结合荧光微球的抗 NGAL 抗体检测条带--可靠、准确预测肾损伤的新工具

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2024-07-20 DOI:10.1016/j.cca.2024.119874
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引用次数: 0

摘要

目的:中性粒细胞明胶酶相关脂联素(NGAL)已被国际肾脏病协会(INA)确定为一种有希望用于早期评估肾损伤的生物标记物。本研究旨在开发和评估 NGAL 试纸,将其作为一种快速、简单、经济的急性肾损伤(AKI)早期诊断方法:方法:制备重组原核表达载体、纯化的 NGAL 蛋白和抗 NGAL 单克隆抗体。方法:制备重组原核表达载体、纯化的 NGAL 蛋白和抗 NGAL 单克隆抗体,开发 NGAL 检测试纸条,并于 2023 年 1 月至 2024 年 5 月期间在中山大学附属第三医院采集健康人和早期肾损伤患者的血清样本。使用自制试纸条和市售试剂对样本进行检测:NGAL检测试纸条由一个含有0.2微升与抗NGAL单克隆抗体(McAb7#)结合的荧光微球的结合垫、一个含有1毫克/毫升不同抗NGAL单克隆抗体(McAb3#)的检测线和一个含有0.5毫克/毫升山羊抗小鼠IgG的对照线组成。检测使用 60 μL 样品(用 30 μL 样品稀释液稀释 30 μL 血清),在 25 °C 和 35 %-85 % 相对湿度条件下 15 分钟内完成。所开发的试纸条能准确检测 NGAL,在 0-160 ng/mL 范围内线性良好(R2 = 0.9943)。NGAL 检测条诊断 AKI 的敏感性和特异性分别为 86.1 % 和 78.8 %,与市售检测试剂的性能相当:结论:利用抗 NGAL 抗体和荧光微球开发的检测条能有效检测血清样本中的微量 NGAL 蛋白。
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Detection strip of anti-NGAL antibody coupled with fluorescent microspheres-A novel tool for reliable and accurate prediction of renal injury

Objective

Neutrophil gelatinase-associated lipocalin (NGAL) has been identified by the International Nephrology Association (INA) as a promising biomarker for the early evaluation of renal injury. This study aimed to develop and evaluate NGAL test strips as a rapid, simple, and economical method for the early diagnosis of acute kidney injury (AKI).

Methods

Recombinant prokaryotic expression vectors, purified NGAL protein, and anti-NGAL monoclonal antibodies were prepared. NGAL test strips were developed, and serum samples were collected from healthy individuals and patients with early-stage kidney injury at the Third Affiliated Hospital of Sun Yat-sen University between January 2023 and May 2024. Samples were tested using both the self-made strips and commercially available reagents.

Results

The NGAL test strip comprised a conjugate pad containing 0.2 μL of fluorescent microspheres conjugated with anti-NGAL monoclonal antibody (McAb7#), a test line containing 1 mg/mL of a different anti-NGAL monoclonal antibody (McAb3#), and a control line containing 0.5 mg/mL of goat anti-mouse IgG. The test utilized 60 μL of sample (30 μL serum diluted with 30 μL of sample diluent) and was completed within 15 min at 25 °C and 35 %-85 % relative humidity. The developed strip accurately detected NGAL, demonstrating good linearity within the range of 0–160 ng/mL (R2 = 0.9943). The sensitivity and specificity of the NGAL strip for AKI diagnosis were 86.1 % and 78.8 %, respectively, comparable to the performance of commercially available testing reagents.

Conclusion

The developed test strip, utilizing anti-NGAL antibodies coupled with fluorescent microspheres, effectively detected trace amounts of NGAL protein in serum samples.

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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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