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Chung, C.

Publications and source records attributed to Chung, C..

At least 19 recordsLinked to original sources

Trisomy 21 Perturbs Oligodendrocyte Developmental States and Oligo-Neuron Communication in Human Forebrain Assembloids

Intellectual disability is a hallmark of Down syndrome (DS), caused by the triplication of human chromosome 21. Abnormal neuronal connectivity and impaired myelination are consistently observed in DS, yet the underlying mechanisms remain poorly understood. Here, we used DS-derived isogenic induced pluripotent stem cell-derived forebrain assembloids (FAs) to investigate oligodendrocyte lineage cell (OLLC) development and neuron-glia interactions. Trisomic FAs exhibited an expansion of BCAS1+ pre-myelinating OLLCs, without a corresponding increase in myelin basic protein (MBP) expression. Transcriptomic analyses identified a euploid-enriched, trophic and maturation-supportive state (OLLC_2-TMS) and a trisomy-enriched synaptic interactions and differentiation state (OLLC_3-SID), lacking coordinated enrichment in myelination-promoting programs. Corresponding transcriptional signatures were identified in OLLCs from early postnatal human cortex. Increased excitatory neuronal contacts with pre-myelinating OLLCs accompanied ultrastructural myelin abnormalities in trisomic assembloids. Our findings suggest that trisomy redirects OLLC development toward a pre-myelinating state, uncoupling oligodendrocyte differentiation from productive myelination.

neuroscience↗

Benchmarked sequencing methods reveal hidden mosaic variation in the human brain

Mosaic variants (MVs) record cellular lineages, but their recovery is strongly method-dependent. Here, we benchmarked four duplex sequencing methods alongside bulk and single-neuron genome sequencing in matched human brain tissue. The methods differed in genome representation, MV yield and mutational profiles, with limited caller-level concordance. However, read-level interrogation revealed substantially greater cross-method molecular support. To systematically recover this evidence, we developed Read-level Integration for Variant Evidence Recovery (RIVER), expanding the pool of cross-method-supported candidates by approximately two orders of magnitude relative to caller-level overlap. Orthogonal sequencing at ~10,000x across brain and peripheral tissues validated approximately half of the tested RIVER-rescued candidates. MVs recovered from a single brain region resolved broadly distributed and regionally restricted clones and provided lineage information among individual neurons. These findings show that RIVER substantially expands the pool of endogenous lineage markers available to investigate human development, aging, disease-associated mosaicism and clonal evolution.

genomics↗

Structural Context Determines Docking Engine Performance: A Family-Stratified Benchmark of Six Engines

Molecular docking and co-folding engines are widely used to prioritize compounds for wet-lab validation, yet their accuracy is known to vary substantially across protein targets for reasons that remain only qualitatively understood. Here we benchmark six docking and co-folding engines (RevDock, DiffDock, Boltz2, AutoDock-GPU, rDock, and PandaDock) across 14 protein families, evaluating scoring power, ranking power, docking power, and physical validity. Rather than treating engine performance as protein-family-specific, we classify all 14 families into six mechanistic groups according to which of four scoring-function simplifications, rigid receptor, pairwise additivity, fixed point charges, and implicit solvent, is most severely stressed by that familys binding site. This framework helps explain, rather than simply describe, where each engine succeeds or fails: RevDocks CNN rescoring layer mitigates the pairwise additivity and fixed-charge limitations relative to physics-only scoring, achieving the highest overall pose accuracy (73.3% of poses [≤] 2.0 [A] RMSD), while Boltz2s sequence-based co-folding bypasses the rigid-receptor assumption and achieves comparable affinity correlation (mean Pearson r {approx} 0.60 for both engines). PandaDock, run with expanded conformational sampling, matches RevDock on pose accuracy (72.1% of poses [≤] 2.0 [A], lowest median RMSD at 0.96 [A]) and exceeds AutoDock-GPU on affinity correlation (mean r = 0.460), indicating that the performance of a physics-based scoring function is limited as much by search adequacy as by the scoring function itself. These results suggest that engine selection for a docking or co-folding campaign should be guided less by an engines aggregate benchmark ranking and more by which of these four structural and physical characteristics dominate the target of interest.

biochemistry↗

Adjuvanted mucosal vaccination enhances protection and prevents influenza virus transmission in the guinea pig model.

Influenza virus infects the respiratory mucosa, highlighting the importance of mucosal immunity for early protection and transmission control. Here, we evaluated whether intranasal (IN) vaccination with recombinant trimeric hemagglutinin protein from A/Michigan/45/2015 (triHA) formulated with a combined mucosal adjuvant, nanoemulsion plus IVT, an RNA-based RIG-I agonist (NE/IVT), could protect guinea pigs against heterologous A/Netherlands/602/2009 challenge and reduce viral transmission. To compare mucosal and parenteral immunization, IN triHA/NE/IVT was benchmarked against IN triHA alone, IM triHA/AddaVax (IM triHA/Advx), and standard IM quadrivalent inactivated influenza vaccine (QIV). We also tested whether IN triHA/NE/IVT could boost IM QIV- primed immunity and included animals previously infected with A/Michigan/45/2015 to model pre-existing infection- induced immunity. Transmission was assessed by co-housing naive sentinels with vaccinated, challenged donors. IN triHA/NE/IVT induced systemic humoral responses comparable to IM triHA/Advx while generating superior nasal mucosal IgA responses. Unexpectedly, IM triHA/AddaVax also induced detectable, albeit lower, mucosal IgG and IgA, contrasting with prior mouse data and highlighting species-specific differences. IN triHA/NE/IVT boosting after IM QIV enhanced serum IgG and mucosal IgA compared with QIV prime-boost alone and increased cross-neutralizing activity against antigenically distinct A/Victoria/4897/2022. Both IN triHA/NE/IVT and IN Michigan/15 prior- infection prevented detectable viral shedding after challenge, and naive sentinels co-housed with IN triHA/NE/IVT- vaccinated donors remained seronegative. Together, these findings support NE/IVT as a potential mucosal platform capable of inducing robust systemic and mucosal immunity and boosting IM vaccine-primed responses.

microbiology↗

Computational Lead Optimization on BACE1: Relative Binding Free Energy Perturbation as the Terminal Refinement Layer

Structure-based drug discovery is known to apply computational methods in a tiered hierarchy, with each layer narrowing the candidate set and refining the binding picture before committing to the next, more expensive step. We present a four-tiered computational benchmarking study evaluating five engines against a panel of 36 compounds targeting {beta}-secretase 1 (BACE1), a validated Alzheimers disease target with extensive co-crystal ground truth. This study evaluates Flexible Docking and Boltz2 Cofolding as the primary tier, followed by Ensemble Docking, and then Protein-Ligand MD with MM/PBSA and MM/GBSA post-processing. This is then concluded with Relative Binding Free Energy Perturbation (RevFEP) as the terminal refinement layer. Each method was benchmarked against the experimental binding free energies derived from the co-crystal structures spanning -7.85 to -11.35 kcal/mol. Our findings revealed that Flexible Docking reproduced the co-crystal binding mode for 35 of 36 ligands (97.2% within 2.0 [A] RMSD) but did not rank potency at this resolution. Boltz2 CoFolding provided an orthogonal structural cross check with a receptor backbone RMSD of 0.293 [A] against the experimental co-crystal structure. Ensemble Docking identified the optimal receptor conformation for downstream FEP setup. MD with MM/GBSA decomposition identified van der Waals complementarity as the primary potency driver (Pearson r = +0.855, R2 = 0.732 on a 10-compound subset). RevFEP delivered the highest affinity correlation of any method (Pearson r = +0.662, R2 = 0.438, Spearman{rho} = +0.624, mean absolute error 1.02 kcal/mol across all 36 ligands), resolving potency differences within a narrow 3.5 kcal/mol congeneric window that no other engine could discriminate. We characterize what each engine contributes independently and where RevFEP delivers signals no other engine achieves.

biochemistry↗

Microbial induction of MHC-II expression in colon cancer cells overcomes immunotherapy resistance and limits metastasis

Colorectal cancer remains a major cause of cancer mortality, and most microsatellite stable tumors derive little benefit from immune checkpoint blockade. Here, we identify a microbiome-dependent mechanism that converts immune-refractory colorectal cancer into a more immunologically responsive state. Using orthotopic mouse models spanning distinct genetic and immunologic contexts, we show that a Helicobacter-containing microbiome suppresses primary tumor growth and limits metastasis. This protective state is associated with increased intratumoral lymphocyte infiltration and stronger effector programs. Mechanistically, microbial exposure induces MHC class II expression in colon cancer cells to promote anti-tumor immunity. Tumor-intrinsic loss of CIITA abrogates microbial protection, whereas enforced CIITA expression is sufficient to increase intratumoral T cell accumulation, restrict progression and metastasis, and sensitize microsatellite-stable tumors to PD-1 and CTLA-4 blockade. In human microsatellite-stable patient-derived organoids, increased cancer-cell MHC-II enhanced interactions with autologous immune cells and increased tumor cell apoptosis. Together, these findings define a microbiome-cancer cell antigen presentation axis that restrains metastasis and overcomes immunotherapy resistance in colorectal cancer.

immunology↗

Inverse reinforcement learning reveals action-oriented value signals in naturalistic decision making

A major challenge for cognitive neuroscience is to explain how value of a goal-directed behavior is computed in complex and naturalistic environments. Standard computational models of decision making have been highly successful in controlled, trial-based paradigms, but they are often ill-suited to real-time behavior unfolding in naturalistic paradigms. Inverse reinforcement learning (IRL) offers a way to infer latent evaluative state from observed behavior in naturalistic environments, but its neural interpretability remains largely unknown. Here, we investigated whether moment-to-moment reward trajectories derived from IRL map onto value signals in the brain during a real-time driving task performed during fMRI scanning. IRL-derived reward trajectories were most robustly associated with activity in the dorsal striatum, a region often linked to value-guided action selection. They also showed associations with distributed regions supporting additional processes, including cognitive control and sensorimotor processing. This pattern suggests that IRL reward captures distributed neural activity centered on the reward circuitry, potentially reflecting how valuation interacts with other processes. Together, these findings suggest that IRL reward provides a behaviorally grounded, temporally resolved proxy for action-oriented valuation during naturalistic decision making.

neuroscience↗

Stage-specific exposure to an activity-permissive media enhances neuronal maturation in oligodendrocyte-enriched cortical organoids

Oligodendrocyte-enriched cortical organoids (OCOs) are a powerful platform for modeling oligodendrogenesis in a human cellular context. However, neuronal activity is impaired in conventional culture media, limiting assessment of neuronal function in conjunction with oligodendrocyte biology. To address this, we used a modified BrainPhys medium termed neuronal activity medium (NAM) and defined the optimal developmental window for NAM exposure to generate OCOs with robust neuronal activity (NAM-OCOs). Stage-specific exposure to NAM, prior to oligodendrocyte expansion, leads to enhanced structural maturation, as evidenced by increased organoid size, heightened synaptogenesis, and upregulation of transcripts associated with neuronal complexity. Further, NAM-OCOs display increased cellular heterogeneity, including greater representation of GABAergic interneurons while preserving oligodendrocyte development and maturation. Altogether, our studies demonstrate that stage-specific exposure to an activity-permissive environment enhances neuronal activity, establishing an OCO model which integrates neuronal activity with oligodendrocyte development and maturation. HighlightsO_LIIncreased neuronal activity in oligodendrocyte-enriched cortical organoids (OCOs) C_LIO_LIStage-specific Neuronal Activity Medium (NAM) optimizes activity C_LIO_LINAM-OCOs display increased cellular heterogeneity and neuronal maturation C_LIO_LIOligodendrogenesis is preserved in NAM-OCOs C_LI eTOC blurbIn this article, Chung et al enhance neuronal activity in oligodendrocyte-enriched cortical organoids (OCOs) through stage-specific exposure to Neuronal Activity Medium (NAM). OCOs exposed to NAM display elevated cellular heterogeneity, structural maturation, and synaptogenesis, while preserving oligodendrocyte development and maturation. These results establish an increasingly comprehensive OCO model for studying neuronal function and oligodendrogenesis.

neuroscience↗

Comprehensive Molecular Characterization of High-Grade Endometrial Cancer in an Ancestrally-Diverse Cohort

Endometrial cancer (EC) exhibits one of the most striking racial disparities in oncology with black women disproportionately affected by aggressive high-grade subtypes that have poorer outcomes. While social and environmental factors undoubtedly contribute, the molecular underpinnings of these disparities remain critically understudied. To bridge this knowledge gap, we performed matched tumor-normal whole-genome sequencing and tumor transcriptome sequencing on 71 predominantly high-grade EC patient samples from an ancestrally diverse cohort of women recruited at a large hospital system in the New York metropolitan area. Our analysis characterized the germline and somatic mutation landscape, identifying ancestry-associated molecular differences. Notably, focal amplification of the EVI1 transcription factor (encoded at the MECOM locus) was significantly more frequent in African ancestry patients and associated with poorer clinical outcomes in an external validation cohort. Additionally transcriptome analysis revealed decreased CD8+ T cell infiltration with increasing African ancestry, suggesting tumor immune microenvironment differences with potential therapeutic implications. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=163 SRC="FIGDIR/small/721962v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@12125b9org.highwire.dtl.DTLVardef@133c787org.highwire.dtl.DTLVardef@707af0org.highwire.dtl.DTLVardef@97615c_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIThis study represents the most ancestrally diverse whole-genome sequencing characterization of high-grade endometrial cancer, with 62% of patients of African ancestry. C_LIO_LIMECOM focal amplification preferentially targets the oncogenic short isoform (EVI1) and is more frequent in patients of African ancestry. C_LIO_LIAfrican ancestry is associated with reduced CD8+ T cell infiltration and differential activation of immune and metabolic pathways in copy-number high endometrial tumors. C_LI

cancer biology↗

A Single-Cell Atlas of Uterine Carcinosarcoma from Diverse Ancestries

Uterine carcinosarcoma (UCS) is an aggressive endometrial cancer defined by coexisting malignant epithelial and mesenchymal components, rapid metastatic dissemination, and poor therapeutic response. However, its cellular ecosystem remains poorly resolved, particularly in patients of African ancestry who are underrepresented in genomic datasets despite a disproportionate disease burden. Here, we generated a single-cell atlas of 15 primary and metastatic UCS specimens from a diverse cohort of 13 patients enriched for African ancestry, integrated with whole-genome sequencing. Malignant cells exhibited epithelial-like, mesenchymal-like, transitional, and stem/progenitor-like states within individual tumors that mapped to patient-specific copy number-defined subclones and RNA-velocity trajectories, supporting metaplastic state transitions. Compared to normal endometrium, primary tumors were enriched for epithelial-mesenchymal-transition (EMT), mTORC1, and glycolytic programs, whereas matched metastases show enhanced TNF-NF{kappa}B-associated invasive programs. The tumor microenvironment contained immunosuppressive myeloid states and diverse cancer-associated fibroblast (CAF) subsets, including pericyte-like and matrix-remodeling subsets that act as predicted communication hubs through chemokine and immune-checkpoint circuits. We found a CAF-centered CCL2-CXCL1/2-IL10 module linked to CD8 T-cell dysfunction and a TIGIT-CD96-PVR checkpoint module. These data define the UCS cellular ecosystem in which malignant plasticity is coupled to stromal-immune cell remodeling in a patient cohort of enriched ancestries and nominate stromal-immune axes for further therapeutic investigation.

cancer biology↗

A Patient-derived Organoid Platform for Uterine Carcinosarcoma that Emulates Disease Characteristics

Uterine carcinosarcoma (UCS) is a rare but extremely lethal endometrial cancer that metastasizes early and resists current treatment modalities. It is biphasic, built from malignant epithelial and mesenchymal cells. Genomic studies indicate that these tumors are clonal, and that the mesenchymal cells arise from the epithelial cells through cancer cell plasticity. This biology has been hard to study, because faithful patient-derived models are scarce. The gap is widened by inequity. Women of African ancestry carry the greatest burden of UCS, yet are underrepresented in existing models. To address this, we established patient-derived organoids (PDOs) from an ancestrally inclusive UCS cohort, alongside matched normal endometrial PDOs. The organoids reproduced the biphasic histology of the original tumors. Across four sequencing platforms, they retained the tumor mutation and copy-number landscape, remained stable across passages, and expanded for up to 28 months. At single-cell resolution, UCS PDOs captured both malignant compartments and traced continuous transcriptional trajectories along the epithelial-to-mesenchymal axis, capturing patient-specific cancer cell plasticity. The models also nominated candidate vulnerabilities in proof-of-concept therapeutic testing. UCS PDOs were enriched for CREB-family transcriptional programs, and CREB inhibition reduced their viability. Combined FGFR and YAP inhibition outperformed either agent alone. Together, this work delivers a histologically, genomically, and transcriptionally faithful, ancestrally inclusive, and lineage-resolved UCS organoid platform for studying cancer cell plasticity and its vulnerabilities in an aggressive and inequitably burdened cancer.

cancer biology↗

Diverse high-fat diets drive multi-omic reprogramming that persists after dietary reversal

Dietary fat composition modulates host physiology and the gut microbiome, but the long-term effects of specific fat sources and the extent to which these changes resolve after dietary reversal remain incompletely defined. Here, we present a longitudinal multi-omic resource of mice maintained for one year on a purified control diet, seven high-fat diets differing in predominant fat source, or reversal regimens in which animals were switched from high-fat to control diet after 4 or 9 months. We further incorporated two cohorts with distinct pre-existing microbiome configurations to determine how baseline community structure shapes diet-induced remodeling of the gut microbiome ecosystem. By integrating longitudinal phenotyping, fecal metagenomics, fecal metabolomics, plasma metabolomics and lipidomics, and intestinal single-cell RNA sequencing, we defined the shared and dietary fat-specific responses across host and microbiome compartments. Baseline microbiome composition strongly influenced microbial responses to diet, indicating that pre-existing community structure is a major determinant of dietary ecosystem remodeling. Although many altered features shifted toward baseline after dietary reversal, only approximately half of diet-associated microbial changes recovered within the study window. A subset of taxa exhibited persistent alterations, including sustained depletion of Lactobacillus johnsonii and Bifidobacterium pseudolongum and sustained enrichment of Alistipes finegoldii, consistent with a "microbiome memory" of prior high-fat diet exposure. This memory effect is mirrored in the host, by sustained suppression of major histocompatibility complex class II (MHC-II) gene expression in intestinal epithelial cells after dietary reversal. These findings indicate that dietary fats leave a lasting imprint on the host-microbiome interactome that survives dietary intervention. Together, these data establish a resource for defining how dietary fat source, baseline microbiome composition, and dietary history shape host-microbiome states. The entire resource is available online as an RShiny app.

systems biology↗

A FZD4/LRP5 agonist restores pericyte coverage and vascular integrity by increasing PDGFB signaling

Pericytes, specialized mural cells of capillaries, fulfill crucial physiological functions including promoting endothelial barrier function and regulating angiogenesis. Pericyte loss or dysfunction represents a central pathological feature in diabetic retinopathy (DR) and is increasingly recognized in neurodegenerative diseases as well as in poor stroke outcomes, underscoring an urgent need for therapies that restore pericyte function or promote their regeneration. Here, we utilized a Frizzled4 (FZD4) and Low-Density Lipoprotein Receptor-Related Protein 5 (LRP5) agonist antibody (F4L5.13) to investigate the functional consequences of mimicking {beta}-catenin-dependent signaling in CNS endothelial cells (ECs), which is physiologically induced by Norrin or WNT7A/B. In platelet-derived growth factor subunit B (Pdgfb) EC-specific knockout (ECKO) mice, a model of severe developmental pericyte deficiency with secondary blood-retina barrier (BRB) defects and hemorrhages, F4L5.13 significantly promoted retinal pericyte/mural cell proliferation and coverage, improved BRB function, reduced hemorrhages, and normalized vascular morphology. F4L5.13 restored Pdgfb mRNA expression levels from non-recombined cells in Pdgfb ECKO retinas. These findings highlight interactions of {beta}-catenin-dependent signaling and PDGFB production, identify a key pharmacodynamic action of F4L5.13 distinct from anti-VEGF therapies, and suggest that FZD4/LRP5 agonists may have uses as a regenerative pharmacology approach that promotes pericyte coverage in the neurovascular unit.

developmental biology↗

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

0Generative artificial intelligence has advanced antibody discovery, yet de novo design of therapeutic antibodies against targets with "zero-prior" epitopes remains a fundamental challenge. We define "zero-prior" epitopes as target sites lacking structural data from any reported antibody-antigen or protein-protein complex involving the target. Here we present Origin-1, a generative AI platform that overcomes this by integrating epitope-conditioned all-atom structure generation, paired complementarity determining region sequence design, and a specialized co-folding-based scoring protocol to select antibody designs predicted to be high-confidence, specific binders with favorable developability. We evaluated Origin-1 on a panel of ten targets selected to have no available protein-protein complex structures and minimal homology ([≤]60% sequence identity) to proteins with known complexes, creating stringent design conditions. In fewer than one hundred design attempts per target, we identified developable, specific antibodies, validated across multiple biophysical and developability assays, for four targets: COL6A3, AZGP1, CHI3L2, and IL36RA, with functional inhibition demonstrated for IL36RA. Cryogenic electron microscopy confirmed the atomic accuracy of our designs, revealing complexes that closely matched the computational models with high structural fidelity (3.0-3.3 [A] resolution; 0.83-0.91 DockQ). Furthermore, we employed AI-guided affinity maturation to optimize a de novo antibody binder against IL36RA, producing functional antagonists with sub-nanomolar affinities and a top EC50 of 12.3 nM. These results demonstrate a framework for targeting epitopes without structural precedent, expanding the programmable therapeutic antibody landscape.

molecular biology↗

Induction of ferroptotic and amyloidogenic signatures linked to Alzheimers disease by chemically distinct air pollutants

Air pollution (AirP) exposure is associated with increased Alzheimers disease (AD) risk, yet AirP is chemically heterogeneous, complicating identification of shared pathogenic drivers. We examined acute cortical responses to two metal-rich AirP sources, diesel exhaust particles (DEP) and World Trade Center (WTC) dust, and compared them to woodsmoke (WS), a particulate exposure with low metal content. DEP and WTC elicited highly convergent transcriptional responses, sharing over 1200 differentially expressed genes linked to inflammation, ferroptosis, neuronal remodeling, and amyloid processing. These changes were accompanied by impaired antioxidant activity and increased lipid peroxidation within lipid rafts, a membrane microdomain critical for amyloid processing, resulting in increased A{beta} generation. In contrast, WS produced a distinct transcriptional signature and failed to induce ferroptotic priming or lipid peroxidation, consistent with its low metal composition. Together, these findings implicate metals as a shared driver linking diverse AirP exposures to amyloidogenic vulnerability and elevated AD risk. Graphical AbstractAcute AirP exposure converges on ferroptotic priming, amyloidogenic processing, and white-matter vulnerability. Acute exposure to metal-rich AirP, such as DEP or WTC introduces redox-active metals and particulate matter that promote lipid peroxidation, amyloidogenesis, and altered transcriptional regulation in the brain. AirP exposure engages xenobiotic metabolism pathways (AhR/ARNT), activates iron and heme handling through ferritinophagy (NCOA4) and heme oxygenase activity (HMOX1), and blunts lipid peroxide detoxification systems, including glutathione peroxidase 4 (GPx4), ferroptosis suppressor protein 1 (FSP1), and glutathione (GSH) synthesis. These changes promote ferroptotic priming and lipid raft oxidation, facilitating amyloid precursor protein (APP) processing by secretases (ADAM10, BACE1, {gamma}-secretase) and increasing amyloid-{beta} (A{beta}) generation. In parallel, transcriptional and cell-state remodeling involving neuronal and oligodendrocyte responses contribute to selective white-matter vulnerability, particularly within the corpus callosum. Together, these pathways provide a mechanistic framework linking acute AirP exposure to convergent oxidative, amyloidogenic, and microstructural changes relevant to Alzheimers disease pathology. O_FIG O_LINKSMALLFIG WIDTH=197 HEIGHT=200 SRC="FIGDIR/small/696601v1_ufig1.gif" ALT="Figure 1"> View larger version (56K): org.highwire.dtl.DTLVardef@3a22dcorg.highwire.dtl.DTLVardef@c6ae26org.highwire.dtl.DTLVardef@1d3412forg.highwire.dtl.DTLVardef@5cb011_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

A neurorecording toolkit for longitudinal assessments of transplanted human cortical organoids in vivo

Human cortical organoids (hCOs) are three-dimensional neural cell aggregates that recapitulate certain structural and functional aspects of the developing human cortex. Xenotransplantation of hCOs into the rodent brain enables human-centric modeling of neurodevelopmental processes in a physiologically relevant environment. Here, we present a neurorecording toolkit for longitudinal structural and functional assessment of hCO xenografts as they mature in vivo. Single hCOs were implanted into the retrosplenial cortex of adult immunodeficient mice and monitored for up to 8 months. Optical coherence tomography was used for label-free imaging of xenograft vascularization and structure, enabling quantitative assessments of capillary density and graft volume. To probe neuronal activity, human neurons were labeled with a calcium sensor before implantation using either adeno-associated or lentivirus for sparse or dense neuronal labeling, respectively. Fluorescent imaging was conducted using two-photon, widefield, and swept confocally-aligned planar excitation microscopy for single cell, whole-graft, and volumetric calcium imaging, respectively. Results from these modalities indicate an increase in neuronal activity and synchronicity over time during in vivo graft maturation. Further, we chronically implanted surface graphene microelectrode arrays (gMEAs) and performed recordings of xenograft and host local field potential signals simultaneously with 2P calcium imaging, confirming the spatial localization and human origin of electrical signals recorded at the xenograft surface.

neuroscience↗

Lower Airway Dysbiosis in NTM+ Bronchiectasis is Associated with NET-Predominant Severe Phenotypes

RationaleThe discoveries of neutrophilic inflammation and Pseudomonas-dominant pulmonary dysbiosis have helped pave the way for host-directed therapy in bronchiectasis. Substantial knowledge gaps remain about the interplay between neutrophilic signatures and microbes in non-tuberculous mycobacterial lung disease (NTM-LD), a phenotypically diverse lung infection that is increasingly prevalent in the United States and other parts of the world. ObjectivesEvaluate the lower airway microbiota and neutrophilic traits in NTM- and NTM+ bronchiectasis. Methods16S rRNA gene sequencing, cell counts and neutrophil extracellular trap (NET) immunoassays were performed on bronchoscopic lower airway samples in 200 bronchiectasis subjects (108 NTM-, 92 NTM+). A preclinical model of oral commensal micro-aspiration and NTM infection was used to profile the murine lower airways with flow cytometry and a NET assay. Measurements and Main ResultsLower airways of NTM+ bronchiectasis patients were enriched with Mycobacterium and oral commensals (e.g., Veillonella, Prevotella). NET levels were higher in NTM+ BAL. Mycobacterium and oral commensals co-occurred with NET and neutrophils in network studies. Distinct oral commensal taxa associated with severe disease phenotypes such as cavitary disease and exacerbators. In a murine micro-aspiration model, the combination of oral commensals and Mycobacterium led to a sustained pro-inflammatory immune response marked by an increase in Th17, {gamma}8T cells, PD-1+ T lymphocytes as well as higher NET levels. ConclusionsOur analyses showed that distinct microbiome features beyond the primary pathogen can contribute to neutrophilic inflammation and severe disease phenotypes in bronchiectasis/ NTM-LD.

immunology↗

Asymmetric distribution of mitochondrial Ca2+ regulators specifies compartment-specific mitochondrial function and neuronal development

Neuronal polarization is essential for functional compartmentalization, enabling dendritic synaptic integration and axonal action potential generation. While structural differences in mitochondria across compartments have been identified, their functional distinctions remain unclear. Here, we uncovered compartment-specific mitochondrial Ca2+ dynamics and their molecular determinants. In axonal mitochondria, Ca2+ uptake through MCU occurs independently of ER-stored Ca2+ release, with faster matrix Ca2+ clearance than dendritic mitochondria, where Ca2+ uptake predominantly originates from ER Ca2+. The ER-independent mitochondrial Ca2+ uptake in axonal mitochondria is mediated by enriched MCU-regulating proteins, MICU1 and MICU2, while higher NCLX expression facilitates rapid Ca2+ clearance. Moreover, NCLX knockdown, which functionally mimics a mental retardation-associated mutation, caused more significant axonal branching defects compared to dendrites in vivo, aligning with its enrichment in axons. These findings highlight fundamental Ca2+-modulating features and developmental importance of neuronal mitochondria in a compartment-specific manner and reveal the key underlying molecular mechanisms.

neuroscience↗