Kertai Miklos D, Qi Wenjing, Li Yi-Ju, Lombard Frederick W, Liu Yutao, Smith Michael P, Stafford-Smith Mark, Newman Mark F, Milano Carmelo A, Mathew Joseph P, Podgoreanu Mihai V
Department of Anesthesiology, Duke Perioperative Genomics Program, Duke University Medical Center, Durham, NC 27710, USA.
Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC 27710, USA.
J Mol Cell Cardiol. 2016 Mar;92:109-15. doi: 10.1016/j.yjmcc.2016.02.006. Epub 2016 Feb 6.
Atrial tissue gene expression profiling may help to determine how differentially expressed genes in the human atrium before cardiopulmonary bypass (CPB) are related to subsequent biologic pathway activation patterns, and whether specific expression profiles are associated with an increased risk for postoperative atrial fibrillation (AF) or altered response to β-blocker (BB) therapy after coronary artery bypass grafting (CABG) surgery. Right atrial appendage (RAA) samples were collected from 45 patients who were receiving perioperative BB treatment, and underwent CABG surgery. The isolated RNA samples were used for microarray gene expression analysis, to identify probes that were expressed differently in patients with and without postoperative AF. Gene expression analysis was performed to identify probes that were expressed differently in patients with and without postoperative AF. Gene set enrichment analysis (GSEA) was performed to determine how sets of genes might be systematically altered in patients with postoperative AF. Of the 45 patients studied, genomic DNA from 42 patients was used for target sequencing of 66 candidate genes potentially associated with AF, and 2,144 single-nucleotide polymorphisms (SNPs) were identified. We then performed expression quantitative trait loci (eQTL) analysis to determine the correlation between SNPs identified in the genotyped patients, and RAA expression. Probes that met a false discovery rate<0.25 were selected for eQTL analysis. Of the 17,678 gene expression probes analyzed, 2 probes met our prespecified significance threshold of false discovery rate<0.25. The most significant probe corresponded to vesicular overexpressed in cancer - prosurvival protein 1 gene (VOPP1; 1.83 fold change; P=3.47×10(-7)), and was up-regulated in patients with postoperative AF, whereas the second most significant probe, which corresponded to the LOC389286 gene (0.49 fold change; P=1.54×10(-5)), was down-regulated in patients with postoperative AF. GSEA highlighted the role of VOPP1 in pathways with biologic relevance to myocardial homeostasis, and oxidative stress and redox modulation. Candidate gene eQTL showed a trans-acting association between variants of G protein-coupled receptor kinase 5 gene, previously linked to altered BB response, and high expression of VOPP1. In patients undergoing CABG surgery, RAA gene expression profiling, and pathway and eQTL analysis suggested that VOPP1 plays a novel etiological role in postoperative AF despite perioperative BB therapy.
心房组织基因表达谱分析可能有助于确定体外循环(CPB)前人类心房中差异表达基因与随后生物途径激活模式之间的关系,以及特定表达谱是否与冠状动脉旁路移植术(CABG)术后发生心房颤动(AF)的风险增加或对β受体阻滞剂(BB)治疗的反应改变有关。从45例接受围手术期BB治疗并接受CABG手术的患者中采集右心耳(RAA)样本。分离的RNA样本用于微阵列基因表达分析,以鉴定在有和没有术后AF的患者中表达不同的探针。进行基因表达分析以鉴定在有和没有术后AF的患者中表达不同的探针。进行基因集富集分析(GSEA)以确定术后AF患者中基因集可能如何被系统性改变。在研究的45例患者中,42例患者的基因组DNA用于对66个可能与AF相关的候选基因进行靶向测序,共鉴定出2144个单核苷酸多态性(SNP)。然后我们进行表达定量性状位点(eQTL)分析,以确定基因分型患者中鉴定出的SNP与RAA表达之间的相关性。选择错误发现率<0.25的探针进行eQTL分析。在分析的17678个基因表达探针中,有2个探针达到了我们预先设定的错误发现率<0.25的显著性阈值。最显著的探针对应于癌症中过表达的囊泡 - 促生存蛋白1基因(VOPP1;变化倍数为1.83;P = 3.47×10⁻⁷),在术后AF患者中上调,而第二显著的探针对应于LOC389286基因(变化倍数为0.49;P = 1.54×10⁻⁵),在术后AF患者中下调。GSEA突出了VOPP1在与心肌稳态、氧化应激和氧化还原调节具有生物学相关性的途径中的作用。候选基因eQTL显示,先前与BB反应改变相关的G蛋白偶联受体激酶5基因变体与VOPP1的高表达之间存在反式作用关联。在接受CABG手术的患者中,RAA基因表达谱分析以及途径和eQTL分析表明,尽管进行了围手术期BB治疗,但VOPP1在术后AF中发挥了新的病因学作用。