Yasser Omar Dalle, Andre Marantes Masciarelli Pinto, Milton Ghirelli Filho, Marcello Machado Gava, Bruna Bizio Parra de Oliveira, Ivan Henrique Yoshida, Caio Parente Barbosa, Sidney Glina
JBRA Assist. Reprod. - Advanced View
Received May 03, 2026
Accepted May 05, 2026
Abstract
Objective: To investigate is to investigate the correlation between sperm DNA fragmentation (SDF) and motility parameters, aiming to enhance the understanding of male infertility factors and improve diagnostic approaches.
Design: Retrospective observational study in a single andrology center in Brazil.
Patients: A total of 590 semen samples from men aged 18–50 years undergoing routine fertility assessments between August 2021 to February 2024.
Main Outcome Measure(s): Sperm DNA fragmentation assessed by the Sperm Chromatin Dispersion test and motility parameters evaluated according to WHO guidelines. Total motile sperm count (TMSC) was calculated. Statistical correlations between SDF, motility parameters, and TMSC were analyzed.
Results: The mean SDF value was 23.5%. Pearsons correlation revealed a moderate negative correlation between SDF and rapid progressive motility (rho = -0.XX, p < 0.05), and a moderate positive correlation with the percentage of immotile sperm. Samples were categorized into three groups based on SDF (<20%, 20–30%, >30%). Significant differences in MPR, immotility, and sperm morphology were found between groups with normal and altered SDF (p < 0.01). Higher DNA fragmentation was associated with lower TMSC and reduced sperm motility, while immotility increased with SDF. These findings support an inverse relationship between sperm DNA integrity and motility parameters.
Conclusion: This study demonstrates a significant inverse correlation between sperm DNA fragmentation and motility, highlighting SDF as a potential key parameter in male fertility assessment. Incorporating DNA fragmentation analysis alongside conventional semen parameters may improve infertility diagnostics. Further prospective studies are warranted to assess the impact of these correlations on reproductive outcomes.