Department of Obstetrics and Gynecology, Keio University School of Medicine, 35 Shinanomachi Shinjuku-ku, Tokyo, 160-8582, Japan.
Fertility Clinic Tokyo, Tokyo, Japan.
Reprod Biol Endocrinol. 2022 Aug 30;20(1):130. doi: 10.1186/s12958-022-00989-0.
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.
INTERVENTION(S): None.
MAIN OUTCOME MEASURE(S): 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.
通过分析胚胎培养液中的 microRNAs（miRNAs），生成有效的胚胎预测模型并确定一种非侵入性评估方法。
分析形态良好的囊胚培养后废弃培养液中 miRNA 谱，这些囊胚的妊娠结局有或无。
临床和实验研究。
60 例行卵胞浆内单精子注射后解冻胚胎移植的患者。
无。
囊胚在培养中分泌的 miRNA 丰度水平与种植成功的关系。
我们的 RNA 测序分析发现，妊娠组和非妊娠组培养液中共有 53 个差异表达的 miRNA。分析了 21 个 miRNA 以评估其预测种植成功的潜力。对 qPCR Ct 值的逻辑回归分析结果进一步提取了 8 个 miRNA（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 和 hsa-miR-181a-5p）。使用这 8 个 miRNA 生成了高质量囊胚的预测模型，通过 5 重交叉验证平均准确率为 0.82。
我们分离出了可能预测种植成功的囊胚 miRNA，并创建了一个预测可育胚胎的模型。需要增加研究病例数，并进一步研究每个 miRNA 对胚胎发育的影响，以完善基于 miRNA 的预测模型。
