Biology subjects

Chu, H.

Publications and source records attributed to Chu, H..

At least 19 recordsLinked to original sources

bioRxiv2026

Targeting catecholate siderophore systems enables precision depletion of gut enterobacteria during colitis

Adherent-invasive Escherichia coli (AIEC) is frequently isolated from the dysbiotic gut microbiome in inflammatory bowel disease and is implicated in disease progression, highlighting its potential as a therapeutic target. Here we show that iron acquisition is essential for AIEC colonization of the inflamed gut. Mechanistically, four catecholate siderophore receptors act redundantly to support AIEC growth under iron-limited conditions and during colitis. Immunization of colitis-prone Il10-/- mice against catecholate siderophores reduced intestinal AIEC colonization, particularly its association with the mucosa, while largely preserving overall gut microbiome composition. Longitudinal metagenomic profiling identified immunization-associated shifts in Akkermansiaceae and Lactobacillaceae, and experiments in gnotobiotic Il10-/- mice demonstrated that Limosilactobacillus reuteri, a member of the Lactobacillaceae, limited AIEC colonization, whereas Akkermansiaceae exacerbated disease. Our findings establish catecholate siderophore-mediated iron acquisition as a therapeutic target in AIEC and provide proof-of-principle that virulence-targeted immunization can selectively antagonize a disease-associated bacterium while preserving the gut microbiota

microbiology↗

bioRxiv2026

The HBV basal core promoter mutation confers a replicative advantage and transcriptionally reprograms hepatocytes toward HCC subtypes

Background: Hepatitis B virus (HBV) basal core promoter (BCP) and precore (PC) mutations occur during chronic HBV infection with the BCP-mutant being associated with increased hepatocellular carcinoma (HCC) risk. Objectives: The effects of these mutants on viral replication, hepatocyte biology, and carcinogenesis remain poorly defined. To address this, we characterized BCP- and PC-mutants using human hepatocyte chimeric mice and asked whether the resulting infection-induced transcriptomes correspond to subsets of human HBV-related hepatocellular carcinomas (HBV-HCCs). Design: Isogenic wild-type (WT), BCP- and PC-mutants of HBV genotypes A, C, and D (HBV-A, -C, -D) were generated from recombinant covalently-closed circular DNA to infect chimeric mice. HBV-HCC transcriptomic datasets from The Cancer Genome Atlas (TCGA) were used to stratify association of HBV variants with HCC subtypes. Results: WT, BCP-mutant, and PC-mutant HBV sequences remained genetically stable. The BCP mutation, but not the PC mutation, accelerated the rise in serum viremia in HBV-D- and HBV-A-infected chimeras; in HBV-C, acceleration required both (PC+BCP) mutations. Further comparisons of HBV-D variants revealed that the BCP-mutant increased intrahepatic viral DNA, viral protein expression, and upregulated cancer-related pathways, including transcripts associated with a subset of HBV-HCCs. Analysis of HBV-HCC samples from the TCGA revealed that tumors often harbor a mixture of WT and mutant transcripts, and that WT- and BCP-mutant-associated HCCs exhibit distinct transcriptional profiles. Conclusions: The HBV BCP-mutant directly perturbs hepatocyte homeostasis via virus-intrinsic mechanisms, selectively activating cancer-related pathways and defining a molecularly distinct subset of HBV-HCC. These findings suggest that HBV variants form distinct subcategories of HBV-HCCs.

molecular biology↗

bioRxiv2026

Brain organoid computing for robotic decision-making

Biomimicry has inspired the evolution of robotics toward greater autonomy, adaptability, and symbiosis with humans and dynamic environments. However, current robotic systems still face major challenges in recapitulating the high-efficiency decision-making capabilities of the human brain under complex and dynamic conditions. Here, we present Brainobot, a biohybrid robotic system that establishes a brain organoid controller as a high-level robotic decision-making layer for closed-loop embodiment. By leveraging brain organoid reservoir computing, Brainobot interacts with dynamic environments by receiving and processing sensory inputs and generating motor actions. As a proof-of-concept demonstration, Brainobot is implemented in a humanoid robotic system to perform real-world tasks, including object grasping and laser chasing. Interestingly, Brainobot exhibits unique features, including cross-task adaptivity, high computing efficiency, and low energy consumption. Thus, our approach may provide insights for advancing robotic embodiment and understanding biological decision-making.

bioengineering↗

bioRxiv2026

EBV Reprograms B Cells in an Autoimmune-Like Fashion in Patients with COVID-19

Epstein-Barr virus (EBV) reprograms B cells in autoimmune disease. Reprogrammed EBV+ B cells activate nearby B and CD4+ T cells, via upregulated antigen presentation and costimulatory machinery, to drive autoimmune pathology. EBV reactivation is a known correlate of long COVID, which is a heterogeneous condition that can bear similarities to autoimmune disease. However, the mechanisms underpinning this association remain unresolved. We report on EBV metabolically reprogrammed B cells in patients with COVID-19. We find EBV+ B cells provide stimulatory signals to bystander B and CD4+ T cells. SARS-CoV-2 infected participants exhibiting elevated fractions of EBV+ B cells present, at convalescence, with dysregulated lipid profiles, increased autoantibody titers, and post-acute symptomology likely reflective of this metabolic reprogramming and cell-cell interactions. Enrichment of our EBV+ B cell signatures seen in patients with COVID-19 is similar in patients with lupus and multiple sclerosis suggesting a potentially shared pathway of EBV-driven dysfunction across diseases.

immunology↗

bioRxiv2026

Non-Invasive Embryo Quality Assessment via Matrix-Optimized Untargeted LC-MS Metabolomics of Spent Embryo Culture Media and Weighted Ensemble Machine Learning

BackgroundNon-invasive embryo quality assessment is a critical unmet need in assisted reproductive technology (ART). Preimplantation genetic testing for aneuploidy (PGT-A) is effective but requires invasive biopsy that may compromise embryo viability. Metabolomics of spent embryo culture media (SECM) offers a non-invasive alternative, yet analytical challenges--limited sample volume, high salt content, and abundant proteins--have hindered standardization and clinical translation. ResultsWe systematically optimized sample preparation for untargeted LC-MS metabolomics of SECM using human serum as a reference. Optimal conditions were highly matrix-dependent: SECM required 7x volume of 50% acetonitrile for extraction and 40% acetonitrile for reconstitution, whereas serum required 10x volume of 100% methanol and 100% water--reflecting that SECM contains more non-polar species than serum. Applying the optimized workflow to 120 clinical SECM samples (72 euploid, 48 aneuploid), we identified 102 differential metabolites between euploid and aneuploid embryos, with prominent enrichment of lipid pathways (fatty acid metabolism, {beta}-oxidation, sphingolipid metabolism) and involvement of amino acid (methionine, tryptophan) and TCA cycle metabolism. A weighted ensemble machine learning model discriminated aneuploid from euploid embryos with an AUC of 0.977, 100.0% specificity, and 89.6% sensitivity. Among 72 euploid embryos stratified by morphological grading (good, fair, poor), metabolic alterations progressed from mitochondrial energy deficiency (good vs. fair) to broader lipid dysregulation (fair vs. poor), with the ensemble model achieving AUCs of 0.944, 0.889, and 0.943, respectively. ConclusionsThis study establishes a rigorously optimized and validated SECM metabolomics workflow that overcomes key analytical barriers in this challenging matrix. Our findings demonstrate that metabolic signatures--particularly in lipid and energy metabolism--are strongly associated with both embryo ploidy and morphological quality, providing biological insights into the metabolic underpinnings of embryo developmental competence. The high predictive performance of the ensemble model supports the feasibility of non-invasive embryo assessment as a complementary tool to existing methods, with potential to reduce reliance on invasive biopsy in ART. External validation in prospective multi-center cohorts is warranted to further assess clinical utility and generalizability. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/741666v1_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@10fbe40org.highwire.dtl.DTLVardef@936273org.highwire.dtl.DTLVardef@246e5dorg.highwire.dtl.DTLVardef@1c9d115_HPS_FORMAT_FIGEXP M_FIG C_FIG

genetics↗

bioRxiv2026

A spatiotemporal immune atlas of subarachnoid hemorrhage from single-cell and spatial transcriptomics

Background and PurposeSubarachnoid hemorrhage (SAH) triggers a complex immune response that critically influences early brain injury (EBI) and long-term outcomes. However, the precise spatiotemporal dynamics and heterogeneity of immune cell infiltration and microglial reprogramming remain poorly understood. We aimed to construct a high-resolution immune atlas to delineate cell states, lineage trajectories, and spatial niches following SAH. MethodsWe integrated single-cell RNA sequencing (scRNA-seq) of CD45+ immune cells with spatial transcriptomics (ST) in a murine endovascular perforation SAH model. Immune landscapes were profiled at 24 hours (acute phase) and 72 hours (subacute phase) post-injury, compared with sham controls. Advanced bioinformatics integrated transcriptional signatures with spatial localization to map macrophage, neutrophil, and microglial dynamics. ResultsOur atlas reveals a coordinated immune transition from acute inflammation to reparative processing. We identified five macrophage, four neutrophil, and eight microglial subsets with distinct spatiotemporal patterns. Notably, we discovered a SAH-specific inflammatory microglial population (MG_03; Spp1+/Lpl+) that clusters at the rupture site during the acute phase. This subset is transcriptionally distinct from disease-associated microglia (DAM) in other neurodegenerative conditions. Trajectory analysis suggests MG_03 acts as a signaling hub for immune recruitment before transitioning toward proliferative and reparative states (MG_06-08) that disperse into the parenchyma by 72 hours. ConclusionsThis study provides the first comprehensive spatiotemporal immune atlas of SAH, highlighting the distinct role of the Spp1+ MG_03 subpopulation in early injury sensing. These findings offer a roadmap for identifying precise therapeutic windows and targeting specific immune subsets to mitigate EBI. Graphical AbstractExperimental workflow for single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) in a mouse SAH model induced by endovascular perforation. Brain tissue from the ipsilateral (injured) hemisphere was collected from sham and at 24 h and 72 h post-SAH. For scRNA-seq, CD45 immune cells were isolated prior to library preparation. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=124 SRC="FIGDIR/small/703421v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@4a1bc9org.highwire.dtl.DTLVardef@16664c4org.highwire.dtl.DTLVardef@1619725org.highwire.dtl.DTLVardef@a0d34_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2026

Looking backward for the future: long-term population recovery, habitat associations, and future climatic vulnerability of the critically endangered Sino-Mongolian beaver (Castor fiber birulai) in China

Despite the successful population recovery of the Eurasian beaver (Castor fiber) across much of Eurasia, its subspecies, the Sino-Mongolian beaver (C. f. birulai), remains critically endangered, with an estimated population of approximately 1,500 individuals confined to a small number of isolated and fragmented refugia along the China-Mongolia border. Effective conservation of this highly threatened subspecies requires a holistic perspective that integrates constraints on population dynamics, habitat associations, and future climatic vulnerability. Here, we combined systematic annual field surveys conducted between 2003 and 2023 with historical survey records from 1975 to 1989 in northern Xinjiang, China, to synthesize long-term spatiotemporal population dynamics, evaluate habitat preferences based on nine local environmental variables, and assess future climatic vulnerability using ensemble species distribution models (SDMs) under projected climate change scenarios. We detected a significant and phased population recovery, with beaver colony numbers increasing from 27 (approximately 100 individuals) in 1975 to 227 (681-908 individuals) in 2023. This recovery closely corresponded with major conservation milestones, including the establishment and upgrading of nature reserves, strengthened legislative protection, and enhanced multi-stakeholder collaboration. Habitat analyses further indicated that the Sino-Mongolian beaver preferentially occupied areas characterized by minimal anthropogenic disturbance and stable hydro-geomorphic conditions. Critically, SDM projections revealed that only 14% of the current study area presently exhibits high climatic suitability, and these highly suitable habitats are expected to disappear entirely by the 2050s. Together, our findings provide a comprehensive overview of the historical population recovery and conservation trajectory of the Sino-Mongolian beaver in China, and offer robust scientific support for developing adaptive management strategies in the face of ongoing climate change and increasing human pressures.

ecology↗

bioRxiv2025

Sequence and structural determinants of efficacious de novo chimeric antigen receptors

Advances in generative protein design using artificial intelligence (AI) have enabled the rapid development of binders against heterogeneous targets, including tumor-associated antigens. Despite extensive biochemical characterization, these novel protein binders have had limited evaluation as agents in candidate therapeutics, including chimeric antigen receptor (CAR) T cells. Here, we synthesize generative protein design workflows to screen 1,589 novel protein binders targeting BCMA, CD19, and CD22 for efficacy in scalable protein-binding and T cell assays. We identify three main challenges that hinder the utility of de novo protein binders as CARs, including tonic signaling, occluded epitope engagement, and off-target activity. We develop computational and experimental heuristics to overcome these limitations, including screens of sequence variants for individual parental structures, that restore on-target CAR activation while mitigating liabilities. Together, our framework accelerates the development of AI-designed proteins for future preclinical therapeutic screening, helping enable a new generation of cellular therapies.

bioengineering↗

bioRxiv2025

S100A8/A9 Inhibition Reduces Splenic Myelopoiesis and Improves Outcomes After Stroke

BackgroundNeutrophils are among the earliest immune cells to infiltrate the ischemic brain and contribute to secondary neuronal damage. The alarmin S100 calcium-binding protein A8/A9 (S100A8/A9), predominantly released by neutrophils, is upregulated during this process. Although the bone marrow is recognised as the principal site of neutrophil production via myelopoiesis, the role of the spleen as an immune-responsive organ remains incompletely understood. MethodsIn this study, we employed a transient middle cerebral artery occlusion (MCAO) model in male C57Bl/6 mice and examined immune responses 24 hours post-stroke in the blood, bone marrow and spleen using flow cytometry. To understand the role of S100A8/A9 in modulating stroke-induced myelopoiesis, we administered a small molecule inhibitor of S100A8/A9, ABR-215757, before and after stroke. ResultsNeutrophils and S100A8/A9 were found in the infarcted brain tissue. Interestingly, we observed a marked increase in splenic neutrophils, accompanied by an expansion of myeloid progenitors, indicating activation of extramedullary myelopoiesis. Given our previous work showing that S100A8/A9 promotes myelopoiesis, we pharmacologically inhibited S100A8/A9 to determine if this would modulate stroke-induced myelopoiesis. Treatment with ABR-215757 at 24 hours post-stroke led to reduced splenic myelopoiesis, reversed neutrophilia, enhanced forelimb grip strength, and a one-third reduction in infarct size. ConclusionThese findings identify the spleen as a key contributor to neutrophil production following stroke and suggest that targeting S100A8/A9 may attenuate post-stroke inflammation and improve neurological recovery. HighlightsO_LIStroke induces extramedullary myelopoiesis in the spleen, not femoral bone marrow. C_LIO_LINeutrophil-derived S100A8/A9 drives splenic myelopoiesis after ischemic stroke. C_LIO_LIPharmacological blockade of S100A8/A9 with ABR-215757 reduces neutrophilia. C_LIO_LIInhibition of S100A8/A9 lessens infarct size and improves neurological recovery. C_LIO_LIHuman stroke tissue confirms S100A8/A9 accumulation with neutrophil infiltration. C_LI

neuroscience↗

bioRxiv2025

Two Cytochrome P450 epoxidases mediate juvenile hormone biosynthesis in Drosophila melanogaster

Juvenile hormones (JHs) mediate various biological processes such as development and reproduction in insects. Although pleiotropic functions of JHs are well investigated in the fruit fly Drosophila melanogaster, their biosynthetic mechanisms are less well understood, partly because many JH biosynthetic enzymes still remain unidentified in this important model species. Here we report that two cytochrome P450 (CYP) epoxidases mediate JH biosynthesis in D. melanogaster. In addition to previously reported Cyp6g2, a second epoxidase, Cyp6a13, also functions in the corpus allatum, the major JH biosynthetic endocrine gland. Combined mutations of the genes encoding these enzymes cause developmental and reproductive defects, which can be rescued by JH application. JH biosynthetic functions of these genes were further confirmed by using a heterologous expression system and ex vivo tissue culture. Collectively, our results indicate that these two CYP epoxidases function cooperatively to mediate JH biosynthesis in D. melanogaster. HighlightsO_LIDrosophila Cyp6g2 and Cyp6a13 are highly expressed in the corpus allatum. C_LIO_LICombined knockout mutants of the CYP genes exhibit developmental and reproductive defects. C_LIO_LIMutant phenotypes were rescued by feeding juvenile hormones. C_LIO_LIBoth Cyp6g2 and Cyp6a13 catalyze epoxidation of juvenile hormone precursors. C_LI

developmental biology↗

bioRxiv2025

Commensal Escherichia coli colonization triggers Peyer's patch development

The gut microbiota plays a pivotal role in shaping mucosal immunity, yet the specific microbes contributing to lymphoid tissue development remain poorly defined. Here, we identify Escherichia coli, a pioneer commensal bacterium, as a key driver of naive B cell accumulation in gut Peyers patches and lamina propria via a CXCR2-dependent mechanism. We show that E. coli promotes B cell recruitment through the production of curli amyloid fibers, which signal via Toll-like receptor 2 (TLR2). Notably, this effect extends beyond the neonatal period, revealing a broader temporal window for microbial modulation of mucosal immune development. These findings reveal a previously unrecognized role for a defined gut commensal bacterium and its molecular products in orchestrating the formation of gut-associated lymphoid tissue and B cell recruitment.

microbiology↗

bioRxiv2025

Re-infection with SARS-CoV-2 is associated with increased antibody breadth and potency against diverse sarbecovirus strains

The ease with which emerging SARS-CoV-2 variants escape neutralizing antibodies limits protection afforded by a prior exposure, be it infection or vaccination. While rare, broadly neutralizing antibodies with activity towards diverse sarbecoviruses have been detected in convalescent serum. Motivated by findings that plasma responses show increased neutralization breadth and potency with continued antigen exposure, we isolated monoclonal antibodies (mAbs) after a SARS-CoV-2 re-infection and compared them to those isolated one year prior, after the first breakthrough infection. Among clonal lineage members identified at both time points, mAbs from the later time point showed improved neutralization potency and breadth. One mAb isolated after re-infection, C68.490, targets a conserved region in the receptor binding domain core and shows remarkable activity not only against SARS-CoV-2 variants, but also diverse sarbecoviruses from more distant clades present in animal reservoirs. These findings suggest that a focus on individuals with diverse and repeated antigen exposure could lead to identification of antibodies with therapeutic utility not just towards current and future SARS-CoV-2 variants, but also distant sarbecoviruses in the event of a future spillover.

immunology↗

bioRxiv2025

APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence

Elucidating the relationships between a class I peptide antigen, a CD8 T cell receptor (TCR) specific to that antigen, and the T cell phenotype that emerges following antigen stimulation, remains a mostly unsolved problem, largely due to the lack of large data sets that can be mined to resolve such relationships. Here, we describe Antigen-TCR Pairing and Multiomic Analysis of T-cells (APMAT), an integrated experimental-computational framework designed for the high-throughput capture and analysis of CD8 T cells, with paired antigen, TCR sequence, and single-cell transcriptome. Starting with 951 putative antigens representing a comprehensive survey of the SARS-CoV-2 viral proteome, we utilize APMAT for the capture and single cell analysis of CD8 T cells from 62 HLA A*02:01 COVID-19 participants. We leverage this unique, comprehensive dataset to integrate with peptide antigen properties, TCR CDR3 sequences, and T cell phenotypes to show that distinct physicochemical features of the antigen-TCR pairs strongly associate with both T cell phenotype and T cell persistence. This analysis suggests that CD8+ T cell phenotype following antigen stimulation is at least partially deterministic, rather than the result of stochastic biological properties.

immunology↗

bioRxiv2024

Identification and characterization of ugpE required for the full virulence of Streptococcus suis

Streptococcus suis (S. suis) is an emerging zoonotic pathogen that threatens both animal and human health worldwide. UgpE is a protein subunit of the Ugp (uptake of glycerol phosphate) transporter system that is involved in glycerophospholipid synthesis in bacterial membranes. In this study, an ugpE deletion mutant was constructed and the effects of ugpE deletion on cell morphology, biofilm formation, and virulence were investigated. Deletion of ugpE did not affect bacterial growth but impaired cell chain formation and capsular synthesis by downregulating the mRNA levels of the capsular regulon genes cps-2B, cps-2C, and cps-2S. Deletion of ugpE also led to decreased tolerance to heat, oxidative, and acid-base stress. Crystal violet staining and scanning electron microscopy demonstrated ugpE negatively regulated biofilm formation in liquid culture and the rdar biofilm morphotype on agar plates. Moreover, ugpE deletion not only reduced hemolysin activity, survival in whole human blood, and anti-phagocytosis ability against porcine alveolar macrophages (PAM) but also enhanced bacterial adhesion and invasion of human cerebral microvascular endothelial cells (hCMEC/D3) by upregulating the expression of multiple genes associated with cell adhesion. In a mouse infection model, ugpE deletion significantly attenuated virulence and lowered the number of viable bacteria in the blood and major organs, as well as distribution of macrophages. In conclusion, this study identified UgpE as a novel virulence factor that plays a pivotal role in the regulation of virulence and biofilm formation of S. suis.

microbiology↗

bioRxiv2024

SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences

Large language models (LLMs) have made substantial strides, but their use in reliably tackling issues within specialized domains, particularly in interdisciplinary areas like pharmaceutical sciences, is hindered by data heterogeneity, knowledge complexity, unique objectives, and a spectrum of constraint conditions. In this area, diverse modalities such as nucleic acids, proteins, molecular structures, and natural language are often involved. We designed a specialized token set and introduced a new Mixture-of-Experts (MoEs) pre-training and fine-tuning strategy to unify these modalities in one model. With this strategy, weve created a multi-modal mixture-of-experts foundational model for pharmaceutical sciences, named SciMind. This model has undergone extensive pre-training on publicly accessible datasets including nucleic acid sequences, protein sequences, molecular structure strings, and biomedical texts, and delivers good performance on biomedical text comprehension, promoter prediction, protein function prediction, molecular description, and molecular generation.

bioinformatics↗

bioRxiv2024

Pathogenic Bacteroides fragilis strains can emerge from gut-resident commensals

Bacteroides fragilis is a prominent member of the human gut microbiota, playing crucial roles in maintaining gut homeostasis and host health. Although it primarily functions as a beneficial commensal, B. fragilis can become pathogenic. To determine the genetic basis of its duality, we conducted a comparative genomic analysis of 813 B. fragilis strains, representing both commensal and pathogenic origins. Our findings reveal that pathogenic strains emerge across diverse phylogenetic lineages, due in part to rapid gene exchange and the adaptability of the accessory genome. We identified 16 phylogenetic groups, differentiated by genes associated with capsule composition, interspecies competition, and host interactions. A microbial genome-wide association study identified 44 genes linked to extra-intestinal survival and pathogenicity. These findings reveal how genomic diversity within commensal species can lead to the emergence of pathogenic traits, broadening our understanding of microbial evolution in the gut.

microbiology↗

bioRxiv2024

Potent and broadly neutralizing antibodies against sarbecoviruses elicited by single ancestral SARS-CoV-2 infection

Monoclonal antibody (mAb) therapeutics hold promise for both preventing and treating infectious diseases, especially among vulnerable populations. However, the emergence of various variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents challenges for current mAb treatments, emphasizing the need for more potent and broadly neutralizing antibodies. In this study, we employed an unbiased screening approach to discover broadly neutralizing antibodies and successfully isolated two mAbs from individuals with only exposure to ancestral SARS-CoV-2. One of these antibodies, CYFN1006-1, exhibited robust cross-neutralization against a spectrum of SARS-CoV-2 variants, including the latest JN.1 and KP.2 variants, with consistent IC50 values ranging from [~]1 to 5 ng/mL. Notably, it also displayed broad neutralization activity against SARS-CoV and related sarbecoviruses, such as WIV1, SHC014, RaTG13, and GD-Pangolin. Structural analysis revealed that these mAbs target shared hotspot but mutation-resistant epitopes, with their Fabs locking the RBD in the "down" conformation through interactions with adjacent Fabs and RBDs, and cross-linking Spike trimers into di-trimers to block viral infection. In vivo studies conducted in a JN.1-infected hamster model validated the protective efficacy of CYFN1006-1, emphasizing its therapeutic potential. These findings suggest that, through meticulous approaches, rare antibodies with cross-neutralization activities against SARS-CoV-2 and related sarbecoviruses can be identified from individuals with exclusively ancestral virus exposure.

microbiology↗

bioRxiv2024

Persistent lung inflammation and alveolar-bronchiolization due to Notch signaling dysregulation in SARS-CoV-2 infected hamster

Long COVID or Post-acute sequalae of COVID-19 (PASC) defines the persistent signs, symptoms, and conditions long after initial SARS-CoV-2 infection which affecting over 10% of COVID-19 patients, with 40% of them affecting respiratory system. The lung histopathological changes and underlying mechanism remain elusive. Here we systemically investigate histopathological and transcriptional changes at 7, 14, 42, 84 and 120 days-post-SARS-CoV-2-infection (dpi) in hamster. We demonstrate persistent viral residues, chronic inflammatory and fibrotic changes from 42dpi to 120dpi. The most prominent lung histopathological lesion is multifocal alveolar-bronchiolization observed in every animal from 14dpi until 120dpi. However, none of the above are observed in hamsters recovered from influenza A infection. We show airway progenitor CK14+ basal cells actively proliferate, differentiate into SCGB1A+ club cell or Tubulin+ ciliated cells, leading to alveolar-bronchiolization. Most importantly, Notch pathway is persistently upregulated. Intensive Notch3 and Hes1 protein expression are detected in alveolar-bronchiolization foci, suggesting the association of sustained Notch signaling with dysregulated lung regeneration. Lung spatial transcriptomics show upregulation of genes positively regulating Notch signaling is spatially overlapping with alveolar-bronchiolization region. To be noted, significant upregulation of tumor-related genes was detected in abnormal bronchiolization region by spatial transcriptomics analysis, indicating possible risk of lung carcinoma. Collectively, our data suggests SARS-CoV-2 infection caused chronic inflammatory and fibrotic tissue damages in hamster lung, sustained upregulation of Notch pathway signaling contributed to the dysregulated lung regeneration and CK14+ basal cells-driven alveolar-bronchiolization. The study provides important information for potential therapeutic approaches and probable long-term surveillance of malignancy in PASC management.

microbiology↗