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Authors: Tian, Yuan | Song, Mingrui

Article Type: Research Article

Abstract: Administration of sevoflurane (SEVO) may induce learning and memory deficits, which increases the chances of developing Alzheimer’s disease. Here, we studied the effects of SEVO exposure on rats with a focus on the role of insulin-like growth factor (IGF) signaling. SEVO exposure significantly increased neuron cell apoptosis, and caused poor performance of the rats in behavior tests, by suppressing IGF-1 receptor (IGF1R). Bioinformatic analysis predicted microRNA(miR)-223-3p as an IGF1R-binding miRNA, the level of which increased in neurons after exposure to SEVO. In vitro , miR-223-3p suppressed the translation of IGF1R in neural cells. Moreover, transfection with antisense of miR-223-3p significantly …attenuated SEVO exposure-induced neuron cell apoptosis. Taken together, these data suggest that SEVO-induced miR-223-3p upregulation suppresses IGF1R to impair IGF signaling, which subsequently leads to learning and memory impairments. Show more

Keywords: Alzheimer’s disease, IGF1R, miR-223-3p, sevoflurane

DOI: 10.3233/JAD-190596

Citation: Journal of Alzheimer's Disease, vol. 71, no. 3, pp. 825-832, 2019

Authors: Tian, Yuan | Li, You | Pan, Lin | Morris, Harry

Article Type: Research Article

Abstract: Group animation is a technology that simulates group behavior by computer. It matures with the continuous development of computer graphics. The things that need to be described are expressed in the form of anime, which not only clearly reflects the process of the event, but also shows a more realistic picture, and can also increase the cognitive range of group behavior to a certain extent. Based on the analysis of the advantages and disadvantages of artificial fish swarm algorithm, this paper improves the research on artificial fish swarm algorithm, and it is easy to fall into local optimum, and it …is improved by using convergence and divergence behavior in social learning mechanism., to some extent, improve the search performance of the algorithm. Based on the collision detection and avoidance, the improved artificial fish swarm algorithm is used to plan the group behavior path, and the obtained path data is imported into Maya. The tools provided by Maya will be used to establish the characters, 3D scenes and planning. The paths are merged together to get the corresponding group animation effects. Show more

Keywords: Artificial fish swarm algorithm, group animation design, intelligent algorithm, 3D scene

DOI: 10.3233/JIFS-179475

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1137-1145, 2020

Authors: Liu, Hongliang | Gao, Shuguo | Sun, Lu | Tian, Yuan

Article Type: Research Article

Abstract: During the transformer winding deformation process, the leakage magnetic field around the winding will change accordingly. Therefore, it is an effective method to monitor and track the change of the leakage magnetic field and then analyze and judge the state of the transformer. This paper firstly uses Comsol Multiphysics software to establish a 110 kV transformer electromagnetic simulation calculation model. Based on the simulation results of magnetic leakage distribution, an installation plan for the internal magnetic leakage sensor of a 110 kV true transformer is determined. The measurement results of the true single short-circuit test under different working conditions verify …the accuracy of the simulation model. Subsequently, a number of B-phase high-centered three-phase short circuit (H-M B) true type tests were carried out, and the relationship between the magnetic leakage distribution characteristics and the impedance change rate after each impact was analyzed. The results show that before the transformer is seriously deformed due to multiple short circuit shocks, the sensitivity of the impedance change rate to the winding deformation is low, and the first five shocks only increase from 0.11% to 0.39%. However, the difference ratio between the simulation value and the test value of magnetic flux leakage (MFL) has obvious changes in each small deformation. BX3 increases from 1.77% to 5.62%, and BX4 increases from 2.08% to 6.55%. The difference ratio of four shocks before winding deformation is more than 6%. Therefore, by monitoring the flux leakage magnetic induction intensity, when the difference ratio is greater than 6%, strengthen the vigilance, which can provide a certain basis for winding monitoring before serious deformation. Show more

Keywords: Transformer, comsol, magnetic leakage sensor, magnetic flux leakage intensity, deformation monitoring

DOI: 10.3233/JCM-226656

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 3, pp. 1517-1528, 2023

Authors: Fu, Zhenrong | Zhao, Mingyan | Wang, Xuetong | He, Yirong | Tian, Yuan | Yang, Yujing | Han, Ying | Li, Shuyu

Article Type: Research Article

Abstract: Background: Individuals with subjective cognitive decline (SCD), defined by self-reported memory complaints but normal performance in objective neuropsychological tests, may be at higher risk of worsening or more frequent memory loss until conversion to Alzheimer’s disease (AD) or related dementia. Asymmetry in two hemispheres is a cardinal character of human brain’s structure and function, and altered brain asymmetry has also been connected with AD. Objective: This study aimed to determine whether the asymmetry of subcortical structures in individuals with SCD and amnestic mild cognitive impairment (aMCI) and AD patients are altered compared with normal controls (NC). Methods: We investigated neuroanatomical …alterations in 35 SCD, 43 aMCI, and 41 AD subjects compared with 42 NC, focusing on asymmetrical changes in subcortical structures based on structural magnetic resonance images (sMRI). General linear model was conducted to test group differences, and partial correlation was used to model the interaction between asymmetry measurements and cognitive tests. Results: Individuals with SCD (lateral ventricle and cerebellum-WM), aMCI patients (lateral ventricle, pallidum, hippocampus, amygdala, accumbens, and ventral DC), and AD patients (lateral-ventricle, cerebellum-cortical pallidum, thalamus, hippocampus, amygdala, accumbens, and ventral DC) exhibited significant altered neuroanatomical asymmetries of volume, surface area, and shape compared with NC. Significant associations between shape asymmetry and neuropsychological examinations were found in the hippocampus and accumbens. Conclusion: Altered neuroanatomical asymmetries of subcortical structures were significantly detected in SCD individuals and aMCI patients as well AD patients, and these specific asymmetry alterations are potential to be used as neuroimaging markers and for monitoring disease progression. Show more

Keywords: Brainprint, brain asymmetry, early diagnosis, subjective cognitive decline

DOI: 10.3233/JAD-201116

Citation: Journal of Alzheimer's Disease, vol. 79, no. 3, pp. 1121-1132, 2021

Authors: Hou, Ting-Ting | Yang, He-Yun | Wang, Wei | Wu, Qiao-Qi | Tian, Yuan-Ruhua | Jia, Jian-Ping

Article Type: Research Article

Abstract: Abnormal amyloid-β (Aβ) aggregates are a striking feature of Alzheimer’s disease (AD), and Aβ oligomers have been proven to be crucial in the pathology of AD. Any intervention targeting the generation or aggregation of Aβ can be expected to be useful in AD treatment. Oxidative stress and inflammation are common pathological changes in AD that are involved in the generation and aggregation of Aβ. In the present study, 6-month-old PS1V97L transgenic (Tg) mice were treated with sulforaphane, an antioxidant, for 4 months, and this treatment significantly inhibited the generation and aggregation of Aβ. Sulforaphane also alleviated several downstream pathological changes …that including tau hyperphosphorylation, oxidative stress, and neuroinflammation. Most importantly, the cognition of the sulforaphane-treated PS1V97L Tg mice remained normal compared to that of wild-type mice at 10 months of age, when dementia typically emerges in PS1V97L Tg mice. Pretreating cultured cortical neurons with sulforaphane also protected against neuronal injury caused by Aβ oligomers in vitro . These findings suggest that sulforaphane may be a potential compound that can inhibit Aβ oligomer production in AD. Show more

Keywords: Aβ oligomer, Alzheimer’s disease, inflammation, oxidative stress, sulforaphane

DOI: 10.3233/JAD-171110

Citation: Journal of Alzheimer's Disease, vol. 62, no. 4, pp. 1803-1813, 2018

Authors: Tian, Yuan | Zhao, Ke | Yuan, Luer | Li, Jialing | Feng, Shuangbing | Feng, Yufeng | Fang, Zhongqi | Li, Hui | Deng, Ruoyu

Article Type: Research Article

Abstract: BACKGROUND: Although up-regulation of EIF3B correlates with poor prognosis in carcinomas, the role of EIF3B in non-small cell lung cancer (NSCLC) is rarely known. OBJECTIVE: We aimed to investigate correlation of EIF3B with clinicopathological features and prognosis in NSCLC patients, and clarify its effect on cells proliferation and apoptosis. METHODS: Two hundred and eleven NSCLC patients underwent surgery were retrospectively reviewed. Tumor tissue and paired adjacent tissue were obtained. EIF3B expression was detected by immunohistochemistry, qPCR and western blot. EIF3B inhibitor, blank inhibitor, blank mimic and EIF3B mimic plasmids were transfected to A-549 cells. Cells proliferation and apoptosis were measured …by CCK-8 and AV/PI. All processes were repeated for validation in PC9 cells. RESULTS: EIF3B expression increased in tumor tissue compared to paired adjacent tissue, and positively correlated with tumor size, lymph node metastasis and TNM stage. K-M curves revealed patients with EIF3B high expression had shorter DFS and OS, and its high expression independently predicted unfavorable DFS and OS. In vitro , EIF3B expression increased in NSCLC cells compared to normal cells. EIF3B increased cells proliferation but inhibited cells apoptosis. CONCLUSIONS: EIF3B overexpression correlates with advanced disease conditions and poor prognosis, and it promotes cells proliferation while inhibits apoptosis in NSCLC. Show more

Keywords: EIF3B, NSCLC, clinicopathological features, prognosis, proliferation, apoptosis

DOI: 10.3233/CBM-181628

Citation: Cancer Biomarkers, vol. 23, no. 2, pp. 291-300, 2018

Authors: Hong, Mei | Sun, Wen-Hao | Lu, Ming | Zhong, Tao-Li | Chen, Tian-Yuan | Zhao, Yi-Dong | Hong, Nan | Zhu, Yao | Ding, Yi-Yan

Article Type: Research Article

Abstract: BACKGROUND: In recent years, malignant tumors have gradually become one of the main causes of death for Chinese residents, of which lung cancer ranks first in both the incidence and mortality in China. OBJECTIVE: To mine the text of traditional Chinese medicine (TCM) clinical medical cases after data cleaning, analyze it, and study the experience of TCM doctors in treating non-small cell lung cancer (NSCLC). METHODS: The applied approach was based on the data mining methods of decentralized and hierarchical system clustering of data from a drug and prescription database. This study involved 215 patients, 287 cases, and 147 types …of clinical drugs. RESULTS: The data analysis of the clinical treatment of NSCLC in TCM showed that Erchen Decoction was the main method for the treatment of non-small cell lung cancer in clinical treatment of non-small cell lung cancer. Junjian recipes were close to each other, with Banzhilian, Lobelia, Shanci Mushroom, Hedyotis diffusa to anticancer and detoxify. CONCLUSION: This study analyzed the core TCM prescription for NSCLC by collecting the empirical essence and characteristics of specific medications. It has some guiding scientific significance for the clinical treatment of lung cancer. Show more

Keywords: Traditional Chinese medicine medical records, cluster analysis, non-small cell lung cancer, clinical experience, data mining, clinical research

DOI: 10.3233/THC-220644

Citation: Technology and Health Care, vol. 31, no. 5, pp. 1759-1770, 2023

Authors: Hong, Mei | Zhao, Yi-Dong | Zhong, Tao-Li | Lu, Ming | Sun, Wen-Hao | Chen, Tian-Yuan | Hong, Nan | Zhu, Yao | Yu, Da-Hai

Article Type: Research Article

Abstract: BACKGROUND: There are 1.8 million lung cancer deaths worldwide, accounting for 18% of global cancer deaths, including 710,000 in China, accounting for 23.8% of all cancer deaths in China. OBJECTIVE: To explore the out-of-set association rules of lung cancer symptoms and drugs through text mining of traditional Chinese medicine (TCM) treatment of lung cancer, and form medical case analysis to analyze the experience of TCM syndrome differentiation in its treatment. METHODS: The medical records of all patients diagnosed with lung cancer in Nanjing Chest Hospital from January to December 2018 were collected, and the out-of-set association analysis was performed using …the MedCase v5.2 TCM clinical scientific research auxiliary platform based on the frequent pattern growth enhanced association analysis algorithm. RESULTS: In terms of TCM treatment of lung cancer, the clinical symptoms with high correlation included cough, expectoration, chest distress, and white phlegm; and the drugs with high correlation included Pinellia ternata , licorice root, white Atractylodes rhizome , and Radix Ophiopogonis ; with the prescriptions based on Erchen and Maimendong decoctions. CONCLUSION: This analytical study of the medical cases of TCM treatment for lung cancer was performed using data mining techniques, and the out-of-set association rules between clinical symptoms and drugs were analyzed, including the understanding of lung cancer in TCM. Moreover, the essence of experience in drug use was gathered, providing significant scientific guidance for the clinical treatment of lung cancer. Show more

Keywords: Data mining, lung cancer, traditional Chinese medicine, out-of-set association

DOI: 10.3233/THC-230269

Citation: Technology and Health Care, vol. 32, no. 2, pp. 849-859, 2024

Authors: Zhang, Jing-Jing | Li, Lin | Liu, Dan | Hu, Fei-Fei | Cheng, Gui-Rong | Xu, Lang | Yan, Ping-Ting | Tian, Yuan | Hu, Heng | Yu, Ya-Fu | Gan, Xu-Guang | An, Li-Na | Zhang, Bo | Qian, Jin | Fu, Li-Yan | Cheng, Xi | Lian, Peng-Fei | Zou, Ming-Jun | Chen, Cong | Wu, Qing-Ming | Zeng, Yan

Article Type: Research Article

Abstract: Background: Some studies have demonstrated an association between low and high body mass index (BMI) and an increased risk of dementia. However, only a few of these studies were performed in rural areas. Objective: This cross–sectional study investigated the associations between BMI and cognitive impairment among community–dwelling older adults from rural and urban areas. Methods: 8,221 older persons enrolled in the Hubei Memory & Ageing Cohort Study (HMACS) were recruited. Sociodemographic and lifestyle data, comorbidities, physical measurements, and clinical diagnoses of cognitive impairment were analyzed. Logistic regression was performed to assess the associations of BMI categories with cognitive impairment. A …series of sensitivity analyses were conducted to test whether reverse causality could influence our results. Results: Being underweight in the rural–dwelling participants increased the risk of cognitive impairment. Being overweight was a protective factor in rural–dwelling participants aged 65–69 years and 75–79 years, whereas being underweight was significantly associated with cognitive impairment (OR, 1.37; 95% CI: 1.03–1.83; p  < 0.05). Sensitivity analyses support that underweight had an additive effect on the odds of cognitive impairment and was related to risk of dementia. Interaction test revealed that the differences between urban/rural in the relationship between BMI and cognitive impairment are statistically significant. Conclusion: Associations between BMI and cognitive impairment differ among urban/rural groups. Older people with low BMI living in rural China are at a higher risk for dementia than those living in urban areas. Show more

Keywords: Body mass index, cognitive impairment, community–dwelling older adults, cross–sectional study, rural–urban disparity

DOI: 10.3233/JAD-210295

Citation: Journal of Alzheimer's Disease, vol. 83, no. 4, pp. 1741-1752, 2021