LC-MS based untargeted metabolomics reveals benzoic acid as a predictive biomarker for embryo implantation potential

IF 3.6 3区化学 Q2 CHEMISTRY, ANALYTICAL

Analyst Pub Date : 2025-03-25 DOI:10.1039/d4an01552e

Xi Chen, Ying Liu, Sheng-Nan Duan, Ping Wang, Yu-Nan Chen, Min Fu, Rong Liang, Xinxiang Zhang, Huan Shen, Ying-Lin Zhou, Cheng Shi

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Abstract

Evaluating the quality of embryos and implantation potential is a critical determinant of in vitro fertilization and embryo transfer, and it is also one of the main challenges of assisted reproductive technology. A reliable noninvasive method to choose the best candidate with real implantation potential for transfer from two day 3 embryos with equal morphological quality is still lacking clinically. In this article, a sensitive LC-MS method was developed and metabolomic profiling analysis in 3 days embryo culture medium was performed. Differential metabolites were analysed in two kinds of commercial culture media, and a total of common 66 metabolites were obtained from 106 independent samples in 5 batches. The relationship between changes in key metabolite benzoic acid concentrations and the embryo implantation result was discovered. This work improved coverage through conditional optimization, enhanced the reliability of omics data through multi batch validation, and provided a potential biomarker for evaluating the implantation potential of day 3 embryos.

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评估胚胎质量和植入潜力是体外受精和胚胎移植的关键决定因素，也是辅助生殖技术面临的主要挑战之一。目前临床上仍缺乏一种可靠的无创方法，从两个形态质量相同的第 3 天胚胎中选择具有真正植入潜能的最佳候选胚胎进行移植。本文开发了一种灵敏的 LC-MS 方法，并对 3 天胚胎培养基进行了代谢组学分析。对两种商业培养基中的差异代谢物进行了分析，并从 5 批 106 个独立样品中获得了共 66 种常见代谢物。发现了关键代谢物苯甲酸浓度变化与胚胎着床结果之间的关系。这项工作通过条件优化提高了覆盖率，通过多批次验证增强了omics数据的可靠性，并为评估第3天胚胎的植入潜力提供了潜在的生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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