Innovative Biomarkers to Predict Radiation Lung Injury

预测放射性肺损伤的创新生物标志物

• 批准号: 8655141
• 负责人: MEETHA M MEDHORA
• 金额: $ 38.19万
• 依托单位: MEDICAL COLLEGE OF WISCONSIN
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-21 至 2017-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8655141
• 关键词: Acute; Animal Model; Animals; Apoptosis; Apoptotic; Area; Biological Assay; Biological Markers; Blinded; Blood; Cell Death; Cells; Characteristics; Chest; Clinic; Clinical; Diagnostic; Dose; Dose-Limiting; Evaluation; Event; Exhalation; Experimental Models; Exposure to; Fibrosis; Functional disorder; Gamma Rays; Gases; Goals; High-Throughput Nucleotide Sequencing; Hour; Image; Imaging Techniques; Injury; Label; Laboratories; Linear Energy Transfer; Lipopolysaccharides; Lung; Malignant neoplasm of lung; Measures; MicroRNAs; Modeling; Mus; Neutrons; Nitric Oxide; Nuclear Accidents; Organ; Outcome; Patients; Pattern; Perfusion; Plasma; Pneumonia; Prospective Studies; Proteins; Radiation; Radiation Injuries; Radiation Pneumonitis; Radiation therapy; Rat Strains; Rattus; Regimen; Reporting; Research; Research Design; Research Personnel; Respiratory physiology; Roentgen Rays; Role; Sepsis; Severities; Skin; Source; Specificity; Structure; Symptoms; Techniques; Testing; Therapeutic Intervention; Time; Whole-Body Irradiation; base; design; duramycin; experience; gastrointestinal; in vivo; injured; innovation; interest; irradiation; lung imaging; lung injury; lung volume; malignant breast neoplasm; mass casualty; meetings; minimally invasive; next generation sequencing; novel; response; single photon emission computed tomography; small molecule; success

DESCRIPTION (provided by applicant): The lung is a radiosensitive organ and at least half of all the nuclear accidents reported between 1950 and 2000 include lung injuries. Unlike gastrointestinal, skin and hematological injuries, there is a significant window of time (6-8 weeks) between radiation exposure and symptoms of pulmonary dysfunction. We have evidence that mitigating agents can reduce lethality from pneumonitis in rats when started as late as 35 days post exposure. Therefore, biomarkers that predict lung injury in the first 30 days after a radiological event will serve a very important role in identifying and protecting victims o a mass casualty event from lung injury. We have identified doses of total body and whole thorax irradiation that induce lethal pneumonitis in a reproducible manner from 0-100 percent of rats. Using such models, we have tested over 15 assays of lung function and 26 circulating proteins. Based on our results and those of others, we have chosen three classes of minimally invasive and novel biomarkers as candidates to predict lethal pneumonitis. We will test our biomarkers with low (X-rays) and mixed (neutrons and gamma rays) linear energy transfer (LET) sources of radiation that resemble an A-bomb. In Aim 1, exhaled breath and blood markers will be tested. Increase in the gas nitric oxide (NO) in exhaled breath, has been demonstrated to predict radiation pneumonitis. Blood will be used to identify all novel or existing circulating microRNA that may predict lung injury, using an exhaustive next-generation sequencing (microRNA seq) approach. Aim 2 will focus on another area of interest of the RFA, organ-specific imaging. Using single-photon emission computed tomography (SPECT) we will image lungs to measure the decrease in pulmonary perfusion in vivo (known to occur in a specific pattern after radiation) and/or pulmonary cell death that may predict lethal pneumonitis. In Aim 3 we will confirm biomarkers positive for radiation-specific lung injury from Aims 1 and 2 in a second species of rat. Finally, we will confirm our results by conducting a blinded trial in rats to predict radiatio pneumonitis and measure the accuracy of the selected biomarkers. A combination of established models, a high throughput sequencing technique and efficient study design will allow us to complete our aims in a timely manner. We have established models of radiation injury and a team which includes renowned experts to help us reach our goals.

描述（由申请人提供）：肺是放射敏感器官，1950 年至 2000 年间报告的所有核事故中至少有一半涉及肺损伤。与胃肠道、皮肤和血液损伤不同，辐射暴露和肺功能障碍症状之间有一个显着的时间窗口（6-8周）。我们有证据表明，在暴露后 35 天开始使用缓解剂可以降低大鼠肺炎的致死率。因此，预测放射性事件发生后 30 天内肺损伤的生物标志物将在识别和保护大规模伤亡事件中的肺损伤受害者方面发挥非常重要的作用。我们已经确定了全身和整个胸部照射的剂量，以可重复的方式对 0-100% 的大鼠诱发致命性肺炎。使用此类模型，我们测试了超过 15 项肺功能检测和 26 种循环蛋白。根据我们和其他人的结果，我们选择了三类微创和新型生物标志物作为预测致命性肺炎的候选标志物。我们将使用类似于原子弹的低（X 射线）和混合（中子和伽马射线）线性能量转移 (LET) 辐射源来测试我们的生物标记物。在目标 1 中，将测试呼气和血液标记。呼出气中气体一氧化氮 (NO) 的增加已被证明可以预测放射性肺炎。使用详尽的下一代测序 (microRNA seq) 方法，血液将用于识别所有可能预测肺损伤的新型或现有循环 microRNA。目标 2 将重点关注 RFA 的另一个感兴趣的领域，即器官特异性成像。使用单光子发射计算机断层扫描 (SPECT)，我们将对肺部进行成像，以测量体内肺灌注的减少（已知在辐射后以特定模式发生）和/或肺细胞死亡，这可能预测致命性肺炎。在目标 3 中，我们将在第二种大鼠中确认目标 1 和目标 2 中辐射特异性肺损伤的生物标志物呈阳性。最后，我们将通过在大鼠中进行盲法试验来预测放射性肺炎并测量所选生物标志物的准确性来确认我们的结果。已建立的模型、高通量测序技术和高效的研究设计的结合将使我们能够及时完成我们的目标。我们建立了辐射损伤模型和一支由知名专家组成的团队来帮助我们实现目标。