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Zhao, B.

Publications and source records attributed to Zhao, B..

At least 37 records · Page 2Linked to original sources

A Neuroimmune Feedforward Circuit Linking REM Sleep with Stress-Related Behavioral Susceptibility

Rapid eye movement (REM) sleep is strongly associated with stress susceptibility, yet the underlying neuroimmune mechanisms remain unclear, limiting therapeutic targeting. Here, we identify a pathway by which chronic stress increases splenic nerve activity, promoting recruitment of circulating monocytes to the brain through the choroid plexus. In the external globus pallidus (GPe), recruited monocytes drive regionally restricted microglial remodeling toward a pro-inflammatory state. These microglia, in turn, potentiate the sustained excitability of parvalbumin-positive (PV) neurons via IL6-gp130 signaling. Functionally, activity of GPe PV neurons during REM sleep, but not wakefulness, bidirectionally regulates anxiety-like and defensive behaviors, establishing REM sleep as a critical state through which this neuroimmune circuit governs behavioral susceptibility. Together, these findings establish a neuroimmune feedforward mechanism linking peripheral immune activation to neuronal dysregulation underlying behavioral abnormalities, and position REM sleep as a predictive and actionable physiological entry point for mitigating stress-related emotional dysregulation.

neuroscience↗

Longitudinal Gut Microbiome Dynamics in Human CTLA-4 pathway Deficiencies: A One-Year Interventional Metagenomic Study

BackgroundCTLA-4 haploinsufficiency (CHAI) and LRBA deficiency cause severe immune dysregulation including enteropathy. Abatacept, a CTLA-4-immunoglobulin fusion protein, targets the underlying pathway defect, but its impact on the gut microbiome remains undefined. MethodsWe performed longitudinal shotgun metagenomics (MetaPhlAn4/HUMAnN3) on stool samples from patients enrolled in the ABACHAI clinical trial, collected at pre-treatment baseline and months 3, 6, and 12. Healthy individuals from the same household served as controls. Compositional and functional microbiome changes were analyzed using linear mixed-effects models and MaAsLin3, and correlated with organ-specific CHAI Morbidity Scores. ResultsAt baseline, patients showed significantly reduced alpha diversity (Shannon index, p=0.0029) and distinct community composition (PERMANOVA p=0.0001) compared to healthy controls, characterised by enrichment of oral-associated taxa (Veillonella, Streptococcus, Lacrimispora) and depletion of butyrate-producing commensals (Ruminococcus, Oscillibacter, Dysosmobacter). Functionally, the baseline metagenome exhibited broad reductions in amino acid and SCFA biosynthesis alongside enrichment of purine salvage and folate pathways. During treatment, beta diversity shifted significantly with treatment duration (Aitchison PERMANOVA R2=0.103, p=0.015), with within-patient community turnover peaking at month 6 ({Delta}=0.216, p=0.006). Longitudinal analyses demonstrated progressive decreases in disease-enriched taxa (Veillonella, Lacrimispora) and recovery of commensals (Collinsella, Adlercreutzia). FDR-significant reductions in microbial folate and purine biosynthesis pathways were observed over the treatment course. Gut CHAI domain severity correlated inversely with butyrate-producer abundance and positively with oral taxon enrichment. ConclusionIn CTLA-4 pathway insufficiency patients, abatacept therapy is associated with an improvement of enteropathy and a progressive, measurable gut microbiome restructuring, positioning microbiome dynamics as a candidate biomarker of treatment response in this monogenic immune dysregulation disorder.

immunology↗

BiomniBench: Process-level Evaluation of LLM Agents for Real-world Biomedical Research

LLM agents now perform real biomedical research, but evaluating them rigorously is hard. Outcome-only benchmarks fail in two ways. First, a correct final answer can come from memorization, reward hacking, or wrong reasoning that produces the right number by chance. Second, valid alternative analyses are marked wrong simply because they differ from the reference. We introduce BiomniBench, a process-level evaluation framework that scores the full agent trajectory against expert-designed, task-specific rubrics. Our first release, BiomniBench-DA, contains 100 data-analysis tasks across 17 task types, 5 disease areas, and a general-biology category, each based on a paper from journals such as Nature, Cell, and Science and co-developed with an original author or a domain expert. Benchmarking frontier and open-weight models across four agent harnesses reveals three findings. Frontier and open-weight bases cluster within a few points of each other, with substantial headroom for all models. The agent harness shifts scores by more than the gap between successive model generations. Agents reliably ground claims in real sources yet consistently fall short on method selection, biological interpretation, and scientific reasoning. BiomniBench is the first process-level benchmark for LLM agents in biomedical research, providing the dimension-level diagnostics that outcome scoring cannot. Datasethuggingface.co/datasets/phylobio/BiomniBench-DA

bioinformatics↗

Physics-informed self-supervised learning enables spectra-free multiplexed imaging on standard fluorescence microscopes

Multiplexed fluorescence imaging is limited by spectral overlap and the small number of excitation or emission channels available on standard microscopes, restricting most laboratories to low-plex imaging. Here we introduce physics-informed spectra-free multiplexed imaging (PhySMI), a self-supervised framework for underdetermined spectral unmixing that enables highly multiplexed imaging without dense spectral measurements after training. By embedding the spectral forward-mixing process into a self-consistent architecture, PhySMI recovers physically plausible source decompositions from unlabeled data without paired ground-truth labels while suppressing stochastic acquisition noise. PhySMI resolves five subcellular structures from only three excitation channels, overcoming the conventional channel-number limit while preserving spectral fidelity and minimizing crosstalk (<0.5%). The framework also generalizes across imaging systems, enabling zero-shot deployment on standard fluorescence microscopes. In live cells, PhySMI enables fast five-color imaging of dynamic multi-organelle interactions with improved temporal resolution and reduced photobleaching and phototoxicity relative to conventional spectral imaging. These results establish a general strategy for physics-informed learning in underdetermined imaging inverse problems and represent a step toward a general-purpose framework for highly multiplexed fluorescence imaging on standard microscopy platforms.

biophysics↗

Structural Insights into the Integration of Temperature and pH by Sperm Calcium Channel CatSper

The cation channel of sperm (CatSper) is a sperm-specific calcium channel essential for male fertility across metazoans. Its activation is tightly restricted to defined physiological contexts, including intracellular alkalinization, membrane depolarization, and elevated temperature. The structural and evolutionary mechanisms underlying this polymodal integration remain poorly understood, in part due to the architectural complexity of CatSper, a [~]15-subunit assembly organized in zigzag arrays along the sperm flagellum. Here we combine comparative genomics across 47 species with AlphaFold3-based modeling and evolutionary sequence-structure analyses to uncover a mechanism for temperature and pH integration. We identify the pore-forming subunit CatSper1 as an evolutionary hotspot exhibiting exceptional divergence in its N-terminal domain. Phylogenetic analysis shows that N-terminal length and histidine enrichment scale with species-specific fertilization temperatures, suggesting adaptive tuning of physicochemical sensitivity. Structural modeling indicates that conserved surface-exposed histidine clusters form inter-complex coupling interfaces between adjacent CatSper assemblies positioned near the dominant voltage-sensing module. Functional validation using electrophysiology and calcium imaging in mouse sperm shows that capacitation-associated partial removal of the CatSper1 N-terminus selectively impairs temperature-dependent activation. Together, these findings support a model in which temperature-dependent histidine deprotonation modulates supramolecular CatSper assembly to coordinate channel activation.

physiology↗

Top-down regulation of ingestive behavior fragmentation

AbstractIn natural environments, animals rarely feed continuously to satiation; instead, feeding occurs in brief bouts separated by pauses. This fragmentation is thought to balance internal drives with external demands, yet its underlying neural mechanisms remain unclear. By combining bidirectional neural activity mapping and behavioral phenotyping, we identify a projection from the dorsal subiculum (dSub) of the hippocampus to the mammillary body (MB) as a key regulator of this fragmentation. Activity along the dSub-MB pathway tracks and gates the duration of individual feeding bouts, independent of homeostatic state. A simple bistable attractor model captures both dSub-MB neural dynamics and associated behaviors across optogenetic and behavioral perturbations. Together, these findings identify a top-down circuit mechanism that implements action selection in a naturalistic setting.

neuroscience↗

Epigenetic control of S100A8/A9-driven monocytic inflammation licenses anti-leukemic functionality of immature NK cells during hematopoietic stem cell differentiation.

Inflammation is a key driver of hematopoietic dysfunction in myeloid malignancies, but its role in the context of hypomethylating therapy remains incompletely understood. Although 5-Azacytidine is used posttransplant in high-risk myelodysplastic syndrome (MDS), only 50% of patients show a clinical response. We provide evidence that inherent inflammatory properties of healthy donor CD34+ stem cells exist that are likely to contribute to the "response" seen in MDS patients. These are linked to epigenetic priming of the myeloid niche, resulting in S100A8/A9-driven inflammatory program that promotes functionality of immature NK cells. Using in vitro differentiation systems, multi-omic profiling, and a S100A9-/- mouse model, we find that 5-AzaC modulates inflammatory transcriptional programs through epigenetic rewiring of upstream regulatory elements. Loss of S100A9 disrupts myeloid differentiation, impairs NK cell maturation, and alters key developmental regulators including CEBPB, JUN, and NFIL3. In vivo, 5-AzaC restores these defects and primes NK cells in a time- and context-dependent manner. Re-analysis of the published Australian MDS/CMML cohort shows that "responders" display increased S100A8/A9 expression together with enhanced IFN-{gamma}, IL6-JAK-STAT3, and TNF signaling. These findings suggest that inflammatory myeloid programs may serve as predictive biomarkers and therapeutic targets to enhance NK cell-mediated graft-versus-leukemia activity posttransplant. SummaryO_LIWe provide compelling evidence that inherent properties of healthy donor CD34+ hematopoietic stem cells (SCs) exist that are likely to contribute to the "response" seen upon pre-emptive posttransplant 5-AzaC therapy of patients with high-risk myelodysplastic syndrome (MDS). C_LIO_LIThese properties are linked to a distinct form of epigenetic plasticity at upstream-located transcription factor (TF) binding sites. This may indirectly contribute to acute S100A8/A9-driven inflammation, which is demonstrable in distinct monocyte subsets and, importantly, also in NK cells thereby determining the characteristics of inflammatory monocyte-NK cell crosstalk. C_LIO_LIMice with a targeted deletion of S100A9 fail to upregulate CEBPB / JUN and NFIL3 which results in impaired myeloid priming and dysfunctional NK cell maturation, respectively. C_LIO_LIRe-analysis of the Australian MDS/CMML cohort confirms that MDS patients that "respond" to 5-AzaC exhibit activated IFN-{gamma}, IL6-JAK-STAT3, and TNF-signaling pathways in the context of upregulated S100A8/A9 after six months of treatment. C_LIO_LIOur study indicates that screening of healthy donors SCs for specific inflammatory markers in early developing monocytes could be used as a marker to predict which donor will have the potential of generating a S100A8/A9-driven inflammatory response. This may help identify patients with MDS as well as AML who are likely to benefit from low-dose, short-term 5-AzaC therapy as early as day 7 after transplantation, potentially resulting in increased graft-versus-leukemia (GvL) activity. C_LI

immunology↗

Alveolar-Basal Intermediates Drive Pulmonary Fibrosis via Coordination of a Pro-Fibrotic Signaling Niche in Silicosis

Pulmonary fibrosis is a progressive, terminal disease with high morbidity. Existing therapeutics slow disease progression but do not reverse fibrotic lung remodeling, accentuating the importance of identifying cellular mechanisms that underlie lung fibrosis. Recent literature suggests that alveolar type 2 (AT2) progenitors undergo transition to stressed Krt8high cells following lung injury. Accumulation of stressed Krt8high cells is a hallmark of acute and chronic lung diseases, particularly pulmonary fibrosis. Whether Krt8high cells actively participate in the fibrotic process or are simply an epiphenomenon of lung injury remains unclear. We previously described a genetic model in which deletion of the lung transcription factor Nkx2-1 in the AT2 progenitor lineage induces AT2 progenitors to transition to the Krt8high cell state. Here, we use this tractable genetic model to directly test the pathogenic influence of Krt8high cells. We show that Nkx2-1-/- Krt8high cells accumulate in a Krt7high/Krt19high/Krt17neg alveolar-basal intermediate cell state (ABI). Following induction of fibrotic lung injury with inhaled silica, ABI enter a unique inflammatory state (iABI) that drives fibrotic remodeling via coordination of a fibrotic signaling niche containing inflammatory alveolar fibroblasts (iAF) and pulmonary osteoclast-like cells (POLC). Computational analysis predicts that iABI elaborate pro-inflammatory signals which increase matrix deposition by iAF and induce differentiation of interstitial macrophages to a profibrotic POLC variant. Niche mapping demonstrates that iABI, iAF, and POLCs interact within newly formed fibrotic niches in the lung alveolus in mice with pre-existing accumulation of ABI. These data provide direct evidence that ABI accumulation in fibrotic lung disease is pathogenic.

systems biology↗

The chromatin remodeling complex PRC2 safeguards cell fate in alveolar epithelial type 2 cells

Maintenance of the gas exchange surface throughout life and regeneration of the lung after injury requires tight regulation of epithelial cell fate and function. Alveolar epithelial type 2 (AT2) cells serve as the progenitors of the distal epithelium, differentiating into alveolar epithelial type 1 (AT1) cells or proliferating to maintain the quorum of AT2 cells. Here we describe the role of the chromatin regulator polycomb repressive complex 2 (PRC2) in the maintenance of AT2 cell fate in the adult alveolus. Cross-species single-cell transcriptomic analyses identified PRC2 activation in proliferative AT2 populations. PRC2 loss of function in human iPSC-derived AT2 (iAT2) cells and primary murine AT2 cells in vitro resulted in loss of AT2 cell state and emergence of programs reminiscent of alveolar-basal intermediate (ABI) cell states, while overexpression of the PRC2 enzymatic component EZH2 in human iAT2 cells augmented the AT2 cell program. Genetic loss of PRC2 function in the AT2 lineage in adult mice in vivo led to emphysematous remodeling of the lung and induced a time-dependent series of transitions of AT2 cells through an alveolar-basal intermediate (ABI) state into Krt5+ basal-like cells. Comparison of murine ABI cells to human disease-associated ABI cells demonstrates de-repression of canonical PRC2 targets during transition to ABI and basal-like states in human fibrosis, implicating PRC2 is a conserved regulator of AT2 cell fate. Together, these findings define PRC2 complex function during AT2 cell self-renewal as a critical guardrail for maintaining epithelial cell fate in the adult lung.

genetics↗

Protein-guided RNA barcoding links transcriptomes to synaptic architecture

Mammalian brain function relies on the precise synaptic architecture of diverse cell types, yet scalable methods for linking a neurons transcriptomic profile to its neuroanatomy remain limited. We present Synapse-seq, an in vivo strategy in which cell-identifying barcoded mRNAs are routed to subcellular compartments via targeting proteins and detected by single-cell and spatial genomics. Using AAV delivery for minimal perturbation of gene expression, we directed barcodes to presynaptic terminals (via synaptophysin) in four distinct circuits, or to postsynaptic sites (via nanobodies to endogenous PSD95) of hippocampal excitatory neurons. In the mouse primary visual cortex, presynaptic Synapse-seq recovered known long-range projections and discovered cortical layer subtypes with distinct thalamic innervation. In the anterior cortex, we elucidated simple topographic rules of corticostriatal innervation: intratelencephalic neurons followed a continuous depth-to-target gradient, while extratelencephalic neurons exhibited striatal collaterals that spatially correlated with medullary innervation. Finally, postsynaptic barcoding of excitatory neurons revealed cell type-specific variation in dendritic architectures across and within hippocampal subfields. These data establish Synapse-seq as a versatile, genomics-based approach for the integrated definition of molecular identity and synaptic organization across mammalian brains.

neuroscience↗

Integrative analysis of papain-like cysteine proteases and cystatins reveals stress-dependent regulatory modules in Arabidopsis thaliana

Plant papain-like cysteine proteases (PLCPs) and cystatins constitute a major protease-inhibitor system that contributes to plant signaling and responses to biotic and abiotic stress. Although the Arabidopsis genome encodes 31 predicted PLCPs and 7 cystatins, their coordinated regulation has not been systematically evaluated across major stress conditions. Here, we reprocessed and integrated AtGenExpress microarray datasets to analyze the expression patterns of 28 PLCPs and seven cystatins in response to bacterial infection (virulent and avirulent Pseudomonas syringae), wounding, and drought stress. In parallel, we performed in vitro enzyme activity assays to assess inhibition specificity of seven Arabidopsis cystatins against five abundantly expressed PLCPs. Finally, we used the support vector machine (SVM) package e1071 in R to integrate co-expression and inhibition data and to generate a hypothesis-generating PLCP-cystatin interaction network. Together, these analyses suggest that Arabidopsis deploys distinct PLCP and cystatin gene subsets in response to virulent versus avirulent bacterial infection, and that transcriptional modules associated with bacterial infection and wounding are largely distinct. In contrast, several drought-associated PLCP-cystatin modules overlap with those associated with basal defense, suggesting partially shared regulatory programs across abiotic and biotic stress.

plant biology↗

Template-based RNA structure prediction advanced through a blind code competition

Automatically predicting RNA 3D structure from sequence remains an unsolved challenge in biology and biotechnology. Here, we describe a Kaggle code competition engaging over 1700 teams and 43 previously unreleased structures to tackle this challenge. The top three submitted algorithms achieved scores within statistical error of the winners of the recent CASP16 competition. Unexpectedly, the top Kaggle strategy involved a pipeline for discovering 3D templates, without the use of deep learning. We integrated this template-modeling pipeline and other Kaggle strategies to develop a single model RNAPro that retrospectively outperformed individual Kaggle models on the same test set. These results suggest a growing importance of template-based modeling in RNA structure prediction.

biophysics↗

MindSight: A Bio-Inspired Neural Architecture for Visual Restoration via Cortical Electrical Stimulation

Visual impairment is a common condition worldwide, and cortical electrical stimulation is one of the approaches to aid in visual restoration. However, existing methods suffer from limited precision, flexibility, and generalization in generating the desired visual perception. In this paper, we propose a novel deep learning-based algorithm for cortical electrical stimulation, named "MindSight," aimed at enhancing the clarity and accuracy of induced visual perceptions. Our framework introduces three key innovations: (1) A differentiable biophysical model simulating cortical state transitions under electrical stimulation, enabling end-to-end training; (2) A dual-path training architecture combining neural decoding fidelity with phosphene simulation constraints; (3) An attention-guided background gated network for input filtration and, a multi-channel activation constraint to ensure the effectiveness of electrical stimulation. We validated our approach through novel experiments with macaque monkeys, demonstrating superior performance in visual perception tasks. These results highlight the potential of our approach in assisting individuals with visual impairments. Codehttps://github.com/zyj9902/MindSight

bioengineering↗

A multi-tissue atlas of genetic regulatory effects in sheep

Characterizing the impact of genomic variants on genome function and ultimately complex traits in livestock is essential for the development of sustainable precision agriculture and comparative genomics. Here, as part of the Farm animal Genotype-Tissue Expression (FarmGTEx) project, we present the pilot phase of the SheepGTEx resource through analyzing 6,761 RNA-sequencing samples of 51 primary tissues in a multi-breed population of sheep. We identify millions of regulatory variants associated with seven types of molecular phenotypes, and fine-map 322,468 primary and 114,017 non-primary effects, revealing a high degree of regulatory allelic heterogeneity. We systematically characterize the pleiotropic effects of these variants on molecular phenotypes, assess their context-specific regulatory patterns across tissues, breeds, sexes, and developmental stages, as well as explore their evolutionary constraints across mammals. Finally, we demonstrate the substantial potential of the SheepGTEx resource (https://sheepgtex.farmgtex.org), by providing examples of regulatory mechanisms underpinning 34 complex traits, population divergence between European and Asian breeds, and adaptive evolution in sheep over the past ten millennia.

genomics↗

Epstein-Barr Virus Encoded lncRNAs Control the Viral Lytic Switch

Epstein-Barr virus (EBV) uses a biphasic lifecycle, switching between latent and lytic phases to persistently infect most adults. Latency is observed in most tumor cells of the 200,000 EBV-associated cancers/year. EBV reactivation is increasingly implicated in autoimmune diseases, including multiple sclerosis. However, mechanisms that regulate EBV reactivation have remained incompletely understood. Here, we leveraged multi-omic approaches to reveal the existence of pro-latency and a pro-lytic viral long noncoding RNAs (lncRNAs) that counter-regulate the lytic switch. Known reactivation triggers rapidly induced expression of the pro-lytic lncRNA, which encodes an RNA G-quadruplex that mediated its interaction with CTCF. The pro-lytic lncRNA occupies viral origin of lytic replication enhancers and promotes their looping to the immediate early lytic promoter to trigger reactivation. The pro-latency lncRNA duplexes with the pro-lytic RNA to impede its interactions with CTCF. These studies lay a foundation for therapeutic approaches to manipulate the EBV lytic switch.

microbiology↗

Early cell autonomous and niche-mediated alveolar epithelial response to influenza infection in primary lung organoids

Influenza A virus (IAV) infection is a significant cause of morbidity and mortality for patients worldwide. Alveolar type 2 (AT2) cells are the preferential target of IAV as part of the pathogenesis of viral pneumonia and acute respiratory distress syndrome (ARDS). Early IAV infection of alveolar cells has been challenging to model both in vitro and in vivo. To address this challenge, we used a combination of murine and human primary alveolar organoids to define methods for robust IAV infection and evaluated cell-autonomous consequences of IAV using a temporal series of multiome paired single nuclei RNA/ATAC sequencing. Infected AT2 cells undergo conserved changes defined by early loss of surfactant secretion, decreased lipid biogenesis, a rapid burst of antiviral response, and late viral-mediated suppression. Surprisingly, uninfected AT2 cells undergo substantial transcriptional and epigenomic changes in IAV-treated cultures, leading to transition to damage-associated cell states within hours via a process driven by the inflammatory milieu of murine organoids. Together, these data provide new methods for high-fidelity modeling of IAV infection in alveolar cells and define a conserved AT2 cell response signature to IAV with implications for ARDS pathogenesis.

systems biology↗

Multi-platform framework for mapping somatic retrotransposition in human tissues

Mobile element insertions (MEI) shape the human genome in both germline and somatic tissues. While inherited MEIs are well characterized, mapping somatic MEIs (sMEI) in non-cancer tissues remains challenging due to their low allelic fraction and repetitive nature. We established an integrative framework for sMEI analysis leveraging modern sequencing technologies and analytical innovations. We first benchmarked sMEI detection and demonstrated advantages of long-read and MEI-targeted sequencing for ultra-low-frequency events using a mixture of well-established cell lines. We then showed that haplotype phasing and donor-specific assemblies refine sMEI detection, effectively distinguishing from germline and false signals in in-silico tumor-normal mixtures. We further developed a source-tracing strategy based on internal sequence variation, expanding the catalogue of active source elements beyond traditional transduction-based methods. Applying this framework to donor tissues, we identified 18 rare somatic L1 insertions, revealing structural and source diversity. Our work provides a foundational framework and biological insight into sMEIs.

genomics↗

Acute kidney injury disrupts cardiac remodeling via SerpinA3N

Cardiorenal syndrome type 3 (CRS-3) also known as acute reno-cardiac syndrome, refers to a condition where acute kidney injury (AKI) leads to acute cardiac dysfunction or injury. The underlying mechanisms have not been elucidated. In the current study, we examined the potential mechanisms for the development of myocardial pro-fibrotic factors and cardiac remodeling in C57BL/6J mice after AKI. The mice were subjected to bilateral pedicle clamping for 30 min followed by 24 h of reperfusion. Heart tissue was collected from control (Ctrl) and AKI mice and subjected to proteomic analysis by liquid chromatography-mass spectrometry (LC-MS) and differential mRNA expression analysis by RNA-seq. Cardiac tissue was collected to assess serine protease activity, RNA, protein and cytokine expression. The results indicate that AKI significantly upregulated SerpinA3N in the heart which was negatively correlated with serine protease (Granzyme B) activity. Further, AKI induced the development of several pro-fibrotic factors, induced mitochondrial dysfunction and increased inflammation. Finally, using H9C2 cells we demonstrated that inhibiting SerpinA3N with XAV939 increased Granzyme B activity. Thus, this study suggests that AKI leads to the development of pro-fibrotic factors in the heart and disrupts cardiac remodeling by SerpinA3N mediated inhibition of serine protease Granzyme B activity. Decreased SerpinA3N expression in the heart followed by AKI could lead to a more balanced extracellular matrix (ECM) composition in the heart with an alleviated pro-fibrotic response.

molecular biology↗