背景:乳酸,作为感染性休克的重要临床评价指标,在感染性休克的发生和进展中至关重要。本研究旨在探讨差异表达,监管关系,临床诊断效能,乳酸代谢相关基因(LMGs)在感染性休克中的免疫浸润。方法:从GEO数据库中筛选出两个脓毒症休克数据集(GSE26440和GSE131761),并筛选出两个数据集的共同差异表达基因(DEGs)。LMGs是从GeneCards数据库中选择的,和乳酸代谢相关的DEGs(LMDEGs)通过整合DEGs和LMGs来确定。蛋白质-蛋白质相互作用网络,mRNA-miRNA,mRNA-RBP,使用STRING构建mRNA-TF相互作用网络,miRDB,恩科里,和CHIPBase数据库,分别。构建每个LMDEGs的受试者工作特征(ROC)曲线,以评价与脓毒性休克相关的表达变化的诊断功效。最后,使用ssGSEA和CIBERSORT进行免疫浸润分析。结果:本研究确定了10个LMDEGs,包括LDHB,STAT3,LDHA,GSR,FOXM1,PDP1,GCDH,GCKR,ABCC1和CDKN3。富集分析显示DEGs在丙酮酸代谢等途径中显著富集,缺氧途径,和免疫炎症途径。基于LMDEGs的PPI网络,以及148对mRNA-miRNA相互作用,243对mRNA-RBP相互作用,并建立了119对mRNA-TF相互作用。八个LMDEGs的ROC曲线(LDHA,GSR,STAT3,CDKN3,FOXM1,GCKR,在两个数据集中具有一致表达模式的PDP1和LDHB)的曲线下面积(AUC)为0.662至0.889。ssGSEA和CIBERSORT的结果均显示各种免疫细胞的浸润有显著差异,包括CD8T细胞,调节性T细胞,和自然杀伤细胞,和LMDEGs,如STAT3,LDHB,LDHA,PDP1、GSR、FOXM1和CDKN3与各种免疫细胞显着相关。结论:LMDEGs与感染性休克的免疫炎症反应密切相关,对感染性休克具有一定的诊断准确性。
Background: Lactate, as an essential clinical evaluation index of septic shock, is crucial in the incidence and progression of septic shock. This study aims to investigate the differential expression, regulatory relationship, clinical diagnostic efficacy, and immune infiltration of lactate metabolism-related genes (LMGs) in septic shock. Methods: Two sepsis shock datasets (GSE26440 and GSE131761) were screened from the GEO database, and the common differentially expressed genes (DEGs) of the two datasets were screened out. LMGs were selected from the GeneCards database, and lactate metabolism-related DEGs (LMDEGs) were determined by integrating DEGs and LMGs. Protein-protein interaction networks, mRNA-miRNA, mRNA-RBP, and mRNA-TF interaction networks were constructed using STRING, miRDB, ENCORI, and CHIPBase databases, respectively. Receiver operating characteristic (ROC) curves were constructed for each of the LMDEGs to evaluate the diagnostic efficacy of the expression changes in relation to septic shock. Finally, immune infiltration analysis was performed using ssGSEA and CIBERSORT. Results: This study identified 10 LMDEGs, including LDHB, STAT3, LDHA, GSR, FOXM1, PDP1, GCDH, GCKR, ABCC1, and CDKN3. Enrichment analysis revealed that DEGs were significantly enriched in pathways such as pyruvate metabolism, hypoxia pathway, and immune-inflammatory pathways. PPI networks based on LMDEGs, as well as 148 pairs of mRNA-miRNA interactions, 243 pairs of mRNA-RBP interactions, and 119 pairs of mRNA-TF interactions were established. ROC curves of eight LMDEGs (LDHA, GSR, STAT3, CDKN3, FOXM1, GCKR, PDP1, and LDHB) with consistent expression patterns in two datasets had an area under the curve (AUC) ranging from 0.662 to 0.889. The results of ssGSEA and CIBERSORT both showed significant differences in the infiltration of various immune cells, including CD8 T cells, T regulatory cells, and natural killer cells, and LMDEGs such as STAT3, LDHB, LDHA, PDP1, GSR, FOXM1, and CDKN3 were significantly associated with various immune cells. Conclusion: The LMDEGs are significantly associated with the immune-inflammatory response in septic shock and have a certain diagnostic accuracy for septic shock.