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Shibuya, K.

Publications and source records attributed to Shibuya, K..

11 recordsLinked to original sources

Multimodal phenotyping reveals plant-food-related dietary information in serum Raman spectra of community-dwelling Japanese adults

Healthy dietary patterns are associated with long-term health, but diet-quality scores do not reveal how habitual dietary information is represented in human biological phenotypes. Here we linked habitual dietary assessment with preceding health records and contemporaneous clinical chemistry, serum metabolomics and serum Raman spectra in community-dwelling Japanese adults. Higher diet quality corresponded to a more favorable preceding health profile, but did not define discrete states across contemporary multivariate phenotypes. Instead, specific dietary information was recoverable across these layers: Raman spectra provided predictive information complementary to clinical and metabolomic measurements for multiple dietary variables. Raman variation corresponding to {beta}-carotene equivalent could be traced to carotenoid-assigned bands and aligned with a broader plant-food-related dietary dimension. These findings show that habitual diet is represented not as a single biological state but through biologically traceable dietary dimensions distributed across complementary phenotypic layers.

bioinformatics↗

CD300a Blockade attenuates renal fibrosis by enhancing macrophage efferocytosis and neutrophil MMP9 production

Renal fibrosis represents an irreversible endpoint of chronic kidney disease. Although macrophage efferocytosis regulates the response to acute renal injury, the mechanisms by which early efferocytosis confers long-term protection against chronic fibrosis remain elusive. Here, we show that phagocyte-specific deletion of the inhibitory receptor CD300a (Cd300afl/flLyz2-Cre) mitigates obstructive renal injury and subsequent fibrosis. CD300a deficiency enhanced efferocytosis by tissue-resident macrophages during the early phase of injury, thereby suppressing the release of damage-associated molecular patterns (DAMPs) and TGF-{beta} expression. This early attenuation of the inflammatory microenvironment altered the composition of recruited neutrophils, shifting them from profibrotic SiglecF+ toward non-profibrotic SiglecF- subsets. Furthermore, loss of CD300a cell-autonomously primed neutrophils for enhanced matrix metalloproteinase-9 (MMP9) production upon injury, whereas neutrophil depletion abolished the protective effect of CD300a deficiency. Importantly, administration of a neutralizing anti-CD300a antibody to wild-type mice recapitulated these protective effects, promoting the shift toward SiglecF- neutrophils and significantly attenuating renal fibrosis. Together, our findings identify CD300a as a regulator of early macrophage efferocytosis and neutrophil-derived MMP9 production, and establish pharmacological CD300a blockade as a potential therapeutic strategy for progressive renal fibrosis.

immunology↗

Soluble CD155 immune complexes reprogram DNAM-1 signaling to potentiate antitumor immunity

Resistance to immune checkpoint inhibitors (ICIs) remains a major challenge in oncology, yet the mechanisms that selectively disable activating pathways are poorly defined. Here, we identify tumor-derived soluble CD155 (sCD155) as a systemic checkpoint that rewires DNAM-1 signaling to drive immunotherapy resistance. High plasma sCD155 levels correlate with impaired anti-PD-1 responses in patients with non-small cell lung cancer. Mechanistically, sCD155 selectively suppresses DNAM-1-dependent activation of CD8+ T and NK cells, uncoupling ICIs from cytotoxic function. Intriguingly, a selective anti-sCD155 monoclonal antibody does not neutralize the ligand, but rather converts it into an activating scaffold. This complex induces Fc{gamma}R-anchored DNAM-1 microcluster formation and robust downstream signaling, effectively switching the checkpoint into a co-stimulatory signal. This reprogramming restores CTL function, suppresses metastasis, and augments PD-1/TIGIT blockade to achieve durable immunity. Our findings establish antibody-mediated receptor architecture rewiring as a therapeutic principle to overcome cancer immune resistance.

immunology↗

DNAM-1 immunoreceptor integrates innate and adaptive immune programs to drive intestinal inflammation

Innate and adaptive immune responses play critical roles in the pathogenesis of inflammatory bowel disease (IBD), yet the molecular pathways integrating these responses remain elusive. Here, we identify DNAM-1 immunoreceptor as a central driver of colitis through distinct, cell type-specific mechanisms. Transcriptomic analyses of human and murine group 3 innate lymphoid cells (ILC3s) revealed DNAM-1 as a conserved IL-23-responsive surface molecule associated with inflammatory cytokine production. In an innate immune-driven anti-CD40 monoclonal antibody (mAb)-induced colitis model, DNAM-1 expressed on ILC3s promoted intestinal inflammation by enhancing IL-22 and GM-CSF production via the integration of the Akt-mTORC1-HIF-1 signaling pathway. Genetic ablation or antibody-mediated blockade of DNAM-1 attenuated inflammatory cytokine production and disease severity. Paradoxically, in T cell-dependent colitis, DNAM-1 expression on dendritic cells, but not on ILC3s or CD4 T cells, exacerbated disease by promoting dendritic cell activation and pathogenic Th1 and Th17 differentiation. Notably, therapeutic blockade of DNAM-1 ameliorated disease in both colitis models and exerted complementary effects when combined with anti-TNF therapy, accompanied by modulation of immune activation programs distinct from those regulated by TNF inhibition. Collectively, these findings establish DNAM-1 as a pivotal regulator of intestinal inflammation bridging innate and adaptive immunity and identify DNAM-1 blockade as a next-generation therapeutic strategy for IBD. Highlight{blacktriangleright} DNAM-1 is an IL-23-responsive receptor conserved in human and mouse ILC3s. {blacktriangleright}DNAM-1 on ILC3s drives innate colitis via Akt-mTORC1-HIF-1 signaling. {blacktriangleright}DNAM-1 on DCs promotes T cell-dependent colitis by inducing Th1/Th17 cells. {blacktriangleright}DNAM-1 blockade targets immune pathways distinct from TNF inhibition. {blacktriangleright}Combined DNAM-1 and TNF blockade shows additive therapeutic efficacy in colitis.

immunology↗

Longitudinal analysis of antibody titers after primary and booster mRNA COVID-19 vaccination can identify individuals at risk for breakthrough infection

A key issue in the post-COVID-19 era is the ongoing administration of COVID-19 vaccines. Repeated vaccination is essential for preparing against currently circulating and newly emerging SARS-CoV-2 variants while enabling people to continue with daily life. Optimizing vaccination strategies is crucial to efficiently manage medical resources and establish an effective vaccination framework. Therefore, it is important to quantitatively understand vaccine-induced immunity dynamics and to be able to identify poor responders with lower sustained antibody titers as potential priorities for revaccination. We investigated longitudinal antibody titer data in a cohort of 2,526 people in Fukushima, Japan, from April 2021 to November 2022 for whom basic demographic and health information was available. Using mathematical modeling and machine learning, we stratified the time-course patterns of antibody titers after 2 primary doses and 1 booster dose of mRNA COVID-19 vaccines. We identified 3 notable populations, which we refer to as the durable, the vulnerable, and the rapid-decliner populations, approximately half of which remained in the same population after the booster dose. Notably, the rapid-decliner population experienced earlier infections than the others. Furthermore, when comparing IgG(S) titers, IgA(S) titers, and T-spot counts between participants who experienced breakthrough infections after booster vaccination and those who did not, we found that IgA(S) titers were significantly lower in breakthrough infected participants during the early stage after booster vaccination. Our computational approach is adaptable to various types of vaccinations. This flexibility can inform policy decisions on vaccine distribution to enhance immunity both in future pandemics and in the post-COVID-19 era.

immunology↗

G307S DNAM-1 mutation exacerbates autoimmune encephalomyelitis via enhancing CD4+ T cell activation

Although rs763361, which causes a non-synonymous glycine-to-serine mutation at residue 307 (G307S mutation) of the DNAM-1 immunoreceptor, is a single-nucleotide polymorphism (SNP) associated with autoimmune disease susceptibility, little is known about how the SNP is involved in pathogenesis. Here, we established CD4+ T cells expressing wild-type or G307S DNAM-1 and showed that the costimulatory signal from G307S DNAM-1 induced greater pro-inflammatory cytokine production and cell proliferation than that from wild-type DNAM-1. The G307S mutation also enhanced the recruitment of the tyrosine kinase Lck and augmented tyrosine phosphorylation at residue 322 (Tyr322) of DNAM-1. However, conversion of Tyr322 of DNAM-1 to phenylalanine (Y322F mutation) canceled the enhanced activation of CD4+ T cell transfectants expressing G307S DNAM-1. Adoptive transfer of myelin-antigen-specific CD4+ T cells expressing G307S DNAM-1 into mice exacerbated experimental autoimmune encephalomyelitis compared with the transfer of cells expressing wild-type DNAM-1. These findings suggest that rs763361 is a gain-of-function mutation that enhances DNAM-1-mediated costimulatory signaling for proinflammatory responses.

immunology↗

Exponentiating pixel values for data augmentation to improve deep learning image classification in chest X-rays

A previous study reported that exponentiating pixel values of a medical can be used for DA through enhancing contrast of the image. However, it is still unclear whether exponentiating pixel values of CXR images can be used for DA with CNN. The aim of this study is to evaluate the effectiveness of exponentiating pixel values for DA using CNN in the task of classifying normal and abnormal CXR images. In constructing an image for DA, each pixel value of the original images was exponentiated by the exponent ranging from 1 to 10, incrementing by 0.5. We call this image as exponentiated image (EI). For each exponent (1.0, 1.5, 1.5, 2.0,..., 10.0), the CNN model was trained using the original training dataset and EI for 40 epochs. Test accuracy was calculated at the end of each epoch using the test dataset. The maximum test accuracy (MTA) among the 40 test accuracies was saved for statistical analysis. This process was repeated 50 times for each exponent (1.0, 1.5, 1.5, 2.0,..., 10.0). The mean MTA for each exponent (1.5, 1.5, 2.0,..., 10.0) was compared using Students t-test, to that of 1.0. The mean MTA when the exponent was 1.0 was 0.749 (reference). The mean MTA was higher than the reference at exponent values 4.5(MTA=0.762, p-value=0.014), 5.0(0.762, 0.019), 5.5(0.772, 2.9 x 10-5), and 6.5(0.763, 0.010). Exponentiating pixel values can be used for DA with CNN to classify normal and abnormal CXR images.

bioinformatics↗

Interleukin-11 is a Marker for Both Cancer- and Inflammation-Associated Fibroblasts that Contribute to Colorectal Cancer Progression

Interleukin (IL)-11 is a member of the IL-6 family of cytokines and involved in multiple cellular responses, including tumor development. However, the origin and functions of IL-11-producing (IL-11+) cells are not fully understood. To characterize IL-11+ cells in vivo, we generated Il11 reporter mice. IL-11+ cells appeared in the colon of three murine tumor models, and a murine acute colitis model. Il11ra1 or Il11 deletion attenuated the development of colitis-associated colorectal cancer. IL-11+ cells expressed fibroblast markers, and genes associated with cell proliferation and tissue repair. IL-11 induced STAT3 phosphorylation in colonic fibroblasts, suggesting the activation of IL-11+ fibroblasts. Analysis using the human cancer database revealed that genes enriched in IL-11+ fibroblasts were elevated in human colorectal cancer, and correlated with reduced disease-free survival. Together, our results suggested that tumor cells induced IL-11+ fibroblasts, and that a feed-forward loop between IL-11 and IL-11+ fibroblasts might contribute to tumor development.

cancer biology↗

Identifying conserved molecular targets required for cell migration of glioblastoma cancer stem cells

Glioblastoma (GBM) is the most prevalent primary malignant brain tumor and is associated with extensive tumor cell infiltration into the adjacent brain parenchyma. However, there are limited targeted therapies that address this disease hallmark. While the invasive capacity of self-renewing cancer stem cells (CSCs) and their non-CSC progeny has been investigated, the mode(s) of migration used by CSCs during invasion is currently unknown. Here we used time-lapse microscopy to evaluate the migratory behavior of CSCs, with a focus on identifying key regulators of migration. A head-to-head migration assay demonstrated that CSCs are more invasive than non-CSCs. Time-lapse live cell imaging further revealed that GBM patient-derived CSC models either migrate in a collective manner or in a single cell fashion. To uncover conserved molecular regulators responsible for collective cell invasion, we utilized the genetically tractable Drosophila border cell collective migration model. Candidates for functional studies were generated using results from a targeted Drosophila genetic screen followed by gene expression analysis of the human homologs in GBM tumors and associated GBM patient prognosis. This strategy identified the highly conserved small GTPase, Rap1a, as a potential regulator of cell invasion. Alteration of Rap1a activity impaired the forward progress of Drosophila border cells during development. Rap1a expression was elevated in GBM and associated with higher tumor grade. Functionally, the levels of activated Rap1a impacted CSC migration speed out of spheres onto extracellular matrix. The data presented here demonstrate that CSCs are more invasive than non-CSCs, are capable of both collective and single cell migration, and express conserved genes that are required for migration and invasion. Using this integrated approach, we identified a new role for Rap1a in the migration of GBM CSCs.

cancer biology↗

Trends and projections of universal health coverage indicators in Ghana, 1995-2030: A national and subnational study

Ghana has made significant stride towards universal health coverage (UHC) by implementing the National Health Insurance Scheme (NHIS) in 2003. This paper investigates the progress of UHC indicators in Ghana from 1995 to 2030 and makes future predictions up to 2030 to assess the probability of achieving UHC targets. National representative surveys of Ghana were used to assess health service coverage and financial risk protection. The analysis estimated the coverage of 13 prevention and four treatment service indicators at the national level and across wealth quintiles. In addition, this analysis calculated catastrophic health payments and impoverishment to assess financial hardship and used a Bayesian regression model to estimate trends and future projections as well as the probabilities of achieving UHC targets by 2030. Wealth-based inequalities and regional disparities were also assessed. At the national level, 14 out of the 17 health service indicators are projected to reach the target of 80% coverage by 2030. Across wealth quintiles, inequalities were observed amongst most indicators with richer groups obtaining more coverage than their poorer counterparts. Subnational analysis revealed while all regions will achieve the 80% coverage target with high probabilities for prevention services, the same cannot be applied to treatment services. In 2015, the proportion of households that suffered catastrophic health payments and impoverishment at a threshold of 25% non-food expenditure were 1.9% (95%CrI: 0.9-3.5) and 0.4% (95%CrI: 0.2-0.8), respectively. These are projected to reduce to less than 0.5% by 2030. Inequality measures and subnational assessment revealed that catastrophic expenditure experienced by wealth quintiles and regions are not equal. Significant improvements were seen in both health service coverage and financial risk protection as a result of NHIS. However, inequalities across wealth quintiles and at the subnational level continue to be cause of concerns. Further efforts are needed to narrow these inequality gaps.

scientific communication and education↗

A long-chain fatty acid elongase Elovl6 regulates mechanical damage-induced keratinocyte death and skin inflammation

Mechanical damage on the skin not only affect the barrier function but also induce various immune responses, which trigger or exacerbate the inflammation in healthy individuals and patients with inflammatory skin diseases. However, how mechanical damage-induced skin inflammation is regulated remains largely unknown. Here, we show that mechanical damage due to tape stripping triggered keratinocyte death and release of danger-associated molecular patterns (DAMPs) such as high-mobility group box 1 protein (HMGB-1) and IL-1, which induced production of proinflammatory cytokines and chemokines IL-1{beta} and CXCL-1 by keratinocytes in mice. We also show that a long-chain fatty acid elongase Elovl6 is expressed in keratinocytes. Mice deficient in Elovl6 had increased epidermal levels of cis-vaccenic acid (CVA); this accelerated keratinocyte death triggered by tape stripping and release of DAMPs and exacerbated skin inflammation. Our results demonstrate that Elovl6 regulates mechanical damage-triggered keratinocyte death and skin inflammation.

immunology↗