PFI-TT: A Rapid Multiplexed Diagnostic Tool for Serology of Tick-Borne Diseases

PFI-TT：蜱传疾病血清学快速多重诊断工具

• 批准号: 2345816
• 负责人: Aydogan Ozcan
• 金额: $ 55万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2345816&HistoricalAwards=false
• 关键词: PFI; TT; Rapid; Multiplexed; Diagnostic

This Partnerships for Innovation - Technology Translation (PFI-TT) project seeks to improve blood-based detection of tick-borne diseases (TBDs) through an innovative, multiplexed, serological point-of-care (POC) assay. Addressing a critical gap in current TBD diagnostic methods, this project will develop a comprehensive platform for Lyme disease, Babesia, Anaplasma, and relapsing fever. By encompassing different TBDs co-located in similar geographical areas, the platform provides a single test solution to determine exposure to multiple TBDs, thus capturing a significant segment of the available market. The simplicity and affordability of the tool make it beneficial for resource-limited and rural areas, most impacted by TBDs. Furthermore, the platform is expected to have significant societal and healthcare benefits, allowing patients and physicians to conduct timely testing to measure immune response against multiple TBDs, which is critical in determining patient care and treatment regimens. The commercial potential of this project lies in filling a substantial market need for comprehensive and cost-effective TBD diagnostics, promising widespread adoption in various healthcare settings, including clinics and field-stations. By enhancing scientific understanding and technology in the medical diagnostics field, this project aligns with the broader goal of improving global health.This project focuses on the development of a POC, multiplexed, serological assay capable of detecting multiple TBDs simultaneously. The technology addresses the challenge of cross-reactivity, co-infection of different TBDs in endemic regions and limited sensitivity and specificity in current serological tests. By integrating specific antigen epitopes for various TBDs into a single multiplexed assay and employing advanced machine learning algorithms, this solution aims to significantly enhance serodiagnostic accuracy. The research involves iterative epitope selection and optimization of the paper-based immunoreaction platform comprising the multiplexed panel. The technology also involves developing a robust, machine learning-based diagnostic algorithm to analyze different biomarker-specific signals into interpretable and actionable diagnoses that can be used by physicians to treat patients. This project addresses the current lack of a point-of-care (POC) multiplexed test for TBDs, where patients typically require multiple tests at different centralized labs. The project's anticipated outcomes include improved serodiagnostic capabilities for various TBDs, contributing significantly to the fields of medical diagnostics and public health, particularly in areas with a high prevalence of tick-borne infections.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.

该创新合作伙伴关系 - 技术转化 (PFI-TT) 项目旨在通过创新的多重血清学即时护理 (POC) 检测来改进蜱传疾病 (TBD) 的血液检测。该项目将解决当前待定诊断方法中的一个关键差距，将为莱姆病、巴贝虫病、无形体和回归热开发一个综合平台。通过涵盖位于相似地理区域的不同 TBD，该平台提供了单一测试解决方案来确定多个 TBD 的暴露程度，从而占领了可用市场的重要部分。该工具的简单性和经济性使其对受 TBD 影响最大的资源有限和农村地区有利。此外，该平台预计将具有显着的社会和医疗保健效益，使患者和医生能够及时进行测试，以测量针对多种 TBD 的免疫反应，这对于确定患者护理和治疗方案至关重要。该项目的商业潜力在于满足全面且具有成本效益的 TBD 诊断的巨大市场需求，有望在包括诊所和现场站在内的各种医疗保健环境中得到广泛采用。通过增强医学诊断领域的科学理解和技术，该项目与改善全球健康这一更广泛的目标保持一致。该项目的重点是开发能够同时检测多种 TBD 的 POC、多重血清学检测方法。该技术解决了流行地区不同 TBD 的交叉反应、共同感染以及当前血清学检测的敏感性和特异性有限的挑战。通过将各种 TBD 的特定抗原表位整合到单个多重检测中并采用先进的机器学习算法，该解决方案旨在显着提高血清诊断的准确性。该研究涉及迭代表位选择和包含多重面板的纸基免疫反应平台的优化。该技术还涉及开发一种强大的、基于机器学习的诊断算法，将不同的生物标志物特异性信号分析成可解释和可操作的诊断，可供医生用来治疗患者。该项目解决了目前缺乏针对 TBD 的即时护理 (POC) 多重测试的问题，患者通常需要在不同的集中实验室进行多项测试。该项目的预期成果包括提高各种 TBD 的血清诊断能力，为医疗诊断和公共卫生领域做出重大贡献，特别是在蜱传感染高发地区。该奖项反映了 NSF 的法定使命，并被认为值得支持通过使用基金会的智力优点和更广泛的影响审查标准进行评估。