Evidence map›Paper›PMID 33354437›Full record

ArticlePeerJ2020

Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease.

Jie Zhang, Changli Zhu, Hong Gao, Xun Liang, Xiaoqian Fan, Yulong Zheng, Song Chen, Yufeng Wan

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Jie Zhang *Department of Respiratory Diseases, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
Changli Zhu *Department of Respiratory Diseases, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
Hong GaoDepartment of Respiratory Diseases, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
Xun LiangCollege of Nursing and Midwifery, Jiangsu College of Nursing, Huai'an, Jiangsu, China.
Xiaoqian FanDepartment of Emergency Medicine, Suqian First Hospital, Suqian, Jiangsu, China.
Yulong ZhengDepartment of Respiratory Diseases, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
Song ChenInstitute of Medicinal Biotechnology, Jiangsu College of Nursing, Huai'an, Jiangsu, China.
Yufeng WanDepartment of Respiratory Diseases, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
Second People’s Hospital of Huai’an · CNJiangsu Vocational College of Medicine · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We sought to identify the biomarkers related to the clinical severity of stage I to stage IV chronic obstructive pulmonary disease (COPD). Gene expression profiles from the blood samples of COPD patients at each of the four stages were acquired from the Gene Expression Omnibus Database (GEO, accession number: GSE54837). Genes showing expression changes among the different stages were sorted by soft clustering. We performed functional enrichment, protein-protein interaction (PPI), and miRNA regulatory network analyses for the differentially expressed genes. The biomarkers associated with the clinical classification of COPD were selected from logistic regression models and the relationships between TLR2 and inflammatory factors were verified in clinical blood samples by qPCR and ELISA. Gene clusters demonstrating continuously rising or falling changes in expression (clusters 1, 2, and 7 and clusters 5, 6, and 8, respectively) from stage I to IV were defined as upregulated and downregulated genes, respectively, and further analyzed. The upregulated genes were enriched in functions associated with defense, inflammatory, or immune responses. The downregulated genes were associated with lymphocyte activation and cell activation. TLR2, HMOX1, and CD79A were hub proteins in the integrated network of PPI and miRNA regulatory networks. TLR2 and CD79A were significantly correlated with clinical classifications. TLR2 was closely associated with inflammatory responses during COPD progression. Functions associated with inflammatory and immune responses as well as lymphocyte activation may play important roles in the progression of COPD from stage I to IV.

Indexed as

Chronic obstructive pulmonary diseaseFunctional enrichment analysisLogistic regression modelProtein–protein interactionStage

Identifiers

PMID33354437
PMCPMC7733647
OpenAlexW3111376933

What OpenQuestion holds

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LicenceCC BY
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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.