Liu Jierui, Fu Qingan, Su Ruolin, Liu Rixiang, Wu Shisheng, Li Ke, Wu Jianhua, Zhang Nuobei
Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Cardiovascular Medicine Department, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Front Endocrinol (Lausanne). 2024 Aug 30;15:1460280. doi: 10.3389/fendo.2024.1460280. eCollection 2024.
Nonalcoholic fatty liver disease (NAFLD) is a prevalent metabolic disorder strongly linked to type 2 diabetes mellitus (T2DM). Understanding the predictive value of lipid parameters in identifying abnormal glucose metabolism in NAFLD patients is crucial for early intervention.
This study analyzed data from the National Health and Nutrition Examination Survey(NHANES) database (2017-2020) involving 1066 NAFLD patients. Participants were categorized into three groups: T2DM (n=414), prediabetes mellitus (pre-DM) (n=507), and normoglycemia (NG) (n=145). Traditional lipid parameters [triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C)] and nontraditional lipid parameters [atherogenic index of plasma (AIP), residual cholesterol (RC), and non-high-density lipoprotein cholesterol (non-HDL-C)] were evaluated for their association with T2DM and pre-DM.
Elevated TG levels were significantly associated with an increased risk of T2DM and pre-DM, whereas high HDL-C demonstrated a protective effect. Among nontraditional lipid parameters, increased AIP and RC were most strongly associated with T2DM risk, while high non-HDL-C was best associated with the development of pre-DM. Stratified analyses revealed that these associations were stronger in younger, non-obese, smoking, and female NAFLD patients.
Nontraditional lipid parameters, particularly AIP and RC, show superior predictive value over traditional lipid parameters in identifying abnormal glucose metabolism in NAFLD patients. Incorporating these novel biomarkers into clinical practice could enhance early detection and prevention strategies for T2DM and pre-DM in this high-risk population.
非酒精性脂肪性肝病(NAFLD)是一种普遍存在的代谢紊乱疾病,与2型糖尿病(T2DM)密切相关。了解脂质参数在识别NAFLD患者异常糖代谢中的预测价值对于早期干预至关重要。
本研究分析了来自国家健康与营养检查调查(NHANES)数据库(2017 - 2020年)中1066例NAFLD患者的数据。参与者被分为三组:T2DM组(n = 414)、糖尿病前期(pre - DM)组(n = 507)和血糖正常(NG)组(n = 145)。评估了传统脂质参数[甘油三酯(TG)和高密度脂蛋白胆固醇(HDL - C)]以及非传统脂质参数[血浆致动脉粥样硬化指数(AIP)、残余胆固醇(RC)和非高密度脂蛋白胆固醇(non - HDL - C)]与T2DM和pre - DM的关联。
TG水平升高与T2DM和pre - DM风险增加显著相关,而高HDL - C具有保护作用。在非传统脂质参数中,AIP和RC升高与T2DM风险关联最为密切,而高non - HDL - C与pre - DM的发生关联最佳。分层分析显示,这些关联在年轻、非肥胖、吸烟和女性NAFLD患者中更强。
非传统脂质参数,特别是AIP和RC,在识别NAFLD患者异常糖代谢方面比传统脂质参数具有更高的预测价值。将这些新型生物标志物纳入临床实践可以加强对这一高危人群中T2DM和pre - DM的早期检测和预防策略。