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Kim, B.

Publications and source records attributed to Kim, B..

At least 19 recordsLinked to original sources

Manifolds for the neural representation of 3D spatial experience

The precision with which animals navigate and interact with objects depends in part on how their brains represent position and orientation in three dimensions. A central challenge is to explain within a common framework how neural systems ranging from insects to primates represent three-dimensional (3D) pose. Here we develop a framework based on the hypothesis that neural representations of pose lie on manifolds derived from the Special Euclidean Group, SE(3), which describes the full space of rigid-body positions and orientations in three dimensions. The framework shows how movement constraints, object geometry, and visual features jointly determine the topology of the resulting pose manifold, yielding a taxonomy that guides experimental tests. We apply the framework to derive low-dimensional manifolds for neural representations of 3D object orientation in macaque parietal cortex and head direction in the limbic systems of fruit bats, mice, and monkeys. This analysis also guides the construction of neuronal tuning functions that respect the topology determined by experimental conditions. Together, these results provide a common approach for linking the geometry of 3D pose to neural coding across species and brain systems.

neuroscience↗

Brief Trains of Closed-loop TMS Induce Controllable Power in FM-theta Oscillations

Objective. Frontal-midline theta (FM-theta; 4-8 Hz) oscillations are thought to support cognition. Brief trains of transcranial magnetic stimulation (TMS) can probe these oscillations with high temporal precision but have rarely changed theta power. One possible reason is that prior studies ignored the instantaneous phase of the oscillation, which strongly shapes the cortical response to TMS. We tested whether brief TMS trains triggered at specific FM-theta phases in real time directionally modulate post-train FM-theta power. Approach. Six healthy adults received TMS over dorsomedial prefrontal cortex (Fz) with concurrent electroencephalography during a whole-report working memory task. A beamformer and real-time phase-estimation pipeline triggered four-pulse 6 Hz trains (110% of resting motor threshold) at FM-theta peaks (0 degrees) or troughs (180 degrees), randomized trial by trial. Post-train spectral power was decomposed into total, induced (non-phase-locked) and evoked (phase-locked) components. Main results. Trough-triggered trains transiently increased post-train FM-theta power relative to peak-triggered trains; task performance did not differ. Cluster-based permutation tests showed trough-peak differences in total (4.6-7.1 Hz) and induced (5.0-7.8 Hz) power ~50-440 ms after the train, suggesting amplification of the oscillation . No evoked effect was detected. The total-power effect was robust at the subject level (Cohen's dz = 1.32, p = 0.023). Within-train theta power did not differ between conditions, suggesting a cortical origin. Significance. To our knowledge, this is the first study to lock brief rhythmic TMS trains to the real-time phase of an ongoing oscillation, and to show phase-dependent modulation of FM-theta power after individual trains on timescales relevant to behavior. Open-loop brief-train protocols may have missed such effects by mixing faciliatory and suppressive phases. Phase-locked brief trains offer a precise tool for testing the causal role of oscillations in cognition.

neuroscience↗

Netrin signaling shapes sexually dimorphic neurite branching of a sex-shared interneuron in C. elegans

Sexually dimorphic behaviors arise from underlying differences in neural circuit architecture between the sexes, yet the molecular mechanisms that establish these structural differences remain poorly understood. In Caenorhabditis elegans, the sex-shared interneuron AVG exhibits sexually dimorphic synaptic connectivity, offering a model for investigating the development of sexually dimorphic neuronal morphology. Here, we identified that AVG displays male-specific neurite branching and demonstrated that the conserved axon guidance cue UNC-6/Netrin and its receptor UNC-40/DCC are essential for this structural remodeling. Cell-specific manipulation of sexual identity revealed that male identity confers branching competence to AVG. Loss of UNC-6 or UNC-40 abolished branch formation, whereas loss of the alternate Netrin receptor UNC-5/Unc5 had no detectable effect. Cell-specific rescue experiments showed that UNC-40 functions in AVG through its UNC-6 binding domains. Furthermore, genetic ablation of the male-specific presynaptic neuron PCA, which expresses unc-6, diminished AVG branch length, establishing PCA as a candidate local source of UNC-6. Together, our findings support a model in which presynaptic UNC-6/Netrin cues from male-specific neurons promote dimorphic neurite branching in sex-shared neurons, illustrating how evolutionarily conserved signaling molecules are redeployed during sexual maturation to sculpt sex-specific neural circuits.

neuroscience↗

SEME enables programmable transcript reconstruction through synthetic microexon incorporation

Precise correction of pathogenic mutations remains challenging for therapeutic applications because genome editing within protein-coding exons can generate unintended insertion-deletion byproducts that disrupt coding integrity and protein function. To address this limitation, we developed the Spliceable Editable Microexon Element (SEME), an intron-targeting platform that enables programmable microexon incorporation through endogenous splicing. In induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs), SEME corrected aberrant splicing caused by the dilated cardiomyopathy-associated FLNC c.2003A>G variant by restoring the five nucleotides missing from exon 12, thereby recovering filamin C expression. Together, these findings establish programmable microexon incorporation as a proof-of-concept strategy for correcting diverse disease-causing transcript defects.

bioengineering↗

Shoot loss reveals the latent capacity of Arabidopsis roots to reconstruct the plant body

Plant body organization depends on the coordinated development and function of shoots and roots, yet their functional specialization and interdependence remain incompletely understood. Whereas shoot senescence and death, as well as root regeneration from shoot tissues, are well studied, what capacities roots retain in the absence of the shoot remain unclear. To address this question, we tracked Arabidopsis roots after complete shoot excision. Initially, the remaining roots entered a growth-arrested but viable state. Despite broad repression of growth-associated programs, auxin and cytokinin signaling persisted, and the roots retained developmental responsiveness. This arrested state, however, was not developmentally terminal. By approximately 20 days after excision, green structures emerged from lateral root-associated domains. They accumulated chlorophyll and starch, assimilated carbon in response to light, and developed persistent cuticle-covered surfaces. Based on their origin and shoot-like characteristics, we termed them lateral root-derived shoots (LRSs). LRSs arose preferentially in the most shoot-proximal region, where cytokinin signaling progressively accumulated. Excision of this region repositioned LRS formation to the newly established proximal boundary, indicating spatial redefinition of shoot-forming competence. Auxin and cytokinin antagonistically governed the choice between continued lateral root growth and LRS identity, with cytokinin further promoting leaf-like differentiation. LRSs subsequently formed roots and developed into fertile plants under appropriate conditions. These findings reveal that roots retain developmental competence after shoot loss and can reorganize positional and hormonal programs to acquire shoot identity and reconstruct a complete plant body.

plant biology↗

Chromosomal mutational signatures of DNA damaging agents at single cell resolution

The chromosomal-scale mutational spectrum of small molecules that interact with DNA has been hard to study at scale, as mutational events are distributed in location and occur in parallel in different cells. Here, we present a framework that pairs phylogenetic ancestry reconstruction with mutational signature decomposition to characterise recent, cell-private copy number alteration (CNA) mutational patterns at single-cell resolution. We used this framework to characterise the cell-wise mutational spectrum of contemporaneous CNAs generated by double-strand-break-inducing chemotherapeutic drugs. We demonstrate that platinum salts, G-quadruplex stabilizers and topoisomerase II inhibitors, although mechanistically distinct, converge on a mutational signature dominated by telomere-bounded copy-number gains and losses. This signature is observed in different genetic backgrounds and in vivo in drug-treated patient-derived xenografts. We also observe a high rate of endogenous telomere-bounded mutational foreground in BRCA1 deficient cells. We show that the single cell genome derived signature exposures are drug dose-dependent, and use this to identify the decay of mutational load after drug withdrawal. We observe that both cisplatin and a G4 binder molecule (CX5461) exhibit foreground mutational signature persistence for at least 3 weeks after drug withdrawal, suggesting that residual effects of exposure may last longer than anticipated. Finally, extending the framework to serially drug-treated patient-derived xenograft (PDX) models, we show that telomere-bounded CNA signature exposure is associated with tumoural response to drug, consistent with loss of mutational activity on the genome after acquired resistance emerges. Together, our results show that our framework applied on scWGS identifies contemporaneous chromosomal mutation patterns induced by small molecules in human tissues.

cancer biology↗

Polystyrene Microplastics Accelerate Antibiotic Resistance Evolution and Exacerbate Pathogenicity in Acinetobacter Baumannii

Microplastics are pervasive environmental contaminants and are increasingly detected in contexts relevant to human health, yet their effects on antimicrobial resistance, host-pathogen interactions, and infection outcomes remain poorly understood. Here, we show that exposure to polystyrene microplastics alters both antibiotic resistance evolution and pathogenic behavior in Acinetobacter baumannii, a leading cause of multidrug-resistant hospital-acquired infections. Using experimental evolution under antibiotic selection, we demonstrate that microplastic exposure accelerates resistance emergence across multiple antibiotic classes. Although microplastic exposure did not uniformly enhance biofilm formation, it modestly impaired macrophage-mediated bacterial clearance, suggesting broader effects on bacterial adaptation and host interaction. In vivo, microplastic-associated infection resulted in more severe disease, characterized by increased lung tissue damage and reduced survival in a murine model of A. baumannii pneumonia. Together, these findings identify microplastics as ecological modifiers of bacterial adaptation, linking widespread plastic pollution to enhanced antimicrobial resistance and worsened infectious disease outcomes.

microbiology↗

Impact of Neurons on Group B Streptococcus Interactions at the Blood Brain Barrier

Streptococcus agalactiae (Group B Streptococcus, GBS) is a Gram-positive opportunistic pathogen and the leading cause of neonatal bacterial meningitis, a life-threatening infection of the central nervous system (CNS) that occurs when bacteria cross the blood-brain barrier (BBB). GBS commonly colonizes the maternal genital tract and is a major cause of invasive neonatal disease, including bacteremia and meningitis. Despite treatment advances, GBS meningitis remains associated with substantial mortality and long-term neurological sequelae. The BBB is a highly specialized barrier formed by brain endothelial cells (BECs) that restrict microbial entry into the CNS through tightly regulated intercellular junctions. The BBB exists within the neurovascular unit, where neurons and other CNS cell types actively regulate endothelial barrier properties through intercellular signaling. However, the contribution of neuronal-endothelial interactions to BBB function during neonatal meningitis remains poorly understood. To investigate the mechanisms by which GBS disrupts and penetrates the BBB, we utilized induced pluripotent stem cell (iPSC)-derived brain-like endothelial cells. EZ-Sphere-derived neurons generated from the same iPSC source were incorporated into an isogenic BBB model to determine whether neuronal-endothelial communication influences GBS interaction with BECs. Neuronal co-culture significantly reduced GBS adherence to and invasion of BECs while preserving tight junction integrity during infection. Application of neuron-conditioned medium similarly decreased bacterial adherence and invasion, suggesting that neuron-derived soluble factors enhance barrier integrity during GBS infection. Together, these findings demonstrate that neuronal signaling enhances BBB resistance to GBS and highlight a previously underappreciated role for neurovascular crosstalk in limiting bacterial pathogenesis. ImportanceGroup B Streptococcus (GBS) is the leading cause of bacterial meningitis in newborns. GBS interacts with and crosses the blood-brain barrier (BBB) contributing to a potentially fatal infection without treatment. Understanding how the BBB interacts with bacterial pathogens is critical for developing new strategies to protect vulnerable infants. In this study, we used human stem cell-derived models to recapitulate the BBB and examine how communication between brain endothelial cells and neurons influence host response to bacterial infection. These findings identify neuronal-endothelial communication as a potential contributor to BBB protection and provide a foundation for future studies aimed at preventing GBS invasion of the central nervous system.

microbiology↗

Post-loading ribonucleic acid into lipid nanoparticle carriers

Lipid nanoparticles (LNPs) are effective carriers for messenger ribonucleic acid (mRNA) delivery in vaccines; however, their reliance on extreme cold-chain storage limits global manufacturing and distribution. Conventional LNPs are formed by rapidly mixing four lipids with mRNA through electrostatic interactions between cationic ionizable lipids and negatively charged nucleic acids, facilitating nucleation and precipitation of mRNA-loaded LNPs. However, this binding also accelerates mRNA degradation, requiring stringent cold storage which limits widespread vaccine deployment. To overcome this limitation, we introduce a post-loading strategy in which empty LNPs (eLNPs) are first fabricated and RNA is subsequently loaded at a later stage. Using scalable confined impinging jet (CIJ) mixers, we optimized pH, buffer composition, lipid concentration, and ethanol content to produce colloidally stable eLNPs. Controlled adjustment of ethanol content and pH enabled efficient incorporation of four distinct RNA payloads while maintaining loaded LNP diameters below 100 nm. Post-loaded LNPs demonstrated mRNA delivery efficiencies in HeLa cells comparable to those of conventionally co-precipitated LNPs. Consistent size distributions and zeta potentials further confirmed comparable surface properties. Structural characterization by x-ray and neutron scattering revealed similar internal architectures for post-loaded and co-precipitated LNPs without compromising RNA loading efficiency. Together, these results demonstrate equivalent cellular delivery performance between the two formulations. This post-loading approach enables decentralized assembly of mRNA LNPs at the point of administration, with both eLNPs and mRNA stored under mild refrigeration, thereby improving vaccine accessibility. Moreover, eLNPs function as modular laboratory reagents, facilitating the translation of mRNA research toward clinical applications.

bioengineering↗

Illusory cold desensitizes touch

In Jack Londons To Build a Fire, the doomed protagonist notes that "the tremendous cold had already driven the life out of his fingers... dead fingers could neither touch nor clutch". Indeed, our hands are numbed when exposed to cold, a desensitization process traditionally attributed to biophysical and physiological effects on mechanoreceptor and afferent responses1. Yet, perception is not based solely on sensory inputs and often reflects prior beliefs and expectations2. Accordingly, the mere experience of coldness, given its association with tactile desensitization, conceivably modulates touch independent of physical effects. We dissociated the physical and subjective influences of cooling on touch by leveraging the Thermal Referral Illusion3-7, in which cooling of the index and ring fingers induces an illusory perception of coldness that is referred to the middle finger which did not experience local cooling. We found that both veridical and illusory cold elevated tactile detection thresholds. Threshold shifts scaled with subjective ratings of cold intensity which varied with thermal adaptation. Thermal referral induction did not result in changes to skin temperature, ruling out indirect physical effects on the tested finger. To account for cold effects on touch, we implemented a computational model incorporating both physical and subjective factors by simulating changes in tactile afferent spiking activity8 and modulation of decision computations, respectively. The model reproduced empirical cooling effects on afferent responses9 and recapitulated psychophysical detection patterns. Our results reveal that subjective thermal perception contributes to cold-induced attenuation of touch, highlighting how multimodal experiences and expectations shape somatosensation.

neuroscience↗

Spatial tumor microenvironmental architecture of chemoradiotherapy-resistant residual esophageal squamous cell carcinoma

PurposeResidual ESCC after neoadjuvant CCRT reflects incomplete treatment response and carries a high risk of recurrence. We sought to define the spatial tumor microenvironmental features of CCRT-resistant residual ESCC -- using tumor regression grade (TRG) 2-3 tumors as a model of poor pathologic response -- with mechanistic refinement at single-cell resolution and outcome assessment in internal and external cohorts. Experimental DesignWe profiled post-CCRT ESCC tissue microarray (TMA) cores by Visium FFPE whole-transcriptome spatial transcriptomics and orthogonal Xenium single-cell-resolution in situ profiling on serial sections from the same TMA blocks. Spot-level cell-type composition was inferred by CellDART deconvolution against a published ESCC single-cell RNA sequencing (scRNAseq). Local malignant-cell-enriched regions were defined by CancerFinder. We additionally re-analyzed the scRNAseq dataset to characterize SPP1 and CXCL5 macrophage states and their ligand-receptor signaling using CellChat. Outcome associations were evaluated in the SNUH cohort and externally tested in the TCGA ESCC cohort. ResultsTRG 2-3 residual tumors exhibited effector immune-cell exclusion from malignant-cell-enriched regions, SPP1/CXCL5 macrophage accumulation, microvascular rarefaction, and proliferative-metabolic reprogramming. Single-cell re-analysis confirmed that CXCL5 macrophages constitute a transcriptional subset of the broader SPP1 macrophage population. CellChat showed that SPP1 macrophages dominantly signal through SPP1-CD44 and SPP1-integrin axes to stromal and epithelial targets, and additionally engage immunosuppressive NECTIN2-TIGIT, CD86-CTLA4, and LGALS9-HAVCR2 programs with CD8 T cells, providing a mechanistic context for local immune exclusion. Visium LIANA and Xenium distance-gradient profiling localized SPP1-associated signaling preferentially to tumor cells and CAFs. Higher SPP1 expression and lower endothelial abundance were associated with shorter disease-free survival in the SNUH cohort. Higher SPP1 expression was also associated with shorter disease-free survival in the independent TCGA ESCC cohort. ConclusionsCCRT-resistant residual ESCC is characterized by a spatially organized tumor microenvironmental niche centered on SPP1-associated macrophage programs and microvascular rarefaction. These spatially resolved findings identify candidate macrophage- and vasculature-targeted axes for overcoming treatment resistance. Translational RelevancePatients with esophageal squamous cell carcinoma (ESCC) who harbor residual disease after neoadjuvant chemoradiotherapy (CCRT) remain at high risk of recurrence, yet the spatial biology of this resistant residual state has been poorly defined. Here, we combine Visium whole-transcriptome and Xenium single-cell-resolution spatial transcriptomics with single-cell RNA-seq re-analysis and external TCGA context to define the tumor microenvironmental architecture of CCRT-resistant residual ESCC. The resistant niche is characterized by effector immune-cell exclusion from malignant-cell-enriched regions, accumulation of SPP1/CXCL5 macrophage programs that signal to tumor cells and cancer-associated fibroblasts through SPP1-CD44 and SPP1-integrin axes, microvascular rarefaction, and proliferative-metabolic reprogramming. These findings define a coordinated spatial tumor microenvironmental signature of CCRT-resistant residual ESCC and nominate macrophage-tumor/stromal interactions and vascular injury as biologic axes that may help guide future strategies to overcome treatment resistance.

cancer biology↗

Structural Basis for Inhibition of the HKU5-CoV Main Protease by Clinical SARS-CoV-2 Protease Inhibitors

The identification of Pipistrellus bat coronavirus HKU5 lineage 2 (HKU5-CoV-2) as a human ACE2-adapted virus highlights the need for antiviral strategies to control emerging HKU5-related merbecoviruses. However, despite the importance of the main protease (Mpro) as a key antiviral target, structural and biochemical characterization of HKU5-CoV Mpro in the context of clinical inhibitors has remained limited. Here, we obtained high-resolution crystal structures of HKU5-CoV-1 Mpro in its apo state (1.75 [A]) and in complex with the approved covalent inhibitor nirmatrelvir (1.91 [A]) and the non-covalent inhibitor ensitrelvir (1.55 [A]). These structures reveal an induced-fit mechanism, in which the S2 loop containing Met49 adopts an open conformation in the apo state and undergoes inhibitor-specific conformational changes upon nirmatrelvir and ensitrelvir binding. These structures served as a foundation for the characterization of HKU5-CoV-2 Mpro via modeling and molecular dynamics simulations. Biochemical assays revealed that HKU5-CoV-1 and HKU5-CoV-2 Mpro exhibited nearly identical kinetic profiles, with turnover rates approximately two-fold higher than SARS-CoV-2 Mpro. Structural analysis revealed a highly conserved S1 subsite but distinct local environments in the S1', S2, and S4 substrate-binding sites relevant to inhibitor recognition. Despite these variations, nirmatrelvir and ensitrelvir showed potent inhibitory activity, with comparable double-digit nanomolar IC50 values across all three Mpro proteins. Computational analyses indicated that HKU5-CoV-2 Mpro engages nirmatrelvir and ensitrelvir in binding modes comparable to those observed for HKU5-CoV-1, supporting a conserved mechanism of inhibitor recognition and providing a structural basis for developing pan-coronavirus antivirals targeting emerging merbecoviruses.

biochemistry↗

Supplemental deinoxanthin ameliorates bone marrow microenvironmental impairments and recovers functional damage of bone marrow-retained cells in total body irradiation-exposed mice

Total body irradiation (TBI) can impair the bone marrow (BM) microenvironment and dysregulate the fates of BM-residing cells by overproducing reactive oxygen species (ROS) and inflammatory mediators. This study aims to investigate the potency and mechanism of Deinococcus radiodurans-derived deinoxanthin (DEIX) in mitigating TBI-mediated injuries in the BM microenvironment and BM-resident cells. C57BL/6 mice were divided into control, TBI, TBI+DEIX, and/or DEIX groups, in which the mice were exposed to sub-lethal TBI (5 Gy) or in combination with oral DEIX supplementation (25 mg/kg body weight). While the DEIXs effect on BM and BM-resident cells was determined after five weeks of TBI, RNA sequence profiling on the mouse group-derived BM cells was performed after two weeks of TBI. Supplementation with DEIX protected mice against TBI-mediated decrease in bone mineral density of trabecular bones. Supplemental DEIX suppressed BM microenvironmental impairment and the induction of oxidative stress and senescence in BM cells of TBI-exposed mice. That suppression was orchestrated by the DEIX-induced restoration of TBI-stimulated disorders in osteogenic, osteoclastogenic, and adipogenic activation in the BM. Ex vivo assays using BM cells supported the notion that DEIX restores TBI-mediated defects in BM cell function, including colony formation, migration, and differentiation. RNA sequence profiling demonstrated DEIXs potency to modulate the expression of genes that regulate cellular and systemic immune responses, cell proliferation and differentiation, and bone metabolism. Collectively, our results highlight the roles and associated mechanisms of DEIX in mitigating TBI-mediated microenvironmental impairment and in regulating BM-resident cells.

cell biology↗

Genotype and methylation interact to reconfigure transcriptional regulation in colorectal cancer

BackgroundTranscriptional regulation is shaped by both genomic variants and the environment. Yet, how the regulatory effects of genomic variants are reconfigured by dynamic epigenomic changes during tumorigenesis remains incompletely understood. MethodsWe investigated methylation context-dependent links between genotype and gene expression in colorectal cancer (CRC) using paired tumor and normal-adjacent tissue (NAT) from 80 patients, thereby controlling for germline genomic background. By integrating promoter-targeted bisulfite sequencing with RNA-seq, we systematically compared expression quantitative trait loci (eQTLs) and methylation quantitative trait loci (mQTLs). To capture regulatory complexity beyond simple mediation, we implemented a memo-eQTL framework that explicitly models genotype x DNA methylation (GxM) interactions. ResultsWe observed extensive tissue specificity in both eQTL and mQTL landscapes; tumor-specific eGenes were significantly enriched for hallmark oncogenic pathways, including WNT and MAPK signaling. Standard mediation models explained only a minority of genotype-expression relationships, whereas our explicit interaction framework revealed widespread reconfiguration of methylation-dependent genetic effects in tumors. Memo-eQTL mapping (FDR < 0.05) identified 18 NAT and 73 tumor eGenes with significant GxM interactions, and results were consistent at a more permissive threshold (FDR < 0.2). We further developed a patient-level memo-eQTL score and found that interaction-based regulatory disruption in NAT, but not in tumor, significantly correlated with clinical stage (P = 0.035). ConclusionsGenetic regulation in cancer is reorganized through context-dependent GxM interactions. Importantly, GxM signatures in NAT are specifically linked to disease progression, offering new insights into field cancerization and the clinical consequences of regulatory reprogramming in CRC.

bioinformatics↗

Immune Aging is an Independent Risk Factor for Cardiovascular Disease

Cardiovascular disease remains the leading cause of mortality, yet current clinical predictors miss substantial disease-risk. While the immune system contributes to this residual risk, its complexity has hindered broadly applicable, clinically scalable metrics of immune-state. Here, we establish the prognostic relevance of IMM-AGE, a system-level metric of immune-aging, to cardiovascular disease. We learn reference-free, low-dimensional representations of IMM-AGE across cell, protein, and mRNA measurements, enabling high-fidelity quantification across modalities, blood fractions, and platforms, including standard hospital flow cytometers. Among UK-Biobank participants, 56.9% of IMM-AGE variation remained unexplained by routine clinical measures, and across diverse cohorts totaling ~48,000 individuals, elevated IMM-AGE was independently associated with future cardiovascular risk, intervention outcomes, and mortality. Moreover, incorporation of IMM-AGE into the PREVENT 10-year risk equation significantly improved risk stratification. These findings establish immune-aging as an independent biological dimension of cardiovascular disease-risk and support IMM-AGE as a practical tool for precision risk assessment.

immunology↗

Transgene Expression Kinetics and Replication Potential of Recombinant Adenovirus Serotype 4 in a Mouse Model and its Use as a Herpes Simplex Virus Vaccine

Human adenovirus serotype 4 (Ad4) is used as a replication-competent oral vaccine that safely and effectively prevents Ad4 respiratory illness in US military personnel. Recombinant Ad4 vaccine candidates elicit mucosal and systemic immune responses against respiratory viruses in hamsters, nonhuman primates, and humans. Although evaluation of Ad4 vaccine candidates in mice would be extremely useful given the large number of immunologic tools available, this has been limited by concerns about a lack of viral replication in these animals. Here we generated recombinant Ad4 vectors that express either luciferase (Ad4-Luc) or herpes simplex virus type 2 (HSV-2) glycoprotein D (Ad4-gD2) to identify transgene expression kinetics, the presence of Ad4 vector replication, and HSV-2 immune responses and protection against HSV-2 infection. Local luciferase activity was observed from 7 hours to 20 days after intranasal inoculation of BALB/c and humanized mice. Subsequent inoculations with Ad4-Luc showed reduced luciferase expression in BALB/c mice, but robust expression in humanized mice, suggesting an immune response to the vector in wild-type mice. Ad4 DNA, but not luciferase activity, was reduced in the lungs of BALB/c mice treated with cidofovir before inoculation with Ad4, implying that Ad4 replicated, albeit at a low level, in the lungs. Intranasal vaccination of mice with Ad4-gD2 resulted in HSV-2 neutralizing antibody in the serum, and after HSV-2 intravaginal challenge reduced disease scores, increased survival, and reduced shedding. Overall, the BALB/c mouse model is semi-permissive to Ad4 mucosal infection, but transgene expression is sufficient for the study of Ad4-based vaccine candidates. ImportanceMucosal surfaces serve as the primary site of infection and shedding for many viral pathogens. Immune responses at mucosal sites provide protection, but few mucosal vaccines are licensed. The oral replication-competent adenovirus serotype 4 (Ad4) vaccine is used to prevent respiratory illness in military recruits, has an extraordinary record of safety and efficacy and has been tested as a recombinant platform for other viruses. Further development of this vaccine platform has been partially hindered by the perceived inability to evaluate vaccine candidates in mice. Here we characterize recombinant Ad4 transgene expression kinetics and viral replication after inoculation at various sites and show protection against herpes simplex virus type 2 (HSV-2) genital disease in mice after intranasal vaccination. We show that Ad4 can induce protective efficacy, even in a semi-permissive mouse model, suggesting this is a promising vector for HSV-2 and potentially other viral pathogens.

immunology↗

Potential of HLA-E-targeting diabodies to induce lysis of HIV-1-infected cells by CD8+ T cells

A long-lived reservoir of cells harboring intact HIV-1 provirus persists throughout decades of antiretroviral therapy and can give rise to rapid viral rebound after treatment interruption. Some cure strategies employ cytotoxic T lymphocytes (CTL) to target this reservoir; however, the applicability and efficacy of immunotherapeutic strategies involving MHC class I-restricted CTL is limited by the polymorphic nature of MHC class I molecules and their downregulation by HIV-1 Nef. The non-polymorphic non-classical class I molecule HLA-E is stably expressed on HIV-1-infected CD4+ T cells and presents a potential universal target. We generated a single-chain diabody RLP-13 that redirects CTLs to target cells presenting a well-characterized peptide derived from Mycobacterium tuberculosis in the context of HLA-E. We verified the affinity and specificity of RLP-13. Through co-culture experiments, we confirmed that RLP-13 mediates polyfunctional, HLA-agnostic CTL responses. Using an HIV-1 reporter construct encoding the target peptide, we demonstrated robust and specific elimination of the HIV-1-expressing cell population. This proof-of-concept study shows that HLA-E antigens are promising immunotherapeutic targets that can bypass the limitations of classical MHC class I antigens - allelic variation and downregulation - and that such bispecific antibodies recognizing HIV-1-derived HLA-E binding epitopes could induce elimination of productively infected cells. SummarySengupta, Bachmann et al. utilize a novel HLA-E-restricted CD3-engaging single-chain diabody to induce antigen-specific polyfunctional CTL-responses that are HLA-type-independent. They further show that such biologics have potential to eliminate HIV-1-infected cells by targeting HLA-E-binding epitopes encoded in the HIV-1 provirus.

microbiology↗

Temporal AI model predicts drivers of cell state trajectories across human aging

Foundational AI models have recently shown promise for predicting the impact of perturbations on cell states. However, current models typically consider only one cell state at a time, limiting their ability to learn how cellular responses unfold over time, particularly across long trajectories such as diseases of aging. Here, we develop a temporal AI model, MaxToki, trained on nearly 1 trillion gene tokens including cell state trajectories across the human lifespan to generate cell states across long timelapses of human aging. MaxToki generalized to unseen trajectories through in-context learning and predicted novel age-modulating targets that were experimentally verified to influence age-related gene programs and functional decline in vivo. MaxToki represents a promising strategy for temporal modeling to accelerate the discovery of interventions for programming therapeutic cellular trajectories.

bioinformatics↗