Ahlström Aisling, Wikland Matts, Rogberg Lena, Barnett Jeannette Siques, Tucker Michael, Hardarson Thorir
Fertilitetscentrum, Carlanderska Hospital, Göteborg Universitet, Sweden.
FC, Shady Grove Fertility Center RSC, 15001 Shady Grove Road, Rockville, USA.
Reprod Biomed Online. 2011 May;22(5):477-84. doi: 10.1016/j.rbmo.2011.01.009. Epub 2011 Jan 24.
Near-infrared (NIR) spectroscopic metabolomic profiling of spent embryo-culture media has been used to calculate a viability score for individual embryos. These scores have been found to correlate to the reproductive potential of cleavage-stage embryos. In this study, 137 spent blastocyst media samples were collected after single-embryo transfer and analysed by NIR spectroscopy to generate an algorithm and calculate viability scores. To blindly validate the algorithm development process, another algorithm was trained on 47 preselected samples from clinic 1 and then used to predict the outcome of 42 samples from clinic 2. The overall pregnancy rate from the two clinical sites was 50.4%. A positive correlation (R(2)=0.82, P=0.03) was observed with the increasing viability score quintiles and their associated implantation rates. Cross-validation of an algorithm generated from NIR analysis of media samples at one clinical setting blindly was shown to predict implantation potential of blastocysts cultured at another clinic in a different culture media and culture volume. This study demonstrates that metabolomic profiling by NIR spectroscopic analysis of day-5 spent embryo-culture media can predict the implantation potential of blastocysts. Furthermore, this method may not be restricted to a specific set of culturing conditions. The successes of IVF treatment cycles are in part limited by the ability to select the best single embryo from a cohort of patient embryos for transfer back to the woman. Routine procedures of embryo selection are based on morphology, including cell number and size, and the timing of cell division. These methods are favoured because they are quick and easy to assess. Human embryos are grown in culture solutions, which are specific for their stage of development. Recent studies analysing the culture solution in which the embryo are grown, by near infrared (NIR) spectroscopic analysis, have been able to predict if an embryo will implant or not. As culture conditions often vary between IVF laboratories the questions remained if the NIR technique could be used to independently predict the implantation potential of an embryo cultured at one laboratory using an algorithm trained on embryos at a second clinic, a so-called cross-validation. The results of this study show that NIR spectroscopy can predict the ability of embryos to implant even when grown in different IVF laboratories and in two different culture solutions. This information supports the idea that NIR spectroscopy can be used globally not relying on specific culture conditions or media.
已采用近红外(NIR)光谱代谢组学分析方法对废弃胚胎培养液进行分析,以计算单个胚胎的活力评分。研究发现,这些评分与卵裂期胚胎的生殖潜能相关。在本研究中,收集了单胚胎移植后137份废弃囊胚培养液样本,并通过近红外光谱进行分析,以生成一种算法并计算活力评分。为了对算法开发过程进行盲法验证,在来自诊所1的47个预选样本上训练另一种算法,然后用于预测来自诊所2的42个样本的结果。两个临床站点的总体妊娠率为50.4%。随着活力评分五分位数及其相关着床率的增加,观察到正相关(R(2)=0.82,P=0.03)。在一个临床环境中对培养液样本进行近红外分析生成的算法进行交叉验证,结果表明该算法能够预测在另一个诊所使用不同培养液和培养体积培养的囊胚的着床潜能。本研究表明,通过对第5天废弃胚胎培养液进行近红外光谱分析的代谢组学分析能够预测囊胚的着床潜能。此外,该方法可能不受特定培养条件的限制。体外受精治疗周期的成功部分受到从一批患者胚胎中选择最佳单个胚胎移植回女性体内能力的限制。胚胎选择的常规程序基于形态学,包括细胞数量和大小以及细胞分裂时间。这些方法受到青睐是因为它们快速且易于评估。人类胚胎在特定发育阶段的培养液中生长。最近通过近红外(NIR)光谱分析对胚胎生长的培养液进行分析的研究能够预测胚胎是否会着床。由于体外受精实验室之间的培养条件往往不同,问题仍然存在,即近红外技术是否可用于使用在第二个诊所的胚胎上训练的算法独立预测在一个实验室培养的胚胎的着床潜能,即所谓的交叉验证。本研究结果表明,即使在不同的体外受精实验室和两种不同的培养液中生长,近红外光谱也能够预测胚胎的着床能力。这一信息支持了近红外光谱可在全球范围内使用而不依赖特定培养条件或培养液的观点。