Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility

We used a gas chromatography-mass spectrometry (GC-MS) based metabolomics approach to obtain the metabolic profiling of unexplained male infertility (UMI), and identified seminal plasma biomarkers associated with UMI by a two-stage population study. A robust OPLS-DA model based on these identified m...

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Bibliographic Details
Published in:PloS one 2017-08, Vol.12 (8), p.e0181115
Main Authors: Qiao, Shanlei, Wu, Wei, Chen, Minjian, Tang, Qiuqin, Xia, Yankai, Jia, Wei, Wang, Xinru
Format: Article
Language:English
Subjects:
Adult
Analysis
Antioxidants
Biological markers
Biology and Life Sciences
Biomarkers
Biomarkers - analysis
Biomarkers - metabolism
Care and treatment
Diagnosis
Education
Family medical history
Gas chromatography
Gas Chromatography-Mass Spectrometry - methods
Humans
Infertility
Infertility, Male - diagnosis
Infertility, Male - metabolism
Laboratories
Male
Male infertility
Mass spectrometry
Mass spectroscopy
Medical diagnosis
Medicine
Medicine and Health Sciences
Mens health
Metabolic Networks and Pathways
Metabolic pathways
Metabolism
Metabolites
Metabolome
Metabolomics
Metabolomics - methods
Obstetrics
Physical Sciences
Plasma
Population studies
Profiling
Proteomics
Public health
Reproductive health
Research and Analysis Methods
Semen
Semen - chemistry
Semen - metabolism
Sperm
Studies
Toxicology
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Summary:We used a gas chromatography-mass spectrometry (GC-MS) based metabolomics approach to obtain the metabolic profiling of unexplained male infertility (UMI), and identified seminal plasma biomarkers associated with UMI by a two-stage population study. A robust OPLS-DA model based on these identified metabolites was able to distinguish 82% of the UMI patients from health controls with a specificity of 92%. In this model, 44 metabolites were found differentially expressed in UMI subjects compared with health controls. By pathway enrichment analysis, we identified several major changed metabolic pathways related to UMI. Our findings provide new perspective for the diagnosis of UMI.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0181115