Evidence map›Paper›PMID 37907428›Full record

ArticleIET systems biology2023

Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease.

Peipei Chen, Lubin Xie, Leikai Ma, Xianda Zhao, Yong Chen, Zhouling Ge

Open access · goldAbstract read
In one paragraph

Article in IET systems biology, 2023. 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
2.8field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 4 institutions in 1 country.

Peipei ChenDepartment of Respiratory Medicine, Wenzhou People's Hospital, Wenzhou, China.
Lubin XieDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Leikai MaDepartment of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xianda ZhaoDepartment of Anesthesiology, First People's Hospital of Wenling, Wenling, China.
Yong ChenDepartment of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Zhouling GeDepartment of Respiratory Medicine, Wenzhou People's Hospital, Wenzhou, China.ORCID 0009-0001-1271-003X
Wenzhou City People's Hospital · CNWenzhou Medical University · CNThe First People's Hospital of Wenling · CNTongji University · CN

Funding

Basic Public Welfare Research Program of Zhejiang Province LQ21H010002Science and Technology Plan Project of Wenzhou Municipality 2021Y1398the Scientific Research Incubation Project of the First Affiliated Hospital of Wenzhou Medical University FHY2019070
6 · The paper itself

Abstract

With increasing research on idiopathic pulmonary fibrosis (IPF) and gastroesophageal reflux disease (GERD), more and more studies have indicated that GERD is associated with IPF, but the underlying pathological mechanisms remain unclear. The aim of the present study is to identify and analyse the differentially expressed genes (DEGs) between IPF and GERD and explore the relevant molecular mechanisms via bioinformatics analysis. Four GEO datasets (GSE24206, GSE53845, GSE26886, and GSE39491) were downloaded from the GEO database, and DEGs between IPF and GERD were identified with the online tool GEO2R. Subsequently, a series of bioinformatics analyses are conducted, including Kyoto Encyclopaedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses, the PPI network, biological characteristics, TF-gene interactions, TF-miRNA coregulatory networks, and the prediction of drug molecules. Totally, 71 genes were identified as DEGs in IPF and GERD. Five KEGG pathways, including Amoebiasis, Protein digestion and absorption, Relaxin signalling pathway, AGE-RAGE signalling pathway in diabetic complications, and Drug metabolism - cytochrome P450, were significantly enriched. In addition, eight hub genes, including POSTN, MMP1, COL3A1, COL1A2, CXCL12, TIMP3, VCAM1, and COL1A1 were selected from the PPI network by Cytoscape software. Then, five hub genes (MMP1, POSTN, COL3A1, COL1A2, and COL1A1) with high diagnostic values for IPF and GERD were validated by GEO datasets. Finally, TF-gene and miRNA interaction was identified with hub genes and predicted drug molecules for the IPF and GERD. And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD. This study will provide novel strategies for the identification of potential biomarkers and valuable therapeutic targets for IPF and GERD.

Indexed as

Gastroesophageal RefluxIdiopathic Pulmonary FibrosisMicroRNAsBiomarkers, TumorComputational BiologyGene Expression ProfilingHumansMatrix Metalloproteinase 1Biomarkers, TumorMatrix Metalloproteinase 1MicroRNAsbioinformaticsdata analysisdata miningstatistical analysis

Identifiers

PMID37907428
PMCPMC10725712
OpenAlexW4388138426

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.