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PLoS One. 2017 Aug 10;12(8):e0181115. doi: 10.1371/journal.pone.0181115. eCollection 2017.

Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility.

Qiao S1,2, Wu W1,2, Chen M1,2, Tang Q3, Xia Y1,2, Jia W4, Wang X1,2.

Author information

1
State Key Laboratory of Reproductive Medicine, Institute of Applied Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China.
2
Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China.
3
State Key Laboratory of Reproductive Medicine, Department of Obstetrics, Nanjing Maternity and Child Health Hospital, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China.
4
University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America.

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.

PMID:
28797078
PMCID:
PMC5552325
DOI:
10.1371/journal.pone.0181115
[Indexed for MEDLINE]
Free PMC Article

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