Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Mie, Japan.
Front Immunol. 2021 Feb 17;11:624279. doi: 10.3389/fimmu.2020.624279. eCollection 2020.
Sepsis remains a major problem for human health worldwide, thereby manifesting high rates of morbidity and mortality. Sepsis, once understood as a monophasic sustained hyperinflammation, is currently recognized as a dysregulated host response to infection, with both hyperinflammation and immunoparalysis occurring simultaneously from the earliest stages of sepsis, involving multiple organ dysfunctions. Despite the recent progress in the understanding of the pathophysiology underlying sepsis, no specific treatment to restore immune dysregulation in sepsis has been validated in clinical trials. In recent years, treatment for immune checkpoints such as the programmed cell death protein 1/programmed death ligand (PD-1/PD-L) pathway in tumor-infiltrating T-lymphocytes has been successful in the field of cancer immune therapy. As immune-paralysis in sepsis involves exhausted T-lymphocytes, future clinical applications of checkpoint inhibitors for sepsis are expected. In addition, the functions of PD-1/PD-L on innate lymphoid cells and the role of exosomal forms of PD-L1 warrant further research. Looking back on the history of repeatedly failed clinical trials of immune modulatory therapies for sepsis, sepsis must be recognized as a difficult disease entity for performing clinical trials. A major obstacle that could prevent effective clinical trials of drug candidates is the disease complexity and heterogeneities; clinically diagnosed sepsis could contain multiple sepsis subgroups that suffer different levels of hyper-inflammation and immune-suppression in distinct organs. Thus, the selection of appropriate more homogenous sepsis subgroup is the key for testing the clinical efficacy of experimental therapies targeting specific pathways in either hyperinflammation and/or immunoparalysis. An emerging technology such as artificial intelligence (AI) may help to identify an immune paralysis subgroup who would best be treated by PD-1/PD-L1 pathway inhibitors.
败血症仍然是全球人类健康的一个主要问题,因此表现出高发病率和死亡率。败血症,曾经被理解为单相持续的过度炎症,目前被认为是宿主对感染的失调反应,在败血症的最早阶段同时发生过度炎症和免疫麻痹,涉及多个器官功能障碍。尽管最近在败血症发病机制的理解方面取得了进展,但在临床试验中尚未验证任何特定的治疗方法来恢复败血症中的免疫失调。近年来,在肿瘤浸润 T 淋巴细胞中针对免疫检查点(如程序性细胞死亡蛋白 1/程序性死亡配体(PD-1/PD-L)途径)的治疗在癌症免疫治疗领域取得了成功。由于败血症中的免疫麻痹涉及耗竭的 T 淋巴细胞,因此预计未来将在败血症中应用检查点抑制剂。此外,PD-1/PD-L 在先天淋巴细胞上的功能以及 PD-L1 的外泌体形式的作用值得进一步研究。回顾败血症免疫调节治疗的临床试验屡次失败的历史,败血症必须被认为是进行临床试验的一个困难疾病实体。一个可能阻止候选药物有效临床试验的主要障碍是疾病的复杂性和异质性;临床上诊断的败血症可能包含多个败血症亚组,这些亚组在不同器官中遭受不同程度的过度炎症和免疫抑制。因此,选择适当的更同质的败血症亚组是测试针对过度炎症和/或免疫麻痹特定途径的实验治疗的临床疗效的关键。人工智能(AI)等新兴技术可能有助于识别最适合接受 PD-1/PD-L1 途径抑制剂治疗的免疫麻痹亚组。