维生素A缺乏侧向流检测试纸：准确率93.70% 可分正常、亚临床与临床缺乏三档
《科学报告》11月14日发表的一项研究介绍了一种用于半定量检测维生素A缺乏的即时侧向流检测试纸。该研究由 Pinto、Shettigar、Mahesh 等人完成，论文于8月27日投稿、11月3日被接受。
研究团队以视黄醇结合蛋白（RBP）为标志物，开发了基于金纳米颗粒的侧向流检测（LFA）试纸。抗体偶联的最佳条件为 pH 8.5，捕获抗体用量为0.5至1微克时形成检测线。试纸结果经酶联免疫吸附测定（ELISA）确认和验证。
按 RBP 浓度，试纸可把样本分为三档：正常（高于19微克/毫升）、亚临床缺乏（12至19微克/毫升）和临床缺乏（低于12微克/毫升）。其准确率为93.70%，灵敏度为93.95%，特异度为92.73%，与 ELISA 在区分低 RBP 与正常 RBP 方面一致性良好。
作者表示，该试纸为快速、简单、经济的即时筛查提供了有前景的方案，适合资源有限地区；同时指出，在用于即时筛查之前，仍需临床验证以确认临床临界值和实际可行性。
Point-of-Care Lateral Flow Assay for Vitamin A Deficiency: 93.70% Accuracy Across Normal, Subclinical and Clinical Categories
A study published in Scientific Reports on November 14 presents a point-of-care lateral flow assay for the semiquantitative detection of vitamin A deficiency. The work, by Pinto, Shettigar, Mahesh and colleagues, was received on August 27 and accepted on November 3.
The team used retinol-binding protein (RBP) as the marker for a gold nanoparticle-based lateral flow assay (LFA). Optimal conditions for antibody conjugation were achieved at pH 8.5, and 0.5 to 1 microgram of the capture antibody resulted in formation of the test line. Values from the LFA kit were confirmed and validated by ELISA.
The assay classifies samples into three categories by RBP level: normal (above 19 micrograms per milliliter), subclinical deficiency (12 to 19 micrograms per milliliter), and clinical deficiency (below 12 micrograms per milliliter). It demonstrated 93.70% accuracy, 93.95% sensitivity and 92.73% specificity, with good agreement with ELISA in distinguishing low from normal RBP levels.
The authors said the semiquantitative LFA shows promise for rapid, simple and economical point-of-care screening suitable for limited-resource settings, while noting that clinical verification is still needed to validate the clinical cutoffs and the test's feasibility for point-of-care screening.
来源：《科学报告》
发布：GSM·美国（发布链接）
图片来源：图：手持式侧向流检测试纸读取设备（资料图）。Detekt 摄，公共领域，经 Wikimedia Commons。 / Photo: A handheld lateral flow assay reader (file photo). By Detekt, public domain, via Wikimedia Commons.
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