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Biology subjects

Morita, H.

Publications and source records attributed to Morita, H..

9 recordsLinked to original sources

Coupling Mechanical Regulation with Biochemical Reaction-Diffusion Circuits Yields Robust Self-Organized Pattern Formation.

Cell-cell signaling circuits that combine local self-activation with long-range inhibition have long been proposed as a theoretical mechanism sufficient to generate cellular patterns, such as spots and stripes. Here we construct synthetic pattern-forming circuits, implementing local self-activation (positive feedback) using juxtacrine synNotch receptor interactions, and implementing long-range inhibition using diffusible competitor molecules. While combining local positive feedback with long-range inhibition leads to more spatially heterogeneous cell states, these synthetic circuits do not robustly lead to well defined patterns. We find, however, that if we couple these reaction-diffusion circuits with induction of genes that regulate cell mechanics - such Cadherin molecules that promote local cell adhesion and sorting - we observed the emergence of much more well-defined cellular patterns. Theoretical analysis indicates while reaction-diffusion circuits can be sufficient to generate patterns under precisely balanced parameter conditions, the close coupling of cell mechanical/sorting significantly increases the robustness of pattern formation (the parameter space yielding patterns). Thus, circuits that closely integrate signaling and mechanical changes may underlie many evolved morphogenic pattern formation systems.

synthetic biology↗

A newly developed model of atherosclerosis caused by the stress of metabolic syndrome in apolipoprotein E knockout mouse

BackgroundAtherosclerotic disease is influenced by multiple factors including hypertension, dyslipidemia, and diabetes and it is rarely due to a single pathology in clinical conditions. In this study, we created a mouse model of metabolic syndrome and aimed to elucidate the mechanism of atherosclerosis in metabolic syndrome. MethodsTwelve-week-old male apolipoprotein E knockout mice were fed a high-fat diet to produce dyslipidemia, administered angiotensin II continuously to develop hypertension, and infused with streptozotocin intraperitoneally at 18 weeks to produce diabetes mellitus for metabolic syndrome (METS) mice. Control (CTL), high-fat diet alone, angiotensin II alone, and streptozotocin alone mice were also produced and the results in the various groups were compared. ResultsThe METS group showed increased body weight, blood pressure, and serum total cholesterol. The METS group exhibited a significantly higher rate of atherosclerosis formation than the CTL group (METS; 25.7{+/-}11.6 %, CTL: 3.3{+/-}1.5 %, p<0.001). The expressions of nicotinamide adenine dinucleotide phosphate oxidase 2, nuclear factor-kappa B1, and matrix metalloproteinase-2 in the METS group were significantly higher than those in the CTL group by reverse transcription-polymerase chain reaction analysis. ConclusionsThe METS model mouse showed severe atherosclerosis caused by oxidative stress, inflammation, and atherosclerotic plaque formation. This model is expected to be useful as a model that more closely resembles the pathophysiology of clinical atherosclerosis. PerspectiveO_ST_ABSWhat Is New?C_ST_ABSThis study introduces a novel metabolic syndrome mouse model that closely resembles human atherosclerosis by integrating hypertension, dyslipidemia, and diabetes into an apolipoprotein E knockout mouse. What Are the Clinical Implications?The metabolic syndrome mouse model demonstrates severe atherosclerosis driven by oxidative stress and inflammation, making it a valuable tool for testing therapeutic strategies targeting metabolic syndrome-related cardiovascular diseases.

animal behavior and cognition↗

Unsupervised deep learning enables blur-free super-resolution in two-photon microscopy

We developed an unsupervised deep learning method to simultaneously perform deblurring, super-resolution, and segmentation of two-photon microscopy images. Two-photon microscopy is an excellent technique for non-invasively observing deep biological tissues, but blurring during deep imaging has been a challenge. Conventional deblurring methods have limited performance and are not suitable for deblurring two-photon microscopy images. Moreover, methods that simultaneously perform segmentation, which is usually required in downstream analysis, have not been developed. Therefore, in this method (TENET), we precisely modeled the blur of two-photon microscopy and simultaneously achieved deblurring, super-resolution, and segmentation through unsupervised deep learning. In simulation and experimental data, we achieved deblurring, resolution improvement, and segmentation accuracy surpassing conventional methods. Furthermore, we applied the method to live imaging of microglia, enabling quantitative 3D morphological analysis that was previously difficult. This method allows non-invasive visualization of detailed structures in deep biological tissues, and is expected to lead to a more high-definition understanding of biological phenomena. Future applications to time-series morphological analysis of microglia are anticipated.

bioinformatics↗

Effects of enhanced insect feeding on the faecal microbiota and transcriptome of a family of captive common marmosets (Callithrix jacchus)

Common marmosets have been widely used in biomedical research for years. Nutritional control is an important factor in managing their health, and insect intake would be beneficial for that purpose because common marmosets frequently feed on insects in natural habitats. Here, we examined the effect of enhanced insect feeding on the gut by analysing the faecal microbiota and transcripts of captive marmosets. A family consisting of six marmosets was divided into two groups. During the seven-day intervention period, one group (the insect feeding group, or Group IF) was fed one cricket and one giant mealworm per marmoset per day, while the other (the control group, or Group C) was not fed these insects. RNA was extracted from faecal samples to evaluate the ecology and transcripts of the microbiota, which were then compared among time points before (Pre), immediately after (Post), and two weeks after intervention (After) by total RNA sequencing. The gut microbiota of marmosets showed Firmicutes, Actinobacteria, Bacteroidetes, and Proteobacteria as dominant phyla. Linear discriminant analysis showed differential characteristics of microbiota with and without insect feeding treatment. Further analysis of differentially expressed genes revealed increases and decreases in Bacteroidetes and Firmicutes, respectively, corresponding to the availability of insects under both Post and After conditions. Significant changes specific to insect feeding were also detected within the transcriptome, some of which were synchronized with the fluctuations in the microbiota, suggesting a functional correlation or interaction between the two. The rapid changes in the microbiota and transcripts may be deeply connected to the original microbiota community shaped by marmoset feeding ecology in the wild. The results were informative for identifying the physiological impact of insect feeding to produce a better food regimen and for detecting transcripts that are currently unidentifiable.

physiology↗

Distribution of ACE2, CD147, cyclophilins, CD26 and other SARS-CoV-2 associated molecules in human tissues and immune cells in health and disease

BackgroundMorbidity and mortality from COVID-19 caused by novel coronavirus SARS-CoV-2 is accelerating worldwide and novel clinical presentations of COVID-19 are often reported. The range of human cells and tissues targeted by SARS-CoV-2, its potential receptors and associated regulating factors are still largely unknown. The aim of our study was to analyze the expression of known and potential SARS-CoV-2 receptors and related molecules in the extensive collection of primary human cells and tissues from healthy subjects of different age and from patients with risk factors and known comorbidities of COVID-19. MethodsWe performed RNA sequencing and explored available RNA-Seq databases to study gene expression and co-expression of ACE2, CD147 (BSG), CD26 (DPP4) and their direct and indirect molecular partners in primary human bronchial epithelial cells, bronchial and skin biopsies, bronchoalveolar lavage fluid, whole blood, peripheral blood mononuclear cells (PBMCs), monocytes, neutrophils, DCs, NK cells, ILC1, ILC2, ILC3, CD4+ and CD8+ T cells, B cells and plasmablasts. We analyzed the material from healthy children and adults, and from adults in relation to their disease or COVID-19 risk factor status. ResultsACE2 and TMPRSS2 were coexpressed at the epithelial sites of the lung and skin, whereas CD147 (BSG), cyclophilins (PPIA and PPIB), CD26 (DPP4) and related molecules were expressed in both, epithelium and in immune cells. We also observed a distinct age-related expression profile of these genes in the PBMCs and T cells from healthy children and adults. Asthma, COPD, hypertension, smoking, obesity, and male gender status generally led to the higher expression of ACE2- and CD147-related genes in the bronchial biopsy, BAL or blood. Additionally, CD147-related genes correlated positively with age and BMI. Interestingly, we also observed higher expression of ACE2- and CD147-related genes in the lesional skin of patients with atopic dermatitis. ConclusionsOur data suggest different receptor repertoire potentially involved in the SARS-CoV-2 infection at the epithelial barriers and in the immune cells. Altered expression of these receptors related with age, gender, obesity and smoking, as well as with the disease status might contribute to COVID-19 morbidity and severity patterns.

immunology↗

Bacteroides uniformis enhances endurance exercise performance through gluconeogenesis

Athletes require high levels of energy to exercise under extreme conditions. Gut microbiota supplies energy to the host; however, the mechanism how gut microbiota contribute in the athlete is unclear. In this study, we determined that gut microbiota of Japanese long-distance runners differed from that of non-athletes, and the Bacteroides uniformis cell number in the feces correlated with 3,000-m race time. Mice administrated with B. unformis extended the swimming time to exhaustion. Furthermore, acetate and propionate concentrations in the cecum increased in B. uniformis-administered mice subjected to weekly exercise. Expression levels of carnitine palmitoyl transferase la and phosphoenolpyruvate carboxykinase genes were elevated in the liver, suggesting that acetate and propionate produced by B. uniformis improve endurance exercise performance, at least in part, through enhancing gluconeogenesis. In addition, -cyclodextrin administration increased B. uniformis and improved the performance in humans and mice, thus it is a candidate substance enhancing exercise performance through modification of gut microbiota.

microbiology↗

Population-specific and transethnic genome-wide analyses reveal distinct and shared genetic risks of coronary artery disease

To elucidate the genetics of coronary artery disease (CAD) in the Japanese population, we conducted a large-scale genome-wide association study (GWAS) of 168,228 Japanese (25,892 cases and 142,336 controls) with genotype imputation using a newly developed reference panel of Japanese haplotypes including 1,782 CAD cases and 3,148 controls. We detected 9 novel disease-susceptibility loci and Japanese-specific rare variants contributing to disease severity and increased cardiovascular mortality. We then conducted a transethnic meta-analysis and discovered 37 additional novel loci. Using the result of the meta-analysis, we derived a polygenic risk score (PRS) for CAD, which outperformed those derived from either Japanese or European GWAS. The PRS prioritized risk factors among various clinical parameters and segregated individuals with increased risk of long-term cardiovascular mortality. Our data improves clinical characterization of CAD genetics and suggests the utility of transethnic meta-analysis for PRS derivation in non-European populations.

genetics↗

Transethnic meta-analysis of genome-wide association studies identifies three new loci and characterizes population-specific differences for coronary artery disease

BackgroundGenome-wide association studies (GWAS) provided many biological insights into coronary artery disease (CAD), but these studies were mainly performed in Europeans. GWAS in diverse populations have the potential to advance our understanding of CAD.\n\nMethods and ResultsWe conducted two GWAS for CAD in the Japanese population, which included 12,494 cases and 28,879 controls, and 2,808 cases and 7,261 controls, respectively. Then, we performed transethnic meta-analysis using the results of the CARDIoGRAMplusC4D 1000 Genomes meta-analysis with UK Biobank. We identified 3 new loci on chromosome 1q21 (CTSS), 10q26 (WDR11-FGFR2), and 11q22 (RDX-FDX1). Quantitative trait locus analyses suggested the association of CTSS and RDX-FDX1 with atherosclerotic immune cells. Tissue/cell type enrichment analysis showed the involvement of arteries, adrenal glands and fat tissues in the development of CAD. Finally, we performed tissue/cell type enrichment analysis using East Asian-frequent and European-frequent variants according to the risk allele frequencies, and identified significant enrichment of adrenal glands in the East Asian-frequent group while the enrichment of arteries and fat tissues was found in the European-frequent group. These findings indicate biological differences in CAD susceptibility between Japanese and Europeans.\n\nConclusionsWe identified 3 new loci for CAD and highlighted the genetic differences between the Japanese and European populations. Moreover, our transethnic analyses showed both shared and unique genetic architectures between the Japanese and Europeans. While most of the underlying genetic bases for CAD are shared, further analyses in diverse populations will be needed to elucidate variations fully.

genetics↗

Nanopore formation in the cuticle of the insect olfactory sensillum

Insects sense odorants through small (50-200-nm diameter) pores in the cuticle covering the olfactory sensilla. These nanopores serve as a filter, preventing the entry of larger airborne particles and limiting water loss. Here we show that the nanopores in Drosophila originate from a curved ultrathin film formed in the outermost layer of the cuticle, secreted from specialized plasma membrane protrusions. The gore-tex/Osiris23 gene, encoding an endosomal protein, is required for nanopore formation and odor receptivity, and is expressed specifically in developing olfactory shaft cells. The 24-member Osiris gene family is expressed in various cuticle-secreting cells, and is found only in insect genomes. Some Osiris mutants show defective cuticle-associated functions, suggesting that Osiris genes may provide a platform for investigating functional surface nano-fabrication in insects.\n\nOne Sentence SummaryAn insect-specific endosomal protein promotes the formation of nano-scale pore structures of the apical extracellular matrix.

developmental biology↗