Yingxue Dong
Dalian Medical University
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Featured researches published by Yingxue Dong.
Thrombosis Research | 2014
Xiaohong Yu; Jun Liu; Hao Zhu; Yunlong Xia; Lianjun Gao; Yingxue Dong; Nan Jia; Wei Feng Shen; Yanzong Yang; Wenquan Niu
Evidence is mounting suggesting that DNA damage is implicated in the development and progression of atherosclerosis. To yield more information, we focused on six well-characterized polymorphisms from four DNA repair-relevant candidate genes, viz. XRCC1 (rs1799782 and rs25487), XRCC3 (rs861539), MTHFR (rs1801133 and rs4846049), and NQO1 (rs1800566), to identify and characterize their potential gene-to-gene interactions in susceptibility to coronary artery disease (CAD) in Han Chinese. This was a hospital-based case-control study involving 1142 patients diagnosed with CAD and 1106 age- and gender-matched controls. All participants were angiographically confirmed. Risk estimates were expressed as odds ratio (OR) and 95% confidence interval (95% CI). All six examined polymorphisms met Hardy-Weinberg equilibrium. Overall there were significant differences in the genotype/allele distributions of MTHFR gene rs1801133 and rs4846049 (both P ≤ 0.005), and in the genotype distributions of XRCC1 gene rs1799782 (P = 0.002) between patients and controls. The adjusted risk of having CAD was more evident for rs1799782 (OR = 1.53; 95% CI: 1.16-2.02; P = 0.003), rs1801133 (OR = 1.54; 95% CI: 1.22-1.94; P < 0.001), and rs4846049 (OR = 1.74; 95% CI: 1.13-2.69; P = 0.013) under the recessive model. Interaction analyses indicated that the overall best multifactor dimensionality reduction (MDR) model included rs4846049, rs1801133, and rs1799782, and this model had a maximal testing accuracy of 0.6885 and a cross-validation consistency of 10 out of 10 (P = 0.0030). Further interaction entropy graph bore out the validity of this MDR model. Taken together, our findings demonstrate a contributory role of genetic defects in XRCC1 and MTHFR genes, both individually and interactively, in the development of CAD in Han Chinese.
Journal of the American Heart Association | 2014
Xiaomeng Yin; Yan Zhao; Yutao Xi; Nancy Cheng; Yunlong Xia; Zhang S; Yingxue Dong; Dong Chang; Jie Cheng; Yanzong Yang; Lianjun Gao
Background Hypertension is one of the most important risk factors for atrial fibrillation (AF). Recent studies suggest right atrial remodeling in hypertensive patients may be associated with increased inducibility of AF. This study sought to characterize the electroanatomic features of left and right atria and pulmonary veins (PVs) in hypertensive patients. Methods and Results A prospective observational study was conducted on patients who underwent ablation for paroxysmal supraventricular tachycardia or paroxysmal AF. Electrophysiological features of the PVs and atria, including event‐related potentials, conduction time, and inducibility and vulnerability of AF, were characterized during cardiac catheterization. Anatomic and hemodynamic features were assessed by using echocardiographic and computer tomography imaging. When 15 hypertensive patients with paroxysmal supraventricular tachycardia were compared with 17 normotensive patients with paroxysmal supraventricular tachycardia, the hypertensive patients had significantly shortened PV event‐related potentials with increased dispersions (P<0.001) but slightly prolonged atrial event‐related potentials (P=NS) and had prolonged interatrial and intra‐atrial conduction times (P<0.001). Additionally, the hypertensive patients had increased vulnerability and inducibility of AF and prolonged duration of induced AF (P<0.01). All of these changes were more pronounced in hypertensive patients with paroxysmal AF. Anatomically, compared with the normotensive patients, the diameters of 4 PVs in the hypertensive patients with paroxysmal supraventricular tachycardia were significantly enlarged (P<0.01) and became more remarkable in hypertensive patients with paroxysmal AF (P<0.0001), although the diameter and volume index of the left atrium among 3 groups were similar. Conclusions The hypertensive patients showed electroanatomic changes associated with increased vulnerability to AF, including shortened event‐related potentials with increased dispersion, prolonged conduction time, and increased PV diameter, but these changes were not appreciated in the atria. Additionally, these changes became more dramatic in hypertensive patients with paroxysmal AF.
PLOS ONE | 2016
Rongfeng Zhang; Xiaochen Tian; Lianjun Gao; Hui-Hua Li; Xiaomeng Yin; Yingxue Dong; Yanzong Yang; Yunlong Xia
Background PR interval variations have recently been associated with an increased risk of long-term atrial fibrillation (AF), heart block and all-cause mortality. Genome-wide association studies have linked the PR interval with several common variants in the TBX5 gene. Several variants in the TBX5 gene, including rs7312625 and rs883079, have been associated with AF. The purpose of this study was to determine the association of single-nucleotide polymorphisms (SNPs) in the TBX5 gene, rs7312625 and rs883079, with AF in Chinese Han patients. Methodology/Principal Findings In this case-control association study, large cohorts of AF patients (n = 1132) and controls (n = 1206) were recruited from different hospitals. The genotyping was performed using a Rotor-Gene TM 6000 high-resolution melt system. Rs7312625, rs3825214 and rs883079 were analyzed. We found that SNP 3825214 was significantly associated with AF (P-obs = 0.002, odds ratio [OR] = 0.82), and lone AF (P-obs = 6.77x10-5, odds ratio [OR] = 0.71). SNP rs7312625 was significantly associated with lone AF (P-obs = 0.015, odds ratio [OR] = 1.27), although its association with AF was not significant. No significant association of SNP rs883079 with AF or lone AF was observed. Thus, we analyzed the interaction among these three loci. We demonstrated significant interaction among rs3825214, rs7312625 and rs883079. Four-locus risk alleles showed the highest odds ratio in combined rs3825214 and rs7312625 (P-obs<0.0001, odds ratio [OR] = 2.21). Six-locus risk alleles showed the highest odds ratio in combined rs3825214, rs7312625 and rs 883079(P-obs<0.0001, odds ratio [OR] = 2.35). Significance was established with the trend test (P<0.0001). Conclusions For the first time, we report the strong association of SNP rs3825214 in the TBX5 gene with AF and lone AF in a Chinese Han population. Rs7312625 was significantly associated with lone AF, and snp-snp interaction increased the risk of atrial fibrillation. Our data might provide new insights into understanding AF pathogenesis and designing novel genetic therapies for AF patients.
Scientific Reports | 2017
Ronfeng Zhang; Feifei Chen; Honjiu Yu; Lianjun Gao; Xiaomeng Yin; Yingxue Dong; Yanzong Yang; Yunlong Xia
Genome-wide association studies identified that the common T of rs12143842 in NOS1AP is associated with a QT/QTc interval in European populations. In this study, we test the association between the variation rs12143842 in NOS1AP and idiopathic ventricular tachycardia (IVT). A case-control association study examining rs12143842 was performed in two independent cohorts. The Northern cohort enrolled 277 IVT patients and 728 controls from a Chinese Gene ID population. The Central cohort enrolled 301 IVT patients and 803 matched controls. Genotyping was performed using high-resolution melt analysis. The minor T allele of the rs12143842 SNP was significantly associated with decreased IVT risk in the Northern cohort (adjusted P = 0.024, OR 0.71(0.52~0.96)), and this association was replicated in an independent Central Gene ID cohort (adjusted P = 0.029, OR 0.78 (0.62~0.97)). The association was more significant in the combined population (adjusted P = 0.001, OR 0.76 (0.64~0.90)). The P values for the genotypic association were significant for the dominant (P < 0.001) and additive (P = 0.001) models. The minor T allele for the SNP rs12143842 in NOS1AP is significantly associated with IVT. NOS1AP might be a novel gene affecting IVT, and further functional studies should be performed.
International Journal of Clinical and Experimental Pathology | 2014
Guocao Li; Rongfeng Zhang; Lianjun Gao; Zhang S; Yingxue Dong; Xiaomeng Yin; Dong Chang; Yanzong Yang; Yunlong Xia
Chinese Medical Journal | 2006
Ying Liu; Zhang S; Yingxue Dong; Zhao Hw; Lianjun Gao; Xiaomeng Yin; Li Sj; Lin Zh; Yanzong Yang
Chinese Medical Journal | 2005
Yingxue Dong; Lianjun Gao; Zhang S; Liu Jj; Li Sj; Bian Xm; Lin Zh; Yanzong Yang
American Journal of Translational Research | 2016
Feifei Chen; Yanzong Yang; Rongfeng Zhang; Zhang S; Yingxue Dong; Xiaomeng Yin; Dong Chang; Zhiqiang Yang; Kejing Wang; Lianjun Gao; Yunlong Xia
Chinese Medical Journal | 2012
Dejun You; Dong Chang; Zhang S; Donghui Yang; Lianjun Gao; Xiaomeng Yin; Zhenliang Chu; Yunlong Xia; Wang Yc; Yingxue Dong; Yanzong Yang
Journal of the American College of Cardiology | 2017
Yuanjun Sun; Xiaomeng Yin; Xianjie Xiao; Dong Chang; Yingxue Dong; Yunlong Xia; Lianjun Gao; Yanzong Yang