用快速、超灵敏的磁化学发光免疫测定法检测血清 CC16,用于肺病诊断。

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Kaili Duan, Yu Xiang, Yilong Deng, Junman Chen, Ping Liu
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引用次数: 0

摘要

研究目的据报道,血清克拉拉细胞分泌蛋白 16(CC16)是肺损伤疾病的潜在生物标志物,但目前除 ELISA 外,还没有其他更快、更准确、更灵敏的方法应用于临床。本研究旨在建立一种高灵敏度自动检测血清克拉拉细胞分泌蛋白 16(CC16)的磁性纳米颗粒化学发光免疫分析法(MNPs-CLIA),并验证其对肺部疾病的诊断性能:研究包括CC16重组蛋白的表达、其单克隆抗体(MAb)的制备和筛选,以及MNPs-CLIA方法的构建、优化和分析评估。通过检测 296 份血清样本中的 CC16 水平,研究了该方法的临床应用价值:结果:MNPs-CLIA检测系统的线性范围为0.2-50 ng/mL,检出限为0.037 ng/mL。特异性、回收率和精密度等性能参数均符合体外诊断试剂的行业标准。所建立的方法与目前临床使用的酶联免疫吸附法(R2=0.9962)结果一致,对矽肺、慢性阻塞性肺病(COPD)和肺肉样肿的诊断效果也令人满意,曲线下面积(AUC)分别为 0.9748、0.8428 和 0.9128:我们建立的MNPs-CLIA方法具有自动化、高通量、快速、简便等优点,可在临床上广泛推广应用。MNPs-CLIA检测血清CC16在预测和诊断肺部疾病方面具有高效的诊断潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of serum CC16 by a rapid and ultrasensitive magnetic chemiluminescence immunoassay for lung disease diagnosis.

Objectives: It has been reported that serum Clara cell secreted protein 16 (CC16) is a potential biomarker for lung injury diseases, but currently, there is no other method that is faster, more accurate, or more sensitive being applied in clinical practice apart from ELISA. The current study was designed to established a magnetic nanoparticles chemiluminescence immunoassay (MNPs-CLIA) for highly sensitive automated detection of serum Clara cell secretory protein 16 (CC16), and validated its diagnostic performance for lung disease.

Methods: The study included the expression of CC16 recombinant protein, the preparation and screening of its monoclonal antibody (MAb), as well as the construction, optimization and analytical evaluation of the MNPs-CLIA method. The clinical application value of this method was investigated by detecting CC16 level in 296 serum samples.

Results: The linear range of the MNPs-CLIA assay system was 0.2-50 ng/mL, and the limit of detection was 0.037 ng/mL. Performance parameters such as specificity, recovery rate, and precision can meet the industry standards of in vitro diagnostic reagents. The established method reveals consistent results with ELISA (R2=0.9962) currently used clinically, and it also exhibits satisfactory diagnostic efficacy of silicosis, chronic obstructive pulmonary disease (COPD), and pulmonary sarcoidosis, with areas under the curve (AUC) of 0.9748, 0.8428 and 0.9128, respectively.

Conclusions: Our established MNPs-CLIA method has the advantages of automation, high throughput, rapidity, and simplicity, and can be promoted for widely popularized in clinical applications. MNPs-CLIA detection of serum CC16 has efficient diagnostic potentiality for predicting and diagnosing lung diseases.

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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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