Grazide Marie-Hélène, Ruidavets Jean-Bernard, Martinet Wim, Elbaz Meyer, Vindis Cécile
Center for Clinical Investigation (CIC1436)/CARDIOMET, Rangueil University Hospital, Toulouse, France.
University of Toulouse III, Toulouse, France.
J Mol Cell Cardiol Plus. 2024 Dec 21;11:100279. doi: 10.1016/j.jmccpl.2024.100279. eCollection 2025 Mar.
The identification of new biomarkers that improve existing cardiovascular risk prediction models for acute coronary syndrome is essential for accurately identifying high-risk patients and refining treatment strategies. Autophagy, a vital cellular degradation mechanism, is important for maintaining cardiac health. Dysregulation of autophagy has been described in cardiovascular conditions such as myocardial ischemia-reperfusion injury, a key factor in myocardial infarction (MI). Recently, Rubicon (Run domain Beclin-1-interacting and cysteine-rich domain-containing protein), a key negative regulator of autophagy, has been identified in the modulation of cardiac stress response.
This study aimed to explore the relationship between circulating Rubicon levels and MI, and to evaluate the incremental predictive value of Rubicon when integrated into a clinical risk prediction model for MI.
We analyzed plasma Rubicon concentrations in 177 participants, comprising type I MI patients and high-risk control subjects. Our results revealed significantly elevated plasma Rubicon levels in MI patients compared to the control group (126.5 pg/mL vs. 53 pg/mL, < 0.001). Furthermore, Rubicon levels showed a positive correlation with cardiovascular risk factors such as total cholesterol and LDL cholesterol. Multivariate analysis confirmed that Rubicon levels were independently associated with an increased risk of MI. The inclusion of Rubicon in traditional cardiovascular risk models notably enhanced predictive accuracy for MI, with the area under the curve (AUC) rising from 0.868 to 0.905 ( < 0.001).
These findings suggest that Rubicon is a valuable biomarker associated with MI risk, providing additional predictive value beyond standard cardiovascular risk factors. This highlights the importance of Rubicon's critical role in the pathophysiology of CVD.
识别能够改进现有急性冠状动脉综合征心血管风险预测模型的新生物标志物,对于准确识别高危患者和优化治疗策略至关重要。自噬是一种重要的细胞降解机制,对维持心脏健康具有重要意义。在诸如心肌缺血再灌注损伤(心肌梗死的一个关键因素)等心血管疾病中,已发现自噬失调。最近,已确定Rubicon(含RUN结构域的Beclin-1相互作用蛋白和富含半胱氨酸结构域蛋白)是自噬的关键负调节因子,在心脏应激反应的调节中发挥作用。
本研究旨在探讨循环Rubicon水平与心肌梗死之间的关系,并评估将Rubicon纳入心肌梗死临床风险预测模型时的增量预测价值。
我们分析了177名参与者的血浆Rubicon浓度,这些参与者包括I型心肌梗死患者和高危对照组。我们的结果显示,与对照组相比,心肌梗死患者的血浆Rubicon水平显著升高(126.5 pg/mL对53 pg/mL,<0.001)。此外,Rubicon水平与总胆固醇和低密度脂蛋白胆固醇等心血管危险因素呈正相关。多变量分析证实,Rubicon水平与心肌梗死风险增加独立相关。将Rubicon纳入传统心血管风险模型显著提高了对心肌梗死的预测准确性,曲线下面积(AUC)从0.868增加到0.905(<0.001)。
这些发现表明,Rubicon是一种与心肌梗死风险相关的有价值的生物标志物,除了标准心血管危险因素外,还提供了额外的预测价值。这突出了Rubicon在心血管疾病病理生理学中的关键作用的重要性。