Evidence map›Paper›PMID 27802793›Full record

ArticleRenal failure2017

Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles.

Guohua Wang, Lan Wu, Zhi Chen, Jinghui Sun

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% 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, 15 citations in OpenAlex.

  1. Article
  2. MicroRNAs: The Missing Link between Hypertension and Periodontitis?International journal of molecular sciences · 2024
    Review
  3. Annals of translational medicine · 2021
    Article
  4. Article
  5. Epigenetic modification: a regulatory mechanism in essential hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2019
    Review
  6. Article
  7. Review
  8. microRNA-21 and hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2018
    Review
  9. Review
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.

Guohua Wanga Department of Pediatrics , The First Hospital of Jilin University , Changchun , China.
Lan Wua Department of Pediatrics , The First Hospital of Jilin University , Changchun , China.
Zhi Chenb Department of Nephrology , The First Hospital of Jilin University , Changchun , China.
Jinghui Suna Department of Pediatrics , The First Hospital of Jilin University , Changchun , China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsDefect in kidney is one major reason of hypertension. The study aimed ao uncovering the regulatory mechanisms of miRNAs and the targets in hypertensive kidney.

methodsGene expression profile of GSE28345 and miRNA expression profile of GSE28283 were downloaded from GEO database. After data preprocessing, differently expressed genes (DEGs) and miRNAs (DE-miRs) were identified using limma package. Then targets of miRNAs were predicted according to information in relevant databases. Function and pathway enrichment analyses were performed for DEGs using DAVID software. Furthermore, protein-protein interaction (PPI) networks were constructed for up- and down-regulated genes, respectively, using the Cytoscape. Additionally, for down-regulated DEGs, the integrated regulatory network was established combining PPI network with the miRNA-mRNA interactions.

resultsAs a result, 285 DEGs were identified, including 177 up-regulated and 108 down-regulated genes. Combined with the predicted targets of miRNAs, 22 up-regulated DE-miRs were identified. In the integrated network for down-regulated DEGs, three crucial nodes were identified as ASPN, COL12A1, and SCN2A. ASPN was predicted as target of miR-21 and miR-374b, and COL12A1 was the target of miR-30e, miR-21, and miR-195, while SCN2A was the target of miR-30e, miR-374b, and miR-195. Notably, COL12A1 and ASPN were linked with each other in the network.

conclusionThree crucial genes were identified in hypertensive kidney, such as COL12A1, ASPN, and SCN2A. ASPN might co-function with COL12A1, and they both might be the targets of miR-21. SCN2A might be a novel target of miR-30e and miR-374b. However, more experiments are needed to validate these results.

Indexed as

Collagen Type XIIDown-RegulationExtracellular Matrix ProteinsGene Expression ProfilingHumansHypertensionKidney CortexMaleMicroarray AnalysisMicroRNAsNAV1.2 Voltage-Gated Sodium ChannelUp-RegulationASPN protein, humanCOL12A1 protein, humanCollagen Type XIIExtracellular Matrix ProteinsMicroRNAsMIRN21 microRNA, humanMIRN30b microRNA, humanMIRN375 microRNA, humanNAV1.2 Voltage-Gated Sodium ChannelSCN2A protein, humanHypertensionkidneymicroarraymiRNAprotein–protein interaction

Identifiers

PMID27802793
PMCPMC6014400
OpenAlexW2547583931

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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.