The proximal origin of SARS-CoV-2

Virucidal activity of tiliacorinine, dioscorine, racemosol, and terrein against influenza A virus (H1N1), coronavirus 229E, SARS-CoV-2, and enterovirus 71

Emerging infectious diseases such as COVID-19 and Disease X, which was detected in the Democratic Republic of the Congo in early December 2024, underscore the importance of developing new virucidal, antiviral, and antimicrobial compounds. The virucidal activity of natural products, including tiliacorinine (1), dioscorine (2), racemosol (3), and terrein (4), against influenza A virus (H1N1), human coronavirus 229E (HCoV-229E), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and enterovirus 71 (EV71) were evaluated using the American Society for Testing and Materials E1053-20 method. Racemosol (3) from Bauhinia malabarica had the most potent virucidal activity against the H1N1, HCoV-229E, and SARS-CoV-2 viruses, followed by terrein (4), a metabolite of the fungus Aspergillus terreus. Racemosol (3) exhibited virucidal activity with a log reduction of 4 (99.99 % viral reduction) against H1N1, HCoV-229E, and SARS-CoV-2 at a concentration of 0.1250 mg/mL. The alkaloids tiliacorinine (1) from Tiliacora triandra and dioscorine (2) from Dioscorea hispida exhibited weaker virucidal activity than racemosol (3) and terrein (4). Compounds 1, 2, and 4 showed weak virucidal activity against the EV71 virus, while racemosol (3) displayed moderate activity with a log reduction of 3.813 at the concentration of 0.1250 mg/mL. This work underscores the importance of natural products as sources of virucidal agents, which may be useful for the future threats of emerging and re-emerging viral diseases.

RAB5 is a host dependency factor for the generation of SARS-CoV-2 replication organelles

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a threat due to the emergence of variants with increased transmissibility and enhanced escape from immune responses. Like other coronaviruses before, SARS-CoV-2 likely emerged after its transmission from bats. The successful propagation of SARS-CoV-2 in humans might have been facilitated by usurping evolutionarily conserved cellular factors to execute crucial steps in its life cycle, such as the generation of replication organelles-membrane structures where coronaviruses assemble their replication-transcription complex. In this study, we found that RAB5, which is highly conserved across mammals, is a critical host dependency factor for the replication of the SARS-CoV-2 genome. Our results also suggest that SARS-CoV-2 uses RAB5+ membranes to build replication organelles with the aid of COPB1, a component of the COP-I complex, and that the virus protein NSP6 participates in this process. Hence, targeting NSP6 represents a promising approach to interfere with SARS-CoV-2 RNA synthesis and halt its propagation.IMPORTANCEIn this study, we sought to identify the host dependency factors that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) uses for the generation of replication organelles: cellular membranous structures that SARS-CoV-2 builds in order to support the replication and transcription of its genome. We uncovered that RAB5 is an important dependency factor for SARS-CoV-2 replication and the generation of replication organelles, and that the viral protein NSP6 participates in this process. Hence, NSP6 represents a promising target to halt SARS-CoV-2 replication.

Navigating the Interconnected Web of Health: A Comprehensive Review of the One Health Paradigm and Its Implications for Disease Management

Disease outbreaks pose serious threats to humans, as highlighted by the recent pandemic, underscoring the need for an institutionalized multi-sectoral approach like One Health, encompassing human, animal, and environmental health. One Health has demonstrated efficacy in addressing emerging issues such as antimicrobial resistance and zoonotic disease spillover. While integrating the human-animal sector has yielded positive outcomes, the majority of zoonotic spillovers originate from wildlife, emphasizing the crucial role of environmental surveillance within global One Health systems. Additionally, climate change intensifies the frequency and emergence of infectious diseases and spillover events. Tackling the complexity and interconnectedness of health challenges necessitates integrated solutions that incorporate broader structural factors, aiding in the prevention, detection, and mitigation of disease outbreaks. Embracing One Health through multi-sectoral preparedness can effectively confront the escalating threats of pandemics and other emerging diseases.

A replicon-based COVID-19 vaccine candidate delivered by tobacco mosaic virus-like particles

The COVID-19 pandemic highlights the opportunity for mRNA vaccines and their nanotechnology carriers to make an impact as a countermeasure to infectious disease. As alternative to the synthetic lipid nanoparticles or mammalian viruses, we developed a tobacco mosaic virus (TMV)-based mRNA vaccine delivery platform. Specifically, purified coat protein from TMV was used to package a self-amplifying Nodamura replicon expressing the receptor binding domain (RBD) from the Omicron strain of SARS-CoV-2. The replicon construct contains the origin of assembly sequence from the tobacco mosaic virus (TMV) for encapsulation and mRNA stabilization. The nanoparticle vaccine was obtained through in vitro assembly using purified TMV coat proteins and in vitro transcribed mRNA cassettes. Cell assays confirmed delivery of self-amplifying mRNA vaccine, amplification of the transgene and expression of the target protein, RBD, in mammalian cells. Immunization of mice yielded RBD-specific IgG antibodies that demonstrated neutralization of SARS-CoV-2 using an in vitro neutralization assay. The TMV platform nanotechnology does not require ultralow freezers for storage or distribution; and the in vitro assembly method provide 'plug-and-play' to adapt the vaccine formulation rapidly as new strains or diseases emerge. Finally, opportunity exists to produce and self-assemble the vaccine candidate in plants through molecular farming techniques, which may allow production in the region-for the region and could make a contribution to less resourced areas of the world.

Limited knowledge of health risks along the illegal wild meat value chain in the Nairobi Metropolitan Area (NMA)

Consumption of and trade in wild meat could result in infectious pathogen spillover into human populations. Such spillovers could propagate into sustained outbreaks in major cities where human aggregations potentially catalyze their spread. A better understanding of how urban wild meat value chains operate could assist in mitigating spillover events. We used key informant interviews and literature review to understand the structure and operations, actors, their practices, and health risk perceptions along a wild meat value chain supplying a rapidly urbanizing city in Africa, the Nairobi Metropolitan Area (NMA). The value chain operates via three main nodes: harvester, trader, and consumer nodes. We found wild meat to be harvested from peri-urban areas of the NMA, consumed or sold locally, or supplied to distant urban markets. Actors reported increased participation along the value chain during the dry season, and over the Christmas period. The value chain operated informally, creating a 'rules in use' framework focusing on sanction avoidance, while ignoring food safety concerns. Consequently, respondents reported slaughtering wild animals on the bare ground, handling wild meat with unwashed hands and uncleaned utensils. No value chain actors reported wearing personal protective equipment when handling wild meat. At the distant markets' trader node where wild meat was sold as livestock meat, meat vendors engaged in similar unsafe practices. Actors had limited awareness of the specific health risks from wild meat. We speculate that the observed limited health risk awareness, and sanction avoidance attempts promotes unsafe practices during exploitation of wild animals for food, income and for medicinal purposes. Multisectoral efforts at the conservation and public health nexus, as well as community education on the potential health risks from wild meat are key in reducing potential spillovers.

Modes of Binding of Small Molecules Dictate the Interruption of RBD-ACE2 Complex of SARS-CoV-2

The spike protein is a vital target for therapeutic advancement to inhibit viral entrance. Given that the connection between Spike and ACE2 constitutes the initial phase of SARS-CoV-2 pathogenesis, obstructing this interaction presents a promising therapeutic approach. This work aims to find compounds from DrugBank that can modulate the stability of the spike RBD-ACE2 protein-protein complex. Employing a therapeutic repurposing strategy, we conducted molecular docking of over 9000 DrugBank compounds against the Spike RBD-ACE2 complex, on ten variants, including the wild-type. We also evaluated the intricate stability of the RBD-ACE2 proteins by molecular dynamics simulations, hydrogen bond analysis, RMSD analysis, radius of gyration analysis, and the QM-MM approach. We assessed the efficacy of the top ten candidates for each variant as an inhibitor. Our findings demonstrated for the first time that DrugBank small molecules can interact in three distinct modalities inside the extensive protein-protein interface of RBD and ACE2 complexes. The top ten analyses identified specific DrugBank candidates for each variant and molecules capable of binding to multiple variants. This comprehensive computational technique enables the screening and forecasting of hits for any big and shallow protein-protein interface drug targets.

Decoding the SARS-CoV-2 infection process: Insights into origin, spread, and therapeutic approaches

Globally, over 768 million confirmed cases and 6.9 million deaths had been documented as of July 17, 2023. Coronaviruses have a relatively large RNA genome. As with other viruses, SARS-CoV-2 does have an envelope film produced from host cells that are assisted by virally encoded glycoproteins that are required for infectivity, immunological assault, and viral particle production. Although the intermediate source of origin and transmission to humans is unexplained, rapid transmission from human to human has been established. This review focuses on the mechanistic framework for understanding the SARS-CoV-2 viral infection. Additionally, it discusses the origins and implications of COVID-19 using direct quotations from the published scientific literature to avoid misinterpretation of this catastrophic event that resulted in a massive loss of human life and impact on the global economy. The current available information unfolds large number of topics related with COVID-19 and/or the coronavirus (SARS-CoV-2) responsible of the disease. This review article also delves into the multifaceted aspects of COVID-19 and SARS-CoV-2, with a specific focus on a controversial yet essential issue: the possible association between SARS-CoV-2's origin and aldose reductase, an enzyme known for its role in diabetic retinopathy. Exploring this connection holds utmost significance, offering valuable insights into COVID-19's pathogenesis and unlocking new avenues for therapeutic interventions. It is important to trace back the evolution of coronaviruses and reveal the possible origin of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19).

Non-Neoformans Cryptococcal Infections in the Post-Coronavirus Disease-19 (COVID-19) Era: Are We Ready to Face the Emerging Challenge?

Coronaviruses are a large group of viruses that infect animals as well as humans, while it is also suggested that, rarely, coronaviruses that infect animals can evolve and infect humans. Current evidence suggests that severe acute respiratory syndrome (SARS) coronavirus-2 leads to coronavirus disease-19 (COVID-19), the respiratory illness responsible for COVID-19 pandemic, while it has a zoonotic origin, closely related to the bat-origin SARS-like coronavirus. Also, as per the current knowledge, the disease may induce significant and persistent lymphopenia which in turn may increase the risk for various opportunistic infections. Cryptococcus laurentii is one such rare, but serious fungal infection which has been reported in post-COVID-19 disease and is a rising cause of concern since it can turn out to be fatal. The infection is caused by a non-neoformans rare human pathogen. The present case report describes the case of a 45-years old male patient who reported to the Outpatient Department (OPD) for a routine dental complaint with a grossly destructed tooth in left lower back tooth region due to extensive carious involvement, while, simultaneously, presenting with fever since 5 days in the post-COVID-19 phase, and was later diagnosed as being positive for C. laurentii infection on urine culture sensitivity test.

Dissecting the COVID-19 Immune Response: Unraveling the Pathways of Innate Sensing and Response to SARS-CoV-2 Structural Proteins

Severe acute respiratory syndrome coronavirus (SARS-CoV), the virus responsible for COVID-19, interacts with the host immune system through complex mechanisms that significantly influence disease outcomes, affecting both innate and adaptive immunity. These interactions are crucial in determining the disease's severity and the host's ability to clear the virus. Given the virus's substantial socioeconomic impact, high morbidity and mortality rates, and public health importance, understanding these mechanisms is essential. This article examines the diverse innate immune responses triggered by SARS-CoV-2's structural proteins, including the spike (S), membrane (M), envelope (E), and nucleocapsid (N) proteins, along with nonstructural proteins (NSPs) and open reading frames. These proteins play pivotal roles in immune modulation, facilitating viral replication, evading immune detection, and contributing to severe inflammatory responses such as cytokine storms and acute respiratory distress syndrome (ARDS). The virus employs strategies like suppressing type I interferon production and disrupting key antiviral pathways, including MAVS, OAS-RNase-L, and PKR. This study also explores the immune pathways that govern the activation and suppression of immune responses throughout COVID-19. By analyzing immune sensing receptors and the responses initiated upon recognizing SARS-CoV-2 structural proteins, this review elucidates the complex pathways associated with the innate immune response in COVID-19. Understanding these mechanisms offers valuable insights for therapeutic interventions and informs public health strategies, contributing to a deeper understanding of COVID-19 immunopathogenesis.

Detection and characterization of bovine coronavirus and rotavirus in calves in Ethiopia

BACKGROUND

Bovine rotavirus A (BRVA) and bovine coronavirus (BCoV) cause significant diarrhea in young calves, leading to health issues and economic losses in the cattle industry. This study aimed to detect and molecularly characterize BRVA and BCoV in calves from Addis Ababa, Ethiopia. Fecal samples were collected from 105 calves under six months old, both with and without diarrhea. BRVA and BCoV were detected using quantitative real-time Polymerase Chain Reaction (qPCR), followed by genome sequencing for phylogenetic analysis and genotype determination.

RESULTS

BRVA was found in 3.8% of the calves, while BCoV was detected in 2.9%. The identified rotavirus genotypes included G10, found in diarrheic calves, and G8, found in a non-diarrheic calf. All BCoV infections occurred in diarrheic calves. Phylogenetic analysis of the BCoV spike protein 1 (S1) hypervariable region (HVR) and hemagglutinin esterase (HE) gene revealed close relationships with European and Asian strains. The S1 HVR of the current virus sequence PQ249423 was 100% identical at the nucleotide level to previously reported sequences from Ethiopia. Six amino acid substitutions in the HE gene of the current BCoVs were identified compared to the reference Mebus strain of BCoV. Phylogenetic analysis showed that the current G8 BRVA sequences clustered with bovine, caprine, and human rotavirus strains, while the G10 viruses formed a distinct cluster with bovine strains. The G10 viruses showed a 99.37% nucleotide sequence similarity to a previously reported BRVA from Ethiopia, and the G8 virus displayed the highest nucleotide similarity with a caprine isolate from India. Gene segment analysis of the current BRVA viruses indicated varying similarities with human, bovine, caprine, and porcine rotavirus strains, suggesting a potential reassortment event involving artiodactyl, human, and porcine rotavirus.

CONCLUSIONS

This study demonstrates the presence of BRVA and BCoV in Ethiopian dairy calves and provides insights into their genetic diversity. Genetic analysis of BCoV revealed close relationships with strains from Europe and Asia. G10 and G8 were the identified BRVA genotypes, with G8 reported for the first time in Ethiopia. Future research should focus on broader sampling and molecular characterization to understand genetic diversity and devise effective control measures.

Presence of anti-SARS-CoV-2 antibodies in European bison (Bison bonasus) in Poland, 2019-2023

BACKGROUND

The origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains unknown. However, it is likely that the virus spillover occurred from an animal reservoir to humans. Identifying animal species susceptible to SARS-CoV-2 is crucial for understanding cross-species transmission to humans. This study distinguishes itself by focusing on the susceptibility of the European bison (Bison bonasus), an endangered species, to SARS-CoV-2. The objective of this study was to investigate the occurrence of SARS-CoV-2 antibodies in a substantial number (n = 238) of both free-living and captive Polish European bison using an in-house ELISA method and virus neutralization test (VNT).

RESULTS

The seroprevalence of SARS-CoV-2 infection was found to be 1.29% (3/232). None of the seropositive European bison tested positive in the virus neutralization test. All seropositive animals were part of captive herds.

CONCLUSIONS

This study represents the first report of SARS-CoV-2 seroprevalence in both free-ranging and captive European bison in Poland. Based on these findings, the European bison appears to be a less susceptible species to SARS-CoV-2. The most probable route of transmission was from humans to European bison, as all seropositive animals belonged to captive herds with contact with indirect human sources, such as tourists and keepers.

A Review of CAC-717, a Disinfectant Containing Calcium Hydrogen Carbonate Mesoscopic Crystals

Recent studies on utilizing biological functions of natural substances that mimic the mesoscopic structures (nanoparticles of about 50 to 500 nm) found in plant growth points and coral skeletons have been reported. After the calcium hydrogen carbonate contained in materials derived from plants and coral are separated, the crystals of the mesoscopic structure can be reformed by applying a high voltage under a specific set of conditions. A suspension of these mesoscopic crystals in water (CAC-717) can be used as an effective disinfectant. CAC-717 exhibits universal virucidal activity against both enveloped and non-enveloped viruses as well as bactericidal and anti-prion activity. Moreover, in comparison to sodium hypochlorite, the potency of CAC-717 as a disinfectant is less susceptible to organic substances such as albumin. The disinfection activity of CAC-717 is maintained for at least 6 years and 4 months after storage at room temperature. CAC-717 is non-irritating and harmless to humans and animals, making it a promising biosafe disinfectant. This review explores the disinfection activity of CAC-717 as well as the potential and future uses of this material.

GRAMEP: an alignment-free method based on the maximum entropy principle for identifying SNPs

BACKGROUND

Advances in high throughput sequencing technologies provide a huge number of genomes to be analyzed. Thus, computational methods play a crucial role in analyzing and extracting knowledge from the data generated. Investigating genomic mutations is critical because of their impact on chromosomal evolution, genetic disorders, and diseases. It is common to adopt aligning sequences for analyzing genomic variations. However, this approach can be computationally expensive and restrictive in scenarios with large datasets.

RESULTS

We present a novel method for identifying single nucleotide polymorphisms (SNPs) in DNA sequences from assembled genomes. This study proposes GRAMEP, an alignment-free approach that adopts the principle of maximum entropy to discover the most informative k-mers specific to a genome or set of sequences under investigation. The informative k-mers enable the detection of variant-specific mutations in comparison to a reference genome or other set of sequences. In addition, our method offers the possibility of classifying novel sequences with no need for organism-specific information. GRAMEP demonstrated high accuracy in both in silico simulations and analyses of viral genomes, including Dengue, HIV, and SARS-CoV-2. Our approach maintained accurate SARS-CoV-2 variant identification while demonstrating a lower computational cost compared to methods with the same purpose.

CONCLUSIONS

GRAMEP is an open and user-friendly software based on maximum entropy that provides an efficient alignment-free approach to identifying and classifying unique genomic subsequences and SNPs with high accuracy, offering advantages over comparative methods. The instructions for use, applicability, and usability of GRAMEP are open access at https://github.com/omatheuspimenta/GRAMEP .

Evaluating the structure-based virtual screening performance of SARS-CoV-2 main protease: A benchmarking approach and a multistage screening example against the wild-type and Omicron variants

COVID-19 still poses a worldwide health threat due to continuous viral mutations and potential resistance to vaccination. SARS-CoV-2 viral multiplication hindrance by inhibiting the viral main protease (Mpro) deemed propitious. Structure-based virtual screening (SBVS) is a conventional strategy for discovering new inhibitors. Nonetheless, the SBVS efforts against Mpro variants needed to be benchmarked. Herein, in the first stage of the study, we evaluated four docking tools (FRED, PLANTS, AutoDock Vina and CDOCKER) via an in-depth benchmarking approach against SARS-CoV2 Mpro of both the wild type (WTMpro) and the deadly Omicron P132H variant (OMpro). We started by compiling an active dataset of non-covalent small molecule inhibitors of the WTMpro from literature and the COVID-Moonshot database along with generating a high-quality benchmark set via DEKOIS 2.0. pROC-Chemotype plots revealed superior performance for AutoDock Vina against WTMpro, while both FRED and AutoDock Vina demonstrated excellent performance for OMPro. In the second stage, VS was performed on a focused library of 636 compounds transformed from the early-enriched cluster related to perampanel via a scaffold hopping approach. Subsequently, molecular dynamics (MD) simulation and MM GBSA calculations validated the binding potential of the recommended hits against both explored targets. This study provides an example of how to conduct an in-depth benchmarking approach for both WTMPro and OMPro variants and offering an evaluated SBVS protocol for them both.

Genetic and Epigenetic Intersections in COVID-19-Associated Cardiovascular Disease: Emerging Insights and Future Directions

The intersection of COVID-19 and cardiovascular disease (CVD) has emerged as a significant area of research, particularly in understanding the impact of antiplatelet therapies like ticagrelor and clopidogrel. COVID-19 has been associated with acute cardiovascular complications, including myocardial infarction, thrombosis, and heart failure, exacerbated by the virus's ability to trigger widespread inflammation and endothelial dysfunction. MicroRNAs (miRNAs) play a critical role in regulating these processes by modulating the gene expressions involved in platelet function, inflammation, and vascular homeostasis. This study explores the potential of miRNAs such as miR-223 and miR-126 as biomarkers for predicting resistance or responsiveness to antiplatelet therapies in COVID-19 patients with cardiovascular disease. Identifying miRNA signatures linked to drug efficacy could optimize treatment strategies for patients at high risk of thrombotic events during COVID-19 infection. Moreover, understanding miRNA-mediated pathways offers new insights into how SARS-CoV-2 exacerbates CVD, particularly through mechanisms like cytokine storms and endothelial damage. The findings of this research could lead to personalized therapeutic approaches, improving patient outcomes and reducing mortality in COVID-19-associated cardiovascular events. With global implications, this study addresses the urgent need for effective management of CVD in the context of COVID-19, focusing on the integration of molecular biomarkers to enhance the precision of antiplatelet therapy.

Significance of supervision sampling in control of communicable respiratory disease simulated by a new model during different stages of the disease

The coronavirus disease 2019 (COVID-19) interventions in interrupting transmission have paid heavy losses politically and economically. The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-19 transmission curve to be confirmed by constructing epidemiological models, which include statistical models, computer simulations, mathematical illustrations of the pathogen and its effects, and several other methodologies. Although predicting and forecasting the propagation of COVID-19 are valuable, they nevertheless present an enormous challenge. This paper emphasis on pandemic simulation models by introduced respiratory-specific transmission to extend and complement the classical Susceptible-Exposed-(Asymptomatic)-Infected-Recovered SE(A)IR model to assess the significance of the COVID-19 transmission control features to provide an explanation of the rationale for the government policy. A novel epidemiological model is developed using mean-field theory. Utilizing the SE(A)IR extended framework, which is a suitable method for describing the progression of epidemics over actual or genuine landscapes, we have developed a novel model named SEIAPUFR. This model effectively detects the connections between various stages of infection. Subsequently, we formulated eight ordinary differential equations that precisely depict the population's temporal development inside each segment. Furthermore, we calibrated the transmission and clearance rates by considering the impact of various control strategies on the epidemiological dynamics, which we used to project the future course of COVID-19. Based on these parameter values, our emphasis was on determining the criteria for stabilizing the disease-free equilibrium (DEF). We also developed model parameters that are appropriate for COVID-19 outbreaks, taking into account varied population sizes. Ultimately, we conducted simulations and predictions for other prominent cities in China, such as Wuhan, Shanghai, Guangzhou, and Shenzhen, that have recently been affected by the COVID-19 outbreak. By integrating different control measures, respiratory-specific modeling, and disease supervision sampling into an expanded SEI (A) R epidemic model, we found that supervision sampling can improve early warning of viral activity levels and superspreading events, and explained the significance of containments in controlling COVID-19 transmission and the rationality of policy by the influence of different containment measures on the transmission rate. These results indicate that the control measures during the pandemic interrupted the transmission chain mainly by inhibiting respiratory transmission, and the proportion of supervision sampling should be proportional to the transmission rate, especially only aimed at preventing a resurgence of SARS-CoV-2 transmission in low-prevalence areas. Furthermore, The incidence hazard of Males and Females was 1.39(1.23-1.58), and 1.43(1.26-1.63), respectively. Our investigation found that the ratio of peak sampling is directly related to the transmission rate, and both decrease when control measures are implemented. Consequently, the control measures during the pandemic interrupted the transmission chain mainly by inhibiting respiratory transmission. Reasonable and effective interventions during the early stage can flatten the transmission curve, which will slow the momentum of the outbreak to reduce medical pressure.

Managing and mitigating future public health risks: Planetary boundaries, global catastrophic risk, and inclusive wealth

There are two separate conceptualizations for assessing existential risks: Planetary Boundaries (PBs) and global catastrophic risks (GCRs). While these concepts are similar in principle, their underpinning literatures tend not to engage with each other. Research related to these concepts has tended to be siloed in terms of the study of specific threats and also in terms of how these are assumed to materialize; PBs attribute global catastrophes to slow-moving and potentially irreversible global changes, while GCRs focuses on cataclysmic short-term events. We argue that there is a need for a more unified approach to managing global long-term risks, which recognizes the complex and confounded nature of the interactions between PBs and GCRs. We highlight where the PB and GCR concepts overlap and outline these complexities using an example of public health, namely, pandemics and food insecurity. We also present an existing indicator that we argue can be used for monitoring and managing risk. We argue for greater emphasis on national and global ''inclusive wealth'' as a way to measure economic activity and thus to monitor and mitigate the unintended consequences of economic activity. In sum, we call for a holistic approach to stewardship aimed at preserving the integrity of natural capital in the face of a broad range of global risks and their respective regional or global manifestations.

Zoonotic diseases awareness and food safety practices among livestock farmers in Nepal

Interactions between humans and livestock could increase the risk of zoonotic disease transmission. In addition, limited knowledge of zoonoses and foodborne diseases among livestock farmers could heighten the risks of foodborne illness and outbreaks of zoonotic diseases. This study evaluated the awareness of zoonotic diseases and preventive practices for zoonotic and foodborne diseases among livestock farmers of the Chitwan, Rupandehi, and Tanahun districts of Nepal by conducting a cross-sectional survey of 280 livestock farmers. They were recruited using the purposive sampling method from October to December 2022. Descriptive statistics revealed that most (72.1%; n = 202/280) livestock farmers were aware of zoonosis. None of the farmers knew about the zoonotic nature of leptospirosis. Two-thirds of pig farmers (67%; n = 12/18) were aware of zoonotic transmission of swine flu, and more than half of the poultry (58%; 50/86) farmers knew about zoonotic avian influenza. The majority of the farmers who had dogs (83%) and cats (89.4%) in their homes or farms knew that rabies can be transmitted to humans from dogs or cats. The multivariable logistic regression analysis revealed that farmers from the Rupandehi district (aOR: 5.56; 95% CI: 2.18-14.22) and Chitwan (aOR: 6.52; 95% CI: 2.46-17.25) had a higher odds of having good preventive practices than those from Tanahun. Also, farmers who had no sickness in the past 6 months after consumption of animal products were three times (aOR: 2.98; 95% CI: 1.48-6.01) more likely to have better practices. Furthermore, secondary education (aOR: 3.64; 95% CI: 1.41-9.44) was a significant positive predictor of good zoonotic diseases and food safety preventive practices. Our study underscores the necessity to enhance Nepalese livestock farmers' awareness and practices regarding zoonotic and foodborne diseases. It emphasizes the importance of understanding risks, effective behavioral change strategies, and engaging farmers in developing zoonotic disease and foodborne illness prevention programs.

Systematic surveillance of SARS-CoV-2 reveals dynamics of variant mutagenesis and transmission in a large urban population

Highly mutable pathogens generate viral diversity that impacts virulence, transmissibility, treatment, and thwarts acquired immunity. We previously described C19-SPAR-Seq, a high-throughput, next-generation sequencing platform to detect SARS-CoV-2 that we here deployed to systematically profile variant dynamics of SARS-CoV-2 for over 3 years in a large, North American urban environment (Toronto, Canada). Sequencing of the ACE2 receptor binding motif and polybasic furin cleavage site of the Spike gene in over 70,000 patients revealed that population sweeps of canonical variants of concern (VOCs) occurred in repeating wavelets. Furthermore, we found that VOC mutant derivatives and putative quasispecies that targeted functionally important residues and were found in future VOCs arose frequently, but were always extinguished. Systematic screening of functionally relevant domains in pathogens could thus provide a powerful tool for monitoring spread and mutational trajectories, particularly those with zoonotic potential.

Reflections on COVID-19: A Literature Review of SARS-CoV-2 Testing

Although the Coronavirus disease 2019 (COVID-19) pandemic has ended, there are still many important lessons we can learn, as the pandemic profoundly affected every area of laboratory practice. During the pandemic, extensive changes to laboratory staffing had to be implemented, as many healthcare institutions required regular screening of all healthcare staff. Several studies examined the effectiveness of different screening regimens and concluded that repeated testing, even with lower sensitivity tests, could rival the performance of gold-standard RT-PCR testing in the detection of new cases. Many assay evaluations were performed both in the earlier and later periods of the pandemic. They included both nucleocapsid/spike antibodies and automated antigen assays. Early in the pandemic, it was generally agreed that the initial nucleocapsid antibody assays had poor sensitivity when used before 14 days of disease onset, with total or IgG antibodies being preferred over the use of IgM. Spike antibody assays gradually replaced nucleocapsid antibody assays, as most people were vaccinated. Spike antibodies tracked the rise in antibodies after vaccination with mRNA vaccines and became invaluable in the assessment of vaccine response. Studies demonstrated robust antibody secretion with each vaccine dose and could last for several months post-vaccination. When antigen testing was introduced, they became effective tools to identify affected patients when used serially or in an orthogonal fashion with RT-PCR testing. Despite the numerous findings during the pandemic period, research in COVID-19 has slowed. To this day it is difficult to identify a true neutralizing antibody test for the virus. An appropriate antibody level that would confer protective immunity against the plethora of new variants remains elusive. We hope that a summary of events during the pandemic could provide important insights to consider in planning for the next viral pandemic.

Factors associated with COVID-19 vaccination rates in countries with different income levels: a panel analysis

INTRODUCTION

Vaccines against coronavirus disease (COVID-19) are being developed and supplied at an unprecedented rate. However, disparities in income levels among countries has influenced the supply and vaccination rate. This imbalance poses a potential risk factor, especially if vaccine-resistant variants emerge and the pandemic persists. To effectively combat a global pandemic such as COVID-19, understanding the key factors that influence vaccination rates worldwide is essential. This study utilizes cross-country panel regression to examine the factors associated with vaccination rates in countries at different income levels.

METHODS

We analyzed weekly vaccination rates in relation to several COVID-related variables, including government suppression policies, vaccination coverage, and search trends from Google Trends. The data consistently spanned from March 2021 to February 2022. Random-effects panel regression models were employed to identify factors linked to weekly vaccination rates by income level. Independent variables included disease status, country characteristics, policy variables, and search trends.

RESULTS

Significant disparities in weekly vaccination rates were observed between income-level groups. High-income countries experienced considerable fluctuations during outbreaks, whereas, low- and lower-middle-income countries demonstrated steady increase over time. The random-effects model, stratified by income level, showed that the vaccination coverage and search trend for "COVID-19 vaccine" were commonly associated with higher vaccination rates across all income groups. However, other factors varied based on income level, and gross domestic product per capita was not significant in the regression based on income level.

CONCLUSION

Vaccination rate and their associated factors differed across income levels. There is no universal strategy for boosting vaccination rates during a pandemic. Consequently, country specific approaches, including promotional programs to raise awareness and interest in vaccination, are essential for preparing for future pandemics.

SARS-CoV-2 introductions to the island of Ireland: a phylogenetic and geospatiotemporal study of infection dynamics

BACKGROUND

Ireland's COVID-19 response combined extensive SARS-CoV-2 testing to estimate incidence, with whole genome sequencing (WGS) for genome surveillance. As an island with two political jurisdictions-Northern Ireland (NI) and Republic of Ireland (RoI)-and access to detailed passenger travel data, Ireland provides a unique setting to study virus introductions and evaluate public health measures. Using a substantial Irish genomic dataset alongside global data from GISAID, this study aimed to trace the introduction and spread of SARS-CoV-2 across the island.

METHODS

We recursively searched for 29,518 SARS-CoV-2 genome sequences collected in Ireland from March 2020 to June 2022 within the global SARS-CoV-2 phylogenetic tree and identified clusters based on shared last common non-Irish ancestors. A maximum parsimony approach was used to assign a likely country of origin to each cluster. The geographic locations and collection dates of the samples in each introduction cluster were used to map the spread of the virus across Ireland. Downsampling was used to model the impact of varying levels of sequencing and normalisation for population permitted comparison between jurisdictions.

RESULTS

Six periods spanning the early introductions and the emergence of Alpha, Delta, and Omicron variants were studied in detail. Among 4439 SARS-CoV-2 introductions to Ireland, 2535 originated in England, with additional cases largely from the rest of Great Britain, United States of America, and Northwestern Europe. Introduction clusters ranged in size from a single to thousands of cases. Introductions were concentrated in the densely populated Dublin and Belfast areas, with many clusters spreading islandwide. Genetic phylogeny was able to effectively trace localised transmission patterns. Introduction rates were similar in NI and RoI for most variants, except for Delta, which was more frequently introduced to NI.

CONCLUSIONS

Tracking individual introduction events enables detailed modelling of virus spread patterns and clearer assessment of the effectiveness of control measures. Stricter travel restrictions in RoI likely reduced Delta introductions but not infection rates, which were similar across jurisdictions. Local and global sequencing levels influence the information available from phylogenomic analyses and we describe an approach to assess the ability of a chosen WGS level to detect virus introductions.

SARS-CoV-2 pathophysiology and post-vaccination severity: a systematic review

Currently, COVID-19 is still striking after 4 years of prevalence, with millions of cases and thousands of fatalities being recorded every month. The virus can impact other major organ systems, including the gastrointestinal tract (GIT), cardiovascular, central nervous system, renal, and hepatobiliary systems. The resulting organ dysfunction from SARS-CoV-2 may be attributed to one or a combination of mechanisms, such as direct viral toxicity, disruptions in the renin-angiotensin-aldosterone system (RAAS), thrombosis, immune dysregulation, and ischemic injury due to vasculitis. SARS-CoV-2 vaccines effectively reduce the severity of the disease, hospitalizations, and mortality. As of October 2024, 13.58 billion vaccine doses have been administered, with an average of 6959 daily doses. Also, the boosters are given after the primary immunization in a homologous and heterologous manner. The vaccines imposed severe potential health side effects such as clotting or obstruction of blood vessels termed arterial or venous thrombosis, autoimmune damage of nerve cells (Guillain-Barré syndrome; GBS), intense activation of coagulation system (vaccine-induced thrombotic thrombocytopenia), acute ischemic stroke (AIS) and cerebral venous sinus thrombosis (CVST), myocarditis, pericarditis, and glomerular disease. Overall, it is essential to highlight that the significant benefits of COVID-19 vaccination far outweigh the low risk of conditions. mRNA-based vaccine technology has emerged as a rapidly deployable vaccine candidate and a viable alternative to existing vaccines. It has a very low probability of adverse health effects, confirmed by data represented by Preferred Reporting Items for Systematic Reviews and Meta-Analyses, Vaccine Adverse Event Reporting System (VAERS), Yellow card approved under CDC, WHO.

Pre-pandemic artificial MERS analog of polyfunctional SARS-CoV-2 S1/S2 furin cleavage site domain is unique among spike proteins of genus Betacoronavirus

OBJECTIVES

SARS-CoV-2 spike (S) glycoprotein furin cleavage site is a key determinant of SARS-CoV-2 virulence and COVID-19 pathogencity. Located at the S1/S2 junction, it is unique among sarbecoviruses but frequently found among betacoronaviruses. Recent evidence suggests that this site includes two additional functional motifs: a pat7 nuclear localization signal and two flanking O-glycosites. However, a systematic genus and subgenus analysis of spike protein sequences bearing this polyfunctional sequence domain has been missing.

DATA DESCRIPTION

Here we report comprehensive sequence data to demonstrate that among spike proteins of genus Betacoronavirus and outside of the SARS-CoV-2 clade a fully analogous S1/S2 domain was found in only one other virus: the artificial MERS infectious clone MERS-MA30, described already in 2017, which was rationally selected from serial passage in genetically humanized mice. As the evolutionarily closest betacoronaviruses outside of the SARS-CoV-2 clade lack all its three functional motifs, these data extend-beyond natural evolution and zoonosis-the current view on SARS-CoV-2 pre-pandemic origins by presenting the analogous S1/S2 MERS-MA30 sequence domain as a precise molecular blueprint for SARS-CoV-2.

C→U transition biases in SARS-CoV-2: still rampant 4 years from the start of the COVID-19 pandemic

The evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the pandemic and post-pandemic periods has been characterized by rapid adaptive changes that confer immune escape and enhanced human-to-human transmissibility. Sequence change is additionally marked by an excess number of C→U transitions suggested as being due to host-mediated genome editing. To investigate how these influence the evolutionary trajectory of SARS-CoV-2, 2,000 high-quality, coding complete genome sequences of SARS-CoV-2 variants collected pre-September 2020 and from each subsequently appearing alpha, delta, BA.1, BA.2, BA.5, XBB, EG, HK, and JN.1 lineages were downloaded from NCBI Virus in April 2024. C→U transitions were the most common substitution during the diversification of SARS-CoV-2 lineages over the 4-year observation period. A net loss of C bases and accumulation of U's occurred at a constant rate of approximately 0.2%-0.25%/decade. C→U transitions occurred in over a quarter of all sites with a C (26.5%; range 20.0%-37.2%) around five times more than observed for the other transitions (5.3%-6.8%). In contrast to an approximately random distribution of other transitions across the genome, most C→U substitutions occurred at statistically preferred sites in each lineage. However, only the most C→U polymorphic sites showed evidence for a preferred 5'U context previously associated with APOBEC 3A editing. There was a similarly weak preference for unpaired bases suggesting much less stringent targeting of RNA than mediated by A3 deaminases in DNA editing. Future functional studies are required to determine editing preferences, impacts on replication fitness in vivo of SARS-CoV-2 and other RNA viruses, and impact on host tropism.

IMPORTANCE

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the pandemic and post-pandemic periods has shown a remarkable capacity to adapt and evade human immune responses and increase its human-to-human transmissibility. The genome of SARS-CoV-2 is also increasingly scarred by the effects of multiple C→U mutations from host genome editing as a cellular defense mechanism akin to restriction factors for retroviruses. Through the analysis of large data sets of SARS-CoV-2 isolate sequences collected throughout the pandemic period and beyond, we show that C→U transitions have driven a base compositional change over time amounting to a net loss of C bases and accumulation of U's at a rate of approximately 0.2%-0.25%/decade. Most C→U substitutions occurred in the absence of the preferred upstream-base context or targeting of unpaired RNA bases previously associated with the host RNA editing protein, APOBEC 3A. The analyses provide a series of testable hypotheses that can be experimentally investigated in the future.

Advances in Single Particle Mass Analysis

Single particle mass analysis methods allow the measurement and characterization of individual nanoparticles, viral particles, as well as biomolecules like protein aggregates and complexes. Several key benefits are associated with the ability to analyze individual particles rather than bulk samples, such as high sensitivity and low detection limits, and virtually unlimited dynamic range, as this figure of merit strictly depends on analysis time. However, data processing and interpretation of single particle data can be complex, often requiring advanced algorithms and machine learning approaches. In addition, particle ionization, transfer, and detection efficiency can be limiting factors for certain types of analytes. Ongoing developments in the field aim to address these challenges and expand the capabilities of single particle mass analysis techniques. Charge detection mass spectrometry is a single particle version of mass spectrometry in which the charge (z) is determine independently from m/z. Nano-electromechanical resonator mass analysis relies on changes in a nanoscale device's resonance frequency upon deposition of a particle to directly derive its inertial mass. Mass photometry uses interferometric video-microscopy to derive particle mass from the intensity of the scattered light. A common feature of these approaches is the acquisition of single particle data, which can be filtered and concatenated in the form of a particle mass distribution. In the present article, dedicated to our honored colleague Richard Cole, we cover the latest technological advances and applications of these single particle mass analysis approaches.

Investigation of the molecular structure of CHBP, biological activities and SARS-CoV-2 protein binding interaction by molecular and biomolecular spectroscopy approaches

The objective of this investigation is to learn more about the structural, electrical, spectroscopic, and physiochemical characteristics of biologically active cyano-4'-hydroxybiphenyl (CHBP). The title molecule's optimized conformational analysis was computed using the DFT/B3LYP/6-311++G (d, p) level of theory. The observed wavenumbers were compared with theoretical FT-IR and FT-Raman spectra. 1H and 13C NMR experimental spectra in CDCl3 solution (solvent phase) were recorded and the chemical shift was calculated. NBO analysis was used to examine the transfer of charge as well as the intermolecular and intramolecular bonding of orbitals. The TD-DFT (time-dependent DFT) approach was used to estimate theoretical values for both the gas and solvent (ethanol) in the corresponding transitional research, which was conducted using UV-Vis's spectra. Energy gap (Eg = 0.26764 eV) implies that the strong potential for charge transfer, and the stability of the CHBP compound. CHBP compound's has bioactive nature, its drug-likeness and biological properties were evaluated. The predicted topological polar surface area of 44.02 \AA2 for the molecule falls within the permissible range of < 140 \AA2. Based on the docking results, the most stable docking score value is -6.84 kcal/mol. In that interaction, MET 165 affects both phenyl rings in a pi-sulphur fashion and a single bond hydrogen with protein moieties GLN 192. This suggests that the pi-alkyl in PRO 168 is a hydroxyl substitutional ring. Our findings demonstrate the CHBP compound is a good inhibitor against the SAR COVID-19 viral protein.

Genomic characterization and tissue tropism variations of two porcine delta coronavirus strains isolated in China

The porcine delta coronavirus (PDCoV) is a member of the Delta coronavirus genus, which can lead to diarrhea, vomiting, and mortality in piglets. First detected in Hong Kong in 2012, PDCoV has since spread globally. In January 2024, two strains, CHN-ANHZ-2024 and CHN-JSSQ-2024, were isolated from diarrheal piglets in Anhui and Jiangsu provinces. Immunofluorescence assays, electron microscopy, and genome sequencing were performed. Genome analysis revealed that both PDCoV strains belonged to the Chinese lineage, exhibiting amino acid mutations in the S1 region compared to other strains within the lineage. Amino acid mutation at position 530L is uniquely associated with the Thai strain. Notably, CHN-JSSQ-2024 was identified as a recombinant strain of DH1 and CHN-AHHN-2024, with the recombination occurring in the S2 subunit. CHN-ANHZ-2024 caused severe diarrhea with an 80% mortality rate, whereas CHN-JSSQ-2024 resulted in mild diarrhea without mortality. Viral load analysis showed CHN-ANHZ-2024 primarily infecting the brain and kidneys, while CHN-JSSQ-2024 targeted the lungs, revealing notable differences in tissue tropism. We designed the RNA scope Probe-PDCoV-N to visualize viral RNA in the positively detected organs, viral RNA was detected in the brain, cerebellum, kidneys, and lungs of the infected piglets. This study highlights significant differences in the pathogenicity and organ tropism of two PDCoV strains. The CHN-ANHZ-2024 strain caused severe diarrhea and high mortality in piglets, while the CHN-JSSQ-2024 strain exhibited much milder symptoms. Additionally, the study elucidated notable differences in organ tropism between the strains, offering valuable insights into the epidemiological characteristics and pathogenic mechanisms of PDCoV. These findings provide a foundation for the development of targeted prevention and treatment strategies tailored to specific strains in the future.

In silico prediction of pathogen's pandemic potential using the viral trait assessment for pandemics (ViTAP) model

Our world is ever evolving and interconnected, creating constant opportunities for disease outbreaks and pandemics to occur, making pandemic preparedness and pathogen management crucial for global health security. Early pathogen identification and intervention play a key role in mitigating the impacts of disease outbreaks. In this perspective, we present the Viral Trait Assessment for Pandemics (ViTAP) model to aid in the early identification of high-risk viruses that have pandemic potential, which incorporates lessons from past pandemics, including which key viral characteristics are important such as genetic makeup, transmission modes, mutation rates, and symptom severity. This model serves as the foundation for the development of powerful, quantitative tools for the early prediction of pandemic pathogens. The use of such a tool, in conjunction with other pandemic preparedness measures, can allow for early intervention and containment of the virus. This proactive approach could enable timely interventions, guiding public health responses, and resource allocation to prevent widespread outbreaks and mitigate the impact of emerging pathogens.

Statistical Analysis of Multiple Vaccine Effectiveness Against COVID-19 Variants: Integrating Immune Response Dynamics

The study aims to evaluate the association between multiple COVID-19 vaccine doses and daily confirmed cases, incorporating immune response delays to better understand vaccination efficacy. We investigated the effectiveness of multiple COVID-19 vaccinations, with particular emphasis on viral variants, by integrating immune response dynamics into the statistical analysis to provide a more accurate assessment of vaccination outcomes. Detailed data on vaccination numbers and confirmed COVID-19 cases were obtained from the official Korean Ministry of the Interior and Safety website. Multiple linear regression was applied to evaluate the effectiveness of each vaccine dose against different COVID-19 variants. This approach offered a clearer understanding of how vaccination influenced the spread of COVID-19 over time. By accounting for delay periods associated with immune responses, we aimed to provide more accurate insights into the effectiveness of each vaccine dose. The results underscored the impact of multiple vaccinations when incorporating immune response timing and revealed notable differences in the responses of the Delta and Omicron variants to multiple doses. While significant effectiveness was observed against the Omicron variant, a similar positive effect was not evident for the Delta variant.

Investigating and forecasting infectious disease dynamics using epidemiological and molecular surveillance data

The integration of viral genomic data into public health surveillance has revolutionized our ability to track and forecast infectious disease dynamics. This review addresses two critical aspects of infectious disease forecasting and monitoring: the methodological workflow for epidemic forecasting and the transformative role of molecular surveillance. We first present a detailed approach for validating epidemic models, emphasizing an iterative workflow that utilizes ordinary differential equation (ODE)-based models to investigate and forecast disease dynamics. We recommend a more structured approach to model validation, systematically addressing key stages such as model calibration, assessment of structural and practical parameter identifiability, and effective uncertainty propagation in forecasts. Furthermore, we underscore the importance of incorporating multiple data streams by applying both simulated and real epidemiological data from the COVID-19 pandemic to produce more reliable forecasts with quantified uncertainty. Additionally, we emphasize the pivotal role of viral genomic data in tracking transmission dynamics and pathogen evolution. By leveraging advanced computational tools such as Bayesian phylogenetics and phylodynamics, researchers can more accurately estimate transmission clusters and reconstruct outbreak histories, thereby improving data-driven modeling and forecasting and informing targeted public health interventions. Finally, we discuss the transformative potential of integrating molecular epidemiology with mathematical modeling to complement and enhance epidemic forecasting and optimize public health strategies.

Comparative Evolutionary Epidemiology of SARS-CoV-2 Delta and Omicron Variants in Kuwait

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.

The Growing Phenomenon of 'Frozen' Virus Genome Sequences and Their Likely Origin in Research Facility Escapes

'Frozen' virus genome sequences are sampled from outbreaks and have unusually low sequence divergence when compared to genome sequences from historical strains. A growing number of 'frozen' virus genome sequences are being reported as virus genome sequencing becomes more common. Examples of 'frozen' sequences include the 1977 H1N1 'Russian' flu; Venezuelan Equine Encephalitis Virus from Venezuela and Colombia in 1995; E71 sequences from a Hand, Foot and Mouth outbreak in 2007-2009 in China; and a polio strain isolated in 2014 from Anhui, China. The origin of these 'frozen' sequences has been attributed to escapes from research facilities and often appears to be associated with vaccine work. Consequently, a new paradigm for pathogen emergence appears in operation, that involves laboratory research or vaccine production which utilizes 'live' virus isolates of historical strains. The accidental release and re-emergence of such strains are straightforward to detect from their genome sequences and should spur the routine sequencing and publication of all known pathogenic viral strains undergoing experimentation, or being used for vaccine manufacture, in order to facilitate tracing. However, it is noted that novel pathogenic viruses accidentally released into the population from research facilities are harder to detect if their sequence has first not been made public, which should prompt the routine sequencing and reporting of all novel pathogenic viruses before experimentation.

Measuring subjective cognitive complaints with covid-19 brain fog using the subjective scale to investigate cognition (SSTICS)

The term "brain fog" has emerged from the observations of neuropsychiatric conditions present in post-COVID-19 infections. This is characterized by concentration and memory problems, selective attention disorders and difficulties in executive functions, yet it is unclear how long these deficits may persist and which cognitive functions are most vulnerable. Therefore, there is a need to properly evaluate these cognitive complaints using an assessment tool that specifies their intensity and nature. Our primary objective was to explore subjective perceptions of cognitive functioning in COVID-19-associated with brain fog using a tool that was previously validated for assessing subjective cognitive complaints. A total of 68 participants were recruited and the Subjective Scale to Investigate Cognition (SSTICS) was used to assess cognitive complaints. This was the first time that the SSTICS was used for this purpose in subjects with COVID-19. In addition, participants were administered a questionnaire assessing for the presence of various symptoms, as well as COVID-19 clinical parameters. The neuropsychological basis for the construct of the SSTICS was related to the cognitive complaints expressed by participants. A reliability analysis of our sample indicated a high degree of internal consistency (Cronbach's alpha= 0.951). Associations between various SSTICS scores and COVID-related symptomatology and the differences between group of participants who reported cognitive complaints ("complainers") and those who did not were assessed. We performed an exploratory factorial analysis based on Principal Component Analysis (PCA). Based on their distribution, participants were grouped into: "good functioning" - scores 0-9 (35.3%); "medium functioning" - scores 14-23 (25%); and "poor functioning" - scores 26-71 (39.7%). The mean SSTICS score was 20.59 (SD 16.61) and correlated with the quarantine duration and loss of smell. Complainers differed significantly from non-complainers in the total number of symptoms, the quarantine duration and the presence/absence of specific symptoms, such as loss of smell, tiredness and aches/pains. Our study showed that >10% of patients reported subjective cognitive complaints following COVID-19, with most reporting mild or serious cognitive complaints, mostly within the domains of memory, attention, language, executive functioning or praxis.

'Zoonati' vs. 'epistemic tresspasers': Science identity in contentious online advocacy campaigns on the origins of SARS-CoV-2

This article explores how science is mobilized as a collective identity, normative ideal, and instrumental tactic in contentious online global advocacy campaigns on the origins of the SARS-CoV-2 virus. It incorporates qualitative analysis of over 2300 public Twitter postings by core zoonosis and lab origin proponents who identify as scientists. These online exchanges provide a real-time window into how the collective identity of scientist is constructed and mobilized as a master frame. Similarly, this paper explores ways in which the boundaries of science, conspiracy, and politics are set and contested in a context of complex and fast-moving global events.

SARS-CoV-2 S protein harbors furin cleavage site located in a short loop between antiparallel β-strand

Furin cleavage site (FCS) of the SARS-CoV-2 S protein, which connects the S1/S2 junction, is essential for facilitating fusion with the host cells. Wild-type (Wt) SARS-CoV-2 S protein, PDB ID: 6yvb, lacks a sequence of amino acid residues, including the FCS that links the S1/S2 junction. For the first time, we demonstrated that a stretch of 14 amino acid residues (677QTNSPRRARSVASQ689) forms an antiparallel β-sheet comprising of PRRAR sequence in the FCS within a short loop. Upon comparing the loop content of the S1/S2 junction with that of Wt SARS-CoV-2 containing PRRAR in the FCS, we observed a decrease in antiparallel β-sheet content and an increase in loop content in the B.1.1.7 variant with HRRAR in the FCS. This short loop within antiparallel β-sheet can serve as a docking site for various proteases, including TMPRSS2 and α1AT. We performed a 300-ns simulation of the SARS-CoV-2 receptor binding domain (RBD) using several antibacterial and antiviral ligands commonly used to treat various infections. Our findings indicate that the receptor binding domain (RBD) comprising the receptor binding motif (RBM) utilizes β6 and a significant portion of the loop to bind with ligands, suggesting its potential for treating SARS-CoV-2 infections.

The Unique Immune System of Bats: An Evolutionary Analysis and Bibliometric Study

Bats exhibit a greater capacity to tolerate diverse viruses than other terrestrial mammals. To address these questions, we utilized evolutionary and bibliometric analyses to explore the immunological characteristics of bats and identify contemporary research hotspots in bat immunity. To investigate the historical interactions between bats and viral infections, we used tBLASTn software to identify the integrated endogenous retroviruses within the genomes of nine bat species and seven other mammals. To elucidate the immune characteristics of bats, we used the OrthoFinder, CAFE, and Gene Ontology analyses to identify the phylogenetic trees and homologous genes, expanded/contracted gene families, and associated signaling pathways of 28 mammalian genomes. We also used a bibliometric analysis of the "immune system of bats" to identify research hotspots and deepen our understanding of the immune mechanisms in bats. Significant integrations of Gammaretroviruses, Spumaretroviruses, and Deltaretroviruses were observed within bat genomes. Notable expansions in gene families included Type III interferon, heat-shock protein 90 (HSP90), and members of the tumor necrosis factor receptor superfamily (TNFRSF). These expanded gene families are involved in signaling pathways related to "transcription and replication of influenza virus RNA," "COVID-19-related pathways," and "positive regulation of protein phosphorylation." Notable contractions were observed in the "type I interferon" and "antibody-related gene families." Bibliometric analysis further underscored the several significance of critical immune genes, such as HSP90, Type I interferon, Type III interferon, and TNF. The exploration of research hotspots revealed two predominant themes: "efficient and varied antiviral responses" and "dampened inflammation to prevent excessive inflammatory reactions," thereby elucidating the mechanisms underlying the immune adaptations of bats. Through the evolutionary and bibliometric analyses, we identified several critical immune genes and signaling pathways related to bat immunity. Currently, research on the immune system of bats primarily focuses on the themes of "efficient antiviral responses" and "inflammation suppression."

SARS-CoV-2 within-host population expansion, diversification and adaptation in zoo tigers, lions and hyenas

SARS-CoV-2 rapidly adapts to new hosts following cross-species transmission; this is highly relevant as novel within-host variants have emerged following infection of susceptible wild and domestic animal species. Furthermore, SARS-CoV-2 transmission from animals (e.g., white-tailed deer, mink, domestic cats, and others) back to humans has also been observed, documenting the potential of novel animal-derived variants to infect humans. We investigated SARS-CoV-2 evolution and host-specific adaptation during an outbreak in Amur tigers (Panthera tigris altaica), African lions (Panthera leo), and spotted hyenas (Crocuta crocuta) at Denver Zoo in late 2021. SARS-CoV-2 genomes from longitudinal samples collected from 16 individuals were evaluated for within-host variation and genomic signatures of selection. The outbreak was likely initiated by a single spillover of a rare Delta sublineage subsequently transmitted from tigers to lions to hyenas. Within-host virus populations rapidly expanded and diversified. We detected signatures of purifying and positive selection, including strong positive selection in hyenas and in the nucleocapsid (N) gene in all animals. Four candidate species-specific adaptive mutations were identified: N A254V in lions and hyenas, and ORF1a E1724D, spike T274I, and N P326L in hyenas. These results reveal accelerated SARS-CoV-2 adaptation following host shifts in three non-domestic species in daily contact with humans.

The fate of severe acute respiratory syndrome coronavirus-2 and pepper mild mottle virus at various stages of wastewater treatment process

This study investigated the efficiency of the treatment processes of wastewater treatment plants (WWTPs) to remove severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and pepper mild mottle virus (PMMoV) from the wastewater and sewage sludge, as well as the influence of the mode of operation on the quality of the treated wastewater. SARS-CoV-2 and PMMoV were detected and quantified at different stages of the wastewater and sludge treatment process of three major WWTPs in Stockholm, Sweden. The results showed that primary, biological, and advanced membrane treatment processes are effective in removing SARS-CoV-2 from the wastewater with removal efficiencies of 99-100 % for all WWTPs, while the virus was accumulated in the primary and waste-activated sludges due to higher affinity to biosolids. Operation strategies such as bypass reintroduced the virus into the treated wastewater. The WWTPs achieved relatively low PMMoV removal efficiencies (63-87 %) most probably due to the robust capsid structure of the virus. Anaerobic digestion could not completely remove SARS-CoV-2 and PMMoV from the sludge leading to increased levels of SARS-CoV-2 and PMMoV in dewatered sludge. The study gives an overview of WWTPs' role in tackling pathogen spread in society in the event of a pandemic and disease breakout.

Quantum Dot Reporters Designed for CRISPR-Based Detection of Viral Nucleic Acids

Diagnostic methods based on CRISPR technology have shown great potential due to their highly specific, efficient, and sensitive detection capabilities. Although the majority of the current studies rely on fluorescent dye-quencher reporters, the limitations of fluorescent dyes, such as poor photostability and small Stokes shifts, urgently necessitate the optimization of reporters. In this study, we developed innovative quantum dot (QD) reporters for the CRISPR/Cas systems, which not only leveraged the advantages of high photoluminescence quantum yield and large Stokes shifts of QDs but were also easily synthesized through a simple one-step hydrothermal method. Based on the trans-cleavage characteristics of Cas12a and Cas13a, two types of QD reporters were designed, the short DNA strand and the hybridization-based QD reporters, achieving the detection of DNA and RNA at the pM level, respectively, and validating the performance in the analysis of clinical samples. Furthermore, based on the unique property of QDs that allowed multicolor emission under one excitation, the application potential for simultaneous detection of diseases was further investigated. Taken together, this work proposed novel QD reporters that could be applied to the various CRISPR/Cas systems, providing a new toolbox to expand the diagnosis of bioanalytical and biomedical fields.

The Effect of Coronavirus Disease 2019 and Other Emerging Infections on Dentistry

The appearance of coronavirus disease 2019 (COVID-19) and other emerging infections has significantly impacted the field of dentistry, leading to widespread changes in practices and protocols. This has included the implementation of strict infection control measures, such as meticulous use of personal protective equipment, minimizing aerosol-generating procedures, and the adoption of teledentistry to reduce in-person contact. To date, the complete impact of delays in dental care caused by lockdowns has yet to be determined. The challenges faced during the COVID-19 pandemic have propelled innovation, shaping a new era of dentistry focused on safety against novel and re-emerging infections.

Infrared Spectroscopy of SARS-CoV-2 Viral Protein: from Receptor Binding Domain to Spike Protein

Spike (S) glycoprotein is the largest structural protein of SARS-CoV-2 virus and the main one involved in anchoring of the host receptor ACE2 through the receptor binding domain (RBD). S protein secondary structure is of great interest for shedding light on various aspects, from functionality to pathogenesis, finally to spectral fingerprint for the design of optical biosensors. In this paper, the secondary structure of SARS-CoV-2 S protein and its constituting components, namely RBD, S1 and S2 regions, are investigated at serological pH by measuring their amide I infrared absorption bands through Attenuated Total Reflection Infrared (ATR-IR) spectroscopy. Experimental data in combination with MultiFOLD predictions, Define Secondary Structure of Proteins (DSSP) web server and Gravy value calculations, provide a comprehensive understanding of RBD, S1, S2, and S proteins in terms of their secondary structure content, conformational order, and interaction with the solvent.

Evaluation of the therapeutic action of original antiviral drug in SARS-CoV-2

Purpose of this article is to study the possible direct antiviral effect of "Armenikum" on SARS-CoV-2, conduct an in vitro study on the SARS-CoV-2 encephalomocarditis virus, and an in vivo study on the Syrian hamster model. Human coronavirus SARS-CoV-2 (delta strain) was used as the virus. Two groups of four-specimen hamsters were used to study the therapeutic activity of the drug during 48 h after infecting. One group of hamsters served as positive control and was infected with the virus at a similar dose as experimental one and was used as a control of pathology induced by the viral infection till the end of the experiment. Another group of hamsters (four of them) was injected physiological solution and was used as a control. The Syrian hamsters underwent a clinical blood test and computed tomography. "Armenikum" in the form of an injection has a significant antiviral effect on the human coronavirus SARS-CoV-2, credibly reducing the titers of the virus and the time of its elimination from the Syrian hamsters, significantly mitigating the viral infection. "Armenikum" in the form of an injection drug almost completely removes the pathological effect of the virus in the lungs of the hamsters.

Unraveling the structural and functional dimensions of SARS-CoV2 proteins in the context of COVID-19 pathogenesis and therapeutics

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) has emerged as the causative agent behind the global pandemic of Coronavirus Disease 2019 (COVID-19). As the scientific community strives to comprehend the intricate workings of this virus, a fundamental aspect lies in deciphering the myriad proteins it expresses. This knowledge is pivotal in unraveling the complexities of the viral machinery and devising targeted therapeutic interventions. The proteomic landscape of SARS-CoV2 encompasses structural, non-structural, and open-reading frame proteins, each playing crucial roles in viral replication, host interactions, and the pathogenesis of COVID-19. This comprehensive review aims to provide an updated and detailed examination of the structural and functional attributes of SARS-CoV2 proteins. By exploring the intricate molecular architecture, we have highlighted the significance of these proteins in viral biology. Insights into their roles and interplay contribute to a deeper understanding of the virus's mechanisms, thereby paving the way for the development of effective therapeutic strategies. As the global scientific community strives to combat the ongoing pandemic, this synthesis of knowledge on SARS-CoV2 proteins serves as a valuable resource, fostering informed approaches toward mitigating the impact of COVID-19 and advancing the frontier of antiviral research.

The harms of promoting the lab leak hypothesis for SARS-CoV-2 origins without evidence

Science is humanity's best insurance against threats from nature, but it is a fragile enterprise that must be nourished and protected. The preponderance of scientific evidence indicates a natural origin for SARS-CoV-2. Yet, the theory that SARS-CoV-2 was engineered in and escaped from a lab dominates media attention, even in the absence of strong evidence. We discuss how the resulting anti-science movement puts the research community, scientific research, and pandemic preparedness at risk.

Electromagnetic waves destabilize the SARS-CoV-2 Spike protein and reduce SARS-CoV-2 Virus-Like Particle (SC2-VLP) infectivity

Infection and transmission of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to pose a global public health concern. Using electromagnetic waves represents an alternative strategy to inactivate pathogenic viruses such as SARS-CoV-2 and reduce overall transmission. However, whether electromagnetic waves reduce SARS-CoV-2 infectivity is unclear. Here, we adapted a coplanar waveguide (CPW) to identify electromagnetic waves that could neutralize SARS-CoV-2 virus-like particles (SC2-VLPs). Treatment of SC2-VLPs, particularly at frequencies between 2.5-3.5 GHz at an electric field of 400 V/m for 2 minutes, reduced infectivity. Exposure to a frequency of 3.1 GHz decreased the binding of SC2-VLPs to antibodies directed against the Spike S1 subunit receptor binding domain (RBD). These results suggest that electromagnetic waves alter the conformation of Spike, thereby reducing viral attachment to host cell receptors. Overall, this data provides proof-of-concept in using electromagnetic waves for sanitation and prevention efforts to curb the transmission of SARS-CoV-2 and potentially other pathogenic enveloped viruses.

Can periodontitis affect the COVID-19 severity, symptoms, hospital stay, and mortality? A case-control study

Background/purpose

Poor oral hygiene and periodontal disease have been identified as potential risk factors for the coronavirus disease 2019 (COVID-19). The present study aimed to determine the association between periodontitis and COVID-19 severity, nature of symptoms, mortality, and hospital stay.

Methods

In total, 163 COVID-19-positive patients (men: 93; women: 70) were categorized into two groups: the control group, consisting of 120 patients with asymptomatic or mild symptoms, and the case group, consisting of 43 patients with moderate-to-severe symptoms. The severity of periodontal disease, oral hygiene status (OHI), pocket depth (PD), bleeding on probing (BOP), number of decayed/missing/filled teeth, mortality, duration of stay in the hospital, oxygen requirement, and nature of COVID-19 symptoms were assessed in both groups. The association between periodontitis and COVID-19 was analyzed with other confounding factors such as age, sex, comorbidities, oral hygiene, and smoking status.

Results

The presence of periodontitis increases the severity of COVID-19 by 3.7 times (p = 0.002). A statistically significant difference was noted for symptoms such as dizziness (p = 0.036), running nose/cold (p = 0.009), and headache (p = 0.005) in the presence of periodontitis. The risk estimate for death associated with periodontitis was 1.03. Additionally, the average duration of stay was longer for individuals with periodontitis than for those in the control group.

Conclusion

There is a positive association between periodontal disease and COVID-19. Periodontitis increases the severity of COVID-19 and alters the symptoms. Hence, periodontal disease management should be an integral part of managing patients with coronavirus infection.

Immunomics in one health: understanding the human, animal, and environmental aspects of COVID-19

The coronavirus disease 2019 (COVID-19) pandemic underscores the critical need to integrate immunomics within the One Health framework to effectively address zoonotic diseases across humans, animals, and environments. Employing advanced high-throughput technologies, this interdisciplinary approach reveals the complex immunological interactions among these systems, enhancing our understanding of immune responses and yielding vital insights into the mechanisms that influence viral spread and host susceptibility. Significant advancements in immunomics have accelerated vaccine development, improved viral mutation tracking, and broadened our comprehension of immune pathways in zoonotic transmissions. This review highlights the role of animals, not merely as carriers or reservoirs, but as essential elements of ecological networks that profoundly influence viral epidemiology. Furthermore, we explore how environmental factors shape immune response patterns across species, influencing viral persistence and spillover risks. Moreover, case studies demonstrating the integration of immunogenomic data within the One Health framework for COVID-19 are discussed, outlining its implications for future research. However, linking humans, animals, and the environment through immunogenomics remains challenging, including the complex management of vast amounts of data and issues of scalability. Despite challenges, integrating immunomics data within the One Health framework significantly enhances our strategies and responses to zoonotic diseases and pandemic threats, marking a crucial direction for future public health breakthroughs.

Insertions and Deletions: Computational Methods, Evolutionary Dynamics, and Biological Applications

Insertions and deletions constitute the second most important source of natural genomic variation. Insertions and deletions make up to 25% of genomic variants in humans and are involved in complex evolutionary processes including genomic rearrangements, adaptation, and speciation. Recent advances in long-read sequencing technologies allow detailed inference of insertions and deletion variation in species and populations. Yet, despite their importance, evolutionary studies have traditionally ignored or mishandled insertions and deletions due to a lack of comprehensive methodologies and statistical models of insertions and deletion dynamics. Here, we discuss methods for describing insertions and deletion variation and modeling insertions and deletions over evolutionary time. We provide practical advice for tackling insertions and deletions in genomic sequences and illustrate our discussion with examples of insertions and deletion-induced effects in human and other natural populations and their contribution to evolutionary processes. We outline promising directions for future developments in statistical methodologies that would allow researchers to analyze insertions and deletion variation and their effects in large genomic data sets and to incorporate insertions and deletions in evolutionary inference.

The Emergence and Evolution of SARS-CoV-2

The origin of SARS-CoV-2 has evoked heated debate and strong accusations, yet seemingly little resolution. I review the scientific evidence on the origin of SARS-CoV-2 and its subsequent spread through the human population. The available data clearly point to a natural zoonotic emergence within, or closely linked to, the Huanan Seafood Wholesale Market in Wuhan. There is no direct evidence linking the emergence of SARS-CoV-2 to laboratory work conducted at the Wuhan Institute of Virology. The subsequent global spread of SARS-CoV-2 was characterized by a gradual adaptation to humans, with dual increases in transmissibility and virulence until the emergence of the Omicron variant. Of note has been the frequent transmission of SARS-CoV-2 from humans to other animals, marking it as a strongly host generalist virus. Unless lessons from the origin of SARS-CoV-2 are learned, it is inevitable that more zoonotic events leading to more epidemics and pandemics will plague human populations.