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不明原因复发性自然流产患者蜕膜自然杀伤细胞中 microRNAs 的全基因组鉴定。

Genome-wide identification of microRNAs in decidual natural killer cells from patients with unexplained recurrent spontaneous abortion.

机构信息

Department of Obstetrics and Gynecology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Family Planning Department, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.

出版信息

Am J Reprod Immunol. 2018 Nov;80(5):e13052. doi: 10.1111/aji.13052. Epub 2018 Oct 19.

DOI:10.1111/aji.13052
PMID:30339301
Abstract

PROBLEM

This study revealed miRNA regulation and functional microarray-based profiles of miRNAs in the natural killer (NK) cells of the decidual tissue obtained from patients with unexplained recurrent spontaneous abortion (URSA).

METHOD OF STUDY

Patients with URSA were categorized based on the occurrence of at least two or more successive spontaneous abortions between 7th and 10th gestational week. Total RNA was isolated from the NK cells of the decidual tissue obtained from patients with induced abortion at about the 8th gestational week. The potential contribution of regulatory miRNAs to a genetic predisposition to URSA was characterized by comparison with healthy and fertile controls and bioinformatics analyses.

RESULTS

Analysis of the miRNA expression profiles identified 50 miRNAs that were differentially expressed, including one down-regulated and 49 up-regulated miRNAs in the URSA group. MiRNA-Gene-Network, miRNA-GO-Network and miRNA-Gene-TF-Network were constructed. The key miRNAs, genes, GOs and core TFs in the network were determined.

CONCLUSION

Our results suggest that a close relationship exists between the aberrant miRNAs and URSA. Furthermore, these findings support the notion that altered expression of miRNAs may contribute to the clinical diagnosis of URSA and the potential to develop novel strategies for therapeutic targets against URSA.

摘要

问题

本研究揭示了不明原因复发性自然流产(URSA)患者蜕膜组织自然杀伤(NK)细胞中 miRNA 的调节和基于功能微阵列的 miRNA 谱。

研究方法

根据至少两次或更多连续发生在 7 至 10 孕周之间的自然流产,将 URSA 患者进行分类。从大约 8 孕周人工流产的患者蜕膜组织的 NK 细胞中分离总 RNA。通过与健康和生育能力对照组进行比较和生物信息学分析,对调节 miRNA 对 URSA 遗传易感性的潜在贡献进行了描述。

结果

miRNA 表达谱分析鉴定出 50 个差异表达的 miRNA,其中 URSA 组有 1 个下调和 49 个上调的 miRNA。构建了 miRNA-Gene-Network、miRNA-GO-Network 和 miRNA-Gene-TF-Network。确定了网络中的关键 miRNA、基因、GO 和核心 TF。

结论

我们的结果表明,异常 miRNA 与 URSA 之间存在密切关系。此外,这些发现支持这样一种观点,即 miRNA 表达的改变可能有助于 URSA 的临床诊断,并有可能针对 URSA 开发新的治疗靶点策略。

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