Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil.
Paulista Center for Diagnosis, Research and Training, Ribeirao Preto, Brazil.
Fertil Steril. 2019 Mar;111(3):527-534. doi: 10.1016/j.fertnstert.2018.11.016. Epub 2019 Jan 2.
To investigate an association between polymorphisms related to the implantation process that together could help in the prediction of recurrent implantation failure (RIF).
Cohort study.
Private fertility center and reproductive genetics laboratory.
PATIENT(S): Forty-four women presenting RIF, who were included in study group (RIF group), and two control groups, one with 63 women who were attended at our service and became pregnant after the first IVF/intracytoplasmic sperm injection attempt (control group I) and other with 65 fertile women who had at least two children without any treatment and no history of miscarriage (control group II).
INTERVENTION(S): None.
MAIN OUTCOME MEASURE(S): Genotyping was performed in the intron region of TP63, VEGFA, MMP2, ESR1, and ESR2 genes and in the 3' untranslated region of the LIF gene on genomic DNA using real-time polymerase chain reaction.
RESULT(S): The presence of ESR1/AA (rs12199722) and LIF/GT (rs929271) genotypes was more frequent in the RIF group, leading to a 7.9-fold increase in the chance of women presenting with RIF when compared with women who became pregnant on their first cycle of IVF/intracytoplasmic sperm injection and a 2.8-fold increase when compared with women who became pregnant without treatment.
CONCLUSION(S): The association between ESR1 and LIF polymorphisms can help in the prediction of RIF.
研究与着床过程相关的多态性之间的关联，这些多态性共同有助于预测复发性着床失败（RIF）。
队列研究。
私人生育中心和生殖遗传学实验室。
44 名患有 RIF 的女性，她们被纳入研究组（RIF 组），以及两个对照组，一组有 63 名在我们的服务中就诊并在首次体外受精/胞浆内精子注射尝试后怀孕的女性（对照组 I），另一组有 65 名生育能力正常的女性，她们无需任何治疗就至少生育了两个孩子且没有流产史（对照组 II）。
无。
使用实时聚合酶链反应在基因组 DNA 中对 TP63、VEGFA、MMP2、ESR1 和 ESR2 基因的内含子区域以及 LIF 基因的 3'非翻译区进行基因分型。
RIF 组中 ESR1/AA（rs12199722）和 LIF/GT（rs929271）基因型的存在更为频繁，与首次 IVF/胞浆内精子注射周期怀孕的女性相比，RIF 女性怀孕的几率增加了 7.9 倍，与未经治疗就怀孕的女性相比，怀孕的几率增加了 2.8 倍。
ESR1 和 LIF 多态性之间的关联有助于预测 RIF。
