Abstract
Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embryo development, implantation and pregnancy outcomes. Historically, standard semen analysis has not included assessments of DNA integrity, creating a clear need for advanced diagnostic tools. DNA damage can arise through pathways such as apoptosis, oxidative stress and exposure to environmental toxins, all of which compromise reproductive potential. Several methodologies exist for measuring sperm DNA fragmentation, including the sperm chromatin structure assay, terminal deoxynucleotidyl transferase dUTP nick end labelling (TUNEL), the Comet assay and sperm chromatin dispersion, each of which has unique advantages and limitations. Novel automated imaging platforms incorporating machine learning algorithms have emerged, enabling high-throughput, single-sperm assessment and reducing subjectivity associated with manual scoring. Species differences further complicate the understanding of DNA stability and sperm quality, especially in livestock and models of artificial insemination; nonetheless, physiological similarities between humans and species close to humans provide useful translational insights. Emerging sperm selection technologies, including microfluidics, hyaluronic acid affinity systems and magnetic-activated cell sorting, show promise in reducing DNA fragmentation, improving reproductive outcomes and decreasing pregnancy loss. As the field progresses toward increasingly personalized fertility treatments, measures of DNA integrity will remain central to optimizing assisted reproduction success rates across species.