Ke Li, Tang Qiaosheng, Li Ying, Xing Wenli, Zhao Lei, Jiang Sili
Department of Cerebrovascular Diseases, Suining Central Hospital, Suining, Sichuan, China.
Department of Neurology, Guilin Women's and Children's Hospital, Guilin, Guangxi, China.
Front Nutr. 2025 Aug 11;12:1576724. doi: 10.3389/fnut.2025.1576724. eCollection 2025.
Inflammation is an important factor in Parkinson's disease (PD). Researchers are exploring the integration of multiple biomarkers, including inflammatory and non-inflammatory markers, to enhance predictive value. Neutrophil percentage-to-albumin ratio (NPAR), a novel inflammatory biomarker, offers economic efficiency and accessibility. However, the association between NPAR and PD remains to be elucidated.
We conducted a cross-sectional study involving participants aged 40 years and above from the National Health and Nutrition Examination Survey (NHANES) database, spanning the years 1999 to 2018. NPAR was calculated as neutrophil percentage (in total white blood cell (WBC) count) (%) × 100/albumin (g/dL). A multivariable logistic regression model was employed to examine the independent association between NPAR and PD while adjusting for demographic factors; educational level; income-to-poverty ratio; smoking status; alcohol consumption; body mass index (BMI); physical activity; and history of hypertension, diabetes, hyperlipidaemia and cardiovascular diseases. Additionally, subgroup analyses were conducted to investigate whether the effect of NPAR varied across different demographic subgroups.
The NPAR score demonstrates a significant positive correlation with PD. When examined as a categorical variable, individuals in the highest tertiles of NPAR show a 65% increased prevalence of PD compared to those in the lowest tertiles (odds ratio [OR] 1.65 [95% confidence interval {CI} 1.16, 2.34]). Moreover, weighted restricted cubic spline and threshold effect analyses confirmed a positive association between NPAR and PD, identifying a threshold and saturation effect inflextion point at 9.82. An elevated likelihood of PD development exists beyond the NPAR level of 9.82 (OR 1.12 [95% CI: 1.06, 1.19]). Additionally, subgroup analyses and interaction tests reveal that BMI and hypertension significantly influence the relationship between NPAR and PD ( < 0.05).
Our study revealed a positive association between NPAR levels and PD, indicating that high NPAR levels are associated with an increased likelihood of developing PD.
炎症是帕金森病（PD）的一个重要因素。研究人员正在探索整合多种生物标志物，包括炎症和非炎症标志物，以提高预测价值。中性粒细胞百分比与白蛋白比值（NPAR）是一种新型炎症生物标志物，具有经济高效和易于获取的特点。然而，NPAR与PD之间的关联仍有待阐明。
我们进行了一项横断面研究，研究对象为1999年至2018年美国国家健康与营养检查调查（NHANES）数据库中年龄在40岁及以上的参与者。NPAR的计算方法为中性粒细胞百分比（占白细胞（WBC）总数的百分比）（%）×100/白蛋白（g/dL）。采用多变量逻辑回归模型，在调整人口统计学因素、教育水平、收入贫困比、吸烟状况、饮酒情况、体重指数（BMI）、身体活动以及高血压、糖尿病、高脂血症和心血管疾病史后，检验NPAR与PD之间的独立关联。此外，还进行了亚组分析，以调查NPAR的影响在不同人口亚组中是否存在差异。
NPAR评分与PD呈显著正相关。当作为分类变量进行检查时，NPAR最高三分位数的个体患PD的患病率比最低三分位数的个体高65%（优势比[OR]1.65[95%置信区间{CI}1.16,2.34]）。此外，加权受限立方样条和阈值效应分析证实了NPAR与PD之间存在正相关，确定阈值和饱和效应拐点为9.82。当NPAR水平超过9.82时，患PD的可能性增加（OR 1.12[95%CI：1.06,1.19]）。此外，亚组分析和交互检验表明，BMI和高血压显著影响NPAR与PD之间的关系（<0.05）。
我们的研究揭示了NPAR水平与PD之间存在正相关，表明高NPAR水平与患PD的可能性增加有关。
