[密度小的低密度脂蛋白胆固醇与自由浮动的大容量低密度脂蛋白胆固醇之比作为 2 型糖尿病和代谢综合征患者独立风险因素的作用]。

Cui Wang, Yaoze Li, Pei Peng, Hao Lin, Yulin Zhu, Xiangdong Xu, PingPing Wu, Yali Zhang, Ting Xu, Jian Ren, Haibo Xu, Guoyu Dong, Yue Xu, Huihui Jiang, Jiangman Zhao, Yufeng Zhai, Guotian Zai
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引用次数: 0

摘要

血脂异常在代谢综合征(MS)中起着关键作用,而代谢综合征又与 2 型糖尿病(T2DM)密切相关。本研究旨在调查 T2DM 和 T2DM 伴 MS 患者低密度脂蛋白胆固醇(LDL-C)亚组分水平的差异,并确定与该疾病相关的风险因素。研究共招募了 246 名 T2DM 患者(包括 144 名 T2DM 多发性硬化症患者)和 147 名健康受试者。所有参与者都接受了全面的临床评估。使用 Lipoprint LDL 系统进行了脂蛋白亚组分分析。多变量逻辑回归分析显示,甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)、大浮力低密度脂蛋白胆固醇(lbLDL-C)、小致密低密度脂蛋白胆固醇(sdLDL-C)、LDLC2-5 和 sdLDL-C/lbLDL-C 比值等几种血脂指标被确定为 T2DM 的独立危险因素。此外,TG、sdLDL-C、LDLC-4、LDLC-5 和 sdLDL-C/lbLDL-C 比值也是 MS T2DM 的独立危险因素。此外,接受者操作特征曲线(ROC)结果表明,sdLDL-C、LDLC-4、LDLC-3 和 sdLDL-C/lbLDL-C 比值对 T2DM 风险具有极佳的预测性能(AUC > 0.9)。sdLDL-C/lbLDL-C 比值是 T2DM 和多发性硬化并发症的共同独立危险因素。此外,sdLDL-C/lbLDL-C 比值以及 LDL-4 和 LDL-3 对 T2DM 的预测能力也值得关注。
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The role of small dense LDL-C/large buoyant LDL-C ratio as an independent risk factor in patients with type 2 diabetes mellitus and metabolic syndrome

Dyslipidemia plays a key role in metabolic syndrome (MS), intricately linked to type 2 diabetes mellitus (T2DM). This study aimed to investigate the differences in low-density lipoprotein cholesterol (LDL-C) subfraction levels between T2DM and T2DM with MS, and identify the risk factors associated with the disease. A total of 246 individuals diagnosed with T2DM, including 144 T2DM patients with MS, and 147 healthy subjects were recruited. All participants underwent a comprehensive clinical evaluation. Lipoprotein subfraction analysis was performed using the Lipoprint LDL system. Multivariate logistic regression analysis revealed that several lipid markers, including triglyceride (TG), LDL-C, large buoyant LDL-C (lbLDL-C), small dense LDL-C (sdLDL-C), LDLC2-5, and sdLDL-C/lbLDL-C ratio, were identified as independent risk factors for T2DM. Additionally, TG, sdLDL-C, LDLC-4, LDLC-5, and sdLDL-C/lbLDL-C ratio were found to be independent risk factors for T2DM with MS. Furthermore, the results of the receiver operating characteristic (ROC) curves demonstrated that sdLDL-C, LDLC-4, LDLC-3, and sdLDL-C/lbLDL-C ratio exhibited excellent predictive performance for the risk of T2DM (AUC > 0.9). The sdLDL-C/lbLDL-C ratio emerges as a shared independent risk factor for T2DM and MS complications. Furthermore, sdLDL-C/lbLDL-C ratio, along with LDL-4 and LDL-3, exhibits noteworthy predictive capabilities for T2DM.

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