Genetic variations in SREBP-1 and LXRα are not directly associated to PCOS but contribute to the physiological specifics of the syndrome

Associations between liver X receptor polymorphisms and blood lipids: A systematic review and meta-analysis

Genetic susceptibility to dyslipidaemia remains incompletely understood. The liver X receptors (LXRs), members of the nuclear receptor superfamily of ligand dependent transcription factors, are homeostatic regulators of lipid metabolism. Multiple single nucleotide polymorphisms (SNPs)have been identified previously in the coding and regulatory regions of the LXRs. The aim of this systematic review and meta-analysis was to summarise associations between SNPs of LXRs (α and β isoforms) with blood lipid and lipoprotein traits. Five databases (PubMed, Ovid Embase, Scopus, Web of Science, and the Cochrane Library) were systematically searched for population-based studies that assessed associations between one or more blood lipid/lipoprotein traits and LXR SNPs. Of seventeen articles included in the qualitative synthesis, ten were eligible for meta-analysis. Nine LXRα SNPs and five LXRβ SNPs were identified, and the three most studied LXRα SNPs were quantitatively summarised. Carriers of the minor allele A of LXRα rs12221497 (-115G>A) had higher triglyceride levels than GG homozygotes (0.13 mmol/L; 95%CI: [0.03, 0.23], P = 0.01). Heterozygote carriers of LXRα rs2279238 (297C/T) had higher total cholesterol levels (0.12 mmol/L; (95%CI: [0.01, 0.23], P = 0.04) than either CC or TT homozygotes. For LXRα rs11039155 (-6G>A), no significant differences in blood levels of either triglyceride (P = 0.39) or HDL-C (P = 0.98) were detected between genotypes in meta-analyses. In addition, there were no strong associations for other SNPs of LXRα and LXRβ. This study provides the evidence of an association between LXRα, but not LXRβ, SNPs and blood-lipid traits. Systematic review registration: PROSPERO No. CRD42021246158.

Visfatin and SREBP-1c mRNA Expressions and Serum Levels Among Egyptian Women with Polycystic Ovary Syndrome

Background: Obesity and insulin resistance are common features accompanying polycystic ovary syndrome (PCOS). Aim: To analyze the impact of obesity on the expression of the visfatin and sterol regulatory element-binding protein (SREBP)-1c genes among a group of Egyptian women with PCOS, and to assess their suitability as PCOS biomarkers. Subject and methods: Seventy healthy women (control group) (35 nonobese and 35 obese) and 140 women with PCOS (70 nonobese and 70 obese) were enrolled in this study. The visfatin and SREBP-1c genes' expression analyses were performed via real-time polymerase chain reaction. Serum visfatin and SREBP-1c protein levels were measured with ELISA kits. Results: Among PCOS patients, upregulation of visfatin and SREBP-1c expression was observed. We did not identify significant differences between the obese and nonobese PCOS patients nor between obese and non-obese controls. The mRNA expression levels of both genes were significantly positively correlated with their serum protein levels, as well as with fasting serum insulin levels, homeostatic model assessments of insulin resistance (HOMA-IR), luteinizing hormone (LH) ratios, LH/follicular stimulating hormone ratios, total testosterone, and free androgens. We observed significant negative correlations between visfatin and SREBP-1c expression levels and sex hormone binding globulin levels in all studied groups. Receiver operating characteristic curve analyses revealed that combining the visfatin and SREBP-1c expression data increased the sensitivity (95.92%) and specificity (93.2%) for PCOS diagnoses. Conclusion: Upregulation of visfatin and SREBP-1c was observed among PCOS patients. These genes may play a role in the pathogenesis of PCOS independent of obesity. Combined visfatin and SREBP-1c analyses could be used as a noninvasive biomarker for PCOS.

Sterol regulatory element binding protein-1 (SREBP1) gene expression is similarly increased in polycystic ovary syndrome and endometrial cancer

INTRODUCTION

Women with polycystic ovary syndrome have a three-fold higher risk of endometrial cancer. Insulin resistance and hyperlipidemia may be pertinent factors in the pathogenesis of both conditions. The aim of this study was to investigate endometrial sterol regulatory element binding protein-1 gene expression in polycystic ovary syndrome and endometrial cancer endometrium, and to correlate endometrial sterol regulatory element binding protein-1 gene expression with serum lipid profiles.

MATERIAL AND METHODS

A cross-sectional study was performed at Nottingham University Hospital, UK. A total of 102 women (polycystic ovary syndrome, endometrial cancer and controls; 34 participants in each group) were recruited. Clinical and biochemical assessments were performed before endometrial biopsies were obtained from all participants. Taqman real-time polymerase chain reaction for endometrial sterol regulatory element binding protein-1 gene and its systemic protein expression were analyzed.

RESULTS

The body mass indices of women with polycystic ovary syndrome (29.28 ± 2.91 kg/m² ) and controls (28.58 ± 2.62 kg/m² ) were not significantly different. Women with endometrial cancer had a higher mean body mass index (32.22 ± 5.70 kg/m² ). Sterol regulatory element binding protein-1 gene expression was significantly increased in polycystic ovary syndrome and endometrial cancer endometrium compared with controls (p < 0.0001). Sterol regulatory element binding protein-1 gene expression was positively correlated with body mass index (r = 0.017, p = 0.921) and waist-hip ratio (r = 0.023, p = 0.544) in polycystic ovary syndrome, but this was not statistically significant. Similarly, statistically insignificant positive correlations were found between endometrial sterol regulatory element binding protein-1 gene expression and body mass index in endometrial cancer (r = 0.643, p = 0.06) and waist-hip ratio (r = 0.096, p = 0.073). Sterol regulatory element binding protein-1 gene expression was significantly positively correlated with triglyceride in both polycystic ovary syndrome and endometrial cancer (p = 0.028 and p = 0.027, respectively). Quantitative serum sterol regulatory element binding protein-1 gene correlated with endometrial gene expression (p < 0.05).

CONCLUSIONS

Sterol regulatory element binding protein-1 gene expression is significantly increased in the endometrium of women with polycystic ovary syndrome and women with endometrial cancer compared with controls and positively correlates with serum triglyceride in both polycystic ovary syndrome and endometrial cancer.

Association between single nucleotide polymorphisms of sterol regulatory element binding protein-2 and liver X receptor α gene and risk of polycystic ovary syndrome in a Chinese Han population

To investigate associations of single nucleotide polymorphisms (SNPs) rs2228314 of sterol regulatory element-binding protein-2 (SREBP-2) or rs11039155 of liver X receptor α (LXRα) with susceptibility to polycystic ovary syndrome (PCOS) in a Chinese Han population. SREBP-2 rs2228314 and LXRα rs11039155 polymorphisms were genotyped in patients with PCOS and age- and sex-matched PCOS-free controls from a Chinese Han population. A total of 605 patients with PCOS and 615 controls were recruited in this study. We found that GC and CC genotypes of rs2228314, and variant C, were associated with a significantly increased risk of PCOS. In addition, GA and AA genotypes of rs11039155, as well as variant A, were also associated with a significantly increased risk of PCOS. Our results showed that SREBP-2 rs2228314 G to C change and variant C genotype as well as LXRα rs11039155 G to A change and variant A may contribute to PCOS in Chinese Han population.

54G/C polymorphism of SREBF-1 gene is associated with polycystic ovary syndrome

OBJECTIVE

A sterol regulatory element-binding protein (SREBF-1) transcription factor is a major regulator of lipid metabolism, carbohydrate, and plays a key role in energy homeostasis. The 54(G/C) polymorphism of SREBF-1 gene was reported that it is related with metabolic diseases including obesity, type 2 diabetes, and dyslipidemia. Among these, polycystic ovary syndrome (PCOS) is known as a common metabolic-endocrine disorder of women in reproductive ages.

STUDY DESIGN

Here, we performed a comparative study of 54(G/C) polymorphism of SREBF-1 gene with PCOS. The 54(G/C) polymorphism of SREBF-1 gene was analyzed by polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) of total 286 PCOS patients and 149 matched controls of healthy women. Statistical analysis was performed using HapAnalyzer. A p-value under 0.05 was considered statistically significant.

RESULTS

There was a strong association between the 54(G/C) polymorphism of SREBF-1 gene and PCOS (OR: 0.65, 95% CI: 0.46-0.90, p: 0.0129). The genotype and allelic frequencies were in Hardy-Weinberg equilibrium (HWE).

CONCLUSION

This is the first study on the genetic variation of SREBF-1 gene and PCOS. We concluded that 54(G/C) polymorphism of SREBF-1 gene is associated with PCOS. Therefore, our results suggest that SREBF-1 gene may play a role in genetic predisposition to PCOS, which is helpful in understanding the etiology of PCOS.

Genetic variants in central metabolic genes influence some but not all relations of inflammatory markers in a collective with polycystic ovary syndrome

Patients with polycystic ovary syndrome (PCOS) suffer, in addition to reproductive disturbances, from symptoms of the metabolic syndrome like insulin resistance, elevated coronary risk and visceral obesity. Genes with confirmed associations to the metabolic syndrome are also candidate genes for a relationship to metabolic parameters of the PCOS syndrome. The study presented indicates that genetic variants of the transcription factors LXRα or PPARγ and the PON-1 or the IGF-2 cluster are associated with altered metabolic phenotypes in PCOS patients. Next to this the absolute cytokine levels and the relation of certain cytokines to IL2, IL12 or INFγ are depending on the genotype. These observations support the hypothesis that various genetic variants in metabolic relevant genes might not only alter the metabolic characteristics within a cohort of PCOS patients but might also influence the cytokine level and the overall pattern of secreted cytokines.