👤 Hironori Waki

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4
Articles
3
Name variants
Also published as: Fumiko Waki, Michihiko Waki
articles
Taku Saito, Norihito Noguchi, Kotaro Shoji +2 more · 2026 · Journal of clinical psychology in medical settings · Springer · added 2026-04-24
Healthcare professionals are expected and motivated to engage empathetically with patients, their families, yet how different components of empathy, coping traits interact to shape psychological respo Show more
Healthcare professionals are expected and motivated to engage empathetically with patients, their families, yet how different components of empathy, coping traits interact to shape psychological responses remains unclear. This study examined these relationships in medical, nursing students to inform tailored educational interventions METHODS: Participants who completed two surveys 2 years apart (30 medical students and 88 nursing students) were included. Empathy traits were assessed using the Interpersonal Reactivity Index, coping traits using the Brief Coping Orientation to Problems Experienced Inventory, and psychological responses using the Professional Quality of Life Scale. Mixed-effects models for repeated measures analyzed the impact of empathy and coping traits. Latent profile analysis (LPA) classified participants by empathy and coping traits. Personal distress was significantly associated with increased secondary traumatic stress (STS) and burnout, and decreased compassion satisfaction. Empathic concern was associated with increased compassion satisfaction. Active coping and support seeking were associated with increased compassion satisfaction and reduced burnout, whereas indirect coping was associated with increased STS and burnout. LPA identified three distinct profiles of empathy and coping traits, showing significant differences in psychological responses. Differences in empathy and coping traits influence psychological responses in medical and nursing students. Tailored interventions that consider these traits may be more effective. Show less
📄 PDF DOI: 10.1007/s10880-026-10144-1
LPA
Yuya Takahashi, Hiroki Fujita, Yusuke Seino +8 more · 2023 · Journal of cachexia, sarcopenia and muscle · Wiley · added 2026-04-24
Intramuscular adipose tissue (IMAT) formation derived from muscle fibro-adipogenic progenitors (FAPs) has been recognized as a pathological feature of sarcopenia. This study aimed to explore whether g Show more
Intramuscular adipose tissue (IMAT) formation derived from muscle fibro-adipogenic progenitors (FAPs) has been recognized as a pathological feature of sarcopenia. This study aimed to explore whether genetic and pharmacological gastric inhibitory polypeptide (GIP) receptor antagonism suppresses IMAT accumulation and ameliorates sarcopenia in mice. Whole body composition, grip strength, skeletal muscle weight, tibialis anterior (TA) muscle fibre cross-sectional area (CSA) and TA muscle IMAT area were measured in young and aged male C57BL/6 strain GIP receptor (Gipr)-knockout (Gipr Body composition analysis revealed that 104-week-old Gipr GIP promotes the differentiation of muscle FAPs into adipocytes and its receptor antagonism suppresses IMAT accumulation and promotes muscle regeneration. Pharmacological GIP receptor antagonism may serve as a novel therapeutic approach for sarcopenia. Show less
📄 PDF DOI: 10.1002/jcsm.13346
GIPR
Jun Hosoe, Fuyuki Miya, Hiroko Kadowaki +25 more · 2020 · Diabetes research and clinical practice · Elsevier · added 2026-04-24
Monogenic diabetes is clinically heterogeneous and differs from common forms of diabetes (type 1 and 2). We aimed to investigate the clinical usefulness of a comprehensive genetic testing system, comp Show more
Monogenic diabetes is clinically heterogeneous and differs from common forms of diabetes (type 1 and 2). We aimed to investigate the clinical usefulness of a comprehensive genetic testing system, comprised of targeted next-generation sequencing (NGS) with phenotype-driven bioinformatics analysis in patients with monogenic diabetes, which uses patient genotypic and phenotypic data to prioritize potentially causal variants. We performed targeted NGS of 383 genes associated with monogenic diabetes or common forms of diabetes in 13 Japanese patients with suspected (n = 10) or previously diagnosed (n = 3) monogenic diabetes or severe insulin resistance. We performed in silico structural analysis and phenotype-driven bioinformatics analysis of candidate variants from NGS data. Among the patients suspected having monogenic diabetes or insulin resistance, we diagnosed 3 patients as subtypes of monogenic diabetes due to disease-associated variants of INSR, LMNA, and HNF1B. Additionally, in 3 other patients, we detected rare variants with potential phenotypic effects. Notably, we identified a novel missense variant in TBC1D4 and an MC4R variant, which together may cause a mixed phenotype of severe insulin resistance. This comprehensive approach could assist in the early diagnosis of patients with monogenic diabetes and facilitate the provision of tailored therapy. Show less
no PDF DOI: 10.1016/j.diabres.2020.108461
MC4R
Naoki Tsunekawa, Nobuaki Higashi, Yusuke Kogane +6 more · 2016 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
To explore possible roles of heparanase in cancer-host crosstalk, we examined whether heparanase influences expression of inflammatory chemokines in colorectal cancer cells. Murine colorectal carcinom Show more
To explore possible roles of heparanase in cancer-host crosstalk, we examined whether heparanase influences expression of inflammatory chemokines in colorectal cancer cells. Murine colorectal carcinoma cells incubated with heparanase upregulated MCP-1, KC, and RANTES genes and released MCP-1 and KC proteins. Heparanase-dependent production of IL-8 was detected in two human colorectal carcinoma cell lines. Addition of a heparanase inhibitor Heparastatin (SF4) did not influence MCP-1 production, while both latent and mature forms of heparanase augmented MCP-1 release, suggesting that heparanase catalytic activity was dispensable for MCP-1 production. In contrast, addition of heparin to the medium suppressed MCP-1 release in a dose-dependent manner. Similarly, targeted suppression of Ext1 by RNAi significantly suppressed cell surface expression of heparan sulfate and MCP-1 production in colon 26 cells. Taken together, it is concluded that colon 26 cells transduce the heparanase-mediated signal through heparan sulfate binding. We propose a novel function for heparanase independent of its endoglycosidase activity, namely as a stimulant for chemokine production. Show less
no PDF DOI: 10.1016/j.bbrc.2015.12.074
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