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

Expression of genes regulating cell division in porcine follicular granulosa cells

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.

Dyslipidemia involvement in the development of polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is widely accepted as the most common endocrine abnormality in women of childbearing age and may be accompanied by dyslipidemia, hyperandrogenism, hyperinsulinemia, oxidative stress and infertility. Dyslipidemia is now known to play an important role in the development of PCOS. Lipid abnormalities, including elevated low-density lipoprotein and triglyceride levels and reduced high-density lipoprotein levels, are often found in women with PCOS and play an important role in PCOS; therefore, we summarize the effect of lipid abnormalities on hyperandrogenism, insulin resistance, oxidative stress and infertility in PCOS and review the effects of common lipid-lowering drugs on patients with PCOS. The purpose of this article is to elucidate the mechanisms of lipid metabolism abnormalities in the development of PCOS.

The ICAM-1 Gly241Arg Polymorphism is Not Associated With Polycystic Ovary Syndrome - Results from a Case Control study in Kashmir, India

BACKGROUND

Polycystic ovary syndrome (PCOS) is considered to be a multifactorial disorder resulting from the interaction of several predisposing and protective genetic variants. PCOS is associated with low-grade chronic inflammation. Elevated levels of inflammatory markers including intercellular adhesion molecule-1 (ICAM-1) are demonstrated in women with PCOS. Recent evidence indicates a significant linkage between a locus on chromosome 19p13 and multifactorial diseases that have an inflammatory component. The aim of the study was to assess the possible association of Gly241Arg polymorphism of ICAM-1 gene located on chromosome 19p13 in determining risk of PCOS in Kashmiri women.

MATERIALS AND METHODS

Gly241Arg SNP in DNA from peripheral blood leukocytes of 220 PCOS cases and 220 age matched non-PCOS healthy controls was analysed using allel specific PCR.

RESULTS

The genotype and allele frequency distributions of Gly241Arg SNP showed insignificant difference between the PCOS cases and control women, indicating no role of this SNP in PCOS susceptibility. The odds ratio for Arg/Arg genotype was 0.87 (95% CI=0.32-2.3) [P=0.79], for Gly/Arg genotype was 0.98 (95% CI= 0.66-1.47) [P=1] and for Arg/Arg+Gly/Arg genotype was 0.97 (95% CI=0.65-1.45) [P=0.92]. The genotypic frequencies of ICAM-1codon 241 showed statistically insignificant difference between cases and controls (χ2=0.07; p=0.96) Nor the studied polymorphism was found to affect clinical and laboratory parameters significantly.

CONCLUSIONS

Although Gly241Arg polymorphism have not shown significant association with PCOS. Further, specifically designed studies on large cohorts are required to conclusively establish any role of ICAM-1 gene polymorphisms in PCOS in our study.

Genome-wide identification of allele-specific expression in response to Streptococcus suis 2 infection in two differentially susceptible pig breeds

Although allele expression imbalance has been recognized in many species, and strongly linked to diseases, no whole transcriptome allele imbalance has been detected in pigs during pathogen infections. The pathogen Streptococcus suis 2 (SS2) causes serious zoonotic disease. Different pig breeds show differential susceptibility/resistance to pathogen infection, but the biological insight is little known. Here we analyzed allele-specific expression (ASE) using the spleen transcriptome of four pigs belonging to two phenotypically different breeds after SS2 infection. The comparative analysis of allele specific SNPs between control and infected animals revealed 882 and 1096 statistically significant differentially expressed allele SNPs (criteria: ratio ≧ 2 or ≦ 0.5) in Landrace and Enshi black pig, respectively. Twenty nine allelically imbalanced SNPs were further verified by Sanger sequencing, and later six SNPs were quantified by pyrosequencing assay. The pyrosequencing results are in agreement with the RNA-seq results, except two SNPs. Looking at the role of ASE in predisposition to diseases, the discovery of causative variants by ASE analysis might help the pig industry in long term to design breeding programs for improving SS2 resistance.