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通过整合生物信息学和机器学习分析子宫内膜异位症中诊断性凋亡相关生物标志物及免疫细胞浸润特征

Analysis of diagnostic apoptosis-related biomarkers and immune cell infiltration characteristics in endometriosis by integrating bioinformatics and machine learning.

作者信息

Weng Xiulan, Ye Jingxuan, Lin Wenyu, Wang Dingjie, Yi Jinsong, Wang Zhenhong, Sun Pengming

机构信息

College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China.

Fujian Key Laboratory of Women and Childrens Critical Diseases Research, Fujian Maternity and Child Health Hospital (Fujian Women and Childrens Hospital), Fuzhou, 350001, Fujian, China.

出版信息

Sci Rep. 2025 Sep 29;15(1):33609. doi: 10.1038/s41598-025-19007-5.

DOI:10.1038/s41598-025-19007-5
PMID:41023129
Abstract

Endometriosis (EMs) is a chronic disease affecting millions of women worldwide, yet its pathogenesis remains unclear, and current diagnostic methods are limited. This study based on the EMs dataset from Gene Expression Omnibus (GEO), key genes related to cell apoptosis in EMs were identified through methods such as differential expression analysis and machine learning. Furthermore, analyses including nomogram construction, immune infiltration analysis, and drug prediction were performed based on these key genes. Three apoptosis-related genes-FAS, PRKAR2B and CSF2RB were identified as key genes. The nomogram constructed based on these key genes has good predictive performance. Immune infiltration analysis revealed associations between CSF2RB and activated B cells and immature dendritic cells, while FAS correlated with myeloid-derived suppressor cells (MDSCs). Additionally, potential therapeutic agents targeting these genes were identified. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis revealed that FAS and CSF2RB expression levels were significantly downregulated in the EMs group compared to controls (P < 0.05). In conclusion, FAS, PRKAR2B and CSF2RB are promising diagnostic biomarkers for EMs and are associated with specific immune cell populations, offering potential targets for future therapeutic interventions.

摘要

子宫内膜异位症(EMs)是一种影响全球数百万女性的慢性疾病,但其发病机制仍不清楚,且目前的诊断方法有限。本研究基于来自基因表达综合数据库(GEO)的EMs数据集,通过差异表达分析和机器学习等方法鉴定了与EMs细胞凋亡相关的关键基因。此外,基于这些关键基因进行了包括列线图构建、免疫浸润分析和药物预测等分析。确定了三个与凋亡相关的基因——FAS、PRKAR2B和CSF2RB为关键基因。基于这些关键基因构建的列线图具有良好的预测性能。免疫浸润分析揭示了CSF2RB与活化B细胞和未成熟树突状细胞之间的关联,而FAS与髓系来源抑制细胞(MDSC)相关。此外,还确定了靶向这些基因的潜在治疗药物。逆转录定量聚合酶链反应(RT-qPCR)分析显示,与对照组相比,EMs组中FAS和CSF2RB的表达水平显著下调(P < 0.05)。总之,FAS、PRKAR2B和CSF2RB是有前景的EMs诊断生物标志物,且与特定免疫细胞群体相关,为未来的治疗干预提供了潜在靶点。

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本文引用的文献

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Cytokine and chemokine profiles in women with endometriosis, polycystic ovary syndrome, and unexplained infertility.子宫内膜异位症、多囊卵巢综合征和不明原因不孕妇女的细胞因子和趋化因子谱。
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Research progress of dydrogesterone in the treatment of endometriosis.地屈孕酮治疗子宫内膜异位症的研究进展。
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Pirin Inhibits FAS-Mediated Apoptosis to Support Colorectal Cancer Survival.吡啉抑制FAS介导的细胞凋亡以支持结直肠癌存活。
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Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders.子宫内膜异位症与抑郁、焦虑和饮食失调的流行病学和遗传学关联。
JAMA Netw Open. 2023 Jan 3;6(1):e2251214. doi: 10.1001/jamanetworkopen.2022.51214.
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Dissecting the role of expression in human regulatory T cells.解析 表达在人类调节性 T 细胞中的作用。
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Bioinformatics identification and validation of biomarkers and infiltrating immune cells in endometriosis.生物信息学鉴定和验证子宫内膜异位症的生物标志物和浸润免疫细胞。
Front Immunol. 2022 Nov 29;13:944683. doi: 10.3389/fimmu.2022.944683. eCollection 2022.
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Economic Implications of Endometriosis: A Review.内异症的经济学意义:综述。
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