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Since its initial report in Vietnam in early 2019, the African swine fever (ASF), a highly lethal and severe viral swine disease worldwide, continues to cause outbreaks in other Southeast Asian countries. This study analyzed and compared the genomic sequences of ASF viruses (ASFVs) during the first outbreak in Hung Yen (VN/HY/2019-ASFV1) and Quynh Phu provinces (VN/QP/2019-ASFV1) in Vietnam in 2019, and the subsequent outbreak in Hung Yen (VN/HY/2022-ASFV2) in 2022, to those of other ASFV strains. VN/HY/2019-ASFV1, VN/QP/2019-ASFV1, and VN/HY/2022-ASFV2 genomes were 189,113, 189,081, and 189,607 bp in length, encoding 196, 196, and 203 open reading frames (ORFs), respectively. VN/HY/2019-ASFV1 and VN/QP/2019-ASFV1 shared a 99.91–99.99% average nucleotide identity with genotype II strains. Variations were identified in 28 ORFs in VN/HY/2019-ASFV1 and VN/QP/2019-ASFV1 compared to 20 ASFV strains, and 16 ORFs in VN/HY/2022-ASFV2 compared to VN/HY/2019-ASFV1 and VN/QP/2019-ASFV1. Vietnamese ASFV genomes were classified as IGR II variants between the I73R and I329L genes, with two copy tandem repeats between the A179L and A137R genes. A phylogenetic analysis based on the whole genomes of 27 ASFV strains indicated that the Vietnamese ASFV strains are genetically related to Estonia 2014, ASFV-SY18, and Russia/Odintsovo_02/14. These results reveal the complete genome sequences of ASFV circulating during the first outbreak in 2019, providing important insights into understanding the evolution, transmission, and genetic variation of ASFV in Vietnam.

Point-of-care tests (POCT) for pathogens are considered important for low-resource countries and facilities. Although lateral flow immunoassays (LFIA) have many advantages including speed and ease of use, their sensitivity is limited without specific equipment. Furthermore, their response cannot be enhanced through enzymatic reactions. Owing to these limitations, LFIAs have not yet been generally adopted as the standard protocol for in vitro analysis of infectious pathogens. We aimed to develop a novel pipetting-based immunoassay using a removable magnetic ring-coupled pipette tip. The “magnetic bead-capture antibody-targeted protein complex” was simply purified by pipetting and quantified by enzymatic colour development or using a lateral flow system. This pipetting-based immunoassay was applied to detect the nucleoprotein (NP) of the influenza A virus. Using an HRP-conjugated monoclonal antibody as a probe, the assay allowed for specific and sensitive detection. Furthermore, when this assay was applied exclusively for antigen capture in the lateral flow system, the limit of detection improved 100-fold and displayed greater sensitivity than the lateral flow system alone. Therefore, the pipetting-based immunoassay may be potentially used as a sensitive POCT to clinically detect a target antigen.

Coronavirus disease 2019 (COVID-19) is an acute respiratory infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Other coronaviruses (CoVs) can also infect humans, although the majority cause only mild respiratory symptoms. Because early diagnosis of SARS-CoV-2 is critical for preventing further transmission events and improving clinical outcomes, it is important to be able to distinguish SARS-CoV-2 from other SARS-related CoVs in respiratory samples. Therefore, we developed and evaluated a novel reverse transcription quantitative polymerase chain reaction (RT-qPCR) assay targeting the genes encoding the spike (S) and membrane (M) proteins to enable the rapid identification of SARS-CoV-2, including several new circulating variants and other emerging SARS-like CoVs. By analysis of in vitro-transcribed mRNA, we established multiplex RT-qPCR assays capable of detecting 5 × 10° copies/reaction. Using RNA extracted from cell culture supernatants, our multiple simultaneous SARS-CoV-2 assays had a limit of detection of 1 × 10° TCID50/mL and showed no cross-reaction with human CoVs or other respiratory viruses. We also validated our method using human clinical samples from patients with COVID-19 and healthy individuals, including nasal swab and sputum samples. This novel one-step multiplex RT-qPCR assay can be used to improve the laboratory diagnosis of human-pathogenic CoVs, including SARS-CoV-2, and may be useful for the identification of other SARS-like CoVs of zoonotic origin.

Gene segments from avian H1N1 influenza A viruses have reassorted with other influenza viruses to generate pandemic strains over the past century. Nevertheless, little effort has been invested in understanding the characteristics of avian H1N1 influenza viruses. Here, we present the genome sequence and a molecular and virological characterization of an avian influenza A virus, A/wild bird/Korea/SK14/2014 (A/SK14, H1N1), isolated from migratory birds in South Korea during the winter season of 2014-2015. Full-genome sequencing and phylogenetic analysis revealed that the virus belongs to the Eurasian avian lineage. Although it retained avian-receptor binding preference, A/SK14 virus also exhibited detectable human-like receptor binding and was able to replicate in differentiated primary normal human bronchial epithelial cells. In animal models, A/SK14 virus was moderately pathogenic in mice, and virus was detected in nasal washes from inoculated guinea pigs, but not in direct-contact guinea pigs. Although A/SK14 showed moderate pathogenicity and no evidence of transmission in a mammalian model, our results suggest that the dual receptor specificity of A/SK14-like virus might allow for a more rapid adaptation to mammals, emphasizing the importance of further continuous surveillance and risk-assessment activities.

Controlling the progression of contagious diseases is crucial for public health management, emphasizing the importance of early viral infection diagnosis. In response, lateral flow assays (LFAs) have been successfully utilized in point-of-care (POC) testing, emerging as a viable alternative to more traditional diagnostic methods. Recent advancements in virus detection have primarily leveraged methods such as reverse transcription–polymerase chain reaction (RT-PCR), reverse transcription–loop-mediated isothermal amplification (RT-LAMP), and the enzyme-linked immunosorbent assay (ELISA). Despite their proven effectiveness, these conventional techniques are often expensive, require specialized expertise, and consume a significant amount of time. In contrast, LFAs utilize nanomaterial-based optical sensing technologies, including colorimetric, fluorescence, and surface-enhanced Raman scattering (SERS), offering quick, straightforward analyses with minimal training and infrastructure requirements for detecting viral proteins in biological samples. This review describes the composition and mechanism of and recent advancements in LFAs for viral protein detection, categorizing them into colorimetric, fluorescent, and SERS-based techniques. Despite significant progress, developing a simple, stable, highly sensitive, and selective LFA system remains a formidable challenge. Nevertheless, an advanced LFA system promises not only to enhance clinical diagnostics but also to extend its utility to environmental monitoring and beyond, demonstrating its potential to revolutionize both healthcare and environmental safety.

In the context of virus outbreaks, the need for early and accurate diagnosis has become increasingly urgent. In addition to being crucial for effective disease control, timely and precise detection of viral infections is also necessary for the implementation of essential public health measures, especially during pandemics. Among these measures, point-of-care testing (POCT) stands out as a powerful approach with the potential to revolutionize the landscape of viral diagnosis. In this study, we developed a one-pot clustered regularly interspaced short palindromic repeats (CRISPR)-Cas12a-based viral DNA detection system tailored for POCT; this method utilizes multi-enzyme-modified Au@Fe3O4 nanoparticles. As an alternative to nucleic acid amplification, our method uses single-stranded DNA elongation to facilitate multi-enzyme modification; this guarantees heightened sensitivity and expedites the diagnostic process. We achieved a satisfactory limit of detection of 0.25 nM, demonstrating the remarkable sensitivity of the method without the need for sophisticated equipment. The incorporation of Au@Fe3O4 magnetic nanoparticles facilitates sample separation, further streamlining the workflow and reinforcing the simplicity of our method. This integrated approach offers a practical solution for sensitive viral DNA detection in POCT scenarios, advancing the field of rapid and accurate diagnostics.

Korean fermented foods are known to be beneficial for human health. Bacterial community studies have been conducted to figure out what roles the bacteria used to ferment these foods play in food fermentation. The metagenomic approach identifies both culturable and unculturable bacterial compositions, but this technique is limited in its ability to accurately determine the bacterial species from short 16S rRNA PCR products. In this study, we revisited the culture-dependent method using a relatively large number of bacterial isolates in an attempt to overcome the problem of bacterial identification, accepting that the unculturable bacterial population in each fermented food would be undetectable. Eight Korean fermented foods including kimchi, jeotgal, and meju were collected, and 1589 fermenting bacterial strains were randomly isolated. Bacteria were grouped by banding pattern using arbitrary-primed (AP) PCR prior to bacterial identification and sorted into 219 groups; 351 strains were not grouped because there was no identical AP-PCR band pattern. 16S rRNA sequence analysis identified the bacterial compositions of the fermented foods. As dominant genera, Lactobacillus and Leuconostoc strains were detected in four kimchi samples, Staphylococcus in three jeotgal samples, and Enterococcus and Bacillus in the meju sample. Interestingly, S. Equorum was most dominant in saeu-jeotgal, indicating that it is halophilic and may enhance the fermentation flavor. Further comparative analysis of this study with previous metagenomic results revealed that bacterial communities in fermented foods are highly similar at the genus level but often differ at the species level. This bacterial community study is useful for understanding the roles and functional properties of fermenting bacteria in the fermentation process of Korean fermented foods.

In the context of virus outbreaks, the need for early and accurate diagnosis has become increasingly urgent. In addition to being crucial for effective disease control, timely and precise detection of viral infections is also necessary for the implementation of essential public health measures, especially during pandemics. Among these measures, point-of-care testing (POCT) stands out as a powerful approach with the potential to revolutionize the landscape of viral diagnosis. In this study, we developed a one-pot clustered regularly interspaced short palindromic repeats (CRISPR)-Cas12a-based viral DNA detection system tailored for POCT; this method utilizes multi-enzyme-modified Au@Fe[sub.3] O[sub.4] nanoparticles. As an alternative to nucleic acid amplification, our method uses single-stranded DNA elongation to facilitate multi-enzyme modification; this guarantees heightened sensitivity and expedites the diagnostic process. We achieved a satisfactory limit of detection of 0.25 nM, demonstrating the remarkable sensitivity of the method without the need for sophisticated equipment. The incorporation of Au@Fe[sub.3] O[sub.4] magnetic nanoparticles facilitates sample separation, further streamlining the workflow and reinforcing the simplicity of our method. This integrated approach offers a practical solution for sensitive viral DNA detection in POCT scenarios, advancing the field of rapid and accurate diagnostics.

In the context of virus outbreaks, the need for early and accurate diagnosis has become increasingly urgent. In addition to being crucial for effective disease control, timely and precise detection of viral infections is also necessary for the implementation of essential public health measures, especially during pandemics. Among these measures, point-of-care testing (POCT) stands out as a powerful approach with the potential to revolutionize the landscape of viral diagnosis. In this study, we developed a one-pot clustered regularly interspaced short palindromic repeats (CRISPR)-Cas12a-based viral DNA detection system tailored for POCT; this method utilizes multi-enzyme-modified Au@Fe O nanoparticles. As an alternative to nucleic acid amplification, our method uses single-stranded DNA elongation to facilitate multi-enzyme modification; this guarantees heightened sensitivity and expedites the diagnostic process. We achieved a satisfactory limit of detection of 0.25 nM, demonstrating the remarkable sensitivity of the method without the need for sophisticated equipment. The incorporation of Au@Fe O magnetic nanoparticles facilitates sample separation, further streamlining the workflow and reinforcing the simplicity of our method. This integrated approach offers a practical solution for sensitive viral DNA detection in POCT scenarios, advancing the field of rapid and accurate diagnostics.

The yeast-26S rRNA libraries were constructed from two different fermented soybean foods, doenjang and kanjang. A total of 42 clones, containing the partial 26S rRNA sequences, 0.6 kb in length, were sequenced and subjected to an online similarity search. All doenjang yeast (DY) clones only appeared in the Saccharomycotina class. The 21 clones from the doenjang library were classified into five groups: Debaryomyces hansenii (DY I, 76.0 %), Zygosaccharomyces pseudorouxii (DY II, 9.6 %), Candida versatilis (DY III, 4.8 %), Candida etchellsii (DY IV, 4.8 %), and Debaryomyces castellii (DY V, 4.8 %). The 21 kanjang yeast (KY) clones were affiliated with the Saccharomycotina (52.4 %), Urediniomycetes (19.0 %), Ustilaginomycetes (23.8 %), and Hymenomycetes (4.8 %) classes and divided into six groups: D. hansenii (KY I, 38.0 %), Sterigmatomyces halophilus (KY II, 19.0 %), Malassezia restricta (KY III, 23.8 %), Cryptococcus magnus (KY V, 4.8 %), and Pichia triangularis (KY VI, 9.6 %). Yeast belonging to the Saccharomycotina class was predominant (76.2 %) in fermented soybean foods, doenjang and kanjang. These findings are of fundamental value for understanding the complexity of two different fermented soybean foods.