PREDICTIVE MATHEMATICAL MODEL OF INFLAMMATION FOR SHOCK/TRAUMA

休克/创伤炎症的预测数学模型

• 批准号: 7094107
• 负责人: YORAM VODOVOTZ
• 金额: $ 25.12万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7094107
• 关键词: T lymphocyte; biological signal transduction; cell differentiation; computer program /software; computer system design /evaluation; dendritic cells; enzyme inhibitors; hemorrhagic shock; human subject; inflammation; injury; laboratory mouse; laboratory rat; macrophage; mathematical model; mitogen activated protein kinase; model design /development; natural killer cells; nitric oxide; organ; patient oriented research; regulatory gene; resuscitation; stress; trauma

Trauma and hemorrhage elicit an acute inflammatory response. This process involves migration and activation of leukocytes, secretion of cytokines, and the production of free radicals. Together, these changes may result in severe organ dysfunction and death. We have developed a mathematical model that describes the mediators of acute inflammation, and is calibrated in mice subjected to endotoxemia, surgical trauma, and hemorrhagic shock. This model was further calibrated in human endotoxemia. Though informed by circulating mediators, this model expresses the physiological derangement experienced by individual organs in terms of a global tissue dysfunction equation. The close correlation between the output of the mathematical model of inflammation and experimental data suggests that a common inflammatory response underlies diverse shock states, raising the possibility of modeling the inflammatory process in vivo. We hypothesize that a validated and calibrated mathematical model of inflammation and its pathologic consequences will be useful for predicting outcome in patients suffering from traumatic/hemorrhagic shock. We will test this hypothesis in two Specific Aims. In Aim 1, we will augment our mathematical model in rodents, including elements of adaptive immunity, and simulate therapeutic interventions. We will modify our model to include natural killer (NK) cells, NKT cells, mast cells, dendritic cells, and TH1 and TH2 cells. We will modify how we model reactions of nitric oxide, examine the roles of HMG-B1 and hyaluronic acid as pro-inflammatory alarm molecules, and model the impact of MAP kinase inhibitors. Furthermore, the mathematical model will inform and will be informed by the hypotheses presented in Projects I-IV. For example, we hypothesize that we can predict the optimal timing and dosage of anti-lL-6, Ringer's Ethyl Pyruvate solution, and NAD in rodent models of shock/trauma. We will carry out detailed time course studies in mice to validate and calibrate this model and the proposed interventions. In Aim 2, we will adapt the mathematical model of trauma/hemorrhage-induced inflammation to humans and create a platform for integration into individualized clinical decision-making. In a prospective clinical study of 500 trauma patients, we will obtain data on the course of inflammation and organ dysfunction as well as cytokine gene polymorphisms needed for our mathematical model, in addition to clinical data that will be used to construct a series of statistical models. Selected interventions from Aim 1 will be tested in simulated clinical trials. We will also create a platform, based on the mathematical model, for integration into individualized clinical decision-making in shock/trauma. The research proposed herein will impact both basic and translational research on the inflammatory process of shock/trauma.

创伤和出血引起急性炎症反应。这个过程涉及白细胞的迁移和活化、细胞因子的分泌和自由基的产生。这些变化可能导致严重的器官功能障碍和死亡。我们已经开发了一个数学模型，描述了急性炎症介质，并在小鼠进行内毒素血症，手术创伤，失血性休克校准。该模型在人类内毒素血症中进一步校准。虽然通知循环介质，该模型表示的生理紊乱经历的个别器官的全球组织功能障碍方程。炎症数学模型的输出与实验数据之间的密切相关性表明， 是不同休克状态的基础，提高了在体内模拟炎症过程的可能性。我们假设一个经过验证和校准的炎症及其病理后果的数学模型将有助于预测创伤性/失血性休克患者的预后。我们将在两个具体目标中检验这一假设。在目标1中，我们将在啮齿动物中增强我们的数学模型，包括适应性免疫的元素，并模拟治疗干预。我们将修改我们的模型，包括自然杀伤（NK）细胞，NKT细胞，肥大细胞，树突状细胞，和TH 1和TH 2细胞。我们将修改我们如何模拟一氧化氮的反应，检查HMG-B1和透明质酸作为促炎剂的作用， 警报分子，并模拟MAP激酶抑制剂的影响。此外，数学模型将为项目I-IV中提出的假设提供信息，并将由项目I-IV中提出的假设提供信息。为 例如，我们假设我们可以预测在休克/创伤的啮齿动物模型中抗IL-6、林格氏丙酮酸乙酯溶液和NAD的最佳时间和剂量。我们将在小鼠中进行详细的时间过程研究，以验证和校准该模型和拟议的干预措施。在目标2中，我们将使创伤/创伤诱导的炎症的数学模型适用于人类，并创建一个整合到个性化临床决策中的平台。在500例创伤患者的前瞻性临床研究中，除了将用于构建一系列统计模型的临床数据外，我们还将获得关于炎症和器官功能障碍的过程以及我们的数学模型所需的细胞因子基因多态性的数据。目标1中选定的干预措施将在模拟临床试验中进行测试。我们还将创建一个基于数学模型的平台，用于整合到个性化的临床研究中。 休克/创伤中的决策。本文提出的研究将影响休克/创伤炎症过程的基础和转化研究。