Suppr超能文献

小而密 LDL 胆固醇的优势将代谢不健康的超重成年人与代谢健康的超重成年人区分开来。

Predominance of small dense LDL differentiates metabolically unhealthy from metabolically healthy overweight adults in Korea.

机构信息

Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Department of Clinical Nursing Science, Yonsei University College of Nursing, Nursing Policy Research Institute, Biobehavioral Research Center, Seoul, Korea.

出版信息

Metabolism. 2014 Mar;63(3):415-21. doi: 10.1016/j.metabol.2013.11.015. Epub 2013 Nov 28.

Abstract

OBJECTIVE

The purposes of this study were (1) to determine the association between lipoprotein subfraction profiles and metabolically healthy overweight (MHO) phenotype, as defined by visceral adiposity; and (2) to identify the strongest predictor of metabolic health among the lipoprotein measurements.

MATERIALS/METHODS: This cross-sectional study was comprised of 462 overweight patients, who were classified as MHO or non-MHO based on their visceral adipose tissue (VAT) area to subcutaneous adipose tissue area (SAT) ratio (VAT/SAT ratio). Serum lipoprotein subfraction analyses and other metabolic parameters were measured.

RESULTS

Among the overweight participants, two hundred fifty-five individuals (53.7%) had the MHO phenotype. After adjusting for age, sex, medication, lifestyle factors, and confounding metabolic characteristics, the non-MHO group showed significantly higher lipid levels and a greater prevalence of unfavorable lipid profiles. LDL subclass pattern type B was the most significant predictor of the non-MHO phenotype (odds ratio 2.70; 95% CI 1.55-4.69), while serum LDL cholesterol level was not a significant predictor of the non-MHO phenotype.

CONCLUSIONS

Lipoprotein subfraction particle measurements were significantly associated with the non-MHO phenotype and a higher VAT/SAT ratio, with small dense LDL predominance being the most significant predictor of MHO phenotype. These findings will help identify MHO and non-MHO phenotypes and perhaps lead to a development of cost-effective individualized treatments.

摘要

目的

本研究旨在(1)确定脂蛋白亚组分谱与代谢健康超重(MHO)表型的关联,MHO 表型的定义为内脏脂肪;(2)确定脂蛋白测量中代谢健康的最强预测因子。

材料/方法:本横断面研究纳入了 462 名超重患者,根据其内脏脂肪组织(VAT)与皮下脂肪组织(SAT)面积的比值(VAT/SAT 比)将其分为 MHO 或非 MHO。测量血清脂蛋白亚组分分析和其他代谢参数。

结果

在超重参与者中,有 255 名(53.7%)个体具有 MHO 表型。调整年龄、性别、药物、生活方式因素和混杂的代谢特征后,非 MHO 组的血脂水平明显更高,且不利的血脂谱更为常见。LDL 亚类模式 B 是预测非 MHO 表型的最显著因素(比值比 2.70;95%置信区间 1.55-4.69),而血清 LDL 胆固醇水平不是非 MHO 表型的显著预测因子。

结论

脂蛋白亚组分颗粒测量与非 MHO 表型和更高的 VAT/SAT 比显著相关,小而密 LDL 占优势是 MHO 表型的最显著预测因子。这些发现将有助于识别 MHO 和非 MHO 表型,并可能导致开发具有成本效益的个体化治疗方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验