检验医学 ›› 2019, Vol. 34 ›› Issue (5): 394-400.DOI: 10.3969/j.issn.1673-8640.2019.05.003

• 临床应用研究·论著 • 上一篇    下一篇

脂蛋白残粒胆固醇在血脂管理中的临床价值

宋云霄, 葛雯, 张海晨, 袁文华, 戴珺, 尤闻世   

  1. 上海市徐汇区中心医院检验科,上海 200031
  • 收稿日期:2018-12-17 出版日期:2019-05-30 发布日期:2019-05-28
  • 作者简介:null

    作者简介:宋云霄,男,1973年生,副主任技师,主要从事临床生物化学检验工作。葛 雯,女,1976年生,主管技师,主要从事临床生物化学检验工作。宋云霄和葛雯对本研究具有同等贡献,并列为第一作者。

Role of remnant lipoprotein cholesterol in the management of blood lipid

SONG Yunxiao, GE Wen, ZHANG Haichen, YUAN Wenhua, DAI Jun, YOU Wenshi   

  1. Department of Clinical Laboratory,Shanghai Xuhui Central Hospital,Shanghai 200031,China
  • Received:2018-12-17 Online:2019-05-30 Published:2019-05-28

摘要:

目的 探讨脂蛋白残粒胆固醇(RLP-C)与心血管疾病(CVD)相关生物标志物的关联和差异及其在血脂管理中的价值。方法 检测437名体检者的血糖(Glu)、RLP-C、总胆固醇(TC)、三酰甘油(TG)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)、小而密低密度脂蛋白胆固醇(sd-LDL-C)、载脂蛋白(apo)A1、apo B、脂蛋白(a)[Lp(a)]、脂蛋白相关磷脂酶A2(Lp-PLA2)和C反应蛋白(CRP),将直接测得的RLP-C记为RLP-C-m,将计算得到的RLP-C记为RLP-C-calc,同时计算非高密度脂蛋白胆固醇(non-HDL-C)。通过相关性分析和分层比较探讨RLP-C与其他脂类风险因子的关联和差异以及不同方法对测得的RLP-C水平的影响。结果 男性与女性比较,除年龄、Glu、LDL-C、sd-LDL-C和Lp-PLA2外,其他各项指标差异均有统计学意义(P<0.05)。RLP-C与年龄、Glu、HDL-C、apo A1、Lp(a)、Lp-PLA2和CRP的r值均较小,呈弱相关(P<0.05)。RLP-C-m、RLP-C-calc与non-HDL-C、TC、TG、LDL-C、apo B和sd-LDL-C均呈正相关(P<0.001)。RLP-C-m与TG呈强正相关(r=0.899,P<0.001)。RLP-C-calc与non-HDL-C和TC呈强正相关(P<0.001)。RLP-C-m与RLP-C-calc、non-HDL-C均呈强正相关(P<0.001)。RLP-C-m结果随RLP-C-calc结果的升高而升高,但总体结果低于RLP-C-calc。将437名研究对象按TG水平(<1.00、1.00~1.99、2.00~2.99、≥3.00 mmol/L)进行分组。结果显示,RLP-C-m、RLP-C-calc、non-HDL-C、TC、sd-LDL-C水平以及RLP-C-m占RLP-C-calc的百分比均随TG水平的升高而升高,单因素分析显示不同TG水平各组间RLP-C-m和RLP-C-calc差异有统计学意义(P<0.001)。结论 RLP-C与TG呈强正相关,是较为恒定的生物标志物。不同方法学测得的RLP-C值互不相同,但有关联性。检测RLP-C水平或可为CVD患者的血脂管理和风险控制提供帮助,但是否能作为独立的CVD风险预测因子尚需进一步研究。

关键词: 脂蛋白残粒胆固醇, 富三酰甘油脂蛋白, 血脂管理, 心血管疾病

Abstract:

Objective To investigate the role of remnant lipoprotein cholesterol (RLP-C) in the management of blood lipid and the correlation between RLP-C and cardiovascular disease(CVD) associated biomarkers. Methods Serum levels of RLP-C,glucose (Glu),triglyceride (TG),total cholesterol (TC),low-density lipoprotein cholesterol (LDL-C),high-density lipoprotein cholesterol (HDL-C),small-density low-density lipoprotein cholesterol (sd-LDL-C),apolipoprotein (apo) A1, apo B,lipoprotein(a) [Lp(a)],lipoprotein-associated phospholipase A2 (Lp-PLA2) and C-reactive protein (CRP) of 437 healthy subjects were determined. The levels of RLP-C determined directly were marked RLP-C-m, and those calculated were marked RLP-C-calc,and non-HDL-C was calculated. Correlation analysis and stratified analysis were used to investigate the correlation and discrepancy between RLP-C and other CVD associated biomarkers and the influence of methodology on the level of RLP-C acquired. Results There was statistical significance in biomarkers between females and males,except ages,Glu,LDL-C,sd-LDL-C and Lp-PLA2P<0.05). The correlations between RLP-C and ages,Glu,HDL-C,apo A1,Lp(a),Lp-PLA2 and CRP were relatively weak with small rP<0.05). RLP-C-m and RLP-C-calc were positively correlated with non-HDL-C,TC,TG,LDL-C,apo B and sd-LDL-C (P<0.001). RLP-C-m was positively correlated with TG (r=0.899,P<0.001). RLP-C-calc and non-HDL-C were strongly and positively correlated with TC(P<0.001),and RLP-C-m was positively correlated with RLP-C-calc and non-HDL-C (P<0.001). The RLP-C-m level was elevated with the increase of RLP-C-calc,but it was constantly lower than RLP-C-calc. The 437 healthy subjects were stratified according to the levels of TG (<1.00,1.00-1.99,2.00-2.99 and ≥3.00 mmol/L). The levels of RLP-C-m,RLP-C-calc, non-HDL-C, TC,sd-LDL-C and RLP-C-m were elevated with the increase of TG. The analysis of variance(ANOVA) suggested that,among the biomarkers,RLP-C-m and RLP-C-calc showed statistical significance among all the groups (P<0.001). Conclusions RLP-C is a constant biomarker with strong and positive correlation with TG. The levels of RLP-C determined by different methods differs from each other, but they are correlated. The determination of RLP-C might help blood lipid management and risk control in CVD patients,but further researches are required to regard it as an independent factor for predicting CVD risk.

Key words: Remnant lipoprotein cholesterol, Triglyceride-rich lipoprotein, Blood lipid management, Cardiovascular disease

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