Anatomically derived airway models to facilitate computational toxicology in mice

解剖学衍生的气道模型有助于小鼠计算毒理学

• 批准号: 9058542
• 负责人: Reinhard R. Beichel
• 金额: $ 39.86万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2018-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9058542
• 关键词: Aerosols; Affect; Air; Air Pollution; Algorithms; Anatomy; Animal Model; Animals; Asthma; Biological; Biology; Breathing; Chemicals; Computational Biology; Computer Simulation; Data; Data Set; Deposition; Disease; Dose; Drug Delivery Systems; Dust; Engineering; Exposure to; Gases; Gender; Geometry; Health; Human; Image; Inhalation Exposure; Investigation; Iowa; Liver; Lung; Lung diseases; Maps; Measurement; Measures; Methods; Modeling; Mouse Strains; Mus; Occupational; Occupational Exposure; Particle Size; Particulate; Pharmaceutical Preparations; Physiology; Process; Protocols documentation; Pulmonary Emphysema; Rattus; Research; Research Personnel; Resolution; Respiratory System; Risk Assessment; Site; Smoke; Source; Structure-Activity Relationship; Surface; Systemic disease; Tobacco smoke; Toxicology; Tweens; Universities; Washington; Work; base; dosimetry; human subject; imaging modality; improved; indexing; insight; mathematical model; mouse model; particle; programs; repository; respiratory; spectrograph; three-dimensional modeling; tool; uptake

 DESCRIPTION (provided by applicant): The mouse is the most commonly used animal model for toxicology risk assessments and tobacco smoke exposure. Because it is not possible to study every substance exposure or varying exposure conditions, mathematical models and computer simulations are employed to the gap or to extend the range of experimental data. However, computational toxicology is limited in its application to mouse inhalation exposure studies because of the lack of high-resolution accurate airway geometries needed for modeling and site-specific particle deposition data. By combining the unique imaging capabilities of the Imaging Cryomicrotome at the University of Washington with the expertise in highly-automated airway segmentation algorithms from the University of Iowa, we will develop the methods and provide high-resolution 3D geometries of the four most commonly studied mice strains along with site-specific airway particle dosimetry in the same animals. The high-resolution datasets will be shared through an open access repository and used by other investigators to accelerate investigation of health and diseases related to the respiratory system. This will in turn improve our understanding of site-specific airflows and how they affect drug, environmental, or biological aerosol deposition in health and diseases related to occupational exposures, air pollution and tobacco smoke.

 描述（由申请方提供）：小鼠是毒理学风险评估和烟草烟雾暴露最常用的动物模型。由于不可能研究每种物质的暴露或不同的暴露条件，因此采用数学模型和计算机模拟来弥补差距或扩大实验数据的范围。然而，计算毒理学是有限的，在其应用于小鼠吸入暴露的研究，因为缺乏高分辨率的精确的气道几何形状所需的建模和网站特定的颗粒沉积数据。通过将华盛顿大学的成像冷冻切片机的独特成像能力与爱荷华州大学的高度自动化气道分割算法的专业知识相结合，我们将开发方法，并提供四种最常研究的小鼠品系的高分辨率3D几何结构，沿着相同动物的特定部位气道颗粒剂量测定。高分辨率数据集将通过开放获取存储库共享，并由其他研究人员使用，以加速与呼吸系统相关的健康和疾病的调查。这将反过来提高我们对特定场所气流的理解，以及它们如何影响与职业暴露、空气污染和烟草烟雾有关的健康和疾病中的药物、环境或生物气溶胶沉积。