Journal of virological methods最新文献

China has the largest aquaculture eel production in the world. High-density cultivation pattern often results in an outbreak of epidemic diseases. Since the 1990s, eel “mucus sloughing and hemorrhagic septicemia disease” was often broke out in China, and brought huge economic losses to eel breeders. Anguillid herpesvirus 1 (AngHV) was detected and isolated from the diseased eel, and proved to be the pathogen of the disease. In this study, a loop-mediated isothermal amplification (LAMP) assay was developed for rapid, sensitive, and specific detection of AngHV. A set of six primers targeting the ORF51 gene of AngHV was designed, which could effectively detect purified AngHV virions, AngHV-infected cells, or eel tissue samples. The suitable reaction temperature is 63℃, and the reaction time is 40 min. There was no cross-reaction with eel and other fish viruses, including Infectious pancreatic necrosis virus (IPNV), Marine birnavirus (MABV), Rana grylio virus (RGV), Cyprinid herpesvirus 3 (CyHV-3), and Eel iridovirus (EIV). The lower detection limit of the AngHV LAMP assay is 10 copies of AngHV genome DNA, which is at least 100 times more sensitive than conventional PCR in detecting AngHV. The assay could effectively detect AngHV from collected samples with typical clinical symptoms of AngHV infection. It suggested that the LAMP assay could be used in specific detection of AngHV and has great potential for early diagnosis of AngHV infection in the farm.

Human enteric viruses, as adenovirus (HAdV), norovirus (HuNoV) and rotavirus (RVA) are significant causes of gastroenteritis associated with consumption of contaminated water worldwide. Various methods have been described for their detection and monitoring in water. The aim of this study was to compare the performance of four conditions for concentrating HAdV, HuNoV and RVA from water matrices, in order to develop a single protocol that could simultaneously concentrate all target viruses from tap water. The tested conditions were based on the adsorption-elution using electronegative filters, in which we evaluated cation-coated filtration by MgCl₂ with or without acid rinse by H₂SO₄ and two elution buffers, namely NaOH and tris-glycine-beef extract. Genomic material was extracted and amplified by real-time PCR and real-time RT-PCR using commercial kits. Based on the statistical analysis of amplification results (cycles of quantification), the condition involving cation-coated filtration by MgCl₂ using electronegative filters with acid rinse by H₂SO₄ combined with NaOH elution allowed efficient recovery of both HAdV, HuNoV and RVA from tap water compared to the other conditions. These findings confirm the effectiveness of the approach used to monitor three major enteric viruses in tap water.

Largemouth bass virus (LMBV) and infectious spleen and kidney necrosis virus (ISKNV) are both belong to Iridoviridae that cause considerable economic losses in the fish industry. There is no reported literature that can detect these two viruses simultaneously. In this study, we established a multiplex quantitative polymerase chain reaction (qPCR) assay that can specifically and simultaneously detect both LMBV and ISKNV in fish samples. The specificity experiment showed that the method only amplified LMBV and ISKNV but not the other 10 common fish viruses. The slope (m), efficiency (E) and linearity (R²) determined from the generated standard curve were all within the optimal range of qPCR values. The detection limit of the multiplex qPCR assay was as low as 4 copies/μL for LMBV DNA and 7 copies/μL for ISKNV DNA, respectively. The established method exhibited adequate repeatability and reproducibility, and the intra- and inter-assay coefficients of variation were both less than 3 %. The accuracy of the multiplex qPCR method was validated using 229 fish samples and was more precise than that of the conventional PCR assay. In summary, the established multiplex qPCR assay can simultaneously detect LMBV and ISKNV to monitor the risk of infection LMBV and ISKNV and control the disease early.

In the employment of serodiagnostic methods for the detection of orthoflavivirus infections, neutralization tests are known to be more accurate than measurements of antibody binding properties employing enzyme-linked immunosorbent assays. However, neutralization tests require infectious virus and laboratories with an appropriate level of biosafety. Single-round infectious particles (SRIPs), which encode a reporter gene instead of the viral structural protein genes, are replication incompetent and represent a safe and reliable alternative to the diagnosis of pathogenic viruses in neutralization tests. The orthoflavivirus SRIPs are produced by co-transfection of plasmids expressing virus-like particles and replicons into mammalian cell lines preferably with high transfection efficacy, such as HEK293T cells. However, certain orthoflavivirus SRIPs have limitations in their efficient expression at 37°C, which is the optimal temperature for mammalian cell growth, resulting in insufficient yields for neutralization tests. Here, we demonstrate that the production of orthoflavivirus SRIPs increases at the lower temperature of 28°C compared to 37°C. Moreover, infections with 28°C-cultured SRIPs in microneutralization tests were specifically inhibited in the presence of serum from mice infected with homologous viruses, suggesting that these SRIPs preserved their neutralizing epitopes for antibodies. Our method to produce high titer SRIPs is anticipated to promote efficient and safe SRIPs neutralization tests as a general serodiagnostic method for detecting virus-specific neutralizing antibodies against orthoflaviviruses.

The urgent need for efficient and accurate automated screening tools for COVID-19 detection has led to research efforts exploring various approaches. In this study, we present pioneering research on COVID-19 detection using a hybrid model that combines convolutional neural networks (CNN) with a bi-directional long short-term memory (Bi-LSTM) network, in conjunction with fiber optic data for SARS-CoV-2 Immunoglobulin G (IgG) antibodies. Our research introduces a comprehensive data preprocessing pipeline and evaluates the performance of four different deep learning (DL) algorithms: CNN, CNN-RNN, BiLSTM, and CNN-BiLSTM, in classifying samples as positive or negative for the COVID-19 virus. Among these, the CNN-BiLSTM classifier demonstrated superior performance on the training datasets, achieving an accuracy of 89 %, a recall of 88 %, a precision of 90 %, an F1-score of 89 %, a specificity of 90 %, a geometric mean (G-mean) of 89 %, and a receiver operating characteristic (ROC) of 96 %. In addition, the achieved classification results were compared with those reported in the literature. The findings indicate that the proposed model has promising potential for classifying COVID-19 and could serve as a valuable tool for healthcare professionals. The use of IgG antibodies to detect the virus enhances the specificity and accuracy of the diagnostic tool.

Infectious hematopoietic necrosis virus (IHNV) severely and lethally infects salmonid fish, including Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss) worldwide. Rapid and accurate viral detection is crucial for preventing pathogen spread and minimizing damage. Although several IHNV detection assays have been developed, their analytical and diagnostic performances have not been evaluated and field usability assessments have not been completely validated. Here, we developed a reverse-transcription cross-priming amplification-based lateral flow assay (RT-CPA-LFA) and validated its diagnostic performance. To detect the IHNV, primers were designed based on the consensus sequence of the nucleocapsid (N) gene. Notably, when combined with a lateral flow dipstick, it could visualize the IHNV amplification products within 5 min and the detection limit of the developed RT-CPA-LFA was 3.28×10⁵ copies/μL. The diagnostic sensitivity and specificity in fish samples (n=140) were 98.88 % and 96.08 %, respectively. Moreover, the IHNV detection rate by RT-CPA-LFA in dead rainbow trout artificially injected with the virus was 100 %, consistent with to the results obtained from second conventional and real-time PCR, indicating its applicability for rapid IHNV detection and presumptive IHN diagnosis during the endemic period.

Bovine ephemeral fever virus (BEFV) is a member of the genus Ephemerovirus in the family Rhabdoviridae. It is an arthropod-borne virus transmitted by many species of midges and mosquitoes. It can cause severe economic consequences due to losses in milk production and the general condition of cattle and water buffalo. BEF occurs in some tropical, subtropical and warm temperate regions of Africa, Australia, the Middle East and Asia with seasonal outbreaks, but its possible spread to other areas (e.g. Europe) cannot be excluded. Therefore, using and developing rapid diagnostic methods with optimal performance is essential for identifying emerging pathogens and their control. In the present study, we developed two competitive serological ELISAs based on monoclonal antibodies (mAbs), designed by using BEFV inactivated antigen and the BEF recombinant nucleoprotein (N), respectively. A panel of 77 BEF-positive and 338 BEF-negative sera was used to evaluate the two tests. With a diagnostic sensitivity of 97.4 % using the inactivated virus and 98.7 % using the recombinant N, and a diagnostic specificity of 100 % using both antigens, our results suggest that these tests are suitable for the serological diagnosis of BEF.

Zoonotic viruses are widely seen as the primary threat for future pandemics. Bats are the most diverse group of mammals, with more than 1400 species distributed across most habitats on Earth. So far, 31 known virus families were associated with bats, although the understanding of most viruses were insufficient. Continuous efforts to discover, understand and monitor these bats viruses, is thereby an area of public health interest. This systematic review was designed to catalogue publications reporting novel bat virus discoveries within PubMed, SCOPUS, and Web of Science databases, within a 5-year period from 2018 to 2022. Various experimental parameters, including sampling locations, methodology, bat species diversity, similarity to known viruses, species demarcation of new viruses, and genomic sequencing strategies, were extracted from 41 publications and analyzed. In total, 72 novel viruses from 19 virus families were identified between 2018 and 2022, particularly from Genomoviridae (DNA viruses) and Coronaviridae (RNA viruses). That said, only a limited number of bat families featured extensively despite noticeable shift towards next generation sequencing methods and metagenomics pipeline for virus identification across different sampling methods. This review aims to provide a comprehensive analysis of the global efforts made over the past five years to identify and characterize emerging viruses in bat species, and to provide a detailed overview of the current technologies and methodologies used in these studies.

Background

Since July 23, 2022, global mpox cases reached 92,546, with over 31,000 in the United States. Asymptomatic carriage is a critical mechanism influencing the global dissemination of mpox. Seroprevalence studies are crucial for determining the epidemic's true burden, but uncertainties persist in serologic assay performance and how smallpox vaccination may influence assay interpretation.

Objectives

Our study aimed to assess the performance of several diagnostic assays among mpox-positive, vaccinated, and pre-outbreak negative control samples. This investigation sought to enhance our understanding and management of future mpox outbreaks.

Study design

Serum samples from 10 mpox-positive, five vaccinated uninfected, and 137 pre-outbreak controls were obtained for serological testing. The mpox-positive samples were obtained around 100 days post symptom onset, and vaccinated patients were sampled approximately 90 days post-vaccination. Multiple diagnostic assays were employed, including four commercial ELISAs (Abbexa, RayBioTech, FineTest, ProteoGenix) and a multiplex assay (MesoScale Diagnostics (MSD)) measuring five mpox and five smallpox antigens.

Results

Three commercial ELISA kits had low specificity (<50 %). The Proteogenix ELISA targeting the E8L antigen had a 94 % sensitivity and 87 % specificity. The E8L antigen on the MSD assay exhibited the greatest distinction between exposure groups, with 98 % sensitivity and 93 % specificity.

Conclusions

None of the assays could distinguish between mpox-positive and vaccinated samples. The MSD assay targeting the MPXV E8L antigen demonstrated the greatest differentiation between mpox-positive and pre-outbreak negative samples. Our findings underscore the imperative to identify sensitive and specific assays to monitor population-level mpox exposure and infection.

High-throughput screening requires assays that have flexibility to test large numbers of specimens while being accurate to ensure reproducibility across all specimens and variables tested. Previously, we used a low-throughput, cell-based assay to identify compounds with antiviral activity against polioviruses. In this report, we report the development and implementation of a high-throughput automation platform for the identification of compounds with antiviral activity against polioviruses. The platform uses off-the-shelf automated equipment combined with a modified assay, with minimal changes to existing laboratory space. We evaluated automation systems from Hudson Robotics Inc., Agilent Technologies, and a microplate reader from PerkinElmer during the platform design. Optimization for high throughput was focused on bulk reagent additions, serial dilutions, microplate washing and measuring results from the tens-to-hundreds of microplates. We evaluated the automated cell-based assay for selectivity, sensitivity, accuracy, precision, and reproducibility. This platform can be applied to screen novel antivirals against polioviruses and non-polio enteroviruses.