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Kant, R.

Publications and source records attributed to Kant, R..

At least 19 recordsLinked to original sources

A rational design strategy and validation for protease-resistant fusion-inhibitor antiviral peptides

Peptide-based fusion inhibitors are promising pharmaceuticals in the fight against enveloped viruses relying on membrane fusion for host infection. However, peptide therapeutic applications have long been hindered by their poor stability in vivo. Here, we discovered that peptide inhibitors with the wildtype sequence of the heptad repeat 2 (HR2) domain of the SARS-CoV-2 spike protein are efficiently cleaved by Transmembrane Protease, Serine 2 (TMPRSS2), a key protease involved in the SARS-CoV-2 virus-cell fusion pathway. We then identified the corresponding cleavage sites and designed three protease-resistant peptides using ranking based on deep mutational scanning and natural occurrence. The three candidates all exhibit inhibitory activity in a cell-cell fusion assay. A high-resolution cryo-EM structure of the top candidate, HR2-NHN, bound to its HR1 target reveals the molecular basis for its potent activity. The top candidate of the cell-based screening assay significantly improved efficacy relative to the wildtype peptide when administered 12 h before infection in both an authentic virus-cell infection assay and a mouse assay. More broadly, our results suggest that the design strategies for protease-resistant peptides could be applied to a broad spectrum of other enveloped viruses and pave the way for the development of safe, prophylactic antivirals that can be administered before exposure.

microbiology↗

Co-circulating TBEV lineages and evidence for vertical transmission in wild bank voles from Poland

Tick-borne encephalitis virus (TBEV) is a zoonotic flavivirus maintained in complex enzootic cycles involving ticks and vertebrate hosts. While vector-mediated transmission has been extensively studied, host-associated mechanisms, including vertical transmission and prolonged viral carriage in natural reservoir populations, remain poorly understood. Here, we investigated TBEV circulation, genetic diversity, and evidence for vertical transmission in bank voles (Clethrionomys glareolus) from a highly endemic region of North-eastern Poland. A total of 258 wild rodents were screened using molecular and serological approaches. TBEV RNA was detected in 14.3% of individuals, whereas seroprevalence was substantially lower (6.6%), revealing limited concordance between viral presence and humoral response under natural conditions. Near-complete genome sequences were obtained from 10 TBEV-positive individuals, representing the first near-complete TBEV genomes generated from wild rodents in Poland. All isolates belonged to the European subtype (TBEV-Eu), and phylogenetic analysis revealed two genetically distinct viral clades co-circulating within a narrow spatiotemporal window. Importantly, TBEV RNA and/or envelope protein were detected in embryos from naturally infected females, providing evidence consistent with vertical transmission in a wild reservoir host. Together, these findings suggest that vertical transmission and complex host infection dynamics may be underappreciated components of TBEV maintenance in natural reservoir populations. Our results highlight the need to integrate vertebrate host dynamics into models of TBEV ecology and support expanded wildlife-based surveillance to better understand and predict zoonotic risk.

microbiology↗

An mRNA-Lipid Nanoparticle Platform Encoding the Conserved Outer Membrane Protein BamA Elicits Broadly Cross-Reactive Systemic and Mucosal Antibodies Against Antimicrobial-Resistant Neisseria gonorrhoeae

Neisseria gonorrhoeae (Ng) is the causative agent of gonorrhea, and the global spread of antimicrobial-resistant strains makes vaccine development a public health priority. Although messenger RNA (mRNA) vaccines have transformed protection against viral diseases, the platform remains in its infancy against pathogenic bacteria. Here, we evaluated the immunogenicity and protective efficacy of an mRNA-lipid nanoparticle (LNP) vaccine encoding the highly conserved outer membrane antigen BamA in the female mouse model of lower genital tract infection. We delivered BamA mRNA-LNPs via intramuscular (IM) or intranasal (IN) routes, with or without CpG ODN 2395, and measured antigen-specific antibody responses in serum and vaginal lavage samples. Both routes elicited robust BamA-specific antibodies that recognized diverse Ng isolates, including ceftriaxone-resistant strains. However, neither route accelerated bacterial clearance nor reduced bioburden, nor did either generate serum bactericidal activity. These findings show that BamA mRNA-LNPs are immunogenic but, as formulated, are not protective, and they pave the way for modifications to the construct, adjuvant, and route. To our knowledge, this is the first evaluation of an mRNA vaccine against Ng, establishing the platform as an amenable approach for gonococcal antigen testing. ImportanceNeisseria gonorrhoeae is a high-priority public health threat, and no licensed gonococcal vaccine exists. mRNA-lipid nanoparticle vaccines have transformed antiviral immunization but remain largely untested against bacterial pathogens. This study is the first to evaluate an mRNA vaccine against N. gonorrhoeae, using the conserved, essential outer membrane antigen BamA. We show that BamA mRNA-LNPs delivered by intramuscular or intranasal routes elicit robust, broadly cross-reactive antibodies that recognize diverse isolates, including ceftriaxone-resistant strains, even though the tested formulations did not confer protection in mice. By establishing mRNA-LNPs as a viable platform for gonococcal antigen testing, this work lays the foundation for optimizing constructs, adjuvants, and routes for developing mRNA-based vaccines against gonorrhea and other antimicrobial-resistant bacteria.

microbiology↗

InDels in an intronic region of gene Ccsmd04 coding for dormancy/auxin-associated protein controls sterility mosaic disease resistance in pigeonpea

Sterility mosaic disease presents a significant challenge to pigeonpea cultivation in the Indian subcontinent, potentially leading to total crop failure. The development of diagnostic molecular markers for SMD resistance can aid in improving SMD-resistant varieties. In this context, a QTL-seq approach identified genomic regions associated with SMD resistance using a recombinant inbred line generated from ICP8863 x ICPL87119. In total, 6,105 high-confidence variants were identified in the genomic region, namely, smdCc04 based on the delta SNP index. A genomic region smdCc04 on chromosome Cc04 spans 3.2 Mb (9.3 - 12.5 Mb) comprised of 6 missense variants and eight indels. A total of 211 candidate genes were identified from this region. 1 bp insertion, 21 bp insertion, 9 bp deletion, and 3 bp insertion at different intronic positions in 22 susceptible line leads to downregulation of Dormancy/auxin associated protein (Ccsmd04) resulting in loss of signaling in disease resistance pathways. The identified sites recognize four important disease and plant growth related transcription factors. A total of 4 Indels and 8 SNPs were validated from smdCc04 genomic regions using whole genome re-sequencing data and KASP genotyping on resistant and susceptible pigeonpea lines respectively. These markers will be used in pigeonpea breeding programs.

genomics↗

American mink as an animal model to study SARS-CoV-2 and vaccine response

Selecting a suitable animal model is crucial in understanding infectious diseases and developing vaccines. Here, we developed a receptor-binding domain -based SARS-CoV-2 vaccine with mouse Fc an immunopotentiator in a mink model. Four different variations of the vaccine were tested in groups of 30-31 American mink and followed for IgG and neutralizing antibodies (nAb) up to 27 weeks. Subcutaneous version induced a strong IgG and nAb response within two weeks and was still detectable at 27 weeks. Intranasal version also caused a detectable, although weaker, immune response. A simultaneously given subcutaneous vaccine against virus enteritis, botulism and hemorrhagic pneumonia potentially caused a lower SARS-CoV-2 antibody response, highlighting the need for further studies on co-effects of vaccines. In virus challenge with Alpha variant (B.1.1.7), vaccinated mink had a stronger antibody response than unvaccinated mink. Despite not preventing the infection, vaccinated mink had milder clinical signs and less virus in saliva. Another challenge of unvaccinated mink with Omicron variant showed similar results to alpha (BA.1) variant. Virus RNA was detected in the brain of unvaccinated mink but not vaccinated mink by in situ hybridization, indicating a suitability of mink to study neurological effects of SARS-CoV-2 and potentially long COVID as well. Author summaryFinding a good animal model is very important in studying infectious diseases and their treatment. The recent SARS-CoV2 pandemic highlighted this dilemma. We have developed an animal model based on mink due to their close match to humans in the symptomology of this disease. Such model will enable the study of relative susceptibility, transmission, tissue tropism, complex pathogenesis and long COVID, as well as prophylaxis and vaccines. This model will also help reduce the use of primates in this research. We have further developed a new vaccine for SARS-CoV2 based on the receptor binding domain of the S-protein with an inbuilt immune-enhancer. This vaccine underwent extensive testing in mink to determine response, long term protection, and safety. The vaccine was found to provide excellent titers of neutralizing antibodies with wide range in target variants. It also reduced the severity and duration of visible symptoms in the animals significantly. We propose this vaccine candidate for further study and future commercialization.

microbiology↗

Lazypipe3: Customizable Virome Analysis Pipeline Enabling Fast and Sensitive Virus Discovery from NGS data

Metagenomic next-generation sequencing (mNGS) is pivotal for detecting known and novel viruses in diverse samples; however, its efficacy relies on robust bioinformatics pipelines. We present LazypipeX with multiple advanced features, including flexible annotation strategies that can be adjusted to match different datasets and applications. Using a synthetic benchmark, we show that a simple two-round annotation strategy designed for speed and low false positive rate required in virus diagnostics can reduce execution time to a fraction of the BLASTN search without any loss in accuracy. Additionally, using real data, we show that annotation strategies based on combinations of fast-to-accurate homology searches reduce execution time from 5- to 20-fold compared to the BLASTN/BLASTP baseline. Using one of these "annotation chains", we characterized multiple novel complete viral genomes that were missed by the Lazypipe v1/v2 and CZ ID analyses. LazypipeX is a highly efficient and versatile tool for virome analysis, offering customizable and transparent workflows that can facilitate virus discovery and identification in diverse mNGS applications.

bioinformatics↗

Decoding Host-Pathogen Interactions in Staphylococcus aureus: Insights into Allelic Variation and Antimicrobial Resistance Prediction Using Artificial Intelligence and Machine Learning based approaches

This novel study leveraged advanced machine learning techniques to elucidate the molecular mechanisms of antimicrobial resistance (AMR) in 300Staphylococcus aureus isolates across six critical antibiotics. Employing a diverse array of deep learning and ensemble models, we conducted an in-depth analysis of genetic markers and allelic variations to characterize resistance determinants. Our investigation revealed that the XGBoost ensemble model demonstrated the most exceptional performance, achieving a remarkable 95% test accuracy, 100% training accuracy, and an unprecedented ROC AUC of 0.9855. Comparative analysis of multiple machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), Multi-Layer Perceptron (MLP), Decision Tree, and Stochastic Gradient Descent (SGD) models, provided detailed insights into resistance prediction. The SHAP (SHapley Additive exPlanations) analysis unveiled critical genetic markers, with "cat_allele_Cluster_1015_Allele_8" emerging as the most influential feature driving resistance predictions. Notably, the models exhibited varying performance across different antibiotics, with consistently high accuracy and F1-scores for ciprofloxacin, clindamycin, gentamicin, and sulfamethoxazole/trimethoprim. Our findings not only demonstrate the potential of advanced machine learning techniques in predicting antimicrobial resistance but also provide crucial insights into the molecular mechanisms underlying S. aureus drug resistance. By identifying key genetic determinants and their relative importance, this study offers a sophisticated approach to understanding resistance patterns, potentially guiding future diagnostic strategies, targeted therapies, and antimicrobial stewardship practices in clinical settings.

bioinformatics↗

Time-series sewage metagenomics can separate the seasonal, human-derived and environmental microbial communities, holding promise for source-attributed surveillance

Sewage metagenomics has risen to prominence in urban population surveillance of pathogens and antimicrobial resistance (AMR). Unknown species with similarity to known genomes cause database bias in reference-based metagenomics. To improve surveillance, we designed this study to recover sewage genomes and develop a quantification and correlation workflow for these genomes and AMR over time. We used longitudinal sewage sampling in seven treatment plants from five major European cities to explore the utility of catch-all sequencing of these population-level samples. Using metagenomic assembly methods, we recovered 2,332 metagenome-assembled genomes (MAGs) from prokaryotic species, 1,334 of which were previously undescribed. These genomes account for [~]69% of sequenced DNA and provide insight into sewage microbial dynamics. Rotterdam (Netherlands) and Copenhagen (Denmark) showed strong seasonal microbial community shifts, while Bologna, Rome, (Italy) and Budapest (Hungary) had occasional blooms of Pseudomonas-dominated communities, accounting for up to [~]95% of sample DNA. Seasonal shifts and blooms present challenges for effective sewage surveillance. We find that bacteria of known shared origin, like human gut microbiota, form communities, suggesting the potential for source-attributing novel species and their ARGs through network community analysis. This could significantly improve AMR tracking in urban environments.

microbiology↗

Equine dermatitis outbreak associated with parapoxvirus

Parapoxviruses (PPV) cause skin and mucous membrane lesions in several animal species, and of the five recognized PPVs, at least three are zoonotic. Equine PPV (EqPPV) is the sixth one initially described in humans in the United States and later in a severely sick horse in Finland in 2013-2015. In 2021-2022, a large-scale pustulo-vesicular pastern dermatitis outbreak occurred in horses all over Finland. This study aimed at analysing the outbreak, identifying and describing the causative agent, describing clinical signs, and searching for risk factors. EqPPV was identified as a probable causative agent and co-infections with several potentially pathogenic and zoonotic bacteria were observed. Histopathologically, suppurative and ulcerative dermatitis was diagnosed. Due to the lack of specific tests for this virus, we developed a novel diagnostic EqPPV-PCR with sensitivity of 10 copies/reaction. Based on a large proportion of the genome sequenced directly from clinical samples, very little variation was detected between the sequences of the case from 2013 and the cases from 2021-2022. Based on an epidemiological survey, the main risk factor for pastern dermatitis was having racehorses. Approximately one third of the horses at each affected stable got clinical dermatitis, manifesting as severe skin lesions. Skin lesions were also occasionally reported in humans, indicating potential zoonotic transmission. Case stables commonly reported attendance in race events before acquiring the disease. Survey also identified differences in practises between case and control stables. Taken together, these results enable a better preparedness, diagnostics, and guidelines for future outbreaks.

microbiology↗

Complete Protection from SARS-CoV-2 Lung Infection in Mice Through Combined Intranasal Delivery of PIKfyve Kinase and TMPRSS2 Protease Inhibitors

Emerging variants of concern of SARS-CoV-2 can significantly reduce the prophylactic and therapeutic efficacy of vaccines and neutralizing antibodies due to mutations in the viral genome. Targeting cell host factors required for infection provides a complementary strategy to overcome this problem since the host genome is less susceptible to variation during the life span of infection. The enzymatic activities of the endosomal PIKfyve phosphoinositide kinase and the serine protease TMPRSS2 are essential to meditate infection in two complementary viral entry pathways. Simultaneous inhibition in cultured cells of their enzymatic activities with the small molecule inhibitors apilimod dimesylate and nafamostat mesylate synergistically prevent viral entry and infection of native SARS-CoV-2 and vesicular stomatitis virus (VSV)-SARS-CoV-2 chimeras expressing the SARS-CoV-2 surface spike (S) protein and of variants of concern. We now report prophylactic prevention of lung infection in mice intranasally infected with SARS-CoV-2 beta by combined intranasal delivery of very low doses of apilimod dimesylate and nafamostat mesylate, in a formulation that is stable for over 3 months at room temperature. Administration of these drugs up to 6 hours post infection did not inhibit infection of the lungs but substantially reduced death of infected airway epithelial cells. The efficiency and simplicity of formulation of the drug combination suggests its suitability as prophylactic or therapeutic treatment against SARS-CoV-2 infection in households, point of care facilities, and under conditions where refrigeration would not be readily available.

microbiology↗

The infectivity of SARS-CoV-2 progeny virions requires the activity of host cell N-myristoyltransferases and it is severely compromised by their inhibition

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the coronavirus disease 2019 (COVID-19) pandemic, remains a global health concern despite vaccines, neutralizing antibodies, and antiviral drugs. Emerging mutations can reduce the effectiveness of these treatments, suggesting that targeting host cell factors may be a valuable alternative. N-myristoyltransferases (NMT) are essential enzymes for protein N-myristoylation, affecting stability, interaction, localization, and function of numerous proteins. We demonstrate that selective inhibition of host cell NMT decreases SARS-CoV-2 infection by 90% in human lung and primary nasal epithelial cells, and choroid plexus-cortical neuron organoids. NMT inhibition does not affect viral entry, replication or release, but impairs the maturation and incorporation of viral envelope proteins into newly assembled virions, leading to compromised infectivity of released virions. The inhibition of host NMT triggers a Golgi-bypassing pathway for SARS-CoV-2 progeny virion egress, which occurs through endoplasmic reticulum and lysosomal intermediates.

microbiology↗

Enhanced Viral Metagenomics with Lazypipe 2

Viruses are the main agents causing emerging and re-emerging infectious diseases. It is therefore important to screen for and detect them and uncover the evolutionary processes that support their ability to jump species boundaries and establish themselves in new hosts. Metagenomic next-generation sequencing (mNGS) is a high-throughput, impartial technology that has enabled virologists to detect either known or novel, divergent viruses from clinical, animal, wildlife and environmental samples, with little a priori assumptions. mNGS is heavily dependent on bioinformatic analysis, with an emerging demand for integrated bioinformatic workflows. Here, we present Lazypipe2, an updated mNGS pipeline with, as compared to Lazypipe1, significant improvements in code stability, transparency, with added functionality and support for new software components. We also present extensive benchmarking results, including evaluation on a novel canine simulated metagenome, and precision and recall of virus detection at varying sequencing depth and low to extremely low proportion of viral genetic material. Additionally we report accuracy of virus detection with two strategies: homology searches using nucleotide or amino acid sequences. We show that Lazypipe2 with nucleotide-based annotation approaches near perfect detection of eukaryotic viruses and, in terms of accuracy, outperforms the compared pipelines. We also discuss the importance of homology searches with amino acid sequences for the detection of highly divergent novel viruses.

bioinformatics↗

Wild red deer (Cervus elaphus) do not play a role as vectors or reservoirs of SARS-CoV-2 in north-eastern Poland.

Several studies reported a high prevalence of SARS-CoV-2 among white-tailed deer in North America. Monitoring cervids in all regions to better understand SARS-CoV-2 infection and circulation in other deer populations has been urged. To evaluate deer exposure to SARS-CoV-2 in Poland, we sampled 90 reed deer individuals shot by hunters in five hunting districts in northeastern Poland. Serum and nasopharyngeal swabs were collected, and then the Immunofluorescent Assay (IFA) to detect anti-SARS-CoV-2 antibodies was performed as well as real-time PCR with reverse transcription for direct virus detection. No positive samples were detected. There is no evidence of spillover of SARS-CoV-2 from the human to deer population in Poland.

microbiology↗

Nanobody engineering for SARS-CoV-2 neutralization and detection

In response to the ongoing SARS-CoV-2 pandemic, the quest for coronavirus inhibitors has inspired research on a variety of small proteins beyond conventional antibodies, including robust single-domain antibody fragments, nanobodies. Here, we explore the potential of nanobody engineering in the development of antivirals and diagnostic tools. Through fusion of nanobody domains that target distinct binding sites, we engineered multimodular nanobody constructs that neutralize wild-type SARS-CoV-2 and the Alpha and Delta variants with high potency, with IC50 values up to 50 pM. However, we observed a limitation in the efficacy of multimodular nanobodies against the Beta (B.1.351) and Omicron variants (B.1.1.529), underlining the importance of accounting for viral evolution in the design of biologics. To further explore the applications of nanobody engineering in outbreak management, we present a novel detection assay, based on fusions of nanobodies with fragments of NanoLuc luciferase that can detect sub-nanomolar quantities of the SARS-CoV-2 spike protein in a single step. Our work showcases the potential of nanobody engineering to combat emerging infectious disease.

microbiology↗

Serological surveillance for wild rodent infection with SARS-CoV-2 in Europe

We report serological surveillance for exposure to SARS-CoV-2 in 1,237 wild rodents and other small mammals across Europe. All samples were negative with the possible exception of one. Given the ongoing circulation of this virus in humans and potential host jumps, we suggest such surveillance be continued.

microbiology↗

Intranasal inhibitor blocks Omicron and other variants of SARS-CoV-2

The recent emergence of novel SARS-CoV-2 variants capable of efficiently escaping neutralizing antibodies emphasizes the need for prophylactic strategies to complement vaccination in fighting the COVID-19 pandemic. Nasal epithelium is rich in the ACE2 receptor and important for SARS-CoV-2 transmission by supporting early viral replication before seeding to the lung1. Intranasal administration of SARS-CoV-2 neutralizing antibodies or antibody fragments has shown encouraging potential as a protective measure in animal models2-5. However, there remains a dire need for SARS-CoV-2 blocking agents that are less vulnerable to mutational variation in the neutralization epitopes of the viral spike glycoprotein and more economical to produce in large scale. Here we describe TriSb92, a highly manufacturable and extremely stable trimeric human SH3 domain-derived antibody mimetic targeted against a conserved region in the receptor-binding domain of spike. TriSb92 potently neutralizes SARS-CoV-2 and its variants of concern, including Omicron BA.5 as well as the latest and most immunoevasive variants like BF.7, XBB, and BQ.1.1. Intranasal administration of a modest dose of TriSb92 (5 or 50 micrograms) as early as eight hours before a challenge with SARS-CoV-2 efficiently protected mice from infection, and was still effective even when given 4 h after the viral challenge. The target epitope of TriSb92 was defined by cryo-EM, which revealed triggering of a conformational shift in the spike trimer rather than competition for ACE2 binding as the molecular basis of its strong inhibitory action. The high potency and robust biochemical properties of TriSb92 together with the remarkable resistance of its inhibitory action against viral sequence evolution suggest that TriSb92 could be useful as a nasal spray for protecting susceptible individuals from SARS-CoV-2 infection.

microbiology↗