Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry
Background: Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder, and it's diagnosis is difficult. The aim of this study was to investigate the metabolic profiles of PCOS patients by analyzing urine samples and identify useful biomarkers for diagnosis of PCOS. Methods:...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer
2018-01-01
|
| Series: | Chinese Medical Journal |
| Subjects: | |
| Online Access: | http://www.cmj.org/article.asp?issn=0366-6999;year=2018;volume=131;issue=8;spage=945;epage=949;aulast=Zou |
| _version_ | 1818573794369863680 |
|---|---|
| author | Ying Zou Fu-Fan Zhu Chao-Ying Fang Xi-Yue Xiong Hong-Yun Li |
| author_facet | Ying Zou Fu-Fan Zhu Chao-Ying Fang Xi-Yue Xiong Hong-Yun Li |
| author_sort | Ying Zou |
| collection | DOAJ |
| description | Background: Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder, and it's diagnosis is difficult. The aim of this study was to investigate the metabolic profiles of PCOS patients by analyzing urine samples and identify useful biomarkers for diagnosis of PCOS.
Methods: This study was carried out in the Department of Obstetrics and Gynecology of the Maternal and Child Health Hospital of Hunan Province from December 2014 to July 2016. In this study, the urine samples of 21 women with PCOS and 16 healthy controls were assessed through gas chromatography-mass spectrometry to investigate the urine metabolite characteristics of PCOS and identify useful biomarkers for the diagnosis of this disorder. The Student's t-test and rank sum test were applied to validate the statistical significance of the between the two groups.
Results: In total, 35 urine metabolites were found to be significantly different between the PCOS patients and the controls. In particular, a significant increase in the levels of lactose (10.01 [0,13.99] mmol/mol creatinine vs. 2.35 [0.16, 3.26] mmol/mol creatinine, P = 0.042), stearic acid (2.35 [1.47, 3.14] mmol/mol creatinine vs. 0.05 [0, 0.14] mmol/mol creatinine, P < 0.001), and palmitic acid (2.13 [1.07, 2.79] mmol/mol creatinine vs. 0 [0, 0] mmol/mol creatinine, P < 0.001) and a decrease in the levels of succinic acid (0 [0, 0] mmol/mol creatinine vs. 38.94 [4.16, 51.30] mmol/mol creatinine, P < 0.001) were found in the PCOS patients compared with the controls. It was possible to cluster the PCOS patients and the healthy controls into two distinct regions based on a principal component analysis model. Of the differentially expressed metabolites, four compounds, including stearic acid, palmitic acid, benzoylglycine, and threonine, were selected as potential biomarkers.
Conclusions: This study offers new insight into the pathogenesis of PCOS, and the discriminating urine metabolites may provide a prospect for the diagnosis of PCOS. |
| first_indexed | 2024-12-15T00:17:39Z |
| format | Article |
| id | doaj.art-5f7dbc9f68a64041bebb8a0c2bb929c6 |
| institution | Directory Open Access Journal |
| issn | 0366-6999 |
| language | English |
| last_indexed | 2024-12-15T00:17:39Z |
| publishDate | 2018-01-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Chinese Medical Journal |
| spelling | doaj.art-5f7dbc9f68a64041bebb8a0c2bb929c62022-12-21T22:42:25ZengWolters KluwerChinese Medical Journal0366-69992018-01-01131894594910.4103/0366-6999.229899Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass SpectrometryYing ZouFu-Fan ZhuChao-Ying FangXi-Yue XiongHong-Yun LiBackground: Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disorder, and it's diagnosis is difficult. The aim of this study was to investigate the metabolic profiles of PCOS patients by analyzing urine samples and identify useful biomarkers for diagnosis of PCOS. Methods: This study was carried out in the Department of Obstetrics and Gynecology of the Maternal and Child Health Hospital of Hunan Province from December 2014 to July 2016. In this study, the urine samples of 21 women with PCOS and 16 healthy controls were assessed through gas chromatography-mass spectrometry to investigate the urine metabolite characteristics of PCOS and identify useful biomarkers for the diagnosis of this disorder. The Student's t-test and rank sum test were applied to validate the statistical significance of the between the two groups. Results: In total, 35 urine metabolites were found to be significantly different between the PCOS patients and the controls. In particular, a significant increase in the levels of lactose (10.01 [0,13.99] mmol/mol creatinine vs. 2.35 [0.16, 3.26] mmol/mol creatinine, P = 0.042), stearic acid (2.35 [1.47, 3.14] mmol/mol creatinine vs. 0.05 [0, 0.14] mmol/mol creatinine, P < 0.001), and palmitic acid (2.13 [1.07, 2.79] mmol/mol creatinine vs. 0 [0, 0] mmol/mol creatinine, P < 0.001) and a decrease in the levels of succinic acid (0 [0, 0] mmol/mol creatinine vs. 38.94 [4.16, 51.30] mmol/mol creatinine, P < 0.001) were found in the PCOS patients compared with the controls. It was possible to cluster the PCOS patients and the healthy controls into two distinct regions based on a principal component analysis model. Of the differentially expressed metabolites, four compounds, including stearic acid, palmitic acid, benzoylglycine, and threonine, were selected as potential biomarkers. Conclusions: This study offers new insight into the pathogenesis of PCOS, and the discriminating urine metabolites may provide a prospect for the diagnosis of PCOS.http://www.cmj.org/article.asp?issn=0366-6999;year=2018;volume=131;issue=8;spage=945;epage=949;aulast=ZouBiomarkers; Gas Chromatography-Mass Spectrometry; Metabolomics; Polycystic Ovary Syndrome; Urine Metabolites |
| spellingShingle | Ying Zou Fu-Fan Zhu Chao-Ying Fang Xi-Yue Xiong Hong-Yun Li Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry Chinese Medical Journal Biomarkers; Gas Chromatography-Mass Spectrometry; Metabolomics; Polycystic Ovary Syndrome; Urine Metabolites |
| title | Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry |
| title_full | Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry |
| title_fullStr | Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry |
| title_full_unstemmed | Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry |
| title_short | Identification of Potential Biomarkers for Urine Metabolomics of Polycystic Ovary Syndrome Based on Gas Chromatography-Mass Spectrometry |
| title_sort | identification of potential biomarkers for urine metabolomics of polycystic ovary syndrome based on gas chromatography mass spectrometry |
| topic | Biomarkers; Gas Chromatography-Mass Spectrometry; Metabolomics; Polycystic Ovary Syndrome; Urine Metabolites |
| url | http://www.cmj.org/article.asp?issn=0366-6999;year=2018;volume=131;issue=8;spage=945;epage=949;aulast=Zou |
| work_keys_str_mv | AT yingzou identificationofpotentialbiomarkersforurinemetabolomicsofpolycysticovarysyndromebasedongaschromatographymassspectrometry AT fufanzhu identificationofpotentialbiomarkersforurinemetabolomicsofpolycysticovarysyndromebasedongaschromatographymassspectrometry AT chaoyingfang identificationofpotentialbiomarkersforurinemetabolomicsofpolycysticovarysyndromebasedongaschromatographymassspectrometry AT xiyuexiong identificationofpotentialbiomarkersforurinemetabolomicsofpolycysticovarysyndromebasedongaschromatographymassspectrometry AT hongyunli identificationofpotentialbiomarkersforurinemetabolomicsofpolycysticovarysyndromebasedongaschromatographymassspectrometry |