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Innovative Approach for Human Semen Quality Assessment Based on Volatilomics

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Title: Innovative Approach for Human Semen Quality Assessment Based on Volatilomics
Authors: Simonetta Capone, Angiola Forleo, Antonio Vincenzo Radogna, Valentina Longo, Giulia My, Alessandra Genga, Alessandra Ferramosca, Giuseppe Grassi, Flavio Casino, Pietro Siciliano, Tiziana Notari, Sebastiana Pappalardo, Marina Piscopo, Luigi Montano
Source: Toxics, Vol 12, Iss 8, p 543 (2024)
Publisher Information: MDPI AG, 2024.
Publication Year: 2024
Collection: LCC:Chemical technology
Subject Terms: semen quality, human exposome, volatilomics, GC/MS, Chemical technology, TP1-1185
More Details: The volatilome profile of some biofluids (blood, urine, and human semen) identified by Solid-Phase Microextraction–Gas Chromatography/Mass Spectrometry (SPME-GC/MS) and collected from young men living in two high-pollution areas in Italy, i.e., Land of Fires and Valley of Sacco River, have been coupled to sperm parameters obtained by spermiogram analysis to build general multiple regression models. Panels of volatile organic compounds (VOCs) have been selected to optimize the models and used as predictive variables to estimate the different sperm quality parameters (sperm cell concentration, total and progressive motility/immotile cells, total/head/neck/tail morphology anomalies, semen round cell concentration). The results of the multiple linear regression models based on the different subgroups of data joining VOCs from one/two or three biofluids have been compared. Surprisingly, the models based on blood and urine VOCs have allowed an excellent estimate of spermiogram values, paving the way towards a new method of indirect evaluation of semen quality and preventive screening. The significance of VOCs in terms of toxicity and dangerousness was discussed with the support of chemical databases available online.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 12080543
2305-6304
Relation: https://www.mdpi.com/2305-6304/12/8/543; https://doaj.org/toc/2305-6304
DOI: 10.3390/toxics12080543
Access URL: https://doaj.org/article/0ef24e10e2c847e0a0bacda8284cc9a3
Accession Number: edsdoj.0ef24e10e2c847e0a0bacda8284cc9a3
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  Data: Innovative Approach for Human Semen Quality Assessment Based on Volatilomics
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  Data: <searchLink fieldCode="AR" term="%22Simonetta+Capone%22">Simonetta Capone</searchLink><br /><searchLink fieldCode="AR" term="%22Angiola+Forleo%22">Angiola Forleo</searchLink><br /><searchLink fieldCode="AR" term="%22Antonio+Vincenzo+Radogna%22">Antonio Vincenzo Radogna</searchLink><br /><searchLink fieldCode="AR" term="%22Valentina+Longo%22">Valentina Longo</searchLink><br /><searchLink fieldCode="AR" term="%22Giulia+My%22">Giulia My</searchLink><br /><searchLink fieldCode="AR" term="%22Alessandra+Genga%22">Alessandra Genga</searchLink><br /><searchLink fieldCode="AR" term="%22Alessandra+Ferramosca%22">Alessandra Ferramosca</searchLink><br /><searchLink fieldCode="AR" term="%22Giuseppe+Grassi%22">Giuseppe Grassi</searchLink><br /><searchLink fieldCode="AR" term="%22Flavio+Casino%22">Flavio Casino</searchLink><br /><searchLink fieldCode="AR" term="%22Pietro+Siciliano%22">Pietro Siciliano</searchLink><br /><searchLink fieldCode="AR" term="%22Tiziana+Notari%22">Tiziana Notari</searchLink><br /><searchLink fieldCode="AR" term="%22Sebastiana+Pappalardo%22">Sebastiana Pappalardo</searchLink><br /><searchLink fieldCode="AR" term="%22Marina+Piscopo%22">Marina Piscopo</searchLink><br /><searchLink fieldCode="AR" term="%22Luigi+Montano%22">Luigi Montano</searchLink>
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  Data: Toxics, Vol 12, Iss 8, p 543 (2024)
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  Data: MDPI AG, 2024.
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  Data: 2024
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  Data: LCC:Chemical technology
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  Data: <searchLink fieldCode="DE" term="%22semen+quality%22">semen quality</searchLink><br /><searchLink fieldCode="DE" term="%22human+exposome%22">human exposome</searchLink><br /><searchLink fieldCode="DE" term="%22volatilomics%22">volatilomics</searchLink><br /><searchLink fieldCode="DE" term="%22GC%2FMS%22">GC/MS</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+technology%22">Chemical technology</searchLink><br /><searchLink fieldCode="DE" term="%22TP1-1185%22">TP1-1185</searchLink>
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  Data: The volatilome profile of some biofluids (blood, urine, and human semen) identified by Solid-Phase Microextraction–Gas Chromatography/Mass Spectrometry (SPME-GC/MS) and collected from young men living in two high-pollution areas in Italy, i.e., Land of Fires and Valley of Sacco River, have been coupled to sperm parameters obtained by spermiogram analysis to build general multiple regression models. Panels of volatile organic compounds (VOCs) have been selected to optimize the models and used as predictive variables to estimate the different sperm quality parameters (sperm cell concentration, total and progressive motility/immotile cells, total/head/neck/tail morphology anomalies, semen round cell concentration). The results of the multiple linear regression models based on the different subgroups of data joining VOCs from one/two or three biofluids have been compared. Surprisingly, the models based on blood and urine VOCs have allowed an excellent estimate of spermiogram values, paving the way towards a new method of indirect evaluation of semen quality and preventive screening. The significance of VOCs in terms of toxicity and dangerousness was discussed with the support of chemical databases available online.
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  Data: https://www.mdpi.com/2305-6304/12/8/543; https://doaj.org/toc/2305-6304
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  Data: 10.3390/toxics12080543
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