Martínez-Boloña Giosvany, Martínez-Vieyra Ivette, de la Mora M B, Fuentes-García Marco Antonio, Reyes-López César, Cerecedo Doris
Laboratorio de Hematobiología, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México 07700, Mexico.
Instituto de Ciencias Aplicadas y Tecnología UNAM, Circuito Ext. S/N, Cd. Universitaria, Ciudad de México 04510, Mexico.
Biosensors (Basel). 2025 Jun 20;15(7):399. doi: 10.3390/bios15070399.
Arterial hypertension (HTN) is a growing global health concern, with limited tools available for early detection. Previous studies identified the overexpression of the epithelial sodium channel (ENaC) as a potential biomarker for HTN. In this work, we optimized and clinically validated a lateral flow immunoassay (LFIA) using gold nanoparticles (AuNPs) functionalized with anti-ENaC antibodies. The test strips were prepared with 10 µL of each component and performed in a 9-point herringbone format. For validation, a double-blind study was conducted using platelet lysates from 200 individuals, classified based on real-time blood pressure measurements. ENaC expression was assessed via both LFIA and Western blotting, which served as the reference method. Receiver operating characteristic (ROC) analysis yielded an AUC of 0.7314 for LFIA and 0.6491 for the Western blot, with LFIA demonstrating higher sensitivity (76.24%) and comparable specificity (61.54%) compared to the Western blot (68.31% and 60.34%, respectively). These results support LFIA as a practical, rapid, and moderately accurate tool for screening ENaC levels and identifying individuals at risk of hypertension.
动脉高血压（HTN）是一个日益受到全球关注的健康问题，早期检测工具有限。先前的研究确定上皮钠通道（ENaC）的过表达是HTN的潜在生物标志物。在这项工作中，我们优化并临床验证了一种使用用抗ENaC抗体功能化的金纳米颗粒（AuNP）的侧向流动免疫分析（LFIA）。测试条用每种成分10μL制备，并以9点人字形格式进行。为了进行验证，使用来自200名个体的血小板裂解物进行了一项双盲研究，根据实时血压测量进行分类。通过LFIA和蛋白质免疫印迹法评估ENaC表达，蛋白质免疫印迹法作为参考方法。受试者工作特征（ROC）分析得出LFIA的曲线下面积（AUC）为0.7314，蛋白质免疫印迹法为0.6491，与蛋白质免疫印迹法（分别为68.31%和60.34%）相比，LFIA显示出更高的灵敏度（76.24%）和相当的特异性（61.54%）。这些结果支持LFIA作为一种实用、快速且中等准确的工具，用于筛查ENaC水平并识别有高血压风险的个体。
