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Peripheral PD-1+NK cells could predict the 28-day mortality in sepsis patients.

Jia Tang | Chenming Shang | Yue Chang | Wei Jiang | Jun Xu | Leidan Zhang | Lianfeng Lu | Ling Chen | Xiaosheng Liu | Qingjia Zeng | Wei Cao | Taisheng Li
Frontiers in immunology | 2024

Unbalanced inflammatory response is a critical feature of sepsis, a life-threatening condition with significant global health burdens. Immune dysfunction, particularly that involving different immune cells in peripheral blood, plays a crucial pathophysiological role and shows early warning signs in sepsis. The objective is to explore the relationship between sepsis and immune subpopulations in peripheral blood, and to identify patients with a higher risk of 28-day mortality based on immunological subtypes with machine-learning (ML) model.

Pubmed ID: 38953031

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This is a list of tools and resources that we have found mentioned in this publication.


R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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scikit-learn (tool)

RRID:SCR_002577

scikit-learn: machine learning in Python

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FlowJo (tool)

RRID:SCR_008520

Software for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.

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BD Biosciences (tool)

RRID:SCR_013311

An Antibody supplier

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