Evidence map›Paper›PMID 29145252›Full record

ArticleMedicine2017

Identifications of potential therapeutic targets and drugs in angiotensin II-induced hypertension.

Xiaoli Wu, Ruihua Fan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Xiaoli WuaDepartment of Pharmacy bDepartment of Medical Oncology, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, Jiangsu, China.
Ruihua Fan
Huaian First People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify the underlying therapeutic targets of angiotensin II (AngII)-induced hypertension, and screen the related drugs.The gene expression profiles of GSE93579 and GSE75815 were used to identify differentially expressed genes (DEGs) between AngII-induced hypertension and control samples based on meta-analysis. These DEGs were analyzed using Gene-Ontology (GO) function and pathway enrichment methods. Subsequently, the weighed gene coexpression network analysis (WGCNA)-based meta-analysis was applied to determine transcriptional signature with DEGs. Additionally, the functions of the modules were analyzed based on the network, and miRNAs were identified. Finally, small molecule drugs correlation with DEGs was identified.In total, 346 upregulated DEGs (e.g., Rgs7 bp) and 360 downregulated DEGs (e.g., Ebf3) were identified between AngII and control samples. In addition, a total of 150 DEGs in the brown, red, and yellow modules with higher correlation coefficient according to WGCNA, were used to construct the coexpression network, including Rgs7 bp and Ebf3, etc. in brown modules. Besides, 3 modules were obtained after the functions of the modules analysis. Moreover, 5 miRNAs were integrated in modules, including miR-124A, miR-524, miR-493, miR-323, and miR-203. Finally, anisomycin was the highest correlation with DEGs.MiR-124a might be involved in the pathogenesis of hypertension via targeting Ebf3 and Rgs7 bp, which possibly represent a novel and effective strategy for treatment of hypertension. Anisomycin might be performed to reduce blood pressure by blocking MAPK signaling pathway.

Indexed as

Gene Expression ProfilingMolecular Targeted TherapyAngiotensin IIAnimalsDisease Models, AnimalGene OntologyHypertensionMiceMicroRNAsAngiotensin IIMicroRNAs

Identifiers

PMID29145252
PMCPMC5704797
OpenAlexW2769753284

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.