Kirkegaard K, Svane A S P, Nielsen J S, Hindkjær J J, Nielsen N C, Ingerslev H J
Centre for Preimplantation Genetic Diagnosis/The Fertility Clinic, Aarhus University Hospital, Brendstrupgaardsvej 100, Aarhus N 8200, Denmark Present address: Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
Center for Insoluble Protein Structures, Interdisciplinary Nanoscience Center (iNANO) and Department of Chemistry, Aarhus University, Gustav Wieds Vej 14, Aarhus C 8000, Denmark.
Hum Reprod. 2014 Nov;29(11):2413-20. doi: 10.1093/humrep/deu236. Epub 2014 Sep 24.
Does the metabolomic profile, obtained with nuclear magnetic resonance (NMR), of spent culture media from human embryos correlate with reproductive potential in a cohort of good prognosis patients?
In a large cohort of single transferred blastocysts from a homogeneous group of good prognosis patients, we find a high degree of individual variation in the metabolome that, however, has no relation to pregnancy outcome.
Differences among various specific metabolites have been linked to reproductive potential. Although results from retrospective near infrared (NIR) spectroscopy analyses of spent culture medias from transferred embryos were promising, randomized controlled trials were unable to demonstrate that NIR analysis improved pregnancy rates. Therefore, a more detailed investigation of the relation between embryo metabolism and reproductive potential is required. NMR is a powerful technique that provides detailed structural and dynamic information.
STUDY DESIGN, SIZE, DURATION: A prospective cohort study was conducted at the Fertility Clinic, Aarhus University Hospital between February 2011 and July 2012. Infertile patients aged <38 years without endometriosis were offered participation and their embryos were included if greater than or equal to eight oocytes were retrieved. In total, 161 infertile patients were included in the cohort.
PARTICIPANTS/MATERIALS, SETTING, METHODS: Spent culture media was collected on Days 3 and 5 after oocyte retrieval from 148 single transferred embryos. NMR spectra were obtained from 12 µl of spent media. Data were quantitatively analysed using multivariate analysis with respect to pregnancy outcome, defined as a live fetus by ultrasound in gestational Week 8, along with patient and treatment related variables such as embryo score, age, BMI, fertilization method and cause of infertility.
A total of 148 cycles were included in the analysis [embryo transfer cancelled (n = 12), no media collected (n = 1)]. Clinical pregnancy was confirmed in 47 patients (32%). We obtained high quality NMR spectra for 141 Day 3 and 137 Day 5 samples. Our spectra show a high degree of individual variation. Multivariate data analysis was performed on spectral data with several different pre-processing combinations, i.e. binning, alignment, normalization and scaling in the attempt to develop a valid prediction model. Different strategies of multivariate analysis showed, however, no correlation between the NMR profiles and pregnancy outcome, patient or treatment characteristics. No model could therefore be developed for prediction of pregnancy outcome. We conclude that within this group of good prognosis patients, large-scale metabolic variations between embryos detected with NMR have no apparent association with pregnancy outcome.
LIMITATIONS, REASONS FOR CAUTION: Although this study is the largest we know of using NMR to investigate metabolomic profiles of single-transferred embryos, there may be differences that would be detected with a larger study. When analysing such a small sample volume, even small variations in the amount of media and dilution may introduce a large uncertainty in the results.
Our study questions the usefulness of the entire metabolome for embryo selection, which should direct the search for viability markers in the culture media towards individual components.
STUDY FUNDING/COMPETING INTERESTS: Funding was provided by Aarhus University, the Lippert Foundation, the Toyota Foundation, the Aase og Einar Danielsen foundation. Research at the Fertility Clinic, Aarhus Universtity Hospital is supported by an unrestricted grant from MSD and Ferring. The authors declare no competing interest.
NCT01139268.
通过核磁共振(NMR)获得的人类胚胎废弃培养基的代谢组学特征与一组预后良好患者的生殖潜能是否相关?
在一组来自预后良好的同质患者的单胚胎移植囊胚队列中,我们发现代谢组存在高度个体差异,但这与妊娠结局无关。
各种特定代谢物之间的差异与生殖潜能有关。尽管对移植胚胎的废弃培养基进行回顾性近红外(NIR)光谱分析的结果很有前景,但随机对照试验未能证明NIR分析能提高妊娠率。因此,需要对胚胎代谢与生殖潜能之间的关系进行更详细的研究。NMR是一种强大的技术,可提供详细的结构和动态信息。
研究设计、规模、持续时间:2011年2月至2012年7月在奥胡斯大学医院生育诊所进行了一项前瞻性队列研究。招募年龄小于38岁且无子宫内膜异位症的不孕患者参与研究,若获取的卵母细胞大于或等于8个,则纳入其胚胎。该队列共纳入161名不孕患者。
参与者/材料、环境、方法:在卵母细胞采集后的第3天和第5天,从148个单胚胎移植中收集废弃培养基。从12微升废弃培养基中获取NMR光谱。使用多变量分析对数据进行定量分析,以评估妊娠结局(定义为妊娠第8周超声检查显示有活胎),以及患者和治疗相关变量,如胚胎评分、年龄、BMI、受精方式和不孕原因。
分析共纳入148个周期[取消胚胎移植(n = 12),未收集到培养基(n = 1)]。47名患者(32%)临床妊娠确诊。我们获得了141个第3天样本和137个第5天样本的高质量NMR光谱。我们的光谱显示出高度个体差异。对光谱数据进行了多种不同预处理组合(即分箱、校准、归一化和缩放)的多变量数据分析,试图建立一个有效的预测模型。然而,不同的多变量分析策略均显示,NMR图谱与妊娠结局、患者或治疗特征之间无相关性。因此,无法建立预测妊娠结局的模型。我们得出结论,在这组预后良好的患者中,通过NMR检测到的胚胎间大规模代谢差异与妊娠结局无明显关联。
局限性、注意事项:尽管本研究是我们所知的使用NMR研究单胚胎移植胚胎代谢组学特征的最大规模研究,但更大规模的研究可能会发现差异。在分析如此小的样本量时,即使培养基量和稀释度的微小变化也可能给结果带来很大不确定性。
我们的研究对整个代谢组在胚胎选择中的有用性提出质疑,这应引导在培养基中寻找活力标志物的方向转向单个成分。
研究资金/利益冲突:资金由奥胡斯大学、利珀特基金会、丰田基金会、阿斯和埃纳尔·丹尼尔森基金会提供。奥胡斯大学医院生育诊所的研究得到默克雪兰诺公司和辉凌制药公司无条件赠款的支持。作者声明无利益冲突。
NCT01139268。