精准医学在糖尿病治疗中的应用

Ziqi Ma
{"title":"精准医学在糖尿病治疗中的应用","authors":"Ziqi Ma","doi":"10.1109/ISEC52395.2021.9763920","DOIUrl":null,"url":null,"abstract":"Precision medicine has evolved from an initial focus on personalized medicine based on genetics to a broader notion that includes diagnosis, prediction, prevention, monitoring, treatment, and prognostics by integrating multi-dimensional data from biological and extrinsic environments. It is beneficial to health problems, especially type II and gestational diabetes, since both types are closely relevant to genetics and personal life habits. Our long-term goal is to continuously develop an app that monitors patients’ real-time glucose fluctuations by using optical glucose sensors paired with a modified cell phone while tracking important information about individuals’ unique biology, environment, and context to determine their potential risk factors. Helpful reminders are provided by integrating and analyzing individual data pools to minimize the exposure to specific risks. In this work, we use a proof-of-concept fluorescent glucose sensor implanted under a person’s skin. The sensor’s key mechanism is by applying the chemical equilibrium of Boronate formation between a Boronate Ester and Glucose to form a Glucose-Derived Bornite Ester. When alizarin-phenylboronic acid (fluorescent) binds with glucose, it will be dissociated into glucose-derived Boronate Ester (Not Fluorescent). Therefore, the change in fluorescence intensity corresponds to the glucose concentration. The modified cell phone measures the glucose levels by scanning the sensor spot, and fluorescence readout is then transmitted to our developed app. Furthermore, information, such as weight, diet, excise, and mental health, are also recorded. With such information, the algorithm we developed in the app can interpret the personal data and finally generate a report that will be a significant reference in the precision diabetes therapy strategy. The app can also learn the user’s lifestyle and provide some suggestions, such as the number of calories in one meal and the type of exercise the people should do. Furthermore, we will have a social component in the app where users have the opportunity to interact with their friends and followers to learn their healthy activities such as physical exercises. We believe that reminding people to pay attention to their health and guiding them to a healthy lifestyle will be the most meaningful goal of our work.","PeriodicalId":329844,"journal":{"name":"2021 IEEE Integrated STEM Education Conference (ISEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The application of precision medicine for diabetes treatment\",\"authors\":\"Ziqi Ma\",\"doi\":\"10.1109/ISEC52395.2021.9763920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Precision medicine has evolved from an initial focus on personalized medicine based on genetics to a broader notion that includes diagnosis, prediction, prevention, monitoring, treatment, and prognostics by integrating multi-dimensional data from biological and extrinsic environments. It is beneficial to health problems, especially type II and gestational diabetes, since both types are closely relevant to genetics and personal life habits. Our long-term goal is to continuously develop an app that monitors patients’ real-time glucose fluctuations by using optical glucose sensors paired with a modified cell phone while tracking important information about individuals’ unique biology, environment, and context to determine their potential risk factors. Helpful reminders are provided by integrating and analyzing individual data pools to minimize the exposure to specific risks. In this work, we use a proof-of-concept fluorescent glucose sensor implanted under a person’s skin. The sensor’s key mechanism is by applying the chemical equilibrium of Boronate formation between a Boronate Ester and Glucose to form a Glucose-Derived Bornite Ester. When alizarin-phenylboronic acid (fluorescent) binds with glucose, it will be dissociated into glucose-derived Boronate Ester (Not Fluorescent). Therefore, the change in fluorescence intensity corresponds to the glucose concentration. The modified cell phone measures the glucose levels by scanning the sensor spot, and fluorescence readout is then transmitted to our developed app. Furthermore, information, such as weight, diet, excise, and mental health, are also recorded. With such information, the algorithm we developed in the app can interpret the personal data and finally generate a report that will be a significant reference in the precision diabetes therapy strategy. The app can also learn the user’s lifestyle and provide some suggestions, such as the number of calories in one meal and the type of exercise the people should do. Furthermore, we will have a social component in the app where users have the opportunity to interact with their friends and followers to learn their healthy activities such as physical exercises. We believe that reminding people to pay attention to their health and guiding them to a healthy lifestyle will be the most meaningful goal of our work.\",\"PeriodicalId\":329844,\"journal\":{\"name\":\"2021 IEEE Integrated STEM Education Conference (ISEC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Integrated STEM Education Conference (ISEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISEC52395.2021.9763920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Integrated STEM Education Conference (ISEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISEC52395.2021.9763920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

精准医疗已经从最初关注基于遗传学的个性化医疗发展到一个更广泛的概念,包括诊断、预测、预防、监测、治疗和预后,通过整合来自生物和外在环境的多维数据。它有利于健康问题,特别是II型糖尿病和妊娠糖尿病,因为这两种类型都与遗传和个人生活习惯密切相关。我们的长期目标是不断开发一个应用程序,通过使用光学葡萄糖传感器与改进的手机配对,监测患者的实时血糖波动,同时跟踪有关个体独特的生物学,环境和背景的重要信息,以确定其潜在的风险因素。通过集成和分析单个数据池,将暴露于特定风险的风险最小化,从而提供有用的提醒。在这项工作中,我们使用了一种概念验证型荧光葡萄糖传感器植入人体皮肤下。该传感器的关键机制是通过应用硼酸酯和葡萄糖之间形成硼酸盐的化学平衡来形成葡萄糖衍生的硼酸酯。当茜素-苯硼酸(荧光)与葡萄糖结合时,它将解离成葡萄糖衍生的硼酸酯(非荧光)。因此,荧光强度的变化对应于葡萄糖浓度。改进后的手机通过扫描传感器点来测量葡萄糖水平,然后将荧光读数传输到我们开发的应用程序。此外,还记录了体重、饮食、锻炼和心理健康等信息。有了这些信息,我们在app中开发的算法可以对个人数据进行解读,最终生成一份报告,这将成为精准糖尿病治疗策略的重要参考。这款应用还可以了解用户的生活方式,并提供一些建议,比如一顿饭的卡路里摄入量和人们应该做的运动类型。此外,我们将在应用程序中有一个社交组件,用户有机会与他们的朋友和关注者互动,了解他们的健康活动,如体育锻炼。我们相信,提醒人们关注自己的健康,引导他们养成健康的生活方式,将是我们工作最有意义的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of precision medicine for diabetes treatment
Precision medicine has evolved from an initial focus on personalized medicine based on genetics to a broader notion that includes diagnosis, prediction, prevention, monitoring, treatment, and prognostics by integrating multi-dimensional data from biological and extrinsic environments. It is beneficial to health problems, especially type II and gestational diabetes, since both types are closely relevant to genetics and personal life habits. Our long-term goal is to continuously develop an app that monitors patients’ real-time glucose fluctuations by using optical glucose sensors paired with a modified cell phone while tracking important information about individuals’ unique biology, environment, and context to determine their potential risk factors. Helpful reminders are provided by integrating and analyzing individual data pools to minimize the exposure to specific risks. In this work, we use a proof-of-concept fluorescent glucose sensor implanted under a person’s skin. The sensor’s key mechanism is by applying the chemical equilibrium of Boronate formation between a Boronate Ester and Glucose to form a Glucose-Derived Bornite Ester. When alizarin-phenylboronic acid (fluorescent) binds with glucose, it will be dissociated into glucose-derived Boronate Ester (Not Fluorescent). Therefore, the change in fluorescence intensity corresponds to the glucose concentration. The modified cell phone measures the glucose levels by scanning the sensor spot, and fluorescence readout is then transmitted to our developed app. Furthermore, information, such as weight, diet, excise, and mental health, are also recorded. With such information, the algorithm we developed in the app can interpret the personal data and finally generate a report that will be a significant reference in the precision diabetes therapy strategy. The app can also learn the user’s lifestyle and provide some suggestions, such as the number of calories in one meal and the type of exercise the people should do. Furthermore, we will have a social component in the app where users have the opportunity to interact with their friends and followers to learn their healthy activities such as physical exercises. We believe that reminding people to pay attention to their health and guiding them to a healthy lifestyle will be the most meaningful goal of our work.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信