Associations of ESR2 AluI (G/A) polymorphism with ischemic stroke in Caucasians

Uncovering the potential mechanism of Xue Fu Zhu Yu Decoction in the treatment of intracerebral hemorrhage

Background

Chinese herbal medicine (CHM) is characterized by “multi- compounds, multi-targets and multi-pathway”, which has advanced benefits for preventing and treating complex diseases, but there still exists unsolved issues, mainly include unclear material basis and underlying mechanism of prescription. Integrated pharmacology is a hot cross research area based on system biology, mathematics and poly-pharmacology. It can systematically and comprehensively investigate the therapeutic reaction of compounds or drugs on pathogenic genes network, and is especially suitable for the study of complex CHM systems. Intracerebral Hemorrhage (ICH) is one of the main causes of death among Chinese residents, which is characterized with high mortality and high disability rate. In recent years, the treatment of ICH by CHM has been deeply researched. Xue Fu Zhu Yu Decoction (XFZYD), one of the commonly used prescriptions in treating ICH at clinic level, has not been clear about its mechanism.

Methods

Here, we established a strategy, which based on compounds-targets, pathogenetic genes, network analysis and node importance calculation. Using this strategy, the core compounds group (CCG) of XFZYD was predicted and validated by in vitro experiments. The molecular mechanism of XFZYD in treating ICH was deduced based on CCG and their targets.

Results

The results show that the CCG with 43 compounds predicted by this model is highly consistent with the corresponding Compound-Target (C-T) network in terms of gene coverage, enriched pathway coverage and accumulated contribution of key nodes at 89.49%, 88.72% and 90.11%, respectively, which confirmed the reliability and accuracy of the effective compound group optimization and mechanism speculation strategy proposed by us.

Conclusions

Our strategy of optimizing the effective compound groups and inferring the mechanism provides a strategic reference for explaining the optimization and inferring the molecular mechanism of prescriptions in treating complex diseases of CHM.

Systematic Investigation of the Effect of Powerful Tianma Eucommia Capsule on Ischemic Stroke Using Network Pharmacology

Background

Ischemic stroke (IS) is a serious disease with a high rate of death and disability, and a growing number of people are becoming victims. Existing drugs not only have limited therapeutic effects but also have obvious side effects. Most importantly, drug resistance due to long-term or improper use of drugs is detrimental to patients. Therefore, it is urgent to find some alternative or supplementary medicines to alleviate the current embarrassment. Powerful Tianma Eucommia Capsule (PTEC) is mainly used to treat IS in China for thousands of years; however, the molecular mechanism is not clear.

Methods

Pharmacology ingredients and target genes were filtered and downloaded from websites. A pharmacology ingredient-target gene network was constructed to predict the molecular interactions between ingredients and target genes. Enrichment analysis was performed to explore the possible signal pathways. LeDock was used to simulate the interaction form between proteins and main active ingredients and to deduce key amino acid positions.

Results

Two hundred eighty-nine target genes and seventy-four pharmacological ingredients were obtained from public databases. Several key ingredients (quercetin, kaempferol, and stigmasterol) and primary core target genes (PTGS1, NCOA2, and PRSS1) were detected through ingredient-target gene network analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis demonstrated that ingredients affect networks mainly in nuclear receptor activity and G protein-coupled amine receptor activity; besides, fluid shear stress and atherosclerosis, human cytomegalovirus infection, and hepatitis B signaling pathways might be the principal therapy ways. A series of presumed key amino acid sites (189ASP, 190SER, 192GLN, 57HIS, and 99TYE) were calculated in PRSS1. Six of the target genes were differentially expressed between male and female patients.

Conclusions

Seven new putative target genes (ACHE, ADRA1A, AR, CHRM3, F7, GABRA1, and PRSS1) were observed in this work. Based on the result of GO and KEGG analysis, this work will be helpful to further demonstrate the molecular mechanism of PTEC treatment of IS.

Estrogen receptor alpha gene variant, PvuII (rs2234693), as a potential pharmacogenetic biomarker for aneurysmal subarachnoid hemorrhage in postmenopausal women

Aneurysmal subarachnoid hemorrhage (aSAH) occurs more often in postmenopausal women than in men. Estrogen plays an important role in vascular homeostasis. Our aim was to elucidate whether a drop in circulating estradiol in conjunction with variants of estrogen receptor genes have a role in female gender susceptibility to aSAH. A total of 709 subjects were enrolled (349 aSAH patients, 360 controls) and genotyped for rs2234693 or PvuII (intron 1, T>C) in the ESR1 gene and rs4986938 or AluI (exon 8, 1730G>A) of ESR2 gene by PCR-RFLP. Serum estradiol was estimated by ELISA. Estrogen receptor gene expression was studied by qRT-PCR. Logistic regression analysis indicated a significant recessive effect of the T allele of PvuII on aSAH in females, and this association remained statistically significant even after adjusting for confounders (OR 1.702, CI 95% 1.062, 2.726, P value = 0.027). ESR1 gene expression was significantly reduced (P value = 0.0089) in subjects carrying PvuII T allele. In postmenopausal women with TT genotype and low serum estradiol, the odds for developing aSAH were found to be 3.5-fold increase compared with premenopausal women (CI 95% 1.424-8.828, P value = 0.0074). However, this variant showed no significant association with aSAH in men. No significant difference was found in genotype and allelic distribution of AluI polymorphism in ESR2 gene, between patients and controls. We propose that the PvuII T allele could be a potential pharmacogenetic marker for strategizing personal medicine for preventing aSAH in postmenopausal women with low circulating estradiol. Further larger studies in other population are warranted.

Plasma estrogen levels, estrogen receptor gene variation, and ischemic arterial disease in postmenopausal women: the three-city prospective cohort study

BACKGROUND

In older postmenopausal women, high levels of endogenous estrogen have been related to adverse health outcomes including ischemic arterial disease (IAD). Whether estrogen receptor-α (ESR1) and -β (ESR2) polymorphisms modulate the effects of estrogens on IAD has not been investigated.

METHODS

In the Three-City prospective cohort study among subjects older than 65 years, we used a case-cohort design in which plasma levels of total and bioavailable 17β-estradiol were measured. After exclusion of postmenopausal women using hormone therapy, a random subcohort of 533 women and 105 incident cases of first IAD events over 4 years of follow-up were analyzed. Five common polymorphisms of ESR1 and ESR2 were genotyped. Hazard ratios (HRs) of IAD for a 1-SD increase in hormones levels by the genotypes were estimated from Cox models after adjustment for cardiovascular risk factors and a correction for multiple testing. We also investigated the role of hemostasis and inflammation as potential mediators.

RESULTS

Neither estrogens nor IAD risk was significantly associated with estrogen receptor polymorphisms. Overall, IAD risk increased with total estradiol [HR1.40, 95% confidence interval (CI) 1.11-1.77]. Stratified analysis by genotypes showed that total estradiol was positively related to IAD risk in women with ESR1 rs9340799-AA genotype but not in women with the AG/GG genotype (HR 1.62, 95% CI 1.22-2.17 and HR 1.03, 95% CI 0.81-1.30, respectively; P for interaction <.05). An additional adjustment for hemostatic variables reduced the HR by about one third in women carrying the rs9340799-AA genotype (HR 1.41, 95% CI 1.06-1.90).

CONCLUSION

The ESR1 rs9340799 genotype may modify the IAD risk related to high endogenous estrogens levels in older postmenopausal women. Hypercoagulability may act as a mediator.

Genetic polymorphisms in the ESR1 gene and cerebral infarction risk: a meta-analysis

A number of studies have documented that estrogen receptor α (ESR1) may play an important role in the development and progression of cerebral infarction, but many existing studies have yielded inconclusive results. This meta-analysis was performed to evaluate the relationships between ESR1 genetic polymorphisms and cerebral infarction risk. The PubMed, CISCOM, CINAHL, Web of Science, Google Scholar, EBSCO, Cochrane Library, and CBM databases were searched for relevant articles published before October 1, 2013, without any language restrictions. Meta-analysis was conducted using the STATA 12.0 software. Seven case-control studies were included with a total of 1471 patients with cerebral infarction and 4688 healthy control subjects. Two common single-nucleotide polymorphisms (SNPs) in the ESR1 gene (rs2234693 T>C and rs9340799 A>G) were assessed. Our meta-analysis results revealed that ESR1 genetic polymorphisms might increase the risk of cerebral infarction. Subgroup analysis by SNP type indicated that both rs2234693 and rs9340799 polymorphisms in the ESR1 gene were strongly associated with an increased risk of cerebral infarction. Further subgroup analysis by ethnicity showed significant associations between ESR1 genetic polymorphisms and increased risk of cerebral infarction among both Asians and Caucasians. In the stratified subgroup analysis by gender, the results suggested that ESR1 genetic polymorphisms were associated with an increased risk of cerebral infarction in the female population. However, there were no statistically significant associations between ESR1 genetic polymorphisms and cerebral infarction risk in the male population. Meta-regression analyses also confirmed that gender might be a main source of heterogeneity. Our findings indicate that ESR1 genetic polymorphisms may contribute to the development of cerebral infarction, especially in the female population.