Juntendo Medical Journal
Online ISSN : 2188-2126
Print ISSN : 2187-9737
ISSN-L : 2187-9737
Volume 69, Issue 4
Displaying 1-9 of 9 articles from this issue
Contents
Perspectives: 358th Triannual Meeting of the Juntendo Medical Society “Farewell Lectures of Retiring Professors” [1]
  • TOSHIHITO SUZUKI
    2023 Volume 69 Issue 4 Pages 284-292
    Published: 2023
    Released on J-STAGE: August 31, 2023
    Advance online publication: August 25, 2023
    JOURNAL OPEN ACCESS

    After graduating from University of Tsukuba in 1982, I joined the Department of Psychiatry at the same university. Due to the anti-psychiatry social movement and reports of incidents involving violence against in-hospital patients at psychiatric hospitals, psychiatric associations in Japan faced questions related to ethical awareness, making it a challenging environment for conducting clinical research. For this reason, the first half of my journey─my 20 years at the University of Tsukuba─was spent conducting basic research on animal models of schizophrenia. With respect to the onset of schizophrenia, I studied dopamine and related neuropeptides in the brain, as well as abnormalities in neurotransmission in the excitatory and inhibitory amino acid neurotransmission systems.

    In April 2002, I was appointed as a Department Chair at Juntendo University Koshigaya Hospital. I was responsible for overseeing many medical staff, including the clinical education of practicum students and resident physicians, as well as the training of psychiatric specialists. I was also involved in the management and operation of medical services provided at the mental health clinic that had 350 outpatients per day and saw the admission and discharge of 500 patients annually. Meanwhile, I became actively involved in activities related to perinatal mental health. In 2018, I was appointed as the Director of the Japanese Society of Perinatal Mental Health and worked diligently to improve medical care related to perinatal mental health in Japan through the development of perinatal mental health guidelines.

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  • MASAAKI NOGUCHI
    2023 Volume 69 Issue 4 Pages 293-299
    Published: 2023
    Released on J-STAGE: August 31, 2023
    Advance online publication: August 25, 2023
    JOURNAL OPEN ACCESS

    It has been about 40 years since I graduated from Juntendo University School of Medicine in 1983. For 5 years after graduation, I was engaged in research on glycolipids in the Biochemistry Unit of the University of Tokyo. Later, I wrote and published papers on glycolipids. Eventually, I began to work here at the Department of Hematology. In 2000, in the 17th year after my graduation, I began to work at the Department of Hematology, Juntendo University Urayasu Hospital, as the only physician stationed there. I had to work long hours, until late night, to manage the many inpat As described in our department’s homepage, 145 (64%) of the 227 presentations made at professional society meetings were made by residents. During this period, 15 new residents joined this department. In 2015, contributions by residents were accepted for publication by high-impact-factor journals, such as the Journal of Clinical Oncology. With the support of our Chairman Ogawa, in April 2023, I began to work as a specially appointed professor at the current department. Recently, I have begun to feel deeply grateful for Juntendo university’s academic motto of “Benevolence,” its principle of “Uninterrupted Advancing,” and its academic position of “three noes principle, Sanmu Principle (no discrimination based on gender, nationality, or academic background)”. I hope that you will all remain active under these principles and ideas, while taking due care of your own health. I wish to express my appreciation for your continued support and cooperation.

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Original Articles
  • KANA KATO, HINATA NISHIMURA, YUJI SUZUKI, TAKAHIRO TANAKA, RYUSEI ABE, ...
    2023 Volume 69 Issue 4 Pages 300-306
    Published: 2023
    Released on J-STAGE: August 31, 2023
    Advance online publication: June 22, 2023
    JOURNAL OPEN ACCESS

    Objectives The mechanisms of mental and neurological diseases have been proposed to be related not only to disorders of the neurons but also to the environment surrounding neurons, such as glial cells and the extracellular matrix (ECM). The chondroitin sulfate (CS) chain, which comprises CS proteoglycans (CSPGs), is one of the major sulfated glycosaminoglycans in the brain. CSPGs play an important role in the development, aging, and pathological conditions of the central nervous system. In particular, CSPGs play critical roles in oligodendrocyte differentiation and cell activity. Conventional two-dimensional culture in a glass chamber hardly replicates the complexity of the ECM structure or mimics in vivo conditions. Therefore, to solve this issue, this study aimed to use a culture system with decellularized tissue as a scaffold of organized ECM, thereby enabling the observation of cell differentiation and interactions between cells and the surrounding ECM.

    Materials and Methods We investigated the differentiation potential of the OLP6 cell line using decellularized brain tissue as the substrate.

    Results We observed that OLP6 differentiated faster on decellularized brain tissues than on conventional 2D-coated surfaces. The relative mRNA expression levels of CNP, PNP, and MBP as well as CSPGs were increased under 3D culture conditions.

    Conclusions Our study provides the first evidence of the advantages of cell culture on decellularized tissues for the investigation of oligodendrocyte differentiation and cell/ECM interactions.

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  • YOSHINORI HAMA, HIROAKI ITOH, SACHIKO NAKAGAMI, TAIGA CHIBA, SOSHI DOH ...
    2023 Volume 69 Issue 4 Pages 307-318
    Published: 2023
    Released on J-STAGE: August 31, 2023
    Advance online publication: July 24, 2023
    JOURNAL OPEN ACCESS

    Objectives Despite the rapid aging of the population in Japan, clinical predictors for major adverse cerebrovascular and cardiovascular events (MACCE) in patients with new onset of acute coronary syndromes (ACS) have not been well studied. This study therefore aimed to identify the predictors of MACCE in the first onset of ACS patients requiring care.

    Materials and Methods Using the Yokohama Original Medical Database, we identified 3,373 patients who experienced a first onset of ACS and had certified care information from April 2014 to March 2016. The incidence proportion of MACCE from June 2014 to March 2018 was retrospectively investigated. Each patient’s independence of daily living (IDL) was classified as one of three categories (reference, mild and severe).

    Results Predictors of MACCE were identified using multivariate logistic regression analysis. Impaired IDL was associated with increased MACCE, with adjusted odds ratios for reference, mild and severe of 1.00, 1.35 (95% confidence intervals 1.14-1.60) and 2.12 (95% confidence intervals 1.61-2.80; P for trend < 0.001), respectively.

    Conclusions This study revealed that male sex, chronic kidney disease, atrial fibrillation, high-intensity statin use, low-intensity statin use, and lower IDL (representing less independence) were the predictors of MACCE requiring care for a first onset of ACS. Further research will be required to understand the results of interventions for the identified predictors of MACCE.

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Reviews
  • YUYA SAITO, KOJI KAMAGATA, TOSHIAKI AKASHI, AKIHIKO WADA, KEIGO SHIMOJ ...
    2023 Volume 69 Issue 4 Pages 319-326
    Published: 2023
    Released on J-STAGE: August 31, 2023
    Advance online publication: August 25, 2023
    JOURNAL OPEN ACCESS

    Brain-computer interfaces (BCI) enable direct communication between the brain and a computer or other external devices. They can extend a person’s degree of freedom by either strengthening or substituting the human peripheral working capacity. Moreover, their potential clinical applications in medical fields include rehabilitation, affective computing, communication, and control. Over the last decade, noninvasive BCI systems such as electroencephalogram (EEG) have progressed from simple statistical models to deep learning models, with performance improvement over time and enhanced computational power. However, numerous challenges pertaining to the clinical use of BCI systems remain, e.g., the lack of sufficient data to learn more possible features for robust and reliable classification. However, compared with fields such as computer vision and speech recognition, the training samples in the medical BCI field are limited as they target patients who face difficulty generating EEG data compared with healthy control. Because deep learning models incorporate several parameters, they require considerably more data than other conventional methods. Thus, deep learning models have not been thoroughly leveraged in medical BCI. This study summarizes the state-of-the-art progress of the BCI system over the last decade, highlighting critical challenges and solutions.

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