MicroRNAs secreted by human preimplantation embryos and IVF outcome.
MicroRNAs secreted by human preimplantation embryos and IVF outcome.
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DOI：
10.1186/s12958-022-00989-0
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发表时间：
2022-08-30
影响因子：
4.4
通讯作者：
Tanaka, Mamoru
中科院分区：
文献类型：
--
作者：
Kamijo, Shintaro;Hamatani, Toshio;Sasaki, Hiroyuki;Suzuki, Hiroki;Abe, Akane;Inoue, Osamu;Iwai, Maki;Ogawa, Seiji;Odawara, Kei;Tanaka, Kanako;Mikashima, Mutsumi;Suzuki, Masami;Miyado, Kenji;Matoba, Ryo;Odawara, Yasushi;Tanaka, Mamoru
通过分析胚胎培养液中的microRNAs（miRNAs），建立有效的胚胎预测模型，并确定一种无创性的评估方法。来自具有良好形态的囊胚的废培养基的microRNA谱的分析，所述囊胚导致或不导致妊娠。临床和实验研究。在卵胞浆内单精子注射后接受囊胚解冻胚胎移植的60例患者。没有。培养液中胚泡分泌的miRNA丰度水平与着床成功的关系我们的RNA测序分析在妊娠组和非妊娠组的培养液中共发现了53个差异表达的miRNA。分析了21种miRNAs预测植入成功的潜力。从qPCR Ct值的逻辑回归分析的结果中进一步提取八种miRNA（hsa-miR-191- 5 p、hsa-miR-320 a、hsa-miR-92 a-3 p、hsa-miR-509- 3 p、hsa-miR-378 a-3 p、hsa-miR-28- 3 p、hsa-miR-512- 5 p和hsa-miR-181 a-5 p）。使用8种miRNAs生成高质量囊胚的预测模型，通过5倍交叉验证，平均准确度为0.82。我们分离出了可以预测着床成功的胚泡miRNAs，并建立了一个预测存活胚胎的模型。需要增加研究病例的数量并进一步研究每种miRNA对胚胎发育的影响，以完善基于miRNA的预测模型。
To generate an effective embryo prediction model and identify a non-invasive evaluation method by analyzing microRNAs (miRNAs) in embryo culture medium. Analysis of microRNA profiles from spent culture medium of blastocysts with good morphology that did or did not result in pregnancy. Clinical and experimental research. Sixty patients who underwent thawed embryo transfer of blastocysts after intracytoplasmic sperm injection. None. The association of miRNA abundance levels secreted by blastocysts in culture medium and implantation success. Our RNA sequencing analysis found a total of 53 differentially expressed miRNAs in the culture media of pregnancy and non-pregnancy groups. Twenty-one miRNAs were analyzed for their potential to predict implantation success. Eight miRNAs (hsa-miR-191-5p, hsa-miR-320a, hsa-miR-92a-3p, hsa-miR-509-3p, hsa-miR-378a-3p, hsa-miR-28-3p, hsa-miR-512-5p, and hsa-miR-181a-5p) were further extracted from the results of a logistic regression analysis of qPCR Ct values. A prediction model for high-quality blastocysts was generated using the eight miRNAs, with an average accuracy of 0.82 by 5-fold cross validation. We isolated blastocyst miRNAs that may predict implantation success and created a model to predict viable embryos. Increasing the number of investigated cases and further studying the effect of each miRNA on embryonic development is needed to refine the miRNA-based predictive model.
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