晚期糖基化终产物可溶性受体及其在高血糖患者心血管风险评估中的作用——印度北部的一项研究。

IF 1.1 Q4 PRIMARY HEALTH CARE
Aparna Gupta, Parul Goyal, Smita Roy, Pratip Jana, Ajay Chauhan, Sarita Jilowa, Yashasvi Panghal
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引用次数: 0

摘要

晚期糖基化终产物(age)及其细胞受体(RAGEs)在2型糖尿病的发病机制及其向心血管疾病(CVD)的发展中起着重要作用。AGE-RAGE轴的一个标记物,可溶性RAGE (sRAGE),在本研究中检测了各种血糖状态以及低和高cvd风险患者。方法:在这项横断面研究中,根据美国糖尿病协会2019年HbA1c%水平标准,将25名成年人招募到“血糖正常”、“糖尿病前期”和“糖尿病”组。使用在线美国心脏协会动脉粥样硬化性心血管疾病(AHA ASCVD)风险计算器和指南,将患者分为“低”和“高”风险类别。采用夹心ELISA技术检测血清sRAGE。用分光光度法估计计算胰岛素抵抗(HOMA-IR)和血浆动脉粥样硬化指数(AIP)所需的血清标志物。应用颈动脉b超分析颈动脉内膜-中膜厚度(CIMT)。结果:Mann-Whitney U分析显示,两种ASCVD风险类别的sRAGE、AIP、HOMA-IR、CIMT和%10年CVD风险值存在显著差异。Spearman检验显示sRAGE与其他标志物有显著相关性。ROC曲线分析表明,sRAGE在区分ASCVD风险类别方面比其他已知参数具有更高的曲线下面积。最后,优势比分析显示,与AIP或CIMT相比,sRAGE发现心血管疾病高风险的几率更高。结论:我们的研究已经证明了sRAGE在CVD发展中的可能作用,并表明它们可能作为未来CVD风险的筛查标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soluble receptor for advanced glycation end products and its role in cardiovascular risk assessment in hyperglycemia - A study in North India.

Introduction: Advanced glycation end products (AGEs) and their cellular receptors (RAGEs) play an important role in the pathogenesis of type 2 diabetes mellitus and its progression to cardiovascular disease (CVD). A marker of the AGE-RAGE axis, soluble RAGE (sRAGE), was examined in this study in various glycemic states as well as in low- and high-CVD-risk patients.

Methods: In this cross-sectional study, 25 adults were recruited into each of the "Normoglycemic", "Prediabetic", and "Diabetic" groups based on American Diabetes Association 2019 HbA1c% level criteria. Using online American Heart Association Atherosclerotic CVD (AHA ASCVD) risk calculator and guidelines, patients were classified into "Low" and "High" risk categories. Serum sRAGE was assayed using sandwich ELISA technology. Serum markers necessary for calculation of homeostatic model assessment for insulin resistance (HOMA-IR) and atherogenic index of plasma (AIP) were spectrophotometrically estimated. Carotid intima-media thickness (CIMT) was analyzed using B-mode carotid ultrasonography.

Results: Mann-Whitney U analysis showed that sRAGE, AIP, HOMA-IR, CIMT, and %10-year CVD risk values were significantly different in the two ASCVD risk categories. Spearman test showed a significant correlation between sRAGE and other markers. ROC curve analysis demonstrated a higher area under the curve for sRAGE than other known parameters to differentiate between ASCVD risk categories. Finally, odds ratio analysis showed that sRAGE had higher odds of detecting high CVD risk than AIP or CIMT.

Conclusions: Our study has demonstrated the possible role of sRAGE in CVD development and suggests that they may serve as screening markers for future CVD risk.

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