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

免疫分析 检出限 单克隆抗体 慢性阻塞性肺病 化学发光 生物标志物 医学 抗体 免疫学 化学 色谱法 内科学 生物化学
作者
Kaili Duan,Yu Xiang,Yilong Deng,Junman Chen,Ping Liu
出处
期刊:Clinical Chemistry and Laboratory Medicine [De Gruyter]
被引量:1
标识
DOI:10.1515/cclm-2024-0724
摘要

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 (R 2 =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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
碧蓝的姝完成签到,获得积分10
2秒前
穆青完成签到,获得积分10
3秒前
3秒前
3秒前
量子星尘发布了新的文献求助10
4秒前
呆萌新之发布了新的文献求助10
4秒前
Lucas应助明亮的保温杯采纳,获得10
5秒前
wenlongliu完成签到,获得积分10
5秒前
舒服的猫咪完成签到,获得积分10
5秒前
李联洪发布了新的文献求助10
7秒前
8秒前
斯文败类应助叶叶采纳,获得10
9秒前
来一杯冰美式应助崔大冠采纳,获得10
10秒前
10秒前
11秒前
熬夜猝死的我完成签到 ,获得积分10
11秒前
乐乐应助莫大采纳,获得10
12秒前
小强呐完成签到 ,获得积分10
14秒前
Stella发布了新的文献求助50
15秒前
bytuo发布了新的文献求助10
15秒前
光之美少女完成签到,获得积分10
16秒前
自信向梦发布了新的文献求助30
16秒前
Wangle发布了新的文献求助30
18秒前
JamesPei应助元谷雪采纳,获得10
18秒前
maguodrgon发布了新的文献求助10
19秒前
木叶完成签到,获得积分10
19秒前
Sew东坡完成签到,获得积分10
19秒前
20秒前
20秒前
充电宝应助刘研采纳,获得10
22秒前
Wangyingjie5发布了新的文献求助10
23秒前
酷酷的笔记本应助阿发采纳,获得10
24秒前
24秒前
小杰完成签到 ,获得积分10
25秒前
26秒前
xiadu完成签到 ,获得积分10
27秒前
27秒前
27秒前
量子星尘发布了新的文献求助10
28秒前
自由的松发布了新的文献求助10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
Efficacy of sirolimus in Klippel-Trenaunay syndrome 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5480459
求助须知:如何正确求助?哪些是违规求助? 4581574
关于积分的说明 14381235
捐赠科研通 4510152
什么是DOI,文献DOI怎么找? 2471660
邀请新用户注册赠送积分活动 1458083
关于科研通互助平台的介绍 1431812