EAGER: Design and Validation of a Point-of-Care Device To Detect Biomarkers of Pain

EAGER：设计和验证用于检测疼痛生物标志物的护理点设备

• 批准号: 1842670
• 负责人: Stefan Bossmann
• 金额: $ 30万
• 依托单位: Kansas State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1842670&HistoricalAwards=false
• 关键词: EAGER; Design; Validation; Point; Care

Currently, there are no POC (Point of Care) sensing platforms available to individuals to monitor a patient's biological response to pain, disease triggers, airborne irritants, toxins, or the recurrence of an infectious disease or cancer, by direct and rapid profiling of critical biomarkers that may be present in biofluid samples. Such biomarker-based diagnostics could have numerous applications in precision medicine, among them precision pain management and the reduction of opioid abuse. This project will design, build, and validate a microfluidic point-of-care (POC) device that will separate, identify and quantify cytokines that are markers for pain. The device will analyze biomarkers of pain in all types of liquid biopsies.This research will focus on the detection of biomarkers for pain in the serum of a rat model. The cytokines will be identified at the required ultralow concentrations through binding to targeting peptide sequences featuring fluorescent labels and subsequent separation by means of Isoelectric Focusing (IEF). It is well established that pro- and anti-inflammatory cytokines correlate with the perception of pain. Therefore, the proposed POC-device will make pain "quantifiable" and enable precision pain management. The team of investigators will combine the required expertise in neuroscience, drug addiction and pain research (Dr. Cunningham), Biophotonics and medical device development (Dr. Motamedi), microfluidic technology and IEF device development (Dr. Culbertson), and biological chemistry, bioengineering, and Biophotonics (Dr. Bossmann, PI).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

目前，没有POC（Point of Care）感测平台可用于个人，以通过直接和快速分析可能存在于生物流体样品中的关键生物标志物来监测患者对疼痛、疾病触发物、空气传播的刺激物、毒素或传染病或癌症复发的生物反应。这种基于生物标志物的诊断可能在精准医学中有许多应用，其中包括精准疼痛管理和减少阿片类药物滥用。该项目将设计，构建和验证微流体护理点（POC）设备，该设备将分离，识别和量化作为疼痛标志物的细胞因子。该设备将分析所有类型的液体活检中的疼痛生物标志物。这项研究将集中在检测大鼠模型血清中的疼痛生物标志物。通过与具有荧光标记的靶向肽序列结合并随后通过等电聚焦（IEF）分离，在所需的超低浓度下鉴定细胞因子。众所周知，促炎细胞因子和抗炎细胞因子与疼痛的感知相关。因此，所提出的POC装置将使疼痛“可量化”，并实现精确的疼痛管理。研究小组将联合收割机结合神经科学、药物成瘾和疼痛研究方面所需的专业知识（坎宁安博士），生物光子学和医疗设备开发（Motamedi博士）、微流控技术和IEF设备开发（卡伯特森博士），生物化学，生物工程和生物光子学该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Optical biosensing of markers of mucosal inflammation.

• DOI: 10.1016/j.nano.2021.102476
• 发表时间: 2022-03
• 期刊: NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
• 影响因子: 5.4
• 作者: Covarrubias-Zambrano, Obdulia;Motamedi, Massoud;Ameredes, Bill T.;Tian, Bing;Calhoun, William J.;Zhao, Yingxin;Brasier, Allan R.;Kalubowilage, Madumali;Malalasekera, Aruni P.;Yapa, Asanka S.;Wang, Hongwang;Culbertson, Christopher T.;Troyer, Deryl L.;Bossmann, Stefan H.
• 通讯作者: Bossmann, Stefan H.

Impacts of Behavioral Biases on Active Learning Strategies

行为偏差对主动学习策略的影响

• DOI: 10.1109/icaiic54071.2022.9722689
• 发表时间: 2022
• 期刊: 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC
• 作者: Agarwal, Deepesh;Covarrubias-Zambrano, Obdulia;Bossmann, Stefan;Natarajan, Balasubramaniam
• 通讯作者: Natarajan, Balasubramaniam

Early detection of non-small cell lung cancer in liquid biopsies by ultrasensitive protease activity analysis

通过超灵敏蛋白酶活性分析在液体活检中早期检测非小细胞肺癌

• DOI: 10.20517/2394-4722.2020.45
• 发表时间: 2020
• 期刊: Journal of Cancer Metastasis and Treatment
• 作者: Udukala, Dinusha N.;Wendel, Sebastian O.;Wang, Hongwang;Yapa, Asanka S.;Covarrubias-Zambrano, Obdulia;Janik, Katharine;Gadbury, Gary;Troyer, Deryl L.;Bossmann, Stefan H.
• 通讯作者: Bossmann, Stefan H.