SARS-CoV-2 variant recurrence has emphasized the imperative prerequisite for effective antivirals. The main protease (Mpro) of SARS-CoV-2 is crucial for viral replication, making it one of the prime and promising antiviral targets. Mpro features several druggable sites, including active sites and allosteric sites near the dimerization interface, that regulate its catalytic activity. This study identified six highly efficacious antiviral SARS-CoV-2 compounds (WIN-62577, KT185, bexarotene, ledipasvir, diacerein, and simepervir) using structure-based virtual screening of compound libraries against Mpro. Using SPR and ITC, the binding of selected inhibitory compounds to the target Mpro was validated. The FRET-based protease assay demonstrated that the identified molecules effectively inhibit Mpro with IC50 values in the range from 0.64 to 11.98 μM. Additionally, in vitro cell-based antiviral assays showed high efficacy with EC50 values in the range of 1.51 to 18.92 μM. The crystal structure of the Mpro-minocycline complex detailed the possible inhibition mechanism of minocycline, an FDA-approved antibiotic. Minocycline binds to an allosteric site, revealing residues critical for the loss of protease activity due to destabilization of molecular interactions at the dimeric interface, which are crucial for the proteolytic activity of Mpro. The study suggests that the binding of minocycline to the allosteric site may play a role in Mpro dimer destabilization and direct the rational design of minocycline derivatives as antiviral drugs.

In the last two decades, outbreaks of pathogenic viruses have led to significant human mortality and economic repercussions. Despite extensive investigations into tracing these viruses in terrestrial environments, their origins remain enigmatic.

The Earth's biosphere encompasses both sunlight-dependent terrestrial and surface ocean ecosystems, as well as the sunlight-independent deep-sea ecosystem. However, the traceability of human pathogenic viruses in the deep sea has not been thoroughly explored. This study aimed to investigate the presence of human pathogenic viruses in the deep sea.

In this study, we performed a viral metagenomic analysis using a global deep-sea sediment virome 2.0 dataset which contained 159 deep-sea sediment samples with geologic ages from 2,500 to 7,750 years.

A total of 554,664 viral operational taxonomic units (vOTUs) were identified and further obtained 2,254 potential pathogenic viruses of vertebrates. Among them, 23 vOTUs exhibited high homology with 12 species of human pathogenic viruses which belonged to 4 viral families. Notably, variola virus, the first human pathogenic virus eradicated from humans and now only found in laboratories, was discovered in the ancient deep-sea sediments. The evolution analysis showed that these DNA viruses might represent the ancestors or variants of human pathogenic viruses, suggesting that the deep sea could be a crucial reservoir for human pathogenic viruses.

Our findings present all the ancient pathogenic DNA viruses of humans found in the deep sea for the first time, highlighting the source of the future epidemics. It is imperative to implement the stringent virus monitoring and management measures for human activities in marine environments to address the emerging challenges of marine biosecurity and promote sustainable use of oceans.

The COVID-19 pandemic has caused significant global health and economic disruption. Mutations E166N, E166R, E166N, S144A and His163A in the SARS-CoV-2 main protease (Mpro) have been implicated in reducing the efficacy of certain antiviral treatments. Bofutrelvir, a promising inhibitor, has shown effectiveness against SARS-CoV-2 Mpro. This study aims to evaluate the inhibitory effects of Bofutrelvir on the E166N, E166R, His163A, E166V and S144A mutants of SARS-CoV-2 Mpro, as well as on MERS-CoV Mpro. Our findings indicate a substantial reduction in the inhibitory potency of Bofutrelvir against these mutants and MERS-CoV, with IC50 values significantly higher than those for the wild-type SARS-CoV-2 Mpro. Specifically, the E166N, E166R, E166V, S144A, and H163A mutations significantly reduce the binding affinity and inhibitory effectiveness of Bofutrelvir due to disrupted hydrogen bonds, altered binding site stability, and reduced enzyme activity. Structural analysis of the crystal complexes showed that changes in interactions at the S1 subsite in the mutants and the loss of hydrogen bonds at the S4 subsite in MERS-CoV Mpro are critical factors contributing to the diminished inhibitory activity. These insights reveal the necessity of ongoing structural analysis to adapt therapeutic strategies.

Forecasting the occurrence and absence of novel disease outbreaks is essential for disease management, yet existing methods are often context-specific, require a long preparation time, and non-outbreak prediction remains understudied. To address this gap, we propose a novel framework using a feature-based time series classification (TSC) method to forecast outbreaks and non-outbreaks. We tested our methods on synthetic data from a Susceptible-Infected-Recovered (SIR) model for slowly changing, noisy disease dynamics. Outbreak sequences give a transcritical bifurcation within a specified future time window, whereas non-outbreak (null bifurcation) sequences do not. We identified incipient differences, reflected in 22 statistical features and 5 early warning signal indicators, in time series of infectives leading to future outbreaks and non-outbreaks. Classifier performance, given by the area under the receiver-operating curve (AUC), ranged from 0 . 99 for large expanding windows of training data to 0 . 7 for small rolling windows. The framework is further evaluated on four empirical datasets: COVID-19 incidence data from Singapore, 18 other countries, and Edmonton, Canada, as well as SARS data from Hong Kong, with two classifiers exhibiting consistently high accuracy. Our results highlight detectable statistical features distinguishing outbreak and non-outbreak sequences well before potential occurrence, in both synthetic and real-world datasets presented in this study.

Since the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported from Wuhan, China, there has been a surge in scientific research to find a permanent cure for the disease. The main challenge in effective drug discovery is the continuously mutating nature of the SARS-CoV-2 virus. Thus, we have used the I-TASSER modeling to predict the structure of the SARS-CoV-2 viral envelope protein followed by combinatorial computational assessment to predict its putative potential small molecule inhibitors. As early treatment with ritonavir in combination was associated with faster time to clinical improvement and/or virological clearance, we aimed to retrieve analogs of ritonavir to find ideal inhibitors for SARS-CoV-2 viral envelope protein. The collected ligands were screened against the predicted binding pocket of viral envelope protein using extra precision (XP) docking protocol and the first four best-docked compounds were studied for complex stability using 300 ns all-atom molecular dynamics simulations embedding within the cellular membrane. Among the selected compounds, ZINC64859171 and ZINC1221429 showed considerable stability and interactions by comparison to the reference compound, i.e., Ritonavir (ZINC3944422). Moreover, the post-simulation analysis suggested the considerable binding affinity and induced conformation changes in the respective docked complexes against Ritonavir. Altogether, the obtained results demonstrated the putative potential of screened ritonavir analogs, i.e., ZINC64859171, against the envelope protein of SARS-CoV-2 and can be considered for further drug development in the treatment of the COVID-19 pandemic.Communicated by Ramaswamy H. Sarma.

Here we investigated whether interferon induced transmembrane protein 3 (IFITM3), a key antiviral protein deficient in certain human populations, affects interspecies adaptation of SARS-CoV-2. We found that SARS-CoV-2 Beta and Omicron variants passaged through IFITM3-deficient versus wild type mice exhibit enhanced replication and pathogenesis in this new host species. Enhancements associated with amino acid substitutions in the viral genome, suggesting that IFITM3 limits accumulation of adaptive mutations. Mouse-adapted viruses enabled comparative studies of variants in mice. Beta caused lung dysfunction and altered cilia-associated gene programs, consistent with broad viral antigen distribution in lungs. Omicron, which shows low pathogenicity and upper respiratory tract preference in humans, replicated to high nasal titers while showing restrained spatial distribution in lungs and diminished lung inflammatory responses compared to Beta. Our findings demonstrate that IFITM3 deficiency accelerates coronavirus adaptation and reveal that intrinsic SARS-CoV-2 variant traits shape tropism, immunity, and pathogenesis across hosts.

IFITM3 is a critical barrier to SARS-CoV-2 adaptation in new host speciesMouse-adapted SARS-CoV-2 strains enable comparative pathologyOmicron favors nose and large airways, leading to mild lung pathologyBeta exhibits broad lung replication, driving severe inflammation and dysfunction.

The human transmembrane protease, serine 2 (TMPRSS2), essential for SARS-CoV-2 entry, is a key antiviral target. Here, we computationally profiled the TMPRSS2-binding affinities of 15 antiviral compounds. Molecular dynamics (MD) simulations for the docked complexes revealed that three compounds exited the substrate-binding cavity (SBC), suggesting noncompetitive inhibition. Of the remaining compounds, five charged ones exhibited reduced binding stability due to competing electrostatic interactions and increased solvent exposure, while seven neutral compounds showed stronger binding affinity driven by van der Waals (vdW) interactions compensating for unfavorable electrostatic effects (including electrostatic interactions and desolvation penalties). Positive and negative hotspot residues were identified as uncharged and charged, respectively, both lining the SBC. Despite forming diverse interactions with compounds, the burial of positive hotspots led to strong vdW interactions that overcompensated for unfavorable electrostatic effects, whereas negative hotspots incurred high desolvation penalties, negating any favorable contributions. Charged residues at the SBC's outer rim can reduce binding affinity significantly when forming hydrogen bonds or salt bridges. These findings underscore the importance of enhancing vdW interactions with uncharged residues and minimizing the unfavorable electrostatic effects of charged residues, providing valuable insights for designing effective TMPRSS2 inhibitors.

Porcine deltacoronavirus (PDCoV) and transmissible gastroenteritis coronavirus (TGEV), the two causative agents of porcine diarrhea, have been reported to be at risk of cross-species transmission, including to humans. However, the potential host range in which these two CoVs interact remains unclear. We screened 16 animal counterparts for porcine aminopeptidase N (APN), the receptor of PDCoV and TGEV, and found that APNs from eight of 17 animals could bind to the receptor-binding domains (RBDs) of PDCoV and TGEV. Furthermore, the animal APNs that could bind to the RBDs could mediate cellular infection by both viruses. Dog APN (dAPN) has been identified as the animal receptor with the highest capability to mediate the virus infection. We further resolved the complex structures of dAPN bound to the PDCoV RBD/TGEV RBD, respectively, establishing its divergent receptor-binding modes. We identified R325 of dAPN as an important residue in the PDCoV RBD-dAPN interaction, and found the central role of Q746 and T749 in dAPN in the interaction with the TGEV RBD. These findings provide the molecular basis of the potential cross-species transmission of these two porcine CoVs and shed light on future surveillance of these CoVs.

Drug repurposing can serve an important role in rapidly discovering medicament options for emerging microbial pandemics. In this study, a pragmatic approach is demonstrated for screening and testing drug combinations as potential broad-spectrum therapies against SARS-CoV-2 and other betacoronaviruses. Rapid cell-based phenotypic small molecule screens were executed using related common-cold-causing HCoV-OC43 betacoronavirus to identify replication inhibitors from a library of drugs approved by regulatory agencies for other indications. Given the best inhibitors, an expedient checkerboard strategy then served to identify synergistic drug combinations. These combinations were then validated using more challenging assays involving SARS-CoV-2 and variants. Promising drug combinations against multiple viral variants were discovered and involved Tilorone with Nelfinavir or Molnupiravir.

In the field of public health, the prevention and management of infectious diseases in rural regions have always been crucial. This study aims to analyze the factors influencing rural residents' Knowledge, Attitude, and Practices and their correlation with infection risk during the late stage of an epidemic, with a focus on the COVID-19 case.

A cross-sectional study was conducted in rural regions of China's Guangdong province, using a multi-stage sampling technique to select rural residents for a validated questionnaire survey in February 2023. Descriptive statistical method was used to describe the infection status of rural residents and Chi-Square Test was used to explore the influencing factors of Knowledge, Attitude and Practice in this population. Multivariable binary logistic regression analysis was conducted to determine the presence of a statistically significant association between explanatory variables and outcome variables at corresponding 95% CI.

A total of 3,125 rural residents were investigated, of whom 805 had never been infected with COVID-19. The survey participants had an average score of 5.84 ± 1.419 for COVID-19 knowledge. (The total score range is from 0 to 8. A score greater than 6.4 indicates good knowledge acquisition.) Regarding the attitude and practice sections, the average scores were 23.68 ± 3.169 and 23.45 ± 5.030, respectively. (The total score range of both these sections is from 0 to 32. A score greater than 25.6 represents positive attitudes and good practices.) The reduction of COVID-19 risk is significantly associated with an increase in Knowledge scores (p trend < 0.01). In stratified analyses, the Knowledge, Attitudes, and Practices scores of residents in each region have varying degrees of correlation with the risk of SARS-CoV-2 infection.

Rural residents' Knowledge, Attitudes, and Practices on COVID-19 prevention and control requires improvement. Efforts to promote their' perceptions and habits regarding COVID-19 prevention and control are crucial in reducing the risk of infection.

Coronaviruses (CoVs) pose a threat to human health globally, as highlighted by severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and the COVID-19 pandemic. Bats from the Greater Mekong Subregion (GMS) are an important natural reservoir for CoVs. Here we report the differential prevalence of CoVs in bats within Yunnan Province across biological and ecological variables. We also show the coexistence of CoVs in individual bats and identify an additional putative host for SARS-related CoV, with higher dispersal capacity than other known hosts. Notably, 11 SARS-related coronaviruses (SARSr-CoVs) were discovered in horseshoe bats (family Rhinolophidae) and a Chinese water myotis bat (Myotis laniger) by pan-CoV detection and Illumina sequencing. Our findings facilitate an understanding of the fundamental features of the distribution and circulation of CoVs in nature as well as zoonotic spillover risk in the One health framework.

The discovery of alphacoronaviruses and betacoronaviruses in plateau pikas (Ochotona curzoniae) expanded the host range of mammalian coronavirus (CoV) to a new order - Lagomorpha. However, the diversity and evolutionary relationships of CoVs in these plateau-region-specific animal population remains uncertain. We conducted a five-year longitudinal surveillance of CoVs harboured by pikas around Qinghai Lake, China. CoVs were identified in 33 of 236 plateau pikas and 2 of 6 Gansu pikas (Ochotona cansus), with a total positivity rate of 14.5%, and exhibiting a wide spatiotemporal distribution across seven sampling sites and six time points. Through meta-transcriptomic sequencing and RT-PCR, we recovered 16 near-complete viral genome sequences. Phylogenetic analyses classified the viruses as variants of either pika alphacoronaviruses or betacoronaviruses endemic to plateau pikas from the Qinghai-Tibet Plateau region. Of particular note, the pika-associated betacoronaviruses may represent a novel subgenus within the genus Betacoronavirus. Tissue tropism, evaluated using quantitative real-time PCR, revealed the presence of CoV in the rectal and/or lung tissues, with the highest viral loads at 103.55 or 102.80 RNA copies/μL. Surface plasmon resonance (SPR) assays indicated that the newly identified betacoronavirus did not bind to human or pika Angiotensin-converting enzyme 2 (ACE2) or Dipeptidyl peptidase 4 (DPP4). The findings highlight the ongoing circulation and broadening host spectrum of CoVs among pikas, emphasizing the necessity for further investigation to evaluate their potential public health risks.

Continuous surveillance is critical for early intervention against emerging novel SARS-CoV-2 variants. Therefore, we investigated and compared the variant-specific evolutionary epidemiology of all the Delta and Omicron sequences collected between 2021 and 2023 in Kuwait. We used Bayesian phylodynamic models to reconstruct, trace, and compare the two variants' demographics, phylogeographic, and host characteristics in shaping their evolutionary epidemiology. The Omicron had a higher evolutionary rate than the Delta. Both variants underwent periods of sequential growth and decline in their effective population sizes, likely linked to intervention measures and environmental and host characteristics. We found that the Delta strains were frequently introduced into Kuwait from East Asian countries between late 2020 and early 2021, while those of the Omicron strains were most likely from Africa and North America between late 2021 and early 2022. For both variants, our analyses revealed significant transmission routes from patients aged between 20 and 50 years on one side and other age groups, refuting the notion that children are superspreaders for the disease. In contrast, we found that sex has no significant role in the evolutionary history of both variants. We uncovered deeper variant-specific epidemiological insights using phylodynamic models and highlighted the need to integrate such models into current and future genomic surveillance programs.

Predator‒prey interactions and their dynamic changes provide frequent opportunities for viruses to spread among organisms and thus affect their virus diversity. However, the connections between dietary diversity and virus diversity in predators have seldom been studied. The avivorous bats, Ia io, show a seasonal pattern of dietary diversity. Although most of them primarily prey on insects in summer, they mainly prey on nocturnally migrating birds in spring and autumn.

In this study, we characterized the RNA virome of three populations of I. io in Southwest China during summer and autumn using viral metatranscriptomic sequencing. We also investigated the relationships between dietary diversity and RNA virus diversity by integrating DNA metabarcoding and viral metatranscriptomic sequencing techniques at the population level of I. io. We found 55 known genera belonging to 35 known families of RNA viruses. Besides detecting mammal-related viruses, which are the usual concern, we also found a high abundance of insect-related viruses and some bird-related viruses. We found that insect-related viruses were more abundant in summer, while the bird-related viruses were predominantly detected in autumn, which might be caused by the seasonal differences in prey selection by I. io. Additionally, a significant positive correlation was identified between prey diversity and total virus diversity. The more similar the prey composition, the more similar the total virus composition and the higher the count of potential new viruses. We also found that the relative abundance of Picornaviridae increased with increasing prey diversity and body mass.

In this study, significant links were found between RNA virus diversity and dietary diversity of I. io. The results implied that dynamic changes in predator-prey interactions may facilitate frequent opportunities for viruses to spread among organisms. Video Abstract.

From the severe acute respiratory syndrome coronavirus in 2003 to the severe acute respiratory syndrome coronavirus 2 in 2019, coronavirus has seriously threatened human health. Electromagnetic waves not only own high penetration and low pollution but also can physically resonate with the virus. Several studies have demonstrated that electromagnetic waves can inactivate viruses efficiently. However, there is still a lack of systemic studies to analyze the potential factors closely associated with the effectiveness of inactivation, such as pH, temperature, and so on. In this study, we evaluated the inactivation ability of a 2.8 GHz microwave (MW) on MHV-A59, a substitute virus for coronavirus. Moreover, the influences of environmental pH and temperature on inactivation abilities were also discussed. The results showed that the viral morphology was destroyed, and the infectivity of MHV-A59 was significantly decreased after exposure to a 2.8 GHz MW at a density of 100 mW/cm2. Furthermore, alteration of pH 8 could produce synergistic effects with MW on virus inactivation. And, it was also proved that MWs could inactivate viruses better at room temperature than that under lower environmental temperatures. These results suggested that electromagnetic wave has great promise to become an effective tool to eliminate coronavirus.

Globally, the continuous spread and evolution of SARS-CoV-2, along with its variants, profoundly impact human well-being, health, security, and the growth of socio-economic. In the field of development of drugs against COVID-19, the main protease (Mpro) is a critical target as it plays a core role in the lifecycle of SARS-CoV-2. Bofutrelvir acts as a potent inhibitor of SARS-CoV-2 Mpro, demonstrating high efficacy and broad-spectrum antiviral activity. Compared to therapies that require pharmacokinetic boosters, such as ritonavir, the monotherapy approach of Bofutrelvir reduces the risk of potential drug interactions, making it suitable for a wider patient population. However, further studies on the potency and mechanism of inhibition of Bofutrelvir against the Mpro of COVID-19 and its variants, together with other coronaviruses, are needed to prepare for the possibility of a possible re-emerging threat from an analogous virus in the future. Here, we reveal the effective inhibition of Bofutrelvir against the Mpro of SARS-CoV-2, SARS-CoV, and HCoV-229E through FRET and crystallographic analysis. Furthermore, the inhibitory mechanisms of Bofutrelvir against two SARS-CoV-2 Mpro mutants (G15S and K90R) were also elucidated through FRET and crystallographic studies. Through detailed analysis and comparison of these crystal structures, we identified crucial structural determinants of inhibition and elucidated the binding mode of Bofutrelvir to Mpros from different coronaviruses. These findings are hopeful to accelerate the development of safer and more potent inhibitors against the Mpro of coronavirus, and to provide important references for the prevention and treatment of similar viruses that may emerge in the future.

RNA viruses exhibit vast phylogenetic diversity and can significantly impact public health and agriculture. However, current bioinformatics tools for viral discovery from metagenomic data frequently generate false positive virus results, overestimate viral diversity, and misclassify virus sequences. Additionally, current tools often fail to determine virus-host associations, which hampers investigation of the potential threat posed by a newly detected virus. To address these issues we developed VirID, a software tool specifically designed for the discovery and characterization of RNA viruses from metagenomic data. The basis of VirID is a comprehensive RNA-dependent RNA polymerase database to enhance a workflow that includes RNA virus discovery, phylogenetic analysis, and phylogeny-based virus characterization. Benchmark tests on a simulated data set demonstrated that VirID had high accuracy in profiling viruses and estimating viral richness. In evaluations with real-world samples, VirID was able to identify RNA viruses of all types, but also provided accurate estimations of viral genetic diversity and virus classification, as well as comprehensive insights into virus associations with humans, animals, and plants. VirID therefore offers a robust tool for virus discovery and serves as a valuable resource in basic virological studies, pathogen surveillance, and early warning systems for infectious disease outbreaks.

Respiratory tract infections represent a significant global public health concern, disproportionately affecting vulnerable populations such as children, the elderly, and immunocompromised individuals. RNA viruses, particularly influenza viruses and coronaviruses, significantly contribute to respiratory illnesses, especially in immunosuppressed and elderly individuals. Influenza A viruses (IAVs) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to pose global health threats due to their capacity to cause annual epidemics, with profound implications for public health. In addition, the increase in global life expectancy is influencing the dynamics and outcomes of respiratory viral infections. Understanding the molecular mechanisms by which IAVs and SARS-CoV-2 contribute to lung disease progression is therefore crucial. The aim of this review is to comprehensively explore the impact of IAVs and SARS-CoV-2 on chronic lung diseases, with a specific focus on pulmonary fibrosis in the elderly. It also outlines potential preventive and therapeutic strategies and suggests directions for future research.

To adequately prepare for potential hazards caused by emerging and reemerging infectious diseases, the WHO has issued a list of high-priority pathogens that are likely to cause future outbreaks and for which research and development (R&D) efforts are dedicated, known as paramount R&D blueprints. Within R&D efforts, the goal is to obtain effective prophylactic and therapeutic approaches, which depends on a comprehensive knowledge of the etiology, epidemiology, and pathogenesis of these diseases. In this process, the accessibility of animal models is a priority bottleneck because it plays a key role in bridging the gap between in-depth understanding and control efforts for infectious diseases. Here, we reviewed preclinical animal models for high priority disease in terms of their ability to simulate human infections, including both natural susceptibility models, artificially engineered models, and surrogate models. In addition, we have thoroughly reviewed the current landscape of vaccines, antibodies, and small molecule drugs, particularly hopeful candidates in the advanced stages of these infectious diseases. More importantly, focusing on global trends and novel technologies, several aspects of the prevention and control of infectious disease were discussed in detail, including but not limited to gaps in currently available animal models and medical responses, better immune correlates of protection established in animal models and humans, further understanding of disease mechanisms, and the role of artificial intelligence in guiding or supplementing the development of animal models, vaccines, and drugs. Overall, this review described pioneering approaches and sophisticated techniques involved in the study of the epidemiology, pathogenesis, prevention, and clinical theatment of WHO high-priority pathogens and proposed potential directions. Technological advances in these aspects would consolidate the line of defense, thus ensuring a timely response to WHO high priority pathogens.

Nanobodies are emerging as critical tools for drug design. Several have been recently created to serve as inhibitors of severe acute respiratory syndrome coronavirus s (SARS-CoV-2) entry in the host cell by targeting surface-exposed spike protein. Here we have established a pipeline that instead targets highly conserved viral proteins made only after viral entry into the host cell when the SARS-CoV-2 RNA-based genome is translated. As proof of principle, we designed nanobodies against the SARS-CoV-2 non-structural protein (Nsp)9, which is required for viral genome replication. One of these anti-Nsp9 nanobodies, 2NSP23, previously characterized using immunoassays and nuclear magnetic resonance spectroscopy for epitope mapping, was expressed and found to block SARS-CoV-2 replication specifically. We next encapsulated 2NSP23 nanobody into lipid nanoparticles (LNPs) as mRNA. We show that this nanobody, hereby referred to as LNP-mRNA-2NSP23, is internalized and translated in cells and suppresses multiple SARS-CoV-2 variants, as seen by qPCR and RNA deep sequencing. These results are corroborated in three-dimensional reconstituted human epithelium kept at air-liquid interface to mimic the outer surface of lung tissue. These observations indicate that LNP-mRNA-2NSP23 is internalized and, after translation, it inhibits viral replication by targeting Nsp9 in living cells. We speculate that LNP-mRNA-2NSP23 may be translated into an innovative strategy to generate novel antiviral drugs highly efficient across coronaviruses.

Emerging and re-emerging viral pandemics have emerged as a major public health concern. Highly pathogenic coronaviruses, which cause severe respiratory disease, threaten human health and socioeconomic development. Great efforts are being devoted to the development of safe and efficacious therapeutic agents and preventive vaccines to combat them. Nevertheless, the highly mutated virus poses a challenge to drug development and vaccine efficacy, and the use of common immunomodulatory agents lacks specificity. Benefiting from the burgeoning intersection of biological engineering and biotechnology, membrane-derived vesicles have shown superior potential as therapeutics due to their biocompatibility, design flexibility, remarkable bionics, and inherent interaction with phagocytes. The interactions between membrane-derived vesicles, viruses, and the immune system have emerged as a new and promising topic. This review provides insight into considerations for developing innovative antiviral strategies and vaccines against SARS-CoV-2. First, membrane-derived vesicles may provide potential biomimetic decoys with a high affinity for viruses to block virus-receptor interactions for early interruption of infection. Second, membrane-derived vesicles could help achieve a balanced interplay between the virus and the host's innate immunity. Finally, membrane-derived vesicles have revealed numerous possibilities for their employment as vaccines.

Coronaviruses (CoV) are highly pathogenic single-strand RNA viruses. CoV infections cause fatal respiratory symptoms and lung injuries in humans and significant economic losses in livestock. Since the SARS-2 outbreak in 2019, the highly conserved main protease (Mpro), also termed 3-chymotrypsin-like protease (3CLpro), has been considered an attractive drug target for treating CoV infections. Mpro mediates the proteolytic cleavage of eleven sites in viral polypeptides necessary for virus replication. Here, we report that disulfiram, an FDA-approved drug for alcoholic treatment, exhibits a broad-spectrum inhibitory effect on CoV Mpros. Analytical ultracentrifugation and circular dichroism analyses indicated that disulfiram treatment blocks the dimeric formation of SARS and PEDV Mpros and decreases the thermostability of SARS, SARS-2, and PEDV Mpros, whereas it facilitates the dimerization and stability of MERS Mpro. Furthermore, mass spectrometry and structural alignment revealed that disulfiram targets the Cys44 residue of Mpros, which is located at the substrate entrance and close to the catalytic His41. In addition, molecular docking analysis suggests that disulfiram conjugation interferes with substrate entry to the catalytic center. In agreement, mutation of Cys44 modulates the disulfiram sensitivity of CoV Mpros. Our study suggests a broad-spectrum inhibitory function of disulfiram against CoV Mpros.

The Coronavirus disease-2019 (COVID-19) vaccines were rolled out in many countries; however, sub-optimal COVID-19 vaccine uptake remains a major public health concern globally. This study aimed at assessing the factors that affected the uptake, hesitancy, and resistance of the COVID-19 vaccine among university undergraduate students in Malawi, a least developed country in Africa.

A descriptive cross-sectional study design was conducted using an online semi-structured questionnaire. A total of 343 University undergraduate students in Blantyre participated in this study after obtaining ethical clearance. Data was exported from Survey Monkey to Microsoft Excel version-21 for cleaning and was analysed using SPSS version-29. Descriptive statistics, including percentages, were performed to define the sample characteristics. Pearson Chi-square and Fisher's exact test were performed to identify significant relationships between vaccine uptake and demographics. A 95% confidence interval was set, and a p-value of < 0.05 was considered statistically significant.

Of the 343 participants, 43% were vaccinated. Among the vaccinated, the majority (47.3%, n = 69/146) received Johnson & Johnson vaccine followed by AstraZeneca (46.6%, n = 68/146). The commonly reported reason for vaccine acceptance was 'to protect me against getting COVID-19' (49%); whereas vaccine hesitancy was attributed to 'lack of knowledge (34%), and concerns about vaccine safety (25%).

This study found that adequate knowledge about benefits and safety of COVID-19 vaccine could potentially increase uptake. Lack of credible information or misinformation contributed to vaccine hesitancy. The findings provide insights for design of strategies to increase future vaccine uptake and reduce determinants of vaccine hesitancy. To reduce vaccination hesitancy in any population with or without higher education, we recommend that institutions entrusted with vaccine management must optimise health messaging, and reduce mis-information and dis-information.

The recurrent spillovers of coronaviruses (CoVs) have posed severe threats to public health and the global economy. Bat severe acute respiratory syndrome (SARS)-like CoVs RsSHC014 and WIV1, currently circulating in bat populations, are poised for human emergence. The trimeric spike (S) glycoprotein, responsible for receptor recognition and membrane fusion, plays a critical role in cross-species transmission and infection. Here, we determined the cryo-electron microscopy (EM) structures of the RsSHC014 S protein in the closed state at 2.9 Å, the WIV1 S protein in the closed state at 2.8 Å, and the intermediate state at 4.0 Å. In the intermediate state, one receptor-binding domain (RBD) is in the "down" position, while the other two RBDs exhibit poor density. We also resolved the complex structure of the WIV1 S protein bound to human ACE2 (hACE2) at 4.5 Å, which provides structural basis for the future emergence of WIV1 in humans. Through biochemical experiments, we found that despite strong binding affinities between the RBDs and both human and civet ACE2, the pseudoviruses of RsSHC014, but not WIV1, failed to infect 293T cells overexpressing either human or civet ACE2. Mutagenesis analysis revealed that the Y623H substitution, located in the SD2 region, significantly improved the cell entry efficiency of RsSHC014 pseudoviruses, which is likely accomplished by promoting the open conformation of spike glycoproteins. Our findings emphasize the necessity of both efficient RBD lifting and tight RBD-hACE2 binding for viral infection and underscore the significance of the 623 site of the spike glycoprotein for the infectivity of bat SARS-like CoVs.

The bat SARS-like CoVs RsSHC014 and WIV1 can use hACE2 for cell entry without further adaptation, indicating their potential risk of emergence in human populations. The S glycoprotein, responsible for receptor recognition and membrane fusion, plays a crucial role in cross-species transmission and infection. In this study, we determined the cryo-EM structures of the S glycoproteins of RsSHC014 and WIV1. Detailed comparisons revealed dynamic structural variations within spike proteins. We also elucidated the complex structure of WIV1 S-hACE2, providing structural evidence for the potential emergence of WIV1 in humans. Although RsSHC014 and WIV1 had similar hACE2-binding affinities, they exhibited distinct pseudovirus cell entry behavior. Through mutagenesis and cryo-EM analysis, we revealed that besides the structural variations, the 623 site in the SD2 region is another important structural determinant of spike infectivity.

The COVID-19 pandemic has significantly impacted public health and the global economy. It has also been found to have potential effects on pregnancy, neonatal outcomes, and mother-to-infant transmission. This systematic review aims to provide an overview of the maternal and perinatal outcomes associated with pregnancy. A systematic review study was conducted by searching the PubMed, MEDLINE, Embase, and Web of Science databases according to PRISMA guidelines from December 1, 2019, to December 23, 2022. The results indicate that there was an increase in the rate of cesarean delivery among mothers infected with SARS-CoV-2. However, the study found that the mode of delivery for pregnant women infected with SARS-CoV-2 did not increase or decrease the risk of infection for newborns. During the COVID-19 pandemic, there has been an increase in maternal and infant mortality rates, as well as stillbirths and ruptured ectopic pregnancies. Research has shown that SARS-CoV-2 can potentially be transmitted during pregnancy, although vertical transmission is rare. However, additional data are needed to investigate this adverse effect, especially regarding reports of disease recurrence in mothers infected with SARS-CoV-2.

Coronaviruses have caused three severe epidemics since the start of the 21st century: SARS, MERS and COVID-19. The severity of the ongoing COVID-19 pandemic and increasing likelihood of future coronavirus outbreaks motivates greater understanding of factors leading to severe coronavirus disease. We screened ten strains from the Collaborative Cross mouse genetic reference panel and identified strains CC006/TauUnc (CC006) and CC044/Unc (CC044) as coronavirus-susceptible and resistant, respectively, as indicated by variable weight loss and lung congestion scores four days post-infection. We generated a genetic mapping population of 755 CC006xCC044 F2 mice and exposed the mice to one of three genetically distinct mouse-adapted coronaviruses: clade 1a SARS-CoV MA15 (n=391), clade 1b SARS-CoV-2 MA10 (n=274), and clade 2 HKU3-CoV MA (n=90). Quantitative trait loci (QTL) mapping in SARS-CoV MA15- and SARS-CoV-2 MA10-infected F2 mice identified genetic loci associated with disease severity. Specifically, we identified seven loci associated with variation in outcome following infection with either virus, including one, HrS43, that is present in both groups. Three of these QTL, including HrS43, were also associated with HKU3-CoV MA outcome. HrS43 overlaps with a QTL previously reported by our lab that is associated with SARS-CoV MA15 outcome in CC011xCC074 F2 mice and is also syntenic with a human chromosomal region associated with severe COVID-19 outcomes in humans GWAS. The results reported here provide: (a) additional support for the involvement of this locus in SARS-CoV MA15 infection, (b) the first conclusive evidence that this locus is associated with susceptibility across the Sarbecovirus subgenus, and (c) demonstration of the relevance of mouse models in the study of coronavirus disease susceptibility in humans.

This article offers a thorough review of current early warning systems (EWS) and advocates for establishing a unified research network for EWS in infectious diseases between China and Australia. We propose that future research should focus on improving infectious disease surveillance by integrating data from both countries to enhance predictive models and intervention strategies. The article highlights the need for standardized data formats and terminologies, improved surveillance capabilities, and the development of robust spatiotemporal predictive models. It concludes by examining the potential benefits and challenges of this collaborative approach and its implications for global infectious disease surveillance. This is particularly relevant to the ongoing project, early warning systems for Infectious Diseases between China and Australia (NetEWAC), which aims to use seasonal influenza as a case study to analyze influenza trends, peak activities, and potential inter-hemispheric transmission patterns. The project seeks to integrate data from both hemispheres to improve outbreak predictions and develop a spatiotemporal predictive modeling system for seasonal influenza transmission based on socio-environmental factors.

Despite the great potential of CRISPR-based detection, it has not been competitive with other market diagnostics for on-site and in-home testing. Here we dissect the rate-limiting factors that undermine the performance of Cas12b- and Cas13a-mediated detection. In one-pot testing, Cas12b interferes with loop-mediated isothermal amplification by binding to and cleaving the amplicon, while Cas13a directly degrades the viral RNA, reducing its amplification. We found that the protospacer-adjacent motif-interacting domain engineered Cas12b accelerated one-pot testing with 10-10,000-fold improved sensitivity, and detected 85 out of 85 SARS-CoV-2 clinical samples with a sensitivity of 0.5 cp μl-1, making it superior to wild-type Cas12b. In parallel, by diminishing the interference of Cas13a with viral RNA, the optimized Cas13a-based assay detected 86 out of 87 SARS-CoV-2 clinical samples at room temperature in 30 min with a sensitivity of 0.5 cp μl-1. The relaxed reaction conditions and improved performance of CRISPR-based assays make them competitive for widespread use in pathogen detection.

Porcine deltacoronavirus (PDCoV) is an emerging enteric pathogen that has recently been detected in humans. Despite this zoonotic concern, the antigenic structure of PDCoV remains unknown. The virus relies on its spike (S) protein for cell entry, making it a prime target for neutralizing antibodies. Here, we generate and characterize a set of neutralizing antibodies targeting the S protein, shedding light on PDCoV S interdomain crosstalk and its vulnerable sites. Among the four identified antibodies, one targets the S1A domain, causing local and long-range conformational changes, resulting in partial exposure of the S1B domain. The other antibodies bind the S1B domain, disrupting binding to aminopeptidase N (APN), the entry receptor for PDCoV. Notably, the epitopes of these S1B-targeting antibodies are concealed in the prefusion S trimer conformation, highlighting the necessity for conformational changes for effective antibody binding. The binding footprint of one S1B binder entirely overlaps with APN-interacting residues and thus targets a highly conserved epitope. These findings provide structural insights into the humoral immune response against the PDCoV S protein, potentially guiding vaccine and therapeutic development for this zoonotic pathogen.

During infection, positive-stranded RNA causes a rearrangement of the host cell membrane, resulting in specialized membrane structure formation aiding viral genome replication. Double-membrane vesicles (DMVs), typical structures produced by virus-induced membrane rearrangements, are platforms for viral replication. Nidoviruses, one of the most complex positive-strand RNA viruses, have the ability to infect not only mammals and a few birds but also invertebrates. Nidoviruses possess a distinctive replication mechanism, wherein their nonstructural proteins (nsps) play a crucial role in DMV biogenesis. With the participation of host factors related to autophagy and lipid synthesis pathways, several viral nsps hijack the membrane rearrangement process of host endoplasmic reticulum (ER), Golgi apparatus, and other organelles to induce DMV formation. An understanding of the mechanisms of DMV formation and its structure and function in the infectious cycle of nidovirus may be essential for the development of new and effective antiviral strategies in the future.

The continuous endemic of the new SARS-CoV-2 virus brought a halt to the world's activities from February 2020. Our study intends to gauge public perceptions on the consequences of post-pandemic changes on the marine environment, particularly as they are related to tourist beach amenities. Totally, 16 nations' knowledge and views on various environmental viewpoints over the effects of epidemic were gathered through public polls live on social media during social confinement in 2020. The results indicate that around 85% of respondents were most concerned about the alarming sights of widespread plastic trash and the increase of dangerous biomedical wastes through wastewater in the marine ecosystem. The outcomes of this study will undoubtedly aid in the establishment of a management strategy and for future studies on the consequences of any epidemic on the beaches.

Despite the wide availability of several safe and effective vaccines that prevent severe COVID-19, the persistent emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) that can evade vaccine-elicited immunity remains a global health concern. In addition, the emergence of SARS-CoV-2 VOCs that can evade therapeutic monoclonal antibodies underscores the need for additional, variant-resistant treatment strategies. Here, we characterize the antiviral activity of GS-5245, obeldesivir (ODV), an oral prodrug of the parent nucleoside GS-441524, which targets the highly conserved viral RNA-dependent RNA polymerase (RdRp). We show that GS-5245 is broadly potent in vitro against alphacoronavirus HCoV-NL63, SARS-CoV, SARS-CoV-related bat-CoV RsSHC014, Middle East respiratory syndrome coronavirus (MERS-CoV), SARS-CoV-2 WA/1, and the highly transmissible SARS-CoV-2 BA.1 Omicron variant. Moreover, in mouse models of SARS-CoV, SARS-CoV-2 (WA/1 and Omicron B1.1.529), MERS-CoV, and bat-CoV RsSHC014 pathogenesis, we observed a dose-dependent reduction in viral replication, body weight loss, acute lung injury, and pulmonary function with GS-5245 therapy. Last, we demonstrate that a combination of GS-5245 and main protease (Mpro) inhibitor nirmatrelvir improved outcomes in vivo against SARS-CoV-2 compared with the single agents. Together, our data support the clinical evaluation of GS-5245 against coronaviruses that cause or have the potential to cause human disease.

The global impact of zoonotic viral outbreaks underscores the pressing need for innovative antiviral strategies, particularly against respiratory zoonotic RNA viruses. These viruses possess a high potential to trigger future epidemics and pandemics due to their high mutation rate, broad host range and efficient spread through airborne transmission. Recent pandemics caused by coronaviruses and influenza A viruses underscore the importance of developing targeted antiviral strategies. Single-domain antibodies (sdAbs), originating from camelids, also known as nanobodies or VHHs (Variable Heavy domain of Heavy chain antibodies), have emerged as promising tools to combat current and impending zoonotic viral threats. Their unique structure, coupled with attributes like robustness, compact size, and cost-effectiveness, positions them as strong alternatives to traditional monoclonal antibodies. This review describes the pivotal role of sdAbs in combating respiratory zoonotic viruses, with a primary focus on enhancing sdAb antiviral potency through optimization techniques and diverse administration strategies. We discuss both the promises and challenges within this dynamically growing field.

The objective is to explore the impact of the pandemic shock on the unmet medical needs of middle-aged and older adults worldwide.

The COVID-19 pandemic starting in 2020 was used as a quasiexperiment. Exposure to the pandemic was defined based on an individual's context within the global pandemic. Data were obtained from the Integrated Values Surveys. A total of 11 932 middle-aged and older adults aged 45 years and above from 10 countries where the surveys conducted two times during 2011 and 2022 were analysed. We used logistic regression models with the difference-in-difference method to estimate the impact of pandemic exposure on unmet medical needs by comparing differences before and after the pandemic across areas with varying degrees of severity.

Among the 11 932 middle-aged and older adults, 3647 reported unmet medical needs, with a pooled unmet rate of 30.56% (95% CI: 29.74% to 31.40%). The pandemic significantly increased the risk of unmet medical needs among middle-aged and older adults (OR: 2.33, 95% CI: 1.94 to 2.79). The deleterious effect of the pandemic on unmet medical needs was prevalent among middle-aged adults (2.53, 2.00 to 3.20) and older adults (2.00, 1.48 to 2.69), as well as among men (2.24, 1.74 to 2.90) and women (2.34, 1.82 to 3.03). The results remained robust in a series of sensitivity analyses.

These findings suggest that efforts should be made by policymakers and healthcare professionals to balance healthcare resources to adequately address the comprehensive healthcare demands of individuals regarding multiple health issues, taking into account the challenges posed by pandemics.

The lower respiratory system serves as the target and barrier for beta-coronavirus (beta-CoV) infections. In this study, we explored beta-CoV infection dynamics in human bronchial epithelial (HBE) organoids, focusing on HCoV-OC43, SARS-CoV, MERS-CoV, and SARS-CoV-2. Utilizing advanced organoid culture techniques, we observed robust replication for all beta-CoVs, particularly noting that SARS-CoV-2 reached peak viral RNA levels at 72 h postinfection. Through comprehensive transcriptomic analysis, we identified significant shifts in cell population dynamics, marked by an increase in goblet cells and a concurrent decrease in ciliated cells. Furthermore, our cell tropism analysis unveiled distinct preferences in viral targeting: HCoV-OC43 predominantly infected club cells, while SARS-CoV had a dual tropism for goblet and ciliated cells. In contrast, SARS-CoV-2 primarily infected ciliated cells, and MERS-CoV showed a marked affinity for goblet cells. Host factor analysis revealed the upregulation of genes encoding viral receptors and proteases. Notably, HCoV-OC43 induced the unfolded protein response pathway, which may facilitate viral replication. Our study also reveals a complex interplay between inflammatory pathways and the suppression of interferon responses during beta-CoV infections. These findings provide insights into host-virus interactions and antiviral defense mechanisms, contributing to our understanding of beta-CoV infections in the respiratory tract.