Evidence map›Paper›PMID 37139166›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2023

CC16 as an Inflammatory Biomarker in Induced Sputum Reflects Chronic Obstructive Pulmonary Disease (COPD) Severity.

Mengjie Chen, Kan Xu, Yuting He, Jianjun Jin, Ruolin Mao, Lei Gao, Yi Zhang, Gang Wang, Peng Gao, Min Xie and 2 more

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  4. Article
  5. Frontiers in immunology · 2025
    Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Mengjie Chen *Department of Respiratory and Critical Care Medicine of Zhongshan Hospital, Shanghai Institute of Respiratory Disease, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-0554-2445
Kan Xu *Geriatric Department of Zhongshan Hospital, Shanghai Institute of Respiratory Disease, Fudan University, Shanghai, People's Republic of China.
Yuting He *Department of Respiratory and Critical Care Medicine of Zhongshan Hospital, Shanghai Institute of Respiratory Disease, Fudan University, Shanghai, People's Republic of China.
Jianjun JinResearch Center of Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Ruolin MaoDepartment of Respiratory and Critical Care Medicine of Zhongshan Hospital, Shanghai Institute of Respiratory Disease, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0003-1463-0321
Lei GaoDepartment of Respiratory and Critical Care Medicine of Zhongshan Hospital, Shanghai Institute of Respiratory Disease, Fudan University, Shanghai, People's Republic of China.
Yi ZhangAir Liquide Holding Co., Ltd, Shanghai, People's Republic of China.
Gang WangDepartment of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Peng GaoDepartment of Respiratory Medicine, The Second Affiliated Hospital of Jilin University, Changchun, People's Republic of China.ORCID 0000-0001-7328-1235
Min XieDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical 10 College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.ORCID 0000-0003-4052-1647
Chunfang LiuDepartment of Laboratory Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Zhihong ChenDepartment of Respiratory and Critical Care Medicine of Zhongshan Hospital, Shanghai Institute of Respiratory Disease, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The progression of an abnormal inflammatory response plays a crucial role in the lung function decline of chronic obstructive pulmonary disease (COPD) patients. Compared to serum biomarkers, inflammatory biomarkers in induced sputum would be a more reliable reflection of inflammatory processes in the airways. Patients and Methods: A total of 102 COPD participants were divided into a mild-to-moderate group (FEV1%pred≥ 50%, n=57) and a severe-to-very-severe group (FEV1%pred<50%, n=45). We measured a series of inflammatory biomarkers in induced sputum and analyzed their association with lung function and SGRQ in COPD patients. To evaluate the relationship between inflammatory biomarkers and the inflammatory phenotype, we also analyzed the correlation between biomarkers and airway eosinophilic phenotype. Results: We found increased mRNA levels of MMP9, LTB4R, and A1AR and decreased levels of CC16 mRNA in induced sputum in the severe-to-very-severe group. After adjustment for age, sex and other biomarkers, CC16 mRNA expression was positively associated with FEV1%pred (r=0.516, p=0.004) and negatively correlated with SGRQ scores (r=-0.3538, p=0.043). As previously known, decreased CC16 was related to the migration and aggregation of eosinophils in airway. It was also found that CC16 had a moderate negative correlation with the eosinophilic inflammation in airway (r=-0.363, p=0.045) in our COPD patients. Conclusion: Low CC16 mRNA expression levels in induced sputum were associated with low FEV1%pred and a high SGRQ score in COPD patients. Sputum CC16 as a potential biomarker for predicting COPD severity in clinical practice might attribute to the involvement of CC16 in airway eosinophilic inflammation.

Indexed as

Pulmonary Disease, Chronic ObstructiveBiomarkersEosinophilsHumansInflammationSputumBiomarkersairway inflammationbiomarkersCC16COPDinduced sputumlung function

Identifiers

PMID37139166
PMCPMC10150740

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.