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餐后脂蛋白代谢:VLDL 与乳糜微粒。

Postprandial lipoprotein metabolism: VLDL vs chylomicrons.

机构信息

School of Health Sciences, Faculty of Medicine, Gunma University, Maebashi, Gunma, Japan.

出版信息

Clin Chim Acta. 2011 Jul 15;412(15-16):1306-18. doi: 10.1016/j.cca.2011.04.018. Epub 2011 Apr 19.

Abstract

Since Zilversmit first proposed postprandial lipemia as the most common risk of cardiovascular disease, chylomicrons (CM) and CM remnants have been thought to be the major lipoproteins which are increased in the postprandial hyperlipidemia. However, it has been shown over the last two decades that the major increase in the postprandial lipoproteins after food intake occurs in the very low density lipoprotein (VLDL) remnants (apoB-100 particles), not CM or CM remnants (apoB-48 particles). This finding was obtained using the following three analytical methods; isolation of remnant-like lipoprotein particles (RLP) with specific antibodies, separation and detection of lipoprotein subclasses by gel permeation HPLC and determination of apoB-48 in fractionated lipoproteins by a specific ELISA. The amount of the apoB-48 particles in the postprandial RLP is significantly less than the apoB-100 particles, and the particle sizes of apoB-48 and apoB-100 in RLP are very similar when analyzed by HPLC. Moreover, CM or CM remnants having a large amount of TG were not found in the postprandial RLP. Therefore, the major portion of the TG which is increased in the postprandial state is composed of VLDL remnants, which have been recognized as a significant risk for cardiovascular disease.

摘要

自 Zilversmit 首次提出餐后血脂异常是心血管疾病最常见的风险以来,乳糜微粒 (CM) 和 CM 残粒一直被认为是餐后高脂血症中增加的主要脂蛋白。然而,在过去的二十年中已经表明,在进食后,餐后脂蛋白的主要增加发生在极低密度脂蛋白 (VLDL) 残粒(载脂蛋白 B-100 颗粒)中,而不是 CM 或 CM 残粒(载脂蛋白 B-48 颗粒)中。这一发现是通过以下三种分析方法获得的:用特异性抗体分离残粒样脂蛋白颗粒 (RLP)、凝胶渗透 HPLC 分离和检测脂蛋白亚类以及用特异性 ELISA 测定脂蛋白分级中的载脂蛋白 B-48。餐后 RLP 中的载脂蛋白 B-48 颗粒数量明显少于载脂蛋白 B-100 颗粒,并且当用 HPLC 分析时,载脂蛋白 B-48 和载脂蛋白 B-100 的颗粒大小在 RLP 中非常相似。此外,在餐后 RLP 中未发现含有大量 TG 的 CM 或 CM 残粒。因此,在餐后状态下增加的 TG 的主要部分由 VLDL 残粒组成,VLDL 残粒已被认为是心血管疾病的一个重要危险因素。

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