Biology subjects

Wang, J.

Publications and source records attributed to Wang, J..

At least 397 records · Page 22Linked to original sources

bioRxiv2026

EBNA1 INHIBITORS REVEAL CDC7 AND POU2F1 AS DIRECT FUNCTIONAL TARGETS IN EBV EPITHELIAL CANCERS

Epstein-Barr virus (EBV) latent infection is causally linked to several epithelial cancers, including endemic forms of undifferentiated nasopharyngeal carcinoma (NPC) and to a subtype of gastric cancer (GC). EBNA1 is the viral-encoded sequence-specific DNA-binding protein required for episome maintenance but also contributes to host-cell survival through multiple mechanisms including binding to host chromosome. We previously developed small molecule inhibitors of EBNA1 DNA-binding that block host cell cycle progression and growth of EBV+ tumors in vivo. However, the underlying molecular mechanisms of EBNA1 function and inhibition have not been completely elucidated. In this study, we employ VK1727 to inhibit EBNA1 DNA-binding to viral and cellular genomes in three EBV+ epithelial tumors (PDX C15, C666-1 and SNU719). We integrate EBNA1ChIP-seq and transcriptomic RNA-seq analyses to identify the cell cycle dependent kinase CDC7 and a stem cell transcription factor POU2F1 as direct functional targets of EBNA1 in these epithelial cancers. EBNA1 binding to CDC7 promoter and POU2F1 intron promotes RNA Pol II-pS5 to initiate transcription of these two genes. We show that CDC7 inhibitor Simurosertib is epistatic, while Bcl2 inhibitor Venetoclax is synergistic with VK1727 in the inhibition of EBV+ epithelial cancer cell proliferation and survival. Our study reveals new functional gene targets and pathways of VK1727 in EBV+ epithelial cancers that provide new biomarkers and combinatorial strategies to treat EBV-driven cancers. IMPORTANCEEBNA1 is essential for EBV latency and tumorigenesis, but its mechanism of action on host gene expression is not yet known. Small molecule inhibitors of EBNA1 DNA-binding block cell cycle progression and inhibit growth of EBV+ tumors. In this study, we use the EBNA1 small molecule inhibitor VK1727 to identify cellular gene targets that are bound by EBNA1 and deregulated by its pharmacological inhibition in EBV+ epithelial cancer cell lines and an NPC PDX mouse model. We identify cycle dependent kinase CDC7 and the stem cell transcription factor POU2F1 as EBNA1 bound and regulated genes important for EBV epithelial cancer proliferation. These findings not only decipher molecular mechanism how VK1727 blocks cell cycle progression and inhibits cell proliferation but also provide two new cellular gene targets and pathways for therapeutic intervention in EBV+ epithelial cancers.

microbiology↗

bioRxiv2026

Between- and Within-subject Variability in Actigraphy Data: A Case Study on Sleep Patterns in Schizophrenia

Variability in longitudinal health outcomes provides critical insight into disease dynamics, yet most statistical analyses continue to prioritize mean trajectories. This limitation is particularly consequential in psychiatric and mobile health (mHealth) research, where intensive repeated measurements increasingly reveal pronounced heterogeneity and temporal instability that cannot be captured by average responses alone. Standard mixed-effects models typically impose homoscedastic variance assumptions and relegate variability to a nuisance component, despite mounting evidence that both variability information, at both between- and within-subject level, carry independent clinical significance. Here, we describe an improved mixed-effects location-scale model for longitudinal outcomes that simultaneously characterizes mean structure, between-subject heterogeneity, and within-subject fluctuations. The proposed framework explicitly links variance components to both time-invariant and time-varying covariates, extending classical mixed-effects models to accommodate heteroscedastic and dynamically evolving variability. By jointly modeling location and scale parameters, the method enables direct inference on variability (or stability) of the data alongside mean trends. We evaluated the approach using an actigraphy-based mHealth case study of sleep patterns in schizophrenia. Our results demonstrate that explicitly modeling variability uncovers clinically relevant structure obscured by mean-based analyses, underscoring the importance of variability-aware modeling for modern longitudinal and mHealth research.

neuroscience↗

bioRxiv2026

Stereoselective methyl-swapping demonstrates target specificity of cognitive enhancer

The Integrated Stress Response (ISR) couples cellular stress sensing to translational control, playing a critical role in the homeostatic regulation of cell health. However, prolonged and unmitigated ISR activation becomes maladaptive and drives the progression of a wide range of pathologies, including cognitive decline. Pharmacological inhibition of the ISR with the small, drug-like molecule ISRIB has proven remarkably effective in reversing cognitive deficits and pathology in animal models, highlighting its potential for therapeutic intervention in humans. We engineered an allele-specific ISRIB analog (mISRIB) that selectively targets a mutant form of eIF2B, the molecular target of ISRIB, without affecting wild-type eIF2B. Notably, mISRIB treatment in mice homozygous for the eIF2B mutant allele enhances synaptic plasticity and long-term memory, confirming the on-target mechanism underlying ISRIBs cognitive benefits. Our results provide a framework for dissecting the ISRs contributions within complex cellular networks, such as those governing brain function, with precise temporal and spatial resolution.

biochemistry↗

bioRxiv2026

Directed conversion of porcine extended pluripotent stem cells into trophoblast-like stem cells through modulation of conserved TGF-β and ERK signaling pathways

Trophoblast stem cells (TSCs) provide a tractable system for interrogating the signaling pathways that govern extraembryonic lineage commitment. Although trophoblast specification has been extensively characterized in humans and rodents, comparable tools and molecular frameworks remain poorly defined in pigs. Here, we identify defined biochemical conditions that enable the conversion of porcine extended pluripotent stem cells (pEPSCs) into TSCs. Pharmacological inhibition experiments demonstrate that coordinated repression of TGF-{beta}/Activin and MEK/ERK signaling is sufficient to induce and maintain a stable trophoblast transcriptional program. Under these conditions, cells robustly upregulate core trophoblast regulators, including CDX2, GATA3, KRT7/18, HAND1, and ELF5, while concomitantly suppressing pluripotency- and hypoblast-associated gene networks. Bulk transcriptomic profiling reveals extensive lineage reprogramming, with enrichment of pathways related to cell adhesion, extracellular matrix organization, and placental development. Functional in vivo assays further show that induced trophoblast-like cells form small, non-teratomatous lesions that express extraembryonic markers, whereas parental pEPSCs generate teratomas that contain derivatives of all three germ layers. Together, these findings establish that combined inhibition of TGF-{beta}/Activin and MEK/ERK signaling is sufficient to specify porcine trophoblast identity from pluripotent stem cells and provide a biochemical framework for dissecting conserved and species-specific mechanisms underlying trophoblast specification and placental development. HighlightsO_LIDefined signaling conditions enabling stable conversion of porcine extended pluripotent stem cells (EPSCs) into trophoblast-like stem cells (TSC). C_LIO_LIDual inhibition of TGF-{beta}/Activin and ERK pathways drives robust trophoblast commitment. C_LIO_LITranscriptional reprogramming reveals conserved trophectoderm regulatory networks distinct from pluripotency and hypoblast states. C_LIO_LIInduced porcine TSCs display restricted in vivo potential, consistent with trophoblast identity. C_LI

developmental biology↗

bioRxiv2026

Microbubble-Enhanced Focused Ultrasound Improves Targeted Adeno-Associated Virus Delivery in Brain Tumors Quantified by PET Imaging

Gene therapy using adeno-associated virus (AAV) vectors shows promise for cancer treatment through molecular intervention, yet achieving sufficient and targeted delivery to brain tumors via systemic administration remains limited by the biological barriers. Here, we investigate whether microbubble-enhanced focused ultrasound (MB-FUS) improves targeted delivery of systemically administered AAV9 to orthotopic gliomas, using quantitative PET imaging of 64Cu-radiolabeled AAV9 vectors and fluorescent reporter expression to assess biodistribution and functional efficacy. At 21 hours after injection, 64Cu-AAV9 accumulation was 3.2-fold higher in FUS-treated tumors compared to non-FUS-treated tumors (n=3, p=0.004). Quantitative PCR analysis of tumor tissue at the same timepoint confirmed a 6.4-fold increase in genome copies in FUS-treated tumors (p=0.0003). The enhanced vector delivery translated to a 5.3-fold increase in optical reporter protein expression in FUS-treated compared to control tumors (p=0.0002) at 17 days post-treatment. These results establish that MB-FUS enables spatially-targeted AAV delivery with quantifiable enhancement in both acute vector biodistribution and downstream transgene expression. The integration of radiolabeled AAV with PET imaging provides a non-invasive methodology for real-time assessment of vector delivery and optimization of treatment protocol for brain cancer gene therapy. HighlightsO_LIMB-FUS enables targeted systemic AAV delivery to brain tumors. C_LIO_LIMB-FUS enhanced vector delivery translates to increased transgene expression in gliomas. C_LIO_LIPET imaging of radiolabeled AAV allows non-invasive tracking of gene therapy vectors. C_LIO_LIReal-time imaging validates spatially-controlled gene delivery for brain cancer. C_LI

bioengineering↗

bioRxiv2026

TREM2 agonist antibody rebuilds the resident synovial macrophage lining barrier in rheumatoid arthritis

Rheumatoid arthritis (RA) can be viewed as a disease of barrier failure, in which CX3CR1+/TREM2+ synovial tissue-resident macrophages that form the lining barrier over cartilage and bone become fragmented and disorganized. However, how to therapeutically rebuild this barrier--and how macrophage states transition during repair--remain unclear. We engineered TR-Ab19, a mouse-selective agonistic antibody against TREM2, as a precision tool to initiate and interrogate barrier repair in vivo. TR-Ab19 engages TREM2-linked downstream signaling and redirects synovial macrophages from Clec4d+ inflammatory/proliferative programs toward TREM2+CX3CR1+Aqp1+ barrier-like states, thereby rebuilding the lining barrier. Across collagen-induced arthritis (CIA) and serum-transfer arthritis (STA) models, TR-Ab19 reduces synovitis, preserves cartilage and bone microarchitecture, limits osteoclastogenesis, and attenuates systemic cytokines and B-cell abnormalities. Single-cell RNA-seq with trajectory and cell-cell communication analyses reveal a TREM2-dependent shift toward a barrier-dominant macrophage ecosystem. Together, these findings establish antibody-mediated reprogramming of resident synovial macrophages as a barrier-centered strategy for RA and provide a framework for instructing macrophage niches in chronic inflammation.

bioengineering↗

bioRxiv2026

The genetic repertoire of the deep sea: from sequence to structure and function

The deep sea as the largest and maybe most hostile environment on Earth is still underexplored especially regarding its genetic repertoire. Yet, previous work has revealed significant habitat-specific deep-sea biodiversity. Here, we present an integrated deep-sea genetic dataset comprising 502 million nonredundant genes from 2,138 samples and 2.4 million predicted structures, and used it to link specific protein structures with genetic variants associated with life in the deep sea and to assess their biotechnology potential. Combining global sequence analysis with biophysical and biochemical measurements revealed unprecedented sequence diversity, yet substantial structural conservation of proteins. Especially proteins involved in replication, recombination, and repair were identified to be under rapid evolution and with specialized properties. Among these, a structurally divergent helicase exhibited advantages in controlling nanopore sequencing speed. Thus, our work positions the deep sea as a unique evolutionary engine that generates and hosts genetic diversity and bridges genetic knowledge with biotechnology.

bioinformatics↗

bioRxiv2026

Integrative Multi-Omics Analysis Identifies a Functional Enhancer Driving Tumorigenesis in Head and Neck Squamous Cell Carcinoma

Enhancer is a critical epigenetic feature in head and neck squamous cell carcinoma (HNSCC), yet the functional roles of individual enhancers remain poorly understood. Here, we conducted an integrative multi-omics analysis based on publicly available ATAC-seq, H3K27ac ChIP-seq, transcriptomic profiling, and genetic association datasets to systematically map HNSCC-associated enhancers and their target genes. Integrating ATAC-seq and H3K27ac ChIP-seq, we identified 20,362 enhancers and 18,040 enhancer-associated genes, highlighting widespread regulatory complexity. Functional characterization of the TERT-associated enhancer GH05J001312 (GRCh38/hg38: chr5:1312099-1317743) revealed strong transcriptional activity in HNSCC. CRISPR-mediated deletion of a core sequence significantly reduced TERT expression, impaired cellular proliferation in vitro, and suppressed tumor growth in vivo, confirming its role as a key cis-regulatory element. RNA-seq analysis of enhancer-edited cells uncovered 742 differentially expressed genes enriched in cancer-related pathways, including MAPK and IL-17 signaling, indicating a broad transcriptional impact. Collectively, our findings establish GH05J001312 as a functional enhancer driving oncogenic programs in HNSCC and suggest enhancer-targeted strategies as a potential therapeutic avenue.

cancer biology↗

bioRxiv2026

AbNovoBench: a resource and benchmarking platform for monoclonal antibody de novo sequencing

Monoclonal antibodies (mAbs) are critical in disease diagnostics and therapeutics, yet the performance of mass spectrometry (MS)-based de novo sequencing remains incompletely characterized due to limited antibody-specific datasets and the absence of a standardized benchmark framework. Here we present AbNovoBench, a comprehensive framework for evaluating data analysis strategies for mAb de novo sequencing. It features the largest high-quality dataset to date, generated in-house, comprising 1,638,248 peptide-spectrum matches from 131 mAbs across six species and 11 proteases, supplemented by eight mAbs with known full-length sequence for end-to-end reconstruction assessment. Employing a unified training dataset, we systematically benchmarked 13 deep learning-based de novo peptide sequencing algorithms and three assembly strategies across peptide sequencing metrics (accuracy, robustness, efficiency, error types) and assembly metrics (coverage depth, assembly score). AbNovoBench (https://abnovobench.com) provides an online platform enriched with curated antibody MS resources and pre-trained models, enabling customizable antibody sequencing workflows, accelerating antibody-specific algorithms development, and improving reproducibility in proteomics.

systems biology↗

bioRxiv2026

Single Plaque Proteomics Reveals the Composition and Dynamics of the Amyloid Microenvironment in Alzheimer's Disease

Alzheimers disease (AD) is characterized by amyloid plaques that form complex microenvironments in the brain. However, the molecular composition of these plaques and their temporal regulation are not well defined. Here, we developed a sensitive workflow for quantitative proteomic profiling of single plaques using refined laser capture microdissection and data-independent acquisition mass spectrometry (LCM-DIA-MS). From >200 plaques and control regions in AD mouse models (5xFAD and APP-KI) and human brains, we quantified >7,000 proteins, revealing stage-dependent, cell-type-related remodeling of the amyloid proteome (amyloidome). Temporal profiling uncovered early immune and lysosomal activation followed by engagement of RNA processing and synaptic pathways. Cross-model and cross-species analyses determined a conserved amyloidome including APOE, MDK, PTN, and HTRA1, validated by co-localization in imaging analysis. Network analysis highlighted modules in lipid transport, vesicle organization, and autophagy. These findings establish amyloid plaques as conserved, dynamic multicellular hubs that link amyloid accumulation to downstream cellular events.

neuroscience↗

bioRxiv2026

A real-time, multi-animal model for automatic face detection and identification of freely moving common marmosets based on YOLOv8 algorithms

Precise and up-to-date information about animal location and identity allows us to better quantify individual behaviors in studies of neural activity, cognition, and animal health. In socially housed laboratory animals, identification is usually defined by observation or invasive markers, making the data collection time-consuming, variable across experimenters, and disruptive to animals. We established an automatic pipeline for real-time identification of common marmosets in captivity using a close-view camera. It uses the supervised deep-learning YOLOv8 model to localize individuals, detect faces, and classify identities. Moreover, we use recognition of uniquely color-coded collar beads to improve detection accuracy among visually similar individuals. Across adult and juvenile marmosets, our system automatically identifies marmosets with > 82.9% precision and > 91.5% recall, achieving human level performance. This pipeline is designed to be easy-to-use and generalizable across non-human primate species, ages, and recording hardware, providing rapid and automatic identity recognition from real-time video.

animal behavior and cognition↗

bioRxiv2026

Cell type-resolved proteomics reveals intra- and intercellular signalingin Alzheimers disease

Alzheimers disease (AD) arises from pathological interactions among diverse brain cell types, but cell-specific proteomic changes remain underexplored. Here, we present deep proteomic profiling of sorted or proximity-labeled brain cells from AD mouse models (5xFAD and AppNL-G-F) at multiple ages, quantifying 13,411 proteins in microglia (three subtypes), astrocytes, oligodendrocyte precursor cells, and neurons. We identified 3,028 differentially abundant proteins across these cell types, the majority of which were not detected in bulk proteomic datasets, and constructed cell type-specific networks to define functional modules and hub proteins. Comparison with transcriptomic data revealed that [~]30% of proteomic changes are RNA-independent. Further analyses uncovered cross-cell type signaling proteins conserved in human AD brains, such as pleiotrophin (Ptn), which is transcriptionally enriched in astrocytes but accumulates in microglia. Importantly, recombinant PTN directly activates induced microglia-like (iMG) human cells. Thus, these findings provide a comprehensive cell type-resolved proteomic atlas of AD models, highlighting novel intra- and intercellular signaling events. HighlightsO_LIA high-resolution cell type-resolved proteomic atlas of Alzheimers disease mouse models C_LIO_LI[~]3,000 cell type-specific protein alterations identified beyond bulk tissue analyses C_LIO_LIProteomic profiling of microglial subtypes reveals subtype-specific changes in Alzheimers disease C_LIO_LIAstrocyte-microglia signaling is highlighted and validated through PTN-mediated interactions C_LI

neuroscience↗

bioRxiv2026

Ultrasound-Mediated Gene Therapy in Alzheimer's Disease Validated through In Vivo PET Imaging

Efficient, spatially selective delivery of adeno-associated virus (AAV) therapeutics to deep brain structures remains a major challenge to gene therapy for Alzheimers disease (AD), owing to limited transport across the blood-brain barrier (BBB) and poor penetration to target neurons. Here, we establish an integrated, noninvasive imaging and therapy platform that combines microbubble-enhanced focused ultrasound (MB-FUS) with positron emission tomography/computed tomography (PET/CT) to transiently modulate the BBB, enhance region-specific AAV delivery following systemic dosing, and longitudinally track transduction in vivo. Optimized MB-FUS achieved targeted hippocampal delivery of systemically administered AAV9 in healthy mice, resulting in a 10-fold enhancement of neuronal transduction as compared to non-FUS controls. Importantly, longitudinal PET reporter gene imaging in the 5xFAD AD model demonstrated robust brain AAV transduction that remained stable for at least seven months. Finally, to assess therapeutic impact, we used brain-derived neurotrophic factor (BDNF) as a test cargo. MB-FUS-facilitated delivery elevated BDNF expression in targeted regions and produced short-term improvements in synaptic signaling in 5xFAD mice. Collectively, these results highlight MB-FUS as a next-generation delivery platform to overcome barriers to AAV therapeutic delivery in Alzheimers disease and position longitudinal PET assessment as a critical, translatable tool for monitoring and optimizing gene therapy.

bioengineering↗

bioRxiv2026

Transcriptomics-based modeling of methionine metabolism effectively estimates sample-wise DNA methylation activity and epigenetic aging

DNA methylation is a central epigenetic modification that regulates gene expression, maintains genomic stability, and guides cellular differentiation. However, direct measurements of DNA methylation, such as whole-genome bisulfite sequencing or DNA methylation arrays, are costly and require substantial DNA input, limiting their scalability for large cohorts and their applicability to emerging modalities such as single-cell and spatially resolved transcriptomics. In this study, motivated by the fact that DNA methylation is fundamentally a metabolic process, we investigate whether sample-wise DNA methylation activity can be inferred directly from transcriptomic profiles of genes involved in methionine and one-carbon metabolism. We show that a compact metabolic model comprising seven core reaction steps and 98 genes accurately predicts total DNA methylation activity across matched transcriptomic and methylation datasets from CCLE, TCGA, GTEx, and an independent single-cell multi-omics data set. Building on this framework, we develop Total DNA Methylation Activity (TDMA), a physics-informed neural network-based score that enables robust estimation of DNA methylation activity from bulk, single-cell, and spatial transcriptomics data. We demonstrate that TDMA captures methylation-dependent transcriptional regulation and identifies genes and pathways under epigenetic control. Applying TDMA to GTEx, we further reveal strong associations between the predicted total methylation activity, chronological aging, and established epigenetic clocks. We also demonstrated that TDMA can serve as a transcriptomics-derived epigenetic clock and highlights age-dependent roles of folate and glutathione metabolism in epigenetic aging. Applying TDMA to single cell and spatial transcriptomics data collected from pancreatic adenocarcinoma (PDAC), we identified that methionine metabolism and DNA methylation regulates T cell cytotoxicity in the tumor microenvironment of PDAC. Together, this work establishes a scalable, modality-agnostic framework for estimating DNA methylation activity from transcriptomics and provides new insights into the metabolic regulation of epigenetic aging.

bioinformatics↗

bioRxiv2026

Asymmetric architecture and adaptation of Treponema flagella

Spirochetes exhibit a distinctive corkscrew-like motility driven by periplasmic flagella that wrap around the cell body in a supercoiled configuration, yet the structural basis of this unique propulsion remains poorly understood. Here we combine cryo-electron microscopy, cryo-electron tomography, and genetic and biochemical analyses to determine the assembly and adaptation principles of the supercoiled flagellar filament in Treponema denticola, a major periodontal pathogen. Near-atomic structures reveal a glycosylated FlaB flagellin core encased by a previously unrecognized asymmetric sheath. The major sheath protein FlaA forms the bulk of the sheath and mechanically couples to the core through defined interfaces required for efficient motility, whereas four minor sheath proteins (FlaA1, FlaA2, FlaAP1, and FlaAP2) assemble along the concave side of the filament to accommodate intrinsic curvature. Disruption of this asymmetric core-sheath organization compromises force transmission and impairs motility, establishing coordinated asymmetric assembly as a fundamental mechanism underlying spirochetal motility.

molecular biology↗

bioRxiv2026

Structural mechanism of Necrocide 1 activation of human TRPM4 that triggers necrosis by sodium overload

The small molecule Necrocide 1 (NC1) constitutively activates human TRPM4, triggering Na influx and leading to necrotic cell death, a process termed Necrosis by Sodium Overload (NECSO). NC1 activation is specific to human TRPM4 and does not affect most of the other mammalian TRPM4 orthologs. Here, we elucidate the molecular mechanism underlying NC1 activation and its species-specific selectivity for human TRPM4 using a combination of single-particle cryo-EM, electrophysiology, and cell death assays. We identify the NC1-binding site and the key molecular determinants responsible for channel activation. In addition, we explain the insensitivity of mouse TRPM4 to NC1 and pinpoint specific residues that define NC1 specificity for human TRPM4. Given the upregulation of TRPM4 in various human cancers, our mechanistic insights into NC1 activation and specificity provide a framework for the potential development of cancer therapeutics targeting TRPM4-mediated necrosis.

biophysics↗

bioRxiv2026

Pseudomonas volatiles shape the root transcriptome and microbiome to promote plant growth under drought

O_LIVolatile organic compounds (VOCs) emitted by soil bacteria influence interactions with other soil microbes and with plant roots. While their potential as plant-growth promoters is well recognized, their role in promoting plant resilience to abiotic stress and the underlying molecular mechanisms remains poorly understood. Here, we investigate the role of Pseudomonas VOCs in enhancing plant resilience to drought stress. C_LIO_LIArabidopsis thaliana plants were exposed to VOCs emitted by Pseudomonas strains under both control and osmotic-stress conditions. VOC exposure generally enhanced plant growth, and this effect was even more pronounced under both drought and salt stress. Transcriptomic analysis revealed that VOC exposure modulates key stress-responsive pathways, including those related to abscisic acid biosynthesis and signalling, sugar transport, iron uptake, aliphatic glucosinolate biosynthesis, and plant defences. Using Arabidopsis mutants, we identified abscisic acid and aliphatic glucosinolates as important components in mediating the plant response to VOCs. SWEET11/12 sugar transporters and ABA signaling genes were downregulated by VOCs exposure, in order to allow for a positive regulation of lateral root numbers (in case of SWEET genes) and plant growth in general under drought stress. In summary, using metabolomics, transcriptomics and functional analysis, we showed a negative cross-talk between the effects of VOCs on plant growth and glucosinolate production, whereas a positive interaction was observed between the biosynthesis of coumarins and VOCs. C_LIO_LINotably, VOCs also improved drought tolerance in soil-grown Brassica oleracea plants. We showed that VOC treatment altered the root-associated microbiome under drought, leading to a community composition more similar to that of well-watered plants. C_LIO_LIOur results show that Pseudomonas emitted VOCs can promote plant growth under drought conditions, linked to root transcriptional reprogramming and direct or indirect microbiome modulation. C_LI

plant biology↗

bioRxiv2026

Disruption of the VEGFR3-HSPG2 induces lymphatic reflux dysfunction and sepsis

The lymphatic system plays a central role in fluid transport and immune regulation, yet its contribution to sepsis remains incompletely understood. Analysis of more than 500,000 individuals from the UK Biobank reveals that lymphatic system disorders and genetic variants in FLT4 (VEGFR3) are strongly associated with increased sepsis risk. Single-cell RNA sequencing further shows a marked reduction of VEGFR3^high lymphatic endothelial cells during sepsis. LEC-specific deletion of VEGFR3 impairs lymphatic reflux without disrupting vessel architecture, leading to barrier failure, systemic inflammation, bacterial dissemination, and sepsis. Mechanistically, VEGFR3 sustains lymphatic glycocalyx integrity by promoting SOX18-dependent HSPG2 transcription and heparan sulfate biosynthesis. Consistently, LEC-specific HSPG2 knockdown or pharmacological inhibition of SOX18 phenocopies VEGFR3 deficiency, whereas heparan sulfate supplementation alleviates sepsis-like pathology. Moreover, HSPG2 genetic variants are significantly associated with both lymphatic disorders and sepsis. Collectively, these findings identify lymphatic reflux dysfunction as a pathogenic determinant of sepsis and establish disruption of the VEGFR3-SOX18-HSPG2-heparan sulfate axis as an active driver of disease.

molecular biology↗