2025/10/23 更新

写真a

モリモト ダイサク
森本 大作
Morimoto Daisaku
所属
学術研究院医療開発領域 助教(特任)
職名
助教(特任)
外部リンク

学位

  • 博士(医学) ( 2021年3月   岡山大学 )

研究キーワード

  • 酸化ストレス

  • 慢性肺疾患

  • 新生児薬物離脱症候群

  • 機械学習

研究分野

  • ライフサイエンス / 胎児医学、小児成育学  / 新生児学

学歴

  • 岡山大学   Graduate School of Medicine , Dentistry and Pharmaceutical Sciences   Pediatrics

    2018年4月 - 2021年3月

      詳細を見る

経歴

  • 岡山大学   大学院医歯薬学総合研究科   助教

    2023年4月 - 現在

      詳細を見る

  • 岡山大学   大学院医歯薬学総合研究科   医員

    2018年4月 - 2023年3月

      詳細を見る

委員歴

  • 公益社団法人 日本新生児成育医学会   薬事委員会  

    2024年11月 - 2028年11月   

      詳細を見る

  • 公益社団法人 日本新生児成育医学会   医療安全委員会  

    2024年11月 - 2028年11月   

      詳細を見る

 

論文

  • Long-term survival of an infant with complete tetraploidy: A case report. 査読 国際誌

    Tomoka Okamura, Junko Yoshimoto, Daisaku Morimoto, Hirokazu Wanatabe, Yosuke Washio

    American journal of medical genetics. Part A   e63717   2024年6月

     詳細を見る

    記述言語:英語   掲載種別:研究論文(学術雑誌)  

    We present the case of a girl with complete tetraploidy who has survived to her present age of 4 years and 1 month. Infants with complete tetraploidy have been described to have a limited lifespan owing to complications. We report her characteristics, medical history, and development.

    DOI: 10.1002/ajmg.a.63717

    PubMed

    researchmap

  • Postnatal longitudinal analysis of serum nitric oxide and eosinophil counts in extremely preterm infants 査読

    Hirokazu Watanabe, Yosuke Washio, Kei Tamai, Daisaku Morimoto, Tomoka Okamura, Junko Yoshimoto, Hidehiko Nakanishi, Misao Kageyama, Atsushi Uchiyama, Hirokazu Tsukahara, Satoshi Kusuda

    Pediatrics & Neonatology   2024年5月

     詳細を見る

    掲載種別:研究論文(学術雑誌)  

    DOI: 10.1016/j.pedneo.2023.08.006

    researchmap

  • Machine Learning to Improve Accuracy of Transcutaneous Bilirubinometry. 査読 国際誌

    Daisaku Morimoto, Yosuke Washio, Kana Fukuda, Takeshi Sato, Tomoka Okamura, Hirokazu Watanabe, Junko Yoshimoto, Maki Tanioka, Hirokazu Tsukahara

    Neonatology   1 - 8   2024年4月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    INTRODUCTION: This study aimed to develop models for predicting total serum bilirubin by correcting errors of transcutaneous bilirubin using machine learning based on neonatal biomarkers that could affect spectrophotometric measurements of tissue bilirubin. METHODS: This retrospective study included infants born at our hospital (≥36 weeks old, ≥2,000 g) between January 2020 and December 2022. Infants without a phototherapy history were included. Robust linear regression, gradient boosting tree, and neural networks were used for machine learning models. A neural network, inspired by the structure of the human brain, was designed comprising three layers: input, intermediate, and output. RESULTS: Totally, 683 infants were included. The mean (minimum-maximum) gestational age, birth weight, participant age, total serum bilirubin, and transcutaneous bilirubin were 39.0 (36.0-42.0) weeks, 3,004 (2,004-4,484) g, 2.8 (1-6) days of age, 8.50 (2.67-18.12) mg/dL, and 7.8 (1.1-18.1) mg/dL, respectively. The neural network model had a root mean square error of 1.03 mg/dL and a mean absolute error of 0.80 mg/dL in cross-validation data. These values were 0.37 mg/dL and 0.28 mg/dL, smaller compared to transcutaneous bilirubin, respectively. The 95% limit of agreement between the neural network estimation and total serum bilirubin was -2.01 to 2.01 mg/dL. Unnecessary blood draws could be reduced by up to 78%. CONCLUSION: Using machine learning with transcutaneous bilirubin, total serum bilirubin estimation error was reduced by 25%. This integration could increase accuracy, lessen infant discomfort, and simplify procedures, offering a smart alternative to blood draws by accurately estimating phototherapy thresholds.

    DOI: 10.1159/000535970

    PubMed

    researchmap

  • Longitudinal Measurement of Histidine-Rich Glycoprotein Levels in Bronchopulmonary Dysplasia: A Pilot Study 査読 国際誌

    Daisaku Morimoto, Yosuke Washio, Kei Tamai, Takeshi Sato, Tomoka Okamura, Hirokazu Watanabe, Yu Fukushima, Junko Yoshimoto, Misao Kageyama, Kenji Baba, Hirokazu Tsukahara

    Biomedicines   11 ( 1 )   2023年1月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    Histidine-rich glycoprotein (HRG) has been reported to inhibit signaling leading to the release of high mobility group box 1 protein, a damage-associated molecular pattern. The present study aimed to determine the longitudinal change in HRG levels in extremely preterm infants and assess whether complications such as bronchopulmonary dysplasia (BPD) were associated with differences in HRG levels. In this multicenter, prospective, observational study, we measured serum HRG levels every 2 weeks from birth to 8 weeks of age. Serum HRG was measured using an enzyme-linked immunosorbent assay. We included 19 extremely preterm infants in the study and 74 samples were analyzed. The median gestational age was 26.0 weeks, and the median birth weight was 858 g. Serum HRG levels showed a significant upward trend after birth (p < 0.001); median HRG concentrations at birth and at 2, 4, 6, and 8 weeks of age were 1.07, 1.11, 2.86, 6.05, and 7.49 µg/mL, respectively. Onset of BPD was not associated with differences in serum HRG levels. Further, the serum HRG levels increased significantly after birth in extremely preterm infants.

    DOI: 10.3390/biomedicines11010212

    PubMed

    researchmap

  • Prediction model for nonopiate-induced neonatal abstinence syndrome. 査読 国際誌

    Daisaku Morimoto, Yosuke Washio, Takeshi Sato, Tomoka Okamura, Hirokazu Watanabe, Junko Yoshimoto, Hirokazu Tsukahara

    Pediatrics international : official journal of the Japan Pediatric Society   65 ( 1 )   e15435   2022年12月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    BACKGROUND: Neonatal abstinence syndrome (NAS) induced by opiate use is common worldwide. While psychiatric drugs are a more common cause of NAS in Japan, infants of mothers taking psychiatric medications do not always develop NAS. The purpose of this study was to develop a practical model for predicting the onset of nonopiate-induced NAS using variables available at birth. METHODS: In this diagnostic study, prediction models were developed using multivariable logistic regression with retrospective data collected at our hospital between 2010 and 2019. NAS diagnosis was based on the Isobe score, and maternal medications were converted to dose equivalents. RESULTS: A total of 164 maternal and infant dyads met the inclusion criteria; 91 were included in the analysis, of whom 29 infants (32%) were diagnosed with NAS. Final models were created with and without the drug indices. The model without the drug indices consisted of neonatal head circumference in z-score and Apgar score at 5 minutes < 9, and the model with the drug indices included these, as well as antipsychotics and hypnotics indices. The C-statistics were 0.747 (95% CI: 0.638-0.856), and 0.795 (95% CI: 0.683-0.907), respectively, indicating good predictive accuracy of NAS onset for the models. CONCLUSIONS: This study developed models that predicted nonopiate-induced NAS with good accuracy, which may be further improved through the use of drug indices.

    DOI: 10.1111/ped.15435

    PubMed

    researchmap

  • Head circumference in infants with nonopiate-induced neonatal abstinence syndrome. 査読 国際誌

    Daisaku Morimoto, Yosuke Washio, Kazuki Hatayama, Tomoka Okamura, Hirokazu Watanabe, Junko Yoshimoto, Hirokazu Tsukahara

    CNS spectrums   26 ( 5 )   509 - 512   2021年10月

     詳細を見る

    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)   出版者・発行元:Cambridge University Press ({CUP})  

    BACKGROUND: No relationship has been reported between nonopiate neonatal abstinence syndrome (NAS) and anthropometric indices, including head circumference (HC). The purpose of this study was to determine the relationship between maternal nonopioid drug use and HC at birth in neonates with NAS. METHODS: This retrospective observational study included neonates born between January 1, 2010 and March 31, 2019, whose mothers had been taking antipsychotic, antidepressant, sedative, or anticonvulsant medications. The outcome measures were HCs of NAS infants and controls. RESULTS: Of 159 infants, 33 (21%) were diagnosed with NAS. There was no maternal opioid use among mothers during pregnancy. The HCs in the NAS group were significantly smaller than those in the control group. The median z-scores for HC at birth were -0.20 and 0.29 in the NAS group and the control group, respectively (P = .011). The median HCs at birth were 33.0 and 33.5 cm in the NAS group and the control group, respectively. Multivariate analysis revealed that maternal antipsychotic drug use and selective serotonin reuptake inhibitors were independently associated with NAS (P < .001 and P = .004, respectively). Notably, benzodiazepine use and smoking were not independent risk factors. CONCLUSIONS: The results suggest an association between maternal antipsychotic drug use and NAS, which was further associated with decreased HC. Careful monitoring of maternal drug use should be considered to improve fetal outcomes.

    DOI: 10.1017/S1092852920001522

    PubMed

    researchmap

▼全件表示

MISC

▼全件表示

共同研究・競争的資金等の研究

  • 早産児晩期循環不全の新しい予防・治療戦略に向けた病態解明と予測マーカーの開発

    研究課題/領域番号:25K11057  2025年04月 - 2029年03月

    日本学術振興会  科学研究費助成事業  基盤研究(C)

    鷲尾 洋介, 妹尾 朋香, 津下 充, 玉井 圭, 森本 大作

      詳細を見る

    配分額:2860000円 ( 直接経費:2200000円 、 間接経費:660000円 )

    researchmap

 

担当授業科目

  • 周産期・新生児(基本臨床実習) (2025年度) 特別  - その他

  • 周産期・新生児(基本臨床実習) (2024年度) 特別  - その他

  • 選択制臨床実習(小児科学) (2024年度) 特別  - その他