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

  • Kaili Duan ORCID logo , Yu Xiang , Yilong Deng , Junman Chen EMAIL logo und Ping Liu EMAIL logo
Veröffentlicht/Copyright: 30. Juli 2024

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.


Corresponding authors: Junman Chen, PhD and Ping Liu, PhD, Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, 1 Medical College Rd., Chongqing, 400016, China, E-mail: (J. Chen), (P. Liu)
Kaili Duan and Yu Xiang contributed equally to this work.

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

Award Identifier / Grant number: W0183

Funding source: Chongqing Technical Innovation and Application Development Special Project

Award Identifier / Grant number: CSTB2021TIAD-KPX0066

Award Identifier / Grant number: 82302621

Funding source: Science and Technology Research Program of Chongqing Municipal Education Commission

Award Identifier / Grant number: KJQN202300435

  1. Research ethics: Chongqing Medical University Ethical Review Committee, protocol number: 2024048.

  2. Informed consent: Not applicable.

  3. Author contributions: Kaili Duan and Yu Xiang: conceptualization, methodology, writing – original draft, formal analysis. Yilong Deng: software, investigation, validation. Junman Chen: data curation, supervision, writing – review & editing. Ping Liu: conceptualization, resources, writing – review & editing, project administration. The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: This work was supported by the Chongqing Technical Innovation and Application Development Special Project (CSTB2021TIAD-KPX0066), National Natural Science Foundation of China (82302621), Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202300435), Future Medical Youth Innovation Team Development Support Program Project of Chongqing Medical University (Grant No. W0183).

  6. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2024-0724).


Received: 2024-02-22
Accepted: 2024-07-22
Published Online: 2024-07-30
Published in Print: 2025-01-29

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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