Population monitoring of stress markers in underserved communities

项目总结/摘要 日常压力，以及社会，情感和经济挑战，可以激活生理压力。电流 公共卫生监测系统无法量化数百万低资源和 服务不足的社区。通过确定使用废水面临高度压力的社区- 基于流行病学，公共卫生专业人员可以向有需要的社区分配资源。此外，本发明还 主动（而不是回顾）识别压力危机有助于减轻长期后果 慢性心脏病以及神经系统和危及生命的疾病和死亡。 废水监测是一项行之有效的战略，可用于确定需要干预的领域，而不是依赖 人口调查或急诊室、医院/诊所数据统计。然而，目前的废水分析 需要昂贵的实验室检测，涉及劳动密集型样本收集，运输， 分析，导致周转时间长（天）。Giner建议开发一种紧凑、便携、无标签的 石墨烯场效应晶体管（G-FET）传感器利用高特异性适体，实现快速、准确、低成本 对废水样品中已确立的应激生物标志物进行有效和多重监测。以来 与依赖于废水批量采样的现有方法相比，传感器可快速生成结果 流，然后进行昂贵，耗时的分析，这项技术将提供可操作的实时数据 成本仅为现有方法的一小部分，鼓励广泛使用。 该计划的总体目标是展示一种测试方法和一种现场可用的原型， 同时检测废水中pg/mL水平的多种应激生物标志物。为了证明 概念和减轻风险，Giner成功地检测了废水溶液中的肽生物标志物， 包括一种目标应激标志物，神经肽Y（NPY）。我们将增加两个额外的压力 生物标志物皮质醇和可的松，以及I期的群体标志物副黄嘌呤。多个样品 将使用Giner的传感器对来自不同废水处理场的废水进行分析， 使用金标准HPLC-MS/MS方法测定。Giner将利用其先前的专业知识， 生物传感器和废水测试，并与跨学科科学家团队、社会团体密切合作 科学家和公共卫生流行病学家。一旦开发出来，该技术也将适用于 检测可为其制备适体的任何另外的目标废水生物标志物。

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.