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精子何时会影响受精成功率?13632个配对卵母细胞捐赠周期中,卵胞浆内单精子注射后与精子相关的受精不良发生率。

When does sperm impact fertilization success? The incidence of sperm-related poor fertilization after ICSI in 13 632 matched oocyte donation cycles.

作者信息

Torra-Massana Marc, Morse Brittany, Miguel-Escalada Irene, Guillén Juan José, Rodriquez-Aranda Amelia, Popovic Mina, Sakkas Denny

机构信息

Clínica Eugin, Barcelona 08006, Spain.

Boston IVF-IVIRMA Global Research Alliance, Waltham, MA 02493, USA.

出版信息

Hum Reprod. 2025 Aug 5. doi: 10.1093/humrep/deaf152.

Abstract

STUDY QUESTION

What is the true incidence of male factor-related poor fertilization in ICSI cycles when analyzed using a matched oocyte donation model to investigate the influence of sperm-related factors on fertilization outcomes?

SUMMARY ANSWER

In ICSI cycles with donor oocytes, male factor-related poor fertilization occurs in 3.1% of cases and contributes to 84.1% of all poor fertilization outcomes (≤30% fertilization rate).

WHAT IS KNOWN ALREADY

Opting for oocyte donation is a complex decision for couples, involving significant financial and long-term considerations. This decision is typically driven by presumed female infertility, as male fertility diagnostics remain limited. While ICSI is a highly effective treatment, cases of poor or complete fertilization failure can still occur, even when sperm parameters appear normal. This suggests the presence of unidentified male-related factors. However, the precise incidence of these factors remains poorly understood. This study aims to address this gap, offering a unique perspective, by employing a matched oocyte donation model to investigate the influence of sperm-related factors on fertilization outcomes.

STUDY DESIGN, SIZE, DURATION: This retrospective cohort study analyzed 13 632 oocyte donation ICSI cycles, derived from 7455 controlled ovarian stimulations of 2963 unique oocyte donors. The data were obtained from a single center from January 2015 to December 2022. Sibling oocytes (n ≥ 5) from each oocyte donor were utilized for at least two different recipients, allowing comparisons under varying paternal conditions.

PARTICIPANTS/MATERIALS, SETTING, METHODS: Cases from the same oocyte lot with poor (≤30%) and high (>65%) fertilization rates were matched to isolate sperm-related factors influencing fertilization success. Paired t-tests were used to compare outcomes. Ordinary least squares regression was used to isolate variables associated with poor fertilization, such as oocyte status (fresh vs vitrified), sperm origin (partner vs donor) and cases involving severely altered semen parameters, defined as a sperm concentration of <1 million/mL and/or <1% progressive motility.

MAIN RESULTS AND THE ROLE OF CHANCE

The mean fertilization rate was 72.7% across all analyzed cycles. The incidence of poor fertilization (≤30% fertilization rate) was found to be 3.7% across the entire cohort (510 out of 13 632 cycles). Of the ≤30% fertilization rate cases, 84.1% (429/510) could be matched to cases using the same oocyte lot with high fertilization rates (>65%) in other recipient cycles (n = 1373), indicating that poor fertilization was male-related. We observed a small but significant difference in the number of inseminated oocytes between matched cases with high and poor fertilization (7.41 ± 1.40 and 7.18 ± 1.29, P = 0.0025). As expected, given the group stratification, the mean number of normally fertilized oocytes (6.10 ± 1.35 vs 1.44 ± 0.77, P < 0.001) and mean fertilization rates (83% vs 20%, P < 0.001) differed significantly, among the two groups. Notably, oocyte vitrification negatively affected fertilization outcomes (coeff. -0.0817, P < 0.001). Most poor fertilization cases (95.5%) occurred in the absence of these factors, underscoring the limitations of conventional semen diagnosis tests in accurately predicting poor fertilization outcomes. Across the entire cohort, male factor alone accounted for 3.1% (429/13 632) of cycles with poor, (≤30%, fertilization rates) and 0.4% (59/13 632) of cycles with severely poor fertilization (≤10% fertilization rates).

LIMITATIONS, REASONS FOR CAUTION: Certain variables were not analyzed due to the retrospective nature and extended timeframe of the study. The matched oocyte model may overlook certain non-male factor-related instances of poor fertilization, such as procedural or technical issues.

WIDER IMPLICATIONS OF THE FINDINGS

This extensive analysis emphasizes the clinical relevance of male factor in fertilization outcomes, highlighting the need for improved semen diagnosis. It also indicates the importance of considering male-related factors in treatment decisions and shifting the focus from female-centric to more balanced fertility evaluations.

STUDY FUNDING/COMPETING INTEREST(S): None.

TRIAL REGISTRATION NUMBER

N/A.

摘要

研究问题

在使用配对卵母细胞捐赠模型分析精子相关因素对受精结果的影响时,ICSI周期中男性因素导致的受精不良的真实发生率是多少?

总结答案

在使用捐赠者卵母细胞的ICSI周期中,男性因素导致的受精不良发生率为3.1%,占所有受精不良结果(受精率≤30%)的84.1%。

已知信息

选择卵母细胞捐赠对夫妇来说是一个复杂的决定,涉及重大的经济和长期考量。这一决定通常由假定的女性不育驱动,因为男性生育力诊断方法仍然有限。虽然ICSI是一种高效的治疗方法,但即使精子参数看似正常,仍可能出现受精不良或完全受精失败的情况。这表明存在尚未明确的男性相关因素。然而,这些因素的确切发生率仍知之甚少。本研究旨在通过采用配对卵母细胞捐赠模型来研究精子相关因素对受精结果的影响,填补这一空白,提供独特的视角。

研究设计、规模、持续时间:这项回顾性队列研究分析了13632个卵母细胞捐赠ICSI周期,这些周期来自2963名独特卵母细胞捐赠者的7455次控制性卵巢刺激。数据来自2015年1月至2022年12月的一个单一中心。每个卵母细胞捐赠者的同胞卵母细胞(n≥5)被用于至少两名不同的受者,以便在不同的父方条件下进行比较。

参与者/材料、设置、方法:将同一批卵母细胞中受精率低(≤30%)和高(>65%)的病例进行配对,以分离影响受精成功的精子相关因素。使用配对t检验比较结果。采用普通最小二乘法回归来分离与受精不良相关的变量,如卵母细胞状态(新鲜与玻璃化)、精子来源(伴侣精子与捐赠者精子)以及涉及精液参数严重改变的病例,精液参数严重改变定义为精子浓度<100万/mL和/或前向运动率<1%。

主要结果及机遇的作用

所有分析周期的平均受精率为72.7%。在整个队列中,受精不良(受精率≤30%)的发生率为3.7%(13632个周期中有510个)。在受精率≤30%的病例中,84.1%(429/510)可以与其他受者周期中使用同一批卵母细胞且受精率高(>65%)的病例(n=1373)配对,这表明受精不良与男性因素有关。我们观察到受精率高和低的配对病例之间,受精的卵母细胞数量存在微小但显著的差异(7.41±1.40 和 7.18±1.29,P=0.0025)。正如预期的那样,考虑到分组情况,两组之间正常受精的卵母细胞平均数量(6.10±1.35 对 1.44±0.77,P<0.001)和平均受精率(83%对 20%,P<0.001)有显著差异。值得注意的是,卵母细胞玻璃化对受精结果有负面影响(系数 -0.0817,P<0.001)。大多数受精不良病例(95.5%)发生在不存在这些因素的情况下,这凸显了传统精液诊断测试在准确预测受精不良结果方面的局限性。在整个队列中,仅男性因素导致受精率低(≤30%)的周期占3.1%(429/13632),受精率极低(≤10%)的周期占0.4%(59/13632)。

局限性、谨慎理由:由于研究的回顾性性质和较长的时间范围,某些变量未进行分析。配对卵母细胞模型可能会忽略某些与非男性因素相关的受精不良情况,如操作或技术问题。

研究结果的更广泛影响

这项广泛的分析强调了男性因素在受精结果中的临床相关性,突出了改进精液诊断的必要性。它还表明在治疗决策中考虑男性相关因素的重要性,并将重点从以女性为中心转向更平衡的生育力评估。

研究资金/利益冲突:无。

试验注册号

无。

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