Evidence map›Paper›PMID 27613243›Full record

ArticleBMC nephrology2016

Crucial genes associated with diabetic nephropathy explored by microarray analysis.

Zhikui Wang, Zhaoxia Wang, Zhongqi Zhou, Yueqin Ren

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  19. A Single-Cell Transcriptome Atlas of the Mouse Glomerulus.Journal of the American Society of Nephrology : JASN · 2018
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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

4 authors at 1 institution in 1 country.

Zhikui WangDepartment of Nephrology, Linyi People's Hospital, No.27 Jiefang Road, Lanshan District, Linyi, Shandong, 276003, China.
Zhaoxia WangDepartment of Nephrology, Linyi People's Hospital, No.27 Jiefang Road, Lanshan District, Linyi, Shandong, 276003, China. zhaoxiazhzhh@163.com.
Zhongqi ZhouDepartment of Nephrology, Linyi People's Hospital, No.27 Jiefang Road, Lanshan District, Linyi, Shandong, 276003, China.
Yueqin RenDepartment of Nephrology, Linyi People's Hospital, No.27 Jiefang Road, Lanshan District, Linyi, Shandong, 276003, China.
Linyi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study sought to investigate crucial genes correlated with diabetic nephropathy (DN), and their potential functions, which might contribute to a better understanding of DN pathogenesis.

methodsThe microarray dataset GSE1009 was downloaded from Gene Expression Omnibus, including 3 diabetic glomeruli samples and 3 healthy glomeruli samples. The differentially expressed genes (DEGs) were identified by LIMMA package. Their potential functions were then analyzed by the GO and KEGG pathway enrichment analyses using the DAVID database. Furthermore, miRNAs and transcription factors (TFs) regulating DEGs were predicted by the GeneCoDis tool, and miRNA-DEG-TF regulatory network was visualized by Cytoscape. Additionally, the expression of DEGs was validated using another microarray dataset GSE30528.

resultsTotally, 14 up-regulated DEGs and 430 down-regulated ones were identified. Some DEGs (e.g. MTSS1, CALD1 and ACTN4) were markedly relative to cytoskeleton organization. Besides, some other ones were correlated with arrhythmogenic right ventricular cardiomyopathy (e.g. ACTN4, CTNNA1 and ITGB5), as well as complement and coagulation cascades (e.g. C1R and C1S). Furthermore, a series of miRNAs and TFs modulating DEGs were identified. The transcription factor LEF1 regulated the majority of DEGs, such as ITGB5, CALD1 and C1S. Hsa-miR-33a modulated 28 genes, such as C1S. Additionally, 143 DEGs (one upregulated gene and 142 downregulated genes) were also differentially expressed in another dataset GSE30528.

conclusionsThe genes involved in cytoskeleton organization, cardiomyopathy, as well as complement and coagulation cascades may be closely implicated in the progression of DN, via the regulation of miRNAs and TFs.

Indexed as

TranscriptomeActininalpha CateninCalmodulin-Binding ProteinsCardiomyopathiesComplement C1rComplement C1sCytoskeletonDatabases, GeneticDiabetic NephropathiesDown-RegulationGene Expression ProfilingHumansIntegrin beta ChainsLymphoid Enhancer-Binding Factor 1Microfilament ProteinsActininACTN4 protein, humanalpha CateninCALD1 protein, humanCalmodulin-Binding ProteinsComplement C1rComplement C1sCTNNA1 protein, humanIntegrin beta ChainsITGB5 protein, humanLEF1 protein, humanLymphoid Enhancer-Binding Factor 1Microfilament ProteinsMicroRNAsMIRN33a microRNA, humanMTSS1 protein, humanNeoplasm ProteinsTranscription FactorsDiabetic nephropathyDifferentially expressed geneMicroRNANetworkTranscription factor

Identifiers

PMID27613243
PMCPMC5016939
OpenAlexW2516972062

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.