Metabolic landscape and pathogenic insights: a comprehensive analysis of high ovarian response in infertile women undergoing in vitro fertilization.

IF 3.8 3区 医学 Q1 REPRODUCTIVE BIOLOGY
Ling-Ling Ruan, Xing-Yu Lv, Yu-Lin Hu, Ming-Xing Chen, Jing-Tang, Zhao-Hui Zhong, Mei-Hua Bao, Li-Juan Fu, Xin Luo, Shao-Min Yu, Qi Wan, Yu-Bin Ding
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引用次数: 0

Abstract

Background: In the realm of assisted reproduction, a subset of infertile patients demonstrates high ovarian response following controlled ovarian stimulation (COS), with approximately 29.7% facing the risk of Ovarian Hyperstimulation Syndrome (OHSS). Management of OHSS risk often necessitates embryo transfer cancellation, leading to delayed prospects of successful pregnancy and significant psychological distress. Regrettably, these patients have received limited research attention, particularly regarding their metabolic profile. In this study, we aim to utilize gas chromatography-mass spectrometry (GC-MS) to reveal these patients' unique serum metabolic profiles and provide insights into the disease's pathogenesis.

Methods: We categorized 145 infertile women into two main groups: the CON infertility group from tubal infertility patients and the Polycystic Ovary Syndrome (PCOS) infertility group. Within these groups, we further subdivided them into four categories: patients with normal ovarian response (CON-NOR group), patients with high ovarian response and at risk for OHSS (CON-HOR group) within the CON group, as well as patients with normal ovarian response (PCOS-NOR group) and patients with high ovarian response and at risk for OHSS (PCOS-HOR group) within the PCOS group. Serum metabolic profiles were analyzed using GC-MS. The risk criteria for OHSS were: the number of developing follicles > 20, peak Estradiol (E2) > 4000pg/mL, and Anti-Müllerian Hormone (AMH) levels > 4.5ng/mL.

Results: The serum metabolomics analysis revealed four different metabolites within the CON group and 14 within the PCOS group. Remarkably, 10-pentadecenoic acid emerged as a discernible risk metabolite for the CON-HOR, also found to be a differential metabolite between CON-NOR and PCOS groups. cysteine and 5-methoxytryptamine were also identified as risk metabolites for the PCOS-HOR. Furthermore, KEGG analysis unveiled significant enrichment of the aminoacyl-tRNA biosynthesis pathway among the metabolites differing between PCOS-NOR and PCOS-HOR.

Conclusion: Our study highlights significant metabolite differences between patients with normal ovarian response and those with high ovarian response and at risk for OHSS within both the tubal infertility control group and PCOS infertility group. Importantly, we observe metabolic similarities between patients with PCOS and those with a high ovarian response but without PCOS, suggesting potential parallels in their underlying causes.

代谢状况和致病因素:对接受试管受精的不孕妇女卵巢高反应的综合分析。
背景:在辅助生殖领域,一部分不孕患者在接受控制性卵巢刺激(COS)后表现出较高的卵巢反应,其中约 29.7% 面临卵巢过度刺激综合征(OHSS)的风险。卵巢过度刺激综合征风险的处理往往需要取消胚胎移植,导致成功怀孕的前景被推迟,并给患者带来巨大的心理压力。遗憾的是,这些患者受到的研究关注有限,尤其是他们的代谢状况。在本研究中,我们旨在利用气相色谱-质谱联用技术(GC-MS)揭示这些患者独特的血清代谢谱,并为该疾病的发病机制提供见解:我们将 145 名不孕妇女分为两大类:来自输卵管不孕患者的 CON 不孕症组和多囊卵巢综合征(PCOS)不孕症组。在这两组中,我们又将其细分为四类:CON 组中卵巢反应正常的患者(CON-NOR 组)、卵巢反应高且有 OHSS 风险的患者(CON-HOR 组),以及 PCOS 组中卵巢反应正常的患者(PCOS-NOR 组)和卵巢反应高且有 OHSS 风险的患者(PCOS-HOR 组)。采用 GC-MS 分析血清代谢谱。OHSS的风险标准为:发育卵泡数大于20个,雌二醇(E2)峰值大于4000pg/mL,抗苗勒管激素(AMH)水平大于4.5ng/mL:血清代谢组学分析显示,CON 组有 4 种不同的代谢物,PCOS 组有 14 种。值得注意的是,10-十五碳烯酸是CON-HOR组的风险代谢物,也是CON-NOR组和PCOS组之间的差异代谢物。此外,KEGG 分析还发现,在 PCOS-NOR 组和 PCOS-HOR 组之间的代谢物差异中,氨基酰-tRNA 生物合成途径明显富集:我们的研究强调了在输卵管性不孕对照组和多囊卵巢综合征不孕组中,卵巢反应正常患者与卵巢反应高且有OHSS风险的患者之间代谢物的明显差异。重要的是,我们观察到多囊卵巢综合症患者与卵巢反应高但无多囊卵巢综合症的患者在代谢方面存在相似之处,这表明他们的潜在病因可能存在相似之处。
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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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