Refining the seminal biomarker detection: metabolome profiles before and after the liquefaction procedure
Metadatos
Afficher la notice complèteEditorial
Elsevier
Materia
Biomarker Male infertility Metabolite Metabolome Semen quality 
Date
2025-07Referencia bibliográfica
Tenorio, C. M., Molina, N. M., Castilla, J. A., Rodríguez-Guirado, S., Méndez, R., Fernández-Godino, R., Altmäe, S., & Díaz, C. (2025). Refining the seminal biomarker detection: metabolome profiles before and after the liquefaction procedure. Reproductive Biomedicine Online, 51(1), 104856. https://doi.org/10.1016/j.rbmo.2025.104856
Patrocinador
MICIU/AEI/ - FEDER, EU (PID2021-12728OB-100, CNS2022-135999); MCIN/AEI/ - ESF (Grant FPU23/01576); Metabolomics Workbench/National Metabolomics Data Repository (grant no. U2CDK119886); Common Fund Data Ecosystem (CFDE) (grant no. 3OT2OD030544); Metabolomics Consortium Coordinating Center (M3C) (grant no. 1U2C-DK119889).Résumé
Research question: Should seminal metabolites be analysed from fresh ejaculate or after liquefaction to establish a protocol for
biomarker discovery?
Design: Semen samples were collected from 15 healthy donors, with two aliquots obtained for each donor, one before and one
after the liquefaction process, resulting in total of 30 samples for analysis. Non-targeted metabolomics analysis was conducted
using liquid chromatographyhigh-resolution mass spectrometry on these paired samples. Data quality was assessed using
MarkerView software. Metabolites were identified using the 2021 NIST Mass Spectral Library, PeakView, CEU Mass Mediator and
Sirius software.
Results: A total of 1664 mass-to-charge ratio values were detected and 76 metabolites were identified, including amino acids,
lipids, carbohydrates and compounds related to oxidative stress and sperm function. Principal component analysis did not reveal
any statistically significant differences between the pre- and post-liquefaction samples. However, univariate statistical testing
detected subtle changes in metabolite levels, most (1611) having similar or increased intensities in post-liquefaction samples,
along with notable interindividual variability.
Conclusions: The semen liquefaction process does not seem to affect the overall metabolic profile, allowing flexibility in sample
analysis without compromising data integrity. This supports the robustness of metabolomics for semen analysis and its potential
for identifying new fertility biomarkers.





