Biomarkers identification in follicular fluid of women with OHSS by using UPLC-MS method

Wu, Ze and Fang, Lanlan and Liu, Boqun and Jia, Qiongqiong and Cheng, Jung-Chien and Sun, Ying-Pu (2023) Biomarkers identification in follicular fluid of women with OHSS by using UPLC-MS method. Frontiers in Endocrinology, 14. ISSN 1664-2392

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Abstract

To figure out the differentially changed metabolites and disturbed pathways in follicular fluid (FF) of patients with OHSS in comparison to the control group undergoing in vitro fertilization (IVF), we conducted this metabolomic analysis between two groups, the OHSS group included 30 patients treated with oocyte retrieval and developed OHSS in the next 7-14 days, while another 30 patients without OHSS tendency were selected as the control group. The FF samples were obtained during the process of oocyte retrieval. FF samples were analyzed using ultra-high liquid chromatography-tandem mass spectrometry (UPLC-MS). The results identified a total of 59 differentially changed metabolites, including 33 decreased metabolites (P < 0.01) and 26 increased metabolites (P < 0.01) in FF of OHSS compared with the control group. 12 metabolites could be the most valuable biomarkers for OHSS based on ROC results. Our correlation analyses showed that deoxyinosine levels were found positively correlated with serum estradiol (E2) levels in OHSS patients, while L-isoleucine, pyruvic acid, maleamate, and arachidonic acid were found to be positively correlated with the number of retrieved oocytes. Furthermore, 4-hydroxyphenylacetaldehyde, deoxycorticosterone, creatinine, and creatine were found to be negatively associated with serum E2 levels, while 4-hydroxyphenylacetaldehyde, L-carnitine, isovaleric acid and L-2-hydroxyglutaric acid were negatively related with the number of oocytes retrieved in OHSS patients. Taken together, our study provides better identification of OHSS FF metabolic dynamics, suggesting the metabolic compounds can be used as valuable predictors or treatment targets of OHSS.

Item Type: Article
Subjects: Research Scholar Guardian > Mathematical Science
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 04 Nov 2023 03:47
Last Modified: 04 Nov 2023 03:47
URI: http://science.sdpublishers.org/id/eprint/1328

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