Proceedings of the 6th International Conference on Biomedical Engineering and Applications最新文献

Study on the Effect and Simulated Gastrointestinal Digestion of Polysaccharide Extracted from Ginseng Berry in Vitro 人参浆果多糖体外作用及模拟胃肠消化的研究

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543103

Yanru Chen, Tianyu Yin, Hang Cui, Miao Wang, T. Jin, Fushun Cui

引用次数: 0

Genetic evidence for the causal relationship between NAFLD and brain functional connectivity NAFLD与脑功能连通性之间因果关系的遗传证据

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543093

Xiao Li, Virgia Wang

{"title":"Genetic evidence for the causal relationship between NAFLD and brain functional connectivity","authors":"Xiao Li, Virgia Wang","doi":"10.1145/3543081.3543093","DOIUrl":"https://doi.org/10.1145/3543081.3543093","url":null,"abstract":"Liver disease is responsible for approximately 2 million deaths each year worldwide [1]. As one of the most prevalent liver diseases, Non-Alcoholic Fatty Liver Disease (NAFLD) is a term for a range of liver conditions affecting patients who drink little or no alcohol, but have over-storage of fat in their liver cells. The correlation existing between NAFLD and the brain has been well established by past studies. NAFLD has been found to be associated with cerebral risk factors including brain lesions, alterations in cerebral perfusion and activity [2], as well as certain brain phenotypes, such as cerebral brain volume [3] and White Matter Hyperintensities (WMH) [4]. A better knowledge of the association could lead to an improved management of risk, or at least lay a foundation for finding explanations for those correlation between the two, implying possible practical implications. In this study, we integrated two Genome-wide Association Studies (GWAS) datasets of Magnetic Resonance Imaging (MRI) of brain traits and NAFLD through Mendelian Randomization (MR), aiming to determine causal relationship as well as the direction of causality between NAFLD and certain brain phenotypes. We found that the functional connectivity between the brain region responsible for vision and that associated with emotional responses is significantly reduced by a higher risk of NAFLD (b≈-0.13, pval≈2.3E-05). The enrichment analysis also shows that the functional connectivity between brain regions is more likely to be affected by NAFLD, while the structural connectivity (measured by dMRI) is less likely to be influenced. Together our result provides a systematic evaluation for the association between NAFLD and brain phenotypes, and prioritizes the functional connectivity that tends to be affected by NAFLD, which could offer insight for the clinical diagnosis and treatment of NAFLD-induced cerebral disorders.","PeriodicalId":432056,"journal":{"name":"Proceedings of the 6th International Conference on Biomedical Engineering and Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127871872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Holographic Microscopy of Living Hela Cells Before and After Enzyme Treatments 活Hela细胞酶处理前后的数字全息显微镜

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543100

Tokio Yamazaki, Kota Hirayama, Y. Matsukawa, M. Takemura, K. Umemura

引用次数: 0

Endoplasmic Reticulum Unfolded Protein Response and Aging: Causality, Mechanism, and Interplay 内质网未折叠蛋白反应与衰老:因果关系、机制和相互作用

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543090

Chang-chun Li

{"title":"Endoplasmic Reticulum Unfolded Protein Response and Aging: Causality, Mechanism, and Interplay","authors":"Chang-chun Li","doi":"10.1145/3543081.3543090","DOIUrl":"https://doi.org/10.1145/3543081.3543090","url":null,"abstract":"Aging, the progressive decline of physiological integrity, is not an immutable process. Various genetic, physiological, and environmental factors could modulate this process. Maintaining proper conformation, concentration, and subcellular localization of proteins, proteostasis is critical for cellular functions and proteostasis collapse was proposed as one of the aging hallmarks. However, proteostasis is constantly challenged both pathologically and physiologically, especially in the Endoplasmic Reticulum (ER), the cellular protein processing hub. Therefore, Endoplasmic reticulum unfolded protein response (UPRER), a dedicated stress response pathway, was developed to deal with excess unfolded or misfolded protein and ultimately restore ER proteostasis. Here, recent advances in determining UPRER's role in aging were discussed first. Although accumulating evidence has suggested that UPRER contributes to aging causatively, such contribution is complicated and may depend on various factors including intensity, cell type, and duration. After that, several recent advances in determining the mechanisms through which UPRER contributes to aging, both cell autonomously and cell-nonautonomous, were discussed. UPRER's interconnection with other stress response pathways, aging hallmarks, and phenotypical markers of aging are discussed in the third section to provide a more holistic view of aging.","PeriodicalId":432056,"journal":{"name":"Proceedings of the 6th International Conference on Biomedical Engineering and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129176784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pseudotime Analysis Imputes the Missing Liver NAFLD Status in Public RNA-Seq Cohorts 伪时间分析推测公共RNA-Seq队列中缺失的肝脏NAFLD状态

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543094

Tongyang Wang, Xiangmei Dou

{"title":"Pseudotime Analysis Imputes the Missing Liver NAFLD Status in Public RNA-Seq Cohorts","authors":"Tongyang Wang, Xiangmei Dou","doi":"10.1145/3543081.3543094","DOIUrl":"https://doi.org/10.1145/3543081.3543094","url":null,"abstract":"Existing gene expression analysis methods like microarray or RNA-sequencing are unable to resolve the complex mechanisms of progression of non-alcoholic fatty liver disease (NAFLD) due to insufficient accuracy and lack of phenotypic data. Particularly, incomplete phenotypic data in public liver gene expression cohorts have cumbered many studies on the progression of NAFLD. To address this issue, the cutting-edge pseudotime analysis is adopted to estimate liver health status in human liver gene expression data. A set of 25 genes differentially expressed between the healthy controls and the NAFLD group samples are identified by differential expression (DE) Analysis. The identified DE genes separate the NAFLD patients and the healthy controls in hierarchical clustering, and their related biological pathways are highly relevant to liver signaling and injury, implying the close relationship between the DE gene expressions and NAFLD. What's more, the pseudotime analysis we conducted simulates the deterioration of NAFLD by using liver fat percent to represent NAFLD severity and aligning the candidate samples on the estimated trajectory according to their respective gene expression and covariates; we verified the pseudotime model using another microarray cohort. The verified pseudotime model is further applied to an RNA-Seq cohort (GTEx) to estimate the liver health status of samples that lacked phenotypic details. This model recurs the timeline of NAFLD progression and verifies the potential key roles of the expression of DE genes in this process. In conclusion, the expressions of the genes and their changes in distinct groups of samples are chronologically consistent with the progression of NAFLD severity. The pseudotime model can be used to impute the missing NAFLD phenotypes in public liver gene expression cohorts.","PeriodicalId":432056,"journal":{"name":"Proceedings of the 6th International Conference on Biomedical Engineering and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115271547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Recognition of Artificial Joint Wear Particles From Lubrication Fluid Based on Multi-View Image Features 基于多视角图像特征的润滑液人工关节磨损颗粒智能识别

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543087

Hongtao Yue, Yeping Peng, Song Wang, Guangzhong Cao, Huapeng Li

{"title":"Intelligent Recognition of Artificial Joint Wear Particles From Lubrication Fluid Based on Multi-View Image Features","authors":"Hongtao Yue, Yeping Peng, Song Wang, Guangzhong Cao, Huapeng Li","doi":"10.1145/3543081.3543087","DOIUrl":"https://doi.org/10.1145/3543081.3543087","url":null,"abstract":"Implanted artificial joints will produce a large number of abrasive particles due to friction. These abrasive particles not only aggravate the wear of the friction pair but also have a series of biological reactions with human tissues, which will affect the service life of the joints and the health of patients. Therefore, studying the types and generation mechanism of abrasive particles is of great significance to improve the reliability and service life of artificial joints. However, the traditional artificial joint wear particle analysis methods require complicated operations such as tissue fluid decomposition, dilution, centrifugation, and filtration, which are time-consuming and labor-intensive, and the chemical reagents used can also cause harm to the human body. To improve the automation level of artificial joint wear particle analysis and reduce manual intervention, an artificial joint wear particle analysis method is here proposed. This method is based on using image sequences for rapid extraction and classification of wear particle types. First, moving wear particles in the video are detected and tracked; then, extract the contour features of each particle for single-view recognition; finally, merge multi-view processing and Intelligent recognition to realize quantity statistics and morphological classification of artificial joint wear particles. Compared with the traditional analysis approaches, the proposed method achieves direct and rapid acquisition of the number and types of wear particles from the tissue fluid. This method can significantly reduce the labor and material costs, improve the analysis efficiency, and the wear state of the friction pair of the artificial joint.","PeriodicalId":432056,"journal":{"name":"Proceedings of the 6th International Conference on Biomedical Engineering and Applications","volume":"320 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122630929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Single Cell Manipulation and Characterization Intended to Study Pathology of Neural Diseases 单细胞操作和表征用于研究神经疾病的病理学

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543097

Hongyong Zhang, Pengbo Wang, Mohamad Sawan

引用次数: 0

Solving Brain Research Problems: Electroencephalography Focus 解决脑研究问题:脑电图焦点

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543084

T. Najafi, R. Jaafar

{"title":"Solving Brain Research Problems: Electroencephalography Focus","authors":"T. Najafi, R. Jaafar","doi":"10.1145/3543081.3543084","DOIUrl":"https://doi.org/10.1145/3543081.3543084","url":null,"abstract":"Brain as the central nervous system controls human functions assisted by neurons through processing the received information towards sending the commands. Brain research problems are mainly categorized in cognition, perception and sensation. Each problem originally refers to state of intracranial components and neuronal activity. Various techniques; non-invasive and invasive, are available to provide valuable information of the brain. Electroencephalography (EEG) is a non-invasive technique that is extensively applied in brain studies due to being convenient and affordable by recording and measuring the potential differences between two regions on the scalp representing overall neuronal activity. Despite EEG being a beneficial technique, it has the main drawback of missing intracranial knowledge. In this paper, three different brain study approaches are introduced; Mathematical-based, Engineering-based and Medical-engineering-based. The achievements from each study represent the challenges in each approach and propose the possible future investigations. In addition, EEG primary definitions are explained comprehensively. The paper provides sufficient information for researchers to choose suitable approach in solving research problems related to brain study using EEG.","PeriodicalId":432056,"journal":{"name":"Proceedings of the 6th International Conference on Biomedical Engineering and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125601680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Environmental Factors and Multiple Myeloma Risk: A Population-Based Retrospective Cohort Study in the United States 环境因素与多发性骨髓瘤风险:美国一项基于人群的回顾性队列研究

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543099

Dong-Gui Cai, Zhijun Li, Yulun Wu

{"title":"Environmental Factors and Multiple Myeloma Risk: A Population-Based Retrospective Cohort Study in the United States","authors":"Dong-Gui Cai, Zhijun Li, Yulun Wu","doi":"10.1145/3543081.3543099","DOIUrl":"https://doi.org/10.1145/3543081.3543099","url":null,"abstract":"Multiple myeloma (MM) is claimed to be a leading fatal cancer in the United States. A population-based retrospective cohort study was conducted to examine the relationship between the risk of multiple myeloma and environmental factors including CO2 intensity leaked by oil equivalent energy use, PM2.5, total greenhouse gas emission, and sanitized water usage, respectively, and to further determine any association's worldwide universality. We used multivariate unconditional analysis (ANOVA) to examine the distributions of MM incidence rate among groups with selected characteristics. In addition, we used multivariate conditioned generalized linear regression models to estimate effects of each environmental factor on MM incidence rate. A rate. Among black racial groups aged from 65 to 74 years in the United States, total greenhouse gas emission had a positive effect on the cancer risk as predicted. However, in accordance with empirical work to date, our comparative analyses revealed that MM incidence rate was not significantly associated with an increase in other in other variates relative to age. Thus, our combined results require further confirmation in other populations with specific personal information.","PeriodicalId":432056,"journal":{"name":"Proceedings of the 6th International Conference on Biomedical Engineering and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123553297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Improved Method of Extracting and Classifying DLBCL Information Genes 一种改进的DLBCL信息基因提取与分类方法

Proceedings of the 6th International Conference on Biomedical Engineering and Applications Pub Date : 2022-05-13 DOI: 10.1145/3543081.3543096

Changling Zuo, Hai Yan Wu, Min Zhu

{"title":"An Improved Method of Extracting and Classifying DLBCL Information Genes","authors":"Changling Zuo, Hai Yan Wu, Min Zhu","doi":"10.1145/3543081.3543096","DOIUrl":"https://doi.org/10.1145/3543081.3543096","url":null,"abstract":"The extraction of tumor information genes and the processing of gene expression profile data is a very important step in the study of gene expression profile, which is of great significance to the diagnosis of patients. In this paper, a novel method for Diffuse Large B-cell Lymphoma (DLBCL)information gene extraction and classification is proposed based on graph theory. Firstly, the expression of each gene under different conditions is mapped to make it easy to use the knowledge of graph theory to mine rules. Then singular value decomposition (SVD) was used to obtain the spectral information of the map and characterize the gene expression rule. The information gene subset was selected according to the calculation of cosine Angle and distance between the map and the ideal template. Finally, experiments are carried out on two public DLBCL data sets, and the experimental results show that the classification accuracy is above 85% no matter how many information genes are selected or the parameters of the classifier are adjusted. The optimal classification accuracy is 98.7%, which is satisfactory. The expression patterns of information genes related to DLBCL type recognition were presented to assist tumor specialists in identifying and treating DLBCL.","PeriodicalId":432056,"journal":{"name":"Proceedings of the 6th International Conference on Biomedical Engineering and Applications","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122157310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1