Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Pittsburgh Trauma Research Center, Division of Trauma and Acute Care Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Antioxid Redox Signal. 2021 Dec;35(16):1393-1406. doi: 10.1089/ars.2021.0054. Epub 2021 May 19.
The immunoinflammatory responses that follow trauma contribute to clinical trajectory and patient outcomes. While remarkable advances have been made in trauma services and injury management, clarity on how the immune system in humans responds to trauma is lagging. Multiplexing platforms have transformed our ability to analyze comprehensive immune mediator responses in human trauma. In parallel, with the establishment of large data sets, computational methods have been adapted to yield new insights based on mediator patterns. These efforts have added an important data layer to the emerging multiomic characterization of the human response to injury. Outcome after trauma is greatly affected by the host immunoinflammatory response. Excessive or sustained responses can contribute to organ damage. Hence, understanding the pathophysiology behind traumatic injury is of vital importance. This review summarizes our work in the study of circulating immune mediators in trauma patients. Our foundational studies into dynamic patterns of inflammatory mediators represent an important contribution to the concepts and computational challenges that these large data sets present. We hope to see further integration and understanding of multiomics strategies in the field of trauma that can aid in patient endotyping and in potentially identifiying certain therapeutic targets in the future. 35, 1393-1406.
创伤后的免疫炎症反应会影响临床病程和患者结局。虽然创伤服务和损伤管理已取得显著进展,但人们对人类免疫系统如何对创伤做出反应仍了解有限。多重分析平台改变了我们分析人类创伤中全面免疫介质反应的能力。与此同时,随着大型数据集的建立,计算方法也进行了调整,以便根据介质模式得出新的见解。这些努力为损伤后人类反应的新兴多组学特征分析增加了一个重要的数据层。创伤后的结局受宿主免疫炎症反应的影响很大。过度或持续的反应会导致器官损伤。因此,了解创伤背后的病理生理学至关重要。本综述总结了我们在创伤患者循环免疫介质研究方面的工作。我们对炎症介质动态模式的基础研究是对这些大数据集提出的概念和计算挑战的重要贡献。我们希望在创伤领域看到多组学策略的进一步整合和理解,这有助于对患者进行表型分型,并有可能在未来确定某些治疗靶点。 35, 1393-1406.