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Lee, W.

Publications and source records attributed to Lee, W..

At least 19 recordsLinked to original sources

Diacylglycerol Kinases Balance DAG Signaling to Control B Cell Maturation, Germinal Center Homeostasis, and Humoral Immunity

Diacylglycerol (DAG) is a critical second messenger downstream of the B-cell receptor (BCR), but how DAG signaling is regulated during B-cell development and humoral responses remains incompletely understood. Here, complementary gain- and loss-of-function approaches revealed stage-specific requirements for diacylglycerol kinase (DGK)-regulated signaling in B cells. Expression of the gain-of-function DGK{zeta} mutant DGK{zeta}{Delta}NLS had limited effects on early BM B-cell development but progressively impaired transitional and mature B-cell populations. DGK{zeta}{Delta}NLS attenuated BCR-induced ERK1/2 and mTOR signaling, activation, and proliferation and, when expressed in AID-expressing B cells, reduced GC B-cell survival and T-dependent IgG responses without detectably impairing GC B-cell proliferation in vivo. Conversely, combined DGK/{zeta} deficiency resulted in marked spontaneous GC B-cell expansion associated with enhanced ERK1/2, Akt, and S6 signaling and increased glucose uptake. Despite this steady-state GC expansion, DGK/{zeta}-deficient mice developed spontaneous autoreactivity and mounted impaired antigen-specific antibody responses. Thus, B-cell developmental stages exhibit differential sensitivity to altered DGK activity, and opposing perturbations of DGK-regulated signaling produce reciprocal effects on GC B-cell accumulation while both compromise productive humoral immunity. These findings identify DGKs as critical regulators that tune lipid signaling for B-cell maturation, GC homeostasis, and effective antibody responses.

immunology↗

Characterization of Stress Tolerance and Probiotic Traits of Streptococcus salivarius Strains Isolated from Wildflower Honey

Aims Honey represents a distinct microbial habitat, imposing physicochemical stresses on its resident microbiota while also serving as a potential source of beneficial microorganisms. This study aimed to isolate lactic acid bacteria (LAB) from Korean wildflower honey and characterize their gastrointestinal (GI) and physiological stress tolerance, adhesion-related properties, functional characteristics, and safety to evaluate their potential as probiotic candidates. Methods and Results Two Streptococcus salivarius strains, DOW-5A and DOW-10, were isolated from Korean wildflower honey and identified by phenotypic and molecular analyses. Both strains survived in sequential exposure to simulated GI conditions and showed tolerance to physiological stresses. DOW-5A maintained higher viability during the simulated gastric phase, whereas DOW-10 showed an initial decrease in viable counts followed by an increase during the simulated intestinal phase. The two strains also exhibited various probiotic characteristics, including mucin adhesion and antioxidant activity. Atypical, crystalline colony morphologies associated with EPS production were observed when sucrose was supplied as a carbon source. Both strains formed biofilms, while DOW-5A showed a marked increase in biofilm formation upon sucrose supplementation. Neither strain showed gelatinase or hemolytic activity or significant cytotoxicity toward Caco-2 cells. Impact Statement In this study, we isolated two honey-derived S. salivarius strains with high probiotic potential. Our findings highlight wildflower honey as a potential reservoir of LAB with traits relevant to survival under GI and physiological stresses, as well as various probiotic traits.

microbiology↗

Single-cell multi-ancestry regulatory map of systemic lupus erythematosus

Integrating genomic and single-cell transcriptomic profiles from patient cohorts can uncover regulatory effects underlying genetic associations with disease. Here we present SLEmap, a multi-ancestry single-cell expression quantitative trait locus (sc-eQTL) map generated from peripheral blood mononuclear cells from 281 patients with systemic lupus erythematosus (SLE). We identified 18,608 independent eQTLs in 5,656 genes, of which 149 signals in 66 genes colocalized with SLE GWAS loci. Nearly half of these colocalizations were detected exclusively through cell type-level analyses, highlighting the importance of cellular context for interpreting disease-associated genetic variation. Multi-ancestry data identified regulatory signals robust across diverse ancestral backgrounds and improved signal resolution. Most colocalizations were undetectable in sc-eQTLs from a healthy cohort (OneK1K), with novel SLE colocalizations highlighting disease-relevant regulatory mechanisms across distinct cell types, including the NF-{kappa}B pathway. These findings demonstrate the value of disease-specific, multi-ancestry single-cell regulatory maps for resolving the genes and cellular mechanisms underlying disease-associated genetic variation.

genetics↗

When DL-Based Prescreening Meets Synthon-Based Docking: Target-Adapting PharmacoNet via MEL-Steered Correction

As chemical libraries expand into the trillions of molecules, Virtual SYNthon Hierarchical Enumeration Screening (V-SYNTHES) has emerged as a leading strategy for making gigascale virtual screening computationally tractable. In V-SYNTHES, a Minimal Enumeration Library (MEL) of chemical fragments is docked against a target first, and only the top-scoring fragments are expanded into full ligands for large-scale docking. However, among the large number of comparably well-docked fragments, only a small fraction can be expanded under a fixed docking budget, leaving most similarly promising fragments unexplored. General-purpose prescreening tools can be adopted to address this constraint, reallocating the same docking budget across a larger pool of fragments' enumerated full ligands by their proxy score. However, such tools are applied without accounting for target-specific pocket environments. One such method, PharmacoNet, predicts interaction hotspots from a protein structure and ranks candidates via graph matching against a fixed set of interaction-type weights. We recognize that V-SYNTHES's initial fragment-docking step, ordinarily used only for selection of best fragments for expansion, already reveals which of these hotspots and interaction types a given pocket actually favors, and we can recover this signal to fine-tune PharmacoNet accordingly. We introduce MEL-Steered PharmacoNet, a parameter-efficient adaptation framework that specializes PharmacoNet to a given target through two composable mechanisms: (i) empirical density-map steering of predicted pharmacophore hotspots, and (ii) empirical fine-tuning of interaction-type scoring weights. Across three structurally distinct GPCR targets (CB2, GPR91, 5-HT2AR), MEL-Steered PharmacoNet achieves substantial enrichment factor (EF100) gains over a random baseline, and improves EF100 over PharmacoNet by 8.94x, 6.87x, and 1.69x, respectively. The fitted per-target weights further reveal distinct, chemically interpretable interaction profiles that PharmacoNet's generic fixed weights fail to capture. These results show that fragment-docking data already generated by the standard V-SYNTHES pipeline can adapt a general-purpose pharmacophore prescreening method to an individual target, significantly improving its performance while retaining its ultra-fast screening ability, with no additional experimental data or model retraining.

bioinformatics↗

Multimodal Hypersampling of the adult human heart resolves tissue-specific cell states and disease-associated variants

Cardiovascular diseases often arise in anatomically specialised regions of the heart that remain poorly represented in existing single-cell and spatial atlas references. Here we profiled 28 regions of the adult human heart from 36 donors, combining paired single-nucleus RNA and chromatin accessibility assays with spatial transcriptomics. The resulting atlas integrates 1,059,175 expression profiles and 452,614 chromatin accessibility profiles, and defines spatial niches across the heart. In cardiac valves, we identify a valve fibroblast-macrophage niche that is polarised to the non-fibrosa surface and expands with age. Aortic stenosis genetic risk was enriched in inflammatory regulatory programmes of the Valve Fibroblast Immune cell state. In pulmonary veins, we define PITX2+ Myocardial Sleeve Cells, a region-restricted cardiomyocyte population in which a fine-mapped 4q25 atrial fibrillation variant intersects a cell type-specific open chromatin region. In coronary arteries, we resolve a RUNX1-marked synthetic smooth muscle layer in the subintima that provides a molecular identity for diffuse intimal thickening, a constitutive feature of the healthy vessel wall and a substrate for atherosclerosis, and show by perturbation in human smooth muscle cells that RUNX1 promotes cell-cycle entry while restraining inflammatory cytokine gene expression. Finally, allele-specific accessibility together with deep learning models fine-tuned to predict regulatory activity from DNA sequence identify cell type-specific regulatory effects at GWAS loci for atrial fibrillation, coronary artery disease and calcific aortic valve stenosis, including a variant whose Valve Fibroblast-specific effect on the polyamine transporter ATP13A3 is opposite in direction to the effect seen in bulk-tissue eQTL references that lack valve cells. Together with these cardiac sequence models and CardioSleuth, an AI-powered exploration engine for cardiac regulatory effects, this atlas links cardiac anatomy, gene regulation and disease genetics at single-cell resolution. By placing genetic risk in its precise cellular and anatomical context, it provides a foundation for mechanistic disease understanding, cell-state-specific therapeutic target nomination, and improved interpretation of inherited cardiovascular risk to inform future therapy and management.

Cell Biology↗

Osteocyte Perilacunar/canalicular Remodeling (PLR) Drives Spatially Heterogeneous Lacunar Remodeling During and After Lactation

BackgroundPregnancy and lactation impose substantial demands on maternal calcium homeostasis, leading to pronounced skeletal remodeling during lactation followed by recovery after weaning. Although bone mass is largely returned at the tissue level after weaning, it remains unclear whether osteocyte-level remodeling exhibits a similarly reversible pattern. Osteocytes regulate mineral mobilization through perilacunar/canalicular remodeling (PLR), which is elevated during lactation. However, its spatial and temporal regulation in response to reproduction remains poorly defined. Objective/HypothesisThis study aims to determine whether PLR-regulated lacunar remodeling during reproduction varies with osteocyte location and relative age. We hypothesized that osteocyte PLR-mediated lacunar change is spatially heterogeneous during lactation, varies with osteocyte location and relative age, and may persist after weaning. MethodsFemale wild-type (WT) and osteocyte-specific PTH/PTHrP receptor knockout (cKO) mice were studied across reproductive stages. Longitudinal in vivo DXA and CT were used to assess skeletal changes. Sequential fluorochrome labeling tracked mineral dynamics and defined osteocyte relative age. Osteocyte PLR activity was evaluated by MMP13 immunohistochemistry. Lacunar-canalicular structure (LCS) was assessed using Ploton silver nitrate staining, and spatially resolved lacunar morphology was quantified using high-resolution backscattered scanning electron microscopy (bSEM). ResultsAt the tissue level, reproduction induced distinct skeletal responses, characterized by reversible cortical bone loss and persistent trabecular deterioration. Cortical bone loss during lactation was spatially asymmetric and confined to the posterior cortex. Fluorochrome labeling further resolved surface-specific remodeling patterns during reproduction, including endocortical resorption at the posterior cortex and sustained deposition at anterior endocortical and posterior periosteal surfaces. At the cellular level, osteocyte PLR activity increased during lactation in WT mice and returned after weaning, whereas no changes were observed in cKO mice. Consistently, lacunar size increased during lactation and returned toward baseline after weaning in WT mice but remained unchanged in cKO mice. Spatially resolved analysis demonstrated that lacunar remodeling was heterogeneous across cortical thickness. At the anterior cortex, lacunar enlargement occurred near the endocortical surface during lactation and was reversible after weaning. In contrast, at the posterior cortex, lacunar enlargement occurred near the periosteal surface and persisted after weaning. These spatial patterns corresponded to cortical regions enriched with newly formed osteocytes, whereas pre-existing osteocytes exhibited minimal changes. This spatial heterogeneity was absent in cKO mice. ConclusionOsteocyte PLR-mediated lacunar remodeling during reproduction is spatially heterogeneous and varies with osteocyte location and relative age. These findings demonstrate that recovery at the tissue level does not necessarily extend to the osteocyte microenvironment and identify osteocyte PLR-mediated lacunar remodeling as a spatially structured and potentially persistent component of reproductive skeletal adaptation. Together, these results highlight a previously unrecognized layer of maternal skeletal health.

bioengineering↗

Organoid-T cell co-cultures functionally stratify tumor-reactive T cells and their responses to immune checkpoint inhibitors

Tumor-reactive T cells (TRTs) are critical for anti-tumor immunity but are incompletely captured by current assays, which fail to reproduce tumor-specific antigen diversity. Here, we show that multiplex functional profiling of patient-derived tumor organoid-T cell co-cultures (PDOTs) enables robust identification of TRTs across CD8, CD4, and double-negative (DN) T cell populations. Single activation markers underestimated TRT responses, whereas integrated analysis revealed broader functional repertoire. MHCI blockade abrogated CD8 and DN TRT responses while preserving CD4 reactivity, supporting antigen-dependent recognition across T cell lineages. Tumor PDO expressed MHCI and MHCII, and PDOTs enabled generation and detection of TRTs from peripheral blood. PD1 blockade induced heterogeneous responses, enhancing CD8 and DN activity and unexpectedly augmenting CD4 reactivity. PDOTs further identified additional inhibitory pathways whose therapeutic targeting in combination with PD1 blockade increased TRT responses. These findings establish PDOTs as a platform to identify TRTs and functionally stratify patient-specific tumor-T cell responses to checkpoint immunotherapy.

immunology↗

Ablation of glypican-3 enhances radiosensitivity in liver cancer by prolonging G2/M arrest and activating the ATM/CHK2 pathway

Glypican-3 (GPC3) is an oncofetal protein widely being explored as a diagnostic and therapeutic target in hepatocellular carcinoma (HCC). Given that radiotherapy in the form of external beam and radioembolization are standard-of-care treatments for HCC, we aimed to determine whether there was any relationship between GPC3 and response to radiotherapy. Here, we demonstrate that GPC3 expression confers radioresistance in liver cancer through integrated in vitro, in vivo, and patient-level clinical analyses. Stable GPC3-knockout in liver cancer cell lines (HepG2, Hep3B, Huh7) and ectopic GPC3 expression in GPC3-negative liver cancer cells (SNU449), as well as in non-hepatic A431 cells, demonstrated that GPC3-mediated radioresistance is not restricted to hepatic lineage. Following irradiation, GPC3-deficient cells exhibited reduced proliferation, impaired clonogenic survival, persistent DNA damage, prolonged G2/M arrest, and increased apoptosis. Transcriptomic profiling demonstrated enrichment of cell-cycle and DNA damage response pathways in irradiated GPC3-deficient cells compared with GPC3-positive cells, and protein analyses confirmed sustained activation of the ATM/CHK2 axis. In vivo, GPC3 deletion markedly enhanced radiation-induced tumor growth delay in both HepG2 and A431 xenograft models. Consistent with these findings, high GPC3 expression was associated with inferior clinical outcomes in patients with HCC undergoing external-beam radiotherapy or radioembolization. Together, these findings identify GPC3 as a determinant of radioresistance in liver cancer and suggest its potential utility as a biomarker to guide radiotherapeutic strategies. Significance statementRadiotherapy is an important treatment option for HCC, but biomarkers that predict tumor response remain limited. GPC3 is highly expressed in most HCCs and is being investigated as an important biomarker for diagnosis and treatment of this disease, yet its relationship, if any, on radiosensitivity has not been previously reported. Here, we identify GPC3 as a modulator of radioresistance. GPC3 loss enhances radiosensitivity and is associated with persistent unresolved DNA damage, prolonged G2/M arrest, and sustained activation of the ATM/CHK2 pathway, resulting in delayed tumor growth after irradiation. In a clinical cohort of patients treated with radiotherapy, high GPC3 expression was associated with poorer overall survival. These findings suggest that GPC3 expressing tumors may necessitate either more dose-intense radiotherapy, radiobioligically ablative and/or combined with other modalities, or alternative therapeutic modalities to adequately treat HCC.

cancer biology↗

Flowable Grafts Made from Granular Extracellular Matrix (gECM) Hydrogels Promote Integrative Repair of Articular Cartilage in a Large-Animal Model

Focal injuries to articular cartilage in load-bearing joints fail to heal and often progress to degeneration, underscoring the need for repair strategies that result in restored cartilage structure and function rather than fibrocartilage formation. Granular extracellular matrix (gECM) hydrogels, flowable grafts composed of densely-packed matrix particles, offer a promising approach but lack long-term functional validation in large-animal models. Here, we developed a flowable gECM hydrogel composed of decellularized cartilage microparticles incorporated within a thiol-functionalized hyaluronan matrix. Proteomic analysis confirmed enrichment of cartilage-specific gECM matrisome components. When implanted into critical-sized femoral condyle defects in a goat model and evaluated 12 months post-implantation, both gECM hydrogel and microdrilling (surgical controls) achieved >80% defect filling. However, in contrast to microdrilling, gECM repair tissue exhibited surface tribological (friction, adhesion) and compressive mechanical properties comparable to native cartilage, with a similar proteoglycan-to-collagen ratio, enrichment of type II collagen, minimal type I collagen (typical of a fibrous scar), improved quantitative MRI metrics, and evidence of lateral cartilage integration and subchondral bone remodeling. Together, these findings demonstrate that a flowable gECM hydrogel supports integrative, cartilage-like repair in a load-bearing joint, supporting advancement of this approach toward clinical translation. One Sentence SummaryA granular ECM hydrogel implanted in a goat condyle provided a robust repair, filling the defect tissue with integrated, hyaline-like cartilage at 12 months.

bioengineering↗

Analysis of Confounding Factors in Reactive Cysteine Profiling Reveals Enhanced Chromatin-Protein Association via CDK7 Inhibition by THZ1

Recent advances in activity-based proteome profiling (ABPP) have enabled global mapping of cysteine ligandability, uncovering novel biological insights and opportunities for identifying disease vulnerabilities. While both live cell-based and native lysate-based ABPP have been applied, how cysteine ligandability differs between these systems and what factors influence these measurements remain unclear. Building on our previous development of a high-throughput TMT-ABPP workflow for native lysates, here we adapt the protocol for live cells and systematically compare cysteine ligandability across both platforms. Our analysis reveals three major contributors to the discrepancies: in-cellulo cysteine accessibility, protein abundance changes, and protein relocalization. Notably, we highlight that CDK7 inhibitor THZ1 induces substantial protein relocalization and promotes chromatin binding. Together, these results provide a practical framework for ABPP experimental design and data interpretation, supporting more accurate application of ABPP in functional proteomics and drug discovery.

cell biology↗

Oral and gut microbiomes reveal latent physiological constraints on release readiness in rehabilitating Javan slow lorises

Illegal wildlife trade and habitat degradation displace thousands of animals annually in Southeast Asia, with many confiscated primates housed in rehabilitation centers that increasingly function as long-term holding environments. In slow lorises, dental clipping associated with the pet trade may generate persistent disruption along the oral-gut axis, potentially undermining physiological readiness for release in ways not captured by conventional screening. Here, we evaluated whether microbiome structure provides an integrative marker of release readiness in rehabilitating Javan slow lorises (Nycticebus javanicus). From June to October 2024, we collected fecal (n = 26) and saliva (n = 18) samples from 19 adults housed at YIARI, including 10 release candidates and 9 non-candidates classified primarily based on tooth loss, medical history, and possibility of release. Bacterial communities were characterized using 16S rRNA (V3-V4) amplicon sequencing, with alpha and beta diversity, taxonomic enrichment (LEfSe), and predicted functional profiles (PICRUSt2) assessed. Microbiome composition was strongly compartmentalized by body site, with higher alpha diversity in the gut. Release candidacy was associated with modest gut compositional differences, whereas oral microbiomes showed pronounced divergence between candidates and non-candidates. Non-candidates were enriched in dysbiosis-associated taxa and degradation-oriented functional pathways, while candidates showed enrichment of biosynthetic and central energy metabolism pathways. Gut microbiome structure was stable across pre-release and soft-release phases. These findings indicate that oral and gut microbiomes represent distinct physiological niches and that persistent oral microbiome alteration is a sensitive marker of long-term dental perturbation. Integrating microbiome-informed metrics may improve multidimensional assessment of release readiness.

microbiology↗

Rete Ridge Topography as a Determinant of Epidermal Stem Cell Identity: Implications for Skin Aging

Stem cell niches are dynamic microenvironments that regulate tissue homeostasis. Epidermal stem cells (EpiSC) preferentially localize to concave regions of epidermal rete ridges, which serve as primary niches for stem cell maintenance. EpiSC number and functional integrity decline during chronological aging. A defining feature of aged skin is epidermal atrophy, in which the prominent rete ridges present in young skin become flattened. Whether such topographical alterations influence EpiSC homeostasis and differentiation remains unclear. To address this, we generated anatomically accurate rete ridge structures using 3D bioprinting of collagen matrices as an ex vivo model and compared EpiSC cultured within concave topography to those maintained on a flat matrix resembling aged skin. Transcriptomic analysis revealed that concave niches promoted keratinocyte differentiation, marked by increased type I and II keratin gene expression and downregulation of cell cycle-associated genes. ATAC-seq identified topography-dependent chromatin accessibility changes enriched for transcription factors regulating epidermal differentiation, including upregulation of KLF4 and GRHL3 and downregulation of SOX9, HOXA1, and ETS1. Consistently, aged human skin showed reduced KLF4 and GRHL3 and increased SOX9 compared with young skin. Our findings demonstrate that concave niche topography imposes a spatially defined EpiSC microenvironment that promotes differentiation, alters cell cycle, and when perturbed, potentially contributes to the aging process. We conclude that spatial localization within rete ridge regions significantly affects epidermal progenitor stemness properties as fundamental differences in the physical microenvironment appear to influence cell fate decisions, thus, form shapes function of EpiSC.

cell biology↗

Deciphering context-dependent epigenetic program by network-based prediction of clustered open regulatory elements from single-cell chromatin accessibility

Large cis-regulatory domains, spanning tens to hundreds of kilobases, are pivotal in orchestrating cell-state-specific transcriptional programs that define cellular identity. However, existing single-cell analytical frameworks lack the capacity to identify these higher-order structures, thereby obscuring the coordinated, domain-level epigenetic regulation essential for complex biological processes. To address this, we introduce enCORE, a computational framework that leverages enhancer-enhancer interaction networks to determine Clustered Open Regulatory Elements (COREs) solely from single-cell ATAC-sequencing data. Our approach faithfully recapitulates established hematopoietic hierarchies and resolves lineage-specific regulatory programs by recovering canonical master transcription factors, frequent chromatin interactions, and enrichment of fine-mapped immune-related disease-associated genome-wide association study (GWAS) variants. In colorectal cancer, enCORE captures tumor-associated H3K27ac landscapes and prioritizes USP7 as a potential therapeutic candidate, supported by in silico perturbation. Collectively, our framework provides a powerful and scalable platform for deciphering the complex epigenetic architectures underlying human development and disease.

bioinformatics↗

Code-Multiplexed Multi-Frequency Impedance Cytometry with a Unified Deep-Unfolding Network

Impedance flow cytometry (IFC) is a label-free, single-cell measurement technique that captures biophysical properties beyond traditional biochemical markers. Code-multiplexing allows parallelization of IFC with simple hardware but requires advanced signal processing algorithm to resolve overlaps in signals originating from different channels. Existing methods, however, rely on multiple task-specific networks with template-based linear fitting, which loses accuracy under nonlinear or unstable conditions common in microfluidic experiments. Prior studies have also been restricted to demultiplexing single-frequency impedance measurements. To this end, we develop a unified deep-unfolding network for analyzing code-multiplexed, multi-frequency IFC data. We unfold successive-interference cancellation (SIC) algorithm into a deep-learning network that encodes the structural priors of SIC, and enable a single multitask network to resolve overlaps while sharing information across tasks. To mitigate nonlinear signal stretching and amplification, our network recognizes events by predicting bit-level intensity and duration. For multi-frequency impedance profiling, we apply least-squares fitting to the predicted single-frequency real-impedance trace to map the real and imaginary impedance traces at other frequencies. On the cell-bead mixture evaluation dataset, our pipeline resolves overlaps from singlets to triplets reliably, reconstructs impedance-intensity distributions accurately, and enables multi-frequency impedance profiling. As a demonstration of principle, we use our pipeline to perform label-free quantification of basophil activation from code-multiplexed, multi-frequency IFC measurements. Consistent with previous study, impedance opacity correlates well with activation levels measured by fluorescence flow cytometry. In summary, our study demonstrates the feasibility and utility of a deep-unfolding network that extends code-multiplexed, multi-frequency IFC to label-free single-cell functional assays.

bioengineering↗

Multimodal Approach for Identification and Validation of Hepatocellular Carcinoma Targets for Radiotheranostics

Identifying tumor selective targets is critical for the development of precision diagnostic and therapeutic agents in oncology. Despite advances in precision oncology elsewhere, there are no FDA-approved hepatocellular carcinoma (HCC)-selective treatments. HCC is the most common type of liver cancer and accounts for significant morbidity and mortality worldwide. Here, we sought to integrate bulk (371 cases) and single cell RNA sequencing (scRNAseq, n=2 datasets, 34 cases, 102,956 cells) of patient samples to enrich for molecules that are overexpressed in HCC, which could serve as HCC-selective targets. To guide definitions of tumor and normal cell clusters with higher fidelity, we also imported a normal liver scRNAseq dataset. Using this integrated approach, we identified several HCC-selective plasma membrane molecules. To validate these targets, we performed immunohistochemical staining of HCC and normal tissue microarrays and confirmed HCC-selective staining of identified targets. Next, we verified the presence of these targets in several commercially available HCC cell lines by flow cytometry and western blot. Finally, we designed, engineered, and tested novel antibody-based positron emission tomography (immunoPET) agents to these targets in various murine models of liver cancer. Our findings confirm that we can leverage this multimodal approach to identify and validate of HCC-selective targets, which can be used to develop tumor-selective diagnostic and therapeutic radiopharmaceuticals, or radiotheranostics, and other precision oncology agents. One Sentence SummaryA multimodal pipeline defines and validates tumor-selective surface targets for radiotheranostic use in hepatocellular carcinoma.

cancer biology↗

Biodistribution-Driven Discovery Identifies a Glycosidase-Cleavable Linker to Reprogram Radiotheranostics

While radiopharmaceutical therapy (RPT) has become part of the standard-of-care for patients with advanced prostate cancers and neuroendocrine tumors (NETs), cures are elusive and normal tissue toxicity remain a challenge. Chemical groups susceptible to cleavage by enzymes present in tumors, tumor microenvironment or in normal tissues, have the potential to improve the therapeutic index for RPT. Using DOTA-TATE as an example and drawing from strategies used to develop antibody-drug conjugates, we designed, and synthesized, a chemically diverse series of linkers between the chelator (DOTA) and the targeting vector (TATE). Of the 10 agents we tested, two with cleavable linker domains reduced kidney retention compared to DOTA-TATE: the previously reported DOTA-MVK({varepsilon})-TATE, and a novel agent bearing cleavable beta-galactose ({beta}-Gal) unit, DOTA-{beta}-Gal-TATE. In murine models of NETs, positron emission tomography (PET) was used to image yttrium-86 (86Y)-labeled variants and show that, while the 86Y-DOTA-MVK({varepsilon})-TATE exhibits similar tumor uptake to the parent non-cleavable 86Y-DOTA-TATE, 86Y-DOTA-{beta}-Gal-TATE shows enhanced tumor uptake, resulting in up to 10-fold improvement in the tumor-to-kidney ratios compared to 86Y-DOTA-TATE. In vitro and in vivo studies confirm high efficiency, enzyme-specific cleavage of 86Y-DOTA-MVK({varepsilon})-TATE and 86Y-DOTA-{beta}-Gal-TATE, supporting a key role for cleavable linker chemistry in the observed outcomes. RPT studies using actinium-225 (225Ac)-labeled variants confirm that all agents are therapeutically effective and well tolerated. While both cleavable variants exhibit superior local control, overall survival, and more favorable toxicity profile when compared with 225Ac-DOTA-TATE, 225Ac-DOTA-{beta}-Gal-TATE demonstrated lower nephrotoxicity. Our findings suggest a potentially generalizable strategy for improving the pharmacokinetics of radiopharmaceutical therapy agents. One Sentence SummaryA {beta}-galactose-cleavable linker reduces kidney toxicity, enhances tumor targeting and therapeutic efficacy in radiopharmaceutical therapy.

cancer biology↗

Cigarette smoke exposure sets up a pro-inflammatory circuit in the lung that induces the hyper-activation of myelin-specific T helper cells

Cigarette smoke (CS) exposure increases the risk of multiple sclerosis; however, the mechanisms are unclear. To investigate this, we exposed C57BL6/J mice to CS or ambient air (AA) for 8 weeks using a protocol modelling human chronic CS exposure and studied the impact of these exposures on the development of experimental autoimmune encephalomyelitis (EAE). We found that CS increased the incidence of neurological signs in 2D2 myelin oligodendrocyte glycoprotein (MOG) T cell receptor transgenic mice, whereas in active EAE induced by MOG peptide and Complete Freunds adjuvant, CS delayed the onset of disease. In both cases, the effects of CS tended to be greater in the males who also developed greater leukocyte infiltration and expression of IL-12p40 and other cytokines. To gain insights into the paradoxical effects of CS in these EAE models, we transferred congenically-marked pMOG-reactive T helper cells into AA- or CS-exposed mice and examined the phenotype of these cells in the lungs, spleen, and spinal cord. We found that CS-exposed lungs acted as a sink for the pMOG-reactive T cells, in that more of these T cells homed to the lungs instead of the spinal cord. However, these CS-educated pMOG Th cells exhibited a hyperactivated Th phenotype with greater expression of activation markers, IL-17, and GM-CSF, a cytokine that is essential for EAE development. Intranasal treatment with anti-IL-12p40 negated these effects of CS on the expression of pro-inflammatory cytokines by pMOG Th cells. These studies suggest that CS sets up a pro-inflammatory circuit in the lung that amplifies the encephalitogenic properties of myelin-specific T effector cells. HighlightsO_LICS exposure enhances the development of spontaneous neuroimmunity. C_LIO_LIMyelin-reactive T helper 1 responses are enhanced by CS exposure. C_LIO_LICS-exposed lung attracts myelin-specific T helper cells to this site. C_LIO_LICS enhances myelin-specific Th1/Th17 cytokine production and GM-CSF through lung IL-12p40 C_LI

immunology↗

Cinnamomum cassia Extract and Its Novel Isolated Compound Suppress Inflammation via Autophagy Induction in Sepsis

Uncontrolled inflammation is central to the development of diseases such as sepsis, and autophagy has emerged as a critical regulatory mechanism in this process. The ethanol extract of Cinnamomum cassia (EECC) was identified as a potent autophagy inducer through high-throughput LC3 reporter screening. EECC enhanced autophagic flux, as confirmed by RFP-GFP-LC3 imaging and immunoblotting. It also suppressed Toll-like receptor signaling and reduced pro-inflammatory cytokine production in macrophages. EECC inhibited nuclear factor-{kappa}B signaling in an autophagy-dependent manner, as this effect was reversed by autophagy inhibitors. To identify active constituents, 24 compounds were isolated from EECC, including six novel structures. Among the novel compounds, Cassitamine F exhibited dual activity as an autophagy inducer and inflammation suppressor. In a lipopolysaccharide-induced sepsis model, Cassitamine F significantly reduced serum levels of pro-inflammatory cytokines. These findings suggest that EECC and Cassitamine F may hold therapeutic potential for autophagy-targeted treatment of sepsis and other inflammation-related disorders. Highlights- Ethanol extract of Cinnamomum cassia (EECC) identified as a potent autophagy inducer via high-throughput LC3 HiBiT screening. - EECC suppresses Toll-like receptor signaling and pro-inflammatory cytokines through autophagy-dependent pathways. - Twenty-four compounds were isolated from EECC, including six novel structures (Cassitamine A-F). - Cassitamine F exhibits dual activity: induction of autophagy and inhibition of inflammation. - Cassitamine F significantly reduces serum cytokine levels in an LPS-induced sepsis model, suggesting therapeutic potential.

pharmacology and toxicology↗