Incorporating sperm DNA fragmentation index with computer-assisted semen morphokinematic parameters as a better window to male fertility.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-05-01 DOI:10.4103/CJP.CJP_12_22
Hsin-Ta Lin, Meng-Hsing Wu, Weng-Ling Wu, Li-Chung Tsai, Yu-Ying Chen, Kuei-Hsiang Hung, Po-Hsuan Wu, Ta-Sheng Chen, Huang-Tz Ou, Yu-Sheng Cheng
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引用次数: 4

Abstract

This study aimed to assess (1) the reproducibility of three sperm chromatin dispersion (SCD) assays for sperm DNA fragmentation, i.e., LensHooke R10® (R10), Halosperm G2® (G2), and BASO® (BA); (2) the correlation between computer-assisted semen analyzer (CASA) morphokinematic parameters and sperm DNA fragmentation index (DFI), and (3) the diagnostic value for male reproduction by combining semen morphokinematic parameters and DFI. Total 50 male participants were recruited, and all collected semen samples underwent semen analyses and SCD assays. Intra- and inter-observer variability of DFI data from different SCD measures was tested. In addition, the predictive ability of CASA parameters and DFI (with different cutoffs, i.e., 15% and 20%) for infertility was assessed using receiver operating characteristic curve analysis. We found that the G2 and R10 produced satisfactory variance coefficients (5.53%, 5.67%) compared to BA (14.8%). The DFI data from the R10 had lower intra-observer variability, in terms of higher intra-class coefficient (0.9615), than that of the G2 (0.8847) or BA (0.8824). Inter-observer variability of three SCD kits in scoring the DFI was comparable and satisfactory (concordance correlation coefficients ranging 0.9895-0.9630). The CASA parameters (i.e., total motility [r = -0.57], progression motility [r = -0.55], and rapidly progressive motility [r = -0.55]) were significantly correlated with DFI (P < 0.001). The predictive ability of the 15%-cutoff DFI data was better than that of the 20%-cutoff or continuous DFI data. The model comprising the CASA parameters, 15%-cutoff DFI, and 4%-cutoff normal morphology had the highest area under curve (0.8125) for infertility. For SCD assay, the R10 was the most reliable SCD assay to detect sperm DNA fragmentation. Combining the sperm DFI with CASA parameters might be a better diagnostic tool for male reproduction.

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将精子DNA碎片化指数与计算机辅助的精液形态运动学参数相结合,可以更好地了解男性生育能力。
本研究旨在评估(1)LensHooke R10®(R10)、Halosperm G2®(G2)和BASO®(BA)三种精子染色质分散(SCD)检测精子DNA片段的可重复性;(2)计算机辅助精液分析仪(CASA)形态运动学参数与精子DNA碎片化指数(DFI)的相关性;(3)精液形态运动学参数与DFI相结合对男性生殖的诊断价值。总共招募了50名男性参与者,所有收集的精液样本都进行了精液分析和SCD分析。测试了不同SCD测量的DFI数据的观察者内部和观察者之间的变异性。此外,通过受试者工作特征曲线分析,评估CASA参数和DFI(不同截止点,即15%和20%)对不孕症的预测能力。我们发现,与BA(14.8%)相比,G2和R10产生了令人满意的方差系数(5.53%,5.67%)。与G2(0.8847)或BA(0.8824)相比,R10的DFI数据具有较低的观察者内变异性,即较高的类内系数(0.9615)。3种SCD试剂盒在DFI评分上的观察者间变异性具有可比性和令人满意(一致性相关系数为0.9895 ~ 0.9630)。CASA参数(即总运动性[r = -0.57]、进展运动性[r = -0.55]和快速进展运动性[r = -0.55])与DFI显著相关(P < 0.001)。临界值为15%的DFI数据的预测能力优于临界值为20%或连续DFI数据。由CASA参数、15%截止点DFI和4%截止点正常形态组成的模型,不孕症的曲线下面积最高(0.8125)。在SCD检测中,R10是检测精子DNA片段最可靠的SCD方法。结合精子DFI和CASA参数可能是诊断男性生殖的较好工具。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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