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Hu, X.

Publications and source records attributed to Hu, X..

At least 73 records · Page 4Linked to original sources

Molecular basis of enfumafungin inhibition and resistance in Candida glabrata β-1,3-Glucan synthase FKS1

{beta}-1,3-Glucan synthase FKS1 is essential for fungal cell wall biogenesis and serves as a validated target of widely prescribed antifungal drugs. However, the molecular mechanism of pathogenic FKS1, its modes of inhibition, and the associated resistance mechanisms remain elusive, hindering the antifungal development. Here, we focus on Candida glabrata FKS1, a clinically relevant target frequently linked to antifungal resistance. We present cryo-EM structures of C. glabrata FKS1 in multiple detergent environments and in complex with the triterpenoid antifungal enfumafungin. Integrated functional studies revealed a key catalytic residue within the conserved ED motif and uncovered structural adaptations to different membrane-mimetic environments, rationalizing FKS1s sensitivity to its surrounding membrane context. Enfumafungin binds at the extracellular membrane leaflet of cgFKS1 transmembrane domain, engaging a convex surface separated from the cytosolic active site, consistent with its role as a non-competitive inhibitor. Further analyses identified key enfumafungin-binding residues from TM5-TM6 and elucidated the molecular basis of drug resistance in C. glabrata. Collectively, these findings establish a mechanistic framework for pathogenic FKS1 function and inhibition and provide a molecular basis for the rational design of next-generation antifungal therapeutics.

microbiology↗

Different functions of human scavenger receptors BI and BII overexpressed in a murine abdominal sepsis model

Class B scavenger receptors BI (SR-BI) and BII (SR-BII) internalize lipoproteins but also bind and internalize bacteria. Their roles in sepsis are unknown. We overexpressed human SR-BI and BII in the liver and kidney as well as bone marrow-derived macrophages, and then performed cecal ligation and puncture (CLP) surgery. SR-BI and BII transgenic mice had significantly worse survival compared to WT mice. 24 h after CLP, liver injury markers and histological damage were prominent in both SR-BI and BII transgenic mice, whereas kidney damage was similar. Systemic inflammatory cytokines were markedly increased in SR-BI and BII transgenic mice; parallel increases were seen in liver mRNA expression, not in the kidney. The highest degree of neutrophil infiltration was observed in the liver of SR-BI. Human SR-BI and BII dramatically decreased bacterial accumulation in the liver. Green fluorescence protein-labeled E. coli were efficiently phagocytosed in hepatic macrophages of SR-BI and BII transgenic mice; phagocytosis was more prominent in SR-BII transgenic mice. Finally, human SR-BI overexpression reduced systemic HDL-C level, eliminated adrenal cortex lipid droplets, and dampened the systemic increase of corticosterone after CLP. Supplementation with glucocorticoid and mineralocorticoid improved survival in SR-BI, but not SR-BII, transgenic mice after CLP. In summary, our findings suggest human SR-BI and BII overexpression contributes to higher mortality after CLP by excessive inflammatory response due to adrenal insufficiency (SR-BI) or hyperactive phagocytosis (SR-BII) in the liver.

pathology↗

Site-specific integration of transposon via engineered piggyBac transposase

The precise integration of large DNA fragments into the human genome holds significant therapeutic potential. Here, we demonstrate that combining engineered piggyBac (PB) transposase with CRISPR/Cas9 enables targeted integration of PB transposons into specified genomic loci. Our engineered PB transposase (PBase) retains high excision activity while substantially reducing endogenous integration activity. In the developed Cas9-PBase fusion system, PBase excises the transposon to generate linear DNA fragments, while Cas9 introduces site-specific double-strand breaks (DSBs), facilitating insertion of the excised fragment at the target locus. The optimized tool achieves 6.1-7.3 kb transposon integration at multiple genomic sites with 10-15% efficiency, demonstrating 60-80% targeted integration specificity. As a proof of concept, we inserted a 7.1 kb transposon encoding three genes into the {beta}2M locus of human induced pluripotent stem cells (iPSCs), conferring protection against allogeneic natural killer (NK) cell-mediated cytotoxicity in derived iNK cells. These results establish Cas9-PBase as a precise and programmable platform for large DNA sequence insertion with potential clinical applications.

genetics↗

Experience Reorganizes Coordinated Population Dynamics Across Hippocampal Circuits

Hippocampal function relies on structured patterns of population activity that reflect the intrinsic organization of the circuit. Although experience is known to influence synaptic properties and local activity features, whether prolonged experience reshapes the large-scale organization of population dynamics across hippocampal subfields in the intact brain has remained unclear. Progress on this question has been limited by the lack of measurements that capture circuit-wide activity simultaneously while preserving spatial circuit structure. Here, we combined prolonged environmental experience with large-scale, simultaneous multi-shank recordings spanning CA1, CA3, and dentate gyrus in the mouse hippocampus to examine experience-dependent changes in circuit dynamics. We find that long-term experience reorganizes the basal operating state of the hippocampus, altering the statistical structure of field potentials, population spiking, and sharp-wave ripple activity in a coordinated manner across subfields. These changes are not confined to specific regions but instead reflect a circuit-wide reconfiguration of functional interactions that extends over larger spatial scales. At the population level, experience shifts hippocampal dynamics into a more coordinated dynamical regime, characterized by shared low-dimensional structure across hippocampal subfields. Together, these findings demonstrate that long-term experience reorganizes coordinated population dynamics across hippocampal circuits, establishing an intrinsic activity organization that reflects the experiential history of a memory network.

neuroscience↗

fNIRS Characterization of Temporal Potentiation During Optimized Nerve Stimulation

Restoring stable somatosensory feedback through transcutaneous nerve stimulation (TNS) represents a significant challenge in neural engineering; however, the cortical dynamics underlying sensory habituation are not yet well characterized. This study utilizes a multimethod functional near-infrared spectroscopy framework to quantify the temporal evolution of cortical engagement during optimized TNS. It was hypothesized that stimulation parameters fundamentally constrain the spatiotemporal profile of the hemodynamic response function. A General Linear Model with temporal and dispersion derivatives was used to analyze hemodynamic responses in 10 participants across three phases: validation, duration optimization (2, 5, or 10 seconds), and sustained engagement (45 minutes). During the optimization phase, 5-second stimulation produced the highest canonical amplitude with optimal dispersion characteristics, while 10-second trains resulted in significant temporal delays. During the sustained phase, parametric modeling indicated no linear decay in cortical response. Instead, the cortex demonstrated temporal potentiation, characterized by a transition from sparse early-phase activation to widespread late-phase recruitment across the sensorimotor network. The left posterior parietal cortex (BA5) served as a continuous integration hub, whereas primary somatosensory regions exhibited dynamic late-onset engagement. These findings quantify a nonlinear adaptation mechanism whereby engineered temporal spacing prevents neural saturation. The observed intersubject heterogeneity highlights the necessity for adaptive, closed-loop TNS controllers guided by real-time hemodynamic biomarkers.

neuroscience↗

DIA-based quantitative proteomics reveal the protective effects of quercetin against atopic dermatitis via attenuating inflammation and modulating immune response

Atopic dermatitis is a common inflammatory skin disorder characterised by recurrent eczematous lesions and intense itch. Quercetin is a naturally occurring flavonoid, exhibits antioxidant and anti-inflammatory properties. Previous studies have indicated its beneficial role in managing atopic dermatitis (AD); however, the precise underlying mechanism remains unclear. This study aimed to investigate the protective effects of quercetin against AD and to elucidate its potential mechanisms. We demonstrated that quercetin effectively suppressed the overexpression of pro-inflammatory effector factors--including interleukin (IL)-1{beta}, thymic stromal lymphopoietin (TSLP) and chemokine (C-X-C motif) ligand 1/10/11 (CXCL1/10/11)--in immortalized human keratinocytes (HaCaT) stimulated by TNF-/IFN-{gamma}. Proteomic analysis revealed 88 differentially expressed proteins, suggesting that quercetins therapeutic action involves multiple pathways. Notably, the NOD-like receptor signaling pathway was identified as a key factor. The key proteins related to this pathway including inhibitor of nuclear factor kappa B kinase epsilon (IKBKE), indoleamine 2,3-dioxygenase 1 (IDO1) and chemokine (C-X-C motif) ligand 9 (CXCL9) showed a significant decrease in expression levels after quercetin treatment. Collectively, these results demonstrate that quercetin alleviates AD symptoms by attenuating inflammatory responses, likely through inhibition of the NOD-like receptor signaling pathway.

pharmacology and toxicology↗

The inactivation of DHHC7 in mouse liver promotes diet-induced obesity through a hepatic Prg4-GPR146 axis

The liver secretes hepatokines that coordinate whole-body metabolism. Posttranslational lipidation of signaling proteins by DHHC palmitoyltransferases controls membrane targeting and signaling, yet the role of hepatic palmitoylation in systemic metabolic regulation is largely unexplored. Using an inducible, liver-specific DHHC7 knockout (D7LKO) mouse, we report that loss of DHHC7 in hepatocytes potentiates adenylyl cyclase-PKA-CREB signaling through reducing palmitoylation of inhibitory G protein subunit (Gi), leading to transcriptional elevation and secretion of proteoglycan 4 (Prg4). Elevated circulating Prg4 acts on adipocytes by binding GPR146 via Prg4s N-terminal SMB domain, suppressing adipocyte PKA substrate phosphorylation and hormone-sensitive lipase (HSL) Ser563 phosphorylation, thereby impairing lipolysis. Under high-fat diet (HFD) feeding, D7LKO mice and mice with adenoviral hepatic Prg4 overexpression develop pronounced obesity characterized by increasing brown, subcutaneous, and visceral fat mass and adipocyte hypertrophy; strikingly, these animals show little impairment in glucose tolerance or circulating triglycerides but display elevated plasma cholesterol. Conditioned medium containing Prg4 recapitulates suppression of adipocyte HSL phosphorylation in vitro, and SMB-deleted Prg4 fails to bind GPR146 or inhibit HSL phosphorylation. Our findings define a liver palmitoylation- hepatokine axis that controls adipose lipolysis and predisposes to diet-induced fat accumulation, establishing Prg4-GPR146 as a mechanistic link between hepatic signaling and adipose energy mobilization.

physiology↗

The Hippo Pathway Regulates Corneal Endothelial Regeneration

Corneal endothelial cells (CECs) have limited regeneration capacity in primates while display a potent restorative capability in some species such as rodents after wounding. The mechanism which determines the regenerative capability of CECs remains poorly understood. Here, we identify that the Hippo signaling pathway is inhibited and the downstream effector YAP is activated during CEC wound healing in rabbit and mouse. Knockdown of Yap1 and pharmacological inhibition of YAP suppresses CECs wound healing in rodents in both in vitro and in vivo models. XMU-MP-1, a specific small molecular inhibitor for Hippo signaling pathway, can promote the corneal endothelial regeneration in rodents and corneal endothelial proliferation in cultured primate CECs, as well as in vivo non-human primate CEC wounding model. These findings suggest that Hippo pathway serves as a conserved signal to regulate corneal endothelial regeneration among various species, providing a novel target for non-invasive treatment of corneal endothelium decompensation.

cell biology↗

Lowering insulin mitigates female reproductive aging and diet-induced ovarian dysfunction

Hyperinsulinemia has consequences beyond metabolic dysfunction, including reproductive system effects. We found that hyperinsulinemia at age 46-47 was predictive of earlier menopause in the Study of Womens Health Across the Nation. To test causality between insulin levels and reproductive aging, we longitudinally evaluated chow- or high-fat, high-sucrose (HFHS)-fed Ins1-null female mice with full or partial Ins2 insulin gene expression. Ins1-/-;Ins2+/-mice had lower HFHS-induced hyperinsulinemia and less weight gain than their full-Ins2 littermates, despite comparable HFHS-induced glucose intolerance up to 9 months. By 15 months, Ins1-/-;Ins2+/+ ovaries showed multinucleated giant cell accumulation with HFHS, while Ins1-/-;Ins2+/- mice were protected against this response and maintained a higher reserve of follicles. Moreover, aged Ins1-/-;Ins2+/- mice were 9-fold more likely to conceive on HFHS than hyperinsulinemic Ins1-/-;Ins2+/+ mice. Elevated insulin is therefore a critical mechanistic link between metabolic dysfunction and reproductive aging, and curtailing insulin levels protects against subfertility and HFHS-induced ovarian decline.

physiology↗

Genomic Structural Variation Underlies Cell-Type-Specific Betacyanin Variegation in Chenopodium quinoa

The allotetraploid crop quinoa (Chenopodium quinoa) accumulates red/violet betacyanins, which function as vital stress-mitigating antioxidants. We investigated the genetic basis of red/green variegation observed in the aerial organs of the P0429 accession. We demonstrated that this color mosaic is primarily localized to the epidermal bladder cells (EBCs), with red EBCs accumulating [~]50-fold higher betacyanin levels than colorless EBCs. Cell-type-specific RNA-sequencing of EBCs identified the cytochrome P450 gene Cqu0091301 (CYP76AD) as the dominant and rate-limiting factor, exhibiting strong upregulation in red EBCs. This high pigmentation requires a specific structural variation in the P0429 accession: a [~]4-kb genomic insertion that restores the full functionality of Cqu0091301, which is otherwise truncated and non-functional in common reference genomes. Genomic analysis reveals that Cqu0091301 is part of a CYP76AD-DODA gene cluster. Notably, expression analysis revealed functional divergence between the quinoa subgenomes, with B-subgenome CYP76AD genes highly dominant in EBCs, while A-subgenome homologs were preferentially expressed in other tissues. Our results establish a clear link between structural genomic variation and cell-type-specific betalain biosynthesis, providing molecular insight into pigment regulation and subgenome specialization in allotetraploid quinoa.

plant biology↗

DeepDOX1: A Dual-Drive Framework Integrating Deep Learning and First-Principles Physics for Drug-Protein Affinity Prediction

In this work, we present DeepDOX1, a dual-drive drug-protein affinity (DPA) prediction tool features the tight integration of a concise AI architecture and a quantum mechanics based representation. The first-principle physics generated features incorporating the interactions between the drug and the protein pocket allows a relatively simple CNN model trained on a relatively small training set to exhibit exceptional generalization capabilities across extensive testing. Notably, DeepDOX1 outperforms popular AI models in the tests simulating real-world drug design scenario and a highly challenging test set featuring covalent ligands, halogenated ligands and metalloproteins. In addition, we designed a series of novel covalent inhibitors targeting the diabetes target hu-FBPase using DeepDOX1. Subsequent experimental validation including enzyme-level bioactivity assays and crystal structure determination confirmed the DeepDOX1s effectiveness in real-world drug design applications. It is conceivable that the combination of AI and first-principle QM might be one of the next breakthrough points of DPA prediction.

bioinformatics↗

In Situ Photoactivated Hydrogel Adhesive Dressings for Post Colon Polypectomies (PolypCures)

Colon polypectomy is a widely performed endoscopic procedure that reduces the incidence of colorectal cancer but leaves exposed colonic wounds susceptible to bleeding, perforation, and infection. The current standard of wound care, mechanical clips, is limited by technical complexity, high cost, and poor efficacy for large (> 2 cm in diameter) or difficult-to-access lesions. Here, we present PolypCure, an in situ photoactivated hydrogel adhesive dressing delivered via a single catheter, through either oozing or spraying methods, to achieve rapid, spatiotemporally controlled sealing and hemostasis (within 2 min) of colon lesions using the white light source integrated into standard endoscopic instruments. The hydrogel, composed of norbornene- and thiol-functionalized polyethylene glycol, carboxymethyl cellulose, and Eosin Y, exhibits mechanical properties comparable to colon tissue (G [~] 6 kPa), strong shear strength (> 15 kPa), low swelling (< 200%), and small pore size ([~] 20 {micro}m), ensuring long-term stability (up to 30 days) and protection against bacterial infiltration. The formulation also demonstrates biocompatibility and hemocompatibility. In an in vivo pig colon endoscopic mucosal resection (EMR) model, PolypCure fully adheres to large lesions for at least 3 days and promotes early-stage wound healing. Overall, PolypCure is a promising solution to wound management post-polypectomy.

bioengineering↗

Benchmarking TCR-pMHC structure prediction: a unified evaluation and CDR3-based functional insights

Interactions between T cell receptors (TCRs) and peptide-major histocompatibility complexes (pMHCs) are central to adaptive immunity. Recent advances in structure prediction tools have enabled atomic-level modeling of TCR-pMHC interactions. However, the lack of systematic evaluation forces practitioners to invest substantial resources in selecting appropriate tools. Here, we present a comprehensive benchmark of TCR-pMHC structure prediction with 70 previously unseen complexes and ten models spanning MSA-based, PLM-based, and docking-based approaches, revealing the superior modeling accuracy and docking quality of MSA-based methods, especially AlphaFold3. To further enhance the utility of AlphaFold3 predictions, we identify the pLDDT score of the TCR CDR3 region as an informative indicator of both structural correctness and functional relevance. Specifically, it enables up to 4.3% Top-1 success gain through reranking and captures mutation-induced affinity changes in over 80% of cases. Overall, our analysis would facilitate the practical usage of immune structure prediction models and guide the advancement of these models.

bioinformatics↗

Adapting Epigenetic Clocks for Cell-Free DNA High-Throughput Sequencing Data

Background.Circulating cell-free DNA (cfDNA or ccfDNA) methylation sequencing holds promise for developing epigenetic aging clocks in minimally invasive aging assessment applications. However, current clocks--primarily trained on array-based data--do not readily generalize to methylation profiles of cfDNA, due to stochasticity and uncertainty arising from the limited input amounts of cfDNA and technical characteristics of high-throughput sequencing (HTS) platform. Due to lack of training to correct this uncertainty, direct application of legacy clocks to HTS data will inevitably produce unreliable estimates, introduce predictive discordance and undermine the trustworthiness of epigenetic biomarkers. Despite this urgent challenge, a systematic, model-agnostic framework for adapting existing epigenetic clocks to HTS-based cfDNA data remains lacking. Methods.Here, we generated a dedicated benchmark dataset comprising paired cfDNA and genomic DNA (gDNA), which was replicated and profiled across two methylation arrays and two targeted HTS platforms. We evaluated 53 epigenetic clocks for CpG coverage, reproducibility, cross-platform consistency, and age prediction accuracy. Further, we systematically explored and tested multiple adaptation strategies including depth filtering, beta-value imputation, and transfer learning via model distillation aiming at improving performance and clinical concordance of legacy epigenetic clocks on cfDNA HTS datasets. Results.Our results show that inherent technical noise of HTS platforms compromises diagnostic precision, presenting as a significant burden for applying legacy clocks on cfDNA HTS data. However, this technical limitation can be systematically neutralized. By enforcing stringent sequencing depth protocols ([&ge;]10x ideally 20x), employing robust algorithmic stabilization (L2-heavy clocks and imputation) and transfer learning, we can effectively isolate genuine physiological aging signals from technical artifacts. Ultimately, an adaptation pipeline incorporating all these methods effectively improved age prediction accuracy and, closed the gap between epigenetically induced aging status and clinically assessed realities. Besides, the pipeline demonstrated improved diagnostic sensitivity for neurodegenerative conditions such as amyotrophic lateral sclerosis, establishing a reliable foundation for non-invasive clinical monitoring. Conclusions.This study provided a comprehensive framework and practical guidelines for adapting epigenetic clocks to HTS-based cfDNA data, paved the path for more general application of cfDNA-based aging assessment and liquid biopsies.

bioinformatics↗

Engineering Apical Integrin-binding Cellular Patches to Directed Cell Reprogramming via Mechanical Remodeling

Engineering extracellular microenvironments to control stem cell fate remains a central challenge in regenerative medicine. Here, we develop ECM-mimetic cellular patches formed by the supramolecular assembly of laminin-derived, integrin-binding ligands. The resulting fibrillar networks exhibit well-defined molecular packing and nanoscale ligand distribution, enabling specific engagement of apical integrin {beta}1 on mesenchymal stem cells. This controlled interface converts molecular assembly into hierarchical mechanotransduction, coordinating cytoskeletal remodeling, nuclear deformation, and chromatin reorganization to drive neuronal reprogramming without genetic or chemical induction. Mechanistic studies reveal that the interplay between ligand assembly, spatial orientation, and network stability governs integrin activation and downstream transcriptional regulation These findings demonstrate how molecularly programmed assemblies can transform passive matrices into active, cell-instructive materials. This work establishes a framework for designing supramolecular systems that couple structural hierarchy with mechanotransductive control to direct stem cell fate and advance regenerative material strategies.

bioengineering↗

"Awe-scillations": EEG spectral and complexity representations of awe

Awe is a positive emotion often accompanied by sensations of vastness and unity, with known benefits for well-being and social behavior. However, its neural underpinnings remain poorly understood. We recorded electroencephalography (EEG) and autonomic physiology in 23 healthy older participants while they watched a nature-based audiovisual film and subjectively rated awe events. Awe was the predominant emotion reported - though other positive emotions (e.g., joy) were also highly rated. Awe events were associated with decreased skin conductance level (SCL), and decreased EEG alpha and theta spectral power - physiological changes associated with low arousal and positively valenced emotional states. Interestingly, awe events exhibited increased Lempel Ziv Complexity (LZC) - indicating heightened neural signal entropy and increased richness of the conscious experience. LZC was also positively associated with the intensity of the awe ratings and negatively associated with SCL. Three additional datasets with separate independent induction methods (video clips and pharmacological induction via N,N-dimethyltryptamine) also showed positive occipital LZC associations with awe - suggesting some generalizability of LZC as a neurophysiological marker of awe. These results suggest that awe evokes neurophysiological states linked to the subjective affective experience. Impact StatementAwe, an emotion of increasing interest, has been studied with fMRI and peripheral physiology - but few studies have used electroencephalography (EEG). In this EEG study, we utilize a movie-watching paradigm to explore potential physiological correlates of awe. The results present EEG-based complexity increases as a potential correlate of awe, though showing limited generalization to independent datasets and limited uniqueness compared to joy, another positive emotion.

neuroscience↗

An induced pluripotent stem cell-based chemical genetic approach for studying spinal muscular atrophy

Spinal muscular atrophy (SMA) is a genetic disease characterized by degeneration of spinal cord motor neurons and neuromuscular junctions. Despite recent development in therapies for SMA, treatment efficacy largely relies on administration of drugs early in disease progression and is impacted by underlying patient genetics. Drug discovery for other diseases of the central nervous system (CNS) has also been hindered by heterogeneity in patient genetics and clinical presentations, as well as the need for early intervention. To address these hurdles, we utilized a chemical genetic-based screening approach to adapt the Connectivity Map (CMAP)/L1000 platform to study SMA. To do this, we differentiated moderate and severe SMA patient-specific induced pluripotent stem cells into neuronal cells utilizing a forward programming differentiation protocol, exposed each to 360 neuroactive or CNS disease-related compounds, and interrogated resulting changes in expression of >400 neural genes in a platform we term CMAPneuro. In doing so, we generated 4,559 transcriptional profiles identifying stimuli that modulate gene expression differences across SMA neurons. Finally, we make these data queryable, allowing the research community to 1.) identify CNS disease-related perturbagens that mimic or reverse differentially expressed genes, or 2.) explore the transcriptional response of a given perturbation in diverse SMA neuronal cells.

neuroscience↗

Dynamic S-acylation of GSDMA regulates pyroptosis

GSDMA, the primary member of the gasdermin family found in the skin, is critical for pathogen-induced pyroptosis during infection. Recent studies revealed that another gasdermin, GSDMD, undergoes palmitoylation during pyroptosis. However, whether and how the other gasdermin members undergo lipid modification remains poorly understood. Here, we demonstrate that GSDMA is S-acylated at the conserved cysteine residues in its N-terminal domain. We show that S-acylation of GSDMA promotes pyroptosis by facilitating its membrane anchoring and protein oligomerization, a mechanism distinct from the palmitoylation of GSDMD at the N-terminal C191 residue. Additionally, we present evidence that recombinant proteins of GSDMA and GSDMD can undergo S- acylation in vitro via direct interaction with palmitoyl-CoA, suggesting they potentially possess auto-acylation capacity. Furthermore, we identify ABHD17A as one of the deacylating enzymes that regulate the dynamic fatty acylation cycle of GSDMA. Overall, our studies reveal new molecular mechanisms underlying GSDMA function through S- acylation and underscore its important role in regulating pyroptosis mediated by GSDMA. HighlightsO_LIGSDMA is S-acylated at N-terminal conserved cysteine residues. C_LIO_LIGSDMA S-acylation facilitates membrane anchoring and protein oligomerization. C_LIO_LIGSDMA and GSDMD recombinant proteins can undergo S-acylation in vitro C_LIO_LIThe ABHD17A enzyme is involved in GSDMA deacylation. C_LI

biochemistry↗