Viral Mechanisms Research Articles

Metaphor Diffusion in Online Health Communities: Infodemiology Study in a Stroke Online Health Community.

Online health communities (OHCs) enable patients to create social ties with people with similar health conditions outside their existing social networks. Harnessing mechanisms of information diffusion in OHCs has attracted attention for its ability to improve illness self-management without the use of health care resources. We aimed to analyze the novelty of a metaphor used for the first time in an OHC, assess how it can facilitate self-management of post-stroke symptoms, describe its appearance over time, and classify its diffusion mechanisms. We conducted a passive analysis of posts written by UK stroke survivors and their family members in an online stroke community between 2004 and 2011. Posts including the term "legacy of stroke" were identified. Information diffusion was classified according to self-promotion or viral spread mechanisms and diffusion depth (the number of users the information spreads out to). Linguistic analysis was performed through the British National Corpus and the Google search engine. Post-stroke symptoms were referred to as "legacy of stroke." This metaphor was novel and appeared for the first time in the OHC in the second out of a total of 3459 threads. The metaphor was written by user A, who attributed it to a stroke consultant explaining post-stroke fatigue. This user was a "superuser" (ie, a user with high posting activity) and self-promoted the metaphor throughout the years in response to posts written by other users, in 51 separate threads. In total, 7 users subsequently used the metaphor, contributing to its viral diffusion, of which 3 were superusers themselves. Superusers achieved the higher diffusion depths (maximum of 3). Of the 7 users, 3 had been part of threads where user A mentioned the metaphor, while 2 users had been part of discussion threads in unrelated conversations. In total, 2 users had not been part of threads with any of the other users, suggesting that the metaphor was acquired through prior lurking activity. Metaphors that are considered helpful by patients with stroke to come to terms with their symptoms can diffuse in OHCs through both self-promotion and social (or viral) spreading, with the main driver of diffusion being the superuser trait. Lurking activity (the most common behavior in OHCs) contributed to the diffusion of information. As an increasing number of patients with long-term conditions join OHCs to find others with similar health-related concerns, improving clinicians' and researchers' awareness of the diffusion of metaphors that facilitate self-management in health social media may be beneficial beyond the individual patient.

Epitope-focused immunogens targeting the hepatitis C virus glycoproteins induce broadly neutralizing antibodies.

Hepatitis C virus (HCV) infection causes ~290,000 annual human deaths despite the highly effective antiviral treatment available. Several viral immune evasion mechanisms have hampered the development of an effective vaccine against HCV, among them the remarkable conformational flexibility within neutralization epitopes in the HCV antigens. Here, we report the design of epitope-focused immunogens displaying two distinct HCV cross-neutralization epitopes. We show that these immunogens induce a pronounced, broadly neutralizing antibody response in laboratory and transgenic human antibody mice. Monoclonal human antibodies isolated from immunized human antibody mice specifically recognized the grafted epitopes and neutralized four diverse HCV strains. Our results highlight a promising strategy for developing HCV immunogens and provide an encouraging paradigm for targeting structurally flexible epitopes to improve the induction of neutralizing antibodies.

Nanoparticle targeting strategies for traumatic brain injury.

Nanoparticle (NP)-based drug delivery systems hold immense potential for targeted therapy and diagnosis of neurological disorders, overcoming the limitations of conventional treatment modalities. This review explores the design considerations and functionalization strategies of NPs for precise targeting of the brain and central nervous system. This review discusses the challenges associated with drug delivery to the brain, including the blood-brain barrier and the complex heterogeneity of traumatic brain injury. We also examine the physicochemical properties of NPs, emphasizing the role of size, shape, and surface characteristics in their interactions with biological barriers and cellular uptake mechanisms. The review concludes by exploring the options of targeting ligands designed to augment NP affinity and retention to specific brain regions or cell types. Various targeting ligands are discussed for their ability to mimic receptor-ligand interaction, and brain-specific extracellular matrix components. Strategies to mimic viral mechanisms to increase uptake are discussed. Finally, the emergence of antibody, antibody fragments, and antibody mimicking peptides are discussed as promising targeting strategies. By integrating insights from these scientific fields, this review provides an understanding of NP-based targeting strategies for personalized medicine approaches to neurological disorders. The design considerations discussed here pave the way for the development of NP platforms with enhanced therapeutic efficacy and minimized off-target effects, ultimately advancing the field of neural engineering.

Ex vivo delivery of dsRNA targeting ryanodine receptors for control of Tuta absoluta.

RNA interference (RNAi) is an endogenous eukaryote viral defence mechanism representing a unique form of post-transcriptional gene silencing. Owing to its high specificity, this technology is being developed for use in dsRNA-based biopesticides for control of pest insects. Whilst many lepidopteran species are recalcitrant to RNAi, Tuta absoluta, a polyphagous insect responsible for extensive crop damage, is sensitive. Ryanodine receptors (RyRs) are intracellular calcium channels regulating calcium ion (Ca2+) release. The chemical pesticide class of diamides functions agonistically against lepidopteran RyR, resulting in uncontrolled Ca2+ release, feeding cessation and death. Resistance to diamides has emerged in T. absoluta, derived from RyR point mutations. RNAi was used to target RyR transcripts of T. absoluta. Data presented here demonstrate the systemic use of exogenous T. absoluta RyR-specific (TaRy) dsRNA in tomato plants (Solanum lycopersicum) to significantly downregulate expression of the target gene, resulting in significant insect mortality and reduced leaf damage. Using a leaflet delivery system, daily dosing of 3 μg TaRy dsRNA for 72 h resulted in 50% downregulation of the target gene and 50% reduction in tomato leaf damage. Corrected larval mortality and adult emergence were reduced by 38% and 33%, respectively. TaRy dsRNA demonstrated stability in tomato leaves ≤72 h after dosing. This work identifies TaRy as a promising target for RNAi control of this widespread crop pest. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Blood matters: the hematological signatures of Coronavirus infection

Recent developments have broadened our perception of SARS-CoV-2, indicating its capability to affect the body systemically beyond its initial recognition as a mere respiratory pathogen. However, the pathways of its widespread are not well understood. Employing a dual-modality approach, we integrated findings from a Murine Hepatitis Virus (MHV) infection model with corroborative clinical data to investigate the pervasive reach of Coronaviruses. The novel presence of viral particles within red blood cells (RBCs) was demonstrated via high-resolution transmission electron microscopy, with computational modeling elucidating a potential heme-mediated viral entry mechanism via Spike protein affinity. Our data affirm viral localization in RBCs, suggesting heme moieties as facilitators for cellular invasion. Exacerbation of MHV pathology upon hemin administration, contrasted with chloroquine-mediated amelioration, underscoring a heme-centric pathway in disease progression. These observations extend the paradigm of Coronavirus pathogenicity to include hemoprotein interactions. This study casts new light on the systemic invasion capabilities of Coronaviruses, linking RBC hemoproteins with viral virulence. The modulation of disease severity through heme-interacting agents heralds a promising avenue for COVID-19 therapeutics. Our findings propose a paradigm shift in the treatment approach, leveraging the virus-heme interplay as a strategic hinge for intervention.

Unraveling dual fusion mechanisms in BmNPV GP64: critical roles of CARC motifs and signal peptide retention.

Viral membrane fusion is a critical process enabling viruses to invade host cells, driven by viral membrane fusion proteins (MFPs). Cholesterol plays a pivotal role in this process, which is essential for the infectivity of many enveloped viruses. The interaction between MFPs and cholesterol is often facilitated by specific amino acid motifs known as cholesterol recognition/interaction amino acid consensus (CRAC) motifs and reverse CARC motifs. In a previous study, we demonstrated that CRAC1 and CRAC2 in GP64 are required for Bombyx mori nucleopolyhedrovirus (BmNPV) infection. This study further investigates the role of CARC in the GP64 protein of BmNPV, revealing their complex interaction with cholesterol and the influence of signal peptide (SP) retention on viral infectivity. We identified six putative CARC motifs in GP64 and generated mutants to assess their function. Our findings show that CARC1, CARC2, CARC3, and CARC4 are indispensable for viral fusion and infection when the SP is retained, whereas only CARC2 and CARC3 remain essential after SP cleavage. In contrast, CARC1 and CARC4 are necessary for viral infection through a cholesterol-independent mechanism resulting from double mutations in the CRAC1 and CRAC2 motifs of GP64. These insights not only deepen our understanding of BmNPV GP64-mediated fusion but also highlight potential antiviral targets, underscoring the adaptability and resilience of viral fusion mechanisms.IMPORTANCEUnderstanding viral membrane fusion mechanisms is crucial for developing antiviral strategies. This study provides novel insights into the intricate roles of CARC and CRAC motifs in the GP64 protein of BmNPV, particularly their interaction with cholesterol and the influence of signal peptide retention. The discovery that certain CARC motifs are essential for cholesterol-dependent fusion, whereas others function in a cholesterol-independent context advances our understanding of viral fusion processes. These findings emphasize the potential of targeting CARC motifs for therapeutic interventions and underline the importance of cholesterol interactions in viral infections. This research not only deepens our understanding of BmNPV fusion mechanisms but also has broader implications for other enveloped viruses.

Evaluating the Role of Topical Immunomodulators for Molluscum Contagiosum: A Review

Background Molluscum contagiosum is a common skin infection caused by the molluscum contagiosum virus. The condition can persist for years due to viral immune evasion mechanisms, leading to significant physical and psychosocial impacts. Objective This review aimed to evaluate topical immunomodulators for the treatment of molluscum contagiosum, focusing on their mechanisms, administration methods, clinical safety, and efficacy. Methods and Results A literature search conducted using Pubmed, Google Scholar, and Medline identified five topical immune-stimulating therapies: tretinoin, adapalene, diphencyprone, imiquimod, and berdazimer sodium. While imiquimod is no longer recommended and larger-scale studies are warranted to assess the role of tretinoin, adapalene, and diphencyprone; berdazimer sodium has received FDA approval for molluscum contagiosum treatment. Conclusion The mechanisms underlying topical immunomodulators remain elusive, and long-term comprehensive studies are required to evaluate their effectiveness across diverse presentations of molluscum contagiosum.

The RNA Silencing Suppressor P8 From High Plains Wheat Mosaic Virus is a Functional Tetramer

In plants, RNA interference (RNAi) serves as a critical defense mechanism against viral infections by regulating gene expression. However, viruses have developed RNA silencing suppressor (RSS) proteins to evade this defense mechanism. The High Plains wheat mosaic virus (HPWMoV) is responsible for the High Plains disease in wheat and produces P7 and P8 proteins, which act as RNA silencing suppressors. P8, in particular, lacks sequence similarity to known suppressors, prompting inquiries into its structure and function.Here, we present a comprehensive analysis of P8, elucidating its structure and function. Using X-ray crystallography, we resolved the full-length P8 structure at 1.9 Å resolution, revealing a tetrameric arrangement formed by two identical dimers. Through structure-based mutagenesis, biochemical assays, and functional studies in plants, we demonstrate that HPWMoV P8’s RNA silencing suppression activity relies on its oligomeric state.Contrary to previous report, our findings indicate that while a P8 fused to maltose-binding protein (MBP-P8) was hypothesized to bind short double-stranded RNA, the native P8 tetramer does not interact with small interfering RNA (siRNA). This suggests an alternative mechanism for its function, yet to be determined.Our study sheds light on the structural and functional characteristics of HPWMoV P8, providing valuable insights into the complex interplay between viral suppressors and host defense mechanisms. Significance statementEffective action to address malnutrition in all its forms requires an understanding of the mechanisms affecting it. Wheat, crucial for human and animal consumption, faces threats from biotic and abiotic stresses. RNA silencing is a key defense against viral infections in plants. Plant viruses employ various mechanisms, including encoding viral RNA silencing suppression (VRS) proteins, to evade host immune responses. Despite the conservation of RNA-silencing pathways, viral RSS proteins exhibit diverse sequences, structures, and mechanisms. Our study focuses on P8, an RSS protein from HPWMoV. Understanding its structure and assembly is a crucial step toward comprehending how these viruses counteract host defenses, aiding in combatting malnutrition.

Protein-Protein Interaction Networks Derived from Classical and Machine Learning-Based Natural Language Processing Tools.

The study of protein-protein interactions (PPIs) provides insight into various biological mechanisms, including the binding of antibodies to antigens, enzymes to inhibitors or promoters, and receptors to ligands. Recent studies of PPIs have led to significant biological breakthroughs. For example, the study of PPIs involved in the human:SARS-CoV-2 viral infection mechanism aided in the development of SARS-CoV-2 vaccines. Though several databases exist for the manual curation of PPI networks, text mining methods have been routinely demonstrated as useful alternatives for newly studied or understudied species, where databases are incomplete. Here, the relationship extraction performance of several open-source classical text processing, machine learning (ML)-based natural language processing (NLP), and large language model (LLM)-based NLP tools was compared. Overall, our results indicated that networks derived from classical methods tend to have high true positive rates at the expense of having overconnected networks, ML-based NLP methods have lower true positive rates but networks with the closest structures to the target network, and LLM-based NLP methods tend to exist between the two other approaches, with variable performances. The selection of a specific NLP approach should be tied to the needs of a study and text availability, as models varied in performance due to the amount of text provided.

Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool

Viral proteins that evade the host’s innate immune response play a crucial role in pathogenesis, significantly impacting viral infections and potential therapeutic strategies. Identifying these proteins through traditional methods is challenging and time-consuming due to the complexity of virus-host interactions. Leveraging advancements in computational biology, we present VirusHound-II, a novel tool that utilizes machine learning techniques to predict viral proteins evading the innate immune response with high accuracy. We evaluated a comprehensive range of machine learning models, including ensemble methods, neural networks, and support vector machines. Using a dataset of 1337 viral proteins known to evade the innate immune response (VPEINRs) and an equal number of non-VPEINRs, we employed pseudo amino acid composition as the molecular descriptor. Our methodology involved a tenfold cross-validation strategy on 80% of the data for training, followed by testing on an independent dataset comprising the remaining 20%. The random forest model demonstrated superior performance metrics, achieving 0.9290 accuracy, 0.9283 F1 score, 0.9354 precision, and 0.9213 sensitivity in the independent testing phase. These results establish VirusHound-II as an advancement in computational virology, accessible via a user-friendly web application. We anticipate that VirusHound-II will be a crucial resource for researchers, enabling the rapid and reliable prediction of viral proteins evading the innate immune response. This tool has the potential to accelerate the identification of therapeutic targets and enhance our understanding of viral evasion mechanisms, contributing to the development of more effective antiviral strategies and advancing our knowledge of virus-host interactions.

In vitro one-pot construction of influenza viral genomes for virus particle synthesis based on reverse genetics system.

The reverse genetics system, which allows the generation of influenza viruses from plasmids encoding viral genome, is a powerful tool for basic research on viral infection mechanisms and application research such as vaccine development. However, conventional plasmid construction using Escherichia coli (E.coli) cloning is time-consuming and has difficulties handling DNA encoding genes toxic for E.coli or highly repeated sequences. These limitations hamper rapid virus synthesis. In this study, we establish a very rapid in vitro one-pot plasmid construction (IVOC) based virus synthesis. This method dramatically reduced the time for genome plasmid construction, which was used for virus synthesis, from several days or more to about 8 hours. Moreover, infectious viruses could be synthesized with a similar yield to the conventional E.coli cloning-based method with high accuracy. The applicability of this method was also demonstrated by the generation of recombinant viruses carrying reporter genes from the IVOC products. This method enables the pathogenicity analysis and vaccine development using genetically modified viruses, and it is expected to allow for faster analysis of newly emerging variants than ever before. Furthermore, its application to other RNA viruses is also expected.

Associations of schizophrenia with arrhythmic disorders and electrocardiogram traits: genetic exploration of population samples.

An important contributor to the decreased life expectancy of individuals with schizophrenia is sudden cardiac death. Arrhythmic disorders may play an important role herein, but the nature of the relationship between schizophrenia and arrhythmia is unclear. To assess shared genetic liability and potential causal effects between schizophrenia and arrhythmic disorders and electrocardiogram (ECG) traits. We leveraged summary-level data of large-scale genome-wide association studies of schizophrenia (53 386 cases, 77 258 controls), arrhythmic disorders (atrial fibrillation, 55 114 cases, 482 295 controls; Brugada syndrome, 2820 cases, 10 001 controls) and ECG traits (heart rate (variability), PR interval, QT interval, JT interval and QRS duration, n = 46 952-293 051). We examined shared genetic liability by assessing global and local genetic correlations and conducting functional annotation. Bidirectional causal relations between schizophrenia and arrhythmic disorders and ECG traits were explored using Mendelian randomisation. There was no evidence for global genetic correlation, except between schizophrenia and Brugada syndrome (rg = 0.14, 95% CIs = 0.06-0.22, P = 4.0E-04). In contrast, strong positive and negative local correlations between schizophrenia and all cardiac traits were found across the genome. In the most strongly associated regions, genes related to immune and viral response mechanisms were overrepresented. Mendelian randomisation indicated that liability to schizophrenia causally increases Brugada syndrome risk (beta = 0.14, CIs = 0.03-0.25, P = 0.009) and heart rate during activity (beta = 0.25, CIs = 0.05-0.45, P = 0.015). Despite little evidence for global genetic correlation, specific genomic regions and biological pathways emerged that are important for both schizophrenia and arrhythmia. The putative causal effect of liability to schizophrenia on Brugada syndrome warrants increased cardiac monitoring and early medical intervention in people with schizophrenia.

Fish Snx27 promotes viral products by modulating the innate immune response and exosomal machinery.

Viral nervous necrosis caused by the nervous necrosis virus (NNV) poses a significant threat to the global aquaculture industry. Developing preventive methods to minimize economic losses due to NNV infections is crucial. This study explored the role of the sorting nexin 27 (Snx27) gene, encoded by the orange-spotted grouper (Epinephelus coioides) and referred to as EcSnx27, as an immune regulator affecting red-spotted grouper nervous necrosis virus (RGNNV) infection in vitro. Our findings revealed that EcSnx27 negatively regulates interferon (IFN)-related cytokines and the promoter activities of fish ISRE and NF-κB. Furthermore, we identified the SNX-FERM and SNX-FERM-like domains as responsible for the interaction between EcSnx27 and RGNNV coat protein. Through the detection of viable virions associated with EcSnx27-containing exosomes, we propose that EcSnx27 may contribute to the release process of RGNNV by influencing the apoptosis-linked gene 2-interacting protein X (ALIX)-associated exosomal pathway. Consequently, our study suggests that EcSnx27 promotes RGNNV replication by inhibiting the IFN immune response and facilitating virus production and release through ALIX-mediated exosomal machinery.IMPORTANCERed grouper nervous necrosis virus (RGNNV), a member of the Nodaviridae family, has emerged as a significant cause of fish diseases worldwide, leading to high morbidity and mortality rates. This study investigated the sorting nexin 27 (Snx27) gene encoded by the orange-spotted grouper (Epinephelus coioides) on RGNNV infection in grouper kidney cells. Our findings revealed that EcSnx27 negatively regulated the interferon pathway, resulting in the promotion of RGNNV replication. Additionally, we observed that EcSnx27 could interact with apoptosis-linked gene 2-interacting protein X (ALIX) and the RGNNV coat protein, suggesting its potential involvement in viral release processes through modulation of the exosomal pathway. Our study identified EcSnx27 as a key target that RGNNV exploits to enhance viral production. This finding offers valuable insights into the immune evasion and viral release mechanisms of non-enveloped RNA viruses.

Design and Test of Molecules that Interfere with the Recognition Mechanisms between the SARS-CoV-2 Spike Protein and Its Host Cell Receptors.

The disruptive impact of the COVID-19 pandemic has led the scientific community to undertake an unprecedented effort to characterize viral infection mechanisms. Among these, interactions between the viral glycosylated Spike and the human receptors ACE2 and TMPRSS2 are key to allowing virus invasion. Here, we report and test a fully rational methodology to design molecules that are capable of perturbing the interactions between these critical players in SARS-CoV-2 pathogenicity. To this end, we computationally identify substructures on the fully glycosylated Spike protein that are not intramolecularly optimized and are thus prone to being stabilized by forming complexes with ACE2 and TMPRSS2. With the aim of competing with the Spike-mediated cell entry mechanisms, we have engineered the predicted putative interaction regions in the form of peptide mimics that could compete with Spike for interaction with ACE2 and/or TMPRSS2. Experimental models of viral entry demonstrate that the designed molecules are able to interfere with viral entry into ACE2/TMPRSS2 expressing cells, while they have no effects on the entry of control viral particles that do not harbor the Spike protein or on the entry of Spike-presenting viral particles into cells that do not display its receptors on their surface.

Long-read transcriptomics of Ostreid herpesvirus 1 uncovers a conserved expression strategy for the capsid maturation module and pinpoints a mechanism for evasion of the ADAR-based antiviral defence.

Ostreid herpesvirus 1 (OsHV-1), a member of the family Malacoherpesviridae (order Herpesvirales), is a major pathogen of bivalves. However, the molecular details of the malacoherpesvirus infection cycle and its overall similarity to the replication of mammalian herpesviruses (family Orthoherpesviridae) remain obscure. Here, to gain insights into the OsHV-1 biology, we performed long-read sequencing of infected blood clams, Anadara broughtonii, which yielded over one million OsHV-1 long reads. These data enabled the annotation of the viral genome with 78 gene units and 274 transcripts, of which 67 were polycistronic mRNAs, 35 ncRNAs, and 20 natural antisense transcripts (NATs). Transcriptomics and proteomics data indicate preferential transcription and independent translation of the capsid scaffold protein as an OsHV-1 capsid maturation protease isoform. The conservation of this transcriptional architecture across Herpesvirales likely indicates its functional importance and ancient origin. Moreover, we traced RNA editing events using short-read sequencing and supported the presence of inosine nucleotides in native OsHV-1 RNA, consistent with the activity of adenosine deaminase acting on dsRNA 1 (ADAR1). Our data suggest that, whereas RNA hyper-editing is concentrated in specific regions of the OsHV-1 genome, single-nucleotide editing is more dispersed along the OsHV-1 transcripts. In conclusion, we reveal the existence of conserved pan-Herpesvirales transcriptomic architecture of the capsid maturation module and uncover a transcription-based viral counter defence mechanism, which presumably facilitates the evasion of the host ADAR antiviral system.

In Vivo Dynamics of HIV-1 Infection With Impaired Antibody Immunity and Three General Infection Mechanisms

In this paper we investigate two generalized human immunodeficiency virus type-1 (HIV-1) dynamics models with impaired antibody immunity. The models include both latently and actively infected cells. Three infection mechanisms are incorporated into the models, viral infection mechanism (VIM), latent cellular infection mechanism (CIM) and active CIM. The three infection rates are provided by generic nonlinear functions. The second model includes three types of distributed time delays. We find that our models are biologically feasible. The global stability analysis of equilibria are performed and found the basic reproduction ratio (R0) as a threshold parameter. Using Lyapunov method we show that, the virus-free equilibrium is globally asymptotically stable when R0≤1 and the virus-persistence equilibrium is globally asymptotically stable when R0>1. Sensitivity analysis on R0 is studied. To support our theoretical results we provide some numerical simulations. We have demonstrated that R0 is influenced by all three of the infection types, and that if one of them were ignored, R0 would be underestimated. This might lead to inadequate medication effectiveness that aims to remove HIV-1 from the body. The effects of time delay and impaired antibody immunity on HIV-1 progression are examined. According to our research, lowered immunity is a significant factor in the infection's growth. Furthermore, time delays might drastically reduce R0, which would prevent HIV-1 from replicating. The information provided by our research in this work can improve our comprehension of HIV-1 dynamics within-host and provide guidance for the creation of novel pharmacological treatments.

Revisiting ELISA with in situ amplification of biomarkers to boost its sensitivity

The enzyme-linked immunosorbent assay (ELISA) stands as a pivotal instrument in diagnostics and biomedical research, widely used for the detection and quantification of specific proteins associated with diseases. Despite its critical role, ELISA's ability to identify low-concentration proteins remains a significant challenge, hindering its effectiveness in early diagnostics, an area of growing importance. This study introduces a novel approach termed nucleic acid-templated amplification (NATA) to enhance ELISA's sensitivity without significantly modifying the common practices of the present ELISA. Drawing inspiration from viral proliferation mechanisms, our approach integrates a cell-free protein synthesis step using DNA sequences that encode the target biomarkers. This approach enables an in situ 'amplification' of target proteins during ELISA, boosting their concentrations to detectable levels. Our results demonstrate a substantial enhancement in sensitivity, with ELISA now being able to detect protein biomarkers at femtomolar concentrations—approaching the sensitivity range typically reserved for PCR in nucleic acid analysis. This breakthrough not only broadens ELISA’s applicability in early disease diagnosis and monitoring therapeutic interventions but also marks a significant advancement in protein biomarker detection technology. With its modular design, our method also offers high versatility and sensitivity, offering an advanced approach for protein detection in clinical diagnostics and research.

Viral entry mechanisms: the role of molecular simulation in unlocking a key step in viral infections.

Viral infections are a major global health concern, affecting millions of people each year. Viral entry is one of the crucial stages in the infection process, but its details remain elusive. Enveloped viruses are enclosed by a lipid membrane that protects their genetic material and these viruses are linked to various human illnesses, including influenza, and COVID-19. Due to the advancements made in the field of molecular simulation, significant progress has been made in unraveling the dynamic processes involved in viral entry of enveloped viruses. Simulation studies have provided deep insight into the function of the proteins responsible for attaching to the host receptors and promoting membrane fusion (fusion proteins), deciphering interactions between these proteins and receptors, and shedding light on the functional significance of key regions, such as the fusion peptide. These studies have already significantly contributed to our understanding of this critical aspect of viral infection and assisted the development of effective strategies to combat viral diseases and improve global health. This review focuses on the vital role of fusion proteins in facilitating the entry process of enveloped viruses and highlights the contributions of molecular simulation studies to uncover the molecular details underlying their mechanisms of action.

Immune Dysregulation in the Oral Cavity during Early SARS-CoV-2 Infection

Tissue-specific immune responses are critical determinants of health-maintaining homeostasis and disease-related dysbiosis. In the context of COVID-19, oral immune responses reflect local host-pathogen dynamics near the site of infection and serve as important “windows to the body,” reflecting systemic responses to the invading SARS-CoV-2 virus. This study leveraged multiplex technology to characterize the salivary SARS-CoV-2–specific immunological landscape (37 cytokines/chemokines and 11 antibodies) during early infection. Cytokine/immune profiling was performed on unstimulated cleared whole saliva collected from 227 adult SARS-CoV-2+ participants and 37 controls. Statistical analysis and modeling revealed significant differential abundance of 25 cytokines (16 downregulated, 9 upregulated). Pathway analysis demonstrated early SARS-CoV-2 infection is associated with local suppression of oral type I/III interferon and blunted natural killer–/T-cell responses, reflecting a potential novel immune-evasion strategy enabling infection. This virus-associated immune suppression occurred concomitantly with significant upregulation of proinflammatory pathways including marked increases in the acute phase proteins pentraxin-3 and chitinase-3-like-1. Irrespective of SARS-CoV-2 infection, prior vaccination was associated with increased total α-SARS-CoV-2-spike (trimer), -S1 protein, -RBD, and -nucleocapsid salivary antibodies, highlighting the importance of COVID-19 vaccination in eliciting mucosal responses. Altogether, our findings highlight saliva as a stable and accessible biofluid for monitoring host responses to SARS-CoV-2 over time and suggest that oral-mucosal immune dysregulation is a hallmark of early SARS-CoV-2 infection, with possible implications for viral evasion mechanisms.

Functional genomics screens reveal a role for TBC1D24 and SV2B in antibody-dependent enhancement of dengue virus infection.

Under some conditions, dengue virus (DENV) can hijack IgG antibodies to facilitate its uptake into target cells expressing Fc gamma receptors (FcgR)-a process known as antibody-dependent enhancement (ADE) of infection. Beyond a requirement for FcgR, host dependency factors for this unusual IgG-mediated infection route remain unknown. To identify cellular factors exclusively required for ADE, here, we performed CRISPR knockout (KO) screens in an in vitro system poorly permissive to infection in the absence of IgG antibodies. Validating our approach, a top hit was FcgRIIa, which facilitates the binding and internalization of IgG-bound DENV but is not required for canonical infection. Additionally, we identified host factors with no previously described role in DENV infection, including TBC1D24 and SV2B, which have known functions in regulated secretion. Using genetic knockout and trans-complemented cells, we validated a functional requirement for these host factors in ADE assays performed with monoclonal antibodies and polyclonal sera in multiple cell lines and using all four DENV serotypes. We show that knockout of TBC1D24 or SV2B impaired the binding of IgG-DENV complexes to cells without affecting FcgRIIa expression levels. Thus, we identify cellular factors beyond FcgR that promote efficient ADE of DENV infection. Our findings represent a first step toward advancing fundamental knowledge behind the biology of a non-canonical infection route implicated in disease.IMPORTANCEAntibodies can paradoxically enhance rather than inhibit dengue virus (DENV) infection in some cases. To advance knowledge of the functional requirements of antibody-dependent enhancement (ADE) of infection beyond existing descriptive studies, we performed a genome-scale CRISPR knockout (KO) screen in an optimized in vitro system permissive to efficient DENV infection only in the presence of IgG. In addition to FcgRIIa, a known receptor that facilitates IgG-mediated uptake of IgG-bound, but not naked DENV particles, our screens identified TBC1D24 and SV2B, cellular factors with no known role in DENV infection. We validated a functional role for TBC1D24 and SV2B in mediating ADE of all four DENV serotypes in different cell lines and using various antibodies. Thus, we identify cellular factors beyond Fc gamma receptors that promote ADE mechanisms. This study represents a first step toward advancing fundamental knowledge beyond a poorly understood non-canonical viral entry mechanism.