DNA methylation and mRNA expression of imprinted genes in blastocysts derived from an improved in vitro maturation method for oocytes from small antral follicles in polycystic ovary syndrome patients

2019 ◽  
Vol 34 (9) ◽  
pp. 1640-1649 ◽  
Author(s):  
M D Saenz-de-Juano ◽  
E Ivanova ◽  
S Romero ◽  
F Lolicato ◽  
F Sánchez ◽  
...  

Abstract STUDY QUESTION Does imprinted DNA methylation or imprinted gene expression differ between human blastocysts from conventional ovarian stimulation (COS) and an optimized two-step IVM method (CAPA-IVM) in age-matched polycystic ovary syndrome (PCOS) patients? SUMMARY ANSWER No significant differences in imprinted DNA methylation and gene expression were detected between COS and CAPA-IVM blastocysts. WHAT IS KNOWN ALREADY Animal models have revealed alterations in DNA methylation maintenance at imprinted germline differentially methylated regions (gDMRs) after use of ARTs. This effect increases as more ART interventions are applied to oocytes or embryos. IVM is a minimal-stimulation ART with reduced hormone-related side effects and risks for patients. CAPA-IVM is an improved IVM system that includes a pre-maturation step (CAPA), followed by an IVM step, both in the presence of physiological compounds that promote oocyte developmental capacity. STUDY DESIGN, SIZE, DURATION For DNA methylation analysis 20 CAPA-IVM blastocysts were compared to 12 COS blastocysts. For RNA-Seq analysis a separate set of 15 CAPA-IVM blastocysts were compared to 5 COS blastocysts. PARTICIPANTS/MATERIALS, SETTING, METHODS COS embryos originated from 12 patients with PCOS (according to Rotterdam criteria) who underwent conventional ovarian stimulation. For CAPA-IVM 23 women were treated for 3–5 days with highly purified hMG (HP-hMG) and no hCG trigger was given before oocyte retrieval. Oocytes were first cultured in pre-maturation medium (CAPA for 24 h containing C-type natriuretic peptide), followed by an IVM step (30 h) in medium containing FSH and Amphiregulin. After ICSI, Day 5 or 6 embryos in both groups were vitrified and used for post-bisulphite adaptor tagging (PBAT) DNA methylation analysis or RNA-seq gene expression analysis of individual embryos. Data from specific genes and gDMRs were extracted from the PABT and RNA-seq datasets. MAIN RESULTS AND THE ROLE OF CHANCE CAPA-IVM blastocysts showed similar rates of methylation and gene expression at gDMRs compared to COS embryos. In addition, expression of major epigenetic regulators was similar between the groups. LIMITATIONS, REASONS FOR CAUTION The embryos from the COS group were generated in a range of culture media. The CAPA-IVM embryos were all generated using the same sperm donor. The DNA methylation level of gDMRs in purely in vivo-derived human blastocysts is not known. WIDER IMPLICATIONS OF THE FINDINGS A follow-up of children born after CAPA-IVM is important as it is for other new ARTs, which are generally introduced into clinical practice without prior epigenetic safety studies on human blastocysts. CAPA-IVM opens new perspectives for patient-friendly ART in PCOS STUDY FUNDING/COMPETING INTEREST(S) IVM research at the Vrije Universiteit Brussel has been supported by grants from the Institute for the Promotion of Innovation by Science and Technology in Flanders (Agentschap voor Innovatie door Wetenschap en Technologie-IWT, project 110680), the Fund for Research Flanders (Fonds voor Wetenschappelijk Onderzoek-Vlaanderen-FWO-AL 679 project, project G.0343.13), the Belgian Foundation Against Cancer (HOPE project, Dossier C69Ref Nr 2016-119) and the Vrije Universiteit Brussel (IOF Project 4R-ART Nr 2042). Work in G.K.’s laboratory is supported by the UK Biotechnology and Biological Sciences Research Council and Medical Research Council. The authors have no conflicts of interest.

2021 ◽  
Author(s):  
Natsuki Nakanishi ◽  
Satoko Osuka ◽  
Tomohiro Kono ◽  
Hisato Kobayashi ◽  
Shinya Ikeda ◽  
...  

Abstract Background: Polycystic ovary syndrome (PCOS), a common endocrinal disorder, is associated with impaired oocyte development, which leads to infertility. However, the pathogenesis of PCOS has not been completely elucidated. Limited studies have analyzed the pathological characteristics of oocytes in PCOS. This study aimed to analyze the differentially expressed genes (DEGs) and epigenetic changes in the oocytes of the PCOS mouse model to identify the etiological factors.Methods: C57BL/6J female mice were subcutaneously injected with vehicle or 5α-dihydrotestosterone (250 µg/day) on days 16–18 of pregnancy. Female offspring were used as the control or PCOS group. The oocytes were collected from mice aged 7–9 weeks. The DEGs between the control and PCOS groups were analyzed using RNA sequencing (RNA-Seq). Additionally, the DNA methylation status was analyzed using the post-bisulfite adaptor tagging method. The ovarian tissue sections were stained with hematoxylin and eosin to examine the morphological changes. The proteins, Rps21 and Rpl36, were measured using immunostaining.Results: Compared with the control group, the PCOS group exhibited impaired estrous cycle and polycystic ovary-like morphology. RNA-Seq analysis revealed that 90 DEGs were upregulated and 27 DEGs were downregulated in the PCOS mouse model. DNA methylation analysis revealed 30 hypomethylated and 10 hypermethylated regions in the PCOS group. However, the DNA methylation status was not correlated with differential gene expression. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that five DEGs (Rps21, Rpl36, Rpl36a, Rpl37a, and Rpl22l1) were enriched in ribosome-related pathways. The immunohistochemical analysis revealed that the expression levels of Rps21 and Rpl36 were significantly upregulated in the PCOS mouse model.Conclusions: These results suggest that differential gene expression in the oocytes of the PCOS mouse model is related to impaired folliculogenesis. These findings improved our understanding of the pathogenesis of PCOS.


Oncotarget ◽  
2014 ◽  
Vol 5 (16) ◽  
pp. 6603-6610 ◽  
Author(s):  
Xiu-Xia Wang ◽  
Jing-Zan Wei ◽  
Jiao Jiao ◽  
Shu-Yi Jiang ◽  
Da-Hai Yu ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Ning-Ning Xie ◽  
Fang-Fang Wang ◽  
Jue Zhou ◽  
Chang Liu ◽  
Fan Qu

Polycystic ovary syndrome (PCOS) is one of the most common metabolic and reproductive endocrinopathies. However, few studies have tried to develop a diagnostic model based on gene biomarkers. In this study, we applied a computational method by combining two machine learning algorithms, including random forest (RF) and artificial neural network (ANN), to identify gene biomarkers and construct diagnostic model. We collected gene expression data from Gene Expression Omnibus (GEO) database containing 76 PCOS samples and 57 normal samples; five datasets were utilized, including one dataset for screening differentially expressed genes (DEGs), two training datasets, and two validation datasets. Firstly, based on RF, 12 key genes in 264 DEGs were identified to be vital for classification of PCOS and normal samples. Moreover, the weights of these key genes were calculated using ANN with microarray and RNA-seq training dataset, respectively. Furthermore, the diagnostic models for two types of datasets were developed and named neuralPCOS. Finally, two validation datasets were used to test and compare the performance of neuralPCOS with other two set of marker genes by area under curve (AUC). Our model achieved an AUC of 0.7273 in microarray dataset, and 0.6488 in RNA-seq dataset. To conclude, we uncovered gene biomarkers and developed a novel diagnostic model of PCOS, which would be helpful for diagnosis.


2018 ◽  
Vol 103 (12) ◽  
pp. 4465-4477 ◽  
Author(s):  
Emma Nilsson ◽  
Anna Benrick ◽  
Milana Kokosar ◽  
Anna Krook ◽  
Eva Lindgren ◽  
...  

Abstract Context Insulin resistance in skeletal muscle is a major risk factor for the development of type 2 diabetes in women with polycystic ovary syndrome (PCOS). Despite this, the mechanisms underlying insulin resistance in PCOS are largely unknown. Objective To investigate the genome-wide DNA methylation and gene expression patterns in skeletal muscle from women with PCOS and controls and relate them to phenotypic variations. Design/Participants In a case-control study, skeletal muscle biopsies from women with PCOS (n = 17) and age-, weight-, and body mass index‒matched controls (n = 14) were analyzed by array-based DNA methylation and mRNA expression profiling. Results Eighty-five unique transcripts were differentially expressed in muscle from women with PCOS vs controls, including DYRK1A, SYNPO2, SCP2, and NAMPT. Furthermore, women with PCOS had reduced expression of genes involved in immune system pathways. Two CpG sites showed differential DNA methylation after correction for multiple testing. However, an mRNA expression of ∼30% of the differentially expressed genes correlated with DNA methylation levels of CpG sites in or near the gene. Functional follow-up studies demonstrated that KLF10 is under transcriptional control of insulin, where insulin promotes glycogen accumulation in myotubes of human muscle cells. Testosterone downregulates the expression levels of COL1A1 and MAP2K6. Conclusion PCOS is associated with aberrant skeletal muscle gene expression with dysregulated pathways. Furthermore, we identified specific changes in muscle DNA methylation that may affect gene expression. This study showed that women with PCOS have epigenetic and transcriptional changes in skeletal muscle that, in part, can explain the metabolic abnormalities seen in these women.


2018 ◽  
Vol 48 (3) ◽  
pp. e12893 ◽  
Author(s):  
Elham Rahmani ◽  
Mehri Jamilian ◽  
Bahareh Dadpour ◽  
Zahra Nezami ◽  
Zahra Vahedpoor ◽  
...  

2019 ◽  
Vol 15 (4) ◽  
pp. 887-895 ◽  
Author(s):  
Elham Hosseini ◽  
Maryam Shahhoseini ◽  
Parvaneh Afsharian ◽  
Leila Karimian ◽  
Mahnaz Ashrafi ◽  
...  

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