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沉淀的 sdLDL:一种估计 LDL 颗粒大小的简单方法。

Precipitated sdLDL: An easy method to estimate LDL particle size.

机构信息

Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.

Department of Biochemistry, Molecular Biology and Biomedicine, Autonomous University of Barcelona (UAB), Barcelona, Spain.

出版信息

J Clin Lab Anal. 2020 Jul;34(7):e23282. doi: 10.1002/jcla.23282. Epub 2020 Mar 21.

Abstract

BACKGROUND

LDL-C lowering is the main measure in cardiovascular disease prevention but a residual risk of ischemic events still remains. Alterations of lipoproteins, specially, increase in small dense LDL (sdLDL) particles are related to this risk.

OBJECTIVE

To investigate the potential use of sdLDL cholesterol concentration (sdLDL-C) isolated by an easy precipitation method and to assess the impact of a set of clinical and biochemical variables determined by NMR on sdLDL concentration.

METHODS

sdLDL-C and NMR lipid profile were performed in 85 men samples. Association among them was evaluated using Pearson coefficients (r ). A multivariate regression was performed to identify the influence of NMR variables on sdLDL-C.

RESULTS

A strong association between sdLDL-C and LDLLDL-P (r  = 0.687) and with LDL-Z (r  = -0.603) was found. The multivariate regression explained a 56.8% in sdLDL-C variation (P = 8.77.10-12). BMI, ApoB, triglycerides, FFA, and LDL-Z showed a significant contribution. The most important ones were ApoB and LDL-Z; a 1nm increase (LDL-Z) leads to decrease 126 nmol/L in sdLDL-C.

CONCLUSION

The association between sdLDL-C, LDL-Z, and LDL-P is clear. From a large number of variables, especially LDL-Z and apoB influence on sdLDL-C. Results show that the smaller the LDL size, the higher their cholesterol concentration. Therefore, sdLDL-C determination by using this easy method would be useful to risk stratification and to uncover cardiovascular residual risk.

摘要

背景

降低 LDL-C 是预防心血管疾病的主要措施,但缺血性事件的残余风险仍然存在。脂蛋白的改变,特别是小而密 LDL(sdLDL)颗粒的增加,与这种风险有关。

目的

研究一种简单沉淀法分离 sdLDL 胆固醇浓度(sdLDL-C)的潜在用途,并评估一组由 NMR 确定的临床和生化变量对 sdLDL 浓度的影响。

方法

对 85 名男性样本进行 sdLDL-C 和 NMR 血脂谱检测。采用 Pearson 系数(r)评估它们之间的相关性。进行多元回归分析以确定 NMR 变量对 sdLDL-C 的影响。

结果

发现 sdLDL-C 与 LDL-P(r=0.687)和 LDL-Z(r=-0.603)之间存在很强的相关性。多元回归解释了 sdLDL-C 变化的 56.8%(P=8.77.10-12)。BMI、ApoB、甘油三酯、FFA 和 LDL-Z 有显著贡献。最重要的是 ApoB 和 LDL-Z;LDL-Z 增加 1nm,sdLDL-C 减少 126nmol/L。

结论

sdLDL-C、LDL-Z 和 LDL-P 之间的相关性很明显。在大量变量中,特别是 LDL-Z 和 apoB 对 sdLDL-C 有影响。结果表明 LDL 颗粒越小,胆固醇浓度越高。因此,使用这种简单方法测定 sdLDL-C 有助于风险分层和揭示心血管残余风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f20/7370712/b87f5a425b30/JCLA-34-e23282-g001.jpg

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