Evidence map›Paper›PMID 33033495›Full record

ArticleFrontiers in genetics2020

Weighted Gene Co-expression Network Analysis of Key Biomarkers Associated With Bronchopulmonary Dysplasia.

Yao Cai, Fei Ma, LiuHong Qu, Binqing Liu, Hui Xiong, Yanmei Ma, Sitao Li, Hu Hao

Abstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  8. Role of the LRP1-pPyk2-MMP9 pathway in hyperoxia-induced lung injury in neonatal rats.Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021
    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

8 authors.

Yao CaiDepartment of Neonatology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Fei MaDepartment of Neonatology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
LiuHong QuDepartment of Neonatology, The Maternal and Child Health Care Hospital of Huadu, Guangzhou, China.
Binqing LiuDepartment of Neonatology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hui XiongDepartment of Neonatology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yanmei MaLaboratory of Inborn Metabolism Errors, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sitao LiDepartment of Neonatology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hu HaoDepartment of Neonatology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bronchopulmonary dysplasia (BPD) is a complex disorder resulting from interactions between genes and the environment. The accurate molecular etiology of BPD remains largely unclear. This study aimed to identify key BPD-associated genes and pathways functionally enriched using weighted gene co-expression network analysis (WGCNA). We analyzed microarray data of 62 pre-term patients with BPD and 38 pre-term patients without BPD from Gene Expression Omnibus (GEO). WGCNA was used to construct a gene expression network, and genes were classified into definite modules. In addition, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of BPD-related hub genes were performed. Firstly, we constructed a weighted gene co-expression network, and genes were divided into 10 modules. Among the modules, the yellow module was related to BPD progression and severity and included the following hub genes:

Indexed as

biological processbiomarkersbronchopulmonary dysplasiahub geneweighted gene co-expression network analysis

Identifiers

PMID33033495
PMCPMC7509191

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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.