Sivelli Giulia, Barakat Arthur, Marable Kathryn B, Gruet Guillaume, Bitetti Serena L, Behr Barry, Lodde Valentina, Luciano Alberto Maria, Herrera Carolina, Blom Michelle, Grisi Marco
Annaida Technologies, École Polytechnique Fédérale de Lausanne Innovation Park C, Lausanne 1015, Switzerland.
Departments of Obstetrics and Gynecology, Stanford University, Stanford, CA 94305.
Proc Natl Acad Sci U S A. 2025 Aug 5;122(31):e2424459122. doi: 10.1073/pnas.2424459122. Epub 2025 Jul 28.
Analyzing cellular health and metabolism without compromising cell integrity is a major challenge. We present a noninvasive technique using micro magnetic resonance spectroscopy (micro MRS) for nondestructive metabolic fingerprinting at the single-cell scale. This is an application of micro MRS to bovine preimplantation embryos (~8 cells) and oocytes (single cell), with measurements performed on a total of over 150 samples. Among various applications, this method holds significant potential for assisted reproductive technologies (ART), where metabolic assessments of preimplantation embryos could improve treatment outcomes. Early results indicate that classification models using micro MRS data effectively distinguish embryos with high developmental potential and show correlation with oocytes maturity. Furthermore, a multigenerational safety study in a mouse model revealed no adverse effects from embryo exposure to static magnetic field. These findings indicate that micro MRS is a promising, safe tool for assessing embryo metabolism, potentially improving the efficiency and outcomes of ART.
在不损害细胞完整性的情况下分析细胞健康与代谢是一项重大挑战。我们提出了一种使用微磁共振波谱（micro MRS）的非侵入性技术，用于在单细胞水平进行无损代谢指纹识别。这是将微磁共振波谱应用于牛植入前胚胎（约8细胞）和卵母细胞（单细胞），总共对超过150个样本进行了测量。在各种应用中，该方法在辅助生殖技术（ART）方面具有巨大潜力，其中对植入前胚胎的代谢评估可以改善治疗效果。早期结果表明，使用微磁共振波谱数据的分类模型能够有效区分具有高发育潜力的胚胎，并与卵母细胞成熟度相关。此外，在小鼠模型中的多代安全性研究表明，胚胎暴露于静磁场没有产生不良影响。这些发现表明，微磁共振波谱是评估胚胎代谢的一种有前景的安全工具，可能会提高辅助生殖技术的效率和治疗效果。
