Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis

Kaur, Surleen; Archer, Kellie J.; Devi, M. Gouri; Kriplani, Alka; Strauss, Jerome F.; Singh, Rita

doi:10.1210/jc.2011-3441

Cited by 129 publications

(112 citation statements)

References 22 publications

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“…HOMA-IR was calculated using the following equation: HOMA-IR = FPG (mM) × FINS (mIU/L)/22.5 [20]. Moreover, the follicles in basal 2–9 mm of left and right ovaries were counted using ultrasound.…”

Section: Methodsmentioning

confidence: 99%

“…Ovarian stimulation and oocyte retrieval were performed according to a previously described protocol [20]. Human chorionic gonadotropin (hCG) was injected to trigger ovulation after adequate follicular development.…”

Section: Methodsmentioning

confidence: 99%

“…Venous blood was collected to determine E2 and progesterone (P4) levels before hCG injection. Oocyte retrieval was conducted at 36 h after hCG treatment, and ovarian GCs were recovered from the follicular fluid without blood contamination as previously described [20]. GCs were purified with Ficoll-Paque (Solarbio, Beijing, China) and then stored at –80°C together with follicular fluid samples.…”

Section: Methodsmentioning

confidence: 99%

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Wilms’ Tumor 1 Overexpression in Granulosa Cells Is Associated with Polycystic Ovaries in Polycystic Ovary Syndrome Patients

Wang

Huang

Shu

et al. 2018

Gynecol Obstet Invest

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Background: Polycystic ovary syndrome (PCOS) is a heterogeneous disorder characterized by chronic ovulatory dysfunction, hyperandrogenism, and polycystic ovaries. Wilms’ tumor 1 (WT1) encoding a transcription factor involved in the differentiation of granulosa cells (GCs) regulates androgen receptor in the development of male genitalia. However, the expression pattern and possible role of WT1 in ovaries of PCOS patients are still unknown. Methods: GCs from 95 PCOS patients (PCOS group) and 62 healthy controls (control group) were isolated. The expression of WT1 in GCs was quantified using the reverse transcription-polymerase chain reaction. The correlation between WT1 expression and clinical characteristics was evaluated in PCOS patients. Results: WT1 expression was increased in PCOS patients compared with the normal controls. The expression of WT1 was moderately correlated with testosterone (r = 0.334, p = 0.001) and luteinizing hormone (r = 0.357, p = 0.001) levels and the antral follicle counts (r = 0.337, p = 0.001). Conclusions: Our study provided novel insights into the relationship between hyperandrogenism and polycystic ovaries of PCOS and WT1.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Wilms’ Tumor 1 Overexpression in Granulosa Cells Is Associated with Polycystic Ovaries in Polycystic Ovary Syndrome Patients

Wang

Huang

Shu

et al. 2018

Gynecol Obstet Invest

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“…PCOS compared to non-PCOS (Catteau-Jonard et al 2008, Wei et al 2012, Meng et al 2013, Schmidt et al 2014, Lan et al 2015, endometriosis compared to non-endometriosis , Allegra et al 2014, Barcelos et al 2015 and diminished ovarian reserve compared to normal ovarian reserve (Greenseid et al 2011, Jindal et al 2012, May-Panloup et al 2012) have all been shown to alter gene expression. In fact, PCOS patients with or without insulin resistance were shown to have DRGE compared to non-PCOS normal control patients (Kaur et al 2012). Other pathologies may also alter gene expression but have not been examined.…”

Section: Variables Affecting Granulosa Cell Transcriptomic Profiles Omentioning

confidence: 99%

Granulosa cell biomarkers to predict pregnancy in ART: pieces to solve the puzzle

Kordus

LaVoie

2017

Reproduction

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Cumulus and mural granulosa cells of the ovarian follicle surround and interact with the developing oocyte. These follicular cells reflect the oocyte's overall health and may indicate subsequent developmental competence of embryos. Biomarkers of granulosa cells associated with individual oocytes could potentially be used in assisted reproduction to indicate which embryos have the best chance of implanting in the uterus and completing gestation. In this review, we have performed a comprehensive assessment of the recent literature for human cumulus and mural granulosa cell mRNA biomarkers as they relate to pregnancy and live birth. A critical discussion of variables affecting granulosa gene expression profiles for in vitro fertilization patients, including patient demographics and ovarian stimulation regimens, is presented. Although studies with microarray data were evaluated, this synopsis focuses on expressed genes that have been validated by quantitative RT-PCR. Furthermore, we summarize the current published data that support or refute identified granulosa expressed genes as potential biomarkers of embryos that give rise to ongoing pregnancy and live birth. Finally, we review studies that offer predictive models for embryo selection for uterine transfer based on biomarkers that show differential gene expression. Reproduction (2017) 153 R69-R83

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“…There has been little overlap in the genes differentially expressed across studies and tissues; however, altered expression of Wnt-signaling pathway components was observed in both whole ovary and theca cells (92,93). Comparisons of granulosa cells from PCOS subjects with and without insulin resistance and healthy control samples has shown that insulin-resistant subjects have gene expression profiles enriched for type 2 diabetes genes, whereas non-insulinresistant subjects predominantly up-regulate inflammatory genes (95). Other studies using expression profiling from PCOS and control theca cells to perform in silico analysis of enriched transcription factor-binding sites found that the POU5 class 1 and hepatocyte nuclear factor sites are significantly overrepresented in PCOS theca expression regulation and are likely to play a role in granulosa proliferation and follicular growth and atresia (96).…”

Section: Use Of Functional Data To Identify Causal Loci/genesmentioning

confidence: 99%

Genetic determinants of polycystic ovary syndrome: progress and future directions

Jones

Goodarzi

2016

Fertility and Sterility

104

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The field of the genetics of polycystic ovary syndrome (PCOS) has relatively recently moved into the era of genome-wide association studies. This has led to the discovery of 16 robust loci for PCOS. Some loci contain genes with clear roles in reproductive (LHCGR, FSHR, and FSHB) and metabolic (INSR and HMGA2) dysfunction in the syndrome. The next challenge facing the field is the identification of causal variants and genes and the role they play in PCOS pathophysiology. The potential for gene discovery to improve diagnosis and treatment of PCOS is promising, though there is much to be done in the field before the current findings can be translated to the clinic.

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Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis

Cited by 129 publications

References 22 publications

Wilms’ Tumor 1 Overexpression in Granulosa Cells Is Associated with Polycystic Ovaries in Polycystic Ovary Syndrome Patients

Wilms’ Tumor 1 Overexpression in Granulosa Cells Is Associated with Polycystic Ovaries in Polycystic Ovary Syndrome Patients

Granulosa cell biomarkers to predict pregnancy in ART: pieces to solve the puzzle

Genetic determinants of polycystic ovary syndrome: progress and future directions

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