Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility

Authors：Wu, J., Liang, C., Wang, X., Huang, Y., Liu, W., Wang, R., Cao, J., Su, X., Yin, T., Wang, X., Zhang, Z., Shen, L., Li, D., Zou, W., Wu, J., Qiu, L., Di, W., Cao, Y., Ji, D., & Qian, K.

Source：Adv Sci (Weinh). 2023;e2302023.

DOI: 10.1002/advs.202302023

Abstract：Ovarian reserve (OR) and fertility are critical in women's healthcare. Clinical methods for encoding OR and fertility rely on the combination of tests, which cannot serve as a multi-functional platform with limited information from specific biofluids. Herein, metabolic fingerprinting of follicular fluid (MFFF) from follicles is performed, using particle-assisted laser desorption/ionization mass spectrometry (PALDI-MS) to encode OR and fertility. PALDI-MS allows efficient MFFF, showing fast speed (≈30 s), high sensitivity (≈60 fmol), and desirable reproducibility (coefficients of variation <15%). Further, machine learning of MFFF is applied to diagnose diminished OR (area under the curve of 0.929) and identify high-quality oocytes/embryos (p < 0.05) by a single PALDI-MS test. Meanwhile, metabolic biomarkers from MFFF are identified, which also determine oocyte/embryo quality (p < 0.05) from the sampling follicles toward fertility prediction in clinics. This approach offers a powerful platform in women's healthcare, not limited to OR and fertility.

Keywords: biofluids; biomarkers; diagnostics; mass spectrometry; metabolism.

中文摘要：卵巢储备(OR)和生育能力在妇女保健中至关重要。编码OR和生育能力的临床方法依赖于多种测试的结合，由于来自特定生物体液的信息有限，这些测试不能作为多功能平台。本文使用粒子辅助激光解吸/电离质谱法(PALDI-MS)对卵泡卵泡液(MFFF)进行代谢指纹识别，以编码OR和生育能力。PALDI-MS允许高效的MFFF，显示出快速(≈30 s)，高灵敏度(≈60 fmol)和理想的重现性(变异系数<15%)。进一步，利用MFFF的机器学习，通过单次PALDI-MS检测，诊断OR减小(曲线下面积为0.929)和鉴别优质卵母细胞/胚胎(p < 0.05)。同时，从MFFF中鉴定出代谢生物标志物，这些生物标志物也可以从取样卵泡中确定卵母细胞/胚胎质量(p < 0.05)，用于临床生育预测。这种方法为妇女保健提供了一个强大的平台，而不仅仅局限于手术室和生育。

关键词：生物流体；生物标志物；诊断；质谱；新陈代谢。