Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Cellular and Molecular Pathology program, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
JCI Insight. 2021 Jan 25;6(2):145108. doi: 10.1172/jci.insight.145108.
Immune dysfunction is an important factor driving mortality and adverse outcomes after trauma but remains poorly understood, especially at the cellular level. To deconvolute the trauma-induced immune response, we applied single-cell RNA sequencing to circulating and bone marrow mononuclear cells in injured mice and circulating mononuclear cells in trauma patients. In mice, the greatest changes in gene expression were seen in monocytes across both compartments. After systemic injury, the gene expression pattern of monocytes markedly deviated from steady state with corresponding changes in critical transcription factors, which can be traced back to myeloid progenitors. These changes were largely recapitulated in the human single-cell analysis. We generalized the major changes in human CD14+ monocytes into 6 signatures, which further defined 2 trauma patient subtypes (SG1 vs. SG2) identified in the whole-blood leukocyte transcriptome in the initial 12 hours after injury. Compared with SG2, SG1 patients exhibited delayed recovery, more severe organ dysfunction, and a higher incidence of infection and noninfectious complications. The 2 patient subtypes were also recapitulated in burn and sepsis patients, revealing a shared pattern of immune response across critical illness. Our data will be broadly useful to further explore the immune response to inflammatory diseases and critical illness.
免疫功能障碍是导致创伤后死亡和不良结局的一个重要因素,但目前仍知之甚少,尤其是在细胞水平上。为了剖析创伤引起的免疫反应,我们应用单细胞 RNA 测序技术分析了受伤小鼠的循环和骨髓单核细胞以及创伤患者的循环单核细胞。在小鼠中,两个部位的单核细胞的基因表达变化最大。全身损伤后,单核细胞的基因表达模式明显偏离稳态,关键转录因子也发生相应变化,这些变化可以追溯到髓系祖细胞。在人类单细胞分析中也很大程度上再现了这些变化。我们将人类 CD14+单核细胞的主要变化概括为 6 个特征,这些特征进一步将全血白细胞转录组在损伤后 12 小时内鉴定的 2 个创伤患者亚型(SG1 和 SG2)定义为特征。与 SG2 相比,SG1 患者的恢复延迟,器官功能障碍更严重,感染和非感染性并发症的发生率更高。在烧伤和脓毒症患者中也再现了这两种患者亚型,揭示了严重疾病中免疫反应的共同模式。我们的数据将广泛用于进一步探索炎症性疾病和严重疾病的免疫反应。