Polymorphisms of vascular cell adhesion molecule1 (VCAM1) in polycystic ovary syndrome determined by quantitative real-time polymerase chain reaction and melting curve analysis

Kanmaz-Özer, Müge; Vural, Pervin; Doğru‐Abbasoğlu, Semra; Gedikbaşı, Ali; Çil, Esra; Karadağ, Berrin; Uysal, Müjdat

doi:10.1016/j.ejogrb.2011.11.013

Cited by 8 publications

(6 citation statements)

References 35 publications

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“…VCAM1 [110], PDGFB (platelet derived growth factor subunit B) [121], IGF2BP1 [162], DAPK1 [183] and hsa-mir-17-5p [1683] are a potential markers for the detection and prognosis of endometriosis. VCAM1 [1232], hsa-mir-17-5p [1684] and hsa-mir-2110 [1685] are a key initiator of polycystic ovarian syndrome. A previous study reported that VCAM1 [1287], PDGFB (platelet derived growth factor subunit B) [1311], PRKCB (protein kinase C beta) [1301], hsa-mir-17-5p [1686], hsa-mir-10b-5p [1687] and TRIM28 [1688] are altered expressed in obesity.…”

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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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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“…We did not find an association between Ser128Arg polymorphisms and the risk of developing PCOS in the present sudy, indicating that these polymorphisms alone may not play a major role in the PCOS etiopathogenesis. In addition, we reported recently the lack of association between intercellular adhesion molecule 1 (ICAM1) and vascular adhesion molecule 1 (VCAM1) polymorphisms with PCOS [38,39]. However, the VCAM1 -1591 polymorphism was found to be related with increased triglyceride and decreased HDL-C in PCOS, supporting increased risk for atherosclerosis and cardiovascular disease in PCOS women [39].…”

Section: Discussionmentioning

confidence: 99%

The Ser128Arg polymorphism of E-selectin gene is not associated with polycystic ovary syndrome

Doğru‐Abbasoğlu¹,

Kanmaz-Özer²,

Vural³

et al. 2014

Turk J Bioch

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The Ser128Arg polymorphism of E-selectin gene is not associated with polycystic ovary syndrome [E-selektin genin Ser128Arg polimorfizmi polikistik over sendromu ile ilgili değildir] ABSTRACT Objective: Low-grade chronic inflammation and endothelial dysfunction have important role in the pathogenesis of polycystic ovary syndrome (PCOS). E-selectin is a cell adhesion molecule involved in first attachment and transmigration of leukocytes to activated endothelium in conditions with chronic inflammation. This study examined for the first time the possible association of Ser128Arg (c.561 A>C) single nucleotide polymorphism (SNP) of E-selectin gene with the occurrence of PCOS, and evaluates the relationship between genotypes and clinical/ biochemical characteristics of PCOS. Methods: The Ser128Arg polymorphism of E-selectin gene in DNA from peripheral blood leukocytes of 169 PCOS patients and 259 healthy control women were investigated by real-time PCR combined with melting curve analysis using fluorescence-labeled hybridization probes. Results: It was found that insulin resistance (IR) was present in 85 (50%) of women with PCOS. Additionally, insulin (72.8%) levels and HOMA (82.3%) value were higher, and QUI-KCI (13.2%) was lower in PCOS women when compared with controls. No significant association between PCOS and the variant allele of E-selectin Ser128Arg (OR: 1.17, 95% CI= 0.75-1.82) was observed. This polymorphism was found not to affect insulin resistance (IR) indices and lipid profile parameters significantly. Conclusion: These preliminary results suggest that the E-selectin Ser128Arg polymorphism is not a significant risk factor for PCOS alone. However, further studies on the same topic are necessary to support our observation before any statement can be made about the relationship between PCOS and E-selectin polymorphism. Key Words: E-selectin, insulin resistance, polycystic ovary syndrome, polymorphism. Conflict of Interest:The authors declare no conflict of interest. ÖZETAmaç: Polikistik over sendromun (PCOS) patojenezinde düşük derece kronik inflamasyon ve endotel disfonksiyonu önemli rol oynamaktadır. E-selektin, kronik inflamasyon durumlarında aktifleşen endotele lökositlerin tutunması ve transmigrasyonunu sağlayan bir hücre adezyon molekülüdür. E-selektin Ser128Arg polimorfizminin PCOS oluşumu ve PCOS'un klinik ve biyokimyasal özellikleri ilişkisi bu çalışma ile ilk kez incelenmektedir. Metod: 169 PCOS'lu ve 259 sağlıklı kadının periferik kan lökositlerinden elde edilen DNA ör-neklerinde E-selektin genin Ser128Arg polimorfizmi incelendi. Floresan etiketli hibridizasyon probları kullanarak "real-time PCR" yöntemiyle erime eğrileri analizi yapıldı. Bulgular: PCOS'lu hastalarının 85 (%50)'de insülin resistansı (IR) bulunmaktadır. Buna ilaveten, kontrollere kıyasla PCOS'lu kadınlarda insülin (%72.8) düzeyleri ve HOMA (%82.3) değerleri artmış, QUIKCI (%13.2) değerleri ise azalmış bulunmuştur. PCOS ile E-selektin Ser128Arg variant alleli arasında anlamlı bir ilişkiye rastlanmadı (OR: 1.17, 95% CI= 0.75-1.82). ...

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“…Additionally, VCAM-1 has been shown to be associated in cancer [ 68 ], autoimmune diseases [ 69 ]. VCAM-1 has been suggested to be upregulated in PCOS (Polycytic ovary syndrome) [ 70 ], where it has been shown that this gene correlates with androgen production in theca cells of mouse ovaries, [ 71 ]. Ovarian processes such as oogenesis, folliculogenesis and ovulation require close cooperation between the cytoskeleton and the extracellular matrix (ECM) which is encoded by genes described in porcine granulosa cells [ 72 ].…”

Section: Discussionmentioning

confidence: 99%

“…Many glycoproteins found in the ECM of granulosa cells have been described to influence the occurrence of diseases within the ovary, including PCOS and POI [ 107 – 109 ]. Interestingly, several genes encoding cytoskeleton-related proteins have also been described in relation to PCOS, including: TPM2, VCAM-1 [ 47 , 70 ], and in the case of COL3A1 also in the aspect of POI [ 74 , 75 ]. Given some ability to modulate cytoskeleton composition with actin-binding proteins [ 41 , 110 ], it should be possible to influence ECM composition.…”

Section: Discussionmentioning

confidence: 99%

Expression of genes regulating cell division in porcine follicular granulosa cells

Kulus,

Kranc,

Kulus

et al. 2023

Cell Div

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Background Cell cycle regulation influences the proliferation of granulosa cells and affects many processes related to ovarian folliclular growth and ovulation. Abnormal regulation of the cell cycle can lead to many diseases within the ovary. The aim of this study was to describe the expression profile of genes within granulosa cells, which are related to the formation of the cytoskeleton, organization of cell organelles inside the cell, and regulation of cell division. Established in vitro primary cultures from porcine ovarian follicle granulosa cells were maintained for 48, 96, 144 h and evaluated via microarray expression analysis. Results Analyzed genes were assigned to 12 gene ontology groups "actin cytoskeleton organization", "actin filament organization", "actin filament—based process", "cell—matrix adhesion", "cell—substrate adhesion", "chromosome segregation", "chromosome separation", "cytoskeleton organization", "DNA integrity checkpoint", "DNA replication initiation", "organelle fision", "organelle organization". Among the genes with significantly changed expression, those whose role in processes within the ovary are selected for consideration. Genes with increased expression include (ITGA11, CNN1, CCl2, TPM2, ACTN1, VCAM-1, COL3A1, GSN, FRMD6, PLK2). Genes with reduced expression inlcude (KIF14, TACC3, ESPL1, CDC45, TTK, CDC20, CDK1, FBXO5, NEK2—NIMA, CCNE2). For the results obtained by microarray expressions, quantitative validation by RT-qPCR was performed. Conclusions The results indicated expression profile of genes, which can be considered as new molecular markers of cellular processes involved in signaling, cell structure organization. The expression profile of selected genes brings new insight into regulation of physiological processes in porcine follicular granulosa cells during primary in vitro culture.

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Polymorphisms of vascular cell adhesion molecule1 (VCAM1) in polycystic ovary syndrome determined by quantitative real-time polymerase chain reaction and melting curve analysis

Cited by 8 publications

References 35 publications

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

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

The Ser128Arg polymorphism of E-selectin gene is not associated with polycystic ovary syndrome

Expression of genes regulating cell division in porcine follicular granulosa cells

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