Relationship of SELE A561C and G98T Variants With the Susceptibility to CAD

Integrated Analysis of the microRNA–mRNA Network Predicts Potential Regulators of Atrial Fibrillation in Humans

Atrial fibrillation (AF) is a form of sustained cardiac arrhythmia and microRNAs (miRs) play crucial roles in the pathophysiology of AF. To identify novel miR–mRNA pairs, we performed RNA-seq from atrial biopsies of persistent AF patients and non-AF patients with normal sinus rhythm (SR). Differentially expressed miRs (11 down and 9 up) and mRNAs (95 up and 82 down) were identified and hierarchically clustered in a heat map. Subsequently, GO, KEGG, and GSEA analyses were run to identify deregulated pathways. Then, miR targets were predicted in the miRDB database, and a regulatory network of negatively correlated miR–mRNA pairs was constructed using Cytoscape. To select potential candidate genes from GSEA analysis, the top-50 enriched genes in GSEA were overlaid with predicted targets of differentially deregulated miRs. Further, the protein–protein interaction (PPI) network of enriched genes in GSEA was constructed, and subsequently, GO and canonical pathway analyses were run for genes in the PPI network. Our analyses showed that TNF-α, p53, EMT, and SYDECAN1 signaling were among the highly affected pathways in AF samples. SDC-1 (SYNDECAN-1) was the top-enriched gene in p53, EMT, and SYDECAN1 signaling. Consistently, SDC-1 mRNA and protein levels were significantly higher in atrial samples of AF patients. Among negatively correlated miRs, miR-302b-3p was experimentally validated to suppress SDC-1 transcript levels. Overall, our results suggested that the miR-302b-3p/SDC-1 axis may be involved in the pathogenesis of AF.

Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma

Despite advancements made in the therapeutic strategies on hepatocellular carcinoma (HCC), the survival rate of HCC patient is not satisfactory enough. Therefore, there is an urgent need for the valuable prognostic biomarkers in HCC therapy. In this study, we aimed to screen hub genes correlated with prognosis of HCC via multiple databases. 117 HCC-related genes were obtained from the intersection of the four databases. We subsequently identify 10 hub genes (JUN, IL10, CD34, MTOR, PTGS2, PTPRC, SELE, CSF1, APOB, MUC1) from PPI network by Cytoscape software analysis. Significant differential expression of hub genes between HCC tissues and adjacent tissues were observed in UALCAN, HCCDB and HPA databases. These hub genes were significantly associated with immune cell infiltrations and immune checkpoints. The hub genes were correlated with clinical parameters and survival probability of HCC patients. 147 potential targeted therapeutic drugs for HCC were identified through the DGIdb database. These hub genes could be used as novel prognostic biomarkers for HCC therapy.

Effect of interaction between occupational stress and polymorphisms of MTHFR gene and SELE gene on hypertension

BACKGROUND

Gene-environment interaction is related to the prevalence of hypertension, but the impact of genetic polymorphisms on hypertension may vary due to different geography and population.

OBJECTIVE

To explore the impact of the interaction among occupational stress and MTHFR gene and SELE gene polymorphism on the prevalence of hypertension in Xinjiang oil workers.

METHODS

A case-control study was conducted on 310 oil workers. In an oilfield base in Karamay City, Xinjiang, 155 hypertensive patients aged 18~60 years old with more than one year of service were selected as the case group, and 155 oil workers without hypertension were selected as the control group according to the 1:1 matching principle (matching conditions: the gender and shift were the same. The age is around 2 years old). The Occupational Stress Scale was used to evaluate the degree of occupational stress, PCR technique was used to detect MTHFR and SELE gene polymorphism, Logistic regression analysis was used to analyze the effects of gene and occupational stress on hypertension, and gene-gene and gene-environment interactions were analyzed by generalized multi-factor dimension reduction method.

RESULTS

The G98T polymorphism of SELE gene (χ² = 6.776, P = 0.034), the C677T (χ² = 7.130, P = 0.028) and A1298C (χ² = 12.036, P = 0.002) loci of MTHFR gene and the degree of occupational stress (χ² = 11.921, P = 0.003) were significantly different between the case group and the control group. The genotypes GT at the G98T polymorphism of the SELE gene (OR = 2.151, 95% CI [1.227-3.375]), and the dominant model (AC/CC vs AA, OR = 1.925, 95% CI [1.613-3.816]); AC and CC at the A1298C polymorphism of the MTHFR gene (OR _AC = 1.917, 95% CI [1.064-3.453]; OR _CC = 2.233, 95% CI [1.082-4.609]), the additive model (CC vs AA, OR = 2.497, 95% CI [1.277-4.883]) and the dominant model (AC/CC vs AA, OR = 2.012, 95% CI [1.200-3.373]); at the C677T polymorphism of the MTHFR gene CT and TT (OR _CT = 1.913, 95% CI [1.085-3.375]; OR _TT = 3.117, 95% CI [1.430-6.795]), the additive model (CC vs AA, OR = 1.913, 95% CI [1.085-3.375]) and the dominant model (AC/CC vs AA, OR = 2.012, 95% CI [1.200-3.373]), which could increase hypertension risk (P < 0.05). The gene-gene interaction showed that there was a positive interaction between the A1298C and C677T sites of the MTHFR gene, and the gene-occupational stress interaction showed that there was a positive interaction between the A1298C and C677T sites of the MTHFR gene and the occupational stress.

CONCLUSION

The interaction of gene mutation and occupational stress in Xinjiang oil workers maybe increase the risk of hypertension.

Candidate Gene Polymorphisms Influence the Susceptibility to Salt Sensitivity of Blood Pressure in a Han Chinese Population: Risk Factors as Mediators

Genome-wide association studies suggest that there is a significant genetic susceptibility to salt sensitivity of blood pressure (SSBP), but it still needs to be verified in varied and large sample populations. We attempted to verify the associations between single-nucleotide polymorphisms (SNPs) in candidate genes and SSBP and to estimate their interaction with potential risk factors. A total of 29 candidate SNPs were genotyped in the 2,057 northern Han Chinese population from the Systems Epidemiology Study on Salt Sensitivity. A modified Sullivan’s acute oral saline load and diuresis shrinkage test (MSAOSL-DST) was used to identify SSBP. A generalized linear model was conducted to analyze the association between SNPs and SSBP, and Bonferroni correction was used for multiple testing. Mediation analysis was utilized to explore the mediation effect of risk factors. Eleven SNPs in eight genes (PRKG1, CYBA, BCAT1, SLC8A1, AGTR1, SELE, CYP4A11, and VSNL1) were identified to be significantly associated with one or more SSBP phenotypes (P < 0.05). Four SNPs (PRKG1/rs1904694 and rs7897633, CYP4A11/rs1126742, and CYBA/rs4673) were still significantly associated after Bonferroni correction (P < 0.0007) adjusted for age, sex, fasting blood glucose, total cholesterol, salt-eating habit, physical activity, and hypertension. Stratified analysis showed that CYBA/rs4673 was significantly associated with SSBP in hypertensive subjects (P < 0.0015) and CYP4A11/rs1126742 was significantly associated with SSBP in normotensive subjects (P < 0.0015). Subjects carrying both CYBA/rs4673-AA and AGTR1/rs2638360-GG alleles have a higher genetic predisposition to salt sensitivity due to the potential gene co-expression interaction. Expression quantitative trait loci analysis (eQTL) suggested that the above positive four SNPs showed cis-eQTL effects on the gene expression levels. Mediation analysis suggested that several risk factors were mediators of the relation between SNP and SSBP. This study suggests that the genetic variants in eight genes might contribute to the susceptibility to SSBP, and other risk factors may be the mediators.

Association of E-Selectin gene rs5361 polymorphism with ischemic stroke susceptibility: a systematic review and Meta-analysis

BACKGROUND

Over the years, a number of published studies showed that E-Selectin gene rs5361 (S128R, Ser128Arg, A561C) variants were associated with the risk of ischemic stroke (IS). However, the results of those case-control studies were still equivocal. Therefore, we performed this meta-analysis to clarify the relationship between E-Selectin gene rs5361 polymorphism and IS risk.

METHODS

We searched the Web of Science, PubMed, VIP, CNKI (China National Knowledge Infrastructure) and Wanfang databases for obtainning the eligible studies according to the inclusion and exclusion criteria. Odds ratios (ORs) with its 95% confidence intervals (CIs) were calculated to evaluate the relationship of E-Selectin gene rs5361 polymorphism with IS susceptibility under the dominant and allelic model with fixed or random effects model.

RESULTS

Totally, 13 studies with 2888 cases and 2976 controls were selected in this systematic review and meta-analysis This meta-analysis obtained that E-Selectin gene rs5361variants contributed to increase the risk of IS (C vs. A: OR = 2.23, 95%CI = 1.70-2.92, p < 0.001). We also performed a sub-analysis by ethnicity, the results indicated that rs5361 variants were related to an increased risk of IS (East Asian population: C vs. A: OR = 1.97, 95%CI =1.58-2.45, p < 0.001; African population: C vs. A: OR = 5.52, 95%CI = 3.48-8.76, p < 0.001; Caucasian population: C vs. A: OR =1.67, 95%CI =1.32-2.10, p < 0.001).

CONCLUSIONS

Therefore, our meta-analysis suggested that C allele, AA and AC genotypes of E-Selectin gene rs5361 variants were related to an increased risk of IS in overall populations.

E-selectin gene haplotypes are associated with the risk of myocardial infarction

INTRODUCTION

Endothelial dysfunction is one of the most important factors implicated in the pathogenesis of coronary artery disease (CAD). The aim of this study was to investigate the association of the E-selectin gene (SELE) with CAD and CAD-related traits using tagging polymorphisms.

MATERIAL AND METHODS

A total of 379 Polish patients who had undergone angiography were included: 261 patients with angiographically documented CAD, 202 CAD patients without myocardial infarction (CAD/MI(-) group) and 59 patients with myocardial infarction (CAD/MI(+) group) as well as 118 healthy control subjects (non-CAD). Eight tagging single nucleotide polymorphisms (SNPs) in the SELE gene were selected using genotype data from HapMap. Genotyping was performed using PCR-RFLP and PCR-DHPLC methods.

RESULTS

The most common SELE haplotype in this analysis ([C;G;T;C;G;T], 31.2%) showed a negative association with myocardial infarction (MI) (CAD/MI(+) vs. non-CAD) under the additive (p = 0.001), dominant (p = 0.006) and recessive (p = 0.012) model. Two other haplotypes ([C;G;C;C;A;C], [C;A;C;A;G;T], 5.73% and 18.1%, respectively) were also negatively associated with MI under the additive and dominant model. We also found two haplotypes ([T;G;T;C;G;T], [C;G;C;C;A;T], 1.52% and 6.71%, respectively) associated with the risk for MI (CAD/MI(+) vs. CAD/MI(-)), acting in both additive (p = 0.04, p = 0.007, respectively) and dominant (p = 0.04, p = 0.004, respectively) manner. There was no association with either CAD/MI(-) or with severity of CAD expressed as the number of vessels involved.

CONCLUSIONS

Our results suggest that SELE is one of the independent genetic factors modifying the risk of myocardial infarction.

Gene-Centric Analysis of Preeclampsia Identifies Maternal Association at PLEKHG1

The genetic susceptibility to preeclampsia, a pregnancy-specific complication with significant maternal and fetal morbidity, has been poorly characterized. To identify maternal genes associated with preeclampsia risk, we assembled 498 cases and 1864 controls of European ancestry from preeclampsia case-control collections in 5 different US sites (with additional matched population controls), genotyped samples on a cardiovascular gene-centric array composed of variants from ≈2000 genes selected based on prior genetic studies of cardiovascular and metabolic diseases and performed case-control genetic association analysis on 27 429 variants passing quality control. In silico replication testing of 9 lead signals with P<10-4 was performed in independent European samples from the SOPHIA (Study of Pregnancy Hypertension in Iowa) and Inova cohorts (212 cases, 456 controls). Multiethnic assessment of lead signals was then performed in samples of black (26 cases, 136 controls), Hispanic (132 cases, 468 controls), and East Asian (9 cases, 80 controls) ancestry. Multiethnic meta-analysis (877 cases, 3004 controls) revealed a study-wide statistically significant association of the rs9478812 variant in the pleiotropic PLEKHG1 gene (odds ratio, 1.40 [1.23-1.60]; Pmeta=5.90×10-7). The rs9478812 effect was even stronger in the subset of European cases with known early-onset preeclampsia (236 cases diagnosed <37 weeks, 1864 controls; odds ratio, 1.59 [1.27-1.98]; P=4.01×10-5). PLEKHG1 variants have previously been implicated in genome-wide association studies of blood pressure, body weight, and neurological disorders. Although larger studies are required to further define maternal preeclampsia heritability, this study identifies a novel maternal risk locus for further investigation.

Polymorphisms in the selectin gene cluster are associated with fertility and survival time in a population of Holstein Friesian cows

Selectins are adhesion molecules, which mediate attachment between leucocytes and endothelium. They aid extravasation of leucocytes from blood into inflamed tissue during the mammary gland’s response to infection. Selectins are also involved in attachment of the conceptus to the endometrium and subsequent placental development. Poor fertility and udder health are major causes for culling dairy cows. The three identified bovine selectin genes SELP, SELL and SELE are located in a gene cluster. SELP is the most polymorphic of these genes. Several SNP in SELP and SELE are associated with human vascular disease, while SELP SNP rs6127 has been associated with recurrent pregnancy loss in women. This study describes the results of a gene association study for SNP in SELP (n = 5), SELL (n = 2) and SELE (n = 1) with fertility, milk production and longevity traits in a population of 337 Holstein Friesian dairy cows. Blood samples for PCR-RFLP were collected at 6 months of age and animals were monitored until either culling or 2,340 days from birth. Three SNP in SELP_Ex4-6 formed a haplotype block containing a Glu/Ala substitution at rs42312260. This region was associated with poor fertility and reduced survival times. SELP_Ex8 (rs378218397) coded for a Val475Met variant locus in the linking region between consensus repeats 4 and 5, which may influence glycosylation. The synonymous SNP rs110045112 in SELE_Ex14 deviated from Hardy Weinberg equilibrium. For both this SNP and rs378218397 there were too few AA homozygotes present in the population and AG heterozygotes had significantly worse fertility than GG homozygotes. Small changes in milk production associated with some SNP could not account for the reduced fertility and only SELP_Ex6 showed any association with somatic cell count. These results suggest that polymorphisms in SELP and SELE are associated with the likelihood of successful pregnancy, potentially through compromised implantation and placental development.