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Fujio, K.

Publications and source records attributed to Fujio, K..

13 recordsLinked to original sources

Transient cortical activity modulates somatosensory gating during postural control

Human somatosensory responses vary with movement-related gating as well as with fluctuations in ongoing cortical activity. During standing, both somatosensory responses and cortical activity change in response to postural demands. However, little is known regarding whether moment-to-moment fluctuations in cortical activity contribute to variation in somatosensory responses during different postural tasks. In this study, we investigated whether somatosensory-evoked potentials (SEPs) during postural control are associated with prestimulus cortical activity, focusing on oscillatory amplitudes and corticocortical connectivity. SEPs evoked by tibial nerve stimulation were recorded in 18 healthy adults under four postural conditions. Canonical correlation analysis (CCA) was used to extract single-trial SEP amplitudes from multichannel electroencephalography (EEG). The results showed that the early component of CCA-SEPs, N80, was significantly reduced according to postural demands. A higher prestimulus amplitude in the {beta}-frequency band in the central cortical regions was associated with a larger N80 amplitude. Moreover, modulation of -band corticocortical connectivity involving frontal and parietal regions covaried with N80 reduction. Clustering analysis using {beta}-amplitude and -connectivity as features further indicated that multivariate prestimulus cortical activity accounted for variability in N80 amplitude. These findings revealed that somatosensory responses vary through posture-related somatosensory gating and as a function of ongoing fluctuations in cortical activity. Clarifying the temporal dynamics of somatosensory processing will help elucidate the underlying physiological mechanisms of standing balance and contribute to the development of novel physiological assessments of postural impairments.

neuroscience↗

CATaN maps gene regulatory programs that shape genetic risk across complex diseases

Causal variants of complex traits are enriched at transcription factor (TF) binding sites and are thought to contribute to pathology by disrupting TF activity and thereby causing transcriptome dysregulation. However, existing approaches typically address TF-mediated gene regulatory networks (TF-GRNs) and transcriptomes separately, and methods that jointly leverage both to systematically assess disease heritability remain limited. We aimed to develop a framework that jointly leverages TF-GRNs and transcriptomes to assess disease heritability. Here, we constructed a matrix encoding TF-GRNs and developed an unsupervised analytical pipeline, Canonical correlation Analysis of Transcriptome and TF-gene regulatory Networks (CATaN). CATaN applies canonical correlation analysis (CCA) to extract canonical correlation (CC) components, i.e., shared variation components between transcriptomes and TF-GRNs, and converts them into genome-wide functional annotation scores connected to stratified LD score regression (S-LDSC) for heritability analysis. We applied CATaN to eight datasets, including 19,198 bulk samples and 611,772 single cells from human and mouse sources, identifying 588 CC components that are significantly enriched for SNP heritability across 69 complex traits. Notably, functional annotation tracks based on these TF-GRNs are distinct from transcriptome signatures prioritized by LDSC-SEG, with greater heritability enrichment for a subset of traits. Finally, we suggest that CATaN may help prioritize candidate causal variants for experimental fine-mapping using genome editing. Together, integrating TF-GRNs with transcriptomes reveals disease-relevant regulatory programs that are not fully captured by transcriptome-based analyses alone.

genetics↗

Circulating miR-1285-3p promotes age-associated B cell differentiation through the OXPHOS-IKZF2 axis in SLE

Age-associated B cells (ABCs) expand in systemic lupus erythematosus (SLE) and contribute to pathogenic humoral immunity, but the mechanisms that restrain their differentiation remain unclear. Here, we identify the transcription factor IKZF2 (Helios) as a regulator that limits ABC differentiation. Transcriptomic and functional analyses showed that suppression of oxidative phosphorylation (OXPHOS) in B cells promoted ABC differentiation and was accompanied by reduced IKZF2 expression. Pharmacologic modulation of mitochondrial metabolism further demonstrated that OXPHOS inhibition promoted, whereas OXPHOS activation restrained, ABC differentiation. Integrative analyses revealed reduced IKZF2 expression in selected B cell subsets from patients with SLE. Functional suppression of IKZF2 enhanced ABC differentiation and attenuated the inhibitory effects of OXPHOS activation, indicating that IKZF2 mediates metabolic control of B cell fate. Mechanistically, IKZF2 restrained early ABC-associated gene programs, including ITGAX and TBX21. Circulating miR-1285-3p in small extracellular vesicles, elevated in SLE, suppressed OXPHOS and recapitulated these effects. Together, these findings identify an OXPHOS-IKZF2 axis that restrains pathogenic B cell differentiation and links extracellular microRNA-mediated metabolic stress to ABC formation in SLE. One-sentence summarySmall EV-associated miR-1285-3p in SLE promotes ABC differentiation by suppressing OXPHOS and relieving IKZF2-mediated restraint.

immunology↗

A senescent iCAF-like fibroblast state governs therapy resistance in rheumatoid arthritis

ObjectivesRheumatoid arthritis (RA) synovitis frequently persists despite cytokine-targeted therapies, suggesting the existence of pathogenic stromal programs that sustain chronic inflammation independently of canonical immune pathways. Although synovial fibroblasts (SF) are increasingly implicated in treatment resistance, the pathogenic fibroblast states driving refractory disease and their therapeutic vulnerabilities remain poorly defined. MethodsWe integrated multimodal single-cell and spatial profiling of synovial tissue from 54 patients with RA with prospective treatment-response data and functional studies in human fibroblasts and experimental arthritis models. ResultsWe identified a C-X-C motif chemokine 12 (CXCL12)hi Apolipoprotein C1 (APOC1)+ fibroblast population selectively enriched in treatment-refractory synovitis. Spatial analyses demonstrated that these fibroblasts establish CXCL12-dependent plasmablast niches within inflamed synovium, resembling inflammatory cancer-associated fibroblasts (iCAF) that orchestrate immune cell recruitment in the tumor microenvironment. CXCL12hi APOC1+ fibroblasts exhibited a senescence-associated iCAF-like transcriptional program characterized by STAT3-C/EBP activation and APOC1 expression and were associated with poor response to TNF and IL-6 pathway inhibition. Mechanistically, APOC1 knockdown in RA-SF attenuated invasive mesenchymal behavior and disrupted senescence-associated inflammatory programs, identifying APOC1 as a central regulator of pathogenic fibroblast reprogramming. Importantly, genetic or pharmacological elimination of senescent cells ameliorated experimental arthritis and enhanced the efficacy of TNF blockade. ConclusionsThese findings implicate iCAF-like fibroblasts with senescent properties as a mechanistic driver of refractory RA synovitis and highlight stromal senescence programs as preclinically actionable therapeutic targets beyond cytokine inhibition.

immunology↗

Population-scale immunoglobulin genetics resolves the human B-cell system

Immunoglobulins (Ig) mediate adaptive humoral immunity, yet the regulation of B-cell responses in vivo in humans remains inaccessible to direct experimentation. Here we use population-scale Ig genetics to resolve molecular regulation of the human B-cell system. Analysis of circulating IgA, IgG, IgM, and six composite Ig traits in 114,697 individuals identifies 504 genetic associations. Integration with regulatory genomics, plasma proteomics, and immunophenotyping maps these effects across the B-cell hierarchy, recovering known regulators and revealing previously unrecognized genes in humoral immunity. At key control nodes - including Fc{gamma} receptors, the immunoglobulin heavy-chain locus and the TACI-APRIL signaling axis - variants form allelic series generating graded perturbations of antibody output. Ig-associated loci show extensive overlap with autoimmunity, immunodeficiency and B-cell malignancy. These findings demonstrate that Ig traits, analyzed at population scale, encode fine-grained information about the regulation of the human B-cell system and link natural variation in humoral immunity to immune-mediated disease.

genomics↗

Turbulence orchestrates actin-mitochondria dynamics to preserve GPIbα and support iPSC-derived platelet biogenesis

The in vitro manufacturing of induced pluripotent stem cell-derived platelets (iPSC-platelets) remains limited by low yield and poor quality, thus impeding practical clinical application. To address this, we developed a turbulence-assisted system using defined physical stimulation to enhance platelet production from immortalized megakaryocyte progenitor cell lines (imMKCLs). This approach significantly increases the yield of glycoprotein Ib (GPIb) functional iPSC-platelets. However, the underlying mechanisms remained unclear. Here, we reveal that GPIb iPSC-platelets retain high mitochondrial membrane potential, low phosphatidylserine (PS) exposure, and active ATP-dependent flippases, preserving mitochondrial integrity and platelet functionality. In contrast, GPIb- platelets exhibit PS exposure, ADAM17 activation, and selective GPIb shedding. Notably, turbulent flow induces late-stage actin depolymerization, promoting even mitochondrial distribution within maturing imMKCLs and enhancing mitochondrial inheritance to iPSC-platelets. These findings highlight the key role of turbulence in regulating actin dynamics and mitochondrial allocation during platelet biogenesis, providing a mechanistic foundation for improving in vitro platelet production for therapeutic use.

cell biology↗

Clonal relationships between Tph and Tfh cells in patients with SLE and in murine lupus

Pathologic T cell-B cell interactions drive disease in systemic lupus erythematosus (SLE). The T cells that activate B cell responses include T peripheral helper (Tph) and T follicular helper (Tfh) cells, yet the developmental and clonal relationships between these B cell-helper T cell populations are unclear. Here we use T cell receptor (TCR) profiling to demonstrate substantial clonal overlap between Tph and Tfh cells in the circulation of patients with SLE. Expanded Tph and Tfh cell clones persist over the course of 1 year in patients with a new diagnosis of SLE, and clones are observed to shift both from Tfh to Tph cells and from Tph to Tfh cells over time. High resolution analysis of cells sorted as Tph cells (CXCR5- PD-1hi) from SLE patients revealed considerable heterogeneity among these cells and highlighted a subpopulation of cells with transcriptomic features of activated B cell-helper T cells. This cell population, marked by expression of TOX and CXCL13, was found in both sorted Tph and Tfh cells, and was clonally linked in these two populations. Analysis of B cell-helper T cells in murine pristane-induced lupus demonstrated similar populations of Tph and Tfh cells in both lung and spleen with strong clonal overlap. T cell-specific loss of Bcl6 prevented accumulation of Tfh cells and reduced accumulation of Tph cells in pristane-treated mice, indicating a role for Bcl6 in the survival and expansion of both populations. Together, these observations demonstrate a shared developmental path among pathologically expanded Tph and Tfh cells in SLE. The persistence of expanded Tph and Tfh cells clones over time may explain the lack of stable tolerance induction by immunosuppressive medications or by B cell depletion.

immunology↗

Corticocortical and Corticomuscular Connectivity Dynamicsin Standing Posture: Electroencephalography Study

Cortical involvements, including those in the sensorimotor, frontal, and occipitoparietal regions, are important mechanisms of neural control in human standing. Previous research has shown that cortical activity and corticospinal excitability vary flexibly in response to postural demand. However, it is unclear how corticocortical and corticomuscular connectivity is dynamically modulated during standing balance and over time. This study investigated the dynamics of this connectivity using electroencephalography (EEG) and electromyography (EMG). The EEG and EMG were measured in different 4 positions: sitting (ST), normal quiet standing (QS), one-leg standing (ON), and standing on a piece of wood (WD). For corticomuscular connectivity, we concentrated on sway-varying connectivity in the timing of peak velocity of postural sway in the anteroposterior direction. For the corticocortical connectivity, the time-varying connectivity was quantified, particularly in the {theta}-band connectivity which is linked to error identification, using a sliding-window approach. The study found that corticomuscular connectivity from the brain to the lower-limb muscle was strengthened during the sway peak in the {gamma}- and {beta}-frequency bands, while the connectivity strength from the muscle to the brain was decreased in the {theta}- and -band. For the time-varying connectivity, the {theta}-connectivity in all time-epoch was divided into 7 states including both posture-relevant and -irrelevant clusters. In one of the 7 states, the strong connectivity pairs were concentrated in the mid-central region and the proportion of epochs from the ON and WD conditions was significantly higher, indicating a functional role for posture balance. These findings shed light on electrodynamic connectivity which varies in response to postural demand. Those dynamics, particularly in the {theta}-band connectivity, can be used for ongoing monitoring and/or intervention for postural disability.

neuroscience↗

An Autoimmune Transcriptional Circuit Driving Foxp3+ Regulatory T cell Dysfunction

Autoimmune diseases, among the most common disorders of young adults, are mediated by genetic and environmental factors. While CD4+Foxp3+ regulatory T cells (Tregs) play a central role in preventing autoimmunity, the molecular mechanism underlying their dysfunction is unknown. Here, we performed comprehensive transcriptomic and epigenomic profiling of Tregs in the autoimmune disease multiple sclerosis (MS) to identify central transcriptional programs regulating human autoimmunity. We discovered that upregulation of a primate-specific short PRDM1 isoform (PRDM1-S) induces SGK1 independent from evolutionally conserved long PRDM1, leading to destabilization of Foxp3 and Treg dysfunction. This aberrant PRDM1-S/SGK1 axis is shared among other autoimmune diseases. Furthermore, by chromatin landscape profiling in MS Tregs we identified a PRDM1-S specific cis-regulatory element associated with enriched binding of AP-1/IRF transcription factors. Our study identifies evolutionally emerged PRDM1-S and epigenetic priming of AP-1/IRF as key drivers of pathogenic Treg programs leading to human autoimmune disease.

immunology↗

Splicing QTL analysis focusing on coding sequences reveals pathogenicity of disease susceptibility loci.

Splicing QTL (sQTL) are one of the major causal mechanisms in GWAS loci, but their role in disease pathogenesis is poorly understood. One reason is the huge complexity of alternative splicing events producing many unknown isoforms. Here, we proposed two novel approaches, namely integration and selection, for this complexity by focusing on protein-structure of isoforms. First, we integrated isoforms with the same coding sequence (CDS) and identified 369-601 integrated-isoform ratio QTLs (i2-rQTLs), which altered protein-structure, in six immune subsets. Second, we selected CDS incomplete isoforms annotated in GENCODE and identified 175-337 isoform-ratio QTL (i-rQTL). By comprehensive long-read capture RNA-seq among these incomplete isoforms, we revealed 29 full-length isoforms with novel CDSs associated with GWAS traits. Furthermore, we have shown that disease-causal sQTL genes can be identified by evaluating their trans-eQTL effects. Our approaches highlight the understudied role of protein-altering sQTLs and are broadly applicable to other tissues and diseases.

genetics↗

Autotaxin may play a Critical Role between the Genetic Risk Factors and Pathogenesis of SLE in Plasmacytoid Dendritic Cells

BackgroundThe importance of autotaxin, an enzyme that catalyzes lysophospholipid production, has recently been recognized in various diseases, including cancer and autoimmune diseases. Herein, we examined the role of autotaxin in systemic lupus erythematosus (SLE), utilizing data from ImmuNexUT, a comprehensive database consisting of transcriptome data and expression quantitative trait locus (eQTL) data of immune cells from patients with immune-mediated disorders. MethodsSerum autotaxin concentrations in patients with SLE and healthy controls (HCs) were compared. The transcriptome data of patients with SLE and age-and sex-matched HCs were obtained from ImmuNexUT. The expression of ENPP2, the gene encoding autotaxin, was examined in peripheral blood immune cells. Next, weighted gene correlation network analysis (WGCNA) was performed to identify genes with expression patterns similar to ENPP2. The ImmuNexUT eQTL database and public epigenomic databases were used to infer the relationship between autotaxin and pathogenesis of SLE. ResultsAutotaxin levels were elevated in the serum of patients with SLE compared to HCs. Furthermore, the expression of ENPP2 was higher in plasmacytoid dendritic cells (pDCs) than in other immune cell subsets, and its expression was elevated in pDCs of patients with SLE compared to HCs. In WGCNA, ENPP2 belonged to a module that correlated with disease activity. This module was enriched in interferon-associated genes and included genes whose expression was influenced by single-nucleotide polymorphisms associated with SLE, suggesting that it is a key module connecting genetic risk factors of SLE with disease pathogenesis. Analysis utilizing the ImmuNexUT eQTL database and public epigenomic databases suggested that the increased expression of ENPP2 in pDCs from patients with SLE may be caused by increased expression of interferon-associated genes and increased binding of STAT3 complexes to the regulatory region of ENPP2. ConclusionsAutotaxin may play a critical role in connecting genetic risk factors of SLE to disease pathogenesis in pDCs.

immunology↗

Immune cell multi-omics analysis reveals contribution of oxidative phosphorylation to B cell functions and organ damage of lupus

ObjectiveSystemic lupus erythematosus (SLE) is the prototypical systemic autoimmune disease, with a poor long-term prognosis. The type I interferon (IFN) signature, a prominent feature of SLE, is not an ideal therapeutic target or outcome predictor. To explore immunological pathways in SLE more precisely, we performed integrative analysis of transcriptomics, epigenomics, and genomics using each immune cell subset from peripheral blood. MethodsWe sorted 18 immune cell subsets and identified the mRNA expression profiles and genetic polymorphisms in 107 SLE patients and 92 healthy controls. Open chromatin information was also taken by ATAC-seq analysis. Combined differentially expressed genes (DEGs) and expression quantitative trait loci (eQTL) analysis was conducted to find key driver genes in SLE pathogenesis. ResultsWe found transcriptomic, epigenetic, and genetic importance of oxidative phosphorylation (OXPHOS)/mitochondrial dysfunction in SLE memory B cells. Particularly, we identified an OXPHOS-regulating gene, PRDX6, as a key driver in SLE B cells. Prdx6-deficient B cells showed upregulated mitochondrial respiration as well as antibody production. We revealed OXPHOS signature was associated with type I IFN signaling-related genes (ISRGs) signature in SLE memory B cells. Furthermore, the gene sets related to innate immune signaling among ISRGs presented correlation with OXPHOS and these two signatures showed associations with SLE organ damage as well as specific clinical phenotypes. ConclusionThis work elucidated the potential prognostic marker for SLE. Since OXPHOS consists of the electron transport chain, a functional unit in mitochondria, these findings suggest the importance of mitochondrial dysfunction as a key immunological pathway involved in SLE.

immunology↗

Synovial fibroblasts contribute to the genetic risk of rheumatoid arthritis through the synergistic action of cytokines

ObjectivesSynovial fibroblasts (SFs) produce a variety of pathogenic molecules in the inflamed synovium of rheumatoid arthritis (RA). We aimed to gain insight into the pathogenic mechanisms of SFs through elucidating the genetic contribution to molecular regulatory networks under inflammatory condition. MethodsSFs from RA and osteoarthritis (OA) patients (n=30 each) were stimulated with 8 different cytokines (IFN-, IFN-{gamma}, TNF-, IL-1{beta}, IL-6/sIL-6R, IL-17, TGF-{beta}1, IL-18) or a combination of all 8 (8-mix). Peripheral blood mononuclear cells (PBMCs) from the same patients were fractioned into five major immune cell subsets (CD4+ T cells, CD8+ T cells, B cells, NK cells, monocytes). Integrative analyses including mRNA expression, histone modifications (H3K27ac, H3K4me1, H3K4me3), 3D genome architecture and genetic variations of SNPs were performed. ResultsSFs exposed to synergistically acting cytokines produced markedly higher levels of pathogenic molecules, including CD40 whose expression was significantly affected by a RA risk SNP (rs6074022). Upon chromatin remodeling in activated SFs, RA risk loci were enriched in clusters of enhancers (super-enhancers; SEs) induced by synergistic proinflammatory cytokines. A RA risk SNP (rs28411362), located in a SE under synergistically acting cytokines, formed three-dimensional contact with the promoter of MTF1 gene, whose binding motif showed significant enrichment in stimulation specific-SEs. Consistently, inhibition of MTF1 suppressed cytokine and chemokine production from SFs and ameliorated mice model of arthritis. ConclusionsOur findings established the dynamic landscape of activated SFs, and yielded potential therapeutic targets associated with genetic risk of RA. Key messagesO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LIIn rheumatoid arthritis (RA), a variety of dysregulated molecules from immune cells and mesenchymal cells drive disease progression. Synovial fibroblasts (SFs), the most abundant resident mesenchymal cells in the inflamed synovium, produce a variety of pathogenic molecules including IL-6. C_LIO_LIGenome-wide association studies (GWAS) have identified more than 100 RA susceptibility loci. To gain insight into the pathogenic mechanisms of SFs, understanding the genetic contribution to molecular regulatory networks under inflammatory condition is crucial. C_LI What does this study add?O_LIIntegrated analyses of activated SFs demonstrated that SFs exposed to synergistically acting cytokines produced markedly higher levels of pathogenic molecules. Some of which were significantly affected by RA risk loci in a stimulation-specific manner. C_LIO_LIChromatin remodeling induced by synergistic proinflammatory cytokines were associated with RA heritability. Some transcription factors (MTF1, RUNX1) could be crucial for this structural rearrangement and the formation of inflammatory arthritis. C_LI How might this impact on clinical practice or future developments?O_LIOur findings established the dynamic landscape of activated SFs, and yielded potential therapeutic targets associated with genetic risk of RA. C_LI

immunology↗