医学部 生化学講座 機能生化学部門

坂下 英司

Eiji Sakashita

基本情報

所属
自治医科大学 生化学講座 機能生化学部門 准教授
学位
博士(理学)(神戸大学)

J-GLOBAL ID
201401075418387120
researchmap会員ID
B000237503

経歴

 1

論文

 22
  • Kosuke Matsuzono, Hiroyuki Honda, Takafumi Mashiko, Reiji Koide, Eiji Sakashita, Hitoshi Endo, Tetsuyuki Kitamoto, Shigeru Fujimoto
    Cellular and molecular life sciences : CMLS 82(1) 202-202 2025年5月15日  
    Only a few reports have generated induced pluripotent stem cells from patients with prion diseases, making it important to conduct translational studies using cells derived from individuals with prion protein (PRNP) mutations. In this study, we established induced pluripotent stem cells from a patient with a glycosylphosphatidylinositol-anchorless PRNP mutation (Y162X), which leads to abnormal deposits of prion protein in various organs. While no abnormal intracellular prion protein deposits were observed in the neurons differentiated from PRNP Y162X induced pluripotent stem cells, extracellular PrP aggregates secretions were significantly increased, and these cells were significantly more sensitive to oxidative stress compared to control cells. Utilizing this PRNP Y162X iPSC-derived neuron model, we discovered that edaravone reduced the sensitivity of PRNP Y162X cells to oxidative stress. Following this finding, we treated a PRNP Y162X patient with edaravone for two years, which successfully suppressed indicators of disease progression. Our study demonstrates that the pathology of the glycosylphosphatidylinositol-anchorless PRNP mutation is associated with oxidative stress and highlights the potential of induced pluripotent stem cell technology in identifying novel treatments for rare prion diseases.
  • Eiji Sakashita, Katsuya Nagatani, Hitoshi Endo, Seiji Minota
    PLOS ONE 19(3) e0299450-e0299450 2024年3月21日  査読有り筆頭著者
    Objectives Compared to conventional disease-modifying antirheumatic drugs (DMARDs), biological DMARDs demonstrate superior efficacy but come with higher costs and increased infection risks. The ability to stop and resume biological DMARD treatment while maintaining remission would significantly alleviate these barriers and anxieties. The objective of this study was to identify biomarkers that can predict an imminent relapse, hopefully enabling the timely resumption of biological DMARDs before relapse occurs. Methods Forty patients with rheumatoid arthritis who had been in remission for more than 12 months were included in the study. The patients discontinued their biological DMARD treatment and were monitored monthly for the next 24 months. Out of the 40 patients, 14 (35%) remained in remission at the end of the 24-month period, while 26 (65%) experienced relapses at different time points. Among the relapse cases, 13 patients experienced early relapse within 6 months, and another 13 patients had late relapse between 6 months and 24 months. Seventy-three cytokines in the sera collected longitudinally from the 13 patients with late relapse were measured by multiplex immunoassay. Using cytokines at two time points, immediately after withdrawal and just before relapse, volcano plot and area under the receiver operating characteristic curves (AUC) were drawn to select cytokines that distinguished imminent relapse. Univariate and multivariate logistic regression analyses were used for the imminent relapse prediction model. Results IL-6, IL-29, MMP-3, and thymic stromal lymphopoietin (TSLP) were selected as potential biomarkers for imminent relapse prediction. All four cytokines were upregulated at imminent relapse time point. Univariate and multivariate logistic regression showed that a combination model with IL-6, MMP-3, and TSLP yielded an AUC of 0.828 as top predictors of imminent relapse. Conclusions This methodology allows for the prediction of imminent relapse while patients are in remission, potentially enabling the implementation of on- and off-treatments while maintaining remission. It also helps alleviate patient anxiety regarding the high cost and infection risks associated with biological DMARDs, which are the main obstacles to benefiting from their superb efficacy.
  • Kaoru Tominaga, Eiji Sakashita, Katsumi Kasashima, Kenji Kuroiwa, Yasumitsu Nagao, Naoki Iwamori, Hitoshi Endo
    International Journal of Molecular Sciences 24(3) 2113-2113 2023年1月20日  
    Epigenetic regulation via epigenetic factors in collaboration with tissue-specific transcription factors is curtail for establishing functional organ systems during development. Brain development is tightly regulated by epigenetic factors, which are coordinately activated or inactivated during processes, and their dysregulation is linked to brain abnormalities and intellectual disability. However, the precise mechanism of epigenetic regulation in brain development and neurogenesis remains largely unknown. Here, we show that Tip60/KAT5 deletion in neural stem/progenitor cells (NSCs) in mice results in multiple abnormalities of brain development. Tip60-deficient embryonic brain led to microcephaly, and proliferating cells in the developing brain were reduced by Tip60 deficiency. In addition, neural differentiation and neuronal migration were severely affected in Tip60-deficient brains. Following neurogenesis in developing brains, gliogenesis started from the earlier stage of development in Tip60-deficient brains, indicating that Tip60 is involved in switching from neurogenesis to gliogenesis during brain development. It was also confirmed in vitro that poor neurosphere formation, proliferation defects, neural differentiation defects, and accelerated astrocytic differentiation in mutant NSCs are derived from Tip60-deficient embryonic brains. This study uncovers the critical role of Tip60 in brain development and NSC maintenance and function in vivo and in vitro.
  • Eiji Sakashita, Katsuya Nagatani, Hitoshi Endo, Seiji Minota
    Scientific Reports 12(1) 16547-16547 2022年10月3日  査読有り筆頭著者
    Abstract Since the advent of biological disease modifying anti-rheumatic drugs (bDMARDs) in the treatment of rheumatoid arthritis (RA), most RA patients receiving such drugs have achieved remission at the expense of cost and infection risk. After bDMARDs are withdrawn, a substantial proportion of patients would have relapses even if they were in complete remission. In our previous report, relapse prediction could be made at the time of bDMARD withdrawal by measuring the serum levels of five cytokines. We report herein that, among 73 cytokines examined, serum levels of only interferon β (IFNβ) at the time of bDMARD withdrawal could predict early relapse (within 5 months) in patients who were categorized to relapse by the five cytokines in our previous report, with a cut-off value of 3.38 in log2 and AUC of 0.833. High serum levels of IFNβ in the early-relapse group remained high until actual relapse occurred. Therefore, patients who relapse early might be biochemically different from those who relapse late or do not relapse at all. We recommend that patients who are predicted to relapse early continue bDMARDs even if they are in complete remission. This finding contributes to shared decision-making regarding how and when bDMARDs should be discontinued.
  • Katsuya Nagatani, Eiji Sakashita, Hitoshi Endo, Seiji Minota
    Scientific Reports 11(1) 20771-20771 2021年10月21日  査読有り筆頭著者
    Biological disease modifying anti-rheumatic drugs (bDMARDs) show dramatic treatment efficacy in rheumatoid arthritis (RA). Long-term use of bDMARDs, however, has disadvantages such as high costs and infection risk. Therefore, a methodology is needed to predict any future RA relapse. Herein, we report a novel multi-biomarker combination which predicts relapse after bDMARDs-withdrawal in patients in remission. Forty patients with RA in remission for more than 12 months were enrolled. bDMARDs were withdrawn and they were followed monthly for the next 24 months. Fourteen patients (35%) of 40 in the cohort remained in remission at 24 months, whereas 26 (65%) relapsed at various time-points. Serum samples obtained longitudinally from patients in remission were assessed for the relapse-prediction biomarkers and index from 73 cytokines by the exploratory multivariate ROC analysis. The relapse-prediction index calculated from the 5 cytokines, IL-34, CCL1, IL-1β, IL-2 and IL-19, strongly discriminated between patients who relapsed and those who stayed in remission. These findings could contribute to clinical decision-making as to the timing of when to discontinue bDMARDs in RA treatment.

MISC

 5

共同研究・競争的資金等の研究課題

 3