炎症、C反应蛋白与动脉粥样硬化血栓形成

Inflammation, C-reactive protein, and atherothrombosis.

作者信息

Ridker Paul M, Silvertown Josh D

机构信息

Department of Medicine, Harvard Medical School, 900 Commonwealth Avenue East, Boston, MA 02215, USA.

出版信息

J Periodontol. 2008 Aug;79(8 Suppl):1544-51. doi: 10.1902/jop.2008.080249.

Abstract

Atherothrombosis of the coronary and cerebral vessels is understood to be a disorder of inflammation and innate immunity, as well as a disorder of lipid accumulation. From a vascular biology perspective, the processes of cellular adhesion, monocyte and macrophage attachment, and transmigration of immune cells across the endothelium are crucial steps in early atherogenesis and in the later stages of mature plaque rupture, particularly the transition of unstable plaque at the time of acute thrombosis. There is abundant clinical evidence demonstrating that many biomarkers of inflammation are elevated years in advance of first ever myocardial infarction (MI) or thrombotic stroke and that these same biomarkers are highly predictive of recurrent MI, recurrent stroke, diabetes, and cardiovascular death. In daily practice, the inflammatory biomarker in widest use is high-sensitivity C-reactive protein (hsCRP); when interpreted within the context of usual risk factors, levels of hsCRP <1, 1 to 3, and >3 mg/l denote lower, average, and higher relative risk for future vascular events. Risk-prediction models that incorporate hsCRP, such as the Reynolds Risk Score, have been developed that improve risk classification and the accuracy for global risk prediction, particularly for those deemed at "intermediate risk" by usual algorithms, such as the Framingham Risk Score. With regard to cerebral vessels, increased biomarkers of inflammation, including hsCRP, have been associated with increased stroke risk as well as an increased rate of atherosclerosis progression in the carotid vessels. Although the proportion of variation in hsCRP explained by genetic factors may be as large as 20% to 40%, diet, exercise, and smoking cessation remain critical tools for risk reduction and CRP reduction. Statin therapy reduces hsCRP in a largely low-density lipoprotein (LDL)-independent manner, and the "anti-inflammatory" properties of these agents have been suggested as a potential mechanism beyond LDL reduction for the efficacy of these agents. The ongoing multinational Justification for the Use of statins in Primary prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) trial of 17,802 initially healthy men and women with low levels of LDL cholesterol but increased levels of hsCRP will help to define whether vascular protection can be achieved with statin therapy, even in the absence of hyperlipidemia. Targeted anti-inflammatory therapies are being developed that may provide a direct method of translating the biology of inflammation into new clinical treatments across multiple vascular beds. This article summarizes data supporting a role for inflammation in cardiovascular disease and offers the possibility that other disorders characterized by inflammation, such as periodontal disease, may have an indirect role by influencing the risk, manifestation, and progression of vascular events.

摘要

冠状动脉和脑血管的动脉粥样硬化血栓形成被认为是一种炎症和先天性免疫紊乱,以及脂质蓄积紊乱。从血管生物学角度来看,细胞黏附、单核细胞和巨噬细胞附着以及免疫细胞穿过内皮迁移的过程是早期动脉粥样硬化形成以及成熟斑块破裂后期阶段的关键步骤,尤其是在急性血栓形成时不稳定斑块的转变。有大量临床证据表明,许多炎症生物标志物在首次心肌梗死(MI)或血栓性中风前数年就已升高,并且这些相同的生物标志物对复发性MI、复发性中风、糖尿病和心血管死亡具有高度预测性。在日常实践中,使用最广泛的炎症生物标志物是高敏C反应蛋白(hsCRP);在常见危险因素背景下进行解读时,hsCRP水平<1、1至3和>3mg/L分别表示未来血管事件的相对风险较低、中等和较高。已经开发了纳入hsCRP的风险预测模型,如雷诺兹风险评分,该模型改善了风险分类和全球风险预测的准确性,特别是对于那些被常规算法(如弗雷明汉风险评分)判定为“中等风险”的人群。关于脑血管,包括hsCRP在内的炎症生物标志物升高与中风风险增加以及颈动脉粥样硬化进展速度加快有关。尽管遗传因素解释的hsCRP变异比例可能高达20%至40%,但饮食、运动和戒烟仍然是降低风险和降低CRP的关键手段。他汀类药物治疗在很大程度上以低密度脂蛋白(LDL)非依赖性方式降低hsCRP,并且这些药物的“抗炎”特性被认为是这些药物除降低LDL之外发挥疗效的潜在机制。正在进行的一项针对17802名最初健康的男性和女性的多国瑞舒伐他汀在一级预防中的应用合理性:一项评估瑞舒伐他汀的干预试验(JUPITER)试验,这些人的LDL胆固醇水平较低但hsCRP水平升高,这将有助于确定即使在没有高脂血症的情况下,他汀类药物治疗是否能够实现血管保护。正在开发有针对性的抗炎疗法,这可能提供一种直接方法,将炎症生物学转化为跨多个血管床的新临床治疗方法。本文总结了支持炎症在心血管疾病中作用的数据,并提出其他以炎症为特征的疾病,如牙周病,可能通过影响血管事件的风险、表现和进展而发挥间接作用。

相似文献

引用本文的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索