Alba Fernandez-Encinas1, Agustí García-Peiró2, Jordi Ribas-Maynou1, Carlos Abad3, María José Amengual4, Joaquima Navarro1, Jordi Benet5. 1. Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Bellaterra, Spain. 2. Centro de Infertilidad Masculina y Análisis de Barcelona, Universitat Autònoma de Barcelona, Bellaterra, Spain. 3. Servei d'Urologia, Corporació Sanitària Parc Taulí, Sabadell, Institut Universitari Parc Taulí-Universitat Autònoma de Barcelona, Sabadell, Spain. 4. UDIAT, Centre Diagnòstic, Corporació Sanitària Parc Taulí, Sabadell, Institut Universitari Parc Taulí-Universitat Autònoma de Barcelona, Sabadell, Spain. 5. Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Bellaterra, Spain. Electronic address: jordi.benet@uab.cat.
Abstract
PURPOSE: Some studies have shown that complementary biomarkers are needed in semen analysis to provide a more accurate diagnosis for couples with infertility problems. To our knowledge no study has been done to determine the relationships among nuclease activity in seminal plasma, semen parameters, sperm DNA fragmentation and male infertility. MATERIALS AND METHODS: A total of 94 semen samples were collected according to WHO 2010 semen analysis parameters. Samples were analyzed using the single radial enzyme diffusion method for nuclease activity in seminal plasma, and alkaline and neutral Comet assay for sperm DNA fragmentation. Samples were obtained from 11 fertile donors with proven fertility, 17 patients with normozoospermia in an infertile couple, and 16 patients with asthenozoospermia, 19 with teratozoospermia, 21 with asthenoteratozoospermia and 10 with azoospermia. RESULTS: Nuclease activity analyzed in seminal plasma was higher in patients than in controls. It correlated with sperm motility and morphology, and sperm DNA fragmentation measured by the alkaline Comet assay. No correlation with sperm DNA fragmentation was measured by the neutral Comet assay. ROC curves to determine male infertility revealed 0.658 sensitivity, 0.727 specificity and 0.705 cm(2) AUC for the single radial enzyme diffusion method, 0.918, 1 and 0.994 cm(2) for the alkaline Comet assay, and 0.917, 0.250 and 0.373 cm(2), respectively, for the neutral Comet assay. CONCLUSIONS: Nuclease activity in seminal plasma corrected by sperm count is a good variable to predict male infertility. Results indicate that it could be a useful complementary parameter for male infertility diagnosis.
PURPOSE: Some studies have shown that complementary biomarkers are needed in semen analysis to provide a more accurate diagnosis for couples with infertility problems. To our knowledge no study has been done to determine the relationships among nuclease activity in seminal plasma, semen parameters, sperm DNA fragmentation and male infertility. MATERIALS AND METHODS: A total of 94 semen samples were collected according to WHO 2010 semen analysis parameters. Samples were analyzed using the single radial enzyme diffusion method for nuclease activity in seminal plasma, and alkaline and neutral Comet assay for sperm DNA fragmentation. Samples were obtained from 11 fertile donors with proven fertility, 17 patients with normozoospermia in an infertile couple, and 16 patients with asthenozoospermia, 19 with teratozoospermia, 21 with asthenoteratozoospermia and 10 with azoospermia. RESULTS: Nuclease activity analyzed in seminal plasma was higher in patients than in controls. It correlated with sperm motility and morphology, and sperm DNA fragmentation measured by the alkaline Comet assay. No correlation with sperm DNA fragmentation was measured by the neutral Comet assay. ROC curves to determine male infertility revealed 0.658 sensitivity, 0.727 specificity and 0.705 cm(2) AUC for the single radial enzyme diffusion method, 0.918, 1 and 0.994 cm(2) for the alkaline Comet assay, and 0.917, 0.250 and 0.373 cm(2), respectively, for the neutral Comet assay. CONCLUSIONS: Nuclease activity in seminal plasma corrected by sperm count is a good variable to predict male infertility. Results indicate that it could be a useful complementary parameter for male infertility diagnosis.