Monocyte state 1 (MS1) cells in critically ill patients with sepsis or non-infectious conditions: association with disease course and host response

被引:6
作者
Leite, Giuseppe G. F. [1 ,2 ]
de Brabander, Justin [1 ]
Michels, Erik H. A. [1 ]
Butler, Joe M. [1 ]
Cremer, Olaf L. [3 ]
Scicluna, Brendon P. [1 ,4 ,5 ]
Sweeney, Timothy E. [6 ]
Reyes, Miguel [7 ]
Salomao, Reinaldo [2 ]
Peters-Sengers, Hessel [1 ,8 ]
van der Poll, Tom [1 ,9 ]
机构
[1] Locat Univ Amsterdam, Ctr Expt & Mol Med CEMM, Amsterdam UMC, Meibergdreef 9, NL-1105 AZ Amsterdam, Netherlands
[2] Univ Fed Sao Paulo, Escola Paulista Med, Dept Med, Div Infect Dis, Sao Paulo, Brazil
[3] Univ Utrecht, UMC Utrecht, Dept Intens Care Med, Utrecht, Netherlands
[4] Univ Malta, Mater Dei Hosp, Dept Appl Biomed Sci, Fac Hlth Sci, Msida, Malta
[5] Univ Malta, Ctr Mol Med & Biobanking, Msida, Malta
[6] Inflammatix Inc, Sunnyvale, CA USA
[7] Genentech Inc, Dept Infect Dis, South San Francisco, CA USA
[8] Locat Vrije Univ, Dept Epidemiol & Data Sci, Amsterdam UMC, Amsterdam, Netherlands
[9] Locat Univ Amsterdam, Div Infect Dis, Amsterdam UMC, Amsterdam, Netherlands
关键词
Myeloid-derived suppressor cells; Shock; Hyperinflammation and immune suppression; INFECTIONS;
D O I
10.1186/s13054-024-04868-5
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
BackgroundSepsis is a life-threatening condition arising from an aberrant host response to infection. Recent single-cell RNA sequencing investigations identified an immature bone-marrow-derived CD14+ monocyte phenotype with immune suppressive properties termed "monocyte state 1" (MS1) in patients with sepsis. Our objective was to determine the association of MS1 cell profiles with disease presentation, outcomes, and host response characteristics.MethodsWe used the transcriptome deconvolution method (CIBERSORTx) to estimate the percentage of MS1 cells from blood RNA profiles of patients with sepsis admitted to the intensive care unit (ICU). We compared these profiles to ICU patients without infection and to healthy controls. Host response dysregulation was further studied by gene co-expression network and gene set enrichment analyses of blood leukocytes, and measurement of 15 plasma biomarkers indicative of pathways implicated in sepsis pathogenesis.ResultsSepsis patients (n = 332) were divided into three equally-sized groups based on their MS1 cell levels (low, intermediate, and high). MS1 groups did not differ in demographics or comorbidities. The intermediate and high MS1 groups presented with higher disease severity and more often had shock. MS1 cell abundance did not differ between survivors and non-survivors, or between patients who did or did not acquire a secondary infection. Higher MS1 cell percentages were associated with downregulation of lymphocyte-related and interferon response genes in blood leukocytes, with concurrent upregulation of inflammatory response pathways, including tumor necrosis factor signaling via nuclear factor-kappa B. Previously described sepsis host response transcriptomic subtypes showed different MS1 cell abundances, and MS1 cell percentages positively correlated with the "quantitative sepsis response signature" and "molecular degree of perturbation" scores. Plasma biomarker levels, indicative of inflammation, endothelial cell activation, and coagulation activation, were largely similar between MS1 groups. In ICU patients without infection (n = 215), MS1 cell percentages and their relation with disease severity, shock, and host response dysregulation were highly similar to those in sepsis patients.ConclusionsHigh MS1 cell percentages are associated with increased disease severity and shock in critically ill patients with sepsis or a non-infectious condition. High MS1 cell abundance likely indicates broad immune dysregulation, entailing not only immunosuppression but also anomalies reflecting exaggerated inflammatory responses.
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