SerpinG1: A Novel Biomarker Associated With Poor Coronary Collateral in Patients With Stable Coronary Disease and Chronic Total Occlusion.
SerpinG1: A Novel Biomarker Associated With Poor Coronary Collateral in Patients With Stable Coronary Disease and Chronic Total Occlusion.
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SerpinG1：一种与稳定型冠状动脉疾病和慢性完全闭塞患者的冠状动脉不良相关的新型生物标志物。
DOI：
10.1161/jaha.122.027614
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发表时间：
2022-12-20
影响因子：
5.4
通讯作者：
Dai, Yang
中科院分区：
文献类型：
--
作者：
Chen, Shuai;Li, Le-Ying;Wu, Zhi-Ming;Liu, Yong;Li, Fei-Fei;Huang, Ke;Wang, Yi-Xuan;Chen, Qiu-Jing;Wang, Xiao-Qun;Shen, Wei-Feng;Zhang, Rui-Yan;Shen, Ying;Lu, Lin;Ding, Feng-Hua;Dai, Yang
关键词：
本研究旨在探讨慢性完全闭塞患者冠状动脉侧支形成的预测性生物标志物。利用基因表达谱软件，构建加权基因共表达网络分析模型，分析潜在模块与冠状动脉侧支化的关系，筛选出中枢基因。然后，在一个独立的患者队列（包括299例动脉生成反应良好的患者和223例动脉生成反应不良的患者）中鉴定并验证了枢纽基因。加权基因共表达网络分析表明，在淡青色模块中的SERPING1是唯一与基因模块和临床性状高度相关的基因。动脉反应不良的患者血清serpinG1水平显著高于动脉反应良好的患者（472.53 ± 197.16 vs 314.80 ± 208.92 μ g/mL; P <0.001），并且与Rentrop评分呈负相关（斯皮尔曼r =-0.50; P <0.001）。受试者工作特征曲线分析显示血清serpinG1预测不良动脉反应的曲线下面积为0.77（95% CI为0.72-0.81; P <0.001）。校正传统心血管危险因素后，血清serpinG1水平（每SD）仍然是不良动脉反应的独立危险因素（比值比，2.20 [95%CI，1.76 - 2.74]; P <0.001）。我们的研究结果表明，加权基因共表达网络分析筛选的SERPING1与慢性完全闭塞患者的不良侧支化相关。
This study aimed to explore predictive biomarkers of coronary collateralization in patients with chronic total occlusion. By using a microarray expression profiling program downloaded from the Gene Expression Omnibus database, weighted gene coexpression network analysis was constructed to analyze the relationship between potential modules and coronary collateralization and screen out the hub genes. Then, the hub gene was identified and validated in an independent cohort of patients (including 299 patients with good arteriogenic responders and 223 patients with poor arteriogenic responders). Weighted gene coexpression network analysis showed that SERPING1 in the light‐cyan module was the only gene that was highly correlated with both the gene module and the clinical traits. Serum levels of serpinG1 were significantly higher in patients with bad arteriogenic responders than in patients with good arteriogenic responders (472.53±197.16 versus 314.80±208.92 μg/mL; P<0.001) and were negatively associated with the Rentrop score (Spearman r=−0.50; P<0.001). Receiver operating characteristic curve analysis indicated that the area under the curve was 0.77 (95% CI, 0.72–0.81; P<0.001) for serum serpinG1 in prediction of bad arteriogenic responders. After adjusting for traditional cardiovascular risk factors, serum serpinG1 levels (per SD) remained an independent risk factor for bad arteriogenic responders (odds ratio, 2.20 [95% CI, 1.76–2.74]; P<0.001). Our findings illustrate that SERPING1 screened by weighted gene coexpression network analysis was associated with poor collateralization in patients with chronic total occlusion.