Evidence map›Paper›PMID 41216128›Full record

ArticleMedComm2025

Quantitative Computed Tomographic Clusters in C-BIOPRED Asthma Cohort: Association with Sputum Proteomics.

Zhenan Deng, Tingting Xia, Chenyang Lu, Xuliang Cai, Yujing Liu, Zhongmin Qiu, Xiaoyang Wei, Wei Gu, Dandan Chen, Jianping Zhao and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

21 authors.

Zhenan DengState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center For Respiratory Medicine, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Tingting XiaDepartment of Radiology The First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Chenyang LuState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center For Respiratory Medicine, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Xuliang CaiState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center For Respiratory Medicine, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Yujing LiuAstraZeneca Shanghai China.
Zhongmin QiuDepartment of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine Tongji University Shanghai China.
Xiaoyang WeiDepartment of Respiratory Medicine The Eighth Medical Center of PLA General Hospital Beijing China.
Wei GuDepartment of Respiratory Medicine Nanjing First Hospital Nanjing Medical University Nanjing China.
Dandan ChenDepartment of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Diseases The First Affiliated Hospital (Shenzhen People's Hospital) and School of Medicine, Southern University of Science and Technology Shenzhen China.
Jianping ZhaoDepartment of Respiratory Medicine Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Xiaoxia LiuDepartment of Respiratory Medicine Beijing Friendship Hospital Capital Medical University Beijing China.
Shenghua SunDepartment of Respiratory Medicine The Third Xiangya Hospital of Central South University Changsha China.
Huaping TangDepartment of Respiratory Medicine Qingdao Municipal Hospital Qingdao China.
Bei HeDepartment of Respiratory Medicine Peking University Third Hospital Beijing China.
Shaoxi CaiDepartment of Respiratory Medicine Nanfang Hospital of Southern Medical University Guangzhou China.
Ping ChenDepartment of Respiratory Medicine General Hospital of Northern Theater Command Shenyang China.
Nanshan ZhongState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center For Respiratory Medicine, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Kian Fan ChungNational Heart and Lung Institute Imperial College London London UK.
Meiling JinDepartment of Respiratory Medicine Zhongshan Hospital Shanghai China.
Qingling ZhangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center For Respiratory Medicine, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health The First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
C‐BIOPRED Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe asthma exhibits heterogeneity in airflow obstruction, driven by airway remodeling and air trapping, which can be noninvasively assessed via quantitative computed tomography (qCT). This study aimed to identify asthma phenotypes by clustering qCT measurements of airway dimensions, lung volumes, and densitometry, and to elucidate the underlying molecular pathways through sputum proteomics. We applied consensus clustering to qCT data from 239 asthma patients (severe and mild/moderate) and 68 healthy controls from the Chinese C-BIOPRED cohort. Four distinct qCT clusters emerged: cluster 1, characterized by luminal dilation, severe air trapping, and reduced lung density; cluster 2, with thickened airway walls and luminal narrowing without air trapping; cluster 3, showing mild luminal dilation, preserved lung volumes, and optimal spirometry; and cluster 4, featuring airway wall thickening, luminal narrowing, severe air trapping, and profound airflow obstruction. Sputum eosinophilia was elevated in clusters 1 and 4. Proteomics revealed upregulated pathways in apoptosis execution and cornified envelope formation in cluster 1, while clusters 2 and 4 exhibited enhanced complement activation, fibrin formation, plasma lipoprotein assembly, and insulin-like growth factor (IGF) transport regulation. These findings delineate qCT-derived phenotypes and their associated underlying mechanisms of airway remodeling and airflow obstruction in severe asthma.

Indexed as

airflow obstructionairway remodelingasthmahigh‐resolution computed tomographyproteomics

Identifiers

PMID41216128
PMCPMC12596986

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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.