Evidence map›Paper›PMID 34840704›Full record

ArticleJournal of healthcare engineering2021

Construction and Bioinformatics Analysis of the miRNA-mRNA Regulatory Network in Diabetic Nephropathy.

Yameng Li, Yukun Xu, Yawei Hou, Rui Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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  6. Research progress onFrontiers in pharmacology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yameng LiSchool of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Shandong 250014, China.
Yukun XuDepartment of Geriatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Shandong, China.
Yawei HouSchool of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Shandong 250014, China.
Rui LiDepartment of Geriatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Shandong, China.ORCID 0000-0001-5291-1269
Affiliated Hospital of Shandong University of Traditional Chinese Medicine · CNShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: MicroRNA (miRNA) has been confirmed to be involved in the occurrence, development, and prevention of diabetic nephropathy (DN), but its mechanism of action is still unclear. Objective: With the help of the GEO database, bioinformatics methods are used to explore the miRNA-mRNA regulatory relationship pairs related to diabetic nephropathy and explain their potential mechanisms of action. Methods: The DN-related miRNA microarray dataset (GSE51674) and mRNA expression dataset (GSE30122) are downloaded through the GEO database, online analysis tool GEO2R is used for data differential expression analysis, TargetScan, miRTarBase, and miRDB databases are used to predict potential downstream target genes regulated by differentially expressed miRNAs, and intersection with differential genes is used to obtain candidate target genes. According to the regulatory relationship between miRNA and mRNA, the miRNA-mRNA relationship pair is clarified, and the miRNA-mRNA regulatory network is constructed using Cytoscape. DAVID is used to perform GO function enrichment analysis and KEGG pathway analysis of candidate target genes. By GeneMANIA prediction of miRNA target genes and coexpressed genes, the protein interaction network is constructed.

Indexed as

Diabetes MellitusDiabetic NephropathiesMicroRNAsComputational BiologyGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPhosphatidylinositol 3-KinasesRNA, MessengerMicroRNAsPhosphatidylinositol 3-KinasesRNA, Messenger

Identifiers

PMID34840704
PMCPMC8616647
OpenAlexW3213848916

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.