Hyper response to ovarian stimulation affects the follicular fluid metabolomic profile of women undergoing IVF similarly to polycystic ovary syndrome

Cordeiro, Fernanda Bertuccez; Cataldi, Thaís Regiani; Souza, Beatriz Zappellini de; Rochetti, Raquel Cellin; Fraietta, Renato; Labate, Carlos Alberto; Turco, E.G. Lo

doi:10.1007/s11306-018-1350-z

Cited by 23 publications

(20 citation statements)

References 31 publications

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“…We compared our data-adaptive filtering and normalization pipeline to a more traditional pipeline, based on web servers like MetaboAnalyst (Xia and Wishart, 2016), popular software such as XCMS (Smith et al, 2006), and recent untargeted metabolomics studies (Cordeiro et al, 2018;De Livera et al, 2015;Ganna et al, 2016;Want et al, 2013). This traditional pipeline employs the following sequence:…”

Section: Resultsmentioning

confidence: 99%

Data-adaptive pipeline for filtering and normalizing metabolomics data

Schiffman

Petrick

Perttula

et al. 2018

Preprint

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IntroductionUntargeted metabolomics datasets contain large proportions of uninformative features and are affected by a variety of nuisance technical effects that can bias subsequent statistical analyses. Thus, there is a need for versatile and data-adaptive methods for filtering and normalizing data prior to investigating the underlying biological phenomena. ConclusionOur proposed data-adaptive pipeline is intuitive and effectively reduces technical noise from untargeted metabolomics datasets. It is particularly relevant for interrogation of biological phenomena in data derived from complex matrices associated with biospecimens.

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Section: Resultsmentioning

confidence: 99%

Data-adaptive pipeline for filtering and normalizing metabolomics data

Schiffman

Petrick

Perttula

et al. 2018

Preprint

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“…The period of hCG effect on oocyte maturation may be limited in excessive responders. Although the underlying causes are still unclear, the patients with polycystic ovary syndrome (PCOS) were not excluded in this study; hyperresponse to controlled ovarian stimulation is known to be a common characteristic for PCOS patients [ 27 ]. It is therefore reasonable to conclude that a portion of the excessive responders in this study might be diagnosed with PCOS.…”

Section: Discussionmentioning

confidence: 99%

“…Geng et al [ 28 ] reported that 21% of PCOS patients show premature luteinization, especially before follicle maturation, suggesting poor oocyte quality in PCOS patients [ 29 ]. Additionally, the metabolic similarities observed in the follicle fluid between excessive responders and PCOS patients indicate that metabolic alteration, among other things, could impair the quality of at least a portion of oocytes and embryos in excessive responders [ 27 ]. Therefore, a proportion of premature luteinization and metabolic abnormalities in excessive responders might limit the effect of prolonging the hCG-OPU interval on improving the euploidy rate.…”

Section: Discussionmentioning

confidence: 99%

Effect of Interval between Human Chorionic Gonadotropin Priming and Ovum Pick-up on the Euploid Probabilities of Blastocyst

Lee

Chen²,

Huang³

et al. 2020

JCM

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This retrospective study attempts to elucidate the relevance of the interval between human chorionic gonadotropin priming and oocyte pick-up (hCG-OPU) to the euploidy probability of biopsied blastocysts in preimplantation genetic tests for aneuploidy (PGT-A) cycles. A total of 1889 blastocysts from 511 patients undergoing PGT- A cycles were used. An analysis of generalized estimating equations (GEE) was used to identify whether the hCG–OPU interval is associated with euploidy probabilities of blastocysts. Accordingly, maternal age (OR: 0.925, 95% CI: 0.903–0.948, p < 0.001) and the hCG–OPU interval (OR: 1.138, 95% CI: 1.028–1.260, p = 0.013) were the two significant factors associated with the euploidy probabilities. The Cochran-Armitage trend test demonstrated that the blastocyst euploidy percentage increased progressively with the increasing hCG-OPU interval in normal responders (p = 0.006) and advanced maternal age (age ≥38 years; p = 0.020) groups. In normal responders, the euploidy rate was highest in the 38–39 h interval (43.1%, 47/109). In contrast, the euploidy rate was lowest in the 34–35 h interval (28.7%, 29/105). In conclusion, the present study demonstrated that at an hCG-OPU interval between 34–39 h, the longer the hCG-OPU interval, the higher the probability of euploidy for blastocysts.

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“…After controlling ovarian stimulation treatment, one of the obstacles for patients with PCOS who receive IVF is the insufficient number of mature oocytes, regardless of ovarian response. [11][12][13] The clinical pregnancy and live birth rates of females with PCOS who receive IVF are comparable with those of healthy women, but researchers should continue to consider them to be at a high risk of adverse pregnancy-related outcomes. 14,15 A meta-analysis of the data shows that birth and implantation rates are higher in patients with PCOS than in controls using in vitro maturation.…”

Section: Introductionmentioning

confidence: 99%

Transcriptome Profiling of Oocytes at the Germinal Vesicle Stage from Women from Mongolia with Polycystic Ovary Syndrome

Du¹,

Chen²

2021

IJGM

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Background Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders. Evidence indicates that genetic and environmental factors contribute to the pathogenesis of PCOS. The molecular basis of PCOS is not well understood. Methods Whole-genome RNA sequencing was performed on single oocyte at the germinal vesicle (GV) stage from females with normal ovulation and females with PCOS. All subjects were women from Mongolia undergoing intracytoplasmic sperm injection in vitro fertilization (ICSI-IVF) who met the Rotterdam criteria for PCOS. Women with normal ovulation who were undergoing ICSI-IVF owing to male factor infertility were recruited as control subjects. Results A total of 1313 differentially expressed genes were found by bio-informatics software in the GV oocytes of PCOS patients and compared with the control group. There were 367 upregulated and 946 downregulated genes (fold change > 2, false discovery rate < 0.01). When compared with the healthy controls, it was shown that the DEGs like VEGF, IGF, FADS1 et al were investigated as potential causes of PCOS oocytes. The DEGs were related to kinase activity, cell proliferation, gene regulation, and the signaling pathways of phosphatidylinositol 3-kinase, Hippo, and ECM-receptor pathway in patients with PCOS. In addition, the interconnected gene co-expression network was constructed by gene bionetwork analysis, indicating that ITGB5, ITGB3, and CAV2 were the core genes in regulating the module expression of DEGs in PCOS. Conclusion RNA sequencing analysis demonstrated DEGs were linked to inflammation, cardiovascular disease, and lipid metabolism in the GV oocytes of women with PCOS. We hypothesize that ITGB5, ITGB3, and CAV2 may be involved in metabolic disorders associated with the different phenotypes of PCOS.

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Hyper response to ovarian stimulation affects the follicular fluid metabolomic profile of women undergoing IVF similarly to polycystic ovary syndrome

Cited by 23 publications

References 31 publications

Data-adaptive pipeline for filtering and normalizing metabolomics data

Data-adaptive pipeline for filtering and normalizing metabolomics data

Effect of Interval between Human Chorionic Gonadotropin Priming and Ovum Pick-up on the Euploid Probabilities of Blastocyst

Transcriptome Profiling of Oocytes at the Germinal Vesicle Stage from Women from Mongolia with Polycystic Ovary Syndrome

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