This article analyzes global COVID-19 from a statistical perspective. Based on SIR Model, the rate of infectivity and recovery in each country are calculated, which are used to be a clustering basis. Thus, 20 selected countries are divided into 3 clusters. The article also studies how the dynamics would change when adding noise to parameters and give some policies and solutions based on two situations. Sensitivity analysis indicates that the infection rate plays a more significant role in outcomes.
{"title":"Statistical Analysis on COVID-19 Based on SIR Model","authors":"Feng Liang, Ziyuan Li","doi":"10.1145/3449258.3449261","DOIUrl":"https://doi.org/10.1145/3449258.3449261","url":null,"abstract":"This article analyzes global COVID-19 from a statistical perspective. Based on SIR Model, the rate of infectivity and recovery in each country are calculated, which are used to be a clustering basis. Thus, 20 selected countries are divided into 3 clusters. The article also studies how the dynamics would change when adding noise to parameters and give some policies and solutions based on two situations. Sensitivity analysis indicates that the infection rate plays a more significant role in outcomes.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130580314","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}
Tjokorda Sari Nindhia, Tjokorda Gde Tirta Nindhia, Ni Nyoman Trisnawati
Acanthus ilicifolius Linn is a spiny herb found in tropical regions of Asia. Common names of which are holy leaved acanthus, sea holly and holy mangrove. It is a vine shrub or tall herb, up to 1.5 m high, scarcely (hamper) woody, bushy, with very dense growth. Historically, the plant is employed in traditional systems of medicine, including Indian, Chinese, and Indonesian traditional medicine treating various ailments. The information was collected along the year of 2019 from around 45 informants form Bali Island of Indonesia. The age, sex, type of diseases or sickness as well as method of using the pant medicine was used. Investigation on pharmacology activity will be carried out by literature study. Data obtained along the years of 2019 from 45 informants that was cured with Acanthus ilicifolius Linn as medicinal plant. About 30 types of health problem can be cured. The breast cancer was reported with highest case (4) that can be cured, followed by fistule (3). Cyst, lymphadenopathy, bartholin's cyst, acne, diabetic ulcer, gastritis, and dermatitis alergica are among diseases that have 2 cases in this work. The rest of some diseases with only 1 case found along the years 2019 are reported in this article.
{"title":"Data on Potential of Indonesian variety of Sea holly (Acanthus ilicifolius Linn) as Herbal Medicine","authors":"Tjokorda Sari Nindhia, Tjokorda Gde Tirta Nindhia, Ni Nyoman Trisnawati","doi":"10.1145/3449258.3449268","DOIUrl":"https://doi.org/10.1145/3449258.3449268","url":null,"abstract":"Acanthus ilicifolius Linn is a spiny herb found in tropical regions of Asia. Common names of which are holy leaved acanthus, sea holly and holy mangrove. It is a vine shrub or tall herb, up to 1.5 m high, scarcely (hamper) woody, bushy, with very dense growth. Historically, the plant is employed in traditional systems of medicine, including Indian, Chinese, and Indonesian traditional medicine treating various ailments. The information was collected along the year of 2019 from around 45 informants form Bali Island of Indonesia. The age, sex, type of diseases or sickness as well as method of using the pant medicine was used. Investigation on pharmacology activity will be carried out by literature study. Data obtained along the years of 2019 from 45 informants that was cured with Acanthus ilicifolius Linn as medicinal plant. About 30 types of health problem can be cured. The breast cancer was reported with highest case (4) that can be cured, followed by fistule (3). Cyst, lymphadenopathy, bartholin's cyst, acne, diabetic ulcer, gastritis, and dermatitis alergica are among diseases that have 2 cases in this work. The rest of some diseases with only 1 case found along the years 2019 are reported in this article.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121426115","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}
Demetrio Fabian Garcia Nocetti, Pliar Duran Hernandez, Martin Fuentes Cruz, M. Fuentes Cano, Adalberto Joel Duran Ortega
This paper presents the design and implementation of a locomotor activity monitoring system in rodents. The system was developed on an electronic platform based on open code hardware and software (Arduino Nano), which includes additional electronic circuits such as real time clock (RTC) to record date and time and a flash memory (microSD) for storage of records. In order to facilitate both installation and operation of the system, it was designed in a modular way. Each autonomous monitoring system (Arduino Nano + RTC + microSD) includes a sensor signal conditioning electronic interface with the capacity to operate up to ten breeding cages. In the design of the monitoring system an energy backup is considered through an uninterruptible power supply (UPS). The resulting data sets are grouped into periods of 5 or 10 minutes and stored in a microSD memory, for further analysis and presentation. The records are presented in the form of a locomotor activity profile and also in the form of single and double plotted actogram. The contribution of this system is in an increase in the capacity to acquire experimental data, without interfering with other experiments in the same workspace due to its modularity and a reduction in electrical energy costs.
{"title":"Locomotor Activity Monitoring System in Rodents","authors":"Demetrio Fabian Garcia Nocetti, Pliar Duran Hernandez, Martin Fuentes Cruz, M. Fuentes Cano, Adalberto Joel Duran Ortega","doi":"10.1145/3449258.3449271","DOIUrl":"https://doi.org/10.1145/3449258.3449271","url":null,"abstract":"This paper presents the design and implementation of a locomotor activity monitoring system in rodents. The system was developed on an electronic platform based on open code hardware and software (Arduino Nano), which includes additional electronic circuits such as real time clock (RTC) to record date and time and a flash memory (microSD) for storage of records. In order to facilitate both installation and operation of the system, it was designed in a modular way. Each autonomous monitoring system (Arduino Nano + RTC + microSD) includes a sensor signal conditioning electronic interface with the capacity to operate up to ten breeding cages. In the design of the monitoring system an energy backup is considered through an uninterruptible power supply (UPS). The resulting data sets are grouped into periods of 5 or 10 minutes and stored in a microSD memory, for further analysis and presentation. The records are presented in the form of a locomotor activity profile and also in the form of single and double plotted actogram. The contribution of this system is in an increase in the capacity to acquire experimental data, without interfering with other experiments in the same workspace due to its modularity and a reduction in electrical energy costs.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133518092","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}
Acupuncture and SPARC program have similar neuroscientific principles and therapeutic mechanisms. This paper introduces two therapies and their scientific principles and applications. The Stimulating Peripheral Activity to Relieve Conditions (SPARC) program is a National Institutes of Health (NIH) Common Fund committed to exploring the interrelation between nerves and organs and treating diseases caused by neurological dysregulation through developing new neurostimulation devices and treatment protocols. Traditional Chinese acupuncture refers to a disease treatment method that silver needles are applied to stimulate specified sites on the body surface of patients via different manipulations, so as to regulate the neuro-endocrine-immune (NEI) system. Therefore, the SPARC program resembles acupuncture in terms of the therapeutic mechanism and stimulation site, but they are slightly different regarding the theoretical and ideological foundation, therapeutic range and manipulation method. The treatment thoughts of dominant diseases should be mutually referenced by the development of traditional Chinese and Western medicine, so as to provide new enlightenments for their own development. In this paper, the two therapies were compared in this paper, and the way to promote their advancement was explored.
{"title":"Research on and Comparison of the Stimulating Peripheral Activity to Relieve Conditions and Acupuncture","authors":"Taoran Jia","doi":"10.1145/3449258.3449265","DOIUrl":"https://doi.org/10.1145/3449258.3449265","url":null,"abstract":"Acupuncture and SPARC program have similar neuroscientific principles and therapeutic mechanisms. This paper introduces two therapies and their scientific principles and applications. The Stimulating Peripheral Activity to Relieve Conditions (SPARC) program is a National Institutes of Health (NIH) Common Fund committed to exploring the interrelation between nerves and organs and treating diseases caused by neurological dysregulation through developing new neurostimulation devices and treatment protocols. Traditional Chinese acupuncture refers to a disease treatment method that silver needles are applied to stimulate specified sites on the body surface of patients via different manipulations, so as to regulate the neuro-endocrine-immune (NEI) system. Therefore, the SPARC program resembles acupuncture in terms of the therapeutic mechanism and stimulation site, but they are slightly different regarding the theoretical and ideological foundation, therapeutic range and manipulation method. The treatment thoughts of dominant diseases should be mutually referenced by the development of traditional Chinese and Western medicine, so as to provide new enlightenments for their own development. In this paper, the two therapies were compared in this paper, and the way to promote their advancement was explored.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117159521","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}
Since December 2019, COVID-19 has become a major health issue threatening health conditions of people all around the world, overwhelming public health systems. In order to take a further look at the vulnerability of minorities facing the pandemic, the aim of this study was to review the racial disparities among different ethnic groups in the United States. Statistical data collected from the Epic Health Record System was analyzed along with data analysis from Kaiser Family Foundation to look at the influence of the pandemic on ethnic groups. In contrast to White respondents, Non-White ethnic groups have dramatically higher hospitalization and mortality rate. The high infection rate could possibly be a marker of underlying issues like income and healthcare disparities. Structural and systematical racism could play a huge role in public health issues and action from the federal government will be necessary to resolve the health crisis.
{"title":"Racial Disparities During the COVID-19 Pandemic","authors":"Xiuqi Han","doi":"10.1145/3449258.3449263","DOIUrl":"https://doi.org/10.1145/3449258.3449263","url":null,"abstract":"Since December 2019, COVID-19 has become a major health issue threatening health conditions of people all around the world, overwhelming public health systems. In order to take a further look at the vulnerability of minorities facing the pandemic, the aim of this study was to review the racial disparities among different ethnic groups in the United States. Statistical data collected from the Epic Health Record System was analyzed along with data analysis from Kaiser Family Foundation to look at the influence of the pandemic on ethnic groups. In contrast to White respondents, Non-White ethnic groups have dramatically higher hospitalization and mortality rate. The high infection rate could possibly be a marker of underlying issues like income and healthcare disparities. Structural and systematical racism could play a huge role in public health issues and action from the federal government will be necessary to resolve the health crisis.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124091667","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}
Tiago Oliveira Pereira, Maryam Abbasi, B. Ribeiro, Joel P. Arrais
The long period of time and the enormous financial costs required to bring a new drug to the market are a clear impediment to the development of new drugs. Deep Learning techniques at early stages of drug discovery can help to select candidate drugs with biological properties of interest, reduce the enormous research space of drug-like compounds and minimize these issues. This study aims to perform generation of targeted molecules by training the recurrent neural network to learn the building rules of production of valid molecules in the form of SMILES strings and optimize it to produce molecules with bespoke properties through Reinforcement Learning. The fitness of the newly generated molecules is obtained by a second neural network model. To demonstrate the effectiveness of the method, we trained the proposed model to design molecules with high inhibitory power for the k-opioid receptor (KOR). The optimized model was able to generate molecules with a stronger affinity for KOR, maintaining the percentage of valid molecules and, with satisfactory internal and external diversities based on Tanimoto similarity over 95%.
{"title":"End-to-end Deep Reinforcement Learning for Targeted Drug Generation","authors":"Tiago Oliveira Pereira, Maryam Abbasi, B. Ribeiro, Joel P. Arrais","doi":"10.1145/3449258.3449260","DOIUrl":"https://doi.org/10.1145/3449258.3449260","url":null,"abstract":"The long period of time and the enormous financial costs required to bring a new drug to the market are a clear impediment to the development of new drugs. Deep Learning techniques at early stages of drug discovery can help to select candidate drugs with biological properties of interest, reduce the enormous research space of drug-like compounds and minimize these issues. This study aims to perform generation of targeted molecules by training the recurrent neural network to learn the building rules of production of valid molecules in the form of SMILES strings and optimize it to produce molecules with bespoke properties through Reinforcement Learning. The fitness of the newly generated molecules is obtained by a second neural network model. To demonstrate the effectiveness of the method, we trained the proposed model to design molecules with high inhibitory power for the k-opioid receptor (KOR). The optimized model was able to generate molecules with a stronger affinity for KOR, maintaining the percentage of valid molecules and, with satisfactory internal and external diversities based on Tanimoto similarity over 95%.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117092214","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}
There are various fall detection algorithms that have been developed as the solution to the increase on the risk of fall on elderly. A fall detection system which is low-cost is certainly favored, but that pose another question on whether the system is accurate enough by using low-cost components. This paper will discuss the analysis on the feasibility of a threshold-based fall detection system that was realized with ADXL 345 sensor, which is considered as a low-cost accelerometer sensor. A simulated fall study and simulated Activities of Daily Living (ADL) study was conducted so that the accuracy of the realized system can be known. The result of this experimental study shows that the realized system has a satisfactory accuracy comparable to other systems which use more advanced sensor(s), but further study which involves elderly as subjects is needed to give a more accurate insight about the accuracy of the system.
{"title":"An Analysis on the Feasibility of a Low-cost Fall Detection System: Feasibility study on threshold-based fall detection system that is realized using ADXL 345 tri-axial accelerometer which is considered as a low-cost sensor","authors":"Samuel Caryabudi, Atar Fuady Babgei, A. Arifin","doi":"10.1145/3449258.3449270","DOIUrl":"https://doi.org/10.1145/3449258.3449270","url":null,"abstract":"There are various fall detection algorithms that have been developed as the solution to the increase on the risk of fall on elderly. A fall detection system which is low-cost is certainly favored, but that pose another question on whether the system is accurate enough by using low-cost components. This paper will discuss the analysis on the feasibility of a threshold-based fall detection system that was realized with ADXL 345 sensor, which is considered as a low-cost accelerometer sensor. A simulated fall study and simulated Activities of Daily Living (ADL) study was conducted so that the accuracy of the realized system can be known. The result of this experimental study shows that the realized system has a satisfactory accuracy comparable to other systems which use more advanced sensor(s), but further study which involves elderly as subjects is needed to give a more accurate insight about the accuracy of the system.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824703","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}
According to the WHO, the most common disease is hypertension. Certain situations are easily overlooked. In most cases, major bleeding caused by trauma is not considered a disease, and thousands are suffering from it. The treatment towards bleeding is still very old fashion because there is no certain improvement since the beginning of the 20th century. Platelet is one of the key factors of wound healing. The formation of a plug plays a crucial role in preventing heavy bleeding. There are many studies describing the function of the platelet, such as its function on dentistry or recovery after chemotherapy. However, the main original function of the platelet is also distinguishable. This article will introduce the nanotech based GS5-MOF and its function of an artificial wound healing enhancer and a healing speed up enzyme.
{"title":"Platelet Application on Wound Healing","authors":"Mingye W. Xie","doi":"10.1145/3449258.3449267","DOIUrl":"https://doi.org/10.1145/3449258.3449267","url":null,"abstract":"According to the WHO, the most common disease is hypertension. Certain situations are easily overlooked. In most cases, major bleeding caused by trauma is not considered a disease, and thousands are suffering from it. The treatment towards bleeding is still very old fashion because there is no certain improvement since the beginning of the 20th century. Platelet is one of the key factors of wound healing. The formation of a plug plays a crucial role in preventing heavy bleeding. There are many studies describing the function of the platelet, such as its function on dentistry or recovery after chemotherapy. However, the main original function of the platelet is also distinguishable. This article will introduce the nanotech based GS5-MOF and its function of an artificial wound healing enhancer and a healing speed up enzyme.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125388","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}
Pujan Joshi, Honglin Wang, B. Basso, S. Hong, C. Giardina, Dong-Guk Shin
Pathway analysis is a key step in genomics study to reduce the data complexity and associate prior biological knowledge. Over representation analysis (ORA), Functional class scoring (FCS), and Topology based (TB) analysis are considered as three generations of pathway analysis techniques. These methods only detect the differential activity of an entire pathway, thereby ignoring the importance of routes and sections within the pathway. A novel route-based pathway analysis framework, Route based Pathway Analysis in Cohorts (rPAC), is discussed in this paper which uses pathway topology in true sense by identifying and scoring individual routes within pathways. Activity scores and p-values are calculated for all signaling and effector routes from KEGG signaling pathways with transcriptomics data from each sample in the given cohort. Overall route activity in a cohort is assessed in terms of two summary metrics, “Proportion of Significance” (PS) and “Average Route Score” (ARS). A systematic evaluation based on large number of simulated data showed rPAC significantly outperforming the traditional pathway analysis methods. Case studies of three epithelial cancers from The Cancer Genome Atlas (TCGA) repository revealed that some pathway routes (e.g., tight junction, Th17 cell differentiation, adipocytokine signaling etc.) can notably differentiate cancer types, while other pathway routes that are related to lipid metabolism and adipocytes metabolism are co-regulated in different cancers. While most of the findings are corroborated by the current understanding of cancer biology, many previously uncharacterized mechanisms were identified by rPAC analysis, exhibiting the potential to yield new insights into cancer phenotypes.
途径分析是基因组学研究中降低数据复杂性和关联先验生物学知识的关键步骤。超表征分析(ORA)、功能类评分(FCS)和基于拓扑(TB)的分析被认为是三代路径分析技术。这些方法只检测整个通路的差异活动，从而忽略了通路内的路线和部分的重要性。本文讨论了一种新的基于路由的路径分析框架——基于路由的队列路径分析(rPAC)，该框架通过识别和评分路径中的单个路径，真正意义上使用了路径拓扑。根据给定队列中每个样本的转录组学数据，计算KEGG信号通路中所有信号通路和效应通路的活动分数和p值。队列中的总体路线活动是根据两个综合指标来评估的，“显著性比例”(PS)和“平均路线得分”(ARS)。基于大量模拟数据的系统评价表明，rPAC显著优于传统的路径分析方法。来自The Cancer Genome Atlas (TCGA) repository的三种上皮性癌症的案例研究表明，一些通路(如紧密连接、Th17细胞分化、脂肪细胞因子信号传导等)可以显著区分癌症类型，而其他与脂质代谢和脂肪细胞代谢相关的通路在不同的癌症中是共同调控的。虽然目前对癌症生物学的理解证实了大多数发现，但通过rPAC分析确定了许多以前未表征的机制，显示出对癌症表型产生新见解的潜力。
{"title":"A Framework for Route Based Pathway Analysis of Gene Expression Data","authors":"Pujan Joshi, Honglin Wang, B. Basso, S. Hong, C. Giardina, Dong-Guk Shin","doi":"10.1145/3449258.3449262","DOIUrl":"https://doi.org/10.1145/3449258.3449262","url":null,"abstract":"Pathway analysis is a key step in genomics study to reduce the data complexity and associate prior biological knowledge. Over representation analysis (ORA), Functional class scoring (FCS), and Topology based (TB) analysis are considered as three generations of pathway analysis techniques. These methods only detect the differential activity of an entire pathway, thereby ignoring the importance of routes and sections within the pathway. A novel route-based pathway analysis framework, Route based Pathway Analysis in Cohorts (rPAC), is discussed in this paper which uses pathway topology in true sense by identifying and scoring individual routes within pathways. Activity scores and p-values are calculated for all signaling and effector routes from KEGG signaling pathways with transcriptomics data from each sample in the given cohort. Overall route activity in a cohort is assessed in terms of two summary metrics, “Proportion of Significance” (PS) and “Average Route Score” (ARS). A systematic evaluation based on large number of simulated data showed rPAC significantly outperforming the traditional pathway analysis methods. Case studies of three epithelial cancers from The Cancer Genome Atlas (TCGA) repository revealed that some pathway routes (e.g., tight junction, Th17 cell differentiation, adipocytokine signaling etc.) can notably differentiate cancer types, while other pathway routes that are related to lipid metabolism and adipocytes metabolism are co-regulated in different cancers. While most of the findings are corroborated by the current understanding of cancer biology, many previously uncharacterized mechanisms were identified by rPAC analysis, exhibiting the potential to yield new insights into cancer phenotypes.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275551","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}
At present, many research results support that dairy products are beneficial to human health. However, the actual consumption of dairy products in China is far lower than that recommended in the dietary guidelines for Chinese residents. There are many kinds of dairy products on the market, which can be divided into seven categories. The most important nutritional components of dairy products are protein, fat, lactose, vitamins and minerals. This paper reviews the association between dairy consumption and various chronic diseases. The results show that: Increased dairy products intake has a positive or neutral effect on Cardiovascular diseases; Dairy products, especially yogurt, can reduce the risk of T2DM; Dairy consumption is related to the reduction of obesity rate, which is more obvious in women; The association between dairy consumption and cancer is more complex, yogurt and low fat dairy products may have positive effect, while high fat dairy products may have negative effect or no correlation. In addition, dairy products are also related to intestinal health, osteoporosis, sarcopenia and chronic kidney disease. Due to the importance of dairy products for various chronic diseases, this article encourages Chinese residents to increase dairy consumption and strengthen dietary balance. At the same time, we call for further research on the mechanism of dairy products on chronic diseases.
{"title":"Study on Dairy Nutrition and Association with Chronic","authors":"Ziwei Liang","doi":"10.1145/3449258.3449269","DOIUrl":"https://doi.org/10.1145/3449258.3449269","url":null,"abstract":"At present, many research results support that dairy products are beneficial to human health. However, the actual consumption of dairy products in China is far lower than that recommended in the dietary guidelines for Chinese residents. There are many kinds of dairy products on the market, which can be divided into seven categories. The most important nutritional components of dairy products are protein, fat, lactose, vitamins and minerals. This paper reviews the association between dairy consumption and various chronic diseases. The results show that: Increased dairy products intake has a positive or neutral effect on Cardiovascular diseases; Dairy products, especially yogurt, can reduce the risk of T2DM; Dairy consumption is related to the reduction of obesity rate, which is more obvious in women; The association between dairy consumption and cancer is more complex, yogurt and low fat dairy products may have positive effect, while high fat dairy products may have negative effect or no correlation. In addition, dairy products are also related to intestinal health, osteoporosis, sarcopenia and chronic kidney disease. Due to the importance of dairy products for various chronic diseases, this article encourages Chinese residents to increase dairy consumption and strengthen dietary balance. At the same time, we call for further research on the mechanism of dairy products on chronic diseases.","PeriodicalId":278216,"journal":{"name":"Proceedings of the 2020 4th International Conference on Computational Biology and Bioinformatics","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128459449","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}
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