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社区获得性肺炎血转录组中脓毒症的印记

Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome.

作者信息

Hopp Lydia, Loeffler-Wirth Henry, Nersisyan Lilit, Arakelyan Arsen, Binder Hans

机构信息

Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Leipzig, Germany.

Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia.

出版信息

Front Immunol. 2018 Jul 17;9:1620. doi: 10.3389/fimmu.2018.01620. eCollection 2018.

Abstract

We analyzed the blood transcriptome of sepsis framed within community-acquired pneumonia (CAP) and characterized its molecular and cellular heterogeneity in terms of functional modules of co-regulated genes with impact for the underlying pathophysiological mechanisms. Our results showed that CAP severity is associated with immune suppression owing to T-cell exhaustion and HLA and chemokine receptor deactivation, endotoxin tolerance, macrophage polarization, and metabolic conversion from oxidative phosphorylation to glycolysis. We also found footprints of host's response to viruses and bacteria, altered levels of mRNA from erythrocytes and platelets indicating coagulopathy that parallel severity of sepsis and survival. Finally, our data demonstrated chromatin re-modeling associated with extensive transcriptional deregulation of chromatin modifying enzymes, which suggests the extensive changes of DNA methylation with potential impact for marker selection and functional characterization. Based on the molecular footprints identified, we propose a novel stratification of CAP cases into six groups differing in the transcriptomic scores of CAP severity, interferon response, and erythrocyte mRNA expression with impact for prognosis. Our analysis increases the resolution of transcriptomic footprints of CAP and reveals opportunities for selecting sets of transcriptomic markers with impact for translation of omics research in terms of patient stratification schemes and sets of signature genes.

摘要

我们分析了社区获得性肺炎(CAP)范围内脓毒症的血液转录组,并根据共同调控基因的功能模块对其分子和细胞异质性进行了表征,这些功能模块对潜在的病理生理机制具有影响。我们的结果表明,CAP的严重程度与免疫抑制有关,这是由于T细胞耗竭、HLA和趋化因子受体失活、内毒素耐受、巨噬细胞极化以及从氧化磷酸化到糖酵解的代谢转换所致。我们还发现了宿主对病毒和细菌反应的痕迹,红细胞和血小板mRNA水平的改变表明存在凝血病,这与脓毒症的严重程度和生存率平行。最后,我们的数据表明染色质重塑与染色质修饰酶的广泛转录失调有关,这表明DNA甲基化发生了广泛变化,对标记物选择和功能表征可能产生影响。基于所确定的分子痕迹,我们提出将CAP病例分为六组,这六组在CAP严重程度、干扰素反应和红细胞mRNA表达的转录组评分方面存在差异,对预后有影响。我们的分析提高了CAP转录组痕迹的分辨率,并揭示了在患者分层方案和特征基因集方面选择对组学研究转化有影响的转录组标记集的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4136/6056630/c3b3a897ed60/fimmu-09-01620-g001.jpg

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