Evidence map›Paper›PMID 28588348›Full record

ArticleMediators of inflammation2017

Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis.

Lichao Fan, Xiaoting Yu, Ziling Huang, Shaoqiang Zheng, Yongxin Zhou, Hanjing Lv, Yu Zeng, Jin-Fu Xu, Xuyou Zhu, Xianghua Yi

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Biomarkers in idiopathic pulmonary fibrosis: Current insight and future direction.Chinese medical journal pulmonary and critical care medicine · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Lichao FanDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0002-3981-6731
Xiaoting YuDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0003-4615-6724
Ziling HuangDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
Shaoqiang ZhengDepartment of Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0002-1315-5381
Yongxin ZhouDepartment of Thoracic-Cardiovascular Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0001-9728-8829
Hanjing LvDepartment of Respiratory Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0002-2708-9100
Yu ZengDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0002-9415-0610
Jin-Fu XuDepartment of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200443, China.ORCID 0000-0002-8039-8973
Xuyou ZhuDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0002-0355-4960
Xianghua YiDepartment of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0002-4102-7811
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify potential microRNAs and genes associated with idiopathic pulmonary fibrosis (IPF) through web-available microarrays. The microRNA microarray dataset GSE32538 and the mRNA datasets GSE32537, GSE53845, and GSE10667 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DE-miRNAs)/genes (DEGs) were screened with GEO2R, and their associations with IPF were analyzed by comprehensive bioinformatic analyses. A total of 45 DE-microRNAs were identified between IPF and control tissues, whereas 67 common DEGs were determined to exhibit the same expression trends in all three microarrays. Furthermore, functional analysis indicated that microRNAs in cancer and ECM-receptor interaction were the most significant pathways and were enriched by the 45 DE-miRNAs and 67 common DEGs. Finally, we predicted potential microRNA-target interactions between 17 DE-miRNAs and 17 DEGs by using at least three online programs. A microRNA-mediated regulatory network among the DE-miRNAs and DEGs was constructed that might shed new light on potential biomarkers for the prediction of IPF progression.

Indexed as

BiomarkersComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansIdiopathic Pulmonary FibrosisMicroRNAsRNA, MessengerBiomarkersMicroRNAsRNA, Messenger

Identifiers

PMID28588348
PMCPMC5446886
OpenAlexW2612599066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.