MASANORI YAMAUCHI

Prof. MASANORI YAMAUCHI

Tohoku University, Sendai, Miyagi, Japan
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 December 2022 in Free Radical Biology and Medicine
Verified
Journal Article
Open access
NTNoriko Toda
Noriko Toda
TSTakeya Sato
Takeya Sato
MMMikio Muraoka
Mikio Muraoka
DLDelan Lin
Delan Lin
MSMasaki Saito
Masaki Saito
MYMASANORI YAMAUCHI
MASANORI YAMAUCHI
Doxorubicin (Dox), an anthracycline antibiotic, is an anticancer drug that inhibits DNA replication and cellular metabolic processes in cancer cells with high proliferative potential. However, Dox causes severe side effects, including myocardial damage and heart failure, but the molecular mechanism underlying Dox-induced myocardial injury remains uncertain. In the present study, we evaluated the effects of Dox on the mitochondrial quality control system and regulation of mitochondrial respiration and autophagy in an in vitro rat myoblast H9c2 cell culture model using western blotting, immunohistochemistry, the Seahorse XF24 system, and flow cytometry. Our results showed that Dox did not impair the initiation of autophagic flux or the functions of lysosomes; however, Dox affected the mitochondrial quality control system, leading to a fission-dominant morphology and impaired regulation of mitochondrial respiration, thereby increasing oxidative stress and inhibited progression of autophagy, particularly the fusion of autophagosomes with lysosomes. This inhibition caused a significant decrease in the formation of autolysosomes and was responsible for the accumulation of dysfunctional mitochondria and subsequent increase in oxidative stress, eventually leading to increased myocardial cell death.

22 August 2022 in JA Clinical Reports
Verified
Journal Article
Open access
PDF file
KKKotoe Kamata
Kotoe Kamata
SASuguru Asagi
Suguru Asagi
YSYoshiteru Shimoda
Yoshiteru Shimoda
MKMasayuki Kanamori
Masayuki Kanamori
NANozomu Abe
Nozomu Abe
MYMASANORI YAMAUCHI
MASANORI YAMAUCHI
Background: Intraoperative motor-evoked potential (MEP) monitoring reduces postoperative motor deficits. Propofol-based total intravenous anesthesia is the gold standard for intraoperative myogenic MEPs. Although there is no contraindication to administering propofol in adults with peanut, soy, or egg allergies, its safety in children with these allergies remains unclear. Case presentation: A 12-year-old girl required general anesthesia under intraoperative direct cortical MEP (dc-MEP) monitoring due to supratentorial glioma. Remimazolam-based anesthesia was selected, instead of propofol, due to the patient’s egg hypersensitivity. Stable myogenic MEPs were recorded throughout the surgery with remimazolam at 0.9 mg/kg/h and remifentanil at 0.35 μg/kg/min, following adjustments of stimulation intensity and titration of remimazolam infusion. Neither intraoperative memory nor motor deficits were present after surgery. Conclusions: We present a pediatric case whose dc-MEP was recorded under remimazolam anesthesia. The cardiovascular stability and avoidance of propofol infusion syndrome with remimazolam were superior to propofol.

4 March 2021 in Scientific Reports
Verified
Journal Article
Open access
PDF file
Naoya KobayashiNaoya Kobayashi
Naoya Kobayashi
TSTakuya Shiga
Takuya Shiga
SISaori Ikumi
Saori Ikumi
KWKazuki Watanabe
Kazuki Watanabe
HMHitoshi Murakami
Hitoshi Murakami
MYMASANORI YAMAUCHI
MASANORI YAMAUCHI
Monitoring the pain intensity in critically ill patients is crucial because intense pain can cause adverse events, including poor survival rates; however, continuous pain evaluation is difficult. Vital signs have traditionally been considered ineffective in pain assessment; nevertheless, the use of machine learning may automate pain assessment using vital signs. This retrospective observational study was performed at a university hospital in Sendai, Japan. Objective pain assessments were performed in eligible patients using the Critical-Care Pain Observation Tool (CPOT). Three machine-learning methods—random forest (RF), support vector machine (SVM), and logistic regression (LR)—were employed to predict pain using parameters, such as vital signs, age group, and sedation levels. Prediction accuracy was calculated as the harmonic mean of sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC). Furthermore, 117,190 CPOT assessments were performed in 11,507 eligible patients (median age: 65 years; 58.0% males). We found that pain prediction was possible with all three machine-learning methods. RF demonstrated the highest AUROC for the test data (RF: 0.853, SVM: 0.823, and LR: 0.787). With this method, pain can be objectively, continuously, and semi-automatically evaluated in critically ill patients.

28 December 2013 in Journal of Anesthesia
Verified
Journal Article
Closed access
PDF file
NKNatsumi Kii
Natsumi Kii
MYMASANORI YAMAUCHI
MASANORI YAMAUCHI
KTKazunobu Takahashi
Kazunobu Takahashi
MYMichiaki Yamakage
Michiaki Yamakage
TWTakuro Wada
Takuro Wada

9 April 2019 in BMC Anesthesiology
Verified
Journal Article
Open access
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HSHiroshi Sumida
Hiroshi Sumida
SSShigekazu Sugino
Shigekazu Sugino
NKNorifumi Kuratani
Norifumi Kuratani
KKKonno Konno
Konno Konno
JHJun-Ichi Hasegawa
Jun-Ichi Hasegawa
MYMASANORI YAMAUCHI
MASANORI YAMAUCHI
Underbody blankets have recently been launched and are used by anesthesiologists for surgical patients. However, the forced-air warming effect of underbody blankets is still controversial. The aim of this study was to determine the effect of forced-air warming by an underbody blanket on body temperature in anesthetized patients. We retrospectively analyzed 5063 surgical patients. We used propensity score matching to reduce the bias caused by a lack of randomization. After propensity score matching, the change in body temperature from before to after surgery was compared between patients who used underbody blankets (Under group) and those who used other types of warming blankets (Control group). The incidence of hypothermia (i.e., body temperature < 36.0 °C at the end of surgery) was compared between the two groups. A p value < 0.05 was considered to indicate statistical significance. We obtained 489 propensity score-matched pairs of patients from the two groups, of whom 33 and 63 had hypothermia in the Under and Control groups, respectively (odds ratio: 0.49, 95% confidence interval: 0.31–0.76, p = 0.0013). The present study suggests that the underbody blanket may help reduce the incidence of intraoperative hypothermia and may be more efficient in warming anesthetized patients compared with other types of warming blankets. UMIN Clinical Trials Registry (Identifier: UMIN000022909 ; retrospectively registered on June 27, 2016).

16 March 2023 in Journal of Cardiothoracic and Vascular Anesthesia
Verified
Journal Article
Closed access
YTYusuke Takei
Yusuke Takei
MKMichio Kumagai
Michio Kumagai
MSManami Suzuki
Manami Suzuki
SMSakura Mori
Sakura Mori
YSYuna Sato
Yuna Sato
MYMASANORI YAMAUCHI
MASANORI YAMAUCHI