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18 pages, 3118 KiB  
Article
Location, Age, and Antibodies Predict Avian Influenza Virus Shedding in Ring-Billed and Franklin’s Gulls in Minnesota
by Matthew Michalska-Smith, Eva Clements, Elizabeth Rasmussen, Marie R. Culhane and Meggan E. Craft
Animals 2024, 14(19), 2781; https://doi.org/10.3390/ani14192781 - 26 Sep 2024
Abstract
Influenza A virus (IAV) is a multi-host pathogen maintained in water birds and capable of spillover into humans, wildlife, and livestock. Prior research has focused on dabbling ducks as a known IAV reservoir species, yet our understanding of influenza dynamics in other water [...] Read more.
Influenza A virus (IAV) is a multi-host pathogen maintained in water birds and capable of spillover into humans, wildlife, and livestock. Prior research has focused on dabbling ducks as a known IAV reservoir species, yet our understanding of influenza dynamics in other water birds, including gulls, is lacking. Here, we quantify morphological and environmental drivers of serological (antibody detection by ELISA) and virological (viral RNA detection by PCR) prevalence in two gull species: ring-billed (Larus delawarensis) and Franklin’s (Leucophaeus pipixcan) gulls. Across 12 months and 10 locations, we tested over 1500 gulls for influenza viral RNA, and additionally tested antibody levels in nearly 1000 of these. We find substantial virus prevalence and a large, nonoverlapping seroprevalence, with significant differences across age and species classifications. The body condition index had minimal explanatory power to predict (sero)positivity, and the effect of the surrounding environment was idiosyncratic. Our results hint at a nontrivial relationship between virus and seropositivity, highlighting serological surveillance as a valuable counterpoint to PCR. By providing indication of both past infections and susceptibility to future infections, serosurveillance can help inform the distribution of limited resources to maximize surveillance effectiveness for a disease of high human, wildlife, and livestock concern. Full article
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Figure 1

Figure 1
<p>Timeseries of virus (<b>top</b>) and serology (<b>bottom</b>) sample counts (<b>left</b>) and positivity rates (<b>right</b>), aggregated to sampling week. Colors indicate species (blue for Franklin’s gulls, green for ring-billed gulls), while shade indicates test result (dark for positive, light for negative). Orange dots indicate week containing sampling dates included in the main text analysis, i.e., dates on which at least five birds of each species were sampled at a given site (N.b. not all samples in a given sampling week necessarily meet the criteria for inclusion; likewise, though virus samples were collected from birds of each species in the first week of September, different species were captured on different sampling dates/locations, thus precluding inclusion in our analysis.).</p>
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<p>Map of the spatial distribution of sample counts and virus-/seropositivity rates at each site. Note that serology was not collected for all samples, resulting in different numbers of samples per site across the two panels. Pie-chart area scales with sample size are divided according to test result. These maps show all samples collected, with sites from which some sampling dates met our criteria for inclusion in the main text analysis (i.e., sites on which at least five birds of each species were sampled on a given date) are highlighted with orange outlines. The inset map shows our sampling region in a wider context. N.b. not all samples in an indicated sampling location necessarily meet the critieria for inclusion; only the subset of dates on which the criteria were met were included in the main text analysis.</p>
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<p>Body condition index (BCI) significantly differs between species (blue vs. green) and (to a lesser extent) age within species (light vs. dark within colors). This complicates the attribution of cross-species differences in IAV positivity to differences in BCI per se. Only includes samples collected from dates, sites where at least five birds of each species were sampled. See <a href="#app1-animals-14-02781" class="html-app">Supplementary Material Figure S7</a> for an analogous figure with the full dataset.</p>
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<p>Gulls differed in their likelihood of being found seropositive, but not virus positive, between age classes (reported <span class="html-italic">p</span>-values are the results of 2-Sample Tests of Equal Proportions). Juvenile gulls were unlikely to be seropositive, while adult gulls were more likely to be seropositive than not. For virus positivity, both age classes were more likely to be found positive than not. Analogous figure considering continuous measures of test response (cycle threshold and result-to-negative control absorbance ratio in <a href="#app1-animals-14-02781" class="html-app">Supplementary Material Figure S6</a>). Only includes samples collected from dates, sites where at least five birds of each species were sampled. See <a href="#app1-animals-14-02781" class="html-app">Supplementary Material Figures S9 and S12</a> for analogous figures with the full dataset.</p>
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<p>Gulls differed in their likelihood of being found virus- or seropositive between species (reported <span class="html-italic">p</span>-values are the results of 2-Sample Tests of Equal Proportions). While ring-billed gulls were more likely to be virus positive than Franklin’s gulls, they were less likely to be seropositive than Franklin’s gulls. For both virus- and seropositivity, Franklin’s gulls were found to be approximately equally likely to be positive or negative. Analogous figure considering continuous measures of test response (cycle threshold and result-to-negative control absorbance ratio <a href="#app1-animals-14-02781" class="html-app">Supplementary Material Figure S5</a>). Only includes samples collected from dates, sites where at least five birds of each species were sampled. See <a href="#app1-animals-14-02781" class="html-app">Supplementary Material Figures S8 and S11</a> for analogous figures with the full dataset.</p>
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<p>Relationship between ELISA result-to-negative control absorbance (s/n) ratio across different results for virus detection by PCR amplification (reported <span class="html-italic">p</span>-values are the results of 2-sample Wilcoxon Rank Sum Tests), and while gulls did not differ by virus detection in their s/n ratio when found to be seropositive, they did differ when seronegative, with virus-positive birds having slightly higher s/n ratios than virus-negative birds. That is, given seronegativity, virus-negative birds were slightly closer to our threshold for seropositivity (indicated by a dashed horizontal line) than were virus-positive birds. Interestingly, there is no difference in S/N ratio (level of antibodies) of seropositive birds that are virus positive and birds that are virus negative. Thus, antibody titer does not predict virus detection in seropositive birds; however, if birds are seronegative, then virus positivity is correlated with higher SN ratios, i.e., weaker antibody response. Only includes samples collected from dates, sites where at least five birds of each species were sampled. See <a href="#app1-animals-14-02781" class="html-app">Supplementary Material Figure S10</a> for an analogous figure with the full dataset.</p>
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12 pages, 1530 KiB  
Article
Wastewater-Based Surveillance Reveals the Effectiveness of the First COVID-19 Vaccination Campaigns in Assisted Living Facilities
by Katherine I. Brenner, Bryan Walser, Joseph Cooper and Sunny Jiang
Int. J. Environ. Res. Public Health 2024, 21(9), 1259; https://doi.org/10.3390/ijerph21091259 - 23 Sep 2024
Viewed by 367
Abstract
The COVID-19 pandemic has disproportionately affected vulnerable populations, including residents of assisted living facilities (ALFs). This study investigates the impact of non-pharmaceutical interventions (NPIs) and mass vaccination campaigns on SARS-CoV-2 transmission dynamics within four ALFs in Maricopa County, Arizona, United States from January [...] Read more.
The COVID-19 pandemic has disproportionately affected vulnerable populations, including residents of assisted living facilities (ALFs). This study investigates the impact of non-pharmaceutical interventions (NPIs) and mass vaccination campaigns on SARS-CoV-2 transmission dynamics within four ALFs in Maricopa County, Arizona, United States from January to April 2021. Initial observations reveal a significant SARS-CoV-2 prevalence in Maricopa County, with 7452 new COVID-19 cases reported on 4 January 2021. Wastewater surveillance indicates elevated viral loads within ALFs with peak concentrations reaching 1.35 × 107 genome copies/L at Facility 1 and 4.68 × 105 copies/L at Facility 2. The implementation of NPIs, including isolation protocols, resulted in a rapid decline in viral loads in wastewater. Following mass vaccination campaigns, viral loads reduced across all facilities, except Facility 4. Facility 1 demonstrated a mean viral load decrease from 1.65 × 106 copies/L to 1.04 × 103 copies/L post-vaccination, with a statistically significant U-statistic of 28.0 (p-value = 0.0027). Similar trends are observed in Facilities 2 and 3, albeit with varying degrees of statistical significance. In conclusion, this study provides evidence supporting the role of NPIs and vaccination campaigns in controlling SARS-CoV-2 transmission within ALFs. Full article
(This article belongs to the Collection COVID-19 Research)
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Figure 1
<p>Locations of assisted living facilities investigated in this case study.</p>
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<p>Flow chart of study design from wastewater sample collection and analysis to results being communicated to facilities.</p>
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<p>Wastewater SARS-CoV-2 RNA copies at each facility from 1/05/21 through 4/30/2021 over-laid with the 7-day average new case rate for Maricopa County, AZ, USA [<a href="#B21-ijerph-21-01259" class="html-bibr">21</a>]. Vaccination campaigns at each facility are labeled by vertical green dash lines. The lower limit of SARS-CoV-2 RNA detection calculated using the general concentration factor is marked by a horizontal red line.</p>
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<p>COVID-19 positive clinical cases among residents and staff in Facilities 1 and 2 overlaying the wastewater SARS-CoV-2 concentrations from two manholes. Clinical data are aggregated for Facilities 1 and 2 since staff are shared between facilities on the same campus. Number of residents with a clinical positive test is denoted as a blue circle with the number testing positive inside. Number of staff with a clinical positive test is denoted as a red circle with the number testing positive inside.</p>
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9 pages, 1531 KiB  
Review
Review of the Highly Pathogenic Avian Influenza in Argentina in 2023: Chronicle of Its Emergence and Control in Poultry
by Ariel E. Vagnozzi
Pathogens 2024, 13(9), 810; https://doi.org/10.3390/pathogens13090810 - 19 Sep 2024
Viewed by 406
Abstract
Highly pathogenic avian influenza (HPAI) is a highly contagious viral disease that represents a significant threat to poultry production worldwide. Variants of the HPAI virus (HPAIV) H5A/Goose/GuangDong/1/96 (H5 Gs/GD/96) lineage have caused five intercontinental epizootic waves, with the most recent, clade 2.3.4.4b, reaching [...] Read more.
Highly pathogenic avian influenza (HPAI) is a highly contagious viral disease that represents a significant threat to poultry production worldwide. Variants of the HPAI virus (HPAIV) H5A/Goose/GuangDong/1/96 (H5 Gs/GD/96) lineage have caused five intercontinental epizootic waves, with the most recent, clade 2.3.4.4b, reaching Argentina in February 2023. Initially detected in wild birds, the virus quickly spread to backyard and commercial poultry farms, leading to economic losses, including the loss of influenza-free status (IFS). By March/April 2023 the epidemic had peaked and vaccination was seriously considered. However, the success of strict stamping-out measures dissuaded the National Animal Health Authority (SENASA) from authorizing any vaccine. Suspected cases sharply declined by May, and the last detection in commercial poultry was reported in June. The effective control and potential eradication of HPAIV in Argentina were due to SENASA’s early detection and rapid response, supported by private companies, veterinarians, and other stakeholders. Stamping-out measures have been effective for virus elimination and reduced farm-to-farm transmission; however, as the virus of this clade may remain present in wild birds, the risk of reintroduction into poultry production is high. Therefore, maintaining continuous active surveillance will be crucial for promptly detecting any new HPAIV incursion and taking appropriate action to contain virus dissemination. Full article
(This article belongs to the Special Issue Pathogenesis, Epidemiology, and Control of Animal Influenza Viruses)
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Figure 1
<p>The graph shows the number of cases detected by RRT-PCR reported by SENASA from February to December 2023. The peak of detections in backyard and commercial poultry was observed in February and March. Between August and October, 18 cases in sea mammals were reported. Source: SENASA (<a href="https://qliksensebycores.senasa.gob.ar/sense/app/28a22e66-c131-434e-861d-213bab5efc80/sheet/cf22d176-442b-4856-ab37-5210007b06d1/state/analysis" target="_blank">https://qliksensebycores.senasa.gob.ar/sense/app/28a22e66-c131-434e-861d-213bab5efc80/sheet/cf22d176-442b-4856-ab37-5210007b06d1/state/analysis</a>, accessed on 13 August 2024).</p>
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<p>The graph shows the geographical distribution of the outbreaks of HPAIV H5 clade 2.3.4.4b in Argentina. (<b>A</b>) Commercial poultry cases, (<b>B</b>) backyard poultry cases, (<b>C</b>) wild-bird cases, and (<b>D</b>) sea mammal cases. More details are in <a href="#app1-pathogens-13-00810" class="html-app">Tables S1–S3</a>. Source: WAHIS WOAH [<a href="#B15-pathogens-13-00810" class="html-bibr">15</a>,<a href="#B16-pathogens-13-00810" class="html-bibr">16</a>].</p>
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11 pages, 1647 KiB  
Article
Update of the Genetic Variability of Monkeypox Virus Clade IIb Lineage B.1
by Fabio Scarpa, Ilenia Azzena, Alessandra Ciccozzi, Francesco Branda, Chiara Locci, Maria Perra, Noemi Pascale, Chiara Romano, Giancarlo Ceccarelli, Giuseppe Terrazzano, Pier Luigi Fiori, Massimo Ciccozzi, Marco Casu and Daria Sanna
Microorganisms 2024, 12(9), 1874; https://doi.org/10.3390/microorganisms12091874 - 11 Sep 2024
Viewed by 1326
Abstract
From 1 January 2022 to 31 May 2024, the World Health Organization (WHO) reported 97,745 laboratory-confirmed Mpox cases, including 203 deaths, across 116 countries. Despite a 2.3% decrease in new cases in May 2024 compared to April 2024, significant regional variations persist. The [...] Read more.
From 1 January 2022 to 31 May 2024, the World Health Organization (WHO) reported 97,745 laboratory-confirmed Mpox cases, including 203 deaths, across 116 countries. Despite a 2.3% decrease in new cases in May 2024 compared to April 2024, significant regional variations persist. The African Region reported the highest proportion of new cases, while other regions experienced mixed trends. Phylogenomic analyses of the Mpox virus Clade IIb lineage B.1 reveal stable genetic variability with minimal diversification. The Bayesian Skyline Plot indicates a generally stable viral population size with a modest peak in late 2023, followed by a decline. In general, the data indicate that the MPXV outbreak is primarily localized within a few consistent geographic clusters. The virus’s evolution is relatively slow, as indicated by its stable genetic variability, and Clade IIb lineage B.1 does not currently show signs of rapid genetic changes or population growth. The current low level of genetic diversity should not lead to complacency. Ongoing genomic surveillance is essential for effective outbreak management and understanding. This monitoring is crucial for identifying any shifts in the virus’s behavior or transmission, allowing for prompt public health responses and adjustments. In addition, continued vigilance is necessary to detect any new variants that might influence the outbreak’s trajectory. Full article
(This article belongs to the Special Issue Monkeypox—Current Knowledge and Future Perspectives)
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Figure 1
<p>Highlights of all clades and lineages of MPXV collected between June 22 and July 2024 in the time-scaled phylogenetic tree constructed with 3822 complete genomes (last updated 31 July 2024. (<b>A</b>) Terminals labeled according to the GISAID Clade of belonging. (<b>B</b>) Terminals labeled according to the country of origin. The figure has been edited using the software GIMP 2.8 (available at <a href="https://www.gimp.org/downloads/oldstable/" target="_blank">https://www.gimp.org/downloads/oldstable/</a>, accessed on 7 August 2024).</p>
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<p>(<b>A</b>) Bayesian Skyline Plot (BSP) for the MPXV Clade IIb lineages B.1. This plot shows the genetic variability and thus the effective viral population size (<span class="html-italic">y</span>-axis) over time (<span class="html-italic">x</span>-axis). (<b>B</b>) Lineages Through Times (LTT). The number of lineages (<span class="html-italic">y</span>-axis) is displayed as a function of time (<span class="html-italic">x</span>-axis). Thin lines represent the 95% high posterior density (HPD) interval.</p>
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<p>Trend of confirmed cases of Mpox in the six WHO regions from January 2022 to June 2024. For details on the exact number of cases, see <a href="#microorganisms-12-01874-t001" class="html-table">Table 1</a>.</p>
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12 pages, 1425 KiB  
Article
Comparison of Extraction Methods for the Detection of Avian Influenza Virus RNA in Cattle Milk
by Chantal J. Snoeck, Aurélie Sausy, Manon Bourg and Judith M. Hübschen
Viruses 2024, 16(9), 1442; https://doi.org/10.3390/v16091442 - 10 Sep 2024
Viewed by 553
Abstract
Since early 2024, a multistate outbreak of highly pathogenic avian influenza H5N1 has been affecting dairy cattle in the USA. The influenza viral RNA concentrations in milk make it an ideal matrix for surveillance purposes. However, viral RNA detection in multi-component fluids such [...] Read more.
Since early 2024, a multistate outbreak of highly pathogenic avian influenza H5N1 has been affecting dairy cattle in the USA. The influenza viral RNA concentrations in milk make it an ideal matrix for surveillance purposes. However, viral RNA detection in multi-component fluids such as milk can be complex, and optimization of influenza detection methods is thus required. Raw bulk tank milk and mastitis milk samples were artificially contaminated with an avian influenza strain and subjected to five extraction methods. HCoV-229E and synthetic RNA were included as exogenous internal process controls. Given the high viral load usually observed in individual raw milk samples, four out of five tested methods would enable influenza detection in milk with normal texture, over a time window of at least 2 weeks post-onset of clinical signs. Nevertheless, sample dilution 1:3 in molecular transport medium prior to RNA extraction provided the best results for dilution of inhibitory substances and a good recovery rate of influenza RNA, that reached 12.5 ± 1.2% and 10.4 ± 3.8% in two independent experiments in bulk milk and 11.2 ± 3.6% and 10.0 ± 2.9% on two cohorts of mastitis milk samples. We have also shown compatibility of an influenza RT-qPCR system with synthetic RNA detection for simultaneous validation of the RNA extraction and RT-qPCR processes. Full article
(This article belongs to the Special Issue Advances in Animal Influenza Virus Research: Third Edition)
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Figure 1
<p><b>Schematic illustration of the five methods compared for viral RNA extraction of IAV in cattle milk.</b> Method M1 corresponds to the manufacturer’s instructions with RNA extraction directly from 140 µL of medium or milk. For methods M2 or M3, milk samples were diluted 1:1 (method M2) or 1:3 (method M3) in molecular transport medium prior to RNA extraction from the diluted sample. For method M4, a swab was dipped into undiluted milk prior to being discharged in molecular transport medium. RNA was extracted from the molecular transport medium. Finally, for method M5, milk was diluted 1:3 in molecular transport medium prior to RNA extraction omitting adding lysis into AVL and directly loading on the silica-based membrane spin column.</p>
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<p><b>IAV and IPC detection in virus transport medium (VTM) and raw bulk tank milk.</b> Triplicate VTM and bulk milk samples were artificially contaminated with four ten-fold dilutions of IAV and extracted with methods M1 to M4. Constant quantities of HCoV-229E and commercial IPC were added at the lysis step. (<b>A</b>) Cq values obtained with IAV-1 RT-qPCR (y-axis) corresponding to final IAV concentrations ranging from 8.2 × 10<sup>3</sup> to 8.2 × 10<sup>6</sup> gc/mL of milk (x-axis). Mean values and standard deviations from three technical replicates are shown. (<b>B</b>,<b>C</b>) Cq values from RT-qPCR detecting both hCoV-229E (<b>B</b>) and commercial IPC (<b>C</b>) in a duplex format. The results of samples contaminated with four IAV dilutions in three technical replicates each are shown. In the absence of inhibition, Cq values for HCoV-229E or commercial IPC are expected to be similar across RNA extraction methods.</p>
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<p><b>Assessment of compatibility of IAV and commercial IPC detection in IAV-2 duplex RT-qPCR system.</b> (<b>A</b>) Tenfold dilutions of A/Cambodia/E0826360/2020 (H3N2) viral RNA were tested in technical triplicates in mastermix containing no IPC and no IPC detection primers and probe (IAV target, black symbols), and mastermix containing both a constant quantity of IPC RNA (1 × 10<sup>3</sup> copies) and IPC detection primers and probe (IAV target, red symbols). Detection of IPC in the VIC channel in duplex mastermix is shown with the green symbols (IPC target). Mean Cq values and standard deviations from three technical replicates are shown. (<b>B</b>) Cq values obtained with IAV-2 singleplex RT-qPCR for samples artificially contaminated with four ten-fold dilutions of IAV and extracted with methods M1 to M4 (same as for <a href="#viruses-16-01442-f002" class="html-fig">Figure 2</a>A). Mean Cq values and standard deviations from three technical replicates are shown. (<b>C</b>) Bland–Altman plot of viral load (in log<sub>10</sub> gc/µL) measured with IAV-2 RT-qPCR in singleplex or duplex. Average mean of all differences and 95% limits of agreement are shown with dotted lines. (<b>D</b>) Cq values of detection of commercial IPC with IAV-2 duplex RT-qPCR. The results of three technical replicates of samples contaminated with four IAV dilutions are shown. Lower Cq values are systematically obtained for commercial IPC with IAV-2 duplex compared to duplex detection with HCoV-229E (<a href="#viruses-16-01442-f002" class="html-fig">Figure 2</a>C), due to higher sensitivity of IAV-2 RT-qPCR chemistry for amplification of the commercial IPC.</p>
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<p><b>IAV and IPC detection in bulk milk and individual milk samples from cows with mastitis.</b> A single IAV concentration was seeded into VTM (technical replicates, <span class="html-italic">n</span> = 3), bulk milk (technical replicates, <span class="html-italic">n</span> = 3) and mastitis milk samples (biological replicates, <span class="html-italic">n</span> = 6), while a constant concentration of commercial IPC was added at the lysis step. IAV detection was performed with IAV-2 duplex RT-qPCR. (<b>A</b>) Recovery rates, calculated as the ratio of viral loads in a sample extracted with methods M1–M4 to the average viral load in VTM with method M1. Mean values and standard deviations of the replicates are shown. (<b>B</b>) Cq values (and mean and standard deviations) for commercial IPC detection with IAV-2 duplex RT-qPCR are shown. (<b>C</b>) Viral loads measured in individual mastitis samples extracted with methods M1–M4 are displayed, with samples with curdling highlighted in red.</p>
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<p><b>IAV and IPC detection in a second set of individual milk samples from cows with mastitis.</b> A single IAV concentration was seeded into VTM, bulk milk and individual mastitis milk samples (<span class="html-italic">n</span> = 12) while constant concentration of commercial IPC was added at the lysis step. IAV detection was performed with IAV-2 duplex RT-qPCR. (<b>A</b>) Recovery rates in bulk milk (three technical replicates) and mastitis milk samples (12 biological replicates) obtained with methods M1, M3 and M5 are shown. Mean values and standard deviations of the replicates are shown. (<b>B</b>) Cq values (and mean and standard deviations) for commercial IPC detection with IAV-2 duplex RT-qPCR are shown (<b>C</b>). Viral loads measured in individual mastitis samples extracted with methods M1, M3 and M5 are displayed, with samples with curdling highlighted in red.</p>
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19 pages, 3736 KiB  
Article
Development and Validation of Serotype-Specific Blocking ELISA for the Detection of Anti-FMDV O/A/Asia1/SAT2 Antibodies
by Mohammad A. Kashem, Patrycja Sroga, Vivien Salazar, Hamza Amjad, Kate Hole, Janice Koziuk, Ming Yang, Charles Nfon and Shawn Babiuk
Viruses 2024, 16(9), 1438; https://doi.org/10.3390/v16091438 - 10 Sep 2024
Viewed by 662
Abstract
Foot-and-mouth disease (FMD) is one of the most infectious viral transboundary diseases of livestock, which causes devastating global economic losses. Different enzyme-linked immunosorbent assays (ELISAs) are used for sero-surveillance of the foot-and-mouth disease virus (FMDV). However, more sensitive, accurate, and convenient ELISAs are [...] Read more.
Foot-and-mouth disease (FMD) is one of the most infectious viral transboundary diseases of livestock, which causes devastating global economic losses. Different enzyme-linked immunosorbent assays (ELISAs) are used for sero-surveillance of the foot-and-mouth disease virus (FMDV). However, more sensitive, accurate, and convenient ELISAs are still required to detect antibodies against FMDV serotypes. The primary goal of this study was to establish serotype-specific monoclonal antibody (mAb)-based blocking ELISAs (mAb-bELISAs) that would provide better performance characteristics or be equivalent in performance characteristics compared with a conventional polyclonal antibody (pAb)-based competitive ELISA (pAb-cELISA). Four mAb-bELISAs were developed using FMDV serotype-specific mAbs for the detection of anti-FMDV/O/A/Asia1/SAT2 antibodies. Using a 50% cut-off, all four mAb-bELISAs exhibited species-independent 99.74%, 98.01%, 96.59%, and 98.55% diagnostic specificity (DSp) and 98.93%, 98.25%, 100%, and 87.50% diagnostic sensitivity (DSe) for FMDV serotypes O, A, Asia1, and SAT2, respectively. In addition, a 100% DSe of serotypes O- and SAT2-specific mAb-bELISAs was observed for porcine sera when the cut-off was 30%. All mAb-bELISAs developed in this study displayed high repeatability/reproducibility without cross-reactivity. Finally, the diagnostic performance of mAb-bELISAs was found to be better than or equivalent to compared with pAb-cELISAs, suggesting that mAb-bELISAs can be used to replace existing pAb-ELISAs for the detection of antibodies against these four FMDV serotypes. Full article
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<p>DSp and DSe of FMDV/O-specific mAb-bELISA and comparator ELISAs. (<b>A</b>) Normal distribution of PI obtained from negative serum samples of Canadian healthy animal species (n = 760; porcine, bovine, ovine, and caprine). (<b>B</b>) Frequency distribution of PI in negative animal sera (n = 760 [all species], n = 262 [porcine], n = 264 [bovine], n = 159 [ovine], and n = 75 [caprine]). (<b>C</b>) ROC curve diagnostic sensitivity analysis of FMDV/O mAb-bELISA in contrast to mAb-cELISA and pAb-cELISA. (<b>D</b>–<b>G</b>) Bar graphs show the estimated PI cut-off line and overall DSe of FMDV/O mAb-bELISA and comparator ELISAs for all animal species (<b>D</b>), porcine (<b>E</b>), bovine (<b>F</b>), and ovine (<b>G</b>). (<b>H</b>,<b>I</b>) Cross-reactivity analysis of FMDV/O mAb-bELISA using sera from experimentally infected animals, such as porcine (<b>H</b>) and bovine (<b>I</b>), with other FMDV serotypes and other vesicular diseases. In (<b>A</b>), the red vertical dashed line and grey vertical solid line represent estimated PI cut-off and mean values, respectively. Dashed lines in all bar graphs indicate the estimated PI cut-off.</p>
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<p>DSp and DSe of FMDV/SAT2-specific mAb-bELISA and comparator ELISAs. (<b>A</b>) Normal distribution of PI obtained from negative serum samples of Canadian healthy animal species (n = 1031). (<b>B</b>) Frequency distribution of PI in naïve negative animal sera (n = 1031 [all species], n = 249 [porcine], n = 263 [bovine], n = 257 [ovine], and n = 262 [caprine]). (<b>C</b>) ROC curve diagnostic sensitivity analysis of FMDV/SAT2 mAb-bELISA compared with mAb-cELISA and pAb-cELISA. (<b>D</b>–<b>G</b>) Bar graphs show the estimated PI cut-off line and overall DSe of FMDV/SAT2 mAb-bELISA and comparator ELISAs for all species (<b>D</b>), porcine (<b>E</b>), bovine (<b>F</b>), and ovine (<b>G</b>). (<b>H</b>,<b>I</b>) Cross-reactivity analysis of FMDV/SAT2 mAb-bELISA using sera from experimentally infected animals, such as porcine (<b>H</b>) and bovine (<b>I</b>), with other FMDV serotypes and other vesicular diseases. In (<b>A</b>), the red vertical dashed line and orange vertical dashed line represent estimated PI cut-off and mean values, respectively. Dashed lines in all bar graphs indicate the estimated PI cut-off.</p>
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<p>DSp and DSe of FMDV/A-specific mAb-bELISA. (<b>A</b>) Normal distribution of PI recorded from negative serum samples of Canadian healthy animal species (n = 1108). (<b>B</b>) Frequency distribution of PI in negative animal sera (n = 1108 [all species], n = 316 [porcine], n = 291 [bovine], n = 245 [ovine], and n = 256 [caprine]). (<b>C</b>) ROC curve diagnostic sensitivity analysis of FMDV/A mAb-bELISA (<b>D</b>) Bar graph shows the estimated PI cut-off line (either 50% or 60%) and overall DSe of FMDV/A mAb-bELISA for porcine, bovine, and ovine. No positive sera were tested for caprine. (<b>E</b>,<b>F</b>) Cross-reactivity analysis of FMDV/A mAb-bELISA with porcine (<b>E</b>) and bovine (<b>F</b>) sera experimentally infected with other FMDV serotypes and other vesicular diseases. In (<b>A</b>), the red vertical dashed line and grey vertical solid line represent estimated PI cut-off and mean values, respectively. Dashed lines in all bar graphs indicate the estimated PI cut-off.</p>
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<p>DSp and DSe of FMDV/Asia1-specific mAb-bELISA. (<b>A</b>) Normal distribution of PI obtained from negative serum samples of Canadian healthy animal species (n = 938). (<b>B</b>) Frequency distribution of PI in negative animal sera (n = 938 [all species], n = 264 [porcine], n = 254 [bovine], n = 146 [ovine], and n = 264 [caprine]). (<b>C</b>) ROC curve diagnostic sensitivity analysis of FMDV/Asia1 mAb-bELISA. (<b>D</b>) Bar graph shows the estimated PI cut-off line (either 50% or 60%) and overall DSe of FMDV/Asia1 mAb-bELISA for porcine, bovine, and ovine. No positive sera were tested for caprine. (<b>E</b>,<b>F</b>) Cross-reactivity analysis of FMDV/A mAb-bELISA with porcine (<b>E</b>) and bovine (<b>F</b>) sera experimentally infected with other FMDV serotypes and other vesicular diseases. In (<b>A</b>), the red vertical dashed line and grey vertical solid line represent estimated PI cut-off and mean values, respectively. Dashed lines in all bar graphs indicate the estimated PI cut-off.</p>
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<p>Detection efficiency of FMDV serotype-specific mAb-bELISAs. Pigs, cows, and sheep were experimentally infected with FMDV serotypes O/Manisa, SAT2/SAU, A22/Iraq, and Asia1/Shamir. Serially bled sera were collected at 0–30 dpi and examined by using FMDV/O mAb-bELISA (<b>A</b>), FMDV/SAT2 mAb-bELISA (<b>B</b>), FMDV/A mAb-bELISA (<b>C</b>), and FMDV/Asia1 mAb-bELISA (<b>D</b>). p—pig; c—cow; s—sheep.</p>
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10 pages, 7169 KiB  
Article
Retrospective Analyses of Porcine Circovirus Type 3 (PCV-3) in Switzerland
by Giuliana Rosato, Grace Makanaka Makoni, Àlex Cobos, Marina Sibila, Joaquim Segalés, Hanna Marti, Barbara Prähauser and Frauke Seehusen
Viruses 2024, 16(9), 1431; https://doi.org/10.3390/v16091431 - 7 Sep 2024
Viewed by 442
Abstract
Porcine circovirus 3 (PCV-3) has emerged as a significant pathogen affecting global swine populations, yet its epidemiology and clinical implications remain incompletely understood. This retrospective study aimed to investigate the prevalence and histopathological features of PCV-3 infection in pigs from Switzerland, focusing on [...] Read more.
Porcine circovirus 3 (PCV-3) has emerged as a significant pathogen affecting global swine populations, yet its epidemiology and clinical implications remain incompletely understood. This retrospective study aimed to investigate the prevalence and histopathological features of PCV-3 infection in pigs from Switzerland, focusing on archival cases of suckling and weaner piglets presenting with suggestive lesions. An in-house qPCR assay was developed for detecting PCV-3 in frozen and formalin-fixed paraffin-embedded tissues, enhancing the national diagnostic capabilities. Histopathological reassessment identified PCV-3 systemic disease (PCV-3-SD) compatible lesions in 19 (6%) of archival cases, with 47% testing positive by qPCR across various organs. Notably, vascular lesions predominated, particularly in mesenteric arteries, heart, and kidneys. The study confirms the presence of PCV-3 in Switzerland since at least 2020, marking the first documented cases within the Swiss swine population. Despite challenges in in situ hybridization validation due to prolonged formalin fixation, the findings indicate viral systemic dissemination. These results contribute to the understanding of PCV-3 epidemiology in Swiss pigs, emphasizing the need for continued surveillance and further research on its clinical implications and interaction with host factors. Our study underscores the utility and limitations of molecular techniques in confirming PCV-3 infections. Full article
(This article belongs to the Section Animal Viruses)
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<p>Examples of histopathological cardiac and renal lesions associated with PCV-3-SD: (<b>a</b>) Severe lymphoplasmacytic (peri-)arteritis in an epicardial artery, H&amp;E. Bar 250 µm; (<b>b</b>) Severe lymphoplasmacytic (peri-)arteritis in multiple arteries in the renal pelvis, H&amp;E. Bar 500 µm. Insert: Mononuclear infiltration of the arterial wall.</p>
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<p>Examples of histopathological lesions of the mesenteric vascular plexus associated with PCV-3-SD and periarteritis score: (<b>a</b>) Severe (++; ≥20% affected arteries) lymphoplasmacytic and histiocytic (peri-)arteritis in mesenteric arteries, H&amp;E. Bar 500 µm. Insert: Mononuclear infiltration in tunica adventitia; (<b>b</b>) Mild (+; ≤20% affected arteries) lymphoplasmacytic and histiocytic (peri-)arteritis in mesenteric arteries, H&amp;E. Bar 500 µm.</p>
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<p>Comparative results of ISH on the mesenteric vascular plexus between a positive control case (<b>a</b>,<b>c</b>) and the selected archival case (<b>b</b>,<b>d</b>), hematoxylin counterstain: (<b>a</b>) Marked PCV-3-ISH-RNA-positive signal in multiple arteries. Bar 250 µm; (<b>b</b>) PCV-3-ISH-RNA no to weak signal. Bar 250 µm; (<b>c</b>) Marked PCV-3-ISH-RNA-positive signal (brown) in the arterial wall. Bar 50 µm; (<b>d</b>) PCV-3-ISH-RNA-weak-positive signal (arrow) in the vascular wall of an artery. Bar 100 µm.</p>
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17 pages, 12790 KiB  
Article
Vesicular Stomatitis Virus Detected in Biting Midges and Black Flies during the 2023 Outbreak in Southern California
by Stacey L. P. Scroggs, Dustin A. Swanson, Taylor D. Steele, Amy R. Hudson, Lindsey M. Reister-Hendricks, Jessica Gutierrez, Phillip Shults, Bethany L. McGregor, Caitlin E. Taylor, Travis M. Davis, Nadine Lamberski, Kristen A. Phair, Lauren L. Howard, Nathan E. McConnell, Nikos Gurfield, Barbara S. Drolet, Angela M. Pelzel-McCluskey and Lee W. Cohnstaedt
Viruses 2024, 16(9), 1428; https://doi.org/10.3390/v16091428 - 7 Sep 2024
Viewed by 746
Abstract
Vesicular stomatitis (VS) is a viral disease that affects horses, cattle, and swine that is transmitted by direct contact and hematophagous insects. In 2023, a multi-state outbreak of vesicular stomatitis New Jersey virus (VSNJV) occurred in California, Nevada, and Texas, infecting horses, cattle, [...] Read more.
Vesicular stomatitis (VS) is a viral disease that affects horses, cattle, and swine that is transmitted by direct contact and hematophagous insects. In 2023, a multi-state outbreak of vesicular stomatitis New Jersey virus (VSNJV) occurred in California, Nevada, and Texas, infecting horses, cattle, and rhinoceros. To identify possible insect vectors, we conducted insect surveillance at various locations in San Diego County, CA, including at a wildlife park. CO2 baited traps set from mid-May to mid-August 2023 collected 2357 Culicoides biting midges and 1215 Simulium black flies, which are insect genera implicated in VSNJV transmission. Insects were pooled by species, location, and date, then tested for viral RNA. Nine RNA-positive pools of Culicoides spp. and sixteen RNA-positive pools of Simulium spp were detected. Infectious virus was detected by cytopathic effect in 96% of the RNA-positive pools. This is the first report of VSNJV in wild-caught C. bergi, C. freeborni, C. occidentalis, S. argus, S. hippovorum, and S. tescorum. The vector competency of these species for VSNJV has yet to be determined but warrants examination. Active vector surveillance and testing during disease outbreaks increases our understanding of the ecology and epidemiology of VS and informs vector control efforts. Full article
(This article belongs to the Special Issue Vesicular Stomatitis Virus (VSV))
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<p>Insect collection sites in San Diego County, California, USA. (<b>A</b>) Location of insect collection sites (black circles) and the wildlife park (yellow circle). The red highlighted box indicates the area of San Diego County (entire county boundary in black) where sampling was conducted. The red circles indicate a 10 km buffer around confirmed or suspected VS premises. (<b>B</b>) Trap locations (<span class="html-italic">n</span> = 6; A–F) at the wildlife park.</p>
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<p>Insect collections, VSNJV-positive insect pools, and positive premises during the VSNJV 2023 outbreak in San Diego County. (<b>A</b>) Abundance of individual <span class="html-italic">Culicoides</span> (pink) and <span class="html-italic">Simulium</span> (blue) collected between May and August 2023. (<b>B</b>) Prevalence of <span class="html-italic">Culicoides</span> (pink) and <span class="html-italic">Simulium</span> (blue) VSNJV-positive pools and number of newly confirmed or suspected VSNJV-positive premises by date, as reported by APHIS (gray line).</p>
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<p>VS-positive premises and insect collections during the 2023 outbreak in San Diego County. Collection locations in San Diego County of VSNJV-positive <span class="html-italic">Culicoides</span> (<b>A</b>) and <span class="html-italic">Simulium</span> (<b>B</b>) pools. Circle size indicates the total number of VSNJV-positive pools collected at each location. Color of circles designates the insect species, as indicated in the legends. Trap sites are numbered in yellow. The large red circles indicate a 10 km buffer around confirmed or suspected VS-infected premises.</p>
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<p>Collection dates of VSNJV-positive <span class="html-italic">Culicoides</span> (<b>A</b>) and <span class="html-italic">Simulium</span> (<b>B</b>) pools during the 2023 outbreak in San Diego County. Color designates the insect species, as indicated in the legends. VSNJV prevalence by species and date is located in <a href="#app1-viruses-16-01428" class="html-app">Table S3</a>.</p>
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<p>VSNJV-positive insect pools collected from 29 May to 21 August while rhinoceros were symptomatic. (<b>A</b>) Lesion onset and PCR-positive dates for probable and confirmed VS rhinoceros cases. Bars indicate the lesion time period for probable (light gray) and confirmed (dark gray) cases. Circles indicate when swabs from the rhinoceros were positive (yellow) or negative (black) for VSNJV RNA via RT-qPCR. Rhinoceros are categorized by habitat, indicated by the background color (teal, purple, and peach) and the closest trap to each habitat is specified by a letter in the top right corner (E, A). (<b>B</b>) Total number of VSNJV-positive pools by collection location (<span class="html-italic">n</span> = 6; A–F) and insect species at the wildlife park. Circle size indicates the total number of pools collected at each location that tested positive for VSNJV RNA. Color of circles indicates the insect species. Colored rhinoceros indicate the approximate location of the three rhinoceros habitats. (<b>C</b>) Species specific (<span class="html-italic">Culicoides</span> and <span class="html-italic">Simulium</span>) total number of VSNJV-positive pools by date collected at the wildlife park.</p>
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<p>Environmental conditions leading up to and during the 2023 VS outbreak compared to previous 21-year ranges. Black lines indicate (<b>A</b>) minimum temperature, (<b>B</b>) maximum temperature, (<b>C</b>) precipitation, and (<b>D</b>) vegetation greenness (NDVI) for months in water year 2023 (spanning October 2022 to September 2023). Dark gray areas indicate the interquartile ranges for water years 2001–2022. Light gray areas indicate the minimum and maximum monthly values over the 2001–2022 period. Red rectangle from May to September indicates the 2023 VSNJV outbreak.</p>
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19 pages, 945 KiB  
Review
Influenza B Virus Vaccine Innovation through Computational Design
by Matthew J. Pekarek and Eric A. Weaver
Pathogens 2024, 13(9), 755; https://doi.org/10.3390/pathogens13090755 - 2 Sep 2024
Viewed by 1208
Abstract
As respiratory pathogens, influenza B viruses (IBVs) cause a significant socioeconomic burden each year. Vaccine and antiviral development for influenza viruses has historically viewed IBVs as a secondary concern to influenza A viruses (IAVs) due to their lack of animal reservoirs compared to [...] Read more.
As respiratory pathogens, influenza B viruses (IBVs) cause a significant socioeconomic burden each year. Vaccine and antiviral development for influenza viruses has historically viewed IBVs as a secondary concern to influenza A viruses (IAVs) due to their lack of animal reservoirs compared to IAVs. However, prior to the global spread of SARS-CoV-2, the seasonal epidemics caused by IBVs were becoming less predictable and inducing more severe disease, especially in high-risk populations. Globally, researchers have begun to recognize the need for improved prevention strategies for IBVs as a primary concern. This review discusses what is known about IBV evolutionary patterns and the effect of the spread of SARS-CoV-2 on these patterns. We also analyze recent advancements in the development of novel vaccines tested against IBVs, highlighting the promise of computational vaccine design strategies when used to target both IBVs and IAVs and explain why these novel strategies can be employed to improve the effectiveness of IBV vaccines. Full article
(This article belongs to the Special Issue Computational Approaches in Mechanisms of Pathogenesis)
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<p>Seasonal patterns of IBV circulation and testing in the US. Surveillance data from the US CDC Fluview<sup>®</sup> Interactive over the previous 13 influenza seasons from 2011–2012 to 2023–2024. Seasons were broken down into 4 quarters from the start of the US influenza season (week 40 of the calendar year) to best observe intraseasonal circulation patterns. A percent positivity rate was calculated by dividing the number of IBV positive tests within each quarter by the total number of tests completed in the quarter and is plotted on the left y-axis. Data were combined from public health and clinical labs. The total number of tests completed for each season is plotted on the right y-axis. Only data from completed quarters were included for the 2023–2024 US flu season. All data were obtained from [<a href="#B67-pathogens-13-00755" class="html-bibr">67</a>].</p>
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<p>Schematic depicting objectives of stalk-directed vaccine strategies. Stalk-directed vaccines primarily direct immunity away from the antigenic and variable head region near the receptor-binding site [<a href="#B47-pathogens-13-00755" class="html-bibr">47</a>,<a href="#B54-pathogens-13-00755" class="html-bibr">54</a>] in favor of targeting more conserved regions of the protein near or in the HA stalk. The darker colors represent more immune direction toward that region. A three-dimensional representation of the HA trimer is shown above, and a schematic representing the linear amino acid sequence with conserved and antigenic regions (orange bars below) distinguished is also shown.</p>
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12 pages, 779 KiB  
Article
Wastewater Surveillance of SARS-CoV-2: A Comparison of Two Concentration Methods
by Christina Diamanti, Lambros Nousis, Petros Bozidis, Michalis Koureas, Maria Kyritsi, George Markozannes, Nikolaos Simantiris, Eirini Panteli, Anastasia Koutsolioutsou, Konstantinos Tsilidis, Christos Hadjichristodoulou, Alexandra Koutsotoli, Eirini Christaki, Dimitrios Alivertis, Aristides Bartzokas, Konstantina Gartzonika, Chrysostomos Dovas and Evangelia Ntzani
Viruses 2024, 16(9), 1398; https://doi.org/10.3390/v16091398 - 31 Aug 2024
Viewed by 619
Abstract
Wastewater surveillance is crucial for the epidemiological monitoring of SARS-CoV-2. Various concentration techniques, such as skimmed milk flocculation (SMF) and polyethylene glycol (PEG) precipitation, are employed to isolate the virus effectively. This study aims to compare these two methods and determine the one [...] Read more.
Wastewater surveillance is crucial for the epidemiological monitoring of SARS-CoV-2. Various concentration techniques, such as skimmed milk flocculation (SMF) and polyethylene glycol (PEG) precipitation, are employed to isolate the virus effectively. This study aims to compare these two methods and determine the one with the superior recovery rates. From February to December 2021, 24-h wastewater samples were collected from the Ioannina Wastewater Treatment Plant’s inlet and processed using both techniques. Subsequent viral genome isolation and a real-time RT-qPCR detection of SARS-CoV-2 were performed. The quantitative analysis demonstrated a higher detection sensitivity with a PEG-based concentration than SMF. Moreover, when the samples were positive by both methods, PEG consistently yielded higher viral loads. These findings underscore the need for further research into concentration methodologies and the development of precise protocols to enhance epidemiological surveillance through wastewater analysis. Full article
(This article belongs to the Special Issue Molecular Epidemiology of SARS-CoV-2, 3rd Edition)
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<p>Box plots for genome copies/L according to the two concentration methods.</p>
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<p>Percentage reduction in the results of the two methods and their comparative differences. <a href="#viruses-16-01398-f002" class="html-fig">Figure 2</a> presents a time series analysis of the data, illustrating that the proportions of positive results for both methods were consistently concordant over the entire evaluated time frame.</p>
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24 pages, 847 KiB  
Review
Like a Rolling Stone? A Review on Spontaneous Clearance of Hepatitis C Virus Infection
by Piotr Rzymski, Michał Brzdęk, Krystyna Dobrowolska, Barbara Poniedziałek, Aleksandra Murawska-Ochab, Dorota Zarębska-Michaluk and Robert Flisiak
Viruses 2024, 16(9), 1386; https://doi.org/10.3390/v16091386 - 30 Aug 2024
Cited by 1 | Viewed by 1089
Abstract
Elimination of hepatitis C virus (HCV) without the need for medical intervention, known as spontaneous clearance (SC), occurs at a significantly lower rate than in the case of hepatitis B virus infection and only in selected individuals, such as reportedly in Keith Richards, [...] Read more.
Elimination of hepatitis C virus (HCV) without the need for medical intervention, known as spontaneous clearance (SC), occurs at a significantly lower rate than in the case of hepatitis B virus infection and only in selected individuals, such as reportedly in Keith Richards, a guitarist of The Rolling Stones. The present paper provides an updated narrative review of the research devoted to the phenomenon in order to identify and discuss the demographic, lifestyle-related, clinical, viral genotype-related, and host genetic factors underpinning the SC occurrence. The body of evidence indicates that the likelihood of SC is decreased in older individuals, men, Black people, HIV-coinfected subjects, and intravenous drug and alcohol users. In turn, HBV coinfection and specific polymorphism of the genes encoding interferon lambda 3 (particularly at rs8099917) and interferon lambda 4 (particularly at rs12979860) and HLA genes increase the odds of SC. Numerous other host-specific genetic factors could be implicated in SC, but the evidence is limited only to certain ethnic groups and often does not account for confounding variables. SC of HCV infection is a complex process arising from a combination of various factors, though a genetic component may play a leading role in some cases. Understanding factors influencing the likelihood of this phenomenon justifies better surveillance of high-risk groups, decreasing health inequities in particular ethnic groups, and may guide the development of a prophylactic vaccine, which at present is not available, or novel therapeutic strategies. Further research is needed to elucidate the exact mechanisms underlying SC and to explore potential interventions that could enhance this natural antiviral response. Full article
(This article belongs to the Special Issue Hepatitis C Virus 2024)
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<p>The summary of main factors identified to influence the odds of spontaneous clearance of HCV.</p>
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5 pages, 492 KiB  
Proceeding Paper
The Epidemiology of Hepatitis in the Marche Region (Italy): A Notification System over a Decade (2012–2021)
by Cosimo Damiano Giorgio Mangino, Corinna Fortunato, Love Chibuzor Ilochonwu, Andrea Mazzacchera, Davide Mengarelli detto Rinaldini, Giulia Mercante, Andrea Paladini and Fabio Filippetti
Med. Sci. Forum 2024, 25(1), 12; https://doi.org/10.3390/msf2024025012 - 29 Aug 2024
Viewed by 202
Abstract
The World Health Organization has highlighted the substantial impact of viral hepatitis on individuals, healthcare systems, and economies worldwide. This study’s objective is to monitor disease notifications to assess their trends. Data from infectious disease notifications detected in the Marche Region (Italy) were [...] Read more.
The World Health Organization has highlighted the substantial impact of viral hepatitis on individuals, healthcare systems, and economies worldwide. This study’s objective is to monitor disease notifications to assess their trends. Data from infectious disease notifications detected in the Marche Region (Italy) were analyzed and entered into the Nuovo Sistema Informativo Sanitario portal between 1 January 2012 and 31 December 2021. In this period, there were 399 confirmed reports, of which 47.9% were for hepatitis A, 26.8% were for hepatitis B, 7% were for hepatitis C, and 18.3% were for hepatitis E; 67.4% of the afflicted individuals were male, and the average age was 43.5 years old. The year with the highest peak was 2017, accounting for 18% of the reports, while the year with the lowest number was 2020, followed by 2021, accounting for 3.8% and 4.5%, respectively. Effective surveillance systems are key to combating the spread of hepatitis and reducing its impact, although they have been affected by the SARS-CoV-2 pandemic, with many cases remaining undetected. Full article
(This article belongs to the Proceedings of The 2nd International One Health Conference)
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<p>Incidence of viral hepatitis notifications in the Marche Region (Italy) from 2012 to 2021.</p>
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9 pages, 903 KiB  
Article
Detection and Monitoring of Highly Pathogenic Influenza A Virus 2.3.4.4b Outbreak in Dairy Cattle in the United States
by Luis G. Giménez-Lirola, Brooklyn Cauwels, Juan Carlos Mora-Díaz, Ronaldo Magtoto, Jesús Hernández, Maritza Cordero-Ortiz, Rahul K. Nelli, Patrick J. Gorden, Drew R. Magstadt and David H. Baum
Viruses 2024, 16(9), 1376; https://doi.org/10.3390/v16091376 - 29 Aug 2024
Viewed by 1007
Abstract
The emergence and spread of highly pathogenic avian influenza virus A subtype H5N1 (HP H5N1-IAV), particularly clade H5N1 2.3.4.4b, pose a severe global health threat, affecting various species, including mammals. Historically, cattle have been considered less susceptible to IAV, but recent outbreaks of [...] Read more.
The emergence and spread of highly pathogenic avian influenza virus A subtype H5N1 (HP H5N1-IAV), particularly clade H5N1 2.3.4.4b, pose a severe global health threat, affecting various species, including mammals. Historically, cattle have been considered less susceptible to IAV, but recent outbreaks of H5N1-IAV 2.3.4.4b in dairy farms suggest a shift in host tropism, underscoring the urgency of expanded surveillance and the need for adaptable diagnostic tools in outbreak management. This study investigated the presence of anti-nucleoprotein (NP) antibodies in serum and milk and viral RNA in milk on dairy farms affected by outbreaks in Texas, Kansas, and Michigan using a multi-species IAV ELISA and RT-qPCR. The analysis of ELISA results from a Michigan dairy farm outbreak demonstrated a positive correlation between paired serum and milk sample results, confirming the reliability of both specimen types. Our findings also revealed high diagnostic performance during the convalescent phase (up to 96%), further improving sensitivity through serial sampling. Additionally, the evaluation of diagnostic specificity using serum and milk samples from IAV-free farms showed an excellent performance (99.6%). This study underscores the efficacy of the IAV NP-blocking ELISA for detecting and monitoring H5N1-IAV 2.3.4.4b circulation in dairy farms, whose recent emergence raises significant animal welfare and zoonotic concerns, necessitating expanded surveillance efforts. Full article
(This article belongs to the Special Issue Advances in Animal Influenza Virus Research: Third Edition)
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<p>Evaluation of anti-NP antibodies in positive and negative serum and milk samples. Distribution of positive (denoted by red dots) and negative (denoted by black dots) influenza A virus (IAV) nucleoprotein (NP)-blocking ELISA sample-to-negative (N/S) results using an S/N cutoff of 0.6 (represented by the dashed line). Data correspond to testing of known IAV-negative serum (<span class="html-italic">n</span> = 371) and paired serum and milk (<span class="html-italic">n</span> = 100) samples, alongside convalescent serum (<span class="html-italic">n</span> = 27) and milk (<span class="html-italic">n</span> = 27) samples from HP H5N1-IAV 2.3.4.4b-infected dairy cattle. The statistical significance was determined using 2-way ANOVA with Šídák’s multiple comparisons test. The Pearson correlation coefficient was calculated for paired samples. **** denotes a <span class="html-italic">p</span>-value of &lt;0.0001, while “ns” denotes non-statistically significant difference.</p>
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<p>Detection of influenza A virus (IAV) nucleoprotein (NP) antibodies in serum samples collected from 66 dairy cattle in Kansas during the pre-clinical, acute, and convalescent phases of infection with H5N1-IAV 2.3.4.4b. Samples with sample-to-negative (S/N) values below the 0.6 cutoff (represented by the dashed line) were classified as positive (denoted by red dots), while those above were classified as negative (denoted by black dots). A one-way ANOVA model followed by post hoc pairwise tests was used to assess differences between the pair of stages. A Welch two-sample <span class="html-italic">t</span>-test was performed to assess the differences in positive or negative detection of antibodies against IAV NP within each phase of the disease. **** denotes a <span class="html-italic">p</span>-value &lt; 0.0001, and “ns” denotes no significant difference.</p>
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<p>Detection of influenza A virus (IAV) nucleoprotein (NP) antibodies in paired serum samples collected from 34 dairy cattle during acute (<span class="html-italic">n</span> = 68) and chronic phases (<span class="html-italic">n</span> = 68) of infection with H5N1-IAV 2.3.4.4b. Samples with sample-to-negative (S/N) values below the 0.6 cutoff (represented by the dashed line) were classified as positive (denoted by red dots), while those above the cutoff were classified as negative (denoted by black dots). The statistical significance was determined using the paired <span class="html-italic">t</span>-test. **** denotes a <span class="html-italic">p</span>-value &lt; 0.0001.</p>
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14 pages, 2283 KiB  
Article
The First Isolation of Insect-Specific Alphavirus (Agua Salud alphavirus) in Culex (Melanoconion) Mosquitoes in the Brazilian Amazon
by Bruna Ramos, Valéria Carvalho, Eliana da Silva, Maria Freitas, Landeson Junior Barros, Maissa Santos, Jamilla Augusta Pantoja, Ercília Gonçalves, Joaquim Nunes Neto, José Wilson Junior, Durval Vieira, Daniel Dias, Ana Cecília Cruz, Bruno Nunes, Sandro Silva, Carine Aragão, Alexandre Casseb and Lívia Martins
Viruses 2024, 16(9), 1355; https://doi.org/10.3390/v16091355 - 24 Aug 2024
Viewed by 676
Abstract
Advances in diagnostic techniques coupled with ongoing environmental changes have resulted in intensified surveillance and monitoring of arbovirus circulation in the Amazon. This increased effort has resulted in increased detection of insect-specific viruses among hematophagous arthropods collected in the field. This study aimed [...] Read more.
Advances in diagnostic techniques coupled with ongoing environmental changes have resulted in intensified surveillance and monitoring of arbovirus circulation in the Amazon. This increased effort has resulted in increased detection of insect-specific viruses among hematophagous arthropods collected in the field. This study aimed to document the first isolation of Agua Salud alphavirus in mosquitoes collected within the Brazilian Amazon. Arthropods belonging to the family Culicidae were collected within a forest fragment located in the Environmental Protection Area of the metropolitan region of Belem. Subsequently, these specimens were meticulously identified to the species level. Afterward, the collected batches were macerated, and the resulting supernatant was then inoculated into C6/36 and Vero cell cultures to facilitate viral isolation. The presence of arboviruses within the inoculated cell cultures was determined through indirect immunofluorescence analysis. Furthermore, positive supernatant samples underwent nucleotide sequencing to precisely identify the viral strains present. Notably, a batch containing Culex (Melanoconion) mosquitoes was identified to be positive for the genus Alphavirus via indirect immunofluorescence. This study is the first report on insect-specific alphavirus isolation in Brazil and the first-ever description of Agua Salud alphavirus isolation within Amazon Forest remnants. Full article
(This article belongs to the Special Issue Advances in Alphavirus and Flavivirus Research)
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<p>The secondary forest fragment within the APA-Belem where Culicidae mosquitoes were collected.</p>
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<p>Photomicrographs of C6/36 cells inoculated with a batch of <span class="html-italic">Culex</span> (<span class="html-italic">Melanoconion</span>) mosquitoes (BE AR 867257) collected in a forest fragment at the APA-Belem showing the IIF reaction to polyclonal antibodies specific to the genus <span class="html-italic">Alphavirus</span>. Magnification: 200×. Scale bar: 75 µm. The cells were stained with Evans blue; the negative cells are stained in red, and the positive cells are stained in green. (<b>A</b>) C6/36 cells not infected, negative control. (<b>B</b>) C6/36 cells inoculated with the batch BE AR 867257 demonstrating a positive reaction to <span class="html-italic">Alphavirus</span> (4th passage, 4th dpi).</p>
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<p>Phylogenetic relationship between the ASALV sequence isolated at the APA-Belem and complete sequences of the virus of the genus <span class="html-italic">Alphavirus</span> available at the NCBI. Sequence highlighted in red: ASALV isolated at the APA-Belem. SF Complex: Semliki Forest Complex. VEE Complex: Venezuelan Equine Encephalitis Complex. WEE Complex: Western Equine Encephalitis Complex. EEE Complex: Eastern Equine Encephalitis Complex. ISVs: Insect-specific alphavirus. The bootstrap values situated above branches represent the percentages derived from 1000 replicates, and the scale bar represents the nucleotide substitution rate. This phylogenetic tree was constructed based on the comparison between the intergenic regions of nucleotide sequences of structural and non-structural proteins of viruses from the genus <span class="html-italic">Alphavirus</span>, excluding the 5′ and 3′ regions.</p>
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<p>Alignment between the ORFs of ASALV sequence OQ749792 and the ORFs of insect-specific alphaviruses sequences available on NCBI, demonstrating their functional domains and the main proteins encoded by them. (<b>A</b>) Insect-specific alphavirus non-structural polyprotein nsP 1-3; (<b>B</b>) Insect-specific alphavirus non-structural polyprotein nsP4; (<b>C</b>) Insect-specific alphavirus structural polyprotein.</p>
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Article
Retrospective Analysis of Omicron in Minas Gerais, Brazil: Emergence, Dissemination, and Diversification
by Paula Luize Camargos Fonseca, Isabela Braga-Paz, Luiza Campos Guerra de Araújo e Santos, Rillery Calixto Dias, Carolina Senra Alves de Souza, Nara Oliveira Carvalho, Daniel Costa Queiroz, Hugo José Alves, João Locke Ferreira de Araújo, Filipe Romero Rebello Moreira, Mariane Talon Menezes, Diego Menezes, Aryel Beatriz Paz e Silva, Jorge Gomes Goulart Ferreira, Talita Emile Ribeiro Adelino, André Felipe Leal Bernardes, Natália Virtude Carobin, Renée Silva Carvalho, Carolina Zaniboni Ferrari, Natália Rocha Guimarães, Ludmila Oliveira Lamounier, Fernanda Gil Souza, Luisa Aimeé Vargas, Marisa de Oliveira Ribeiro, Monica Barcellos Arruda, Patricia Alvarez, Rennan Garcias Moreira, Eneida Santos de Oliveira, Adriano de Paula Sabino, Jaqueline Silva de Oliveira, José Nélio Januário, Felipe Campos de Melo Iani, Renan Pedra de Souza and Renato Santana Aguiaradd Show full author list remove Hide full author list
Microorganisms 2024, 12(9), 1745; https://doi.org/10.3390/microorganisms12091745 - 23 Aug 2024
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Abstract
Brazil is one of the countries most affected by COVID-19, with the highest number of deaths recorded. Brazilian Health Institutions have reported four main peaks of positive COVID-19 cases. The last two waves were characterized by the emergence of the VOC Omicron and [...] Read more.
Brazil is one of the countries most affected by COVID-19, with the highest number of deaths recorded. Brazilian Health Institutions have reported four main peaks of positive COVID-19 cases. The last two waves were characterized by the emergence of the VOC Omicron and its sublineages. This study aimed to conduct a retrospective surveillance study illustrating the emergence, dissemination, and diversification of the VOC Omicron in 15 regional health units (RHUs) in MG, the second most populous state in Brazil, by combining epidemiological and genomic data. A total of 5643 confirmed positive COVID-19 samples were genotyped using the panels TaqMan SARS-CoV-2 Mutation and 4Plex SC2/VOC Bio-Manguinhos to define mutations classifying the BA.1, BA.2, BA.4, and BA.5 sublineages. While sublineages BA.1 and BA.2 were more prevalent during the third wave, BA.4 and BA.5 dominated the fourth wave in the state. Epidemiological and viral genome data suggest that age and vaccination with booster doses were the main factors related to clinical outcomes, reducing the number of deaths, irrespective of the Omicron sublineages. Complete genome sequencing of 253 positive samples confirmed the circulation of the BA.1, BA.2, BA.4, and BA.5 subvariants, and phylogenomic analysis demonstrated that the VOC Omicron was introduced through multiple international events, followed by transmission within the state of MG. In addition to the four subvariants, other lineages have been identified at low frequency, including BQ.1.1 and XAG. This integrative study reinforces that the evolution of Omicron sublineages was the most significant factor driving the highest peaks of positive COVID-19 cases without an increase in more severe cases, prevented by vaccination boosters. Full article
(This article belongs to the Special Issue Human Infectious Diseases)
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Figure 1

Figure 1
<p>The epidemiological status of SARS-CoV-2 in the state of MG. (<b>A</b>) Regional health units (RHUs) from MG state sampled in our study. Two RHUs were sampled only in the third wave (orange color). (<b>B</b>) Number of cases, deaths, and vaccination status per epidemiological week (EW) in MG during the study period. (<b>C</b>) Samples retrieved by RHUs with SARS-CoV-2 lineages classification by on our genotyping strategy.</p>
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<p>Distribution of SARS-CoV-2 lineages in MG. (<b>A</b>) Replacement of Delta to Omicron in MG state. The color orange represents Delta, while purple represents VOC Omicron. (<b>B</b>) Replacement period between Delta and VOC Omicron by RHU per EW. Blank spaces indicate the absence of samples in that RHU and EW. The orange color represents the VOC Delta, while the purple represents VOC Omicron. (<b>C</b>) Frequency of the H69/V70 deletion present in the samples investigated throughout the study. Transition periods between the predominance of BA.1 to BA.2 and from BA.2 to BA.4/BA.5 are indicated by the overlapping colors.</p>
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<p>Clinical outcomes and vaccination status for confirmed Omicron cases. (<b>A</b>) Clinical outcomes classified by sex and age. (<b>B</b>) Clinical outcomes classified by age and vaccination status.</p>
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<p>Diversity of Omicron subvariants in MG state. (<b>A</b>) Maximum likelihood phylogeny using the VOC Omicron NextStrain Global dataset as reference. The circles represent the genomes generated in our study (<span class="html-italic">n</span> = 253) according to the Omicron wave which they were collected. Each Omicron sublineage (BA.1, BA.2. BA.4, and BA.5) is represented by a different color. (<b>B</b>) Synonymous mutation profile of the sequenced genomes. More than 858 mutations were identified. Orange circles represent synonymous mutations found in at least 70% of the genomes, with only four presented in all genomes (100%). The mutations are labeled next to the circles. Purple circles represent mutations found at low frequency in the genomes generated. The gray shading indicates the position of the Spike gene in the SARS-CoV-2 genome.</p>
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<p>Correlation plot showing the profile of importations and exportation events for each Omicron subvariants (BA.1, BA.2, BA.4, and BA.5) in the state of Minas Gerais as evaluated in our study. Blue colors represent a lower number of events, while red colors represent a higher number of events.</p>
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