Metabolomics analysis of serum metabolites during endometrial transformation: association with recurrent implantation failure in hormonal replacement therapy-frozen embryo transfers cycles

作者全名："Zheng, Jie; Tang, Xianglan; Han, Ting-li; Zhang, Chanyu; Zhang, Shen"

作者地址："[Zheng, Jie; Han, Ting-li; Zhang, Chanyu; Zhang, Shen] Chongqing Med Univ, Affiliated Hosp 2, Ctr Reprod Med, Obstet & Gynecol Dept, 288 Tianwen Ave, Chongqing 400010, Peoples R China; [Tang, Xianglan] Chongqing Med Univ, Affiliated Hosp 2, Prenatal Diag Ctr, Obstet & Gynecol Dept, Chongqing 400010, Peoples R China; [Han, Ting-li; Zhang, Chanyu; Zhang, Shen] Chongqing Med Univ, Joint Int Res Lab Reprod & Dev Minist Educ China, Chongqing 400010, Peoples R China; [Han, Ting-li] Chongqing Med Univ, Mass Spectrometry Ctr Maternal Fetal Med, Chongqing 400010, Peoples R China"

通信作者："Zhang, S (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Ctr Reprod Med, Obstet & Gynecol Dept, 288 Tianwen Ave, Chongqing 400010, Peoples R China.; Zhang, S (通讯作者)，Chongqing Med Univ, Joint Int Res Lab Reprod & Dev Minist Educ China, Chongqing 400010, Peoples R China."

来源：JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001046120400001

JCR分区：Q1

影响因子：3.2

年份：2023

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期号：　

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文献类型：Article; Early Access

关键词：Serum metabolites; Endometrial transformation; Recurrent implantation failure; Metabolomics; Gas chromatograph-mass spectrometry

摘要："PurposeThe purpose of this study was to investigate alterations in serum metabolites during endometrial transformation and possible associations with recurrent implantation failure (RIF) in hormonal replacement therapy (HRT)-frozen embryo transfer (FET) cycles.MethodsWe performed a prospective study involving 100 patients scheduled for HRT-FET cycles during January 2022 to April 2022. Blood serum samples were collected on the day of progesterone administration (dPA) and on the third day of progesterone administration (d3PA). Gas chromatography-mass spectrometry (GC-MS) analysis was performed to identify and quantify serum metabolites. A nested case-control study including 19 RIF patients and 19 matching controls was conducted to explore the predictive value of serum metabolites for RIF. Partial least squares discriminant analysis (PLS-DA) and receiver operating characteristic (ROC) curve analysis were performed to establish prediction models.Main resultsWe identified 105 serum metabolites, with 76 of them exhibiting significant alterations during the initial 3 days of endometrial transformation. Metabolites involved in amino acid metabolism and tricarboxylic acid (TCA) cycle showed lower levels during endometrial transformation. In the nested case-control study, the prediction model based on the ratio of serum metabolites between d3PA and dPA showed the highest area under the ROC curve (AUC), accuracy, and R-2 and Q(2) values. Eight metabolites, including indol-3-propionic acid, beta-alanine, myristoleic acid, malic acid, indole, DL-isocitric acid, proline, and itaconic acid, exhibited high predictive values for RIF.ConclusionThis study demonstrates alterations in serum metabolites during endometrial transformation, particularly in amino acid metabolism and TCA cycle. The identified metabolites, especially indol-3-propionic acid and malic acid, show potential as predictive markers for RIF. These findings contribute to a better understanding of the metabolic changes associated with endometrial receptivity and provide insights for the development of personalized approaches to improve implantation outcomes in FET cycles."

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