Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Division of Rheumatology, Department of Medicine, National University Hospital, Singapore.
Lupus Sci Med. 2024 Jan 22;11(1):e001030. doi: 10.1136/lupus-2023-001030.
Patients with systemic lupus erythematosus (SLE) have increased risk of premature atherosclerosis but the exact mechanisms remains unclear. Flow-mediated dilatation (FMD) is an established non-invasive assessment of vascular endothelial function. Lipoprotein subfractions may be better predictors of FMD than conventional cholesterol measurements. We tested the hypothesis that lipoprotein subfractions are independently associated with FMD.
Forty-one consecutive adult patients with SLE without known cardiovascular risk factors or disease were recruited in this cross-sectional study. Endothelial function and early atherosclerosis were assessed by brachial FMD and common carotid artery (CCA) intima-media thickness (IMT). High-density lipoprotein (HDL)/low-density lipoprotein (LDL) subfractions were measured. Machine learning models were also constructed to predict FMD and CCA IMT.
Median FMD was 4.48% (IQR 5.00%) while median IMT was 0.54 mm (IQR 0.12 mm). Univariate analysis showed lower LDL1 (r=-0.313, p<0.05) and higher HDL2 subfractions (r=0.313, p<0.05) were significantly associated with higher log-transformed FMD. In a multiple linear regression model, HDL2 (β=0.024, SE=0.012, p<0.05) remained an independent predictor of higher FMD after adjusting for age, body mass index, LDL1 and systolic blood pressure. The machine learning model included parameters such as HDL2 (positive association), prednisolone dose, LDL cholesterol and LDL1 for prediction of FMD (r=0.433, p<0.01). Age, LDL cholesterol and systolic blood pressure were independently associated with higher CCA IMT after adjusting for body mass index and HDL2.
HDL 2, a large HDL particle, was independently associated with greater FMD and may be a biomarker of vascular health in SLE.
红斑狼疮(SLE)患者发生早发动脉粥样硬化的风险增加,但确切机制尚不清楚。血流介导的血管舒张(FMD)是一种公认的血管内皮功能的非侵入性评估方法。脂蛋白亚组分可能比传统的胆固醇测量更能预测 FMD。我们检验了这样一个假设,即脂蛋白亚组分与 FMD 独立相关。
在这项横断面研究中,我们招募了 41 名连续的、患有 SLE 的成年患者,他们没有已知的心血管危险因素或疾病。通过肱动脉 FMD 和颈总动脉(CCA)内膜中层厚度(IMT)评估内皮功能和早期动脉粥样硬化。测量高密度脂蛋白(HDL)/低密度脂蛋白(LDL)亚组分。还构建了机器学习模型来预测 FMD 和 CCA IMT。
中位 FMD 为 4.48%(IQR 5.00%),中位 IMT 为 0.54mm(IQR 0.12mm)。单变量分析显示,较低的 LDL1(r=-0.313,p<0.05)和较高的 HDL2 亚组分(r=0.313,p<0.05)与较高的对数 FMD 显著相关。在多元线性回归模型中,在调整年龄、体重指数、LDL1 和收缩压后,HDL2(β=0.024,SE=0.012,p<0.05)仍然是 FMD 的独立预测因子。机器学习模型包括参数,如 HDL2(正相关)、泼尼松剂量、LDL 胆固醇和 LDL1,用于预测 FMD(r=0.433,p<0.01)。在调整体重指数和 HDL2 后,年龄、LDL 胆固醇和收缩压与较高的 CCA IMT 独立相关。
大 HDL 颗粒 HDL2 与更大的 FMD 独立相关,可能是 SLE 血管健康的生物标志物。