中国全科医学 ›› 2023, Vol. 26 ›› Issue (24): 3016-3021.DOI: 10.12114/j.issn.1007-9572.2023.0051

• 论著 • 上一篇    下一篇

早期生长反应因子3和白介素6水平与冠状动脉粥样硬化性心脏病的相关性研究

祖姆热提·阿布都克依木, 马燕玲, 朱凯瑞, 刘芳, 李霞*()   

  1. 830001 新疆维吾尔自治区乌鲁木齐市,新疆医科大学第五附属医院全科医学科
  • 收稿日期:2023-01-09 修回日期:2023-02-26 出版日期:2023-08-20 发布日期:2023-04-15
  • 通讯作者: 李霞

  • 作者贡献:祖姆热提·阿布都克依木、李霞共同提出总体研究目标的制定;朱凯瑞参与了实验过程并对数据进行分析管理;马燕玲应用统计、数学、计算分析整合了研究数据;刘芳、朱凯瑞参与并进行实验和数据收集;李霞对研究规划和执行进行监督和领导;祖姆热提·阿布都克依木进行了文章撰写。
  • 基金资助:
    国家自然科学基金地区科学基金项目(81960073); 省部共建中亚高发病成因与防治国家重点实验室专项资助项目(SKL-HIDCA-2020-WF6)

Correlation of Early Growth Response 3 and Interleukin 6 Expression Levels with Coronary Heart Disease

ZUMURETI ·Abudukeyimu, MA Yanlin, ZHU Kairui, LIU Fang, LI Xia*()   

  1. Department of General Practice, the Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi 830001, China
  • Received:2023-01-09 Revised:2023-02-26 Published:2023-08-20 Online:2023-04-15
  • Contact: LI Xia

摘要: 背景 冠状动脉粥样硬化性心脏病(CHD)是全球导致死亡的主要原因,冠状动脉造影检查通常作为诊断CHD的有效手段,但在基层受多种条件限制导致冠状动脉造影检查率较低,需要研究更有意义的生物标志物为基层医生诊治CHD提供依据。课题组在前期研究中发现,早期生长反应因子3(Egr3)基因可能是CHD发病异质性的易感因素,目前关于CHD与Egr3基因及炎症指标的相关性鲜有报道。 目的 探讨Egr3、白介素6(IL-6)与CHD的相关性及其水平与冠状动脉粥样硬化严重程度的关系,为临床基层诊治提供依据。 方法 纳入2021年6—12月就诊于新疆医科大学第五附属医院的CHD患者110例,参与者均因CHD症状就诊并完善冠状动脉造影检查,将确诊为CHD的患者依据Gensini评分的中位数(52分)分为轻度狭窄组(A组≤52分,n=50)、中重度狭窄组(B组>52分,n=30),选取冠状动脉造影结果正常的30例为对照组(C组)。采用ELISA检测法检测患者血清Egr3水平及IL-6水平。 结果 B组IL-6水平高于A组与C组(P<0.05),A组、B组Egr3水平高于C组(P<0.05);Egr3水平诊断CHD的受试者工作特征曲线下面积为0.648,灵敏度为35.0%,特异度为93.3%。CHD患者IL-6与Egr3呈正相关(r=0.231,P<0.01);Egr3、IL-6与Gensini评分呈正相关(rs=0.390、0.317,P<0.01)。 结论 Egr3对CHD的诊断具有良好的特异度,Egr3水平与IL-6水平与冠状动脉血管病变程度呈正相关。

关键词: 冠心病, 早期生长因子3, 胞间信号肽类和蛋白质类, 白细胞介素6, Gensini评分, 冠状动脉狭窄, 相关性

Abstract:

Background

Coronary heart disease (CHD) is the leading cause of death world wide. Coronary angiography is often used as an effective approach for the diagnosis of CHD. However, coronary angiography accounts for relatively low percentagein examination approaches due to the limitation of various conditions in primary care, and more meaningful biomarkers need to be explored to provide a basis for primary care physicians to diagnose and treat CHD. In the previous study of our research group, it is found that early growth response 3 (Egr3) gene may be a susceptibility factor in the heterogeneity of CHD pathogenesis, and there are few reports on the correlation between CHD and Egr3 gene and inflammatory biomarkers.

Objective

To investigate the correlation between Egr3, interleukin-6 (IL-6) and CHD, as well as their expression levels and the severity of coronary stenosis, so as to provide a favorable laboratory basis for clinical diagnosis and treatment inprimary care.

Methods

A total of 110 patients who admitted to the Fifth Affiliated Hospital of Xinjiang Medical University for CHD symptoms and completed coronary artery angiography (CAG) during June to December 2021 were collected and divided into the mild stenosis group (group A≤52 points, n=50) , moderate-severe stenosis group (group B>52 points, n=30) and control group (group C, n=30) according to the CAG results and median Gensini score (52 points) . Serum Egr3 and IL-6 levels of the included patients were measured by enzyme-linked immunosorbent assay.

Results

The IL-6 level in group B was higher than that in group A and group C (P<0.05) , and Egr3 expression level in the group A and group B was higher than that in group C, respectively (P<0.05) ; the area under the ROC curve of Egr3 expression level in the diagnosis of coronary heart disease was 0.648, with a sensitivity of 35.0% and specificity of 93.3%. There was positive correlation between IL-6 and Egr3 in CHD patients (r=0.231, P<0.01) ; Egr3 and IL-6 levels were positively correlated with Gensini score (rs=0.39, 0.317, P<0.01) .

Conclusions

Egr3 has good specificity for the diagnosis of CHD, and the expression levels of Egr3 and IL-6 were positively correlated with the severity of coronary stenosis.

Key words: Coronary disease, Early growth response 3, Intercellular signaling peptides and proteins, Interleukin-6, Gensini score, Coronary stenosis, Correlation analysis