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Development of an intraoral device for therapeutic drug monitoring of anti-epileptic drugs

开发用于抗癫痫药物治疗药物监测的口内装置

基本信息

批准号：
10452435
负责人：
Elain Fu
金额：
$ 20.51万
依托单位：
OREGON STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-14 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10452435
关键词：
Address Algorithms Antiepileptic Agents Asthma Beds Biocompatible Materials Biological Assay Biological Markers Blood Blood capillaries Capillarity Carbamazepine Caregivers Chronic Obstructive Pulmonary Disease Clinic Clinical Coupling Data Data Display Dental Detection Development Devices Diagnosis Disease Dose Drug Interactions Drug Kinetics Drug Monitoring Drug Side Effects Electrodes Electronics Emerging Technologies Epilepsy Feedback Future Health Healthcare In Vitro Individual Intervention Label Laboratories Machine Learning Measurable Measurement Measures Mental disorders Microfluidic Microchips Microfluidics Modeling Modification Monitor Noise Oral Oral cavity Patients Performance Persons Pharmaceutical Preparations Pharmacology Process Saliva Salivary Sampling Secure Seizures Serum Signal Transduction Symptoms Technology Temperature Therapeutic Therapeutic Uses Time Toxic effect Translating Validation Variant Viscosity Work base cross reactivity dental resin handheld mobile device health application improved individual variation innovation lamotrigine personalized health care personalized management point of care precision medicine prototype real time monitoring salivary assay sensor signal processing standard of care wireless

项目摘要

PROJECT ABSTRACT Saliva is the ideal biofluid for therapeutic drug monitoring applications in general, and specifically for continuous monitoring because it is amenable to measurement noninvasively within the oral cavity. The development of an intraoral device for the continuous real-time monitoring of anti-epileptic drugs in saliva could enable the promise of precision medicine and advancing optimal dosing for each individual. In this project, we will demonstrate feasibility of our proposed intraoral sensor platform by coupling capillarity-based microfluidics and electrochemical detection to ultra-low-power readout electronics, and to use a machine-learning-based approach for offline processing of sensor data, to create an intraoral sensor for the real-time quantification of therapeutic drug levels in saliva in the presence of variation of salivary pH, temperature, and other common confounders. The intraoral sensor will consist of a reusable, comfortable electronics module that will fit securely into the patient’s mouth, and that interfaces with a disposable microfluidic chip containing voltammetry-based detection. The intraoral sensor electronics module will communicate wirelessly with a mobile device that will process the data and display and relay drug levels semi-continuously and in real time.

项目摘要唾液是治疗药物监测应用的理想生物流体，特别是持续监测，因为它可以在口腔内进行非侵入性测量。这个研制一种口腔内连续实时监测唾液中抗癫痫药物的装置实现精准医疗的承诺，并推进每个人的最佳剂量。在这个项目中，我们将展示我们建议的口腔内传感器平台的可行性，通过耦合基于毛细管的微流体而电化学检测以超低功耗读出电子器件，并采用基于机器学习的方法用于离线处理传感器数据的方法，以创建用于口腔内传感器的实时量化治疗药物在唾液中的浓度在唾液pH、温度等常见情况下的变化混血儿。口腔内传感器将由一个可重复使用的、舒适的电子模块组成，安全地进入患者的口腔，并与包含以下内容的一次性微流控芯片接口基于伏安法的检测。口腔内传感器电子模块将与一个一种移动设备，将处理数据并半连续和实时显示和传递药物水平。