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Search Results (703)

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Keywords = respiratory syncytial virus

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19 pages, 340 KiB  
Review
Impact of Immunosenescence on Vaccine Immune Responses and Countermeasures
by Li Chen, Chengwei Shao, Jingxin Li and Fengcai Zhu
Vaccines 2024, 12(11), 1289; https://doi.org/10.3390/vaccines12111289 - 19 Nov 2024
Viewed by 133
Abstract
The biological progression of aging encompasses complex physiological processes. As individuals grow older, their physiological functions gradually decline, including compromised immune responses, leading to immunosenescence. Immunosenescence significantly elevates disease susceptibility and severity in older populations while concurrently compromising vaccine-induced immune responses. This comprehensive [...] Read more.
The biological progression of aging encompasses complex physiological processes. As individuals grow older, their physiological functions gradually decline, including compromised immune responses, leading to immunosenescence. Immunosenescence significantly elevates disease susceptibility and severity in older populations while concurrently compromising vaccine-induced immune responses. This comprehensive review aims to elucidate the implications of immunosenescence for vaccine-induced immunity and facilitate the development of optimized vaccination strategies for geriatric populations, with specific focus on COVID-19, influenza, pneumococcal, herpes zoster, and respiratory syncytial virus (RSV) vaccines. This review further elucidates the relationship between immunosenescence and vaccine-induced immunity. This review presents a systematic evaluation of intervention strategies designed to enhance vaccine responses in older populations, encompassing adjuvant utilization, antigen doses, vaccination frequency modification, inflammatory response modulation, and lifestyle interventions, including physical activity and nutritional modifications. These strategies are explored for their potential to improve current vaccine efficacy and inform the development of next-generation vaccines for geriatric populations. Full article
16 pages, 2037 KiB  
Article
Modulation of the Gut–Lung Axis by Water Kefir and Kefiran and Their Impact on Toll-like Receptor 3-Mediated Respiratory Immunity
by Stefania Dentice Maidana, Julio Nicolás Argañaraz Aybar, Leonardo Albarracin, Yoshiya Imamura, Luciano Arellano-Arriagada, Fu Namai, Yoshihito Suda, Keita Nishiyama, Julio Villena and Haruki Kitazawa
Biomolecules 2024, 14(11), 1457; https://doi.org/10.3390/biom14111457 - 17 Nov 2024
Viewed by 485
Abstract
The beneficial effect of milk kefir on respiratory heath has been previously demonstrated; however, water kefir and kefiran in the context of respiratory viral infections have not been investigated. Water kefir and kefiran could be alternatives to milk kefir for their application in [...] Read more.
The beneficial effect of milk kefir on respiratory heath has been previously demonstrated; however, water kefir and kefiran in the context of respiratory viral infections have not been investigated. Water kefir and kefiran could be alternatives to milk kefir for their application in persons with lactose intolerance or milk allergy and could be incorporated into vegan diets. Using mice models, this work demonstrated that the oral administration of water kefir or kefiran can modulate the respiratory Toll-like receptor (TLR3)-mediated innate antiviral immunity and improve the resistance to respiratory syncytial virus (RSV) infection. The treatment of mice with water kefir or kefiran for 6 days improved the production of interferons (IFN-β and IFN-γ) and antiviral factors (Mx2, OAS1, RNAseL, and IFITM3) in the respiratory tract after the activation of the TLR3 signaling pathway, differentially modulated the balance of pro- and anti-inflammatory cytokines, reduced RSV replication, and diminished lung tissue damage. Maintaining a proper balance between anti-inflammatory and pro-inflammatory mediators is vital for ensuring an effective and safe antiviral immune response, and the results of this work show that water kefir and kefiran would help to maintain that balance promoting a controlled inflammatory response that defends against infection while minimizing tissue damage. Full article
(This article belongs to the Section Natural and Bio-derived Molecules)
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Figure 1

Figure 1
<p>Effect of water kefir and kefiran on TLR3-mediated lung damage. Mice were fed water kefir or kefiran for 6 days and stimulated on days 7, 8, and 9 with the TLR3 agonist poly(I:C) by the nasal route. Mice without water kefir or kefiran treatment and stimulated with poly(I:C) were used as control. The concentrations of broncho-alveolar lavage (BAL) proteins and albumin, the activity of BAL lactate dehydrogenase (LDH), and lung histology were determined 2 days after TLR3 activation. Hematoxylin–eosin stain of histological slices of lung micrographs at 10× are shown. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on TLR3-mediated lung inflammatory cells infiltration. Mice were fed water kefir or kefiran for 6 days and stimulated on days 7, 8 and 9 with the TLR3 agonist poly(I:C) by the nasal route. Mice without water kefir or kefiran treatment and stimulated with poly(I:C) were used as control. The numbers of broncho-alveolar lavage (BAL) leukocytes, macrophages, neutrophils, and lymphocytes were determined 2 days after TLR3 activation. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on TLR3-mediated lung cytokine response. Mice were fed water kefir or kefiran for 6 days and stimulated on days 7, 8, and 9 with the TLR3 agonist poly(I:C) by the nasal route. Mice without water kefir or kefiran treatment and stimulated with poly(I:C) were used as control. The concentrations of broncho-alveolar lavage (BAL) TNF-α, IL-6, KC, MCP-1, IFN-β, IFN-γ, IL-10, and IL-27 were determined 2 days after TLR3 activation. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on TLR3-mediated alveolar macrophages antiviral factors response. Mice were fed water kefir or kefiran for 6 days; on day 7, alveolar macrophages were collected and stimulated in vitro with the TLR3 agonist poly(I:C). Alveolar macrophages obtained from mice without water kefir or kefiran treatment and stimulated in vitro with poly(I:C) were used as control. The expressions of IFN-β, IFN-γ, Mx2, OAS1, RNAseL, and IFITM3 were determined 12 h after TLR3 activation. The results are expressed as mean ± SD. Significant differences were shown compared to the poly(I:C)-treated control alveolar macrophages at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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<p>Effect of water kefir and kefiran on the resistance to RSV infection. Mice were fed water kefir or kefiran for 6 days and challenged on day 7 with RSV by the nasal route. Mice without water kefir or kefiran treatment and infected with RSV were used as control. The RSV lung titers, the concentrations of broncho-alveolar lavage (BAL) proteins and albumin, and the activity of BAL lactate dehydrogenase (LDH) were determined 2 days after RSV challenge. The results are expressed as mean ± SD. Significant differences were shown compared to the RSV-infected control group at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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7 pages, 548 KiB  
Communication
Respiratory Viral Infection Patterns in Hospitalised Children Before and After COVID-19 in Hong Kong
by Jason Chun Sang Pun, Kin Pong Tao, Stacy Lok Sze Yam, Kam Lun Hon, Paul Kay Sheung Chan, Albert Martin Li and Renee Wan Yi Chan
Viruses 2024, 16(11), 1786; https://doi.org/10.3390/v16111786 - 17 Nov 2024
Viewed by 305
Abstract
The study highlights the significant changes in respiratory virus epidemiology following the lifting of COVID-19 restrictions. Method: In this single-centre retrospective study, the virological readouts of adenovirus (AdV), influenza virus A (IAV), influenza virus B (IBV), parainfluenza viruses (PIV) 1, 2, 3, 4, [...] Read more.
The study highlights the significant changes in respiratory virus epidemiology following the lifting of COVID-19 restrictions. Method: In this single-centre retrospective study, the virological readouts of adenovirus (AdV), influenza virus A (IAV), influenza virus B (IBV), parainfluenza viruses (PIV) 1, 2, 3, 4, respiratory syncytial virus (RSV), and coupled enterovirus and rhinovirus (EV/RV) were extracted from the respiratory specimens of paediatric patients in Hong Kong from January 2015 to February 2024. The subjects were stratified into five age groups. Results: The study included 18,737 and 6001 respiratory specimens in the pre-COVID-19 and post-COVID-19 mask mandate period, respectively. The mean age of hospitalised patients increased from 3.49 y ± 0.03 y to 4.37 y ± 0.05 y after the COVID-19 lockdown. The rates of single-virus infection and co-infection were significantly higher in the post-COVID-19 mask mandate period. The odds ratio for AdV for all age groups (OR: 4.53, 4.03, 2.32, 2.46, 1.31) and RSV in older children from 3 years old and above (OR: 1.95, 3.38, p < 0.01) were significantly elevated after the COVID-19 outbreak. Conclusions: Our findings suggest that public health measures to contain COVID-19 may have unintended consequences on children’s natural exposure and immunity to other respiratory viruses, potentially increasing their morbidity in the post-pandemic era. Full article
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Figure 1

Figure 1
<p>Prevalence of respiratory virus in paediatric in-patients before and after the SARS-CoV-2 pandemic. Monthly prevalence of detected respiratory viruses (left y-axis) with respective number of tested samples (columns in grey depicted by the right y-axis) from January 2015 to February 2024. AdV = adenovirus; IVs = influenza viruses; EV/RV = enterovirus/rhinovirus; RSV = respiratory syncytial viruses; PIVs = parainfluenza viruses.</p>
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16 pages, 3929 KiB  
Article
HSPA4 Enhances BRSV Entry via Clathrin-Mediated Endocytosis Through Regulating the PI3K–Akt Signaling Pathway and ATPase Activity of HSC70
by Yang Liu, Qiongyi Li, Shuai Shao, Xiaolan Ji, Wanning Gao, Yiyang Fan, Mingqi Liu, Yan Wang and Jialin Bai
Viruses 2024, 16(11), 1784; https://doi.org/10.3390/v16111784 - 17 Nov 2024
Viewed by 362
Abstract
Bovine respiratory syncytial virus (BRSV) is an enveloped RNA virus that utilizes clathrin-mediated endocytosis for cell entry and is a significant pathogen in bovine respiratory disease (BRD). Heat shock protein family A member 4 (HSPA4), a member of the HSP70 family, is known [...] Read more.
Bovine respiratory syncytial virus (BRSV) is an enveloped RNA virus that utilizes clathrin-mediated endocytosis for cell entry and is a significant pathogen in bovine respiratory disease (BRD). Heat shock protein family A member 4 (HSPA4), a member of the HSP70 family, is known to be involved in the progression of various cancers. However, its role in virus entry has not been previously explored. Through experiments involving Western blot analysis, virus titer, and virus copies analysis, we demonstrated that HSPA4 can regulate BRSV entry and replication. The specific regulation mode is to enhance BRSV entry by promoting clathrin-mediated endocytosis. We used Western blot, virus titer, virus copies analysis, and IFA to demonstrate that HSPA4 can promote clathrin heavy chain protein (CHC) expression and further promote BRSV entry by activating the PI3K–Akt signaling pathway. Furthermore, we observed that HSPA4 boosts the efficiency of clathrin-mediated endocytosis by increasing the ATPase activity of heat shock cognate protein 70 (HSC70), thereby facilitating BRSV entry. Additionally, our investigation into the impact of HSPA4 on the entry of other viruses revealed that HSPA4 can facilitate the entry of a variety of viruses into host cells. Full article
(This article belongs to the Section Animal Viruses)
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Figure 1

Figure 1
<p>HSPA4 is involved in BRSV replication. (<b>A</b>,<b>B</b>) MDBK cells infected with BRSV for 0 h or 24 h were collected, and HSPA4 expression was detected by Western blot and gray scale analysis. (<b>C</b>,<b>D</b>) MDBK cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, and the cells were collected 24 h later to detect HSPA4 expression by Western blot and gray scale analysis. (<b>E</b>) MDBK cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, bound with BRSV at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected, and BRSV replication was analyzed by quantifying the virus titer; (<b>F</b>) the cells were collected, and BRSV replication was analyzed by quantifying the number of virus copies. (<b>G</b>) MDBK cells were transfected with 1.5 μg of HSPA4-HA plasmids, bound with different doses of BRSV, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected and BRSV replication was analyzed by quantifying the virus titer. (<b>H</b>,<b>I</b>) MDBK cells were transfected with HSPA4-siRNA1, HSPA4-siRNA2 or HSPA4-siRNA3, and the cells were collected 24 h later to detect HSPA4 expression by Western blot and gray scale analysis. (<b>J</b>) MDBK cells were transfected with HSPA4-siRNA2 or HSPA4-siRNA3, bound with BRSV at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected, and BRSV replication was analyzed by quantifying the virus titer; (<b>K</b>) the cells were collected, and BRSV replication was analyzed by quantifying the number of virus copies. (<b>L</b>) MDBK cells were transfected with HSPA4-siRNA2, bound with different doses of BRSV, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected, and BRSV replication was analyzed by quantifying the virus titer. *, <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; ns, <span class="html-italic">p</span> &gt; 0.05.</p>
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<p>HSPA4 is involved in BRSV entry instead of attachment. (<b>A</b>) MDBK cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid and bound with BRSV at an MOI of 10 at 4 °C for 1 h; the attached virus was collected by repeated freezing and thawing at −80 °C for virus titer analysis (<b>B</b>) and virus copy analysis. (<b>C</b>) MDBK cells were transfected with HSPA4-siRNA2 or HSPA4-siRNA3 and bound with BRSV at an MOI of 10 at 4 °C for 1 h; the attached virus was collected by repeated freezing and thawing at −80 °C for virus titer analysis (<b>D</b>) and virus copy analysis. (<b>E</b>) MDBK cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, bound with BRSV at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 1 h. The cells were collected, and BRSV entry was analyzed by quantifying the number of virus copies. (<b>F</b>) MDBK cells were transfected with HSPA4-siRNA2 or HSPA4-siRNA3, bound with BRSV at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 1 h. The cells were collected, and BRSV entry was analyzed by quantifying the number of virus copies. *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ns, <span class="html-italic">p</span> &gt; 0.05.</p>
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<p>HSPA4 promotes clathrin-mediated endocytosis. (<b>A</b>) MDBK cells were treated with different concentrations of chlorpromazine for 24 h and analyzed using CCK-8 reagent to detect cell viability. (<b>B</b>,<b>D</b>) MDBK cells were transfected with HSPA4-HA plasmid or HSPA4-siRNA2 (siHSPA4) and treated with DMSO or chlorpromazine for 1 h before infecting them with BRSV for 24 h; the supernatant was collected and BRSV replication was analyzed by quantifying the virus titer. (<b>C</b>,<b>E</b>) MDBK cells were transfected with HSPA4-HA plasmid or HSPA4-siRNA2 (siHSPA4) and treated with DMSO or chlorpromazine for 1 h before infecting them with BRSV for 1 h; the cells were collected and BRSV entry was analyzed by quantifying the number of virus copies. (<b>F</b>,<b>G</b>) MDBK cells were transfected with HSPA4-HA plasmids or HSPA4-siRNA2 (siHSPA4), and the cells were collected 24 h later to detect CHC and HSPA4 expression using Western blot and gray scale analysis. *, <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; ns, <span class="html-italic">p</span> &gt; 0.05.</p>
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<p>HSPA4 regulates PI3K–Akt signaling pathway. (<b>A</b>) MDBK cells were transfected with HSPA4-siRNA2 (siHSPA4) and the cells were collected 24 h later to detect p-PI3K, p-Akt, CHC, and HSPA4 expression by Western blot and gray scale analysis. (<b>B</b>,<b>C</b>) MDBK cells were treated with different concentrations of wortmannin or Akti-1/2 for 24 h, and analyzed using CCK-8 reagent to detect cell viability. (<b>D</b>,<b>H</b>) MDBK cells were transfected with HSPA4-HA plasmid and treated with DMSO, wortmannin, or Akti-1/2 for 1 h before infecting them with BRSV for 24 h; the supernatant was collected and BRSV replication was analyzed by quantifying the virus titer. (<b>E</b>,<b>I</b>) MDBK cells were transfected with HSPA4-HA plasmid and treated with DMSO, wortmannin, or Akti-1/2 for 1 h before infecting them with BRSV for 1 h; the cells were collected and BRSV entry was analyzed by quantifying the number of virus copies. (<b>F</b>,<b>J</b>) MDBK cells were transfected with HSPA4-siRNA2 (siHSPA4) and treated with DMSO, wortmannin, or Akti-1/2 for 1 h before infecting them with BRSV for 24 h; the supernatant was collected and BRSV replication was analyzed by quantifying the virus titer. (<b>G</b>,<b>K</b>) MDBK cells were transfected with HSPA4-siRNA2 (siHSPA4) and treated with DMSO, wortmannin, or Akti-1/2 for 1 h before infecting them with BRSV for 1 h; the cells were collected and BRSV entry was analyzed by quantifying the number of virus copies. *, <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; ns, <span class="html-italic">p</span> &gt; 0.05.</p>
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<p>HSPA4 can interact with HSC70 and CHC can interact with HSP70. (<b>A</b>) MDBK cells were lysed and immunoprecipitated with anti-HSPA4 or IgG antibodies. The total cell lysates were analyzed with anti-CHC, anti-HSPA4, and anti-GAPDH antibodies. (<b>B</b>) MDBK cells were lysed and immunoprecipitated with anti-HSPA4 or IgG antibodies. The total cell lysates were analyzed with anti-HSC70, anti-HSPA4, and anti-GAPDH antibodies. (<b>C</b>) MDBK cells were lysed and immunoprecipitated with anti-CHC or IgG antibodies. The total cell lysates were analyzed with anti-HSC70, anti-CHC, and anti-GAPDH antibodies. (<b>D</b>) MDBK cells were infected with BRSV at an MOI of 5 and incubated for 1 h at 4 °C, and then incubated for 30 min at 37 °C. Confocal microscope analysis of HSC70 (red), HSPA4 (green), and cell nuclei (blue) in MDBK cells. Scale bar = 20 µm. (<b>E</b>) MDBK cells were infected with BRSV at an MOI of 5 and incubated for 1 h at 4 °C, and then incubated for 30 min at 37 °C. Confocal microscope analysis of HSC70 (red), CHC (green), and cell nuclei (blue) in MDBK cells. Scale bar = 20 µm.</p>
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<p>HSPA4 regulates the ATPase activity of HSC70. (<b>A</b>,<b>B</b>) MDBK cells were treated with different concentrations of apoptozole or VER155008 for 24 h and analyzed using CCK-8 reagent to detect cell viability. (<b>C</b>,<b>G</b>) MDBK cells were transfected with HSPA4-HA plasmid and treated with DMSO, apoptozole, or VER155008 for 1 h before infecting them with BRSV for 24 h; the supernatant was collected and BRSV replication was analyzed by quantifying the virus titer. (<b>D</b>,<b>H</b>) MDBK cells were transfected with HSPA4-HA plasmid and treated with DMSO, apoptozole, or VER155008 for 1 h before infecting them with BRSV for 1 h; the cells were collected and BRSV entry was analyzed by quantifying the number of virus copies. (<b>E</b>,<b>I</b>) MDBK cells were transfected with HSPA4-siRNA2 (siHSPA4) and treated with DMSO, apoptozole, or VER155008 for 1 h before infecting them with BRSV for 24 h; the supernatant was collected and BRSV replication was analyzed by quantifying the virus titer. (<b>F</b>,<b>J</b>) MDBK cells were transfected with HSPA4-siRNA2 (siHSPA4) and treated with DMSO, apoptozole, or VER155008 for 1 h before infecting them with BRSV for 1 h; the cells were collected and BRSV entry was analyzed by quantifying the number of virus copies. *, <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; ns, <span class="html-italic">p</span> &gt; 0.05.</p>
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<p>HSPA4 promotes the entry of a variety of viruses. (<b>A</b>,<b>B</b>) MDBK cells were infected with BoHV-1 at an MOI of 2 for 0 h or 24 h, and HSPA4 expression was detected by Western blot and gray scale analysis. (<b>C</b>) MDBK cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, bound with BoHV-1 at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected and BoHV-1 replication was analyzed by quantifying the virus titer; (<b>D</b>) the cells were transferred to 37 °C for 1 h, and BoHV-1 entry was analyzed by quantifying the number of virus copies. (<b>E</b>) MDBK cells were transfected with HSPA4-HA plasmid and treated with DMSO or chlorpromazine for 1 h before infecting them with BoHV-1 for 1 h; the cells were collected and BoHV-1 entry was analyzed by quantifying the number of virus copies. (<b>F</b>,<b>G</b>) MDBK cells were infected with BPIV3 at an MOI of 2 for 0 h or 24 h, and HSPA4 expression was detected by Western blot and gray scale analysis. (<b>H</b>) MDBK cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, bound with BPIV3 at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected and BPIV3 replication was analyzed by quantifying the virus titer; (<b>I</b>) the cells were transferred to 37 °C for 1 h and BPIV3 entry was analyzed by quantifying the number of virus copies. (<b>J</b>) MDBK cells were transfected with HSPA4-HA plasmid and treated with DMSO or chlorpromazine for 1 h before infecting them with BPIV3 for 1 h; the cells were collected and BPIV3 entry was analyzed by quantifying the number of virus copies. (<b>K</b>,<b>L</b>) Vero cells were infected with PEDV at an MOI of 2 for 0 h or 24 h, and HSPA4 expression was detected by Western blot and gray scale analysis. (<b>M</b>,<b>N</b>) Vero cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, and the cells were collected 24 h later to detect CHC and HSPA4 expression by Western blot and gray scale analysis. (<b>O</b>) Vero cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, bound with PEDV at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected and PEDV replication was analyzed by quantifying the virus titer; (<b>P</b>) the cells were transferred to 37 °C for 1 h and PEDV entry was analyzed by quantifying the number of virus copies. (<b>Q</b>) Vero cells were transfected with HSPA4-HA plasmid and treated with DMSO or chlorpromazine for 1 h before infecting them with PEDV for 1 h; the cells were collected and PEDV entry was analyzed by quantifying the number of virus copies. (<b>R</b>,<b>S</b>) PK15 cells were infected with TGEV at an MOI of 2 for 0 h or 24 h, and HSPA4 expression was detected by Western blot and gray scale analysis. (<b>T</b>,<b>U</b>) PK15 cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, and the cells were collected 24 h later to detect CHC and HSPA4 expression by Western blot and gray scale analysis. (<b>V</b>) PK15 cells were transfected with 1.0 μg or 1.5 μg of HSPA4-HA plasmid, bound with TGEV at an MOI of 2, transferred to 4 °C for 1 h, and then transferred to 37 °C for 24 h. The supernatant was collected and TGEV replication was analyzed by quantifying the virus titer; (<b>W</b>) the cells were transferred to 37 °C for 1 h and TGEV entry was analyzed by quantifying the number of virus copies. (<b>X</b>) PK15 cells were transfected with HSPA4-HA plasmid and treated with DMSO or chlorpromazine for 1 h before infecting them with TGEV for 1 h; the cells were collected and TGEV entry was analyzed by quantifying the number of virus copies. *, <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; ns, <span class="html-italic">p</span> &gt; 0.05.</p>
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<p>Model of mechanism through which HSPA4 promotes BRSV entry. The activation of the PI3K–Akt signaling pathway by HSPA4 upregulates CHC expression, thereby boosting clathrin-mediated endocytosis and promoting BRSV entry. Additionally, HSPA4 strengthens HSC70 ATPase activity to enhance the combination of ATP and HSC70, leading to the release of clathrin and improving the efficiency of clathrin-mediated endocytosis, further enhancing BRSV entry.</p>
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26 pages, 7300 KiB  
Article
Computational Evidence for Bisartan Arginine Blockers as Next-Generation Pan-Antiviral Therapeutics Targeting SARS-CoV-2, Influenza, and Respiratory Syncytial Viruses
by Harry Ridgway, Vasso Apostolopoulos, Graham J. Moore, Laura Kate Gadanec, Anthony Zulli, Jordan Swiderski, Sotirios Tsiodras, Konstantinos Kelaidonis, Christos T. Chasapis and John M. Matsoukas
Viruses 2024, 16(11), 1776; https://doi.org/10.3390/v16111776 - 14 Nov 2024
Viewed by 793
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza, and respiratory syncytial virus (RSV) are significant global health threats. The need for low-cost, easily synthesized oral drugs for rapid deployment during outbreaks is crucial. Broad-spectrum therapeutics, or pan-antivirals, are designed to target multiple viral [...] Read more.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza, and respiratory syncytial virus (RSV) are significant global health threats. The need for low-cost, easily synthesized oral drugs for rapid deployment during outbreaks is crucial. Broad-spectrum therapeutics, or pan-antivirals, are designed to target multiple viral pathogens simultaneously by focusing on shared molecular features, such as common metal cofactors or conserved residues in viral catalytic domains. This study introduces a new generation of potent sartans, known as bisartans, engineered in our laboratories with negative charges from carboxylate or tetrazolate groups. These anionic tetrazoles interact strongly with cationic arginine residues or metal cations (e.g., Zn2+) within viral and host target sites, including the SARS-CoV-2 ACE2 receptor, influenza H1N1 neuraminidases, and the RSV fusion protein. Using virtual ligand docking and molecular dynamics, we investigated how bisartans and their analogs bind to these viral receptors, potentially blocking infection through a pan-antiviral mechanism. Bisartan, ACC519TT, demonstrated stable and high-affinity docking to key catalytic domains of the SARS-CoV-2 NSP3, H1N1 neuraminidase, and RSV fusion protein, outperforming FDA-approved drugs like Paxlovid and oseltamivir. It also showed strong binding to the arginine-rich furin cleavage sites S1/S2 and S2′, suggesting interference with SARS-CoV-2’s spike protein cleavage. The results highlight the potential of tetrazole-based bisartans as promising candidates for developing broad-spectrum antiviral therapies. Full article
(This article belongs to the Special Issue Molecular Epidemiology of SARS-CoV-2, 3rd Edition)
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<p>Docking of experimental sartans (e.g., ACC519TT, Cpd13, BisA, etc.), FDA-approved sartans (e.g., candesartan, olmesartan, losartan, etc.), and known inhibitors (e.g., R1104 and R7335) of the SARS-CoV-2 NSP3 Mac1 domain. (<b>A</b>) Overview of the docking setup showing the X-ray crystallographic structure for the SARS-CoV-2 Mac1 domain, PDB 6YWL, rendered as gray ribbons, and the water-accessible surface (blue shading) with its bound native ligand, ADPR (yellow atoms as spheres). The docking region of interest in which energy grids were constructed is indicated by the walled “periodic” box with colored lines of dimensions (x/red = 26 Å, y/green = 22 Å, and z/blue = 20 Å). (<b>B</b>) Docking results for 27 selected ligands targeting the NSP3 Mac1 domain of SARS-CoV-2. Docking was carried out against two PDB crystallographic structures: 6YWL (blue bars) and 7KQP (light green bars). Ligand docking was performed using AutoDock VINA with AMBER14 force field point charges and dihedral barriers (900 runs per ligand). Docking results are expressed as ligand binding energies (kcal/mol) and calculated dissociation constants (Log10Kd in pM units). Of the 27 docked ligands, Cpd13, a di-phenylcyano-derivative of the anionic bisartan ACC519TT, exhibited the strongest Mac1 binding at 11.45 and 12.41 kcal/mol for the 6YWL and 7KQP Mac1 receptors, respectively. Compared to ACC519TT binding (10.59 and 11.84 kcal/mol, respectively, for binding to the 6YWL and 7KQP receptors), ADPR, which is the native ligand for the Mac1 domain, exhibited somewhat weaker binding (10.32 and 10.07 kcal/mol, respectively, for 6YWL and 7KQP). Surprisingly, compounds R1104 and R7335, which are experimentally proven inhibitors of the NSP3 Mac1 domain [<a href="#B52-viruses-16-01776" class="html-bibr">52</a>], exhibited poor binding energies compared to nearly all the FDA-approved and experimental sartans. (<b>C</b>) Structures of ADPR, the di-phenylcyano-(bisartan)-derivative Cpd13, and bisartan ACC519TT. Chemical key: H, hydrogen; N, nitrogen; O, oxygen; P, phosphorus. (<b>D</b>) Docking validation for ADPR: Docked ADPR pose (green C atoms as spheres) in the Mac1 receptor superimposed onto the 6YWL X-ray structure with bound ADPR (cyan C atoms as spheres). RMSD for the superimposed protein-ligand complexes was ≤ 0.0001 Å. These data indicate that AutoDock VINA was able to accurately calculate the correct X-ray pose for this complex ligand. ADPR was stabilized in the Mac1 domain by approximately six hydrogen bonds (thick yellow dashed lines), as well as pi–pi (red lines) and hydrophobic interactions (green lines). (<b>E</b>) Binding mechanism of Cpd13 (di-phenylcyano-derivative of ACC519TT) in the NSP3 Mac1 domain. The docked ligand was stabilized mainly by ionic pi–cation interactions (thin red lines) between one of the terminal phenylcyano groups and Mac1 residue Phe132. The other phenylcyano group entered hydrophobic interactions (thin green lines) with Phe156 and Ala52. Phe156 also was bonded to the phenyl group adjacent to the benzimidazole group of Cpd13 by pi–cation interactions (thin red or magenta lines). (<b>F</b>) Binding of ACC519TT (yellow C atoms rendered as tubes) in the Mac1 pocket involved numerous hydrophobic interactions (green lines) between the phenyl groups of ACC519TT and residues Ala52, Ile131, Ala129, Pro136, Leu160, Leu126, Val155, Val49, Ile23, and Phe156. Additional pi–pi interactions (red line) were observed between Phe156 and one of the phenyl groups of ACC519TT. Abbreviations: ACC519TT, benzimidazole bis-N,N’-biphenyltetrazole; ACC519T[1], benzimidazole-N-biphenyltetrazole; ADPR, adenosine 5′-diphosphoribose; Ala, alanine; AMBER, Another Model Building Energy Refinement; Asn, asparagine; Asp, aspartic acid; Azil, azilsartan; Bis, bisartan; Cande, candesartan; Epro, eprosartan; EXP3174, Gly, glycine; Irbe, irbesartan; Ile, isoleucine; Leu, leucine; Lo, losartan; Mac1- macrodomain-1; NSP3, non-structural protein 3; Olme, olmesartan; PDB, Protein Data Bank; Phe, phenylalanine; Pro, proline; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; Ser, serine; Telm, telmisartan; Val, valine; Å, angstrom.</p>
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<p>Docking of selected ligands to the SARS-CoV-2 NSP3 PLpro (PDB: 7LBR and 7JRN). Experimentally proven drugs investigated include PLpro inhibitors (i.e., XR8-89 [<a href="#B56-viruses-16-01776" class="html-bibr">56</a>]; GRL0617, Jun9-72-2, and Jun9-74-4 [<a href="#B14-viruses-16-01776" class="html-bibr">14</a>]). <b>Upper panel</b>, (<b>A</b>): The 7LBR PLpro domain X-ray crystallographic structure (blue ribbons) superimposed onto PLpro 7JRN (maroon ribbons). Overall RMSD for aligned structures = 0.478 Å. Approximate boundaries of the docking region, which contained the catalytic Cys11 residue, are indicated by the gray rectangle. The 2-phenylthiophene-based inhibitor “7LBRLignd” (XR8-89) [<a href="#B56-viruses-16-01776" class="html-bibr">56</a>] bound in the “BL2” groove proximal to the catalytic site is also indicated (cyan atoms). The 7LBR structure has been rendered as the Van der Waals surface (yellow shading). <b>Upper panel</b>, (<b>B</b>): Docked bisartan ACC519TT (dusty blue carbon atoms) superimposed on the docked PLpro inhibitor XR8-89 (maroon carbon atoms) for the 7LBR receptor. ACC519TT adopted a conformation along the BL2 groove that was similar to XR8-89 (molecule pair RMSD = 9.49 Å), with both ligands sharing a number of close contacts with 7LB6 residues, including Leu162, Tyr273, Tyr264, Pro299, Tyr268, and Gln269. Non-bond drug–receptor interactions included hydrophobic (green lines), pi–pi resonance (red lines), cation–pi (blue to light-blue lines), and hydrogen bonds (dashed yellow lines). Locations of the dual anionic tetrazole groups are labeled in blue as Tet#1 and Tet#2. <b>Upper panel</b>, (<b>C</b>): The bisartan tetrazole functionalities appeared bioisosteric with the terminal aminocyclobutane and cyclopentane groups of XR8-89. A similar relationship was observed for the central benzimidazole group of ACC519TT that overlapped the central benzene ring of XR8-89. <b>Lower panel</b>, (<b>D</b>): Docking results expressed as ligand binding energies in kcal/mol. Log<sub>10</sub>Kd values in pM units were computed from the binding energies [<a href="#B32-viruses-16-01776" class="html-bibr">32</a>]: color key: blue bars = docking to the PLpro domain of PDB 7LBR and green bars = docking to the PLpro domain of PDB 7JRN. Abbreviations: ACC519TT, benzimidazole <span class="html-italic">bis</span>-<span class="html-italic">N,N′</span>-biphenyltetrazole; ACC519T[1], benzimidazole-<span class="html-italic">N</span>-biphenyltetrazole; Azil, azilsartan; Bis, bisartan; Cande, candesartan; cpd, compound; DIZE, diminazene aceturate; Epro, eprosartan; Gln, glutamine; Gly, glycine; Irbe, irbesartan; Leu, leucine; Lo, losartan; Mac1, macrodomain-1; Met, methionine; Nirmat, nirmatrelvir; NSP3, non-structural protein 3; Olme, olmesartan; PLpro, papain-like protease; Pro, proline; RMSD, root-mean-standard deviation; RSV, respiratory syncytial virus; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; Tyr, tyrosine; XR8-89, 7:BR-Ligand; Å, Angstrom.</p>
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<p>(<b>A</b>) Docking results of selected ligands targeting the RSV F-postfusion (i.e., drug-induced) protein that mediates virus entry into host cells. In its native (host-free) state, the homotrimeric F-protein exists in a metastable “prefusigenic or prefusion” conformation and must undergo a structural rearrangement that facilitates membrane fusion [<a href="#B61-viruses-16-01776" class="html-bibr">61</a>]. Ligands were docked into the three-fold symmetric domain (3FSD) of the virion F-protein (PDB 5EA4) located in the upper (surface) central cavity where the three chains intersect, denoted in the side-view projection by the red square in (<b>B</b>). Induced-fit binding of the potent RSV F-protein inhibitor JNJ-49153390 within the 3FSD interlocks two of the protomers in the pocket, effectively stabilizing the prefusion conformation and preventing host cell fusion and infection. Docking results indicated the bisartan ACC519TT bound significantly more strongly (12.53 kcal/mol) into the 3FSD pocket compared to all other drugs tested. The binding energy of JNJ-49153390 (8.28 kcal/mol), as well as those of two other structurally similar experimentally proven F-protein inhibitors (i.e., cpd2-5EA4 and cpd44-5EA4) were substantially lower. (<b>C</b>) Structure of 5EA4 with docked ACC519TT (in the drug-bound postfusogenic conformation) showing the three color-coded protomers (Key: yellow = Chain-A; magenta = Chain-B; gray = Chain-C) in the down-axis view rotated 90° from the side view in B. (<b>D</b>) Magnified down-axis view from C showing binding mechanism of ACC519TT involving a putative tethering of all three protomers by interactions with symmetrically arranged 5EA4 residues Phe488 and Phe140 (in each chain). Unlike the binding of JNJ-49153390, ACC519TT binding also involved strong electrostatic (salt bridge/pi–cation) interactions (blue lines) of the tetrazole#2 (Tet#2) functional group with a deeply buried Arg339 residue in Chain-B. The tetrazole#1 (Tet#1) group of ACC519TT was effectively coordinated by two of the symmetrically arranged phenylalanine residues (Phe488-A and Phe488-C) through pi–pi resonance bonding (red lines). This type of dual protomer binding by ACC519TT was similar to that reported by Battles and coworkers [<a href="#B61-viruses-16-01776" class="html-bibr">61</a>] regarding JNJ-49153390. Finally, additional hydrophobic interactions (green lines) between Phe140-C and one of the phenyl groups proximal to Tet#1 and adjacent to the central benzimidazole moiety also contributed to ACC519TT stability in the 3FSD pocket. (<b>E</b>) Side-view image rotated 90° from D showing docked ACC519TT (yellow C atoms) superimposed onto the X-ray crystallographic pose of the F-protein antagonist JNJ-41953390 (magenta C atoms). This view illustrates more clearly the interaction of Tet#2 with the buried Arg339 residue of Chain-B through ionic (blue lines) and hydrogen bonding (thick dashed yellow line). (<b>F</b>) Chemical structures of the six ligands evaluated. Chemical key: O. oxygen; S, sulfur; Br, bromine; N, nitrogen. Abbreviations: ACC519TT, benzimidazole <span class="html-italic">bis</span>-<span class="html-italic">N,N′</span>-biphenyltetrazole; ACC519T[1], benzimidazole-<span class="html-italic">N</span>-biphenyltetrazole; Asp, aspartic acid; Arg, arginine; cpd, compound; F-protein, fusion protein; PDB, Protein Data Bank; Phe, phenylalanine; RSV, respiratory syncytial virus; S, sulfur; Tet, tetrazole; JNJ49153390, 5EA4-Ligand; 3FSD, 3-fold-symmetric domain.</p>
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<p>Binding of bisartan ACC519TT to the furin cleavage sites of the SARS-CoV-2 spike (S) protein. (<b>A</b>) Full-sequence homology model (Swiss Model 05) of the SARS-CoV-2 spike protein showing locations of the S’ and S1/S2 FCSs. The three homotrimeric chains are color coded: Chain-A = yellow with Van der Waals surface (yellow shading); Chain-B = green; Chain-C = blue. The model is rotated so that the S2′ FCS of Chain-A with docked bisartan ACC519TT (cyan carbon atoms) is shown located in the center of the model. (<b>B</b>) Docked pose of bisartan ACC519TT in the S1/S2 spike FCS consensus loop region showing the interaction of tetrazole#1 (Tet#1) with Arg685. (<b>C</b>) ACC519TT conformation following 90 ns of an NPT MD simulation at 311 °K, 0.9%wt/vol saline with periodic boundaries (see Methods) of an isolated model “fragment” of the S1/S2 FCS binding domain depicted in (<b>E</b>). Water and NaCl ions have been hidden for clarity. The four terminal fragment residues of the FCS model in (<b>E</b>) were capped and frozen during the MD simulation. Analysis of the MD trajectory indicated the total system energy was essentially equilibrated throughout the simulation (blue line in (<b>F</b>)). Despite the significant thermal motion of the FCS model (RMSD ranged from about 1 to 4 Å), the bisartan remained stably bound for the 90 ns duration of the MD simulation (drug RMSD ranged from about 1 to 5 Å). The comparison of the initial docked drug pose in (<b>B</b>) with that following the MD simulation (<b>C</b>) revealed that the bound ligand re-oriented, abandoning its initial Tet#1 interaction with Arg685 and establishing new stabilizing interactions with Arg residues 682 and 683 via ionic pi–cation bonding mechanisms (blue lines). Additional drug–receptor bond types included hydrophobic (green lines) and pi–pi (red lines) interactions. (<b>D</b>) Magnified view of the conformational pose of bisartan ACC519TT in the S2′ FCS pocket following VINA docking (see Methods). Details of the ligand–receptor interactions in the S2′ site are shown to the right (blue arrow). Color key: thin colored lines = primary intermolecular interactions; green = hydrophobic interactions; red = pi–pi; magenta = ionic; blue = pi–cation. Abbreviations: ACC519TT, benzimidazole <span class="html-italic">bis</span>-<span class="html-italic">N,N′</span>-biphenyltetrazole; Ala, alanine; Arg, arginine; Cys, cysteine; FCS, furin cleavage site; Ile, isoleucine; Gln, glutamine; Glu, glutamic acid; Gly, glycine; His, histidine; Leu, leucine; Lys, lysine; Phe, phenylalanine; Pro, proline; RMSD, root-mean-standard deviation; S, subunit; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; Ser, serine; Tet, tetrazole; Thr, threonine; Tyr, tyrosine.</p>
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<p>Docking of three FDA-approved drugs (orange borders), experimental drugs (purple borders), theoretical tri-tetrazole compounds (green borders), and our imidazole-biphenyltetrazole, ACC519TT (black border) to five influenza neuraminidases from the PDB. The four-letter name prefixes indicate the PDB complex from which the ligand was extracted prior to docking to the Arg-rich catalytic pocket of the apo-receptor. The number of AutoDock VINA runs per ligand ranged from 100 to 300 using AMBER14 charges and parameters. Abbreviations: ACC519TT, benzimidazole <span class="html-italic">bis</span>-<span class="html-italic">N,N′</span>-biphenyltetrazole; AMBER, Another Model Building Energy Refinement; Arg, arginine; PDB, Protein Data Bank. Chemical key: H, hydrogen; N, nitrogen; O, oxygen; S, sulfur.</p>
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<p>Mechanism of bisartan ACC519TT interactions with residues comprising the different neuraminidase catalytic domains. In four of the five neuraminidase models (i.e., 2HTQ, 6BR6, 6HP0, and 2HTU) both anionic tetrazole groups of the bisartan formed strong salt bridges (blue lines = cation–pi interactions) with two or more cationic arginine residues (carbon represented by yellow spheres). In the case of 2HU0, only one of the terminal tetrazole groups formed bonds with arginine residues (R371 and R118). The other tetrazole group formed pi–pi (red lines) and hydrophobic (green lines) interactions with Tyr347. In all the cases, the ligand displayed a “wrapped” conformation in which the tetrazole moieties were docked into positions relatively close to one another. Abbreviations: ACC519TT, benzimidazole <span class="html-italic">bis</span>-<span class="html-italic">N,N′</span>-biphenyltetrazole; Ala, alanine; Arg, arginine; Asn, asparagine; Asp, aspartate; Glu, glutamic acid; Ile, isoleucine; Lys, lysine; Pro, proline; Ser, serine; Thr, threonine; Trp, tryptophan; Tyr, tyrosine; Val, valine.</p>
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<p>Equilibrium MD of ACC519TT docked in the neuraminidase 6BR6 catalytic site (NVT ensemble, 311 °K, 0.9 wt/% NaCl, pH 7.4). (<b>A</b>) Cuboid periodic cell with boundaries = 8.0 Å from any protein atom (Na and Cl atoms are shown as yellow and green balls in solution). (<b>B</b>) Docked ACC519TT (gray carbon atoms) at t = 0 ns showing main interactions with 6BR6 receptor (Key: green lines = hydrophobic; blue lines = salt bridge [cation–pi]; and red lines = pi–pi). (<b>C</b>) <b>Upper panel:</b> Ligand binding energy in kcal/mol (blue line); note that higher values = stronger binding to the receptor. Orange line = overall system potential energy. <b>Middle panel:</b> Frame captures of the ligand–receptor complex at designated intervals (ns). <b>Lower panel:</b> Ligand radius of gyration, RMSD (blue and orange lines, respectively), and receptor RMSD (gray line). The ligand remained stably bound in the pocket for the duration of the 36 ns run simulation. This stability was reflected in the relatively consistent ligand–receptor binding energy (blue line, upper panel). Abbreviations: ACC519TT, benzimidazole <span class="html-italic">bis</span>-<span class="html-italic">N,N′</span>-biphenyltetrazole; Arg, arginine; Asp, aspartic acid; Glu, glutamic acid; His, histidine; Lys, lysine; MD, molecular dynamics; RMSD, root-mean-standard deviation; Tyr, tyrosine; Val, valine; Å, angstrom.</p>
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<p>(<b>A</b>) Minimum-energy ACC519TT–neuraminidase complex (at about 10.5 ns) extracted from the 36 ns MD trajectory of 6BR6. Blue transparent shading corresponds to the 6BR6 water-accessible surface. (<b>B</b>) The anionic tetrazole groups form stable salt-bridge (cation–pi) interactions (blue lines) involving R118, R292, and R371. These are the same three Arg residues that were involved in bonding with the dual anionic tetrazole groups of ACC519TT in the original docked configuration at t = 0 ns. Abbreviations: ACC519TT, benzimidazole <span class="html-italic">bis</span>-<span class="html-italic">N,N′</span>-biphenyltetrazole; Arg, arginine; Glu, glutamic acid; Ile, isoleucine; His, histidine; Lys, lysine; MD, molecular dynamics; Thr, threonine; Tyr, tyrosine; Val, valine.</p>
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<p>Re-docking of extracted native ligands into the catalytic pocket of the five neuraminidase models evaluated. In each case, the X-ray crystallographic structure (dusty blue carbon atoms) was superimposed against the docked complex (maroon carbon atoms) before calculating the RMSD values for the superimposed ligands. Docking to 6HP0 (RMSD = 2.7141 Å) and 2HTQ (RMSD = 0.9092 Å) yielded the best fit with their respective X-ray conformations, whereas poorer-quality fits were observed for PDB 2HU0 (RMSD = 3.2189 Å), 6BR6 (RMSD = 5.0573 Å), and 2HTU (RMSD = 4.7050 Ang). Abbreviations: Ala, alanine; Arg, arginine; Asn, asparagine; Asp, aspartic acid; His, histidine; Ile, isoleucine; Glu, glutamic acid; PDB, Protein Data Bank; RMSD, root-mean-square deviation; Ser, serine, Trp, tryptophan, Tyr, tyrosine; Å, angstrom.</p>
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<p>Docking data comparing VINA binding energies and per-atom efficiencies for 10 drugs against three different neuraminidase receptors: neuraminidase in complex with sialic acid, its single mutant 1×Mut (R153A), and the triple mutant 3×Mut (R153A-R294A-R372A).</p>
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16 pages, 4625 KiB  
Article
Burden and Risk Factors for Coinfections in Patients with a Viral Respiratory Tract Infection
by Pierachille Santus, Fiammetta Danzo, Juan Camilo Signorello, Alberto Rizzo, Andrea Gori, Spinello Antinori, Maria Rita Gismondo, Anna Maria Brambilla, Marco Contoli, Giuliano Rizzardini and Dejan Radovanovic
Pathogens 2024, 13(11), 993; https://doi.org/10.3390/pathogens13110993 - 13 Nov 2024
Viewed by 491
Abstract
Which patients should be monitored for coinfections or should receive empirical antibiotic treatment, in patients with an acute viral respiratory infection, is largely unknown. We evaluated the prevalence, characteristics, outcomes of coinfected patients, and risk factors associated with a coinfection among patients with [...] Read more.
Which patients should be monitored for coinfections or should receive empirical antibiotic treatment, in patients with an acute viral respiratory infection, is largely unknown. We evaluated the prevalence, characteristics, outcomes of coinfected patients, and risk factors associated with a coinfection among patients with an acute viral infection. A retrospective, single-center study recruited consecutive patients from October 2022 to March 2023 presenting to the emergency department with signs of a respiratory tract infection. Patients were screened for respiratory viruses and bacterial/fungal secondary infections according to local standard procedures. Outcomes included severe disease, in-hospital complications, all-cause in-hospital and ICU-related mortality, time to death, time to discharge, and time to coinfection. The analysis included 652 patients. A viral infection and a secondary bacterial/fungal infection were detected in 39.1% and 40% of cases. Compared with the rest of the cohort, coinfected patients had more frequently severe disease (88.3%, p < 0.001; 51% in patients with SARS-CoV-2) and higher in-hospital mortality (16.5%, p = 0.010). Nephropathy (OR 3.649, p = 0.007), absence of COVID-19 vaccination (OR 0.160, p < 0.001), SARS-CoV-2 infection (OR 2.390, p = 0.017), and lower blood pressure at admission (OR 0.980, p = 0.007) were independent risk factors for coinfection. Multidrug-resistant pathogens were detected in 30.8% of all coinfections. Patients with a viral infection are at high risk of bacterial coinfections, which carry a significant morbidity and mortality burden. Full article
(This article belongs to the Special Issue The Epidemiology and Diagnosis of Acute Respiratory Infections)
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<p>Flow chart describing study groups and prevalence of bacterial/fungal coinfections in patients with and without a positive viral swab.</p>
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<p>Proportion of coinfected patients (dark grey) and not coinfected patients (light grey) within each virus group.</p>
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<p>Survival curves reporting the time to infection/coinfection (<b>A</b>) and a blood/respiratory tract infection/coinfection (<b>B</b>) in patients with and without a positive viral swab. The same is reported for single viral isolates (<b>C</b>,<b>D</b>).</p>
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<p>Survival curves reporting the time to hospital discharge (<b>A</b>) and time to death from ED admission (<b>B</b>) in patients with a positive viral swab and with or without a coinfection.</p>
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<p>Prevalence of severe disease with and without a coinfection in patients with different viral isolates. Percentages are within group.</p>
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28 pages, 1184 KiB  
Review
Immune Responses to Respiratory Syncytial Virus Vaccines: Advances and Challenges
by Gabriela Souza da Silva, Sofia Giacomet Borges, Bruna Bastos Pozzebon and Ana Paula Duarte de Souza
Microorganisms 2024, 12(11), 2305; https://doi.org/10.3390/microorganisms12112305 - 13 Nov 2024
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Abstract
Respiratory Syncytial Virus (RSV) is a leading cause of acute respiratory infections, particularly in children and the elderly. This virus primarily infects ciliated epithelial cells and activates alveolar macrophages and dendritic cells, triggering an innate antiviral response that releases pro-inflammatory cytokines. However, immunity [...] Read more.
Respiratory Syncytial Virus (RSV) is a leading cause of acute respiratory infections, particularly in children and the elderly. This virus primarily infects ciliated epithelial cells and activates alveolar macrophages and dendritic cells, triggering an innate antiviral response that releases pro-inflammatory cytokines. However, immunity generated by infection is limited, often leading to reinfection throughout life. This review focuses on the immune response elicited by newly developed and approved vaccines against RSV. A comprehensive search of clinical studies on RSV vaccine candidates conducted between 2013 and 2024 was performed. There are three primary target groups for RSV vaccines: pediatric populations, infants through maternal immunization, and the elderly. Different vaccine approaches address these groups, including subunit, live attenuated or chimeric, vector-based, and mRNA vaccines. To date, subunit RSV vaccines and the mRNA vaccine have been approved using the pre-fusion conformation of the F protein, which has been shown to induce strong immune responses. Nevertheless, several other vaccine candidates face challenges, such as modest increases in antibody production, highlighting the need for further research. Despite the success of the approved vaccines for adults older than 60 years and pregnant women, there remains a critical need for vaccines that can protect children older than six months, who are still highly vulnerable to RSV infections. Full article
(This article belongs to the Special Issue Human Respiratory Syncytial Virus—Biology, Diagnosis and Prevention)
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<p>RSV vaccine types in clinical trials and approved for use. There are different RSV vaccine types: subunit vaccines, recombinant vector vaccines, live attenuated vaccines, and mRNA vaccines. Three RSV proteins, F, G, and SH, were tested in the subunit vaccine approach. The F protein-based vaccines used two different F protein conformations, post-fusion and pre-fusion. The RSV vaccines approved for use in the elderly and pregnant are subunit and mRNA vaccines based on the pre-fusion conformation.</p>
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10 pages, 703 KiB  
Article
The Impact of Palivizumab for Respiratory Syncytial Virus Prophylaxis on Preschool Childhood Asthma
by Hannah Ora Hasson, Yoav Bachar, Itai Hazan, Inbal Golan-Tripto, Aviv Goldbart, David Greenberg and Guy Hazan
Vaccines 2024, 12(11), 1269; https://doi.org/10.3390/vaccines12111269 - 10 Nov 2024
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Abstract
Background: The respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infections in infants and is associated with an increased risk of asthma development. Palivizumab, an RSV prophylactic, reduces RSV-related hospitalizations in high-risk infants, but its impact on long-term asthma [...] Read more.
Background: The respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infections in infants and is associated with an increased risk of asthma development. Palivizumab, an RSV prophylactic, reduces RSV-related hospitalizations in high-risk infants, but its impact on long-term asthma outcomes remains unclear. This study compares asthma-related healthcare utilization in preschool children born prematurely between those who received Palivizumab (the Prophylaxis (+) group) and those who did not (the Prophylaxis (–) group). Methods: This nationwide, population-based retrospective cohort study utilized data from Clalit Healthcare Services in Israel. The study included children born between 32 + 6 and 34 + 6 weeks of gestational age from 2011 to 2018. Descriptive analysis, univariate analysis, and multivariate logistic regression were performed to compare the Prophylaxis (+) and the Prophylaxis (–) groups. Results: In total, 4503 children were included, with 3287 in the Prophylaxis (+) group and 1216 in the Prophylaxis (–) group. Palivizumab administration was associated with reduced hospitalizations for RSV bronchiolitis (1.8% vs. 3.3%, p = 0.003). However, no significant differences were observed in multivariate analysis for long-term asthma outcomes, including asthma diagnosis (OR = 1.04, CI = 0.84–1.30, p = 0.7) or emergency department visits for asthma (OR = 0.79, CI = 0.54–1.17, p = 0.2). Similarly, Palivizumab administration was not associated with the purchase of short-acting beta-agonists (OR = 1.14, 95% CI 0.98–1.32, p = 0.084), inhaled corticosteroids (OR = 1.1, CI = 0.93–1.32, p = 0.3), or oral corticosteroids (OR = 1.09, CI = 0.94–1.26, p = 0.3). Conclusions: While Palivizumab effectively reduces RSV acute bronchiolitis in preterm infants, it does not significantly impact long-term preschool asthma-related healthcare utilization. Full article
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<p>Flowchart depicting the selection process for premature infants included in this study. It outlines the number of premature babies born in CHS hospitals between January 1st and December 31st, 2011–2018, and incorporates the exclusion criteria noted in the <a href="#sec2-vaccines-12-01269" class="html-sec">Section 2</a>. Demographic and clinical characteristics are detailed in <a href="#vaccines-12-01269-t001" class="html-table">Table 1</a>. The distribution of male sex and Jewish ethnicity was similar between the Prophylaxis (–) and Prophylaxis (+) groups (56% vs. 54%, <span class="html-italic">p =</span> 0.3, and 93% vs. 93%, <span class="html-italic">p</span> = 0.7, respectively). The median gestational age was slightly earlier in the Prophylaxis (+) group than in the Prophylaxis (–) group (median = 33 weeks, IQR = 33–34 vs. median = 34 weeks, IQR = 33–34, <span class="html-italic">p</span> &lt; 0.001). Birth weight was also significantly lower in the Prophylaxis (+) group than in the Prophylaxis (–) group (1979 ± 385 g vs. 2165 ± 470 g, <span class="html-italic">p</span> &lt; 0.001). Cesarean deliveries were more common in the Prophylaxis (+) group than in the Prophylaxis (–) group (57% vs. 52%, <span class="html-italic">p</span> = 0.003).</p>
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<p>(<b>A</b>,<b>B</b>) Adjusted odds ratios from multivariate logistic regression analysis comparing healthcare utilization for asthma-related outcomes between Prophylaxis (+) and Prophylaxis (–) groups. The figure presents odds ratios (ORs) with 95% confidence intervals for various asthma-related outcomes. The dashed line represents an odds ratio of 1.0, indicating no difference between the groups. All ORs are adjusted for potential confounders such as birth weight, atopic dermatitis, mode of delivery, and absolute eosinophil count.</p>
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12 pages, 1471 KiB  
Article
Observational Study on the Clinical Reality of Community-Acquired Respiratory Virus Infections in Adults and Older Individuals
by Masayuki Nagasawa, Tomohiro Udagawa, Tomoyuki Kato, Ippei Tanaka, Ren Yamamoto, Hayato Sakaguchi and Yoshiyuki Sekikawa
Pathogens 2024, 13(11), 983; https://doi.org/10.3390/pathogens13110983 - 9 Nov 2024
Viewed by 515
Abstract
The impact of common respiratory virus infections on adults and older individuals in the community is unclear, excluding seasonal influenza viruses. We examined FilmArray® tests performed on 1828 children aged <10 years and 10,803 adults, including cases with few respiratory symptoms, between January [...] Read more.
The impact of common respiratory virus infections on adults and older individuals in the community is unclear, excluding seasonal influenza viruses. We examined FilmArray® tests performed on 1828 children aged <10 years and 10,803 adults, including cases with few respiratory symptoms, between January 2021 and June 2024. Approximately 80% of the children tested positive for ≥1 viruses, while 9.5% of the adults tested positive mostly for severe acute respiratory syndrome corona virus-2 (SARS-CoV-2). Besides SARS-CoV-2 infection, 66 out of 97 patients (68.0%) aged >60 years with rhinovirus/enterovirus (RV/EV), respiratory syncytial virus (RSV), parainfluenza virus-3 (PIV-3), or human metapneumovirus (hMPV) infection required hospitalization, of whom seven died; 26 out of 160 patients (16.3%) aged <60 years required hospitalization mostly because of deterioration of bronchial asthma, with no reported deaths. In older patients with RV/EV infection, three with few respiratory symptoms died due to worsened heart failure. Although the frequency of common respiratory virus infections in older adults is low, it may be overlooked because of subclinical respiratory symptoms, and its clinical significance in worsening comorbidities in older adults should not be underestimated. Full article
(This article belongs to the Special Issue The Epidemiology and Diagnosis of Acute Respiratory Infections)
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<p>The monthly number of FilmArray® (FA) tests is shown by age group. The left figure shows the changes in the absolute number of tests. The figure on the right shows the trends in the relative proportion to the number of tests conducted on individuals aged ≥20 years.</p>
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<p>The figure on top shows the monthly trends in the number of FilmArray® (FA) tests for children (aged &lt;10 years) and the positivity rates for cases in which ≥1 respiratory virus was detected. The figure on the bottom shows the monthly number of tests and positivity rates for individuals aged ≥20 years.</p>
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<p>The absolute values (<b>top</b>) and relative proportions (<b>bottom</b>) of the number of respiratory viruses detected monthly. The figures on the left and right sides show the results for adults (aged ≥20 years) and children (aged &lt;10 years), respectively.</p>
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<p>Monthly trends in rhinovirus/enterovirus (RV/EV) (<b>top</b>) and respiratory syncytial virus (RSV) (<b>bottom</b>) cases detected in children (aged &lt;10 years) and adults (aged ≥20 years). There is a strong correlation between the trends in the number of virus cases detected in children and adults between January 2021 and June 2022, but no correlation is noted after January 2023.</p>
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<p>Consort diagram summarizing the effects of four common respiratory virus infections on adults and the older individuals in this study.</p>
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26 pages, 7974 KiB  
Review
Interactions Between Bovine Respiratory Syncytial Virus and Cattle: Aspects of Pathogenesis and Immunity
by Lariane da Silva Barcelos, Alexandra K. Ford, Matheus Iuri Frühauf, Nadalin Yandra Botton, Geferson Fischer and Mayara Fernanda Maggioli
Viruses 2024, 16(11), 1753; https://doi.org/10.3390/v16111753 - 8 Nov 2024
Viewed by 964
Abstract
Bovine respiratory syncytial virus (BRSV) is a major respiratory pathogen in cattle and is relevant to the livestock industry worldwide. BRSV is most severe in young calves and is often associated with stressful management events. The disease is responsible for economic losses due [...] Read more.
Bovine respiratory syncytial virus (BRSV) is a major respiratory pathogen in cattle and is relevant to the livestock industry worldwide. BRSV is most severe in young calves and is often associated with stressful management events. The disease is responsible for economic losses due to lower productivity, morbidity, mortality, and prevention and treatment costs. As members of the same genus, bovine and human RSV share a high degree of homology and are similar in terms of their genomes, transmission, clinical signs, and epidemiology. This overlap presents an opportunity for One Health approaches and translational studies, with dual benefits; however, there is still a relative lack of studies focused on BRSV, and the continued search for improved prophylaxis highlights the need for a deeper understanding of its immunological features. BRSV employs different host-immunity-escaping mechanisms that interfere with effective long-term memory responses to current vaccines and natural infections. This review presents an updated description of BRSV’s immunity processes, such as the PRRs and signaling pathways involved in BRSV infection, aspects of its pathogeny, and the evading mechanisms developed by the virus to thwart the immune response. Full article
(This article belongs to the Special Issue Advances in Endemic and Emerging Viral Diseases in Livestock)
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<p>Schematic representation of BRSV genome organization and virion. (<b>A</b>) The BRSV genome’s organization is shown—the genome encodes 11 proteins from its ten genes. The M2 gene encodes the M2-1 and M2-2 proteins. (<b>B</b>) The circular morphology of the virion is shown. The major attachment (G), fusion (F), and the small hydrophobic (SH) glycoproteins are embedded in the viral membrane. A matrix (M) protein layer lies underneath the viral membrane, giving the virion its overall scaffold and shape. The M2-1 protein interacts with the M and N proteins. The large polymerase subunit (L) and the phosphoprotein polymerase cofactor (P) are also associated with N and the genome. Abbreviations: NS1 and NS2 = nonstructural proteins 1 and 2; N = nucleoprotein; P = phosphoprotein; M = matrix protein; SH = small hydrophobic protein; G = major attachment glycoprotein; F = fusion protein; M2 = matrix protein 2; L = large polymerase protein; ORF1 and ORF2 = open reading frames 1 and 2. Figure created using BioRender (<a href="http://BioRender.com/a08l711" target="_blank">BioRender.com/a08l711</a>).</p>
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<p>Schematic representation of BRSV replication, images of its cytopathic effect in cell culture, and histological changes in an infected lung. (<b>A</b>) Viral entry and replication cycle. (<b>1</b>) Viral attachment and viral entry through (<b>2a</b>) direct fusion to the host cell membrane mediated by F;or (<b>2b</b>) through virions that are internalized via macropinocytosis and clathrin- or caveolin-mediated endocytosis, with fusion taking place in an endosome. (<b>3</b>) Upon fusion, the genome is released in the cytoplasm. (<b>4</b>) Transcription of mRNAs. (<b>4a</b>): Transcription occurs in an obligatorily sequential, polarized manner to generate 10 sub-genomic mRNAs following a gradient in relation to the order in which the genes appear in the ssRNA (genes located closer to the 3′ end of the ssRNA molecule are transcribed at higher levels than genes located towards the 5′ end). (<b>5</b>) The antigenome is replicated for progeny generation. (<b>6</b>) mRNA from step (<b>4</b>) is translated into viral proteins, except for G, F, and SH. (<b>7</b>) Glycoproteins G, F, and SH are synthesized in the rough endoplasmic reticulum (RER). (<b>8</b>) Glycoproteins G, F, and SH undergo maturation, modification, and packaging in the Golgi complex and are transported in vesicles to the cell membrane. (<b>9</b>) Viral assembly: The N protein binds to the newly synthesized viral RNA genome, forming a ribonucleoprotein (RNP) complex, which also includes other genome-associated proteins (P, L, and M2-1). The matrix (M) protein interacts with the RNP complex and assists its transport to the plasma membrane, where assembly occurs. The M protein bridges the RNP complex with the inner surface of the cell membrane, where the G, F, and SH proteins are embedded. (<b>10</b>) Newly formed particles bud off or stay associated with the host cell membrane. (<b>B</b>) Immunofluorescence staining of BRSV (green) in bovine turbinate infected cells displaying characteristic syncytia formation (white arrows). Cells were infected with BRSV (375) (MOI: ~0.5) and staining was performed 48 h post-infection using 0.01% BRSV anti-serum (VMRD<sup>TM</sup>, Pullman, WA, USA) and 0.4% Alexa Fluor 488 (SouthernBiotech<sup>TM</sup> Birmingham, AL, USA). Cell nuclei (blue) were counterstained with DAPI (4′,6-diamidino-2-phenylindole). (<b>C</b>) Bronchioles and alveolar spaces contain small to moderate amounts of edema, necrotic cellular debris, foamy macrophages, and fibrin. Rare syncytial cells are within bronchioles or alveolar spaces (arrowhead) (40×, H&amp;E). (<b>D</b>) Histological findings in a naturally infected calf showing bronchointerstitial pneumonia associated with BRSV. This animal also tested positive for <span class="html-italic">Histophilus somni</span>. Alveoli and bronchioles contain degenerate neutrophils, foamy macrophages, edema, and fibrin. Alveoli in most severely affected areas are indistinct. Bronchioles contain abundant cellular exudate (arrow) (10×, H&amp;E). (Image (<b>B</b>) is courtesy of Dr. Mayara Maggioli; images (<b>C</b>,<b>D</b>) are courtesy of Dr. Alexandra K. Ford). Abbreviations: NS1 and NS2 = nonstructural proteins 1 and 2; N = nucleoprotein; P = phosphoprotein; M = matrix protein; SH = small hydrophobic protein; G = major attachment glycoprotein; F = fusion protein; M2 = matrix protein 2; L = large polymerase protein; mRNA = messenger RNA; RER = rough endoplasmic reticulum. <a href="#viruses-16-01753-f002" class="html-fig">Figure 2</a>A was created using BioRender (<a href="http://BioRender.com/e26l126" target="_blank">BioRender.com/e26l126</a>).</p>
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<p>Schematic representation of the cytosolic sensing of BRSV by RIG-I, MDA-5, and NOD2. <b>Left:</b> BRSV binding and entry into the host cell, followed by the release of viral single-stranded RNA (ssRNA) into the cytoplasm. <b>Middle:</b> Viral RNA, originating both from the initial virion and from subsequent viral replication intermediates, is recognized by cytosolic sensors. RIG-I detects viral dsRNA and ssRNA with 5′-triphosphate groups; MDA-5 recognizes long dsRNA typically produced during viral replication; and NOD2 specifically senses ssRNA. Upon binding to their respective viral RNA ligands, RIG-I, MDA-5, and NOD2 undergo conformational changes, triggering downstream signaling pathways. All three sensors signal through the MAVS. MAVS then activates two key signaling cascades: the TRAF6-IKK and TBK1/IKKε pathways. TRAF6-IKK activation leads to NF-κB signaling, while TBK1/IKKε activation leads to the phosphorylation and activation of IRF3. <b>Right:</b> Once activated, NF-κB and IRF3 translocate to the nucleus, where they promote the transcription of pro-inflammatory cytokines and of type I IFNs, respectively, which play a crucial role in establishing an antiviral state. Abbreviations: BRSV = bovine respiratory syncytial virus; ssRNA = single-stranded RNA; dsRNA = double-stranded RNA; TRAF6 = tumor necrosis factor-alpha (TNF-α)-receptor-associated factor 6; NFκB = nuclear factor kappa-light-chain-enhancer of activated B-cells; IFNs = interferons; MAVS = mitochondrial antiviral-signaling protein; IKKε = inhibitor of nuclear factor kappa-B kinase ε; TBK1 = TANK binding kinase 1 (TBK1); IRF3 = interferon regulatory factor 3; NOD2 = nucleotide oligomerization domain 2; RIG-I = retinoic acid-inducible gene I; MDA-5 = melanoma differentiation-associated protein 5. Figure created using BioRender (<a href="http://BioRender.com/r20i079" target="_blank">BioRender.com/r20i079</a>).</p>
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<p>Schematic representation of endosomal and surface TLR signaling. (<b>A</b>) Recognition of F by TLR-4 culminates in NFκB activation and translocation to the nucleus, initiating the secretion of pro-inflammatory cytokines. (<b>B</b>) Recognition of dsRNA (a BRSV replication product) by TLR-3 leads to the activation of both NFκB and IRF3 and transcription of type I IFN and pro-inflammatory cytokines. Abbreviations: dsRNA = double-stranded RNA; TLR-3 and TLR-4 = toll-like receptor 3 and 4; IκBα = nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor alpha; TRIF = toll interleukin 1 receptor (TIR)-domain-containing adaptor protein inducing interferon-beta; TRAF3 and TRAF6 = tumor necrosis factor-alpha (TNF-α)-receptor-associated factor 3 and 6; NAP1 = NFκB-activating kinase (NAK)-associated protein 1 (NAP1); NFκB = nuclear factor kappa-light-chain-enhancer of activated B-cells; TBK1 = TANK binding kinase 1 (TBK1); IRF3 = interferon regulatory factor 3; TAK1 = transforming growth factor beta (TGF-β)-activated kinase 1; RIP1 = receptor-interacting protein 1; F protein = fusion protein; TIRAP = toll/interleukin-1 receptor like-domain containing adaptor protein; MyD88 = myeloid differentiation primary-response 88; IRAK1 and IRAK4 = interleukin 1 receptor (IL-1R)-associated kinase 1 and 4; IFNs = interferons. Figure created using BioRender (<a href="http://BioRender.com/l09e767" target="_blank">BioRender.com/l09e767</a>).</p>
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<p>Schematic representation of some of the respiratory syncytial virus’s immune-evading mechanisms. (<b>A</b>) NS2 interacts with the CARD domain of RIG-I; (<b>B</b>) NS1 binds to MAVS, the adaptor protein used by the RIG-I receptor on the signaling pathway. These interventions inhibit IRF3 activation, preventing downstream pathway events and hindering type I IFN production. (<b>C</b>) N protein is involved in sequestering the P65 subunit of NFκB into intracytoplasmic inclusion bodies, leading to decreased translocation to the nucleus; (<b>D</b>) The SH protein interferes with pro-inflammatory cytokines’ production through the NFκB pathway. (<b>E</b>) Interference with IRF3 and NFκB pathways modulates the function of DCs and may suppress their maturation, resulting in decreased IL-12, which is essential for CD8 T-cell differentiation and viral clearance, and increased IL-4, leading to poorly protective and potentially detrimental Th2-biased responses. (<b>F</b>) BRSV infection may induce Th17 differentiation, contributing to neutrophil accumulation, NETosis, and oxidative stress, which are thought to enhance pathology. (<b>G</b>) BRSV-secreted G protein (sG) acts as a decoy antigen, sequestering antibodies away from the actual virion. Abbreviations: BRSV = bovine respiratory syncytial virus; dsRNA = double-stranded RNA; ssRNA = single-stranded RNA; TLR-3 and TLR-4 = toll-like receptor 3 and 4; TRIF = toll interleukin 1 receptor (TIR)-domain-containing adaptor protein inducing interferon-beta; IRF3 = interferon regulatory factor 3; NFκB = nuclear factor kappa-light-chain-enhancer of activated B-cells; IL-4 and IL-12 = interleukin 4 and 12 F protein = fusion protein; SH = small hydrophobic protein; NS1 and 2 = nonstructural proteins 1 and 2; G = major attachment glycoprotein; N = nucleoprotein; MyD88 = myeloid differentiation primary-response 88; MAVS = mitochondrial antiviral-signaling protein; NOD2 = nucleotide oligomerization domain 2; RIG-I = retinoic acid-inducible gene I; MDA-5 = melanoma differentiation-associated protein 5; Th1, Th2 and Th17 = T helper cells 1, 2 and 17; IFNs = interferons. Figure created using BioRender (<a href="http://BioRender.com/e06u568" target="_blank">BioRender.com/e06u568</a>).</p>
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15 pages, 296 KiB  
Article
Burden of Respiratory Syncytial Virus Infection in Children and Older Patients Hospitalized with Asthma: A Seven-Year Longitudinal Population-Based Study in Spain
by Rosa María Gomez-Garcia, Rodrigo Jiménez-Garcia, Ana López-de-Andrés, Valentín Hernández-Barrera, David Carabantes-Alarcon, José J. Zamorano-León, Natividad Cuadrado-Corrales, Ana Jiménez-Sierra and Javier De-Miguel-Diez
Viruses 2024, 16(11), 1749; https://doi.org/10.3390/v16111749 - 7 Nov 2024
Viewed by 694
Abstract
(1) Background: To describe hospitalizations due to respiratory syncytial virus (RSV) infection among children and elderly patients with asthma. (2) Methods: We used a nationwide discharge database to select patients with asthma aged 0 to 15 years and ≥65 years admitted to Spanish [...] Read more.
(1) Background: To describe hospitalizations due to respiratory syncytial virus (RSV) infection among children and elderly patients with asthma. (2) Methods: We used a nationwide discharge database to select patients with asthma aged 0 to 15 years and ≥65 years admitted to Spanish hospitals from 2016 to 2022. (3) Results: We identified 49,086 children and 471,947 elderly patients hospitalized with asthma (3.52% and 0.51%, respectively, with RSV). The proportion of RSV increased over time in children with asthma (from 1.44% to 7.4%, p < 0.001) and in elderly individuals (from 0.17% to 1.01%, p < 0.001). Among children with RSV infection, the presence of influenza (OR 3.65; 95% CI 1.46–9.1) and pneumonia (OR 1.85; 95% CI 1.02–3.55) increased the risk of poor outcome. The presence of RSV was associated with severity in these patients, defined by use of mechanical ventilation and/or admission to the intensive care unit (OR 1.44; 95% CI 1.11–1.86). In elderly patients with RSV infection, older age, congestive heart failure, COVID-19, and pneumonia increased the risk of in-hospital mortality (IHM). However, RSV infection was not associated with IHM (OR 0.88; 95% CI 0.68–1.15) in these patients. (4) Conclusion: Our results highlight the impact of RSV infection in children and elderly patients hospitalized with asthma. Strategies to improve surveillance, prophylaxis, and management of RSV infection should be evaluated. Full article
(This article belongs to the Section Human Virology and Viral Diseases)
14 pages, 753 KiB  
Article
Impact of Respiratory Syncytial Virus (RSV) in Adults 60 Years and Older in Spain
by Sara Jimeno Ruiz, Adrián Peláez, Ángeles Calle Gómez, Mercedes Villarreal García-Lomas and Silvina Natalini Martínez
Geriatrics 2024, 9(6), 145; https://doi.org/10.3390/geriatrics9060145 - 6 Nov 2024
Viewed by 435
Abstract
Background/Objectives: Respiratory illnesses frequently lead to hospitalization in adults aged 60 and older, especially due to respiratory viral infectious (RVI). This study investigates hospitalization patterns and characteristics of RVI at HM Hospitals from October 2023 to March 2024; Methods: We retrospectively [...] Read more.
Background/Objectives: Respiratory illnesses frequently lead to hospitalization in adults aged 60 and older, especially due to respiratory viral infectious (RVI). This study investigates hospitalization patterns and characteristics of RVI at HM Hospitals from October 2023 to March 2024; Methods: We retrospectively explored hospitalizations of patients aged 60 years and older with RVIs, gathering data on demographics, clinical profiles, comorbidities, and treatments. Outcomes included hospitalization, ICU admissions, and mortality, and independent factors associated with outcomes were identified using a multi-state model; Results: From October 2023 to March 2024, from a total of 3258 hospitalizations, 1933 (59.3%) were identified as positive for RVIs. Overall, SARS-CoV-2 was the most prevalent (52.6%), followed by influenza (32.7%), and RSV (11.8%). Most RVI involved single infections (88.2%). Hospitalization rates increased with age for SARS-CoV-2 (333.4 [95% CI: 295.0–375.2] to 651.6 [95% CI: 532.1–788.4]), influenza (169.8 [95% CI: 142.6–200.7] to 518.6 [95% CI: 412.1–643.1]), and RSV (69.2 [95% CI: 52.2–90.0] to 246.0 [95% CI: 173.8–337.5]), with SARS-CoV-2 showing the highest rate, followed by influenza and RSV. In the multi-state model, RSV infection significantly increased ICU admission risk (HR: 2.1, 95%, p = 0.037). Age on admission (HR: 1.1, 95%, p < 0.001) and Charlson score (HR: 1.4, 95%, p = 0.001) were associated with transitioning from admission to death. ICU to death risks included age at admission (HR: 1.7, 95%, p < 0.001); Conclusions: RVI in adults 60 years and older are associated with high hospitalization and mortality rates, primarily driven by influenza and SARS-CoV-2, followed by RSV. Age and comorbidities significantly impact disease severity, emphasizing the need for targeted prevention and management strategies for RSV in this vulnerable population. Full article
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<p>Transformed admission rates for each of the viruses for all total admissions with a minimum age of 60 years (<b>A</b>), admissions with respiratory pathology (<b>B</b>), and admissions with a positive sample for any of the viruses of interest (<b>C</b>) per 10,000 admissions in the season from 1 October 2023 to 31 March 2024.</p>
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<p>Admission (<b>A</b>), ICU admission (<b>B</b>), and mortality (<b>C</b>) rates, and 95% confidence intervals, of patients aged 60 years and older for RVI during the season from 1 October 2023 to 31 March 2024. Rates are expressed per 10,000 admissions of patients with these characteristics and are broken down by age group. The red line symbolises the average rate per 10,000 patient admissions for each virus.</p>
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<p>Multi-state model Admission-ICU-exitus.</p>
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14 pages, 1421 KiB  
Article
Enteroviruses, Respiratory Syncytial Virus and Seasonal Coronaviruses in Influenza-like Illness Cases in Nepal
by Sanjaya K. Shrestha, Jasmin Shrestha, Binob Shrestha, Tor A. Strand, Susanne Dudman, Ashild K. Andreassen, Shree Krishna Shrestha, Anup Bastola, Prativa Pandey and Stefan Fernandez
Microbiol. Res. 2024, 15(4), 2247-2260; https://doi.org/10.3390/microbiolres15040150 - 31 Oct 2024
Viewed by 366
Abstract
Acute respiratory infection is one of the leading causes of morbidity and mortality among children in low- and middle-income countries. Due to limited diagnostic capability, many respiratory pathogens causing influenza-like illness go undetected. This study aims to detect enterovirus, respiratory syncytial virus, seasonal [...] Read more.
Acute respiratory infection is one of the leading causes of morbidity and mortality among children in low- and middle-income countries. Due to limited diagnostic capability, many respiratory pathogens causing influenza-like illness go undetected. This study aims to detect enterovirus, respiratory syncytial virus, seasonal coronavirus and respiratory pathogens other than influenza in patients with influenza-like illness. A total of 997 (54.3%) respiratory samples (collected in the years 2016–2018) were randomly selected from 1835 influenza-negative samples. The xTAG Respiratory Viral Panel (RVP) FAST v2 panel was used to detect respiratory pathogens including enterovirus/rhinovirus (EV/RV), respiratory syncytial virus (RSV) and seasonal coronavirus (HKU1, OC43, NL63 and 229E). A total of 78.7% (785/997) were positive for respiratory viruses. Of these viruses, EV/RV was detected in 36.3% (362/997), which is the highest number, followed by RSV in 13.7% (137/997). The seasonal coronaviruses HKU1 and OC43 (1.5%, 15/997), NL63 (1.2%, 12/997) and 229E (1%, 10/997) were also detected. The EV/RV-positive samples were sequenced, of which 16.7% (5/30) were confirmed as EVs and were identified as coxsackievirus (CV) types CVB5, CVB3, CV21 and CVB2. The findings of this study highlight the importance of strengthening influenza-like illness surveillance programs in the region by including other respiratory viruses in their scope besides seasonal human influenza viruses. Full article
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<p>Detection of enterovirus/rhinovirus, RSV and seasonal coronavirus in different months of the year (2016–2018).</p>
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<p>Maximum likelihood tree of 180 EV complete coding sequences (6464–6657 nt) including 175 sequences from GenBank (black) and 5 sequences obtained from this study (red). Only bootstrap values above 70 are shown. CV A21, B2, B3 and B5 sequences are located in green, blue, yellow and purple areas, respectively.</p>
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10 pages, 934 KiB  
Article
Contribution of Other Respiratory Viruses During Influenza Epidemic Activity in Catalonia, Spain, 2008–2020
by Nuria Torner, N. Soldevila, L. Basile, M. M. Mosquera, P. de Molina, M. A. Marcos, A. Martínez, M. Jané, A. Domínguez and The Working Group for the Catalan Influenza and Acute Respiratory Infection Sentinel Surveillance Network (PIDIRAC)
Microorganisms 2024, 12(11), 2200; https://doi.org/10.3390/microorganisms12112200 - 31 Oct 2024
Viewed by 452
Abstract
Background: During seasonal influenza activity, circulation of other respiratory viruses (ORVs) may contribute to the increased disease burden that is attributed to influenza without laboratory confirmation. The objective of this study was to characterize and evaluate the magnitude of this contribution over 12 [...] Read more.
Background: During seasonal influenza activity, circulation of other respiratory viruses (ORVs) may contribute to the increased disease burden that is attributed to influenza without laboratory confirmation. The objective of this study was to characterize and evaluate the magnitude of this contribution over 12 seasons of influenza using the Acute Respiratory Infection Sentinel Surveillance system in Catalonia (PIDIRAC). Methods: A retrospective descriptive study of isolations from respiratory samples obtained by the sentinel surveillance network of physicians was carried out from 2008 to 2020 in Catalonia, Spain. Information was collected on demographic variables (age, sex), influenza vaccination status, epidemic activity weeks each season, and influenza laboratory confirmation. Results: A total of 12,690 samples were collected, with 46% (5831) collected during peak influenza seasonal epidemic activity. In total, 49.6% of the sampled participants were male and 51.1% were aged <15 years. Of these, 73.7% (4298) of samples were positive for at least one respiratory virus; 79.7% (3425 samples) were positive for the influenza virus (IV), with 3067 samples positive for one IV type, 8 samples showing coinfection with two types of IV, and 350 showing coinfection of IV with more than one virus. The distribution of influenza viruses was 64.2% IVA, 35.2% IVB, and 0.1% IVC. Of the other respiratory viruses identified, there was a high proportion of human rhinovirus (32.3%), followed by human adenovirus (24.3%) and respiratory syncytial virus (18; 7%). Four percent were coinfected with two or more viruses other than influenza. The distribution of coinfections with ORVs and influenza by age groups presents a significant difference in proportions for 0–4, 5–14, 15–64 and >64 (21.5%, 10.8%, 8.2% and 7.6%: p < 0.001). A lower ORVs coinfection ratio was observed in the influenza-vaccinated population (11.9% vs. 17.4% OR: 0.64 IC 95% 0.36–1.14). Conclusions: During the weeks of seasonal influenza epidemic activity, other respiratory viruses contribute substantially, either individually or through the coinfection of two or more viruses, to the morbidity attributed to influenza viruses as influenza-like illness (ILI). The contribution of these viruses is especially significant in the pediatric and elderly population. Identifying the epidemiology of most clinically relevant respiratory viruses will aid the development of models of infection and allow for the development of targeted treatments, particularly for populations most vulnerable to respiratory viruses-induced diseases. Full article
(This article belongs to the Special Issue Emerging and Re-emerging Respiratory Viruses)
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<p>Distribution of influenza-like illness samples collected by the PIDIRAC primary care influenza surveillance of Catalonia during surveillance periods (from October to May) within each season. PIDIRAC 2008–2020.</p>
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<p>Distribution of influenza-like illness samples collected by the PIDIRAC primary care influenza surveillance of Catalonia during epidemic activity weeks within each season. PIDIRAC 2008–2020.</p>
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19 pages, 323 KiB  
Review
The Development of Animal Models for Respiratory Syncytial Virus (RSV) Infection and Enhanced RSV Disease
by Gengxin Zhang, Binbin Zhao and Jiangning Liu
Viruses 2024, 16(11), 1701; https://doi.org/10.3390/v16111701 - 30 Oct 2024
Viewed by 717
Abstract
The development of immunoprophylactic products against respiratory syncytial virus (RSV) has resulted in notable advancements, leading to an increased demand for preclinical experiments and placing greater demands on animal models. Nevertheless, the field of RSV research continues to face the challenge of a [...] Read more.
The development of immunoprophylactic products against respiratory syncytial virus (RSV) has resulted in notable advancements, leading to an increased demand for preclinical experiments and placing greater demands on animal models. Nevertheless, the field of RSV research continues to face the challenge of a lack of ideal animal models. Despite the demonstration of efficacy in animal studies, numerous RSV vaccine candidates have been unsuccessful in clinical trials, primarily due to the lack of suitable animal models. The most commonly utilized animal models for RSV research are cotton rats, mice, lambs, and non-human primates. These animals have been extensively employed in mechanistic studies and in the development and evaluation of vaccines and therapeutics. However, each model only exemplifies some, but not all, aspects of human RSV disease. The aim of this study was to provide a comprehensive summary of the disease symptoms, viral replication, pathological damage, and enhanced RSV disease (ERD) conditions across different RSV animal models. Furthermore, the advantages and disadvantages of each model are discussed, with the intention of providing a valuable reference for related RSV research. Full article
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