Low-polarity untargeted metabolomic profiling as a tool to gain insight into seminal fluid
-
Published:2023-06-05
Issue:6
Volume:19
Page:
-
ISSN:1573-3890
-
Container-title:Metabolomics
-
language:en
-
Short-container-title:Metabolomics
Author:
Olesti Eulalia,Boccard Julien,Rahban Rita,Girel Sergey,Moskaleva Natalia E.,Zufferey Fanny,Rossier Michel F.,Nef Serge,Rudaz Serge,González-Ruiz Víctor
Abstract
Abstract
Introduction
A decrease in sperm cell count has been observed along the last several decades, especially in the most developed regions of the world. The use of metabolomics to study the composition of the seminal fluid is a promising approach to gain access to the molecular mechanisms underlying this fact.
Objectives
In the present work, we aimed at relating metabolomic profiles of young healthy men to their semen quality parameters obtained from conventional microscopic analysis.
Methods
An untargeted metabolomics approach focusing on low- to mid-polarity compounds was used to analyze a subset of seminal fluid samples from a cohort of over 2700 young healthy men.
Results
Our results show that a broad metabolic profiling comprising several families of compounds (including acyl-carnitines, steroids, and other lipids) can contribute to effectively distinguish samples provided by individuals exhibiting low or high absolute sperm counts.
Conclusion
A number of metabolites involved in sexual development and function, signaling, and energy metabolism were highlighted as being distinctive of samples coming from either group, proving untargeted metabolomics as a promising tool to better understand the pathophysiological processes responsible for male fertility impairment.
Funder
Swiss Centre for Applied Human Toxicology Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung University of Geneva
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism
Reference65 articles.
1. Agarwal, A., Cho, C.-L., & Esteves, S. C. (2016). Should we evaluate and treat sperm DNA fragmentation&quest. Current Opinion in Obstetrics & Gynecology, 28, 164–171. https://doi.org/10.1097/gco.0000000000000271 2. Balladová, M. (2015). Differences in bisphenol a and estrogen levels in the plasma and seminal plasma of men with different degrees of infertility. Physiological Research, 64(Suppl 2), S303–S311. 3. Blaurock, J., Baumann, S., Grunewald, S., Schiller, J., & Engel, K. M. (2022). Metabolomics of human semen: a review of different analytical methods to unravel biomarkers for male fertility disorders. International Journal of Molecular Sciences, 23, 9031. https://doi.org/10.3390/ijms23169031 4. Blaženović, I., Kind, T., Ji, J., & Fiehn, O. (2018). Software tools and approaches for compound identification of LC-MS/MS data in metabolomics. Metabolites, 8, 31. https://doi.org/10.3390/metabo8020031 5. Boulicault, M., Perret, M., Galka, J., Borsa, A., Gompers, A., Reiches, M., & Richardson, S. (2022). The future of sperm: A biovariability framework for understanding global sperm count trends. Human Fertility, 25, 888–902. https://doi.org/10.1080/14647273.2021.1917778
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|