Characteristics of coronary arterial lesions in patients with coronary heart disease and hypertension

Preliminary verification of lncRNA ENST00000609755.1 potential ceRNA regulatory network in coronary heart disease

BACKGROUND

This study aims to explore the possible ceRNA regulatory network of lncRNA ENST00000609755.1 in CHD patients based on the population; reveal the possible regulatory mechanism of lncRNA ENST00000609755.1.

METHOD

Microarray analysis were used to identify differentially expressed miRNA, and mRNA profiles between 5 CHD and 5 healthy controls. The lncRNA ENST00000609755.1-miRNA-mRNA ceRNA regulatory network was constructed with lncRNA ENST00000609755.1 as the core based on microarray data and related prediction software (RNAhybird, miRanda, miRWalk 2.0). Furthermore, qRT-PCR was used to verify the expression levels of miRNA and mRNA. t-test and pearson correlation analysis were used to compare the expression differences and correlations of lncRNA, miRNA and mRNA. The receiver operating characteristic (ROC) curve was used to determine the discriminative ability of lncRNA ENST00000609755.1 and its downstream targets.

RESULTS

Totally 25 miRNAs and 953 mRNAs were differentially expressed between CHD and healthy control. The lncRNA ENST00000609755.1- miRNA- mRNA ceRNA regulatory network was constructed (5 miRNA and 58 mRNA). qRT-PCR results suggest that the expression of lncRNA ENST00000609755.1 and ELK1 were up-regulated in CHD group and positively correlated, the expression of miR-150 was down-regulated in CHD, which was negatively correlated with lncRNA ENST00000609755.1 and ELK1. The AUC was 0.777(95%CI, 0.659-0.895) when miRNA-150 and ELK1 was added, which was higher than that of lncRNA ENST00000609755.1 single indicator.

CONCLUSION

LncRNA ENST00000609755.1, miR-150 and ELK1 may have a potential ceRNA regulatory network relationship which could be considered to have a good combined diagnostic value for CHD. Also, preliminarily reveal the possible mechanism of lncRNA ENST00000609755.1 involved in CHD.

Expression and clinical significance of serum cystatin C in patients with hypertension and coronary heart disease

The aim of this study is to explore the potential association between cystatin C (Cys-c) and coronary heart disease (CHD) in hypertensive patients.In this study, circulating levels of Cys-c in 62 essential hypertension (EH) patients, 147 hypertension with coronary heart disease (EH + CHD) patients, and 60 healthy volunteers were investigated using immunoturbidimetry. Then, we analyzed the correlations between Cys-C and other clinical parameters.Serum Cys-C level was significantly higher in the EH and EH + CHD groups than in the control group, and higher in the EH + CHD group than in the EH group. Receiver operating characteristic curve (ROC) analysis showed that the diagnostic value of Cys-C for patients with hypertension combined CHD was 0.871(95% CI: 0.818-0.913). Serum Cys-C level was significantly higher in the double-vessel disease group and multi-vessel disease group than in the single-vessel disease group, and higher in the multi-vessel disease group than in the double-vessel disease group. Urinary albumin and CRP correlated positively with Cys-C, and HDL correlated negatively with Cys-C. Cys-C was an independent risk factor for CHD in hypertensive patients.Our results suggested that circulating Cys-C levels was up-regulated in patients with hypertension and CHD, and had correlation with the severity of coronary artery disease. As one of the important risk factors for CHD, Cys-C can predict the occurrence of CHD in patients with hypertension.

Association of circular RNAs and environmental risk factors with coronary heart disease

Background

Coronary heart disease (CHD) is a complex disease caused by multi-factors and a major threat to human health. Circular RNAs (circRNAs) have critical roles in various biological processes and diseases. This study explores the independent role of circRNAs and their interaction with environmental factors in CHD.

Methods

A case–control study was conducted from March 2015 to September 2017 in Fuzhou, China. A total of 585 CHD patients and 585 gender- and age-matched healthy controls were enrolled. Questionnaire survey, health examination and molecular biology laboratory testing were conducted. Microarray technology and quantitative real-time polymerase chain reaction (PCR) were used to profile the expression levels of circRNAs. The area under the curve (AUC) of the receiver operating characteristic (ROC) was used to determine the diagnostic cut-offs. Multivariate logistic regression and multiplicative analysis were used to analyse the effects of environmental factors and hsa_circ_0008507, hsa_circ_0001946, hsa_circ_0000284 and hsa_circ_0125589 on CHD.

Results

The expression profile of circRNAs showed that 3423 circRNAs were differentially expressed at P < 0.05, but none pass multiple testing correction. qRT-PCR further confirmed the expression levels of hsa_circ_0008507, hsa_circ_0001946 and hsa_circ_0000284 in peripheral blood leukocytes in CHD cases were higher than those in non-CHD subjects (All p < 0.05). Hsa_circ_0008507 (OR = 1.29; 95% CI: 1.11–1.50), hsa_circ_0001946 (OR = 1.20; 95% CI: 1.01–1.42) and hsa_circ_0000284 (OR = 2.05; 95% CI: 1.32–3.19) were independent risk factors for CHD after controlling other common environmental risk factors. The AUC for hsa_circ_0008507, hsa_circ_0001946 and hsa_circ_0000284 was 0.75, 0.71 and 0.68, respectively. Compared with non-smoking individuals with low hsa_circ_0008507 expression, the smokers with high hsa_circ_0008507 expression showed the highest magnitude of OR in CHD risk. Additionally, a statistically significant multiplicative interaction was found between hsa_circ_0008507 and smoking for CHD.

Conclusions

Hsa_circ_0008507, hsa_circ_0001946 and hsa_circ_0000284 were closely related to the occurrence and development of CHD. The combination of smoking and high hsa_circ_0008507 expression causes the occurrence and development of CHD.

Electronic supplementary material

The online version of this article (10.1186/s12872-019-1191-3) contains supplementary material, which is available to authorized users.

Correlation of triglycerides with myocardial infarction and analysis of risk factors for myocardial infarction in patients with elevated triglyceride

Background

This study aims to investigate the associations of different (low/medium/high) levels of fasting triglyceride (TG) levels with cardiovascular endpoints.

Methods

This cohort study comprised of in-service and retired employees of the Kailuan Coal Mine Group, who participated in the health examination conducted in 11 hospitals in the Kailuan region from June 2006 to October 2007 (n=100,271). The study population was divided into five groups according to different TG levels. Logistic regression analysis was used to analyze the risk factors for myocardial infarction (MI) in patients with elevated TG, and Cox proportional hazards regression analysis was used to analyze the effects of different TG levels on endpoint events.

Results

After a median follow-up of 7 years, 961 patients developed MI and 3,142 subjects died. The multivariate logistic regression analysis revealed that elevated TG, an age of ≥65 years old, body mass index (BMI) >25 kg/m², fasting blood glucose (FBG) ≥6.1 mmol/L and high density lipoprotein cholesterol (HDL-C) <1.5 mmol/L were all risk factors for MI (P<0.05). Furthermore, Cox proportional hazards regression model revealed that after controlling for gender, age and other factors, with the increase in TG level, the relative risk of MI also increased. Compared to the TG1 group, the risk of MI increased to 1.32 folds in the TG4 group (95% CI: 1.05-1.66, P=0.018) and 1.61 folds in the TG5 group (95% CI: 1.21-1.93, P=0.004). Furthermore, the risk of MI combined with all-cause death and all-cause death also increased, but the differences were not all statistically significant.

Conclusions

In the study population of the Kailuan region, elevated fasting TG increases the risk of MI, particularly in populations with an age of ≥65 years old, BMI >25 kg/m², FBG ≥6.1 mmol/L and HDL-C <1.5 mmol/L.