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Expression of Exhaustion Markers on CD8+ T-Cell Patterns Predict Outcomes in Septic Patients Admitted to the ICU*

医学 离子霉素 细胞因子 败血症 CD8型 肿瘤坏死因子α 白细胞介素2受体 免疫学 免疫疗法 T细胞 免疫系统 内科学 刺激
作者
Damien Guinault,Marie-Laure Nicolau-Travers,Stein Silva,Olivier Cointault,Barnabé Daniau,Arnaud Del Bello,Michaël Pérès,David Rousset,Julie Rieunier,Laurence Lavayssière,Marie‐Béatrice Nogier,Edith Hourcastagnou,Arnaud Mari,Nassim Kamar,François Vergez,Stanislas Faguer
出处
期刊:Critical Care Medicine [Lippincott Williams & Wilkins]
卷期号:49 (9): 1513-1523 被引量:22
标识
DOI:10.1097/ccm.0000000000005047
摘要

RATIONALE: There is an unmet need to improve the description of the state of T-cell exhaustion in patients with sepsis, its reproducibility and correlation with the outcomes before including immunotherapy (like recombinant interleukin-7 or immune checkpoint inhibitors) in the therapeutic armamentarium against sepsis. DESIGN: Observational prospective study. SETTING: Two ICUs in a teaching hospital (France). PATIENTS: Eighty patients with sepsis admitted to the ICU. INTERVENTIONS: Quantification of CD4 + and CD8 + T-cell exhaustion at days 1 and 3. Quantification of the exhaustion markers (programmed death [PD]-1, 2B4, and cluster of differentiation [CD] 160) on T cells, the number of CD4 + regulatory T cells (CD3 + CD4 + CD25 hi CD127Lo cells), and the phorbol myristate acetate/ionomycin/ionomycin-induced cytokines production (tumor necrosis factor-α, interleukin-2, and interferon-γ). MEASUREMENTS AND MAIN RESULTS: Using unsupervised clustering analysis, patients could be split in three clusters according to their dominant pattern expression of exhaustion markers on CD8 + T cells (i.e., 2B4 low PD-1 low CD160 low , 2B4 hi PD-1 hi CD160 low , and 2B4 hi PD-1 low CD160 hi ) regardless of their underlying morbidities. Only 2B4 hi PD-1 hi CD160 low CD8+ T cells had cytokine production defect, whereas 2B4 hi PD-1 low CD160 hi pattern correlated with cytokine overproduction. Patients with a predominant “highly activated” 2B4 hi PD-1 low CD160 hi pattern did not develop secondary bacterial infections. By multivariate analysis, Simplified Acute Physiology Score 2 gravity score at day 1 ( p = 0.003) and patterns of exhaustion markers on CD8 + T cells ( p = 0.03) were associated with the risk of death. Neither the level of CD4 + regulatory T cells nor the CD4 + exhaustion patterns were associated with the outcomes. CONCLUSIONS: Easy-to-use multicolor flow cytometry assessing 2B4, PD-1, and CD160 expression on CD8 + T cells at day 1 identifies septic patients with poor outcome and discriminates patient subsets in who immunomodulatory drugs should be tested.
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