PDF(Pubmed)
Abstract：
Diabetes mellitus (DM), due to its long-term hyperglycemia, leads to the accumulation of advanced glycation end-products (AGEs), especially in the vessel walls. Skin autofluorescence (SAF) is a non-invasive tool that measures AGEs. DM patients have a rich dietary source in AGEs, associated with high oxidative stress and long-term inflammation. AGEs represent a cardiovascular (CV) risk factor, and they are linked with CV events. Our objective was to assess whether SAF predicts future CV events (CVE) by examining its association with other CV risk factors in patients with type 2 DM (T2DM). Additionally, we assessed the strengths and limitations of SAF as a predictive tool for CVE. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology, we conducted a systematic review with CRD42024507397 protocol, focused on AGEs, T2DM, SAF, and CV risk. We identified seven studies from 2014 to 2024 that predominantly used the AGE Reader Diagnostic Optic tool. The collective number of patients involved is 8934, with an average age of 63. So, SAF is a valuable, non-invasive marker for evaluating CV risk in T2DM patients. It stands out as a CV risk factor associated independently with CVE. SAF levels are influenced by prolonged hyperglycemia, lifestyle, aging, and other chronic diseases such as depression, and it can be used as a predictive tool for CVE.
摘要：
糖尿病(DM),由于其长期高血糖，导致晚期糖基化终产物（AGEs）的积累，尤其是在血管壁上。皮肤自发荧光（SAF）是一种测量AGEs的非侵入性工具。DM患者有丰富的饮食来源AGEs，与高氧化应激和长期炎症相关。AGEs代表心血管(CV)危险因素，它们与CV事件相关联。我们的目的是通过检查2型DM（T2DM）患者中SAF与其他CV危险因素的相关性来评估SAF是否可以预测未来的CV事件（CVE）。此外,我们评估了SAF作为CVE预测工具的优势和局限性.遵循系统审查和元分析方法的首选报告项目，我们对CRD42024507397方案进行了系统评价，专注于AGEs，T2DM,SAF,CV风险。我们确定了2014年至2024年的7项研究，这些研究主要使用AGEReader诊断光学工具。涉及的患者总数为8934，平均年龄为63岁。所以,SAF是一个有价值的，评估T2DM患者CV风险的非侵入性标志物。它是与CVE独立相关的CV风险因素。SAF水平受长期高血糖的影响，生活方式,老化，和其他慢性疾病，如抑郁症，它可以用作CVE的预测工具。
