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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.

项目摘要唾液是一般治疗药物监测应用的理想生物流体，特别是连续监测，因为它适合在口腔内进行无创测量。这开发用于连续实时监测唾液中抗癫痫药物的口内装置可以实现精准医疗的承诺并为每个人提供最佳剂量。在这个项目中，我们将通过耦合基于毛细管现象的微流体来展示我们提出的口腔内传感器平台的可行性和电化学检测到超低功耗读出电子设备，并使用基于机器学习的离线处理传感器数据的方法，创建用于实时量化的口腔内传感器在唾液 pH、温度和其他常见因素发生变化的情况下，唾液中治疗药物的浓度混杂因素。口内传感器将由一个可重复使用、舒适的电子模块组成，该模块适合安全地进入患者的口腔，并与一次性微流控芯片接口，其中包含基于伏安法的检测。口腔内传感器电子模块将与移动设备将处理数据并半连续实时显示和转发药物水平。