Patient stratification using plasma cytokines and their regulators in sepsis: relationship to outcomes, treatment effect and leucocyte transcriptomic subphenotypes.

IF 9 1区 医学 Q1 RESPIRATORY SYSTEM
Thorax Pub Date : 2024-05-20 DOI:10.1136/thorax-2023-220538
David Benjamin Antcliffe, Yuxin Mi, Shalini Santhakumaran, Katie L Burnham, A Toby Prevost, Josie K Ward, Timothy J Marshall, Claire Bradley, Farah Al-Beidh, Paula Hutton, Stuart McKechnie, Emma E Davenport, Charles J Hinds, Cecilia M O'Kane, Daniel Francis McAuley, Manu Shankar-Hari, Anthony C Gordon, Julian C Knight
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引用次数: 0

Abstract

Rationale: Heterogeneity of the host response within sepsis, acute respiratory distress syndrome (ARDS) and more widely critical illness, limits discovery and targeting of immunomodulatory therapies. Clustering approaches using clinical and circulating biomarkers have defined hyper-inflammatory and hypo-inflammatory subphenotypes in ARDS associated with differential treatment response. It is unknown if similar subphenotypes exist in sepsis populations where leucocyte transcriptomic-defined subphenotypes have been reported.

Objectives: We investigated whether inflammatory clusters based on cytokine protein abundance were seen in sepsis, and the relationships with previously described transcriptomic subphenotypes.

Methods: Hierarchical cluster and latent class analysis were applied to an observational study (UK Genomic Advances in Sepsis (GAinS)) (n=124 patients) and two clinical trial datasets (VANISH, n=155 and LeoPARDS, n=484) in which the plasma protein abundance of 65, 21, 11 circulating cytokines, cytokine receptors and regulators were quantified. Clinical features, outcomes, response to trial treatments and assignment to transcriptomic subphenotypes were compared between inflammatory clusters.

Measurements and main results: We identified two (UK GAinS, VANISH) or three (LeoPARDS) inflammatory clusters. A group with high levels of pro-inflammatory and anti-inflammatory cytokines was seen that was associated with worse organ dysfunction and survival. No interaction between inflammatory clusters and trial treatment response was found. We found variable overlap of inflammatory clusters and leucocyte transcriptomic subphenotypes.

Conclusions: These findings demonstrate that differences in response at the level of cytokine biology show clustering related to severity, but not treatment response, and may provide complementary information to transcriptomic sepsis subphenotypes.

Trial registration number: ISRCTN20769191, ISRCTN12776039.

利用脓毒症患者血浆细胞因子及其调节因子对患者进行分层:与预后、治疗效果和白细胞转录组亚表型的关系。
理由:脓毒症、急性呼吸窘迫综合征(ARDS)以及更广泛的危重病中宿主反应的异质性限制了免疫调节疗法的发现和定位。利用临床和循环生物标记物的聚类方法已经定义了与不同治疗反应相关的 ARDS 高炎症和低炎症亚型。脓毒症人群中是否存在类似的亚型尚不清楚,在脓毒症人群中已报道了白细胞转录组定义的亚型:我们研究了脓毒症中是否存在基于细胞因子蛋白丰度的炎症集群,以及与之前描述的转录组亚表型之间的关系。方法:对一项观察性研究(英国脓毒症基因组学进展(GAinS))(n=124 例患者)和两个临床试验数据集(VANISH,n=155 例和 LeoPARDS,n=484 例)应用了层次聚类和潜类分析法,其中对 65、21、11 种循环细胞因子、细胞因子受体和调节因子的血浆蛋白丰度进行了量化。比较了不同炎症群组的临床特征、预后、对试验治疗的反应以及转录组亚表型:我们确定了两个(UK GAinS、VANISH)或三个(LeoPARDS)炎症集群。其中一个组具有较高水平的促炎和抗炎细胞因子,与较差的器官功能障碍和存活率有关。炎症群组与试验治疗反应之间没有相互作用。我们发现炎症集群与白细胞转录组亚表型存在不同程度的重叠:这些研究结果表明,细胞因子生物学水平上的反应差异显示出与严重程度相关的集群,但与治疗反应无关,并且可能为转录组脓毒症亚型提供补充信息。
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来源期刊
Thorax
Thorax 医学-呼吸系统
CiteScore
16.10
自引率
2.00%
发文量
197
审稿时长
1 months
期刊介绍: Thorax stands as one of the premier respiratory medicine journals globally, featuring clinical and experimental research articles spanning respiratory medicine, pediatrics, immunology, pharmacology, pathology, and surgery. The journal's mission is to publish noteworthy advancements in scientific understanding that are poised to influence clinical practice significantly. This encompasses articles delving into basic and translational mechanisms applicable to clinical material, covering areas such as cell and molecular biology, genetics, epidemiology, and immunology.
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