Abstract
Infertility is one of principal health and social problems of this century. Male factors are involved in half of the cases and often the alteration concerns sperm motility. Seminogram is the gold standard technique for semen analysis, but it presents several limits. For this reason, we propose a new method for discriminating asthenozoospermic samples (low sperm motility) from normozoospermic ones (progressive motility > 32%) based on the never explored analysis of the volatile metabolites in the headspace of human semen sample by Gas Chromatograph (GC) equipped with two detectors: a Mass Spectrometer (MS) and a metal oxide based gas sensor sensitive (MOX) to Volatile Organic Compounds (VOCs). VOC sensor signal profiles (resistance vs. time) showed a higher sensitivity to specific organic classes such as aldehydes and ketones. The sensorgrams were preprocessed and analysed by PLS-DA. The results showed that sensorgrams analysis by suitable bioinformatics techniques has a good discrimination power and could support physiological parameters in human semen assessment. The analysis of the human semen Volatilome may be a proof-of-concept for the development of a novel micro-GC device with a sensor array detector, a potential candidate for infertility assessment in clinical practice.
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References
Rowe, P.J., Comhaire, F.H.: WHO Manual for the Standardized Investigation and Diagnosis of the Infertile Male. Cambridge University Press (2000)
Inhorn, M.C., Patrizio, P.: Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century. Hum. Reprod. Update 21(4), 411–426 (2015)
WHO: WHO Laboratory Manual for the Examination and Processing of Human Semen. 5th edn. Cambridge University Press (2010)
Bieniek, J.M., Drabovich, A.P., Lo, K.C.: Seminal biomarkers for the evaluation of male infertility. Asian J. Androl. 18(3), 426–433 (2016). https://doi.org/10.4103/1008-682X.175781
Amann, A., De Lacy Costello, B., Miekisch, W., Schubert, J., Buszewski, B., Pleil, J., Ratcliffe, N., Risby, T.: The human volatilome: volatile organic compounds (VOCs) in exhaled breath, skin emanations, urine, feces and saliva. J. Breath Res. 8(3), 034001 (2014). https://doi.org/10.1088/1752-7155/8/3/034001
Capone, S., Tufariello, M., Forleo, A., Longo, V., Giampetruzzi, L., Radogna, A.V., Casino, F., Siciliano, P.: Chromatographic analysis of VOC patterns in exhaled breath from smokers and nonsmokers. Biomed. Chromatogr. 32(4) (2017). https://doi.org/10.1002/bmc.4132
Aitken, R.J., Henkel, R.R.: Sperm cell biology: current perspectives and future prospects. Asian J Androl. 13(1), 3–5 (2011)
Kovac, J.R., Pastuszak, A.W., Lamb, D.J.: The use of genomics, proteomics, and metabolomics in identifying biomarkers of male infertility. Fertil. Steril. 99(4), 998–1007 (2013)
Costello, B.D., Amann, A., Al-Kateb, H., Flynn, C., Filipiak, W., Khalid, T., Osborne, D,. Ratcliffe, N.M: A review of the volatiles from the healthy human body. J. Breath Res. 8(1) (2014)
Gromski, P.S., Muhamadali, H., Ellis, D.I., Xu, Y., Correa, E., Turner, M.L., Goodacre, R.: Metabolomics and partial least squares-discriminant analysis—a marriage of convenience or a shotgun wedding. Anal. Chim. Acta 879, 10–23 (2015)
Weber, C.M., Cauchi, M., Patel, M., Bessant, C., Turner, C., Britton, L.E., Willis, C.M.: Evaluation of a gas sensor array and pattern recognition for the identification of bladder cancer from urine headspace. Analyst 136(2), 359–64 (2011). https://doi.org/10.1039/c0an00382d
Acknowledgements
The authors would like to thank Dott. Luigi Montano, coordinator of “EcoFood-Fertility”, for scientific support.
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Longo, V. et al. (2019). Characterization of Human Semen by GC-MS and VOC Sensor: An Unexplored Approach to the Study on Infertility. In: Andò, B., et al. Sensors. CNS 2018. Lecture Notes in Electrical Engineering, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-030-04324-7_63
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DOI: https://doi.org/10.1007/978-3-030-04324-7_63
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