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创伤超急性期炎症及即将发生的多器官功能障碍的特征:一项前瞻性队列研究。

Signatures of inflammation and impending multiple organ dysfunction in the hyperacute phase of trauma: A prospective cohort study.

作者信息

Cabrera Claudia P, Manson Joanna, Shepherd Joanna M, Torrance Hew D, Watson David, Longhi M Paula, Hoti Mimoza, Patel Minal B, O'Dwyer Michael, Nourshargh Sussan, Pennington Daniel J, Barnes Michael R, Brohi Karim

机构信息

Centre for Translational Bioinformatics, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.

Centre for Trauma Sciences, The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.

出版信息

PLoS Med. 2017 Jul 17;14(7):e1002352. doi: 10.1371/journal.pmed.1002352. eCollection 2017 Jul.

DOI:10.1371/journal.pmed.1002352
PMID:28715416
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5513400/
Abstract

BACKGROUND

Severe trauma induces a widespread response of the immune system. This "genomic storm" can lead to poor outcomes, including Multiple Organ Dysfunction Syndrome (MODS). MODS carries a high mortality and morbidity rate and adversely affects long-term health outcomes. Contemporary management of MODS is entirely supportive, and no specific therapeutics have been shown to be effective in reducing incidence or severity. The pathogenesis of MODS remains unclear, and several models are proposed, such as excessive inflammation, a second-hit insult, or an imbalance between pro- and anti-inflammatory pathways. We postulated that the hyperacute window after trauma may hold the key to understanding how the genomic storm is initiated and may lead to a new understanding of the pathogenesis of MODS.

METHODS AND FINDINGS

We performed whole blood transcriptome and flow cytometry analyses on a total of 70 critically injured patients (Injury Severity Score [ISS] ≥ 25) at The Royal London Hospital in the hyperacute time period within 2 hours of injury. We compared transcriptome findings in 36 critically injured patients with those of 6 patients with minor injuries (ISS ≤ 4). We then performed flow cytometry analyses in 34 critically injured patients and compared findings with those of 9 healthy volunteers. Immediately after injury, only 1,239 gene transcripts (4%) were differentially expressed in critically injured patients. By 24 hours after injury, 6,294 transcripts (21%) were differentially expressed compared to the hyperacute window. Only 202 (16%) genes differentially expressed in the hyperacute window were still expressed in the same direction at 24 hours postinjury. Pathway analysis showed principally up-regulation of pattern recognition and innate inflammatory pathways, with down-regulation of adaptive responses. Immune deconvolution, flow cytometry, and modular analysis suggested a central role for neutrophils and Natural Killer (NK) cells, with underexpression of T- and B cell responses. In the transcriptome cohort, 20 critically injured patients later developed MODS. Compared with the 16 patients who did not develop MODS (NoMODS), maximal differential expression was seen within the hyperacute window. In MODS versus NoMODS, 363 genes were differentially expressed on admission, compared to only 33 at 24 hours postinjury. MODS transcripts differentially expressed in the hyperacute window showed enrichment among diseases and biological functions associated with cell survival and organismal death rather than inflammatory pathways. There was differential up-regulation of NK cell signalling pathways and markers in patients who would later develop MODS, with down-regulation of neutrophil deconvolution markers. This study is limited by its sample size, precluding more detailed analyses of drivers of the hyperacute response and different MODS phenotypes, and requires validation in other critically injured cohorts.

CONCLUSIONS

In this study, we showed how the hyperacute postinjury time window contained a focused, specific signature of the response to critical injury that led to widespread genomic activation. A transcriptomic signature for later development of MODS was present in this hyperacute window; it showed a strong signal for cell death and survival pathways and implicated NK cells and neutrophil populations in this differential response.

摘要

背景

严重创伤会引发免疫系统的广泛反应。这种“基因组风暴”可能导致不良后果,包括多器官功能障碍综合征(MODS)。MODS的死亡率和发病率很高,并对长期健康结果产生不利影响。目前对MODS的治疗完全是支持性的,尚无特定疗法被证明能有效降低其发生率或严重程度。MODS的发病机制仍不清楚,人们提出了几种模型,如过度炎症、二次打击或促炎与抗炎途径之间的失衡。我们推测创伤后的超急性期可能是理解基因组风暴如何启动的关键,并可能带来对MODS发病机制的新认识。

方法与结果

我们在伦敦皇家医院对70例重伤患者(损伤严重度评分[ISS]≥25)在受伤后2小时内的超急性期进行了全血转录组和流式细胞术分析。我们将36例重伤患者的转录组结果与6例轻伤患者(ISS≤4)的结果进行了比较。然后我们对34例重伤患者进行了流式细胞术分析,并将结果与9名健康志愿者的结果进行了比较。受伤后立即,重伤患者中只有1239个基因转录本(4%)存在差异表达。与超急性期相比,受伤后24小时有6294个转录本(21%)存在差异表达。在超急性期差异表达的202个(16%)基因在受伤后24小时仍沿相同方向表达。通路分析显示主要是模式识别和先天性炎症通路的上调,以及适应性反应的下调。免疫反卷积、流式细胞术和模块分析表明中性粒细胞和自然杀伤(NK)细胞起核心作用,而T细胞和B细胞反应表达不足。在转录组队列中,20例重伤患者后来发展为MODS。与16例未发展为MODS(非MODS)的患者相比,最大差异表达出现在超急性期。在MODS与非MODS患者中,入院时363个基因存在差异表达,而受伤后24小时只有33个。在超急性期差异表达的MODS转录本在与细胞存活和机体死亡相关的疾病和生物学功能中富集,而非炎症通路。后来发展为MODS的患者中NK细胞信号通路和标志物存在差异上调,而中性粒细胞反卷积标志物下调。本研究受样本量限制,无法更详细地分析超急性反应的驱动因素和不同的MODS表型,需要在其他重伤队列中进行验证。

结论

在本研究中,我们展示了受伤后的超急性期如何包含对严重损伤反应的集中、特定特征,从而导致广泛的基因组激活。这个超急性期存在后来发展为MODS的转录组特征;它显示了细胞死亡和存活通路的强烈信号,并表明NK细胞和中性粒细胞群体参与了这种差异反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/634b/5513400/88a29ffd99eb/pmed.1002352.g007.jpg
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