Aug 11, 2017

Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility

PloS One
Shanlei QiaoXinru Wang

Abstract

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.

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  • Citations5

References

Mentioned in this Paper

Biological Markers
Fertility
Metabolic Process, Cellular
Amino Acid Metabolism
Seminal Fluid
Biochemical Pathway
Tryptophan
Laboratory Procedures
Exertion
Glycerin

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