Expression of ADR-α1, 2 and ADR-β2 in cumulus cell culture of infertile women with polycystic ovary syndrome and poor responder who are a candidate for IVF: the novel strategic role of clonidine in this expression

Zangeneh, Farideh Zafari; Bagheri, Maryam; Shoushtari, Maryam Sarmast; Naghizadeh, Mohammad Mehdi

doi:10.1080/10799893.2020.1806320

Cited by 4 publications

(5 citation statements)

References 67 publications

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“…Interestingly, among women with low ovarian volume the influence of ADR-α1, 2 and ADR-β2 are predetermined by the depletion of gene expression and this has been shown to result in ovarian aging and DOR [ 49 ].…”

Section: Resultsmentioning

confidence: 99%

“…The ADR cluster genes are involved in the regulation of lipid and carbohydrate metabolism, blood pressure, and heart function through expression products—adrenergic receptors. Mutations and polymorphisms of these genes can lead to the development of various diseases: arterial hypertension, heart disorders, ischemia, obesity, type I and II diabetes mellitus and insulin resistance [ 59 , 60 ].…”

Section: Resultsmentioning

confidence: 99%

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Genetic determination of the ovarian reserve: a literature review

et al. 2021

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The ovarian reserve is one of the most important indicators of female fertility. It allows for the evaluation of the number of viable oocytes. This parameter is actively used in pregnancy planning and in assisted reproductive technology application, as it determines chances of successful fertilization and healthy pregnancy. Due to increased attention towards diagnostic tests evaluating the ovarian reserve, there has been a growing interest in factors that influence the state of the ovarian reserve. True reasons for pathological changes in the ovarian reserve and volume have not yet been explored in depth, and current diagnostic screening methods often fall short in efficacy. In the following review we analyze existing data relating to the study of the ovarian reserve through genetic testing, determining specific characteristics of the ovarian reserve through genetic profiling. We explore existing studies dedicated to finding specific genetic targets influencing the state of the ovarian reserve.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Genetic determination of the ovarian reserve: a literature review

et al. 2021

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“…Studies show that VCAM1 [761], SNCA (synuclein alpha) [1026], ADRB2 [1073], FOXQ1 [1044], PRKD1 [1188], DAPK1 [947], ACTC1 [1192], CST1 [1030], NFIB (nuclear factor I B) [1198] and ERG (ETS transcription factor ERG) [1661] are involved in the process of inflammation. VCAM1 [1232] and ADRB2 [969] are an important regulator of the polycystic ovarian syndrome. VCAM1 [1287], PRKCB (protein kinase C beta) [1301] and ADRB2 [1319] might be regarded as a valuable biomarkers for diagnosis, treatment and prognosis of obesity.…”

Section: Discussionmentioning

confidence: 99%

“…Altered expression of VCAM1 [1462], SNCA (synuclein alpha) [1468], PRKCB (protein kinase C beta) [1476] and ADRB2 [653] are involved in the development and progression of diabetes mellitus. ADRB2 [969] has been known to be involved in cancer progression infertility. ADRB2 [1606] is molecular marker for pain.…”

Section: Discussionmentioning

confidence: 99%

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

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Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain with intercourse and infertility. However, the early diagnosis of endometriosis is still restricted. The purpose of this investigation is to identify and validate the key biomarkers of endometriosis. Next generation sequencing (NGS) dataset GSE243039 was obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) between endometriosis and normal control samples were identified. After screening of DEGs, gene ontology (GO) and REACTOME pathway enrichment analyses were performed. Furthermore, a protein-protein interaction (PPI) network was constructed and modules were analysed using the Human Integrated Protein-Protein Interaction rEference (HIPIE) database and Cytoscape software, and hub genes were identified. Subsequantely, a network between miRNAs and hub genes, and network between TFss and hub genes were constructed using the miRNet and NetworkAnalyst tool, and possible key miRNAs and TFs were predicted. Finally, receiver operating characteristic curve (ROC) analysis was used to validate the hub genes. A total of 958 DEGs, including 479 up regulated genes and 479 down regulated genes, were screened between endometriosis and normal control samples. GO and REACTOME pathway enrichment analyses of the 958 DEGs showed that they were mainly involved in multicellular organismal process, developmental process, signaling by GPCR and muscle contraction. Further analysis of the PPI network and modules identified 10 hub genes, including VCAM1, SNCA, PRKCB, ADRB2, FOXQ1, MDFI, ACTBL2, PRKD1, DAPK1 and ACTC1. Possible target miRNAs, including hsa-mir-3143 and hsa-mir-2110, and target TFs, including TCF3 and CLOCK, were predicted by constructing a miRNA-hub gene regulatory network and TF-hub gene regulatory network. This investigation used bioinformatics techniques to explore the potential and novel biomarkers. These biomarkers might provide new ideas and methods for the early diagnosis, treatment, and monitoring of endometriosis.

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“…52 The results of our study support earlier studies and propose that these mechanisms are involved in obesity and that the inflammatory mechanism inherent to PCOS may be mediated by GCs under the influence of DHEAS. Other pathways show that there are multiple pathways of PCOS that are activated when MGCs are exposed to DHEAS, such as alpha adrenergic receptor signaling, 53 beta adrenergic receptor signaling, 54 and endogenous cannabinoids, 55 along with the involvement of endothelin, GABA-B receptor II, interleukin, TGF-beta, thyrotropin-releasing hormone receptor, Toll receptor, VEGF, p38 MAPK, PGDF, and enkephalin release. Treatment of CGCs with DHEAS shows altered 2-arachidonoylglycerol biosynthesis, 56 adrenaline and noradrenaline biosynthesis, alpha adrenergic receptor signaling, 34 TGF-beta signaling, 57 Toll receptor signaling, 58 VEGF signaling, 59 and PI3 kinase.…”

Section: Discussionmentioning

confidence: 99%

Protein Expression and Bioinformatics Study of Granulosa Cells of Polycystic Ovary Syndrome Expressed Under the Influence of DHEA

Pant,

Sircar,

Prasad

et al. 2023

Clin Med Insights Endocrinol Diabetes

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Background: The reproductive system is heavily dependent on ovarian follicles, which are made up of germ cells (oocytes) and granulosa cells (GCs), including cumulus granulosa cells (CGCs) and mural granulosa cells (MGCs). Understanding their normal and steroid-induced functions is the key to understanding the pathophysiology of endocrinal diseases in women. Objective: This study investigated the differentially expressed proteins by CGCs and MGCs of patients with polycystic ovarian syndrome (PCOS) and without subsequent exposure to dehydroepiandrosterone sulfate (DHEAS) and functional differentiation. Design: The present study was observational and experimental study carried out in hospital involving 80 female patients undergoing IVF for infertility. Methods: In this study, we isolated CGCs and MGCs from the follicular fluid of both PCOS and non-PCOS patients undergoing in vitro fertilization (IVF). The cells were cultured and treated with DHEAS for 48 hours, and these cells were extracted, digested, and analyzed by tandem mass spectrometry followed by processing of the results using open-source bioinformatics tools. Results: The present investigation discovered 276 and 341 proteins in CGCs and MGCs, respectively. DHEAS reduced the number of proteins expressed by CGCs and MGCs to 34 and 57 from 91 and 94, respectively. Venn results of CGCs revealed 49, 53, 36, and 21 proteins in normal CGCs, PCOS-CGCs, post-DHEAS, and PCOS-CGCs, respectively. Venn analysis of MGCs showed 51 proteins specific to PCOS and 29 shared by normal and PCOS samples after DHEAS therapy. MGCs express the most binding and catalytic proteins, whereas CGCs express transporter-related proteins. A protein pathway study demonstrated considerable differences between normal and PCOS samples, while DHEAS-treated samples of both cell lines showed distinct pathways. String findings identified important network route components such as albumin, actin, apolipoprotein, complement component C3, and heat shock protein. Conclusion: This is the first study to show how DHEAS-induced stress affects the expression of proteins by MGCs and CGCs isolated from normal and PCOS patients. Further studies are recommended to identify PCOS biomarkers from CGCs and MGCs expressed under the influence of DHEAS.

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Expression of ADR-α1, 2 and ADR-β2 in cumulus cell culture of infertile women with polycystic ovary syndrome and poor responder who are a candidate for IVF: the novel strategic role of clonidine in this expression

Cited by 4 publications

References 67 publications

Genetic determination of the ovarian reserve: a literature review

Genetic determination of the ovarian reserve: a literature review

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis

Protein Expression and Bioinformatics Study of Granulosa Cells of Polycystic Ovary Syndrome Expressed Under the Influence of DHEA

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