Evidence map›Paper›PMID 35705945›Full record

ArticleRespiratory research2022

Proteome analysis of urinary biomarkers in a cigarette smoke-induced COPD rat model.

Weiwei Qin, He Huang, Yuting Dai, Wei Han, Youhe Gao

Abstract read
In one paragraph

Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
    Review
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

5 authors.

Weiwei QinDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China.
He HuangDepartment of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, China.
Yuting DaiDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China.
Wei HanDepartment of Respiratory Medicine, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China. hanw@qdu.edu.cn.
Youhe GaoDepartment of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, China. gaoyouhe@bnu.edu.cn.

Funding

Beijing cooperative construction project 110651103Beijing Normal University 11100704National Key Research and Development Program of China 2018YFC0910202National Natural Science Foundation of China 82000051National Natural Science Foundation of China 82000881
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a chronic inflammatory airway disease caused by inhalation of cigarette smoke (CS) and other harmful gases and particles.

methodsThis study aimed to explore potential urinary biomarkers for CS-induced COPD based on LC-MS/MS analysis.

resultsA total of 340 urinary proteins were identified, of which 79 were significantly changed (30, 31, and 37 at week 2, 4 and 8, respectively). GO annotation of the differential urinary proteins revealed that acute-phase response, response to organic cyclic compounds, complement activation classical pathway, and response to lead ion were significantly enriched at week 2 and 4. Another four processes were only enriched at week 8, namely response to oxidative stress, positive regulation of cell proliferation, thyroid hormone generation, and positive regulation of apoptotic process. The PPI network indicated that these differential proteins were biologically connected in CS-exposed rats. Of the 79 differential proteins in CS-exposed rats, 56 had human orthologs. Seven proteins that had changed at week 2 and 4 when there were no changes of pulmonary function and pathological morphology were verified as potential biomarkers for early screening of CS-induced COPD by proteomic analysis. Another six proteins that changed at week 8 when obvious airflow obstruction was detected were verified as potential biomarkers for prognostic assessment of CS-induced COPD.

conclusionsThese results reveal that the urinary proteome could sensitively reflect pathological changes in CS-exposed rats, and provide valuable clues for exploring COPD biomarkers.

Indexed as

Cigarette SmokingPulmonary Disease, Chronic ObstructiveAnimalsBiomarkersChromatography, LiquidLungNicotianaProteomeProteomicsRatsTandem Mass SpectrometryBiomarkersProteomeBiomarkerCigarette smokingCOPDLC–MS/MSRat modelUrinary proteome

Identifiers

PMID35705945
PMCPMC9202220

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Registered trials

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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.