UniCamillus-Saint Camillus International University of Health Sciences, Via di Sant'Alessandro 8, 00131 Rome, Italy.
Alma Res Fertility Center, Laboratory of Andrology and Embriology, Via Parenzo 12, 00198 Rome, Italy.
Int J Mol Sci. 2021 Aug 14;22(16):8735. doi: 10.3390/ijms22168735.
Nearly 40-50% of infertility problems are estimated to be of female origin. Previous studies dedicated to the analysis of metabolites in follicular fluid (FF) produced contrasting results, although some valuable indexes capable to discriminate control groups (CTRL) from infertile females (IF) and correlate with outcome measures of assisted reproduction techniques were in some instances found. In this study, we analyzed in blind FF of 35 control subjects (CTRL = patients in which inability to obtain pregnancy was exclusively due to a male factor) and 145 IF (affected by: endometriosis, = 19; polycystic ovary syndrome, = 14; age-related reduced ovarian reserve, = 58; reduced ovarian reserve, = 29; unexplained infertility, = 14; genetic infertility, = 11) to determine concentrations of 55 water- and fat-soluble low molecular weight compounds (antioxidants, oxidative/nitrosative stress-related compounds, purines, pyrimidines, energy-related metabolites, and amino acids). Results evidenced that 27/55 of them had significantly different values in IF with respect to those measured in CTRL. The metabolic pattern of these potential biomarkers of infertility was cumulated (in both CTRL and IF) into a Biomarker Score index (incorporating the metabolic anomalies of FF), that fully discriminated CTRL (mean Biomarker Score value = 4.00 ± 2.30) from IF (mean Biomarker Score value = 14.88 ± 3.09, < 0.001). The Biomarker Score values were significantly higher than those of CTRL in each of the six subgroups of IF. Posterior probability curves and ROC curve indicated that values of the Biomarker Score clustered CTRL and IF into two distinct groups, based on the individual FF metabolic profile. Furthermore, Biomarker Score values correlated with outcome measures of ovarian stimulation, in vitro fertilization, number and quality of blastocysts, clinical pregnancy, and healthy offspring. These results strongly suggest that the biochemical quality of FF deeply influences not only the effectiveness of IVF procedures but also the following embryonic development up to healthy newborns. The targeted metabolomic analysis of FF (using empowered Redox Energy Test) and the subsequent calculation of the Biomarker Score evidenced a set of 27 low molecular weight infertility biomarkers potentially useful in the laboratory managing of female infertility and to predict the success of assisted reproduction techniques.
据估计,近 40-50%的不孕问题源于女性。尽管之前的研究致力于分析卵泡液(FF)中的代谢物,但得出了相互矛盾的结果,尽管在某些情况下发现了一些有价值的指标,可以区分对照组(CTRL)和不孕女性(IF),并与辅助生殖技术的结果衡量标准相关。在这项研究中,我们对 35 名对照组(CTRL = 仅因男性因素而无法怀孕的患者)和 145 名 IF(受子宫内膜异位症影响,= 19;多囊卵巢综合征,= 14;年龄相关卵巢储备减少,= 58;卵巢储备减少,= 29;不明原因不孕,= 14;遗传不孕,= 11)的盲法 FF 进行了分析,以确定 55 种水溶性和脂溶性低分子量化合物(抗氧化剂、氧化/硝化应激相关化合物、嘌呤、嘧啶、能量相关代谢物和氨基酸)的浓度。结果表明,在 IF 中,有 27/55 种化合物的浓度与在 CTRL 中测量的浓度有显著差异。这些不孕潜在生物标志物的代谢模式(在 CTRL 和 IF 中)累积为生物标志物评分指数(包含 FF 的代谢异常),完全区分了 CTRL(平均生物标志物评分值= 4.00 ± 2.30)和 IF(平均生物标志物评分值= 14.88 ± 3.09,<0.001)。在 IF 的六个亚组中,每个亚组的生物标志物评分值均显著高于 CTRL。后验概率曲线和 ROC 曲线表明,基于个体 FF 代谢谱,生物标志物评分值将 CTRL 和 IF 聚类到两个不同的组中。此外,生物标志物评分值与卵巢刺激、体外受精、囊胚数量和质量、临床妊娠和健康后代的结果衡量标准相关。这些结果强烈表明,FF 的生化质量不仅会影响 IVF 程序的有效性,还会影响随后的胚胎发育直至健康新生儿。对 FF(使用增强型氧化还原能量测试)进行靶向代谢组学分析,并随后计算生物标志物评分,证实了一组 27 种低分子量不孕生物标志物在女性不孕的实验室管理中具有潜在的应用价值,并可预测辅助生殖技术的成功率。