ABSTRACT
Recent studies in animal models and humans show that long non-coding RNAs (lncRNAs) are involved in the development of atherosclerosis, which contributes to the pathological foundation of coronary artery disease (CAD). LncRNAs in plasma and serum have been considered as promising novel biomarkers for diagnosis and prognosis of cardiovascular diseases, especially CAD. We here measured the circulating levels of 8 individual lncRNAs which are known to be relevant to atherosclerosis in the plasma samples from 300 patients with CAD and 180 control subjects by using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) methods. We found that the plasma level of H19 and long intergenic non-coding RNA predicting cardiac remodeling (LIPCAR) were significantly increased in patients with CAD. The area under the receiver operating characteristic curve was 0.631 for H19 and 0.722 for LIPCAR. Multivariate logistic regression analyses indicated that plasma H19 and LIPCAR were independent predictors for CAD, even after adjustment for traditional cardiovascular risk factors. Further studies identified that plasma levels of H19 and LIPCAR were also increased in CAD patients with heart failure compared to those with normal cardiac function. Taken together, our results suggest that increased plasma levels of H19 and LIPCAR are associated with increased risk of CAD and may be considered as novel biomarkers for CAD.
Subject(s)
Coronary Artery Disease/diagnosis , Heart Failure/diagnosis , RNA, Long Noncoding/genetics , Adult , Aged , Area Under Curve , Asian People , Atrial Remodeling/genetics , Biomarkers/blood , Case-Control Studies , Coronary Artery Disease/blood , Coronary Artery Disease/ethnology , Coronary Artery Disease/genetics , Female , Heart Failure/blood , Heart Failure/ethnology , Heart Failure/genetics , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Prognosis , RNA, Long Noncoding/blood , ROC Curve , Risk , Ventricular Remodeling/geneticsABSTRACT
The aim of the present study was to assessthe association between green tea intake and incidence of atrial fibrillation (AF) in a Chinese population. A total of 801 (mean age: 62 years; 56% male) subjects were enrolled: 401 AF patients and 400 controls. All subjects completed a questionnaire and the associations between their green tea drinking habits and incidence of AF were assessed using the odds ratio (OR) and binary logistic regression. After multivariate adjustment, green tea intake presented as a protective factor against the incidence of AF (OR: 0.349, 95% CI: 0.253-0.483, P < 0.001). The green tea protection showed downward trend with increasing green tea intake (P for the trend= 0.001). Low frequency, low concentration, short-term tea consumption was classified as low-dose green tea intake. Green tea intake decreased the incidence of both paroxysmal AF (OR: 0.307, 95% CI: 0.216-0.436, P < 0.001) and persistent AF (OR: 0.355, 95% CI: 0.261-0.482, P < 0.001) and may be associated with a decreased incidence of AF. This study suggests that low-dose green tea intake strongly protects against AF.
Subject(s)
Atrial Fibrillation/prevention & control , Life Style , Risk Reduction Behavior , Tea , Adolescent , Adult , Aged , Aged, 80 and over , Asian People , Atrial Fibrillation/diagnosis , Atrial Fibrillation/epidemiology , Case-Control Studies , Chi-Square Distribution , China/epidemiology , Cross-Sectional Studies , Drinking , Female , Habits , Humans , Incidence , Logistic Models , Male , Middle Aged , Multivariate Analysis , Odds Ratio , Protective Factors , Risk Assessment , Risk Factors , Surveys and Questionnaires , Time Factors , Young AdultABSTRACT
OBJECTIVES: To investigate and quantify the potential dose-response association between alcohol consumption and risk of coronary artery disease (CAD). METHODS: We searched the PubMed database from inception to March 2015 and reviewed the reference list of relevant articles to identify prospective studies assessing the association between alcohol consumption and risk of CAD. Study-specific relative risk (RR) estimates were combined using a random-effects model. Publication bias was estimated using Begg's funnel plot and Egger's regression asymmetry test. The meta-analysis included 18 prospective studies, with a total of 214 340 participants and 7756 CAD cases. The pooled adjusted RRs were 0.62 (95% confidence interval [CI] 0.56-0.68) for highest alcohol consumption amount versus lowest amount. Begg's and Egger's regression tests provided no evidence of substantial publication bias (P = 0.762 for Begg's test and 0.172 for Egger's test). RESULTS: In a dose response analysis, we observed a nonlinear association between alcohol consumption and risk of CAD (P for nonlinearity <0.00). Compared with non-drinkers, the RRs (95% CI) of CAD across levels of alcohol consumption were 0.75 (0.70-0.80) for 12 g/d, 0.70 (0.66-0.75) for 24 g/d, 0.69 (0.64-0.75) for 36 g/d, 0.70 (0.64-0.77) for 60 g/d, 0.74 (0.67-0.83) for 90 g/d, and 0.83 (0.67-1.04) for 135 g/d. CONCLUSIONS: Alcohol consumption in moderation is associated with a reduced risk of CAD with 36 grams/d of alcohol conferring a lower risk than other levels.
