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Han, Y.

Publications and source records attributed to Han, Y..

At least 127 records · Page 7Linked to original sources

Microbial virulome and resistome in deep-sea cold seeps pose minimal public health risks

Deep-sea cold seeps host high microbial biomass and biodiversity that thrive on hydrocarbon and inorganic compound seepage, exhibiting diverse ecological functions and unique genetic resources. However, potential health risks from pathogenic or antibiotic-resistant microorganisms in these environments remain largely overlooked, especially during resource exploitation and laboratory research. Here, we analyzed 165 metagenomes and 33 metatranscriptomes from 16 global cold seep sites to investigate the diversity and distribution of virulence factors (VFs), antibiotic resistance genes (ARGs), and mobile genetic elements (MGEs). A total of 2,353 VFs are retrieved in 689 MAGs, primarily associated with non-pathogenic functions like adherence. Additionally, cold seeps harbor nearly 100,000 ARGs, as important reservoirs, with high-risk ARGs presenting at low abundance. Compared to other environments, microorganisms in cold seeps exhibit substantial differences in VF and ARG counts, with potential horizontal gene transfer facilitating their spread. These virulome and resistome profiles provide valuable insights into the evolutionary and ecological implications of pathogenicity and antibiotic resistance in extreme deep-sea ecosystems. Collectively, these results indicate that cold seep sediments pose minimal public health risks, shedding lights on environmental safety in deep-sea resource exploitation and research. ImportanceUnderstanding pathogenicity and antibiotic resistance in environmental reservoirs like deep-sea cold seeps is critical for assessing public health risks, particularly with increasing human activities such as deep-sea mining. This study offers the first comprehensive analysis of virulome, resistome, and mobilome profiles in cold seep microbial communities. While cold seeps act as reservoirs for diverse ARGs, high-risk ARGs are rare, and most VFs contribute to non-pathogenic ecological functions. These results highlight the minimal threat to public health posed by cold seeps, providing a reference for monitoring the spread of pathogenicity and resistance in extreme ecosystems and informing environmental safety assessments during deep-sea resource exploitation.

microbiology↗

Combining NeuroPainting with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion

Neuropsychiatric conditions pose substantial challenges for therapeutic development due to their complex and poorly understood underlying mechanisms. High-throughput, unbiased phenotypic assays present a promising path for advancing therapeutic discovery, especially within disease-relevant neural tissues. Here, we introduce NeuroPainting, a novel adaptation of the Cell Painting assay, optimized for high-dimensional morphological phenotyping of neural cell types, including neurons, neuronal progenitor cells, and astrocytes derived from human stem cells. Using NeuroPainting, we quantified cell structure and organelle behavior across various brain cell types, creating a public dataset of over 4,000 cellular traits. This extensive dataset not only sets a new benchmark for phenotypic screening in neuropsychiatric research but also serves as a gold standard for the research community, enabling comparisons and validation of results. We then applied NeuroPainting to identify morphological signatures associated with the 22q11.2 deletion, a major genetic risk factor for schizophrenia. We observed profound cell-type-specific effects of the 22q11.2 deletion, with significant alterations in mitochondrial structure, endoplasmic reticulum organization, and cytoskeletal dynamics, particularly in astrocytes. Transcriptomic analysis revealed reduced expression of cell adhesion genes in 22q11.2 deletion astrocytes, consistent with recent post-mortem findings. Integrating the RNA sequencing data and morphological profiles uncovered a novel biological link between altered expression of specific cell adhesion molecules and observed changes in mitochondrial morphology in 22q11.2 deletion astrocytes. These findings underscore the power of combined phenomic and transcriptomic analyses to reveal mechanistic insights associated with human genetic variants of neuropsychiatric conditions.

neuroscience↗

Diverse quorum sensing systems regulate microbial communication and biogeochemical processes in deep-sea cold seeps

Quorum sensing is a fundamental chemical communication mechanism that enables microorganisms to coordinate behavior and adapt to environmental conditions. In deep-sea cold seep ecosystems, where diverse microbial communities thrive, quorum sensing is likely a key mechanism driving microbial interactions. However, the distribution, mechanisms, and ecological roles of quorum sensing in cold seeps remain poorly understood. To address this, we analyzed 173 metagenomes, 33 metatranscriptomes, and 18 metabolomes from 17 global cold seep sites. We identified 299,355 quorum sensing genes from the seep non-redundant gene catalog, representing 34 gene types across six quorum sensing systems, with distribution patterns influenced by sediment depth and seep type. These quorum sensing genes were present in 3,576 metagenome-assembled genomes from 12 archaeal and 108 bacterial phyla, revealing a complex network of intraspecies and interspecies communication. Microbial groups involved in key metabolic processes, such as sulfate-reducing bacteria, anaerobic methanotrophic archaea, diazotrophs and organohalide reducers, were extensively regulated by quorum sensing, influencing biogeochemical cycles of carbon, nitrogen, and sulfur. Phylogenetic analysis and protein domain identification highlighted the functional roles of key quorum sensing-related proteins (e.g., PDEs, CahR, RpfC/G and LuxR) in modulating microbial behaviors, such as motility and chemotaxis. Heterologous expression and metabolomic profiling further confirmed the activity of representative LuxI-R pairs and identified inhibitors of quorum sensing in cold seep sediments. Overall, these findings highlight complexity and significance of quorum sensing in microbial interactions, ecological adaptation, and biogeochemical cycling within cold seep ecosystems, advancing our understanding of microbial communication in the deep biosphere.

microbiology↗

A Watershed Algorithm GUI for Personalized fMRI-guided rTMS Target

Personalized repetitive transcranial magnetic stimulation (rTMS) increasingly relies on resting-state functional magnetic resonance imaging (fMRI) to select stimulation sites, yet most pipelines depend on user-defined thresholds and atlas masks, which can shift individualized targets. We propose a watershed-based approach, implemented in a graphical user interface, that performs threshold-independent segmentation of functional images to support rTMS target localization. As a proof-of-concept, we focused on Alzheimers disease-related circuits within the default mode network, designating the posterior cingulate cortex (PCC) as the deep effective region and the inferior parietal lobule (IPL) as the superficial stimulation target. In a cohort of 21 healthy participants, quantitative comparison with a conventional threshold-based, mask-constrained peak strategy revealed high concordance for PCC peaks but a median spatial displacement of 6.0 mm (95% CI: 0.0-12.7 mm) for IPL targets. Qualitative examples further illustrate that watershed segmentation reduces bias from neighboring functional clusters, truncation by atlas boundaries, and ambiguity among multiple local peaks. By decoupling target definition from user-chosen thresholds and packaging the method in an accessible toolbox, this framework offers a generalizable tool for individualized fMRI-guided rTMS.

neuroscience↗

Microbial succession, community assembly and adaptation over five years in a newly discovered deep-sea cold seep

Deep-sea cold seeps, characterized by the release of hydrocarbon-rich fluids such as methane from the seafloor, create unique ecosystems with evolving biological communities. Microorganisms serve as pioneers, initially colonizing early-stage cold seeps and providing essential matter and energy for subsequent colonizers. However, microbial succession, community assembly, and adaptation in these environments remain largely unexplored due to challenges associated with locating early-stage cold seeps. Here, we collected sediment samples from a newly discovered early-stage cold seep site, QDN-W07, in the South China Sea at varying depths over five years. We also sampled two previously reported cold seep sites, QDN-S18 and HM-ROV01, for comparative analysis. Amplicon sequencing revealed a high relative abundance of ANME-3 (up to 99%) and Methylomonadaceae (up to 83%) in surface sediments, and indicated changes in microbial community structures over time. Dispersal limitation dominated community assembly, while the contribution of homogeneous selection decreased over time, accompanied by a declined in the intensity of microbial association. Metagenomic analysis of core microbiome, comprising 172 metagenomic-assembled genomes at QDN-W07, revealed tolerance to low temperatures and oxygen. Core microbiome genomes were enriched with genes related to aerobic methane oxidation, urea metabolism, and the oxidation of sulfur, ammonia and carbon monoxide. These results indicate that core microorganisms obtain energy from the oxidation of inorganic compounds, allowing them to thrive in cold, methane-rich and unstable conditions. Overall, this study enhances our understanding of deep biosphere life, biogeochemical cycling, and the ecological management of cold seep environments.

microbiology↗

Substrate tunnel regulates substrate specificity switching in hyaluronan synthase

Hyaluronic acid (HA), a ubiquitous linear polysaccharide in the extracellular matrix of vertebrates and the capsule of certain pathogenic bacteria, is characterized by its unique structure of alternating {beta}-1,3-N-acetylglucosamine and {beta}-1,4-glucuronic acid units. HA is synthesized by Class I hyaluronan synthase (HAS) in the majority of organisms, but the molecular mechanisms determining the alternating sequence of HA remain unclear. Here, we demonstrated that HA synthesized in vitro using Streptococcus equisimilis HAS maintained its alternating sequence, regardless of substrate ratios and concentrations. While the active pocket lacks intrinsic selectivity, a distal allosteric regulation from the transmembrane tunnel is revealed. The lingering HA terminals in the active pocket ensure lower binding energies for alternating substrates through Coulombic repulsion and competitive binding. Moreover, the dynamic C-terminal loop at the substrate tunnel entrance reduces transport distance for alternating substrates. Our findings indicate that HA-substrate interactions and enzyme dynamics in the substrate tunnel collectively govern the alternating substrate specificity of HAS. This study provides the first molecular insight into precise substrate specificity control within a single active pocket during template-independent polymer synthesis.

biophysics↗

Mechanical control of germ cell specification in Arabidopsis anthers

A central question in developmental biology is how the germline is established. We have studied the specification of the male germ cells (GCs) within the anther1-3. Hereby, we have focused on the potential role of mechanics, an aspect of anther development which has been very poorly characterized2,4. Using a combination of live imaging and mechanical measurements, we provide evidence that GCs originate in a special micro-mechanical niche, where inner tissues exert push on outer cell layers, placing them under compression. Mechanical perturbations significantly disrupted the GC specification and patterning. Moreover, we found that the master genetic regulator SPOROCYTELESS/NOZZLE (SPL/NZZ)5,6 is central in establishing this micro-mechanical environment by softening the cell wall. The mechanical cues, in turn, stabilize the transcription of SPL/NZZ. We propose here an intrinsic growth-derived mechano-chemical feedback loop that drives germ-cell fate acquisition.

developmental biology↗

D-lactate derived from intestinal bacteria drives lysine D-lactylation to modulate transcription in liver cells

Emerging evidence indicates that the accumulated D-lactate (D-la) from intestinal bacteria induces diverse effects in human intestinal injury diseases. However, its regulatory mechanism and functional consequence remain unclear. Here, we show that the secreted D-la induces lysine D-lactylation (K-Dla) to modulate transcription in host cells. We uncover K-Dla in HepG2 cells stimulated by D-la from E. coli secretions. Then, we confirm the occurrence of D-la-driven K-Dla by four orthogonal approaches. We further validate that the existence of K-Dla in organisms by detecting the mouse liver and human intestinal tissue. Besides, we demonstrate a SCOT1-catalyzed biosynthetic pathway of D-lactyl-CoA, serving as a key donor for K-Dla. Next, we identify the K-Dla landscape with 2895 sites and further suggest the regulation of histone K-Dla in transcription by MNase ChIP-seq and RNA-seq assays. Finally, we show the potential effect of K-Dla on inhibiting the hepatocellular carcinoma cell proliferation. In summary, we report that the secreted D-la can induce K-Dla to regulate transcription, providing a new insight into the function of D-la secreted by gut microbiota and the effect of protein chemical modifications induced by bacterial secretions.

molecular biology↗

A Wearable Mindfulness Brain-Computer Interface for Alleviating Car Sickness

Car sickness, an enormous vehicular travel challenge, affects a significant proportion of the population. Pharmacological interventions are limited by adverse side effects, and effective nonpharmacological alternatives remain to be identified. Here, we introduce a novel attention shifting method based on a closed-loop, artificial intelligence (AI)-driven, wearable mindfulness brain-computer interface (BCI) to alleviate car sickness. As the user performs an attentional task, i.e., focusing on breathing as in mindfulness, with a wearable headband, the BCI collects and analyses electroencephalography (EEG) data via a convolutional neural network to assess the users mindfulness state and provide real-time audiovisual feedback. This approach might sustainedly shift the users attention from physiological discomfort towards the BCI-based mindfulness practices, thereby mitigating car sickness symptoms. The efficacy of the proposed method was rigorously evaluated in two real-world experiments, namely, short and long car rides, with a large cohort of more than 100 participants susceptible to car sickness. Remarkably, over 83% of the participants rated the BCI-based attention shifting as effective, with significant reductions in car sickness severity, particularly in individuals with severe symptoms. Furthermore, EEG data analysis revealed a neurobiological signature of car sickness, which provided mechanistic insights into the efficacy of the BCI-based attention shifting for alleviating car sickness. This study proposed the first large-scale validated, nonpharmacological and wearable intervention method and system for car sickness, with the potential to transform the travel experiences of hundreds of millions of people suffering from car sickness, which also represents a new application of BCI technology.

bioengineering↗

Improved robustness to gene tree incompleteness, estimation errors, and systematic homology errors with weighted TREE-QMC

Summary methods are widely used to reconstruct species trees from gene trees while accounting for incomplete lineage sorting; however, it is increasingly recognized that their accuracy can be negatively impacted by incomplete and/or error-ridden gene trees. To address the latter, Zhang and Mirarab (2022) leverage gene tree branch lengths and support values to weight quartets within the popular summary method ASTRAL. Although these quartet weighting schemes improved the robustness of ASTRAL to gene tree estimation error, implementing the weighting schemes presented computational challenges, resulting in the authors abandoning ASTRALs original search algorithm (i.e., computing an exact solution within a constrained search space) in favor of search heuristics (i.e., hill climbing with nearest neighbor interchange moves from a starting tree constructed via randomized taxon addition). Here, we show that these quartet weighting schemes can be leveraged within the Quartet Max Cut framework of Snir and Rao (2010), with only a small increase in time complexity compared to the unweighted algorithm, which behaves more like a constant factor in our simulation study. Moreover, our new algorithm, implemented within the TREE-QMC software, was highly competitive with weighted ASTRAL, even outperforming it in terms of species tree accuracy on some challenging model conditions, such as large numbers of taxa. In comparing unweighted and weighted summary methods on two avian data sets, we found that weighting quartets by gene tree branch lengths improves their robustness to systematic homology errors and is as effective as removing the impacted taxa from individual gene trees or removing the impacted gene trees entirely. Lastly, our study revealed that TREE-QMC is highly robust to high rates of missing data and is promising as a supertree method. TREE-QMC is written in C++ and is publicly available on Github: https://github.com/molloy-lab/TREE-QMC

bioinformatics↗

Diverse defense systems synergistically drive the microbe-virus arms race in deep sea cold seeps

Cold seeps host diverse microbes and viruses with numerous unexplored defense and anti-defense systems. Analysis of 3,813 microbial and 13,336 viral genomes from 191 metagenomes across 17 cold seep sites reveals extensive microbial defense repertoires, with over 60% representing candidate systems. Experimental validation confirms that several candidates protect against viral infection. These defense systems frequently co-occur, suggesting potential synergistic interactions, and are broadly distributed across sediments. In response, viruses have evolved diverse anti-defense genes, and the concurrent presence of multiple viral and microbial systems highlights intricate coevolution. Functionally critical lineages, such as anaerobic methanotrophic archaea, sulfate-reducing bacteria, and diazotrophs, appear to modify their defensive strategies under ecological and environmental pressures; for example, sulfate-reducing bacteria harbor multiple Gabija systems while corresponding viruses carry anti-Gabija genes, illustrating specific coevolutionary adaptations. Overall, these findings underscore the critical role of virus-microbe interactions in shaping microbial metabolic functions and environmental adaptation in deep-sea ecosystems.

microbiology↗

A comparative assessment of self-limiting genetic control strategies for population suppression

Genetic control strategies are promising solutions for control of pest populations and invasive species. Methods utilizing repeated releases of males such as Sterile Insect Technique (SIT), Release of Insects carrying a Dominant Lethal (RIDL), self-limiting gene drives, and gene disruptors are highly controllable methods, ensuring biosafety. Although models of these strategies have been built, detailed comparisons are lacking, particularly for some of the newer strategies. Here, we conducted a thorough comparative assessment of self-limiting genetic control strategies by individual-based simulation models. Specifically, we find that repeated releases greatly enhance suppression power of weak and self-limiting gene drives, enabling population elimination with even low efficiency and high fitness costs. Moreover, dominant female sterility further strengthens self-limiting systems that can either use gene drive or disruptors that target genes without a mechanism to bias their own inheritance. Some of these strategies are highly persistent, resulting in relatively low release ratios even when released males suffer high fitness costs. To quantitively evaluate different strategies independent from ecological impact, we proposed constant-population genetic load, which achieves over 95% accuracy in predicting simulation outcomes for most strategies, though it is not as precise in a few frequency-dependent systems. Our results suggest that many new self-limiting strategies are safe, flexible, and more cost-effective than traditional SIT and RIDL, and thus have great potential for population suppression of insects and other pests.

genetics↗

Phosphorylation-induced SUMOylation promotes Ulk4 condensation at ciliary tip to transduce Hedgehog signal

Hedgehog (Hh) signaling controls embryonic development and adult tissue homeostasis through the Gli family of transcription factors. In vertebrates, Hh signal transduction depends on the primary cilium where Gli is thought to be activated at the ciliary tip, but the underlying mechanism has remained poorly understood. Here we provide evidence that two Unc-51-like kinase (Ulk) family members Stk36 and Ulk4 regulate Gli2 ciliary tip localization and activation through phosphorylation and SUMOylation-mediated condensation in response to Shh. We find that Stk36-mediated phosphorylation of Ulk4 promotes its SUMOylation in response to Shh, and the subsequent interaction between SUMO and a SUMO-Interacting-Motif (SIM) in the C-terminal region of Ulk4 drives Ulk4 self-assembly to form biomolecular condensates that also recruit Stk36 and Gli2. SUMOylation or SIM-deficient Ulk4 failed to accumulate at ciliary tip to activate Gli2 whereas phospho-mimetic mutation of Ulk4 sufficed to drive Ulk4/Stk36/Gli2 condensation at ciliary tip, leading to constitutive Shh pathway activation in a manner dependent on Ulk4 SUMOylation. Taken together, our results suggest that phosphorylation-dependent SUMOylation of Ulk4 promotes kinase-substrate condensation at ciliary tip to transduce the Hh signal.

cell biology↗

Sidechain chemistry-encoded solid/liquid phase transitions of condensates

Nature effectively leverages multivalent interactions among fundamental building blocks in solvents to create remarkable materials for various purposes. One prominent example is the formation of biomolecular condensates through the phase separation of proteins and nucleic acids. In particular, these condensates play crucial roles in regulating cellular functions and constructing natural materials. During the phase separation, solvents not only provide liquid environments for solvating molecules but play crucial roles in affecting the material properties of condensates. However, it remains controversial in the literature that alcohol molecules, as one type of solvents, can solidify some condensates while also melting others, leading to liquid-to-solid phase transition (LSPT) or solid-to-liquid phase transitions (SLPT), respectively. The mechanism underlying the alcohol-induced solid/liquid phase transitions of condensates remains poorly understood. Here, we combine systematic experimental characterizations with molecular dynamics simulations to demonstrate that the phase transitions of condensates depend on their sidechain chemistry and dominant molecular interactions. Specifically, "hydrophilic" condensates, which consist of many charged sidechains, undergo LSPT by adding alcohols due to strengthened electrostatic interactions. In contrast, "hydrophobic" condensates comprised of abundant aromatic sidechains undergo SLPT with the addition of alcohols because of weakened cation-{pi} and {pi}-{pi} interactions. Importantly, these findings are generally applicable for predicting phase transitions of a wide range of condensates formed by synthetic polyelectrolytes and intrinsically disordered proteins based on their sidechain hydrophobicity or amino acid compositions. Our work not only reconciles a conundrum in the literature but provides a fundamental framework for understanding the responsiveness of condensates to environmental stimuli. These insights are instrumental for developing therapeutic drugs to treat pathological aggregates and engineering stimuli-responsive biomaterials from the perspective of sidechain chemistry and molecular interactions.

biophysics↗

Distinct input-specific mechanisms enable presynaptic homeostatic plasticity

Synapses are endowed with the flexibility to change through experience, but must be sufficiently stable to last a lifetime. This tension is illustrated at the Drosophila neuromuscular junction (NMJ), where two motor inputs that differ in structural and functional properties co-innervate most muscles to coordinate locomotion. To stabilize NMJ activity, motor neurons augment neurotransmitter release following diminished postsynaptic glutamate receptor functionality, termed presynaptic homeostatic potentiation (PHP). How these distinct inputs contribute to PHP plasticity remains enigmatic. We have used a botulinum neurotoxin to selectively silence each input and resolve their roles in PHP, demonstrating that PHP is input-specific: Chronic (genetic) PHP selectively targets the tonic MN-Ib, where active zone remodeling enhances Ca2+ influx to promote increased glutamate release. In contrast, acute (pharmacological) PHP selectively increases vesicle pools to potentiate phasic MN-Is. Thus, distinct homeostatic modulations in active zone nanoarchitecture, vesicle pools, and Ca2+ influx collaborate to enable input-specific PHP expression.

neuroscience↗

Natural genetic and transcriptomic variation in photosynthesis associated pathways contribute to adaptive traits variation in worldwide Arabidopsis thaliana population

Photosynthesis is the most important reaction underlying carbon fixation. Despite its potential in boosting carbon assimilation, nature variations underlying genes in photosynthesis pathway and their role in adaptive traits variation remains elusive. In this study, we investigated the genetic, transcriptomic variation of 1103 genes in photosynthesis associated pathways, including 82 photosynthesis core genes, 24 plastid-encoded RNA polymerase related genes, 2 nucleus-encoded RNA polymerase-related genes, 34 photomorphogenesis-related genes, 40 genes involved in transcription and translation (TAC) and 938 other nuclear-encoded chloroplast-targeted genes. By de novo assembling the chloroplast genomes of 28 representative accessions and leveraging whole-genome, transcriptome sequencing data from the 1001 Genome Project, we revealed extensive natural genetic and transcriptome variations these genes in worldwide Arabidopsis thaliana population. 34.0% of them were identified with regulatory variations in expression quantitative locus mapping (eQTL) mapping, including key components of Rubisco (RBCS1B, RBCS2B), and Rubisco activase (RCA). Genome-wide and transcriptome-wide association analysis (GWAS/TWAS) showed that these genetic and transcriptomic variations made considerable contribution to variation of adaptive traits. Overall, our study provides insight into the natural genetic variation of these genes among worldwide Arabidopsis thaliana accessions and their role in complex traits variation and adaptation.

plant biology↗

Movement-related activity in the internal globus pallidus of the parkinsonian macaque

Although the basal ganglia (BG) plays a central role in the motor symptoms of Parkinsons disease, few studies have investigated the influence of parkinsonism on movement-related activity in the BG. Here, we studied the perimovement activity of neurons in globus pallidus internus (GPi) of non-human primates during performance of a choice reaction time reaching task before and after the induction of parkinsonism by administration of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). Neuronal responses, including increases or decreases in firing rate, were equally common in the parkinsonian brain as seen prior to MPTP and the distribution of different response types was largely unchanged. The slowing of behavioral reaction times and movement durations following the induction of parkinsonism was accompanied by a prolongation of the time interval between neuronal response onset and movement initiation. Neuronal responses were also reduced in magnitude and prolonged in duration after the induction of parkinsonism. Importantly, those two effects were more pronounced among decrease-type responses, and they persisted after controlling for MPTP-induced changes in the between-trial variability in response timing. Following MPTP the trial-to-trial timing of neuronal responses also became uncoupled from the time of movement onset and more variable in general. Overall, the effects of MPTP on temporal features of GPi responses were related to the severity of parkinsonian motor impairments whereas changes in response magnitude and duration did not reflect symptom severity consistently. These findings point to a previously underappreciated potential role for abnormalities in the timing of GPi task-related activity in the generation of parkinsonian motor signs. New & NoteworthyAlthough the globus pallidus internus (GPi) plays a central role in the cardinal symptoms of Parkinsons disease (PD), how parkinsonism alters the movement-related activity of GPi neurons remains understudied. Using a monkey model of PD, we found that: 1) the timing of GPi responses became uncoupled from movement onset. And 2) responses, especially decrease-type responses, became attenuated and prolonged. These abnormalities in GPi perimovement activity may contribute to the generation of parkinsonian motor signs.

neuroscience↗

Human Vascularized Macrophage-Islet Organoids to Model Immune-Mediated Pancreatic β cell Pyroptosis upon Viral Infection

There is a paucity of human models to study immune-mediated host damage. Here, we utilized the GeoMx spatial multi-omics platform to analyze immune cell changes in COVID-19 pancreatic autopsy samples, revealing an accumulation of proinflammatory macrophages. Single cell RNA-seq analysis of human islets exposed to SARS-CoV-2 or Coxsackievirus B4 (CVB4) viruses identified activation of proinflammatory macrophages and {beta} cell pyroptosis. To distinguish viral versus proinflammatory macrophage-mediated {beta} cell pyroptosis, we developed human pluripotent stem cell (hPSC)-derived vascularized macrophage-islet (VMI) organoids. VMI organoids exhibited enhanced marker expression and function in both {beta} cells and endothelial cells compared to separately cultured cells. Notably, proinflammatory macrophages within VMI organoids induced {beta} cell pyroptosis. Mechanistic investigations highlighted TNFSF12-TNFRSF12A involvement in proinflammatory macrophage-mediated {beta} cell pyroptosis. This study established hPSC- derived VMI organoids as a valuable tool for studying immune cell-mediated host damage and uncovered mechanism of {beta} cell damage during viral exposure.

developmental biology↗