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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0181115&type=printable |
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| _version_ | 1850076475118583808 |
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| author | Shanlei Qiao Wei Wu Minjian Chen Qiuqin Tang Yankai Xia Wei Jia Xinru Wang |
| author_facet | Shanlei Qiao Wei Wu Minjian Chen Qiuqin Tang Yankai Xia Wei Jia Xinru Wang |
| author_sort | Shanlei Qiao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-47bbd6ff2e8f4d5a9a9524a95ca2ce21 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-47bbd6ff2e8f4d5a9a9524a95ca2ce212025-08-20T02:46:01ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01128e018111510.1371/journal.pone.0181115Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility.Shanlei QiaoWei WuMinjian ChenQiuqin TangYankai XiaWei JiaXinru WangWe 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0181115&type=printable |
| spellingShingle | Shanlei Qiao Wei Wu Minjian Chen Qiuqin Tang Yankai Xia Wei Jia Xinru Wang Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility. PLoS ONE |
| title | Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility. |
| title_full | Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility. |
| title_fullStr | Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility. |
| title_full_unstemmed | Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility. |
| title_short | Seminal plasma metabolomics approach for the diagnosis of unexplained male infertility. |
| title_sort | seminal plasma metabolomics approach for the diagnosis of unexplained male infertility |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0181115&type=printable |
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