Validation and application of portable particulate device in the UW Twin Registry

便携式颗粒物装置在威斯康星大学双胞胎登记处的验证和应用

• 批准号: 9024534
• 负责人: GLEN E DUNCAN
• 金额: $ 17.54万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-03-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9024534
• 关键词: Accelerometer; Address; Adult; Air; Air Pollution; Allergens; Area; Behavior; Behavioral Genetics; Biological; Blood Pressure; Body mass index; Cellular Phone; Characteristics; Chronic Disease; Clinical; Clinical Data; Communities; DNA; Data; Data Analyses; Devices; Diet; Dizygotic Twins; Ecological momentary assessment; Environment; Environmental Exposure; Environmental Health; Environmental Monitoring; Epidemiologic Studies; Exposure to; Feedback; Focus Groups; Future; Genetic; Gold; Health; Height; Human; Hydrocortisone; Hypertension; Individual; Inflammation; Inflammatory; Interleukin-1 beta; Interleukin-10; Interleukin-6; Laboratory Study; Lead; Life; Life Style; Link; Measures; Methods; Mission; Modeling; Monitor; Monozygotic twins; Movement; National Institute of Environmental Health Sciences; Noise; Outcome; Participant; Particulate; Particulate Matter; Pattern; Personal Behavior; Phase; Physical activity; Play; Psychosocial Stress; Questionnaires; Registries; Research; Respiratory physiology; Sampling; Selection Bias; Sensitivity and Specificity; Specimen; Spirometry; Stress; Surveys; System; TNF gene; Technology; Time; Toxic Environmental Substances; Toxicant exposure; Toxin; Translations; Twin Multiple Birth; Universities; Update; Validation; Washington; Weight; Work; base; built environment; cost; cytokine; data management; design; field study; gene environment interaction; improved; innovation; insight; instrument; novel; particle; particle counter; phenotypic data; programs; repository; sound; tool; usability; waist circumference

DESCRIPTION (provided by applicant): This research addresses the mission of the National Institutes of Environmental Health Sciences by increasing our understanding of how the environment influences human health through validation of a new wearable device that measures multiple environmental toxicants in real-time and space, called the Portable University of Washington Particle Monitor (PUWPM), and application in a genetically informed sample of adult twins from the community-based UW Twin Registry (UWTR). The use of twins is unique in environment-based research because it will allow us to assess the associations between environmental exposures and health outcomes while controlling for genetic and shared environmental (familial) influences that might otherwise introduce selection biases into the choice of living environments that contribute to differential levels of exposures, and thus confound similar studies in unrelated individuals. Furthermore, our innovative methods will allow us to link environmental exposures with accelerometer and GPS-based measures of movement through space. Using GIS, we will capture spatially continuous variables relevant to the built environment at the same scale as the exposures and movement patterns. In the first phase the study (R21 phase), the design-feedback iterative cycle will be used to assess the feasibility and usability of the integrated PUWP monitor to assess multiple aspects of behavior and toxic exposures in 15 pairs of twins. Based on qualitative data obtained from focus groups and quantitative data from usability surveys, we will improve the design and ease of use of the PUWP through 2 or 3 iterative cycles. Concurrently, the validity of the PUWP will be established in these same 15 pairs compared to gold standard methods. In the second phase of the study (R33 phase), we will collect clinical measures including blood pressure, body mass index, waist circumference, and lung function (spirometry), as well as biologic measures including inflammatory cytokines and cortisol in a larger sample of 150 twin pairs. Using these measures, we will first compare associations between clinical/biological outcomes with PM 2.5 measures from the PUWP against their associations with exposure estimates based on ambient air quality models that are standard in the field. Next, we will determine the associations among air pollution, noise, and other environmental exposures from the integrated PUWP system, lifestyle behaviors including physical activity and diet, and psychosocial stress with the various clinical and biologic outcomes. Ultimately, our unique sample and methods will lead to new and important insights linking environmental, behavioral, and genetic aspects of chronic disease.

描述（申请人提供）：这项研究解决了美国国立环境健康科学研究院的使命，通过验证一种新的可穿戴设备来增加我们对环境如何影响人类健康的理解，该设备可以实时和空间测量多种环境毒物，称为华盛顿便携式大学颗粒监测器（PUWPM），并应用于来自社区的UW Twin Registry（UWTR）的成年双胞胎的遗传信息样本。双胞胎的使用在基于环境的研究中是独一无二的，因为它将使我们能够评估环境暴露与健康结果之间的关联，同时控制遗传和共享环境（家庭）影响，否则可能会在生活环境的选择中引入选择偏差，从而导致不同的暴露水平，从而混淆无关个体的类似研究。此外，我们的创新方法将使我们能够将环境暴露与加速度计和基于GPS的空间运动测量联系起来。使用GIS，我们将捕获与建筑环境相关的空间连续变量，其规模与暴露和运动模式相同。在研究的第一阶段（R21阶段），将使用设计反馈迭代循环来评估集成PUWP监测器的可行性和可用性，以评估15对双胞胎的行为和毒性暴露的多个方面。基于从焦点小组获得的定性数据和可用性调查获得的定量数据，我们将通过2或3个迭代周期改进PUWP的设计和易用性。同时，与金标准方法相比，将在相同的15对中确定PUWP的有效性。在研究的第二阶段（R33阶段），我们将收集临床指标，包括血压，体重指数，腰围和肺功能（肺功能测定法），以及生物指标，包括炎症细胞因子和皮质醇，样本量更大，为150对双胞胎。使用这些措施，我们将首先比较临床/生物学结果与PUWP中PM 2.5测量值之间的关联，以及它们与基于该领域标准环境空气质量模型的暴露估计值之间的关联。接下来，我们将确定综合PUWP系统的空气污染，噪音和其他环境暴露，生活方式行为（包括体力活动和饮食）以及心理社会压力与各种临床和生物学结果之间的关联。最终，我们独特的样本和方法将带来新的重要见解，将慢性疾病的环境，行为和遗传方面联系起来。

项目成果

Evaluation of micro-well collector for capture and analysis of aerosolized Bacillus subtilis spores.

• DOI: 10.1371/journal.pone.0197783
• 发表时间: 2018
• 期刊: PloS one
• 影响因子: 3.7
• 作者: He J;Beck NK;Kossik AL;Zhang J;Seto E;Meschke JS;Novosselov I
• 通讯作者: Novosselov I

Miniaturizing Wet Scrubbers for Aerosolized Droplet Capture.

• DOI: 10.1021/acs.analchem.1c01296
• 发表时间: 2021-08-24
• 期刊: ANALYTICAL CHEMISTRY
• 影响因子: 7.4
• 作者: Lee, Ulri N.;van Neel, Tammi L.;Lim, Fang Yun;Khor, Jian Wei;He, Jiayang;Vaddi, Ravi S.;Ong, Angelo Q. W.;Tang, Anthony;Berthier, Jean;Meschke, John S.;Novosselov, Igor, V;Theberge, Ashleigh B.;Berthier, Erwin
• 通讯作者: Berthier, Erwin

Integrating modelling and smart sensors for environmental and human health.

• DOI: 10.1016/j.envsoft.2015.06.003
• 发表时间: 2015-12-01
• 期刊: Environmental modelling & software : with environment data news
• 作者: Reis S;Seto E;Northcross A;Quinn NW;Convertino M;Jones RL;Maier HR;Schlink U;Steinle S;Vieno M;Wimberly MC
• 通讯作者: Wimberly MC