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| 1 | Genetics of coronary artery disease and myocardial infarction显示文摘Atherosclerotic coronary artery disease(CAD) comprises a broad spectrum of clinical entities that include asymptomatic subclinical atherosclerosis and its clinical complications, such as angina pectoris, myocardial infarction(MI) and sudden cardiac death. CAD continues to be the leading cause of death in industrialized society. The long-recognized familial clustering of CAD suggests that genetics plays a central role in its development, with the heritability of CAD and MI estimated at approximately 50% to 60%. Understanding the genetic architecture of CAD and MI has proven to be difficult and costly due to the heterogeneity of clinical CAD and the underlying multi-decade complex pathophysiological processes that involve both genetic and environmental interactions. This review describes the clinical heterogeneity of CAD and MI to clarify the disease spectrum in genetic studies, provides a brief overview of the historical understanding and estimation of the heritability of CAD and MI, recounts major gene discoveries of potential causal mutations in familial CAD and MI, summarizes CAD and MIassociated genetic variants identified using candidate gene approaches and genome-wide association studies(GWAS), and summarizes the current status of the construction and validations of genetic risk scores for lifetime risk prediction and guidance for preventive strategies. Potential protective genetic factors against the development of CAD and MI are also discussed. Finally, GWAS have identified multiple genetic factors associated with an increased risk of in-stent restenosis following stent placement for obstructive CAD. This review will also address genetic factors associated with in-stent restenosis, which may ultimately guide clinical decision-making regarding revascularization strategies for patients with CAD and MI. | Xuming Dai Szymon Wiernek James P Evans Marschall S Runge | 2016 | World Journal of Cardiology2016，8，1： | 15 |
| 2 | 基于2D-DIGE/MALDI-TOF-MS技术筛选奶牛低血钙症生物标志物显示文摘奶牛乳热(MF)是一种严重的营养代谢性疾病,通常被分为临床型及亚临床型低血钙症(SH)。奶牛乳热的诊断通常是应用奶牛血浆中的钙浓度进行判定的,但是在奶牛乳热整个发生发展的过程中,发病的具体机制仍是研究的盲点。在本试验中通过筛选奶牛乳热、亚临床低血钙症及健康奶牛间生物标志物进而解释可能的发生机制。选取27头奶牛作为实验动物,并根据其血浆钙浓度及有无临床症状分为乳热组(MF组)、亚临床低血钙组(SH组)和正常组(C组)。在组内每3个样品混合成为1个混合样本应用于2D-DIGE试验。结果得到110个差异蛋白质点,选取其中80个点进行MALDI-TOF-MS质谱分析,得到66个阳性结果并整合成为16种蛋白质。根据试验结果,选取A2M、HP和PON1进行Western blotting验证试验。本试验首次证实A2M、HP和PON1是奶牛乳热症3种新的生物标志物,并分析了其在乳热症发生过程中的可能作用机制。 | 舒适 夏成 张洪友 许楚楚 李昌盛 肖鑫焕 王刚 白云龙 | 2015 | 畜牧兽医学报2015，46，7： | 3 |
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