瑞士小鼠生殖终点间的关系——基于连续繁育数据库的生殖评估

Robert E. Chapin , Richard A. Sloane , Joseph K. Haseman
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摘要

对连续繁殖小鼠研究数据库进行评估,以确定生殖功能指标(幼鼠测量)与雄性和雌性收集的各种尸检终点之间的关系。在研究的72种化学物质中,33项研究中男性和女性都受到影响,而7项研究中女性和/或孕妇受到影响。两种化合物仅影响男性,17项研究为阴性,在13项有影响的研究中,无法明确确定受影响的性别。母鼠体重越大,每窝幼仔质量越高;这种关系在第一窝最强,在第五窝最弱。对于两代雌性(f0和F1),发情周期较长与幼崽数量减少相关;这种关系在雌性中比雌性中更强,而在对照组中没有发现。实验组小鼠的精子参数分布与对照组小鼠不同。如果有>~ 15%精子异常或精子活力(移动/不移动)为<≈37%。这两种关系似乎都有阈值。然而,治疗动物的附睾精子数量与生育能力呈线性相关,即使在控制范围内,这强烈表明其他因素也很重要。同时使用处理和对照数据,结合精子数量和活力可以解释生育能力的变化(r= 0.77);形态学的添加没有显著提高相关性。在计数和形态学上,模型几乎一样强,在这种情况下,增加运动性并没有增强模型。这些研究的分析表明,虽然一些终点(例如,随机发情周期点卵巢重量)与生育能力相关性较差,但其他尸检终点(附睾精子数量和活力、发情周期长度、睾丸和附睾重量)可以作为整体生殖功能的有用(尽管不完整)替代品。事实上,在许多研究中,接受治疗的动物的附睾精子数量与生育能力密切相关,即使少量减少(约20%)也会导致生育能力下降,这表明小鼠可能比以前认为的更适合作为人类生育能力的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationships among Reproductive Endpoints in Swiss Mice, Using the Reproductive Assessment by Continuous Breeding Database

The database of Continuous Breeding mouse studies was evaluated to determine the relationships between the functional indicators of reproduction (pup measures) and the various necropsy endpoints collected for males and females. Of 72 chemicals studied, both males and females were affected in 33 studies, while females and/or conceptuses were affected in 7. Two compounds affected only males, 17 studies were negative, and in 13 studies with effects it was not possible to clearly determine the affected gender(s). Greater F0dam weight was correlated with increased pup mass per litter; this relationship was strongest for the first litter, and weakest for the fifth litter. For both generations of treated females (F0and F1), longer estrous cycles correlated with reduced numbers of pups; the relationship was stronger in F0than in F1females and was not seen in controls. Sperm parameters had different distributions in treated mice than in control mice. Fertility (total live pups/number of pairs cohabited) was reduced if there were > ∼15% sperm abnormalities or if sperm motility (moving/not moving) was < ≈37%. Both of these relationships appeared to have thresholds. Epididymal sperm count in treated animals, however, was linearly related to fertility, even within the control range, suggesting strongly that other factors are important. Using both treated and control data together, combining sperm count with motility could explain much (r= 0.77) of the variation in fertility; adding morphology did not significantly improve the correlation. The model was almost as strong using count and morphology, in which case adding motility did not strengthen the model. This analysis of these studies shows that while some endpoints (e.g., random-estrous-cycle-point ovary weight) correlate poorly with fertility, other necropsy endpoints (epididymal sperm count and motility, estrous cycle length, and testis and epididymal weights) can be useful (though not complete) surrogates of overall reproductive function. Indeed, over many studies, epididymal sperm count in treated animals correlates with fertility so well that even small reductions (≈20%) in count result in reduced fertility, suggesting that mice may be better models of human fertility than was previously believed.

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