DNA methylation serves as a reversible and prognostic biomarker for oral squamous cell carcinoma (OSCC) patients. It is unclear whether the effect of DNA methylation on OSCC overall survival varies with age. As a result, we performed a two-phase gene–age interaction study of OSCC prognosis on an epigenome-wide scale using the Cox proportional hazards model. We identified one CpG probe, cg11676291MORN1 , whose effect was significantly modified by age (HRdiscovery = 1.018, p = 4.07 × 10−07, FDR-q = 3.67 × 10−02; HRvalidation = 1.058, p = 8.09 × 10−03; HRcombined = 1.019, p = 7.36 × 10−10). Moreover, there was an antagonistic interaction between hypomethylation of cg11676291MORN1 and age (HRinteraction = 0.284; 95% CI, 0.135–0.597; p = 9.04 × 10−04). The prognosis of OSCC patients was well discriminated by the prognostic score incorporating cg11676291MORN1 –age interaction (HRhigh vs. low = 3.66, 95% CI: 2.40–5.60, p = 1.93 × 10−09). By adding 24 significant gene–age interactions using a looser criterion, we significantly improved the area under the receiver operating characteristic curve (AUC) of the model at 3- and 5-year prognostic prediction (AUC3-year = 0.80, AUC5-year = 0.79, C-index = 0.75). Our study identified a significant interaction between cg11676291MORN1 and age on OSCC survival, providing a potential therapeutic target for OSCC patients.

Objective The aim of this study was to establish a risk scoring system for the decreased glomerular filtration rate (GFR) in Chinese general population. Methods Totally 781 participants who underwent a health checkup in The First Affiliated Hospital of Nanjing Medical University from January to September 2017 were involved in the study. Significant variables chosen by multivariable logistic regression analysis were allocated the integral scores in proportion to its odds ratio (OR), and then the risk of decreased GFR was assessed based on the scores. Results The people with abnormal homocysteine (Hcy) level (OR: 1.534, 95% confidential interval [CI]: 1.075-2.190, P = .018), males (OR: 2.054, 95%CI: 1.365-3.092, P < .001), and those at the age of 46-52 years (OR: 2.943, 95%CI: 1.546-5.605, P = .001), 52-59 years (OR: 3.664, 95%CI: 1.937-6.931, P < .001) and >= 59 years (OR: 13.452, 95%CI: 7.339-24.657, P < .001) were subjected to GFR reduction. These three variables were allocated the integral scores in proportion to its OR, and four risk categories were divided according to the scores. The prevalence of the decreased GFR in people with low (score 0-4, n = 8), below the average (score 4-6, n = 37), above the average (score 6-13, n = 47), and high risks (score >= 13, n = 103) was 5.26%, 16.89%, 22.93% and 50.24%, respectively, and this prevalence raised with the increase of scores (P < .001). Conclusions A risk scoring system is developed in this study, which may offer a specific risk stratification for GFR reduction in Chinese general population.

AIMS:We evaluated the synergistic effect of lipoprotein-associated phospholipase A2 (Lp-PLA2) in association with classical risk factors in predicting coronary heart disease (CHD) and demonstrated the diagnostic value of Lp-PLA2 for predicting coronary stenotic lesions in subjects with CHD.METHODS:Blood samples were acquired from 911 consecutive adult subjects (662 males and 249 females) from 11 ethnic groups. Lp-PLA2 plasma levels were detected using a commercially available turbidimetric immunoassay (TIA). CHD in patients was confirmed using coronary angiography, and the severity of coronary atherosclerosis was assessed using the Gensini scoring system.RESULTS:A binary logistic regression was performed to analyse the relationships between Lp-PLA2 and other risk factors. A multivariate logistic regression analysis revealed that Lp-PLA2 levels were significantly associated with CHD (OR, 1.882; 95% CI, 1.369-2.587, p=0.000).The area under the receiver operating characteristic curve for Lp-PLA2 was 0.589 (95%CI, 0.549-0.629, p=0.000).The synergism between Lp-PLA2 and other risk factors was also investigated. The proportion of CHD attributable to the interaction between Lp-PLA2 and age was as high as 64%.CONCLUSIONS:Lp-PLA2 levels in human plasma were positively associated with the severity of CHD, and there was a clear positive interaction between Lp-PLA2 and classical risk factors in predicting CHD.

The aim of this study was to identify the synergistic effect of microRNA expression with classical risk factors of coronary heart disease (CHD) and to explore their diagnostic value for coronary stenotic lesions in subjects with CHD. Plasma samples were obtained from 66 subjects with CHD and from 58 control individuals. A quantitative reverse-transcription PCR (RT-qPCR) assay was conducted to confirm the relative expressions of the known CHD-related miRNAs. The severity of coronary atherosclerosis was based on the Gensini scoring system. The expression of miR-125b in plasma of the CHD group was lower than that of the non-CHD group (0.14 ± 0.09 vs. 0.18 ± 0.10, p = 0.055) and the miR-125b levels significantly decreased following an increasing Gensini score (P = 0.037). Spearman correlation analyses indicated the Gensini score was negatively associated with miR-125b (r = −0.215, p = 0.017). Of all the miRNAs, miR-125b showed the lowest AUC (0.405; 95% CI: 0.305 ~ 0.506, p = 0.070). We found several synergistic effects between miR-125b and classical risk factors, such as age, sex, CR, FBG and HDL-C; the proportion of CHD attributable to the interaction of miR-125b and age was as high as 80%. Therefore, miR-125b was shown to play an important role in individual’s susceptibility to developing CHD.

Objective: To develop a risk score by incorporating Hemoglobin A1c(HbA1c) with traditional risk factors for the prediction of coronary artery disease (CAD) in Chinese subjects. Methods: A total of 196 consecutive subjects (131 males and 65 females) aged 38-89 years who underwent coronary angiography were enrolled in this study. HbA1c risk score sheets for the prediction of CAD were developed using age, gender and HbA1c. A receiver-operating characteristic curve analysis was used to determine the optimum cut-off levels of the HbA1c risk score for predicting CAD. Results: In the ROC curve analysis, the optimal cut-off value of the HbA1c score for predicting CAD was 5.1, with a sensitivity of 72.0% and a specificity of 75.5% (area under the curve 0.781, 95% confidence interval 0.709 to 0.854, p=0.000). Conclusions: The HbA1c score system is a simple and feasible method that can be used for the prediction of CAD. Large-scale studies are needed to further substantiate these results.

OBJECTIVE:to explore the impact of admission serum creatinine concentration on the in-hospital mortality and its interaction with age and gender in patients with acute ST-segment elevation myocardial infarction (STEMI) in China.METHODS:1424 acute STEMI patients were enrolled in the study. Anthropometric and laboratory measurements were collected from every patient. A Cox proportional hazards regression model was used to determine the relationships between the admission serum creatinine level (Cr level), age, sex and the in-hospital mortality. A crossover analysis and a stratified analysis were used to determine the combined impact of Cr levels with age and gender.RESULTS:Female (HR 1.687, 95%CI 1.051 ∼ 2.708), elevated Cr level (HR 5.922, 95%CI 3.780 ∼ 9,279) and old age (1.692, 95%CI 1.402 ∼ 2.403) were associated with a high risk of death respectively. After adjusting for other confounders, the renal dysfunction was still independently associated with a higher risk of death (HR 2.48, 95% CI 1.32 ∼ 4.63), while female gender (HR 1.19, 95%CI 0.62 ∼ 2.29) and old age (HR 1.77, 95%CI 0.92 ∼ 3.37) was not. In addition, crossover analysis revealed synergistic effects between elevated Cr level and female gender (SI = 3.01, SIM = 2.10, AP = 0.55). Stratified analysis showed that the impact of renal dysfunction on in-hospital mortality was more pronounced in patients <60 years old (odds ratios 11.10, 95% CI 3.72 to 33.14) compared with patients 60 to 74 years old (odds ratios 5.18, 95% CI 2.48 ∼ 10.83) and patients ≥ 75 years old (odds ratios 3.99, 95% CI 1.89 to 8.42).CONCLUSION:Serum Cr concentration on admission was a strong predictor for in-hospital mortality among Chinese acute STEMI patients especially in the young and the female.

Objective: The purpose of this study was to investigate the influence of weather on the occurrence of acute ST-elevation myocardial infarction in Chinese subjects. Methods: Weather and climate data, as well as the occurrence of STEMI, were monitored at 2 am, 8 am, 2 pm, and 8 pm between 2003 and 2010. Generalized additive Poisson models were utilized to plot the numbers of patients with STEMI within 6 hour intervals against climatological variations, after accounting for the effects of the hour and season. Results: The inclusion of meteorological conditions, including observed atmospheric pressure (hPa, hectopascal) variations during the previous three hours and temperature (°C, degrees Celsius), significantly affected the occurrence of STEMI, as measured every six hours. Compared with the 50th percentile of atmospheric pressure variations, the RRs (95% CI) for the first percentile, 10th percentile, 25th percentile, 75th percentile, 90th percentile, and 99th percentile of atmospheric pressure variation over lag 0 were 1.66 (1.36∼2.03), 1.47 (1.30∼1.67), 1.22 (1.12∼1.33), 1.16 (1.07∼1.25), 1.27 (1.13∼1.43), and 1.16 (0.92∼1.46), respectively. Compared to the 50th percentile of temperature, the RRs (95% CI) for the first percentile, 10th percentile, 25th percentile, 75th percentile, 90th percentile, and 99th percentile of temperature over lag 0 were 0.58 (0.40∼0.83), 0.60 (0.46∼0.78), 0.69 (0.57∼0.83), 1.33 (1.14∼1.56), 1.39 (1.13∼1.71), and 1.17 (0.84∼1.63), respectively. Conclusions: Based on the eight-year, single-center study, significant relationships were observed among the occurrence of STEMI and atmospheric pressure variations during the previous three hours and temperature after account for long-term time trends.

AIMS:To explore the association between six single-nucleotide polymorphisms in OLR1, PON1, MTHFR gene and the angiographical characteristics of coronary atherosclerosis to determine if any of the conventional factors correlate with genetic polymorphisms in the advent of the disease.METHODS:We examined rs1801131, rs1801133, rs3736232, rs3736234, rs854563 and rs662 by TaqMan® SNP Genotyping Assays in 1075 subjects that underwent angiography. The angiographical characteristics of coronary atherosclerosis were defined by the Gensini Score system.RESULTS:The T allele of rs1801133 was associated with coronary atherosclerosis severity with the OR = 1.49, 95% CI = 1.04-2.14. In MTHFR gene, haplotype T-A was a susceptibility haplotype to coronary atherosclerosis (OR = 1.27, 95% CI = 1.06-1.51) whereas haplotype C-A had a protective effect (OR = 0.83, 95% CI = 0.70-0.99). In addition, several synergistic effects between rs1801133 and conventional risk factors such as diabetes and smoking were found.CONCLUSIONS:Collectively, the results demonstrate that the T allele of rs1801133 conferred an increased risk for coronary atherosclerosis. The MTHFR C-A haplotype was a protective haplotype, while T-A haplotype was a susceptibility haplotype. The presence of the T allele of rs1801133 increases the odds of coronary atherosclerosis severity when associated with conventional risk factors.

OBJECTIVE:To explore the association between rs6903956 and severity of coronary artery disease (CAD) in a Chinese population.METHODS:A cohort of 1075 consecutive patients who underwent coronary arteriography for suspected or known coronary atherosclerosis was enrolled in our study. Coronary atherosclerosis severity was defined by Gensini's Score System and counts of diseased vessels.RESULTS:Gensini score frequencies and counts of diseased vessels differed among GG, AG, AA genotype groups at the rs6903956 locus (p = 0.025 for Gensini score frequencies vs. p = 0.024 for counts of diseased vessels, respectively). A univariate logistic regression analysis revealed that the genotype distribution of this SNP was associated significantly with angiographical characteristics of coronary atherosclerosis risk (p = 0.030, odds ratio (OR) = 1.444, 95% confidence interval (CI) = 1.036∼2.013 for AG vs. GG; p = 0.021, OR = 5.896, 95% CI = 1.299∼26.750 for AA vs. GG and p = 0.007, OR = 1.564, 95% CI = 1.132∼2.162 for combined (AG+AA) vs. GG). A multivariate logistic regression analysis indicated that the genotype distribution of the rs6903956 polymorphism be associated significantly with the angiographical characteristics of coronary atherosclerosis risk (p = 0.004, OR = 1.578, 95% CI = 1.155∼2.154 for GG vs. AG vs. AA; p = 0.013, OR = 1.541, 95% CI = 1.097∼2.163 for GG vs. GA+ AA). A stratification analysis revealed that male subjects and smoking subjects had a higher frequency of the rs6903956 heterozygous mutant among higher Gensini score subjects than among lower Gensini score subjects (p = 0.023, OR = 1.579, 95% CI = 1.064∼2.344 for male subgroup; p = 0.005, OR = 2.075, 95% CI = 1.249∼3.448 for smoking subgroup).CONCLUSIONS:Allele A is a risk factor for CAD and the G-to-A allele substitution may underlie the association between rs6903956 and CAD.

Objective: The objective of this study was to explore the association between coronary artery disease and genetic polymorphisms of the renin–angiotensin–aldosterone system (RAAS) pathway. In addition, we examined the interactions between demographic and lifestyle risk factors (environmental factors including age, sex, smoking status, alcohol intake) and RAAS polymorphisms on disease risk. Methods: A total of 1089 subjects who underwent coronary angiography were enrolled in this study. Eight RAAS polymorphisms were genotyped in this population: the G2350A (rs4343) polymorphism in exon 17 of the angiotensin converting enzyme (ACE) gene, 1166A→C (rs5186) and 573C/T (rs5182) in the angiotensin II type 1 receptor (AGTR1) gene, the -344C→T transversion (rs1799998) in the aldosterone synthase (CYP11B2) gene, and the G-217A (rs5049), G-6A (rs5051), M235T (rs699; T4072C), and T174M (rs4762; C3889T) polymorphisms in the angiotensinogen (AGT) gene. Subjects with coronary heart disease were defined as those with at least 50% stenosis in at least one major coronary artery, and, the severity of coronary atherosclerosis was defined by the Gensini scoring system. Results: Compared to the subjects with AA genotype, the subjects with AG + GG genotype of rs1799998 had significant lower gensini score (p=0.029). After adjusting for age, gender, cigarette smoking, and alcohol intake status, the AG genotype (OR 0.717 95%CI 0.541–0.950, p=0.021) and the AG + GG genotype (OR 0.730 95%CI 0.559–0.954, p=0.021) distributions of rs1799998 were significantly different between the cases and controls compare to the AA genotype. Subjects with three at-risk loci had increased risk of coronary artery disease compared to subjects carrying 0 or 1 risk-associated polymorphism (OR [95% CI]:1.579 [1.077–2.316], p=0. 019), and the significance of the association was not reduced after adjusting for age, sex, cigarette smoking, or alcohol intake (adjusted OR [95% CI]: 1.673 [1.116–2.507], p=0.013). The results of multifactor-dimensionality reduction analysis revealed an interaction effect of CYP11B2 -344C→T, age, and smoking status on the risk of coronary heart disease (training OR [95% CI]: 3.7685 [2.8463–4.9895], p<0.0001; testing OR [95% CI]: 2.7583 [1.2038–6.3203], p=0.015). Conclusions: Subjects who carried the G allele of the rs1799998 polymorphism significantly associated with coronary heart disease and severity of coronary atherosclerosis estimated by the Gensini score in the whole population of the study. And, multiple RAAS gene polymorphisms are associated with coronary artery disease. The interaction of the CYP11B2 -344C→T polymorphism (rs1799998), age, and smoking status is also associated with enhanced risk of coronary artery disease.