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Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome

BACKGROUND: Polycystic ovary syndrome (PCOS) is not only a kind of common endocrine syndrome but also a metabolic disorder, which harms the reproductive system and the whole body metabolism of the PCOS patients worldwide. In this study, we aimed to investigate the differences in serum metabolic prof...

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Autores principales: Yu, Ying, Tan, Panli, Zhuang, Zhenchao, Wang, Zhejiong, Zhu, Linchao, Qiu, Ruyi, Xu, Huaxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379735/
https://www.ncbi.nlm.nih.gov/pubmed/34416878
http://dx.doi.org/10.1186/s12920-021-01058-y
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author Yu, Ying
Tan, Panli
Zhuang, Zhenchao
Wang, Zhejiong
Zhu, Linchao
Qiu, Ruyi
Xu, Huaxi
author_facet Yu, Ying
Tan, Panli
Zhuang, Zhenchao
Wang, Zhejiong
Zhu, Linchao
Qiu, Ruyi
Xu, Huaxi
author_sort Yu, Ying
collection PubMed
description BACKGROUND: Polycystic ovary syndrome (PCOS) is not only a kind of common endocrine syndrome but also a metabolic disorder, which harms the reproductive system and the whole body metabolism of the PCOS patients worldwide. In this study, we aimed to investigate the differences in serum metabolic profiles of the patients with PCOS compared to the healthy controls. MATERIAL AND METHODS: 31 PCOS patients and 31 matched healthy female controls were recruited in this study, the clinical characteristics data were recorded, the laboratory biochemical data were detected. Then, we utilized the metabolomics approach by UPLC-HRMS technology to study the serum metabolic changes between PCOS and controls. RESULTS: The metabolomics analysis showed that there were 68 downregulated and 78 upregulated metabolites in PCOS patients serum compared to those in the controls. These metabolites mainly belong to triacylglycerols, glycerophosphocholines, acylcarnitines, diacylglycerols, peptides, amino acids, glycerophosphoethanolamines and fatty acid. Pathway analysis showed that these metabolites were enriched in pathways including glycerophospholipid metabolism, fatty acid degradation, fatty acid biosynthesis, ether lipid metabolism, etc. Diagnosis value assessed by ROC analysis showed that the changed metabolites, including Leu–Ala/Ile–Ala, 3-(4-Hydroxyphenyl) propionic acid, Ile–Val/Leu–Val, Gly–Val/Val–Gly, aspartic acid, DG(34:2)_DG(16:0/18:2), DG(34:1)_DG(16:0/18:1), Phe–Trp, DG(36:1)_DG(18:0/18:1), Leu–Leu/Leu–Ile, had higher AUC values, indicated a significant role in PCOS. CONCLUSION: The present study characterized the difference of serum metabolites and related pathway profiles in PCOS patients, this finding hopes to provide potential metabolic markers for the prognosis and diagnosis of this disease.
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spelling pubmed-83797352021-08-23 Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome Yu, Ying Tan, Panli Zhuang, Zhenchao Wang, Zhejiong Zhu, Linchao Qiu, Ruyi Xu, Huaxi BMC Med Genomics Research BACKGROUND: Polycystic ovary syndrome (PCOS) is not only a kind of common endocrine syndrome but also a metabolic disorder, which harms the reproductive system and the whole body metabolism of the PCOS patients worldwide. In this study, we aimed to investigate the differences in serum metabolic profiles of the patients with PCOS compared to the healthy controls. MATERIAL AND METHODS: 31 PCOS patients and 31 matched healthy female controls were recruited in this study, the clinical characteristics data were recorded, the laboratory biochemical data were detected. Then, we utilized the metabolomics approach by UPLC-HRMS technology to study the serum metabolic changes between PCOS and controls. RESULTS: The metabolomics analysis showed that there were 68 downregulated and 78 upregulated metabolites in PCOS patients serum compared to those in the controls. These metabolites mainly belong to triacylglycerols, glycerophosphocholines, acylcarnitines, diacylglycerols, peptides, amino acids, glycerophosphoethanolamines and fatty acid. Pathway analysis showed that these metabolites were enriched in pathways including glycerophospholipid metabolism, fatty acid degradation, fatty acid biosynthesis, ether lipid metabolism, etc. Diagnosis value assessed by ROC analysis showed that the changed metabolites, including Leu–Ala/Ile–Ala, 3-(4-Hydroxyphenyl) propionic acid, Ile–Val/Leu–Val, Gly–Val/Val–Gly, aspartic acid, DG(34:2)_DG(16:0/18:2), DG(34:1)_DG(16:0/18:1), Phe–Trp, DG(36:1)_DG(18:0/18:1), Leu–Leu/Leu–Ile, had higher AUC values, indicated a significant role in PCOS. CONCLUSION: The present study characterized the difference of serum metabolites and related pathway profiles in PCOS patients, this finding hopes to provide potential metabolic markers for the prognosis and diagnosis of this disease. BioMed Central 2021-08-20 /pmc/articles/PMC8379735/ /pubmed/34416878 http://dx.doi.org/10.1186/s12920-021-01058-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yu, Ying
Tan, Panli
Zhuang, Zhenchao
Wang, Zhejiong
Zhu, Linchao
Qiu, Ruyi
Xu, Huaxi
Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome
title Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome
title_full Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome
title_fullStr Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome
title_full_unstemmed Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome
title_short Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome
title_sort untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379735/
https://www.ncbi.nlm.nih.gov/pubmed/34416878
http://dx.doi.org/10.1186/s12920-021-01058-y
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