{"title":"循环中的自噬调节因子 Rubicon 与心肌梗死风险增加有关。","authors":"Marie-Hélène Grazide , Jean-Bernard Ruidavets , Wim Martinet , Meyer Elbaz , Cécile Vindis","doi":"10.1016/j.jmccpl.2024.100279","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Objectives</h3><div>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.</div></div><div><h3>Results</h3><div>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, <em>p</em> < 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 (<em>p</em> < 0.001).</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":73835,"journal":{"name":"Journal of molecular and cellular cardiology plus","volume":"11 ","pages":"Article 100279"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11708358/pdf/","citationCount":"0","resultStr":"{\"title\":\"Circulating autophagy regulator Rubicon is linked to increased myocardial infarction risk\",\"authors\":\"Marie-Hélène Grazide , Jean-Bernard Ruidavets , Wim Martinet , Meyer Elbaz , Cécile Vindis\",\"doi\":\"10.1016/j.jmccpl.2024.100279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>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.</div></div><div><h3>Objectives</h3><div>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.</div></div><div><h3>Results</h3><div>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, <em>p</em> < 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 (<em>p</em> < 0.001).</div></div><div><h3>Conclusions</h3><div>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.</div></div>\",\"PeriodicalId\":73835,\"journal\":{\"name\":\"Journal of molecular and cellular cardiology plus\",\"volume\":\"11 \",\"pages\":\"Article 100279\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11708358/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular and cellular cardiology plus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772976124001326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular and cellular cardiology plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772976124001326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:确定新的生物标志物以改进现有的急性冠状动脉综合征心血管风险预测模型,对于准确识别高危患者和改进治疗策略至关重要。自噬是一种重要的细胞降解机制,对维持心脏健康非常重要。自噬失调已在心血管疾病中得到描述,如心肌缺血再灌注损伤,这是心肌梗塞(MI)的一个关键因素。最近,Rubicon(Run domain Beclin-1-interacting and cysteine-rich domain-containing protein)作为自噬的一个关键负调控因子被发现参与了心脏应激反应的调节: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Rubicon纳入心肌梗死临床风险预测模型后的增量预测价值:我们分析了177名参与者的血浆Rubicon浓度,其中包括I型心肌梗死患者和高风险对照受试者。结果显示,与对照组相比,心肌梗死患者的血浆 Rubicon 水平明显升高(126.5 pg/mL vs. 53 pg/mL,p p 结论:这些发现表明,Rubicon 是心肌梗死临床风险预测模型的一个重要组成部分:这些研究结果表明,Rubicon 是一种与心肌梗死风险相关的有价值的生物标志物,在标准心血管风险因素之外还具有额外的预测价值。这凸显了 Rubicon 在心血管疾病病理生理学中的重要作用。
Circulating autophagy regulator Rubicon is linked to increased myocardial infarction risk
Background
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.
Objectives
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.
Results
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, p < 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 (p < 0.001).
Conclusions
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.