Kuroda Shinnosuke, Karna Keshab Kumar, Kaiyal Raneen Sawaid, Cannarella Rossella, Lundy Scott D, Vij Sarah C, Agarwal Ashok
Department of Urology, Glickman Urological & Kidney Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Andrology. 2023 Nov;11(8):1581-1592. doi: 10.1111/andr.13436. Epub 2023 Apr 11.
Sperm chromatin dispersion test is a common and inexpensive technique to assess sperm DNA fragmentation, but its subjectivity in assessing a small number of spermatozoa is a disadvantage.
To study the efficacy of a new sperm chromatin dispersion test kit (R10) combined with an artificial intelligence-aided halo-evaluation platform (X12) and compare the results to those of existing sperm DNA fragmentation testing methods.
Semen samples from normozoospermic donors (n = 10) and infertile men with abnormal semen parameters (n = 10) were enrolled. DNA fragmentation indices were examined by multiple assays, including R10, Halosperm G2 (G2), sperm chromatin structure assay, and terminal deoxynucleotidyl transferase deoxynucleotidyl transferase nick end labeling. In R10 assay, the DNA fragmentation indices were obtained both manually (manual R10) and by X12 (AI-R10). The obtained DNA fragmentation indices were analyzed by agreement analyses.
The DNA fragmentation indices obtained by manual R10 and those obtained by AI-R10 showed a strong significant correlation (r = 0.97, p < 0.001) and agreement. The number of spermatozoa evaluated by AI-R10 was 2078 (680-5831). The DNA fragmentation indices obtained by manual R10 and AI-R10 both correlated with those of G2 (r = 0.90, p < 0.001; r = 0.88, p < 0.001). Between the AI-R10 and G2 results, Passing-Bablok regression showed no systematic or proportional difference, and Bland-Altman plots revealed overall agreement and a mean bias of 6.3% with an SD of 6.9% (95% limit of agreement: -7.2% to 19.9%). AI-R10 and sperm chromatin structure assays showed systematic differences with a mean bias of -1.9%, while AI-R10 and terminal deoxynucleotidyl transferase deoxynucleotidyl transferase nick end labeling revealed proportional differences with a mean bias of -10.7%.
The novel sperm chromatin dispersion kit and artificial intelligence-aided platform demonstrated significant correlation and agreement with existing sperm chromatin dispersion methods by assessing greater number of spermatozoa. This technique has the potential to provide a rapid and accurate assessment of sperm DNA fragmentation without technical expertise or flow cytometry.
精子染色质扩散试验是一种常用且成本低廉的评估精子DNA片段化的技术，但其在评估少量精子时的主观性是一个缺点。
研究一种新型精子染色质扩散试剂盒（R10）与人工智能辅助晕圈评估平台（X12）联合使用的效果，并将结果与现有精子DNA片段化检测方法的结果进行比较。
纳入正常精子捐献者（n = 10）和精液参数异常的不育男性（n = 10）的精液样本。通过多种检测方法检查DNA片段化指数，包括R10、Halosperm G2（G2）、精子染色质结构分析和末端脱氧核苷酸转移酶脱氧核苷酸缺口末端标记。在R10检测中，通过手动（手动R10）和X12（AI-R10）获得DNA片段化指数。对获得的DNA片段化指数进行一致性分析。
手动R10获得的DNA片段化指数与AI-R10获得的指数显示出强烈的显著相关性（r = 0.97，p < 0.001）和一致性。AI-R10评估的精子数量为2078（680 - 5831）。手动R10和AI-R10获得的DNA片段化指数均与G2的指数相关（r = 0.90，p < 0.001；r = 0.88，p < 0.001）。在AI-R10和G2结果之间，Passing-Bablok回归显示无系统或比例差异，Bland-Altman图显示总体一致性，平均偏差为6.3%，标准差为6.9%（95%一致性界限：-7.2%至19.9%）。AI-R10与精子染色质结构分析显示有系统差异，平均偏差为-1.9%，而AI-R10与末端脱氧核苷酸转移酶脱氧核苷酸缺口末端标记显示有比例差异，平均偏差为-10.7%。
新型精子染色质扩散试剂盒和人工智能辅助平台通过评估更多数量的精子，与现有的精子染色质扩散方法显示出显著的相关性和一致性。该技术有潜力在无需专业技术知识或流式细胞术的情况下，快速准确地评估精子DNA片段化。
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