Evidence map›Paper›PMID 37123074›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2023

A2M Serves as Promising Biomarker for Chronic Obstructive Pulmonary Disease.

Xinru Xiao, Wei Cai, Ziqi Ding, Yujia Shi, Liang Fan, Qian Zhang

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 79% of its field
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, 0 citations in OpenAlex.

  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

6 authors at 2 institutions in 1 country.

Xinru XiaoDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, People's Republic of China.
Wei CaiDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, People's Republic of China.
Ziqi DingDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, People's Republic of China.
Yujia ShiDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, People's Republic of China.
Liang FanDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, People's Republic of China.
Qian ZhangDepartment of Respiratory and Critical Care Medicine, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, People's Republic of China.ORCID 0000-0003-4928-3366
Changzhou No.2 People's Hospital · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) often associated with cigarette smoking. However, increasing evidence suggests that non-smoking COPD is much higher than previously thought. This study aims to identify a nonsmoking COPD biomarker and examined its value in diagnosis and prediction of acute exacerbation. Methods: A total of 35 stable COPD patients, 70 acute exacerbation chronic obstructive pulmonary disease (AECOPD) patients and 35 healthy control subjects were included. Plasma α 2 macroglobulin (A2M) and matrix metalloproteinase-9 (MMP-9) levels were measured using the enzyme-linked immunosorbent assay (ELISA) method on all participants. Their association with clinical characteristics and lung function parameters were determined by regression analysis. Receiver operating characteristic (ROC) curve was used to determine the diagnostic sensitivity and specificity. Correlation coefficients were evaluated using Pearson's correlation. Results: Plasma A2M concentration was decreased and MMP-9 concentration, MMP-9/A2M ratio were elevated in stable COPD patients compared with control groups. And MMP-9 expression was significantly higher in AECOPD patients. A2M level was increased in AECOPD patients with infection compared with those without. In addition, there was no statistical difference in A2M levels between smokers and nonsmokers COPD or healthy control subjects. Furthermore, A2M, MMP-9 and MMP-9/A2M were correlated with forced expiratory volume in one second (FEV Conclusion: A2M is altered in peripheral blood of COPD patients and correlated with severity and infection. Moreover, there was no significant correlation between the change in A2M and smoking, FeNO and CaNO, suggesting A2M may reflect the overall rather than local inflammation in COPD patients and serve as a potential biomarker for nonsmoking COPD patients.

Indexed as

Pregnancy-Associated alpha 2-MacroglobulinsPulmonary Disease, Chronic Obstructivealpha-MacroglobulinsBiomarkersFemaleForced Expiratory VolumeHumansMatrix Metalloproteinase 9Nitric OxidePregnancyA2M protein, humanalpha-MacroglobulinsBiomarkersMatrix Metalloproteinase 9Nitric OxidePregnancy-Associated alpha 2-Macroglobulinschronic obstructive pulmonary diseasematrix metalloproteinase-9α 2 macroglobulin

Identifiers

PMID37123074
PMCPMC10145514
OpenAlexW4366830947

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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.