Hirosaki University Repository for Academic Resources
Not a member yet
8027 research outputs found
Sort by
The Impact of Japanese Dietary Patterns on Metabolic Dysfunction-Associated Steatotic Liver Disease and Liver Fibrosis
Get PDFThis study aimed to investigate the effect of Japanese dietary patterns on metabolic dysfunction-associated steatotic liver disease (MASLD) and liver fibrosis. After excluding factors affecting the diagnosis of hepatic steatosis, 727 adults were analyzed as part of the Health Promotion Project. The dietary patterns of the participants were classified into rice, vegetable, seafood, and sweet based on their daily food intake. Liver stiffness measurements and controlled attenuation parameters were performed using FibroScan. Energy and nutrient intake were calculated using the Brief-type Self administered Diet History Questionnaire. Univariate and multivariate analyses were used to identify the risk factors for liver fibrosis within the MASLD population. The vegetable group had significantly lower liver fibrosis indicators in the MASLD population than the rice group. The multivariate analysis identified a body mass index ≥ 25 kg/m2 (odds ratio [OR], 1.83; 95% confidence interval [CI], 1.01–1.83; p = 0.047) and HOMA-IR ≥ 1.6 (OR, 3.18; 95% CI, 1.74–5.78; p < 0.001) as risk factors for liver fibrosis, and vegetable group membership was a significant low-risk factor (OR, 0.38; 95% CI, 0.16–0.88; p = 0.023). The multivariate analysis of nutrients in low-risk foods revealed high intake of α-tocopherol (OR, 0.74; 95% CI, 0.56–0.99; p = 0.039) as a significant low-risk factor for liver fibrosis. This study suggests that a vegetable based Japanese dietary pattern, through the antioxidant effects of α-tocopherol, may help prevent liver fibrosis in MASLD and the development of MASLD.弘前大学博士（医学
Characteristics of lower limb and trunk stability in high school baseball players with low back pain
Get PDF弘前大学博士（保健学）学位論文のもととなる研究成果としての筆頭著者原著
論文題目：Characteristics of lower limb and trunk stability in high school baseball players with low back pain
掲載学術誌（巻号）：弘前医学 Vol. 75, No. 2-4（2025）
HDL: http://hdl.handle.net/10129/000200077
Effect of Superior Vena Cava Isolation Added to Pulmonary Vein Isolation on the Postprocedural Heart Rates of Patients With Paroxysmal Atrial Fibrillation
No full textBackground: Pulmonary vein isolation (PVI) for paroxysmal atrial fibrillation (AF) is often associated with an increased resting heart rate (rHR) due to neuromodulation of the cardiac autonomic plexus. Changes in the rHR by adding superior vena cava (SVC) isolation (SVCI) to PVI have not been fully elucidated.
Methods: We retrospectively analyzed 257 consecutive patients with paroxysmal AF undergoing ablation index-guided AF ablation from January 2021 to June 2022. In patients with SVC myocardial sleeve ≥20 mm above the sinus node, circumferential SVCI was added. Consequently, PVI only was done in 110 patients and PVI plus SVCI was in 147 patients. We analyzed rHRs obtained at baseline and 1, 3, 6, and 12 months after the ablation procedure using a linear mixed-effects model. Predictors of increases in rHRs >20% from baseline values were also examined.
Results: The characteristics of the patients with PVI only versus PVI+SVCI were as follows: mean age, 70.2±10.6 versus 65.3±10.3 years, respectively (p20% (odds ratio [OR], 3.59 [95% CI 2.09-6.18], p<0.001), while beta- blockers showed a negative impact (OR, 0.51 [95% CI 0.30-0.87], p=0.01).
Conclusion: The addition of SVCI to PVI led to increases in rHRs, presumably because of additional modulation of the cardiac autonomic plexus.弘前大学博士（医学）Author(s): Negishi, Kodai ; Okumura, Ken ; Okamatsu, Hideharu ; Tsurugi, Takuo ; Tanaka, Yasuaki ; Nakao, Koichi ; Sakamoto, Tomohiro ; Koyama, Junjiro ; Tomita, Hirofum
A new neural network model that detects graft ruptures and contralateral anterior cruciate ligament injuries
Get PDFPurpose: The high risk of second anterior cruciate ligament (ACL) injuries including graft rupture and contralateral ACL injury after ACL reconstruction is a significant concern for athletes returning to sports. Risk factors for a second ACL injury include multifactorial and complex interactions. The purpose of study was to develop a neural network model for predicting second ACL injury risk in athletes following primary ACL reconstruction using patient characteristics from medical records.
Methods: Three hundred and eighty-six patients were included in this study. All patients underwent primary unilateral ACL reconstruction and were followed up for a minimum of 2 years. Fifty-eight features, including demographic data, surgical findings, methods, and pre-and post-operative data, were retrospectively collected from medical records, and features with an incidence of less than 5% were excluded. Finally, 14 features were used for analyzed. The multilayer perceptron (MLP) was composed of four hidden layers with a rectified linear unit as activation and was trained to maximize the area under the receiver operating characteristic curve (auROC) by 3-fold cross-validation. To ascertain the most efficacious combination of characteristics with the highest auROC, a single characteristic was sequentially removed from the full set of variables was conducted.
Results: At a minimum 2-year follow-up, 57 knees (14.6%) had a second ACL injury, with an ACL graft rupture rate of 7.7% and a contralateral ACL injury rate of 6.9%. The maximum auROC for predicting graft rupture was 0.81 with two features: young age and hamstring graft. Meanwhile, the maximum auROC for predicting contralateral ACL injury was 0.74 with seven features, including young age, presence of medial meniscus tear at primary ACL reconstruction, small body mass index, hamstring graft, female sex, medial meniscus repair, or treatment simultaneously at primary ACL reconstruction.
Conclusion: A neural network model with patient features from medical records detected graft ruptures and contralateral ACL injuries after primary ACL reconstruction with acceptable accuracy.弘前大学博士（医学
Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas
Get PDFPurpose
To evaluate the diagnostic value of T1-weighted 3D fast spin-echo sequence (CUBE) with deep learning-based reconstruction (DLR) for depiction of pituitary adenoma and parasellar regions on contrast-enhanced MRI.
Methods
We evaluated 24 patients with pituitary adenoma or residual tumor using CUBE with and without DLR, 1-mm slice thickness 2D T1WI (1-mm 2D T1WI) with DLR, and 3D spoiled gradient echo sequence (SPGR) as contrast-enhanced MRI. Depiction scores of pituitary adenoma and parasellar regions were assigned by two neuroradiologists, and contrast-to-noise ratio (CNR) was calculated.
Results
CUBE with DLR showed significantly higher scores for depicting pituitary adenoma or residual tumor compared to CUBE without DLR, 1-mm 2D T1WI with DLR, and SPGR (p < 0.01). The depiction score for delineation of the boundary between adenoma and the cavernous sinus was higher for CUBE with DLR than for 1-mm 2D T1WI with DLR (p = 0.01), but the difference was not significant when compared to SPGR (p = 0.20). CUBE with DLR had better interobserver agreement for evaluating adenomas than 1-mm 2D T1WI with DLR (Kappa values, 0.75 vs. 0.41). The CNR of the adenoma to the brain parenchyma increased to a ratio of 3.6 (obtained by dividing 13.7, CNR of CUBE with DLR, by 3.8, that without DLR, p < 0.01). CUBE with DLR had a significantly higher CNR than SPGR, but not 1-mm 2D T1WI with DLR.
Conclusion
On the contrast-enhanced MRI, compared to CUBE without DLR, 1-mm 2D T1WI with DLR and SPGR, CUBE with DLR improves the depiction of pituitary adenoma and parasellar regions.弘前大学博士（医学）Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas
Author(s): Yuka Ishimoto, Satoru Ide, Keita Watanabe, Kazuhiko Oyu, Sera Kasai, Yoshihito Umemura, Miho Sasaki, Haruka Nagaya, Soichiro Tatsuo, Atsushi Nozaki, Yoichiro Ikushima, Tetsuya Wakayama, Kenichiro Asano, Atsushi Saito, Masahiko Tomiyama & Shingo Kakeda
Copyright © 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Natur
TMEM2 suppresses TLR3-mediated IFN-β/ISG56/CXCL10 expression in BEAS-2B bronchial epithelial cells
Get PDFBackground
Bronchial epithelial cells are at the front line of viral infections. Toll-like receptor 3 (TLR3) cascade causes the expression of interferon (IFN)-β and IFN-stimulated genes (ISGs), which in turn induce an antiviral response. Members of the transmembrane protein (TMEM) family are expressed in various cell types. Although the prognostic value of TMEM2 in various cancers has been reported, its association with infectious diseases remains unknown. In this study, we investigated the effects of TMEM2 on antiviral immunity in BEAS-2B bronchial epithelial cells.
Methods and results
TMEM2 protein was found in the cytoplasm of normal human bronchial epithelial cells and differed between organs using immunohistochemistry. Cultured BEAS-2B cells were transfected with TMEM2 siRNA, followed by administration of TLR3 ligand polyinosinic-polycytidylic acid (poly IC) or recombinant human (r(h)) IFN-β. The expression of TMEM2, IFN-β, ISG56, C-X-C motif chemokine ligand 10 (CXCL10) and hyaluronan were evaluated appropriately by western blotting, quantitative reverse transcription-polymerase chain reaction and enzyme-linked immunosorbent assay. TMEM2 expression was not altered by poly IC stimulation. Knockdown of TMEM2 increased poly IC-induced expression of IFN-β, CXCL10, and ISG56, while IFN-β-induced expression of ISG56 and CXCL10 were not changed by TMEM2 knockdown. The hyaluronan concentration in the medium was decreased by either TMEM2 knockdown or poly IC, but additive or synergistic effects were not observed.
Conclusions
TMEM2 knockdown enhanced TLR3-mediated IFN-β, CXCL10, and ISG56 expression in BEAS-2B cells. This implies that TMEM2 suppresses antiviral immune responses and prevents tissue injury in bronchial epithelial cells.弘前大学博士（医学
Exploration of Efficient Electrocatalysts for Reduction of CO2 to High Value-added Chemicals
Get PDF弘前大学博士（理学）Highly effective CO2 electroreduction to formate boosted by Ce-doping on Indium oxide electrocatalysts
Author(s)：Ziyuan Yang,Yuxia Jin,Xiaowei An,Zhongbao Feng,Peng Luo,Yusrin Ramli,Changrui Feng,Yifan Zhou,Juan Zhang,Shasha Li,Peifen Wang,Xiao Du,Xiaogang Hao,Abuliti Abudula,Guoqing Guan
Publication：Journal of Materials Science & Technology (Volume 224, 20 July 2025, Pages 159-168)
Publisher：Elsevier
DOI：https://doi.org/10.1016/j.jmst.2024.10.046
© 2025 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology
Effect of visceral fat on onset of metabolic syndrome
No full textThis study analysed the effects of visceral fat on metabolic syndrome (MetS) and developed an algorithm to predict its onset using health examination data from the Iwaki Health Promotion Project in Japan. The dataset included 213 cases of MetS onset within three years and 1320 non-onset cases. The data was split into training and test sets with an 8:2 ratio. In the training set, the MetS onset group had significantly higher visceral fat area than the non-onset group (p < 0.00001). A cut-off value of 82 cm2 for the visceral fat area was determined, with an AUC of 0.86. Additionally, a machine learning algorithm utilizing seven non-invasive factors, including visceral fat, achieved high accuracy with
a five-fold cross-validation AUC of 0.90 in the training set and 0.88 in the test set. Visceral fat was identified as the main factor, as supported by the SHAP value. In conclusion, this study found visceral fat to be crucial in predicting the onset of MetS, and a high-accuracy onset prediction algorithm based on non-invasive parameters, including visceral fat, was developed.弘前大学博士（医学）Author(s): Bushita, Hiroto ; Ozato, Naoki ; Mori, Kenta ; Kawada, Hiromitsu ; Katsuragi, Yoshihisa ; Osaki, Noriko ; Mikami, Tatsuya ; Itoh, Ken ; Murashita, Koichi ; Nakaji, Shigeyuki ; Tamada, Yoshinor