Population monitoring of stress markers in underserved communities

项目摘要/摘要 日常压力，以及社交、情感和经济方面的挑战，都会激活生理压力。当前 公共卫生监测系统无法量化数百万低资源和低收入人群的社区压力水平 服务不足的社区。通过识别使用废水经历高度压力的社区- 根据流行病学，公共卫生专业人员可以将资源分配给有需要的社区。另外， 主动(而不是回溯)识别压力危机有助于缓解长期后果 应激，如慢性心脏病，以及神经和危及生命的疾病和死亡。 废水监测是一种行之有效的战略，可以确定需要干预的领域，而不是依赖于 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 需要昂贵的基于实验室的测试，涉及劳动密集型样本收集、运输和 分析，导致很长(天)的周转时间。吉纳建议开发一种紧凑、便携、无标签的 使用高专一性适配子的石墨烯场效应管(G-FET)传感器可实现快速、准确、低成本 对废水样本中公认的压力生物标记物进行有效和多元化的监测。自.以来 与依赖废水批量采样的现有方法相比，传感器可以快速产生结果 流之后是昂贵、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演示一种测试方法和一个可在现场使用的原型 同时检测pg/m L废水中的多个应激生物标志物。支持…的证据 概念和缓解风险，Giner成功检测到废水溶液中的多肽生物标记物 包括靶向应激标志物之一神经肽Y(NPY)。我们将添加两个额外的重音 生物标记物、皮质醇和皮质松，以及一期中的种群标记物对黄嘌呤。 将使用吉纳的传感器对来自不同废水地点的数据进行分析，结果将在 采用金标准高效液相色谱-质谱仪联用方法。吉纳将通过利用其先前的专业知识在 生物传感器和废水测试，并与一个跨学科的科学家团队密切合作，社会 科学家和公共卫生流行病学家。一旦开发出来，这项技术也将适用于 检测可为其准备适配子的任何其他目标废水生物标记物。

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.