Detection of serum CC16 by a rapid and ultrasensitive magnetic chemiluminescence immunoassay for lung disease diagnosis

Author:

Duan Kaili1ORCID,Xiang Yu2,Deng Yilong3,Chen Junman1,Liu Ping1

Affiliation:

1. Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education) , 12550 College of Laboratory Medicine, Chongqing Medical University , Chongqing , China

2. Department of Laboratory Medicine , 12550 The First Affiliated Hospital of Chongqing Medical University , Chongqing , China

3. Bioscience (Tianjin) Diagnostic Technology Co., Ltd , Tianjin , China

Abstract

Abstract 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.

Funder

Future Medical Youth Innovation Team Development Support Program Project of Chongqing Medical University

Chongqing Technical Innovation and Application Development Special Project

National Natural Science Foundation of China

Science and Technology Research Program of Chongqing Municipal Education Commission

Publisher

Walter de Gruyter GmbH

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