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反复种植失败中的潜在生物标志物和子宫内膜免疫微环境。

Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure.

机构信息

The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China.

Gansu International Scientific and Technological Cooperation Base of Reproductive Medicine Transformation Application, Key Laboratory for Reproductive Medicine and Embryo of Gansu, Lanzhou 730000, China.

出版信息

Biomolecules. 2023 Feb 21;13(3):406. doi: 10.3390/biom13030406.

Abstract

The molecular mechanisms underlying unexplained recurrent implantation failure (RIF) remain unclear. This study aimed at identifying potential biomarkers, exploring relevant signaling pathways, and analyzing the contribution of immune cell infiltration in RIF. Microarray expression datasets were extracted from the Gene Expression Omnibus database to perform bioinformatic analyses. The results showed that ten hub genes may predict RIF with high specificity and sensitivity (area under the curve = 1.000). Protein-protein interaction analysis revealed close interactions between the hub genes and the endometrial receptivity array. The real-time quantitative polymerase chain reaction further validated three potential biomarkers ( and ). Functional enrichment analyses indicated that immune pathways were significantly downregulated and lipid metabolism pathways were significantly upregulated in RIF compared with the controls. Significant negative correlations were observed between fatty acid biosynthesis and the immune pathways. Immune cell infiltration, including those in CD56dim natural killer, dendritic, Th1, Th2, and regulatory T cells, as well as macrophages, was significantly reduced in RIF compared with the controls used herein. This study may provide a novel perspective on the diagnosis and treatment of RIF.

摘要

不明原因反复着床失败(RIF)的潜在分子机制仍不清楚。本研究旨在鉴定潜在的生物标志物,探索相关信号通路,并分析免疫细胞浸润在 RIF 中的作用。从基因表达综合数据库中提取微阵列表达数据集进行生物信息学分析。结果表明,十个枢纽基因可能具有高特异性和敏感性预测 RIF(曲线下面积=1.000)。蛋白质-蛋白质相互作用分析显示枢纽基因与子宫内膜容受性阵列之间存在密切相互作用。实时定量聚合酶链反应进一步验证了三个潜在的生物标志物(和)。功能富集分析表明,与对照组相比,RIF 中免疫途径显著下调,脂质代谢途径显著上调。脂肪酸生物合成与免疫途径之间存在显著负相关。与对照组相比,RIF 中的免疫细胞浸润,包括 CD56dim 自然杀伤细胞、树突状细胞、Th1、Th2 和调节性 T 细胞以及巨噬细胞,明显减少。本研究可能为 RIF 的诊断和治疗提供新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/999f/10046278/d00cece8763d/biomolecules-13-00406-g001.jpg

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