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Tsutsui, M.

Publications and source records attributed to Tsutsui, M..

4 recordsLinked to original sources

Characterizing in vivo degradation of electrospun biodegradable nanofibers by size-exclusion chromatography

Biodegradable electrospun nanofiber (NF) scaffolds have emerged as promising materials for tissue engineering applications, including vascular grafts, because their mechanical properties and degradability can be tuned. However, their in vivo degradation behavior remains poorly understood. In this study, we characterized the in vivo degradation profiles of representative biodegradable NF materials widely used in small-caliber vascular graft research, namely polycaprolactone (PCL), poly(D,L-lactide) (PLA), polyglycolic acid (PGA), and a PCL/PLA blend, by monitoring molecular weight changes in subcutaneous and vascular environments. Electrospun NF sheets were implanted subcutaneously in mice, and tubular NF grafts were implanted into the abdominal aorta of rats. Samples were harvested for up to 48 weeks after implantation and analyzed primarily by size-exclusion chromatography (SEC) to assess time-dependent changes in molecular weight. Scanning electron microscopy (SEM) and solid-state 13C nuclear magnetic resonance (NMR) were additionally performed to evaluate ultrastructural and chemical changes associated with degradation. SEC analysis revealed distinct material-specific degradation patterns. PCL showed the slowest degradation and retained a relatively high weight-average molecular weight (Mw) in both environments. PLA exhibited marked environment dependence, with near-complete degradation in the subcutaneous environment by 48 weeks, whereas scaffold structure was maintained in the vascular environment. The PCL/PLA blend showed earlier reduction in the high-molecular-weight fraction than PCL, indicating faster scaffold breakdown. PGA degraded most rapidly and could not be evaluated beyond 2 weeks in the subcutaneous model or in the vascular model because of early graft rupture. SEM analysis further demonstrated that progressive loss of fibrous ultrastructure over time was a common feature across all materials. In addition, NF scaffolds became resistant to organic solvent after implantation in vivo, and solid-state 13C NMR analysis of the solvent-insoluble fractions detected polymer-derived signals together with additional signals consistent with biological constituents. These findings indicate that in vivo degradation of biodegradable NF scaffolds is material dependent, environment dependent, and more complex than simple hydrolytic chain cleavage alone. This study provides a quantitative framework for evaluating NF degradability and offers new insight into the design of biodegradable vascular grafts. HighlightsO_LISEC quantified long-term in vivo degradation of PCL, PLA, PGA, and PCL/PLA. C_LIO_LIDegradation was both material dependent and implantation environment dependent. C_LIO_LIIn vivo nanofiber degradation involved structural and chemical changes beyond hydrolysis. C_LI

bioengineering↗

Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling

MotivationComplex gene regulatory networks (GRNs) underlie most disease processes, and understanding disease-specific network structures and dynamics is crucial for developing effective treatments. Yet, literature-based analyses of GRNs often treat gene regulations as context-independent interactions, overlooking how their biological relevance can differ depending on the disease type, cell lineage, or experimental condition. ResultsIn an attempt to improve on existing methods for leveraging knowledge present in the scientific literature, we developed a framework to assign quantitative, context-dependent weights to gene regulations extracted from literature. We demonstrate that the context-specific GRNs reconstructed with our method can effectively capture disease biology, showing strong correlation with transcriptomics across a wide range of diseases. Furthermore, we show that utilizing contextual information improves accuracy in drug-target prediction tasks. Finally, we showcase the utility of the contextualized GRNs through the automated construction of an ordinary differential equation model of a breast cancer-specific signaling network. The large language model-based framework allows the integration of literature- and experimentally derived information and streamlines the process of assembling a biologically relevant and functional mathematical model. Our findings indicate the importance of considering the context when making biological predictions, and we demonstrate the use of natural language processing tools to effectively mine associations between gene regulations and biological contexts. Availability and implementationAll reproducibility code is available at https://github.com/okadalabipr/context-dependent-GRNs, along with the automated mathematical model construction package at https://github.com/okadalabipr/BioMathForge. The dataset used in this study is available at Zenodo, DOI: 10.5281/zenodo.16416117.

bioinformatics↗

Long-term impact of early life stress on serotonin connectivity

Chronic childhood stress is a prominent risk factor for developing mood disorders, yet mechanisms underlying this association remain unclear. Serotonin (5-HT) plays a crucial role in neurodevelopment and vulnerability to mood disorders. Maintenance of optimal 5-HT levels during early postnatal development is critical for the maturation of brain circuits. Developmental stress can alter the serotonin system, leading to chronic behavioral deficits. Yet, our understanding of the long-term impact of early life stress (ELS) on serotonin connectivity remains incomplete. Using a mouse model of chronic developmental stress, we sought to determine how ELS impacts brain-wide serotonin activity and behavior in adulthood. We established that adult female and male mice exposed to ELS during the first postnatal week show heightened anxiety-like behavior. Using in vivo fiber photometry and c-fos dependent activity mapping, we found that ELS enhances susceptibility to acute stress by disrupting the brain-wide functional connectivity of the raphe nucleus and the activity of dorsal raphe serotonin neuron population, in conjunction with a profound increase in the orbitofrontal cortex (OFC) activity. We further identified that 5-HT release in the medial OFC during environmental challenge is disrupted in mice exposed to ELS. Optogenetic stimulation of 5-HT terminals in the mOFC elicited an anxiolytic effect in ELS mice in a sex-dependent manner. Our findings hold significant insight into the mechanisms underlying long-term brain connectivity deficits induced by ELS, with potential implications for developing targeted stimulation-based treatments for affective disorders that arise from early life adversities.

neuroscience↗

Sex-dependent role of hypocretin/orexin neurons in social behavior

Intraspecies social interactions are integral for survival and maintenance of society among all mammalian species. Yet, our understanding of the neural systems and mechanisms involved in the establishment of social connectedness are limited. Since their initial discovery as regulators of sleep/wakefulness and appetite in the brain, the hypocretin/orexin neurons have also been shown to play an essential role in modulating energy homeostasis, motivated and emotional behavior. These neurons are located exclusively in the hypothalamus which, regulates complex and goal-directed behaviors. The hypothalamus also plays an important role in the modulation of social behavior by encoding internal states. However, our understanding of the role of hypocretin neurons in social behavior is currently limited. To address this knowledge gap, we performed a combination of fiber photometry and machine learning based behavioral analysis in female and male mice expressing GCaMP6s in hypocretin neurons. We then applied optogenetic and pharmacological inhibition of hypocretin neuron signaling to determine the necessity of the hcrt neuron population for social behavior. Our results indicate that hypocretin neurons exhibit a robust increase in activity in response to social interaction in both female and male mice. We show here for the first time a social discrimination signal that is encoded differentially by hcrt neurons based on the nature of the social encounter. The intensity of the hcrt neuron activity predicts the subsequent duration of social interaction. The optogenetic inhibition of hypocretin neuron activity during social behavior leads to a reduction in the amount of time mice are engaged in social interaction in males but not in females. Blocking hcrt1 (orexin 1) receptors similarly reduces social interaction in males only. Reduced hcrt1 receptor signaling results in increased activity in the insular cortex and reduced activity in the VTA after social interaction in male mice. Together, these data implicate the lateral hypothalamus hypocretin neurons as a sexually dimorphic key regulator within the larger network of neural systems involved in social behavior. Our findings carry significant implications for the treatment of neuropsychiatric diseases characterized by social dysfunction, particularly considering the varying prevalence observed across different sexes.

neuroscience↗