Expression of Desmoglein 1 Compensates for Genetic Loss of Desmoglein 3 in Keratinocyte Adhesion

The desmoglein compensation hypothesis, namely that one desmoglein can compensate for loss of function of another, has been proposed to explain the tissue specificity of the autoantibody-induced loss of cell adhesion in pemphigus. To validate this hypothesis genetically, we used desmoglein-3 knockout mice (DSG3–/–) that lose their telogen hair prematurely due to loss of adhesion between keratinocytes of the telogen hair club and the outer root sheath, where the only desmoglein expressed in normal mice is desmoglein-3. To determine if desmoglein-1 could substitute for the function of desmoglein-3 in telogen hair, we produced transgenic mice that express desmoglein-1 driven off the keratin 14 promoter, and then bred the transgene (TG) into DSG3–/– mice. Immunoblotting showed transgene expression in skin, and immunofluorescence showed desmoglein-1 in the telogen club of DSG3–/–TG+ but not DSG3–/–TG– mice. DSG3–/–TG– mice lost telogen hair with each wave of telogen, whereas DSG3–/–TG+ mice had markedly delayed and decreased hair loss. DSG3–/– mice also show low weights due to blisters in the oral mucosa. Surprisingly, DSG3–/–TG+ mice showed similar low weights, because the transgene, although expressed in skin, was not well expressed in oral mucous membranes. These studies show that desmoglein-1 can compensate for loss of desmoglein-3-mediated adhesion, and provide genetic evidence confirming the desmoglein compensation hypothesis

Complete in vitro DNA replication of SV40 chromatin in digitonin-treated permeable cells.

A permeable cell system has been developed by treatment with digitonin for studying in vitro DNA replication of chromatin. DNA replication of simian virus 40 nucleoprotein complexes (SV40 chromatin) in digitonin-treated permeable cells was analyzed by electrophoresis in agarose-gel. Autoradiography of the agarose-gel revealed that [32P]dCTP was incorporated in SV40 DNA I, II and replicating intermediates. The time course of the incorporation indicated the complete replication of SV40 DNA and chromatin with a full number of nucleosomes. The digitonin-treated permeable cell system will serve as a useful system for studying in vitro DNA replication of chromatin.</p

A computational model based on corticospinal functional MRI revealed asymmetrically organized motor corticospinal networks in humans

新規MRI技術で利き手の神経制御メカニズムを解明 --手指運動中の脳・脊髄機能結合パターンの左右差を世界で初めて計測--. 京都大学プレスリリース. 2022-08-08.Evolution of the direct, monosynaptic connection from the primary motor cortex to the spinal cord parallels acquisition of hand dexterity and lateralization of hand preference. In non-human mammals, the indirect, multi-synaptic connections between the bilateral primary motor cortices and the spinal cord also participates in controlling dexterous hand movement. However, it remains unknown how the direct and indirect corticospinal pathways work in concert to control unilateral hand movement with lateralized preference in humans. Here we demonstrated the asymmetric functional organization of the two corticospinal networks, by combining network modelling and simultaneous functional magnetic resonance imaging techniques of the brain and the spinal cord. Moreover, we also found that the degree of the involvement of the two corticospinal networks paralleled lateralization of hand preference. The present results pointed to the functionally lateralized motor nervous system that underlies the behavioral asymmetry of handedness in humans

Basal ganglia-cortical connectivity underlies self-regulation of brain oscillations in humans

Brain-Computer Interface操作の得手不得手に関わる脳回路を発見 --操作を「考える」か「感じる」か、個人差に合わせた技術開発へ期待--. 京都大学プレスリリース. 2022-08-10.Brain-computer interfaces provide an artificial link by which the brain can directly interact with the environment. To achieve fine brain-computer interface control, participants must modulate the patterns of the cortical oscillations generated from the motor and somatosensory cortices. However, it remains unclear how humans regulate cortical oscillations, the controllability of which substantially varies across individuals. Here, we performed simultaneous electroencephalography (to assess brain-computer interface control) and functional magnetic resonance imaging (to measure brain activity) in healthy participants. Self-regulation of cortical oscillations induced activity in the basal ganglia-cortical network and the neurofeedback control network. Successful self-regulation correlated with striatal activity in the basal ganglia-cortical network, through which patterns of cortical oscillations were likely modulated. Moreover, basal ganglia-cortical network and neurofeedback control network connectivity correlated with strong and weak self-regulation, respectively. The findings indicate that the basal ganglia-cortical network is important for self-regulation, the understanding of which should help advance brain-computer interface technology

Interactions across emotional, cognitive and subcortical motor networks underlying freezing of gait

Freezing of gait (FOG) is a gait disorder affecting patients with Parkinson's disease (PD) and related disorders. The pathophysiology of FOG is unclear because of its phenomenological complexity involving motor, cognitive, and emotional aspects of behavior. Here we used resting-state functional MRI to retrieve functional connectivity (FC) correlated with the New FOG questionnaire (NFOGQ) reflecting severity of FOG in 67 patients with PD. NFOGQ scores were correlated with FCs in the extended basal ganglia network (BGN) involving the striatum and amygdala, and in the extra-cerebellum network (CBLN) involving the frontoparietal network (FPN). These FCs represented interactions across the emotional (amygdala), subcortical motor (BGN and CBLN), and cognitive networks (FPN). Using these FCs as features, we constructed statistical models that explained 40% of the inter-individual variances of FOG severity and that discriminated between PD patients with and without FOG. The amygdala, which connects to the subcortical motor (BGN and CBLN) and cognitive (FPN) networks, may have a pivotal role in interactions across the emotional, cognitive, and subcortical motor networks. Future refinement of the machine learning-based classifier using FCs may clarify the complex pathophysiology of FOG further and help diagnose and evaluate FOG in clinical settings

Maximizing the First-Year Planning Period for Scholarly Publications: Implications for Prospective CYFAR Grant Recipients

One of CYFAR\u27s unique features is the built-in planning year for all grant recipients. We present our evaluation team’s approach during year 1 to establish a foundation and plan for scholarly publications during funding years 2–5. The systematic literature review provided the team with a better understanding of the culture and context of the project’s target population. Collaboration between PI/Co-PI and Evaluator served as a powerful tool to achieving this goal. Not only does this model benefit future CYFAR grant recipients’ and Extension professionals’ curriculum development and program evaluation, it can also inform recruitment efforts and community partnership development

Neural mechanisms underlying deafferentation pain: a hypothesis from a neuroimaging perspective

Deafferentation pain following nerve injury annoys patients, and its management is a challenge in clinical practice. Although the mechanisms underlying deafferentation pain remain poorly understood, progress in the development of multidimensional neuroimaging techniques is casting some light on these issues. Deafferentation pain likely results from reorganization of the nervous system after nerve injury via processes that interact with the substrates for pain perception (the pain matrix). Therapeutic effects of motor cortex stimulation on deafferentation pain suggest that the core mechanisms underlying deafferentation pain also interact with the motor system. Therefore, simultaneous neuroimaging and brain stimulation, an emerging neuroimaging technique, was developed to investigate complicated interactions among motor, somatosensory, and pain systems. In healthy participants, parts of the pain matrix (the anterior cingulate cortex, parietal operculum, and thalamus) show activity during both somatosensory stimulation and brain stimulation to the motor cortex. This finding indicates that motor, somatosensory, and pain systems communicate among each other via the neural network. A better understanding of the plastic mechanisms influencing such cross-talk among these systems will help develop therapeutic interventions using brain stimulation and neurofeedback

Large Ulceration of the Oropharynx Induced by Methotrexate-Associated Lymphoproliferative Disorders

We present a case of a 67-year-old Japanese man with a serious oropharyngeal ulceration that at first seemed to be destructive malignant lymphoma or oropharyngeal carcinoma. We suspected methotrexate (MTX)-associated lymphoproliferative disorder (LPD) induced by MTX treatment for rheumatoid arthritis (RA). About 3 weeks after simple discontinuation of MTX, complete regression of the disease was observed, confirming our diagnosis

Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy

Introduction: Investigating the pathological mechanisms of developmental disorders is a challenge because the symptoms are a result of complex and dynamic factors such as neural networks, cognitive behavior, environment, and developmental learning. Recently, computational methods have started to provide a unified framework for understanding developmental disorders, enabling us to describe the interactions among those multiple factors underlying symptoms. However, this approach is still limited because most studies to date have focused on cross-sectional task performance and lacked the perspectives of developmental learning. Here, we proposed a new research method for understanding the mechanisms of the acquisition and its failures in hierarchical Bayesian representations using a state-of-the-art computational model, referred to as in silico neurodevelopment framework for atypical representation learning. Methods: Simple simulation experiments were conducted using the proposed framework to examine whether manipulating the neural stochasticity and noise levels in external environments during the learning process can lead to the altered acquisition of hierarchical Bayesian representation and reduced flexibility. Results: Networks with normal neural stochasticity acquired hierarchical representations that reflected the underlying probabilistic structures in the environment, including higher-order representation, and exhibited good behavioral and cognitive flexibility. When the neural stochasticity was high during learning, top-down generation using higher-order representation became atypical, although the flexibility did not differ from that of the normal stochasticity settings. However, when the neural stochasticity was low in the learning process, the networks demonstrated reduced flexibility and altered hierarchical representation. Notably, this altered acquisition of higher-order representation and flexibility was ameliorated by increasing the level of noises in external stimuli. Discussion: These results demonstrated that the proposed method assists in modeling developmental disorders by bridging between multiple factors, such as the inherent characteristics of neural dynamics, acquisitions of hierarchical representation, flexible behavior, and external environment.journal articl