Details of a Researcher - Sugimoto, Masahiro

Sugimoto, Masahiro

写真a

Affiliation: Graduate School of Media and Governance ( Shonan Fujisawa )

Position: Professor

E-mail Address

Contact Address: 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata, 997-0052, Japan

Remarks: Masahiro SUGIMOTO

External Links

Scopus Paper Info

Paper Count: 218 Citation Count: 8425 h-index: 43

Click to view the Scopus page. The data was downloaded from Scopus API in May 24, 2026, via http://api.elsevier.com and http://www.scopus.com .

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Academic Degrees 【 Display / hide 】

博士（学術）, 慶應義塾大学, Coursework, 2005.09
学術（歯学）, 神奈川歯科大学, Dissertation, 2013.09

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Computational Simulation of Tumor-Induced Angiogenesis

Sugimoto M., Methods in Molecular Biology, 2023

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Cancer cells require higher oxygen levels and nutrition than normal cells. Cancer cells induce angiogenesis (the development of new blood vessels) from preexisting vessels. This biological process depends on the special, chemical, and physical properties of the microenvironment surrounding tumor tissues. The complexity of these properties hinders an understanding of their mechanisms. Various mathematical models have been developed to describe quantitative relationships related to angiogenesis. We developed a three-dimensional mathematical model that incorporates angiogenesis and tumor growth. We examined angiopoietin, which regulates the spouting and branching events in angiogenesis. The simulation successfully reproduced the transient decrease in new vessels during vascular network formation. This chapter describes the protocol used to perform the simulations.
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Metabolomics Analysis of Blood, Urine, and Saliva Samples Based on Capillary Electrophoresis–Mass Spectrometry

Sugimoto M., Aizawa Y., Methods in Molecular Biology, 2023

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Capillary electrophoresis–mass spectrometry (CE–MS) is an ideal method for analyzing various metabolites in biological samples. CE–MS can simultaneously identify and quantify hundreds of charged metabolites using only two acquisition methods for positively and negatively charged metabolites. Furthermore, CE–MS is commonly used for analyzing biological samples to understand the pathology of diseases at the metabolic level and biofluid samples, such as blood and urine, to explore biomarkers. Here, we introduce a protocol that delineates the handling of clinical samples to ensure that the CE–MS analysis yields reproducible quantified data. We have focused on sample collection, storage, processing, and measurement. Although the implementation of rigorous standard operating protocols is preferred for enhancing the quality of the samples, various limitations in an actual clinical setting make it difficult to adhere to strict rules. Therefore, the effect of each process on the quantified metabolites needs to be evaluated to design a protocol with acceptable tolerances. Furthermore, quality controls and assessments to handle clinical samples are introduced.
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Data Processing and Analysis in Liquid Chromatography–Mass Spectrometry-Based Targeted Metabolomics

Sugimoto M., Aizawa Y., Tomita A., Methods in Molecular Biology, 2023

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Mass spectrometry (MS)-based metabolomics provides high-dimensional datasets; that is, the data include various metabolite features. Data analysis begins by converting the raw data obtained from the MS to produce a data matrix (metabolite × concentrations). This is followed by several steps, such as peak integration, alignment of multiple data, metabolite identification, and calculation of metabolite concentrations. Each step yields the analytical results and the accompanying information used for the quality assessment of the anterior steps. Thus, the measurement quality can be analyzed through data processing. Here, we introduce a typical data processing procedure and describe a method to utilize the intermediate data as quality control. Subsequently, commonly used data analysis methods for metabolomics data, such as statistical analyses, are also introduced.
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Capillary electrophoresis–mass spectrometry of hydrophilic metabolomics

Sugimoto M., Neuromethods, 2021

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Metabolomics is defined as the comprehensive identification and quantification of small molecules that provide a holistic view of cellular metabolism. The metabolomic network is downstream of the central dogma that transfers regulatory information from the genome. The metabolomic profile, that is, concentration patterns of metabolites on metabolic pathways, can be expected to directly reflect cellular phenotype. Thus, metabolomics has been used for many biomarker discoveries for metabolic diseases, such as diabetes, myocardial infarctions, and cancers. However, there are large limitations in the measurement technologies, compared to the other omics. Currently, a single analytical methodology cannot profile whole metabolites and various methods should be used to monitor the wide range of metabolic pathways. Here, we introduce metabolomics using capillary electrophoresis-mass spectrometry which is suitable for hydrophilic metabolite quantifications.
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Papers 【 Display / hide 】

Metabolomics of mouth-rinsed water for assessing psychophysiological stress in office workers

Maruyama Y., Yamada K., Inokuchi T., Fujii N., Kawamata R., Ichiba Y., Kakizawa Y., Sugimoto M., Hirayama A.

Scientific Reports 16 ( 1 ) 2026.12

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Workplace stress impacts productivity and health, necessitating non-invasive, rapid, and objective assessment methods. This study investigates the potential of metabolite profiling of mouth-rinsed water (MW)—an oral biofluid collected in just 10 s—as a screening tool for psychophysiological stress among office workers. Thirty-two participants were classified into high-stress and control groups based on the State-Trait Anxiety Inventory and the Brief Job Stress Questionnaire, and objective physiological measures. MW samples were collected at four time points, including before and after brief mental stress tasks. Biochemical features were profiled using capillary electrophoresis–mass spectrometry and liquid chromatography–mass spectrometry. A total of 559 analytes, including 532 water-soluble metabolites, 25 steroids, and 2 salivary proteins, were measured, of which 127 analytes with acceptable analytical precision were selected for subsequent analyses. Statistically significant differences in numerous metabolites indicated stress-associated alterations in metabolic activity. Notably, a predictive model using the ratio of N-acetyl-β-alanine to asymmetric dimethylarginine achieved high accuracy, with an area under the receiver operating characteristic curve (AUC) of 0.845 for identifying high stress. The distinct metabolite dynamics under varying stress conditions suggest multiple stress-response mechanisms. These findings underscore MW metabolite profiling as a promising approach for assessing and managing workplace stress.
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Eye-tracking in nursing simulation: A scoping review of educational design and assessment

Sugimoto M., Oyamada M., Sato M.

Teaching and Learning in Nursing 21 ( 2 ) e876 - e884 2026.04

ISSN 15573087

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AbstractObjectivesTo synthesize how eye-tracking technology has been applied in nursing simulation and identify its contributions to educational design, learner assessment, and skill development.DesignA scoping review following the Arksey and O’Malley framework and PRISMA-ScR guidelines.Data sourcesPubMed, EBSCOhost, Scopus, and Web of Science were searched (September 2025), supplemented by manual screening.Review methodsEligible studies involved nursing participants, used eye-tracking as a primary method, and were conducted in simulation-based learning settings.ResultsFourteen studies met the inclusion criteria. Three themes emerged: (1) expert-novice gaze pattern differences, showing broader AOI coverage and more efficient scanning among experts; (2) cognitive-load indicators such as pupil dilation and fixation duration that varied by task complexity and experience; and (3) gaze-based feedback that enhanced reflective learning using visualizations, including heatmaps and gaze replays.ConclusionsEye-tracking provides objective insight into learners’ cognitive processes, supporting improved simulation design, assessment of clinical judgment and situational awareness, and the extraction of teachable visual-scanning strategies. Standardization and multimodal approaches are needed to advance future research.
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Serum total apoptosis inhibitor of macrophage, metabolomic signatures, and incident dyslipidemia: A population-based prospective study

Toki R., Harada S., Arai S., Hirata A., Iida M., Miyagawa N., Edagawa S., Ishikawa T., Hirayama A., Sugimoto M., Okamura T., Miyazaki T., Takebayashi T.

Journal of Clinical Lipidology 20 ( 4 ) 806 - 816 2026.04

ISSN 19332874

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BACKGROUND The role of the apoptosis inhibitor of macrophages (AIM) in human lipid metabolism remains unclear. OBJECTIVE This study aimed to investigate the cross-sectional associations between serum AIM and plasma metabolites and to determine if baseline AIM concentrations predict incident dyslipidemia. METHODS This study used a community-based cohort of 3139 participants for cross-sectional metabolomic analysis. Among them, 1292 participants without dyslipidemia at baseline were followed prospectively for up to 8.5 years. Cox proportional hazards models were used to estimate hazard ratios for incident high low-density lipoprotein cholesterol (LDL-C) and metabolic dyslipidemia (high triglycerides and/or low high-density lipoprotein cholesterol [HDL-C]) across AIM tertiles. RESULTS Cross-sectionally, higher AIM concentrations were associated with elevated acylcarnitines and tricarboxylic acid cycle intermediates. Longitudinally, higher baseline AIM was associated with an increased risk of developing metabolic dyslipidemia in women (highest vs lowest tertile hazard ratio, 1.84) and showed a similar but smaller nonsignificant trend in men. The risk for high LDL-C was significantly increased in women but not in men. These associations remained robust after multivariable adjustment. CONCLUSION Elevated baseline AIM concentrations were prospectively associated with the development of metabolic dyslipidemia in women, with a similar but nonsignificant trend in men, and with high LDL-C in women. The related metabolomic profile suggests enhanced lipolysis and altered lipid metabolism. Therefore, AIM may serve as a biomarker for future dyslipidemia, particularly for triglyceride and HDL-C dysregulation.
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Salivary monoacetylated polyamines as noninvasive biomarkers for early detection and stratification of oral squamous cell carcinoma: A targeted metabolomics study

Panneerselvam K., Krishnan R., Mahadevan S., Ayyadurai M.M., Sugimoto M.

Archives of Oral Biology 184 2026.04

ISSN 00039969

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Objectives: This study aimed to evaluate salivary monoacetylated polyamines as noninvasive biomarkers for the detection and staging of oral squamous cell carcinoma (OSCC). Design: Unstimulated saliva samples were collected from healthy controls (n = 15), oral leukoplakia (OLK) patients (n = 15), and OSCC patients stratified into early (n = 28) and advanced stages (n = 46). Seven polyamines were quantified using liquid chromatography–tandem mass spectrometry (LC–MS/MS). Diagnostic performance was assessed via receiver operating characteristic (ROC) analysis, logistic regression modeling, and multivariate clustering. Results: N1-acetylspermidine and N1-acetylspermine showed progressive elevation from OLK to advanced OSCC, with AUCs of 0.87 and 0.81, respectively. A two-marker logistic model achieved a cross-validated AUC of 0.85, demonstrating good discriminatory performance between malignant and non-malignant states. Multivariate analysis confirmed their contribution to disease stratification, while calibration plots supported model reliability. Conclusions: Salivary N1-acetylspermidine and N1-acetylspermine are promising biomarkers for noninvasive OSCC detection and staging.
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Attachment Style and Perinatal Depressive Symptoms Across the Perinatal Period in Japan

Oyamada M., Sato M., Nakao T., Sugimoto M.

Children 13 ( 3 ) 2026.03

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Highlights: What are the main findings? Attachment insecurity was associated with elevated depressive symptoms across the perinatal period. Higher psychological stress responses were consistently linked to EPDS positivity. Salivary cortisol showed no consistent association with depressive symptoms. What is the implication of the main findings? Brief psychosocial screening during pregnancy may help identify women at risk for perinatal depression. Background/Objectives: Perinatal depressive symptoms are influenced by psychosocial and relational factors. This study examined stage-specific associations between adult attachment style, psychological stress responses, satisfaction with the childcare environment, and depressive symptoms across five perinatal stages in Japan. Methods: This repeated cross-sectional study included 417 independent assessment datasets collected during the first, second, and third trimesters, and at two weeks and one month postpartum. Depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS). Adult attachment was measured using the Relationship Questionnaire, and psychological stress responses were measured using the Stress Response Scale-18 (SRS-18). Salivary cortisol was analyzed in a subset of participants. Results: Elevated depressive symptoms (EPDS+) were observed in approximately 10–15% of participants across stages. Attachment insecurity was associated with higher odds of EPDS+ at one month postpartum (OR 12.1, 95% CI 1.35–109). Higher SRS-18 scores were consistently associated with increased odds of EPDS+ across stages (e.g., OR 20.9, 95% CI 5.46–80.0 in the second trimester). Lower satisfaction with the childcare environment was associated with elevated depressive symptoms during pregnancy. No consistent association was observed between salivary cortisol and EPDS+. Conclusions: Adult attachment insecurity and psychological stress responses were associated with perinatal depressive symptoms across stages. By clarifying stage-specific psychosocial patterns, these findings support stress–attachment frameworks, suggesting that attachment insecurity may heighten vulnerability during the perinatal transition, provide culturally specific evidence from Japan, and underscore the potential value of brief psychosocial screening in routine perinatal care.
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