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优化多种生物标志物的组合,提高男性生育力诊断的准确性。

Optimized combination of multiple biomarkers to improve diagnostic accuracy in male fertility.

机构信息

Department of Animal Science & Technology and BET Research Institute, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea.

Department of Animal Science & Technology and BET Research Institute, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea.

出版信息

Theriogenology. 2019 Nov;139:106-112. doi: 10.1016/j.theriogenology.2019.07.029. Epub 2019 Aug 1.

Abstract

Artificial insemination is the general method of breeding for genetic improvement in offspring. However, almost half of the insemination cases fail to achieve full-term pregnancy, due to male infertility or subfertility. To maximize the success of insemination, accurate semen quality testing is required prior to insemination. Even though basic semen analyses have been used to provide preliminary information, it cannot fully identify the superior or inferior fertility bulls. Therefore, more powerful and easy to use methods for the prediction of male fertility are required, such as proteomic or microarray chips. During past decades, omics approaches have been developed and suggested the numerous fertility-related potential biomarkers. Our previous study identified the fertility related protein markers, enolase1 (ENO1), ATP synthase, H transporting, mitochondrial F1 complex, beta subunit (ATP5B), voltage-dependent anion channel 2 (VDAC2), phospholipid hydroperoxide glutathione peroxide (GPx4), and ubiquinol-cytochrome-c reductase complex core protein 2 (UQCRC2) in bovine spermatozoa. In the present study, we perform a marker combination assay using the western blot data of ENO1, ATP5B, VDAC2, GPx4, and UQCRC2 from 20 individual bull semen samples. And then, we identified the predictive ability of these markers for normal (non-return rate (NRR) ≥ 70%) and normal fertility (NRR<70%) in bulls. ENO1, a single protein marker, achieved an area under the curve (AUC) of 0.86 and 90% discriminatory power between normal and below-normal fertility bulls, with 90% sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Although no meaningful changes existed in overall accuracy (70-85%) to discriminate the normal and below-normal fertility between ENO1 single marker and combined marker panels, multiple marker combination methods using ENO1, VDAC2, GPx4, and UQCRC2 provided absolute sensitivity and NPV, with higher specificity (70%) and PPV (77%). ENO1 can be used as a fertility marker candidate, but there were limitations for providing absolute information about normal and below-normal fertility. Although the combined use of fertility-related markers cannot provide absolute accuracy, it can help in indicating below-normal fertility in bulls. These results may contribute to the maintenance cost in the animal industry, via selection of bulls with inferior fertility.

摘要

人工授精是遗传改良后代的常用繁殖方法。然而,由于男性不育或生殖能力低下,几乎有一半的授精案例未能实现足月妊娠。为了最大限度地提高授精成功率,需要在授精前进行准确的精液质量检测。尽管已经使用基本的精液分析来提供初步信息,但它不能完全识别优秀或较差的繁殖公牛。因此,需要更强大且易于使用的方法来预测男性生育能力,例如蛋白质组学或微阵列芯片。在过去的几十年中,已经开发了组学方法,并提出了许多与生育能力相关的潜在生物标志物。我们之前的研究确定了与生育能力相关的蛋白质标记物,烯醇酶 1(ENO1)、ATP 合酶、H 转运、线粒体 F1 复合物、β亚基(ATP5B)、电压依赖性阴离子通道 2(VDAC2)、磷脂氢过氧化物谷胱甘肽过氧化物酶 (GPx4) 和泛醌细胞色素 c 还原酶核心蛋白 2 (UQCRC2) 在牛精子中。在本研究中,我们使用 20 个个体公牛精液样本的 ENO1、ATP5B、VDAC2、GPx4 和 UQCRC2 的 Western blot 数据进行标记组合检测。然后,我们确定了这些标记物对公牛正常(返情率(NRR)≥70%)和正常生育力(NRR<70%)的预测能力。单一蛋白质标记物 ENO1 的曲线下面积(AUC)为 0.86,在正常和低于正常生育力公牛之间具有 90%的区分能力,灵敏度为 90%,特异性、阳性预测值(PPV)和阴性预测值(NPV)均为 90%。尽管 ENO1 单一标记物和组合标记物组合方法在区分正常和低于正常生育力方面的整体准确性(70-85%)没有明显变化,但使用 ENO1、VDAC2、GPx4 和 UQCRC2 的多种标记物组合方法提供了绝对灵敏度和 NPV,具有更高的特异性(70%)和 PPV(77%)。ENO1 可以用作生育力标记物候选物,但在提供正常和低于正常生育力的绝对信息方面存在局限性。尽管与生育能力相关的标记物的联合使用不能提供绝对准确性,但它可以帮助指示公牛的低于正常生育力。这些结果可能有助于通过选择生育能力较低的公牛来降低动物产业的维护成本。

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