Department of Anesthesiology and Surgical Intensive Care Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.
Medical Research Center, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.
Int J Mol Sci. 2019 May 9;20(9):2290. doi: 10.3390/ijms20092290.
Timely and reliable distinction of sepsis from non-infectious systemic inflammatory response syndrome (SIRS) supports adequate antimicrobial therapy and saves lives but is clinically challenging. Blood transcriptional profiling promises to deliver insights into the pathomechanisms of SIRS and sepsis and to accelerate the discovery of urgently sought sepsis biomarkers. However, suitable reference genes for normalizing gene expression in these disease conditions are lacking. In addition, variability in blood leukocyte subtype composition complicates gene profile interpretation. Here, we aimed to identify potential reference genes in natural killer (NK) cells and granulocytes from patients with SIRS and sepsis on intensive care unit (ICU) admission. Discovery by a two-step probabilistic selection from microarray data followed by validation through branched DNA assays in independent patients revealed several candidate reference genes in NK cells including , , , and . Initially, no candidate genes could be validated in patient granulocytes. However, we determined highly similar expression also in SIRS and sepsis granulocytes and no change by in vitro LPS challenge in granulocytes from healthy donors. Inspection of external neutrophil transcriptome datasets further support unchanged expression in human systemic inflammation. As a potential new reference gene in NK cells and granulocytes in infectious and inflammatory diseases, may improve our pathomechanistic understanding of SIRS and sepsis and help identifying new sepsis biomarkers.
及时可靠地区分脓毒症与非感染性全身炎症反应综合征(SIRS)有助于提供适当的抗菌治疗并拯救生命,但临床上具有挑战性。血液转录谱分析有望深入了解 SIRS 和脓毒症的发病机制,并加速寻找急需的脓毒症生物标志物。然而,这些疾病状态下用于基因表达标准化的合适参考基因仍然缺乏。此外,血液白细胞亚型组成的变异性使基因谱解释变得复杂。在这里,我们旨在确定入住 ICU 的 SIRS 和脓毒症患者 NK 细胞和粒细胞中潜在的参考基因。通过两步概率选择从微阵列数据中发现,然后通过独立患者的分枝 DNA 检测进行验证,揭示了 NK 细胞中几个候选参考基因,包括 、 、 和 。最初,在患者的粒细胞中无法验证候选基因。然而,我们确定了在 SIRS 和脓毒症粒细胞中也存在高度相似的 表达,并且在来自健康供体的粒细胞中体外 LPS 刺激不会改变 表达。对外部中性粒细胞转录组数据集的检查进一步支持人类全身炎症中不变的 表达。作为感染和炎症性疾病中 NK 细胞和粒细胞的潜在新参考基因, 可能会改善我们对 SIRS 和脓毒症发病机制的理解,并有助于识别新的脓毒症生物标志物。