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Zhang, L.

Publications and source records attributed to Zhang, L..

At least 289 records · Page 16Linked to original sources

Adventitial leptin receptor-expressing fibroblasts are preferential contributors to fibrotic remodeling of the heart post infarction

BackgroundCardiac fibrosis, a hallmark of heart failure and an unmet clinical need, arises from pathological activation of pre-existing cardiac fibroblasts (CFs), but the contribution of CF heterogeneity to this process remains unclear. MethodsMurine models were used to lineage trace or deplete a specific sub-population of CFs at baseline and after myocardial infarction (MI). Transcriptional and epigenetic differences between fibroblast subsets were assessed using next-generation sequencing. Conservation in humans was evaluated through single-cell RNA-seq datasets and histological examination. ResultsIn mice, fibroblasts were the sole cardiac cell type expressing the signaling-capable isoform of the leptin receptor (LepR). LepR+ CFs emerged neonatally, occupied a defined niche in the coronary adventitia, exhibited enhanced hedgehog signaling, and responded to leptin. After MI, LepR-Cre+ CFs proliferated more than interstitial CFs, became a predominant fibroblast lineage in the scar, and their genetic ablation reduced fibrosis while improving function. LepR+ CFs were also detected in the human heart, where they were embedded in an adipocyte-rich niche. ConclusionsThese findings identify adventitial fibroblasts as key drivers of pathological remodeling and demonstrate that fibroblasts, rather than cardiomyocytes, are the principal responders to leptin in the heart, redefining how this major endocrine pathway influences cardiac remodeling and disease.

cell biology↗

KF/parabrachial complex PACAP - glutamate pathway to the extended amygdala couples rapid autonomic and delayed endocrine responses to acute hypotension

The calyx of Held is a giant axo-somatic synapse classically confined to the auditory brainstem. We recently identified morphologically similar calyx-like terminals in the extended amygdala (EA) that arise from the ventrolateral parabrachial complex and co-express PACAP, CGRP, VAChT, VGluT1, and VGluT2, targeting PKC{delta}+/GluD1+ EA neurons. Here we asked whether this parabrachial-EA pathway participates in compensation during acute hypotension. In rats given hydralazine (10 mg/kg, i.p.), we quantified Fos protein during an early phase (60 min) and a late phase (120 min). Early after hypotension, Fos surged in a discrete subpopulation of the parabrachial Kolliker-Fuse (KF) region and in the EA, whereas magnocellular neurons of the supraoptic and paraventricular nuclei (SON/PVN) remained largely silent. By 120 min, magnocellular SON/PVN neurons were robustly Fos-positive. Confocal immunohistochemistry showed that most Fos+ PKC{delta}/GluD1 EA neurons were encircled by PACAP+ perisomatic terminals (80.8%), of which the majority co-expressed VGluT1 (88.1%). RNAscope in situ hybridization further identified a selective KF population co-expressing Adcyap1 (PACAP) and Slc17a7 (VGluT1) that became Fos-positive during the early phase. Together these data suggest that a KFPACAP/VGluT1 projection forms calyceal terminals around PKC{delta}/GluD1 EA neurons, providing a high-fidelity route for rapid autonomic rebound to falling blood pressure, while slower endocrine support is subsequently recruited via neurohormone-magnocellular activation. This work links multimodal parabrachial output to temporally layered autonomic-neuroendocrine control. Short abstractAcute hypotension triggers rapid autonomic compensation followed by slower endocrine support. We identify a Kolliker-Fuse (KF) PACAP/VGluT1 pathway to the extended amygdala (EA) that initiates the fast limb. In hydralazine-treated rats, Fos rose at 60 min in KF and EA but not in magnocellular SON/PVN; by 120 min SON/PVN were strongly Fos-positive. Confocal microscopy showed that [~]81% of Fos+ PKC{delta}/GluD1 EA neurons were surrounded by PACAP+ calyceal terminals, [~]88% of which co-expressed VGluT1. RNAscope revealed a selective KF Adcyap1/Slc17a7 population that became Fos-positive early. We conclude that KF PACAP/VGluT1 calyces onto PKC{delta}/GluD1 EA neurons provide a high-fidelity autonomic pathway that precedes vasopressin-mediated endocrine compensation.

neuroscience↗

Effective repurposed antivirals against an emerging virus

The ongoing global monkeypox virus (MPXV) outbreak urgently needs effective medications, which be accelerated through drug repurposing. However, it is challenging to poinpoint protein targets. Here we introduce a novel method rooted in molecular evolutionary theory for quick drug target identification for MPXV. It identifies drug targets as positively selected genes of viral proteins which bind host proteins. From the identified targets, we select a top gene product OPG021 for virtural drug screening. One top-ranked drug nilotinib is experimentally shown to have a significant 69% of antiviral efficacy of the FDA-approved antiviral tecovirimat (TPOXX(R) or ST-246). Higher binding affinity but not antiviral efficacy of repursposed drugs than FDA-approved drugs suggests the complexity of drug repurposing and underscores the importance of experimental validation. This innovative drug target identification strategy will contribute to combating the ongoing MPXV outbreak and other viral acute and chronic viral diseases.

pathology↗

A Machine Learning Approach Reveals CRISPR-Cas I-F as a Genomic Marker of Antibiotic Susceptibility in Uropathogenic E. coli

BackgroundAntimicrobial resistance (AMR) in Escherichia coli is a critical global health challenge, particularly in urinary tract infections, where first-line treatments are increasingly compromised. While horizontal gene transfer (HGT) via mobile genetic elements is a major driver of AMR, the genomic factors that may constrain resistance gene acquisition remain underexplored. CRISPR-Cas systems, which provide adaptive immunity against foreign DNA, could influence AMR dynamics, but their role in E. coli remains incompletely understood. MethodsWe conducted a comprehensive whole-genome analysis of uropathogenic E. coli isolates, including a newly sequenced collection from Australian clinical samples and an independent, globally sourced validation cohort. Antimicrobial susceptibility profiles were integrated with CRISPR-Cas subtype classification, resistance gene burden, and mobile element content. Elastic net regression, adaptive lasso, and tree-based machine learning models were used to identify genomic predictors of resistance, with performance validated across both datasets. ResultsCRISPR-Cas subtype I-F was consistently associated with susceptibility to antibiotics commonly acquired through HGT, including trimethoprim and ampicillin, and linked to lower ARG and MGE burden. In contrast, Type I-E arrays, especially when co-occurring with orphan I-F arrays, were associated with increased resistance. These associations remained robust after adjusting for phylogroup, plasmid content, and genomic background, and were validated across datasets. ConclusionsSubtype-specific CRISPR-Cas systems shape antibiotic resistance profiles in E. coli, with Type I-F functioning as a potential genomic barrier to ARG acquisition. These findings highlight CRISPR array typing as a novel biomarker for AMR risk prediction and surveillance, and suggest new opportunities for leveraging CRISPR-based mechanisms to limit resistance propagation in clinical contexts.

genomics↗

PTH-Induced Behavioral and Metabolic Alterations in Mouse Models of Hyperparathyroidism

Parathyroid hormone (PTH) is a critical endocrine regulator of calcium homeostasis and bone remodeling and is widely employed in clinical settings through synthetic analogs for the treatment of osteoporosis. Although traditionally considered a peripheral regulator, emerging evidence indicates that PTH also exerts effects through the central nervous system (CNS). This study investigated the neuropsychiatric impact of elevated PTH and explored potential CNS involvement using multiple murine models of hyperparathyroidism (HPT). Distinct behavioral phenotypes were observed across models, indicating that psychiatric symptoms vary depending on disease etiology and progression. The effects of hPTH(1-34), a clinically approved PTH analog, were further assessed in male and female mice. Under pharmacological concentrations, hPTH(1-34) enhanced locomotor activity in males but induced mild anxiety-like behavior in females. These behavioral changes in females were independent of the estrus cycle and were amplified by ovariectomy. Metabolic analysis indicates PTH affects the basic metabolism by inhibiting the respiratory exchange ratio, promotes the energy expenditure and locomotion without affecting the food consumption in a 48hr range. To further investigate the molecular effect of PTH in the brain, a PTH1R-Cre mouse line was generated to map PTH receptor-1 (PTH1R) expression. Widespread expression of PTH1R was detected across the brain, including in both neuronal and non-neuronal cell populations. These findings suggest that PTH may influence behavior through interactions with PTH1R-expressing cells in brain vasculature and circumventricular regions. However, further studies are warranted to define the specific brain nuclei and cell types involved in PTH-driven modulation of neurobehavioral function.

neuroscience↗

De novo recovery of Ghana virus, an African bat Henipavirus, reveals differential tropism and attenuated pathogenicity compared to Nipah virus

Henipaviruses (HNVs) like Nipah (NiV) and Hendra (HeV) viruses represent severe zoonotic threats. Ghana virus (GhV), identified in 2012, is the only African bat henipavirus with a near-complete genome assembly. However, without isolates in culture, GhV biology, pathogenicity, and zoonotic potential remain poorly understood. Using reverse genetics, we recovered a full-length infectious clone of GhV at BSL-4 following rational reconstruction of its incomplete 3' leader and modification of a non-canonical transcriptional initiation site. GhV demonstrated restricted receptor tropism (ephrin-B2 but not ephrin-B3) and distinct innate immune antagonism. Replication was attenuated in primary human cells, but was enhanced in bat cells. In Syrian golden hamsters, GhV infection caused no disease or mortality. Furthermore, a chimeric NiV encoding the GhV receptor-binding protein was completely attenuated in vivo, implicating ephrin-B3 receptor usage as a critical determinant of HNV pathogenesis. These findings elucidate GhV zoonotic potential and inform strategies for virus surveillance and control. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/679836v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@1e5addcorg.highwire.dtl.DTLVardef@1f96850org.highwire.dtl.DTLVardef@12f842eorg.highwire.dtl.DTLVardef@8f013c_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

Long-read sequencing-based atlas of tissue-specific expression of Drp1 transcript variants

Dynamin-related protein 1 (Drp1), encoded by DNM1L, is essential for mitochondrial fission, but its functional roles remain unclear due to isoform-specific effects from alternative splicing. Short-read RNA sequencing fails to resolve full-length isoforms involving distant exons, limiting our understanding. Here, we applied targeted long-read sequencing to profile full-length DNM1L transcripts in human left ventricle and iPSC-derived cardiomyocytes, recovering all annotated isoforms with conserved expression patterns and isoforms 1-4 being most abundant. Functional assays revealed that isoform abundance does not predict enzymatic activity. Extending this to six mouse tissues, we identified distinct, tissue-enriched expression profiles. Functional rescue in Drp1-knockout mouse embryonic fibroblasts showed isoform-dependent differences in mitochondrial fission. Isoforms lacking the A-insert (e.g., b and d) robustly rescued fission, while isoforms enriched in brain or muscle showed only partial rescue, suggesting exons 2 and 3 negatively regulate Drp1 activity. Our cross-species atlas integrates long-read transcriptomics with functional validation, revealing how isoform diversity underpins tissue-specific mitochondrial dynamics and physiological roles of Drp1. SummaryUsing long-read sequencing, we mapped full-length DNM1L/Dnm1l isoforms in human and mouse tissues, uncovering tissue-specific expression and isoform-dependent mitochondrial fission activity. This reveals how alternative splicing shapes Drp1 function, with implications for understanding its role in health and disease.

cell biology↗

Heterogeneous immune recovery after viral response through a dynamical model of feedback-driven persistence and clearance

Viral infections trigger complex immune responses with heterogeneous outcomes shaped by nonlinear feedbacks. An ordinary differential equation model is developed to investigate immune response dynamics during viral infection, incorporating six modules: viral load, innate immunity, cellular immunity, humoral immunity, immune suppression, and IL-6 levels. Bifurcation analysis reveals that under continuous viral exposure, when viral clearance rate and intrinsic viral death rate satisfy specific conditions, the system exhibits up to five stable equilibria. This indicates that different health and disease states may coexist depending on initial conditions, while severe inflammation mainly arises from strong activation of cellular immunity, highlighting the complexity of immune responses. Simulations of finite-time viral exposure demonstrate multi-timescale recovery characteristics: viral load and IL-6 levels decline rapidly, whereas humoral immune activation and immunosuppression show delayed and sustained patterns. Furthermore, analysis of infectious period and disease duration also indicates that during transition from early acute response to chronic disease, viral replication rate plays a critical role, while immune response intensity is sensitive to both viral clearance and immune self-activation. Subsystem analysis identifies the three-component subsystem of viral load, innate immunity, and cellular immunity as core drivers of bistability and oscillations, while humoral immunity, immune suppression, and IL-6 primarily modulate response amplitude and timing. This work establishes a theoretical framework for analyzing immune response and chronic risks through feedback dynamical modelling, providing insights for intervention strategies.

systems biology↗

Single-cell spatial mapping reveals dynamic bone marrow microarchitectural alterations and enhances clinical diagnostics in MDS

Myelodysplastic neoplasms (MDS) disrupt bone marrow hematopoiesis, yet clinical assessment relies largely on blast enumeration and qualitative morphology, which incompletely capture marrow architecture and disease state. We applied whole-slide multiplex immunofluorescence imaging with single-cell phenotyping to map bone marrow microarchitecture in MDS. Diagnostic biopsies (n=36), longitudinal treatment samples (n=29), precursor states (n=13), and normal controls (n=21) were analyzed, comprising >5 million spatially resolved cells. MDS marrow exhibited coordinated, genotype-imprinted architectural remodeling, including altered progenitor composition and spatial patterning, disrupted erythroid island organization, and displacement of hematopoietic stem and progenitor cells from perivascular niches. Interrogation of 82 cellular and spatial features yielded a composite Microarchitectural Perturbation Score (MDS-MAPS), derived from diagnostic samples and fixed prior to longitudinal analyses. In leave-one-patient-out cross-validation, MDS-MAPS discriminated remission from active disease more accurately than blast percentage (AUC 0.883 vs 0.660) and distinguished low-blast MDS from clonal cytopenia of undetermined significance (CCUS) (AUC 0.815). Mixed-effects modeling showed MAPS decreased in remission statistically independent of blast burden, with architectural normalization during remission and re-emergence at relapse. These findings define quantitative bone marrow architecture as a dynamic tissue-state biomarker that complements molecular and blast-based assessment in MDS.

pathology↗

Hippo/YAP1 Signaling Regulates the Oligodendrocyte-Astrocyte Fate Switch and Ependymal Gene Expression in Adult Spinal Cord Stem Cells

The adult mammalian spinal cord harbors ependymal cells that retain neural stem-cell properties. Although they possess a latent capacity to generate oligodendrocytes, these cells predominantly differentiate into astrocytes after injury. The molecular cues that govern their lineage commitment toward astrocytic versus oligodendroglial fates remain poorly defined. In this study, we addressed this gap in vitro by investigating the emergence of PDGFRA oligodendrocyte precursor cells (OPCs) in neurosphere cultures derived from adult spinal cord stem cells. We first observed that neurosphere cells exhibited a hybrid identity, co-expressing transcription factors of both astrocytic (NFIA, SOX9) and oligodendrocytic (OLIG1/2, SOX4, NKX2.2, TCF4) lineages. Upon differentiation, oligodendrocytic transcription factors were selectively maintained in OPCs but reduced in other cells. Using PdgfraH2B-GFP mice, we then isolated newly formed PDGFRA OPCs from neurospheres and performed multi-omic profiling. OPC formation was associated with the upregulation of chromatin remodelers and the downregulation of stem-cell markers such as EGFR, HES1, and TNC. Strikingly, OPC specification coincided with reduced expression of YAP1 and its partner TEAD1, key effectors of the Hippo pathway. Functional analyses revealed that YAP1 loss enhanced oligodendrocytic differentiation while reducing astrocytic and ependymal/cilia-associated gene expression. Conversely, constitutive YAP1 activation blocked differentiation into both lineages and promoted an ependymal-like transcriptional program, including upregulation of the ependymal marker CD24a and cilia-related proteins such as CROCC (Rootletin). Collectively, these findings uncover previously unrecognized roles for YAP1 in adult spinal cord stem-cell fate decisions and provide a molecular framework for leveraging these cells in regenerative strategies targeting spinal cord repair.

cell biology↗

Collagen-Based Tumor Spheroid Model for Investigating Tumor-Macrophage Interactions through Extracellular Matrix Remodeling

Macrophages in the tumor microenvironment (TME) can constitute up to 50% of tumor mass and play a critical role in cancer cell proliferation, invasion, and metastasis. While their contribution to extracellular matrix (ECM) degradation through matrix metalloproteinases (MMPs) has been explored, the role of other macrophage-derived factors in ECM remodeling and their impacts beyond degradation remain poorly understood. Here, we describe the development of a 3D collagen-based tumor spheroid model to investigate the impact of peripheral blood mononuclear cell (PBMC)-derived macrophages on cancer cell-ECM and cancer cell-macrophage interactions within the TME. We observed that cancer cells stimulated PBMC-derived macrophages into an M2-like phenotype and that tumor spheroid conditioned macrophages (TSCMs) shifted cancer cell populations toward phenotypes with greater invasion distances and reduced circularity, indicative of increased malignancy. Such observations can be explained by macrophage-mediated ECM remodeling. Specifically, we demonstrate that TSCMs secreted a variety of soluble factors that are known to contribute to ECM remodeling, including ECM degradation and fiber realignment. These processes collectively create a tumor-favoring environment by loosening the collagen matrix and aligning fibers that serve as invasion tracks for migrating tumor cells that facilitate cancer cell migration and invasion. This model provides a robust platform to study the interactions between cellular and non-cellular components in the TME and to identify the molecular mechanisms underlying cancer progression. These insights may aid in the development of novel therapeutic strategies targeting macrophage-mediated processes in cancer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/679587v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@17d1f9forg.highwire.dtl.DTLVardef@1a71500org.highwire.dtl.DTLVardef@53deeeorg.highwire.dtl.DTLVardef@510268_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Leveraging AI for facioscapulohumeral muscular dystrophy prediction and omics biomarker identification

Facioscapulohumeral muscular dystrophy (FSHD) is an autosomal dominant muscle disorder characterized by a complex genetic etiology, variable prognosis, and a lack of effective therapies. Previous studies have identified candidate protein and miRNA biomarkers using various profiling techniques, underscoring their potential for monitoring FSHD, assessing prognosis, and evaluating pharmacodynamic responses. However, the feasibility of applying machine learning (ML) models to predict FSHD using these molecular signatures has not been explored. In this study, we developed ML models to predict FSHD using a multi-omics dataset comprising protein abundance and miRNA expression profiles. Key predictive features were identified using Random Forest and the Support Vector Machine-Recursive Feature Elimination (SVM-RFE) methods. Performance evaluations demonstrated the robustness of the ML classifiers, with logistic regression consistently achieving the robust predictive accuracy in distinguishing FSHD from healthy conditions. Additionally, we assessed the predictive power of the identified features by comparing them with biomarker sets reported in previous studies. Our findings highlight the potential of AI to improve prediction accuracy and facilitate the cost- and time-efficient strategy for identifying FSHD biomarker candidates, even with limited sample sizes in the context of rare diseases.

bioinformatics↗

Acidic transcription factors position the genome at nuclear speckles through transcription dependent and independent mechanisms

A small fraction of the genome positions reproducibly near nuclear speckles (NS), increasing expression and/or splicing efficiency of NS-associated genes. How specific genomic regions target to NS remains unclear. Here, we demonstrate that establishment of genome-wide NS-association occurs independent of active transcription. We show that DNA sequences derived from NS-associated regions integrated as transgenes autonomously target to NS. By systematically dissecting one such genomic locus, the COL1A1-SGCA locus, we identified redundant NS-targeting cis regulatory elements, including a [~]600 bp fragment with 17 binding motifs for 8 transcription factors (TFs). Four NS-targeting TFs within this fragment contain acidic activation domains (AADs) that provide both chromatin-context and transcription-dependent NS-targeting, a property that appears common among several other tested AADs. A subset of acidic activator TFs contain an additional, transcription-independent NS-targeting activity. Our findings establish diverse and partially redundant NS-targeting activities, which may facilitate dynamic gene positioning at NS periphery for context-specific transcriptional responses.

cell biology↗

Disrupted Regional Dynamics of Structure-Function Connectivity Coupling in Euthymic Bipolar Disorder

BackgroundBipolar disorder (BD) is characterized by persistent disturbances in emotional regulation and cognitive function, even during euthymia, yet its neural mechanisms remain unclear. Given evidence of structural and dynamic functional connectivity (dFC) abnormalities in BD, investigating dynamic structure-function connectivity coupling (SC-FC coupling) may provide insights into the pathophysiology of the disorder. MethodsDiffusion tensor imaging and resting-state fMRI data were collected from 61 euthymic BD-I patients and 54 healthy controls (HC). Structural connectivity was derived using probabilistic tractography, and dFC was estimated with a sliding-window approach. SC-FC coupling was quantified as the extent to which structural features predicted dFC using multivariate linear regression. Abnormal SC-FC coupling in BD was assessed at both the network and regional levels, relative to HC. Over time, SC-FC coupling was categorized into high- and low-coupling states, and dynamic state analyses of dwell time, occurrence rate, and transition probabilities were performed in the affected brain regions. ResultsNetwork-level analyses indicated that BD exhibits lower SC-FC coupling in subcortical regions compared with HC. Regional analyses revealed significantly reduced dynamic SC-FC coupling in two thalamic subregions (medial posterior and rostral temporal) and in the right primary somatosensory cortex in BD compared to HC. Dynamic analyses further demonstrated thalamic instability: BD showed shorter dwell times in high-coupling states, increased occurrence of low-coupling states, and more frequent high-to-low coupling transitions than HC. These abnormalities suggest that BD is characterized by disrupted structure-function integration and unstable thalamocortical dynamics. ConclusionOur findings reveal regional abnormalities in SC-FC coupling dynamics in BD, indicating persistent dysfunction of structure-function integration during euthymia. Dynamic coupling measures may provide preliminary insights into potential biomarkers for disease monitoring.

neuroscience↗

scRGP: Prediction of Single-cell Genetic Perturbation Transcriptional Responses based on Rank in Multiple Scenarios

Single-cell perturbation sequencing technologies (e.g., Perturb-seq, CROP-seq), which integrate CRISPR-based gene editing with single-cell transcriptome profiling, have revolutionized the analysis of transcriptomic changes induced by genetic perturbations at single-cell resolution. These technologies serve as a powerful tool for identifying key genes that inhibit tumor growth or reverse cancer cell phenotypes. However, they face two major challenges: data explosion with high experimental costs, and data complexity characterized by high dimensionality, noise, sparsity, and heterogeneity. To address these challenges, we developed the single-cell Rank-based Genetic Perturbation predictor (scRGP), the first deep learning framework leveraging gene expression rank-order information for this task. scRGP demonstrates superior performance in terms of robustness, cross-cell-line perturbation prediction, and high-throughput screening. Specifically, scRGP achieves an approximately 10-16 percentage points improvement in Pearson correlation coefficient (PCC) over state-of-the-art methods (e.g., GEARS and scFoundation) for single- and double-gene perturbation predictions, while also extending prediction capability to triple-gene perturbations. Furthermore, it outperforms these methods by approximately 5-9 percentage points in cross-cell-line predictions. These advancements promise to shift the paradigm of single-cell perturbation studies from experiment-driven to computation-driven approaches, providing new support for functional genomics and precision medicine.

bioinformatics↗

Glycan recognition by a plant sentinel immune receptor

Pathogens target and degrade the extracellular matrix surrounding plant cells. A central question is how cell wall-derived damage-associated molecular patterns (DAMPs) are recognized and integrated to trigger immune responses. We address this question by determining the structure of the multidomain receptor IGP1 in both apo form and bound to the cellulose-derived DAMP cellotriose. Structural analyses reveal that constitutive Leucine Rich Repeat-malectin interactions preconfigure IGP1 for ligand recognition and that the receptor features a highly specific sugar-binding pocket in the LRR domain capable of distinguishing fine variations in glycan structures. By directly sensing cello-oligomers, IGP1 acts as a cell wall sentinel that links pathogen-induced wall degradation to immune alerting, equipping plants to mount rapid and robust defense responses.

plant biology↗

Interaction of Carbamoyl-Phosphate Synthase 1 with Agmatinase in the Liver of Torpid Bats

Mammalian torpor imposes unique metabolic constraints, yet the mechanisms of nitrogen metabolism during this state remain unclear. In this study, we show that the urea cycle is selectively regulated rather than broadly suppressed in torpid bats. A significantly increased abundance of carbamoyl-phosphate synthase 1 (CPS1) maintained its functional capacity during torpor and arousal in Myotis ricketti. Proteomic analyses and confocal microscopy identified a specific association and co-localization between CPS1 and agmatinase (AGMAT), an ATP-independent enzyme involved in nitrogen metabolism. Co-localization of CPS1 and AGMAT was also observed in torpid Rhinolophus ferrumequinum, a phylogenetically distant species. Fluorescence resonance energy transfer (FRET) further supported an indirect CPS1-AGMAT interaction. Most urea cycle enzymes exhibited stable or only moderately reduced expression during bat torpor, and metabolic profiling demonstrated sustained nitrogen flux. Together, these findings reveal a conserved adaptive mechanism that maintains urea cycle function, potentially enhancing osmotic stability and energy efficiency during prolonged fasting and water scarcity.

zoology↗

Programmable Aptamer-Embedded Circular RNAs for Targeted Antigen-Presenting Cells Immunotherapy

The targeted delivery of mRNA to specific cell types in vivo remains a major unmet need in mRNA-based therapeutics. Conventional strategies rely on nanocarriers engineered with various modifications. However, these exogenous materials could cause adverse reactions, and their complex manufacturing processes often hinder clinical application. By leveraging the innate programmability of RNA sequences, we herein report a carrier-free, scalable, and programmable aptamer-embedded circular RNAs (Apt-circRNAs) design that confers targeting capability through the strategic incorporation of different aptamers at varying densities, while retaining circular RNA stability and protein production capability. Experimental results show that antigen-loaded Apt-circRNAs enable targeted delivery to antigen-presenting cells (APCs), drive endogenous antigen expression, activate antigen-specific T cells, and elicit potent immune responses that mediate clearance of both early-and late-stage tumors in mouse models. In humanized models of colorectal cancer, the combination of Apt-circRNA and PD-1 blockade produced synergistic antitumor effects and significantly reshaped the tumor microenvironment. In a first-in-human (FIH) clinical trial, Apt-circRNA vaccine encoding KRAS G12D/G12V neoantigens exhibited a favorable safety profile and induced robust immune activation, T cell mobilization, and neoantigen-specific immune responses. With this study, we have established a new paradigm in carrier-free, APC-targeted RNA vaccine design, offering a safe and effective platform for next-generation cancer immunotherapy.

bioengineering↗