Neu5Gc binding loss of subtype H7 influenza A virus facilitates adaptation to gallinaceous poultry following transmission from waterbirds.

Between 2013 and 2018, the novel A/Anhui/1/2013 (AH/13)-lineage H7N9 virus caused at least five waves of outbreaks in humans, totaling 1,567 confirmed human cases in China. Surveillance data indicated a disproportionate distribution of poultry infected with this AH/13-lineage virus, and laboratory experiments demonstrated that this virus can efficiently spread among chickens but not among Pekin ducks. The underlying mechanism of this selective transmission remains unclear. In this study, we demonstrated the absence of Neu5Gc expression in chickens across all respiratory and gastrointestinal tissues. However, Neu5Gc expression varied among different duck species and even within the tissues of the same species. The AH/13-lineage viruses exclusively bind to acetylneuraminic acid (Neu5Ac), in contrast to wild waterbird H7 viruses that bind both Neu5Ac and N-glycolylneuraminic acid (Neu5Gc). The level of Neu5Gc expression influences H7 virus replication and facilitates adaptive mutations in these viruses. In summary, our findings highlight the critical role of Neu5Gc in affecting the host range and interspecies transmission dynamics of H7 viruses among avian species.IMPORTANCEMigratory waterfowl, gulls, and shorebirds are natural reservoirs for influenza A viruses (IAVs) that can occasionally spill over to domestic poultry, and ultimately humans. This study showed wild-type H7 IAVs from waterbirds initially bind to glycan receptors terminated with N-acetylneuraminic acid (Neu5Ac) or N-glycolylneuraminic acid (Neu5Gc). However, after enzootic transmission in chickens, the viruses exclusively bind to Neu5Ac. The absence of Neu5Gc expression in gallinaceous poultry, particularly chickens, exerts selective pressure, shaping IAV populations, and promoting the acquisition of adaptive amino acid substitutions in the hemagglutinin protein. This results in the loss of Neu5Gc binding and an increase in virus transmissibility in gallinaceous poultry, particularly chickens. Consequently, the transmission capability of these poultry-adapted H7 IAVs in wild water birds decreases. Timely intervention, such as stamping out, may help reduce virus adaptation to domestic chicken populations and lower the risk of enzootic outbreaks, including those caused by IAVs exhibiting high pathogenicity.

Recurrent SARS-CoV-2 spike mutations confer growth advantages to select JN.1 sublineages.

The recently dominant SARS-CoV-2 Omicron JN.1 has evolved into multiple sublineages, with recurrent spike mutations R346T, F456L, and T572I, some of which exhibit growth advantages, such as KP.2 and KP.3. We investigated these mutations in JN.1, examining their individual and combined effects on immune evasion, ACE2 receptor affinity, and in vitro infectivity. F456L increased resistance to neutralization by human sera, including those after JN.1 breakthrough infections, and by RBD class-1 monoclonal antibodies, significantly altering JN.1 antigenicity. R346T enhanced ACE2-binding affinity and modestly boosted the infectivity of JN.1 pseudovirus, without a discernible effect on serum neutralization, while T572I slightly bolstered evasion of SD1-directed mAbs against JN.1's ancestor, BA.2, possibly by altering SD1 conformation. Importantly, expanding sublineages such as KP.2 containing R346T, F456L, and V1104L, showed similar neutralization resistance as JN.1 with R346T and F456L, suggesting V1104L does not appreciably affect antibody evasion. Furthermore, the hallmark mutation Q493E in KP.3 significantly reduced ACE2-binding affinity and viral infectivity, without noticeably impacting serum neutralization. Our findings illustrate how certain JN.1 mutations confer growth advantages in the population and could inform the design of the next COVID-19 vaccine booster.

Influenza B Virus Receptor Specificity: Closing the Gap between Binding and Tropism.

Influenza A and influenza B viruses (FLUAV and FLUBV, respectively) cause significant respiratory disease, hospitalization, and mortality each year. Despite causing at least 25% of the annual disease burden, FLUBV is historically understudied. Unlike FLUAVs, which possess pandemic potential due to their many subtypes and broad host range, FLUBVs are thought to be restricted to only humans and are limited to two lineages. The hemagglutinins (HA) of both influenza types bind glycans terminating in α2,6- or α2,3-sialic acids. For FLUAV, the tropism of human- and avian-origin viruses is well-defined and determined by the terminal sialic acid configuration the HA can accommodate, with avian-origin viruses binding α2,3-linked sialic acids and human-origin viruses binding α2,6-linked sialic acids. In contrast, less is known about FLUBV receptor binding and its impact on host tropism. This review discusses the current literature on FLUBV receptor specificity, HA glycosylation, and their roles in virus tropism, evolution, and infection. While the focus is on findings in the past dozen years, it should be noted that the most current approaches for measuring virus-glycan interactions have not yet been applied to FLUBV and knowledge gaps remain.

Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction.

Nuclear receptors (NRs) play a crucial role as biological targets in drug discovery. However, determining which compounds can act as endocrine disruptors and modulate the function of NRs with a reduced amount of candidate drugs is a challenging task. Moreover, the computational methods for NR-binding activity prediction mostly focus on a single receptor at a time, which may limit their effectiveness. Hence, the transfer of learned knowledge among multiple NRs can improve the performance of molecular predictors and lead to the development of more effective drugs. In this research, we integrate graph neural networks (GNNs) and Transformers to introduce a few-shot GNN-Transformer, Meta-GTNRP to predict the binding activity of compounds using the combined information of different NRs and identify potential NR-modulators with limited data. The Meta-GTNRP model captures the local information in graph-structured data and preserves the global-semantic structure of molecular graph embeddings for NR-binding activity prediction. Furthermore, a few-shot meta-learning approach is proposed to optimize model parameters for different NR-binding tasks and leverage the complementarity among multiple NR-specific tasks to predict binding activity of compounds for each NR with just a few labeled molecules. Experiments with a compound database containing annotations on the binding activity for 11 NRs shows that Meta-GTNRP outperforms other graph-based approaches. The data and code are available at: https://github.com/ltorres97/Meta-GTNRP .Scientific contributionThe proposed few-shot GNN-Transformer model, Meta-GTNRP captures the local structure of molecular graphs and preserves the global-semantic information of graph embeddings to predict the NR-binding activity of compounds with limited available data; A few-shot meta-learning framework adapts model parameters across NR-specific tasks for different NRs in a joint learning procedure to predict the binding activity of compounds for each NR with just a few labeled molecules in highly imbalanced data scenarios; Meta-GTNRP is a data-efficient approach that combines the strengths of GNNs and Transformers to predict the NR-binding properties of compounds through an optimized meta-learning procedure and deliver robust results valuable to identify potential NR-based drug candidates.

Revealing patterns of SARS-CoV-2 variant emergence and evolution using RBD amplicon sequencing of wastewater.

OBJECTIVES: Rapid evolution of SARS-CoV-2 has resulted in the emergence of numerous variants, posing significant challenges to public health surveillance. Clinical genome sequencing, while valuable, has limitations in capturing the full epidemiological dynamics of circulating variants in the general population. This study aimed to monitor the SARS-CoV-2 variant community dynamics and evolution using receptor-binding domain (RBD) amplicon sequencing of wastewater samples. METHODS: We sequenced wastewater from El Paso, Texas over 17 months, compared the sequencing data with clinical genome data, and performed biodiversity analysis to reveal SARS-CoV-2 variant dynamics and evolution. RESULTS: We identified 91 variants and observed waves of dominant variants transitioning from BA.2 to BA.2.12.1, BA.4&5, BQ.1, and XBB.1.5. Comparison with clinical genome sequencing data revealed earlier detection of variants and identification of unreported outbreaks. Our results also showed strong consistency with clinical data for dominant variants at the local, state, and national levels. Alpha diversity analyses revealed significant seasonal variations, with the highest diversity observed in winter. By segmenting the outbreak into lag, growth, stationary, and decline phases, we found higher variant diversity during the lag phase, likely due to lower inter-variant competition preceding outbreak growth. CONCLUSIONS: Our findings underscore the importance of low transmission periods in facilitating rapid mutation and variant evolution. Our approach, integrating RBD amplicon sequencing with wastewater surveillance, demonstrates effectiveness in tracking viral evolution and understanding variant emergence, thus enhancing public health preparedness.

Avian influenza A H5N1 hemagglutinin protein models have distinct structural patterns re-occurring across the 1959-2023 strains.

Influenza A H5N1 hemagglutinin (HA) plays a crucial role in viral pathogenesis and changes in the HA receptor binding domain (RBD) have been attributed to alterations in viral pathogenesis. Mutations often occur within the HA which in-turn results in HA structural changes that consequently contribute to protein evolution. However, the possible occurrence of mutations that results to reversion of the HA protein (going back to an ancestral protein conformation) which in-turn creates distinct HA structural patterns across the 1959-2023 H5N1 viral evolution has never been investigated. Here, we generated and verified the quality of the HA models, identified similar HA structural patterns, and elucidated the possible variations in HA RBD structural dynamics. Our results show that there are 7 distinct structural patterns occurring among the 1959-2023 H5N1 HA models which suggests that reversion of the HA protein putatively occurs during viral evolution. Similarly, we found that the HA RBD structural dynamics vary among the 7 distinct structural patterns possibly affecting viral pathogenesis.

Differential roles of kinetic on- and off-rates in T-cell receptor signal integration revealed with a modified Fab'-DNA ligand.

Antibody-derived T-cell receptor (TCR) agonists are commonly used to activate T cells. While antibodies can trigger TCRs regardless of clonotype, they bypass native T cell signal integration mechanisms that rely on monovalent, membrane-associated, and relatively weakly binding ligand in the context of cellular adhesion. Commonly used antibodies and their derivatives bind much more strongly than native peptide major histocompatibility complex (pMHC) ligands bind their cognate TCRs. Because ligand dwell time is a critical parameter that tightly correlates with physiological function of the TCR signaling system, there is a general need, both in research and therapeutics, for universal TCR ligands with controlled kinetic binding parameters. To this end, we have introduced point mutations into recombinantly expressed α-TCRß H57 Fab to modulate the dwell time of monovalent Fab binding to TCR. When tethered to a supported lipid bilayer via DNA complementation, these monovalent Fab'-DNA ligands activate T cells with potencies well-correlated with their TCR binding dwell time. Single-molecule tracking studies in live T cells reveal that individual binding events between Fab'-DNA ligands and TCRs elicit local signaling responses closely resembling native pMHC. The unique combination of high on- and off-rates of the H57 R97L mutant enables direct observations of cooperative interplay between ligand binding and TCR-proximal condensation of the linker for activation of T cells, which is not readily visualized with pMHC. This work provides insights into how T cells integrate kinetic information from TCR ligands and introduces a method to develop affinity panels for polyclonal T cells, such as cells from a human patient.

DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes.

Phages, the natural predators of bacteria, were discovered more than 100 years ago. However, increasing antimicrobial resistance rates have revitalized phage research. Methods that are more time-consuming and efficient than wet-laboratory experiments are needed to help screen phages quickly for therapeutic use. Traditional computational methods usually ignore the fact that phage-bacteria interactions are achieved by key genes and proteins. Methods for intraspecific prediction are rare since almost all existing methods consider only interactions at the species and genus levels. Moreover, most strains in existing databases contain only partial genome information because whole-genome information for species is difficult to obtain. Here, we propose a new approach for interaction prediction by constructing new features from key genes and proteins via the application of K-means sampling to select high-quality negative samples for prediction. Finally, we develop DeepPBI-KG, a corresponding prediction tool based on feature selection and a deep neural network. The results show that the average area under the curve for prediction reached 0.93 for each strain, and the overall AUC and area under the precision-recall curve reached 0.89 and 0.92, respectively, on the independent test set; these values are greater than those of other existing prediction tools. The forward and reverse validation results indicate that key genes and key proteins regulate and influence the interaction, which supports the reliability of the model. In addition, intraspecific prediction experiments based on Klebsiella pneumoniae data demonstrate the potential applicability of DeepPBI-KG for intraspecific prediction. In summary, the feature engineering and interaction prediction approaches proposed in this study can effectively improve the robustness and stability of interaction prediction, can achieve high generalizability, and may provide new directions and insights for rapid phage screening for therapy.

Nuclear receptor coactivator 7 (NCOA7) protects cancer cells from oxidative damage through its ERbd domain.

Oxidative stress causes damage to cancer cells and plays an important role in cancer therapy. Antagonizing oxidative stress is crucial for cancer cells to survive during the oxidation-based therapy. In this study, we defined the role of nuclear receptor co-activator 7 (NCOA7) in anti-oxidation in lung cancer cells and found that NCOA7 protects lung cancer A549 cells from the oxidative damage caused by hydrogen peroxide. Knockdown of NCOA7 in A549 cells significantly enhanced the hydrogen peroxide-caused inhibition of cell proliferation and migration, and markedly increased the damage effect of hydrogen peroxide on F-actin and focal adhesion structure, suggesting that NCOA7 protects F-actin and focal adhesion structure, thus the cell proliferation and migration, from oxidation-caused damage. Mechanistically, the anti-oxidation effect of NCOA7 is mediated by its nuclear receptor binding domain, the ERbd domain, suggesting that the anti-oxidation function of NCOA7 is dependent on its nuclear receptor co-activator activity. Our studies identified NCOA7 as an anti-oxidative protein through its nuclear receptor co-activator function and revealed the mechanism underlying the anti-oxidative effect of NCOA7 on cancer cell proliferation and migration.

Identification of amino acid residue in the Cronobacter sakazakii LamB responsible for the receptor compatibility of polyvalent coliphage CSP1.

Polyvalent bacteriophages show the feature of infecting bacteria across multiple species or even orders. Infectivity of a polyvalent phage is variable depending on the host bacteria, which can disclose differential inhibition of bacteria by the phage. In this study, a polyvalent phage CSP1 infecting both Cronobacter sakazakii ATCC 29544 and Escherichia coli MG1655 was isolated. CSP1 showed higher growth inhibition and adsorption rate in E. coli compared to C. sakazakii, and identification of host receptors revealed that CSP1 uses E. coli LamB (LamBE) as a receptor but that CSP1 requires both C. sakazakii LamB (LamBC) and lipopolysaccharide (LPS) core for C. sakazakii infection. The substitution of LamBC with LamBE in C. sakazakii enhanced CSP1 susceptibility and made C. sakazakii LPS core no more essential for CSP1 infection. Comparative analysis of LamBC and LamBE disclosed that the extra proline at amino acid residue 284 in LamBC made a structural distinction by forming a longer loop and that the deletion of 284P in LamBC aligns its structure and makes LamBC function like LamBE, enhancing CSP1 adsorption and growth inhibition of C. sakazakii. These results suggest that 284P of LamBC plays a critical role in determining the CSP1-host bacteria interaction. These findings could provide insight into the elucidation of molecular determinants in the interaction between polyvalent phages and host bacteria and help us to understand the phage infectivity for efficient phage application. IMPORTANCE: Polyvalent phages have the advantage of a broader host range, overcoming the limitation of the narrow host range of phages. However, the limited molecular biological understanding on the host bacteria-polyvalent phage interaction hinders its effective application. Here, we revealed that the ability of the polyvalent phage CSP1 to infect Cronobacter sakazakii ATCC 29544 is disturbed by a single proline residue in the LamB protein and that lipopolysaccharide is used as an auxiliary receptor for CSP1 to support the adsorption and the subsequent infection of C. sakazakii. These results can contribute to a better understanding of the interaction between polyvalent phages and host bacteria for efficient phage application.

Three families of CD4-induced antibodies are associated with the capacity of plasma from people living with HIV to mediate ADCC in the presence of CD4-mimetics.

CD4-mimetics (CD4mcs) are small molecule compounds that mimic the interaction of the CD4 receptor with HIV-1 envelope glycoproteins (Env). Env from primary viruses normally samples a "closed" conformation that occludes epitopes recognized by CD4-induced (CD4i) non-neutralizing antibodies (nnAbs). CD4mcs induce conformational changes on Env resulting in the exposure of these otherwise inaccessible epitopes. Here, we evaluated the capacity of plasma from a cohort of 50 people living with HIV to recognize HIV-1-infected cells and eliminate them by antibody-dependent cellular cytotoxicity (ADCC) in the presence of a potent indoline CD4mc. We observed a marked heterogeneity among plasma samples. By measuring the levels of different families of CD4i Abs, we found that the levels of anti-cluster A, anti-coreceptor binding site, and anti-gp41 cluster I antibodies are responsible for plasma-mediated ADCC in the presence of CD4mc. IMPORTANCE: There are several reasons that make it difficult to target the HIV reservoir. One of them is the capacity of infected cells to prevent the recognition of HIV-1 envelope glycoproteins (Env) by commonly elicited antibodies in people living with HIV. Small CD4-mimetic compounds expose otherwise occluded Env epitopes, thus enabling their recognition by non-neutralizing antibodies (nnAbs). A better understanding of the contribution of these antibodies to eliminate infected cells in the presence of CD4mc could lead to the development of therapeutic cure strategies.

Evidence that the SARS-CoV-2 S protein undergoes a conformational change at the Golgi complex that leads to the formation of virus neutralising antibody binding epitopes in the S1 protein subunit.

Recombinant SARS-CoV-2 S protein expression was examined in Vero cells by imaging using the human monoclonal antibody panel (PD4, PD5, sc23, and sc29). The PD4 and sc29 antibodies recognised conformational specific epitopes in the S2 protein subunit at the Endoplasmic reticulum and Golgi complex. While PD5 and sc23 detected conformationally specific epitopes in the S1 protein subunit at the Golgi complex, only PD5 recognised the receptor binding domain (RBD). A comparison of the staining patterns of PD5 with non-conformationally specific antibodies that recognises the S1 subunit and RBD suggested the PD5 recognised a conformational structure within the S1 protein subunit. Our data suggests the antibody binding epitopes recognised by the human monoclonal antibodies formed at different locations in the secretory pathway during S protein transport, but a conformational change in the S1 protein subunit at the Golgi complex formed antibody binding epitopes that are recognised by virus neutralising antibodies.

Deciphering the adsorption machinery of Deep-Blue and Vp4, two myophages targeting members of the Bacillus cereus group.

In tailed phages, the baseplate is the macromolecular structure located at the tail distal part, which is directly implicated in host recognition and cell wall penetration. In myophages (i.e., with contractile tails), the baseplate is complex and comprises a central puncturing device and baseplate wedges connecting the hub to the receptor-binding proteins (RBPs). In this work, we investigated the structures and functions of adsorption-associated tail proteins of Deep-Blue and Vp4, two Herelleviridae phages infecting members of the Bacillus cereus group. Their interest resides in their different host spectrum despite a high degree of similarity. Analysis of their tail module revealed that the gene order is similar to that of the Listeria phage A511. Among their tail proteins, Gp185 (Deep-Blue) and Gp112 (Vp4) had no structural homolog, but the C-terminal variable parts of these proteins were able to bind B. cereus strains, confirming their implication in the phage adsorption. Interestingly, Vp4 and Deep-Blue adsorption to their hosts was also shown to require polysaccharides, which are likely to be bound by the arsenal of carbohydrate-binding modules (CBMs) of these phages' baseplates, suggesting that the adsorption does not rely solely on the RBPs. In particular, the BW Gp119 (Vp4), harboring a CBM fold, was shown to effectively bind to bacterial cells. Finally, we also showed that the putative baseplate hub proteins (i.e., Deep-Blue Gp189 and Vp4 Gp110) have a bacteriolytic activity against B. cereus strains, which supports their role as ectolysins locally degrading the peptidoglycan to facilitate genome injection. IMPORTANCE: The Bacillus cereus group comprises closely related species, including some with pathogenic potential (e.g., Bacillus anthracis and Bacillus cytotoxicus). Their toxins represent the most frequently reported cause of food poisoning outbreaks at the European level. Bacteriophage research is undergoing a remarkable renaissance for its potential in the biocontrol and detection of such pathogens. As the primary site of phage-bacteria interactions and a prerequisite for successful phage infection, adsorption is a crucial process that needs further investigation. The current knowledge about B. cereus phage adsorption is currently limited to siphoviruses and tectiviruses. Here, we present the first insights into the adsorption process of Herelleviridae Vp4 and Deep-Blue myophages preying on B. cereus hosts, highlighting the importance of polysaccharide moieties in this process and confirming the binding to the host surface of Deep-Blue Gp185 and Vp4 Gp112 receptor-binding proteins and Gp119 baseplate wedge.

Pan-beta-coronavirus subunit vaccine prevents SARS-CoV-2 Omicron, SARS-CoV, and MERS-CoV challenge.

Three highly pathogenic coronaviruses (CoVs), SARS-CoV-2, SARS-CoV, and MERS-CoV, belonging to the genus beta-CoV, have caused outbreaks or pandemics. SARS-CoV-2 has evolved into many variants with increased resistance to the current vaccines. Spike (S) protein and its receptor-binding domain (RBD) fragment of these CoVs are important vaccine targets; however, the RBD of the SARS-CoV-2 Omicron variant is highly mutated, rending neutralizing antibodies elicited by ancestral-based vaccines targeting this region ineffective, emphasizing the need for effective vaccines with broad-spectrum efficacy against SARS-CoV-2 variants and other CoVs with pandemic potential. This study describes a pan-beta-CoV subunit vaccine, Om-S-MERS-RBD, by fusing the conserved and highly potent RBD of MERS-CoV into an RBD-truncated SARS-CoV-2 Omicron S protein, and evaluates its neutralizing immunogenicity and protective efficacy in mouse models. Om-S-MERS-RBD formed a conformational structure, maintained effective functionality and antigenicity, and bind efficiently to MERS-CoV receptor, human dipeptidyl peptidase 4, and MERS-CoV RBD or SARS-CoV-2 S-specific antibodies. Immunization of mice with Om-S-MERS-RBD and adjuvants (Alum plus monophosphoryl lipid A) induced broadly neutralizing antibodies against pseudotyped MERS-CoV, SARS-CoV, and SARS-CoV-2 original strain, as well as T-cell responses specific to RBD-truncated Omicron S protein. Moreover, the neutralizing activity against SARS-CoV-2 Omicron subvariants was effectively improved after priming with an Omicron-S-RBD protein. Adjuvanted Om-S-MERS-RBD protein protected mice against challenge with SARS-CoV-2 Omicron variant, MERS-CoV, and SARS-CoV, significantly reducing viral titers in the lungs. Overall, these findings indicated that Om-S-MERS-RBD protein could develop as an effective universal subunit vaccine to prevent infections with MERS-CoV, SARS-CoV, SARS-CoV-2, and its variants. IMPORTANCE: Coronaviruses (CoVs), SARS-CoV-2, SARS-CoV, and MERS-CoV, the respective causative agents of coronavirus disease 2019, SARS, and MERS, continually threaten human health. The spike (S) protein and its receptor-binding domain (RBD) fragment of these CoVs are critical vaccine targets. Nevertheless, the highly mutated RBD of SARS-CoV-2 variants, especially Omicron, significantly reduces the efficacy of current vaccines against SARS-CoV-2 variants. Here a protein-based pan-beta-CoV subunit vaccine is designed by fusing the potent and conserved RBD of MERS-CoV into an RBD-truncated Omicron S protein. The resulting vaccine maintained effective functionality and antigenicity, induced broadly neutralizing antibodies against all of these highly pathogenic human CoVs, and elicited Omicron S-specific cellular immune responses, protecting immunized mice from SARS-CoV-2 Omicron, SARS-CoV, and MERS-CoV infections. Taken together, this study rationally designed a pan-beta-CoV subunit vaccine with broad-spectrum efficacy, which has the potential for development as an effective universal vaccine against SARS-CoV-2 variants and other CoVs with pandemic potential.

Effect of chitooligosaccharide on the binding domain of the SARS-COV-2 receptor.

The receptor-binding domain (RBD) is crucial for understanding how severe acute respiratory syndrome coronavirus (SARS-CoV-2) recognizes and infects host cells. Chitooligosaccharide (CS) exhibits diverse antiviral activities, with its derivatives showing remarkable efficacy in blocking SARS-CoV-2 infection. Thus, this study employed spectroscopy, virus-infected cell experiments, and molecular simulation to investigate the molecular interactions between CS and SARS-CoV-2 RBD, as well as their mechanisms. In spectroscopic experiments, all four CS variants with different molecular weights formed interactions with the RBD. These variants increased the resistance of HEK293ACE2 cells to SARS-CoV-2 invasion. Molecular docking revealed that the four CS variants could bind to the RBD through hydrogen bonding or salt-bridge interactions, forming stable complexes. Chitotetraose provided stronger protection to HEK293ACE2 cells compared to other CS variants and displayed higher molecular docking scores. Further investigation into the optimal docking conformation of chitotetraose was conducted through molecular dynamics simulation methods. This study lays a solid theoretical foundation and provides a scientific basis for the development of targeted RBD inhibitors, as well as drug screening and application against novel coronaviruses.

Targeted phage hunting to specific Klebsiella pneumoniae clinical isolates is an efficient antibiotic resistance and infection control strategy.

Klebsiella pneumoniae is one of the most threatening multi-drug-resistant pathogens today, with phage therapy being a promising alternative for personalized treatments. However, the intrinsic capsule diversity in Klebsiella spp. poses a substantial barrier to the phage host range, complicating the development of broad-spectrum phage-based treatments. Here, we have isolated and genomically characterized phages capable of infecting each of the acquired 77 reference serotypes of Klebsiella spp., including capsular types widespread among high-risk K. pneumoniae clones causing nosocomial infections. We demonstrated the possibility of isolating phages for all capsular types in the collection, revealing high capsular specificity among taxonomically related phages, in contrast to a few phages that exhibited broad-spectrum infection capabilities. To decipher the determinants of the specificity of these phages, we focused on their receptor-binding proteins, with particular attention to depolymerases. We also explored the possibility of designing a broad-spectrum phage cocktail based on phages isolated in reference capsular-type strains and determining the ability to lyse relevant clinical isolates. A combination of 12 phages capable of infecting 55% of the reference Klebsiella spp. serotypes was tested on a panel of carbapenem-resistant K. pneumoniae clinical isolates. Thirty-one percent of isolates were susceptible to the phage cocktail. However, our results suggest that in a highly variable encapsulated bacterial host, phage hunting must be directed to the specific Klebsiella isolates. This work is a step forward in the understanding of the complexity of phage-host interactions and highlights the importance of implementing precise and phage-specific strategies to treat K. pneumoniae infections worldwide.IMPORTANCEThe emergence of resistant bacteria is a serious global health problem. In the absence of effective treatments, phages are a personalized and effective therapeutic alternative. However, little is still known about phage-host interactions, which are key to implementing effective strategies. Here, we focus on the study of Klebsiella pneumoniae, a highly pathogenic encapsulated bacterium. The complexity and variability of the capsule, where in most cases phage receptors are found, make it difficult for phage-based treatments. Here, we isolated a large collection of Klebsiella phages against all the reference strains and in a cohort of clinical isolates. Our results suggest that clinical isolates represent a challenge, especially high-risk clones. Thus, we propose targeted phage hunting as an effective strategy to implement phage-derived therapies. Our results are a step forward for new phage-based strategies to control K. pneumoniae infections, highlighting the importance of understanding phage-host interactions to design personalized treatments against Klebsiella spp.

NRBP1 promotes malignant phenotypes of glioblastoma by regulating PI3K/Akt activation.

OBJECTIVES: Glioblastoma (GBM) is the most aggressive of intracranial gliomas. Despite the maximal treatment intervention, the median survival rate is still about 14-16 months. Nuclear receptor-binding protein 1 (NRBP1) has a potential growth-promoting role on biology function of cells. In this study, we investigated whether NRBP1 promotes GBM malignant phenotypes and the potential mechanisms. METHODS: The correlation between NRBP1 and glioma grade, prognosis in TCGA/CGGA databases and our clinical data were analyzed. Next, we conducted knockout and overexpression of NRBP1 on GBM cells to verify that NRBP1 promoted cell proliferation, invasion, and migration in vitro and in vivo. Finally, we detected the impact of NRBP1 on PI3K/Akt signaling pathway and EMT. RESULTS: There was a correlation between elevated NRBP1 expression and advanced stage glioma, as well as decreased overall and disease-free survival. The suppression of proliferation, invasion, and migration of tumor cells was observed upon NRBP1 knockout, and in vitro studies also demonstrated the induction of apoptotic cell death. Whereas, its overexpression is associated with high multiplication rate, migration, invasion, and apoptotic escape. GO enrichment and KEGG analysis revealed that NRBP1 regulated differentially expressed gene clusters are involved in PI3K/Akt signaling pathway, as well as EMT mediated by this pathway. Moreover, the effects of NRBP1 knockdown and overexpression on GBM were mitigated by MK-2206 and SC79, both of which respectively function as an inhibitor and an activator of the PI3K/Akt signaling pathway. Similarly, the suppression of NRBP1 led to a decrease in tumor growth, whereas its overexpression promoted tumor growth in a mouse model. CONCLUSIONS: This study shows that NRBP1 promotes malignant phenotypes in GBM by activating PI3K/Akt pathway. Hence, it can function as both a predictive indicator and a new target for therapies in GBM treatment.

Targeting host inducible-heat shock protein 70 with PES-Cl is a promising antiviral strategy against SARS-CoV-2 infection and pathogenesis.

One of the fundamental mechanisms developed by the host to contain the highly infectious and rapidly proliferating SARS-coronavirus is elevation of body temperature, a natural fallout of which is heat shock proteins over-expression. Here, for the first time, we demonstrate that the SARS-CoV-2 exploits the host Heat shock protein 70 (Hsp70) chaperone for its entry and propagation, and blocking it can combat the infection. SARS-CoV-2 infection as well as febrile temperature enhanced Hsp70 expression in host Vero E6 cells. Furthermore, heat shock or viral infection elevated the host cell autophagic response which is a prerequisite for viral propagation. In addition, Hsp70 protein demonstrated strong interaction with host Angiotensin-converting enzyme 2 (ACE2) as well as the receptor binding domain (RBD) of the SARS-CoV-2 Spike protein, indicating that interaction of Hsp70 with ACE2 and Spike protein may serve to protect them during febrile conditions. Suppressive and prophylactic treatment of Vero E6 cells with Hsp70 inhibitor PES, 2-(3-chlorophenyl) ethynesulfonamide (PES-Cl), abrogated viral infection more potently than the currently used drug Remdesivir. In conclusion, our study not only provides a fundamental insight into the role of host Hsp70 in SARS-CoV-2 pathogenesis, it paves the way for development of potent and irresistible anti-viral therapeutics.

Maternal Immunization with Adjuvanted Recombinant Receptor-Binding Domain Protein Provides Immune Protection against SARS-CoV-2 in Infant Monkeys.

Maternal vaccinations administered prior to conception or during pregnancy enhance the immune protection of newborn infants against many pathogens. A feasibility experiment was conducted to determine if monkeys can be used to model the placental transfer of maternal antibody against SARS-CoV-2. Six adult rhesus monkeys were immunized with adjuvanted recombinant-protein antigens comprised of receptor-binding domain human IgG1-Fc fusion proteins (RBD-Fc) containing protein sequences from the ancestral-Wuhan or Gamma variants. The female monkeys mounted robust and sustained anti-SARS-CoV-2 antibody responses. Blood samples collected from their infants after delivery verified prenatal transfer of high levels of spike-specific IgG, which were positively correlated with maternal IgG titers at term. In addition, an in vitro test of ACE2 neutralization indicated that the infants' IgG demonstrated antigen specificity, reflecting prior maternal immunization with either Wuhan or Gamma-variant antigens. All sera showed stronger ACE2-RBD binding inhibition when variants in the assay more closely resembled the vaccine RBD sequence than with more distantly related variants (i.e., Delta and Omicron). Monkeys are a valuable animal model for evaluating new vaccines that can promote maternal and infant health. Further, the findings highlight the enduring nature and safety of the immune protection elicited by an adjuvanted recombinant RBD-Fc vaccine.

Clinical and genetic characteristics of a child with Sotos syndrome and attention-deficit/hyperactivity disorder: A case report.

BACKGROUND: Sotos syndrome is an autosomal dominant disorder, whereas attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition. This report aimed to summarize the clinical and genetic features of a pediatric case of Soros syndrome and ADHD in a child exhibiting precocious puberty. CASE SUMMARY: The patient presented with accelerated growth and advanced skeletal maturation; however, she lacked any distinct facial characteristics related to specific genetic disorders. Genetic analyses revealed a paternally inherited heterozygous synonymous mutation [c.4605C>T (p.Arg1535Arg)]. Functional analyses suggested that this mutation may disrupt splicing, and bioinformatics analyses predicted that this mutation was likely pathogenic. After an initial diagnosis of Sotos syndrome, the patient was diagnosed with ADHD during the follow-up period at the age of 8 years and 7 months. CONCLUSION: The potential for comorbid ADHD in Sotos syndrome patients should be considered to avoid the risk of a missed diagnosis.