Medical Molecular Imaging Research Group, Vall d'Hebron Research Institute (VHIR), Nuclear Medicine, Radiology and Cardiology Departments, Vall d'Hebron University Hospital, Autonomous University Barcelona, 08035 Barcelona, Spain.
CIBERBBN (Instituto de Salud Carlos III), 28029 Madrid, Spain.
Int J Mol Sci. 2022 Aug 7;23(15):8783. doi: 10.3390/ijms23158783.
We report that myocardial insulin resistance (mIR) occurs in around 60% of patients with type 2 diabetes (T2D) and was associated with higher cardiovascular risk in comparison with patients with insulin-sensitive myocardium (mIS). These two phenotypes (mIR vs. mIS) can only be assessed using time-consuming and expensive methods. The aim of the present study is to search a simple and reliable surrogate to identify both phenotypes.
Forty-seven patients with T2D underwent myocardial [18F]FDG PET/CT at baseline and after a hyperinsulinemic-euglycemic clamp (HEC) to determine mIR were prospectively recruited. Biochemical assessments were performed before and after the HEC. Baseline hepatic steatosis index and index of hepatic fibrosis (FIB-4) were calculated. Furthermore, liver stiffness measurement was performed using transient elastography.
The best model to predict the presence of mIR was the combination of transaminases, protein levels, FIB-4 score and HOMA (AUC = 0.95; sensibility: 0.81; specificity: 0.95). We observed significantly higher levels of fibrosis in patients with mIR than in those with mIS ( = 0.034). In addition, we found that patients with mIR presented a reduced glucose uptake by the liver in comparison with patients with mIS.
The combination of HOMA, protein, transaminases and FIB-4 is a simple and reliable tool for identifying mIR in patients with T2D. This information will be useful to improve the stratification of cardiovascular risk in T2D.
我们报告称,大约 60%的 2 型糖尿病(T2D)患者存在心肌胰岛素抵抗(mIR),与胰岛素敏感心肌(mIS)患者相比,这些患者的心血管风险更高。这两种表型(mIR 与 mIS)只能通过耗时且昂贵的方法进行评估。本研究旨在寻找一种简单可靠的替代方法来识别这两种表型。
前瞻性招募了 47 名接受心肌[18F]FDG PET/CT 检查的 T2D 患者,这些患者在进行高胰岛素-正常血糖钳夹(HEC)以确定 mIR 之前和之后都接受了检查。在 HEC 前后进行生化评估。计算了基线肝脂肪变性指数和肝纤维化指数(FIB-4)。此外,使用瞬时弹性成像进行了肝硬度测量。
预测 mIR 存在的最佳模型是转氨酶、蛋白水平、FIB-4 评分和 HOMA 的组合(AUC=0.95;敏感性:0.81;特异性:0.95)。与 mIS 患者相比,mIR 患者的纤维化水平显著更高(=0.034)。此外,我们发现 mIR 患者的肝脏葡萄糖摄取量低于 mIS 患者。
HOMA、蛋白、转氨酶和 FIB-4 的组合是一种简单可靠的工具,可用于识别 T2D 患者中的 mIR。这些信息将有助于改善 T2D 患者的心血管风险分层。