揭开 TIMPs 的神秘面纱:关于其在动脉粥样硬化和冠状动脉疾病中作为生物标志物的作用的系统性综述》(A Systematic Review of Their Role as Biomarkers in Atherosclerosis and Coronary Artery Disease.

IF 2.9 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Amilia Aminuddin, Nazirah Samah, Ubashini Vijakumaran, Nur Aishah Che Roos, Faridah Mohd Nor, Wan Mohammad Hafiz Wan Razali, Shawal Faizal Mohamad, Beh Boon Cong, Faizal Amri Hamzah, Adila A Hamid, Azizah Ugusman
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引用次数: 0

摘要

冠状动脉疾病(CAD)是导致全球死亡的主要原因,是一种因动脉粥样硬化斑块形成而导致心肌供血不足的心脏疾病。动脉粥样硬化是一种慢性疾病,由脂肪、胆固醇、钙和其他物质在动脉内壁形成斑块。最近,人们对寻找可靠的生物标志物以了解动脉粥样硬化的发病机制和进展越来越感兴趣。组织金属蛋白酶抑制剂(TIMPs)已成为监测动脉粥样硬化发展的潜在候选指标。TIMPs是一种内源性蛋白,可调节基质金属蛋白酶(MMPs),MMPs是参与重塑细胞外基质的酶。我们使用 Prisma 指南进行了系统搜索,并从四个不同的数据库中筛选出 11 项研究:科学网(WOS)、Scopus、Ovid 和 PubMed。采用纽卡斯尔-渥太华量表(NOS)评分来评估每项研究的偏倚风险。进行了荟萃分析,并确定了危险比(HR)及其 95% 置信区间(CI)。在 11 项研究中,有 6 项研究报告 TIMPs 水平越高,动脉粥样硬化的风险越大,两者之间存在正相关。相反,有四项研究支持低 TIMPs 与高 CAD 风险之间的关系,还有一项研究显示 TIMP-2 G-418C 多态性与 CAD 之间没有显著关联。研究结果的这种差异凸显了 TIMPs、动脉粥样硬化和 CAD 之间关系的复杂性。此外,两项研究的荟萃分析显示,TIMP-2 预测主要不良心血管事件(MACEs)的 HR 值(95% CI)为 1.42(1.16-1.74;p < 0.001;I2 = 0%)。总之,现有证据支持 TIMPs 可作为生物标记物预测 CAD 患者动脉粥样硬化、心肌损伤和未来 MACE 的严重程度。不过,还需要通过更大规模的人体研究以及体外和体内调查进行进一步探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling TIMPs: A Systematic Review of Their Role as Biomarkers in Atherosclerosis and Coronary Artery Disease.

Coronary artery disease (CAD) is the leading cause of death globally and is a heart condition involving insufficient blood supply to the heart muscle due to atherosclerotic plaque formation. Atherosclerosis is a chronic disease in which plaques, made up of fat, cholesterol, calcium, and other substances, build up on the inner walls of arteries. Recently, there has been growing interest in finding reliable biomarkers to understand the pathogenesis and progression of atherosclerosis. Tissue Inhibitors of Metalloproteinases (TIMPs) have emerged as potential candidates for monitoring atherosclerotic development. TIMPs are a family of endogenous proteins that regulate matrix metalloproteinases (MMPs), enzymes involved in remodeling the extracellular matrix. A systematic search using Prisma guidelines was conducted and eleven studies were selected from four different databases: Web of Science (WOS), Scopus, Ovid, and PubMed. The Newcastle-Ottawa Scale (NOS) score was used to assess the risk of bias for each study. A meta-analysis was performed, and the hazard ratio (HR) and its 95% confidence interval (CI) were determined. Among the eleven studies, six reported a positive association between higher levels of TIMPs and an increased risk of atherosclerosis. Conversely, four studies support low TIMPs with high CAD risk and one study showed no significant association between TIMP-2 G-418C polymorphism and CAD. This divergence in findings underscores the complexity of the relationship between TIMPs, atherosclerosis, and CAD. In addition, a meta-analysis from two studies yielded a HR (95% CI) of 1.42 (1.16-1.74; p < 0.001; I2 = 0%) for TIMP-2 in predicting major adverse cardiovascular events (MACEs). In conclusion, the existing evidence supports the notion that TIMPs can serve as biomarkers for predicting the severity of atherosclerosis, myocardial damage, and future MACEs among CAD patients. However, further exploration is warranted through larger-scale human studies, coupled with in vitro and in vivo investigations.

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