Liu Yuqiu, Gao Guanwen, Tian Wei, Lv Qingfeng, Liu Degao, Li Changzhong
Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Peking University Shenzhen Clinical Institute of Shantou University Medical College, Shenzhen, China.
Front Med (Lausanne). 2025 May 1;12:1528434. doi: 10.3389/fmed.2025.1528434. eCollection 2025.
The link between programmed cell death (PCD) and mitochondria has been documented in various diseases. However, its role in endometriosis (EMS) remains unexplored. This study aims to identify potential biomarkers in EMS associated with both PCD and mitochondrial functions.
This analysis incorporates datasets related to EMS, PCD-related genes (PCD-RGs), and mitochondria-related genes (MRGs) sourced from public repositories. To uncover potential biomarkers, differential expression analysis, weighted gene co-expression network analysis (WGCNA), Boruta feature selection, expression validation, and diagnostic assessments were conducted. Functional analyses, immune infiltration profiling, and the construction of regulatory networks further elucidated the mechanisms through which these biomarkers may influence EMS. Finally, single-cell data were leveraged to examine the expression and functionality of these biomarkers at a granular level.
Apoptosis-inducing factor mitochondria-associated 1 (AIFM1) and pyruvate dehydrogenase kinase 4 (PDK4) were identified as potential biomarkers, with PDK4 upregulated and AIFM1 downregulated in EMS. Both genes demonstrated strong diagnostic potential. Enrichment analyses indicated their involvement in pathways associated with the cell cycle. Immune infiltration analyses revealed that AIFM1 had a significant positive correlation with resting dendritic cells and a negative correlation with M2 macrophages, whereas PDK4 was positively associated with M2 macrophages and inversely related to follicular helper T cells. Moreover, AIFM1 and PDK4 were regulated by 16 miRNAs (e.g., hsa-mir-16-5p) and 18 lncRNAs (e.g., LINC00294). Single-cell analysis further revealed dynamic expression trends of these potential biomarkers across cell differentiation stages, including gametocytes, monocytes, mesenchymal stem cells, and neutrophils.
In this study, potential biomarkers (AIFM1 and PDK4) related to PCD and mitochondria were identified in EMS, offering valuable insights for the diagnosis and therapeutic strategies for the disease.
程序性细胞死亡(PCD)与线粒体之间的联系已在多种疾病中得到证实。然而,其在子宫内膜异位症(EMS)中的作用仍未被探索。本研究旨在确定EMS中与PCD和线粒体功能相关的潜在生物标志物。
本分析纳入了来自公共数据库的与EMS、PCD相关基因(PCD-RGs)和线粒体相关基因(MRGs)相关的数据集。为了发现潜在的生物标志物,进行了差异表达分析、加权基因共表达网络分析(WGCNA)、Boruta特征选择、表达验证和诊断评估。功能分析、免疫浸润分析和调控网络的构建进一步阐明了这些生物标志物可能影响EMS的机制。最后,利用单细胞数据在精细水平上研究这些生物标志物的表达和功能。
凋亡诱导因子线粒体相关蛋白1(AIFM1)和丙酮酸脱氢酶激酶4(PDK4)被确定为潜在的生物标志物,在EMS中PDK4上调而AIFM1下调。这两个基因都显示出很强的诊断潜力。富集分析表明它们参与了与细胞周期相关的途径。免疫浸润分析显示,AIFM1与静息树突状细胞呈显著正相关,与M2巨噬细胞呈负相关,而PDK4与M2巨噬细胞呈正相关,与滤泡辅助性T细胞呈负相关。此外,AIFM1和PDK4受16种miRNA(如hsa-mir-16-5p)和18种lncRNA(如LINC00294)调控。单细胞分析进一步揭示了这些潜在生物标志物在包括配子细胞、单核细胞、间充质干细胞和中性粒细胞在内的细胞分化阶段的动态表达趋势。
在本研究中,在EMS中鉴定出了与PCD和线粒体相关的潜在生物标志物,为该疾病的诊断和治疗策略提供了有价值的见解。