ESR1 gene polymorphisms PvuII (rs2234693T>C) and XbaI (rs9340799A>G) may not be directly correlated with cardiovascular disease risk

Association of the ESR1 (rs9340799), OLR1 (rs3736234), LIPC (rs2070895), VDR (rs2228570), and CETP (rs708272) Polymorphisms With Risk of Coronary Artery Disease in Iranian Patients

BACKGROUND

Coronary artery disease (CAD) is a devastating illness and a leading cause of death worldwide, primarily caused by atherosclerosis resulting from a genetic-environmental interaction. This study aimed to investigate the relationship between the ESR1 (rs9340799), OLR1 (rs3736234), LIPC (rs2070895), VDR (rs2228570), and CETP (rs708272) polymorphisms, lipid profile parameters, and CAD risk in a southeast Iranian population.

METHODS

A total of 400 subjects (200 CAD patients with hyperlipidemia and 200 healthy controls) were enrolled in this case-control study. Five selected polymorphisms were genotyped using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique.

RESULTS

For all single nucleotide polymorphisms (SNPs), the population under study was in the Hardy-Weinberg equilibrium. The T-risk allele frequency of rs2228570 was associated with an increased risk of CAD. The TT and CT genotypes of rs2228570 had also been associated with the risk of CAD. Additionally, the TT genotype was associated with higher serum low-density lipoprotein cholesterol (LDL-c) and high-density lipoprotein cholesterol (HDL-c) levels. The GG genotype of the rs3736234 was associated with higher body mass index (BMI) and triglyceride (TG) levels, and the AA genotype of the rs708272 was associated with higher HDL-c levels. Based on these findings, we propose that the VDR (rs2228570) polymorphism was associated with serum HDL-c and LDL-c levels and may serve as potential risk factors for CAD within the Iranian population. Moreover, rs3736234 and rs708272 influence the concentrations of TG and HDL-c, respectively.

CONCLUSION

These findings provided insights into the complex interplay between genetic variations, cardiovascular risk, and lipid metabolism.

Correlation Between Estrogen Receptor α Gene Polymorphism (c454-397T>C) with Serum Estradiol Levels and Known Risk Factors in Patients with Myocardial Infarction

Myocardial infarction (MI) remains the most common cause of cardiac failure and continuous increasing rate of morbidity and mortality. We aimed to investigate the association of estrogen receptor-α (ESR1) gene polymorphism c454-397T>C with serum estradiol levels and dyslipidemia in 220 patients with MI in the age range of 35-70 years of both the genders. Genotyping study was performed through PCR-RFLP method using PvuII restriction enzyme. Serum estradiol level was estimated using the Access Sensitive Estradiol assay kit. Men patients had 43.2% increased risk for TC heterozygote in co-dominant (OR 10.66) and over-dominant models (OR 8.30), while women patients had 50% increased risk in co-dominant (OR 16.57) and over-dominant (OR 14.04) models. Variant C allele showed 25% increased risk of MI for in men (OR 2.24; CI 1.49-3.36; p = 0.0001), and 24% increased risk in women (OR 3.35; CI 1.95-5.76; p = 0.0001). Men patients had significantly increased serum estradiol levels compared to controls (25.28 ± 5.80 vs 17.04 ± 2.01; p < 0.0001). Significant difference was observed in estradiol levels between men and women patients (25.28 ± 5.80 vs 17.56 ± 3.32; p < 0.0001). Furthermore, significantly increased estradiol level was found in men patients compared to women for TT (25.46 ± 5.91 vs 16.71 ± 4.46; p < 0.0001), and TC genotypes (25.47 ± 5.91 vs 17.70 ± 2.86; p < 0.0001). Significantly increased HDL levels were observed in men patients with TC (43.10 ± 8.18 vs 38.91 ± 7.84; p < 0.01) and CC (47.16 ± 8.09 vs 38.91 ± 7.84; p < 0.001) genotypes compared to TT genotype. These findings suggest that TC heterozygote plays an important role as a genetic risk factor during MI pathogenesis in the South Indian population.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12291-022-01104-1.

Association of ESR1 (rs2234693 and rs9340799), CETP (rs708272), MTHFR (rs1801133 and rs2274976) and MS (rs185087) polymorphisms with Coronary Artery Disease (CAD)

Background

Coronary artery disease (CAD) is a complex disease resulting from the cumulative and interactive effects of large number of genes along with environmental exposure. Therefore, the present study was envisaged as an effort to study the association of candidate genes ESR1 (rs2234693 and rs9340799), CETP (rs708272), MTHFR (rs1801133 and rs2274976) and MS (rs185087) polymorphisms with the risk of CAD, targeting the populations of Jammu (JandK).

Method

A total of 400 confirmed CAD patients and 400 healthy controls were enrolled for the present study. Genotyping was done by polymerase chain reaction- restriction fragment length polymorphism (PCR-RFLP).

Results

ESR1 gene (rs9340799) polymorphism was found to be associated with CAD in all the genetic models. The haplotype analysis of ESR1 (rs2234693 and rs9340799) gene revealed that C-G haplotype was conferring approximately 5-fold risk and T-A haplotype was adding 1.4-fold risk towards the disease. ‘T’ allele of MTHFR rs1801133 SNP was observed to be responsible for development of CAD in our study population (p < 0.0001). In case of MTHFR (rs1801133 and rs2274976) gene, the haplotype T-G was observed to confer 4.7-fold risk towards CAD whereas haplotype C-G provided nearly a 1.7 fold protection towards development of CAD. For MS gene, rs185087 was also found to be associated with CAD in a co-dominant (p = 0.003 and p = 0.03), dominant (p = 0.001) and allelic models (p = 0.001). The gene-gene interaction revealed strong epistasis between single nucleotide polymorphisms (SNPs), ESR1 rs9340799 and MTHFR rs2274976. Furthermore, the dendrogram for gene-environment dataset indicated moderately synergistic interaction between CETP rs708272 and physical inactivity.

Conclusion

In the study under reference, a significant association of ESR1-XbaI (rs9340799), MTHFR C677T (rs1801133) and MS A2756G (rs185087) gene polymorphisms with the susceptibility of CAD in the population of Jammu region (JandK) has been observed.

Clinical Importance of Estrogen Receptor 1 (ESR1) Gene Polymorphisms and Their Expression Patterns in Coronary Artery Disease Patients: A Study from India

The influence of Estrogen Receptor 1 (ESR1) gene -397T>C (PvuII) and -351A>G (XbaI) polymorphisms on the risk of development of coronary artery disease (CAD) in the north Indian population was analysed. We hypothesized that ESR1 gene polymorphisms may influence the susceptibility to CAD through variation in Estrogen Receptor α (ERα) expression. To assess this concept, we evaluated ERα mRNA expression in blood plasma of CAD patients. The study included hundred CAD patients who showed presence of greater than 50% luminal stenosis in at least one major coronary artery in angiography along with hundred age and sex matched healthy controls. The ESR1 polymorphisms were investigated by PCR-RFLP. Quantitative Real Time PCR was carried out for the measurement of ERα mRNA expression. The results showed that genotypic frequencies of ESR1 -397T>C and -351A>G gene polymorphisms were significantly higher in CAD patients than control subjects (p < 0.0001). A significantly increased CAD risk was also found in dominant and codominant inheritance model for both of the SNPs. In gender based analysis these findings were replicated only in male subgroup. In case of -397T>C polymorphism, the ERα mRNA expression was highest in CAD patients with wild type homozygous TT genotype (2^-∆ct = 0.28). A mutant 'C' allele, dose dependent, significant decrease in trend in ERα mRNA expression was observed, with lowest expression in mutant homozygous CC genotype (2^-∆ct = 0.09), and intermediate expression level in heterozygous TC genotype (2^-∆ct = 0.14) subgroups of CAD patients. In conclusion, this study demonstrates a significantly heightened risk of CAD associated with the inheritance of mutant genotypes of ESR1 -397T>C and -351A>G gene polymorphisms, in the north Indian population. This is the first report of a lowered ERα mRNA expression in conjunction with the presence of mutant 'C' allele of ESR1 -397T>C polymorphism with consequent increased CAD susceptibility.

Application of Single-Nucleotide Polymorphism-Related Risk Estimates in Identification of Increased Genetic Susceptibility to Cardiovascular Diseases: A Literature Review

Background

Although largely preventable, cardiovascular diseases (CVDs) are the biggest cause of death worldwide. Common complex cardiovascular disorders (e.g., coronary heart disease, hypertonia, or thrombophilia) result from a combination of genetic alterations and environmental factors. Recent advances in the genomics of CVDs have fostered huge expectations about future use of susceptibility variants for prevention, diagnosis, and treatment. Our aim was to summarize the latest developments in the field from a public health perspective focusing on the applicability of data on single-nucleotide polymorphisms (SNPs), through a systematic review of studies from the last decade on genetic risk estimating for common CVDs.

Methods

Several keywords were used for searching the PubMed, Embase, CINAHL, and Web of Science databases. Recent advances were summarized and structured according to the main public health domains (prevention, early detection, and treatment) using a framework suggested recently for translational research. This framework includes four recommended phases: “T1. From gene discovery to candidate health applications; T2. From health application to evidence-based practice guidelines; T3. From evidence-based practice guidelines to health practice; and T4. From practice to population health impacts.”

Results

The majority of translation research belongs to the T1 phase “translation of basic genetic/genomic research into health application”; there are only a few population-based impacts estimated. The studies suggest that an SNP is a poor estimator of individual risk, whereas an individual’s genetic profile combined with non-genetic risk factors may better predict CVD risk among certain patient subgroups. Further research is needed to validate whether these genomic profiles can prospectively identify individuals at risk to develop CVDs. Several research gaps were identified: little information is available on studies suggesting “Health application to evidence-based practice guidelines”; no study is available on “Guidelines to health practice.” It was not possible to identify studies that incorporate environmental or lifestyle factors in the risk estimation.

Conclusion

Currently, identifying populations having a larger risk of developing common CVDs may result in personalized prevention programs by reducing people’s risk of onset or disease progression. However, limited evidence is available on the application of genomic results in health and public health practice.

Network analysis identifies common genes associated with obesity in six obesity-related diseases

Obesity has been reported to be associated with many diseases. However, common obesity-induced biological processes have not been evaluated across these diseases. We identified genes associated with obesity and obesity-related diseases, and used them to construct protein‒protein interaction networks. We also analyzed gene ontology (GO) in those genes overlapping between obesity and disease. Our work identifies gene modules common to obesity and obesity-related diseases, which can provide a basis for understanding the process of how obesity induces disease.