Chen Tong, Wu Shiquan, Feng Ling, Long SiYu, Liu Yu, Lu WenQian, Chen Wenya, Hong Guoai, Zhou Li, Wang Fang, Luo Yuechan, Zou Hequn
Department of Nephrology, South China Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, People's Republic of China.
Diabetes Metab Syndr Obes. 2024 Jan 23;17:363-377. doi: 10.2147/DMSO.S446859. eCollection 2024.
The annual prevalence of metabolic syndrome (MetS) is increasing. Therefore, early screening and recognition of MetS are critical. This study aimed to evaluate the association between high-density lipoprotein (HDL) subclasses and MetS and to examine whether they could serve as early indicators in a Chinese community-based population with normal high-density lipoprotein cholesterol (HDL-C) levels.
We used microfluidic chip technology to measure HDL subclasses in 463 people with normal HDL levels in 2018. We assessed how HDL subclasses correlated with and predicted insulin resistance (IR) and metabolic syndrome (MetS), evaluated by homeostatic model insulin resistance index (HOMA-IR) and the 2009 International Diabetes Federation (IDF), the American Heart Association (AHA), and the National Heart, Lung, and Blood Institute (NHLBI) criteria, respectively. We used correlation tests and ROC curves for the analysis.
The results indicate that there was a negative association between HDL2b% and the risk of IR and MetS in both sexes. Subjects in the highest quartile of HDL2b% had a significantly lower prevalence of IR and MetS than those in the lowest quartile (P<0.01). Correlation analysis between HDL2b% and metabolic risk factors showed that HDL2b% had a stronger association with these factors than HDL-C did in both sexes. ROC curve analysis also showed that HDL2b% had significant diagnostic value for IR and MetS compared to other lipid indicators.
This study showed that MetS alters the distribution of HDL subclasses even when HDL-C levels are within the normal range. HDL-2b% has better diagnostic value for IR and MetS than HDL-C alone and may be a useful marker for early screening.
代谢综合征（MetS）的年患病率正在上升。因此，早期筛查和识别MetS至关重要。本研究旨在评估高密度脂蛋白（HDL）亚类与MetS之间的关联，并检验它们是否可作为中国社区正常高密度脂蛋白胆固醇（HDL-C）水平人群的早期指标。
2018年，我们使用微流控芯片技术测量了463名HDL水平正常者的HDL亚类。我们评估了HDL亚类与胰岛素抵抗（IR）和代谢综合征（MetS）的相关性及预测能力，分别通过稳态模型胰岛素抵抗指数（HOMA-IR）以及2009年国际糖尿病联盟（IDF）、美国心脏协会（AHA）和美国国立心肺血液研究所（NHLBI）的标准进行评估。我们使用相关性检验和ROC曲线进行分析。
结果表明，HDL2b%与男女IR和MetS风险之间存在负相关。HDL2b%最高四分位数的受试者IR和MetS的患病率显著低于最低四分位数的受试者（P<0.01）。HDL2b%与代谢危险因素的相关性分析表明，HDL2b%与这些因素的关联在男女中均比HDL-C更强。ROC曲线分析还表明，与其他血脂指标相比，HDL2b%对IR和MetS具有显著的诊断价值。
本研究表明，即使HDL-C水平在正常范围内，MetS也会改变HDL亚类的分布。HDL-2b%对IR和MetS具有比单独的HDL-C更好的诊断价值，可能是早期筛查的有用标志物。
