Article ; Online: Low-polarity untargeted metabolomic profiling as a tool to gain insight into seminal fluid.
Metabolomics : Official journal of the Metabolomic Society
2023 Volume 19, Issue 6, Page(s) 53
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 ... ...
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. |
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MeSH term(s) | Humans ; Male ; Semen Analysis ; Semen/metabolism ; Metabolomics/methods ; Spermatozoa/metabolism ; Sperm Count |
Language | English |
Publishing date | 2023-06-05 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2250617-2 |
ISSN | 1573-3890 ; 1573-3882 |
ISSN (online) | 1573-3890 |
ISSN | 1573-3882 |
DOI | 10.1007/s11306-023-02020-y |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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