Biology subjects

Yao, Z.

Publications and source records attributed to Yao, Z..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

A class of COPI adaptors regulates processing of transmembrane receptors by reinforcing their Golgi retention

Many transmembrane (TM) receptors undergo essential post-translational modification in the Golgi prior to their delivery to the plasma membrane. Whether and how the passage and accompanied modification of these receptors across the Golgi is controlled remains unclear. Here, we show that leptin receptor overlapping transcript (LEPROT) and LEPROT-like 1 (LEPROTL1) regulate receptor activation by securing their sufficient Golgi retention. LEPROTs localize to cis and medial Golgi in a COPI-dependent manner. Deletion of LEPROTs in cells causes expedited release of receptors transiting through the Golgi, and leakage of some Golgi-enriched proteins into the endomembrane compartments. LEPROTs interact directly with COPI coats and simultaneously engage a variety of integral membrane proteins with relatively long TM domains at acidic pH. Loss of LEPROTs dysregulates receptor activity, including that of EGFR and TFRC, due to defective modification. Collectively, LEPROTs serve as a class of COPI adaptors for TM receptors, ensuring adequate preparation, which is vital for subsequent action on the plasma membrane.

cell biology↗

bioRxiv2025

Gene expression plasticity in the antibiotic environment is predominantly adaptive in the budding yeast

Phenotypic plasticity plays a key role in adaptation to fluctuating environments. However, its evolutionary significance remains debated, with conflicting views on whether it is actively maintained by natural selection or a neutral consequence of molecular constraints. In this study, we investigate the evolutionary role of gene expression plasticity in yeast populations exposed to antibiotic and osmotic stress. Using mutation accumulation (MA) lines to separate the effects of natural selection from genetic drift, we compare gene expression responses (referred to as plastic change) between 22 natural strains, 21 MA lines, and their progenitor under non-stressed and stressed conditions. Our results show that, in the antibiotic environment, gene expression plasticity is selectively maintained, as indicated by its reduction in magnititude, reversal in directionality, and loss of stress-responsive pathways in MA lines. In contrast, plasticity in the osmotic stress condition appears neutral, with random variation across MA lines. This study provides direct evidence for the adaptive role of gene expression plasticity in the antibiotic environment and sheds light on its molecular mechanisms.

evolutionary biology↗

bioRxiv2025

CellScope: High-Performance Cell Atlas Workflow with Tree-Structured Representation

Single-cell sequencing enables comprehensive profiling of individual cells, revealing cellular heterogeneity and function with unprecedented resolution. However, current analysis frameworks lack the ability to simultaneously explore and visualize cellular hierarchies at multiple biological levels. To address these limitations, we present CellScope, an innovative framework for constructing high-resolution cell atlases at multiple clustering levels. CellScope employs a two-step manifold fitting process for gene selection and noise reduction, followed by agglomerative clustering, and uniquely integrates UMAP visualization with hierarchical clustering to intuitively represent cellular relationships simultaneously at multiple levels--such as cell lineage, cell type, and cell subtype levels. Compared to established pipelines such as Seurat and Scanpy, CellScope comprehensively improves clustering performance, visualization clarity, computational efficiency, and algorithm interpretability, while reducing dependence on hyperparameters across a multitude of single-cell datasets. Most importantly, it can reveal new biological insights that other contemporary methods are unable to detect, thereby deepening our understanding of cellular heterogeneity and function, and potentially informing disease research.

bioinformatics↗

bioRxiv2024

Antibiotics that Kill Gram-negative Bacteria by Restructuring the Outer Membrane Protein BamA

The essential outer membrane protein insertase BamA has recently emerged as a valid target for killing Gram-negative bacteria. Bamabactins, competitive inhibitors targeting the lateral gate of BamA, disrupt the substrate folding process, compromise the outer membrane integrity, and lead to bacterial cell death. Despite their promise, the full pharmacological potential of bamabactins remains underexploited. We applied phylogenetic genome mining and synthetic biology to identify xenorceptides which selectively kill Enterobacteriaceae. Mode of action studies show that xenorceptide A2 integrates itself into BamA as an additional {beta}-strand between {beta}1 and {beta}16 at the lateral gate, inducing a conformation of BamA that has not been observed before. Biological evaluation of xenorceptide A2 shows promising activity in vitro and in vivo, and limited resistance which differentiates it from other bamabactin antibiotics. Our data show that the chemical diversity of bamabactins is far greater than previously recognized and thus an attractive source for antibiotic discovery.

microbiology↗

bioRxiv2024

Modulating Prestimulus Alpha and Beta Power with tRNS Establishes Their Causal Role in Visual Perception

Variability in visual perception in response to consistent stimuli is a fundamental phenomenon linked to fluctuations in prestimulus low-frequency neural oscillations--particularly in the alpha (8-13 Hz) and beta (13-30 Hz) bands--typically measured by their power in electroencephalography (EEG) signals. However, the causal role of these prestimulus alpha and beta power fluctuations in visual perception remains unestablished. In this study, we investigated whether prestimulus alpha and beta power causally affect visual perception using transcranial random noise stimulation (tRNS). In a sham-controlled, single-blind, within-subject design, 29 participants performed a visual detection task while receiving occipital tRNS. Online functional near-infrared spectroscopy (fNIRS) was used to measure cortical excitability during stimulation, and offline EEG signals were collected after stimulation. Mental fatigue was incorporated as a state-dependent factor influencing tRNS effects. Our findings demonstrate that, primarily under low fatigue states, tRNS increased cortical excitability during stimulation (indicated by increased fNIRS oxyhemoglobin amplitude), decreased subsequent prestimulus EEG alpha and beta power, and consequently reduced the visual contrast threshold (VCT), indicating enhanced visual perception. Sensitivity analysis revealed that alpha oscillations contributed more significantly to visual perception than beta oscillations under low fatigue. Additionally, the state-dependent effects of tRNS may result from different sensitivities of VCT to neural oscillations across fatigue states. These results provide causal evidence linking prestimulus alpha and beta power to visual perception and underscore the importance of considering brain states in neuromodulation research. Our study advances the understanding of the neural mechanisms underlying visual perception and suggests potential therapeutic applications targeting neural oscillations. Significance statementUnderstanding why we perceive identical visual stimuli differently is a fundamental question in neuroscience. This study provides causal evidence that prestimulus alpha and beta neural oscillations directly influence visual perception, particularly under low mental fatigue state. By using tRNS alongside fNIRS and EEG recordings, we demonstrate that modulating neural excitability can alter perceptual outcomes. Our findings highlight the importance of considering brain state--such as fatigue levels--in neuromodulation research. This work advances our understanding of the neural mechanisms underlying visual perception and opens avenues for developing targeted interventions to enhance sensory processing and cognitive functions, potentially benefiting individuals with perceptual or attentional disorders.

neuroscience↗

bioRxiv2024

Design of a Water-Soluble CD20 Antigen with Computational Epitope Scaffolding

The poor solubility of integral membrane proteins in water frequently hinders studies with these proteins, presenting challenges for structure determination and binding screens. For instance, the transmembrane protein CD20, which is an important target for treating B-cell malignancies, is not soluble in water and cannot be easily screened against potential protein binders with techniques like phage display or yeast display. Here, we use de novo protein design to create a water-soluble mimic of the CD20 dimer ("soluble CD20"). Soluble CD20 replaces the central transmembrane helix of CD20 with a water-soluble helix that dimerizes to form a coiled coil that structurally matches the dimer interface of native CD20 and presents the central extracellular loop of CD20 in a binding competent conformation. Unlike peptides derived from CD20, soluble CD20 binds tightly to monoclonal antibodies that recognize quaternary epitopes on the extracellular face of CD20. We demonstrate that soluble CD20 is easy to produce, remains folded above 60{degrees}C, and is compatible with binder screening via yeast display. Our results highlight the ability of computational protein design to scaffold conformational epitopes from membrane proteins for use in binding and protein engineering studies. ImportanceThis study demonstrates that computational protein design can be used to create water soluble variants of transmembrane proteins. The water-soluble CD20 mimic created here is compatible with high throughput binding screens and should be useful for developing next generation anti-CD20 therapeutics.

biophysics↗

bioRxiv2024

Processing reliant on granule cells is essential for motor learning but dispensable for many cerebellar-dependent behaviors

Cerebellar dysfunction leads to motor, learning, emotional, and social deficits. It is assumed that these deficits arise from impaired processing of mossy fiber inputs that activate granule cells (GCs) that in turn excite Purkinje cells (PCs). However, high-frequency spontaneous PC firing might also influence behaviors. To clarify how the cerebellum regulates behaviors, we compared the effects of disrupting either GC signaling, which selectively perturbs cerebellar processing, or PC signaling, which disrupts cerebellar processing and spontaneous PC firing. We find that both GC and PC signaling are required for eyeblink conditioning and vestibulo-ocular reflex (VOR) learning. However, disrupting PC signaling impairs baseline VOR, anxiety, and social behaviors, but abolishing GC signaling does not. This establishes that cerebellar processing is essential for motor learning, but is not required for many cerebellum-dependent behaviors. This suggests that such behaviors could be rescued by elevating firing in downstream targets, as shown previously for social deficits.

neuroscience↗

bioRxiv2024

Dual-function logic gates based on CRISPRi

Developing logic gate circuits that are programmable and reliable for specific functions is a central goal in synthetic biology. Traditional synthetic circuits often rely on protein regulators, which face scalability and resource burden limitations. To overcome these challenges, we introduce a novel approach utilizing dual-function and multi-level logic gates based on the CRISPRi system with dCas9 and sgRNA. This method, implemented in an in vitro transcription system, enables the rapid design and validation of complex logic gates. Our dual-function and multi-level design strategies achieve robust functionality in NOR, NAND, AND, and OR gates, allowing different logic outputs by altering only the inputs while reusing all other modules. This showcases significant advancements in efficiency and scalability for synthetic circuit construction. This work reduces development time and simplifies circuit design, paving the way for more efficient synthetic biology applications.

synthetic biology↗

bioRxiv2024

Continuous cell type diversification throughout the embryonic and postnatal mouse visual cortex development

The mammalian cortex is composed of a highly diverse set of cell types and develops through a series of temporally regulated events that build out the cell type and circuit foundation for cortical function. The mechanisms underlying the development of different cell types remain elusive. Single-cell transcriptomics provides the capacity to systematically study cell types across the entire temporal range of cortical development. Here, we present a comprehensive and high-resolution transcriptomic and epigenomic cell type atlas of the developing mouse visual cortex. The atlas was built from a single-cell RNA-sequencing dataset of 568,674 high-quality single-cell transcriptomes and a single-nucleus Multiome dataset of 194,545 high-quality nuclei providing both transcriptomic and chromatin accessibility profiles, densely sampled throughout the embryonic and postnatal developmental stages from E11.5 to P56. We computationally reconstructed a transcriptomic developmental trajectory map of all excitatory, inhibitory, and non-neuronal cell types in the visual cortex, identifying branching points marking the emergence of new cell types at specific developmental ages and defining molecular signatures of cellular diversification. In addition to neurogenesis, gliogenesis and early postmitotic maturation in the embryonic stage which gives rise to all the cell classes and nearly all subclasses, we find that increasingly refined cell types emerge throughout the postnatal differentiation process, including the late emergence of many cell types during the eye-opening stage (P11-P14) and the onset of critical period (P21), suggesting continuous cell type diversification at different stages of cortical development. Throughout development, we find cooperative dynamic changes in gene expression and chromatin accessibility in specific cell types, identifying both chromatin peaks potentially regulating the expression of specific genes and transcription factors potentially regulating specific peaks. Furthermore, a single gene can be regulated by multiple peaks associated with different cell types and/or different developmental stages. Collectively, our study provides the most detailed dynamic molecular map directly associated with individual cell types and specific developmental events that reveals the molecular logic underlying the continuous refinement of cell type identities in the developing visual cortex.

neuroscience↗

bioRxiv2024

Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE

Single-cell Hi-C (scHi-C) has provided unprecedented insights into the heterogeneity of 3D genome organization. However, its sparse and noisy nature poses challenges for computational analyses, such as chromatin architectural feature identification. Here, we introduce scCAFE, a deep learning model for the multi-scale detection of architectural features at the single-cell level. scCAFE provides a unified framework for annotating chromatin loops, TAD-like domains (TLDs), and compartments across individual cells. Our model outperforms previous scHi-C loop calling methods and delivers accurate predictions of TLDs and compartments that are biologically consistent with previous studies. The resulting single-cell annotations also offer a measure to characterize the heterogeneity of different levels of architectural features across cell types. We leverage this heterogeneity and identify a series of marker loop anchors, which demonstrate the potential of the 3D genome data to annotate cell identities without the aid of simultaneously sequenced omics data. Overall, scCAFE not only serves as a useful tool for analyzing single-cell genomic architecture, but also paves the way for precise cell-type annotations solely based on 3D genome features.

bioinformatics↗

bioRxiv2024

Spontaneously regenerative corticospinal neurons in mice

The spinal cord receives inputs from the cortex via corticospinal neurons (CSNs). While predominantly a contralateral projection, a less-investigated minority of its axons terminate in the ipsilateral spinal cord. We analyzed the spatial and molecular properties of these ipsilateral axons and their post-synaptic targets in mice and found they project primarily to the ventral horn, including directly to motor neurons. Barcode-based reconstruction of the ipsilateral axons revealed a class of primarily bilaterally-projecting CSNs with a distinct cortical distribution. The molecular properties of these ipsilaterally-projecting CSNs (IP-CSNs) are strikingly similar to the previously described molecular signature of embryonic-like regenerating CSNs. Finally, we show that IP-CSNs are spontaneously regenerative after spinal cord injury. The discovery of a class of spontaneously regenerative CSNs may prove valuable to the study of spinal cord injury. Additionally, this work suggests that the retention of juvenile-like characteristics may be a widespread phenomenon in adult nervous systems.

neuroscience↗

bioRxiv2024

Characterization of direct Purkinje cell outputs to the brainstem

Purkinje cells (PCs) primarily project to cerebellar nuclei but also directly innervate the brainstem. Some PC-brainstem projections have been described previously, but most have not been thoroughly characterized. Here we use a PC-specific cre line to anatomically and electrophysiologically characterize PC projections to the brainstem. PC synapses are surprisingly widespread, with the highest densities found in the vestibular and parabrachial nuclei. However, there are pronounced regional differences in synaptic densities within both the vestibular and parabrachial nuclei. Large optogenetically-evoked PC-IPSCs are preferentially observed in subregions with the highest densities of PC synapses, suggesting that PCs selectively influence these areas and the behaviors they regulate. Unexpectedly, the pontine central gray and nearby subnuclei also contained a low density of PC synapses, and large PC-IPSCs are observed in a small fraction of cells. We combined electrophysiological recordings with immunohistochemistry to assess the molecular identities of two putative PC targets: PC synapses onto mesencephalic trigeminal neurons were not observed even though these cells are in close proximity to PC boutons. PC synapses onto locus coeruleus neurons are exceedingly rare or absent, even though previous studies concluded that PCs are a major input to these neurons. The availability of a highly selective cre line for PCs allowed us to study functional synapses, while avoiding complications that can accompany the use of viral approaches. We conclude that PCs directly innervate numerous brainstem nuclei, but only inhibit a small fraction of cells in many nuclei. This suggests that PCs target cell types with specific behavioral roles in brainstem regions.

neuroscience↗

bioRxiv2024

Enhancer AAVs for targeting spinal motor neurons and descending motor pathways in rodents and macaque

Experimental access to cell types within the mammalian spinal cord is severely limited by the availability of genetic tools. To enable access to lower motor neurons (LMNs) and LMN subtypes, we generated single cell multiome datasets from mouse and macaque spinal cords and discovered putative enhancers for each neuronal population. We cloned these enhancers into adeno-associated viral vectors (AAVs) driving a reporter fluorophore and functionally screened them in mouse. We extensively characterized the most promising candidate enhancers in rat and macaque and developed an optimized pan LMN enhancer virus. Additionally, we generated derivative viruses expressing iCre297T recombinase or ChR2-EYFP for labeling and functional studies, and we created a single vector with combined enhancer elements to achieve simultaneous labeling of layer 5 extratelencephalic projecting (ET) neurons and LMNs. This unprecedented LMN toolkit will enable future investigations of cell type function across species and potential therapeutic interventions for human neurodegenerative diseases.

neuroscience↗

bioRxiv2024

SARS-CoV-2 vaccination during pregnancy enhances hippocampal neurogenesis and working memory in offspring via IFN-gamma responsive microglia

In the face of severe adverse outcomes of pandemic Coronavirus disease 2019 (COVID-19) infection, vaccines proved potently immunogenic and safe in humans and are today strongly recommended in pregnancy. This study investigates, in offspring mice, the effect of maternal COVID-19 vaccination on postnatal physical development, behavior and neurogenesis. After inoculation with inactivated COVID-19 vaccine (Vero Cell) at gestational day 14.5, antibodies to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were detected in serum of both dams and pups. At one month of age, pups born to vaccinated dams, but not the offspring of non-vaccinated dams, exhibited greater working memory and more neural cell proliferation, neuroblast formation, neuronal stem cell activity and larger numbers of mature neurons within the dentate gyrus (DG). Luminex multiplex assay revealed elevated levels of hippocampal cytokines/chemokines critical to neurogenesis and memory function, namely interferon-{gamma} [IFN-{gamma}] and CX3C motif chemokine ligand 1 [CX3CL1]. Conditional knockout technology implicated microglial IFN-{gamma} receptor 1 (IFN{gamma}R1) and CX3C motif chemokine receptor 1 (CX3CR1) as crucial intercellular participants in the neuronal developmental process, via regulating microglial activation and chemotaxis, respectively. We propose that, rather than posing risk for neurodevelopmental abnormalities, maternal SARS-CoV-2 vaccination transiently enhances hippocampal neurogenesis and working memory in offspring.

animal behavior and cognition↗

bioRxiv2024

Detecting Data Embedding Spatial Patterns and Identifying Biomarkers with BioRSP

Low-dimensional embeddings such as UMAP and t-SNE are routinely used to visually interpret high-dimensional omics data, yet claims based on embedding geometry are often qualitative, embedding-sensitive, and weakly calibrated. We present BioRSP (Biological Radar Scanning Plots), a geometry-first framework that quantifies how a user-defined foreground subset is distributed across the embedding footprint of a fixed analysis set. BioRSP converts 2D coordinates to polar form around a robust vantage point, scans the set by angle, and computes a radar profile that summarizes signed radial enrichment of foreground relative to background within sliding angular windows using a distance-based radial discrepancy. The profile is reduced to interpretable summaries including anisotropy magnitude, peak directionality, and coverage, and is accompanied by explicit adequacy rules and subsampling-based stability diagnostics so the method can abstain when the geometry is underpowered. We demonstrate BioRSP in a community-standard human kidney single-nucleus reference by analyzing thick ascending limb (TAL) nuclei using published UMAP coordinates and a standardized within-set top-decile foreground rule. Within TAL, BioRSP distinguishes sharply localized rim-enrichment patterns, broadly supported but structured within-type heterogeneity, and near-isotropic profiles, with anisotropy spanning more than an order of magnitude in the pooled TAL analysis. Donor-aware reruns show that per-donor adequacy is frequently limiting, but that directional profiles are stable when donor-level support is sufficient. BioRSP is provided as open-source software producing standardized plots, summary tables, and run manifests to support reproducible embedding-aligned enrichment analysis.

bioinformatics↗

bioRxiv2024

The transcriptomic and spatial organization of telencephalic GABAergic neuronal types

The telencephalon of the mammalian brain comprises multiple regions and circuit pathways that play adaptive and integrative roles in a variety of brain functions. There is a wide array of GABAergic neurons in the telencephalon; they play a multitude of circuit functions, and dysfunction of these neurons has been implicated in diverse brain disorders. In this study, we conducted a systematic and in-depth analysis of the transcriptomic and spatial organization of GABAergic neuronal types in all regions of the mouse telencephalon and their developmental origins. This was accomplished by utilizing 611,423 single-cell transcriptomes from the comprehensive and high-resolution transcriptomic and spatial cell type atlas for the adult whole mouse brain we have generated, supplemented with an additional single-cell RNA-sequencing dataset containing 99,438 high-quality single-cell transcriptomes collected from the pre- and postnatal developing mouse brain. We present a hierarchically organized adult telencephalic GABAergic neuronal cell type taxonomy of 7 classes, 52 subclasses, 284 supertypes, and 1,051 clusters, as well as a corresponding developmental taxonomy of 450 clusters across different ages. Detailed charting efforts reveal extraordinary complexity where relationships among cell types reflect both spatial locations and developmental origins. Transcriptomically and developmentally related cell types can often be found in distant and diverse brain regions indicating that long-distance migration and dispersion is a common characteristic of nearly all classes of telencephalic GABAergic neurons. Additionally, we find various spatial dimensions of both discrete and continuous variations among related cell types that are correlated with gene expression gradients. Lastly, we find that cortical, striatal and some pallidal GABAergic neurons undergo extensive postnatal diversification, whereas septal and most pallidal GABAergic neuronal types emerge simultaneously during the embryonic stage with limited postnatal diversification. Overall, the telencephalic GABAergic cell type taxonomy can serve as a foundational reference for molecular, structural and functional studies of cell types and circuits by the entire community.

neuroscience↗

bioRxiv2024

Single-cell phylodynamic inference of tissue development and tumor evolution with scPhyloX

Phylodynamics inference (PI) is a powerful approach for quantifying population dynamics and evolutionary trajectories of natural species based on phylogenetic trees. The emergence of single-cell lineage tracing technologies now enables the reconstruction of phylogenetic trees for thousands of individual cells within a multicellular organism, opening avenues for employing PI methodologies at the cellular level. However, the intricate process of cell differentiation poses challenges for directly applying current PI frameworks in somatic tissues. Here, we introduce a novel computational approach called single-cell phylodynamic explorer (scPhyloX), designed to model structured cell populations in various cell states, by leveraging single-cell phylogenetic trees to infer dynamics of tissue development and tumor evolution. Our comprehensive simulations demonstrate the high accuracy of scPhyloX across various biological scenarios. Application of scPhyloX to three real datasets of single-cell lineage tracing unveils novel insights into somatic dynamics, such as the overshoot of cycling stem cell populations in fly organ development, clonal expansion of multipotent progenitors of hematopoiesis during human aging, and pronounced subclonal selection in early colorectal tumorigenesis. Thus, scPhyloX is an innovative computational method for investigating the development and evolution of somatic tissues.

bioinformatics↗

bioRxiv2024

Improvement in Outcomes and Prevention of Multiple Organ Dysfunction Syndrome After Cardiac Arrest and Successful Cardiopulmonary Resuscitation by Systemic Administration of Bumetanide in Male Mice

BACKGROUNDCardiac arrest (CA) and successful cardiopulmonary resuscitation (CPR) cause post-CA brain injury (PCABI) and extracerebral multiple organ dysfunction (EMOD), leading to low survival and disability in resuscitated patients. The pathogenesis of PCABI is still poorly understood, and no therapeutic-related factors have been identified to improve survival and neurological outcomes to date. Bumetanide is a promising pharmaceutical intervention for some neurological disorders that have some common pathophysiology with PCABI, and it also exhibit systemic protective effects on vital organs under pathological conditions. This study aims to investigate the protective effects of bumetanide on PCABI and EMOD after CA/CPR, and uncover the pathogenesis and biomarkers of PCABI at protein level. METHODSWe generated a hyperkalemia-induced asystole CA/CPR mouse model with bumetanide/vehicle treatment after resuscitation. Survival, neurological outcome, functional outcome, key pathophysiological process underlying PCABI, and injury level of EMOD were evaluated. Proteomics analysis of cerebral cortex was performed for investigating mechanisms of PCABI. RESULTSBumetanide significantly improved outcomes after CA/CPR and reduced the main pathophysiological processes of PCABI, including seizures, neurodegeneration, neuroinflammation, decreased cerebral blood flow, blood-brain barrier disruption, and oxidative stress. CA/CPR-induced injury in heart, lung, liver, kidney, spleen, adrenal gland, spinal cord, pennis, and urinary bladder were also alleviated by bumetanide. Proteomic study and experimental verification identified LCN2/NGAL is a potential biomarker for early neuroprognostication and has association with PCABI severity. CONCLUSIONSSystemic administration of bumetanide improved outcomes and prevented multiple organ dysfunction after CA/CPR. LCN2/NGAL is a novel biomarker for early neuroprognostication at 24 hours after CA/CPR. Clinical PerspectiveO_LIWhat Is New? O_LIPost-resuscitation bumetanide treatment could improve outcomes and prevent brain injury and extracerebral multiple organ dysfunction after hyperkalemia-induced asystole cardiac arrest in mice. C_LIO_LINeuronal subpopulations in cerebral cortex were selectively vulnerable, and all major organs had obvious tissue damage with inflammatory cell infiltration and tissue edema after resuscitation. C_LIO_LIThis the first study to identify the pathogenesis and biomarkers of post-cardiac arrest brain injury with proteomic studies, and LCN2/NGAL had a strong and graded association with pathogenesis of PCABI, which could be a marker for monitoring and neuroprognostication. C_LI C_LIO_LIWhat Are the Clinical Implications? O_LIBumetanide may be a novel pharmacological therapy to improve survival and neurological outcomes in post-resuscitation care, and cerebral-specific quantification of LCN2/NGAL could be used for early neuroprognostication at 24 hours after cardiac arrest. C_LIO_LIExtracerebral multiple organ injury is common and severe after resuscitation, which needs to be given more attention in clinical management. C_LI C_LI

physiology↗