KEIO RESEARCHERS INFORMATION SYSTEM

Other Affiliation 【 Display / hide 】

Other Affiliation 【 Display / hide 】

• 医学部, 循環器内科学教室, 特任講師

Career 【 Display / hide 】

Career 【 Display / hide 】

• 2006.04

  -

  2008.03

  栃木県済生会宇都宮病院, 初期臨床研修医

• 2008.04

  -

  2009.03

  慶應義塾大学病院 内科学教室, 専修医

• 2009.04

  -

  2011.03

  Keio University, School of Medicine, 「幹細胞医学のための教育研究拠点」研究員

• 2011.04

  -

  2012.03

  Keio University, 医学研究科, 助教（研究奨励）

• 2012.04

  -

  2014.03

  Keio University, School of Medicine Department of Internal Medicine (Cardiology), 助教

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Academic Background 【 Display / hide 】

Academic Background 【 Display / hide 】

• 1998.04

  -

  2000.03

  慶應義塾高等学校

• 2000.04

  -

  2006.03

  Keio University, School of Medicine

• 2008.04

  -

  2012.03

  Keio University, Graduate School of Medicine, 内科学

Academic Degrees 【 Display / hide 】

Academic Degrees 【 Display / hide 】

• Doctor(Medicine), Keio University, Coursework, 2014.09

  Time-lapse imaging of cell cycle dynamics during development in living cardiomyocyte

Licenses and Qualifications 【 Display / hide 】

Licenses and Qualifications 【 Display / hide 】

• 医師免許, 2006

• 日本内科学会　認定内科医, 2009

• 日本循環器学会　循環器専門医, 2013

• Educational Commission for Foreign Medical Graduates Certificate, 2015

• 日本内科学会　総合内科専門医, 2019

Research Areas 【 Display / hide 】

Research Areas 【 Display / hide 】

• Life Science / Molecular biology (エピジェネティクス)

• Life Science / Genome biology

• Life Science / Developmental biology (心臓発生)

• Life Science / Anatomy

• Life Science / Pathological biochemistry

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Research Keywords 【 Display / hide 】

Research Keywords 【 Display / hide 】

• エピジェネティクス

• リプログラミング

• 再生医療

• 分子生物学

• 幹細胞

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Papers 【 Display / hide 】

Papers 【 Display / hide 】

• Endothelial-fibroblast interactions during Scarb1 accelerate heart failure

  Toshiomi Katsuki, Dai Kusumoto, Yohei Akiba, Mai Kimura, Jin Komuro, Takahiro Nakamura, Hisayuki Hashimoto, Thukaa Kuoka, Yutaka Suzuki, Yoshiaki Kubota, Keiichi Fukuda, Shinsuke Yuasa, Masaki Ieda

  (Cold Spring Harbor Laboratory)   2023.09

  　View Summary

  Summary
  
  Endothelial cells (ECs) maintain cardiac homeostasis and EC dysfunction causes heart failure progression. Moreover, pathological changes occur via interactions between multiple cells, including ECs. Here, we conducted single-cell RNA-seq analysis of non-cardiomyocytes in mouse hearts during heart failure progression to elucidate the pathological changes in ECs and fibroblasts (FBs) mediated by cell-cell interactions. We show that capillary and arterial ECs exhibit mesenchymal gene expression changes with heart failure progression, indicating that endothelial-to-mesenchymal transition (EndMT) is a major pathological alteration in ECs. We also found that the interaction between ECs and FBs was enriched during heart failure, particularly when involving Scavenger Receptor Class B Member 1 (Scarb1) in ECs. FBs induce mesenchymal gene alterations in ECs in the EC-FB co-culture system, which is inhibited by blocking SCARB1. RNA-seq analysis showed that administration of a SCARB1 inhibitor blocked mesenchymal gene expression, and inflammatory changes, suggesting that the EC-FB interaction via Scarb1 is important for EndMT induction in ECs. Systemic administration of a SCARB1 inhibitor attenuated heart failure progression and cardiac fibrosis. EC-specificScarb1knockout mouse showed improved cardiac function, suggesting a crucial role of Scarb1 in heart failure progression. Our results suggest that Scarb1 is a promising candidate for novel heart failure treatments that target ECs.

  • Access to Document (DOI)

• Machine learning in cardiology: Clinical application and basic research

  Jin Komuro, Dai Kusumoto, Hisayuki Hashimoto, Shinsuke Yuasa

  Journal of Cardiology (Elsevier BV)  82 ( 2 ) 128 - 133 2023.08

  ISSN  0914-5087

  　View Summary

  Machine learning is a subfield of artificial intelligence. The quality and versatility of machine learning have been rapidly improving and playing a critical role in many aspects of social life. This trend is also observed in the medical field. Generally, there are three main types of machine learning: supervised, unsupervised, and reinforcement learning. Each type of learning is adequately selected for the purpose and type of data. In the field of medicine, various types of information are collected and used, and research using machine learning is becoming increasingly relevant. Many clinical studies are conducted using electronic health and medical records, including in the cardiovascular area. Machine learning has also been applied in basic research. Machine learning has been widely used for several types of data analysis, such as clustering of microarray analysis and RNA sequence analysis. Machine learning is essential for genome and multi-omics analyses. This review summarizes the recent advancements in the use of machine learning in clinical applications and basic cardiovascular research.

  • Access to Document (DOI)

• MEF2C/p300-mediated epigenetic remodeling promotes the maturation of induced cardiomyocytes

  Hidenori Kojima, Taketaro Sadahiro, Naoto Muraoka, Hiroyuki Yamakawa, Hisayuki Hashimoto, Ryota Ishii, Masahiko Gosho, Yuto Abe, Yu Yamada, Koji Nakano, Seiichiro Honda, Ryo Fujita, Tatsuya Akiyama, Yoichi Sunagawa, Tatsuya Morimoto, Toshifumi Tsukahara, Hiroyuki Hirai, Keiichi Fukuda, Masaki Ieda

  Stem Cell Reports (Elsevier BV)  18 ( 6 ) 1274 - 1283 2023.06

  ISSN  2213-6711

  　View Summary

  Cardiac transcription factors (TFs) directly reprogram fibroblasts into induced cardiomyocytes (iCMs), where MEF2C acts as a pioneer factor with GATA4 and TBX5 (GT). However, the generation of functional and mature iCMs is inefficient, and the molecular mechanisms underlying this process remain largely unknown. Here, we found that the overexpression of transcriptionally activated MEF2C via fusion of the powerful MYOD transactivation domain combined with GT increased the generation of beating iCMs by 30-fold. Activated MEF2C with GT generated iCMs that were transcriptionally, structurally, and functionally more mature than those generated by native MEF2C with GT. Mechanistically, activated MEF2C recruited p300 and multiple cardiogenic TFs to cardiac loci to induce chromatin remodeling. In contrast, p300 inhibition suppressed cardiac gene expression, inhibited iCM maturation, and decreased the beating iCM numbers. Splicing isoforms of MEF2C with similar transcriptional activities did not promote functional iCM generation. Thus, MEF2C/p300-mediated epigenetic remodeling promotes iCM maturation.

  • Access to Document (DOI)

• Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning

  Jin Komuro, Yuta Tokuoka, Tomohisa Seki, Dai Kusumoto, Hisayuki Hashimoto, Toshiomi Katsuki, Takahiro Nakamura, Yohei Akiba, Thukaa Kuoka, Mai Kimura, Takahiro Yamada, Keiichi Fukuda, Akira Funahashi, Shinsuke Yuasa

  Biochemical and Biophysical Research Communications (Elsevier BV)  632   181 - 188 2022.12

  ISSN  0006-291X

  　View Summary

  The number of patients with heart failure and related deaths is rapidly increasing worldwide, making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure, but its treatment has not yet been fully successful. In this study, we established a system to evaluate cardiomyocyte hypertrophy using a deep learning-based high-throughput screening system and identified drugs that inhibit it. First, primary cultured cardiomyocytes from neonatal rats were stimulated by both angiotensin II and endothelin-1, and cellular images were captured using a phase-contrast microscope. Subsequently, we used a deep learning model for instance segmentation and established a system to automatically and unbiasedly evaluate the cardiomyocyte size and perimeter. Using this system, we screened 100 FDA-approved drugs library and identified 12 drugs that inhibited cardiomyocyte hypertrophy. We focused on ezetimibe, a cholesterol absorption inhibitor, that inhibited cardiomyocyte hypertrophy in a dose-dependent manner in vitro. Additionally, ezetimibe improved the cardiac dysfunction induced by pressure overload in mice. These results suggest that the deep learning-based system is useful for the evaluation of cardiomyocyte hypertrophy and drug screening, leading to the development of new treatments for heart failure.

  • Access to Document (DOI)

• Single cell解析に基づく心不全特異的な線維芽細胞集団を標的とした心不全の新規治療戦略

  小室 仁, 橋本 寿之, 勝木 俊臣, 楠本 大, 湯浅 慎介, 福田 恵一

  心臓 ((公財)日本心臓財団)  54 ( 12 ) 1405 - 1405 2022.12

  ISSN  0586-4488

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Papers, etc., Registered in KOARA 【 Display / hide 】

Papers, etc., Registered in KOARA 【 Display / hide 】

• Dissecting the cardiogenic network of ZNF281

  Hashimoto, Hisayuki

  科学研究費補助金研究成果報告書 2021

• Dissecting novel transcriptional networks of heart development

  Hashimoto, Hisayuki

  学事振興資金研究成果実績報告書 (慶應義塾大学)  2021

• Mining for transcriptional regulators of the cardiac conduction system based on cardiac reprogramming

  Hashimoto, Hisayuki

  学事振興資金研究成果実績報告書 (慶應義塾大学)  2020

• Mining for transcriptional regulators of the cardiac conduction system based on cardiac reprogramming

  Hashimoto, Hisayuki

  学事振興資金研究成果実績報告書 (慶應義塾大学)  2019

• Disease modeling for mitochondrial disease using MELAS specific induced pluripotent stem cells

  Hashimoto, Hisayuki

  科学研究費補助金研究成果報告書 2014

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Reviews, Commentaries, etc. 【 Display / hide 】

Reviews, Commentaries, etc. 【 Display / hide 】

• Epigenetic barrier against the propagation of fluctuating gene expression in embryonic stem cells

  Saito Y., Kunitomi A., Seki T., Tohyama S., Kusumoto D., Takei M., Kashimura S., Hashimoto H., Yozu G., Motoda C., Shimojima M., Egashira T., Oda M., Fukuda K., Yuasa S.

  FEBS Letters (FEBS Letters)  591 ( 18 ) 2879 - 2889 2017.09

  ISSN  00145793

  　View Summary

  © 2017 Federation of European Biochemical Societies The expression of pluripotency genes fluctuates in a population of embryonic stem (ES) cells and the fluctuations in the expression of some pluripotency genes correlate. However, no correlation in the fluctuation of Pou5f1, Zfp42, and Nanog expression was observed in ES cells. Correlation between Pou5f1 and Zfp42 fluctuations was demonstrated in ES cells containing a knockout in the NuRD component Mbd3. ES cells containing a triple knockout in the DNA methyltransferases Dnmt1, Dnmt3a, and Dnmt3b showed correlation between the fluctuation of Pou5f1, Zfp42, and Nanog gene expression. We suggest that an epigenetic barrier is key to preventing the propagation of fluctuating pluripotency gene expression in ES cells.

  • Access to Document (DOI)

• Induction of Cardiac Cell Types by Direct Reprogramming

  Hisayuki Hashimoto, Huanyu Zhou, Maria G. Morales, Maria Abad, Rhonda Bassel-Duby, Eric N. Olson

  CIRCULATION RESEARCH (LIPPINCOTT WILLIAMS & WILKINS)  119 ( 12 ) E168 - E168 2016.12

  Research paper, summary (international conference), Joint Work,  ISSN  0009-7330

• Novel Method 'Fucci' Elucidated the Cardiomyocyte Cell Cycle Dynamics in Various Life Stages

  Hisayuki Hashimoto, Shinsuke Yuasa, Shugo Tohyama, Tomohisa Seki, Toru Egashira, Kojiro Yae, Dai Kusumoto, Masaki Kodaira, Fumiyuki Hattori, Naoto Muraoka, Hidenori Tabata, Kazunori Nakajima, Asako Sakaue-Sawano, Atsushi Miyawaki, Keiichi Fukuda

  CIRCULATION (LIPPINCOTT WILLIAMS & WILKINS)  122 ( 21 )  2010.11

  Research paper, summary (international conference), Joint Work,  ISSN  0009-7322

• ヒトiPS由来心筋細胞の電気生理学的特性について

  遠山 周吾, 村田 光繁, 黒川 洵子, Fernando Lopez-Redondo, 服部 文幸, 水澤 美香, 山川 裕之, 橋本 寿之, 江頭 徹, 関 朋久, 扇野 泰行, 八戸 宏二郎, 湯浅 慎介, 福田 恵一

  心電図 ((一社)日本不整脈心電学会)  30 ( Suppl.4 ) S - 4 2010.09

  Other, Joint Work,  ISSN  0285-1660

• Functional Characterization of Human Induced Pluripotent Stem Cell Derived Cardiomyocytes

  Shugo Tohyama, Mitsushige Murata, Fumiyuki Hattori, Tomofumi Tanaka, Hao Chen, Hiromi Yamashita, Yusuke Sato, Toru Egashira, Tomohisa Seki, Hisayuki Hashimoto, Yohei Ohno, Yuichi Tamura, Shinsuke Yuasa, Satoshi Ogawa, Keiichi Fukuda

  CIRCULATION (LIPPINCOTT WILLIAMS & WILKINS)  120 ( 18 ) S723 - S723 2009.11

  Research paper, summary (international conference), Joint Work,  ISSN  0009-7322

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Presentations 【 Display / hide 】

Presentations 【 Display / hide 】

• Dissecting the Molecular Mechanism of Cardiac Reprogramming by Epigenetic Analysis

  Hisayuki Hashimoto

  日本再生医療学会, 

  2020.03

  , 

  Oral presentation (invited, special)

• エピジェネティクス解析を用いた心筋リプログラミングの分子機構の解明

  橋本　寿之

  [Domestic presentation]  第40回日本循環制御医学会　総会・学術集会, 

  2019.06

  , 

  Oral presentation (general)

• Synergistic Activation of the Cardiac Enhancer Landscape During Reprogramming

  Hashimoto Hisayuki

  [Domestic presentation]  The 83rd Annual Scientific Meeting of the Japanese Circulation Society, 

  2019.03

  , 

  Oral presentation (general)

• Induction of Cardiac Cell Types by Direct Reprogramming

  Hashimoto Hisayuki

  [International presentation]  American Heart Association Scientific Sessions, 

  2016.11

  , 

  Poster presentation

• Induction of Diverse Cardiac Cell Types by Direct Reprogramming

  Hashimoto Hisayuki

  [International presentation]  American Heart Association Scientific Council on Basic Cardiovascular Sciences, 

  2016.07

  , 

  Oral presentation (invited, special)

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

Research Projects of Competitive Funds, etc. 【 Display / hide 】

• Studying Molecular Mechanisms in Organ Development and Disease Onset Using Cellular Reprogramming

  2025.04

  -

  2028.03

  基盤研究(B), Principal investigator

• 細胞移植療法の最適化に向けた生体内移植細胞の非侵襲的検出技術の開発

  2023.06

  -

  2026.03

  日本学術振興会, Grants-in-Aid for Scientific Research, Grant-in-Aid for Challenging Research (Exploratory), No Setting

  　View Summary

  細胞移植療法はがんのみならず、様々な分野での臨床応用が期待されている。このような中、我々はヒトにおいて生体内の移植細胞を非侵襲的に評価できるシステムがあれば、臨床試験の成果をより有効に活用し、細胞移植療法の改善点を明らかにできると考えた。
  よって、本研究の目的はヒトiPS細胞に特異的なマーカー蛋白を発現させ、このマーカーを非侵襲的な方法で検出する事により、移植した細胞を生体内で非侵襲的に評価する方法を確立する事である。

• Dissecting the transcriptional network of organogenesis based on reprogramming factors

  2022.04

  -

  2025.03

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), No Setting

  　View Summary

  我々は線維芽細胞から心筋細胞を作製する直接分化転換法の研究において、幹細胞の多能性維持に働く転写因子Zfp281に非常に強い心筋分化転換作用がある事を見出した。そして予備実験においてZfp281が心筋分化と心臓発生に必須な因子であることも示唆されている。
  よって、本研究ではこのZfp281と心臓形成の予想外な関連性に着目し、様々な遺伝子改変マウス及び遺伝子発現・エピゲノム解析を用いて、Zfp281を中心とした心臓形成の新たな転写制御機構を明らかにする。そして、最終的には研究成果を心疾患の新たな分子機序解明や心臓再生技術の開発へと発展させることを目指す。

• 中胚葉において循環器形成細胞が誘導される分子基盤解明

  2022

  -

  2023

  公益財団法人 循環器病研究振興財団, 山内進循環器病研究助成, Principal investigator

• エピゲノム編集による心筋分化転換法の確立

  2021

  -

  2023

  日本循環器学会, 基礎研究助成, Principal investigator

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Awards 【 Display / hide 】

Awards 【 Display / hide 】

• Basic Cardiovascular Sciences Scientific Session 2022 Outstanding Early Career Investigator Award

  2022.07, American Heart Association

• Basic Cardiovascular Sciences Scientific Session 2022 Paul Dudley White International Scholar

  2022.07, American Heart Association

• 医学研究賞

  橋本 寿之, 2021.03, 東京都医師会

• 循環器再生医科学賞

  橋本 寿之, 2020.08, 日本循環器学会

• Keio University School of Medicine Alumni Association (Sanshikai) Young Investigator Award

  2020.04, Keio University

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Courses Taught 【 Display / hide 】

Courses Taught 【 Display / hide 】

• PATHOPHYSIOLOGICAL ISSUES IN CHRONIC CARE

  2025

• PATHOPHYSIOLOGICAL ISSUES IN CHRONIC CARE

  2024

• PATHOPHYSIOLOGICAL ISSUES IN CHRONIC CARE

  2023

• PHYSICAL ASSESSMENT

  2022

• PATHOPHYSIOLOGICAL ISSUES IN CHRONIC CARE

  2022

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Courses Previously Taught 【 Display / hide 】

Courses Previously Taught 【 Display / hide 】

• Medical Engineering in Cardiology

  Keio University School of Nursing

  2022

  -

  Present

  , 

  Postgraduate

• Chronic Pathophysiology

  Keio University School of Nursing

  2022

  -

  Present

  , 

  Undergraduate (specialized)

• Phyisical Assessment in Cardiology

  Keio University School of Nursing

  2022

  -

  Present

  , 

  Postgraduate

• OSCE(Objective Structured Clinical Examination)

  Keio University

  2018

  -

  Present

• Cardiology

  Keio University

  2018

  -

  Present

Educational Activities and Special Notes 【 Display / hide 】

Educational Activities and Special Notes 【 Display / hide 】

• OSCE

  2020

  , Special Affairs about A person who has work experience

• 医学部カリキュラム委員

  2019

  -

  2020

  , Special Affairs

Memberships in Academic Societies 【 Display / hide 】

Memberships in Academic Societies 【 Display / hide 】

• 日本再生医療学会, 

  2020.03

  -

  Present