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两种新型中性粒细胞亚群定义了具有鉴别意义的脓毒症特征。

Two New Neutrophil Subsets Define a Discriminating Sepsis Signature.

机构信息

Sorbonne Université-Institut National de la Santé et de la Recherche Médicale-Centre National de la Recherche Scientifique, Centre d'Immunologie et des Maladies Infectieuses, Paris, France.

Dispositif Minimum d'Urgence Parabol, Fédération Hospitalo-Universitaire Promice, Service d'Anesthésie et de Soins Intensifs, Centre Hospitalier Universitaire Lariboisière, Assistance Publique-Hôpitaux de Paris, Paris, France.

出版信息

Am J Respir Crit Care Med. 2022 Jan 1;205(1):46-59. doi: 10.1164/rccm.202104-1027OC.

Abstract

Sepsis is the leading cause of death in adult ICUs. At present, sepsis diagnosis relies on nonspecific clinical features. It could transform clinical care to have immune-cell biomarkers that could predict sepsis diagnosis and guide treatment. For decades, neutrophil phenotypes have been studied in sepsis, but a diagnostic cell subset has yet to be identified. To identify an early, specific immune signature of sepsis severity that does not overlap with other inflammatory biomarkers and that distinguishes patients with sepsis from those with noninfectious inflammatory syndrome. Mass cytometry combined with computational high-dimensional data analysis was used to measure 42 markers on whole-blood immune cells from patients with sepsis and control subjects and to automatically and comprehensively characterize circulating immune cells, which enables identification of novel, disease-specific cellular signatures. Unsupervised analysis of high-dimensional mass cytometry data characterized previously unappreciated heterogeneity within the CD64 immature neutrophils and revealed two new subsets distinguished by CD123 and PD-L1 (programmed death ligand 1) expression. These immature neutrophils exhibited diminished activation and phagocytosis functions. The proportion of CD123-expressing neutrophils correlated with clinical severity. This study showed that these two new neutrophil subsets were specific to sepsis and detectable through routine flow cytometry by using seven markers. The demonstration here that a simple blood test distinguishes sepsis from other inflammatory conditions represents a key biological milestone that can be immediately translated into improvements in patient care.

摘要

脓毒症是成人 ICU 中死亡的主要原因。目前,脓毒症的诊断依赖于非特异性的临床特征。如果能够有预测脓毒症诊断和指导治疗的免疫细胞生物标志物,将可能改变临床治疗方式。几十年来,人们一直在研究脓毒症中的中性粒细胞表型,但尚未确定诊断性的细胞亚群。

本研究旨在确定一种早期、特异性的脓毒症严重程度免疫特征,该特征与其他炎症生物标志物不重叠,并且能够将脓毒症患者与非感染性炎症综合征患者区分开来。

本研究使用液质联用技术和计算高维数据分析方法,检测了脓毒症患者和对照者全血免疫细胞上的 42 个标志物,并自动全面地描述了循环免疫细胞,从而能够识别新的、特定于疾病的细胞特征。

对高维液质联用数据的无监督分析,描述了 CD64 幼稚中性粒细胞内以前未被重视的异质性,并揭示了两个新的亚群,分别由 CD123 和 PD-L1(程序性死亡配体 1)表达来区分。这些幼稚中性粒细胞表现出激活和吞噬功能减弱。表达 CD123 的中性粒细胞比例与临床严重程度相关。

本研究表明,这两个新的中性粒细胞亚群是脓毒症所特有的,并且可以通过常规流式细胞术检测到七个标志物。本研究证明,通过简单的血液检测就可以区分脓毒症和其他炎症状态,这是一个关键的生物学里程碑,可以立即转化为改善患者治疗的方法。

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