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基于数据驱动分析的不同病因危重病中共同涉及的免疫相关基因的鉴定。

Identification of Immune-Related Genes Concurrently Involved in Critical Illnesses Across Different Etiologies: A Data-Driven Analysis.

机构信息

Department of Emergency, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.

Institute of Oncology, The Fifth Medical Centre, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.

出版信息

Front Immunol. 2022 May 9;13:858864. doi: 10.3389/fimmu.2022.858864. eCollection 2022.

DOI:10.3389/fimmu.2022.858864
PMID:35615364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9124755/
Abstract

Severe trauma and sepsis can lead to multiple organ dysfunction syndrome, which is a leading cause of death in intensive care units with mortality rates in excess of 50%. In addition to infection, the degree of immuno-inflammatory response also influences the outcome. The genomic changes observed after a variety of pathophysiological insults, such as trauma, sepsis, burns are similar, and consist of innate immune activation and adaptive immunity suppression. However, the characteristics of the shared mechanisms of aforementioned critical illnesses and the clinical relevance remain less explored. In the present study, we performed a data analysis to identify functional genes concurrently involved in critical illnesses across differing etiologies (trauma and sepsis derived from community-acquired pneumonia/abdominal source) and explored the shared signaling pathways these common genes involved in to gain insight into the underlying molecular mechanisms. A number of immune-related biological functions were found to be dysregulated in both trauma and sepsis in the present study, so we continued to identify immune-related common genes, profiled the immune cell proportion, and explored the relationships between them. The diagnostic and prognostic value of the immune-related common genes was also evaluated to address their potential clinical utilization as novel biomarkers. Notably, we identified a list of 14 immune-related genes concurrently dysregulated in trauma and sepsis showing favorable diagnostic value, among which S100P can predict prognosis of sepsis patients. Moreover, a spectrum of immune cell subsets including naïve B cells, CD8+ T cells, CD4+ memory resting T cells, activated NK cells, resting dendritic cells, plasma cells, Tregs, macrophages M0 and macrophages M1 was found to be concurrently dysregulated in both trauma and sepsis, and a close relation between above identified immune-related genes and immune cell subsets was observed. Our data-driven findings lay a foundation for future research to elucidate the pathophysiology regarding the aspect of inflammatory and immune response in critical illnesses, and suggest future studies focus on interpreting the function roles of the identified immune-related genes, as well as the reactive immune cell subsets.

摘要

严重创伤和脓毒症可导致多器官功能障碍综合征,这是重症监护病房死亡的主要原因,死亡率超过 50%。除感染外,免疫炎症反应的程度也会影响结果。创伤、脓毒症、烧伤等多种病理生理损伤后观察到的基因组变化相似,包括固有免疫激活和适应性免疫抑制。然而,上述危重病共同机制的特征及其临床相关性仍有待进一步探讨。在本研究中,我们进行了数据分析,以确定不同病因(社区获得性肺炎/腹部来源的创伤和脓毒症)的危重病中同时涉及的功能基因,并探讨这些共同基因涉及的共同信号通路,以深入了解潜在的分子机制。本研究发现,创伤和脓毒症中存在多种免疫相关的生物学功能失调,因此我们继续鉴定免疫相关的共同基因,分析免疫细胞比例,并探讨它们之间的关系。还评估了免疫相关共同基因的诊断和预后价值,以探讨它们作为新型生物标志物的潜在临床应用。值得注意的是,我们确定了一组 14 个在创伤和脓毒症中同时失调的免疫相关基因,它们具有良好的诊断价值,其中 S100P 可预测脓毒症患者的预后。此外,在创伤和脓毒症中还发现一系列免疫细胞亚群包括幼稚 B 细胞、CD8+T 细胞、CD4+记忆静息 T 细胞、活化 NK 细胞、静息树突状细胞、浆细胞、Tregs、M0 期和 M1 期巨噬细胞均同时失调,并且观察到上述鉴定的免疫相关基因与免疫细胞亚群之间存在密切关系。我们的数据驱动发现为未来研究奠定了基础,以阐明危重病中炎症和免疫反应方面的病理生理学,并建议未来的研究集中在解释鉴定的免疫相关基因以及反应性免疫细胞亚群的功能作用上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/9fa925849014/fimmu-13-858864-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/25e534f0fd0b/fimmu-13-858864-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/6ad41372053c/fimmu-13-858864-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/1826920c8917/fimmu-13-858864-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/9fa925849014/fimmu-13-858864-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/25e534f0fd0b/fimmu-13-858864-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/6ad41372053c/fimmu-13-858864-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/1826920c8917/fimmu-13-858864-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9124755/9fa925849014/fimmu-13-858864-g004.jpg

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