Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure
Several widely recognized metabolites play a role in regulating the pathophysiological processes of various disorders. Nonetheless, the lack of effective biomarkers for the early diagnosis of polycystic ovarian syndrome (PCOS) and premature ovarian failure (POF) has led to the discovery of serum-bas...
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Taylor & Francis Group
2021
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oai:doaj.org-article:af5be4acaf984a13b3fbef030a91d2272021-11-04T15:51:53ZDiscovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure2165-59792165-598710.1080/21655979.2021.1982312https://doaj.org/article/af5be4acaf984a13b3fbef030a91d2272021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.1982312https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987Several widely recognized metabolites play a role in regulating the pathophysiological processes of various disorders. Nonetheless, the lack of effective biomarkers for the early diagnosis of polycystic ovarian syndrome (PCOS) and premature ovarian failure (POF) has led to the discovery of serum-based metabolic biomarkers for these disorders. We aimed to identify various differentially expressed metabolites (DEMs) through serum-based metabolic profiling in patients with PCOS and POF and in healthy individuals by using liquid chromatography–mass spectrometry analysis. Furthermore, heatmap clustering, correlation, and Z-score analyses were performed to identify the top DEMs. Kyoto Encyclopedia of Genes and Genomes enriched pathways of DEMs were determined using metabolite-based databases. Moreover, the clinical significance of these DEMs was evaluated on the basis of area under the receiver operating characteristic curve. Significantly dysregulated expressions of several metabolites were observed in the intergroup comparisons of the PCOS, POF, and healthy control groups. Furthermore, 6 DEMs were most frequently observed among the three groups. The expressions of these DEMs were not only directly correlated but also exhibited potential significance in patients with PCOS and POF. Novel metabolites with up/downregulated expressions can be discovered in patients with PCOS and POF using serum-based metabolomics; these metabolites show good diagnostic performance and can act as effective biomarkers for the early detection of PCOS and POF. Furthermore, these metabolites might be involved in the pathophysiological mechanisms of PCOS and POF via interplay with corresponding genes.Jiying ChenQinger ZhouYonggang ZhangWenqing TanHanchao GaoLiying ZhouShuixiu XiaoJinhua GaoJing LiZhiying ZhuTaylor & Francis Grouparticlemetabolic biomarkerspolycystic ovarian syndromepremature ovarian failureBiotechnologyTP248.13-248.65ENBioengineered, Vol 12, Iss 1, Pp 8778-8792 (2021) |
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metabolic biomarkers polycystic ovarian syndrome premature ovarian failure Biotechnology TP248.13-248.65 |
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metabolic biomarkers polycystic ovarian syndrome premature ovarian failure Biotechnology TP248.13-248.65 Jiying Chen Qinger Zhou Yonggang Zhang Wenqing Tan Hanchao Gao Liying Zhou Shuixiu Xiao Jinhua Gao Jing Li Zhiying Zhu Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure |
| description |
Several widely recognized metabolites play a role in regulating the pathophysiological processes of various disorders. Nonetheless, the lack of effective biomarkers for the early diagnosis of polycystic ovarian syndrome (PCOS) and premature ovarian failure (POF) has led to the discovery of serum-based metabolic biomarkers for these disorders. We aimed to identify various differentially expressed metabolites (DEMs) through serum-based metabolic profiling in patients with PCOS and POF and in healthy individuals by using liquid chromatography–mass spectrometry analysis. Furthermore, heatmap clustering, correlation, and Z-score analyses were performed to identify the top DEMs. Kyoto Encyclopedia of Genes and Genomes enriched pathways of DEMs were determined using metabolite-based databases. Moreover, the clinical significance of these DEMs was evaluated on the basis of area under the receiver operating characteristic curve. Significantly dysregulated expressions of several metabolites were observed in the intergroup comparisons of the PCOS, POF, and healthy control groups. Furthermore, 6 DEMs were most frequently observed among the three groups. The expressions of these DEMs were not only directly correlated but also exhibited potential significance in patients with PCOS and POF. Novel metabolites with up/downregulated expressions can be discovered in patients with PCOS and POF using serum-based metabolomics; these metabolites show good diagnostic performance and can act as effective biomarkers for the early detection of PCOS and POF. Furthermore, these metabolites might be involved in the pathophysiological mechanisms of PCOS and POF via interplay with corresponding genes. |
| format |
article |
| author |
Jiying Chen Qinger Zhou Yonggang Zhang Wenqing Tan Hanchao Gao Liying Zhou Shuixiu Xiao Jinhua Gao Jing Li Zhiying Zhu |
| author_facet |
Jiying Chen Qinger Zhou Yonggang Zhang Wenqing Tan Hanchao Gao Liying Zhou Shuixiu Xiao Jinhua Gao Jing Li Zhiying Zhu |
| author_sort |
Jiying Chen |
| title |
Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure |
| title_short |
Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure |
| title_full |
Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure |
| title_fullStr |
Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure |
| title_full_unstemmed |
Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure |
| title_sort |
discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure |
| publisher |
Taylor & Francis Group |
| publishDate |
2021 |
| url |
https://doaj.org/article/af5be4acaf984a13b3fbef030a91d227 |
| work_keys_str_mv |
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