State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Center for Reproductive Medicine, Provincial Hospital Affiliated with Shandong University, Jinan, Shandong, China; Key Laboratory for Reproductive Endocrinology of Ministry of Education, Jinan, Shandong, China.
Fertil Steril. 2019 Apr;111(4):753-762.e1. doi: 10.1016/j.fertnstert.2018.11.036. Epub 2019 Jan 22.
To develop and validate Raman metabolic footprint analysis to determine chromosome euploidy and aneuploidy in embryos fertilized in vitro.
Retrospective study.
Academic hospital.
PATIENT(S): Unselected assisted reproductive technology population.
INTERVENTION(S): To establish the analysis protocol, spent embryo culture medium samples with known genetic outcomes from 87 human embryos were collected and measured with the use of Raman spectroscopy. Individual Raman spectra were analyzed to find biologic components contributing to either euploidy or aneuploidy. To validate the protocol via machine-learning algorithms, additional 1,107 Raman spectra from 123 embryo culture media (61 euploidy and 62 aneuploidy) were analyzed.
MAIN OUTCOME MEASURE(S): Raman-based footprint profiling of spent culture media and preimplantation genetic testing for aneuploidy (PGT-A).
RESULT(S): Mean-centered Raman spectra and principal component analysis showed differences in the footprints of euploid and aneuploid embryos growing in culture medium. Significant differences in Raman bands associated with small RNAs and lipids were also observed. Stacking classification based on k-nearest-neighbor, random forests, and extreme-gradient-boosting algorithms achieved an overall accuracy of 95.9% in correctly assigning either euploidy or aneuploidy based on Raman spectra, which was validated by PGT-A sequencing results.
CONCLUSION(S): This study suggests that chromosomal abnormalities in embryos should lead to changes of metabolic footprints in embryo growth medium that can be detected by Raman spectroscopy. The ploidy status of embryos was analyzed by means of Raman-based footprint profiling of spent culture media and was consistent with PGT-A testing performed by next-generation sequencing.
开发和验证拉曼代谢足迹分析,以确定体外受精胚胎的染色体整倍体和非整倍体。
回顾性研究。
学术医院。
未选择的辅助生殖技术人群。
为了建立分析方案,收集了 87 个人类胚胎具有已知遗传结果的废弃胚胎培养物样本,并使用拉曼光谱进行测量。分析个体拉曼光谱以找到导致整倍体或非整倍体的生物成分。通过机器学习算法验证方案,分析了 123 个胚胎培养物的另外 1107 个拉曼光谱(61 个整倍体和 62 个非整倍体)。
废弃培养物的拉曼足迹分析和非整倍体植入前遗传学检测(PGT-A)。
均值中心化拉曼光谱和主成分分析显示,在培养基中生长的整倍体和非整倍体胚胎的足迹存在差异。还观察到与小 RNA 和脂质相关的拉曼带存在显著差异。基于 K-最近邻、随机森林和极端梯度增强算法的堆叠分类在根据拉曼光谱正确分配整倍体或非整倍体方面达到了 95.9%的总体准确性,这通过 PGT-A 测序结果得到验证。
本研究表明,胚胎中的染色体异常应导致胚胎生长培养基中代谢足迹发生变化,可通过拉曼光谱检测到。通过废弃培养物的拉曼足迹分析来分析胚胎的倍性状态与通过下一代测序进行的 PGT-A 测试结果一致。