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A robust metabolomics approach for the evaluation of human embryos from in vitro fertilization
Analyst ( IF 3.6 ) Pub Date : 2021-08-25 , DOI: 10.1039/d1an01191j
Cecilia Beatriz Figoli 1 , Marcelo Garcea 2 , Claudio Bisioli 2 , Valeria Tafintseva 3 , Volha Shapaval 3 , Mariana Gómez Peña 2 , Luz Gibbons 4 , Fernando Althabe 4 , Osvaldo Miguel Yantorno 1 , Marcos Horton 2 , Jürgen Schmitt 5 , Peter Lasch 6 , Achim Kohler 3 , Alejandra Bosch 1
Affiliation  

The identification of the most competent embryos for transfer to the uterus constitutes the main challenge of in vitro fertilization (IVF). We established a metabolomic-based approach by applying Fourier transform infrared (FTIR) spectroscopy on 130 samples of 3-day embryo culture supernatants from 26 embryos that implanted and 104 embryos that failed. On examining the internal structure of the data by unsupervised multivariate analysis, we found that the supernatant spectra of nonimplanted embryos constituted a highly heterogeneous group. Whereas ∼40% of these supernatants were spectroscopically indistinguishable from those of successfully implanted embryos, ∼60% exhibited diverse, heterogeneous metabolic fingerprints. This observation proved to be the direct result of pregnancy's multifactorial nature, involving both intrinsic embryonic traits and external characteristics. Our data analysis strategy thus involved one-class modelling techniques employing soft independent modelling of class analogy that identified deviant fingerprints as unsuitable for implantation. From these findings, we could develop a noninvasive Fourier-transform-infrared-spectroscopy–based approach that represents a shift in the fundamental paradigm for data modelling applied in assisted-fertilization technologies.

中文翻译:

用于评估来自体外受精的人类胚胎的强大代谢组学方法

鉴定最有能力的胚胎移植到子宫是体外试验的主要挑战受精(IVF)。我们通过对来自 26 个植入胚胎和 104 个失败胚胎的 3 天胚胎培养上清液的 130 个样本应用傅里叶变换红外 (FTIR) 光谱,建立了一种基于代谢组学的方法。通过无监督多变量分析检查数据的内部结构,我们发现非植入胚胎的上清液光谱构成了一个高度异质的组。虽然这些上清液中的约 40% 与成功植入胚胎的上清液在光谱上无法区分,但约 60% 表现出不同的、异质的代谢指纹。事实证明,这一观察结果是妊娠多因素性质的直接结果,涉及内在的胚胎特征和外部特征。因此,我们的数据分析策略涉及一类建模技术,该技术采用类类比的软独立建模,将异常指纹识别为不适合植入。根据这些发现,我们可以开发一种基于无创傅里叶变换红外光谱的方法,该方法代表了辅助受精技术中应用的数据建模的基本范式的转变。
更新日期:2021-09-13
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