Acute respiratory distress syndrome heterogeneity and the septic ARDS subgroup

Front Immunol. 2023 Nov 14:14:1277161. doi: 10.3389/fimmu.2023.1277161. eCollection 2023.

Abstract

Acute respiratory distress syndrome (ARDS) is an acute diffuse inflammatory lung injury characterized by the damage of alveolar epithelial cells and pulmonary capillary endothelial cells. It is mainly manifested by non-cardiogenic pulmonary edema, resulting from intrapulmonary and extrapulmonary risk factors. ARDS is often accompanied by immune system disturbance, both locally in the lungs and systemically. As a common heterogeneous disease in critical care medicine, researchers are often faced with the failure of clinical trials. Latent class analysis had been used to compensate for poor outcomes and found that targeted treatment after subgrouping contribute to ARDS therapy. The subphenotype of ARDS caused by sepsis has garnered attention due to its refractory nature and detrimental consequences. Sepsis stands as the most predominant extrapulmonary cause of ARDS, accounting for approximately 32% of ARDS cases. Studies indicate that sepsis-induced ARDS tends to be more severe than ARDS caused by other factors, leading to poorer prognosis and higher mortality rate. This comprehensive review delves into the immunological mechanisms of sepsis-ARDS, the heterogeneity of ARDS and existing research on targeted treatments, aiming to providing mechanism understanding and exploring ideas for accurate treatment of ARDS or sepsis-ARDS.

Keywords: acute respiratory distress syndrome (ARDS); heterogeneity; immune system; precision therapy; sepsis.

Publication types

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

MeSH terms

  • Endothelial Cells
  • Humans
  • Lung
  • Pulmonary Edema*
  • Respiratory Distress Syndrome* / etiology
  • Respiratory Distress Syndrome* / therapy
  • Sepsis* / drug therapy

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the National Key Research and Development Program of China, Grant No. 2021YFC2501800 (to ZZ) and the National Natural Science Foundation of China, Grant No. 82272182, 82072202 (to ZZ).