Evidence map›Paper›PMID 42271307›Full record

ArticleBMC pulmonary medicine2026

Plasma proteomic profiling uncovers the age-related molecular changes in chronic obstructive pulmonary disease.

Yanpeng Li, Li Yang, Chengshui Chen, Zhangli Hu, Jian Zeng, Yun Wang, Shan Zhong

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yanpeng LiSchool of Basic Medical Sciences, Shenzhen University Medical School, No. 1066 Xueyuan Ave, Nanshan District, Shenzhen, Guangdong, 518055, People's Republic of China.
Li YangDepartment of Respiratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People's Republic of China.
Chengshui ChenDepartment of Respiratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People's Republic of China.
Zhangli HuGuangdong Provincial Key Laboratory of Functional Substances in Medicinal Resources and Healthcare Products, School of Life Sciences and Food Engineering, Hanshan Normal University, Chaozhou, Guangdong, 521041, People's Republic of China.
Jian ZengLonghua Innovation Institute for Biotechnology, College of Life Sciences and Oceanography, Shenzhen University, No. 1066 Xueyuan Ave, Nanshan District, Shenzhen, Guangdong, 518055, People's Republic of China.
Yun WangLonghua Innovation Institute for Biotechnology, College of Life Sciences and Oceanography, Shenzhen University, No. 1066 Xueyuan Ave, Nanshan District, Shenzhen, Guangdong, 518055, People's Republic of China. 13510008243@163.com.
Shan ZhongSchool of Basic Medical Sciences, Shenzhen University Medical School, No. 1066 Xueyuan Ave, Nanshan District, Shenzhen, Guangdong, 518055, People's Republic of China. shanzhong33@szu.edu.cn.

Funding

Shenzhen Basic Research Program of Science and Technology Innovation Commission No. JCYJ20230807095109019 and JCYJ20230807095112023
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with aging as a major risk factor. This study aimed to investigate age-related proteins potentially involved in COPD pathogenesis.

methodsA total of 70 plasma samples (35 healthy controls, 35 COPD patients) were analyzed by data-independent acquisition mass spectrometry (DIA-MS), with each group stratified into young (≤ 50 years) and aged (≥ 70 years) subgroups. Differentially expressed proteins were identified using the limma package in R, followed by functional enrichment and protein-protein interaction analyses. Spearman's correlation and multivariable linear regression were used to assess associations between protein levels and lung function. Receiver operating characteristic curves (ROC) were generated to evaluate the diagnostic value of aging-related proteins in COPD.

resultsA total of 534 proteins were detected by DIA-MS. Following missing value imputation and quality filtering, 413 proteins were retained for analysis. Comparative analysis revealed 20 proteins differentially expressed between young and aged COPD patients (11 upregulated, 9 downregulated), which were significantly enriched in pathways including glutathione metabolism, nitrogen metabolism, endoplasmic reticulum protein processing, and PI3K-Akt signaling. Notably, expression levels of polymeric immunoglobulin receptor (PIGR), thrombospondin-1 (TSP1), secreted protein acidic and rich in cysteine (SPRC), and adiponectin (ADIPO) were correlated with FEV₁/FVC ratio in COPD patients; PIGR and ADIPO remained independently associated after adjusting for covariates. An exploratory model integrating these four proteins with age demonstrated reasonable discriminatory ability for COPD (AUC 0.818; 95% CI: 0.718-0.917).

conclusionOur findings identify four plasma proteins-PIGR, SPRC, TSP1, and ADIPO-as age-related biomarkers in COPD that may offer value for patient stratification and endotyping. These results provide new insights into the role of aging in COPD pathogenesis and warrant further validation.

Indexed as

AgingPulmonary Disease, Chronic ObstructiveAdiponectinAdultAgedAge FactorsBiomarkersCase-Control StudiesFemaleHumansLinear ModelsMaleMass SpectrometryMiddle AgedProteomicsROC CurveAdiponectinBiomarkersThrombospondin 1AgingBiomarkerCOPDPlasmaProteome

Identifiers

PMID42271307
PMCPMC13479710

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.