Evidence map›Paper›PMID 36819574›Full record

ArticleAnnals of translational medicine2023

Construction of a TFs-miRNA-mRNA network related to idiopathic pulmonary fibrosis.

Minhong Su, Junfang Liu, Xiping Wu, Xin Chen, Qiang Xiao, Ning Jiang

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Article in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

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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

2 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Minhong Su *Department of Respiratory and Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Junfang Liu *Department of Respiratory and Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xiping WuDepartment of Respiratory and Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xin ChenDepartment of Respiratory and Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Qiang XiaoDepartment of Pulmonary and Critical Care Medicine, Shunde Hospital, Southern Medical University, Foshan, China.
Ning JiangDepartment of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Southern Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The transcription factors (TFs)-microRNA (miRNA)-messenger RNA (mRNA) network plays an important role in a variety of diseases. However, the relationship between the TFs-miRNA-mRNA network and idiopathic pulmonary fibrosis (IPF) remains unclear. Methods: The GSE110147 and GSE53845 datasets from the Gene Expression Omnibus (GEO) database were used to process differentially expressed genes (DEGs) analysis, gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA), as well as Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The GSE13316 dataset was used to perform differentially expressed miRNAs (DEMs) analysis and TFs prediction. Finally, a TFs-miRNA-mRNA network related to IPF was constructed, and its function was evaluated by Gene Ontology (GO) and KEGG analyses. Also, 19 TFs in the network were verified by quantitative real time polymerase chain reaction (qRT-PCR). Results: Through our analysis, 53 DEMs and 2,630 DEGs were screened. The GSEA results suggested these genes were mainly related to protein digestion and absorption. The WGCNA results showed that these DEGs were divided into eight modules, and the GO and KEGG analyses results of blue module genes showed that these 86 blue module genes were mainly enriched in cilium assembly and cilium organization. Moreover, a TFs-miRNA-mRNA network comprising 25 TFs, 11 miRNAs, and 60 mRNAs was constructed. Ultimately, the functional enrichment analysis showed that the TFs-miRNA-mRNA network was mainly related to the cell cycle and the phosphatidylinositol 3 kinase-protein kinase B ( Conclusions: The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF.

Indexed as

biomarkerIdiopathic pulmonary fibrosis (IPF)networktranscription factors (TFs)weighted gene co-expression network analysis (WGCNA)

Identifiers

PMID36819574
PMCPMC9929790
OpenAlexW4316668669

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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.