The implication of targeting PD-1:PD-L1 pathway in treating sepsis through immunostimulatory and anti-inflammatory pathways

Front Immunol. 2023 Dec 13:14:1323797. doi: 10.3389/fimmu.2023.1323797. eCollection 2023.

Abstract

Sepsis currently remains a major contributor to mortality in the intensive care unit (ICU), with 48.9 million cases reported globally and a mortality rate of 22.5% in 2017, accounting for almost 20% of all-cause mortality worldwide. This highlights the urgent need to improve the understanding and treatment of this condition. Sepsis is now recognized as a dysregulation of the host immune response to infection, characterized by an excessive inflammatory response and immune paralysis. This dysregulation leads to secondary infections, multiple organ dysfunction syndrome (MODS), and ultimately death. PD-L1, a co-inhibitory molecule expressed in immune cells, has emerged as a critical factor in sepsis. Numerous studies have found a significant association between the expression of PD-1/PD-L1 and sepsis, with a particular focus on PD-L1 expressed on neutrophils recently. This review explores the role of PD-1/PD-L1 in immunostimulatory and anti-inflammatory pathways, illustrates the intricate link between PD-1/PD-L1 and sepsis, and summarizes current therapeutic approaches against PD-1/PD-L1 in the treatment and prognosis of sepsis in preclinical and clinical studies.

Keywords: PD-1/PD-L1; immune homeostasis; immunoparalysis; organ damage; sepsis; treatment.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anti-Inflammatory Agents / therapeutic use
  • B7-H1 Antigen
  • Humans
  • Immunization
  • Programmed Cell Death 1 Receptor*
  • Sepsis* / drug therapy

Substances

  • Programmed Cell Death 1 Receptor
  • B7-H1 Antigen
  • Anti-Inflammatory Agents

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (82072147, 82272214); the Sci-Tech Innovation 2030 Brain Science and Brain-Like Intelligence Technology Project (2022ZD0208100); and Shanghai Rising-Star Program (21QA1411800).