The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun, 130012, China.
Pharmacy Department of Medical Security Center of PLA General Hospital, Beijing, China.
Sci Rep. 2024 Nov 4;14(1):26646. doi: 10.1038/s41598-024-77802-y.
Metabolic syndrome (MetS) is a cluster of conditions that increase the risk of cardiovascular disease and diabetes. This study aimed to investigate the association between Neutrophil-Percentage-to-Albumin Ratio (NPAR) and MetS in a large, nationally representative US population. We analyzed data from 28,178 participants in the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Logistic regression models were used to evaluate the association between NPAR and MetS. Restricted cubic spline (RCS) models were employed to assess the dose-response relationship. Mediation analyses were conducted to explore potential mediating effects of serum uric acid and triglyceride-glucose (TyG) index. After adjusting for confounders, participants in the highest NPAR quartile had a 14% higher risk of MetS compared to those in the lowest quartile (OR 1.14, 95%CI 1.03-1.27, P = 0.010). RCS models revealed a monotonic increasing trend between NPAR and MetS risk (P for overall association = 0.002). Mediation analyses showed that serum uric acid and TyG index mediated 14.93% and 29.45% of the total effect of NPAR on MetS, respectively. Subgroup analyses indicated that the positive association between NPAR and MetS was more pronounced in Mexican Americans, individuals aged 20-65 years, those with lower income, males, current smokers, and moderate drinkers. Higher NPAR is associated with increased risk of MetS in the US adult population. This association is partially mediated by serum uric acid and TyG index. These findings suggest that NPAR may serve as a novel biomarker for MetS risk assessment and provide insights into potential mechanisms linking inflammation and metabolic disorders.
代谢综合征（MetS）是一组增加心血管疾病和糖尿病风险的病症。本研究旨在调查中性粒细胞百分比与白蛋白比值（NPAR）与美国大型代表性人群代谢综合征之间的关系。我们分析了 2005 年至 2018 年国家健康和营养检查调查（NHANES）中 28178 名参与者的数据。使用逻辑回归模型评估 NPAR 与 MetS 之间的关联。采用限制立方样条（RCS）模型评估剂量反应关系。进行中介分析以探索血清尿酸和甘油三酯-葡萄糖（TyG）指数的潜在中介作用。在调整混杂因素后，与最低 NPAR 四分位组相比，NPAR 最高四分位组患 MetS 的风险增加 14%（OR 1.14，95%CI 1.03-1.27，P=0.010）。RCS 模型显示 NPAR 与 MetS 风险之间存在单调递增趋势（总体关联 P 值=0.002）。中介分析表明，血清尿酸和 TyG 指数分别介导了 NPAR 对 MetS 总效应的 14.93%和 29.45%。亚组分析表明，NPAR 与 MetS 之间的正相关在墨西哥裔美国人、20-65 岁人群、收入较低人群、男性、当前吸烟者和适度饮酒者中更为明显。较高的 NPAR 与美国成年人群代谢综合征风险增加相关。这种关联部分通过血清尿酸和 TyG 指数介导。这些发现表明，NPAR 可能作为代谢综合征风险评估的新型生物标志物，并提供了关于炎症和代谢紊乱之间潜在机制的见解。
