Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Medical Intensive Care Unit, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Front Immunol. 2024 Feb 19;15:1344805. doi: 10.3389/fimmu.2024.1344805. eCollection 2024.
Acute lung injury (ALI)/severe acute respiratory distress syndrome (ARDS) is a serious clinical syndrome characterized by a high mortality rate. The pathophysiological mechanisms underlying ALI/ARDS remain incompletely understood. Considering the crucial role of immune infiltration and macrophage polarization in the pathogenesis of ALI/ARDS, this study aims to identify key genes associated with both ALI/ARDS and M1 macrophage polarization, employing a combination of bioinformatics and experimental approaches. The findings could potentially reveal novel biomarkers for the diagnosis and management of ALI/ARDS.
Gene expression profiles relevant to ALI were retrieved from the GEO database to identify co-upregulated differentially expressed genes (DEGs). GO and KEGG analyses facilitated functional annotation and pathway elucidation. PPI networks were constructed to identify hub genes, and differences in immune cell infiltration were subsequently examined. The expression of hub genes in M1 versus M2 macrophages was evaluated using macrophage polarization datasets. The diagnostic utility of (PD-L1) for ARDS was assessed by receiver operating characteristic (ROC) analysis in a validation dataset. Experimental confirmation was conducted using two LPS-induced M1 macrophage models and an ALI mouse model. The role of (PD-L1) in M1 macrophage polarization and associated proinflammatory cytokine production was further investigated by siRNA-mediated silencing.
A total of 99 co-upregulated DEGs were identified in two ALI-linked datasets. Enrichment analysis revealed that these DEGs were mainly involved in immune-inflammatory pathways. The following top 10 hub genes were identified from the PPI network: , , , , , , , , , and . Immune infiltration analysis revealed a significantly increased abundance of M1 and M2 macrophages in lung tissue from the ALI group compared to the control group. Subsequent analysis confirmed that (PD-L1), a key immunological checkpoint molecule, was highly expressed within M1 macrophages. ROC analysis validated (PD-L1) as a promising biomarker for the diagnosis of ARDS. Both and experiments supported the bioinformatics analysis and confirmed that the JAK-STAT3 pathway promotes (PD-L1) expression on M1 macrophages. Importantly, knockdown of (PD-L1) expression potentiated M1 macrophage polarization and enhanced proinflammatory cytokines production.
This study demonstrates a significant correlation between (PD-L1) and M1 macrophages in ALI/ARDS. (PD-L1) functions as a negative regulator of M1 polarization and the secretion of proinflammatory cytokines in macrophages. These findings suggest potential new targets for the diagnosis and treatment of ALI/ARDS.
急性肺损伤(ALI)/严重急性呼吸窘迫综合征(ARDS)是一种死亡率很高的严重临床综合征。ALI/ARDS 的病理生理机制仍不完全清楚。鉴于免疫浸润和巨噬细胞极化在 ALI/ARDS 发病机制中的关键作用,本研究采用生物信息学和实验方法相结合,旨在鉴定与 ALI/ARDS 和 M1 巨噬细胞极化均相关的关键基因。研究结果可能为 ALI/ARDS 的诊断和治疗提供新的生物标志物。
从 GEO 数据库中检索与 ALI 相关的基因表达谱,以鉴定共同上调的差异表达基因(DEGs)。GO 和 KEGG 分析有助于功能注释和途径阐明。构建 PPI 网络以鉴定枢纽基因,并随后检测免疫细胞浸润的差异。使用巨噬细胞极化数据集评估枢纽基因在 M1 与 M2 巨噬细胞中的表达。使用验证数据集通过接受者操作特征(ROC)分析评估 PD-L1 对 ARDS 的诊断效用。使用两种 LPS 诱导的 M1 巨噬细胞模型和 ALI 小鼠模型进行实验验证。通过 siRNA 介导的沉默进一步研究 PD-L1 在 M1 巨噬细胞极化和相关促炎细胞因子产生中的作用。
在两个与 ALI 相关的数据集中共鉴定到 99 个共同上调的 DEGs。富集分析表明,这些 DEGs主要参与免疫炎症途径。从 PPI 网络中鉴定出以下前 10 个枢纽基因: 、 、 、 、 、 、 、 、 。免疫浸润分析显示,与对照组相比,ALI 组肺组织中 M1 和 M2 巨噬细胞的丰度明显增加。随后的分析证实,免疫检查点分子 PD-L1 在 M1 巨噬细胞中高表达。ROC 分析验证了 PD-L1 是 ARDS 诊断的有前途的生物标志物。和实验均支持生物信息学分析,并证实 JAK-STAT3 通路促进 M1 巨噬细胞上 PD-L1 的表达。重要的是,下调 PD-L1 的表达增强了 M1 巨噬细胞极化和促炎细胞因子的产生。
本研究表明,在 ALI/ARDS 中 PD-L1 与 M1 巨噬细胞之间存在显著相关性。PD-L1 作为 M1 极化和巨噬细胞中促炎细胞因子分泌的负调节剂发挥作用。这些发现为 ALI/ARDS 的诊断和治疗提供了新的潜在靶点。