A new enrichment diagnostic platform for semen culture
| Autor: | Francesca Bombace, Mariateresa Vitiello, Fortunato Montella, Virginia D'Oriano, Michele De Rosa, Francesca Martora, Chiara Del Vecchio, Marilena Galdiero, Maria Rosaria Iovene |
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| Přispěvatelé: | Iovene, M. R., Martora, F., Bombace, F., Montella, F., Del Vecchio, C., De Rosa, M., D'Oriano, V., Galdiero, M., Vitiello, M., Iovene, Maria Rosaria, Martora, Francesca, Bombace, Francesca, Montella, Fortunato, Del Vecchio, Chiara, DE ROSA, Michele, D'Oriano, Virginia, Galdiero, Marilena, Vitiello, Mariateresa |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Infertility Male Microbiology (medical) Semen culture Semen Urine Sensitivity and Specificity Microbiology Specimen Handling Andrology 03 medical and health sciences 0302 clinical medicine Culture Techniques Medicine Humans Molecular Biology Brain-heart Infusion broth Retrospective Studies 030219 obstetrics & reproductive medicine Bacteria BHI enrichment business.industry Bacterial Infections medicine.disease Predictive value Standard technique 030104 developmental biology Infectious disease (medical specialty) business |
| Popis: | Urogenital bacterial infections have been described in literature as a potential cause of infertility. For the consequences that a failure in diagnosis could have on the evolution of male urogenital infectious disease, an accurate microbiological procedure to investigate the bacterial species composition of seminal fluid plays a crucial role to better understand the eventual correlation with infertility. In order to improve the quality of semen culture investigations, we have developed a new enrichment diagnostic platform. Semen samples of 540 infertile men were simultaneously analyzed using the standard microbiological semen culture method and an alternative new experimental technique (Brain Heart Infusion broth, BHI, enrichment). Our results established the possibility to apply BHI enrichment to detect bacteria from semen samples with higher sensitivity (100%) and negative predictive value (100%) than the standard technique. |
| Databáze: | OpenAIRE |
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