Population monitoring of stress markers in underserved communities

服务欠缺社区压力标记的人口监测

• 批准号: 10766447
• 负责人: Avni A Argun
• 金额: $ 28.22万
• 依托单位: GINER, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-15 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10766447
• 关键词: Accident and Emergency department; Acute; Address; Adult; Algorithms; Area; Back; Benchmarking; Biological Assay; Biological Markers; Biosensor; Boston; Buffers; Caffeine; Chronic; Clinics and Hospitals; Collaborations; Collection; Communities; Community Health; Consumption; Cortisone; Data; Data Collection; Data Correlations; Detection; Development; Devices; Disasters; Discrimination; Disease; Emotional; Epidemiologist; Epidemiology; Event; Feces; Goals; Health; Health Professional; Health Status; Heart Diseases; High Pressure Liquid Chromatography; Hormones; Human; Human body; Hydrocortisone; Individual; Intervention; Label; Laboratories; Life; Massachusetts; Measures; Methodology; Methods; Minority Groups; Monitor; Mouth Diseases; National Heart, Lung, and Blood Institute; Neighborhood Health Center; Neighborhoods; Neurologic; Nucleic Acids; Opioid; Oral Diagnosis; Outcome; Peptides; Phase; Physics; Physiological; Population; Population Distributions; Poverty; Public Health; Resource Allocation; Resource-limited setting; Resources; Risk; Rural Community; Saliva; Salivary; Sampling; Scientist; Sensitivity and Specificity; Shapes; Site; Specificity; Stream; Stress; Structural Racism; Students; Surveys; System; Technology; Testing; Time; Transistors; Transportation; United States; Urban Community; Urine; Validation; Work; acute stress; aptamer; college; cost; cost effective; cross reactivity; design; detection limit; experience; graphene; health assessment; health disparity; heart disease risk; improved; instrument; minority communities; neuropeptide Y; pandemic disease; pandemic impact; performance tests; population survey; portability; post-pandemic; professor; programs; prototype; racism; research and development; response; sample collection; sensor; septic; social; statistics; success; tool; underserved community; vulnerable community; wastewater epidemiology; wastewater monitoring; wastewater samples; wastewater sampling; wastewater testing

PROJECT SUMMARY/ABSTRACT Daily stresses, as well as social, emotional, and financial challenges, can activate physiological stress. Current public health monitoring systems cannot quantify community stress levels for millions of low-resource and underserved communities. By identifying communities experiencing high levels of stress using wastewater- based epidemiology, public health professionals can allocate resources to communities in need. Additionally, proactively (rather than retrospectively) identifying stress crises can help alleviate the long-term consequences of stress such as chronic heart diseases as well as neurological and life-threatening diseases and fatalities. Wastewater monitoring is a proven strategy to identify areas needing intervention instead of relying on population surveys or emergency-room, hospital/clinics data statistics. However, current wastewater analysis requires costly laboratory-based tests that involve labor-intensive sample collection, transportation, and analysis, resulting in long (days) turnaround times. Giner proposes to develop a compact, portable, label-free Graphene Field Effect Transistor (G-FET) sensor utilizing high-specificity aptamers for rapid, accurate, cost- effective, and multiplexed monitoring of well-established stress biomarkers in wastewater samples. Since the sensor generates rapid results compared to incumbent methods which rely on batch sampling of wastewater streams followed by expensive, time-consuming analysis, this technology will provide actionable real-time data at a fraction of the cost of incumbent methods, encouraging widespread use. The overall goal of the program is to demonstrate a test methodology and a field-ready prototype for simultaneous detection of multiple stress biomarkers in wastewater at pg/mL levels. To support the proof of concept and alleviate risk, Giner has successfully detected peptide biomarkers in wastewater solutions including one of the target stress markers, Neuropeptide Y (NPY). We will add two additional stress biomarkers, Cortisol and Cortisone, as well as a population marker Paraxanthine in Phase I. Multiple samples from various wastewater sites will be analyzed with Giner’s sensor and the results will be cross-validated in house using the gold standard HPLC-MS/MS method. Giner will achieve this by using its prior expertise in biosensors and wastewater testing and in close collaboration with an interdisciplinary team of scientists, social scientists, and public health epidemiologists. Once developed, the technology will also be suitable for the detection of any additional target wastewater biomarkers for which an aptamer can be prepared.

项目总结/文摘