Laser-Engraved Wearable Sweat Sensors to Detect and Monitor Cardiometabolic Disease

用于检测和监测心脏代谢疾病的激光雕刻可穿戴汗液传感器

基本信息

批准号：
10680422
负责人：
Wei Gao
金额：
$ 39.87万
依托单位：
CALIFORNIA INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-08-23 至 2026-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10680422
关键词：
Acceleration Adult Affect Amino Acids Antibodies Biological Markers Biosensing Techniques Biotechnology Blood Branched-Chain Amino Acids COVID-19 pandemic Calibration Cardiology Cardiometabolic Disease Cardiovascular system Cessation of life Chemistry Chronic Clinical Clinical Nutrition Collaborations Cystic Fibrosis Detection Diabetes Mellitus Diagnosis Dietary Intervention Disease Electrolytes Engineering Engravings Epigenetic Process Event Fatty Liver Generations Genetic Glucose Goals Gold Gout Home Human Hyperlipidemia Hypertension In Situ Institutional Review Boards Insulin Intervention Isoleucine Joints Lasers Leucine Liquid substance Measurement Medicine Metabolic Metabolic Diseases Metabolic syndrome Methods Microfluidics Molecular Monitor Morbidity - disease rate Myocardial Infarction Natural regeneration Nature Non-Insulin-Dependent Diabetes Mellitus Non-Invasive Detection Obesity Obesity Epidemic Pathogenesis Patient Monitoring Patients Physical activity Physiologic Monitoring Physiological Population Potassium Prediabetes syndrome Prevention Protocols documentation Publications Reduce health disparities Research Risk Risk Factors Sampling Stroke System Techniques Temperature Testing Uncertainty Uric Acid Valine cardiometabolic risk cardiometabolism clinically relevant clinically significant design evaporation graphene high risk imprint ischemic cardiomyopathy manufacturing cost mortality nano nanoengineering non-invasive monitor novel nutrition obese patients obese person personalized health care remote screening screening sensor simulation temporal measurement wearable device wearable sensor technology wireless wireless sensor

项目摘要

PROJECT SUMMARY Metabolic syndrome is on the rise as the leading cause of morbidity and mortality, affecting more than a third of all U.S. adults. If untreated, patients who develop type 2 diabetes mellitus (T2D) are at high-risk for major adverse cardiovascular events, including stroke, myocardial infarction, and cardiovascular related deaths. Despite chronic screening and monitoring for patient-specific prediction and prevention for cardiometabolic disease, there remains a bottleneck to detect and monitor the metabolic risk factors underlying the rising epidemic of obesity-associated with hyperlipidemia, hypertension, and diabetes. For these reasons, developing wearable molecular sensors, which allow for seamless screening, monitoring, and potentially enables timely intervention, is clinically significant to confront the rising endemic of cardiometabolic disorders. In this project, we propose to continuously monitor a panel of key metabolic biomarkers including glucose, uric acid, branched-chain amino acids (BCAAs: leucine, isoleucine, and valine), and insulin using an integrated Molecular Sensing System (iMSS). We hypothesize that seamless detection of cardiometabolic biomarkers accelerates our capacity to identify metabolic risk factors in our prediabetic patients with obesity for early nutrition intervention to reduce health disparities in the U.S. In addition to integrating with our existing glucose and uric acid sensors, we propose to develop novel laser-engraved wearable sensors for continuous monitoring of BCAAs and insulin based on a novel nanobiosensing approach that combines high-throughput laser-fabricated graphene, molecular imprinting based ‘artificial antibody’, and in situ sensor regeneration technique. This approach will enable large-scale, low-cost fabrication of highly sensitive and selective sensors for continuous monitoring of clinical meaningful cardiometabolic analytes in human sweat at ultralow concentrations (such as BCAAs). The use of laser-induced microfluidics and numerical simulation-guided design optimization enables efficient fluid sampling with minimized effects from the sensing delay and fluid evaporation. Harnessing the power of concurrent multiplexed cardiometabolic sensing, adjusted electrochemical measurements based on pH, electrolytes, temperature, and sweat rate calibration minimize the systematic uncertainties persisted in the current generation of wearable sensing systems. We will validate the correlation of the sweat/blood biomarkers in healthy subjects using the iMSS and deploy these epidermal sensors to the high-risk patients. We envision that the iMSS system will provide an entry point to identify pre- diabetes and obesity at risk for conversion to T2D, and will have translational significance to mitigate clinical manifestation of major adverse cardiovascular events.

项目摘要代谢综合征作为发病率和死亡率的主要原因正在上升，影响了三分之一以上在所有美国成年人中。如果未经治疗，患有2型糖尿病（T2D）的患者在高风险中对于主要不良心血管事件，包括中风，心肌梗塞和心血管相关死亡。尽管长期筛查和监测患者特异性预测和预防心脏代谢疾病，仍然有一个瓶颈来检测和监测上升的代谢风险因素与高脂血症，高血压和糖尿病相关的肥胖症流行。由于这些原因，开发可穿戴的分子传感器，从而可以进行无缝筛选，监视和潜在的启用及时干预，在临床上与心脏代谢性疾病的内在构成上升具有临床意义。在这个项目中，我们建议连续监视一组关键代谢生物标志物，包括葡萄糖，尿酸，分支链氨基酸（BCAAS：亮氨酸，异亮氨酸和瓣膜）和胰岛素使用综合分子传感系统（IMS）。我们假设心脏代谢的无缝检测生物标志物加速了我们鉴定肥胖前患者中鉴定代谢危险因素的能力除了与我们现有葡萄糖和尿酸传感器，我们建议开发新型激光磨牙的可穿戴传感器基于一种新型纳米接种方法对BCAA和胰岛素的监测，该方法结合了高通量激光制作石墨烯，基于“人造抗体”的分子印刷和原位传感器再生技术。这种方法将实现高度敏感和选择性传感器的大规模低成本制造为了连续监测超大汗水中临床有意义的心脏代谢分析物浓度（例如BCAA）。使用激光诱导的微流体和数值模拟引导的使用设计优化可实现有效的流体采样，并从灵敏度延迟和流体中最小化效果蒸发。利用并发多重心脏代谢感应的功能，调整基于pH，电解质，温度和出汗速率校准最小的电化学测量系统的不确定性在当前一代的可穿戴感应系统中持续存在。我们将验证使用IMS的健康受试者中汗/血液生物标志物的相关性并部署这些表皮高危患者的传感器。我们设想IMSS系统将提供一个切入点，以识别前糖尿病和肥胖有可能转化为T2D的风险，并将其转化为减轻临床的意义重大不良心血管事件的表现。

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

An autonomous wearable biosensor powered by a perovskite solar cell

DOI：
10.1038/s41928-023-00996-y
发表时间：
2023-07-20
期刊：
NATURE ELECTRONICS
影响因子：
34.3
作者：
Min, Jihong;Demchyshyn, Stepan;Gao, Wei
通讯作者：
Gao, Wei

Artificial intelligence-powered electronic skin

DOI：
10.1038/s42256-023-00760-z
发表时间：
2023-12
期刊：
Nature machine intelligence
影响因子：
23.8
作者：
Changhao Xu;Samuel A. Solomon;Wei Gao
通讯作者：
Changhao Xu;Samuel A. Solomon;Wei Gao

Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics.

DOI：
10.1002/adma.202107902
发表时间：
2022-04
期刊：
ADVANCED MATERIALS
影响因子：
29.4
作者：
Heng, Wenzheng;Solomon, Samuel;Gao, Wei
通讯作者：
Gao, Wei

Fibrous wearable and implantable bioelectronics

DOI：
10.1063/5.0152744
发表时间：
2023-09-01
期刊：
APPLIED PHYSICS REVIEWS
影响因子：
15
作者：
Sadri，Behnam;Gao，Wei
通讯作者：
Gao，Wei

A wearable electrochemical biosensor for the monitoring of metabolites and nutrients.

DOI：
10.1038/s41551-022-00916-z
发表时间：
2022-11
期刊：
NATURE BIOMEDICAL ENGINEERING
影响因子：
28.1
作者：
Wang, Minqiang;Yang, Yiran;Min, Jihong;Song, Yu;Tu, Jiaobing;Mukasa, Daniel;Ye, Cui;Xu, Changhao;Heflin, Nicole;McCune, Jeannine S.;Hsiai, Tzung K.;Li, Zhaoping;Gao, Wei
通讯作者：
Gao, Wei