School of Pharmaceutical Science & Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, China.
Yunnan Institute for Food and Drug Control, Kunming, China.
Gene. 2024 Aug 5;918:148482. doi: 10.1016/j.gene.2024.148482. Epub 2024 Apr 20.
Sepsis is a life-threatening infectious disease in which an immune inflammatory response is triggered. The potential effect of ferroptosis-related genes (FRGs) in inflammation of sepsis remained unclear. We focused on identifying and validating core FRGs and their association with immune infiltration in blood from currently all patients with sepsis.
All current raw data of septic blood were obtained from Gene Expression Omnibus. After removing the batch effect merging into a complete dataset and obtaining Diferentially expressed genes (DEGs). Common cross-talk genes were identified from DEGs and FRGs. WGCNA, GO, KEGG, PPI, GESA, ROC curves, and LASSO regression analysis were performed to indentify and validate key genes based on external septic datasets. Infiltrated immune cells in 2 hub genes (MAPK14 and ACSL4) were conducted using CIBERSORT algorithm and Spearman correlation analysis. Further, the expressions of 2 core FRGs were verified in the LPS-induced ALI and cardiac injury sepsis mice.
MAPK14 and ACSL4 were identified, mostly enriched in T cell infiltration through NOD-like receptor signaling pathway according to the high or low 2 hub genes expression. The upregulated 2 ferroptosis-related genes were validated in LPS-induced ALI and cardiac injury mice, accompanied by upregulation of the NLRP3 pathway.
MAPK14 and ACSL4 could become robustly reliable and promising biomarkers for sepsis by regulating ferroptosis through the NLRP3 pathway, which is mainly associated with T-cell infiltration.
败血症是一种危及生命的传染病,其中会引发免疫炎症反应。铁死亡相关基因(FRGs)在败血症炎症中的潜在作用尚不清楚。我们专注于鉴定和验证核心 FRGs 及其与所有败血症患者血液中免疫浸润的关联。
从基因表达综合数据库中获取所有当前败血症血液的原始数据。在消除批次效应后,将其合并成一个完整的数据集,并获得差异表达基因(DEGs)。从 DEGs 和 FRGs 中识别共同的交叉对话基因。基于外部败血症数据集,通过 WGCNA、GO、KEGG、PPI、GESA、ROC 曲线和 LASSO 回归分析来鉴定和验证关键基因。使用 CIBERSORT 算法和 Spearman 相关分析对 2 个枢纽基因(MAPK14 和 ACSL4)中的浸润免疫细胞进行分析。进一步在 LPS 诱导的 ALI 和心脏损伤败血症小鼠中验证 2 个核心 FRGs 的表达。
根据高或低 2 个枢纽基因表达,MAPK14 和 ACSL4 主要富集在 NOD 样受体信号通路的 T 细胞浸润中。在 LPS 诱导的 ALI 和心脏损伤小鼠中,上调的 2 个铁死亡相关基因得到验证,同时 NLRP3 途径上调。
MAPK14 和 ACSL4 可以通过 NLRP3 途径调节铁死亡,与 T 细胞浸润密切相关,成为败血症可靠且有前途的生物标志物。