis of <span class="html-italic">THBS1</span> protein level expression differences in <span class="html-italic">THBS1</span> cells. * indicates statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 3 Cont.
<p>Construction and characterisation of MDCK cell lines stably knocking down and overexpressing <span class="html-italic">THBS1</span>. (<b>a</b>) Bright field and fluorescence expression of cells after puromycin screening of knockdown control cells <span class="html-italic">THBS1</span>-sh-con puromycin; bright field and fluorescence expression of cells after puromycin screening of knockdown cells <span class="html-italic">THBS1</span>-sh-122484 locus; knockdown cells THBS1-sh-122485 locus puromycin screened for cell bright field and fluorescence expression; knockdown cells <span class="html-italic">THBS1</span>-sh-122486 locus puromycin screened for cell bright field and fluorescence expression; overexpression of control cells <span class="html-italic">THBS1</span>-OE-con puromycin screened for cell bright field and fluorescence expression; overexpression of <span class="html-italic">THBS1</span>-OE cells’ bright field and fluorescence expression after puromycin screening. (<b>b</b>) Differential expression of <span class="html-italic">THBS1</span> mRNA levels in stable knockdown <span class="html-italic">THBS1</span> cells. (<b>c</b>) Differential expression of <span class="html-italic">THBS1</span> mRNA levels in stable overexpression <span class="html-italic">THBS1</span> cells. (<b>d</b>) Differential expression of <span class="html-italic">THBS1</span> protein levels in stable knockdown and overexpression <span class="html-italic">THBS1</span> cells. (<b>e</b>,<b>f</b>) Differential expression of <span class="html-italic">THBS1</span> protein levels in stable knockdown and overexpression cells. Grey scale value analysis of <span class="html-italic">THBS1</span> protein level expression differences in <span class="html-italic">THBS1</span> cells. * indicates statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 3 Cont.
<p>Construction and characterisation of MDCK cell lines stably knocking down and overexpressing <span class="html-italic">THBS1</span>. (<b>a</b>) Bright field and fluorescence expression of cells after puromycin screening of knockdown control cells <span class="html-italic">THBS1</span>-sh-con puromycin; bright field and fluorescence expression of cells after puromycin screening of knockdown cells <span class="html-italic">THBS1</span>-sh-122484 locus; knockdown cells THBS1-sh-122485 locus puromycin screened for cell bright field and fluorescence expression; knockdown cells <span class="html-italic">THBS1</span>-sh-122486 locus puromycin screened for cell bright field and fluorescence expression; overexpression of control cells <span class="html-italic">THBS1</span>-OE-con puromycin screened for cell bright field and fluorescence expression; overexpression of <span class="html-italic">THBS1</span>-OE cells’ bright field and fluorescence expression after puromycin screening. (<b>b</b>) Differential expression of <span class="html-italic">THBS1</span> mRNA levels in stable knockdown <span class="html-italic">THBS1</span> cells. (<b>c</b>) Differential expression of <span class="html-italic">THBS1</span> mRNA levels in stable overexpression <span class="html-italic">THBS1</span> cells. (<b>d</b>) Differential expression of <span class="html-italic">THBS1</span> protein levels in stable knockdown and overexpression <span class="html-italic">THBS1</span> cells. (<b>e</b>,<b>f</b>) Differential expression of <span class="html-italic">THBS1</span> protein levels in stable knockdown and overexpression cells. Grey scale value analysis of <span class="html-italic">THBS1</span> protein level expression differences in <span class="html-italic">THBS1</span> cells. * indicates statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 4
<p>Effects of knockdown of <span class="html-italic">THBS1</span> on proliferation, apoptosis, migration, and cell cycle of CL23 cells. (<b>a</b>) Growth curves of stably knocked down <span class="html-italic">THBS1</span> cell lines. (<b>b</b>) Analysis of migratory ability of stably knocked down <span class="html-italic">THBS1</span> cell lines. (<b>c</b>) Analysis of apoptotic ability of stably knocked down <span class="html-italic">THBS1</span> cell lines. (<b>d</b>) Analysis of cell cycle of stably knocked down <span class="html-italic">THBS1</span> cell lines. * denotes statistically significant difference (* <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 no * indicates no difference.</p>
Full article ">Figure 5
<p>Effects of overexpression of <span class="html-italic">THBS1</span> on proliferation, apoptosis, migration, and cell cycle of M60 cells. (<b>a</b>) Growth curves of stable overexpression of <span class="html-italic">THBS1</span> cell lines. (<b>b</b>) Analysis of migration ability of stable overexpression of <span class="html-italic">THBS1</span> cell lines. (<b>c</b>) Analysis of apoptosis ability of stable overexpression of <span class="html-italic">THBS1</span> cell lines. (<b>d</b>) Analysis of cell cycle of stable overexpression of <span class="html-italic">THBS1</span> cell lines. * denotes statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 5 Cont.
<p>Effects of overexpression of <span class="html-italic">THBS1</span> on proliferation, apoptosis, migration, and cell cycle of M60 cells. (<b>a</b>) Growth curves of stable overexpression of <span class="html-italic">THBS1</span> cell lines. (<b>b</b>) Analysis of migration ability of stable overexpression of <span class="html-italic">THBS1</span> cell lines. (<b>c</b>) Analysis of apoptosis ability of stable overexpression of <span class="html-italic">THBS1</span> cell lines. (<b>d</b>) Analysis of cell cycle of stable overexpression of <span class="html-italic">THBS1</span> cell lines. * denotes statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 6
<p>Effect of knockdown and overexpression of <span class="html-italic">THBS1</span> on H1N1 influenza virus replication in MDCK cells. (<b>a</b>,<b>b</b>) Differences in expression of <span class="html-italic">NP</span> and <span class="html-italic">NS1</span> mRNA levels across time of H1N1 influenza virus infection in stably knocked down <span class="html-italic">THBS1</span> cell lines. (<b>c</b>,<b>d</b>) Differences in expression of <span class="html-italic">NP</span> protein levels across time of H1N1 influenza virus infection in stably knocked down <span class="html-italic">THBS1</span> cell lines. (<b>e</b>,<b>f</b>) Stable overexpression of <span class="html-italic">THBS1</span> cell lines infected with H1N1 influenza virus different time period <span class="html-italic">NP</span> and <span class="html-italic">NS1</span> mRNA level expression differences. (<b>g</b>,<b>h</b>) Stable overexpression of <span class="html-italic">THBS1</span> cell lines infected with H1N1 influenza virus different time period NP protein level expression differences. * indicates statistically significant difference (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 6 Cont.
<p>Effect of knockdown and overexpression of <span class="html-italic">THBS1</span> on H1N1 influenza virus replication in MDCK cells. (<b>a</b>,<b>b</b>) Differences in expression of <span class="html-italic">NP</span> and <span class="html-italic">NS1</span> mRNA levels across time of H1N1 influenza virus infection in stably knocked down <span class="html-italic">THBS1</span> cell lines. (<b>c</b>,<b>d</b>) Differences in expression of <span class="html-italic">NP</span> protein levels across time of H1N1 influenza virus infection in stably knocked down <span class="html-italic">THBS1</span> cell lines. (<b>e</b>,<b>f</b>) Stable overexpression of <span class="html-italic">THBS1</span> cell lines infected with H1N1 influenza virus different time period <span class="html-italic">NP</span> and <span class="html-italic">NS1</span> mRNA level expression differences. (<b>g</b>,<b>h</b>) Stable overexpression of <span class="html-italic">THBS1</span> cell lines infected with H1N1 influenza virus different time period NP protein level expression differences. * indicates statistically significant difference (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 7
<p>Differential expression of target genes downstream of <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, and <span class="html-italic">TGF-β/Smad</span> signalling pathways, as well as the predicted THBS1-interacting gene, <span class="html-italic">SCARB2</span>, in M60 and CL23 cells. (<b>a</b>,<b>b</b>) Differential expression of target genes downstream of the <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, and <span class="html-italic">TGF-β/Smad</span> signalling pathways, as well as <span class="html-italic">SCARB2</span> at mRNA level. (<b>c</b>,<b>d</b>) Differential expression of target genes downstream of the <span class="html-italic">TGF-β/Smad</span> signalling pathway and <span class="html-italic">SCARB2</span> at the protein level. * indicates statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 8
<p>Effects of knockdown and overexpression of <span class="html-italic">THBS1</span> on the differential expression of target genes downstream of <span class="html-italic">TGF-β/Smad</span>, <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling pathways, and <span class="html-italic">SCARB2</span> in MDCK cells. (<b>a</b>,<b>b</b>) Effects of knockdown of <span class="html-italic">THBS1</span> on the differential expression of target genes downstream of <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, <span class="html-italic">TGF-β/Smad</span> signalling, and the <span class="html-italic">SCARB2</span> mRNA level expression differences in CL23 cells. (<b>c</b>,<b>d</b>) Differential effects of overexpression of <span class="html-italic">THBS1</span> on the expression of target genes downstream of <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, <span class="html-italic">TGF-β/Smad</span> signalling, and <span class="html-italic">SCARB2</span> at the mRNA level in M60 cells. (<b>e</b>) Differential effects of knockdown and overexpression of <span class="html-italic">THBS1</span> on the expression of target genes downstream of the <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, <span class="html-italic">TGF-β/Smad</span> signalling pathways in MDCK cells, and the <span class="html-italic">SCARB2</span> protein level expression differences. (<b>f</b>,<b>g</b>) Grey value analysis of knockdown and overexpression of <span class="html-italic">THBS1</span> on the expression of target genes downstream of the <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, and <span class="html-italic">TGF-β/Smad</span> signalling pathways, as well as <span class="html-italic">SCARB2</span> protein level in MDCK cells. * indicates statistically significant difference (* <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 no * indicates no difference.</p>
Full article ">Figure 8 Cont.
<p>Effects of knockdown and overexpression of <span class="html-italic">THBS1</span> on the differential expression of target genes downstream of <span class="html-italic">TGF-β/Smad</span>, <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling pathways, and <span class="html-italic">SCARB2</span> in MDCK cells. (<b>a</b>,<b>b</b>) Effects of knockdown of <span class="html-italic">THBS1</span> on the differential expression of target genes downstream of <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, <span class="html-italic">TGF-β/Smad</span> signalling, and the <span class="html-italic">SCARB2</span> mRNA level expression differences in CL23 cells. (<b>c</b>,<b>d</b>) Differential effects of overexpression of <span class="html-italic">THBS1</span> on the expression of target genes downstream of <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, <span class="html-italic">TGF-β/Smad</span> signalling, and <span class="html-italic">SCARB2</span> at the mRNA level in M60 cells. (<b>e</b>) Differential effects of knockdown and overexpression of <span class="html-italic">THBS1</span> on the expression of target genes downstream of the <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, <span class="html-italic">TGF-β/Smad</span> signalling pathways in MDCK cells, and the <span class="html-italic">SCARB2</span> protein level expression differences. (<b>f</b>,<b>g</b>) Grey value analysis of knockdown and overexpression of <span class="html-italic">THBS1</span> on the expression of target genes downstream of the <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span>, and <span class="html-italic">TGF-β/Smad</span> signalling pathways, as well as <span class="html-italic">SCARB2</span> protein level in MDCK cells. * indicates statistically significant difference (* <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 no * indicates no difference.</p>
Full article ">Figure 9
<p>Determination of optimal concentration of <span class="html-italic">TGF-β</span> activator SRI-011381 on <span class="html-italic">THBS1</span>-sh-122484 cells and inhibitor LY2109761 on <span class="html-italic">THBS1</span>-OE cells, and its effect on the expression of target genes, <span class="html-italic">THBS1</span>, downstream of <span class="html-italic">TGF-β/Smad</span> signalling. (<b>a</b>) Effect of different concentrations of SRI-011381 on the growth status of <span class="html-italic">THBS1</span>-sh-122484 cells. (<b>b</b>) Effects of different concentrations of LY2109761 on the growth status of <span class="html-italic">THBS1</span>-OE cells. (<b>c</b>) Effects of different concentrations of SRI-011381 on the differential expression of target genes downstream of <span class="html-italic">TGF-β/Smad</span> signalling and <span class="html-italic">THBS1</span> mRNA levels in <span class="html-italic">THBS1</span>-sh-122484 cells. (<b>d</b>) Effects of different concentrations of LY2109761 on the expression of target genes downstream of <span class="html-italic">TGF-β/Smad</span> signalling and <span class="html-italic">THBS1</span>, and effects of different concentrations of LY2109761 on the expression of target genes downstream of <span class="html-italic">THBS1</span>-Sh-122484 cells. LY2109761 on <span class="html-italic">THBS1</span>-OE cells <span class="html-italic">TGF-β/Smad</span> signalling downstream target genes and <span class="html-italic">THBS1</span> mRNA level expression differences. (<b>e</b>) Effect of different concentrations of SRI-011381 on <span class="html-italic">THBS1</span>-sh-122484 cells and different concentrations of LY2109761 on <span class="html-italic">THBS1</span>-OE cells <span class="html-italic">TGF-β/Smad</span> signalling downstream target genes and <span class="html-italic">THBS1</span> protein level expression differences. (<b>f</b>) Grey scale analysis of the effects of different concentrations of SRI-011381 on the expression of target genes and <span class="html-italic">THBS1</span> protein level downstream of <span class="html-italic">TGF-β/Smad</span> signalling in <span class="html-italic">THBS1</span>-sh-122484 cells. (<b>g</b>) The effects of different concentrations of LY2109761 on the expression of <span class="html-italic">TGF-β/Smad</span> signalling downstream of <span class="html-italic">TGF-β/Smad</span> protein in <span class="html-italic">THBS1</span>-OE cells target gene and <span class="html-italic">THBS1</span> protein level expression grey value analysis. * indicates statistically significant difference (* <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 no * indicates no difference.</p>
Full article ">Figure 9 Cont.
<p>Determination of optimal concentration of <span class="html-italic">TGF-β</span> activator SRI-011381 on <span class="html-italic">THBS1</span>-sh-122484 cells and inhibitor LY2109761 on <span class="html-italic">THBS1</span>-OE cells, and its effect on the expression of target genes, <span class="html-italic">THBS1</span>, downstream of <span class="html-italic">TGF-β/Smad</span> signalling. (<b>a</b>) Effect of different concentrations of SRI-011381 on the growth status of <span class="html-italic">THBS1</span>-sh-122484 cells. (<b>b</b>) Effects of different concentrations of LY2109761 on the growth status of <span class="html-italic">THBS1</span>-OE cells. (<b>c</b>) Effects of different concentrations of SRI-011381 on the differential expression of target genes downstream of <span class="html-italic">TGF-β/Smad</span> signalling and <span class="html-italic">THBS1</span> mRNA levels in <span class="html-italic">THBS1</span>-sh-122484 cells. (<b>d</b>) Effects of different concentrations of LY2109761 on the expression of target genes downstream of <span class="html-italic">TGF-β/Smad</span> signalling and <span class="html-italic">THBS1</span>, and effects of different concentrations of LY2109761 on the expression of target genes downstream of <span class="html-italic">THBS1</span>-Sh-122484 cells. LY2109761 on <span class="html-italic">THBS1</span>-OE cells <span class="html-italic">TGF-β/Smad</span> signalling downstream target genes and <span class="html-italic">THBS1</span> mRNA level expression differences. (<b>e</b>) Effect of different concentrations of SRI-011381 on <span class="html-italic">THBS1</span>-sh-122484 cells and different concentrations of LY2109761 on <span class="html-italic">THBS1</span>-OE cells <span class="html-italic">TGF-β/Smad</span> signalling downstream target genes and <span class="html-italic">THBS1</span> protein level expression differences. (<b>f</b>) Grey scale analysis of the effects of different concentrations of SRI-011381 on the expression of target genes and <span class="html-italic">THBS1</span> protein level downstream of <span class="html-italic">TGF-β/Smad</span> signalling in <span class="html-italic">THBS1</span>-sh-122484 cells. (<b>g</b>) The effects of different concentrations of LY2109761 on the expression of <span class="html-italic">TGF-β/Smad</span> signalling downstream of <span class="html-italic">TGF-β/Smad</span> protein in <span class="html-italic">THBS1</span>-OE cells target gene and <span class="html-italic">THBS1</span> protein level expression grey value analysis. * indicates statistically significant difference (* <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 no * indicates no difference.</p>
Full article ">Figure 10
<p>Effect of SRI-011381 (5 μg/mL) on the expression of <span class="html-italic">PI3K/Akt</span>, target genes downstream of <span class="html-italic">P53</span> signalling pathway, <span class="html-italic">SCARB2</span> in knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484), and LY2109761 (10 μg/mL) in overexpressing <span class="html-italic">THBS1</span> (<span class="html-italic">THBS1</span>-OE) cells. (<b>a</b>) SRI-011381 (5 μg/mL) intervention in <span class="html-italic">THBS1</span>-sh-122484 cells showed differential expression of <span class="html-italic">PI3K/Akt</span>, target genes downstream of <span class="html-italic">P53</span> signalling, and <span class="html-italic">SCARB2</span> at the mRNA level. (<b>b</b>) LY2109761 (10 μg/mL) intervention in <span class="html-italic">THBS1</span>-OE cells showed differential expression of <span class="html-italic">PI3K/Akt</span>, target genes downstream of <span class="html-italic">P53</span> signalling, and <span class="html-italic">SCARB2</span> expression differences at the mRNA level. (<b>c</b>) <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling downstream target genes, and <span class="html-italic">SCARB2</span> expression differences at the protein level after SRI-011381 (5 μg/mL) intervention in <span class="html-italic">THBS1</span>-sh-122484 cells and LY2109761 (10 μg/mL) intervention in <span class="html-italic">THBS1</span>-OE cells. (<b>d</b>) SRI-011381 (5 μg/mL) intervention in <span class="html-italic">THBS1</span>-sh-122484 cells after <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling downstream target genes, and <span class="html-italic">SCARB2</span> expression differences at protein level grey value analysis. (<b>e</b>) LY2109761 (10 μg/mL) intervention in <span class="html-italic">THBS1</span>-OE cells after <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling downstream target genes, and <span class="html-italic">SCARB2</span> expression difference at protein level grey value analysis. * indicates statistically significant difference (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 10 Cont.
<p>Effect of SRI-011381 (5 μg/mL) on the expression of <span class="html-italic">PI3K/Akt</span>, target genes downstream of <span class="html-italic">P53</span> signalling pathway, <span class="html-italic">SCARB2</span> in knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484), and LY2109761 (10 μg/mL) in overexpressing <span class="html-italic">THBS1</span> (<span class="html-italic">THBS1</span>-OE) cells. (<b>a</b>) SRI-011381 (5 μg/mL) intervention in <span class="html-italic">THBS1</span>-sh-122484 cells showed differential expression of <span class="html-italic">PI3K/Akt</span>, target genes downstream of <span class="html-italic">P53</span> signalling, and <span class="html-italic">SCARB2</span> at the mRNA level. (<b>b</b>) LY2109761 (10 μg/mL) intervention in <span class="html-italic">THBS1</span>-OE cells showed differential expression of <span class="html-italic">PI3K/Akt</span>, target genes downstream of <span class="html-italic">P53</span> signalling, and <span class="html-italic">SCARB2</span> expression differences at the mRNA level. (<b>c</b>) <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling downstream target genes, and <span class="html-italic">SCARB2</span> expression differences at the protein level after SRI-011381 (5 μg/mL) intervention in <span class="html-italic">THBS1</span>-sh-122484 cells and LY2109761 (10 μg/mL) intervention in <span class="html-italic">THBS1</span>-OE cells. (<b>d</b>) SRI-011381 (5 μg/mL) intervention in <span class="html-italic">THBS1</span>-sh-122484 cells after <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling downstream target genes, and <span class="html-italic">SCARB2</span> expression differences at protein level grey value analysis. (<b>e</b>) LY2109761 (10 μg/mL) intervention in <span class="html-italic">THBS1</span>-OE cells after <span class="html-italic">PI3K/Akt</span>, <span class="html-italic">P53</span> signalling downstream target genes, and <span class="html-italic">SCARB2</span> expression difference at protein level grey value analysis. * indicates statistically significant difference (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 11
<p>Effects of SRI-011381 on knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484) and LY2109761 on proliferation and migration ability of overexpressing <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-OE). (<b>a</b>) Growth curve of SRI-011381 intervention knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484). (<b>b</b>,<b>c</b>) SRI-011381 intervention knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484) migration ability assay. (<b>d</b>) SRI-011381 intervention knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484) apoptosis ability assay. (<b>e</b>) LY2109761 intervention overexpression <span class="html-italic">THBS1</span> cells (THBS1-OE) growth curve. (<b>f</b>,<b>g</b>) LY2109761 intervention overexpression <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-OE) migration ability assay. (<b>h</b>) LY2109761 intervention overexpression <span class="html-italic">THBS1</span> cells (THBS1-OE) apoptosis ability assay. * indicates statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
Full article ">Figure 11 Cont.
<p>Effects of SRI-011381 on knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484) and LY2109761 on proliferation and migration ability of overexpressing <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-OE). (<b>a</b>) Growth curve of SRI-011381 intervention knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484). (<b>b</b>,<b>c</b>) SRI-011381 intervention knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484) migration ability assay. (<b>d</b>) SRI-011381 intervention knockdown <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-sh-122484) apoptosis ability assay. (<b>e</b>) LY2109761 intervention overexpression <span class="html-italic">THBS1</span> cells (THBS1-OE) growth curve. (<b>f</b>,<b>g</b>) LY2109761 intervention overexpression <span class="html-italic">THBS1</span> cells (<span class="html-italic">THBS1</span>-OE) migration ability assay. (<b>h</b>) LY2109761 intervention overexpression <span class="html-italic">THBS1</span> cells (THBS1-OE) apoptosis ability assay. * indicates statistically significant difference (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001) and no * indicates no difference.</p>
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27 pages, 3389 KiB  
Systematic Review
Post-Vaccination Anaphylaxis in Adults: A Systematic Review and Meta-Analysis
by Flavia Pennisi, Anna Carole D’Amelio, Rita Cuciniello, Stefania Borlini, Luigi Mirzaian, Giovanni Emanuele Ricciardi, Massimo Minerva, Vincenza Gianfredi and Carlo Signorelli
Vaccines 2025, 13(1), 37; https://doi.org/10.3390/vaccines13010037 - 4 Jan 2025
Viewed by 413
Abstract
Background/Objectives: Vaccines have been recognized as one of the most effective public health interventions. However, vaccine-associated anaphylaxis, although rare, is a serious adverse reaction. The incidence of anaphylaxis related to non-COVID-19 vaccines in adults remains underreported. This systematic review and meta-analysis aim to [...] Read more.
Background/Objectives: Vaccines have been recognized as one of the most effective public health interventions. However, vaccine-associated anaphylaxis, although rare, is a serious adverse reaction. The incidence of anaphylaxis related to non-COVID-19 vaccines in adults remains underreported. This systematic review and meta-analysis aim to estimate the incidence of post-vaccination anaphylaxis across various vaccines in adults. Methods: A comprehensive literature search of PubMed, Embase, Scopus, and Web of Science identified studies on anaphylaxis following vaccination in adults (≥18 years), excluding COVID-19 vaccines. PRISMA 2020 guidelines were followed. The protocol was registered in PROSPERO in advance (ID CRD42024566928). Random-effects and fixed-effects models were used to pool data and estimate the logit proportion, with the logit-transformed proportion serving as the effect size, thereby allowing for the calculation of event rates. Results: A total of 37 studies were included in the systematic review, with 22 studies contributing to the meta-analysis, representing a combined population of 206,855,261 participants. Most studies focused on influenza vaccines (n = 15). Across all studies, 262 anaphylactic cases were reported, with 153 cases related to influenza vaccines, followed by herpes zoster virus vaccines (38 cases) and yellow fever vaccines (29 cases). Td/Tdap vaccine had the lowest rate (0.0001 per 100,000 participants). The overall random-effects model yielded a logit proportion of −10.45 (95% CI: −12.09 to −8.82, p < 0.001), corresponding to an event rate of 2.91 events per 100,000 subjects (95% CI: 0.56 to 14.73). Sensitivity analysis showed a higher incidence for influenza, hepatitis vaccines, and in vulnerable populations. Conclusions: Anaphylaxis following vaccination in adults is rare but varies by vaccine type. Strengthened monitoring and preparedness are essential, especially in non-medical settings, to ensure a rapid response to anaphylaxis and maintain public confidence in vaccination programs. Full article
(This article belongs to the Section Vaccine Efficacy and Safety)
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Figure 1

Figure 1
<p>PRISMA flow diagram of study search, screen, assessment, and extraction.</p>
Full article ">Figure 2
<p>Annual publication distribution of included studies.</p>
Full article ">Figure 3
<p>Geographical distribution of studies conducted by country.</p>
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<p>(<b>a</b>) Forest plot and (<b>b</b>) funnel plot of the random-effects model assessing the logit proportion among all vaccine types. In the forest plot, the effect sizes of individual studies are represented in blue, while the overall effect size is shown in green.</p>
Full article ">Figure 5
<p>Forest plot of the random-effects model assessing the logit proportion among each vaccine type. RZV = recombinant zoster vaccine. Td/Tdap = tetanus and diphtheria or tetanus toxoid, reduced diphtheria toxoid, acellular pertussis. In the forest plot, the effect sizes of individual studies are represented in blue, the overall effect size for each vaccine type is shown in red, and the overall effect size for all vaccine types combined is displayed in green.</p>
Full article ">Figure 6
<p>Forest plot of the fixed-effects model assessing the logit proportion among each vaccine type. RZV = recombinant zoster vaccine. Td/Tdap = tetanus and diphtheria or tetanus toxoid, reduced diphtheria toxoid, acellular pertussis. In the forest plot, the effect sizes of individual studies are represented in blue, the overall effect size for each vaccine type is shown in red, and the overall effect size for all vaccine types combined is displayed in green.</p>
Full article ">Figure 7
<p>Forest plot of the random-effects model assessing the logit proportion among vulnerable populations (individuals with pre-existing allergies or chronic conditions). In the forest plot, the effect sizes of individual studies are represented in blue, while the overall effect size is shown in green.</p>
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14 pages, 537 KiB  
Article
Characteristics of the First Italian Older Adults Vaccinated with an Adjuvanted Respiratory Syncytial Virus (RSV) Vaccine
by Alexander Domnich, Andrea Orsi, Piero Luigi Lai, Elvira Massaro, Carlo-Simone Trombetta, Julieta Pastorino, Charlott Roihl, Marianna Pianta, Giancarlo Icardi and Donatella Panatto
Medicina 2025, 61(1), 67; https://doi.org/10.3390/medicina61010067 - 3 Jan 2025
Viewed by 400
Abstract
Background and Objectives: Three respiratory syncytial virus (RSV) vaccines have been recently made available for older adults. Understanding the principal characteristics of the first vaccine-takers can pave the way for a successful vaccination campaign. The objective of this study was to explore [...] Read more.
Background and Objectives: Three respiratory syncytial virus (RSV) vaccines have been recently made available for older adults. Understanding the principal characteristics of the first vaccine-takers can pave the way for a successful vaccination campaign. The objective of this study was to explore the sociodemographic and clinical characteristics of the first Italian users of an adjuvanted RSV vaccine and their attitudes towards RSV and vaccination. Materials and Methods: This cross-sectional study was conducted in 2024 in Liguria (Italy). Individuals aged ≥60 years with no contraindications to the adjuvanted vaccine RSVPreF3 OA were eligible. Following vaccination, subjects filled in a questionnaire, which comprised items on sociodemographic and clinical characteristics, attitudes towards RSV and RSV vaccination and a vaccination trust indicator (VTI). Results: A total of 453 vaccinees completed the survey. Their mean age was 74.9 ± 8.0 years, and 50.6% were males. Nine of ten (89.2%) individuals had ≥1 co-morbidity, of which cardiovascular conditions (70.4%), respiratory diseases (27.6%) and diabetes (18.5%) were the most common. Uptake of the routine vaccines was high: 91.2% and 98.7% received the 2023/2024 season influenza and ≥2 COVID-19 vaccines, respectively. The most common reasons for the current RSV vaccination were general practitioner advice (43.9%), followed by the willingness to be protected against (20.8%) and feelings of being at risk (16.6%) of RSV. The average VTI score was 91.5%, suggesting high trust in vaccines. More positive attitudes towards RSV vaccination were observed (p < 0.01) among subjects who received more COVID-19 vaccine doses, whose reasons for the current RSV vaccination were the willingness to be protected or to be in good health and the feeling of being at risk for RSV. Conclusions: The first Italian users of the novel RSVPreF3 OA vaccine were represented by high-risk individuals with a comparatively high prevalence of co-morbidities, high uptake of the seasonal respiratory vaccines and high trust in immunization. Full article
(This article belongs to the Section Epidemiology & Public Health)
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<p>Attitudes towards RSV and RSV vaccination.</p>
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13 pages, 311 KiB  
Review
Key Insights into Respiratory Virus Testing: Sensitivity and Clinical Implications
by Julio Garcia-Rodriguez, Frédéric Janvier and Clemens Kill
Microorganisms 2025, 13(1), 63; https://doi.org/10.3390/microorganisms13010063 - 2 Jan 2025
Viewed by 580
Abstract
Acute respiratory infections are a significant challenge in primary care and hospital settings. Viruses are the most common etiology and the overlapping symptomatology among major respiratory viruses, such as influenza, severe acute respiratory syndrome coronavirus 2, and respiratory syncytial virus, requires the use [...] Read more.
Acute respiratory infections are a significant challenge in primary care and hospital settings. Viruses are the most common etiology and the overlapping symptomatology among major respiratory viruses, such as influenza, severe acute respiratory syndrome coronavirus 2, and respiratory syncytial virus, requires the use of diagnostic tests that deliver early and accurate results. With the increasing availability of rapid antigen tests (RATS), it is tempting to prefer them over polymerase chain reaction (PCR) tests. However, compelling arguments support the existing recommendations in some European countries to maintain PCR testing for patient management throughout the year. RATs show sensitivities below 30% with lower viral loads, which are common and can have significant clinical implications. RATs perform well at lower cycle threshold (Ct) values, with sensitivity reaching 97.9% for Ct values below 20, which drops significantly for values above 25. Factors affecting viral load include disease stage, vaccination status, and viral variants, all of which can compromise the accuracy of antigen tests. Multi-target PCR tests effectively overcome these issues, ensuring reliable diagnosis. Additionally, the early detection of paucisymptomatic cases is essential in primary care and hospital settings to facilitate isolation and prevent secondary infections. Economic analyses support the use of comprehensive PCR tests, such as triplex-type tests, detecting SARS-CoV-2, influenza viruses, and RSV, as a first-line approach, as they can reduce case numbers and healthcare resource utilization. Maintaining PCR testing year-round is therefore crucial for the effective management of respiratory infections. Full article
(This article belongs to the Section Molecular Microbiology and Immunology)
19 pages, 804 KiB  
Review
In Ovo Vaccination Technology: An Alternative Approach to Post-Hatch Vaccination in Modern Poultry Operations
by Wafaa A. Abd El-Ghany
Microbiol. Res. 2025, 16(1), 7; https://doi.org/10.3390/microbiolres16010007 - 30 Dec 2024
Viewed by 368
Abstract
Poultry production systems are usually exposed to important infections that could be prevented by vaccination programs. Conventional methods of vaccination such as drinking water; spray, eye, or nose inoculation; and injection are usually given after hatching and have many disadvantages. Therefore, there is [...] Read more.
Poultry production systems are usually exposed to important infections that could be prevented by vaccination programs. Conventional methods of vaccination such as drinking water; spray, eye, or nose inoculation; and injection are usually given after hatching and have many disadvantages. Therefore, there is a great need for searching of alternative ways for vaccination process. In ovo vaccination technology is now regarded as an alternative approach to post-hatch vaccination in modern poultry operations. This technique is effective, fast, provides uniform vaccine dosing and delivery, is suitable for massive production, and reduces labor costs. Routine in ovo vaccination is applied during the late stage of embryonic development between days 17.5 and 19.25 of egg incubation. The best route of inoculation of the vaccine is in the amniotic fluid or in the embryo’s muscles, without causing any hatchability or chick quality losses. Accordingly, the inoculation site, the age of the embryos and breeders, presence of maternal antibodies, and the sanitation of equipment’s and the environment during the vaccination process affect the efficiency of the in ovo vaccination technique. In ovo vaccination technology is currently applied for vaccination against several economically important viral diseases such as Newcastle, infectious bursal disease, Marek’s disease, infectious laryngotracheitis, infectious bronchitis, avian influenza, and avian metapneumovirus. Moreover, vaccines used for prevention of mycoplasmosis and coccidiosis could be applied in ovo instead of in post-hatching application. It can be concluded that in ovo vaccination is a rapidly growing trend of vaccine technology, and it can replace post-hatching vaccination conventional methods. Full article
(This article belongs to the Special Issue Veterinary Microbiology and Diagnostics)
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<p>Mechanism of in ovo inoculation technology.</p>
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<p>Application of in ovo vaccination technology against some important diseases of poultry.</p>
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20 pages, 2022 KiB  
Article
A Model H5N2 Vaccine Strain for Dual Protection Against H5N1 and H9N2 Avian Influenza Viruses
by Jin-Ha Song, Seung-Eun Son, Ho-Won Kim, Se-Hee An, Chung-Young Lee, Hyuk-Joon Kwon and Kang-Seuk Choi
Vaccines 2025, 13(1), 22; https://doi.org/10.3390/vaccines13010022 - 30 Dec 2024
Viewed by 390
Abstract
Background/Objective: Highly pathogenic (HP) H5Nx and low-pathogenicity (LP) H9N2 avian influenza viruses (AIVs) pose global threats to the poultry industry and public health, highlighting the critical need for a dual-protective vaccine. Methods: In this study, we generated a model PR8-derived recombinant H5N2 vaccine [...] Read more.
Background/Objective: Highly pathogenic (HP) H5Nx and low-pathogenicity (LP) H9N2 avian influenza viruses (AIVs) pose global threats to the poultry industry and public health, highlighting the critical need for a dual-protective vaccine. Methods: In this study, we generated a model PR8-derived recombinant H5N2 vaccine strain with hemagglutinin (HA) and neuraminidase (NA) genes from clade 2.3.2.1c H5N1 and Y439-like H9N2 viruses, respectively. To enhance the immunogenicity of the recombinant H5N2 vaccine strain, N-glycans of the HA2 subunit, NA, and M2e were modified. Additionally, we replaced M2e with avian M2e to enhance the antigenic homogeneity of AIVs for better protection. We also replaced PR8 PB2 with 01310 PB2, which is the PB2 gene derived from an LP H9N2 avian influenza virus, to eliminate pathogenicity in mammals. The productivity of the model vaccine strain (rvH5N2-aM2e-vPB2) in embryonated chicken eggs (ECEs), its potential risk of mammalian infection, and the immunogenicity associated with different inactivation methods (formaldehyde (F/A) vs. binary ethyleneimine (BEI)) were evaluated. Results: The rvH5N2-aM2e-vPB2 strain demonstrated high productivity in ECEs and exhibited complete inhibition of replication in mammalian cells. Furthermore, compared with using F/A inactivation, inactivation using BEI significantly enhanced the immune response, particularly against NA. This enhancement resulted in increased virus neutralization titers, supporting its efficacy for dual protection against H5Nx and H9N2 avian influenza viruses. Furthermore, we demonstrated that M2e-specific immune responses, difficult to induce with inactivated vaccines, can be effectively elicited with live vaccines, suggesting a strategy to enhance M2e immunogenicity in whole influenza virus vaccines. Conclusions: Finally, the successful development of the model rH5N2 vaccine strain is described; this strain provides dual protection, has potential applicability in regions where avian influenza is endemic, and can be used to promote the development of versatile H5N2 recombinant vaccines for effective avian influenza control. Full article
(This article belongs to the Special Issue Vaccines for Chicken)
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<p>Comparison of the replication efficiencies of the recombinant viruses in MDCK cells. MDCK cells were inoculated with recombinant H5N1 or H5N2 virus at an MOI of 0.001. After 1 h of incubation, the inoculum was replaced with fresh medium, and the supernatant was obtained at each time point (0, 24, 48, and 72 h). The viral titer was measured as the TCID<sub>50</sub>/mL in the MDCK cells, and the results are presented as the means ± SDs of triplicate experiments. Statistical significance was analyzed by two-way ANOVA. The asterisk represents a significant difference between rH5N1 and the other groups (<span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Comparison of the serum HI titers induced by recombinant virus vaccines inactivated by formaldehyde (F/A) or binary ethylenimine (BEI). Comparison of the HI titers at 1–4 weeks postvaccination. The serum samples were collected from SPF chickens (n = 5). (<b>A</b>) HI antibody responses against rH5N1 induced by vaccines inactivated with F/A or BEI. (<b>B</b>) HI antibody responses against 01310 (H9N2) induced by vaccines inactivated with F/A or BEI. The HI antibody response induced by the F/A-inactivated vaccine is represented by solid bars, while the response induced by the BEI-inactivated vaccine is represented by open bars. The data are presented as the means ± SD. Statistical significance was analyzed by two-way ANOVA and is denoted by asterisks (* <span class="html-italic">p</span> &lt;0.01).</p>
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<p>Comparison of the serum VN titers induced by recombinant virus vaccines inactivated by formaldehyde (F/A) or binary ethylenimine (BEI). Serum samples (n = 5) collected at 2, 3, and 4 weeks post-vaccination were utilized to conduct virus neutralization (VN) tests. (<b>A</b>) VN antibody responses against rH5N1 induced by vaccines inactivated with either F/A or BEI. (<b>B</b>) VN antibody responses against 01310 (H9N2) induced by vaccines inactivated with either F/A or BEI. We distinguished between the two vaccine groups in the bar graphs; the vaccines inactivated with F/A are represented by solid bars, whereas those inactivated with BEI are depicted by open bars. The data are presented as the means ± SD. Statistical significance was analyzed by two-way ANOVA and is denoted by asterisks (* <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Comparison of the serum NI titers induced by recombinant virus vaccines inactivated by formaldehyde (F/A) or binary ethylenimine (BEI). To compare the immunogenicity against NA, a neuraminidase inhibition (NI) assay was performed using the serum samples collected at week 3 post vaccination. The NA activity of the virus alone was set as 100%, and the relative reduction in the NA activity due to the serum was expressed as a percentage of the NA inhibition. (<b>A</b>) NA inhibition curves for each serum sample against rH5N1. (<b>B</b>) NA inhibition curves for each serum sample against 01310 (H9N2). The curves for the vaccine groups inactivated with F/A are shown as dashed lines, and those for the BEI-inactivated vaccine groups are shown as solid lines. The 50% inhibitory concentration (IC<sub>50</sub>) against (<b>C</b>) rH5N1 or (<b>D</b>) 01310 (H9N2) is represented as the serum dilution titer that achieved 50% inhibition of NA activity. IC<sub>50</sub> values for the F/A-inactivated vaccine groups are shown as solid bars, and those for the BEI-inactivated vaccine groups are shown as open bars, presented as mean ± SD. Statistical significance was analyzed via one-way ANOVA, and the results are denoted by asterisks (* <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Comparison of the anti-M2e antibody levels induced by inactivated and live recombinant virus vaccines. Three weeks after inactivated vaccine administration, the serum samples collected from SPF chickens were used to evaluate the antibody responses against two distinct peptides, PR8 M2e and M2e (Av) (avian M2e), via ELISA. (<b>A</b>,<b>B</b>) IgG responses against M2e from vaccines inactivated with formaldehyde (F/A). (<b>C</b>,<b>D</b>) IgG responses against M2e from vaccines inactivated with BEI. (<b>E</b>,<b>F</b>) Antibody responses to M2e in mouse sera collected after inoculation with live viruses. Six-week-old female BALB/c mice (n = 5) were inoculated with 10<sup>4</sup> EID<sub>50</sub> of two live viruses (rH5N2 and rvH5N2-aM2e) or a negative control (PBS). Two weeks post-inoculation, we evaluated the IgG responses against PR8 M2e and M2e (Av) (avian M2e) via ELISA. The data are presented as the means ± SD. Statistical significance was analyzed by two-way ANOVA and is denoted by asterisks (* <span class="html-italic">p</span> &lt; 0.001. ns, not significant). The black asterisks indicate significant differences between the two vaccines, whereas the blue and light blue asterisks represent significant differences between the vaccines and the negative control.</p>
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<p>Evaluation of the weight changes, survival rates, and lung viral titers in mice inoculated with rH5N2 and challenged with multiple viruses. Five 6-week-old female BALB/c mice inoculated with 10<sup>4</sup> EID<sub>50</sub> of two live viruses (rH5N2, rvH5N2-aM2e) or PBS (negative) were intranasally challenged with 10<sup>6</sup> EID<sub>50</sub> of the SNU50-5 (A/wild duck/Korea/SNU50-5/2009 (H5N1)), PR8 (A/Puerto Rico/8/1934 (H1N1)), or PR8-M (Av) (PR8 virus with avian M2e) virus at 2 weeks after inoculation. The genome composition of each challenge virus is illustrated, with the corresponding graph displayed at the top. The color coding represents the origin of each genome segment: blue indicates segments derived from the PR8 virus, while orange represents segments derived from the SNU50-5 virus, including the avian M2e sequence. Notably, the SNU50-5 virus incorporates the avian M2e sequence. Body weight changes (<b>A</b>–<b>C</b>) and survival rates (<b>D</b>–<b>F</b>) were monitored for 2 weeks after being challenged. Three days post-challenge, the mice (n = 3) were sacrificed, and the lung viral titer (<b>G</b>–<b>I</b>) was determined. The lung viral titers are presented as the means ± SD and were analyzed via one-way ANOVA (* <span class="html-italic">p</span> &lt; 0.05. ns, not significant).</p>
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8 pages, 777 KiB  
Case Report
Pediatric Acute Disseminated Encephalomyelitis Triggered by Concurrent Administration of Seasonal and H1N1 Influenza Vaccines: A Case Report and Review
by George Imataka, Hideaki Shiraishi and Shigemi Yoshihara
NeuroSci 2025, 6(1), 1; https://doi.org/10.3390/neurosci6010001 - 30 Dec 2024
Viewed by 308
Abstract
Background: Acute disseminated encephalomyelitis (ADEM) is a rare, immune-mediated inflammatory disorder of the central nervous system (CNS), typically characterized by the acute onset of multifocal demyelination. The pathogenesis of ADEM remains unclear, but it is believed to be triggered by an autoimmune response, [...] Read more.
Background: Acute disseminated encephalomyelitis (ADEM) is a rare, immune-mediated inflammatory disorder of the central nervous system (CNS), typically characterized by the acute onset of multifocal demyelination. The pathogenesis of ADEM remains unclear, but it is believed to be triggered by an autoimmune response, often following viral infections or vaccinations. Case report: This case report describes a 3-year-old child who developed ADEM after receiving two concurrent influenza vaccines: one for seasonal influenza and one for the 2009 H1N1 pandemic. The patient presented with motor regression, mild pleocytosis in cerebrospinal fluid (CSF), and typical MRI findings of ADEM. Steroid pulse therapy resulted in rapid improvement, and the patient recovered fully without sequelae. Results: Although the influenza vaccine has been linked to ADEM in some studies, it remains uncertain whether the simultaneous administration of both vaccines contributed to the onset of ADEM. While influenza vaccines are considered safe and effective by health organizations such as the CDC, data suggest that the incidence of ADEM and other neurological complications is significantly higher after natural influenza infections compared to vaccination. This highlights the importance of vaccination in preventing severe outcomes. Conclusions: This case underscores the importance of monitoring and reporting adverse events following vaccination to refine our understanding of rare complications like ADEM. While simultaneous vaccine administration warrants further research, the benefits of vaccination in preventing severe complications from natural infections far outweigh the risks. Continued vigilance and improved surveillance systems are essential for maintaining public confidence in vaccination programs. Full article
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<p>Brain MRI on Admission and Discharge (Spin Echo Method: Fluid Attenuated Inversion Recovery; FLAIR Axial: TR = 9000, TE = 104, FA = 150): (<b>A</b>,<b>B</b>): On admission, brain MRI with the Fluid Attenuated Inversion Recovery (FLAIR) sequence revealed high-intensity lesions bilaterally beneath the cerebral cortex, with asymmetrical involvement. FLAIR imaging, designed to suppress cerebrospinal fluid signals, provides enhanced visibility of brain parenchyma abnormalities, particularly those involving edema or inflammation. The bilateral, asymmetrical nature of the lesions suggests a possible systemic or multifocal pathology. These lesions are characterized by abnormal fluid accumulation, which appears bright on FLAIR images due to the suppression of CSF, allowing for better delineation of tissue abnormalities. (<b>C</b>,<b>D</b>): On follow-up MRI at discharge, these lesions had significantly improved, with reduced intensity in the previously affected areas. The reduction in signal suggests a decrease in underlying edema or inflammation, reflecting a positive change in the brain’s condition. This improvement highlights the effectiveness of follow-up imaging in monitoring the resolution of abnormalities over time.</p>
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<p>Proposed Mechanism of Vaccine-Induced Acute Disseminated Encephalomyelitis (ADEM).</p>
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Article
Attitudes Toward General Vaccination Mediate the Association Between Influenza Vaccination History and Pneumococcal Vaccination Intention Among Older Adults in China
by Siwen Huang, Chi Ruan, Yan Jiang, Yudan Song, Yuhang Zhang, Zeying Qin, Xinyu Shi, Mengyue Zhang, Jingtao Zhou, Dingwan Chen, Yongkang Xiao, Liang Wang, Lili Tian, Rui Peng, Zongchao Peng and Sitong Luo
Vaccines 2025, 13(1), 20; https://doi.org/10.3390/vaccines13010020 - 29 Dec 2024
Viewed by 405
Abstract
Background: Influenza and pneumococcal vaccinations play a crucial role in disease prevention among older adults and are recommended to older adults aged 60 years and over in China, but the vaccination rates are suboptimal. Behavioral spillover indicates that a change in one behavior [...] Read more.
Background: Influenza and pneumococcal vaccinations play a crucial role in disease prevention among older adults and are recommended to older adults aged 60 years and over in China, but the vaccination rates are suboptimal. Behavioral spillover indicates that a change in one behavior may lead to changes in other related behaviors. Objective: Based on the Behavioral Spillover Theory, this study aimed to investigate the association between influenza vaccination history and pneumococcal vaccination intention, as well as the mediating role of negative attitudes toward general vaccination among older adults in China. Method: A multi-center cross-sectional survey was conducted among 1031 older adults, and 658 participants (median age: 65.0 ± 9.0 years) who had not received pneumococcal vaccination were included in the analysis. Correlation analysis and path analysis were performed. Results: A significant positive association was observed between influenza vaccination history and pneumococcal vaccination intention (r = 0.167, p < 0.001). In contrast, negative attitudes toward general vaccination, including mistrust of vaccine benefits (r = −0.253, p < 0.001), worries about unforeseen future effects (r = −0.180, p < 0.001), concerns about commercial profiteering (r = −0.360, p < 0.001), and a preference for natural immunity (r = −0.212, p < 0.001) were negatively associated with pneumococcal vaccination intention. Negative attitudes toward general vaccination mediated the association between influenza vaccination history and pneumococcal vaccination intention (total indirect effect = 0.119, p < 0.001, effect size = 50.0%). Conclusion: These findings demonstrated that influenza vaccination history may reduce negative attitudes toward general vaccination, which may further increase pneumococcal vaccination intention, indicating spillover effects of influenza vaccination history. To promote vaccination behavior among older adults, addressing negative attitudes toward general vaccination is crucial. Full article
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<p>Flowchart of participant selection for the analysis.</p>
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<p>The proposed mediation model with standard coefficients for the pneumococcal vaccination intention (N = 658). <span class="html-italic">Note:</span> * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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21 pages, 5843 KiB  
Article
Mucosal Immunization with an Influenza Vector Carrying SARS-CoV-2 N Protein Protects Naïve Mice and Prevents Disease Enhancement in Seropositive Th2-Prone Mice
by Mariia V. Sergeeva, Kirill Vasilev, Ekaterina Romanovskaya-Romanko, Nikita Yolshin, Anastasia Pulkina, Daria Shamakova, Anna-Polina Shurygina, Arman Muzhikyan, Dmitry Lioznov and Marina Stukova
Vaccines 2025, 13(1), 15; https://doi.org/10.3390/vaccines13010015 - 28 Dec 2024
Viewed by 582
Abstract
Background/Objectives: Intranasal vaccination enhances protection against respiratory viruses by providing stimuli to the immune system at the primary site of infection, promoting a balanced and effective response. Influenza vectors with truncated NS1 are a promising vaccine approach that ensures a pronounced local CD8+ [...] Read more.
Background/Objectives: Intranasal vaccination enhances protection against respiratory viruses by providing stimuli to the immune system at the primary site of infection, promoting a balanced and effective response. Influenza vectors with truncated NS1 are a promising vaccine approach that ensures a pronounced local CD8+ T-cellular immune response. Here, we describe the protective and immunomodulating properties of an influenza vector FluVec-N carrying the C-terminal fragment of the SARS-CoV-2 nucleoprotein within a truncated NS1 open reading frame. Methods: We generated several FluVec-N recombinant vectors by reverse genetics and confirmed the vector’s genetic stability, antigen expression in vitro, attenuation, and immunogenicity in a mouse model. We tested the protective potential of FluVec-N intranasal immunization in naïve mice and seropositive Th2-prone mice, primed with aluminium-adjuvanted inactivated SARS-CoV-2. Immune response in immunized and challenged mice was analyzed through serological methods and flow cytometry. Results: Double intranasal immunization of naïve mice with FluVec-N reduced weight loss and viral load in the lungs following infection with the SARS-CoV-2 beta variant. Mice primed with alum-adjuvanted inactivated coronavirus experienced substantial early weight loss and eosinophilia in the lungs during infection, demonstrating signs of enhanced disease. A single intranasal boost immunization with FluVec-N prevented the disease enhancement in primed mice by modulating the local immune response. Protection was associated with the formation of specific IgA and the early activation of virus-specific effector and resident CD8+ lymphocytes in mouse lungs. Conclusions: Our study supports the potential of immunization with influenza vector vaccines to prevent respiratory diseases and associated immunopathology. Full article
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<p>The NS gene structure of the recombinant FluVec-N virus and expression of the chimeric NS1<sub>124</sub>_N protein. (<b>a</b>) Proteins encoded by two ORFs in the NS gene. (<b>b</b>) Western blot of infected cell lysates probed with anti-NS1 antibody. Viruses are indicated at the top; molecular weight marker is shown in kDa. (<b>c</b>) Immunofluorescent microscopy images of infected cells probed with anti-influenza NP antibody (A–D) and anti-SARS-CoV-2 N protein antibody (E–H). Viruses are indicated above the panel. The original images can be found in the <a href="#app1-vaccines-13-00015" class="html-app">Supplementary Materials</a>.</p>
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<p>The recombinant FluVec-N virus is attenuated and immunogenic in C57 mice. (<b>a</b>) Weight dynamics of mice intranasally inoculated with the indicated viruses, shown as percent of the initial weight (M ± SD). (<b>b</b>) Survival of mice intranasally inoculated with the indicated viruses. (<b>c</b>) T-cell immune response in mouse lungs to the influenza NP (366–374) peptide (left) or the SARS-CoV-2 N-protein (right) 10 days after immunization with the indicated virus. Relative content of total (upper panel) and individual (lower panel) subpopulations of cytokine-producing effector CD8+ T lymphocytes. Data obtained after subtracting background values of the relative content of cytokine-producing cells in the unstimulated control are presented. Statistical analysis was performed using ANOVA (<span class="html-italic">p</span> &lt; 0.0001), followed by pairwise group comparison using Tukey’s test. * <span class="html-italic">p</span> &lt; 0.05 marks significant differences with the DPBS control group.</p>
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<p>Protection experiments in BALB/c mice. (<b>a</b>) Study design. Immunization schemes for experimental groups are listed in the lower left, FI—formalin-inactivated. (<b>b</b>) Neutralizing SARS-CoV-2 antibodies in serum after second immunization. (<b>c</b>) N-protein specific antibodies in BAL after second immunization, sample dilution 1/2. (<b>d</b>) N-protein specific antibodies in BAL after challenge, sample dilution 1/2. ANOVA (<span class="html-italic">p</span> &lt; 0.0001) was followed by Dunnette’s test for multiple comparisons of each group with placebo: ** <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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<p>Protection experiments in BALB/c mice. (<b>a</b>,<b>b</b>) Infectious titers in BAL and the nasal turbinates (NTs) of challenged mice at 5 dpi. (<b>c</b>,<b>d</b>) Virus RNA in BAL and NTs of challenged mice at 5 dpi. Individual values and group means are presented. ANOVA (<span class="html-italic">p</span> &lt; 0.0001) was followed by Dunnette’s test for multiple comparisons of each group with placebo: * <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. (<b>e</b>) Body weight of challenged mice during a week after infection. Group means with 95% confidence intervals are presented. (<b>f</b>) Histopathological summary score of lung examination at 7 dpi. Individual values and group means are presented. The dotted line corresponds to the mean value for the placebo (infection control) group. (<b>g</b>) Microphotographs of the most pronounced pathological changes in bronchioles (upper panel) and blood vessels (lower panel) in the mouse lungs at 7 dpi, 400×.</p>
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<p>Innate immunity populations in the lungs of vaccinated BALB/c mice upon subsequent infection with SARS-CoV-2. (<b>a</b>) Alveolar macrophages; (<b>b</b>) interstitial macrophages; (<b>c</b>) monocytes; (<b>d</b>) dendritic cells; (<b>e</b>) eosinophils; (<b>f</b>) natural killers. Percentages of different cell types in the population of lung CD45+ cells are presented individually for each animal, and the horizontal line represents the group mean. An intact group is presented for comparison with normal non-infected mice. * <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 calculated using Tukey post-hoc test following one-way ANOVA applied to log values (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Main populations of CD4+ and CD8+ memory T lymphocytes in BALB/c mouse lung tissue 5 days after infection. (<b>a</b>,<b>b</b>) Total tissue-resident memory cells (CD4/CD8+CD44+CD62L-CD103+CD69+); (<b>c</b>,<b>d</b>) N-specific cytokine-producing tissue-resident memory cells; (<b>e</b>,<b>f</b>) N-specific cytokine-producing effector memory cells. Percentages of cells in the corresponding population are presented individually for each animal, and the horizontal line represents the group mean. An intact group is presented for comparison with normal non-infected mice. * <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 calculated using Tukey post-hoc test following one-way ANOVA applied to log values (<span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Gating strategy to identify innate immune cell populations.</p>
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<p>Gating strategy to identify adaptive immunity cell populations.</p>
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<p>Genetic stability of the FluVec-N chimeric NS gene. The whole-length RT-PCR amplification products are presented; pl—gene amplicon from the control plasmid. (<b>a</b>) Length of the NS gene segment of the virus clones from the 3rd passage of the FluVec-N (H1N1) recombinant virus carrying HA and NA from the A/PR/8/34 (H1N1) strain; (<b>b</b>) Length of the NS gene segment of the virus clones from the 2nd, 3rd, and 6th passages of the recombinant FluVec-N (H1N1pdm09) virus carrying HA and NA from the A/Guangdong-Maonan/SWL1536/2019 (H1N1pdm09) strain. The original images can be found in <a href="#app1-vaccines-13-00015" class="html-app">Supplementary Materials</a>.</p>
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<p>CD4+ T-cell response to the influenza NP (366–374) peptide and the SARS-CoV-2 N-protein in the lungs of immunized mice. Relative content of total (upper panel) and individual (lower panel) subpopulations of cytokine-producing effector CD4+ T lymphocytes was assessed 10 days after immunization with the indicated viruses. Data obtained after subtracting background values of the relative content of cytokine-producing cells in the unstimulated control are presented. Statistical analysis was performed using ANOVA (<span class="html-italic">p</span> &lt; 0.0001) followed by pairwise group comparison using Tukey’s test. * <span class="html-italic">p</span> &lt; 0.05 marks significant differences with the DPBS control group.</p>
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<p>Relative content of individual subpopulations of cytokine-producing resident CD4+ and CD8+ T lymphocytes. Data obtained after subtracting background values of the relative content of cytokine-producing cells in the unstimulated control are presented. Statistical analysis was performed using ANOVA (<span class="html-italic">p</span> &lt; 0.0001) followed by pairwise group comparison using Tukey’s test. * <span class="html-italic">p</span> &lt; 0.05 marks significant differences with the placebo control group.</p>
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<p>Relative content of individual subpopulations of cytokine-producing effector memory CD4+ and CD8+ T lymphocytes. Data obtained after subtracting background values of the relative content of cytokine-producing cells in the unstimulated control are presented. Statistical analysis was performed using ANOVA (<span class="html-italic">p</span> &lt; 0.0001) followed by pairwise group comparison using Tukey’s test. * <span class="html-italic">p</span> &lt; 0.05 marks significant differences with the placebo control group.</p>
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20 pages, 20405 KiB  
Article
The Role of Bone Marrow Stromal Cell Antigen 2 (BST2) in the Migration of Dendritic Cells to Lymph Nodes
by Sehoon Park, Eunbi Yi, Jaemyeong Jeon, Jinsoo Oh, Zhengmei Xu and Se-Ho Park
Int. J. Mol. Sci. 2025, 26(1), 149; https://doi.org/10.3390/ijms26010149 - 27 Dec 2024
Viewed by 346
Abstract
Bone marrow stromal antigen 2 (BST2) is a host-restriction factor that plays multiple roles in the antiviral defense of innate immune responses, including the inhibition of viral particle release from virus-infected cells. BST2 may also be involved in the endothelial adhesion and migration [...] Read more.
Bone marrow stromal antigen 2 (BST2) is a host-restriction factor that plays multiple roles in the antiviral defense of innate immune responses, including the inhibition of viral particle release from virus-infected cells. BST2 may also be involved in the endothelial adhesion and migration of monocytes, but its importance in the immune system is still unclear. Immune cell adhesion and migration are closely related to the initiation of immune responses. In this study, we found that the expressions of the lymph node homing marker chemokine receptor 7 (CCR7) and an adhesion molecule intercellular adhesion molecule 1 (ICAM-1) in conventional dendritic cells (cDCs) were associated with BST2 expression. Interestingly, Bst2−/− cDCs showed lower chemotactic ability, including velocity and accumulative distance toward chemokine ligand 19 (CCL19) gradient in vitro, compared to wild-type cDCs. Bst2−/− cDCs also showed reduced migration and reduced retention capacity in draining lymph nodes in vivo. As a result, Bst2−/− cDCs as antigen-presenting cells induced lower antigen-specific B cell and T cell responses compared to Bst2+/+ cDCs. Notably, mice administered the influenza vaccine via Bst2−/− cDCs exhibited substantially inefficient virus clearance compared to mice administered the Bst2+/+ cDCs vaccine. Therefore, we propose that BST2, which plays a critical role in the effective migration and retention of cDCs, is involved in the development of optimal immunological effects in draining lymph nodes. Full article
(This article belongs to the Section Molecular Immunology)
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<p>BST2 expression is involved in the expression of the chemokine receptor CCR7 and adhesion molecule ICAM-1 in cDCs. (<b>A</b>) BST2 expression in immune cells from the splenocytes of wild-type mice with or without LPS administration. (<b>B</b>) Purified cDCs from the splenocytes of <span class="html-italic">Bst2<sup>+/+</sup></span> and <span class="html-italic">Bst2<sup>−/−</sup></span> mice were stimulated for 24 h with 0.1 μg/mL of LPS and their BST2 expression was measured. (<b>C</b>–<b>E</b>) Splenocytes from <span class="html-italic">Bst2<sup>+/+</sup></span> and <span class="html-italic">Bst2<sup>−/−</sup></span> mice were stimulated as described in (<b>B</b>), and the expressions of CCR7 (<b>C</b>), ICAM-1 (<b>D</b>), and LFA-1 (<b>E</b>) in each gated population was analyzed by FACS. Immune cell subsets were gated using fluorochrome-conjugated cell surface marker-specific antibodies: B cells (CD3ε<sup>−</sup>CD19<sup>+</sup>), T cells (CD3ε<sup>+</sup>CD19<sup>−</sup>), cDCs (CD11c<sup>high</sup>CD11b<sup>+</sup>B220<sup>−</sup>), pDCs (CD11c<sup>+</sup>CD11b<sup>−</sup>B220<sup>+</sup>). Representative data are shown as mean ± S.D. from four independent experiments with similar results. **** <span class="html-italic">p</span> &lt; 0.0001 and ns, not significant. The right panels in each staining show representative FACS images of LPS-stimulated samples.</p>
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<p>BST2 expression on cDCs is necessary for their migration through CCR7-mediated chemotaxis. (<b>A</b>) Trajectory plots were analyzed by tracking each of 15 Bst2<sup>+/+</sup> and Bst2<sup>−/−</sup> cDCs migrating toward a CCL19 gradient. Images were captured every 2 min for 1 h. (<b>B</b>) yFMI, (<b>C</b>) center of mass length, and (<b>D</b>) accumulated distance of Bst2<sup>+/+</sup> and Bst2<sup>−/−</sup> cDCs were measured in 15 slides. Representative data are shown as mean ± S.D. from at least three independent experiments with similar results. * <span class="html-italic">p</span> &lt; 0.05 and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>BST2 expression on cDCs facilitates their migration into draining lymph nodes. (<b>A</b>) Experimental scheme for in vivo DC migration. Equal numbers (5 × 10<sup>5</sup> each) of CD45.1<sup>+</sup><span class="html-italic">Bst2<sup>+/+</sup></span> cDCs and CD45.2<sup>+</sup><span class="html-italic">Bst2<sup>−/−</sup></span> cDCs were mixed and stimulated with 1 μg/mL of LPS. After an hour of stimulation, cDCs were injected into the footpads of recipient mice and analyzed at 1.5 and 2.5 days post-transfer. The quality of cDCs was accessed before transfer by Annexin V staining. (<b>B</b>,<b>C</b>) Mixed cDCs were injected into <span class="html-italic">Bst2<sup>+/+</sup></span> (<b>B</b>) or <span class="html-italic">Bst2<sup>−/−</sup></span> (<b>C</b>) recipient mice, and the migrated DCs in dLN were analyzed by FACS and cell counting. The numbers on the y axis indicate the absolute number of cDCs in each dLN. Connected horizon bars indicate results from each individual recipient mouse. Representative data are shown as mean from at least three independent experiments with similar results. * <span class="html-italic">p</span> &lt; 0.05 and ns, not significant.</p>
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<p>BST2-mediated migration is involved in overall immune responses. (<b>A</b>) OVA323-339-pulsed cDCs were injected into the footpads of OT-2 transgenic mice. The dLN cells were analyzed at 4 days post-transfer. Total cell number in the dLN (left) and the percentage of TCRVα2<sup>+</sup> T cells (right) were analyzed by FACS and cell counting. (<b>B</b>) The dLN cells primed with Bst2<sup>+/+</sup> and Bst2<sup>−/−</sup> cDCs were labeled with CFSE and re-stimulated with OVA323-339-pulsed Bst2<sup>+/+</sup> cDCs for 24 h. The amount of IFNγ in the cell culture supernatants was measured by ELISA. (<b>C</b>) The dLN cells primed with Bst2<sup>+/+</sup> cDCs were labeled with CFSE and re-stimulated with OVA323-339-pulsed Bst2<sup>+/+</sup> or Bst2<sup>−/−</sup> cDCs for 24 h. The amount of IFNγ in the cultured supernatants was measured by ELISA. (<b>D</b>) After 3 weeks of immunization, OVA-specific IgG and IgM in the sera were measured by ELISA. The arrows on the horizontal axes indicate immunization points. (<b>E</b>) Whole splenocytes were re-stimulated with OVA protein for 24 h, and the amounts of IFNγ and IL-4 were measured by ELISA. Representative data are shown as mean ± S.D. from at least three independent experiments with similar results. * <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; 0.0001 and ns, not significant. ND, not detectable.</p>
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<p>BST2-mediated DC migration is associated with optimal protection against MA-IAV. (<b>A</b>) Experimental scheme of DC vaccination. Bst2<sup>+/+</sup> or Bst2<sup>−/−</sup> cDCs sorted by MACS were incubated with 5 Multiplicity of Infection (MOI) of MA-IAV and 1 μg/mL of LPS and were injected intraperitoneally into Bst2<sup>+/+</sup> C57BL/6 mice. (<b>B</b>) Body weights of MA-IAV-infected mice were measured daily for 7 days. (<b>C</b>) After 4 days of virus challenge, antibody titers of MA-IAV-specific total IgG, IgG2a, and IgG1 in the infected mice serum were measured by ELISA. (<b>D</b>) After 7 days of challenge, a neutralization assay against MA-IAV was performed using the mice serum. (<b>E</b>) After 4 days of challenge, virus titration of MA-IAV in the lungs was measured using a plaque assay. (<b>F</b>) Lung histology in vaccinated and infected mice. Representative micrographs of lung section stained with hematoxylin and eosin (H&amp;E) are shown to determine global morphologic changes. Scale bar = 200 μm. Inflammation-based consolidation (open arrow) and cell infiltration (closed arrow) are indicated. Representative data are mean ± S.D. from at least three independent experiments (<span class="html-italic">n</span> = 3 recipients/naïve group, <span class="html-italic">n</span> = 6–7 recipients/infected group) with similar results. * <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; 0.0001 and ns, not significant.</p>
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<p>BST2-mediated DC migration is associated with the development of the effector T cell. Splenocytes from virus-infected mice were co-cultured with an equal number of MA-IAV-infected Bst2<sup>+/+</sup> splenocytes. (<b>A</b>) After 3.5 days of re-stimulation, CD4+ (top) and CD8+ (bottom) T cells from the re-stimulated splenocytes were analyzed for effector T cell surface marker expression. The percentage of CD44<sup>+</sup>CD62L<sup>−</sup> effector T cells was measured by FACS analysis. (<b>B</b>) After 1.5 days of re-stimulation, cultured splenocytes were treated with Golgistop, and the percentage of IFNγ-expressing T cells (CD3ε-gated) was determined by FACS analysis. (<b>C</b>) MA-IAV-specific cytokine secretion was measured by ELISPOT. (<b>D</b>) MA-IAV-specific cytokine secretion was also quantified by ELISA. (<b>E</b>) CTL response was measured using a calcein-AM release assay with MA-IAV-infected, calcein-labeled EL4 cells as targets. Re-stimulated splenocytes were co-cultured with target cells for 3 h. The percentage of specific lysis was calculated using the formula described in the Materials and Methods. Representative data are presented as mean ± S.D. from at least three independent experiments (<b>A</b>,<b>B</b>,<b>D</b>) or two independent experiments (<b>C</b>,<b>E</b>) with similar results; * <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, **** <span class="html-italic">p</span> &lt; 0.0001 and ns, not significant.</p>
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<p>Clinical scores and collagen-specific IgG levels in the serum of each group of arthritic BST2-heterozygous and BST2-deficient mice. (<b>A</b>) Percentage of arthritic DBA1/J mice in each group. (<b>B</b>) Clinical scores of arthritis in DBA1/J BST2-heterozygous and BST2-deficient mice. Each paw was scored from 0 to 4 according to arthritis severity, with a maximum score of 16 per mouse. (<b>C</b>) ELISA evaluation of B cell response levels through collagen-specific IgG in each group of DBA1/J BST2-heterozygous and BST2-deficient mice. Samples were diluted from 1:2500 to 250,000 to evaluate the presence of collagen-reactive mouse IgG at day 45. (<b>D</b>) ELISA evaluation of collagen-reactive mouse IgG at days 7, 45, and 52. Samples were diluted 1:2500. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001 and ns, not significant.</p>
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12 pages, 394 KiB  
Article
The Epidemiology and Health Burdens of Influenza Infections Amongst Hospitalized Children Under 5 Years of Age in Jordan: A National Multi-Center Cross-Sectional Study
by Munir Abu-Helalah, Samah F. Al-Shatnawi, Mohammad Abu Lubad, Enas Al-Zayadneh, Mohammad Al-Hanaktah, Mea’ad Harahsheh, Montaha AL-Iede, Omar Nafi, Ruba Yousef, Ihsan Almaaitah, Mai Ababneh, Toqa AlZubi, Rand Abu Mahfouz, Heba Adaylah, Hamzeh AlHajaj, Mohammad Al Tamimi and Simon B. Drysdale
Vaccines 2025, 13(1), 12; https://doi.org/10.3390/vaccines13010012 - 26 Dec 2024
Viewed by 445
Abstract
Background/Objectives: Seasonal influenza is a significant global health concern, causing substantial morbidity and mortality, particularly among high-risk groups such as children under five years old. There is scarce local evidence from developing countries such as Jordan on the burden of influenza, which has [...] Read more.
Background/Objectives: Seasonal influenza is a significant global health concern, causing substantial morbidity and mortality, particularly among high-risk groups such as children under five years old. There is scarce local evidence from developing countries such as Jordan on the burden of influenza, which has limited preventive measures. This multi-center national cross-sectional study aimed to assess the epidemiological and clinical burden of influenza among hospitalized children under five years old in Jordan. Methods: Data were collected from 1000 participants across four hospitals between November 2022 and April 2023. Nasopharyngeal specimens were analyzed using multiplex RT-PCR to determine positivity for influenza A and B. Results: We found a 9.9% positivity rate, predominantly influenza A (8.4%), while influenza B was positive among 1.5% of the participants. Positivity rates were higher in older age groups, particularly children older than 2 years. Influenza-positive cases exhibited longer fever durations and higher rates of sore throat. There were no positive influenza cases among participants if they or any of their family members received the influenza vaccine, highlighting the vaccine’s protective role. Logistic regression analysis identified maternal smoking during pregnancy as a significant predictor of influenza positivity. Conclusions: The findings of this study underscore the need for enhanced vaccination efforts and public health policies targeting young children and pregnant women in Jordan. Expanding vaccination uptake could significantly mitigate the burden of influenza and its complications in this vulnerable population. Full article
(This article belongs to the Special Issue Vaccination, Public Health and Epidemiology)
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<p>Influenza positivity rate by age group.</p>
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18 pages, 1527 KiB  
Article
Intranasal Immunization with DNA Vaccine HA-CCL19/Polyethylenimine/Chitosan Composite Provides Immune Protection Against H7N9 Infection
by Yuqing Xiang, Hongbo Zhang, Youcai An and Ze Chen
Vaccines 2025, 13(1), 10; https://doi.org/10.3390/vaccines13010010 - 26 Dec 2024
Viewed by 358
Abstract
Background/Objectives: The H7N9 avian influenza virus (AIV) constitutes a novel subtype of influenza virus that has emerged within the past decade. Empirical studies have demonstrated that H7N9 AIV holds the potential to trigger a human pandemic. Vaccines constitute the sole armament available to [...] Read more.
Background/Objectives: The H7N9 avian influenza virus (AIV) constitutes a novel subtype of influenza virus that has emerged within the past decade. Empirical studies have demonstrated that H7N9 AIV holds the potential to trigger a human pandemic. Vaccines constitute the sole armament available to humanity in combating influenza epidemics. DNA vaccines present numerous merits; however, substantial conundrums persist regarding how to augment their immunogenicity and implement their delivery through mucosal immunization. Methods: In this study; BALB/c mice were utilized as a model to investigate the effect of CCL19 as a molecular adjuvant and to determine the immune response elicited by polyethylene imine (PEI) and chitosan (CS) as adjuvants during the delivery of a DNA vaccine through the nasal mucosal route. Results: Our results revealed that the CCL19 molecular adjuvant exerts a substantial immunomodulatory enhancement effect on the H7N9-HA DNA vaccine, inducing more pronounced cellular and humoral immunity. Additionally, our results indicated that the composite formed by the HA-CCL19 DNA in combination with PEI and CS effectively activates local mucosal immunity as well as systemic humoral and cellular immunity, offering 100% protection against lethal doses of homologous virus challenges. Conclusions: CCL19 conspicuously augments the immunogenicity of the influenza virus HA DNA and conserves the integrity of the vaccine antigen. Simultaneously, CS and PEI proficiently facilitate the mucosal delivery of DNA, thereby eliciting mucosal immunity related to DNA vaccines. This study investigated the feasibility of utilizing nasal mucosa for DNA vaccine immunization, which holds significant implications for the advancement and application of DNA vaccines in public health Full article
(This article belongs to the Special Issue Novel Viral Vaccine and Molecular Immunology)
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<p>Schematic diagram of schedule of DNA vaccine immunization and following bioassays and challenges with virus. (<b>A</b>) mouse vaccinated by intramuscular electroporation; (<b>B</b>) mouse vaccinated by intranasal delivery.</p>
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<p>T cell immune response elicited by either the HA DNA vaccine or the HA-CCL19 DNA vaccine through the intramuscular administration approach. Five mice in each group were intramuscularly immunized with disparate doses of either the HA DNA vaccine or the HA-CCL19 DNA vaccine, as delineated. The interval between primary immunization and booster immunization was two weeks. Two weeks subsequent to booster immunization, spleen lymphocytes of immunized and control mice were isolated and cultivated. The expression levels of IL-2 (<b>A</b>) or IFN-γ (<b>B</b>) in the supernatant of the culture medium were determined by ELISA. A one-way analysis of variance (ANOVA) was utilized for the statistical significance assessment between the vaccinated cohorts and the control group. **** <span class="html-italic">p</span> &lt; 0.0001 represents a significant difference between the vaccinated group and the control group. ** <span class="html-italic">p</span> &lt; 0.01 represents a significant difference between the HA group and the HA-CCL19 group.</p>
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<p>The protective efficacy of diverse DNA vaccines against the challenge of lethal influenza virus subsequent to the intramuscular administration approach. As depicted in the figure, the HA DNA or HA-CCL19 DNA vaccine was administered to mice at dosages of 5 µg or 30 µg, respectively, while the control mice were immunized with an empty plasmid in the same manner, with 15 mice in each group. The interval between primary immunization and booster immunization was two weeks. Two weeks following the booster immunization, the mice were challenged with lethal H7N9 virus at a dose of 5 LD<sub>50</sub>. On the third day after the challenge, five mice from each group were randomly selected for the collection of lung tissue and the determination of the viral titer in the lung tissue; the rest of the mice were observed daily for the morbidity record. When the mice underwent a body weight reduction surpassing 25%, they were subjected to euthanasia. (<b>A</b>): body weight loss; (<b>B</b>): mortality rates; (<b>C</b>): viral titers in the lung tissue. A one-way analysis of variance (ANOVA) was utilized for the statistical significance assessment between the vaccinated cohorts and the control group. **** <span class="html-italic">p</span> &lt; 0.0001 represents a significant difference between the vaccinated group and the control group. ** <span class="html-italic">p</span> &lt; 0.01 represents a significant difference between the HA group and the HA-CCL19 group.</p>
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<p>T cell immune response elicited by the HA-CCL19 DNA vaccine or the HA-CCL19/PEI or HA-CCL19/PEI/CS composite through the intranasal administration approach. Five mice in each group were intranasally immunized with the HA-CCL19 DNA vaccine, HA-CCL19/PEI or HA-CCL19/PEI/CS composite, as delineated. The application dose of HA-CCL19 in different formulas was 30 µg per mouse. The interval between primary immunization and booster immunization was two weeks. Two weeks subsequent to booster immunization, spleen lymphocytes of immunized and control mice were isolated and cultivated. The concentration of IL-2 (<b>A</b>) or IFN-γ (<b>B</b>) in the supernatant of the culture medium were determined by ELISA. A one-way analysis of variance (ANOVA) was utilized for the statistical significance assessment between the vaccinated cohorts and the control group. **** <span class="html-italic">p</span> &lt; 0.0001 represents a significant difference between the HA-CCL19/PEI or HA-CCL19/PEI/CS composite-vaccinated group and the naked HA-CCL19 DNA vaccine group. *** <span class="html-italic">p</span> &lt; 0.001 represents a significant difference between the HA-CCL19/PEI group and the HA-CCL19/PEI/CS group.</p>
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<p>The protective efficacy of the HA-CCL19 DNA vaccine and the HA-CCL19/PEI or HA-CCL19/PEI/CS composite against the challenge of lethal influenza virus subsequent to the intranasal administration approach. Fifteen mice in each group were vaccinated with the HA-CCL19 DNA vaccine or the HA-CCL19/PEI or HA-CCL19/PEI/CS composite, respectively. The application dose of HA-CCL19 in different formula was 30 µg per mouse. The interval between primary immunization and booster immunization was two weeks. Two weeks following the booster immunization, the mice were challenged with a lethal H7N9 virus at a dose of 5 LD<sub>50</sub>. On the third day after challenge, five mice from each group were randomly selected for the collection of lung tissue and the determination of the viral titer in the lung tissue; the rest of the mice were observed daily for the morbidity record. When the mice underwent a body weight reduction surpassing 25%, they were subjected to euthanasia. (<b>A</b>): body weight loss; (<b>B</b>): mortality rates; (<b>C</b>): viral titers in the lung tissue. A one-way analysis of variance (ANOVA) was utilized for the statistical significance assessment between the vaccinated cohorts and the control group. *** <span class="html-italic">p</span> &lt; 0.001 represents a significant difference between the HA-CCL19/PEI or HA-CCL19/PEI/CS composite-vaccinated group and the naked HA-CCL19 DNA vaccine group. ** <span class="html-italic">p</span> &lt; 0.01 represents a significant difference between the HA-CCL19/PEI group and the HA-CCL19/PEI/CS group.</p>
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14 pages, 855 KiB  
Article
Evaluation of Influenza Vaccine Effectiveness from 2021 to 2024: A Guangdong-Based Test-Negative Case–Control Study
by Liyan Zhu, Ying Han, Jiahai Lu, Jianhao Tan, Conghui Liao, Cheng Guo, Qing He, Yajie Qiu, Huahua Lu, Yue Zhou, Jianrui Wei and Dandan Hu
Vaccines 2025, 13(1), 4; https://doi.org/10.3390/vaccines13010004 - 24 Dec 2024
Viewed by 404
Abstract
Background: The influenza virus’s high mutation rate requires the annual reformulation and administration of the vaccine. Therefore, its vaccine effectiveness (VE) must be evaluated annually. Aim: Estimate the effectiveness of the influenza vaccine and analyze the impact of age, seasonal variations, and the [...] Read more.
Background: The influenza virus’s high mutation rate requires the annual reformulation and administration of the vaccine. Therefore, its vaccine effectiveness (VE) must be evaluated annually. Aim: Estimate the effectiveness of the influenza vaccine and analyze the impact of age, seasonal variations, and the vaccination to sample collection interval on VE. Methods: The study used a test-negative case–control (TNCC) design to collect data from patients under 18 years of age who presented with acute respiratory infection (ARI) symptoms and underwent influenza virus testing at a national children’s regional medical center in Guangdong Province between October 2021 and January 2024, spanning three influenza seasons. VE was estimated using unconditional logistic regression. Results: A total of 27,670 patient data entries were analyzed. The VE against all influenza viruses across the three seasons was 37% (95% CI: 31–43), with the lowest VE of 24% (95% CI: 8–37) observed in the 2021–2022 season. In children aged 0.5 to <3 years, the VE was 32% (95% CI: 19–43). The effectiveness for samples collected at intervals of 0.5–2 months, 3–6 months, and over 6 months after vaccination was 39% (95% CI: 32–46), 30% (95% CI: 19–40), and 28% (95% CI: 5–46). Conclusions: Across three influenza seasons, at least one-third of vaccinated individuals were protected from influenza in outpatient settings. Given that children are at high risk, improving vaccination management is recommended, and parents should be encouraged to vaccinate their children before each influenza season. Full article
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<p>Vaccine effectiveness against outpatient cases from October 2021 to January 2024, across different influenza types and age groups. Results were adjusted for gender, age group, and sample collection month. Abbreviations: CI, confidence interval; VE, vaccine effectiveness.</p>
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<p>Vaccine effectiveness against outpatient cases from October 2021 to January 2024, across different influenza seasons and types. Results were adjusted for gender, age group, and sample collection month. Abbreviations: CI, confidence interval; VE, vaccine effectiveness.</p>
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<p>Vaccine effectiveness against outpatient cases of all influenza types from October 2021 to January 2024, across different influenza vaccination characteristics. Results were adjusted for gender, age group, and sample collection month. Abbreviations: CI, confidence interval; VE, vaccine effectiveness.</p>
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