Publications by authors named "Ho Jin Choi"

Mill, commonly known as fennel, is an aromatic herb traditionally used for culinary and medicinal purposes, with potential therapeutic effects on neurological disorders. However, limited research has focused on its neurotrophic impact, particularly on neuronal maturation and synaptic development. This study investigates the neurotrophic effects of ethanol extracts (FVSE) on the maturation of rat primary hippocampal neurons.

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  • Active compounds from plants like fennel are gaining attention for their potential to treat cardiovascular diseases (CVDs).
  • The study used an experimental model to assess protective effects against cellular damage caused by hypoxia and found 41 bioactive compounds in fennel.
  • Anethole emerged as the most promising compound, showing the ability to reduce oxidative stress and mitochondrial damage in heart cells, suggesting fennel might be useful in CVD treatments.
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  • Ischemic colitis (IC) is a condition caused by reduced blood flow to the colon, which can result in severe complications, including the need for surgery.
  • This study reviewed the cases of 141 patients diagnosed with IC at a hospital over nearly 20 years, finding key clinical features and risk factors affecting outcomes.
  • Significant findings included that patients with right-sided colon issues, fever, and lack of bleeding were at greater risk for needing surgery, highlighting the importance of a collaborative treatment approach for these patients.
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Background: Pterocarpus santalinus L. essential oil (PSEO) is traditionally employed for treating fever and mental aberrations. We aim to explore the antidepressant potential of intranasal PSEO in social defeat stress (SDS)-expose mice and identify its mechanisms and components.

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Garlic ( L.) is an aromatic herb known for its culinary and medicinal uses for centuries. Both unprocessed (white) and processed (black) garlic are known to protect against the pathobiology of neurological disorders such as Alzheimer's disease (AD) and Parkinson's disease (PD), which has been attributed to their anti-inflammatory and antioxidant properties.

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N-acetylglucosamine kinase (NAGK) has been identified as an anchor protein that facilitates neurodevelopment with its non-canonical structural role. Similarly, small nuclear ribonucleoprotein polypeptide N (SNRPN) regulates neurodevelopment and cognitive ability. In our previous study, we revealed the interaction between NAGK and SNRPN in the neuron.

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Reviving the neuronal functions in neurodegenerative disorders requires the promotion of neurite outgrowth. Thymol, which is a principal component of seed extract (TASE), is reported to have neuroprotective effects. However, the effects of thymol and TASE on neuronal differentiation and outgrowth are yet to be studied.

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  • Various studies on multi-task learning techniques in natural language understanding (NLU) aim to create models that can handle multiple tasks and improve overall performance.
  • The study introduces a new multi-task learning method that incorporates a temporal relation extraction task to enhance understanding of time-related information in documents for both Korean and English datasets.
  • Results show that when temporal relation extraction is combined with other NLU tasks, accuracy improves significantly, highlighting the benefits of this combined approach while also noting linguistic differences between Korean and English that influence the effectiveness of task combinations.
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Several reports have stated the neuroprotective and learning/memory effects of Tachyspermum ammi seed extract (TASE) and its principal component thymol; however, little is known about its underlying molecular mechanisms and neurogenesis potential. This study aimed to provide insights into TASE and a thymol-mediated multifactorial therapeutic approach in a scopolamine-induced Alzheimer's disease (AD) mouse model. TASE and thymol supplementation significantly reduced oxidative stress markers such as brain glutathione, hydrogen peroxide, and malondialdehyde in mouse whole brain homogenates.

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Single nucleotide variations in Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) are associated with many neurodegenerative diseases, including Nasu-Hakola disease (NHD), frontotemporal dementia (FTD), and late-onset Alzheimer's disease because they disrupt ligand binding to the extracellular domain of TREM2. However, the effects of nonsynonymous single nucleotide polymorphisms (nsSNPs) in TREM2 on disease progression remain unknown. In this study, we identified several high-risk nsSNPs in the TREM2 gene using various deleterious SNP predicting algorithms and analyzed their destabilizing effects on the ligand recognizing region of the TREM2 immunoglobulin (Ig) domain by molecular dynamics (MD) simulation.

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Disruptive neuronal migration during early brain development causes severe brain malformation. Characterized by mislocalization of cortical neurons, this condition is a result of the loss of function of migration regulating genes. One known neuronal migration disorder is lissencephaly (LIS), which is caused by deletions or mutations of the (PAFAH1B1) gene that has been implicated in regulating the microtubule motor protein cytoplasmic dynein.

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An enzyme of the mammalian amino-sugar metabolism pathway, -acetylglucosamine kinase (NAGK), that synthesizes -acetylglucosamine (GlcNAc)-6-phosphate, is reported to promote dynein functions during mitosis, axonal and dendritic growth, cell migration, and selective autophagy, which all are unrelated to its enzyme activity. As non-enzymatic structural functions can be altered by genetic variation, we made an effort in this study aimed at deciphering the pathological effect of nonsynonymous single-nucleotide polymorphisms (nsSNPs) in gene. An integrated computational approach, including molecular dynamics (MD) simulation and protein-protein docking simulation, was used to identify the damaging nsSNPs and their detailed structural and functional consequences.

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Mounting evidence support the potential benefits of functional foods or nutraceuticals for human health and diseases. Black cumin ( L.), a highly valued nutraceutical herb with a wide array of health benefits, has attracted growing interest from health-conscious individuals, the scientific community, and pharmaceutical industries.

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Diffuse gliomas are the most common primary brain tumors and they vary considerably in their morphology, location, genetic alterations, and response to therapy. In 2016, the World Health Organization (WHO) provided new guidelines for making an integrated diagnosis that incorporates both morphologic and molecular features to diffuse gliomas. In this study, we demonstrate how deep learning approaches can be used for an automatic classification of glioma subtypes and grading using whole-slide images that were obtained from routine clinical practice.

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Recently, we showed that acetylglucosamine kinase (NAGK), an enzyme of amino sugar metabolism, interacts with dynein light chain roadblock type 1 (DYNLRB1) and promotes the functions of dynein motor. Here, we report that NAGK interacts with nuclear distribution protein C (NudC) and lissencephaly 1 (Lis1) in the dynein complex. Yeast two-hybrid assays, pull-down assays, immunocytochemistry, and proximity ligation assays revealed NAGK-NudC-Lis1-dynein complexes around nuclei, at the leading poles of migrating HEK293T cells, and at the tips of migratory processes of cultured rat neuroblast cells.

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The aberrant accumulation of disease-specific protein aggregates accompanying cognitive decline is a pathological hallmark of age-associated neurological disorders, also termed as proteinopathies, including Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis and multiple sclerosis. Along with oxidative stress and neuroinflammation, disruption in protein homeostasis (proteostasis), a network that constitutes protein surveillance system, plays a pivotal role in the pathobiology of these dementia disorders. Cannabidiol (CBD), a non-psychotropic phytocannabinoid of Cannabis sativa, is known for its pleiotropic neuropharmacological effects on the central nervous system, including the ability to abate oxidative stress, neuroinflammation, and protein misfolding.

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Emerging evidence indicates that neurodegenerative diseases (NDs) result from a failure to clear toxic protein aggregates rather than from their generation. We previously showed N-acetylglucosamine kinase (NAGK) promotes dynein functionality and suggested this might promote aggregate removal and effectively address proteinopathies. Here, we report NAGK interacts with dynein light chain roadblock type 1 (DYNLRB1) and efficiently suppresses mutant huntingtin (mHtt) (Q74) and α-synuclein (α-syn) A53T aggregation in mouse brain cells.

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  • - Marine algae contain bioactive compounds called sterols that show diverse health benefits, particularly in areas like reducing inflammation and supporting cholesterol balance.
  • - This review summarizes the health effects of algal phytosterols, particularly fucosterol, highlighting their roles in combating conditions like diabetes, obesity, and Alzheimer's disease through their antioxidant and anti-inflammatory properties.
  • - The study emphasizes the need for further research on algal sterols’ chemistry and pharmacological mechanisms, as they interact with various proteins crucial for cellular health, pointing to their potential as therapeutic agents.
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  • Recent studies have emphasized the importance of TREM2 genetic variants in Alzheimer's disease, but the harmful effects of variants linked to Nasu-Hakola disease (NHD) are less understood.
  • This research examined four specific NHD-related TREM2 mutations (Y38C, W50C, T66M, and V126G) and found them to significantly affect protein function by altering the structure and movement of specific regions in the protein.
  • The study used predictive tools and molecular dynamics simulations to determine that these mutations lead to structural instability, which could impact ligand binding and contribute to neurodegeneration in affected individuals.
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The theoretical prediction of a display viewing angle control using a guest-host (GH) liquid crystal (LC) cell has been reported by Chen et al. [Jpn. J.

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  • The study focuses on using deep neural networks (DNNs) to create clinical opinions based on general blood test results.
  • It identifies overfitting as a key issue, primarily caused by the complexity of DNNs and a lack of sufficient data.
  • The researchers implement techniques like dropout and batch normalization, which successfully improve the DNNs' performance.
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There are earlier studies for psychiatric counseling using chat bots. These studies have not considered the user's emotional status and ethical judgment to provide interventions. This paper proposes an intelligent assistant for psychiatric counseling that understands dialogues using high-level features of natural language understanding, and multi-modal emotion recognition.

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In the rehabilitation treatment for at-home patients, it is not only costly for a patient to hire a professional therapist or personal trainer, but also time consuming for a therapist or trainer to visit all the patients. To improve the situation, we propose the rehabilitation treatment coach robot which helps the patient to do rehabilitation exercises alone. Designed economically with cheap parts, our robot provides multiple functions: rehabilitation program suggestion, rehabilitation posture correction, and emergency detection.

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It is important to protect health and improve quality of life for people, without causing them inconvenience in today's world. Since most people are living a busy life dealing with various activities at work, school, or home, there is a need for systematic analysis of their life patterns. However, since person's life patterns could change depending on ambient environmental factors, an effective management scheme to specify one's state is required.

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Background: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three types of biometric data, the user's "activeness", and investigates the feasibility in modeling and predicting the long-term activeness of the user.

Methods: The dataset used in this study consisted of several months of biometric time-series data gathered by seven users independently.

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